diff --git a/inst/doc/v05_compoisson.R b/inst/doc/v05_compoisson.R
index 98a9406a03be707c7de4df0368456e8a0838e493..7a51b159d47ad0bc5ece60b6f1a835103e596eda 100644
--- a/inst/doc/v05_compoisson.R
+++ b/inst/doc/v05_compoisson.R
@@ -1,22 +1,22 @@
-## ----setup, include=FALSE-----------------------------------------
+## ----setup, include=FALSE------------------------------------------------
source("_setup.R")
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
library(MRDCr)
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
llcmp
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
cmp
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
set.seed(2016)
x <- rep(1:3, 2)
@@ -49,127 +49,120 @@ mle2(llcmp, start = start,
vecpar = TRUE)
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
-data(capdesfo)
-str(capdesfo)
-## help(capdesfo)
+data(capmosca)
+str(capmosca)
+## help(capmosca)
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
+
+capmosca <- aggregate(ncap ~ vaso + dexp, data = capmosca, FUN = sum)
+str(capmosca)
+
+
+## ------------------------------------------------------------------------
## Experimento balanceado
-xtabs(~est + des, data = capdesfo)
+xtabs(~dexp, data = capmosca)
library(lattice)
library(latticeExtra)
-(xy <- xyplot(ncap ~ des | est,
- data = capdesfo,
- xlab = "Nível de desfolha artificial",
- ylab = "Número de capulhos produzidos",
- type = c("p", "g", "smooth"),
- panel = panel.beeswarm,
- r = 0.05))
+(xy <- xyplot(ncap ~ dexp,
+ data = capmosca,
+ xlab = "Dias de infestação",
+ ylab = "Número de capulhos produzidos",
+ type = c("p", "g", "smooth"),
+ panel = panel.beeswarm,
+ r = 0.05))
## Avaliando preliminarmente suposição de equidispersão
-(mv <- aggregate(ncap ~ est + des, data = capdesfo,
+(mv <- aggregate(ncap ~ dexp, data = capmosca,
FUN = function(x) c(mean = mean(x), var = var(x))))
-xlim <- ylim <- extendrange(c(mv$ncap), f = 0.05)
-xyplot(ncap[, "var"] ~ ncap[, "mean"],
- data = mv,
- xlim = xlim,
- ylim = ylim,
- ylab = "Variância Amostral",
- xlab = "Média Amostral",
- panel = function(x, y) {
- panel.xyplot(x, y, type = c("p", "r"), grid = TRUE)
- panel.abline(a = 0, b = 1, lty = 2)
- })
-
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
## Preditores considerados
f1 <- ncap ~ 1
-f2 <- ncap ~ des + I(des^2)
-f3 <- ncap ~ est:des + I(des^2)
-f4 <- ncap ~ est:(des + I(des^2))
+f2 <- ncap ~ dexp
+f3 <- ncap ~ dexp + I(dexp^2)
## Ajustando os modelos Poisson
-m1P <- glm(f1, data = capdesfo, family = poisson)
-m2P <- glm(f2, data = capdesfo, family = poisson)
-m3P <- glm(f3, data = capdesfo, family = poisson)
-m4P <- glm(f4, data = capdesfo, family = poisson)
+m1P <- glm(f1, data = capmosca, family = poisson)
+m2P <- glm(f2, data = capmosca, family = poisson)
+m3P <- glm(f3, data = capmosca, family = poisson)
## Ajustando os modelos COM-Poisson
-m1C <- cmp(f1, data = capdesfo)
-m2C <- cmp(f2, data = capdesfo)
-m3C <- cmp(f3, data = capdesfo)
-m4C <- cmp(f4, data = capdesfo)
+m1C <- cmp(f1, data = capmosca)
+m2C <- cmp(f2, data = capmosca)
+m3C <- cmp(f3, data = capmosca)
+
+## ------------------------------------------------------------------------
-## -----------------------------------------------------------------
+library(bbmle)
## Verossimilhancas dos modelos ajustados
-cbind("Poisson" = sapply(list(m1P, m2P, m3P, m4P), logLik),
- "COM-Poisson" = sapply(list(m1C, m2C, m3C, m4C), logLik))
+cbind("Poisson" = sapply(list(m1P, m2P, m3P), logLik),
+ "COM-Poisson" = sapply(list(m1C, m2C, m3C), logLik))
## Teste de razão de verossimilhanças
-anova(m1P, m2P, m3P, m4P, test = "Chisq")
-anova(m1C, m2C, m3C, m4C)
+anova(m1P, m2P, m3P, test = "Chisq")
+anova(m1C, m2C, m3C)
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
## Estimativas dos parâmetros
-summary(m4P)
-summary(m4C)
+summary(m3P)
+summary(m3C)
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
## Um dos problemas computacionais do modelo COM-Poisson é a obtenção da
## constante de normalização Z. Assim uma visualização pós ajuste para
## verificar se o ajuste proporcionou uma densidade válida se faz
## necessária
-convergencez(m4C)
+convergencez(m3C)
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
## Dado que o modelo COM-Poisson leva as mesmas estimativas pontuais que
## o modelo Poisson a análise de diagnóstico padrão pode ser utilizada
par(mfrow = c(2, 2))
-plot(m4P)
+plot(m3P)
-## ---- cache = TRUE------------------------------------------------
+## ---- cache = TRUE-------------------------------------------------------
##-------------------------------------------
## Testando a nulidade do parâmetro phi
## Usando o ajuste Poisson
-trv <- 2 * (logLik(m4C) - logLik(m4P))
+trv <- 2 * (logLik(m3C) - logLik(m3P))
attributes(trv) <- NULL
round(c(trv, pchisq(trv, 1, lower = FALSE)), digits = 5)
## Reajustando o COM-Poisson para phi = 0 (ou equivalente nu = 1)
-m4Cfixed <- cmp(f4, data = capdesfo, fixed = list("phi" = 0))
-anova(m4C, m4Cfixed)
+m3Cfixed <- cmp(f3, data = capmosca, fixed = list("phi" = 0))
+anova(m3C, m3Cfixed)
## Via perfil de log-verossimilhança
-perf <- profile(m4C, which = 1)
+perf <- profile(m3C, which = 1)
confint(perf)
plot(perf)
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
##-------------------------------------------
## Verificando a matriz ve variâncias e covariâncias
-Vcov <- vcov(m4C)
+Vcov <- vcov(m3C)
Corr <- cov2cor(Vcov)
library(corrplot)
@@ -178,71 +171,477 @@ corrplot.mixed(Corr, lower = "number", upper = "ellipse",
tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
-## Predição pontual
-pred <- with(capdesfo,
+## Predição pontual/intervalar
+pred <- with(capmosca,
expand.grid(
- est = levels(est),
- des = seq(min(des), max(des), l = 20)
+ dexp = seq(min(dexp), max(dexp), l = 50)
))
+qn <- qnorm(0.975) * c(fit = 0, lwr = -1, upr = 1)
##-------------------------------------------
## Considerando a Poisson
-mediasP <- exp(predict(m4P, newdata = pred))
-aux <- data.frame(modelo = "Poisson", fit = mediasP)
+aux <- predict(m3P, newdata = pred, se.fit = TRUE)
+aux <- with(aux, exp(fit + outer(se.fit, qn, FUN = "*")))
+aux <- data.frame(modelo = "Poisson", aux)
predP <- cbind(pred, aux)
##-------------------------------------------
## Considerando a COM-Poisson
-f4; f4[[2]] <- NULL; f4
-X <- model.matrix(f4, data = pred)
+f3; f3[-2]
+X <- model.matrix(f3[-2], data = pred)
## Obtendo os parâmetros da distribuição (lambdas e phi)
-betas <- coef(m4C)[-1]
-phi <- coef(m4C)[1]
+betas <- coef(m3C)[-1]
+phi <- coef(m3C)[1]
loglambdas <- X %*% betas
-## Aplicando a "inversa da função de ligação", ou seja, obtendo as
-## contagens médias
-mediasC <- sapply(loglambdas, FUN = function(p) {
- y <- 0:50; py <- dcmp(y, p, phi, sumto = 100)
- sum(y*py)
-})
-aux <- data.frame(modelo = "COM-Poisson", fit = mediasC)
+## Obtendo os erros padrão das estimativas
+## Obs.: Deve-se usar a matriz de variâncias e covariâncias
+## condicional, pois os parâmetros de locação (betas) e dispersão
+## (phi) não são ortogonais.
+Vc <- Vcov[-1, -1] - Vcov[-1, 1] %*% solve(Vcov[1, 1]) %*% Vcov[1, -1]
+U <- chol(Vc)
+se <- sqrt(apply(X %*% t(U), MARGIN = 1, FUN = function(x) {
+ sum(x^2)
+}))
+
+aux <- c(loglambdas) + outer(se, qn, FUN = "*")
+aux <- apply(aux, MARGIN = 2,
+ FUN = function(col) {
+ sapply(col, FUN = function(p) {
+ y <- 0:30; py <- dcmp(y, p, phi, sumto = 50)
+ sum(y*py)
+ })
+ })
+aux <- data.frame(modelo = "COM-Poisson", aux)
predC <- cbind(pred, aux)
##-------------------------------------------
-## Visualizando os valores preditos pelos dois modelos
+## Visualizando os valores preditos intervalares pelos dois modelos
da <- rbind(predP, predC)
-update(xy, type = c("p", "g")) +
- as.layer(xyplot(fit ~ des | est,
+## Legenda
+cols <- trellis.par.get("superpose.line")$col[1:2]
+key <- list(
+ lines = list(lty = 1, col = cols),
+ rect = list(col = cols, alpha = 0.1, lty = 3, border = NA),
+ text = list(c("Poisson", "COM-Poisson")))
+
+## Gráfico dos valores preditos e IC de 95% para média
+update(xy, type = c("p", "g"), key = key, alpha = 0.7) +
+ as.layer(xyplot(fit ~ dexp,
groups = modelo,
- data = da, type = "l"))
+ data = da,
+ type = "l",
+ ly = da$lwr,
+ uy = da$upr,
+ cty = "bands",
+ alpha = 0.5,
+ prepanel = prepanel.cbH,
+ panel.groups = panel.cbH,
+ panel = panel.superpose))
+
+
+## ------------------------------------------------------------------------
+
+data(soja)
+str(soja)
+## help(soja)
+
+
+## ------------------------------------------------------------------------
+## Observação 74 foi diagnosticada como outlier
+soja <- soja[-74, ]
+soja <- transform(soja, K = factor(K))
+
+
+## ---- fig.height = 12----------------------------------------------------
+
+## Experimento (des)balanceado
+xtabs(~K + umid, data = soja)
+
+key <- list(
+ type = "b", divide = 1,
+ ## points = list(pch = 1, col = cols),
+ lines = list(pch = 1, lty = 1,
+ col = c(cols, trellis.par.get("dot.symbol")$col)),
+ text = list(c("Nº de grãos por parcela", "Nº de vagens viáveis",
+ "Nº de grãos por vagem")))
+
+xy1 <- xyplot(ngra + nvag ~ K | umid,
+ data = soja,
+ xlab = "Nível de adubação potássica",
+ ylab = "Contagem",
+ type = c("p", "g", "smooth"),
+ key = key,
+ layout = c(NA, 1),
+ strip = strip.custom(
+ strip.names = TRUE, var.name = "Umidade"))
+
+xy2 <- xyplot(ngra/nvag ~ K | umid,
+ data = soja,
+ xlab = "Nível de adubação potássica",
+ ylab = "Contagem",
+ type = c("p", "g", "smooth"),
+ layout = c(NA, 1),
+ strip = strip.custom(
+ strip.names = TRUE, var.name = "Umidade"))
-## -----------------------------------------------------------------
+print(xy1, split = c(1, 1, 1, 2), more = TRUE)
+print(xy2, split = c(1, 2, 1, 2), more = FALSE)
-## Predição intervalar
-qn <- qnorm(0.975) * c(lwr = -1, upr = 1)
+
+## ------------------------------------------------------------------------
+
+## Avaliando preliminarmente suposição de equidispersão
+(mv <- aggregate(cbind(ngra, nvag, ng2v = ngra/nvag) ~ K + umid,
+ data = soja, FUN = function(x)
+ c(mean = mean(x), var = var(x))))
##-------------------------------------------
-## Considerando a Poisson
-aux <- predict(m4P, newdata = pred, se.fit = TRUE)
-aux <- with(aux, exp(fit + outer(se.fit, qn, FUN = "*")))
-predP <- cbind(predP, aux)
+## Para o número de grãos
+xlim <- ylim <- extendrange(c(mv$ngra), f = 0.05)
+mvp1 <- xyplot(ngra[, "var"] ~ ngra[, "mean"],
+ data = mv,
+ xlim = xlim, ylim = ylim,
+ ylab = "Variância Amostral",
+ xlab = "Média Amostral",
+ main = "Número de grãos por parcela",
+ panel = function(x, y) {
+ panel.xyplot(x, y, type = c("p", "r"), grid = TRUE)
+ panel.abline(a = 0, b = 1, lty = 2)
+ })
+
+##-------------------------------------------
+## Para o número de vagens
+xlim <- ylim <- extendrange(c(mv$nvag), f = 0.05)
+mvp2 <- xyplot(nvag[, "var"] ~ nvag[, "mean"],
+ data = mv,
+ xlim = xlim, ylim = ylim,
+ ylab = "Variância Amostral",
+ xlab = "Média Amostral",
+ main = "Número de vagens viáveis",
+ panel = function(x, y) {
+ panel.xyplot(x, y, type = c("p", "r"), grid = TRUE)
+ panel.abline(a = 0, b = 1, lty = 2)
+ })
+
+##-------------------------------------------
+## Para o número de grãos por vagem
+xlim <- ylim <- extendrange(c(mv$ng2v), f = 0.05)
+mvp3 <- xyplot(ng2v[, "var"] ~ ng2v[, "mean"],
+ data = mv,
+ xlim = xlim, ylim = ylim,
+ ylab = "Variância Amostral",
+ xlab = "Média Amostral",
+ main = "Número grãos por vagem",
+ panel = function(x, y) {
+ panel.xyplot(x, y, type = c("p", "r"), grid = TRUE)
+ panel.abline(a = 0, b = 1, lty = 2)
+ })
+
+print(mvp1, split = c(1, 1, 3, 1), more = TRUE)
+print(mvp2, split = c(2, 1, 3, 1), more = TRUE)
+print(mvp3, split = c(3, 1, 3, 1), more = FALSE)
+
+
+## ------------------------------------------------------------------------
+
+##-------------------------------------------
+## Para o número de vagens viáveis por parcela
+
+## Preditores considerados
+f1.nv <- nvag ~ bloc + umid + K
+f2.nv <- nvag ~ bloc + umid * K
+
+## Ajustando os modelos Poisson
+m1P.nv <- glm(f1.nv, data = soja, family = poisson)
+m2P.nv <- glm(f2.nv, data = soja, family = poisson)
+
+## Ajustando os modelos COM-Poisson
+m1C.nv <- cmp(f1.nv, data = soja, sumto = 300)
+m2C.nv <- cmp(f2.nv, data = soja, sumto = 300)
+
+##-------------------------------------------
+## Para o número grão produzidos por parcela
+
+## Preditores considerados
+f1.ng <- ngra ~ bloc + umid + K
+f2.ng <- ngra ~ bloc + umid * K
+
+## Ajustando os modelos Poisson
+m1P.ng <- glm(f1.ng, data = soja, family = poisson)
+m2P.ng <- glm(f2.ng, data = soja, family = poisson)
+
+## Ajustando os modelos COM-Poisson
+m1C.ng <- cmp(f1.ng, data = soja, sumto = 700)
+m2C.ng <- cmp(f2.ng, data = soja, sumto = 700)
+
+##-------------------------------------------
+## Para o número de grãos produzidos por vagem
+
+## Preditores considerados
+f1.gpv <- ngra ~ offset(log(nvag)) + bloc + umid + K
+f2.gpv <- ngra ~ offset(log(nvag)) + bloc + umid * K
+
+## Ajustando os modelos Poisson
+m1P.gpv <- glm(f1.gpv, data = soja, family = poisson)
+m2P.gpv <- glm(f2.gpv, data = soja, family = poisson)
+
+## Ajustando os modelos COM-Poisson
+m1C.gpv <- cmp(f1.gpv, data = soja, sumto = 350)
+m2C.gpv <- cmp(f2.gpv, data = soja, sumto = 350)
+
+
+## ------------------------------------------------------------------------
+
+##-------------------------------------------
+## Verossimilhancas dos modelos ajustados
+cbind("Poisson" = sapply(
+ list("nvagem adtv" = m1P.nv, "nvagem mult" = m2P.nv,
+ "ngraos adtv" = m1P.ng, "ngraos mult" = m2P.ng,
+ "ngrapv adtv" = m1P.gpv, "ngrapv mult" = m2P.gpv),
+ logLik),
+ "COM-Poisson" = sapply(
+ list(m1C.nv, m2C.nv, m1C.ng, m2C.ng, m1C.gpv, m2C.gpv),
+ logLik))
+
+##-------------------------------------------
+## Teste de razão de verossimilhanças
+
+## Dos modelos para o número de vagens viáveis
+anova(m1P.nv, m2P.nv, test = "Chisq")
+anova(m1C.nv, m2C.nv)
+
+## Dos modelos para o número de grão por parcela
+anova(m1P.ng, m2P.ng, test = "Chisq")
+anova(m1C.ng, m2C.ng)
+
+## Dos modelos para o número de grão por vagem
+anova(m1P.gpv, m2P.gpv, test = "Chisq")
+anova(m1C.gpv, m2C.gpv)
+
+
+## ------------------------------------------------------------------------
+##-------------------------------------------
+## Estimativas dos parâmetros do modelo proposto para
+
+## o número de vagens viáveis
+summary(m2P.nv)
+summary(m2C.nv)
+
+## o número de grão por parcela
+summary(m2P.ng)
+summary(m2C.ng)
+
+## o número de grão por vagem
+summary(m1P.gpv)
+summary(m1C.gpv)
+
+
+## ------------------------------------------------------------------------
+
+## Um dos problemas computacionais do modelo COM-Poisson é a obtenção da
+## constante de normalização Z. Assim uma visualização pós ajuste para
+## verificar se o ajuste proporcionou uma densidade válida se faz
+## necessária
+
+par(mfrow = c(1, 3))
+
+## No modelo para o número de vagens viáveis
+convergencez(m2C.nv)
+
+## No modelo para o número de grão por parcela
+convergencez(m2C.ng)
+
+## No modelo para o número de grão por vagem
+convergencez(m1C.gpv)
+
+
+## ------------------------------------------------------------------------
+
+## Dado que o modelo COM-Poisson leva as mesmas estimativas pontuais que
+## o modelo Poisson a análise de diagnóstico padrão pode ser utilizada
+
+## Avaliação do modelo para o número de vagens viáveis
+par(mfrow = c(2, 2))
+plot(m2P.nv)
+
+## Avaliação do modelo para o número de grão por parcela
+par(mfrow = c(2, 2))
+plot(m2P.ng)
+
+## Avaliação do modelo para o número de grão por vagem
+par(mfrow = c(2, 2))
+plot(m1P.gpv)
+
+
+## ---- cache = TRUE-------------------------------------------------------
+
+## Testando a nulidade do parâmetro phi
+
+##-------------------------------------------
+## No modelo para o número de vagens viáveis
+
+## Usando o ajuste Poisson
+trv <- 2 * (logLik(m2C.nv) - logLik(m2P.nv))
+attributes(trv) <- NULL
+round(c(trv, pchisq(trv, 1, lower = FALSE)), digits = 5)
+
+## Reajustando o COM-Poisson para phi = 0 (ou equivalente nu = 1)
+m2Cfixed.nv <- cmp(f2.nv, data = soja, fixed = list("phi" = 0),
+ sumto = 300)
+anova(m2C.nv, m2Cfixed.nv)
##-------------------------------------------
+## No modelo para o número de grão por parcela
+
+## Usando o ajuste Poisson
+trv <- 2 * (logLik(m2C.ng) - logLik(m2P.ng))
+attributes(trv) <- NULL
+round(c(trv, pchisq(trv, 1, lower = FALSE)), digits = 5)
+
+## Reajustando o COM-Poisson para phi = 0 (ou equivalente nu = 1)
+m2Cfixed.ng <- cmp(f2.ng, data = soja, fixed = list("phi" = 0),
+ sumto = 700)
+anova(m2C.ng, m2Cfixed.ng)
+
+##-------------------------------------------
+## No modelo para o número de grão por vagem
+
+## Usando o ajuste Poisson
+trv <- 2 * (logLik(m1C.gpv) - logLik(m1P.gpv))
+attributes(trv) <- NULL
+round(c(trv, pchisq(trv, 1, lower = FALSE)), digits = 5)
+
+## Reajustando o COM-Poisson para phi = 0 (ou equivalente nu = 1)
+m1Cfixed.gpv <- cmp(f1.gpv, data = soja, fixed = list("phi" = 0),
+ sumto = 350)
+anova(m1C.gpv, m1Cfixed.gpv)
+
+##-------------------------------------------
+## Via perfis de log-verossimilhança
+perf.nv <- profile(m2C.nv, which = "phi")
+perf.ng <- profile(m2C.ng, which = "phi")
+perf.gpv <- profile(m1C.gpv, which = "phi")
+
+par(mfrow = c(1, 3))
+plot(perf.nv)
+plot(perf.ng)
+plot(perf.gpv)
+
+confint(perf.nv)
+confint(perf.ng)
+confint(perf.gpv)
+
+
+## ------------------------------------------------------------------------
+
+## Verificando a matriz de variâncias e covariâncias
+
+##-------------------------------------------
+## No modelo para o número de vagens viáveis
+Vcov.nv <- vcov(m2C.nv)
+Corr <- cov2cor(Vcov.nv)
+
+corrplot.mixed(Corr, lower = "number", upper = "ellipse",
+ diag = "l", tl.pos = "lt", tl.col = "black",
+ tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])
+
+##-------------------------------------------
+## No modelo para o número de grão por parcela
+Vcov.ng <- vcov(m2C.ng)
+Corr <- cov2cor(Vcov.ng)
+
+corrplot.mixed(Corr, lower = "number", upper = "ellipse",
+ diag = "l", tl.pos = "lt", tl.col = "black",
+ tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])
+
+## No modelo para o número de grão por vagem
+Vcov.gpv <- vcov(m1C.gpv)
+Corr <- cov2cor(Vcov.gpv)
+
+corrplot.mixed(Corr, lower = "number", upper = "ellipse",
+ diag = "l", tl.pos = "lt", tl.col = "black",
+ tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])
+
+
+## ---- fig.height = 18----------------------------------------------------
+
+## Predição pontual/intervalar
+pred <- with(soja,
+ expand.grid(
+ bloc = factor(levels(bloc)[1], levels = levels(bloc)),
+ umid = levels(umid),
+ K = levels(K)
+ ## nvag = 1
+ ))
+qn <- qnorm(0.975) * c(fit = 0, lwr = -1, upr = 1)
+
+## Definindos as matrizes de delineamento
+
+## Do modelo com interação
+f2.ng; f2.ng[-2]
+X2 <- model.matrix(f2.ng[-2], data = pred)
+
+## Como não temos interesse na interpretação dos efeitos de blocos
+## tomaremos a média desses efeitos para predição
+bl2 <- attr(X2, "assign") == 1
+X2[, bl2] <- X2[, bl2] * 0 + 1/(sum(bl2) + 1)
+head(X2)
+
+## Do modelo aditivo, apenas retiramos os termos referentes ao efeito de
+## interação
+X1 <- X2[, attr(X2, "assign") != 4]
+head(X1)
+
+library(multcomp)
+
+##-------------------------------------------
+## Considerando a Poisson
+
+## No modelo para o número de vagens
+aux <- exp(confint(glht(m2P.nv, linfct = X2),
+ calpha = univariate_calpha())$confint)
+colnames(aux) <- c("fit", "lwr", "upr")
+aux <- data.frame(modelo = "Poisson", aux)
+predP.nv <- cbind(pred, aux)
+
+## No modelo para o número de grãos por parcela
+aux <- exp(confint(glht(m2P.ng, linfct = X2),
+ calpha = univariate_calpha())$confint)
+colnames(aux) <- c("fit", "lwr", "upr")
+aux <- data.frame(modelo = "Poisson", aux)
+predP.ng <- cbind(pred, aux)
+
+## No modelo para o número de grãos por vagem
+aux <- exp(confint(glht(m1P.gpv, linfct = X1),
+ calpha = univariate_calpha())$confint)
+colnames(aux) <- c("fit", "lwr", "upr")
+aux <- data.frame(modelo = "Poisson", aux)
+predP.gpv <- cbind(pred, aux)
+
+##----------------------------------------------------------------------
## Considerando a COM-Poisson
+##-------------------------------------------
+## No modelo para o número de vagens
+## Obtendo os parâmetros da distribuição (lambdas e phi)
+betas <- coef(m2C.nv)[-1]
+phi <- coef(m2C.nv)[1]
+loglambdas <- X2 %*% betas
+
## Obtendo os erros padrão das estimativas
## Obs.: Deve-se usar a matriz de variâncias e covariâncias
## condicional, pois os parâmetros de locação (betas) e dispersão
## (phi) não são ortogonais.
-Vc <- Vcov[-1, -1] - Vcov[-1, 1] %*% solve(Vcov[1, 1]) %*% Vcov[1, -1]
+Vc <- Vcov.nv[-1, -1] - Vcov.nv[-1, 1] %*%
+ solve(Vcov.nv[1, 1]) %*% Vcov.nv[1, -1]
U <- chol(Vc)
-se <- sqrt(apply(X %*% t(U), MARGIN = 1, FUN = function(x) {
+se <- sqrt(apply(X2 %*% t(U), MARGIN = 1, FUN = function(x) {
sum(x^2)
}))
@@ -250,139 +649,287 @@ aux <- c(loglambdas) + outer(se, qn, FUN = "*")
aux <- apply(aux, MARGIN = 2,
FUN = function(col) {
sapply(col, FUN = function(p) {
- y <- 0:50; py <- dcmp(y, p, phi, sumto = 100)
+ y <- 0:200; py <- dcmp(y, p, phi, sumto = 300)
sum(y*py)
})
})
-predC <- cbind(predC, aux)
+aux <- data.frame(modelo = "COM-Poisson", aux)
+predC.nv <- cbind(pred, aux)
##-------------------------------------------
-## Visualizando os valores preditos intervalares pelos dois modelos
-da <- rbind(predP, predC)
+## No modelo para o número de grãos por parcela
+## Obtendo os parâmetros da distribuição (lambdas e phi)
+betas <- coef(m2C.ng)[-1]
+phi <- coef(m2C.ng)[1]
+loglambdas <- X2 %*% betas
-update(xy, type = c("p", "g")) +
- as.layer(xyplot(fit ~ des | est,
- groups = modelo,
- data = da,
- type = "l",
- ly = da$lwr,
- uy = da$upr,
- cty = "bands",
- alpha = 0.3,
- prepanel = prepanel.cbH,
- panel.groups = panel.cbH,
- panel = panel.superpose))
+## Obtendo os erros padrão das estimativas
+## Obs.: Deve-se usar a matriz de variâncias e covariâncias
+## condicional, pois os parâmetros de locação (betas) e dispersão
+## (phi) não são ortogonais.
+Vc <- Vcov.ng[-1, -1] - Vcov.ng[-1, 1] %*%
+ solve(Vcov.ng[1, 1]) %*% Vcov.ng[1, -1]
+U <- chol(Vc)
+se <- sqrt(apply(X2 %*% t(U), MARGIN = 1, FUN = function(x) {
+ sum(x^2)
+}))
+aux <- c(loglambdas) + outer(se, qn, FUN = "*")
+aux <- apply(aux, MARGIN = 2,
+ FUN = function(col) {
+ sapply(col, FUN = function(p) {
+ y <- 0:350; py <- dcmp(y, p, phi, sumto = 700)
+ sum(y*py)
+ })
+ })
+aux <- data.frame(modelo = "COM-Poisson", aux)
+predC.ng <- cbind(pred, aux)
-## -----------------------------------------------------------------
+##-------------------------------------------
+## No modelo para o número de grãos por vagem
+## Obtendo os parâmetros da distribuição (lambdas e phi)
+betas <- coef(m1C.gpv)[-1]
+phi <- coef(m1C.gpv)[1]
+loglambdas <- X1 %*% betas
-data(capmosca)
-str(capmosca)
-## help(capmosca)
+## Obtendo os erros padrão das estimativas
+## Obs.: Deve-se usar a matriz de variâncias e covariâncias
+## condicional, pois os parâmetros de locação (betas) e dispersão
+## (phi) não são ortogonais.
+Vc <- Vcov.gpv[-1, -1] - Vcov.gpv[-1, 1] %*%
+ solve(Vcov.gpv[1, 1]) %*% Vcov.gpv[1, -1]
+U <- chol(Vc)
+se <- sqrt(apply(X1 %*% t(U), MARGIN = 1, FUN = function(x) {
+ sum(x^2)
+}))
+aux <- c(loglambdas) + outer(se, qn, FUN = "*")
+aux <- apply(aux, MARGIN = 2,
+ FUN = function(col) {
+ sapply(col, FUN = function(p) {
+ y <- 0:30; py <- dcmp(y, p, phi, sumto = 50)
+ sum(y*py)
+ })
+ })
+aux <- data.frame(modelo = "COM-Poisson", aux)
+predC.gpv <- cbind(pred, aux)
-## -----------------------------------------------------------------
+##-------------------------------------------
+## Visualizando os valores preditos intervalares pelos dois modelos
+da.nv <- rbind(predP.nv, predC.nv)
+da.nv <- da.nv[with(da.nv, order(umid, K, modelo)), ]
-capmosca <- aggregate(ncap ~ vaso + dexp, data = capmosca, FUN = sum)
-str(capmosca)
+da.ng <- rbind(predP.ng, predC.ng)
+da.ng <- da.ng[with(da.ng, order(umid, K, modelo)), ]
+da.gpv <- rbind(predP.gpv, predC.gpv)
+da.gpv <- da.gpv[with(da.gpv, order(umid, K, modelo)), ]
-## -----------------------------------------------------------------
+source(paste0("https://gitlab.c3sl.ufpr.br/leg/legTools/raw/",
+ "issue%2315/R/panel.segplot.by.R"))
+
+key <- list(type = "o", divide = 1,
+ lines = list(pch = 1:nlevels(da.nv$modelo) + 3, lty = 1),
+ text = list(c("Poisson", "COM-Poisson")))
+
+xy1 <- xyplot(nvag ~ K | umid, data = soja,
+ xlab = "Nível de adubação potássica",
+ ylab = "Contagem",
+ type = c("p", "g"), alpha = 0.7,
+ key = key,
+ layout = c(NA, 1),
+ as.table = TRUE,
+ strip = strip.custom(
+ strip.names = TRUE, var.name = "Umidade")) +
+ as.layer(
+ segplot(
+ K ~ lwr + upr | umid,
+ centers = fit, groups = modelo, data = da.nv,
+ grid = TRUE, horizontal = FALSE, draw = FALSE,
+ lwd = 2, pch = 1:nlevels(da$modelo) + 3,
+ panel = panel.segplot.by, f = 0.1, as.table = TRUE)
+ )
+
+xy2 <- xyplot(ngra ~ K | umid, data = soja,
+ xlab = "Nível de adubação potássica",
+ ylab = "Contagem",
+ type = c("p", "g"), alpha = 0.7,
+ ## key = key,
+ layout = c(NA, 1),
+ as.table = TRUE,
+ strip = strip.custom(
+ strip.names = TRUE, var.name = "Umidade")) +
+ as.layer(
+ segplot(
+ K ~ lwr + upr | umid,
+ centers = fit, groups = modelo, data = da.ng,
+ grid = TRUE, horizontal = FALSE, draw = FALSE,
+ lwd = 2, pch = 1:nlevels(da$modelo) + 3,
+ panel = panel.segplot.by, f = 0.1, as.table = TRUE)
+ )
+
+xy3 <- xyplot(ngra/nvag ~ K | umid, data = soja,
+ xlab = "Nível de adubação potássica",
+ ylab = "Contagem",
+ type = c("p", "g"), alpha = 0.7,
+ ## key = key,
+ layout = c(NA, 1),
+ as.table = TRUE,
+ strip = strip.custom(
+ strip.names = TRUE, var.name = "Umidade")) +
+ as.layer(
+ segplot(
+ K ~ lwr + upr | umid,
+ centers = fit, groups = modelo, data = da.gpv,
+ grid = TRUE, horizontal = FALSE, draw = FALSE,
+ lwd = 2, pch = 1:nlevels(da$modelo) + 3,
+ panel = panel.segplot.by, f = 0.1, as.table = TRUE)
+ )
+
+## x11(width = 10, height = 50)
+print(xy1, split = c(1, 1, 1, 3), more = TRUE)
+print(xy2, split = c(1, 2, 1, 3), more = TRUE)
+print(xy3, split = c(1, 3, 1, 3), more = FALSE)
+
+
+## ---- eval = FALSE-------------------------------------------------------
+##
+## ## Testando o termo offset
+##
+## ##======================================================================
+## ## offset 2 e lambda = 5
+## trat <- rep(letters[1:3], 30)
+## X <- model.matrix(~trat)
+## betas <- c(-0.5, -2, 1.5)
+## lambdas <- exp(X %*% betas)
+## y <- rpois(nrow(X), lambda = lambdas * 2)
+##
+## kk <- data.frame(trat = trat, o = 2, y = y)
+## kkm <- cmp(y ~ offset(log(o)) + trat, data = kk, sumto = 50)
+## kkg <- glm(y ~ offset(log(o)) + trat, data = kk, family = poisson)
+##
+## cbind(coef(kkm), c(NA, coef(kkg)))
+##
+## ##======================================================================
+##
+
+## ------------------------------------------------------------------------
+
+data(capdesfo)
+str(capdesfo)
+## help(capdesfo)
+
+
+## ------------------------------------------------------------------------
## Experimento balanceado
-xtabs(~dexp, data = capmosca)
+xtabs(~est + des, data = capdesfo)
-(xy <- xyplot(ncap ~ dexp,
- data = capmosca,
- xlab = "Dias de infestação",
- ylab = "Número de capulhos produzidos",
- type = c("p", "g", "smooth"),
- panel = panel.beeswarm,
- r = 0.05))
+(xy <- xyplot(ncap ~ des | est,
+ data = capdesfo,
+ xlab = "Nível de desfolha artificial",
+ ylab = "Número de capulhos produzidos",
+ type = c("p", "g", "smooth"),
+ panel = panel.beeswarm,
+ r = 0.05))
## Avaliando preliminarmente suposição de equidispersão
-(mv <- aggregate(ncap ~ dexp, data = capmosca,
+(mv <- aggregate(ncap ~ est + des, data = capdesfo,
FUN = function(x) c(mean = mean(x), var = var(x))))
+xlim <- ylim <- extendrange(c(mv$ncap), f = 0.05)
+xyplot(ncap[, "var"] ~ ncap[, "mean"],
+ data = mv,
+ xlim = xlim, ylim = ylim,
+ ylab = "Variância Amostral",
+ xlab = "Média Amostral",
+ panel = function(x, y) {
+ panel.xyplot(x, y, type = c("p", "r"), grid = TRUE)
+ panel.abline(a = 0, b = 1, lty = 2)
+ })
+
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
## Preditores considerados
f1 <- ncap ~ 1
-f2 <- ncap ~ dexp
-f3 <- ncap ~ dexp + I(dexp^2)
+f2 <- ncap ~ des + I(des^2)
+f3 <- ncap ~ est:des + I(des^2)
+f4 <- ncap ~ est:(des + I(des^2))
## Ajustando os modelos Poisson
-m1P <- glm(f1, data = capmosca, family = poisson)
-m2P <- glm(f2, data = capmosca, family = poisson)
-m3P <- glm(f3, data = capmosca, family = poisson)
+m1P <- glm(f1, data = capdesfo, family = poisson)
+m2P <- glm(f2, data = capdesfo, family = poisson)
+m3P <- glm(f3, data = capdesfo, family = poisson)
+m4P <- glm(f4, data = capdesfo, family = poisson)
## Ajustando os modelos COM-Poisson
-m1C <- cmp(f1, data = capmosca)
-m2C <- cmp(f2, data = capmosca)
-m3C <- cmp(f3, data = capmosca)
+m1C <- cmp(f1, data = capdesfo)
+m2C <- cmp(f2, data = capdesfo)
+m3C <- cmp(f3, data = capdesfo)
+m4C <- cmp(f4, data = capdesfo)
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
## Verossimilhancas dos modelos ajustados
-cbind("Poisson" = sapply(list(m1P, m2P, m3P), logLik),
- "COM-Poisson" = sapply(list(m1C, m2C, m3C), logLik))
+cbind("Poisson" = sapply(list(m1P, m2P, m3P, m4P), logLik),
+ "COM-Poisson" = sapply(list(m1C, m2C, m3C, m4C), logLik))
## Teste de razão de verossimilhanças
-anova(m1P, m2P, m3P, test = "Chisq")
-anova(m1C, m2C, m3C)
+anova(m1P, m2P, m3P, m4P, test = "Chisq")
+anova(m1C, m2C, m3C, m4C)
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
## Estimativas dos parâmetros
-summary(m3P)
-summary(m3C)
+summary(m4P)
+summary(m4C)
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
## Um dos problemas computacionais do modelo COM-Poisson é a obtenção da
## constante de normalização Z. Assim uma visualização pós ajuste para
## verificar se o ajuste proporcionou uma densidade válida se faz
## necessária
-convergencez(m3C)
+convergencez(m4C)
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
## Dado que o modelo COM-Poisson leva as mesmas estimativas pontuais que
## o modelo Poisson a análise de diagnóstico padrão pode ser utilizada
par(mfrow = c(2, 2))
-plot(m3P)
+plot(m4P)
-## ---- cache = TRUE------------------------------------------------
+## ---- cache = TRUE-------------------------------------------------------
##-------------------------------------------
## Testando a nulidade do parâmetro phi
## Usando o ajuste Poisson
-trv <- 2 * (logLik(m3C) - logLik(m3P))
+trv <- 2 * (logLik(m4C) - logLik(m4P))
attributes(trv) <- NULL
round(c(trv, pchisq(trv, 1, lower = FALSE)), digits = 5)
## Reajustando o COM-Poisson para phi = 0 (ou equivalente nu = 1)
-m3Cfixed <- cmp(f3, data = capmosca, fixed = list("phi" = 0))
-anova(m3C, m3Cfixed)
+m4Cfixed <- cmp(f4, data = capdesfo, fixed = list("phi" = 0))
+anova(m4C, m4Cfixed)
## Via perfil de log-verossimilhança
-perf <- profile(m3C, which = 1)
+perf <- profile(m4C, which = 1)
confint(perf)
plot(perf)
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
##-------------------------------------------
## Verificando a matriz ve variâncias e covariâncias
-Vcov <- vcov(m3C)
+Vcov <- vcov(m4C)
Corr <- cov2cor(Vcov)
library(corrplot)
@@ -391,30 +938,31 @@ corrplot.mixed(Corr, lower = "number", upper = "ellipse",
tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
## Predição pontual/intervalar
-pred <- with(capmosca,
+pred <- with(capdesfo,
expand.grid(
- dexp = seq(min(dexp), max(dexp), l = 50)
+ est = levels(est),
+ des = seq(min(des), max(des), l = 20)
))
qn <- qnorm(0.975) * c(fit = 0, lwr = -1, upr = 1)
##-------------------------------------------
## Considerando a Poisson
-aux <- predict(m3P, newdata = pred, se.fit = TRUE)
+aux <- predict(m4P, newdata = pred, se.fit = TRUE)
aux <- with(aux, exp(fit + outer(se.fit, qn, FUN = "*")))
aux <- data.frame(modelo = "Poisson", aux)
predP <- cbind(pred, aux)
##-------------------------------------------
## Considerando a COM-Poisson
-f3; f3[[2]] <- NULL; f3
-X <- model.matrix(f3, data = pred)
+f4; f4[-2]
+X <- model.matrix(f4[-2], data = pred)
## Obtendo os parâmetros da distribuição (lambdas e phi)
-betas <- coef(m3C)[-1]
-phi <- coef(m3C)[1]
+betas <- coef(m4C)[-1]
+phi <- coef(m4C)[1]
loglambdas <- X %*% betas
## Obtendo os erros padrão das estimativas
@@ -431,7 +979,7 @@ aux <- c(loglambdas) + outer(se, qn, FUN = "*")
aux <- apply(aux, MARGIN = 2,
FUN = function(col) {
sapply(col, FUN = function(p) {
- y <- 0:30; py <- dcmp(y, p, phi, sumto = 50)
+ y <- 0:50; py <- dcmp(y, p, phi, sumto = 100)
sum(y*py)
})
})
@@ -442,28 +990,29 @@ predC <- cbind(pred, aux)
## Visualizando os valores preditos intervalares pelos dois modelos
da <- rbind(predP, predC)
-update(xy, type = c("p", "g")) +
- as.layer(xyplot(fit ~ dexp,
+## Gráfico dos valores preditos e IC de 95% para média
+update(xy, type = c("p", "g"), key = key, alpha = 0.7) +
+ as.layer(xyplot(fit ~ des | est,
groups = modelo,
data = da,
type = "l",
ly = da$lwr,
uy = da$upr,
cty = "bands",
- alpha = 0.3,
+ alpha = 0.5,
prepanel = prepanel.cbH,
panel.groups = panel.cbH,
panel = panel.superpose))
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
data(ninfas)
str(ninfas)
## help(ninfas)
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
## Somente as cultivares que contém BRS na identificação
ninfas <- droplevels(subset(ninfas, grepl("BRS", x = cult)))
@@ -474,7 +1023,7 @@ ninfas$aval <- factor(ninfas$dias)
str(ninfas)
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
## Experimento balanceado
xtabs(~aval + cult, data = ninfas)
@@ -491,8 +1040,7 @@ xtabs(~aval + cult, data = ninfas)
xlim <- ylim <- extendrange(c(mv$ntot), f = 0.05)
xyplot(ntot[, "var"] ~ ntot[, "mean"],
data = mv,
- xlim = xlim,
- ylim = ylim,
+ ## xlim = xlim, ylim = ylim,
ylab = "Variância Amostral",
xlab = "Média Amostral",
panel = function(x, y) {
@@ -501,7 +1049,7 @@ xyplot(ntot[, "var"] ~ ntot[, "mean"],
})
-## ---- cache = TRUE------------------------------------------------
+## ---- cache = TRUE-------------------------------------------------------
## Preditores considerados
f1 <- ntot ~ bloco + cult + aval
@@ -516,7 +1064,7 @@ m1C <- cmp(f1, data = ninfas, sumto = 600)
m2C <- cmp(f2, data = ninfas, sumto = 600)
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
## Verossimilhancas dos modelos ajustados
cbind("Poisson" = sapply(list(m1P, m2P), logLik),
@@ -527,14 +1075,14 @@ anova(m1P, m2P, test = "Chisq")
anova(m1C, m2C)
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
## Estimativas dos parâmetros
summary(m1P)
summary(m1C)
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
## Um dos problemas computacionais do modelo COM-Poisson é a obtenção da
## constante de normalização Z. Assim uma visualização pós ajuste para
@@ -543,7 +1091,7 @@ summary(m1C)
convergencez(m1C, incremento = 100, maxit = 10)
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
## Dado que o modelo COM-Poisson leva as mesmas estimativas pontuais que
## o modelo Poisson a análise de diagnóstico padrão pode ser utilizada
@@ -551,7 +1099,7 @@ par(mfrow = c(2, 2))
plot(m1P)
-## ---- cache = TRUE------------------------------------------------
+## ---- cache = TRUE-------------------------------------------------------
##-------------------------------------------
## Testando a nulidade do parâmetro phi
@@ -571,7 +1119,7 @@ confint(perf)
plot(perf)
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
##-------------------------------------------
## Verificando a matriz ve variâncias e covariâncias
@@ -584,7 +1132,7 @@ corrplot.mixed(Corr, lower = "number", upper = "ellipse",
tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])
-## -----------------------------------------------------------------
+## ------------------------------------------------------------------------
## Predição pontual/intervalar
pred <- with(ninfas,
@@ -596,8 +1144,8 @@ pred <- with(ninfas,
))
qn <- qnorm(0.975) * c(fit = 0, lwr = -1, upr = 1)
-f1; f1[[2]] <- NULL; f1
-X <- model.matrix(f1, data = pred)
+f1; f1[-2]
+X <- model.matrix(f1[-2], data = pred)
## Como não temos interesse na interpretação dos efeitos de blocos
## tomaremos a média desses efeitos para predição
@@ -653,12 +1201,16 @@ da <- da[order(da$cult, da$aval, da$modelo), ]
source(paste0("https://gitlab.c3sl.ufpr.br/leg/legTools/raw/",
"issue%2315/R/panel.segplot.by.R"))
-update(xy, type = c("p", "g"), alpha = 0.5) +
+key <- list(type = "o", divide = 1,
+ lines = list(pch = 1:nlevels(da$modelo) + 3, lty = 1),
+ text = list(c("Poisson", "COM-Poisson")))
+
+update(xy, type = c("p", "g"), key = key, alpha = 0.7) +
as.layer(segplot(
- aval ~ lwr + upr | cult, centers = fit,
- data = da,
- horizontal = FALSE, draw = FALSE, lwd = 2, grid = TRUE,
- panel = panel.segplot.by, groups = modelo, f = 0.1,
- pch = 1:nlevels(pred$modelo)+2, as.table = TRUE))
+ aval ~ lwr + upr | cult,
+ centers = fit, groups = modelo, data = da,
+ grid = TRUE, horizontal = FALSE, draw = FALSE,
+ lwd = 2, pch = 1:nlevels(da$modelo) + 3,
+ panel = panel.segplot.by, f = 0.1))
diff --git a/inst/doc/v05_compoisson.html b/inst/doc/v05_compoisson.html
index 2650882ec05ce7ed3188f491bd3a73b8195b8ea5..549848a193a760c71cd899a55aeab8f2c4b5de9c 100644
--- a/inst/doc/v05_compoisson.html
+++ b/inst/doc/v05_compoisson.html
@@ -109,27 +109,34 @@ table.header {
<li><a href="#log-verossimilhanca">Log-verossimilhança</a></li>
<li><a href="#ajuste-geral">Ajuste geral</a></li>
</ul></li>
-<li><a href="#capulhos-de-algodao-sob-efeito-de-desfolha">Capulhos de algodão sob efeito de desfolha</a><ul>
+<li><a href="#capulhos-de-algodao-sob-exposicao-a-mosca-branca">Capulhos de algodão sob exposição à mosca-branca</a><ul>
<li><a href="#analise-exploratoria">Análise Exploratória</a></li>
<li><a href="#ajuste-dos-modelos">Ajuste dos modelos</a></li>
<li><a href="#comparacao-dos-ajustes">Comparação dos ajustes</a></li>
<li><a href="#avaliando-modelo-proposto">Avaliando modelo proposto</a></li>
<li><a href="#predicao">Predição</a></li>
</ul></li>
-<li><a href="#capulhos-de-algodao-sob-exposicao-a-mosca-branca">Capulhos de algodão sob exposição à mosca-branca</a><ul>
+<li><a href="#producao-de-soja-sob-efeito-de-umidade-e-adubacao-potassica">Produção de soja sob efeito de umidade e adubação potássica</a><ul>
<li><a href="#analise-exploratoria-1">Análise Exploratória</a></li>
<li><a href="#ajuste-dos-modelos-1">Ajuste dos modelos</a></li>
<li><a href="#comparacao-dos-ajustes-1">Comparação dos ajustes</a></li>
<li><a href="#avaliando-modelo-proposto-1">Avaliando modelo proposto</a></li>
<li><a href="#predicao-1">Predição</a></li>
</ul></li>
-<li><a href="#ocorrencia-de-ninfas-de-mosca-branca-em-variedades-de-soja">Ocorrência de ninfas de mosca-branca em variedades de soja</a><ul>
+<li><a href="#capulhos-de-algodao-sob-efeito-de-desfolha">Capulhos de algodão sob efeito de desfolha</a><ul>
<li><a href="#analise-exploratoria-2">Análise Exploratória</a></li>
<li><a href="#ajuste-dos-modelos-2">Ajuste dos modelos</a></li>
<li><a href="#comparacao-dos-ajustes-2">Comparação dos ajustes</a></li>
<li><a href="#avaliando-modelo-proposto-2">Avaliando modelo proposto</a></li>
<li><a href="#predicao-2">Predição</a></li>
</ul></li>
+<li><a href="#ocorrencia-de-ninfas-de-mosca-branca-em-variedades-de-soja">Ocorrência de ninfas de mosca-branca em variedades de soja</a><ul>
+<li><a href="#analise-exploratoria-3">Análise Exploratória</a></li>
+<li><a href="#ajuste-dos-modelos-3">Ajuste dos modelos</a></li>
+<li><a href="#comparacao-dos-ajustes-3">Comparação dos ajustes</a></li>
+<li><a href="#avaliando-modelo-proposto-3">Avaliando modelo proposto</a></li>
+<li><a href="#predicao-3">Predição</a></li>
+</ul></li>
</ul>
</div>
@@ -160,7 +167,11 @@ table.header {
## ll <- sum(y * Xb - nu * lfactorial(y)) - Z
## return(-ll)
## }
-## <environment: namespace:MRDCr></code></pre>
+## <environment: namespace:MRDCr>
+## attr(,"parnames")
+## [1] "phi" "(Intercept)" "blocII" "blocIII"
+## [5] "blocIV" "blocV" "umid50" "umid62,5"
+## [9] "K30" "K60" "K120" "K180"</code></pre>
<p><strong>Detalhes computacionais</strong></p>
<ul>
<li><p>Reparametrização do parâmetro <span class="math inline">\(\nu\)</span> para <span class="math inline">\(\phi = \exp(\nu)\)</span>. Assim o espaçõ paramétrico do modelo são os reais <span class="math inline">\(\Re^n\)</span>.</p></li>
@@ -239,9 +250,8 @@ m0 <- glm.fit(x = X, y = y, offset = o, family = poisson())
start <- c(phi = 0, m0$coefficients)
## Otimiza a função de log-verossimilhança via bbmle
-library(bbmle)</code></pre>
-<pre><code>## Loading required package: stats4</code></pre>
-<pre class="r"><code>parnames(llcmp) <- names(start)
+library(bbmle)
+parnames(llcmp) <- names(start)
mle2(llcmp, start = start,
data = list(y = y, X = X, offset = o, sumto = 50),
vecpar = TRUE)</code></pre>
@@ -255,186 +265,141 @@ mle2(llcmp, start = start,
## 0.3338908 -4.5188932 5.4556688 -1.1173870
##
## Log-likelihood: -11.13</code></pre>
+<!--==================================================================== -->
+<!---->
</div>
</div>
-<div id="capulhos-de-algodao-sob-efeito-de-desfolha" class="section level1">
-<h1>Capulhos de algodão sob efeito de desfolha</h1>
-<pre class="r"><code>data(capdesfo)
-str(capdesfo)</code></pre>
-<pre><code>## 'data.frame': 125 obs. of 4 variables:
-## $ est : Factor w/ 5 levels "vegetativo","botão floral",..: 1 1 1 1 1 1 1 1 1 1 ...
-## $ des : num 0 0 0 0 0 0.25 0.25 0.25 0.25 0.25 ...
-## $ rept: int 1 2 3 4 5 1 2 3 4 5 ...
-## $ ncap: int 10 9 8 8 10 11 9 10 10 10 ...</code></pre>
-<pre class="r"><code>## help(capdesfo)</code></pre>
-<p>Experimento conduzido sob delineamento inteiramente casualizado em casa de vegetação onde avaliou-se o número de capulhos produzidos por plantas de algodão submetidas à níveis de desfolha artificial de remoção foliar em combinação com o estágio fenológico no qual a desfolha foi aplicada.</p>
+<div id="capulhos-de-algodao-sob-exposicao-a-mosca-branca" class="section level1">
+<h1>Capulhos de algodão sob exposição à mosca-branca</h1>
+<pre class="r"><code>data(capmosca)
+str(capmosca)</code></pre>
+<pre><code>## 'data.frame': 60 obs. of 8 variables:
+## $ dexp : int 0 0 0 0 0 0 0 0 0 0 ...
+## $ vaso : Factor w/ 5 levels "1","2","3","4",..: 1 1 2 2 3 3 4 4 5 5 ...
+## $ planta : Factor w/ 2 levels "1","2": 1 2 1 2 1 2 1 2 1 2 ...
+## $ alt : num 70.5 67.5 72 70 64 64.5 67.5 61 70 70 ...
+## $ pesocap: num 25.2 NA 28.5 NA 31.8 ...
+## $ nerep : int 4 4 3 5 5 5 5 5 4 5 ...
+## $ ncap : int 4 4 2 5 5 5 5 5 4 5 ...
+## $ nnos : int 13 14 14 15 15 11 14 11 14 15 ...</code></pre>
+<pre class="r"><code>## help(capmosca)</code></pre>
+<p>Experimento conduzido sob delineamento inteiramente casualizado na Universidade Federal da Grande Dourados, cujo objetivo foi avaliar os impactos da exposição de plantas de algodão à alta infestação da praga mosca-branca. No experimento avaliou-se duas plantas por vaso, nesta análise tomaremos como unidade amostral o vaso e o interesse será somente na variável número de capulhos produzidos.</p>
+<pre class="r"><code>capmosca <- aggregate(ncap ~ vaso + dexp, data = capmosca, FUN = sum)
+str(capmosca)</code></pre>
+<pre><code>## 'data.frame': 30 obs. of 3 variables:
+## $ vaso: Factor w/ 5 levels "1","2","3","4",..: 1 2 3 4 5 1 2 3 4 5 ...
+## $ dexp: int 0 0 0 0 0 1 1 1 1 1 ...
+## $ ncap: int 8 7 10 10 9 5 7 8 8 11 ...</code></pre>
+<p>Assim as variáveis consideradas são definidas como:</p>
<ul>
-<li><code>est</code>: Estágio fenológico com cinco níveis (vegetativo, botão floral, florecimento, maça, capulho);</li>
-<li><code>des</code>: Nível de desfolha artificial de remoção foliar (0, 25, 50, 75, 100%);</li>
-<li><code>ncap</code>: Número de capulhos de algodão produzidos ao final da ciclo cultura.</li>
+<li><code>dexp</code>: Dias de exposição à alta infestação de mosca-branca;</li>
+<li><code>ncap</code>: Número de capulhos de algodão produzidos ao final do experimento.</li>
</ul>
<div id="analise-exploratoria" class="section level2">
<h2>Análise Exploratória</h2>
<pre class="r"><code>## Experimento balanceado
-xtabs(~est + des, data = capdesfo)</code></pre>
-<pre><code>## des
-## est 0 0.25 0.5 0.75 1
-## vegetativo 5 5 5 5 5
-## botão floral 5 5 5 5 5
-## florecimento 5 5 5 5 5
-## maça 5 5 5 5 5
-## capulho 5 5 5 5 5</code></pre>
+xtabs(~dexp, data = capmosca)</code></pre>
+<pre><code>## dexp
+## 0 1 2 3 4 5
+## 5 5 5 5 5 5</code></pre>
<pre class="r"><code>library(lattice)
library(latticeExtra)
-(xy <- xyplot(ncap ~ des | est,
- data = capdesfo,
- xlab = "Nível de desfolha artificial",
- ylab = "Número de capulhos produzidos",
- type = c("p", "g", "smooth"),
- panel = panel.beeswarm,
- r = 0.05))</code></pre>
-<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+(xy <- xyplot(ncap ~ dexp,
+ data = capmosca,
+ xlab = "Dias de infestação",
+ ylab = "Número de capulhos produzidos",
+ type = c("p", "g", "smooth"),
+ panel = panel.beeswarm,
+ r = 0.05))</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
<pre class="r"><code>## Avaliando preliminarmente suposição de equidispersão
-(mv <- aggregate(ncap ~ est + des, data = capdesfo,
+(mv <- aggregate(ncap ~ dexp, data = capmosca,
FUN = function(x) c(mean = mean(x), var = var(x))))</code></pre>
-<pre><code>## est des ncap.mean ncap.var
-## 1 vegetativo 0.00 9.0 1.0
-## 2 botão floral 0.00 8.4 1.3
-## 3 florecimento 0.00 9.4 2.8
-## 4 maça 0.00 8.6 1.8
-## 5 capulho 0.00 10.0 4.0
-## 6 vegetativo 0.25 10.0 0.5
-## 7 botão floral 0.25 9.4 3.3
-## 8 florecimento 0.25 5.8 1.2
-## 9 maça 0.25 7.0 2.0
-## 10 capulho 0.25 10.0 3.5
-## 11 vegetativo 0.50 8.6 0.8
-## 12 botão floral 0.50 8.8 0.7
-## 13 florecimento 0.50 5.8 1.7
-## 14 maça 0.50 8.8 2.2
-## 15 capulho 0.50 8.2 1.2
-## 16 vegetativo 0.75 8.0 1.0
-## 17 botão floral 0.75 8.8 2.7
-## 18 florecimento 0.75 6.0 2.5
-## 19 maça 0.75 6.2 0.2
-## 20 capulho 0.75 8.8 1.2
-## 21 vegetativo 1.00 6.2 1.2
-## 22 botão floral 1.00 7.2 0.2
-## 23 florecimento 1.00 4.6 0.3
-## 24 maça 1.00 3.0 0.5
-## 25 capulho 1.00 9.0 1.0</code></pre>
-<pre class="r"><code>xlim <- ylim <- extendrange(c(mv$ncap), f = 0.05)
-xyplot(ncap[, "var"] ~ ncap[, "mean"],
- data = mv,
- xlim = xlim,
- ylim = ylim,
- ylab = "Variância Amostral",
- xlab = "Média Amostral",
- panel = function(x, y) {
- panel.xyplot(x, y, type = c("p", "r"), grid = TRUE)
- panel.abline(a = 0, b = 1, lty = 2)
- })</code></pre>
-<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<pre><code>## dexp ncap.mean ncap.var
+## 1 0 8.8 1.7
+## 2 1 7.8 4.7
+## 3 2 6.8 5.2
+## 4 3 6.8 1.7
+## 5 4 7.4 2.3
+## 6 5 7.6 2.3</code></pre>
</div>
<div id="ajuste-dos-modelos" class="section level2">
<h2>Ajuste dos modelos</h2>
<pre class="r"><code>## Preditores considerados
f1 <- ncap ~ 1
-f2 <- ncap ~ des + I(des^2)
-f3 <- ncap ~ est:des + I(des^2)
-f4 <- ncap ~ est:(des + I(des^2))
+f2 <- ncap ~ dexp
+f3 <- ncap ~ dexp + I(dexp^2)
## Ajustando os modelos Poisson
-m1P <- glm(f1, data = capdesfo, family = poisson)
-m2P <- glm(f2, data = capdesfo, family = poisson)
-m3P <- glm(f3, data = capdesfo, family = poisson)
-m4P <- glm(f4, data = capdesfo, family = poisson)
+m1P <- glm(f1, data = capmosca, family = poisson)
+m2P <- glm(f2, data = capmosca, family = poisson)
+m3P <- glm(f3, data = capmosca, family = poisson)
## Ajustando os modelos COM-Poisson
-m1C <- cmp(f1, data = capdesfo)
-m2C <- cmp(f2, data = capdesfo)
-m3C <- cmp(f3, data = capdesfo)
-m4C <- cmp(f4, data = capdesfo)</code></pre>
+m1C <- cmp(f1, data = capmosca)
+m2C <- cmp(f2, data = capmosca)
+m3C <- cmp(f3, data = capmosca)</code></pre>
</div>
<div id="comparacao-dos-ajustes" class="section level2">
<h2>Comparação dos ajustes</h2>
-<pre class="r"><code>## Verossimilhancas dos modelos ajustados
-cbind("Poisson" = sapply(list(m1P, m2P, m3P, m4P), logLik),
- "COM-Poisson" = sapply(list(m1C, m2C, m3C, m4C), logLik))</code></pre>
+<pre class="r"><code>library(bbmle)
+
+## Verossimilhancas dos modelos ajustados
+cbind("Poisson" = sapply(list(m1P, m2P, m3P), logLik),
+ "COM-Poisson" = sapply(list(m1C, m2C, m3C), logLik))</code></pre>
<pre><code>## Poisson COM-Poisson
-## [1,] -279.9328 -272.4794
-## [2,] -271.3543 -256.0893
-## [3,] -258.6741 -220.1977
-## [4,] -255.8031 -208.2500</code></pre>
+## [1,] -63.76981 -58.77209
+## [2,] -63.52399 -58.13540
+## [3,] -62.93611 -56.49274</code></pre>
<pre class="r"><code>## Teste de razão de verossimilhanças
-anova(m1P, m2P, m3P, m4P, test = "Chisq")</code></pre>
+anova(m1P, m2P, m3P, test = "Chisq")</code></pre>
<pre><code>## Analysis of Deviance Table
##
## Model 1: ncap ~ 1
-## Model 2: ncap ~ des + I(des^2)
-## Model 3: ncap ~ est:des + I(des^2)
-## Model 4: ncap ~ est:(des + I(des^2))
-## Resid. Df Resid. Dev Df Deviance Pr(>Chi)
-## 1 124 75.514
-## 2 122 58.357 2 17.157 0.0001881 ***
-## 3 118 32.997 4 25.360 4.258e-05 ***
-## 4 114 27.255 4 5.742 0.2192611
-## ---
-## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
-<pre class="r"><code>anova(m1C, m2C, m3C, m4C)</code></pre>
+## Model 2: ncap ~ dexp
+## Model 3: ncap ~ dexp + I(dexp^2)
+## Resid. Df Resid. Dev Df Deviance Pr(>Chi)
+## 1 29 11.993
+## 2 28 11.501 1 0.49164 0.4832
+## 3 27 10.325 1 1.17575 0.2782</code></pre>
+<pre class="r"><code>anova(m1C, m2C, m3C)</code></pre>
<pre><code>## Likelihood Ratio Tests
## Model 1: m1C, [llcmp]: phi+(Intercept)
-## Model 2: m2C, [llcmp]: phi+(Intercept)+des+I(des^2)
-## Model 3: m3C, [llcmp]: phi+(Intercept)+I(des^2)+
-## estvegetativo:des+estbotão floral:des+
-## estflorecimento:des+estmaça:des+estcapulho:des
-## Model 4: m4C, [llcmp]: phi+(Intercept)+estvegetativo:des+
-## estbotão floral:des+estflorecimento:des+estmaça:des+
-## estcapulho:des+estvegetativo:I(des^2)+estbotão
-## floral:I(des^2)+estflorecimento:I(des^2)+
-## estmaça:I(des^2)+estcapulho:I(des^2)
-## Tot Df Deviance Chisq Df Pr(>Chisq)
-## 1 2 544.96
-## 2 4 512.18 32.780 2 7.619e-08 ***
-## 3 8 440.40 71.783 4 9.537e-15 ***
-## 4 12 416.50 23.895 4 8.382e-05 ***
+## Model 2: m2C, [llcmp]: phi+(Intercept)+dexp
+## Model 3: m3C, [llcmp]: phi+(Intercept)+dexp+I(dexp^2)
+## Tot Df Deviance Chisq Df Pr(>Chisq)
+## 1 2 117.54
+## 2 3 116.27 1.2734 1 0.2591
+## 3 4 112.98 3.2853 1 0.0699 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
<pre class="r"><code>## Estimativas dos parâmetros
-summary(m4P)</code></pre>
+summary(m3P)</code></pre>
<pre><code>##
## Call:
-## glm(formula = f4, family = poisson, data = capdesfo)
+## glm(formula = f3, family = poisson, data = capmosca)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
-## -1.06976 -0.31729 -0.02347 0.34779 1.27069
+## -1.72211 -0.32208 0.01768 0.34877 1.13445
##
## Coefficients:
-## Estimate Std. Error z value Pr(>|z|)
-## (Intercept) 2.189560 0.063333 34.572 <2e-16 ***
-## estvegetativo:des 0.436859 0.515560 0.847 0.3968
-## estbotão floral:des 0.289715 0.507751 0.571 0.5683
-## estflorecimento:des -1.242481 0.603706 -2.058 0.0396 *
-## estmaça:des 0.364871 0.565803 0.645 0.5190
-## estcapulho:des 0.008949 0.503760 0.018 0.9858
-## estvegetativo:I(des^2) -0.805215 0.583915 -1.379 0.1679
-## estbotão floral:I(des^2) -0.487850 0.566394 -0.861 0.3891
-## estflorecimento:I(des^2) 0.672837 0.680195 0.989 0.3226
-## estmaça:I(des^2) -1.310346 0.672780 -1.948 0.0515 .
-## estcapulho:I(des^2) -0.019970 0.552505 -0.036 0.9712
+## Estimate Std. Error z value Pr(>|z|)
+## (Intercept) 2.17571 0.13842 15.718 <2e-16 ***
+## dexp -0.16923 0.13586 -1.246 0.213
+## I(dexp^2) 0.02870 0.02638 1.088 0.277
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for poisson family taken to be 1)
##
-## Null deviance: 75.514 on 124 degrees of freedom
-## Residual deviance: 27.255 on 114 degrees of freedom
-## AIC: 533.61
+## Null deviance: 11.993 on 29 degrees of freedom
+## Residual deviance: 10.325 on 27 degrees of freedom
+## AIC: 131.87
##
## Number of Fisher Scoring iterations: 4</code></pre>
-<pre class="r"><code>summary(m4C)</code></pre>
+<pre class="r"><code>summary(m3C)</code></pre>
<pre><code>## Maximum likelihood estimation
##
## Call:
@@ -442,23 +407,15 @@ summary(m4P)</code></pre>
## X = X, offset = off, sumto = sumto), vecpar = TRUE)
##
## Coefficients:
-## Estimate Std. Error z value Pr(z)
-## phi 1.584744 0.127631 12.4166 < 2.2e-16 ***
-## (Intercept) 10.896662 1.404311 7.7594 8.531e-15 ***
-## estvegetativo:des 2.018744 1.140780 1.7696 0.0767909 .
-## estbotão floral:des 1.343071 1.109168 1.2109 0.2259408
-## estflorecimento:des -5.750451 1.479861 -3.8858 0.0001020 ***
-## estmaça:des 1.594963 1.229254 1.2975 0.1944575
-## estcapulho:des 0.037655 1.088012 0.0346 0.9723918
-## estvegetativo:I(des^2) -3.724525 1.341954 -2.7754 0.0055125 **
-## estbotão floral:I(des^2) -2.264721 1.254650 -1.8051 0.0710650 .
-## estflorecimento:I(des^2) 3.134664 1.504387 2.0837 0.0371891 *
-## estmaça:I(des^2) -5.894333 1.611937 -3.6567 0.0002555 ***
-## estcapulho:I(des^2) -0.090110 1.193331 -0.0755 0.9398080
+## Estimate Std. Error z value Pr(z)
+## phi 1.125858 0.261906 4.2987 1.718e-05 ***
+## (Intercept) 6.824427 1.817389 3.7551 0.0001733 ***
+## dexp -0.499138 0.266245 -1.8747 0.0608297 .
+## I(dexp^2) 0.084627 0.050231 1.6848 0.0920312 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
-## -2 log L: 416.4999</code></pre>
+## -2 log L: 112.9855</code></pre>
</div>
<div id="avaliando-modelo-proposto" class="section level2">
<h2>Avaliando modelo proposto</h2>
@@ -466,115 +423,78 @@ summary(m4P)</code></pre>
## constante de normalização Z. Assim uma visualização pós ajuste para
## verificar se o ajuste proporcionou uma densidade válida se faz
## necessária
-convergencez(m4C)</code></pre>
-<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+convergencez(m3C)</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
<pre class="r"><code>## Dado que o modelo COM-Poisson leva as mesmas estimativas pontuais que
## o modelo Poisson a análise de diagnóstico padrão pode ser utilizada
par(mfrow = c(2, 2))
-plot(m4P)</code></pre>
-<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+plot(m3P)</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
<pre class="r"><code>##-------------------------------------------
## Testando a nulidade do parâmetro phi
## Usando o ajuste Poisson
-trv <- 2 * (logLik(m4C) - logLik(m4P))
+trv <- 2 * (logLik(m3C) - logLik(m3P))
attributes(trv) <- NULL
round(c(trv, pchisq(trv, 1, lower = FALSE)), digits = 5)</code></pre>
-<pre><code>## [1] 95.10632 0.00000</code></pre>
+<pre><code>## [1] 12.88675 0.00033</code></pre>
<pre class="r"><code>## Reajustando o COM-Poisson para phi = 0 (ou equivalente nu = 1)
-m4Cfixed <- cmp(f4, data = capdesfo, fixed = list("phi" = 0))
-anova(m4C, m4Cfixed)</code></pre>
+m3Cfixed <- cmp(f3, data = capmosca, fixed = list("phi" = 0))
+anova(m3C, m3Cfixed)</code></pre>
<pre><code>## Likelihood Ratio Tests
-## Model 1: m4C, [llcmp]: phi+(Intercept)+estvegetativo:des+
-## estbotão floral:des+estflorecimento:des+estmaça:des+
-## estcapulho:des+estvegetativo:I(des^2)+estbotão
-## floral:I(des^2)+estflorecimento:I(des^2)+
-## estmaça:I(des^2)+estcapulho:I(des^2)
-## Model 2: m4Cfixed, [llcmp]: (Intercept)+estvegetativo:des+
-## estbotão floral:des+estflorecimento:des+estmaça:des+
-## estcapulho:des+estvegetativo:I(des^2)+estbotão
-## floral:I(des^2)+estflorecimento:I(des^2)+
-## estmaça:I(des^2)+estcapulho:I(des^2)
+## Model 1: m3C, [llcmp]: phi+(Intercept)+dexp+I(dexp^2)
+## Model 2: m3Cfixed, [llcmp]: (Intercept)+dexp+I(dexp^2)
## Tot Df Deviance Chisq Df Pr(>Chisq)
-## 1 12 416.50
-## 2 11 511.61 95.106 1 < 2.2e-16 ***
+## 1 4 112.98
+## 2 3 125.87 12.887 1 0.0003309 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
<pre class="r"><code>## Via perfil de log-verossimilhança
-perf <- profile(m4C, which = 1)
+perf <- profile(m3C, which = 1)
confint(perf)</code></pre>
-<pre><code>## 2.5 % 97.5 %
-## 1.323326 1.824516</code></pre>
+<pre><code>## 2.5 % 97.5 %
+## 0.5622126 1.5977357</code></pre>
<pre class="r"><code>plot(perf)</code></pre>
-<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
<pre class="r"><code>##-------------------------------------------
## Verificando a matriz ve variâncias e covariâncias
-Vcov <- vcov(m4C)
+Vcov <- vcov(m3C)
Corr <- cov2cor(Vcov)
library(corrplot)
corrplot.mixed(Corr, lower = "number", upper = "ellipse",
diag = "l", tl.pos = "lt", tl.col = "black",
tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])</code></pre>
-<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAJYCAMAAACtqHJCAAAC/VBMVEUAAAABAQECAgIDAwMEBAQFBQUGBgYHBwcICAgJCQkKCgoLCwsMDAwODg4PDw8QEBARERESEhITExMUFBQVFRUWFhYXFxcYGBgZGRkaGhobGxscHBwdHR0eHh4fHx8gICAhISEiIiIjIyMkJCQlJSUmJiYnJycoKCgpKSkqKiorKyssLCwtLS0uLi4vLy8wMDAxMTEyMjIzMzM0NDQ1NTU2NjY3Nzc4ODg5OTk6Ojo7Ozs8PDw9PT0+Pj4/Pz9AQEBBQUFCQkJDQ0NERERFRUVGRkZHR0dISEhJSUlKSkpLS0tMTExNTU1OTk5PT09QUFBRUVFSUlJTU1NUVFRVVVVWVlZXV1dYWFhZWVlaWlpbW1tcXFxdXV1eXl5fX19gYGBhYWFiYmJjY2NkZGRlZWVmZmZnZ2doaGhpaWlqampra2tsbGxtbW1ubm5vb29wcHBxcXFycnJzc3N0dHR1dXV2dnZ3d3d4eHh5eXl6enp7e3t8fHx9fX1+fn5/f3+AgICBgYGCgoKDg4OEhISFhYWGhoaHh4eIiIiJiYmKioqLi4uMjIyNjY2Ojo6Pj4+QkJCRkZGSkpKTk5OUlJSVlZWWlpaXl5eYmJiZmZmampqbm5ucnJydnZ2enp6fn5+goKChoaGioqKjo6OkpKSlpaWmpqanp6eoqKipqamqqqqrq6usrKytra2urq6vr6+wsLCxsbGysrKzs7O0tLS1tbW2tra3t7e4uLi5ubm6urq7u7u8vLy9vb2+vr6/v7/AwMDBwcHCwsLDw8PExMTFxcXGxsbHx8fIyMjJycnKysrLy8vMzMzNzc3Ozs7Pz8/Q0NDR0dHS0tLT09PU1NTV1dXW1tbX19fY2NjZ2dna2trb29vc3Nzd3d3e3t7f39/g4ODh4eHi4uLj4+Pk5OTl5eXm5ubn5+fo6Ojp6enq6urr6+vs7Ozt7e3u7u7v7+/w8PDx8fHy8vLz8/P09PT19fX29vb39/f4+Pj5+fn6+vr7+/v8/Pz9/f3+/v7////rfmAiAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAgAElEQVR4nOy9CXhUx5nvzRNPMjPfTWa5M5mZTBLfzIxz49jOzc1N7Ekmy8wkmWTiJMQdE2wwGLCNDcbEdhvELvZ9Bzer2DezGsRutIIEYheIHSTELiQhQEho6e56vlNVZ6lzTi2vpKOWjOr/PEhN96s61VL9+pxT9db7b4e0tLSEatfSHdDSas3SgGhpSaQB0dKSSAOipSWRBkRLSyINiJaWRBoQLS2JNCBaWhJpQLS0JNKAaGlJpAHRapyqN/XvMXhxWUt3o7mlAdFqlFb/y7c79Ov6/a/0qWzpnjSvNCBajdHEYfTcEd3yWmkLd6V5pQHRaoRKs+yH1XtasB/NLw2IVhNUt7+le9Dc0oBoNUb3+7efUmOcSR758fPIv0GtZlHnfxz04s9vakC02qTUU7h/eRShS7+7rAHRaoMCTOH+DX6psu+BR378PPJvUKvBgkzh9kyuM77Wvf3Ij59H/g1qNVSgKdzKtTvxt2jfBHSoRaUB0RJIOYV7KSHdaGFpQLS8gk3hVg76QYL606LSgGh5BZnCja/41txownrUgtKAtC1BcnAhU7g/7FUebMdaqzQgbUqgHFzIFO6vO10NuGutVBqQtiRYDi5oCnf7/xtbE2TXWqs0IG1IwBxc2BRu7ZTvBNOr1i0NSBsUIAcXMoVb0vSetH5pQNqSoDm40Cnc8kd7sxSWBqQtCZaDC5zCTfro1J8/viugnrVaaUDakmA5uMAp3HfRqC7RAYH0qxVLA9KWBMvBBU7hTkH/vg4ND6JbrVkakLYkYA4ubAr33ff/orzid4H0qxVLA9KWBM3BBU3h3pu5H42dEUCvWrU0IG1NsBxcwBTu4W+/hS7vbmJvUGuvQKcBaVuC5+Aqp3B/s2ISQklN7VBrr0CnAWklSsiSAjgHFzKFOxNNR+iXTe1Sa69ApwFpDUrUkgI4BxcyhfthfDza90wTe9TqK9BpQFqDErWkAM7BhUzhZv3o2z/47IdN7xRRq61ApwFpDUrYkgI0Bxc0hZs74I218ab2qLVXoGut/WpbStySAjAHFzyFm9rE/rT6CnSttV9tS4lcUgDl4KqmcPNfo+r+ZFO709or0LXWfrUtBbWkABNgwkw1hVv8nUGDn+w8uPe3hja1M629Al1r7dejJPWADGhJASLYhJlyCjcNof807j9uJje1P629Al1r7dcjI9CADGZJASTYhBlkCvd9/OXfmtqf1l6BTgPSzAINyECWFGCCTZhBpnCn3TPi/iWIPrXmCnQakGYWaEAGuqQgF3DCDDCFe+uHL/7ksflN71HrrkCnAWlmwQZkIEsKIDVgwkw2hYs7e3vRhDzzYePV2ivQaUCaWfAB2eQlBZDUE2aQKdzSsJ1auGVFk/rT2ivQaUCaWcoBGdySAkjqCTPQFO75H43feyNWmrf4l5Oa1p/WXoFOA9IEQTJwlQMyuCUFkAATZqAp3KpRX233WLsv9DwpbQqw16OVV6DTgDRWwAxc9YAMbEkBJNiEmXIK97Zx93A9/1Zcvi4P2uvRuivQaUAaK2AGLmhABrOkABJswkw5hTvV/D5G1gp0r0drrkCnAWmsgBm4oAEZ3JKCWqAJM+UU7mP/+DjWlz4jiWnAXo/WW4FOA9JYQTNwIQMyqCUFqOQTZpAp3J9GFmBFfgQ4mmqvR6uuQKcBaawakoGrnME1x2MzCzZhBprC3WlFyFoC7vVo1RXoNCCNFSADFzyDm1ZuXGWkBdc3gYATZsApXHWngXs9WnUFOg1IYwXIwAXP4H51GULLvhpc30QCTpjBpnDVnQbu9WjVFeg0II0VJAMXOoNbZQTFq4LqmVSACTPYFC6g08C9Hq26Ap0GpLECZuCCZnCjU37wq81BdEotwIQZaAoX0mngXo/EbhdroDQgjRUwAxc0gzv6n4dMf3ljMP1SCDBhBpnCRZBOA/d6JHC7WMOlAWm0YBm4oBncDg+NL5EgOiVfUIDl4AKncGGdBuz1SOB2sYZLA9IkATJwITO45AJ8fJN7o1pQAObggqZwYZ0G7fVI4HaxhksD0hg1IAMXNIM71LhWL/hJk7ulXFAA5+BCeq3uNHCvRwK3izVcGpDGqAEZuKAZ3Oyv/+rZx5q2rwJLvaAAm8CF9Vrdaehej8RtF2u4NCCNEjwDFzSDW3h+3NADdU3ulXJBATiBC+u1utMN2euRmO1iDZcGpLFqSAZuhuL19sa/2MtN6g6WckEBOIFrKkP+MqDT6r0eCd4u1nBpQBorwPztuWSqod+XRd0YOOWZWbNmjfxKk7ukXFAATeCCeg3stHKvR4K3izVcGpDGCjB/e+HrPQAfj7FXQl9t3759hw1N7pJyQQE0gQvqNbjTqqu5xG4Xa7g0II2Wev42bi00qy6wtwfRH8CCAmgCF9praKeVez0SuF2s4dKANFYNycC9BglKb0pviCALCg3oNqTXqk5D9nokcrtYg6UBaayAGbj1uxctmN9BEVQ24e23ez3d5C5BFhRg3Yb0GtRpyF6PRG8Xa5A0II0VMAO3/deebv/1nyuC/uOJPyYlBZCNBFhQgHUb0mtQp5VLM4FVoGsmaUAaK2AG7jO1E1Gh6lb2iQAL3yjuHGDdhvQa1GnV0kxwFeiaSRqQxgqYgTsUzStGP1UEdcLrbQVN6g50QQHWbUivQZ1WLs0EVoGumaQBaayAGbizVl1/6nnVNf/c7qmpmzs2qTvQBQVYtyG9BnVavdcDmv3SQtKANFbADNzoQ5Td/5Ai6Jtfe+qpJz/ftP4AFxRg3Yb0GtRp5dIMOPulhaQBaayAGbj/MBvQ1hT8RfmxHsiCAqzbkF6DOq1cmmlY9kvipQFprIAZuK/kGl/WKIIAm06DWlCAdRvSa9BOWeXSDHD7YotJA9JYleNkVnXY8G99kDz0XxVBgE2nQS0owLoN6TVop6xyaaYhFehaQhqQxurNWlDYv74ESFUFbDoFFY8C7F6EdRvSa9hOWdXSDHD7YotJA9JY/fcf5z4AhG3CX1S5WIAcEUjxKEgaCazbkF7Dd8oqGkpQ2bzGSQPSWF1GJZGIekMQaGEOkCMCKR4FSSOBdRvSa2WnoUsziSqb1yhpQBqrclS75tm/VobBFubUOSKQW2JIGgms26BeqzoNXZpJYNm8hksD0liFR/zDE7NkxjBU8Io+2dJXIbfEkM99WLfBvZZ2Grg0k8CyeQ2XBqSxavfzrTFAGGhhrnrpuHFjfiINgdwSQz73Yd2G9BrQadjSTALL5jVcGpDGCljnDbQw9/zfvtCxozxrA3JLDPnch3Ub0mtAp2FLM8GVzWsGaUCapAxlBGhh7vH7ynYgez3A9ecyVAGQXgM6DVuaCahsXvNIA9IoxUdWRJTVGKggC3Ov4FvUffIYwF4P5ec+vNuAXqs7DdzrEVDZvOaRBoQjtXlxrGfJy+3hxWqWKV6/9rNJkyb8p7odxYKC8nO/Yd1W9FrZaehej4DK5jWPNCB+gcyL0Uz8oai4tfz9T4h+/EXFEUP/89e/f+FrwpfBxaMAn/uAbgN7reg0gu/1gCXttIw0ID4BzYshxd5eXbgca+lvFYd8qtr4sl74coOKRynKKAC6Dey1otNYDdjr0fSSFc0jDYhX2Ly4ED+ok5gXA+umffcuOoO/H1Ucs1OVPAi4oKAsowDrNrDXqk6D93oEVLKieaQB4Un5MQusm/bDOCLzoFsVxxv2H9OmTZHvcIUsKCjLKMC6Dey1utPAvR5BlaxoFmlAfAKeHSB10zZ16PcN42/f77uKuO/+vH373zwuDYEsKEDKKAC6Dey1utPAvR5BlqwIXBoQnxpSClRVWy3zvW+9+eabbzylCFuJv8gv5yELCuDaD4puw3qt7jRwr0cAJSuaTxoQniBnB1BFOITy8ZcdkINmyF9W7PW4mZqaGgGUUYB1G9zrDNmLgL0e0G63mDQgXF1cp6y7CaoIBxFs9U61aeLo57/5FJaqjEJA3YYuOQbV7RaTBoSnLZ/9p/+VrFi2BlWEgwi2eqfaNFFvlVlQJDUF1G3okmNQ3W4xaUB4emohQmsVm0BBFeGASsUwypfJwZsmMuQvB9dtQKeD63aLSQPC0+P4b69w9wZVhANudti6whhG+9X9klz3wcx6oN2G9Bra6UC63WLSgPDUBSeZ/Mr4J1kCvoBrq+UqmwJtdvjBOeNLP2mI6uYaZtYD7Tak14BOB9ftFpMGhKeUP6xdN+WpdevWvCiOAfoKgjY7dMZf5JkdqptrqO0NrNuQXgM6HVy3W0waEJ6efuo5ou+JNm/DfQVBmx2GGOMx71vSEPDNtezWCdxtSK8BnQ6o2y0pDQhPM60Hooxv+GIiaLND4S/e7fi5RfJ21DfXuc8b+u8vSyLA3Yb0GtDpgLrdktKA8AQpIQK06INtdigc9ZaiPcDN9bXvTZs1+VlF4hOs26BeqzsdXLdbTBoQniAlREClaRFsswOgLUi99YPGvwpFeVJgtwG9BrUUVLdbTBoQniAlREClaU2pluUBbYEnVb/X5ENZUvQa1FJQ3W4xaUB4gpQQgUD0SQ0s9wnQFplUfbfk15nikLPTpk2b+OLjTT4UsNeg2rxBdbvFpAHhCVJCBALRzVdhuU+AtjrhL//1xocjxCEnv/h8+/ZdFWscgEMBew2qzRtUt1tMGhCuACVEIBCt6gmb5wS0NQhPqn67uDxFHBJfpTgM8FDAXkN+AYF1u8WkAeEJdOW8RQ3Rj64Cc5/UQF76+bsdP7dY0QwgCRnQbWivAZ8iwXW7paQB4QmURdHN+LfxGz+Ufc7uWQPLfYI4nl0c+ZZqgwYkCRnQbWCvQeZygXW7paQB4QmSRVH/nWfHxb+edCAsT5IA5T6BfNqQcl4JkoQM6zak19BOB9LtFpMGhCdIFkWPYWt7rf/HIlVGBij3CeB4BplXgiQhw7oN6TXIXC6obreYNCA8QbIoRhv/pn/pAUJzxDHQ3CeA4xlkXgmShAzoNrDXIHO5oLrdYtKAcAXIophSjo7/9LGjCA0Sx0BznwCOZ5B5JUgSMqDbwF6DzOWC6naLSQPCE+T+8/SX/+6zH3X69ZCXR0nDQLlPgP1JkHklZRIygnYb0mvQVrCgut1i0oDwBLr/rDlo3HwWjlwmn38BDSPA/iTIvJIyCRkL1G1Ir0FbwQLrdktJA8IT5P4TmPUHGkaA/UmQrD8ixZQRrNuQXoO2ggXV7RaTBoQnyP0nMOsPNIygFjJyG0PQlBGs25Bew31vAuh2i0kDwhPk/hOUqwccRoD9SRBHQMiUEazbkF6DtoIF1e0WkwaEJ8h1CChXDziMAPuTII6AkCkjWLchvQZtqgqq2y0mDQhPkOsQUK4edEehen8SxBEQMmUE6zao15CtYEF1u8WkAeEJch1SDsnVQw2wT5LP4UBsDCFTRsBuQ3utmngKqtstJg0IT5DrkDdrQU1V9PtlksyoCup4BrExhEwZwbqt7DXUXC6obreYNCA8Qa5D/vuPcx8AmnrhyfFjfyXzAwU6nqkdAWFZ+rBuK3sNNZcLqtstJg0IT4X4OkTxUXsZlUQiV5VNfbEcocrhsgiY4xnAERCUpQ/rtrLXUHO5oLrdYmqbgGQoXocks5aj2jXPqpMjcBIe3XgqEszxTO0ICMvSh3Vb2WuouVxQ3W4xtS1AQK4WwGTW8Ih/eGKW1CiaKPujOCqTejXBHM8ANoagLH1Yt5W9hprLBdXtFlPbAgTkagFMZm33860xxeEy2pl6XhoGcjwD2BiCsvTV3Yb1GmguF1S3W0xtCxAEdLWAJLOSi+Y6aUhlr8Ki9KKiwtM5irY+xl/ke+rwPg60Wt5MIc7Sl3cJ0G1orwGdDq7bLaY2BwgRyLVeEQS5T7kN3FEICIK0E1AMsNdBvTNonfyWUZsDBORarwwC3qeAwgBBkHaCigmwpeC61HJqc4CAXOuVQcD7FFAYIAjSTlAxAbYUXJdaTm0OEJBrPSQIWN0dFAYIgrQTVEyALQXXpRZSmwME5FoPtLYvl+eQNCgMEARpJ6iYAFsKrkstoTYFCNi1fi4gKOmjU3/++C7lMUFhgCBIO0HFBNhScF1qIbUpQMCu9d/8mjroXTSqS1TtagEKAwRB2gkqJsCWgutSC6lNAQJzrb+N0BT8XZpAhWP+fZ0qBhoGCIK0E1RMgC0F16UWUpsChEhZKXmq+V1hCvbu+39RXvE75eFAYYAgSDtBxQTYUnBdaiG1OUDUlZIf+8fHsb70GXlD92buR2NnKI8HCgMEQdoJKibAloLrUgupzQGirpT808gCrMiP5A0By/6AwgBBkHaCigmwpeC61EJqc4CoKyVb1foNimRnGmDZH1AYIAjSTlAxAbYUXJdaSG0OEGWl5NKwnQy+RVa2AFj2BxQGCIK0E1RMgC0F16UWUpsDRF0p+fyPxu+9ESvNW/zLSbKGgGV/QGGAIEg7QcUE2FJwXWohtTlAAJWSq0Z9td1j7b7QU16NH1j2BxQGCIK0E1RMgC0F16UWUpsDBFQpOX49/5ayNA6w7A8oDBAEaSeomABbCq5LLaM2B4jWI6dmZUsDovXpVvmkr9U3Y/MaEK1PtYp+83E7DYiWllBXNSBN0bljAJ0oUOvoMUDQwZPqmBOHAQ0dyQcE5QFijh8BBB0C/AJOHgI0dCyoX1KBWdvu2r982aUvPtOhwxL3X1gD0iTtv3RdqUu56pjrOXmAoHTA0Y5nAhrae0QdczUd0NDhvYCgzJPqmAsZgIb2Q36T6efUMRfNWr0b2nn05XnzPH48GpAmaf89dcz9XEBDB48DgtIB1f4vKQyXiHLPqmPqIcVZTkGK3mZdVsfcgRzt6GFAUAZg+2CFCBB/gTkNSJMUCCB3u7/rB6T20JqJSX3eH7Ewp8p+zgtIyfbZA/r0en/CylNR+zkTkFhxxoZVKzZmnuJ20AvIw7ylo9/r1WfIvDTnCG5AoqfXjO3Xu1fSzK2F7NM2IDWnMjasWLFxTz6nJrUDSOx06pxJYycu2HjMW33RD0jdibWjP+jVa0gky/4FWIDc2p+6asXanUdu8d6bC5D6M9sXTR83dvrKva5YDUiiFAQgp/653TwvIGenvByy9PKsm+azLkBqtvezQ0LdN1SbT1NAbq6KWFp3Noq8cgNSMME5WGiiNZpZQMqXdnci3tnpFN42AanNXmgfb1leNXLLAqRu1/Cwrdn5rgUGLyDnZ3a2D9h5/h36JAWkfIN9rOX7/edUBpA7Gwc7B5yS64z0BgBS3A5mRNE4aUCQEpBtf9nud3E3IJeGhlzqYlbmYACJbe/mjulh/s0JIBcirBYf8yLCAnJxsLuh0FJahtABpG51Z3fE6/ZlHAXk9grX8RbucyNiAnJ5dNil8flMjBuQolHuA3alZRgJIFcWuQ6W7j0X2YDUbXMfLzzG/h3DAdnco917md4ng5MGBKkAWdKu3f+tdN2D1C0N+bSAfNw6gFwf4I+hJTgxIOURj1ZccR/UASS62N9Qf/KmbEBuvOcPmWF+rBJAyhZ5j5dyij0aBeRY2Ke5d+0YFpC65f4DkjrvGJAK78FSjrirAVuA3J7sP+BqswRpA84gzSsNCFIAMqlduy/jOUcHkJth//AwPtbxSzYgea/wYlbilzAg27wDNhLJdFWntQEp54AWCvXDV/0WIGe68UL60w9uDEj9Sv/hIqnMSYQAcsE/XMPhoWesGAaQm+/zDohJxIBs9R/ro3L2vZmAXB7GO+BMej+jAUmUmghIPNyu3d+StF4bkMLXecMjFMIuGBYgGfwQMogMQB5wBmxkNXu1bgFS8ia/oYnIBqSwKz8kiVS/w4Ac5R0ussy5W8eAVA3njddw2LIqdAA5xQUy1P0eAaSCd6yFF5j3RgG5zuUjHJ5GTn0akESpaYBEX23X7i/pyLAAucQfHqHQ21EbkGxBSKj7fQLIee6IXXzdObAJSPlbopb2WYDc6ykKIdUnDEDiS7mHiyyyj4cB2cQfr+HwXhpjA3L6VcHxFhNAjvEPxpjoEEAejhMdj6RZa0ASpSYBUtPR+JNsoo9NQEp7iMZjKMcC5KIwBF+IGYAc4g+iFGc5ggJSN1DYUO+oCcgk8cHw0DYAuck/mnE8a2bVAKRqsGjAhk+QGAuQQhEfoc41GJBPBAdz1mMIIGuEhwvnIQ1I4tQUQB783PiLWNtuKSB1H4jH41gTkId9xDFdazAguaIha9+qU0AWihsKHaaAHJOEvF5DADkuOlpksTk7awCSJx6ww0pwjAnIPeE5LRQ6hAHZIjpYnvXeMCDF4sOFh1ZpQJpJ0WM3vU81AZDKnxh/kHnW/yggnCklWy9HKSCyGOM0YwCSp/xMJ4CckzU0jQKSJIvZRgDJEgISWUXnugxAlklG7GQ8C0UBiY+WHG4ZBmSz8GBWsWMMyELJ4cI7NSDNpNmfN72jYvYaFweQO95cDz4gd//N+HtMs/9LACmUDcfQZQLITWnMhxiQAuEgWmp6NBNAxBdYhnoQQCRXc4beIYCILnqw9pCjGYCMl43YDGQBki473HgMyA7xwcx7HgOQO7KjhZOjGpBm0jdNQHqOtJ7xAlK56jef9RrbcwEp/67x5xjt/J8AMlI6Hg8RQOZIY/phQG6IB9EGumaAAZFdPRmqwIAskccUYkDSJIBEivHRDECSZCN2SJUJSLX4DszQIAyI8PIxEllCp3ANQDKlgIRPa0CaSU+ZgJRUWM94ANn5/z3/nM+dkgfIne8Yfw22WBMG5Lx8OO7FgFR1lsa8igGJzhePIjqtigEZKz/aRQzIu/KYjzEgOTJAVmAgsy7H5CN2lwnIBunRBmJALkgORkuOGYAskB9ukwYkWM18ZlGXx5824Hgq0umJn5aj1E52eWoPIFfyUc923oo/HEDI+aM3m4yEAZktH445GJBMeUwH0UKhrdv4aAYglfKGQgUGIA8VMZMxIKdkgETwknrW5fgH0hE7PEYAqZeeQEIjMSDVsoORPEoDEMGai6UZGpCA9VSHyvj8z11CT3Wvq3liAoq3T7Ze8d+DvNmuq+cZPyDlzxh/i7ddyXoGIPWCJTl7yGJApspjOhJAzkkGETEjMwDJUgz+swYgRYqYfhiQ21JAVsTJJVayfMieJYDkyo82h6ykb5IdDJ+vMkrr5AcLD9aABKzn1hpf/mkducT649sIvZZsvcID5DXPMz5AbmE++rirZRiAnJCPjxfKMSDCdTuq1wkg0cWSUXQJEUDmKQb/dQMQRY9CvchCoexgkUgRAWSWfMhuJIBMkx9tOwHkjOxgeCYro/SuApBwVAMSrJ5bZ3z5X9cIIElNBqTkm8ZfopenmowByEfy8dEDr4OoLnoG02xefvYHFX4vBiDeHF6POtQbgCju40NvklSTTCkgnxBAPpaP2CkYkLgoicDUZQKIFH6cjQYApFYDEqyem4LQumSEntxsANILoe5DrVcaAUjpMxw+MCCT5eNjGgZEPskbCqVQQOpko+g6AaSXvKF+eJr3tOJo7xJAbkkBSYljQM7IR2xSzACkRH6w3ma6+xHZ0a5hQGoUfHwQ04AEq+e++au+W+Jozuc7FqCkZ9JTn/xBhvlKwwGp+L/G3+EtXzUyA5BB8gGShwG5rBiyh8wNU7I753QCSHd5Q8sxIIohGxpN0903Sgkpw4BEh8jH7L07yvPVShOQ+mWSg2WSm3TFwYbre5CARS6xuGowIPe/b/wZ3vRX6zMA4aa52+pejwG5Jh9EnWtMQOKSe9mUGAZEkDRs6TwGJN5JHrScAnJVCsg5ebIiVakBiGLaoNTaUXhJcrClBJCI/GBzNSABqyGAdGnXyfMMC0glXj9/j1PN0gCkv3R84C6k338gH0Rz7D3p91PEo6gEA/K+tKEwzeYdIT/cEXNHoWxaOXKUAFIuH7PlBiBp0mPhpBxzT7ps7f4+BmSX/GA7NSAB63trRK94ARn9uz9r96e/c5dWYgCpwvlX7/EaMgAZIxsfr+MNSOn3kXyp4KpT1UTyOXsSAyK/48mmgOyUBnWpMwGp9G0pZJRHN0ytl47ZGgOQHNmxuuLERxOQmhXioxVjQG7KAbmqAQlWy/76RZFXQcOSFet+ZfwN+nODDEA4O20dkX3RBiATZUG4yL9d9uewcBDlYkC2yhrqF6eAVErX7RfYRRtkc6+HKSCiHVNEo/AsljSRgBidW1VNysSnxzMkWXGGjI9JOlkxcWoQILEuxp9gLD/IAOSQZHzQnzIAkV2od8OdcepiCadfMzAg0hvwi8jcMCXLiH+hxCn7I0npPW3uST8pGbMrMCA1HSXvn1yV2nWxLguPVkAAKZABckgDkjg1BJB4b+MvMFEQZABS10U4PnrTHeAGILWSxQKSZ+UAEk8XDKJMkos1VNwQXhelgNyVHC4FOYDEOFvFTd22qppI1kKOk4XCZOGh+tAsZKdwHH/TpKHzBJC45DZ9SkwDkjg1BJBBxh9gkSgI52ItEo2PbmYmN87m3SiIeSG0isQwlRXje/mD6BAB5IRwONKPa7qjUHzG6v0QMYXjoqKNGovjFiCxpaIxOypKABEe63VzHwtTWVGUtHiL7igsGyoEBO8a04AkSg0AZKrx+18vDMKA3BMkY3W7aAZhQOpFGbYf0rkxV+lR/g7uYrofRJTZkUzKMVhFGyKCqG5k1DulR+t38kdsjlM4Lirax5RHs3mjb/MP1dPa3c6WHr3OXQtdGDOLNuSL+NiHX9WAJEpwQNa1a/dXO8VBZD8I/yO0t139gOwovMpf4ltszh27a/PyhlFKlAJSyR+P4ygfFiD144yTk19d6QY+pjZv/ABvxC6qZkqPxvhTWfPiZrr7CW6H3rNLJbpq897bwDlcpl32J4fPB/Ww14AkSmBAstq1+9uDkiC65XYlb8A+sINo0YaznPuCV9KsGE/x6qrdvkF0xNqTXsLLfFxtlWGz6mJFeVn4r52mL7qKV1/mrHHjkx9TvDqXs8g9Ec9g0x2FmziHml93RSYAACAASURBVOeU/nQXr475iVx43ykcd5THxyf0NQ1IogQFpOiL7f7lgizIrGriu8PoyY53s+zPZV/ZhsHX7BhfdffiVe5BtClml/2p8N2oh0/bP+eUHs3yETnG2jHmru5e59vvR94VW9293HeZFSEbAc2iDaneI/UtYNr3Vne/4y3hcB4xpUdLJnkPNdL6E2hAEiUgIDX/r90PyqVBVl2si/3Y4dFjYxUbZBWOq13uqqzYbz+zNO+3P4ifWcuMoW34CsoqHBfb4co4eS+LaYgpXl0xz7Ue8q5Dhdf+4H42u0SxrIg86bY/uDCfHbODs+kZyyr7U+C6xeqzx1VV2G9/cC2VOVwKzuRnildHc0exhxqyy64uqQFJlICALGvXp04eZFdWjOfPMD+we8857ik67dTmrdw8uIP5Ebv8kiuG6w9yO9dkZON58n+nNm/tJ2PM0u59F7hXQ132B5Vbh71kjtn5BQxFfn+Q2lM7TUY25pvl1L3+IOW7ZvUjQzZpVrb1AWAXjovnTTBpfDfllCcnh+cPcv/Yx/PI4Zbk0GqnrP1B9PRqc31y4IJjTJV2DUiiBASkTGmP46rufvtUfv4Fb9Vy5LE/qC3Oz8+/UuONERno1N6+evW6RanL/iB642R+/qUH3h/wGuhEr57Ozz9T5X6Sa6ATr7x+9eptZzxyDHTqb50/f/4m86HBFq+OXzOOdN73zoQGOrGKq1ev3bNg8hro3C8+f/5CqbvAtQYkUdIOU4CgT7XDVPPqkQckKz0oHQ2sJS21zIrAGpDmVh7gDHIrA9DQeVE6JCt9BgEE6TNIa1JzAlJz88KJa657ex8g8bKL+RfLXbeyNiA1pddKHwqO5gckerXg7HXXwXz3IKXFF69771RYQO5fv3jN675G5AKk5nbxhVK/KRwXkLqSwos3mXsRB5Bo+fUSzk0KlheQWEnB2aueP5MGJFFqLkDiBSl9X8RTOX/om3LVftYNyP2dI+h8T5fk7Y5Vk7mj8CSdtlqWXuS+PaVyAxI/sfD9P5CD9V54zn7WBcjt3TMHkNmgEcuPshjZgBSuGUFeT1641ze74ABSsn0qmb/qP2GtZ4bKD8i5xUlkoq5Dv9XWDLkJSN3RNeTNLd52ssr7Ux5Arq7tT2f73picwwClAUmUmgeQmq2uLJDRVlV2FpDr09j9sJ0XW8OSAPJgvbM6sGS//2OdBaRuR2/2YINOmM8zgBS6kmOH7nZOTCYgZbOZ1wctZ5xIsCxA7rpKWI9MZ0nzAFK/m10PeWE+PSIF5PISZu1j523ve2MAOTGEfWevbrQR0YAkSs0CyD7ffnGfiWe1r8Z7N8bEs261OwEjz7sIwwBy1FfeJMVj4lmzwbsinWzbb1JAznlzZ5fdZQ5mAZLvTTMZfsg5i7gByfN2qg/xSCCAeDdn7ahALtmAVPo2Tfa0pgo1IIlSMwBSzSueSNPkbUD8ySaGaB4eBsRXLnep5zbZBqRuLqehQeROwwLkzkQvH4bWmncRBJAr/teH5jBXUBSQfZxmFtjEs4BUcLZNvokvszAgpd73Fokccl1FWoBwvew+Mo+gAUmQggektC/n7xoKbcavWYCc4G9j2oZfMwCpW+gfRHtd98UWIJXDuA0NwecQE5A7YzkDOxyeT1fJMSB1Y3gBS51LfgIIvzLWaMtxhQHkArfgyuA4BYS372Qje29mAlLA/x3RTxoNSKIUOCDXRbVFcZ6dCchJQUgIJ/YZgBRxxlBkHTsBZQLyUOSPMxdZgNT4Mv5MLSIf2xiQNH7AdPtmnZh4CqrzJpv3Vw4ghwUmbBkEkDu89xZZcst+ayYgl0SFjjfiVzUgiVLQgFQIbGdx8X8LkGKhjd9bdQQQfu3BpczsDgVE4udUYAHykYCPcJiYDeDavCMFAROtz3UMiHC/7TB6DrEBEe7M7xuXmHguKrLfGwHkgbhwJM5X1oAkSgEDEpVYnp0wAanjX4MRbUESj8LFjoEcBWStuKEkExCuu7kpbDZgAHJZGDDZvMoyAKkWm3iOYdPd0WlxifuLGJA9/PdGN54QEUAkThLvRDUgiVPAgCwX/11DM01AZNWBesYwINytfYZS7ClRAojU3OAMBWS2cFyHw1Pj1KNQHLGA3j0bgByUtENuC0xA7kjqfm2QmnhaDmwEEKmX3S4NSAMEyEuQ/UywgEj/rt3iAI/CkxiQE6IxtMTqLQFkiKyhFALIVcm4DofzCSAbJRF0A58ByHJZO8eQbeIpK+U4VW7iucicWsaAjJe9tbfjGhCwLry/4z8fm2p/ssZuKH/CCMmcZP+PA4jPxJMHiC+IACL3KLxFAPlQGrMEAyKulbvKvOjBgByXNtSHAJIqBWQOAWSlLIR8rBuA8KaKbY2qtwDZI+vSUIWJ5xo6sYZNPKVvLXRWAwJV1Y8qUeRLzv9fGaj8ERwybLX1Py8gPBNPHyC8IAyIwqPwOAakUl5PeggGpFbsUWiWjQB4FFZhQKTjOhy+iwFZJYuYhZdDDEAGSNvZZwJSJXUIGYABkTki5pD3ZgCyXf7WVmpAoBo1HqEFjzv/D01R/ggOKfsXK3vDAwjXxNMLCDcIAzJT/nclHoXyCs+mw5T4Qt10EzcAuS9vKHTZAERltHEAAyL3xsGJK0oTz/FxCsh6aY+GYUCEFeOwyGSvAYiC/aEaEKDiX91LAJny1Fzizrnjq8+0L8yOzPzt4U3fH97lS6hwSKcfbEXkCcvIk4Sgb28yW/AAwjXx9ALCDTIAqZUb2Ib2YUAmyWNeIoBISuWmkNUJgEfhaQOQ6wpA1mJAeCvkjqbGASae4WJq4in3LJmOAamSAULKjhmAvCZ/a900IEBdb3eDABL/GnXnRO1nof0/iqMV30YvfSt3duEvHqJzK8wnLCNPIwShDlYFav89iN/Ek3MP4g8yAJHfFIRCRzEgb8hj/kAAqZdUWydVoAEehRiQ8wpAZsuneYkKySXWMHnQNgKItLy7OYuF1ovfGrW5zSitVby132uPQqDyH4vRSyzLndMY/QO+PWH6xLfQax8YF2Dv4iDzCcvIkwDSr4fZAg8Qr4EOFxBvkAGIwqMwdNUApFoR8yrN5t0vGUR4NUTtUUgusc4qABmPAVGYR60lgMyUNzQTYuJZQAA5KQMEL5NnlJYr3lrooQYEplvtSh1Akiggb/yAvIR9Ot96CT8yn7CMPAkgXQebLQQJiOLq6eWoAch1xZ8+TAF5KLHPwTmNao9CcpNeqACEWrBJ79LDI0htXtlcsKFBcbWJZ9d6AkidzIskUooBKVW8tZA+gwAV/0IeIrNYljtnh1GxtZ/dh1Ax8enc9rmDRoz5hGXkaYQg9P3FZgtBAjJQ/lcdDvEonGFumMqXDKIyiEdhLzzNq7CFomcQ1YUYqe5+UtFSpdrEc7aZ7n5IBkgOBqRK8Ut6Vd+DQNVzCdry48+MHWG6c6L1X365dvbTv0zanfrk99cglPJ0+3774+QJy8gTh9RFv1JmNhAkIO/L/6zbEeAMsscEJLZOPIj2IYBHYYR4FA6SD+sIASQ+RRqUjwGpE6eaEGGPQsU92DkTkNol4rcWWUVu0l+RtzRQAwLVyf8Gh7I+hal9rEdBAiL3KOx0F+BRGCq39qTzs16JliG1R2HoEFkoXCAf1hvofpCT0qAMkqy4Tt5SmdLEEztv0x2F0pneagyIwi94sQYErEmp0EgGkOrX7ExuPyB+E08OIP4gAxD57D2+9VF6FI5yijYUiAdRudqj8LUoAURQIt2SZeIpdZXdSQApkbdUpTTxxCUhzT3p2yWAXMOA8GqAM8rXgMC1guM4yxVj5LnHScbyAsIz8fQBwgsyAJF6FIbw5JMBiHxcH2Wqmoj8pbCPnwHIZmlDG2g2b5X8GqvKBOS2LGgX3TC1RhYzFKlMPOfg41gmnhKn9LMYEGlOG4ZfAxK4BEaeQSYr5sn+qstxkAFIhiwIX4bYgMRSRYNoPwZEejfzeo2Z7u7bjs5qsV20QXam2UcBuSf2fAqHF6hMPHuRnHir7M9tMSDUo7CfpKnQep3NmzgFCUiN5N6yLymkYABSI94vEQrhgegUjqv7WDCIiImn5EL9hRDOaqIehbJFjiKn7M9qcdRFc08616/DVA4GpO5l8Tujuz3suliFkrMjBiRX8kvqXqUBSZwCTXcXL253pbWxcDbvGvGfnuwmZSor1gtysqiJp+SENZP8NMmvzRaPanyNaAESnSeKGlhnVTURr4UMriILheJkZrNSqFM4TmRRSO9BUFzoUPoC3rqrAUmYAgXktvAUYpbZwYDUvCUKmkhup9jSo9Fd3EF0kO4HGS5qqD9JiqeAxBeLRvVw/NbtwnE1cwRhK+yyPzGRRWE4lWbzCj/3re24TOnRSwJAaumOwhLhiXYq/mkNSKIU7IYpngMZluXdRnYUnhEEjaJ+A+7avAd5g+gyBaRUsHIdpu/JrGpSI1rlIG5NjImnYE/UNadwXL0AtlEPKSCx9/kdyrSOwdbmvcVdDtlqFW0QbW1PIr8lDUiiFCwgcU5BKOOi2XYho0Ub+Pfp1gZwT/Hqa/5xlFJv7kkv4DaUbNZasOpiVfPzqGgNNtbE8xNe2AbEmnhu4TZVjMz9IJd4/enJFLlji1dX8i4gr9plf/irKgPpBL0GJFEKeE963QT/33S4491mlv3J5vzlU63pam9199pM7yA6Zpf9Oc2pj7LIKqBlV1as5SRbDTVr+LqquxeN98XNxrv8mOLVJ/3Vf4aSvtAdhZx3Non5DXuqu5/01f/CjViF445zTpCzzBKTGpBEKeiyPzHvPfjrGcxCjVU47sp7nqihzhD02x/c3uoaRKmOiSe67boPecG4AuEWrz7lLR6XYpUWddsfRLM8438xOa2x1d2rvEvqE2ixBbNowxHPvcO7R9j2vfYHD7LcfGzDcNulR0vHeX5LPe3ONgyQeFYB7+kgpAFBDa2seIVdCvxgdy0bZJcejX7yR2Zcj2VXaHj+IGVpC+xBlI0HkVOb9wBbaCj5IN/EE9XvG8fi4fj1ev1B6nKnOnGj8mhzbn+Qii3DnZCRWeYJyyr7c2cm88ZGH3Qv4/r9Qe7nOEbwCw+TaKZ49Rk2OaFXqlPrUQ3IsRFjfltEH57suj2K5pGXh3iP31RpQFDDi1ffTZv6/hvdeyRN2XbVE8RWdy9cO7p3965vDl3gsRvgG+jUXcxct3jR4nW5d8h/2eru1zZO7NutW6+BH37i9uH1+INcT18ybkjy0Mkrctm3zDHQKctYOmVk8vBZ605ZJXO9BjqxC6nzJgxPHj1n03kbAKey4r3tU9/p3r1n0rxMn48Cz0Andi1v2+oli1fuPGmOf5f9QcXume+93r1H39EbLrKsKQGpfrYepfyMPDz5S9yPlA2lpbd/6qmT3XRpQJB2mPo0Okyt7I73m+Jfd+y7JHargd/aDwGHb5geeUBy808pdSRdHXNq/+HTah0GHO1ABuBombnqmAJIt3OzAEHph9QxRyFHy86GHO2oOub4AfrnW+cF5B/mzcNVutCwfsatx2dwgmT236f84sdkobLmt/WBj59HHpC9+3KVys5Qx+RmZheolXlA3VAW5GjpWeqYfemAhjJBR8tWx+yFHC0DdLS96ph9tEIQWvWZz7v0J5/v0AGnTaNeg4wvXzhlfBn918fiY/8Gp4IN3xb8+HnkAQnsEgtkA51dro7Rl1gNuMRK/ewTLv3Nc2bAgL7Glz/F2+Le/41x7njMOK2c+S9o4ncDpAFBzQtISe7HS+et2HnWcf/wABI/n7F8zpylaWddJlN+QMpyNi6fuyz1uDPT4wekqmBrypyUNXuZW1UDkOpzV70GVh6xgNw/nrZu3dbss15bODcgscv7tq3buDPvqttgkQXk9uFdRkO5xb7LHhaQeHHu9g3rth645nENVQIS+Z3R1b/HR5/yS6OZ/3EDxX+SI3+XjZIGBDUjIDeW2mYiXWZbM14uQE7PtjdYdZl12nneA0jFRnth5eWJZ8wnPYDUpSV3sIIGfGIhYQByJi0t65LftpaRs5J+zCmGPYs11XQDcm2tnUM8ZDV79rEBqcm21yQHLjzqPrgDSNkW25kheVWh6w2rALn5d/fRxgEIrSgr/GIVOvqLOFr4H7K32FhpQFCzAXLZs3dqPh1wDCBXkt0RIy0zUDcg5RF32ER6hnABUrPevS7dy7T6NAApTDO0746k2xYghe6V9qG7GJdqB5BSzz7fOXavbUAKRrkixhxgEbEAqd3kbmeKs3qjBgStf3X6sFpU8/gutLHH7IGlqPSvNkreYaOlAUHNBEjt0hc868Sh98jAdjZMrfYGhEJbzdcYQKIbfYmvr5NPWxaQI37fK1LFkFxipRFdFF+hm4D4c7VGnrJjbEAO+HegbLHGPwUkvtUXMdmByALklt8YbqVtGq0GxKtYfTPcgWhAiJoDkKs8F88+uDMWIA+SORGhmXSsOYCU83ZO9MDXaw4gUe5m4GX4JXyTfoYScsR1ycSKArLTN2ANbbDGvgUIN51xhrn+QwHhFgPeZx+NAnKZV8tx5DUzpuGANJM0IKhZAMnnb3cYHbcBqRLUSCF7oRxArvJLmfZ5yADCy6DEwgciJp57KSH7XN7PjAggx3nDOhyeZ2JlArKdHzWeEkIAOcIPWWfdzxNAyvmWiEPM+zANSKLUMoAIffxyLEDio0Qh5CrLAuSyqHzcEgeQOu6pyFC3SnOa91aaqeu+HhNhQO6LtqTPpNlmFJBjgqDwDDJZhQF5ICrzu8QkhOwonCVqiN6IaEASpRYB5LRo8If6xE1AJPaD+HLdBOSmsIhQ5woLkPgUYUtLrXWQAouQC7xeE0DWi0ZseCm5uCeA3BdY4RoiBucYkG3CEHpXRADJEwYNJSX/NCCJUksAUiqpGnqGAlIsjgglIwuQOm/WPKOPLUA2imO61JmARA9YhBTEON02AKmSVFbcg2MIIGvFQWGzLlZUUiee7lw3AIlxnduppuMeakCCV/EJ3rMtAEh8mGT0L6OAyKz+QmctQFIkQQNNQKTFgPOslfQHWRYhxzgrIgYg4o90Q9j3DgNyVxY0MUYAuSQJGWIZ6EirBeO3pQFhJTceZF7FD2OC2by073iLhRJRQOIb+/RIvkSfKRzxSs8595zvNiBskKFKfL9Ys6JPtySyG4cDiM/HkAKyWzZkBxNAuFtXbc0wAZE6vnWsI4DEpS4JKXaqyW0LkLTD/ow+lYnnbEQB4e7ZtXWcACKNwQ1hQKTVvIZUakDckhsPMq/ihz1HCuIGSQDZ1OHmvR7d6FpZlw59fh/qH7W/24CwQQ/3ju2QbHyf3ftuNNIZ7zfwAsLzMSSAyH38XiOALJAC0rmOAiKvJn+dALJfGpPs5GIV2YTk1Xq7bQAyQTr2T1NApkuD5hBAVkhj8GeNAchkadBODYhbcuNB5lX8sES0J2awGJD460MRmhEiyZ41PcrRQeMyxvqOLEDYoGMvj0kKjUGo9vczEbpCgjyAcH0MCSCSewJDHTEgcXkB3xApPYpOKIIIIEnSmHeYZMXTNiH7vYQoTTwjBJCH0phwuBIDIqy/RTQdYUBi/aVByTENCPUVvPfe1PeSiKtgv3bh8su/7FlOnkanp47uUW/G4FcvzBr6zO/qSeDMThEUMYP3DpvRYUy06qtp6Na093/65GuuVk0RQC5g74otocn4iZsLjS89Qset78gChA0qvYzmhCYZH2ShHqXoaEecceEBhOtjiAGJ+de0WRELtqvyoR/aTgCReomHQqcwIPIit6E3GUBiR21Cch+6u6008QyXYkAUXm7hoxgQUfktU8UYkEpFQ+c0INRXcOb7CH1EbKPQz0Yg9Mda+nTNl8vRsO90S6Xeg8arD1eh2q99QgLj7ZOt4Atfr0XV/zw1vqz89r/dRbHOr7lbpSKA5IYWYIO9EfiJeB1CdR1ffGh9RxYgbJChuWTJ7u1Q503vkeVh/z2I38cQA3JCPmS7YUB4VU9YLcWAVCqCCjEgijLpfdh092ieiBC1iWcGBkSwlGhrCwYkRR7zMQakQtlQmweE+grm/sV/jD5FAdn6D3Ulc82nD/49QmuftbwH8as35k98ehENxNZrNHjcr4yGhmD/tUX4o9y4xHK1SkUA2W3craIjoQHWk6dDS9jvFBBP0NwQ3r9Z/Jrxob8azwvwAPFd1BmAyGaeDPXDgMjdlLE5jgGIwjEzdA8DIi0CjacE2P0gdfudqyxX2onaxJMUrz6oGNeLMCDi9RSisZAzyGwNiOkrWL72lT8vJ+M+9sSayAPz6aufzUe9xlkxxqvZTxWj9gscQGjw0GeNV6djSib8u/Gl92vuVqkIIFvxYD9lnxzio9+tY79TQDxBFJDTfZd2DoWyEByQsHzIfogBkfsomIAslMf0wNO8dR18GZGehlwbph7m2oQcYLeIGIDMkA/ZZAzIYeW4NgCRm06Hw/fV9yDhYRoQ6is4tgJFHy+lroKzno1YT6M1P52+IW79x3i1//Oo6Ovzqf0g9iakwfv/xDhPvLw5vrw877FsdOtb3d2tUhFAMnHB17OhaeZzu3uWur5TQDxBBJC7nTNR6YDQeAQGJPoH+bjOggBCLrGE5Z2pJmNAVDczuz07Cqv32YQcZNZDDECkE6+GHhqAnFbEzMSAqKzbz+NZrImKoFibB4T6Cs5oPzxpJ3UVRPf/6or1NOr02Jf+8X9vMv9jvJrzlZ9t+HmHa/jhxid/kIFoMFr+o/GRDajqK2lo3j//cPjQJ1NdrVIRQI7g1ekj1MIDofNvXXd9NwFxB1FA0kPl+EJsNAIDojJwrYRcYu3AgPSWx2RhQE4qGrrt3XJb5RByzFlTB5h4Ygs2qQ2PoXkYkPhIedBhDMhHipZq2jwgUhX++khlYf9vBNIWAaSyQ9c42hw6j7I+jqFrb9G9a9Z3CxBXkAlIDva9KAlhB3YgILIcEkNjSbLiXsW4PosBkU8Fd67CgByVtzPQvyf9wV6bEGevBzbxVNiBYhPPuMLo8yOSi8Uv72srBwOSL4/5IKoBkWkkro934IeBtEUXCqeFjtS9F46Xh0LHy3u++KqhJOs7shcKmSCEV0SMi63K14Y9iH74Jt6f7QfE72NoAHJFPmTzEWCa95V6tcvtApLNe0reUBqnaANDiJ01gJMVZWlWhu7jhcJl8phsAkipPOgABkThqZus70GkWvay8eWDDYG0RQGp/fCNvlPLUCz5vXvmvW9f6zuyAWGC0PrxHUMdx2egq6O7vTOTbKPwAsLzMTQAuSMdsYMRAST+mjRqutrl9oVSAshNaTtv1PGqmjBXWbfMp9QmnklxDIhinvc63Q+iWkvH2bybpDEfakCkio8aNGf8lmDaSnSyYryTbMjibHOcarJYOrALkNLldikigMQ6y4KwbQen7M9DZ7bX/OWQDVMSk7ZweAZJNakfIYsZE6eAVMhc4cK3CSDStMfwTg1IwpTwbF6hLZQ5rAkg0mssnHtmAJIqCemNlzHwOshoSdAwvHzDq4tVe8gCZC9dDiGASPZ64CFL0t0lfm8kK55uuc2QBA2P0x2Fgp2JVNc0IAlTwgHZJh6xSSSPlqS7T5IMbJz5ZQBSIgmxizZIPHVfJXPY3MJx9XbWCa23Tvekyy6gSigg9ZL52aEP7aINQis3smmKAFInaWmGTlZMnBIOyH3hVU9PunhJALkt9sJdjINwLpb47JBFGsKA1IrnukgJW0FlxdgZ1426WdUkVThkF1pbbovFwxqXbTPL/lSJc4NvWEUbbopdp09pQBKnxG+YWiEYsK+bqy50y63wo38gWcDDgFwUhZi1gUg27yeiINN3VlR6tJi9DTEBiQtvr2/YRRuEhuvz8bnIqot1d5QgCl9kmmV/zohaSkEakMQp8YDUvsMdsL1LzBizqomAozAtD0L2gwjSuvaYDdENUwJrZqsMp7A27+1sM28x6hSOiwlu1PGBrLI/u/khE0lJK7uyYsUkbhQx3rUt2PgtjX6ANCCJUwtsub3Ku3waazuHWHWxuIm4Qx/QFwkg9bwb/h62Twndclv5LifoDbuslrh49QNzn3oRU3qU7/P5ET452IXjMnkhk6mXjlOb9+FSTtRQcu9klx4t5E2KDSdzzxqQRKklijYU+tb4uu12NgrblRUzu4a8qYbLre2wdE967VhvQ6FJzn4xs2hDxQBf0FTH+klS3T1Gt1Bl1bPFqy/7P/q3OFVNiM75r5+WmOnzbPHqA75ZseF0ZdKpzVvpt52eSG/UNCCJUouU/alw73XqvJA1nnJq85ZOdY/r5It2kFn2J57axX2CYepb23Wxop6rtUFskNT+oJSsGd5wVXePZbuTqUaZ/phM8eraHe6VjlH2r8Zlf1C91R22wMywZqu7n3XzOGib+QmhAUmUWqiy4tnJL1vjNWmruwtsdfeLc+1ZqFdnXGSC7MqKd5bZq+7d5rERbOnRksV20BvzXFXSFf4g9efINZbbH6T+yHx7A+6UXCst3mV/UJnm7Cqfw9RJ8fiDPNw3zYoasMi253X5g8TPL7ens8Zss0s/akASpRYrXl1zYuvy5cu3Hq/yxnj8QS5nrFm+fHX6JXexFqZ4dbzwk1XLl2/Iuekt58IWr45fSV9hBGVe8Za9Uhno1Fy5VOc30Km9uG/b1q0ZJ5hfntdA5+7J9K1bt+ecc+288hvoPDiXvdVo6QIT5jXQiV/L/WTr1h0HXd6eGpAEqaUNdPzSDlNBOEwlSo88IHuzspXKSFfHwILS8w4pdfAYpKEMdUxWcN3OVMdkBnc0wJ8ky5ym1oA0t/afv6JUQYY65sq+/YCg9Gt3lCo6BGgoGxBUlF6sDjqUDThaxnF1zBnILyk3BxCUflodcy6P/vk0IM2txF5iQXzSSw8BGtKXWPS7BqS51eoBKUmd1K97h5ffmvgxO0q9gMROrZvQt0uo67vzHOdAHyBle2YOeu2ljm+NX+/MZDGAtHrI0gAAIABJREFU1BxbPyO5/8BRc7Zc8NzKG4Aczz7jm05wyQXIvQMrpwxPGjBp0a5C19QBA0hV3pqpw/oNGjPvk2LP7AIDSP2pj+cM7zdo7NyNBe6CqBqQRKl1AxLfy1ZGDO+1h5IbkIq1TDW6rsvM1XY3IPE8dt29n9VbG5CqLUx24NAtLi+drMvxjLS0tIsyp08GkOJFzNLFyN2MH66TarKGKdU4Nt1lmWsDUr2dWSgZ8tFt9h1rQBKkVg1IQV/PEniSdRZhAalZ68ld6X6EPO8CpMBbIWs6PSFYgJz0FL4avI2ZeDXOICdIXpbkl2UDUu1N2Bqaa3NtAZLp2TM1JJ1hzwLk1HBPQ6ucw2tAEqVWDEiUk43VxZwDZgA5wylvsgO/wABSM8cb8ULoXXKSMAHhpBiOdJYdDUDu0cSsYmG3LUCucxJ151tv29wPwtnfPr3EbokCEudYIg7Lt2I0IIlS6wXk4Rj/wDe0i7zoAMLfWIiT2R1AbvASFkNhnCBFAUn3D0ZDWdbP45t0s7b1SdFllglIMXcbxyjz8ogCso4XMuyY1RIFhG9EtdU8GWlAEqVWC0iNyNiDTHBagMQFKe9dbjCAFAscrWYhE5CL3MGIa+BSYUAsp888T2FrSxSQO4Jd6cPpZRMB5JDgaFYGPgFEZHa4gRKiAUmUWi0gwk233fBqvAWIsLrDeAeQa0JDklMUkOg4wWgMm/X1yDRvmbVPnf8bI4DEZolaGmfvB6kWlvk11zYwIPeFhR22kxgNSKLUWgHZIRrUIWLAYAIiKdxQbAFSKS7BmEwBkdir0Ztqug5y0SQki7tOQQDJFbe0GAdhQLh261ROuruk0imZgdCAJEqtFBDJnvQXQpctQMRuubhCigmIf8+IoxICyDTxaBxMbh4oIPEj1jZcnls0KfsjKyuKb7ANQGKS0kAjyD4VAxCZZehQPLmgAbH0IKMpPx2/aCdRtwoTTzAgMySjOjTHBKRGVp63rwmIpK5JKLQNAyJ145iJr/nNlfTaHIuQQn+3MSBCl3SsMVECSKEsZgXpcansTBQO4+rIGhCi2I3SXu08zyCU9uPVNz9xPbvph9/t9nteA5u/nmw9BJt4ItOfM1oXjRv/kNTE0/lOAZG7gfIA8Tl9YkBkJX1Coa5RCsg6adRDAojcEXEaBkTuWoA/+K1Uk/vZFiEXkVcYkEXSlg4TQNKkMfhABiDyhq5oQEy9MhAVtvM+g9Zc7dnV7e/SIX534U+4LfRIth9CTTwtf046/PA9ocTE0/puASJ3A/UBwnP6xIAojKHOE0Dud5EGXSaAyAvF98eA8CdULU2MM7lYpXbNxTPe3ScGIDF5gevZBBBpgcbwPEQAkVZoxKcQDQhRaAoqaud9xq/3+iG0/CfcFrCdjimgiaflz4m2dOzStWsXPPcoNvG0g01AFG6gXkC4Tp8YkD5yQHYSQBQmCacxIPXyGvC9MCBrpKMxfI5NVrxqE1LgIcQA5Ka8ofA9DMh8eUwJBqROHjOoqi0D4nHvTG+X/asv/v4uooacjGOn+YzxEye+9Y2OZzAg9JlN3x/e5UtRM8gApIEmnpY/J9q50YoRm3jawSYgCjdQLyBcp08DEJWJCDHQib8NAOSQPIaYeMqLSYdXu7J5L9qEnHQTYgBSoADkMAYkIo/ZjgGRV+YNhw+2YUC87p1F7T5CZd/obxpyMo6d1jOG3kwiZxDrmZe+lTvbsvU0AGmgiSey/Dl32uWxJSaezncCiMINlHMP4nf6NAA5oACEWLBdUgSRS6xZ8pj3MCAKt5phcVe6+2nBOcQARLQCaOljDIik7CjWZAggq9owIF73zqJ2xp9h3C8tQ07HsdOx6LQAsZ557QNk23rSS6wGmnhS+8Ftye917L3OuUnnBjnfCSAKN1AuIN4rPwOQjyGAyP3WQ6FqDMhb8pixGJAdiuHormoSz7cJOc0SAjXxVJlHVRuAqAzXJ7dhQLzuneQmfWySZcjpOHY6Fp0WINYzGArL1pMC0kATTzrmN7zcr3sohF1IJCaeHkAUbqBQQJYrxv5Spf0Bdng2AFFZRS/HgBxVDMdj7g1TsWM2IWzOvQHICUVDszAg3LpyjArxTbrUICEcHtCGAfG6d55uV4Ye/Oq2acjJOHZazxh6w7hJX/pj+xls42nZehqPG27iScf89UoUnREympaYeCIPIAo3UCggKhPPbRgQhV3uHAyIsHyvqSMYkDLFkE337CiM2guGjgcVAeSqoiFi4nlZEXQUA/KhIqi+7QLide/Mef6pTsPLLENO1rHTfAahHU9/b+vR3/7dcvOZ1Ce/vwYdpEHG44wGm3jaY96ACb8gMfFEHkAUbqBQQD5SjOtTags2Y+wbgByXx7xSS1bSx8tH407vlluGkKv2kwYgdUnyhqiJp7hqO1EuBkR11VfbdgFJtPwmnuaYv47zys+H8J262MQTeQBRuIFCAUmTj+tOdRgQQYquqdejAEBm0VysXfLRuMu3Jz3qXGXZ2/zwQuEseUNrSS7WennQfgzIFXlMv7gGJFHymXgiy5+zQ1bdrcFjMAtiE0/mO10olLuBcgDxO30agCiujCaRVJNe0piNJJv3nLyhSxQQxaTRPn/RhthxmxCrFjAGRGYdRRrCgChWS/JJsqLcKH1sG74HSbR8Jp62P+es17sOTifzNBITT+u7BYjcDdQHCM/p0wAkKk5VxDpMABkqC+lRRQCpkLYzHpn7QeQOtuc4VU1iJy1Ass1aDhiQ+/Kxf5PuB5HnkdwggByQxizVgCRMrTNZUZqr+H6cACLYKkVF/NCML2/IgvCdEQHkrnTWqIpX9idue1Dtp/VGSLq7dFF+orlh6rYsaHCMACLeooKVowFJmFonIOdl4/ooIoAcloSMxmc+DIhvLzqj9fhodMvtPslo/FBQF+uCRQjdKE4AkRrYZllbbgUeO0TLzR2FZ2WA3NeAJEytExA0QjyuSR6LAUidOE/3dXJjgAGR7BgZQYpfUUDiS8Sj8bCocNwVi5Ai/D+65Za/uZ1oZJ0FSEySbnLW2pMuuZdfqZMVE6dWCojYB7o32VSEkxXXikK6FZGGSDbvQFHQu9REx6xqUjNZNBrHRYWVFUuyTEJw9jIFJC7ORcRFGcyyP5VjREHT4xYg9TOELZVpQBKnVgoI2i4a/HTlAQNSI8gj6X6eNkQAEU2I9S2jQVZdrHuieaMzSFx69J5ZyCGn3q5qUiUibRV+1aqLVSYiBJcVMutiPRD1iFzLaUASpNYKCJrHHdc9zJ1KZMPUKW7I69ZopjsKN3CDkiwTNruyYuVM7mgkjrnC2rwPD5pZWU5drPtTue3MJbfydmXFe1OEY98uHFfJP4eswPdXGpBEqdUCEuflm/S3MmTonvR9nJBR9hsy96TzCp8ssHyhmNq80Y85o5H4c0qKV1uG6vecyoq1vGncFHpApzZvLS9pkbod2qVHa3mTYovJzjMNSKLUagFBKNt3F77aruBsVjU56t0P9XqGk2Frlf3Z7G3mHbtAobu6+3lfzkkabU1W3b2EXGYdY2rzxg/6skk+MXvFVnc/47vMyqUvMMWrT/q2Fu6kdbU1IIlSKwYE3V3QiRnWnWdfc4KsulgVeMOH7YXbc0st05BTOG40i8e7WWxxRJf9QfSA67p//hXzean9QTVZVa9jq7tXbXM52C6381Fc9gfRnAls1MJb5vOs/UFd9lhXj6ykNjUgx0aM+W0RfhAb8fUvvvTA+ha0NCCoJau739sx+lUy/F8fu6OSDXJKj5asHdgRR3R8b8Fx9x4/pjbvpYW0DPYfBi73lFvw+oNc2T6T1l2fvPWG/aTCH+T2wbSserc/SP2JZbQEUNKsDMeY2usPEi9KnU4SHJOmbbtlP+v2B4md3zCVxPSfmur0SAlI9bP1KOVn+NGxgbVl3xhvfQtaGhDU0gY6ldcvF/l+zGV/EC+7fPl6nTfEY39QV1JYVOqttMA10Infu3rjpqs5pYFOdS3HQKe27Po1z2+XY6ATv3vzRonL/MNvoBMtvXGjwuVZogRkZXeErrfDv7cj1Qi9M9v6FrQefUCuq03RLmWoY+7sPwQISgcc7fLBErXy8tUNlaYDenR8HyAo66w65grkl5S3HxCUXqSOuXqQ/vl8gPyfS5eI2ciwfgZ7nzEnvO91vcd8C1SPPCDZ6WplAGKCFMDoMvNwQMdK9HuDCNKnvfTPt/az33DpC4/91V+9g1/oNcj48gWyszr2xxfb77W/BaxHHpDWd4kFsoEu0B6FRDv/h3uC7mmrytgAnD39p+ZqKFr2Z5XMtyClAUGfDkDKTuTsP3HNdZ3OAaT0xP6cEyVslA+QmqJDOUfOuweSF5AHpw/mHLpS63oOA3KvzH8n5JIfkLqLR3LyLrlml9yA1N08dfxUkddzQQlI5HcI3f97/E5xa0Xtys1v8v41XBoQ1PoBqdk70dxe2HViljNEPYDU7hlvLqx0nXzUvlt3A3Jr44AONKZPCrPf3AVIwRyzJHCHQZuZCSoDkLtpaVlnXHaDXnkAubg03JG2FV5bZj/LAFL2ibUuP2HrNfYnlYDc/Lv7aOMAhFaUvXMLoQX9kPktaGlAUGsH5OEG14Ji983WMocLkPtLO3PXCllACse5BtvwC9YLDCD733PFzLDHtQHILbwgklnoschl5QLk+CBXU/Ots5YNyD33Svr0AudnlYCg9a9OH1aLah7fteW/Bn64DiHzW9DSgKBWDsgh356o981KCgwg8a2veKPm0FONA0itPydlpcmaDUj5KG/Iq1b5CwOQhzTtJE98oc8AUuLL6H/9JH3FAuS4z2lnnu29qwYkQdKAoFYNSIyXsfUqtWpyAKnkbS8ZQq7rbUBuvMeJGU3vMyxAzvAq/c6kFOF7EKumnLUC75MDSB5vVzGdZDIB4RntJFufCxqQROnTDUhsGmeYhciudQaQW3wfkVF4ZFuAXORvv0omo98E5Cj/YONJDNmTbtftFVh92oAIykISI08KiGDb4QH68xqQROnTDchM/jgLvYqvsixAbooqaK1FNiCFou2JC/CrpgWbqJQEqXtEpnnPWoQc4N+rW4CsFrREjCMIIMJC2JQMDUii9KkGZItgnIVCH8RsQO6LfahuWoDce1MYg325CCAPxDHYL5oAUr/PLnZyh9dtE5CdwpamIwrIw+EiQMIkmUwDkih9mgG5LBxnodBuC5A4326daLYFyHhxTF/LQOdDcUy3B9ZCYbldLyvtJqfbFBBZXfobFBCJqc9IXGdIA5IofZoBETmpY/WMmoCIP61Doc5VFJA8SUzoEAVERmNohb2SfsEhhHOrTgCpk9kDLSWA1Mqqo+BqLBqQ4NV6TDxZI0PzcfkaqrIGAHJMNmSNcU0AeSD1KMwhgMTekcVMoIBMlcV0rbEAcaxweUaGBJBNspZ6E0DkBedLNCDYq1NszWnG+HO3vS2wkpp4GoofXbV4y23nhXuVCNVmrliyvZIBhA2KRWPkX2nqwmWZ1RwTT+vx2RGvdJtOZ/ApIKyRofnYLIT1h3I+ID6nTwzIaP/wYjSdAiJ3O1xAfdKlMZ3qMCCVnaRBOXYuVu0+hxCfkSEGpEpeNrIMAyI3vVqjAcFenRJrTqKeI1UtuCUz8TR0dO7d6sWLzDqaqG5l5CRCHy+rrlq6LOoAwgYdjmCdRClzV0Ui62N+E0/r8bDXR3UNjSVPEUBYI0PrceHLMxcsWNAXu7X5AOE5fRqA3JWOs9AbBJDaV6VBQwkg46QxIVJ6VOomjXG0kxUdK1y/kSEGZKu8JWJ/ICwLRDToYZsHBHt1Sqw5iUoqxK/x3D4lJp4I10j4GKE9EesyLGdV5BS6EdmLUG7krA2IK+j4vBRDF+uXPEBFkcgtn4mn9TjepxqVvvgq+RkCCGtkaD2+jH3cqnriXDovIFynTwMQxZAN3ceA5Mhj+mBAHr4sD0rDgMyUx/RmsnlLHEC8RoYYkPdVR8sojX4gBSR8tE0C4nHv3Myx5qQxqHBIpx9sTe0UQSu/N6zTU7+/9sqTv3lo/vyUp+Z2euKn5aSFQvqTABNPQyUR4w98PLKL/q90T0bkDCqIHEDoRGSvDYgrqOAo+XYPL/8ujlz1mXhaj+uMq6H4K9NJMAGENTK0HpfiBbAVKfgpLyBcp08DEFlVUaxCDIj0zsG4lceAKDwSQusxIO/KY15k96RfThOdQwxA5BbwodAOA5B7cj6Ma6w2CIjXvZNnzUljCn/xEJ1bEW+fjNDP/72q+n/+7MHDv11m/nz8a93rap6YQFowfxJg4mnoYiQbf6HGnfHNlRmR8wYb2xHaF9lhA+IKKqB35fEoQtF5c+p8Jp7O4/iDNRG6qZQAwhoZso/LOpMlZM49iN/p0wBEWDPR1CkMiMJlh5xBfFVPPFqFAemsCCpl94OcZQg5zXbbAER14sNnkAoFIFPaIiBe906eNSeNGfUu+QFsP9h+GkK/noTQC+PM19BTqQj98W3SgmPzqTLxNHQKX04VU8sqdHE/yohcNC6x5py6tTyyxwbEFXRiy0fzVhwmqas3Ijl+E0/n8fpQ6KXZJJAAwhoZso9nzyDtcgHxXh4agCj8OYkNtNz+IBQaggFZoAhaZwASV8SErrOAxE8yhJxjum0AskjR0BEDkCoFIAPbIiBe906eNSeNeeslEmkB8nsDkI7jrJ/HgCRRQBybT5WJp6H8SAZC1yOp5D8f1xBA0CeRyOodkQM2IK6gIwvWLY5EjuCHW9dE/SaezuMLBSvIyp0JCGtkyDwufrGYtAsFRO4wFQpdNQCRVokPYSNDA5DpiqDdEEBcZxDWYCctrdB53gBkgqKhmwYg8QEKQurbICBe906eNSeN2fa5g8aHFHniN8at+AvGBVXHMeZr6MnNBiC9EG7B/EmViefVFYYqzkWMEXwz8gl+7kpGVdUnkVPGfU1pcX1qpNgAxB+EKmpQbE8EbzE4taySY+LpMvScGJqHvxFAWCND5vHo4bRHUECk1h+GatQWbKE9EEBOQy6x6txbbmNHGUKcrU4GIMnydrrF8SzWNAUgtW0QEK975xaONSeNQSlPt++3P/XJH2Ssf/ynR9d/7T/3oY4/yaavzfl8xwKU9Ew6bqGO/qTKxDMjEoksiRdHNuOrJ5J4sZ1M4EbIfUp9ypKYAYg/iKgcP3FrBZ5P85l4Wo+v44ur9cTskALCGhnaj9HJkAkGFBCFy21fgEdhqBRwifVSDQaElwzP6C3vnnTG6DMtzd5VpQZkOlko3CTno1+sDQLSQrIusWrmpuAJqlvo/LH47eLi4tTIAZJMVGBcatmXWGxQBb6NuRU5jipWkLORz8TTerwUT3rNeom0RhcKWbND8zGK9+tcQw8CBWSKfKQtROpLrEEIcJM+HAGmeaf5ijZEmXNIlrWFygBkoryhQwSQc3JARrXFe5AWkr1Q+EmkOPrRWvQgEiEb8rZG8KbU2MX5h9hUEyaoZu656L1N2+IPls1ZZGiDz8TTerzn1VOxIy/T4UMBYc0Ozccox7gfoOIA4nf6NABRLLidxoDck8dkEkBOyoP2IMBCYZa/qknMscJNyzV3yhuAyD3ge0YJIDFfTV6XUjQgCZMNSH3GstW7K1F8y0fGvceprZHIgix0cNkmfP3sAMIGpS9N2XQmjvbS67HVPhNP6/HV9zv2mmDeqIqTFWMxayu3DxCe06cByE3pSHsnTlbSxSnqhnpHCSB10vuLrg8JIA/kQdWcsj+xEw4hZpUIAxD50uUORLN506SAZGpAEqZPcTZvkmykZdJ097myGLw4iVNNBNsSqXDuLE5WnCkLWsStixU/7U1cNACRntT64p2IGJCaZBkgFRqQhOlTDIjsszgpTgE5I4mZiBvCgMjuVHrjiyMMiNgULhTqckdQOK7Qc6OOU03GShoi28DIjkJZPm+KTlZMnD7FgMT7iUca3uFEsnkHCEPeInfOZD+IZMxiBza6YWqJOAjnnvErK96wAdmL6z9gQArE7dAVWLonfakYkGsakMTpUwwIuiIcaWSlhgByVhTSje5nIoDcEmagEwc2CkhtX1EQMZ0WlB4tt3N7cVEfsh9EuFQ4g96oUECqRRaFYbyVXgOSKH2aAUFpgpG2msTQHYXL+SGvnqEN0S23oqu1lTSIFm24Kdh79QEp0CCqzVt1gLnIIoBUCBLEJpomCGbZn3tj+XxMxhd9GpBE6VMNiGCqdz2NoYDEuPuq3rJKwZlVTfimulZKp1n2p5A7svvRRQ5h8eqolZi1P27uST/LPWGlWNN4VuG4+1yjz3Fkl4MGJFH6dAOCMvxjrVueGWNWNamf7B+ME+3ih1ZdrL3+oG62k49VOK60vz9qprm+Kanufs30Uy+1qpqc8Z+LujnOBHbp0br1fj5m0N+gBiRR+pQDgoq9k71T7ALmVl2s+A7PePzjEachu7JisTd9fo7zm7FLj9av8zT1lkWj1P6gmuadFDg+6d4SpvOYPwNTvPqc11N6u3kZpgFJlD7tgKD4Iaa4SefZTCkRp/TovcXMiWb0AXYPk1ObN57DzHh1TbnOBDHFq+8sYcqPDkhzvNOk/iDx69gL9whTevToEKeZ15eWsMGs/UE8P+LQMXCDDb8GJFH61ANiqCx9/uB+/fqNW33UZc/BVnevP7J6rBEyfHGGp6Cby/7g5vbZRkMDp6467jINdNsfxAo2TErq12/QnO1X2RiFgU70+rFDpa7q7iW7I4OMLk1ff9JTDt5joFN5bOOCadOmpaSeYd6dBiRRehQAEahNO0wlSo88IDlH8pU6mKGOyc/aCwhKBxwtF3K07CMFah05rm4oJxNwtPT96pjD6YCGsrIhRzukjjlicq0BaW7l5B1Wan+6OuZwRhYgKB1wtJwMQEOZBy4qdQHS7WzI0dJz1DGgX1JmJuRo+9Uxebn0z6cBaW59Si+xcgGXWDF9idX80oCgRwiQG3sWTh8zbtGOS848FgtI9ckdKxcuWvPJ6RrPz7GAlB/csmze0g3ZRZ5bazcgdw/vXJWSsjrzovtu3wCk9tzJIqmPoQuQ2jNpaxcsXrM1v8odowFJlNoOIKWrnToofbZaDDiAnFtoz6cOSDntKmdlAxI/OsMOGvrRJTaGASR2aJYzNbucrdBrAEJS4PNldswOIDdWONUbZuaxU3QakESprQBS4inN8Lp5sWMBcm++J+PpFPPDFiBXPckfs4qdGAeQM57CobNdRRvMfYZn3KcWVhYgDzwVepNzHGo1IIlS2wAk/rF/Q+BqMtwshyn/BqVFTl9NQA74YsIbbLN0C5D6Df6ozRYNBiCWP8Jex/fZIxOQ4pG+dqbbC4oakESpTQBSyTXRWYZfooBcHuof1eFk++KIApLDiQlPtMa5CUhthBc1x7yFwDsK7R0iFwR+0RSQS7wuDbFqJ2tAEqW2AEj5H3l8hEidIQJIhWCD61GzAQLIeX7McDO5hQISm8OPmkwJwbNYh21CDj3k9psAUurzgKYycxo1IIlSGwDk3tt8PkJd75mALOIPxnDYfE8YkIeiQiPDaNYWBURonTaDXGVhQO4423Cz7/p7TQGJTRc1RLMjNSCJ0qMPSJ24uMNiCsgl0WAMh+nNBwZkuzBmBJmSIoBcEbe0CQeRdRCm2EnadU6/MSC54oaKcIwGJFF69AGJCPkIdakjgCwWj0bimIkBqZO4Bs63t9zOFQcRd1oCyMMshpBL/n7julijxO2MxjPUGpDg1Xo8CuUKGJCDYj5CoTwMSI2sVDTZvWsAki+JCeP6QRgQyQkkHJ4St1bSbzCApLlXXLAMQM7KGsLnIg0IUD4rQqGkHoWstaChSmpqUTH3vfH4E9QEhBdUOOKVnnRnkd+j0HnNapABRBCIbEB4bodOlziA+HwMCSB10tJxizAgp2WjkVzRGIB8JItJrqGAcGZ4GZ2yU00KWEKOeyezDEA4WwkZlWpAwPJbEQol8yhkrQUf7h3bIRk/OPtKCs2JMAHhBXXp0Of3of643Jnfo9B6zW6QBYQXSGUCwnM7dLrkBYTnY0gA4W82t5SMAflEOhpxRVQDEO7+cFt7KCBya8EFNiDR/Swhx6LufhuATJI2tEEDApbfilAoiUchay147OUxSaExxoPbnYebZ38KCC+opkc5vobBo9XnUWi9ZjeIGEB4geZLFBCe2yHTJQ8gXB9DDEhMbrPzDgZE/nGNq1AZgAyWxoyMYUBUzmnVdrJiJXsbknbETUhGaay/tJ3BdRoQmTxmhqMZo8LorKHP/K7eGGSDOv/bVvM/AI9C1lqw9DKaE5qEsL2fVbSAAsILuoltaXuEMBs+j0LrNbtBxADCCzRfooDw3A6ZLnkA4foYYkDypXxQj0K55zK+5M+6HFOM/fMYkAuKoHwnm5c1+vQSklFaqWxIAyKWz8yQMSp8uArVfu0TdOnn2MXQ/A/Ao5C1FkS4oO1M4yLqD6Ga2APyfwoILyheZ1zld3wRL3j5PAqZ10gslg2IIBCLAsJzO2S65L8H8fsYxlS1eUOhtzEgq+WjcSwGJK7wnd2EAZGVC8VKZdLdL7kIOcbeh6g9CtdpQCTymRkyRoXoxvyJTy9CI6mLIf0PUnsUstaCCI+qDxE6EXpt9yuhEc5NOi8I63SIFF73eRQyr9mxNiCCQCwKCM/tkOkSDxDvJSQGpI8ckMEYkC2K4ViuvsQKT8GA5CkaWszuBznlIuQEM5elPoNM14BI5DMzZIwKs58qRu0XoDeJi6H5H6T2KGStBZE5nveG/rBgZ9fQGmQBwgsyFB/9LsnD9nkUMq/5AREEYlFAeG6HTJeAgFTJ+TAu3QxAuDlWjE6qb9LDSXHAGWQ2CwhrH2LojNNv5T1IeJAGRCKfmSFjVNj/eVT09floO3ExNP+j8ihEHjtBczznhHrGjc/uZGQBwgsytLsnbcrnUci85gdEEIhFAeG5HTJdAgJSqABkFwakWDGuszEgiuuw8H2a4TtNAAAgAElEQVQDkIuKmJmuHYXRQy5CiuwXlLNY4XBUAyKW18xwNWNUePArP9vw8w7X0KL/84t395v/UXkUIre1IDLH8zl8eVPIAMILQuj8W2a2hM+jkHnND4ggEIsCwnM7ZLoEBOSEApASDEiMlzfLaCcG5KBiyJYCZrHmurfc1uW5CLllPW8AIl11MVSjAWmiit+4DQskgLDWgsgczzWd34ij86GlyAKEF4SuvWWZHPs8CpnX/IAIArEoIDy3Q6ZLQECOyfnoR3Ox1gAAeaAYsmV4HWS0PGaNZ096rWs5JMv63RiASNfttYlnACr/8NewQLpQyFoL4iUHfGWzPLQfLeiM71XMhUJOUHnPF181hCeNfR6FzGszrGspZ6GQH4hlLhTynD6dLvkB8fsYGoAIzQ+o0iggRfLhmEWSFSUJW1gP1Svp4Qxv0YbaAywhOebmKwMQWeaXoZH6HqSpShmeAQukgLDWguvHdwx1HJ+B4qv79BlBigeagHCCFtI/S19kAcLE2K9ZDSIWEF4glQkIz+nT6ZIXEJ6PoQFI2QsyPl6vM9PdZ0uHI7lJl6X8GhpOVtIVpBX7qpq4r7KOOv4gch/oBRqQhOkRT1bsLgMEp6IQQOR313fphqkFsphFNJtXuIsDa2TcX/anznWnTq80MSB3pNPKGRqQhOkRB2SqhI+h+AObbrmVzVFNNncUlsiG7AEKyClZzC5eXazocZYQ8scgOwp3yVoq14AkTI84IEfFfHQjFRAoINWS/RcZ1p70LHHMYMsGWnKnMqyKWzgufo4BhBSeJ4DUTxa3tFAnKyZOjzggccF2dEP5JMisanJNONU7tNoCJC5O2tpqbbm9N1wYk4kElRWLGULwgWjRhtuCTelhfC+jAUmYHnFAxKeQLBpk1cU6IxqN+5Bd9qdOdDM/otquaiK8l5+D58b5pUfLbKPPtKxau+yPoEgEyXbXgCRMjzogonRFyxnKrqx4ln8OWYgveqzCcbWCG3W8m9aqiyW4DRlH9u4KavM6Rp9pF5zCcQX8ud7puPyDBiRReuQBifJMPN+6YAU5pUdv8XyXp5EcY7v0aHQjb8gewy/ZlRUv8q6yJhLrTWHx6ph9I5IVc0qPXuEtPE4mJSI0IInSIw8Iqpvh42O2UwqaKV5d4x/9KTQHnylefcp3Oz/sJHnBKT16z18ba5mZyy+u7l6WYxJSztTmrV7pa2khbUkDkig9+oAglNkjFGJWDEew5aRd9ge3lrqHfq6ZhM5Wd6/b464yt9j8BbLV3Y+Nc4WMPWm9ILE/iJonkWuu6u5FH7paGmFtGIMDcmzEmN8WCY/aZGlA0KcfEFSzyzb67LvUXYrK4w9StnOaNRinZ9uFD93+IPXHUgaaMUPX24WpXfYHsYJl1krfgIWMB6HUH6TqdKYByH2PP8iVLfZO9zkH7YrXYECqn61HKT+THLWJ0oCgRwAQQxXH9ny8Zc+JO94gv4HOw8JD6Zl7z7AGBT4DnfriQxkZ6cdvMk95DXRiN0/mZmYcvubaTasw0KkvuXKXY6BTdiYnM+vgBdZVBAzIyu4IXW8H+LU3UhoQ9GgAItKj7jA1rB9C8c+cBxy2cXrkAdmbkalURro6JjMd0BAoKD2oo2Wk5wJ0NLCjQRoK7L3to3++LR5AHv+zf/qnZPbv22uQ8eULp/x/+ID0yANyoOiWUmfT1TG3cvIAQemF6pj8LEBDe4+qY66n31frEqChW5kF6phLkF/SgVxAUPp5dUyhuY6T9hd9XHruXw8fvsb+fQfgJOk/FXqRNFmPPCCP8CUWyCf9+jH3/6PVXoNC5L/Eqqn2+0P5LrGqq/3+H95LLO7RcG1eXz1Sj6xLrLS/dM8C//hXnsDI7xC6//cCJ5IApAFBbQeQa7tmDu4XDg+evemMu5QbA0jd8ZXj+ofDH4xenObes8kCUpu3YvwH4XD/cYs8PlIsIFd3zcOL94OnrM+vcwVllMb2Zp6RG32CAbn5d/fRxgG+nw9MGhDUVgA5MZUZaEO2cWexqrex6R+z8pkPemahcCMbNO8005ADyHl2gWPIpnImKKO0Hi+pF8nOImBA0PpXpw+r9T4ZnDQgqG0AUrnQPdLCg3c5l1EWIKe8JjqTiuwYG5A8b1LXTGflxQKkerknJvyxc61lXGKRTSICAyoiOCDNLA0IahOA3PI7Zoan2NdQJiBp/pjwNutizAQkxitIkmWdDExASsf6Y8bZGBmA3CeL6tm2Z6dPGpBESQOCv97mbuMYaqU0UkB282LC88yPfgpIfBU3aKWJEQWknHu0IdYvEK+DnKV5J5dEl1kakERJA2J8qZ3AHdbhsFnvkABSIIiZQQmhgOwRBC2i80gEkFpRWTjzag8DYhkk5HusESxpQBIlDYjxJVUwYsNDSAkVauIp3Cs4lwxiAsg1UUyYVgsngIhrAdMzFllJt9yiD3LmgZEGJHHSgBiXPMIRGx5leRSiHeKgVBxDAOGapFMdxEEYkFJxzHDy66GpJletalkPeN3WgCRKGhB5ESpS+xSbeMrqk2J3OAzIZUnMMGz5jAGR+fXgopFWLpZV/j27gtNtDUgjFb94DkWP3eS91OZMPKGAxJL5o5UKX/YYgJyUxUyKUUCkXlWrEAGkXlo0EWcVmoDEDluEcBJFNCACqUw7N389Gc3+fCrnFamJpyOPUyeRA0g8ffzwudd8j+NlFRwTT2Sad1bN7d1jLP0jU0DkQRwTT+TYgMZvkeFDAeHF1Kzo0y2pAP+XB4jP6dMARF7dfRYigKyTBh2kgHDmihndIoAIazEQYaMhK5u31tpk6NS1tqUBEUhp2tkjGaFv8gCRmng6Yr0zLTmApPcvrRw+7J7ncc248D6Oiadp3hkf+kZFxes9SToFBUQexDHxdGxAq3uHtuPvFBBezOzed6ORzngd3AcIz+nTAGSvdMiGLxNApkpjJhNA7sgb2kgA4U8W27rCpLs/sKudXPf0WgMiksi0M15wzvhj70fotWSEnuICIjHxZNphvDNt2YDER0QQWhXe63m8eXx4v9/E0zLvPI39oZaGSBsEEEWQ38STsQFd3Ce0G38ngPBian9vfAhfIY6gXkC4Tp8GIB/Lh+x6gIln+CoG5Jw8ZlgMA6JwRPyY3Q9yxy52cs3TbQ0II49pZ2HhkE4/sBw6Zz6zqMvjT6eiVV+chg5973kTkEinJ35ajtDeYTM6jIkCTDwdsd6ZtmxAroTX4AKDy9yPr6/6yLjG8Jl4WuadO0MrEdoWwk6dFBBFkN/E07EBLZz+IS7JbgLCi6kI9ShFRzviLA0vIFynTwMQ/tqereFx7FEojwlvx4AcVgQVYkDmyWPGujZM3bYJKXZ3WwPiyGvaWfgLxqETPdWhMj7/c5fQ89MQmmYB0r2u5okJ6MLXa1H1P08FmHg68jh1UtmA5OPLhOPhea7H8Tl3Pwof8Zt4ItO8c1toHEKLQhPwEwQQRZDfxNMKQvHksg9pxTcCCDfm7VDnTe+RBWvOPYjf6dMAxF86xK3bAJfbWRgQlclOOgbEX/LELfee9Bs2IVdc3daAOPKado5yOXQ+t9Z4/E/riFHhrOedS6w/vo3G4V/WEGxLqDLxdOQ11ySyAdmPPZFPkztJ5/Hxreij8HGuiScxzjkdenH32bdC0/ETBBBFkN/E0wpCOcvRh6Ec/H8CCDem+LVQ6A+rcYoGFxDvdaYBiMInPZyPL7EGyWMGYY/CY4qGVmFAvEmRXl1wb7m9YhNyle22BsSR17TzLZdD53PrjP/8r2uo/USEJjOAJL2Nhj5rvDQd/8ZUJp6OPOaaVDYg2XhB+BI9g1iP4x9WGYDkc008yZCNTwuF+o4PrcBPEEAUQX4TTztoSKUBSC7+PwGEayt6uu/SzrSwKBQQUXqIpUwMiMo18IEBiNxCxLRgW6sIOuTZk15kE8JOYGpAHHlNO7exDp3oOeOufV0yQl1fRBXP/jdC3Y371ic3G4D0Qvv/xDhPvLwZYOLpyGOuSWUAcm6soZLDeN2sKEzGuvX43Ef3768IH3jAM/GkQzZeeKR2ZOgIfoIAogjym3haQcc/rKiYGtpNnN3PCmLuds5EpQNC4xEcEKlnQdi0YFNdh2ELNpVNGzHxzFYE5XiLNlyyCWF2aGlAHHlNO+tSnm7fz3LoRM9981d9txgXFDlf/d6AMV/ekvrk9zPmfL5jAUp6Jh0t/9H4yAYEMPF05HHqpDIAwZ97w+NnwnNwmWcybWQ9TqF/mSkcE0/Hm7C262skYYkAogjym3haQWNpYQLjFooCwotJD5XjC7bRCA5ItWLI7sKA5CqCiEfhOHkMsYFWeeoe8FU1uWiXJXVm3zUgUJFLrCbIA4jtncnKvsSq6j8kjjLDxehIRsx6fOXMmTPzwtuL/CaezNjfSe8cKCCKIL+JpxV08ejRoyNCK3GKLQGEF5MTuohQSQjfmUEBkWVQYREbaJWDLb7EQpvlMUsxIDGxQQJRgb/sj01Itr3NUQMCVcCA2H6ZrJyFwhXh0/WTp8TvhsPnrMf46QX/f3tnAl7FcSd4drI7s9+3yfdNvHGy2cxkk91k43GS3W9m7HzJZpLdiTPJ5HLc4GADBoxtGdsYH20hsLjE7QOMMTwOSWBOAcbcEEB+erqFBDrAQuKQJWQQQugEofu9rm+rqqu663VXV5cOHoNU/++DV6/f/1X1k+qnV91dXT/YiVwST2DJO8N5T5CzZuaFQnESR+LJaEAXaYfRg3mhkJPT/szc2+E1z6M7ujmAuE2fCJBT4i57Dk9WFB9c44N0wWReHEfxXCyfyy7XOetiWaOsXHqToQJENh7aObj3OwGhvkw2bEB6dy14e2sbiKx79zYtw86a/IY+a49L4mnJO3fGJdLFaU1AxEkciaelAT2+aLT2JDpHYALCy7myaPLLq9BuuQHhmT4RIH3OO2mj4xYGRHwVMGDO5v1AmHTObzYvDPi1zFk47jIlpIjcH6IAkYwtXx7zqX+WINRkRfhfrqjLriA3TAkHYhkmIEKK3uw27wcRCRH17fyVFesoIWXml7sCJFahAIH/RUQzrTIJIPWift1C7ijcKMhJIzdM3RLNnL/osfTodUqIOTdTARKrUICg/695z0G3HYWCE7RbLEehYOr8NXpPumBKCjrS4q/N20JnLuKTvQqQWIUCBD+UeHZZ5N4kq5q41uqxosFa1eSSZw46sUZWNeF6qnAgdYnH4tW3yez3bHQCQgESq1CAmI9eXw+r0QlkAkjfOo8k1BBdF8vr62EZOgFFAAl/6JG0H73qtbp7zymTkFOGAiR2oQAhhZPcHrsE7zBdOK53CzdpKzpwthaO48/Imofv8qQLx0X4k96T8TkqT/1BpMIkpEYBErtQgNDSJc7J3iXmtWtr6VGDN29rm72qCY7LLo2hri8w74K2lh41QpyKUsy1HAV+kKvmFfVOBUjMQgFiFTtc51+3ketyzOLVdR84k8juMotXd7nmB6eQnzKzeHXdKmdSOrk8KxLo3MLrZVUqQGIWChDmybW0mUxnW2G1weoPjLLVbI/cSntzlP6gPo29A/Fd60fDru5ulEWxtsVaZ1RomMKuz0xDARKrUIBEPb19esvSN2BHe3P1EeYePocfpCEzZS7qjbM3ZrdZGx1+kO6itCXxMCdx5UHmVieHH6QxPRWv87BgQzbzg/FRsN06E8xVgMQsFCDubV2dndGT0TiOwkhnZ/Ti6xxHYdiZw3MU9nQ6bTy+jsJwRA2xYhYyCrYLIQlxmJyCTaK1s0OnYJOoqOLUVf8oGjIFW4FEUsYl/5zqIvPXpwC505GdmeUboQz/nKxQSCIpY6hay5BoTXK3T/lH1qkhai1DKknih5RJJJ4KkDsdI32IJaWBLq7yz7k7GmgFyJ0OBYhEkhuQ66cOHwoVsSseOgAJXy3NzSw87/jpcgC5eTZ48GhONaM5cAISvlxwbP+J4qitCpBYhQJEIikaEOP0iilES/7semutERaQcNnGWaTHLt3LrtfjBOTq1umkpgkrrU8UBUh3+pLxJGXqh/ayDQqQWIUCRCKJBSTyyUsaG++Q7mwDYpxaHNVp19RYb44GpGJeVE0LyJUQBpDOPZOjUlbRld4VILEKBYhEEgNI1euaIyabH9wCpG2D7oy91PPMAtK6zFnTUyX4BRuQs886UyblkTcrQGIUChCJJAsQ4yNnj0WBd5gC8jnvjpDl5C8/A0jh05yaMCEUEGMrr7GD+DUFSKxCASKRRAEJv8frspqG1lkhgNTO5fCh64vMWY82INu5FU1GcxoJIOHl/Mbwik0KkFiFAkQiiQASfovfZbVnOyggt7wW9VmKXW4UECPVoya0SqQJiLHKI0VD8hMFSKxCASKRRABZ59VlNXrLreF1S5Wup6IaKCCbPGs6RwHZ75nyYq8CJHahAJFIMgEJeXZZbfxtExDR8tWIDQLICe+a3ieAXPJOQYchCpBYhQJEIgkD0jRJ0GeDGBBjiQCQpD4KyGVBRRPCGBAjXpDzXFgBMvAwj/D4xs7oHBx3CRBWdgijsxqAtuNmVPQLEEFFUpM/5AHxOGY2YxkGpELAh64XEEAios6vXcaA5IpStLKRCIhYz8m8iooRw51y7J+/sOIGuPQ6eolj7Pz9T+EL7XFf+fJTt0DmO9ZmCxCjZMemg2T98PqDKRvTO2Ez4Qj6x5d41qxPnLu9HYCr6xMXftRuA2JcLsgpISD0nc/POdMNt8EdRv8sQFjZYXdJ6oy1gK7qPKPCLfGkZVvQaQEiqIi5dOemiO42BxCX6BMDUiXsslMwIOIl4JcTQNKFNRVgQGYIc1JGIiBiPSfzKirGLeDkBL4OQMc/mesbu4ydfx73wjYAds+9dfrrMwCYm0a3W4CUrGvr3LQRn2sBBzYfTg0cAeB0AMWnfInn2gXJs9Gh5+z4ZW/oK8MWIJczOntzsntwuTi3pyc3L0IkF1csQFjZ4fmZKe/rKQDUzUrbu3fv2/s4Ek9atgWdFBBRRfYQi0MR3W0nIDzRJwbE4wwvjQ4IiCFaEQ5GMwakN05Y0QkEiGgQBiNhJALiped0vYqKDTy5fPI3AVi4zCw7jZ09/3Cl6Yft4FgvZOdROJ7+H53kBQqIsXk/AJ8EzJHZjh7QvnYjAGXrU2FU8SWey7pAa/wc0Du/DZTr+mUKiJFbAgcupg+pNXgBHm4G60FtKCs7K6vBAoSVHbZeAx/pm9H9rvBJ18KbboknLTOCTgqIqCILEB5FdLcdgHBFnwiQjifFffY6BES86q6uF2JABMf6KI4hQHaLc54aKYA49Jzxo/Tmy7+Oa8abQcWKRVP6SA569ZKp7UTFVeMCIECSbVMnBMT4W9gLeMbO5Uvgn/w3caNjEGv/ex/ZBQpIQwB2p7LAcVQOo8tVKekAlJtzH7gSz74a2PMSt4MmVNN8/QIF5GawAonD8IrBV9FCmVcgJVfJLXkUEFZ2CGMPWpazFb3lyD6OxJOWGUEnBURUkQUIjyK62w5AuKJPBEiOuMtq9RCQSh9A9mJA5okrykaA+ORofSMDEKeeEzySBMArPebm7m80g7l/P/kQfoJepdpOWDQenUeTbVMnAqRu1DXAM3Y2/D3sVeEfoyF99S/hMQF4fAbZBwpIVSAb/WdOZABGd1EoAgExOz1X4gmTOo/vDgMDQtyXEN9NAWlA3xoNQXwn65XgGQAuBs+Cq+QGbwoIKzsEqF8TPULbm60ciadVtgWdFBBRRRYgPIrobruPQdyiTwRIwKfLtkpYblMQIO0+FVUiQEQnzFB0jQxAnHpOcPi/9DasI5uLvgYPGR4mT/CrRNuJishEaCbbpk4EyJkvRETGThjtf8QrNMVPIc8pIOcC8LunNvCx+QwefGzIMMDZg7vWbzttH6RHd8d0XZ+5Ey08CKr1g9ZBeh0CpCmIf4GtwYy6trzgOXClpDCUX2MfpLOyQ8D06507eBJPq2wLOikgooosQLwoQrvNA8R1ggMCIjzzpGljIxKW2w8QIAU+fb8DAtLlkzM6MjIAceo5QeQ7OwO3yeYr/+EMeGEpzYGvUm0nBcRMtk2dCJDroxpFxk449H7ZHOxMTCQbKCBnAiHYuQOHzGcNdScDgXOgOPmjTYFAMVfiCYcjVUeQMQz+NU5+p88C5PNgJSLDXAuhPBg8eTZYBS5nFuUEg5chIG7ZIbC7bH18PU/iaZVtQWf+ef+KLEA8KMK7LQvIRHGX1dFZrDIZQPiTsKx4HV0obPYBZMoIOQZx6jkB+ODhAN0Mdv5i5ccGfQJfpdpOlIhUnWaybepEZ7GMLxUCgbEThF8qaGxshEfqP95EthTevLINRuuFwAnYrwLp1s4dC2SB1m4Q+STwEVfiiWOzvgf+f3JhK7oO0pwPo6M+WA5HOMFyM+FWU6Q02AQ6eoFxLlgEAXHLDoHdZVPWAZ7Ek5YZQWf+ef+KICBCivBuSwJijBZ32VQESI0PIMkIEOHlFE1LkwFk/ggBxKXnBLf++nO6GYz7wtf/6//cR57AV/OIthMW9z7wkxAwk21T58Gf/cWShrgPgcDYCaaPQlEAwn9DJVKFN0OBQOBDozZwAA2xcHdpRYOY0wHzK6E5cIAr8byBBlfpOvxzXrsYXT4pKqsMBoM5RlOwBA2xrDsoItk55kWb2/AFOsRiZYfA6rKXdHRSwC3xpGVG0EmHWKKKICAiiszdlgQk4tNlzyJA/GygHyNA5osrqkOAdPu0tnOEACKM6t8Vt1fP+F4/3/Xpv0qlHZpGS3SI1b0uFZ3Fug4ulhr56KAlY0NbK3q8HijjSjwPIV/5zpmNoGExvgRHh1i9GYiZ4E1QX4vBuBpsAB0o42bwc/tCISs7RKdg0V93471EdGORW+JJy4yg07pQKKjIGmJxKSK7LTvEEp/ljYvgC4XLxYDkI0DmCCtC17fgQTrvXhEmLilAAFgwG/538qf9fds7hySSOp+xdKnWhcL0QG14125wOxC4UrGxzqjdUAmhuRC+ue+IwZV4Fs75LFIxswi0LYyfA+N960JhebApUlgIuoNB+PfeaAhVo65aH+ksLmOupLOyw/RNCXrCplNwCI+6Pk/iScqMoNMCRFCRfaGQQxHdbTcgbtEnAuQVYY/da87mPSoGpBEBslRYEbqzBAKyUJg0zVCAALDlSfjfGx/3+33bOLNQnPGJPRnLAqQvtCXtRDswDu7qatm1ftufUUrG5tR9lQZf4nl9ecKSTXBAsM/8zbxtARKpzD1Z3g2MksJeUJ1XjK+FV+RmFV8zfCYrRiL4lBhH4knNoragUzhZkVRkA8KhiO62ExCe6BMBslLUYyd3moA0CPkwp5p43QmCYwVqDQJyUAjIMTWbF4ax8M21yw7e8WbUbF6JJAhIpqjHngDkfhCRohCOsBAgooom4wkSEJBGUWtx6n6QGIYCRCIJAtI53rvHJlkCnWsCPhaa091bBV3f7PVosuK7gqxCoACJXShAJJLQZEXvoVEc/hGac4cFRyFngDmbd7FnRbvN1hAgV7z5wNc7FSCxCgWIRBICpG2yR4edZK4MZwISWc2nQzevwiBAKrx6fior0NnplZWAZgopQGIWChCJJHzDVB6/w065aOaQu0/a3+LzsQovjYXvB1nFryiNnl3BgIQ9Tge/Zv6+FCCxCgWIRJJ5Tzp3TaxX6kkOvT3rFvdiyGrz9gIMSNernHomZlmtmYs2dCTwmptNfl0KkFiFAkQiiaxq8rG7w67toDnW/YvdOzjjK7K0onlPevPrrnpm1dmtkXWxut52N7eVrnGtAIlVKEAkkujCceemRvfXBGaeNHMHfOXS6F67qJy+QlY16f6AqeQxTZuazl68slZW/MRxQX1WtZUjA0hp0uI/1KBCJOm79z9xmz4MbShAgALEXnq094g9PBr/fjmbwy4RESlZa/fZ90/aijVrZcUK5lzWvJwwWxGzNm/noel2cyvOMDkSgHQ+3AdSH0Gl0lk9Td9bRh+GNhQgQAEStbr75WNrli5avHLvme7oHMcaKu2lhzYlr9t4pDTq5mhmbd6WjORFi+a/l1bUDhwRpT+4eiJ1adLC93aX9UTlSACy/WkA6kahH3gxPAB6eTV9GNpQgAAFyL1pmJobD0dpf0HOsd2ceJN5GMIY9oDk5p/0jdwM/5yToUyJpAyJ1nJkWsvMlmlNIic7JNPaqVL/KJGpSOqHlOefk59v/vpOOAD5h2/Exe0xX3oBLUHwJXyUFHllzKM51sOQxrAHJK/4jG8UhvxzzmRmSyRlSLSWL9Vann9OWUaZf1KuTGuhklrfqMqRqCgrSyIp45R/TjH54gt9eUlU/PR7y5YdBeD1++779ivT4et/Re/72fIf25mHoYthD4gaYkkkcTzpruiU+ds85EOs7K8EouIxzUoJ/BGAW19D85pRfTWjmsmDxB70IxQgQAEyAECMy8dWzo+PX5R8oond7AKk7tiGRfHxSRuCN+xtDkDaslKWwZRV+y8y54IlAKn/6i2wdyYA25pevg5AcjwgD0MbChCgAOk3IDd3MRdMEjPsjh0NSPuBacw1cms1ZRaQSCFz71TcHuvHJwEI2DNp5dwe0P3N4wf/ZdaajwAgD0MbChCgAOknIOGPJ0Rf4HvV6vssID3bn4pOW0rOCDOAlDluZJx8lMAmA0hMQgECFCD9A6RhpuaKTeRSIANI+YuurCnmWt0WIJ2r3DWZpioFSMxCASKR1B9Aap5z92pNW2heVrQB2cvLmoxXNKaANE7n5cRjQhQgsQoFiERSPwCp9ViQJAl/h1iOwg38rJfQpF8CyA2PVeDnoJoUILEKBYhEkjwgN6fye7Wm4XUgCCDGWq+sjcCa7j7NKwctXq8AiVUoQCSS5AHhTFGngY7UCSD7vLOaCCDGEu+cOgVI7EIBIpEkDUipd6/WpocpIOcFWWkEkOOCnJUjDpDbocG826i6wDy7NxyFgriXARGuAZ9DAOl9SS883s8AACAASURBVJA0zQSkw+sOeBw3RxQgkWuNL4xybAEg+LO0+vSorft++o+TR/MqOPDdeehhsI5CxuNH/H1UQxgNCC8RMIAItJpttsSTIzIEoOd84Zm+z7wdhdVJE+LW4h0WSTxh3Nrz7sYuGxBeEvlsJiBsYzDaK/BD67rXluFzRhxAXCJDBMg5Ua/WZhNA9gizWjAgYsXUiREFyIRZoHqUcwvYeSVuYtQdB1mPG20pP+fWMGUefhico5D1+BF/H9UQRgPCSwQMIAKt5k0LEJ7IELRlXQhb3yA8R+FTj08brc1AzYkknrDzJ+7rZr9BeEnks5mAsI115Sx5HP9Az09IJaI6JyA8kSECxPPY24wmDEiH2KRQhgAJTxHmvDuiANGWg5pRzi3ueC0egK0/59aAbCFgsI5CxuNH/X1UQxgFCC8RlS1HoUCraUs8eSLDriwsFfF2FHZPaQZFWpSjkNcaaElch75GhY5C+tkwIGxjpU8uTtAWw8KN8fPpHBEHIFyRIQJErOfUQhiQI+KkIAKkRJzz0rAHxCEnzBiV/Zv7R7cB0zfICAnJFviOsz/83thKBIi5Zd+P5z/19TBJgoAM2lHIevyov49qCKMA4SWisiXQEWg1LUC4IsPyID428nYU1qPeP0VDDYkknmCbju+CEDoK6WfDgLCNNV6GXwRoCLqCLHQIXIBwRYYQkMbHxP06FQPi46rCEs9kcc7jxjAHxCknrBm1CzR9bwbxDTJCQroFxvMJ+BuEbnnih/mrqbUQAjJoRyHr8aP+PqohjAKEn2gDItJqWoDwRIbhUDCMKvR2FBrw+6937Bg/iWf3DL030skAwkuinw0DwjYGYx1avbDrT1p3hCxx4D4GcYsMISBnxN1aW4IAueGT9AkC5HWfpO5hDohTTlgzCn6ZL/019Q3aQkLGQEgAoVueeQNY1kJ7iDVwR6HD44f9fVRDGAUIP9EGRKTVtADhiQxbgjl1WcHSPoGjEKB1CfEVN5HE85KeVJCor7cP0vm7ZH42DAjbAECArIFf2dozJyZoSR4H6W6JCAQky6dbv4kA8bFAw6+tUKMx1iepZ5gD4pQT4oP0JQnUN2gLCRkDIQGEbkFQUGuhDcjAHYUOjx/291ENYRQg/EQbEJFW0/akc0SG14OhC1ezg9UCRyFsbtGreIkpkcSzRJ+xN3+OftzHUWh+NgwI2xgggORof0o+NlHbiTZIAhL06dazECCbfJLqICC3fHLGDvdjEKecsGJUE7j9mxvEN8gICekWGM/Bg/TNP7O2IEshtRbC8iAchVyPH/b34dis7yGAiBOLyvy1mhAQb5FhQzAPfbWUeDsKYfFEnPlZRBLPMn2hAb811vo5CvFnw4CwjQECSJ4WZ8CvlnlogyQgfi71BQiQt8Q5kwwIiNB+AGP6cAfEKSfM++2D4+Y3Ud8gKyQkWwD48/cfOlzyh69uJVsOPfDjnaDITILl0CAchTyPn+nvoxpCAoh3IoqiMn+tJgTEW2R4E4242ikgPEchPFSZSlYgFEk8L6PBVJ2+TugopJ8NA8I2BgggF9CIq7pfgHzq06/XIkDmiXOWowuFIkUCihXDHZA7FwN2FEZ5/Ii/j2oIo4ZYvEQUdIgl0mpaQyyeyDCclYtOb13ydhSCq1Pp2oIiiWdP4gID1OqHhI5C+tkwIGxjgADSPf45A1zU0FkxWUD8+vVRCUAKECDhx8VJ6QqQAceAHYWMx4/6+6iGMPpCIScRbbYuFAq0mvZUE47IEFQFb4ALmd3ejsLmuDGTYMCDMbHE87B+Bux986bQUUg/m3mhkG0MXRFBg62tsLMmj8eHb25A3CJDdB3EfQ9UVNQiQATTGWE8E8ZTTXwqGllTTYY4BuooZDx+1N9HNYTRgHAS0WYLEIFW0waEJzI0qgsKSm8LHIUpZvdAy9kIJZ7GsWXL1l8XOwrpZzMBYRvbs2ysNnZZCBhp06Yl4UuZLkB4IkMEyEZht56Gp5psFuagM4IQEKEREYniFSCxithMViRazeE+WbFK2K/3YkA8NCNmPI8m30BAcoUVnVeAxC7UbF6JJOnZvKIDjIm3MSDtoq6PZ8NDQHpE87XQF7YCJFahAJFIkgbkoqBfHwbmbF7BQUgqrgnN5k0TgIZOQCpAYhUKEIkk+TsKPe41h5GIjg0RIN4QzTPXPkGAdD3rmYV3WAESq1CASCTJA9LLFafBmIIvPOH7QbyOwOOJrQrfUeh5b6J5tkMBEqtQgEgk9WNVkzb+7YJP1+BXMSDt/JO4SfQOBHPRBu66QJq23cxRgMQqFCASSf1ZF6v5DU63fpFcTzXvSa9/hpOyydJMkWV/uIch9CZTBUisQgEikdSvlRV717m69Qp6XZasanLDBdHLjM6NLhyX51piS7fmLShAYhUKEImkfi5efSEpqlvPtBfQoAvH9e6KWpf32aOspdBaerRpdVQ900IRK0cBEqtQgEgk9Vt/8FkqWUDusecDlcx2e+nR9sMzKB2ri70knqAh7VU7i50ioQCJVShAJJIGItC5dTYvL6/c8dON0h90VJ3MyytrBc6I9oO0V8J6zjmzFCCxCgWIRNI9aZiKTQx7QLIyVAxRZEtEyVA1RnBUgNzpONnY5RtXMv1zuk4WSyRlSLR2IVuiotxy/5z2jE7/pLN5Eq1lVfnnXA/1+UdVmURrGXX+OQ3qGyRGoYZYEkkyQywpT3r1mejnfc1XG8POJPcQ61Zd9Y3ouxjUECtWoQCRSLojgHSd2rQArzf5dlpZL5sUDcjlHQkT0Hpb4xLTmL1QgMQqFCASSXcAkPb9s3Q7Zh9i9OUMIEa+zl4JSbQuJypAYhUKEImkoQfk9Gw9OubkWmMoG5Ba1yqM75Ol7BQgsQoFiETSUANifKy7Izl6siJA69m5Yxpe908BErNQgEgkDTEgRhqHD11/q81MIoAY/LvXn21ALypAYhUKEImkIQbkGJcPXV9q/i4IIF5LME5DaxMrQGIVChCJpKEFpMaDD11fhU/5moDwxldmILuJAiRWoQCRSBpSQCLveAJiLv6IAbkqWLbhkgIkdqEAkUgaUkBKvfnQdXSAgQFJ9OZDW6IAGUTcGxJP1hpIylRkWDHMAVktAgStdIoAKRLwoWmNIwMQ5Or0VnOSHOE6ibgGGoOReLISS9uUSSWWBBBeUse6F6cswesRcCWetBzuixiRvrANCGsNJGUqMrQB4Zs+Aejs4ks87bKExJM8WoDwKqKOUhMQnlYUWMZPHiAu0ycE5KaID10nnvQ3hYAcGhmAIFenQM2JI26BXw12DELiyUosLVOmJbEkgHCSjDnPtbY+G4dmSnAlnrScjn/5ubajkLEG0jIVGdpDLK7pE4Tzg1f4Ek+rLCPxJI8WILyKqKPUBISnFbWMn25AeKZPCMhpMSDHMCBXhHxoy0YGIGipe4GaE0eD+34aRw12DFziyUosLVOmLbE0AeElVaC1zjZr6HWexNMqZybMnjN7dpkt0GGsgbRMRYYWIFzTJwAXC4J1XImnVZaReNJHCgivIstRigHhaUUt46cbEK7pEwJyUAzIuxgQsSlamzp8AXHYOw9w1JxmDqiePe4nhw+NC4DtD80d9+DoqxMe+H0Xef/yB9eN+84vmnEN1eY7ByfxZCWWlinTlliagPCSjqFlaI5o6BlP4mmV84LmixQQ1hpIy1RkaAHCNX2C9nOVwWtciadVlpF40kcKCK8iy1GKAeFpRS3jpxsQrukTAvKhGBC9AwGSJOTjseEr8XTaO3lqTjOn+ldd4MI249F5APzy/3Z03vfI7a6vbCHvN771dG/3d97CNZB3Dk7iyUosqSmTkViagPCSjmhL0ZrmcFe4Ek+rnJ9pvkgBYa2BbBmJDC1AeKZPYJR0V8IvEp7Ek5YlJZ7mIwWEV5HlKMWA8LSigBg/AfcYxG36hICs9QGkGgEyWfwNMnwlnk57J0/NaeYsfBW/AekHH30PgN/BP1OPLSWvgQcPAfDKS7gGRvM5cImnQ2KJTZmMxNIEhJdUoY05cX6qthLwJZ5WOWfduwlL0iMWIKw1kC0jkaEFCM/0CRqqQGWwgSvxpGVJiaf5SAHxQhY7SjEgHlpRbNsBHoA4jwQlACmGgHT78KH1DldAnPZOnprTzJn6BM6kgIyGgIxdSt+PAEkwAWE0nwOXeDokltiUyUgsTUB4ScZ7mjZ9mYasNTyJp1UOznpvnq4HISBuayBTxiJDCxCe6RMU90YBwmtNUuIZDYgHsqajFAPioRXtLyB+Q6x8CEiTDx9PDttjEKe9k6fmNHOO/GUR/PXgDb+HBw2PwVHM2MXkNfDAAQjICwDVQN45CIkncEkssSmTkViagPCSgFFd3LNAKwZ8iadVvtEBwjv0lRAQtzWQKWORIQTE2/TZXNnTUx6s6+VJPGlZVuJJABEiazpKMSAeWtH+AuJzkK4XSADy6rAFxGnvPMhRc5o5IPX7j8YXHHrgJ6E93/xFyZ5v/XMuGPvzbPO1tV8cWw4SfpCBaug13zkIiSdwSixNUyYjsTQB4SWh6JmIvGFciWeUPbMePqFDLNYaaJWJyBAC4m36PBPEUciTeNKylMQTWICIdps4SjEgfK1ovwHxOc2rn4GAdPoAsmrYAnLHY2ASzyiJJTFlMhJLExBeEopjWh564Ek8afkGMmbW6ln2hULWGkjKVGRoDbF4ps9bTU1NpcHP2ngST1qWkngCxxCLiyx1lGJAuFrR/gPS5gPIVYmD9EwFyIBjYBJPRmJpmTJtiSW5UMhLAuG8J8zuxpV4knLnjNN9TatT7IP0KGsgKVORoX2hkGf6hFEW/Jwv8aSkyUg86aN1oZBTkeUoNS8UcrSigBo/uYC4TZ9oqsn7Qj5m9vmf5h3XoQAZeAxI4slILC1Tpi2xJIDwknbGJX5qVsSVeNK+vzNp9uoiw2eyIhEZ2oDwTJ/galkwmHmeK/GkrclIPOmjBQinIstRagLC0Ypaxk8OIDzTJwKkQAhICr5QuN9nhKUAiVmo2bwSSUM6WbFvvgiQUxiQ60JArihAYhcKEImkob1hqlDAR1KfOVlxiYAPdKpPARKrUIBIJA0tIIbgWiE634EA+cybj+fQ8aMCJFahAJFIGuJ70m8u8OLjA3QUhm+YSvYEBJ1nUIDELBQgEklDvexP3RyPARaeu40B6dE9+DBXrVaAxCoUIBJJQ75wXO08Hh9za/GL5qINzXzVZ55ZgQIkVqEAkUga+pUVmzlXQxaR+0PJsj8tM914TL1I3q8AiVUoQCSS7sDavH0nEh18bHeurNi7+TEHHykd9O39BcTIKue/MNhQgAAFyJ1Z3b1tP4vIRmvqDrM27+fLGTrGr71iv1kGkNKkxX+oMYufTjwaBuvxRLzZErvZj1CAAAXInfKD9JXvW500c0bCW9uy2TurWf1B24mVr08a8/jEmRsKuti3SgDS+XAfSH0EFz/9NTo1nPpxY+ONXwjv4e5/KECAAuTOCXS4MUSOwu1PA1A3Cv3AI/+Isw93A7B7jcQO9CeGPSAF5Rd9ozTkn3MxJ08iKeOcf86pTImKsk7651zIkKjoZLZEUmaxf86nMq2dOn3eP06d9a+ovND89TkB+d3Du3eTA/m58fDQ4y/Qk+yvpf7qZ/j0cPcf+oa4/wx7QHIkzJNZMn7KUEgiSaaiTKmKJJJypFqT+myZEklSrWWW+kdmoX9FWeR0b/b9H0bFz+5/5BGysM0LaI2OL6HbrRd9udRY8p/RAf78Ix7dYMAx7AFRQyyJpCEbYklpoPOv+efQIdbJrwejIm4C3vz6ffd9+5XpsPBX6Ma4138Pvzu+UApA5b9ITPXuXyhAgALkLgPSVLB36/b9ObVs5/YBBEXgjwDc+hqau7L813Cw9Z+uAePneRLN9y8UIEABcjcBqd8+jZ7nnbyuxtosAUj9V2+BvTMB2NZUfX8HKPmVAVL+n0Tr/QwFCFCA3D1A6ldGXyl8hy4lIAEI2DNp5dwe0P3N42DvlNWzGkHjX++VaL2foQABCpC7BYixf5xzrslEsrsygDgj0jfkRyAKEBwKkLsCSDf3rinzW2AggNyRUIAABcjdAaTd5YA24yh6UQESq1CASCTdDUC6PR1TyEeiAIlVKEAkku4GIKu9+NBe7FWAxC4UIBJJdwGQAk8+NO2wAiR2oQCRSIo9ID3PCgB5LqIAGXjcGxJPQfybBYR1FALTTdi804ymoQbkoIAPTTurAImKiMTknMFJPGEYJTs2Hbxh59/Eq5N2Zu76c48NCC+p/mDKxvROvsSTWjABMWdyLbf0xd4jy+a9X0UB4XRHvPk6ptuWePJFn32tLCC+Ek+en/R80oTJK9vwJrejkLgJL5od9k/NLCACrygHEJfoEwFiPC8EJFUBEhXRrk7PGITEE0bJurbOTRvpPZ292wNoSdH6lJxe9huEl3Rg8+HUwBG+xJNaMKk5k2u5pS/uXNIe2f1mJwGE0x1hdL5onua0AOGJPsPXz2SU9EviyZOYzn124USkJAfA7SikbsLqJ1clJydPRwq6Fm5rDq+oExCe6BMBUi7kQ0tQgERFtKvTMwYu8YRhbN4PwCcBOjLL2xE4B//qpRxETyxAuEk7ekD72o1ciSe1YFJjJtdyS1/sfSMNORJqTEB43RHGpmnaCfRoSTw5os/mzLJTwbL+SDx5flJjWidoHDMJV+ByFFI34WVkoeqIQyt8t/Bac3pFHYBwRZ8IkE1iQJ5SgDhtn4sYk2f4gzk/+GMfHKy/Of7/HCZPBifxhNEQgL/gssBx81njJ6FAJQDpATy2sADhJYWR0i0lnSvxpBZMaszkWm7pi7f0+a2gMqHbBITXHeFf7JVrNOwDpYDwRJ9d7aASbZGXePL8pL2wBWPCSlyBy1EIiJuw8SQsbUtFz1t4rTm9og5AuKJPBMgMMSBa34gHxGX7ZEyeXTtAz7fSwWe/RJpP8mRwEk8YVYFs9B/+xgDGgfZQ4CLoXRfoM7oZQHhJsNBdFIpwJZ6WBZOaM3mWW+vFpXpixrsV5BiE1x2BMa9pjZaFXyaAcEWf8PsheK4/Ek+enxSWbu8MmDfguRyFwPaCgKbx+Kiohdea0yvqPgZxiz4RIK45WI7oGvGAuGyfjMkTXNvw9vc3ggWm5tN8gmLgEk8Y5wLwu6c28DF+UlUAQoEqcDXw4bmUwCH7IJ2XBMDpQGBDhsGTeKLAFkxqreFZbq0X65N0fcYxwwSE2x3ztoI15tJpFBCu6BMBUskA4ivx5PlJAZKVP7EaGxlcjkLAALL6ffzQwmvN6RXlAeI6nZJ/rd2Hj9GREQ+Iy/bJmDyzH6wFjyaD57HmkzxBMXCJJ4wzgRDsbgFTv7O/G/f9i4F12eWpgSILEF4S/ANedzIQOMeTeAJqwXQCwtVqVr99KFHXi01AeN3RmN0OAUG2KtuTzhN9OgHxlXjy/KRw4FW+TTOPeFyOQmADUjvGXA+xhdea0ysqCUijDyBT1DGIy/bJmDxn/BbUfHcDOIo1n+TJICSeV7bBaL0QgF2hPpCOtn0e6uhID5zrqgpsQd8aByAg3km4lmOBLJ7EE1ALpg2It1az/c3ToHWVvtEEhNcdy9a0tq7QTmCz+3lv0SewAZGReLobM/2kKN7WcD93OQqBDcii+ebzFl5rTq+oJCAtPoDMU4A4bZ9pjMmz6G8e+fiXj18FG//Xr14tIE8GIfEMBQKBD43awAE0esInPY+aK2Tsuo4GU42BgxAQ76RWdHbmdKCMJ/G0LJg2IN5azSK9DQ3IUkxAeN2RTP+GR1UQEG/RJ7ABkZF4uhoz/aR1WGeo4fGhy1EILEA+1ch1jBZea06vqCQgvT6A7FCASEXtczecmwYm8YTRvS4VnaC6Di6WGjdqa2sPBU7W96bAb5DrgXxriMVLykdj/owNbTyJp2XBdA6xeFrNMv0KHBDqJ0xAeN2xqqSkJEnbDvu+NcTiiT6Bc4jlK/Hk+Uk3o3N1HzyBj9jcjkLqJjTix5tXJu0hlsgrKgkImCoG5KICRCqa1/zOtW1gEk+ATunWhnftBrcDAXxR4XAA6fQCn4Hs5Nv2hUJOUsXGOqN2QyVX4mlZMKk5k2u5JS92JK3tjOxa1EUuFPK6I4xFaKoec6GQL/o8hwZd/ZB4cvykn0w6Fyl+0qzC7SikbsI8bS1po4XbmsMr6gbELfpEgKwQ8vGSoQCRitT5IffGAUk8YfSFtqSdaAfGwV3wsOLc4UAgOQsYRTt2HGphrqRzklp2rd/250a+xNOyYFJzJtdyS1+8njLvrbR2OtWE1x3B8UWjtSfRYYEFCE/0WXM2FAydvdYPiSfHT3rl9bEvvEXmpHhPViTiUcACIvCKOgHhiT4RICEhIEfUbN7YhZqsKJEU89m8HeMFfMSp+0FiGAoQiaTYT3dP9cTjMQ2tOqoAiVUoQCSSYg9I2yRPQvB1SQVIrEIBIpF0F+4o9DwKmYVnLitAYhUKEImku3FP+no+H7p5/lEBEqtQgEgk3Q1AjJU8PuaR8/MKkFiFAkQi6a6si2XscvOxK0xyFCCxCgWIRNJdWnq04jXH18fnVo4CJFahAJFIuluLVxuFCy06JgU+Y3IUILEKBYhE0l3UH3QU7l6/du329PPhqBwFSKxCASKRdM8ZpmIXwx6Q3Nx838gO+efkZ2TKJMm0liFRUSjLPydPpqJMqc+W7Z+TO3StnSrxjWLy50gBcqcjX8JyWxZTy22RTGtDZrktyJJICklYbs/KtJabI5GUcanBN2qI5VYBcqdDDbEkkmI7xJLypCtAYhQKEIkkBYhnKECAAkQB4h0KEKAAUYB4hwIEKEAUIN6hAAEKEAWIdyhAgAJEAeIdChCgAFGAeIcCBChAFCDeoQABChAFiHf8mwTEqLoAwqX1/BeVo5CGAiQGcVcA8XMSHvjuPLD6i84lFAfrKOSa9bDHjwDCivxomQr9AN9RSCoANesT525v93EUkiQbEN4ude1ZMj+1jXEUcioiZkTGUcgVGfacLzzT53YU0nL3tmmTE8xVsd0ST1ruWPfilCV4nWMCCCeJMX2agPi0xgHEJTIc2YD4OgmnzAPg71xrjA7OUcgz6xGPHwGEFfnRMhX6Ab6jkAoB1y5Inq2n+jgKSZINCGeXjMCCW7cWLOyzAOFVRMyINiA8kSFoy7oQ5jkKaXn1i23hwHj843RLPEnZmPNca+uzaCU3CggniTF9moD4tOYEhCcyHNmAeDkJjfILANTB3+gz8wB40AXI4ByFHLMe9fiZgLAiP1qmQj8AuI5CWoGxrAu0xs8ROwppkgUIb5eqkZHmkH7KchTyZIfEjGg7CjkiQ9CVhaUiLkchLfeMXgXA5/ijuSWetFyBzDubNfTzMQHhJTGmTwyIX2sOQLgiw5EHiMNJWF09e9xPqIBw1Q82PvXN7x8CO+5/D5x66LcEkMC47/wC/lHKmfv+44vDg3YU8sx61ONnAsKK/GiZCv0A4DoKaQV9NbArJG4XOwppkgUIb5fy9KPwI+v7LIEOpyJqRrQA4YkMQXkQ90OXo5CWW7UpjaBkLPafuCSetHxMgx/qiGZbbnlJjOkTA+LXmgMQrshwxAHidBJW/4oREIIHH283NvzlZ+C37wHwHgXk6d7u77wFLn23B3T+9xWDdhTyzHqAePxMQFiRHy3bQj+uoxBYQkCj8/jusI+jkCRZgPB2KUffCMB+fRMFhFcRNSNagPBEhuFQMIwSXY5Cq/ySNn7fa+ZBtUviSctHtKUAbNTeAhQQXhJj+sSA+LXmPgZxiwxHHCBOJ+HCKAHhj3bD8rc/wh62D35rD7FeeQks/Q18aTa2rQ3KUcgz6wHi0DABYUV+bNkU+gEPRyGRcaTr+sydEbGjkCRZgPB2qVqPL7i8WN9BAfHQD2IzogUIT2TYEsypywqW9rkchVa59hl43JCG18p3STxpuUIbc+L8VA25cE1AvH5IxPSJAfFrjQeI85ByxAHidBJOjRIQ/ugj+OS/XQWPvg3AuwwgCS+BOQ/Dl1YiSgbnKOSZ9UAUIKzIjykToR/wcBSSLvt51RFdPyl2FJIkCxDeLhnbdP3tTfoRCoiHfhCbEW0NNEdkeD0YunA1O1jtchRa5Yrpm8drplPXJfGkZeM9TZu+TEO+ERMQjx8SNX1iQPxaU4BwwukkPMIKCMGP4GHDR/Ngtx4DWh/+VwCehkd2DxyAgLwACv49/H548sAgHIXeZj0QBQgr8mPKVOjn4Si0/qaDzfoeoaOQJkFABLtkXK3s3aBX5J8XVoTNiBAQb5FhQzAPfbWUuByFtNw2PhM0ztTwSQ+XxNMqG9XFPQu0YkAB8fghUdMnBsSvNQUIJ5xOwt7U7z8aTwWE4Ed/95vpB+HXb97fPjRz8TcOHnrgx6G1XxxbDhJ+kAG2/tOywMdgEI5Cb7MeiAKEFfnZZVPoBxAg3kLAG8gyk65nCR2FNAkCItwl0DsnKZJ/XqQfNM2IEBBvkeFNNOJqJ4DwPlqG1oyGj4vQNpfEky33THwGneY2AfFIoqZPDIhfawqQfgceYknFgB2FPLMeiAKEFflZZSL0A/YQiycEPITUzTtnNgodhTTJGmJ57BLI18usC4Vc/SAxI1pDLJ7IMJyVi05vXXI5Cmk5T4NANWjo6M8t8bTKMI6Z5nYTEH6SZfrEgPi1pgDpd8gDMnBHIc+sRzx+5EIhaw2kZSL0A8yFQo4QsHDOZ5GKmUViRyFNsi8UcncpUjbzODPVhFMRNSPaFwp5IsOq4A1wIbPb5Sik5fZn5t4Or3keXy9ySzxJGQ5a854wR3XkQiEvyTZ9mhcKfVpzA+IWGSpAouKhnfK5A3UU8sx6xONHAGGtgaRMhX6A7yi0KliesGQTGoqJHIU0yQaEt0vHF66+BBhAOBVRM6INCE9kaFQXFJTeBi5HIS2DK4smv7yqDb/fLfGkSTvjEj812yCA8JJs06cJiE9riSsM9AAAARBJREFUTkB4IkMFCBtbvjzm0ztVt5qsKJE0yMmKtulTTVa850IBIpGkZvN6hgIEKEAUIN6hAAEKEAWIdyhAgAJEAeIdChCgAFGAeIcCBChAFCDeoQABChAFiHcoQIAC5J4HROLa8UBDAQIUIPc4IM3vfKtPotmBhQIEKEDubUBqfr9/lAJkwFHY0ucbdZn+OX2FpRJJGRKtXcqWqCivwj+nK6PXP6k8X6K1rGr/nMaQREXFpySSQvX+OU0UkK/tj4pJf2ppCTt/x1cUIAOP0xkq7sUglttz/26UK551/o4VICpUCEIBokIFN16/775vdypAVKgQhQJEhQpB1I7quWN1K0BU3OtxYMqo1zLvVOX/H2Hx/WOo5uU9AAAAAElFTkSuQmCC" title alt style="display: block; margin: auto;" /></p>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
</div>
<div id="predicao" class="section level2">
<h2>Predição</h2>
-<pre class="r"><code>## Predição pontual
-pred <- with(capdesfo,
+<pre class="r"><code>## Predição pontual/intervalar
+pred <- with(capmosca,
expand.grid(
- est = levels(est),
- des = seq(min(des), max(des), l = 20)
+ dexp = seq(min(dexp), max(dexp), l = 50)
))
+qn <- qnorm(0.975) * c(fit = 0, lwr = -1, upr = 1)
##-------------------------------------------
## Considerando a Poisson
-mediasP <- exp(predict(m4P, newdata = pred))
-aux <- data.frame(modelo = "Poisson", fit = mediasP)
+aux <- predict(m3P, newdata = pred, se.fit = TRUE)
+aux <- with(aux, exp(fit + outer(se.fit, qn, FUN = "*")))
+aux <- data.frame(modelo = "Poisson", aux)
predP <- cbind(pred, aux)
##-------------------------------------------
## Considerando a COM-Poisson
-f4; f4[[2]] <- NULL; f4</code></pre>
-<pre><code>## ncap ~ est:(des + I(des^2))</code></pre>
-<pre><code>## ~est:(des + I(des^2))</code></pre>
-<pre class="r"><code>X <- model.matrix(f4, data = pred)
+f3; f3[-2]</code></pre>
+<pre><code>## ncap ~ dexp + I(dexp^2)</code></pre>
+<pre><code>## ~dexp + I(dexp^2)</code></pre>
+<pre class="r"><code>X <- model.matrix(f3[-2], data = pred)
## Obtendo os parâmetros da distribuição (lambdas e phi)
-betas <- coef(m4C)[-1]
-phi <- coef(m4C)[1]
+betas <- coef(m3C)[-1]
+phi <- coef(m3C)[1]
loglambdas <- X %*% betas
-## Aplicando a "inversa da função de ligação", ou seja, obtendo as
-## contagens médias
-mediasC <- sapply(loglambdas, FUN = function(p) {
- y <- 0:50; py <- dcmp(y, p, phi, sumto = 100)
- sum(y*py)
-})
-aux <- data.frame(modelo = "COM-Poisson", fit = mediasC)
-predC <- cbind(pred, aux)
-
-##-------------------------------------------
-## Visualizando os valores preditos pelos dois modelos
-da <- rbind(predP, predC)
-
-update(xy, type = c("p", "g")) +
- as.layer(xyplot(fit ~ des | est,
- groups = modelo,
- data = da, type = "l"))</code></pre>
-<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAJYCAIAAAAVFBUnAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAgAElEQVR4nOzdd1hT1/sA8JuQBMLeQ2SLoICgiGWIqCjiRGvVah04cLV1b62tonXUWVddrZO6AEELDqyKglqZCgqobAQSyCCD7Pv74/aXb4qAUW4Sxvt5+vThnnNz3zc5Mbzce3MOAUVRBAAAAAAA4Ieo6QQAAAAAADobKLAAAAAAAHAGBRYAAAAAAM6gwAIAAAAAwBkUWAAAAAAAOIMCCwAAAAAAZ1BgAQAAAADgDAosAAAAAACcQYEFAAAAAIAzKLAAAAAAAHAGBRYAAAAAAM6gwAIAAAAAwBkUWAAAAAAAOIMCCwAAAAAAZ1BgAQAAAADgDAosAAAAAACcQYEFAAAAAIAzKLAAAAAAAHAGBRYAAAAAAM6gwAIAAAAAwBkUWAAAAAAAOIMCCwAAAAAAZ1BgAQAAAADgDAosAAAAAACcQYEFAAAAAIAzKLAAAAAAAHAGBRYAAAAAAM6gwAIAAAAAwBkUWAAAAAAAOIMCCwAAAAAAZ1BgAQAAAADgDAosAABAUBRNTU3Nz8/XdCK4QVFU0ykA0KWRNJ0AAF1aTk5OYmIiiUR69uzZwYMHHR0dle9VUVwul7ty5cr4+HipVDp69OgjR44YGBioIa5cVVXVyZMnf/rpJ7UFzcvL++WXX77++uugoCC8gn40bmJi4qNHjywsLLKystatW+fj44NXXAaD8fvvvx89erSoqIhEavohr7o3FQDgP1AAgIbw+fwBAwaIxWIURU+fPj1s2DDle1UX98qVK5s3b25oaMjIyOjWrduaNWvUExcjk8kmTZpkaWmptqAvX74MDw/ncDh4RVQmbkVFRUBAgEwmQ1H06dOnYWFheMUtKSkZO3bs9evXEQTBoiufFQAAR3CJEACNiY+P9/DwwM4xhIeHp6SkcDgcJXtVF9fQ0HDTpk0GBga+vr6RkZGFhYW4BP1oXMy1a9cCAwMpFIp6gspkstmzZ0dHR+vr6+MVUZm4VVVVRUVFTCYTQZDGxsaePXviFdfR0TExMdHX1/czsgIA4AgKLAA0prCw0NzcHPvZxsaGSCTW1NQo2au6uCNGjCCTydjPRUVFgwYNwiXoR+MiCFJfX19bW+vp6YljgdV60LS0tMrKyhcvXoSHh4eEhDx+/Fg9cX19fXv37u3j43P48OFbt27t3r0br7htyQoAgCMosADQGDqdLi9lCASCvr6+WCxWsld1ceVKSkrYbPa3336LS1Bl4p46dSoqKgpBkA/vHFJR0NTUVJFI1K9fv+Tk5PDw8AkTJvD5fDXEJZFIe/bscXNz27t3b3x8/LNnz3AJ2sasAAA4ggILAI0xMjLicrnyTaFQaGVlpWSv6uJiuFzuihUrzp07p62tjUvQj8a9f/9+UFAQFo5AIKgnKIPBCAoK8vHxIRAIK1asYDKZRUVFaoibk5MTHR2dnJxcVFQ0ZsyY8PDw+vp6XOK2JSsAAI6gwAJAY+zt7cvLy7GfORyOiYmJiYmJkr2qi4sgiFgs3rBhw4EDB6ytrXGJqEzc6OjoefPmubu7z549u7i42NnZ+e7du6oOamtrKz+FQ6FQdHR08Co4Wo976dKlUaNGkUgkMpm8Y8cOMpksEAhwiduWrAAAOIICCwCNmTBhwpMnT7C7jFNSUiIjI4lEIoIgFy9erK+vb6lX1XGlUuny5cunTZump6dXV1dXV1eH11Wk1uP+/fffBQUFBQUFp0+fdnR0LC4uHj58uKqDTpgwISsrC7ssmJOTM3DgQLxqytbjOjk5yb89UFlZGRAQYGtri0tcjEwmk/8fo+o3FQCgCQIKk9EBoDmxsbE3btzo27cvg8HYuHEjhUIRCoVubm4nTpwICwv7sFcNcf/6669ff/1VcecnT574+/urOm5YWBiCIH/88UdcXNytW7e2bNkydepUJycnVQeNj4+/efNmv379qqqqVqxYIb8HXKVxQ0ND165dq62tbW9vT6fTFy9ebGpqilfcxMTEhISE33//ffny5RERESEhIep5UwEAFEGBBQAAAACAMzg5DAAAAACAMyiwAAAAAABwBgUWAAAAAADOoMACAAAAAMAZFFgAAAAAADiDAgsAAAAAAGddq8DKycnZunWr+uOeOHHi1q1b6o+7cOHC2tpaNQdls9mRkZFqDoogSGpq6v79+9Uf95dffklPT8f3mIsWLVL/ErwcDmfWrFlqDoogyOPHj/ft26f+uPv27cNxaWflzZo1C5vnU51qamoWL16s5qAAdHFdq8B69+7d06dP1R83Ozv71atX6o9779499RdYDAZDI9VkYWFhZmam+uNmZGTgtXqd3N9//63+AovJZCYlJak5KIIghYWFGRkZ6o+bkZEhn0tdnZKSkphMppqD1tTU3Lt3T81BAejiulaBBQAAAACgBlBgAQAAAADgDAosAAAAAACcQYEFAAAAAIAzKLAAAAAAAHAGBRYAAAAAAM4IKIpqOoe2KiwsDAoKkkqlH91TKpVKJBJtbW01ZKVIJBIRCAQymazmuI2Njdra2kSiWstoFEUFAgGVSlVnUARBJBKJVCpV/+AKhUItLS0SifTRPZ2dnd++favMMVEUJRAIbU7tk2kkLvYR1KXitvPBHTZsWGxsrKrzAaDT+/hvhfavrq7O2NhYI3MVAqC8tWvXLl++vF+/fppOBIAWZWZmamQeOwA6n85QYCEIQqFQbG1tNZ0FAB9hZmYGb1TQnpWVlWk6BQA6CbgHCwAAAAAAZ1BgAQA6FYFAkJmZefLkSRaLhSAIk8m8f//+uXPnNJ0XAKBrgQILANCp/PPPP+fPnz9+/Di2pnJSUtLRo0evXr2q6bwAAF0LFFgAgE5l0KBBX3/9tXzzm2++CQ4O1mA+AICuCQosAEBn02RqEo1MiwAA6OKgwAIAdEgNDQ0ymUy+KRaLuVyuBvMBAABFnWSaBtCK9PT027dvP3/+/NSpU9u3b8/NzXV3d9+4caOJicnmzZszMzOdnZ03bdrk5uaG7V9dXf37779nZGQwmUx/f/8ffvhBT08P68rPzz9//nxBQQGXyx03btySJUta2RmAD+Xl5V28ePH169etv4Xu3Lnz4MGDoqKis2fPbtmyJT093dzcfNSoUZGRkRQKJTY2Nj4+vrCw8OHDh7q6uoWFhUeOHMnKylq1atX48eNbCl1TU7Nhw4aCggIHB4cVK1b4+flh7SiKJiQkvH37ViKRFBcXe3l5RUVF6ejoqOslAQB0TnAGq/NzdHTU1tam0WgnT55csmRJTExMfX39qlWrfv3118WLF1+6dInP52/evFm+/7Zt26KiouLj43/99dfU1NS4uDis/dy5cxcvXty8eXN8fPzu3bvz8vJa2RmAD507dy4mJuaHH3746FvIzc2Nx+PRaLS9e/eGh4cfOnRo8ODBJ0+e3L17N4IgX375ZUhIiHwVCjc3t2XLlgkEglZCNzQ0XLlyZevWrTExMVpaWhs2bBCJRFjXwYMHs7OzV65cuW7dup07d/7999/Lli1TPDcGAACfAQqszq9bt259+/ZFEGTBggVubm729vaTJk0qKyubO3euu7u7nZ3dlClT3r17x+PxsP03btxoaWmJIEifPn2CgoJev36NIEhRUdGhQ4dWrVqlq6tLIBD69euH3Ufc7M4AfOiT3kIODg4eHh4ikWjJkiVDhw7t27fvsmXLJk6ceP369YaGBgKBYG9vr3jwJpsfIhKJ3333Xffu3R0dHRcsWMBkMisqKhAEKS8vv3jx4qRJk7D7tExNTaOiojIyMtLT01X0OgAAugi4RNglaGlpIQhiaGiIbWK/z+SbFhYWCIIIBALs6p6lpeWdO3cyMjKIRGJVVZWxsTGCII8ePdLV1TU1NZUfc+jQoS3tDMCHHj9+/ElvIS0tLT09PcV31MCBA69du1ZfX29oaNjkvvWP3saur68vv/PdxsYGQRBsEoe8vDwURbF/EZj+/fsjCPLq1auBAwe24ekCALo6OIPVFbXyy4nH482YMeP169fLli1bt26dp6cn1i4SiXg8Hp/PV3xgSzsD8KG2v4WkUqmxsbGDg0MbM1F8wzc2NiIIwmQy5S0mJiYIghgZGbUxCgCgi4MCC/zHvXv33rx5M2/ePF1dXeT/f/0gCNKzZ08EQVJSUpTZGYAPtf0t9PTp0ylTpmAnokgkEoIg8q8NFhcXf15Wrq6uCIJkZmbKW6qrq7ErmJ93QAAAwECB1SVg9/OKxeJmNxUbMbdu3WIwGOfOnSssLJRKpQiCDB48uHfv3vv3779//75EIuHxeC9evGhpZwA+FBIS4unp+UlvIQ6Hc/nyZbFYLJPJkpOTORzOnDlzsC4rKysEQc6dO0en07Ozs+Pj4xGF97BQKET++4ZXfHvLGxEE8fLyCggIOHfu3Pv37xEEQVH00qVLM2bMwAovAAD4bFo//fSTpnNoq4qKihs3bnz55ZeaTqSdun79+rVr1+h0Oo1Gs7W1TU9Pv3btGo1Gq62tNTExsbGxKS0tvXPnDo1GMzY2DgwMfPPmTWxsbGFhYWRkZFFR0YsXL8hksre394gRI1gsVkxMzMmTJx88eODi4hIaGtrszl5eXpp+0u1RXFycn5+fnZ2dphPRDCKROGzYMBaLdeXKldOnTz969MjJyamVt1B2dnZubi6NRjt06NDjx4+9vb3nzZsnv4/KwsKioaHh1q1bsbGxZDJ5zpw558+fp9Ppurq67969u3z5cnV1dW1traGh4Y0bN+7cuVNXV1dbW9ujRw9DQ0Mmk3nt2rXq6mozMzN7e/vBgwfX19efP3++qKgoLy+vd+/eU6dO7bJzk1ZUVLx48SIqKkrTiQDQ4RHkX3XuuNLS0qKios6fP6/pRDoq7BvpTSa/bsmTJ08aGxux25PBJ5k+ffrixYsDAwM1nUjHcPr06ZiYmHv37uF+ZBRF5Z97Sr7tu4709PQLFy48e/ZM04kA0OHBhwtAiESi8r9mSkpKTpw4sWvXLpWmBIDqEAgE4v/TdC4AgE4LPl/Ap5k2bdrs2bPv3Lmj6UQAAACA9qszXCKMjY2dPHmyvr6+phPp/KRSKXbHMYVCwb7GBZTXrVu38vJyeN2UJBQKRSKRgYGBphPpWiQSSc+ePbOzszWdCAAdXmf4rLe2tvbx8dmzZ89H98S+TKT+UozH42lpaal/dbOGhgZdXV01/0aXSqUcDkf9M44KhUKJRKL+lRB5PB6ZTKZQKB/dc9q0aXPnzp0wYcJH94SBu3TpUlJSUmVl5aBBgyZOnNj2ua8+xOPxSCSStrY27kduHYvFMjAwwOb+VRuJRMLn8+VzC7ciJyfn5s2bakgJgE6vMxRYCIKgKDpkyJCP7iYQCPh8vuJc0urBZrNJJJL6f/fT6XRjY2MymazOoFKptK6uDvsWvTrx+XyRSKT++oDJZOro6FCp1I/u2djYaGlpqcwbFQZOmVepjVgsFoVCwebfUqfa2lpzc3M1F1hisZjFYmFrNrROIBAkJCSoISUAOj24BwsAAAAAAGdQYAEAAAAA4AwKLAAAAAAAnEGBBQAAAACAMyiwAAAAAABwBgUWAAAAAADOoMACAAAAAMAZFFgAgNaIxeL9+/f369fPysoqLCwsNTVV0xkBAEAH0EkmGgUAqMjMmTPpdPquXbscHR2zs7OnTZt2+PDh8ePHazovAABo16DAAgC0KCUlJSsrKzc3F1voydXV1c7ObsKECWPHjlXzXOQAANCxwCVCAECLnj17NmrUKMVlNAMCAohEYnFxsQazAgCA9g8KLABAi8hkskAgUGxBUVQoFKp/jWQAAOhYoMACALQoLCzs+vXrtbW18pbLly/b2NjY29trMCsAAGj/4B4sAECLfHx8vvvuu6CgoOXLl5uZmWVnZ585c+bWrVuazgsAANo7KLAAAK3ZuHHjwIEDL1y4UFVV5e3tnZOTY2Njo+mkAACgvYMCCwDwESEhISEhIZrOAgAAOhK4BwsAAAAAAGdQYAEAAAAA4AwKLAAAAAAAnEGBBQAAAACAMyiwAAAAAABwBgUWAAAAAADOoMACAAAAAMAZFFgAAABwgKKoplMAoB2BAguAdoTFYu3evXvRokXr16/Pzc3VdDoAKIXBYOzZs8fFxUUikWAtXC53wYIFlpaWZmZmM2fO5HA4ms0QAPWDAguA9uLVq1e9e/d+9+6dv7+/vr7+qFGjjhw5oumkAPiI0tLSyMhIV1fXkpISeWNycrK1tfW7d+/u3Llz7969bdu2aTBDADQClsoBoL2YPn36tm3b5syZQ6fTjY2N58yZ4+fnFxoa6u7urunUAGiRo6NjYmJiZWWlYqOhoeGmTZvIZLKvr29kZGR+fr6m0gNAUzpSgYWi6KVLlz481fzu3Ts+n8/n8z96BLFYLJVKldkTXxKJRCaTEQgENcdFUVQgEIjFYnUGlclkKIqq/0UWiUQSiUT9caVSqUgkUubuEyqVamBg0FKGlZWVJSUlkydP5vP52MCZm5uPHDny+vXrS5YswTvrZmhw4DTyrxIbODUHRRAERdHGxkYiUa1XD6RSqZKDy+Vy6+rqTpw48WFXcHBwr169lIw4YsQI+c9FRUWDBg1S8oEAdBodqcASCoV//fXXh5+JdXV1EolEKBR+9AgymUwmkymzJ76wTzf1x0VRVCQSqfmjHEVRjTxZqVSqqcFFEEQmk310TyqVSqVSW8qQzWbr6upi1bBMJsMGTldXl8PhqOdJYTVilxo47L2q5rgIgohEIjX/uaX8R59AIBAKhSkpKU3aCQSCsbGx8gWWXElJCZvN/vbbbz/1gQB0dB2pwNLR0blw4cKH7Wlpad9//72JiclHjyAQCPh8vjJ74ovNZpNIJD09PTXHpdPphoaGZDJZnUGlUmldXZ36X2Q+ny8SiYyNjdUcl8lk6ujoUKnUj+7JYDBoNFpLr4y3t3djY2N5ebm3tzc2cAiCpKam/vLLL+p5MbvawLFYLAqFoqurq+a4tbW1RkZGWlpa6gwqFotZLJYyg2tubm5ra3vlyhVc4nK53BUrVpw7d05bWxuXAwLQgcBN7gC0CxQK5cCBAxMnToyPj6+rq8vIyJg0aZKLi0t4eLimUwPgc4jF4g0bNhw4cMDa2lrTuQCgAR3pDBYAndvMmTMNDQ23b9+em5vbrVu3WbNmrV27Vv237gHwGbCr5PJr5VKpdPny5dOnT9fT06urq0MQxMjISM1n0wHQLCiwAGhHxo8fP378eOxbhPDbCHQUiYmJCQkJCIKsW7cuIiIiJCRkxYoVR44cUZxn5MmTJ/7+/prLEQB1gwILAABAm4wbN27cuHGnT5+Wtxw8ePDgwYMaTAkAjYN7sAAAAAAAcAYFFgAAAAAAzqDAAgAAAADAGRRYAAAAAAA4gwILAAAAAABnUGABAAAAAOAMCiwAAAAAAJzBPFigKbFYnJKSUllZaWtrGxoaCouIqRSKoo8ePXr79q2JiUlISIipqalir0wmu3//fmlpqbm5+dChQw0MDDSVJwAAgE8CBRb4j6KiooiICB0dHVdX1+Li4qVLl8bHx3t6emo6r86JzWaPGzfu/fv3ffr0YTAYCxYsOHv27MiRI7He2trasWPHcjgcDw+P2traRYsWXbp0adCgQZrNGQAAgDKgwAL/I5VKp02bNmvWrHXr1mEtBw8enDp1alZWFizbogpLlixxcHBISUnBXt47d+7MmDEjJyeHRCIhCDJv3jx/f//9+/draWkhCHLt2rVvvvnm5cuXxsbGGs4bAADAx8A9WOB/MjIyGhoa1q5dK29ZunQpkUhMTU3VYFadFYfDuXLlyqFDh+TFa1hY2PDhw69cuYIgSFVV1aNHj/bs2YNVVwiCfPXVV3369ElMTNRYxgAAAJQGBRb4n9raWgcHBwKBoNjo7OxcW1urqZQ6sfr6ekNDQyMjI8VGZ2fnmpoaBEFoNJqNjQ2FQmm2FwAAQDsHBRb4H0dHx/z8fIFAIG8Ri8W5ubnOzs4azKqzsrKy4vF45eXlio0ZGRkuLi4IgtjZ2VVUVNTX18u7UBTNzMzEegEAALRzUGCB//Hy8urXr9+8efM4HA6CIDweb+HChU5OTgMGDNB0ap0QlUr9/vvvp02bVlVVhSCIVCrdtWtXYWHhpEmTEAQxNzf/5ptvvvnmGzqdjiCIWCzeuHEjl8sdNWqUhvMGAACgBCiwwP8QCISzZ8+KRKJu3bp5e3vb2NjU19fHxMQQifA+UYno6Gg/P7+ePXv26dPH2to6Li7uxo0b8ouGBw4ccHBwcHR09Pb2trKySk9Pj4+Pp1Kpms0ZAACAMuBbhOA/zMzMrly5UlVV9fbtW2dnZzs7O01n1JmRSKT9+/f/8MMPeXl5NjY2Li4uirUslUo9fvz4tm3bXr16ZWdnBxdqAQCgA4ECCzTD1tbW1tZW01l0Faampq3MbmVhYRESEqLOfAAAALQdXPoBAAAAAMAZFFgAAAAAADiDAgsAAAAAAGdQYAEAAAAA4AwKLAAAAAAAnEGBBQAAAACAMyiwAAAA4ABFUU2nAEA70skLLBaLVVFRIZVKm+1lMBiVlZUymUzNWQHQ/vF4vLKyMrFY3GxvQ0NDeXm5RCJRc1btkEQiKS8vx1aX+pBYLC4rK+PxeGrOSs3Dx2Aw9uzZ4+LionjMnJycrVu3/vzzzxEREaWlpXjFAqCj6LQFVn5+/sCBA21tbb/44gtTU9MDBw4o9mZmZvr6+jo4OPTv39/S0vLUqVOayhOA9qaqqmr8+PGmpqbBwcGGhobr169X/D1dXFw8fPhwKyuroKAgIyOjbdu2ddk/UWQy2datWw0NDYOCgiwsLEaMGFFSUiLvFYlEa9euNTAwCA4ONjU1/fLLL9+/f6+GrCorKyMiIloavnfv3ikO3/bt29t+2qm0tDQyMtLV1VXx6Tc2Ni5YsGDDhg0bNmyIiIiIiopqYxQAOpzOWWAxGIyRI0eOHTuWzWa/f/8+NTX12LFjZ86cwXqrqqpGjRo1b948NptdU1Pz119/bd26NSEhQaMpA9AuiESiCRMmdO/enclklpeXv379+tGjR1u3bsV6eTzemDFj/Pz8sHPDWVlZsbGxTf566Tp+/vnnhISE3NzciooKFovl4+MzYcIEoVCI9a5bty49Pb2oqKi8vJzBYFhbW0+ZMqWls+l4wYbP3t5ePnypqanR0dFYLzZ8AwYMYLPZ2PBdvXq17cPn6OiYmJjo6+ur2BgfH+/h4UEikRAECQ8PT0lJaekkHwCdFtrxPX78uG/fvootu3fvnjx5smLLkydPunXr1tjYWF9fv379+vnz5yv2JiUleXh4qC5DFovF5XJVd/yW0Gg0kUik5qASiaSmpkbNQVEU5fF4TCZT/XEZDAafz1dmTyMjo+joaGX21ODAxcXF9e/fXyqVyturqqr09PSw1/b06dOhoaGKjyooKDAyMhIKhZ8dV1MDx2QyeTzeZz9cIBDo6+sXFRUpNg4ePPjs2bMoitbX1+vq6lZXV8u7pFJp3759ExMTa2pqJBLJZ8dtXWxsbJPhq6ys1NPTo9PpNBrt1KlTw4YNU9z/9evXxsbGisOXlJQUEhLyGaErKioQBBGLxdjm5s2bV69ejf0sk8mIRGKT1wqATq8jrUXY2NjYv39/gUDQpF0gEFCpVBqNJm95+fJlnz59FFucnJxoNFplZaW+vn5+fv7w4cMVe3v27FlYWFhbW0sgEFSRuUwmIxAI6r8PQyaTMRgMFT2p1uMqvrzqgb2h1R9XJpOJRCJl/jq3srKys7NTJkMNDlxOTo63t3ddXZ28kUQi2djYZGZmenl5vXjxwtvbW/EpmJiYkEikvLy87t27f15QDQ6cUCjkcrmf9/Dy8nIqlWpkZKSYuY+PT1ZWVnh4eG5urq2tLZFIbNKbmZnZv3//+vr6tmbfgpycHB8fH8XhI5PJ1tbWubm5Hh4eHw6fqakpkUjMz8+Xrz1aX19fVVXl4uLy4cEXLVq0atUqJTOh0+kmJibYzwQCQV9fv6UbwgDorDpSgUWlUpOTkz+8MTMzMzM6OtrMzEzeYmNjw2azFVtoNBqJRLKyshKJRFZWVg0NDYq9dXV1pqam5ubmKsqcw+FoaWnp6uqq6PgtYTAYhoaG2Fl6tZFKpUwmU/HlVY/GxkaxWGxoaKjmuGw2W1tbW0dH56N71tXV1dTUKPPKaHDgbG1tX758qZikRCJhMBjOzs5mZmY2NjZFRUWKvTwej8/nOzo6GhkZfV5cTQ1cQ0MDmUymUqmf93AikcjlcqlUquK/axaL5eHhYWZm5uTkxGAwjI2NtbS05L0MBiMoKIhIJDZpx5GtrW1+fv6Hw+fo6KilpWVjY/P27VvFXi6Xiw2f/PU3MjIyMzOLiYn58OCf9AlpZGSkWLwKhUIrK6tPfj4AdGiaO3mGmw8vEb58+dLc3Dw/Px/bFIvFU6dOnT17NnaJMD093crKqqSkBOsVCoWjR49esWKF6jKES4RqAJcI2wgbOBqNZmVllZKSgjXKZLINGzYEBwdjm6Wlpebm5k+fPsU2pVLpokWLIiIi2hK3g14iRFF04sSJ3333nUwmwzbT09NNTEzevXuHbQ4ZMmTTpk3ynW/fvm1ubl5TU6PSS4S1tbVNhm/9+vWDBg0SiUQ0Gq20tNTMzOzZs2dYr1QqXbhw4fjx4xWPgNclwqNHj8qP3NDQYG1trXjhEoCuoCOdwVKep6fn9u3bg4KCRo8ebWZmlpKSYmJikpycjPUGBASsWrWqb9++48eP19fXv3XrlrOz8/bt2zWbMwDtgYWFxe+//z558uRBgwY5OzunpaWx2ezbt29jvQ4ODocPHw4PDw8LC7O1tb1//z6BQJD3djXHjh0bPny4r6/v4MGDKysrU1JSfvvtN2dnZ6z3zJkzYWFhKSkpgYGB7969e/z48blz56ysrGpra1WXkqWl5enTpydPnhwSEuLk5NTs8I0YMUIVw4d9mVT+ldIJEwNAMEMAACAASURBVCZs2bKFw+EYGBikpKRERkYSiZ3zO1UAtISAdvyp4dLS0r7//vusrKwm7cXFxffu3eNwOL169QoPDycQCAKBgM/nm5qaIghSUFDw8OFDPp/v5eU1bNgwlWbIZrNJJJKenp5Ko3yITqcbGxuTyWR1BpVKpXV1deq/HMDn80UikbGxsZrjMplMHR0dZa40GRsbr1q1atOmTR/dU+MDR6PRkpKS6urqHB0dIyIimmRSWVl5+/ZtFovVo0ePMWPGtPFql6YGjsViUSiUNl64l0gkN2/efPfunYmJyYgRI+R3MmFEIlFiYiJ22m/06NEWFhYIgtTW1pqbm6voEiGmtrY2KSmpvr7eyclp3LhxZDJZLBazWCwsgYqKijt37rBYLFdX19GjRzfJJDk5edeuXQ8ePPikiImJiQkJCb///vvy5csjIiJCQkIQBImNjb1x40bfvn0ZDMbGjRspFAp+TxGADqAzF1gfUiyw1AkKLDWAAquNutrA4VJgfQY1FFgfUiywWvd5BRYA4ENwzhYAAAAAAGdQYAEAAAAA4AwKLAAAAAAAnEGBBQAAAACAMyiwAAAAAABwBgUWAAAAAADOoMACAAAAAMAZFFgAAAAAADiDAusToAKBtLxCUlYuKSuXvHkjfvES+0/4+LHw0SPho0fC1EeirCzp+/eoSKTMAQsKCr7++uvevXv369dvzZo1DQ0Nqn4KzUpISBg6dKirq2twcPCZM2cU555FUTQmJiYkJKRHjx6DBw++evWqRjLsOh4+fBgeHu7v7x8cHHzgwAGxWKzpjBCxWLx//35/f/+ePXuOHDkyNTVVPXHr6uq+++47b29vDw+PyMjIsrIyxd73799HRUV5eXl5eXktWLCgurpasbe0tHTWrFkeHh4+Pj7ff/99fX29enJuh8Ri8b59+wYOHBgQEKDO4QMAdM61CNtIxmbzyyrel1TXVNJodHZNg4gmlNFl5DqKAVPPGCUQ5HsSEAJC+M9jqeIaU+4/JhyGmazRXEtqpk0016cY6ZIsrUwIttYkB3ty794EKhVBkPz8/ODg4BUrVmzcuJHL5e7fvz8kJOTp06fa2trqfLKHDh3au3fvjh07+vXrV1BQsHHjxtevX+/atQvrjY6Ovnjx4o4dOzw8PHJzc9evX19cXLx27Vp1Zth1xMXFLVy4cPv27Z6engwGY/v27c+fP7948aJms5o5c2Z5efnWrVsdHBwePHgwceLEkydPjh8/XqVB2Wy2v7//4MGDT58+TSKRLl265Ofnl5mZaWdnhyAIjUbz8/ObNGnS2bNnEQT5448//Pz8srOzsZnKy8rK/Pz8oqKili9fLhaLjx075u/vn5WVZWBgoNKc26cZM2ZUVFT89NNPRkZGL1++nDhx4qlTpyIiIjSdFwCdHyyVgyAIwikpf/ko52XR+wK2tJagU0c1btDRN5AKzRGRlTZiZaRjZW5o3c2sm4O1mSGVSCQ0e3AMTyCmc4QMFo9Wy6xncOoaBAy+uE4gY8pICIpaNzKdq9+6EnhulvoPU5PtBgVN37qFoKeHIAiKoiNGjBgxYsTKlSvb8moo+uiKK0wm097e/tmzZ71798Za3r9/7+XllZaW5u7uXl5e3qdPn5ycHEdHR6z37du3/fr1KywstLGxaemYXW3FFbyWypFIJN26dbt8+fKQIUOwgRMIBH369Dl9+vTQoUPxzroZzQ5cSkrK/PnzX7x4oa+vj7Xcu3fvm2++qaqqwmuxl2YHbt26deXl5TExMYotZWVlf/75J4IgCxYs0NLSOnr0qLxXsWXKlCk9evRQXL79wxakayyVc/fu3YULF+bm5mpra2NL5aSkpEyfPr2V4YOlcgDASxc9gyWTSN9kvn7x/HVeJbtApP1e18RJ2NDL0CAkwMrCsZuNs62NqT6V8nmfgNSeNgiCWCCIo7wJW4sQIWmX0LmvSutfF1TcqeFWjOjfTcB8uXCfq4zjZqXbq2f3RcHBMU+e4PMMlZOTk9O7d295dYUgSLdu3YYMGfLs2TN3d/eMjAx/f395dYUgSI8ePfr375+RkTF27Fh15tkVlJSUkMnkIUOGyFsMDAwiIiKePHmingKrWc+ePYuIiJBXVwiChIaGEonE4uJiV1dXlcZdtWqVYsv06dPl77pnz54pVldY79KlS7Gfnz59+tNPPyn2fvPNNwcPHlRdtu2WfPjk15qHDRtGIBBKSkp69Oih2dwA6PS6VoHFrGVcPH/vTQNaRDY2EPF7Ebm9rQwivJ08gny0dVS+0rueNsmzu7Fnd2NkoAuCIKYW1j8mPazj+b0urLxNa3xfrWXN0e6txf973S6/If30Bw0kKHFSpI1IJJLog9vFRCIRdtKr9V6ALy0tLbFYjKIogUB4fPMJncYhEgkElj5fhJz6JabJzlyBVNbyuWcJQhC0fntlc/cIoggqlUpJWv/5TKirp0jElls3/aHYODR41tlTf1PIj5s9tjaJQCa2GJ1IIOjr/OdPF6lUJpPJyOR/4+pqk7W0iK4mvV6nvuGWxsp3YzKYga6DYn+L19WleFp75D14yX7LlPdWVFR4WvVOPveXnh7Vx7Z3/sMcZlEtgiDaOtraOtr1RdW2VIu8h1kkipauwb/FIofL1SaTLbr/54ydgakRkdx5PhU//CeMoqhYLIZ/wgCoQef5KFEGv45BbuRN6mXjHdjHws1Rs8mEhQ6+H3dmx44dyOCeCIIwOY1hX810CB57Sma87ZHA+9Kv/lRh8IAeViOGaLV8Pa6NfH19379//+jRo+DgYKyloKAgLS3tt99+QxAkKChozpw5OTk5Pj4+WO/z588LCwsDAgJUlE9X5uTkZGpqevXq1cmTJ7Or6zlcsUQiYbM45qaWDSxe070pFITQ4qVqXRJiSm7tQjZCbeY+P+xXL4Xyn7809AmGGRkZnk428vbq6mqtRrajmQHSQgSBWCqStFj8yVC0oVHynxaZFEVRrf9vq20QSVGUau1cUMPmkQ3FMkQoJSAIwmSydZ2804pZfBmB6BL0sFxkwKDLD8LhiknOQQkv6HyEqN3/q8uveNpvKxAEERK0xASiVKJHcB+36a8iMUFLoNWktihS3Ggk6cgUXlgdqUhLJpVvUmRSbdn/vnZARFBd2X+eiz5BiqAIgiAUAqr9/0Wmwf8HpGgRKFpEsVhEJpMNqf+2apO1KP9f0hka6PzbqEPR0SYjCIIQCIZG/946RtXTIetoIwhCIBAMzY3+bTTQo+jqfPg6Y8LCwkaPHr1582YTExOs5dKlS1ZWVvb29i09BACAl65VYNl69Jjh1O3De7A04sCBA/369autrY2IiOByuYcOHbI0M9u3cQaBQGDxRWmZPR89e3P8HWK2684AXmVQD9N+YQE63n2Qls8NfAZdXd3jx4+PHz9+xYoV2E3uu3fvjo6O7tatG4IgZmZme/bsCQsLW7NmDXaT+549ew4dOmRkZIRjDgBDIBD++OOPUaNGZWdne3t7a9fxjuzbN3Xq1I3bl6gngZZunlu/vnTv79GrV6/GbnI/8ceJW7duffHFF3jFbfYeLLFYHBISUlqlO3/+fOwm9+zs7MzMTENDQwRBGhsbBwwY4OTkNHPmTARBzpw5U1FR8ezZMx0dHQRBWCyWr6+vn5/f5MmTxWLx8ePHRSLRgwcPSKT/fNy1fg+WWCITiKVoYyMqFnNFUhmKIAgiahQKuI3YDiiPK0MRnliGiEXybw03cBpRmUx+kMZGsVjyv/pMKJaIxFKRloxMJsmrTBFXJJKiCIKgKMKV/Ps9YoEMEaMEBEEQAsJF/z3hJyAQJQQtBEE4JB0EQaRELYHW/6phIopSJQIEQbRlEopMgiCIrkxCRNDBX0Uv2RCjQ9XpRuRLdWpPnDhx+/ZtQsvVOQAAL12rwGpXrK2tX758uXfv3pMnT+ro6ERGRkZFRWEffMa6lNHBbqOD3RpF0qcF1Y/SX0dXCyh/FoTuuTTGz8Fh2kQtS0u80hg/fryjo+Phw4dTU1Otra0vX748aNAgeW9kZKSbm9uJEyfu3LnTvXv35ORkPz8/vEKDJgICAp4/f75v374TJ05YWVkdOHBg3Lhxmk4K2bFjh7+//+XLlxkMhouLS0ZGhouLi6qDksnkBw8eHD58+M8//5RIJH5+fqdPn5Z/DZBKpT579uzgwYPnz59HECQ4OHjJkiVYdYUgiLGxcXZ29v79+//44w8ymTx27Nhvv/22SXX18QRIRDKJiFDJCILg+/cE7je58xhsiVgik8o4jH/rs0YuTyyUIAgilUl5Dbz8/Pzc3KwSdr2pi7V6hg8AgMC3CNUDu8ldT0/vs48gQ9H8SvaNv1/+/Y7tVl00AqUNGTdQf1Q4odVfGx/9FqEqwLcIW9L6twgVwcCpQVf4FqGcWCzGvkX40T3hW4QA4AXOYHUMRALBy87Ya1bwaonsYY5HXEr+r8+kgXE7xrsaes+cqGXXXdMJAgAAAOB/oMDqYMgk4rD+TsP6O1XU86/fNt9QwDDYey9UVDUhzNtqzAjkE6+DAAAAAEAV4PdxR2Vnpvv9tKD5Yund9KLrqYVXn0uGJO6YOaiH3TdfEeA72AAAAIBGQYHVsWmTtcaE9BoT0qu0lhNzXT/yLT94/u7pQY49Zk4iUFQ+sxcAAAAAmgUFVifhaGWwYUHoYr7oyk3zb/Pq3L47OrOHtsOkcETt9w4DAAAAAAqsTsVYlzJ/csD0CMn1W1k/ZlRb7r09qzsSsmgqEWauAgAAANQIz1krQTuhq02aFjEg4cexoYN67+NZz9nw551tx6RMlqbzAgAAALoKKLA6LTKJGD6k15/rw8NDfQ4LrOf8cPnBvj9QoVDTeQEAAACdX2e+RPjo0aO4uDgGg9G/f/958+Y1mQry7t27iYmJXC73iy++mDNnDkUTt4SLRKIzZ848efJEX19/7NixYWFhuIfQJmt9/aX/VxHojb/+2f30/eUVp78Pse89aXQrK9lVVlaePHny7du3zs7Oc+fOdXR0xD0r0LHk5OTExMRUVVV5e3vPnz9f/ZOCth9cLvfkyZNZWVmWlpaTJ09usmQQk8k8efJkbm5u9+7dp02b5u3trdhLo9FOnDiRnZ3t6uo6e/ZsNzc3FSX58uXLixcvVlRUeHl5zZ8/v8nUys+fP798+XJNTU2/fv2ioqLk8+O3RWJi4qNHjywsLLKystatWydfvRSArqzTnsHasGHD5MmTDQwM+vXrl5SU5OHhUV1dLe9dvHjx3LlzLS0t+/Tpc/ny5b59+zKZTDVniK2YFhMT06dPH0tLy6ioqAULFqgoFkmLMGHcFwnREQODei3Jla1acqTk7yfN7pmSkuLl5VVdXR0YGFhfX9+3b98bN26oKCvQIRw6dCg0NBRBkMDAwOfPn7u7uxcUFGg6Kc0oLS11d3d/8ODBgAEDdHR0xowZ8/PPP8t7X7165e7unpmZGRgYKJPJhg4devToUXnvP//806tXrzdv3vj5+TU2Nvr7+1+4cEEVSZ44cSIkJEQikQQGBubm5rq7u7948ULe+8svv4waNYpCofj7+z969Mjd3b24uLiNESsrK3fu3Ll79+41a9YsX7587dq1bTwgAJ0E2vE9fvy4b9++ii3379+3t7evra2Vt6xfv37cuHGNjY319fXx8fFubm4sFkveu3DhwlmzZqkuQxaLxeVymzTOmTMnKipKvslms3v16nXt2jUc49JoNJFI1KSR3cDfvz9+8IaE7ct/ZRSVKHbxeDwbG5vbt2/LWx4+fGhpaclkMpUPKpFIampq2pD1Z+LxeJ+UJ14YDAafz1dmTyMjo+joaGX2bHbgVK3ZgXv16pWFhcWbN2/kLYcPH/b19cUxrqYGjslk8ni8T3rIkCFDfv75Z/lmRUWFjY3NP//8g236+PgcO3ZM3ltYWGhhYfH69WsURSUSibOz86VLl1AUrampkUgk2dnZ5ubmFRUVODwTBW/evDE3N3/16pW85dSpU56enkKhkEajZWVlWVlZlZaWynt3794dHByseISkpKSQkJBPCvr06VMzM7P6+noURe/fv//dd9+16TkA0Fl0pEuEKIpeuXKFzWY3aX/37l1jYyOfz5e3xMfHz5gxQ19fX964dOlSOzs7rMqJi4ubN28emUyW9y5btuyLL75QPAK+JBKJTCZrsoJ9QkJCamqqPCiJRIqKirp27drIkSPxiouiqEAgEIvFio0kLWT+/LBRFXUn/+RN/j3rK9KtKYsnUIwMEAR5+PChjY3NwIED5Vn179/fzc0tJSVl1KhRSgaVyWQoiqruxWyJSCSSSCTqjyuVSrFi6KN76ujoGBgYKJNhswOnas0OXEJCwpgxY7p16yZvnzVr1saNG9+8eWNra4tLXJFIJJVKNTVwyu/P4XDS09NjY2PlqZqamk6aNCkuLs7Dw6OioqKsrGzGjBny3u7du48cOTIhIcHe3v7ly5cymWzs2LFYLd7Y2NizZ8/AwMCkpKTp06fj+KRu3LgxfPhwBwcHeRpff/31+vXrX79+bWNjk5CQMHHiRAsLC3nv/Pnzf/zxx8rKSvllRB6PV1dXd+LEiQ8PPnjw4J49e37Y7uvr27t3bx8fnzVr1lRWVu7evRvHZwRAx9WRCiyhUJiQkCCRSJq019XViUQiocLt2w0NDRYWFootWlpa2OcahULhcrk6OjqKvdra2gKBQCAQEFq+M6ktpFIpiqLC/95gzufzyWSyYiOVSuXxeEL87kNHUVQkEhGJzVwItrA02LA0/HX225N3Gm/tuTvDRjx41lg2m62np9ckAV1d3YaGBuWzwip3HJ+FkqRSqUwm00hcBEFkMtlH99TV1aVSqcpkKJPJWho41cFqxCbpNTQ0fJiznp4em802NzfHJa4GBw57ryq5P7ZkO/Lfl0hXV5fL5QqFQjabraur26Ri09PT43A4WK/ivyyRSEQgEPT09D7pX5YyOByOrq5uk2MaGBiw2WwrK6tmR1NHRwdLD9tsbGwUiUQpKSkfHpxKpTZbYJFIpD179mzcuHHv3r0UCiU8PHzw4MG4PSUAOi71njBTiQ8vER4/fjw0NBT7ixxz8+ZNd3d37BLhzp07J06cqLj/+fPnAwICVJdhs5cIg4KCzpw5o9gyZcqU7du34xhXmStNUpks7sKdUeuuLVx64tmNu0ZGRorXierr683NzYuKipQPCpcIW9IRLxHevHnT09NTMZns7GxTU1Mc0+solwhlMln37t0fPnwob5FKpf7+/jExMSiKCoVCY2Pj3Nxcea9QKOzdu3dycjKKoiwWS19fv7i4GP3/S4RcLtfe3v7p06e4PR8URVE0JSWlZ8+eAoFA3vLq1StDQ8OGhgYajXb16lVfX1+JRCLvTUtLs7Gxkdea6GddIszOzh4zZoxYLBaJRCtWrNDW1q6rq2vzUwGgw+ucBZZQKPTx8VmwYEFxcTGNRouLi7O2tk5KSsIKLA6H4+rqumrVqrKystra2piYGHNz87S0NNVl2GyB9eTJE3Nz8wsXLtTU1JSXl69Zs8bFxaWhoQHHuMr/nubzBft3/jl4Q8Lq2ZuDvwh4+vQpg8HIyMgYOHDgp95RAQVWSzpigSWTycLCwr766quCggI6nX7nzh0XF5dTp07hGLejFFgoil65cqV79+43b96k0+lv3ryZOXNmYGCgvF45fvx4jx497t69W1dX9/r16y+//HLkyJHyP/N27tzp6emZmppaUFCQk5MzYsSIqVOn4vyUUBRF0bFjx0ZERLx69aquru7evXtubm6HDx8WiUQ0Gk0qlQ4aNGjatGlFRUV0Oj0pKcne3h4rEOU+o8Bau3bt0aNHsZ+FQqG+vn5lZSVeTweAjqtzFlgoitbU1CxatMjW1pZKpQ4cOPCvv/5CURQrsFAULS8vnz17tpWVlZ6e3pAhQ/7++2+VZthsgYWi6IMHD4YOHaqnp2dlZRUZGVlWVoZv3E/9PV1WWLZo7dkxKy9+PSiCTCa7ubn98ssvin8NKwMKrJZ0xAILRVEmk7lmzRpHR0cymdy/f/8mv4/brgMVWCiKxsXF+fv7a2tr29nZLV26tMmpmgsXLvj6+pLJZCcnp3Xr1il+k0YqlZ48ebJPnz5kMtnFxWXLli3Nfia0XUNDw8aNG52cnMhkct++fc+ePYtdcabRaCiK1tfXL1++3N7enkKhfPHFF1evXm3y8M8osH777belS5diP79792748OF4PA8AOjwCqvQtCO1WWlra999/n5WV9dE9BQIBn89vMiuMGmB3b8jvclAbOp1ubGxMJpM/6VF/X767N4vlIuOuXzjMxsXuU4NKpdK6ujorK6tPfWAb8fl8kUik/imamEymjo5Ok1nWmmVsbLxq1apNmzZ9dM/PG7g26moDx2KxKBSKrq6umuPW1taam5traWmpM6hYLGaxWBYWFh/dMzk5edeuXQ8ePFD+4FKpdO3atdra2vb29nQ6ffHixer/jAWgHepIN7kD9Rg6ZXj/UNbRQ9dnnMqYZfv8m8Xj1Xy3NQCgA9HS0tqzZ4+mswCg3fnkX5wJCQn79+9v+9x0oD0zNDdetyXywDCbOyWcOWsuFGW80nRGAAAAQEeiVIG1YMGC6dOnl5aW3r59e/z48b/99tuoUaMUZwcGnZJnqP/prZMCjGWL4oqO7b0qFqp1WiYAAACg41KqwCorKzt79qyjo2NMTIyjo2N+fv6TJ08UV4EAnRVFT3fBpsjfv3R9Ucn6ZvO1/IwuukYKAAAA8EmUKrAcHR2xiTrv378/ceJEEolkYmKiojk5QTvk0N/j2L55kU6k5ddeRe+8KhB8wvzXAAAAQBekVIHF4/GkUumTJ08qKirkC7lkZ2erMjHQzhAIoxZOOj+tF626buaPcS/hVBYAAADQMqUKrDFjxri5uY0cOdLb2zs4OLikpOT48eNq/g45aA+s+vQ6tDfqawvxsriCAweuiyUfXx8GAAAA6IKUKrCmTJkSHx//+++/379/n0KhvH//XiqVrlmzRtXJgfaIRPpy1YwzY+xeF9Nm/HD1dX6pphMCAAAA2h1l58Hy8PAoKyv79ddfTU1NQ0JCFi9erNK0VIHFYt27d49Opw8ePNjd3V3T6bRfMpksLS3t7du3zs7OAwcObHZGRLtA32N9Pa7sOf/dxZxxDgWL54WRtVQ7VxaTyXz8+DGbzfbz83Nzc1NpLM3Kysp6/Phxjx49hgwZosz8pV1HdXX148ePZTJZYGCgnV3TKXArKirS09OJRGJwcLC1tbVGMgQAADll78EKDQ0dO3bsTz/9tGTJEh8fn/Xr13esKeDj4uJ69ep1/PjxGzduhIWFzZ07VyKRaDqp9qi0tNTf33/JkiXJyckrV67s37//mzdvmt2TSNX5+oeoo4NMMl6/X/DDpbLSWtVlFRsb27t37yNHjsTGxg4bNmzevHmdcvjYbPaoUaOmTp169+7dnTt3enh4pKenazqp9mLfvn0+Pj7nzp27ePGin59fdHS0Yu+WLVv8/PxiYmLOnTvn7e198OBBTeUJAAD/UmY9nTVr1ri6up4/f76yslIoFBYVFX377bdXrlxR6SI+ymt2LUJFr169srCwyMrKwtYi5PF4YWFhmzdvVluGLa1FqGqfuqSdVCodMGDAjh075C0HDhzw9vZu/SAiGv3Isj2hG67HXn+CqmAtwvz8fAsLi+zsbGyTy+UOHz78xx9/bLJbJ1iLcOrUqVFRUWKxGBu4Gzdu2Nra0ul0nDL9iPa8iOTNmzcdHR3lSwjX1ta6u7v/+eef2OaFCxd69+6NrbWHomhFRYWDg0NycnLrx/y8tQjbrqamRr4+tNrI1yL8qM9YixAA0CylzmA9ffr00aNH06dPt7W1pVAorq6uhw4dys3NVXXxh5czZ87MnTu3b9++2Kauru6vv/567NgxzWbVDmVmZjKZzLVr18pbsDVc09LSWnkU2cJ88f6Vh3xIlx8Ufrs1tr6hEd+szpw5M2/ePB8fH2xTT0+vUw4fg8FITEw8cOAAifTvhfsxY8b4+/vHx8drNrH24LffftuyZYutrS22aWlpuWPHDvlUfMeOHdu5c6d8ob3u3bv/+OOPne8dAgDoWJQqsDw8PJosAUsgEOrr61WTEv6qq6sdHR0VW5ydnel0ulgMU5P/R3V1tYODQ5MZzpydnd+/f//Rx/aaNPqPJUO61ZTM3JOS+bIS36w+HD4ajdbJrhJiawA3WXvY2dm5urpaUym1H9XV1U5OTootiq9M670AAKARShVYJBIJ/e8dVyUlJc+fP1dNSvhzdHR8+fKlYsuLFy/s7OxgpokmHB0dCwoKFOtOqVSal5fn7OyszMN1new3/rpsiQH9wL3yX07cFUvxmcSh2eGzt7eXn+npHLCrgU3+bnnx4oWSL37n5ujo2GRtLsVXxsnJqZVeAADQCKUKLC8vr8jIyGfPnlVWVmZnZ+/fvz8oKCg4OFjVyeFl/vz5sbGxiYmJ2GZVVdX8+fPXrVun2azaIS8vL29v76VLlwqFQgRBxGLx6tWr7e3tBwwYoOwhSKQRq+fs8yUVvCieszW+rJbd9qzmz59/9erVGzduYJuddfgMDQ2joqIiIyPZbDaCICiKHjp0qLS0dMKECZpOTfNWrVq1bdu2zMxMbDM/P3/9+vXymWLWrFmzbt26V6/+XZI8IyNj+/btK1as0EyuAACAIIiS0zTMmzevoKAgICBAfh4rPDx827ZtqkwMT927d4+NjZ07d+7KlSu1tbVra2uXLVvWEWeaUDUCgXD27NlFixZ1797dwcGhoqIiICAgJiaGSPy0KRgsggecCNE6u+XEnEPkeYF2U0f1bUtWdnZ2cXFx2PBRqdT3798vX7580aJFbTlm+7Rr166VK1c6Ozvb2toymUwHB4eEhAQ9PT1N56V5/v7+hw4dioiIMDIyIhAIDAZj165doaGhWG9YWFh0dHRoaKi5vpeolgAAIABJREFUublMJmtoaDh69Ogn/FUAAAAqQECVnm3hzZs3z54943K53t7e/v7+7WctwrS0tO+//z4rK6v13SQSyYsXL2g0WmBgoKGhoXpyw7DZbBKJpP7flHQ63djY+DOuhFZVVWHzYH0429BHSaXSuro6KysrBEUzj12IfkfsaWvyw6LhBtQ2XZCVSCSFhYVsNtvT07PZ4ePz+SKRyNjYuC1RPgOTydTR0VFmwipjY+NVq1Zt2rSp9d3q6urS0tLc3Nzc3NzU+a/sfwOnXsoPnFAozMvLk8lknp6eH77gjY2NeXl5RCLRy8uLQqF89GgsFotCoTS56U0NsJvtmp1eTnXEYjGLxZJ/D6AVycnJu3btevDggeqTAqCT+4S7WFxdXV1dXeWbMTEx06ZNU0FKqkIikXr37u3o6Kjm6qojsrW1lX9j6/MRCL6LZ5xK/2fbuSeRO0V7F4Q4djP57IORSCQPD4+2ptQRmJubBwYGGhsbt5+/YdoJbW1tX1/flnqpVKqfn5868wEAgFY0X2AVFhZWVFS08jChUHjixImOVWABjTAPHLDPw+3i5mPzDxOWDXMeNdRL0xkBAAAAKtd8gXX9+vXOdxMx0BSikdGMg+sGXIzbfCMr/WXFxkUjqBS1Xh8BAAAA1Kz5m5cHDRo0Y8aMd+/elZSUlJSUzJw5c9asWdjPRUVF8fHxU6dOLSkpUXOuoENz++bL05H9CHkvZ0QnvCmv03Q6AAAAgAo1fwbL19d33rx58olk8vLyUlJSTEz+vYHG1dWVRCL98ccfW7ZsUVOaoFPQ9/baus/p2qZDi48TFw1y+nKEt6YzAgAAAFSi+TNYFApl0KBB8k0jIyN5dYUZMmTI/v37VZsa6IwIBvqTDq7/1UV4+VbO5l+TG0VSTWcEAAAA4E/ZiUZZLJZiy+3bt2F6HvDZes2ZcmK6jyAvb8a2xLdVTE2nAwAAAOBMqQJr2bJlX331VVpaGoPBePPmzZ49e2bNmjV8+HBVJwc6MSNf75275k2m5y46mhp/98XHHwAAaN9QFE1NTc3Pz9d0IgC0C0oVWE5OTtOnTx86dKiZmVnPnj1Xr14dEBCwZ88eVSfXadTX1zc0NLTUW1tby+FwWuqtrq7m8XiqyUvDiCYm4/as3kgsPHMnf9epv8WSpmsX8vn8Vpbs5XA4tbW1LfWy2Ww6nY5brgCAVuXl5UVGRvJ4PHd3d03nAkC7oOwSKJGRkXQ6/e7du+fOncvOzr5165alpaVKM+scbt261atXL09PT2dn56CgoCbTzcfFxbm4uLi4uFhaWoaGhsoXU8OcP3/ezs7Ozc3N3Nx8zJgxxcXF6s1dtaqqqiZNmmRibh7x63bk8qaypznzdtyoYTVivcXFxWPGjDEzM3Nzc+vevfvZs2cVH/v69ethw4ZZWlq6uLg4OzvHxsYq9mZnZw8cONDa2trR0bFXr17Jycnqe1YAdEl5eXmrV68+cuTIyJEj1TxJPQDt1iesMWdoaDhs2LAZM2b4+PgQicTbt2+rLq3OIT09ffbs2UePHq2urqbT6YsXLx41alRZWRnWe+vWrWXLll28eJHL5fJ4vMmTJ4eFhdFoNKz38uXLW7duvXHjRkNDA4fDCQkJGTFiRCunwToWgUAwevRoNzc3NpvNZrN33fmr4J8zfjkpM/fcuffsbUNDw4gRIwYNGsThcBoaGv7666/t27f/+eef2GPpdHpYWNjEiRN5PB6Xy42JiVmxYkVSUhLWW15ePnLkyIULF/L5fB6Pd/To0blz56alpWnuuQLQyclkstmzZ0dHR+vr62s6FwDaE7Rl7969Y7FYMpnszQfy8vLGjRvXymPV6fHjx3379lVmz8bGxvr6elXnIzd06NCzZ8+iKMpisbhcLoqi69evX7RoEdbbt2/fxMRExf0XLly4YcMG7GdHR8dHjx4p9k6ePHnPnj2flACNRhOJRJ+d/+eRSCQ1NTWt7/PHH38MGzZMsSU/P9/CxOTx1gMj116dt+HkV5OmKPampaXZ2dlhP//www/z589X7L1582afPn14PB6Tyfzuu+/Wrl2r2Hv+/PmQkJDPfjofxWAw+Hy+MnsaGRlFR0crs2e7HThVwAZO/XGZTCaPx1N/3JqaGolEouagIpGIRqMps2dSUtKn/ntJTU21trY+ffo09ndRkw8uALqs1tYiDAwMHDt27PHjxwMCAurqND8zJJ/P9/PzEwgETdoFAgGVSpWf+2kF9pyV2RMX+fn57u7uNBpNJpMRCAQej+fp6XnkyBEsgVevXrm5uSkm06dPn5s3b9JoNIFAUFZW5uLiotjr7e2dlZX1ScnLZDIGg6H+Je1kMlnreWZmZvr4+CjuY25uLkEQ3TGDDua+3pXGRRxGFpRUmer9uz60s7Pz+/fvS0pK9PT0cnJyFE/1IQji5ub2+vVrDoeDomhubu78+fMVe3v16pWfn6+6QZfJZCKRqJW76OSsrKzs7OyUyaTdDpwqqPlfpZxMJhMKhVwuV/1x6+vr1RxU+Re5vr6+qqrKxcXlw66FCxeuXr36w/bU1FSRSNSvX7/Zs2fv3LlzwoQJZWVl6l9FG4D2prUC6/Lly/b29kQiMTQ01N3dPSAgQH5xXSgU7t69Wy0Z/o+uru6lS5dEIlGT9tzc3P379zeZqatZIpFIIBCobbFnU1NTgUBgYmLC5XK1tLSoVCqfz7e0tMRSNTU1FQqFimlzuVwrKysTExOZTEalUiUSibm5uWKvjY2NMk9TjslkGhgYkEifsKR328lkMhaL1Xqe1tbW5eXlivvw+fzGxkYHBwcDT0+nJ98TSnWX/26yeUrf/m7WCILQ6XQKhWJjY6OlpWVpacnlchUfW1dXZ2pqqqurKxaLLSwseDyeYu+bN2/MzMw+6XX7JA0NDdra2tra2h/ds76+nkajKZNJux04VRAIBGKx2MDAQM1xORwOmUzW0dFRc1wGg2FkZEQkfsLtGW0nkUg4HI4yg2tgYGBkZHT8+PEm7QQCQT71dBMMBiMoKMjHxwdBkBUrVvzwww9FRUXYJgBdmjKnue7cuUOn05s0Xrx4EZ+TaG3Wbi8R/vzzz8OHDxcKhdglQhaL5ebmFhsbi/WuXr36q6++EovF2GZtba29vf29e/ewzXnz5s2dO1cqlWKbpaWl1tbWGRkZn5RAu73SVFhYaGFhkZ+fL29ZtWrVhAkTsJ8zMzNdrK3j568bviH+TGKmRCKNioqaM2cO1nv//n07Ozt5CIlEMmnSpJUrV2JXmuLj43v27Cm/5CQUCkeMGLFt2zacn6QCuETYRnCJUA1Ueolw79694eHh2M8ymUxPT+/9+/efmuH/sXfn8VDt/x/AP8MYY9+pFCJRttDmFiLqomhRSptbKtpzuyWhTd1S3VJXSaV9176g23aL1qsSSmUt+zAzlmH2+f1xvt/5+SJO7mzq/fyjh/mcM+fzMp8zx7uzAvD9wfVf5JcvX7q6ugpfZmRknDx5kkwmBwYGiq3w+x6sXr369evXlpaW7u7uPB7v9u3bc+fOnTRpEjZ18+bNEyZMsLKyGjNmTGNj440bN1atWuXu7o5N3b17t7e3t52dnbu7O5VKvX37dkxMjKOjo/R+G1Hq37//7t27nZ2dPT09e/Xq9ffffyOEhJdNODg4rFq/PnjduvAh7+7U+Zy+9oCRX5h64wo2ddSoUUuWLLGysho/fryqqupff/1lYmISExPD5/MRQhMmTHj58qWFhcX48eMVFRVTUlIcHR3XrFkjrd8UgO/exIkTt2/f3tTUpKys/ObNG+waXmmHAkD6CAKBoPOZCIRhw4adP3/e2NgYa+HxeLa2tjJyQ7mMjIylS5e2ugNCu5hMZlNTk7a2tgRSCT169Oju3buKiorjx4+3tbVtNfXu3btPnz5VVVX9+eefBwwY0HKSQCBISUl5+fKllpaWj49Pu2dFdIxCoWhqaiooKPyrX+Ab8Xi8mpoaAwODTuf88uXLjRs3KisrHRwcxo8f3+rq7sLCwlu3bim8ffeJa1zW1yp2kZuR7v9fo5SXl5eSktLY2Dh8+HDsnrdNTU1sNltTUxMhlJ2dnZaWxmKxnJ2dWz70SRxoNBqZTFZSUup0Tk1NzVWrVkVGRnY6p4wPnGi1HDhJotPpJBJJ8qcKVVVV6erqSvheBhwOh06n6+npdTpnSkrK9u3bHz58+E3Lv3Llys2bNx0cHMrKysLCwlqe2wDADwvXHqzBgwdXVFTY29ufPHnSx8cHISQvL29hYSHmbN8JFxcXOzs7IpHY7sOFPDw8PDw82n0jgUDw9vb29vYWc0Cp6dOnz6JFi7421dTUdOnSpQghXmnpiaj98+PQ2km2o+z/U+JbWlp2cD9DGxsbGxsbkQcGALRr4sSJEydOlHYKAGQLrhMtrayssrKyRo8ePW7cuIiICC6XixCCW54AyZDv3fuXQ5u2KRbsPvt069G/ubzO97kCAAAA0oWrwBIIBJqamhcuXNi+ffv27dtHjx5dUVEh4atgwA+NSLSPXHFwiNLn51kh227WNLCkHQgAAADoCK4iCbuBOIFAWL169Z07d969ezdo0KCsrCwxZwPgf/SY4he31MPm/dOg2NS3+V99CiEAAAAgdbgKrJycnMWLFxcVFSGERo8enZmZ2adPnzdv3og5GwCtKVoNXHYgYjEtc1XSs+M3Xks7DgAAANA+XCe5f/r0qeVLIyOj9PT0devWiScSAB0hqKl67dvYd9/h9fdon4qrI0M8yArwcFkAAACypYvnUZHJZAcHB9FGAQAvAsFy2fwEH+PmN2/mbr1RRun8MTUAAACAJHW+B6uuru7ixYutGlksVmJi4owZM8STCoDOaXm6betrlLA5ad5ewqYAB2tTHWknAgAAAP6j8wKLTCYvX768qalJAmkA+CYK/cyW7I+wXBsbdZrnP8jAf4yVtBMBAAAACOE5RKioqOji4pKbm8tmszkcDofDycrKWrJkSVUVXMYFpI+gouK5d+NhO5Tx6O2a+Ac0RutngQMAAACSh+scrC1btgwcOFBBQYFIJBKJRFtb26lTp27btk3c4QDAqc+0SXvmDDb78Gr29pScgmppxwEAAPCjw1VgtT2f3czM7OTJk2LIA0AXkaytFmye9wslc0XS07O34R4iAAAApKnzAovP5ze20NDQUFpaun37djxPiQZAkgiampP2b9xrQLn819vofWlMDk/aiQAAAPygOj/JnUaj6enptS2nli1bJp5IAPwLBMLAZcGJjzJiTj6dt6UpdomnoS48NBMAAICkdV5g6ejoDBo0aMKECebm5gQCASFEIpF69+49ZMgQ8ccDoCu0XEZs72d6POrAL3vk1o4f6DbMXNqJAAAA/Fhw3cl9/vz5ISEhWHUFQLdA7NVz3sHovtsObrvCKy6uDpo6AtZfAAAAEoPrJPfQ0NC21dWZM2fEkAcA0SES3SMXJ1jx7me8/3XXrYZmjrQDAQAA+FG0vwfrw4cPX7586eBt2J3cAwMDxZMKAJHpO2vKYaeCvb+fmb6FEzNjyKABhtJOBAAA4PvXfoF19erV8PBwCUcBQEwU+5mt2r/aev3e1SdRoOOXOZOGw+FCAAAAYtX+IUIXF5dZs2YVFBQUFRUVFRXNnj17zpw52M8fP368cuXK9OnTi4qKJJwVgC4jKCp6bfttnzU/5fGHX7dfbWBypZ0IAADA96z9PViOjo7BwcGmpqbYy5ycnLt372ppaWEvzc3NiUTi0aNHN27cKKGYAIiCReCkJPsPv8ddnxNz7fdfRliY9ZB2IgAAAN+n9vdgkUgkFxcX4UsNDQ1hdYVxc3PbvXu3eKMBIAYqAyw27wyd3FS46OiLyzdfSjsOAACA7xOuqwhtbGzodHrLlrS0NBUVFfFEAkC8CKqqM/74bVff5uMPP0XFXoEbvgMAABA5XAXWihUr/P39MzIyqFTqp0+fdu7cOWfOHE9PT3GHA0B8Bs0LOOhnVvG5auGmyxVV9M7fAAAAAOCG60ajffv2nTlzpru7O5vNxlo8PT137twpzmAAiF0P52EHLM3iNh+fvfdhpEdfVzc7aScCAADwncC1BwshFBQURKFQ/vrrrxMnTrx+/To1NVVfX1+syQCQAAU93VVxYRt6NW5L+RAVe4XFhqsLAQAAiADeAovP5z969CgjI4NOp8vJycnJ4X0jALKOQBixeOaJGTa1X6rmrk/+XFyJ831sNvvQoUPh4eHr1q27c+eOWDMCIPvKyso2bNgg7RQAyApcdRKDwRg9evT48eM3bNiwbNmyQYMGrV27ViAQiDscABKjZzfgz9ggT7mauYnPUq+mdzo/nU53cHA4c+aMsbGxqqoq9rxOCeQEQDYJBIKVK1ceOHBA2kEAkBW4CqxNmzaVlZWdPHmytLSUxWJ9+PChoaEhOTlZ3OEAkCQ5JXLQliWbLQR7n5Rv2nKWw+ro2YVhYWFDhw598OBBaGjo2rVr3759e/fu3cuXL0ssLQAyJTk5+aeffiKRSNIOAoCswHWS+7Nnzx4/fmxgYIC9NDc337dvX1RU1JQpU8SZrTWBQHDz5k0mk9mq/cOHD83NzW3b2+JwOHw+H8+cosXj8RBCku9XIBCwWCysd4nh8/kCgUDyvyyHw+HxeP++X/sAr8N5+VuS0oOiLmycNbS3eZ92Z7t+/frjx4+ZTCaPx+NwOIqKiqGhoZcvX/b29v7akhUVFVVUVPAkFAgEbDYbBk6ssIGT1rdSwmdZ8Hg8nIPb3NxMpVIvXrzYdtKgQYPMzc3bfVdtbW1VVZW1tTUUWAAI4SqwrKyshNUVhkAg1NbWiifSV7FYrLNnz3K5rU9DrqmpYbPZzc3NnS6Bz+fzeDw8c4oWl8vl8/l8Pl/C/WKbcg6noz0x4uhUIBBI/kPm8Xh8Pl8k/SoZG26KmHh138XQM9mLLfJc/Ua2naexsVFRUbG5uZnH42HFkKqqan19fQcBVFRUVFRUcK6oTCZTwn+DsYP+3XrgvrVfgUAg+W8lQojJZBIk+zhMbPuD50NmMBhMJrPdAovJZH6twDp8+PCKFSseP35MJOL6mwLAjwDXl4FIJAoEgpZbhKKiopcvJX0XbDKZfObMmbbtGRkZS5cubXWv+XYxmcympiY8c4pWXV0dkUiU/K1ZKRSKurq6goKCJDvl8Xg1NTWS/5CbmprYbLampqaoFjhvyxLLs7djXjcWlN5c8utURSXFllPt7e0zMjJmzZpFo9HIZLKSktKDBw8GDx7cwS9OpVKrq6vxfDIwcBJAp9NJJJKysrKE+62qqtLQ0JCXl5dkpxwOh06n4xlcXV3dXr16XbhwAf/CHzx4MGLECEVFRYSQhAtHAGQZrgLLxsYmKCho0aJFhoaGFArl4cOHO3bsCAgIEHc4AKRrxHTvE44lGxLuzF5/aXOAfX/HAcJJf/zxh6+vr7y8vKura319fXx8/IsXLxISEqSYFgCp2Lx5c3l5OUKIwWBUVVWZmpoePHgQ7kQNAK4CKzg4OC8vz8nJSXjl4M8//xwTEyPOYADIBL3+xvG7gq8cuBx66ePke29CwqbIEYkIIScnp7Nnz65du3bu3LmKioqenp7379+X/G4YAKTu/v372A937txZsmTJx48fpZsHABmBq8AiEAi7du0KCQl5/vx5Y2OjnZ3d8OHDYVcw+FEQCBMXTbb9513U+VdZq09snO/aY4AZQsjDw8PDw0N4iFDaKQGQpqNHj16+fLmoqGjr1q3Tp0/v27evtBMBIGW4Cqzs7GwVFRVjY+OvneEIwHfPbPDAY9b9/th1afbxrNV9X3kslOgltADIuF9++eWXX36RdgoAZAiuy5RGjhzp4+NDp8MDccEPjUQmha+bvt7N8I9iuY2/JTRV10g7EQAAABmFq8Dy8/Pz9/dv9fDB+Ph48UQCQKaNGDvs1CrPWiWtOdtScq/CE3IAAAC0A1eBtXbt2oKCggMHDrx//z4/Pz8/Pz83Nzc1NVXc4QCQTdo66nEbA/ysdJa9bL606wyfLdE7jQEAAJB9uM7B8vb2Li4uPnv2rLjTANBdEAho5jxvm6zCqAs8i79fO/u6SjsRAAAAGYKrwPL09NTW1nZzcxPeHI/FYu3YsUOcwQDoBuzsTI8baZHJZGkHAQAAIFtwFVizZ8/u27evoaFhy8a6ujrxRAIAAAAA6N5wFVgjR45ECFGp1MrKSktLS+wRaYGBgeKNBgAAAADQPeE6yZ3FYgUHB+vo6GBPfd60aVPbJy4D8F36/PnzjRs3UlNTq6ur204tKChISUm5e/culUptOzUvL+/q1av37t2D3b0AAPCjwbUHa+vWrUlJSaGhoT4+PlwuNy0tbc6cOadOnYKbuYPvW3h4eGJi4rBhw1gs1ps3b37//feFCxdik/h8/tKlS8+dO+fo6Njc3Pz+/fu9e/cKd+tyOJx58+alpKQMHz68tra2sLAwMTFRer8HAAAAScNVYJ06dWrVqlWxsbHYSz8/v5MnT168eHHq1KnizAaANCUmJl6/fj0nJ6dXr14IoezsbE9PzwEDBri4uCCEduzY8fLly7y8PCKRSCaT3759O27cuAEDBtjb2yOEoqKiSktLP336hD2d8N69e9OmTePz+dL9jQAAAEgMrkOEFRUVvr6+LVsCAwPj4uLEEwkAmZCQkLBnzx6sukII2djYREZGJiQkCKfGx8fr6elhL4cNG7Zs2bLDhw8jhAQCQUJCQmJiovDZz6NHj545cyabzZb4LwEAAEA6cBVY3t7eFAqlZQuXy83Ozm7Z8v79e1HmAkDaysvLWz1809TUtKKiAvu5oqKi7dTy8nKEUHNzc0NDg5mZWaupAoFAzJEBAADIClwFVlJS0o0bN2pq/v/Ja4mJia3+usAOLfCd6du3b05OTsuWt2/fGhsbYz+bmJi0nWpiYoIQUlZW1tXVfffuXaup2OW3AAAAfgS4zsEaNmxYaWnpqVOn1NXVsRYajaagoKCrq4u9ZDKZDAZDePQEgO/AqlWrli9fbmlpif1fIiMjY+fOnXfv3hVODQ0NvXnzJvaluHPnzpEjR549eyacOm/evCtXrvTs2RMhlJycfP36dRKJJKVfBQAAgKThKrBsbW1NTU2HDh0qvJN7KywW6/z58yINBoCUTZ48ubi4+KeffjIzM2OxWDU1NQcOHBg0aBA2NTg4uLS01NHR0dTUtKmpicFgnDhxol+/ftjUX3/9taqqytraesCAAbW1tQihCxcu+Pn5Se2XAQAAIFm4CqxJkyYNGjTIwsKig3nU1NREFAkAWfHrr7+GhoZmZ2crKipaWVkpKCi0nLphw4Zff/316dOn2tragwYNIhL//9skJye3c+fOqKionJwcLS0tCwuLr/3nBAAAwHcJV4EVEBDQ6TyrV6/+12EAkDnKysrDhg372lQ1NbUhQ4aQyeSW1ZWQhobGiBEjxJkOAACAjIKzbgEAAAAARAwKLAAAAAAAEYMCCwAAAABAxL65wLp27dru3bsLCwvFkQYAAAAA4DuAq8BauHDhzJkzi4uL09LSJkyYkJCQ4O3t/fbtW3GHAwAAAADojnAVWCUlJcePHzcxMTlz5oyJiUlubu7Tp0/3798v7nAAAAAAAN0RrgLLxMREXl5eIBA8ePBg8uTJRCJRS0uLQCCIOxwAAAAAQHeEq8BiMBg8Hu/p06dfvnzx8vLCGl+/fi3OYAB0DxQKpaGhQdopAJCaxsbGhQsX6uvr6+jozJ49G74OAGBwFVjjxo2zsLDw8vKys7NzdnYuKio6ePBgq7taA/CjuXTpkqmpqa2tbe/evUePHt3q6c4A/CBSUlJ69OhRUFBw586de/fuxcTESDsRADIB753cBw4c+PHjR3d3dxKJVF5ezuPx4Nbt4EeWkpKyZMmSpKSkIUOGyMnJJSYmjhkz5vXr13p6etKOBoBEqaurR0ZGKigoODo6BgUF5ebmSjsRADIBV4GFELKysiopKdm7d6+2trarq+uiRYvEGgsAGRcREXHw4EEvLy8ajUYmk8PDw4uKiuLi4uC/7+BHM3bsWOHPHz9+dHFxkWIYAGQHrgKLwWCMGzfu4cOH2EsCgbBmzZqtW7dK+Dz35ubmESNG1NXVtWpnMplKSkrV1dWdLkEgEAgEAjxzihafzycQCAwGQ/L9UqlUyV+OwOfzJf8hS3hw379/b2lpWV1dzefz2Wx2Q0ODnZ3d7du3Owigp6fXp08fPAlh4CSAz+ezWKzGxkbJ91tbWyvhTvF/yLW1taWlpWZmZm0nrVixYunSpR28t6ioqK6ubvHixV0PCsB3BFeBtWnTprKyspMnT7q5uenp6ZWUlMTFxSUnJ0+ZMkXc+VpSUlI6evQol8tt1Z6VlfXHH39oaWl1ugQ2m81kMtXV1cUT8KsaGxvl5eWVlJQk3C+NRlNTU2v3OcTiw+fz6XQ6nuEQLSaTyeFw1NTUJNOdlpYWm83W0tKqr69XVFRUVFRsbGw0MDDo4Ben0WjV1dV4PhkYOAloaGhQUFAgk8kS7pdKpWpoaMjJSfQpGlwut6GhAc/gqqmpaWpqHjx4sO2k3r17d/DGxsbGsLCwEydOKCoqdj0oAN8RXFvwZ8+ePX782MDAAHtpbm6+b9++qKgoCRdYCCE7O7u2jUwmk0Qi4TnpnsfjEQgEyZ+eLycnJy8vL/l+CQQCkUiUcL88Hg8hJPlflsPh8Hg8ifUbGBi4cePGc+fOYYNLo9H+/PPPY8eOdRCAy+WyWCw8CWHgJEBa30qEEJFIlJeXl3CnODd9JBJJVVXV0dHxmxbO4XAiIiL27NnTo0ePrgYE4HuDq8CysrISVlcYAoEg+b3cAMiOzZs3jx07dsiQIcOHD+fz+VeuXFmwYIG7u7u0cwEgaTweb+XKlTNnzlRRUampqUEIaWhowGXmAOAqsIhEokAgaHlGSFFR0cuXL8WWCgBZp6ys/OjRo7/++uvhw4dDOkVgAAAgAElEQVSampoPHjwYOHCgtEMBIAVhYWHx8fHx8fHClqdPnw4fPlyKkQCQBbgKLBsbm6CgoEWLFhkaGlIolIcPH+7YsSMgIEDc4QCQZQQCYcyYMUOGDCGTyZI/wQ4AGREXFxcXFyftFADIHFwFVnBwcF5enpOTk0AgwFp+/vlnuBwdAAAAAKBduAosAoGwa9eukJCQ58+fNzY22tnZDR8+HJ5FCAAAAADQrm+4Dtzc3Nzc3Fz4MjU1dcyYMRK+2BgAAAAAQPbhLbCYTGZ+fj6dTsdeslis33//veUNfAEAAAAAAAZXgXX//v1p06ZRKJRW7a0uLQQAAAAAAAhngbV8+XIjI6OkpCRjY+OWFRVUVwAAAAAAbeEqsD59+pSVlWVhYSHuNAAAAAAA3wFcBZajo2Pb2/IWFhaampqKIdI3a2xs/Pjxo5OTU6dzampq6urq5ufnSyBVS0ZGRiwWq6qqSsL9WltbFxQUNDc3S7JTRUVFS0vLrKwsSXaKENLV1VVTUysqKpJwv6ampnV1dXgebNDQ0HDgwIFbt251OqdUBo5EIg0YMEAqA6eurl5YWCjhfk1NTevr67E7j0uSnZ3d+/fv2Wy2JDtVUlIyMzPLycnpdM6amho6nR4eHi6BVAB0mby8/OrVqzU0NKQdpCO4CqyzZ8/Gx8dv3bq15fOztm7devjwYbEF+2Z4rmdksVh1dXWSv/KxoaGBw+FIvt/a2loulyvhfnk8HoVCkfwv29zcLBAIJN9vXV0dk8nE0y+RSFRVVcUzZ01NDQycuOEfONGiUCg8Hk/yD3uuqanB0ymbzebxeE1NTRJIBUCXnTt3zs3NzcPDQ9pBOtJ+gRUbG7t///6WLTQaLTExUVgtYvtjZKTAUlVVNTIy2rt3r7SDANARLy+vJUuW/PTTT9IOAsBXHTlyJD09fc6cOdIOAkBH7ty5I+0InWu/wOrXr5+ysvK4ceO+9j8eJpN56dIlcQYDAAAAAOiu2i+wRo4cGRwcHBYW1sE7VVVVxRMJANCd8Pn84uLi169f9+zZ87vfP8dkMnNzc1+9ejVlyhRNTU1pxwEAyK72d1Dp6+t3XF0hhJydncWQB8gENpvN5XJFNRv4vlVWVt6+fXvbtm14zqFuS7RrkUAgOHfunIeHx/jx45OSkhYsWHDx4kVRLRwh9OLFi5MnTx48eLChoUGEiwXiI+5VQqbANlmmtF9g1dTU5HcoNze31Ula4Lvx6tWrcePGdXpVV6vZXr16NXbs2LKyMvEHBLKlV69eS5Ys0dLS6sJ7W61FDAYjNDQ0ICAgNTW1rq5u9+7d37rApKSkysrKvXv3/vLLLyNHjnz16hWTyexCsK9xcXGZNm2aCBcIxE3cq8TXSH6TiHPTDSSm/UOE8fHxGzZskGwSICuqq6upVGqnfy9bzdajRw9nZ2cZv2gWyJpWa1FaWtrcuXMLCgrOnDmTmJi4ZcuWb1oajUY7ePBgQkLCwIEDBw4ciBAik8kizwwPYO1GJLNKtEvym0Scm24gMe0XWC4uLj4+PsuWLevgJPcdO3aIMxiQGuyeZ2pqat80W69evSIiIuDm/uCbtFqLJk2ahBAaMmRI1/YSlZaW8vn8ln/SYIX8wUlxlZD8JhHnphtITPsF1rBhwxYsWDBmzJgO3llfXy+eSOCrTp06FR8fr6qqOmPGjKCgoPr6+qSkpDNnzsyZM2fhwoVnz54tLS0VCAQlJSWLFy+2tbXF3nX79u2SkpKioqLa2toNGzb06dMHa+dyuW3f8ujRo/j4eISQr68vQmjnzp16enpJSUn//PMPjUYbPnx4VFSUiopKq9mmTJlSVFT08uXLpKSkPn36dJBz0aJF165dy8/P53K5hYWFNjY28+fPl9j/KYG4PXny5M8///zy5YulpeVvv/3Wv39/hJBAIGh30HGubB0soWXXBQUF2CHF+fPnE4nEzZs3Dxs2rOUMX1vImzdvbt++/ezZs7i4uKNHj/79999JSUlmZmYVFRXthgHdhchXiXa3mdiicnJyTp8+/f79+8bGRl9f32HDhl27dk24SXzy5ElaWtrLly8PHz68ZcuWrKwsS0vLdevWaWlpRUdHZ2ZmmpqaRkZGCh+X0m5H169ff/z4cXl5+a5duyIiIvLy8oyNjcPCwoYMGYIQavttsrGxgY2tdLVfYCkrK2OD1AGBQCCGPKAjM2fOLCwsfPjw4cyZMxFC6urqHh4e2Gkry5cvt7W1Xbt2LULo8uXLS5cuvXTpkq6u7pkzZ/Lz86OjoxFCf/zxx5QpU7S1tXv06HHw4MGwsLC2b3FxcWlsbIyOjr558yaJREIILV68eP369evWrXv79m1ISMjly5dnzZrVajY6nX7+/HnhjUm+lnPx4sV79uyh0WgbNmwgEAhUKnXevHnY+Xxw2OU78OzZM+zPWGlp6fbt25csWXLlyhUVFZW4uLh2Bx3nyoYQ+toSWq42ZmZmy5YtCw4OPnTokJmZWdt4X1tIr1691NTUysvLDx061KdPHz09PeyPUExMTLthQHch2lWCz+evXLmy3c3siRMn8vLyoqKilJSUXr9+nZCQMHv2bGNjY+Em0cTERFFRsbq6+tChQ8uWLVNSUlq+fPmqVavs7OwWLVqkoqKyYsWK6Ojo8+fPI4S+1pG1tfXt27dLS0svXLiwadMmLpcbGRkZERFx69YtEonU9tsEG1up6/yDrqurO9xGfHx8bGysBPKBVvz9/evr6x89eoS9zMjImDVr1uPHj58+ferl5YU1urq6MhiM58+fCwSCEydOYP+/QQj5+Phwudxt27YlJSU9efKk3be07XHdunX6+voIIVtb2xEjRrx//77tPJqamsL/yXWQ8/Pnz6dPn54yZQq221xbW3v+/Pn//PPPkydP/v0nA6TOyMho7ty5ZmZmrq6ua9asoVKpz549+6ZBb3dlE8lq08FC9PX1Bw8ejBBycHAIDQ1NTEzEMuBZ80H39a2rxNc2sx8/fty3b9+qVauUlZUJBIKDg8O0adNabRJ79eplb2+PEFq4cKGFhYWRkdGUKVNKSkrmzZtnaWnZp0+fgICAgoICBoOBEPpaR6ampgMGDJCTk1uyZEnv3r1NTEwWLlxIo9G+fPnyTb+deD9W0ELnj8ohk8nLly+HJyfIiAEDBlhaWl6+fNnd3Z3P59NoNCMjI+zxdvv37yeTySQSSVlZ2c3NTUNDg81m19TUYF9a9N+zO7Gb97x7967dt7TtUV9f/86dO//884+cnFxZWdnX7v3T8jFKX8t5+/ZtgUCA/dHCYFuxd+/ejRw5UiSfD5CiXr16CX/GRpZGo+Xk5OAf9HZXtm9awtd0vBBs7XV0dEQIaWtrdxAGfDe+dZX42jYzPT1dWVlZuNoghNzd3VGbTSL2Ul1dHXuJ9St8qaenhxBiMpkqKiodbJzl5ORaPm6rZ8+eCKF27xgikm8N+Jc6L7AUFRVdXFx27dplbm6O1cLv3r07dOhQVFSU+OOB1ggEgr+/f0xMTHl5eWFhIfZNxg7Xrl27tu3pjXZ2dpcvX/by8lJWVr527Zqvry92DlYHb2mJwWAEBwcPHz58xYoVysrKW7duLS0t7XJO7OnFNBpN+LXHLniBaw+/P9gKZmlp+eHDB4Rv0L+2solktcGzECLx/7eHXV7zQXfxravE17aZOTk5DAajqalJWVkZf++tTn5v+RLnxrntQlqCja0swHUsdsuWLQMHDlRQUCASiUQi0dbWdurUqdu2bRN3ONCusWPHqqioXL169Z9//sEO/2GnF7S773fHjh1GRkZLly6Nj48fMGBAZGQk9p3s4C0YHo+HELp3796nT5+Cg4OxbQf2pW07G86c5ubmCKHMzEzhPBUVFdhOdfy/PpBNrW5v+Pr1a0tLS0tLSzyD3vHKJpLV5lsX0umaD7q7b10lvrbNxK7kuHv3rqiCdbpx7hj2bYKNrSzAVWC1HRIzM7OTJ0+KIQ/onJKS0rhx4y5evNirVy+sWnJzczMxMdmyZcvff//NZrPZbPaVK1coFApCKDs7OycnZ9GiRWPGjDE2Ni4oKGCxWB2/BfuL8uDBgxcvXrDZbIRQamoqlUo9ceLEhw8fhBVVq9mwOTkcTgc5bWxsnJycTpw4UV5ejv57h+VZs2Zh2wLQrTGZzCdPnmDXPX3+/PnixYtbt24lEokdDzqelQ3/aoMtAVvDsTk5HA62Tna8kLZrL6bdNR9bftuZgQwS4SrxtW2mq6urtbX17t27Hzx4wOVyGQzG27dv2y6h45ctGzvYOAu3tG3fhf7322RhYQEbW6mT7/SGonw+n8FgsP+LxWJRKJTY2Ni3b9+uXr1aIiE78eXLlxs3bmB30PlB9OzZ89y5c9HR0UpKSggheXl5Ly+v2tra5OTkM2fO5Obm2tjYWFlZIYQKCwsfPHiQnJx86b+uXr3q6uqqra39tbfo6+tnZmZevXqVTCbPnDkzPz//0qVLHz58CAoK+vjx49u3bxUUFGxsbFrOxmAwzp8/X1FRUVVVpa6uLrwTRKucBAJh1KhRtbW1J0+e/PjxY05OzsCBA6dPn/6D3Kzo9OnTrq6uwg/ne8Ln89+8eaOlpbVv3760tLTa2tqIiAhdXV3U2aDjWdlsbW3xrDb3798/ffp0eXl5VVUVNikhIeHdu3e1tbUsFsvOzu5rC0lNTT137lxFRUVlZWV9fT32LTA2Nv706VPbMGVlZe2u6t+N169ff/78ecKECdIOIgKiXSW+tpmVk5Pz8PCg0+kXLlw4cuTI48eP+/btm5+fjy0BW08yMzOTk5MpFEp1dbWhoeGTJ0+Sk5Orq6urqqq0tLR69uxZXFx8586d6upqTU1NIyOjdjvav3//nTt3ampqqqqq+vXrp66uTqPRkpOTKyoqdHR0+vTp0/Lb5Ozs/H1vbC9fvuzt7W1qairtIB0hdHq3hdraWj09vbazLVu2LC4uTmzBvkFGRsb8+fNhj1pbHA4nLi5OIBDMmDFDR0eHw+FkZmZGRET4+/uvXLlS2ul+OF5eXlFRUd/945BBt3bkyJH09PSjR49KO8iPhc/no29/SIBAIBD+af7Rbr4wY8aMP//808PDQ9pBOtL5Se46OjqDBg2aMGGC8CR3EonUu3dv4cX/QGbdv3//+vXrDx48wC5gUVRUdHV1tbW1bXV5CwAAACnqWnlEIBC+mz1S36XOCyyE0Pz580NCQmAgux0mk6mpqdmynOLz+aWlpUFBQdILBQAAAHz/cBVYoaGhCCEqlVpZWWlpaSlruyIbGxurqqr27dsn7SAyp6mpiUqlhoeHGxoaYi1ZWVlqamovXrx48eKFdLP9gNhs9o0bN1pe1wOArMnMzITNKZB9FApF9q/txVVgsVisxYsXHzlyBCGkq6u7dOnSiIiIljcIkbrevXvjuaiHz+fz+XzJJ8euP5L8gTkCgeDu7p6dnV1SUkIikTgcjq6u7oABA8R6AZRAIODxeJL/kPl8vkAgkPyHzOPxCAQCnv91YGf64/nwuVyuvLy8hPcZw8BJhowPrqKiop6eHs7NKQycuEnrWymtv1lcLldOTg7P4FpaWioqKkog0r+Ba9i2bt2alJQUGhqKPWslLS1tzpw5p06dkpGDhqqqqvLy8qdPn+50TiaT2dTU1PKWu5JRV1dHJBIl/6RYCoWiqamJPWJdYng8Xk1NjYGBgSQ7RQg1NTWx2WzJ326bRqORyWSseOqYpqami4tLZGRkp3PCwEkAnU7HbpMt4X6rqqp0dXUl/KeLw+HQ6XTsduEdi4mJ2blzZ25ubqdzNjc3M5lM7PaVkgQDJwEMBoPL5Ur+rqRUKlVZWRnPE6kdHBxk/+HruAqsU6dOrVq1SvjwQT8/v5MnT168eHHq1KnizAYAAAAA0C3h2staUVHh6+vbsiUwMFBG7tEAAAAAACBrcBVY3t7e2G1khbhcbnZ2dssWeNQ8AAAAAAAGV4GVlJR048aNmpoaYUtiYmKrO+7DDi0AAAAAAAyuc7CGDRtWWlp66tQpdXV1rIVGoykoKGCPwkAIMZlMBoORkJAgrpgAAAAAAN0HrgLL1tbW1NR06NChX7uAgsVinT9/XqTBAAAAAAC6K1wF1qRJkwYNGmRhYdHBPGpqaiKKBAAAAADQveE6BysgIKBtdbV79+6WL1evXi2yUAAAAAAA3RmuPVj19fWJiYmZmZk1NTXYs7t5PF5WVtbKlSvFHA8AAAAAoPvBtQdr7ty5UVFRLBaLQqH069evR48e1dXVnp6e4g4HAAAAANAd4dqD9ddff927d++nn35atGjR/v37EUKxsbHTp08XczYAAAAAgG4J1x4sfX39n376CSHE4/EYDAZCaPbs2QsWLBBvNAAAAACA7glXgeXm5lZWVoYQGjVq1IYNG+rr669evfro0SMxZwMAAAAA6JZwFVgRERG//PJLcXGxv7//nTt3NDQ0QkNDR48eLe5wAAAAAADdEa5zsExMTO7cuYP9/OjRo+TkZHl5+alTp4ozGAAAAABAd4VrD9bq1atHjRp16dIlhJCGhsa8efP69+9//fp1MWcDAAAAAOiW8D7seePGjZMnTxa2WFtb79q1S2ypAAAAAAC6MVwFlqampouLS8sWJSWlwsJC8UQCAAAAAOjecBVYjo6Ozc3NLVuuX7+uqakpnkgAAAAAAN0brgIrLCxs3rx51dXVCKHGxsYjR47Mmzdv3LhxYs4GAAAAANAt4bqKcNiwYfb29j169FBTU6uvr0cIDR8+fPPmzWLOBgAAAADQLeEqsBBCq1evHjt27M2bN1ks1qBBg/z8/OTl5cWaDAAAAACgm8JbYCGE7Ozs7OzsxBcFAAAAAOD7gOscLHEQCATS6hoAAAAAQKykUGBRqdSdO3eamZlxuVyspbGxceHChfr6+jo6OrNnz25oaJB8KgDA13C53KysrAcPHpSUlEg7C5AJDAYjMzPz6dOnFApF2lkAkFGSLrCKi4uDgoLMzc2LioqEjSkpKT169CgoKLhz5869e/diYmIknAoA8DVv3ryxt7efOHHixo0bBw0aNHPmzFY3bQE/muvXr5ubm4eGhm7YsMHc3Dw6OlraiQCQRXgLrIqKihMnTty+fRt7WV5e3rX+TExMrl+/7ujo2LJRXV09MjJSTU3N0dExKCjow4cPXVs4AEC0GhoaJk+evHDhwoKCgocPHxYVFdHp9DVr1kg7F5Cajx8/zp0798SJEy9evEhLS3vz5s2lS5eOHj0q7VwAyBxcBVZGRoalpeWcOXOOHDmCtdy8efPq1auiCjF27FgFBQXs548fP7a6azwAQFqSk5MtLS2XLFlCIBAQQpqamseOHUtKSqqrq5N2NCAd8fHxISEhHh4e2EsTE5P9+/dv375duqkAkEG4riJcu3btjh07fH19d+/ejbXMmTNn1qxZEyZMEG2aoqKiurq6xYsXtzu1ubnZwMCg3TO0+vXrV1FRgbMX/HOKFnYLMQmrqamRfKdIeh+yVI5eMZlMOp3e6Wy9evUyNTXF+cnIyMDl5uaamJi0atTS0srKyjI3Nxdhv1IZuObmZqlUithNmyUPz7rX0NBgbGzcwZwfPnzw8/MTzlBRUaGvr19cXCzJrzwMnGQ0NTVJvlMWi4VnNg6HM2nSpLYjoqamVlVVpaSkJIZo3wxXgTVgwIAFCxYghITFjUAgePLkiWijNDY2hoWFnThxQlFRsd0ZlJSU2q1RMjIyli5d2rNnz067YDKZTU1N2tra/zbrN6qrqyMSiSoqKhLul0KhaGpqCvcOSgaPx6upqTEwMJBkpwihpqYmNpst+Sc40Wg0MpmM5/tcXl5eWFgYGBjY6ZyyM3Dm5uapqaktv1x1dXVUKtXGxkZLS0sk/Upr4Oh0OolEUlZWlnC/VVVVurq6Er6PIIfDodPpenp6nc6ppqZWUlLSwea0b9++FAqlZ8+ezc3NTCZTS0vr8+fPhoaGeLbAIgEDJwEMBoPL5WpoaEi4XyqVqqysTCaTO51TQUHh8uXLI0aMkECqLsN1iFBO7j+zCf+XmZqaKtoKkcPhRERE7Nmzp0ePHiJcLADg35g0adKzZ89Onz6NvWxubl64cOHEiRNFVV2Bbic4ODguLu7ly5fYy+rq6sWLF4eGhko3FQAyCFeBZWpqumnTpoKCgqamJjqdfvbs2VmzZrm7u3e5Vz6fL/wXIcTj8VauXBkYGKiiolJTU1NTU8PhcLq8cACAqOjp6SUnJ0dGRjo4OEycONHMzKyhoWH//v3SzgWkxtHRMS4uzsvLa+zYsQEBAZaWlk5OTmFhYdLOBYDMwXWIcMWKFePGjVu/fj1C6MKFCwghS0vL2NjYrnV5/fr1a9euIYTCw8P9/PxcXV3DwsLi4+Pj4+OF8zx9+nT48OFdWz4AQIRGjBjx7t2758+fU6nUDRs2wOMcwMyZM728vJ48edLQ0JCQkGBqairtRADIIlwFloKCwu3bt2/evPnPP/8IBAIrK6tJkyZ97UypTvn6+vr6+govSEQIxcXFxcXFdW1pAABxU1JSGjVqlLRTABmio6Pj4eGBnYMl7SwAyCi8zyKUl5f38/Pz8/MTtpw5cwbP6boAAAAAAD+a9gusDx8+fPnypYO3sVisxMREKLAAAAAAANpqv8C6evVqeHi4hKMAAAAAAHwf2r+K0MXFZdasWQUFBUVFRUVFRbNnz54zZw7288ePH69cuTJ9+vSWDxMEAAAAAABC7e/BcnR0DA4OFl4bkpOTc/fuXeHJjObm5kQi8ejRoxs3bpRQTAAAAACA7qP9PVgkEqnlAwE1NDRaXSri5uYmfGwOAAAAAABoCdeNRm1sbFo9ai0tLU3yD34BAAAAAOgWcBVYK1as8Pf3z8jIoFKpnz592rlz55w5czw9PcUdDgAAAACgO8JVYPXt23fmzJnu7u46Ojr9+/f/7bffnJycdu7cKe5w37179+4NHTqUTCZramr6+/sXFxdLOxEAoOuSkpL69+9PJBINDAyWLVtWV1cn7UQAAKnBVWAhhIKCgigUyl9//XXixInXr1+npqbq6+uLNdl37/HjxwEBAStWrKitrf3w4YOZmZmbm1urQ7EAgO7izz///P333w8cONDc3Jyenl5WVubv7y984ioA4EeD907uCCF1dXUPDw/xRfnRrFq16o8//sBu1qqiorJ9+/aSkpI9e/Zs2LBB2tEAAN+GyWRGRERkZGTY2NgghMzNzc+ePevg4HDz5k1fX19ppwMASAHePVhA5LKzs318fFq2jBs37u3bt9LKAwDosqKiIm1tbay6wpBIpDFjxsA3GoAfFhRYUqOiotLqgCCdTldTU5NWHgBAl6moqNTX17c6IAjfaAB+ZFBgSc2UKVNiYmKEL+vr6+Pi4vz9/aUYCQDQNUZGRv379//zzz+FLXl5eTdu3Bg3bpwUUwEApAjvOVh8Pv/27duZmZna2tqurq62trZijfUj2LZt24gRI0aNGuXn59fY2Hj48GEfH5/x48dLOxcAoCuOHTvm6uqakZHh4uJSXFyclJS0ZcsWMzMzaecCAEgHrgKLwWCMGzfu4cOH2EsCgbBmzZqtW7cSCAQxRvveqaurZ2ZmHj9+PDs7m0wmHzp0aMyYMdIOBQDoIktLy7y8vCNHjuTm5uro6Ny/f9/Ozk7aoQAAUoOrwNq0aVNZWdnJkyfd3Nz09PRKSkri4uKSk5OnTJki7nzfNxKJNH/+fGmnAACIhpaW1qpVq6SdAgAgE3Cdg/Xs2bPHjx/PnDnT0NCQRCKZm5vv27cvKytL3OEAAAAAALojXAWWlZWVgYFByxYCgVBbWyueSAAAAAAA3RuuAotIJAoEgpYtRUVFL1++FE8kAAAAAIDuDVeBZWNjExQU9Pz589LS0tevX+/evXvEiBHOzs7iDgcAAAAA0B3hOsk9ODg4Ly/PyclJuB/r559/bnkPJwAAAAAAIISrwCIQCLt27QoJCXn+/HljY6Odnd3w4cPhHg0AAAAAAO3CVWBlZ2erqKgYGxubm5uLOxAAAAAAQHeH6xyskSNH+vj4tHpw3r/U6qx5AAAAAIDvBq4Cy8/Pz9/fX19fv2VjfHx817qkUqk7d+40MzPjcrnCxjdv3mzatGnr1q1+fn7FxcVdW3JLAoHgxIkTfn5+zs7OK1eurKioaDmVx+MdPHjQx8fH1dV19erVNTU1/77HdtXX10dHR48fP97Pz2/Pnj1sNrvl1Nra2vDwcFdXVx8fn4SEBB6P13JqZWVlWFiYs7Ozr6/v8ePHJVaSvnz5ctasWU5OTjNmzHjy5IlkOgWY/Pz8kJAQLy+vgICA69evSzvOf1y7ds3f39/JySkkJKSgoEDacRBCqKmpaevWrR4eHh4eHtu2bWtubpZ2IoT+O3xOTk5TpkyRneETOS6Xe+DAgQkTJowbNy48PJxKpUo7EQCyCFeBtXbt2oKCggMHDrx//z4/Pz8/Pz83Nzc1NbUL/RUXFwcFBZmbmxcVFQkbm5ubFy5cGBERERER4efnJ5Kbm8+YMWPXrl0TJ05cvXo1m822sbH58OEDNonP5/v6+iYlJQUGBoaFhdXW1lpbW3/58uXfd9pKbW2tnZ3dp0+fFixYMHv27GvXrrm5uXE4HGxqWVmZjY1NdXV1WFhYYGDgsWPHfHx8+Hw+NvXTp0/W1tZMJnP16tWTJ0/evXt3YGCgyBO2derUKS8vLysrq+joaHt7+wkTJhw6dEgC/QKEUHp6+pAhQ7C7gbu7u69YsWLNmjXSDoV+++23sLAwDw+P6OhoDQ2NwYMHZ2RkSDcSg8EYOnTos2fPQkJCQkJC0tPThw0b1tTUJN1Ujx8/xoYvOjoaG77w8HDpRhIHPp/v4+Nz8uTJ6dOnL1q0qLKy0traury8XNq5AJA9AhxMTEy6/N52YdUMh8PBXp4+ffqXX37Bfi4rK0MI1dfX419aenq6vb19y5YrV8kt+ucAACAASURBVK5YWVkxGAxhy969e52dnZubm2tra5OSkoYNG8ZisYRTN27c6Ovr2+Vf52vmzp27dOlSgUBAp9MbGxt5PN7YsWNjY2OxqRMnToyOjhbOzGaznZycDh06hL0cNWrU7t27hVMZDIa1tfWlS5e+KUB1dTWbzcY/P41G09bWfvXqlbAlNzdXW1u7srIS/0K4XO43zS8qDAaDRqNJvl8qldrU1IRnTg0Njc2bN39tKp/PNzU1vXLliuC/A1dVVdWrV68XL16ILGuH2h2458+fGxoaVldXC1suXbpkZmbG5/NF1W8XBu63334LDAxs2RIQEBAeHv5NC6HRaC03Ef8Sn8/v27fv1atXhS3Y8L18+bLVnJWVlVwuV1T94sRms1sOYgc2b96soaHRwQwHDx4cMWIEm81uamqiUqkCgSAyMnLy5MmiCYqDaAcOPxkfONFqbGyk0+mS77e2tra5uRnPnPb29unp6eLO8y/hOsnd09NTW1vbzc1NXl4ea2GxWDt27BBNiYfQhw8fdHV1sZ979uwpJydXWVmppqbWajYejxcbG1tXV9eqvbS0tLGxsaGhQdiSmprq7+/P4/GEjQEBAStXrqTT6XJycmlpadOmTWOxWCwWC5saGBi4ffv2lksQibt37164cKGhoYHD4fB4PD6fP2PGjGPHjoWEhCCE7t279/vvv7fsNDAwMDU1NSAggMvlPn78+Ny5cy2nTp06NSUlxdPTE38APp/PYDCEo9aphw8fmpub9+vXT9hvnz597Ozs7t696+vri3Mh2Iol8g+zU9iHLPl+uVwuk8lsebz7a1RVVbW1tb+WsLi4uKGhYfTo0Q0NDdjAKSkp+fj4pKSkWFpaijp1O9oduNTUVB8fHzKZLGz39PSk0+m5ubnGxsYi6bcLA/fXX39t3bq15Vtmzpy5fv36iIiIb+qXz+e3Oi7fZUVFRQwGw93dXZhKSUnJ29s7JSXFwsKi5ZwCgYDBYEj4Kmxs+4PnQ2axWFpaWh3MeefOnenTp2PrPJfLbWhoCAwMdHJykthXT7QDh5+MD5xoYR+yVDanzc3NwuM8HWhqajp06NCNGzdatWtqav7222/4/+qJFa4Ca/bs2X379jU0NGzZ2LbQ6TIKhaKlpYX9TCAQVFVV2/18eTweg8FodwmC/z0/ic/ny8n9z9FP7OPGZuPxeG2nCo/NiVDbGC3vid9uSCwGtnug1TdZTCFbBW67XsrLy0t+W/ZdajXcrbRdH7C3SPfD5/F4bf+iSH2VaPebJWuRkAwMnzi0u/38/n5NIOMEAkG7VRR2sEhGCiy8h/nKy8uPHz9+69Yt7GVZWdm/2W/W6hBheHj4smXLhFMVFRVramrwL63tIcKzZ886OjoKly8QCI4fP+7o6IgdIty/f7+bm1vLYxx79uzx8PDo4i/zdYGBgZGRkYL/HiIUCAT+/v4bNmzApnp5ee3atUs4M5/P9/DwiIuLw14OHz48KSlJOJXD4QwZMuTkyZPfFOBbDxFSKBQNDY1Pnz4JW0pKSrS0tD5//ox/IXCI8Gs6PkTI4/F69ep1//59wX8Hrr6+3tjY+NGjRyLL2qF2B+7vv/82MTFpaGgQtty9e9fQ0FCEx0q6MHBLly4NDQ1t2bJgwYKW2xA8RHukicvl9urV68GDB8IWbPgeP37cak4ZP9LU6SHCuLi4MWPG8Pl84SHCHTt2eHl5iSYoDnCIUALgEKFI4NqDlZGR4e3tXV9fP2nSJG9vb4TQzZs39fX1J0yYIJIiz8jI6M6dO9jPDQ0NWlpawh1aXTN16tTDhw/7+vr++uuvqqqq6enpW7ZsSUtLw6YGBwcfPXp0ypQpS5YsIZPJ9+7d27VrlzjO292+fbuDgwOPxxs1ahSBQDhz5kx2dvbx48exqbt37/7pp58YDIaHhwebzY6Pj6fRaKGhodjU+Ph4Dw+P2trakSNHMhiMP/74Q01NTdznuevq6kZHR48dOzYmJqZ///6FhYVRUVFhYWF9+vQRa78AISQnJ5eQkBAQEBATE2NiYsJkMrdt2zZq1CjpPpPKxcXF2dl57NixkZGROjo6r1+/joyMPHbsmHT/g7h+/Xo7OzsFBYWpU6cihM6dO5eSkpKVlSXFSPLy8gcOHJg6dWpMTIy9vT2FQtm8ebObm9vIkSOlmEocQkJCjh8/Pm3atHnz5iGEnj17FhcX9+zZM2nnAkD24KnCnJ2dDx48WFFRsXr1aqyFyWROmTKly2VdSUkJQkh4mnlFRYWBgQF2Yvvly5e/9WTVtnuwBAJBU1PTjh07nJ2draysZs+enZ2dLRAIsD1YAoGgoaFh8+bNTk5ONjY28+bN+/jxY5d/l459/vx50aJFNjY2jo6O69atw/7DJ/Tp06fg4GAbGxsnJ6dNmza1OrU/Jydn9uzZVlZWI0eOjI2NxbmbpKVv3YOFuX79uo+Pj4WFhZeX16VLl771dGbYg/U1He/Bwjx58mTKlCn9+vVzc3NLTExsuRdW3L42cBwOJyEhwd3d3cLCYurUqU+fPhVtv10buMrKypUrVzo4ODg4OPz6669VVVXfugRx7AjJyMiYMmWKhYXF6NGjvzZ8Mr4jpNM9WAKBoL6+fuPGjUOHDh04cOD8+fPz8/NFkREv2IMlAbAHSyRwFVgLFizAfhDulm9ubjY0NOxal9euXZs7dy5CaOXKlQ8fPsQak5OT58yZs2fPnujo6JbX9+HRboHVLmGBJWHCQ4QS1rUC61+CAutr8BRYGBg4CYC/0+3CU2BhhIcIJQwGTgKgwBIJXIcIhac0Cu/ml5qaqqSk1LV9Zr6+vr6+vkeOHGnZOHny5MmTJ3dtgQAAAAAAMgXXjUZNTU03bdpUUFDQ1NREp9PPnj07a9Ysd3d3cYcDAAAAAOiOcBVYK1asyMjI6Nev34ULF7S0tAIDA3v37h0bGyvucAAAAAAA3RGuQ4QKCgq3b9++efPmP//8IxAIrKysJk2apKioKO5w3yUBkylgseqqqKwmJpPRXE9vYDFZTCanoaEJ8f9T8aqqKsvJIQUiUUmFjBBSVlVSIJEQQjqGeio99QkKCtL9FQAAAADQMVwFFkJIXl7ez8/Pz89P2HL//n04Stg+Ho9RUVX+6UtFWU1VNb2a3lzeyKnhE2vklOiKKmx5BY68AkJIgc8l8blqPBZJwCchvirh/28iypDjCXh8LkGOKUdEfEGzHJEnJy9AiCFfReaytJgNWjyWthxXh4S0lOT1NZS0tFT1e+ro9dTVG2BGIOIdUwAAAACIyTf8Ma6vrxc+TpXFYh04cAAKLIQQp4FR8Opdfm7xx3J6CUNQTVCkkNSaSWRtVqOugKlLFOipKJlqqQ3T0+jTt7euoS5ZVZmsoqSm1JW9UBwen8Zg13ypplTV0qpotXRGbX3TZxqHWt1Af8egEGsQ/10fJs2IyDbSUOxrqK3bQ0NtqK2CjrbIf2sAAAAAdABXgfXq1avZs2fn5ua2am/36RDfvar8zx/ffPxYUFlAZRZzSJ9VdLXYjaaIYaah5GWpY9jHwMCkp55Rz5bPF6mrqyMSiSoqKv+yawV5OX11sr6VEbIyaneGWmpjQfanovzyosr6zI/1Xz6w6U+e9mHUGBKYfVXk+xvr2A231rcy/5cxwPeqidZQWEalUmisZk59fSOLxWWyOY1NbBaHx+IKGtk8Jg+xeYJGfuffemU5PpGAVBUIRDkCmShHVpAjEeVUlEhEOTkNDWVNbTVNHQ1NfW2dXnoS+L0AAEDycBVYwcHBXC533759hoaGEn7UpSzgsTlvH7/KfFXwppr1gajRTCQbs2imZIFlb20/C8MBjpbqOhrSzvgfOtqqOq72Q13tsZcUCoVEUvqSX1b44XNhKTX5U+PWwvcarJcDCI3WPVXt7EwtR9gTyXAu3Y+Cz+NVFpSWFZRVVtTS6ptojezaJg6dQ6AL5Kny5DoFZY68gjqrSYPXrIh4qgKeojwiycupyfMVFeRJiiRDdaKiooKiooKaeue3aGEymByugN3MZHJ5bDa3mc1r4nDL61k8Pqovptfz5esIxAZ5cgNJmcxlqXOa1QUcDQJPQ0GgriDXQ0uph566QS+9HiY9DfoadtoXAADIIFwF1vv377Ozs/v16yfuNGL16dOna9eu1dbWurq6jh07tuNKkcfmZP2dmfm68A2FlUvSUeFzbOR5zhb6y4ZZmg40JcqLrMq8e/fu06dPVVVVf/755wEDBohqsULKyorWjhbWjhbYSz5f8DHr05uXeTmfaZfTimvvU8yZNVbqcrb9ew5yttPubYAQYjAYycnJ+fn5pqam/v7+ampqIk+FR2Fh4a1bt6hU6uDBg729vVuNV15eXkpKSmNj4/Dhwz09PaWSUBy4XO7Vq1efPn1qamo6efLkHj16dG051cXlZQVfyj5Tyil1FXXsSjaqRGQKWYMg4Ouz6vURS4uINBXlTLSVtDSUtbXU9Aw0tXrq8hTle/cxRAhVV1dfvXr1y5cv1tbWkyZNUvjf6ypKS0uvX79eWVlpb2/v6+v7Lx+bU1lcSimt5DRz6bSGuromKr3pc23zP2VNlW+oFFI5R+6NLqtBV8AyIPKUBUxWfQ2JxBs+apjHBO9Wy3ny5Mnff/8tJyfn6enp4ODwbyKBTr1///769et1dXXu7u4eHh7SjgOALMJVYLm6ujY0NLRqfPTokYuLixgiicXevXs3btzo5eWloaERFRUVGxt78+ZNZWXllvPwOdw3D//553XBm2r2O0UdTW6zDYnrMUBvjfMgI/PeIo/EYrEmTJhQWFg4ZsyYqqqq0aNHL1u2LDw8XOQdtSQnR7C0729p3x97Sa2sffM4K/tj2dnMik25LKNmmjWp8W7aOTkdss0gu5SUlKioqEuXLg0bNkysqdpKSEhYt26dt7e3gYFBTEzM77//npKSIiz1YmNjY2Njx48fr6WltWbNml27dl29elXCCcWhrKxs7NixqqqqDg4OL1682LRpU0JCwsSJEzt+F18gKP1Qkp9bVFhUVURtLuEQv5A0ufLyesz6HgJmD5Kgp7qig56aYR89w359OtghxOPxampqEEI3b9785ZdfnJ2d+/Xrl5SUtGHDhrS0NCOj/xyVPnfu3OLFiz09Pfv06RMXF7d58+a0tDQ9va4f6VPX1yZrqmpqarY7lV5ZU15QWv65OiXt4ed6loJu7zoFrdRMwdYXV3uz641JPGMtRRNDncu3LqZm3Bvr9TOJRJo0adKECRP27NnT5UigY1u3bt29e7e3t7eKisqqVasMDQ0vX74M15UD0AquAuvkyZPh4eGRkZHCZzCzWKz9+/d3lwLr2bNn27Zty8rK0tXVbWpq0tTUDAoK+u233+Lj4xFCTfSG9FsZ6bnlzwSaKlyWA5ntbaO/3sXeoG8vsaaKiopSVVXNzc0lEokIofXr1w8ePHjo0KGSvHRAu4eO+5T/9NfcwHhyO+P4lYek0Yt5cvJKBNrcn50Dx0+YNm1abm5uq2JUrF69erVx48bMzEwTExOEkEAgWLhw4YoVK7C7/z98+PDPP//Mzc01MDBACPH5/GnTpkVGRm7atEliCcUkKCho6tSp0dHRFApFU1MzJydn7NixgwcPbvWw7fJSyrvMvKLi6kIKo4RDLFXQkBPwjFh1xiSumTbZw1iv30BTw/5GcgpduZ60oqJi3rx5N2/eFFbVsbGxM2fOfPToEUIoPz9/2bJlf//9t7W1NTY1PDx8/vz54itwNXvoavbQ/afgxP2slPT0dOxExuampgCvSdZDXXrom5XUNj0uKarq5dlr1iRqM81Inr1moeODO1eP/XkoaMl8MaX6kd29ezcxMfHdu3eqqqpMJlNdXX3q1Knr16/ftm2btKMBIFtwbYJramoyMjJMTU1btZ87d04MkUTv3LlzISEhvXv3ZjKZCCE5ObktW7aMHu5yfuCl9OL6tyTdvizaCH3ybDeLfkOsJJbq9OnT9+7dI/73rgp6enrLly8/ffq0tK7NVFJTUTRUfvPu5ttzWz++ynv0MPvih7pPClojPFfuj0qYONHVbKSjZJKcP39+7ty5WHWFECIQCFu2bDE2Nk5MTJSXlz979uyyZcuw6gohJCcnFxMT4+Li0t0LrKqqqufPn6ekpAhb7O3tx44de+3atZkBM7Of5+bkleXVMvOQarM8yYRJNVHkmmsp/2yib2bV19DChCAnmsPWt27dcnV1bbnPctWqVdu3by8pKTE2Nr5y5crEiROF1RVCaP369dra2nV1dRoaYjwT8fTp0+vWrRNeJqKkrLxkXVh0dPSzZ88QQkOHDv3999+H2w8uyi749PFL3heqop33sQr9C+HJprwGcw15CxO9gYPM+ww0E9Wn9CM7e/bsihUr9PT0sCenycvLb968ecyYMVBgAdAKrgJr/vz5fD5/9+7dwpPcWSzWvn37xJxNZGg0mqWlJfZz0au8i5lF6dW8nkFxT4prXPpqrvcZomvcxTNd/g0qlaqvr9+yxcDAID09XfJJhGg0Ghapv4NlfwfLYITqaA2/hqQUKw9cdKtE/doHdx3+zz8P7jvIUtwxrKz+p9LV1dVls9nNzc2qqqrtfm5UKlWskSSASqVqaWlhBTersel15qf3eWVKKvZpxdrn9j7py6D0J3NG9tYIsTUxH2ZDJInrZrPCdUBITk5OT0+PSqUaGxu3naqkpKSmpkan08VaYHU86NhUFW0Na1cHa1cHhNDDhw/Xrl5zOD7pXVbB+1Jq8puqgvccOUFOX07dQDXCIMuejq4OSPFfnTr2w2o5FhwWB30vX0AARA5XgfX69es3b96Ym//P5f0sFks8kUTP0tIyIyMjJCQk59Hr9XfLBiuwR+ly9p5aF5ebLd1U6enpvr6+wpb09HRxnOf+TZGysrIaGxtVVVWxFhKZmJpx7datBbY2tq/vPU97/D70XI7OqZejexDHjncytDARU4yMjIzly5cLW54+fWpoaIilwj632bNnC6emp6cPHDhQHEkkydjYuLa2FttRtO3Pvyh8koUCk1CeN2m4wowl40nqErrUwNLS8ty5cy3vwFJeXl5aWopd42JpaXns2LGW8+fl5XE4HEND8V7rhw16y3MSWg46NtXGxqblVEurgf3+j737jGsiWxsAPkAIoXdCR4qACBYUVJqKgiAWwIplXXtbdsWGbW3YRVfXjnVtrF1RsXeqICBNRFAE6SQkIaQn836Ye/PmAkKENPX5f/Bn5pyZ8ySHzDyZco5HTwePntgXTMDnl70tLsguyS0jnXhd82d+uiWD3FON3dfOxN3HTUp/yT8k7NOeMmVKxp2kvzIa9s32yinK+QG+gABIHiqGgICAnJycFguzsrLEWVcGkpKS+vbt206FxsZGW1vbv/76i06nk0ikzMxMOzu7a9euySxCCoVCp9NbLLx3756VlVVKSgqKonw+/+jRoxYWFrW1tRJst66ujsPhfNMqs2fPHjNmTF1dHYqiJBJpwoQJERERLerkPX+zff3pEdFXxi+/cHDr2c+5xaKlPB6vpqamK2FTqVQHB4edO3dyuVwURbHk/uLFi1hpXV2dpaXl4cOH+Xw+iqKpqanW1tZ3795tbm5ubGzsSrudQyaTGQyGODV1dXVjYmLaqbBjxw5PT8/S0tK6ujoqlRoVFTVo0KBv7cFOwzqOx+P5+fktXry4ubkZRdFPnz55e3tv2rQJq8Nisfr27bt69WoWi4WiaFFRUZ8+fQ4cONCVdsXpuKKiImNjY+F3NjEx0cTEJDs7G3v55s0bExOT+/fvYy+vXLliYmJSXFzc9rZQFEVROony6OK9v2P+WbD81JA1t0JWXlq16mT8gStFaXldeS/iwD5kabfSAofDwb7UHYqJidHV1W2nQk1NjYWFRVxcHJ1OP7nt9PBV14b0G/rgwQMJRdqxxsZG7I9TxhS84ySLTqdTKBTZt0sikZhMpjg1+/btm5SUJO14ukisBOvTp08zZ84sLy9v+q+GhoYpU6ZIOzgxdZhgoShaXFwcGBhIIBA0NTWtra2FR2vZaDPBQlH02rVrtra2mpqaBALB39+/oKBAsu12IsFiMBjR0dEaGhr6+vrq6upRUVFtRo6iKIvOuH82MWrFycFrE+YvP33l5O3mZhYqiQQLRdHS0tKQkBACgaCtrW1hYXHmzBnR0sLCQn9/f6w3bW1tr169iop3nJYGCSZYfD5/z549BgYGOjo6BAJh2rRpXf8kxSfsuPr6+hkzZhAIBF1dXX19/Z07d4oeVyorKydMmEAgEHR0dIyNjQ8ePCgQCLrSrpgdl5KS0r9/fwKBoK6u3qtXr2fPnomWPnnyxNXVVUNDg0AgeHp6pqWldbhB4XGaz+EWJudc2H951aqTwSsvB0dfWbPq5I24mzWlFZ19T+1R8ON0hwkWiqL5+flDhgwhEAgaGhpTfUOHrbr+7NYrSYQpFkiwZAASLIlQQlG0w7NclpaWlZWVbZ79ksI5tW+WnJwcGRmZlZXVYU0SiVRfXy+8H0tm2h/Jvba2VkNDQxrDTWEPo6l+++TQfD6/qqrKzMwMJ8bMhrQGypNrz+98oHxSM/AnNIWN7G9kqSe8Cb0rGAwGlUo1MzNrs7SpqYnBYAgbYjAYHA7na0/7S09jYyN21O+wpp6e3vLly9etW9d+NRRF37592717964P/f9NsGEahJ8nh8Opra21tLRsc8Q4FovV0NBgaSmB4Uu+qeMaGxsFAoGhoWGbpSQSSVlZWfiwc/soFAoej2/9eGx5fmnqi5zMclqOsq4mn+OOZ3o4mgwc7qkvoUHna2trjYyMujh42LficrkUCkWc0TS2bNkSGxtLoVA6rFlXV0ehUBwdHdMuP1iXzVjoqDZuZsvByaThax0nbQrecZLV3NzM4/GkemNlm8hkMvYzqcOa7u7uBw4c8Pb2lkFUnSbWPVj+/v7q6up+fn7Cvy02m42NcfB90dTUVMCR6CWSi0iWiopKi6EB2qFjpBc2PzQMQaoKSxKvvVx56S0B4Y+0Uhs/LUBXv0tZo4aGRju7UW1tbXkNgipVSkpKFhYWeDxevmHg8fh2/gYIBIJEsqtv1X7y9LXE65tYu9pbu9pPQhAum5vzNCM9u/RSbsO24nRHFqmfoYqPVw83X3d4GhFBEG1tbezH28CJIw7oJy9/VFm3//rCP8LlHRcAikKsBGvy5MkuLi7Cx+YxXC5XKhGB75a5i8McF4ep9ObE84mPSmj/7HkxEKGEBbgOGtxH3qEB8M1U1VQ9gr08gr0QBKGTqGkP09MKq9beLeHf+zRApcnHzcJrpJe6jpa8w1QIPQK8jxoULInPoWw+F/3nNGXF+x0LgOyJlWCNHNnGiV9xromAnxBeneAT5jeOSCx6kXH9fvW6+5+sEgvG9jQaOXGoGkHOZ2UA6BwtQ93hEYHYjDDYNcRbbyo35T+3Z5G8iapDh/ax7/+zP0Zn1a/nCV2tpQcfrV33z+b1U1TV4MsOfnYdJ1iFhYUpKSktFrJYrOPHj0+dOlU6UYEfgfNgjzWDPZaQGu+fu3/9bc2RoruhRvyI6cP1jWV9mxQAEiS8hkiqqHl+NzX5Y+P5GyXm/2YN0kcH+7j0Giyj8XgVkL6DzaG1YdHbrv22/tKeNWFaunB6D/zUvppgFRYW9ujRQ0lJqaamZu5cmHECdJKGoX74kohwBCl8lXUhMSd0f5IPQpoR5unYT54jfgHQdYZWpuMWhI1DEA6DlXY/9VX251WJH1XvfvDT5Az369FrcP+f8FYtDWPDfTFTN/95euHWm/uWjTQkGsg7IgDkRvlrBREREXv37kUQxNvbu3///g0NDRwOh8vlcjic169fR0ZG1tXVyTBO8N1z8XXfun3W5Wku5srcRVeLZq06/zwxTTGeQwWgS/AaBL/woWtjfk3cOWH3eFeCqtLmxJIRa26uXX3q6aVHfM7Pdbuqipbm+u1zevIpC/c8qCqrlnc4AMjNVxOsc+fO7d+/v7S0VE1N7dixY4aGhqqqqjgcTlVV1cPDIzw8fNeuXbIMFPwYiM52izfPufWHT6Au78CTkojo+CunEjnsn+sIBH5gjp6ui9dMv7Y74mB4d3Nt1UOZDUEbbmOZFven+TtXIRBW7VoYoNE861hK+pNMeYcDgHx8NcHq1atXYmIiNoGuu7t7i9Lu3bu3mDEDAPFpmhpPXv1r/J9jJhN5N3JrJ66/cfH4HUizwI8Ey7Su7py8099cF6/81xty2Pobezaf/Zj9Qd6hyYSKytyNczZ56G58WLZv/00BnKwGP5+vJlgIgri6usbExHC5XLqIpqam8vLy7du3SzaOhISEFStW7Nq1a/LkyTk5ORLZJp/Pf/fuXXJyMpVKbV3K4/Hy8vJSU1Obmpok0tz3pba29sWLF2VlZW2WVlZWvnjxoqKios3S8vLyFy9eVFVVdTEGvJ5O6LLpF3ZPW+ms+qKwJnRDwvm4OxwOr83KPB6voKAgJSWFRqN1sV0JampqysjIKCgo4PHaDlscZDL55cuXHz58EAgErUvr6+tfvHjx8ePHLoT5g2Cz2W/evMnIyGAyma1LmUxmRkbGmzdvOByOLKNqv/saSA1NePb4GX4JOyZuHm7N5Ao2PK+bsurfE3svV35sY/RmaUBRtLS0NDU1lUQidXojPB4vPz8/JSWlzR0ml8t9+/Ztenp6c3Oz6PIB4cNPTnN7U0aJWn+xqamNXgNywePxcnNz09LS6HS6vGP5oXU41nt8fHybKy5btkxSw8lXVFQMGjQIm3AjLS0tMDDwm1Zvc6qc169fu7m52dvb9+7d29DQcP369QKBgMlkkkgkFEWfP3/evXt3R0fHXr16GRkZ7dq1S1LvpU1fmypH2tqcKodGo82YMcPQ0NDd3d3MzCwgIKC8vFxY2tDQMGHCBCMjo379+pmYmIwdO1Z0tpaqqqqQkBAikdivXz8jI6OIiIjWk5x0WZyxZAAAIABJREFUeqqcwsepy5YcCVh1/fC+601N/zNbQnJysrOzc/fu3bH+2rp1a+vVZT9VTmxsrLGxsYuLi6OjY/fu3VtM3tJa66lyuFzukiVLDAwM+vTpY2Nj4+npiU2XhHUcg8GYN2+egYFB3759LSwsBg8eXFJSIr23I5E5jjpBzI67cuWKpaWli4tLz549zczMzp49K1p65swZU1NTV1dXFxcXS0tLcWYa7fqMKxwOR7T7BgwYIDrbFYPBmDt3rrD7hgwZUlpaiqJoVWXl68SkTWtPDV19c/yKiyf2Xqr7IskZSFt49+7doEGDrKysXF1dDQwMIiMj2Wx2O/XbnCrn5cuXTk5Owh3m9u3bsTdIJpNRFL1//76tra2zs7Obm5uJicnBgwdbrM4iU/9cdjg8+lJJUTnaZTBVThc9fvzY3t7eycnJzc3N2Nj4r7/+al0HpsqRiI4TrNraWmNj4yNHjly8eDE+Pj4+Pv769euZmZldnIBMVFpamqGhIZb6PHv27Lfffvum1VsnWNXV1ebm5pcvXxa+HDhwYGxsLJZgffz4UXRq2M+fP7u5uZ08eVISb6VtCpVgTZ06derUqdgeisfjbdy40cPDA6smEAhCQkIWLlyITeXL4XCioqL8/f2xaZV5PJ6vr290dDQ2BzOTyZw9e3ZYWFiL7XfxOF2Q+HxZ5CHRNKu8vJxIJCYkJGAVvnz50rdv38OHD7dYUcYJ1unTp11dXT9//ozNRfjgwQMTE5P2E6DWCdaqVasCAwOxo5RAIDh27Ji9vT2FQsE6bt68eePGjaPRaCiK8vn8nTt3urm5iTnvYScocoKVmppqamr65s0b7GV+fr6lpeXjx4+xlw8ePLCyshImNxkZGUQiMT09vf1tdv04HR0dLdp9R48etbe3p1KpWOncuXPHjRvX1NSEoiifz9+xY0evXr2YTKbwOE0nUW7E3Vy47JTf2ttRq/95cPUZmyXhib2bmpq6d+9+8OBBNptdV1fX2Ng4cuTIpUuXtrNK6wSrrKyMSCTevXsXe1lRUdG7d+9jx45hCVZBQYGxsfGLFy+w0pKSku7du1+5cqXldgWC+G2nh6++/uhOShffFCRYXVFcXGxsbCz87nz69KlHjx7nzp1rUQ0SLIn4aoJ1584d4f9bH8wki8vl+vr6WllZHThwIDo6+lsPIa0TrG3bts2ePVt0SUFBgZGREYPBIJFIK1asWL58eYstODg4dDr+DilOglVeXq6npyf6CQsEgn79+iUmJqIompuba2lpKboKj8dzcHBITU1FUfTFixcuLi5YsoVhsVhEIrGoqEi0CYkcpwsTny+LPIilWWvWbmiRc2dkZFhZWbVYRcYJlpOT08uXL1GRyZ5XrlzZ/qGrRYLFZDI1NTWrqqpE64wZMyYuLq6urq6qqkpLS0t4tMb4+vq2ceiSEEVOsMaPH3/o0CHRJefOnQsICMD+P2zYsBbTt//9998TJ05sf5tdPE4zGAxNTc3q6mrRhaNHjz5+/DiKovX19VpaWlhyLOTj43P16tXWx+maj1/O7Pl36rKz/qtvbtt8/l3W+05H1cKZM2eCg4NRkeN0XV2dhoYGlva1qXWCtXr16iVLloguSUtL69atG5ZgLViwYNOmTaKliYmJ7u7ubW48/eLt4JWX/9p3k9+F3+eQYHXFH3/8sWbNGtElT58+dXFxaVENEiyJ+Oo4WGfOnBk2bBg25+LChQu/dnlRIlP74XC42NjYtWvX7tmzB4/HBwUFDRkypHU1BoNhbGzMYDBaFzk4OFRX///zwAUFBU5OTqJL9PX1KRRKRUWFtrb2u3fvAgICREtNTEzKysqqqqqkOlOhXG4eamhoEH355s0ba2trCoUiOpmrg4NDdnZ2nz59srKybG1tW6zi4OCQlZVlY2OTnZ1tb29fW1srWmpnZ5eZmamjo9OiXdGPtxP0+jgu6+XwPvHl5beNHzR79lEtLyv/oqb6n6kwTUxMKioqKioqWs9F3ebdOdLw6dMnExMT7G2yWCwKhWJtbX337t123ri5ubmdnZ2wQkVFBTYdgugqdnZ2eXl5o0aNysvLMzU1bW5uFr2pxcHB4e3bt1Kd37SLHddp7XdccXHx1KlTRWMzNzf/8OEDtqSkpMTU1FS01MLCori4uMP3wmQy27xBUxzl5eUaGhooirbuvurq6tzcXDMzM+y+VWGpg4NDTk6Ol5dXyzFuCMqBEX6BCFL9ruzFy4YV8dn4+Df++rxhwe66XRtHKi8vz9bWVhgh9h99ff3s7GwHB4c2V2lqarKxsRF9U4WFhYMHD26xw8TO3SorKxcVFXl4eIiWmpqalpaWtvnhWw3pt9uoeMfdksi155fM9tPS6ORo713puK6Q1+BEEvxWvnv3LiwsTHSDRCLx48ePbTbR5tFW2thstjjVuFzu+PHja2pqWizX1NTEfkVIIbRv9tUE68aNG9gF9TZzjry8PCaT+erVqwEDBnQ9iJycnJiYmHv37qEoumrVqqCgoMrKytbztmpoaGC/IVosT09PX716teiUyXZ2dg0NDaJLsL2hhYUFi8Xq1q0bmUwWLa2trTUzMzM1Ne36e2kTjUbD4XCy73ISiaSjo4NNyIrp0aNHdXV1iznha2pqJk2aRCQSsay0RadXVVX16NEDKz1//rzo5yYQCKqqqnr27Cm6kM/nk8lkiUz/Tpw9yU8g2DF7SSnBcdGR9Jm9DEIn+KkoKxUVFZmYmFhYWIhWZjKZHA5HZtO/Y4fP7t27UygUAoFAIBDIZLKtrW07U3dXV1djV1uwl5qams3NzQQCQTTmurq6gQMH4nA4R0fHuro6fX190Vmfa2pq/P39pTQ7uAQ77puI03FWVlZUKlX0jaenp1tbW2NLLC0tm5qaREupVKqw9GuoVCoej+/0lF8aGhp0Or1193l5eRGJRBcXlza7b/jw4crKygYGBqJfQCEikdhnyIBIHi/9Xsrd5JJFlz+48qkjPayHj/VVVmnvgaSvsbe3f/r0KZFI5HK5NBrN0NAQO1/Ys2dPPb22J1TQ0tL68uWL6Edna2tLIpFElxQUFJiamurr67NYLBsbm8bGRtHSDx8+WFpafu3DJxKJR1ycYnZdX3cibfdcX8tu37zX7WLHdVp9ff3XOk56hB0nqQ22PvxVVFRYWFi06C8Gg8Hj8Vr/cpa2xsZGDQ0NNTW1DmuqqKicPn26dQYi5uoy8rVTW3PmzGlzOXbnDYIgjo6OkjpPGx0dLbwKyWazsW+4+Ku3vkT44cMHY2PjlJT/XOyn0+mjR49esWIFdg9Wdna2iYnJ27dvsVIKhTJkyJBt27ZJ4q20TXEuEaIoGhAQsHLlSuG57lOnTjk4OGDh8fl8T0/PrVu3YjfYCQSCvXv39u7dG9sIi8VycXERXqnh8/kbNmzw8fFpcTeexK80FRQUmBgbJ+yJm/3bsVGrr1449yggIHDDhg0tqsn4EuGOHTv8/PwoFAp2iTA3N9fExCQrK6udVVrfgzVr1qzp06djd7yhKHrv3j3sTAzWcaGhob/99puwB//991/s7KOU3pEiXyK8c+dOt27dhE9jVFdXOzs7x8fHYy/Pnz/v4uIiDL6srMzGxgb7wdaOrl9pmjlz5i+//CLsvsTERDMzM2EYY8eOjYyMxG5YRFE0Pj7exsaGQqGIf6WpurD02JYzYUsvhK+4eGJ3fF1ZVcfr/K+6ujpzc/Pbt29jV5rYbPasWbOmTZvWziqtLxHm5uYaGxtnZ2djL6lU6rBhwzZv3oxdIkxOTjYzMxPeJ9DQ0ODp6dn6PvcWBFxu3NpDw1bfuHP9m6/ywCXCrsDuUMzPz8dekslkb2/v2NjYFtXgEqFEfDXByszMbL3w48eP2JhY48ePb3F3SFccPXr0jz/+wP5fWloqvLVCTG0+RZiQkEAkEgcNGjRq1ChjY+Np06ax2WzhU4QXL140MjLy8/MbOXKkoaHhggULRG8tkjiFSrCqq6v9/Py6desWGhrq6urq7OwszDVRFP306ZOHh0f37t1DQ0OdnJz69OlTXFwsLC0sLHRzc+vRo0doaKi9vf2gQYNEn0DESOM4ffXqVWNj48E+PstGThm/OG7MkrP3ElvewizjBIvP5y9atMjAwCAgIMDHx8fIyOjChQvtr9I6wWpqahozZoypqenYsWP79+9vZWX1/Plz9L8d19DQMHz4cCsrq9DQ0F69ejk4OLx+/Vp670iREywURffs2aOvrz98+PDAwEB9ff3NmzeLlm7cuFFfXz8wMHD48OH6+vr79u3rcINdP043NTWNHj3azMxs7Nix/fr1s7a2Ft7rjaJoQ0PDsGHDRLsvIyMD/fbjtIDLS7/2aO3yY/6rri9bcTL51nMB/xtuYHr16pWNjU3fvn2DgoLMzc1DQkLa33W3+RThpUuXjIyMfH19Q0JCDA0N586dy+PxhE8Rnjx50sDAYMiQIUFBQQYGBsuWLRPzEaisS4lhS88vXX+R3PjVe8JagwSri86ePWtoaDh48ODg4GDswdLW/QUJlkQooWKP/3bv3r2pU6fSaLTdu3cvWbJEgrcr8fn86OhoNTU1a2vr+vp67Lgl/urJycmRkZFZWVktllOp1KSkJDKZ3K9fPxcXFwRBWCwWg8HANk4mk1+9ekWn0z09Pbt37y6p99ImKpWKw+E0NTWl2kpr9fX1enp6opcIMSiKpqenv3v3zsbGxtfXt0UFgUCQnJxcUlJiZ2fn4+PT4pQ4j8dLSkr69OmTo6Ojl5dX6z8DPp/f4vqsRDQ2NiYlJVGp1P6uriVP356oVNVXU1oc2re/pzNWgcFgcDicr134kJIPHz48e/ZMX19/2LBhHf7R6unpLV++fN26dS2W5+Tk5OTkmJmZ+fr6YteRRTsuIyMjPz/fysrK19dXqqe+pdRxHRK/46qrq5OSkgQCgZeXl5WVVYvS8vLy1NRUZWVlX19fcS73UygUPB7f9Qv3rbtP1OvXrwsKCkS7r7a2tsU1ejGxyJSnlx9deU+rxesM12ROnjzY3NFGnBUZDMbz589LS0t9fHz69u3bfuUtW7bExsaK3qOJaWxsfPXqFY1G8/T0dHR0RBCEyWSyWCx9fX0EQerr65OSklgs1oABA+zs7MR/U8zqur92/ftS3XLNMBu/YWLNky2pjvtWne64ruByuRQKReIX7kkk0qtXrxgMhqenZ5t34zU3N/N4PJndcSFEJpM1NDSwm7/b5+7ufuDAAanekNp1YiVYfD4/JiZm8+bNpqamly9f9vHxkUFk4vtagtWaaIIlS4qWYEmVbI7T7AbSjSPXz9D1bVV5UdO9HZ2s5JJgIQjS2NhIIBDEuSPkawlWaz9wx7Umr477Xo/TKJqb+PLGi6IXOFNXLnmyj+2g0YM7nFVa/OP01xKs1kQTrC5B0fsHL+6tJPjqCVZEhRLUOviz/147rlOklGB1CBIsiej4xkkSiTRq1KhNmzYNHjw4KytL0bIr8HNSMzKc/OfcizN62THrF/yTvWP3VSoNxokGPwElpV4hgzfsmn9z0QAvourfL8rHrfr3xO6L5MrajtdVTEpKQZFTz0W41FaRftlwo6igTN4BASAZHSRYmZmZ/fr1u3///sqVKx89eiS95+wA6AQDF8cVeyLPjrai1DT88vfLG5de8fgw5Rn4KehYmk5ePu3CjslL3LQLqpomHEqN+fN0aWahvOPqJGLvHn/vmhmuSV18Ief0qYcwdyH4AbSXYJ04ccLHx6exsfHGjRs7d+5sMebQ58+fpRwbAGKxHNR3x54Fe711X+dXhq27nnAjWd4RASAjKni83/RRf/01/9xEJ02Ut/Bq0YLlZ578+1DA58s7tG+mTFCb/Ofcw776D3OrFq2Nr6shyzsiALqk7QSLz+fPnj177ty5Tk5OmZmZoaGhrevs2LFDyrEB8A3shw7cvmlitJPyuVcf562+8D6nRN4RASA75n16LN0y98764DE99M6lfwlZe3Pv5rM1pW3P167InIIHH18+wpRJ+nX/8yf3X8s7HAA6r+2BRlEUPXXqlJKSkr29/aZNm1qX0mi0Fy9eHDlyRPoRAiA2ZWWfX8M8G6nxB68uvpQ3MCEjan6QIbHLN+EC8J3Aa6iPnB06EkHyHqXFP8qffDrHg/s4YngPtyFiPaCnILQszTbu/e1l3JW9j0vuppauWhBoYiaxkTYBkJmvjuQ+ZMiQvXv36unptX4OH0XRxsbGJUuWSDk2ADoDr68748/Zo4tKjp58NHH/i/FEdM6CUaodPZoEwI/ELWCgW8DA8pyi+Ov1y5/VdH9wfnw/YkDESHnHJTYlJb/5EweSKWf2XIw48Gq8hfKcBaNUOzWcPQDy0naCJRAIpk+f3s6IKba2ttOnT5daVAB0lYGzw5rdDqOvP9z3/PPz9VejAh0HijfKDgA/DOs+ztF9nH8jUa/+cy/3fU2AvOP5VngDvXlbFw1/mrrzZt70NZfWhPfuNcBF3kEBIK62fxDg8fhZs2a1v+bcuXOlEA8AkuQWHnhiz6/TiZyY+yUr/zxXXf7dPsoOQGdpGupOiRz3y+LR8g6kk+z8Bx3ZNWOCHnP5jXebt8Yz6DAgC/g+wBlXoIiqq6unT59uaGiIx+N79+6dkJAgWvr58+cJEybo6empqal5eHg8fvy4nU0pqaqOWjrj+qqAnsrN046m7tgaz2hmSTn8zjt9+rSjo6OZmZmlpeXvv/8uzniP0kahUCIjI01MTHA4nJOT05kzZ+QdkeI6deqUo6MjDocjEom///47lUqVRisMBmPt2rXm5uYqKiq2trb79+/nizwzSKPRoqKiTE1NcThc9+7djx8/LjqaNIlEmj9/vrGxsaqqqouLS3x8vOiWa2pqrl69SqPRkpKSpBF5pykT1MatnnVusguzpmH2weTnd1IRBHn48GH//v3V1NT09fUnTpxYXl4uusrNmzd79eqFx+MNDQ1nzJhRU1Mjgzg5HM727dutrKyUlZWtrKy2bdvG4XCEpUwmc926dRYWFljH7du3jy+Phz0/ffoUHh6up6dHIBAGDBjw7Nkz2cfwk4AECygcNpsdHByspaWVmZlZWVm5cePG+fPn379/Hyul0+nDhw/v1q1bXl5eeXl5VFRUREREampq+9tUMzSYsWnBubHdqDUNE2Lu3op/Kv338c2OHz++bdu2w4cPFxYWPnnypKqqKiIiQvzJrKQBRdFJkybV1NS8evWqpqbm4MGDW7ZsOXnypBxDUlhxcXHbt28/fPhwbW3tixcvKisrpdR9CxcufP369f379+vr68+dO3f69Ont27cLS6dNm/bp06dnz57V1tYeO3Zsz549hw8fxooEAkF4eHhzc3Nqamp1dfWePXtWrVolzLE4HM7IkSPxeLyWltbAgQMlHnbXEfv02P7XwoWG1IOZpKUrji+c99vy5csrKirevn1rZWUVEBDQ3NyM1UxMTFy0aNHmzZsrKyszMzMJBEJISIhoriMlq1evvn379vXr10kk0vXr1+/cubNq1Sph6aJFi9LS0hITE+vr68+fP//PP/9s3bpV2iG1QKPRhg0b5uTklJeX9/nz58jIyAkTJmRkZMg4jJ+FvCZBlKA2J3tuk3CyZxlTqMmepa3rcwYfPnw4ICBAdP7RO3fuODo6Yv/funXrhAkTROufO3duwIAB4k72LBC8On09POrc3JX/FL8t6UqcGDKZzGAwxKnZerJnUdisI9jE21jHcTgcV1fXO3fudD1IcbTZcQkJCW5ubqJ/RdnZ2fr6+iwWS1LtyniWbiHJzhnMYrH09PRyc3OFS9hsds+ePe/evduiZhfnDM7IyLC0tGxq+v/ZkT9//qytrV1fX4+i6MOHD52dnUV7p7CwUEdHh0Kh1NXVXbp0ycPDQ7T1lJQUIpGILTl69OiwYcM2b97cerLnNgkne5axxsbG2vyixZNWDVl98+/9NxgMNrY8PDx8x44d2P8dHBzu3bsnXEUgEPj7+x87dqwr7XbYcaWlpQYGBqJzM9fX1xsYGJSUlKAo+ubNGwsLCxqNJiwtLy/X1tZufy5niU/2vHHjxilTpoguOXXqlI+PT4tqMNmzRMAZLKBwcnJyRo4cKfr4alBQUGlpKfbz9O3btyEhIaL1R40alZ2dLe7WlZR8fg27+OcobwJjQXzejq3xdFqz5GLvvLKyMm1t7V69egmXqKqqBgYGijPJpvTk5OQEBgaKzorYp08fTU3NsrIy+QWliD59+qSrq+vm5iZcgsfjpdF9OTk5fn5+WlpawiXW1tbOzs75+flY6bBhw0QnBe/Ro4eJiUlJSQlWOmLECNHZ9AYNGsTlcquqqpC2vncKS8vWKu76nmP+BlUlX8bEJJ46nsjl8oX7ATqdXlZWNmLECGF9JSWlkJCQb9hLdEpubm7//v1F5w00MjLy9PTMyclBECQnJ8fX11dbW1tYamVl5eLikpeXJ9WoWujq/hN8C0iwgMLR0NBoce8RnU5XVlbGDhvq6uotSikUyrdOpK2mrzdj04JjwRZlDfSIbYmPbrzoethdpKGhQaPRWtyTQaVSRQ+lsqehodHiRiI+n0+n0+UblQLCuk8gEIgulEb3te4R0YZal6IoSqPRvlbK4XBYLBb29Wn9vVNk6urqBEeb7fsX7+qtmpz3ZfK6a2XvG7A3gsfjEQRpamoSrU+lUr91L/GtvrVrEHl8wSWy/wRiggQLKJwxY8YcP368rq5OuGTz5s0jR47EJmsaO3bsgQMHRHdVMTExY8eO7URDDn4eR/fMXmSrvC+19vfV5ypKKrsefKdZWVnZ2toePHhQuOT9+/fXr18PDg6WY1TBwcHXr18vLi4WLvn777/t7e0tLCzkGJUCsra2trGxEe2+oqKiGzduSLz7/P39U1JS0tPThUv+/fdfNpvdp08fBEFGjBhx9+7dgoICYenRo0dNTExsbW0RBAkJCbl48aLo2cfdu3f369fPwMAAQZAxY8acOHGCTqdLNmApGTt2bExMDKKk1HdSyIm9s2ZZcHLYRL6u97usYjweHxQUtGXLFmHlmpqauLi4MWPGSDWkQYMGffr0SXi3KIIgDx48KC0t9fLyQhBk6NCh6enponeLXr58ubm5uZ3hkKRh7Nix+/fvF2afKIp2ev8JOvTVgUYBkJehQ4f+8ssvvXv3njt3rqGh4f3794uLi5OT/zPDYFhY2MOHD93c3ObOnaulpZWQkFBfX9/5h56UlYPnjxtCajy1/9r002/GaDxfvHS8mrpaxytKwfnz54cOHZqcnNyvX7+6urozZ87ExMQ4OzvLJRiMi4vLxo0bBw0aNHv2bBsbm+fPn7969er58+dyDElhXbhwAes+Pz+/srKyU6dObdmyxcnJSbKtmJqaHj58OCgoaPr06U5OThkZGbdv3759+zb288PBwWHHjh2+vr6zZs2ytbVNSkp68uTJ48ePsQt/ffv2jY6O7t+//9y5cy0sLJ48efL69etXr15hWx48ePDMmTP//vtv7G48U1NTyUYuWfv27fPx8fH39x89enRTU9Px48cnBod4WPVbeinX7Vbmls07Q8ND8vPzg4KCGhoa4uLi5syZ4+fnJ9WQtLW1//nnn4iIiEmTJrm5ueXl5V26dOnixYvYZUEikXjkyJGRI0diHZeZmXnr1q2EhATR6+8yMHHiRGz/OWfOHA0NjZs3b1KpVOHfAJAsOIMFFNH27dsvXbpEo9GysrJGjhyZn58vurs/cuTIiRMn6urqcnNzJ0+enJWVpaen15Xm1A31F2+ec2a09YcGxqQNN1/dfN7VN9ApLi4uRUVF/fv3z8jIUFJSevr06eLFi+USiajIyEhsIIyUlBQPD4+ioiL55nwKC+s+d3f3lJQUZWXlp0+fLlq0SBoNTZ48OT09XUtLKyUlxd7evrCwEDtHgpk3b96LFy9UVFRSUlJ69+5dVFQkemPfihUrEhMTuVxuWlqar69vUVGRnZ2dsHTr1q2TJk1CUVTxrxUaGBhkZ2dPnDgxNze3oaHh9OnTe+KOTv5z7tmpPXVppBWX36/4fffw4UGZmZlNTU1Xr14VPaElPUFBQW/fvjUxMUlJSTExMXn79q3oKcyJEye+fv1aW1s7JSXF1ta2sLDQx8dHBlG1cOLEiaNHj9bU1OTn50+fPj0zM1NHR0f2YfwMlFC5PgQuEcnJyZGRkeLcTMpisRgMBnY+XJaoVCoOh5P9de76+no9PT0Z/0Li8/kNDQ1EIlGWjSIIwmAwOBxOFzMtRCB4ciZhbxHHAcdePW+YaTfzDtdobGwkEAjq6uod1tTT01u+fPm6des6rAkdJwMUCgWPx2toaMi43draWiMjI9E7zWWAy+VSKBTR+6+/ZsuWLbGxseIkWEwmE3v0VRIBfgNxOq7k4cu4O7lZ2lahRGT6rwG6OhLoZQXvOMlqbm7m8Xi6uroybpdMJmtoaBAIhA5ruru7HzhwwNvbWwZRdRqcwQJAhLLysFmhFyP9TAXM6cfSzu67JODy5B0TAODbOAT67fr7t9OBRFpZedjOxzE7rtTXS2XQVwDaAQkWAC3pWpmu3jFvu4dOYjl73uoLJZkFHa8DAFAwVoMHrtkb+U+QqUpdzaS/XmzeGl9XTZJ3UOAnAgkWAG3rHz78/JYJXvqCBdeK/956jt0MM6AB8P2x8vVcszfybLgtjkKZfCB589b42sp6eQcFfgqQYAHwVTgN9VlrZ16Y0buG1DxhU8KLq4o4wQ4AoEOW/d3W7F54PMiUTaZMOZzy165LVVVwNgtIFyRYAHSA6Gy3be+CqH76sa/rf19xuqa0Qt4RAQA6w97Pc+uehcdHWpPrKBGHU5duiH+dWijvoMAPCxIsAMQydFLgpVUjuqmj009knN13SfC/Q64DAL4Xdt59Y2Ln317Q31Obv/NqVtiqy6eOJzbRWfKOC/xoIMECQFwaBnpLN8/aN9z8UQVrTvR3+5uDAAAgAElEQVT5kgy4+R2A75WOpenk5dMub5+4rJdmTsGX0O0PNm+N/1RaJe+4wI9DsRIsFEVfvnwpOs8DAIqm57CBp7dPGWJJmH/jw97NZzlMtrwjAgB0kgoe7zMl5O99806E2Ggx6HNPpC9Yc/HF46zvf4BIIH8KNFVOfn7+7t27J0+erOBDh4GfB41G27t375s3b1RVVf38/BYtWoTNI4vDq/6yZFKvZ2mx12qSdyRqVTwaNGLw3LlzRQchrK6ujo2Nfffunba29siRI3/55Rf5vQ8AQAdsvfos9eoz40PZtfinsQ+KTz56N6aHwYjwwdpdG6Q0OTn5+PHjVVVVVlZWixYt6tevn6QC7jQejxcXF/f06VMWi9W7d+9ly5bJfvDtn4SinMHKz89fsWLFoUOHgoODZTxULgBtamho6N279/v372fNmjVx4sRbt24NHTqUy+VipV++fAmeEqbGyPDRpHh5+5w5c2bUqFECgQArLS4udnNzY7FYCxcuDA4O3rt375QpU+T3VgAAYjHs3m3e+lk3No2d0F37UX7t6F1PVq8/l/o4U9CpM1pHjx4NDw93c3OLiopycHAYMWJEfHy8xGP+JgKBYOTIkefPnw8PD58zZ05lZaWbm1tVFVwYlQqFOIMlEAhmzpx55MgRLS0teccCwH+sXLkyKCjoyJEj2MuJEycOGzZs//79y5cvRxAkMjJy5syZ27Ztw6bKmfn7XC8vr9OnT8+ePRtBkHnz5kVHR69YsQJbd8KECe7u7sLkDACgyHAa6qPnjBmNILWfKh/cSjpw/92fT7944SiTxgzs2V/ciTirq6tXrVqVlJTk6uqKIEhwcPDQoUODg4NHjhwp+ylohI4fP06lUpOSkrCZuEJDQ1euXPnHH39cuXJFXiH9wBQiwUpOTv7y5Utubu66deuYTObWrVvbnAKTz+cfPHiQxWr5rMfnz5/pdDqdTu+wIR6Px+fzxakpWVwul8/ny37aR4FAwGAwZHxGEEVRFEXl9SFLsN0nT55cuXJFdIMzZ848f/78ggULEAR5+vTpzp076XQ6j8djs9k4HO6XX3558ODBpEmTeDxeUlLS5cuXRdedMmXKwYMHdXV1xYlQLh0nEAh+jI4TE4/HQ1FUeNJRZlAUbW5uVlaW6dUDPp8vEAjE+ZDZbLaOjo6Yu1Mej/djd5ymsW74nJBwBClKzr33siHq2jvdKznDTVVGjfPRNdBuf92nT596eHh069ZN+BG5uro6ODi8fPly6NChYgYgfseJ6dGjRzNmzGCz2Wz2f24e/fXXX729vVs0weFwJNuumPh8PovF4vE6nqCMwWD8+++/SUlJLZarq6svXrxYQa6DKUSC9fLlSw6H4+7uPnPmzB07doSFhX3+/Ln1XJ58Pr++vr71R0+j0bBjQ4cNof8lsdC/hVzalf37xZqT/ZuVeOfyeDwcDie6QTwej+3cEQThcrnCUqxdYSn2r4qKSot1cThci4Udvh1JvRfx/QAdp+DtCluXfXNiNirmX+kP800Xh5OXm2Vvu/lcwfPbKQ8+0uOPZQxAGn3dzAYO76+m1vak7BwOp8UOBPnffYg4JP4hi+64OgxJkTsXRVEGg9HY2NhieVNTE5/PhwTr/5HJZG9v7z59+iAIsnTp0j///LO4uBh7KQqPx2/ZsqX16snJyYWFhdraHfyeQBCExWKhKCpOTckSCAQ4HE5TU1PG7bJYLE1NTexUsMzw+Xwmkyn7D5nBYHA4HAm26+vre/Pmzc2bNwuXXLt2zdvbG2vC19f31q1bUVFRPB6PQCAQCIRr164FBwdra2tra2v369fv9u3bv/76K7Yij8e7ceMGlUolk8li/qFCx0kbn8/H4/Gtf8hJG4PB0NTUlPEBgMvlcrlccT5kNTW1xsZGcWoymUwWi/VTdZyhOXHiovETEeTLu08PE9MuZ9bE5iV5IpThvSz8RnsTNAii9YcOHbp8+XIKhWJlZYUtKS4uzsvLE+5DxCF+x4lpyJAh169fnzt3rpKSErbk6NGjgwYNatFEc3Mzj8eTfedyuVx1dXUCgdBhTU1NzVmzZin4I3EKkWBZWFgUFv5nOF08Hk8gEIhEonxDAmD37t3u7u58Pn/ixIlsNvvw4cO5ubmnTp3CSv/+++9BgwY1Nzdjd74fOnSIRCItXrwYKz1y5EhAQEBDQ0NwcDCJRNqxY4eGhgb2BCIA4Htn2cN2Vg/bWQjSWFX/4m7KnczybXmMXuwGf0eDYWFDtI10EQTp1q3b77//HhgYuG3bNhcXl5ycnNWrV2/YsMHExESOkS9evPjcuXMRERFLlizR0NC4efPmvn37kpOT5RjSD0whEqywsLCdO3cyGAwNDY2cnBwfHx9TU1N5BwV+dlZWVq9fv96wYcOUKVOwYRpSUlKEP+mcnJxSUlI2bNhw7tw5dXX1wMDAkydPqqmpYaX9+vV7+vTppk2bTpw4gQ3TEB0dbW5uLr93AwCQPH1z49C5Y0MRpPJ92aO7aTffU/fte+nBbRjqYuIdNHD9+vV2dnZ//fUXNkzD7t27x40bJ9+A8Xj8s2fPYmJiFi1ahA3TkJaW5ujoKN+oflQKkWDZ2toePXo0MjLS3d29srLy/PnzwrOXAMiRra3t2bNnv1bq7Ox86dIl7ClCdXX1FqV9+vS5ceOGlAMEACgEC6duvzp1+xVBqoo/P7qTdjOvfseHVDsWaYCRyoFNe9z83JUV464gBEF0dXVjY2PlHcVPQSESLARBwsLCwsLC5B0FAAAA0HnmjjYzltrMQBA+h5v9LONlesnuu0VfntQ4s0helur+Izwte9jKO0YgI4qSYAEAAAA/DBW8av8RXv1HeCEIUva2OOl5TtqX5lMX8s1ZyR66Ak9X675D3DX0deQdJpAiSLAAAAAAKerW27Fbb8dpCMJuZmY+ep2aW3YsueLTG7oti9RbU9DXkeju21fP2kzeYQIJgwQLAAAAkAU1TXXv0MHeoYMRBOFzuO9S89KzSm7l1m8tSNfmMF1QWi8zzUHerjYDeiGyHYoWSAMkWAAAAICsqeBVXQe7uw52RxCEw+a+Tc7Nyil9Ucc+eqfc4GqBI9LkZKDmbGts6WiJGBvLO1jQGZBgAQAAAPKEV1P18O/n4d8PQRC+AP2QW5KfU1JYTn78llZe+MXswltHlO5kqObS3bSHR08Nu24IPGj/PYAECwAAAFAUKspKzn26O/fpjiAIl8ttaCA3fCEX5JQWVlLuZNOr8gssac9sEEY3bZVuprp2DpY2vbqrWcD9W4oIEiwAAABAQeFwym4ePdw8emAvWWxuUdb7kvcVH6sot6p4FZV1jal006bH1oJmay3lbiZadvYWdi7dtG0sEYUZeeunBQkWAJ335MmT9PR0bW3tgIAAZ2dneYcDwA/u2bNnaWlpmpqaw4cPd3FxES1CUfThw4eFhYWampr+/v4ODg6ipQKB4O7dux8+fNDR0QkMDLS2tpZNwDQaLSEhARvJfezYsV2fQpGgptpnkGufQa7CJXQ6qySvpLSo4mMN9XENr7y6rj6DpcPKNGVTzZQ45uqIhb66BVHPytaM2N1a1dQUQZDCwsKXL19iI7kPHTq0iyGJ79mzZ2/fviUQCH5+fm12X2Zmpp6e3ogRIxSk+7oIEiwAOoPNZoeGhpaUlAwdOpTFYm3YsCE6Ojo6OlrecQHwY+JwOOHh4e/evfP392ez2Rs3bly6dOm6deuw0ubm5pCQkNra2sDAwMbGxujo6JiYmN9++w0rbWxsHDFiBJvN9vf3r6mpWbFixb59+2bMmCHtmFNTU8PDw/v06ePi4vLgwYPo6Ojbt2/37t1bsq1oaRFapFwcnqCitLLqY2VVFamyvuk1lVfdQK8tqmI8rCfSSQaMRiVqvZ4yH49y4m+8vLM7bkHkPDNrMw0zE2UDA8nG9v8hcTjh4eFFRUVBQUEMBmPNmjXLli1bu3YtVop1X11dna+vb2Fh4bp160S7j0wmjxgxgsPhCLtv//79UopTsiDBAqAz1q1bp6SklJ+fz2AwCARCXV3dgAEDPD09ZflzEICfx8aNGzkcTkFBAYvFwuPxJBIJ+8YFBgYiCLJ8+XIjI6NHjx6pqqoiCFJcXOzl5eXp6enp6YkgyMKFC93c3I4fP66srIwgSHZ29rBhwzw9PXv06CG9gJubmydNmhQbGzt16lRsyaFDhyZNmpSXl4cFKT14nLK9k5W9k1WL5QwmJ+FKwonD/06bNpPJUSIzOBq2vcupzD+e1jURGKr89/oMih6PpYdwNZRRDRyqRVDVUlPV1FDV0iDoaKtr6Wpq6Wpp6euqqaupaRIIWhpKqqpK4p2T27BhA5fLzc/PJxAICIJs2rQJ652AgAAEQaKWRxubmJ85dbG5qcm2u1VFRYW3t/eAAQM8PDwQBFm4cGHv3r3j4uKw7svKyho+fPh3MWExJFgAdMaFCxceP36spqbGYDAQBLGxsVm2bNmFCxcgwQJAGi5cuJCQkEAgEFgsFoIgVlZWK1euvHDhApZgXbhwIT8/X5i4ODo6Llq0KD4+3tPTk8Vi3bx5s6amRvm/I0v17dt36tSpV65cWb9+vfQCfvnypYWFhTC7QhBk8eLFBw8ezMjI8PLykl677dBQxz98nhgyKeDX3yYIF+bm5oaEhFRUVDTRWbWVdaSqhkYSlUxuotFZLB5ayeY10QR0MqdZwKMrMenKVLpKA0/5P5kDTsBX47FxAr46j6OEoBoCLqKEKCm3ce8Xk2lr6Oo8Z90V7CVdBe8+7a/tT+kxL+5yVHCIyWgVY/7s4+kqAsGOQIr7sAELFy6Mj4/38PBgMpm3bt2qra0Vdp+7u/uUKVOuX78u5U9LAiDBAqAzyGSymdn/PLljbm6empoqr3gA+LG1+Y178uQJgiBcLrepqelr30cajaaqqqqnp9eitLa2VsYBY+2SyWSptts+Mpnc4tyPhYUFFpK2FkHbydrByRpBkObmZh6Pp6ur+7XtcHgCNpfPZrGZTQwem8OgMfg8XnMTA6eE8NA26kdFRcXExGhpaRFUlFSVldRwSEpW1pOHV/8+uB9VxdlamTcwGDg1NTKZjN2mZm5unp6ejiAIjUbD4/EtIjE3N+fz+RL4OKQMEiwAOsPR0TElJSUkJES4JDk5Ge5zB0BKsG9caGiocInwG6eqqmpra5uSkjJ48GDRUuw2akNDQzU1tdzc3F69eomWjho1StoBv3nzhsViYRfFEARpamrKzc2V714C+xgjIiKES5KSkpycnL51O3icMh6nrK2uiuhriVOfo9rMUKIGDB8iXHLg0hnTHnZ6NhYIguhbW6ekp/v5+QlLk5OTXV1dEQQxMjLC4/F5eXlubm6ipWpqat8asxyg37+kpKS+ffuKU5PJZJJIJGnH0xqFQqHT6bJvt66ujsPhyLhRHo9XU1Mj40ZRFG1ubm5sbJRZcwkJCVZWVqmpqWQymU6nHzlyxNTUtP03rqurGxMTI87GoeNkoLGxsbm5Wfbt1tTU8Hg8GTfK4XDq6urEqRkTE6OrqytOTQaDQSaTuxbXN0hMTLSwsEhOTm5sbKTT6cePHzcxMamsrMRKL168aGdnl5WVhaIoj8fbs2ePlZWVMLxDhw717NmzoKAARVE2m71hwwYnJ6dv7f1OdFxYWNikSZOwMGpra0eNGjVz5sxv2oL4HSemqqoqIpEYFxcnEAhQFE1OTrawsEhMTGxRjU6nUygUCbYr7D4URQUCQVxcHJFIrKqqwkovXLhgb2+flZVFIpHodHpsbKy1tbVwt3Dw4EFXV9fCwkIURdls9vr1652dnXv37p2UlCTBCKUBzmAB0BmjR4+ur68fPXq0kpISi8VycHC4ffs2kUiUd1wA/JiCg4O3bt2KncFiMpn29vYJCQnm5uZYaUREBJlM9vf3V1dXp9Forq6ud+7c0dfXx0oXLlzY1NQ0YMAAXV1dMpk8YMCAhISEro+Y0KGTJ09GRUURiURTU9Pa2tpZs2bt3r1b2o22z8zMLCEhYd68ecuWLVNXV0dRdNeuXcHBwdJuNzg4eMuWLaGhoUpKSkwm087OLiEhQXgJdcqUKVj3qamp0el0Nze3O3fuCK/qLlq0qKmpycPDQ09Pj0wmDxw4MCEhYdKkSdKOueuUULSt66XfleTk5MjIyKysrA5rslgsBoNhILUnUb+GSqXicDhNTU0Zt1tfX6+npyftJ1Za4PP5DQ0Nsk81GAwGh8NpcaeFtKEo+u7dO11dXQsLiw4r6+npLV++XPhgeTug42SAQqHg8XgZHGVbqK2tNTIyUpHtIJBcLpdCoRiLMaXdli1bYmNjKRRKhzWZTCaLxRImMbKBomhRUZG2tralpWXrUoFAUFVVpamp2WZUfD6/qqpKR0ennVuL2tHpjmOxWNXV1ebm5p24qiV+x30rEonEYrHMzc2V2pp1p8N7sDoHRdGqqioCgWBoaNi6VCAQFBYWGhkZtfmEYIvuc3d3P3DggLe3t2QjlCw4gwVA5ykpKZmZmQnvsQAASBX2jcPj8W2WKisrt5l4YVRUVKysWo5cIAMEAsHW1lb27bavzRRH2pSUlNr5LaqsrGxubv613zzy6r6uUJZ3AAAAAAAAPxpIsAAAAAAAJAwSLAAAAAAACYMECwAAAABAwiDBAgAAAACQMEiwAAAAAAAkDBIsAAAAAAAJU6wEq7KycuPGjfKOAgAAAJCMioqKFy9eVFVVyTuQ/8fj8XJzc9PS0uh0uhzDaGpqSk1Nzc/P5/F4rUupVGpSUtK7d+++i3md26RACRaKolFRUUeOHJF3IAAAAEBX1dTUjB071tXV9ffff3dycpo8eTKZTJZ3UMiTJ0+cnZ1HjRr166+/WllZ7du3Ty5h7Ny509LScvbs2UFBQT179nz16pWwSCAQ/Pnnn5aWlgsWLPD393d3d8/MzJRLkF2kQAnW1atXvby8vjZELwAAAPC9EAgEERERZmZm1dXVb9++raysxOFwM2fOlG9UHz58mDRp0s6dO8vLy4uKil69enXw4MHz58/LOIzjx4+fOXMmPT29sLDwy5cvGzZsGDduXFlZGVYaGxubmJiYm5ubn59fVVW1aNGisWPH1tXVyTjIrlOUBItEItXW1rq6ukKCBQAA4HuXlpZWXV196NAhbO4XHR2dU6dOZWZmFhQUyDGqQ4cOzZ8/f9y4cdhLV1fXuLi47du3yziMHTt2nDp1ytnZGXs5ZcqUadOmHT16FEEQbP7pCxcuYPMLKSkpzZ8/PzAw8PTp0zIOsusUZS7CEydOLFmy5NWrVzjcV0NiMpkWFhaNjY2tixwcHKqrq8VsS/yakkWj0WTfaENDg+wbReT3ITOZTNk3ymKxxJkc18zMzM7OTsxPBjpONo1SqVTZtyuv3+LidG5TU5ONjY2C706/i47Lzs62s7NrsYqdnd2bN28MDAy+qV0Jfsjv3r0LCwsT3aCpqenHjx/bbILBYEiqXVEoipaVlZmYmIg2am1t/ezZMzabXV9fT6PRdHV1RUu7detWUFAguoTD4YSHh7fuEX19/crKSnV1dWlE/q0UIsF69uyZt7c3NtN4mzN7Y9TV1cvKylrf75aenr5q1SoikdhhQ2w2m8FgyHj6dwRBaDQaDof72hyW0kMikXR0dFRVVWXZKJ/PJ5PJ0pj+vX1MJpPD4Uh8+vcOUSgUAoEgznzPNTU1ZWVl4vyhQsfJAJVKxePxst8R19fXGxgYqKioyLJRLpdLo9HEmd9XS0vry5cv4vyVslgsFoulp6cniQC/wffScU5OTidOnBD9JFEUraqqcnFxEefjxYjfcWLq1q0bmUwWDaCiosLCwqJFSAwGg8fj6ejoSKrdFkxNTZubm0XnwCaTyba2tng83sLCQk1Njcvlis7b3dDQYG9vLxokDof7559/BgwY0GLLKioqCpJdIQqSYMXExGBPWDQ3N9fW1trZ2R07diwgIKB1zTb7W1tbW1lZWVm548udSkpKSkpK4tSULHm1iyCImJ+MBKEoirUry0aR76FzURQVCARiRggd96O2i8ijc7HmxNxJ8vl82J226Zs6zs/Pj8PhHD58+LfffkMQBEXR7du3Gxoauru7i78R8TtOTLNnzx49enR4eDh2eY5Goy1dunTevHktmpD2hzxv3ryoqKiEhARNTU0EQfLy8o4cOfL48WMlJSUcDjd79uw//vgjPj4e++GalpYWHx+fnp4uGo+ysrK2trbsT5d8E4VIsJ4+fYr95+HDh7/99ltxcbF84wEAAAC6Ao/Hx8fHT5o06Z9//rG1tX3//j2CIFevXpVLaijk6em5adMmHx8fT09PPB7/+vXrESNGLFu2TMZhrF27tri42MnJycPDg8ViZWZm7tq1q3fv3thTltu3b588ebKzs7O7u3tTU1Nubu6RI0fs7e1lHGTXKUSChTl9+vT169c/ffq0bdu2iIgI0ZOHAAAAwPelV69eeXl5SUlJnz59+v333728vOSbXWEWLFgwfvz4pKQkBoMRGxvr4OAg+xhwONyFCxfev3+fkZGho6Pj4+Mjel+aurr6rVu3CgoK3rx5Y2ho6OPjI/tbCCRCgRKsmTNnyv0RVgAAAEBScDjckCFDhgwZIu9A/oeRkVFoaKi8o0CcnJycnJy+VtqzZ8+ePXvKMh6Jk382DQAAAADwg4EECwAAAABAwiDBAgAAAACQMEiwAAAAAAAkDBIsAAAAAAAJgwQLAAAAAEDCIMECAAAAAJAwSLAAAAAAACQMEiwAAAAAAAmDBAsAAAAAQMIgwQIAAAAAkDBIsAAAAAAAJAwSLAAAAAAACYMECwAAAABAwiDBAgAAAACQMEiwAAAAAAAkDBIsAAAAAAAJgwQLAAAAAEDCIMECAAAAAJAwSLAAAAAAACQMEiwAAAAAAAmDBAsAAAAAQMIgwQIAAAAAkDBIsAAAAAAAJAwSLAAAAAAACVOIBItOp8+fP9/ExMTQ0PCXX35pamqSd0QAAAAAAJ2nEAnWvXv3TE1NS0tLHz58+OTJky1btsg7IgAAAACAzsPJOwAEQRAdHZ1169apqqr269fv119/LSgokHdEAAAAAACdpxAJ1ogRI4T/Ly4u9vPza7Man88/ePAgi8Vqsfzz5890Op1Op3fYEI/H4/P54tSULC6Xy+fzURSVcbsCgYDBYKioqMiyURRFURSV14cs+3Z5PB6bzebz+R3W1NTU1NXVFSdCuXScQCD42ToORVGBQCDjdlEUbW5uVlaW6dUDPp8vEAjE+ZDZbLaOjo6Yu1Mej/dTdRyDwVBSUpJlo+J3nGRxOBy5tMvn81ksFo/H67Amg8H4999/k5KSWixXV1dfvHixjHeeX6MQCZbQp0+fqFTq4sWL2yzl8/kfP35snWDV1NSgKCrOEQ47hIhTU7KwnEP27SIIIpfdEIIgsn+zcuxcgUAgTrs4HE5VVVXMCKHjpE38jpM47C3LuEVEvM5FUVTMv9KfsOP4fL6MEyzxO06y5HXMEr9zBQJBXV0dh8NpsVxHR4fP50OC1RKdTl+6dOnZs2fV1NTarIDH4/fv3996eXJycmRkpK6ubodNsFgsBoMhTk3JolKpOBxOU1NTxu1yOBwtLS1VVVVZNsrn89lstuw/ZAaDweFwZN9uY2MjgUBQV1fvsCaVSm1oaBAnQug4GaBQKHg8XkNDQ8btslgsbW1tGR8AuFwuhUIR50MmEAgkEkmcmkwmk8ViQcdJlfgdJ1nNzc08Hk/27ZLJZA0NDQKB0GFNLS2t33//3dvbWwZRdZpC3OSOIAiXy12zZs2+fftMTU3lHQsAAAAAQJcoxBksPp8fFRU1bdo0TU3NhoYGBEF0dXVl/PMdAAAAAEBSFOIM1tKlSw8dOjRo0CDj/3rz5o28gwIAAAAA6CSFSLD279+P/q+BAwfKOygAAAAAgE5SiAQLAAAAAOBHAgkWAAAAAICEQYIFAAAAACBhkGABAAAAAEgYJFgAAAAAABIGCRYAAAAAgIQpxECjXcdgMMQZOovNZjc3NxsYGMggJFFUKlVVVVX2czuQyWQdHR0cTqa9LBAIGhsbDQ0NZdko8t8ZV/T09GTcbmNjo7q6ujhzO/D5/KqqKnH+UH+qjmMymWw2W/YdR6FQ1NTUxJnjSLJIJJK+vr6MJ3vm8Xg0Gk2cXV9VVRWfzxfnr5TFYjGZTH19fUkE+A3kNVWOgnecZDEYDC6XK5epcjQ1Nb82XZ4oBoMhg3i6SEnGc45Kw/v370NCQsR5I0wmk8/na2lpySAqUXQ6XVlZWfZ7hObmZjweL+Mx8Xk8HpvNlv3EiwwGQyAQyKVzVVRUxDlO19fX6+joiLPvkEvHYfPY/1QdJ69vJYFAkP2UdhwOR5zOZbPZNBrN2Ni4w5o/4e5UkTtOshR/d6qkpHT37l0nJycZRNV56M/k6tWrwcHBsm93wYIFe/bskX27Dg4Ob9++lXGjHz9+JBKJMm4URdG4uLipU6fKvt2JEyeePn1astt0dHTMzs6W7DY79PnzZyMjIxk3iqLoiRMnIiIiZN9uRETEiRMnZN+ukZHR58+fZdxodna2o6OjZLd5+vTpiRMnSnab4pg6dWpcXJzs2yUSiR8/fpRxo2/fvnVwcJBxoyiK7tmzZ8GCBbJvNzg4+OrVq7JvV0rgHiwAAAAAAAmDBAsAAAAAQMIgwQIAAAAAkDBIsAAAAAAAJAwSLAAAAAAACYMECwAAAABAwn6QgUbFZG9v7+vrK/t2PTw8LC0tZd9ucHAwkUiUcaMGBgZjxoyRcaMIgjg7O7PZbNm36+XlJfGxWIKCgkxNTSW7zQ7p6+uPHTtWxo0iCOLk5CSXMQMHDRokl0F0xo4dK/vBOU1NTYOCgiS7TScnJyqVKtltimPgwIHOzs6yb3fMmDGyH/CTSCQGBwfLuFEEQXr27Cn7sX8RBPH19bW3t5d9u1LyIww0CgAAAACgUA8hSWEAAA/eSURBVOASIQAAAACAhEGCBQAAAAAgYZBgAQAAAABIGCRYAAAAAAASBgkWAAAAAICEQYIFpA5F0ZcvXxYUFMg7EMmAB28BAPICu9PvyI88DlZOTk5CQgIOh0tPT9+/f3+3bt3EL5VGo3Q6fdmyZTdu3ODz+SEhIYcOHdLW1pZIo+23K1RZWXn8+PGNGzdKqlFx2s3P/7/27jWoqaONA/hGwkWkiFgiLaBGwGJrhSJWkcGUgkIt1SLUe3W0RbDS4mgVBhSrfmhLwGqHoV6g9YaDjApSK1gc8YYNimhF60gDiOAlEwENSAkhOe+HnZ43byIhwgkg7//3gTnn7OZ5dgksD2FzuCkWi+fPn+/n59drefPz8y9cuODg4FBeXh4fH+/l5cVJ0sbGxp9//jk9Pb2yspLP1/3eMdFXFEB/gOVUB5bTHvq/WE6ZAaq1tfXdd99VqVQMw2RmZgYFBRnfaqKkOTk5SUlJCoWirKzs9ddfX79+PSdJu8xLaTSaTz75RCAQcJXUmLwVFRUhISHNzc0cJu0yb11dna+vr0ajYRhGIpHMmDGDk6Q1NTUfffRRXl4eIYSmNn5IAC81LKc6sJz20P/JcjpgC6ysrKxly5bR4/v37xNCFAqFka0mSlpYWNje3k6PExISZs+e3fOMxuSlcnJyfvjhB2dnZ66SdplXrVb7+PhcuXKFw4zG5JVIJMOHD29oaGAYpri4OCYmhsPUdXV1z10RTPQVBdAfYDnV6YPllBMDfjkdsHuw7ty58+qrr9Lj1157bdCgQY8ePTKy1URJg4ODzc3N6XFlZeW0adN6ntGYvISQhoYGmUw2fvx4CwsLrpJ2mbekpKS+vv7GjRshISEikejixYu9k3fixIlvvvmml5dXWlpaYWFhcnIyV3m7PSSAlxqWU+0OWE5NbcAspwO2wJLL5ey3H4/Hs7GxUalURraaKCmrpqbm6dOnq1at6nlGI/NmZGRERkYSQvT/1G26vOfPn29vb/f29i4oKAgJCQkLC+PqX84Zzsvn81NSUt54443U1NTc3NzS0lJOkvZkSAAvNSyn2h2wnJragFlOB2yBNXTo0JaWFvZUqVRq/9tjw60mSkq1tLSsWbNm//79lpaWPc9oTN7i4mI/Pz+ajsfjcZW0y7yNjY1+fn5eXl48Hm/NmjVNTU2VlZW9kPf69etbt24tKCiorKwMDQ0NCQlpaGjgJG+3hwTwUsNyyp5iOcVyarwBW2CNHDny3r179Li5uXnYsGHa/8HecKuJkhJCVCpVQkLC9u3bHR0de57OyLxbt279/PPPPTw8li1bVl1dPWbMmKKiol7I6+TkxP7aYWFhYWVlxdU3ieG82dnZM2fO5PP55ubm3377rbm5eVtbGyd5uz0kgJcallO2FcspltMX0NebwEzl4cOHI0aMoDvjjh07Fh8fT68fPHjw8ePHnbWaNGlHR8eqVav++OMP+b/YTZomzct2O3XqlLu7OycZjclbXV0tEAiePXvGMEx5eXlwcDB9K4qp8+7cuTM2NpZeqaqqmj59OidJqdraWkKIUqlkr5j0KwqgP8ByymA5xXL64sy4vY1H/2FjYyMUCrdv315bW1tTU5OUlGRmZqZUKsPCwnx8fDw9PfVbTZ00LS0tLS0tMzNT/K+ZM2c6OzubOq+rqysh5Jdfftm3b19ZWRmfz3d2dubkFwLDeX18fNzc3Hbs2FFfXy+RSMRi8ZAhQ3qetMu8ERERZ86cOXfunFQqLS0t/f777wcPHsxJ3vz8/F27dl27du3Zs2dWVlajR4829VcUQH+A5RTLKZbTbuAxA/o+qgAAAAC9b8DuwQIAAADoKyiwAAAAADiGAgsAAACAYyiwAAAAADiGAgsAAACAYyiwAAAAADiGAgsAAACAYyiwAAAAADiGAgsAAACAYyiwAAAAADiGAgsAAACAYyiwAAAAADiGAgsAAACAYyiwAAAAADiGAgugX1OpVGq1uqOjQ61WmzRRa2vr2bNnt2zZ8vjxY8M929vbJRJJcnLynTt3uper5xGMpDMpuVyem5ubnJxs0qR9zvinEgBMBwUWQL924MCBoKAgc3PzFStW6DRdvXo1MjKSz+dHRET89ttv9KJarY6NjV29evWLJjp9+nRKSsqmTZuePHliuKdEIklPT4+Li6urq3vRLFxFYBjmxx9/FAgEy5cvN9BNZ1IHDhxITExMT0/vXtLuaWtrU6lUnbUaOZEXYvxTCQAmxABA/1ZeXs7j8Qghe/bs0W91c3P7559/6LFGo1m+fLmvr29NTU03Ep06dYoQ8vfff3fZs6qqihBSVFTUjSycRNi6deuaNWsuX7584sQJwz11JrVu3bpRo0Z1L2k3nDt3bsSIEdevX2dPHR0dq6qq2A50IlKpVCaTqdXqcePGbd++3XBAnQjPZfxTCQAmwu/L4g4AjGBnZ/fxxx9LpdKYmJh33nln4sSJ2q0CgcDKyooQwjBMUlLS+PHjd+/ebWZm1o1EgwYZ+5K28T1NEUEul3/zzTdnzpyZNGnSiybq+chfSH19vUwmc3BwoKcuLi6hoaHDhw+np+xEXF1d6ZXQ0NC3337bQECdCJ3p5WkCgD58EwL0dzwez9ra+ujRo5aWluHh4Q0NDTqt7PHGjRsDAwOVSmWvj7FXVVVVqdVqe3v7vh5I1ywsLAghdnZ29FQoFO7atcvW1pae6kxEpVLNnTt35MiRBgLqRACAfgsFFsDLwd3dfe/evbW1tYsXL9ZoNPodsrKyXF1dPT09Hzx4QAhJTU21tLQUCATfffcdIaSpqenrr7/m8/kJCQkqlSolJWXlypVRUVEBAQGXLl0yZgB3796NjY0NCAiYOHHipk2btJuMDNiNCIcPH/7000+jo6NDQkKioqIIITdv3ly7di0hRCQSOTo6FhUVEUIYhsnIyIiNjf3iiy9EIlF8fHxra6uBudy7d8/Pz2/w4MGenp5nzpxhr9fW1q5YscLd3d3Ozm7u3LkKhUL/sc/tc/HixaioKKFQePv27SVLlgwdOvTmzZv5+fmJiYmEEKFQ6OjouGXLlgULFtA/8OlPZNu2bdOnT580adLp06fZXKWlpfPmzXNzc3NwcFi/fn1RUZF2BCMHDAB9o6//RgkAXaipqVm0aBE9Xr9+PSFk06ZNbKufnx97vH//fqK182bZsmX29vbt7e30VCKRREZGdnR0BAcHb968mV7cuXOnra3tgwcPGIahxcpzN+7s3bs3MDCwsbGRYZiGhoalS5eSf3dQGQjYwwgVFRWurq4dHR0Mw6hUqoULF9IOFy5cIIRUVFSwwdeuXbtkyRKNRsMwzKNHj9zc3AICAtRqtf6k4uLibG1t161bJ5VKb9++7e3t7eDgwG5imz59el1dHcMwJSUlVlZWYrFY/1Px3D719fVxcXGEkPnz52/YsMHDw4Nukzpw4AAhhMaXy+VJSUnag9GZCN2T/tNPP9HT5OTkefPmNTc3azSas2fPikQi/QidDdjAUwkAvQMFFkB/p11gqVQqkUjE4/FOnjxJr2gXWL///rv2j9XLly8TQo4cOUJPk5KS7ty5k5eXRwiRSqX04sOHDwkh+/btYzr/qfz06VMLC4uLFy9qD4ktjwwE7GGEo0eP2traXrp0iVZO7M59nbqksrKSx+NJJBI2OC1r6P53/QLLzs6OFm0Mw/z666/aobTfHBAWFjZ//ny9Z6PTPoWFhYSQ9PR0hmFkMplSqWT+t8Bi+3RWYNEXJmmBdf36dR6PJ5PJ2Fz0edSJ0NlgUGAB9Dlscgd4mfD5/OzsbG9v70WLFl29elUoFGq3au/HIoT4+Ph4e3vv3r07PDxcrVbL5fKxY8fSH/mJiYnW1tZWVlY2NjZhYWGGN01fvny5vb193Lhxz20tKyvrMmD3IkydOnX06NFTp051cXEJDAxcuHDh6NGj9R9eWlrKMIyTkxN7JSAggIb98MMP9fsPHTqUfRPAqFGjCCHs7QycnJyys7OLi4vNzMyqq6vZzenaOutDY7733nuEEIFA8NyZGn7zgfbTd+LEiVdeeUU7Tnh4uH4EYwYMAH0CBRbAS8bR0fHw4cMBAQERERElJSUGevJ4vJUrV0ZGRtbU1Pz1119z5swhhDAMQwjZuXMnu/O6S/QlpYaGBu3t2GyrMQG7HeHKlSvnz58vKCg4evTo3r178/LyZs+erdOnpaWFECKXy52dnekVWmcYswteu6ZRKBT+/v4zZsxITU21sbGJjo6WSqU6/bvsY25u3mVSYyiVSoVC0dLSYmNj01kfYwYMAH0Fm9wB+jv6arP2FX9/f7FYXF5eHhMTY/ixCxYssLW1zcjIKC4uDgwMJIS89dZbhJCCggLjB0BvHHD8+HH2yq1bt9hjYwJ2L0JJScn9+/eDgoJSU1OlUqm7u3t1dbV+cE9PT0LI2bNn2Su1tbU8Hk8kEhkxuf86cuTIjRs3Nm7cSGsaWrd1o4++btyF38vLixCSk5PTwwEDQF9BgQXQ3zU1Nem/O2z16tXh4eGZmZkVFRXsxba2NkKI9m0ahgwZsnTp0vT0dKFQSF+tmTNnjoeHx4oVK44fP97W1qZUKvfs2UPfeKj/cGrChAlBQUGbN2/Oy8trbW09efIk/cFPexoI2MMIf/75J91LRAhpbm42MzOjL1/RcdKPhJApU6YEBweLxeK7d+8SQhiG2bFjx7p16yZMmKA/KRpfZ4L0Cv38HDp0SCaTicXia9eu6RdGBvrQIDrBaelz7Nix06dPs6m1B6M9Ee2hzpo1a/LkyWvXrs3NzVWpVAqFgr6zUjuCgcF09lQCQO/ps91fAGCE3bt3+/v729raRkdH3717V7vp6dOnY8eONTc3p6dZWVnTpk0jhMyaNauwsJDtduvWLT6fr71duqmpKTIycsyYMU5OThEREbm5uQYeTslkssWLFwsEAhsbm6SkJLpFXSQSZWVldRaw5xHy8/P9/PymTJkSHR0dFRVF74d+5MiR999/nxDywQcfsLdxb25u/uqrr7y9vVeuXLlhw4bs7Gy6L15nUomJiS4uLjwe77PPPqPv8qPl6bRp0woKCp49exYaGmptbR0SElJbWzt37txhw4Zt27ZNexad9cnKyqIvmIWGhqalpbH9FQqFr6+vtbX1l19+efDgQdqHDkZnImVlZUuWLCGETJgwgUZ48uRJTEyMUCi0t7f38fE5dOgQm4VGMDAYA08lAPQOHvO/f3oAgJdIa2vrjRs3Jk+erLO9HYzEMIxGo6GfPdz9HAA4hAILAAAAgGP4jQ0AAACAYyiwAAAAADiGAgsAAACAYyiwAAAAADiGAgsAAACAYyiwAAAAADiGAgsAAACAYyiwAAAAADiGAgsAAACAYyiwAAAAADiGAgsAAACAYyiwAAAAADiGAgsAAACAYyiwAAAAADiGAgsAAACAY/8BtJ32aqR5YikAAAAASUVORK5CYII=" title alt style="display: block; margin: auto;" /></p>
-<pre class="r"><code>## Predição intervalar
-qn <- qnorm(0.975) * c(lwr = -1, upr = 1)
-
-##-------------------------------------------
-## Considerando a Poisson
-aux <- predict(m4P, newdata = pred, se.fit = TRUE)
-aux <- with(aux, exp(fit + outer(se.fit, qn, FUN = "*")))
-predP <- cbind(predP, aux)
-
-##-------------------------------------------
-## Considerando a COM-Poisson
-
## Obtendo os erros padrão das estimativas
## Obs.: Deve-se usar a matriz de variâncias e covariâncias
## condicional, pois os parâmetros de locação (betas) e dispersão
@@ -589,157 +509,1153 @@ aux <- c(loglambdas) + outer(se, qn, FUN = "*")
aux <- apply(aux, MARGIN = 2,
FUN = function(col) {
sapply(col, FUN = function(p) {
- y <- 0:50; py <- dcmp(y, p, phi, sumto = 100)
+ y <- 0:30; py <- dcmp(y, p, phi, sumto = 50)
sum(y*py)
})
})
-predC <- cbind(predC, aux)
+aux <- data.frame(modelo = "COM-Poisson", aux)
+predC <- cbind(pred, aux)
##-------------------------------------------
## Visualizando os valores preditos intervalares pelos dois modelos
da <- rbind(predP, predC)
-update(xy, type = c("p", "g")) +
- as.layer(xyplot(fit ~ des | est,
+## Legenda
+cols <- trellis.par.get("superpose.line")$col[1:2]
+key <- list(
+ lines = list(lty = 1, col = cols),
+ rect = list(col = cols, alpha = 0.1, lty = 3, border = NA),
+ text = list(c("Poisson", "COM-Poisson")))
+
+## Gráfico dos valores preditos e IC de 95% para média
+update(xy, type = c("p", "g"), key = key, alpha = 0.7) +
+ as.layer(xyplot(fit ~ dexp,
groups = modelo,
data = da,
type = "l",
ly = da$lwr,
uy = da$upr,
cty = "bands",
- alpha = 0.3,
+ alpha = 0.5,
prepanel = prepanel.cbH,
panel.groups = panel.cbH,
panel = panel.superpose))</code></pre>
-<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<!--==================================================================== -->
+<!---->
</div>
</div>
-<div id="capulhos-de-algodao-sob-exposicao-a-mosca-branca" class="section level1">
-<h1>Capulhos de algodão sob exposição à mosca-branca</h1>
-<pre class="r"><code>data(capmosca)
-str(capmosca)</code></pre>
-<pre><code>## 'data.frame': 60 obs. of 8 variables:
-## $ dexp : int 0 0 0 0 0 0 0 0 0 0 ...
-## $ vaso : Factor w/ 5 levels "1","2","3","4",..: 1 1 2 2 3 3 4 4 5 5 ...
-## $ planta : Factor w/ 2 levels "1","2": 1 2 1 2 1 2 1 2 1 2 ...
-## $ alt : num 70.5 67.5 72 70 64 64.5 67.5 61 70 70 ...
-## $ pesocap: num 25.2 NA 28.5 NA 31.8 ...
-## $ nerep : int 4 4 3 5 5 5 5 5 4 5 ...
-## $ ncap : int 4 4 2 5 5 5 5 5 4 5 ...
-## $ nnos : int 13 14 14 15 15 11 14 11 14 15 ...</code></pre>
-<pre class="r"><code>## help(capmosca)</code></pre>
-<p>Experimento conduzido sob delineamento inteiramente casualizado na Universidade Federal da Grande Dourados, cujo objetivo foi avaliar os impactos da exposição de plantas de algodão à alta infestação da praga mosca-branca. No experimento avaliou-se duas plantas por vaso, nesta análise tomaremos como unidade amostral o vaso e o interesse será somente na variável número de capulhos produzidos.</p>
-<pre class="r"><code>capmosca <- aggregate(ncap ~ vaso + dexp, data = capmosca, FUN = sum)
-str(capmosca)</code></pre>
-<pre><code>## 'data.frame': 30 obs. of 3 variables:
-## $ vaso: Factor w/ 5 levels "1","2","3","4",..: 1 2 3 4 5 1 2 3 4 5 ...
-## $ dexp: int 0 0 0 0 0 1 1 1 1 1 ...
-## $ ncap: int 8 7 10 10 9 5 7 8 8 11 ...</code></pre>
-<p>Assim as variáveis consideradas são definidas como:</p>
+<div id="producao-de-soja-sob-efeito-de-umidade-e-adubacao-potassica" class="section level1">
+<h1>Produção de soja sob efeito de umidade e adubação potássica</h1>
+<pre class="r"><code>data(soja)
+str(soja)</code></pre>
+<pre><code>## 'data.frame': 75 obs. of 5 variables:
+## $ K : int 0 30 60 120 180 0 30 60 120 180 ...
+## $ umid: Factor w/ 3 levels "37,5","50","62,5": 1 1 1 1 1 2 2 2 2 2 ...
+## $ bloc: Factor w/ 5 levels "I","II","III",..: 1 1 1 1 1 1 1 1 1 1 ...
+## $ ngra: int 136 159 156 171 190 140 193 200 208 237 ...
+## $ nvag: int 56 62 66 68 82 63 86 94 86 97 ...</code></pre>
+<pre class="r"><code>## help(soja)</code></pre>
+<p>Dados resultantes de um experimento fatorial 5 <span class="math inline">\(\times\)</span> 3 conduzido em casa de vegetação, onde experimentou-se diferentes níveis de umidade do solo e níveis de adubação com potássio em parcelas que continham 2 plantas. O interesse deste estudo foi avaliar o impacto desses fatores na produção de soja, mensurada pelos componentes número grãos e número de vagegns viáveis. Para controle de variação local, as parcelas foram arranjadas em blocos. Como temos somente três níveis de umidade aplicados trabalharemos esta variável como categórica. Outra observação é quanto a observação 74, que foi considerada como outlier pelo pesquisador responsável e portanto retirada da análise.</p>
+<pre class="r"><code>## Observação 74 foi diagnosticada como outlier
+soja <- soja[-74, ]
+soja <- transform(soja, K = factor(K))</code></pre>
+<p>Abaixo definimos as variáveis que são utilizadas na modelagem.</p>
<ul>
-<li><code>dexp</code>: Dias de exposição à alta infestação de mosca-branca;</li>
-<li><code>ncap</code>: Número de capulhos de algodão produzidos ao final do experimento.</li>
+<li><code>bloc</code>: Fator categórico para controle local no experimento. Foram controladas as variações de ambiente da casa de vegetação, como exposição ao sol, e mão de obra ao longo do experimento, como irrigação e capina dos vasos e controle de doenças.</li>
+<li><code>umid</code>: Fator de níveis categóricos. Faixas de umidade do solo. Procurou-se por meio de pesagens diárias dos vasos, manter a umidade do solo nas faixas de 35 a 40; 47,5 a 52,5; e 60 a 65 do volume total de poros.</li>
+<li><code>K</code>: fator de níveis métricos. Dose de potássio aplicado ao solo na forma de adubação, em mg dm<span class="math inline">\(^{-3}\)</span>.</li>
</ul>
<div id="analise-exploratoria-1" class="section level2">
<h2>Análise Exploratória</h2>
+<pre class="r"><code>## Experimento (des)balanceado
+xtabs(~K + umid, data = soja)</code></pre>
+<pre><code>## umid
+## K 37,5 50 62,5
+## 0 5 5 5
+## 30 5 5 5
+## 60 5 5 5
+## 120 5 5 4
+## 180 5 5 5</code></pre>
+<pre class="r"><code>key <- list(
+ type = "b", divide = 1,
+ ## points = list(pch = 1, col = cols),
+ lines = list(pch = 1, lty = 1,
+ col = c(cols, trellis.par.get("dot.symbol")$col)),
+ text = list(c("Nº de grãos por parcela", "Nº de vagens viáveis",
+ "Nº de grãos por vagem")))
+
+xy1 <- xyplot(ngra + nvag ~ K | umid,
+ data = soja,
+ xlab = "Nível de adubação potássica",
+ ylab = "Contagem",
+ type = c("p", "g", "smooth"),
+ key = key,
+ layout = c(NA, 1),
+ strip = strip.custom(
+ strip.names = TRUE, var.name = "Umidade"))
+
+xy2 <- xyplot(ngra/nvag ~ K | umid,
+ data = soja,
+ xlab = "Nível de adubação potássica",
+ ylab = "Contagem",
+ type = c("p", "g", "smooth"),
+ layout = c(NA, 1),
+ strip = strip.custom(
+ strip.names = TRUE, var.name = "Umidade"))
+
+print(xy1, split = c(1, 1, 1, 2), more = TRUE)
+print(xy2, split = c(1, 2, 1, 2), more = FALSE)</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>## Avaliando preliminarmente suposição de equidispersão
+(mv <- aggregate(cbind(ngra, nvag, ng2v = ngra/nvag) ~ K + umid,
+ data = soja, FUN = function(x)
+ c(mean = mean(x), var = var(x))))</code></pre>
+<pre><code>## K umid ngra.mean ngra.var nvag.mean nvag.var ng2v.mean
+## 1 0 37,5 115.8000 293.2000 48.80000 91.20000 2.395310245
+## 2 30 37,5 156.0000 370.0000 64.20000 43.70000 2.427565924
+## 3 60 37,5 163.4000 584.3000 66.40000 127.30000 2.470499952
+## 4 120 37,5 166.8000 81.7000 67.80000 33.20000 2.466046370
+## 5 180 37,5 155.6000 508.3000 63.00000 139.00000 2.484103301
+## 6 0 50 132.2000 32.7000 55.80000 22.70000 2.377585272
+## 7 30 50 186.0000 1423.0000 78.20000 327.70000 2.392742849
+## 8 60 50 209.4000 801.8000 89.60000 180.30000 2.347156695
+## 9 120 50 214.4000 294.3000 90.00000 15.50000 2.380056874
+## 10 180 50 237.0000 940.5000 97.60000 120.30000 2.425452773
+## 11 0 62,5 139.4000 88.8000 60.60000 50.80000 2.313648571
+## 12 30 62,5 163.8000 92.2000 71.60000 48.80000 2.295677653
+## 13 60 62,5 215.6000 508.8000 91.80000 91.70000 2.349956047
+## 14 120 62,5 238.7500 566.9167 95.75000 94.91667 2.494250659
+## 15 180 62,5 232.4000 500.8000 95.40000 86.30000 2.437854072
+## ng2v.var
+## 1 0.033816078
+## 2 0.013683073
+## 3 0.013660997
+## 4 0.010510982
+## 5 0.011059128
+## 6 0.020876812
+## 7 0.011001292
+## 8 0.022848924
+## 9 0.012783676
+## 10 0.012417259
+## 11 0.025210453
+## 12 0.013469841
+## 13 0.006495655
+## 14 0.004365371
+## 15 0.010088987</code></pre>
+<pre class="r"><code>##-------------------------------------------
+## Para o número de grãos
+xlim <- ylim <- extendrange(c(mv$ngra), f = 0.05)
+mvp1 <- xyplot(ngra[, "var"] ~ ngra[, "mean"],
+ data = mv,
+ xlim = xlim, ylim = ylim,
+ ylab = "Variância Amostral",
+ xlab = "Média Amostral",
+ main = "Número de grãos por parcela",
+ panel = function(x, y) {
+ panel.xyplot(x, y, type = c("p", "r"), grid = TRUE)
+ panel.abline(a = 0, b = 1, lty = 2)
+ })
+
+##-------------------------------------------
+## Para o número de vagens
+xlim <- ylim <- extendrange(c(mv$nvag), f = 0.05)
+mvp2 <- xyplot(nvag[, "var"] ~ nvag[, "mean"],
+ data = mv,
+ xlim = xlim, ylim = ylim,
+ ylab = "Variância Amostral",
+ xlab = "Média Amostral",
+ main = "Número de vagens viáveis",
+ panel = function(x, y) {
+ panel.xyplot(x, y, type = c("p", "r"), grid = TRUE)
+ panel.abline(a = 0, b = 1, lty = 2)
+ })
+
+##-------------------------------------------
+## Para o número de grãos por vagem
+xlim <- ylim <- extendrange(c(mv$ng2v), f = 0.05)
+mvp3 <- xyplot(ng2v[, "var"] ~ ng2v[, "mean"],
+ data = mv,
+ xlim = xlim, ylim = ylim,
+ ylab = "Variância Amostral",
+ xlab = "Média Amostral",
+ main = "Número grãos por vagem",
+ panel = function(x, y) {
+ panel.xyplot(x, y, type = c("p", "r"), grid = TRUE)
+ panel.abline(a = 0, b = 1, lty = 2)
+ })
+
+print(mvp1, split = c(1, 1, 3, 1), more = TRUE)
+print(mvp2, split = c(2, 1, 3, 1), more = TRUE)
+print(mvp3, split = c(3, 1, 3, 1), more = FALSE)</code></pre>
+<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAJYCAMAAACtqHJCAAADAFBMVEUAAAABAQECAgIDAwMEBAQFBQUGBgYHBwcICAgJCQkKCgoLCwsMDAwNDQ0ODg4PDw8QEBARERESEhITExMUFBQVFRUWFhYXFxcYGBgZGRkaGhobGxscHBwdHR0eHh4fHx8gICAhISEiIiIjIyMkJCQlJSUmJiYnJycoKCgpKSkqKiorKyssLCwtLS0uLi4vLy8wMDAxMTEyMjIzMzM0NDQ1NTU2NjY3Nzc4ODg5OTk6Ojo7Ozs8PDw9PT0+Pj4/Pz9AQEBBQUFCQkJDQ0NERERFRUVGRkZHR0dISEhJSUlKSkpLS0tMTExNTU1OTk5PT09QUFBRUVFSUlJTU1NUVFRVVVVWVlZXV1dYWFhZWVlaWlpbW1tcXFxdXV1eXl5fX19gYGBhYWFiYmJjY2NkZGRlZWVmZmZnZ2doaGhpaWlqampra2tsbGxtbW1ubm5vb29wcHBxcXFycnJzc3N0dHR1dXV2dnZ3d3d4eHh5eXl6enp7e3t8fHx9fX1+fn5/f3+AgICBgYGCgoKDg4OEhISFhYWGhoaHh4eIiIiJiYmKioqLi4uMjIyNjY2Ojo6Pj4+QkJCRkZGSkpKTk5OUlJSVlZWWlpaXl5eYmJiZmZmampqbm5ucnJydnZ2enp6fn5+goKChoaGioqKjo6OkpKSlpaWmpqanp6eoqKipqamqqqqrq6usrKytra2urq6vr6+wsLCxsbGysrKzs7O0tLS1tbW2tra3t7e4uLi5ubm6urq7u7u8vLy9vb2+vr6/v7/AwMDBwcHCwsLDw8PExMTFxcXGxsbHx8fIyMjJycnKysrLy8vMzMzNzc3Ozs7Pz8/Q0NDR0dHS0tLT09PU1NTV1dXW1tbX19fY2NjZ2dna2trb29vc3Nzd3d3e3t7f39/g4ODh4eHi4uLj4+Pk5OTl5eXm5ubn5+fo6Ojp6enq6urr6+vs7Ozt7e3u7u7v7+/w8PDx8fHy8vLz8/P09PT19fX29vb39/f4+Pj5+fn6+vr7+/v8/Pz9/f3+/v7////isF19AAAACXBIWXMAAA9hAAAPYQGoP6dpAAAgAElEQVR4nO2dB5jURBvHQ1HgGhzt6L1XQZoioBSR3qtSFaQrKB1BRQFFEEVFQMpHkSpNlHJKb0pHermj3x3XC9dv50vdtEk2u0l2Nzvzfx6SyTvvJJl358clk2SGAFhYWIoiPH0CWFjeLAwIFpaKMCBYWCrCgGBhqQgDgoWlIvMAiT808bFpOzdEmc/cf0zvjwqWSAwg2WmyjJRONbP07Lg5QRA39OzAZF38tEfhOeouPhCVnHfLJxm2MxPi4f0iATndgCDynqa35pcjAtrRqZyeRMMcXXteqrEp2KYVLPJS9xZTdB3Mef09niDmqOR7OCq6NLP8MTb1KRGc4NhLi0yKh0geagqqov+CtCeIcrH0ZjKxirHPyjU+Rd+ef9fYFP4o0rlJqXxtdB7NedleUAXEw1HRI1tR4kMmdSBXPcWj8V4aZUo8RPJUU1ATDcgQ8g9/Z+Z/Av+99OqPesf17nmfd19iAVDQASDWjcqKN6/S64fFP0p37KVVpsTD60UD8n7rAIKYQW8XCaWWYY+o5c0oPXu2PCDWj8ojQw9lSjy8XgwgY3eR/ztsoJJk1Y8NrU2sB/vfqU7sA7Fnlry27VD1F18+l/NZcKFe9F/Y7J+qFajzXRZIPPBlyyV3678JQMLEBv7lu17g93qxvX+d9kxT4LxZHe5UmqD0Nl867N2SAS3oq1t+P4mf1grwf+kkUybx4Bev/fCge2D1eVlCJ34PMh9ulwKX6z0CS3aNEJ4PCwh/eIncFpVB5GGq/QZa5iWaCE/HHirenT2w36unpTES7MN2b8uIb4Q1E+2f2xXnJdqLqoyOh1lNwelwis5bKhYQ8DlB5DvNVP3iZIKs+ulRBFn1tTUJomP5KgRRqVuNEIKYRnrEtyq87bciZHJvQ4L4sCzRBjwtSSyLWkDk2cvu07Ygb5+l/Zj+Grs3ow1E1YtXyH3+/dBe+lLQK80JIvgZEO6nY971z46V2sIU2k3eH/Yvlp/c4Tihk30PMh/7Lu0utm9e6PR+OSJSeD4MIPzh5Q3CXVEZRhCnyFW9PjbB6fCh4t3pA5cmj1DsuSRGgn0cqkgQH4lqJti/fVecl3gvajI4HqY1BSfDKT5vmThAcnoSRMhD5o/nI6rq4CJVdXCLIDplZpP/782xJZQmGpHO7xIzybszIm8aeE4Q+SfP7Q3eIRqT9peJSuz/iIuI1jaqA4VqCrw3rXLEAgB+IgjyzzJX+hj5M80jiN+AYD8RRElyDx+EsieZSBD17+UcCCJyPREejNuDzIffJefyOTGErFeATXg+DCC8L6RBuCkql+kOtSe5zwhPRxAq3p088NuZYC5BHAGSGAn2kVOAbvr8rgR5/K4YL8leHABiZDzMawpOhVNy3jJxgIDkOgTxUgpd9Wi66jfoqj8liI0ArCSIewAMJcoDkOFH/ZVdTxCXAMhNkAWzc/ITo8idkP+j3GL2WY2g/nbTV9tCb1KZuYm51GZpss5safK/VvJukiCWAcF+rpJkr71tP0kbQXxLrmYTxJ+ig3F7kPjwu+Rc4vMTu8mNeaLzYS+xeF95g3BPVMj/7IgqNvB1A5vgdAShEriTB/6Vbo/bgCRGwn0UpwER1MyeJzwy7SXdi4qMjYeJTcGpcIrPWy47IOBuMEH0yJFWPYIgNgGwgyDCAZhEhADwgCAKFPTPU6jhdQDyEAvJgvcJguq5XkwQzF/PlFzEL1xTEHpT6kFUCotvk28XlWZKA5B2cNrrVB0E+8mqS10t1v3HfpZ0VA4SxEHRwbg9SHz4XXIupwniEO0kPB8WEN4X0iDcExWwkCBO22ovF50OHyqBO3PgZ9SpSGMk2EcIAwhfM3ue8Mi0l3QvKjI2HmY2BSfDKThvuXhAQGhugpjBVn2NuOo76V18RO2CNEwMD48DfL3uEBS9YAVBMA+eSGK/4JqC0JtuJp8S+WsMuCkoDfaE5B93gaqDcD/RU6qTYSlrE0XlOJErQnQwCCCUD79LzuU8QayjnYTnwwAi8IU1CLdEhbwcIMaeDUwWnQ4fKoE7c2CmbUpixO+DBURQM3ue8MiMl2QvKjI2HmY2BSfDKThvuQSAUCwSuciqxxDU0U7Cq24rQHTnCjNnlZmH6EGuviHIe2BK2XmJV8nVZqopCL0pZfQaAsSlUwLIOGfRfwX5/aRsJlvUQILgXpNgorKa6CQ+GAQQyoffJecSRxADaCfh+dCACH0lcl9UAGhHFBk8RhQNQagE7gJApDGy74Nt+qKacXnCIzNe0r0oy9h4mNkUnAynY0CGvMuUHE7Wnaw6eXHX6Hl8O/pqnrnoJf8IhVG7KA6ov1W5yes2QBGYm/iaKteBKJgBwGCiHUt5W4KYFfVvTYK4LvKm9DUx0t7jy5QmrzE3g9sE8ZNwP2GvkDkXiHL2syRGkteOTUPuiQ/GHl/qI9gl59KMyL2P9hKcTxAxW3R4qdwXFQDWkce4LI6GIFS8O3PgaOoPojRG9n1QdxeTJDWz5wmOTHvJ9qIsg+NhYlNwMpzC85aJBqRdJ2Yj4w2C2E+u+xHEi/lm0n3e/xHEj/RtzDlqFy/mkHeIgUSuNz7qUd8GEpiOQnAtgHj36X6/ItxjqVMvkOdX6lP6Tx/vzQSZ/N8nT568pYancKXjXyTKDW9CX3/w+7lCzLwfOYg6eS4qRMc5zerdEh+MO77UR7BLzuXEi0Tuzh+2DBOcT3ouqqtQ4CuV+6JC3vz6EQ2BOBqCUPHu5IF/oAFZIouRfR8g5wViqKRm9jx+V4yXbC/KMjgeJjYFZ8IpOW+ZSEBOkbdB9ZiboLjqxO/kKrp/cMntRwnCf8rSIgSRf96UAgRReBG5C6LsCfImZ0CVfBXG3QFbS5LHrEm9rnC/fyW/eqP4RwnHWwS1erSRIAot4r0ZnalIMPrUXnpVycIfk/dbL34j2E/EsIr5i7U5yJ8lUaty8clMp6jdiT++1Me+S97lvy5lC9Qj25b9fPaWJojcr4kOL5I7owKofs1FQHTqglDx7vSBh1CA5BshjZF9H4fKkmfQWFIzbv/2XbFe8r0oyPB4mNgUnAqn5LylknwPknrR1BcHbFsb/Pk4M+lkRaKfU+WYC0/9Pi7K5KhA5Wqo3CEj4mFmUzDwcG7+onAP+y7PeGKeU+U8DIgn5GqorCIzm4KBh3MzICsIupsl8yU/p16jsxHEYiN8rCQXQ2UZmdgUDDycuwF5WjLXrKtPDrUtsMupYrEEMcsIHyvJxVBZRiY2BQMP5/ZBG8LGVC5QrNmUSKcKbSbvp19ooN5Tr8XHWnIpVBaSaU3BwMMBPKoJFpaqMCBYWCrCgGBhqQgDgoWlIgwIFpaKMCBYWCrCgGBhqQgDgoWlIgwIFpaKMCBYWCrCgGBhqQgDgoWlIgwIFpaKMCBYWCrCgGBhqQgDgoWlIgwIFpaKMCBYWCrCgGBhqQgDgoWlIgwIFpaKMCBYWCrCgGBhqQgDgoWlIgwIFpaKMCBYWCrCgGBhqcgMQD676Jz/gDSn3CNGO7d7t2vLJpj1wQdQ57dTYNbFx2DWM/Nh1gz4jBcf34Ga3S1bb9i8TawufKZSctFxlcx+Gcp5V9WGt/7hL5VMiMwApMN25/wDnJuO5WI153bvds2aAbOefAnqXOgJzDpwJcy6vifMGpsfuuNmf0PN7lYOofLf37aOKiUH/KKSmS9OOe/31ioFhy9VyYQIA2K8MCACYUDkwoDArBgQuTAgmoQBkQkDggHhhQGRCQOCAeGFAZEJA4IB4YUBkQkD4quA3CwaHOwfGKxFebhEQCFN/pyCApxyD37N4Co61GB/6GlDrQqV94fWMQC6i0LwePgHiYrmJxd+Xd0ZhtfYI0PPjlEgPCZqMeDqo9JmtOz1xVCNtTAakBO17t07d+2eBl3NfYdNnbmj6ijVrX+dcj9UyuAqOtTo8bDzuAk/7TO3Ydbz/8GsV8/DrHfOQHf8703h1hvzyEXPd9wZhlKH6COfvgs9PVrXzinnKcSAlVqbuXFWpeCFK9TyQJ6jGmthOCANyL/5mp6MPwrmUhEqz1ohynzmlPsPbgdkzGyYNSMa6hyZDbPGP4dZU6HXFTkR0B1HC581x/hTRefBH+abpFLMo/ynNmWXtFiV8vAYsFJrM+kxKgUT6DcXTpc+oeIjlOcAuVKJS5kKSHSBkk7t3QB5ISArO1FLDAgHCGjg/YAcacSlTAVk1ev4LwgAbdeRi+1fYEAsBMjOdlzKVEC6zsOAgMiAJPKaNuAzDAgDyMM0CwCyyv4SqpmApAaewoCAH6j+4UX98SUWC8jLf1sAkG9GcSkzAclYdwcDAlpsIRevbMeAMIBcL5JpAUBm2h+nmduLhQEB9wPJ3T31T8GAMIB8NsIK9yCjF3IpDIhMxgLyzQBql9txLxZgAKkTagVA+tnfJDARkDsHMSAANN7FrDEgNCC2sZlWAOTNHVzKREAmzMSAgDuF2SQGxErdvI0OcynzALGVPocBAV8OIxdnz2JAKFkHkMqXuZR5gJwrZ8OAgHr7yUX7NRgQSgkp8eR/FVYAJPgRlzIPkM/G4Zt0cK14FgDP/OIxIJQSUmaPBVYAJCe3fbwb8wA5fhsDAuZQD5xWUl9emAZIRrYtWzYOj7cCUpl6kdf7AYnLZ0/ibl6ZjASk+mFy0XkFMBqQ5JHFCg9KopOBBEHUl+Z7KSAnS1NFvR+QuyXsSQyITAYCcpFuEAeoHRoLyNbZSedKTaGTQ6Ojo2Xn5qWATKWusLwKENvaBkVqfZMpcTxb0540DZBvqRB7ISBn3yxR4d1IJm06INN4KowFZD/5k87oRifHw/K9FJBNt6mVNwGyqNofUceajpM4HmhuT5oFyDO/ZOCNgFwuvPTRjZG1UukNswGxlTtlNxl/D9J7Eb1q2Ta46XlpnpcC4nXdvHFBVKBiQ66IHTd3tifNAmQFfQjvA+SNn6hltwX0htmAnKlANtDUr+m04YCEtUun199kpw6owIHwQx9Gwf/EUXoap6yYSJXMqGiVzIhYV/f6jF5V68Sc5PB0B1U0H5AjjelVP8kYFT8NtifNAqQTPTSI9wHCjOKyjhmixGxAJlJ3CVtfp9NGA5LcnT90GMH9NTi8nFGRS88pPU15rqiEZ8p5z2PiVTIjVPaaGKVS8Jc4elV9GnOSG6HhF8h8QE7VolddNogdBV+3mQRIuv9TauV9gBQOp5Y/D6A3TAYkuyR16dPrR9pkMCCZ4+8zCaor61k5abZXXmJdDkmm1150iZUe8gd1YoUeix0/+tSeNAmQnJ30yvsAGUj1o6TWWUdvmAzIEWoQsZQAxsVYQLLHno6Ojs4EG2Jmk9f1S/ZK870SkOmjvO4eBBwoNHHj7MLSUcCGf29PotbN+6xitzVLa/VhGo7JgIz+hFzseoUxGQvIBILS6fTyB053nThPPoyONwJiq7Tf+wABdz/sMPqC1LH7ensSNUBAyoJub29i2425gGQVu0Ed4wZjwq+aXCwV54WAQNXqD3vSHEBubWPWXgiIUOYCcqCu0IQBebLf+7p5FVT3tD1pDiAfzmTWSAMy/AuhCQPijc9BFFTmpj1pCiC20uyTK5QBSQ++S6YWXmVNGBALAeLHN3NTADlbjv1hUAZkDzU4X1pgOGtCHpDfblgGkPRcWfa0KYDMHcMmUAbkbWpgjN9f5kyoA2KrcNoygEQECtJmAHKLe+6CMCCpQQ/JxNAvORPqgJysYp1LrGvl+TRy3bxCmQnINvqF0OLXOBPqgHwwzTqAnBDMt4QBkckYQHrTD2Mv2U2oA1L+rHUA2SOYJssMQL6I51LoApLoL8lBHZAjwDqArO3Fp00AJMYvkUuiC8gG6Vx9qANCySqAfDuCT5sAyKpO9iS6gHRZTq4ufsKbMCDWAWT2FD5tAiBd+XcjkQUkwo9qKKMFJ4M2IHfo79SsAsi4+XzaeECyAiPtaWQBWd6BXGYLv+REG5BJH1NLqwDy9nI+bcJfkEN8EllA2q4ll8drCExIA5JDfzpmGUA6bOPTuJtXJgMAuR5A9VPMmiEwIQ3Isar0yiqANPuLT2NAZDIAkK+6UssE4YCHSAPy8TR6ZRVAqgm+oDIckEtLBBuoAvLKepkJaUDCmI5/qwBSLJxPGw7IuJmCDUQBeRwYL7MhDQgriwBiy5vIbxgNiK30v4ItRAFZ3J26uOosaoEYEMsAkphXEDajATlXRvibIApI07UkIP+UE7VOhAHJ7svejFkEkPCigg2jAVnwvnALTUDCCj0hW8SUD0VGhAH5qxabsAggF6oJNowG5HGUcAtNQOYPic4AtoriZoAwICO5YdgsAshfTQUbuJtXJt2AvPQnCciDsuLIogtIVlFuCASLALKtg2ADAyKTXkCuF8mkPrmV/BDoAnLGPvyRRQBZPlCwYTAg05+KNpEE5NORwnnSOaELSI49chYBZIFwuhBjAXkWkCLaRhKQGn9jQOCyCCBThW3IWEBWdRZvowjI5VI5JCA/ficxY0AsA8iIbwUbxgLSZaV4G0VAZoynPpiqu09iRhaQuX/akxYBpPdawYahgNgCxbcgKAJiq0T+/NFXCkvnhUQVEL4PyzKAtN4j2DD2L8g9ybaxgOR8Vq14fzLGFz/7smu4fSWWxwH5pzzZKKM/Gya1owqIcAhviwDS4Lhgw0rdvBenZ8TUWABSm2SBVW25lUQeB4T+di660wGpHVVA3p3Lpy0CSPlrgg0rAXI+FYDxP4CN5P/OT4gkdiXx8TQgOWXOAoB7sXhV46+wrAJIkPBGwUhALsoap+H3IImDE8HsyeSVfu7b7Eri4GlAmG/nMCD8YQRpawCSmUs4+66RgEyYLrUYDEjOB727HQejqS9Zg66xKzZrdzCjTlMjIYqIgFkVzM5YI59Ktod9CLOSmlqfPcPdhoZEQd4DiFDWAOSZn3DLQEBs5f+VmozvxVqXP3naBHKdL4ZdsfZsdiru9z/JgSgtGmbNicyEWeNSYNbnsTBrVoR4O6PYJXL5qGa6zHPuKPYMHc19bIgwIDBpA+RmaeGWgYBcLCv7OYwFhLpOCidif+oOQFKJHHYl8fHwJVZobWr5bS98icXocF/hljUAOS2aOs9AQBaPlpmMBWR8JAArJ4OIkCSwYxq3ksjDgLz3ObVsvgYDwmjQV8ItawDyRyvhloGAJCXLTMYCsufN6T9SIxZtH7JkdoZ9JZZnAcmgp117HPgQA8IcI+iBcNMagGzoLtyyUjevFnkWkL0NqeWBYbgXi9GupqJMawDy/XDhFgZEJh2AcFcUGBBGX/wkyrQGIJ99JNwyDpAhd+Q2xABhpl0DGBAFWQOQD0XTdxsGSKSf/BYENUB+e4VaJudgQOCyBiCDRX/2DANkVQeIETFA+tKjSnbcgwFhJH2j2RqAdNkk3DIMkK4/Q4xoAZIcQG0980vAgDDpMpI35awBSHPRi6aGAVL4McSIFiC/vk4tf+mA70EY7WwqybQGILVEL4QYBgi0CaIFSLdl1LLDLxgQRgO/kWRaA5ASd4VbuJtXJlcBifWjj9LmGQaElr1Pzy5rAPKiKDAYEJlcBWR1e3sSA0LqVm9ppiUAScktqp5BgJwdAzUjBUj71fYkBgQqSwDyKFi0aRAgH86EmlECJMqfmhTERhswIFBZApDLlUWbxgAC+RSEFkqALKOnXdtKTxKPAQEgUb4LSwBypJFo0xhALpSB/xIoAfL6RmrZ80dqiQEBYMAvskxLALLjTdGmMYD8IP8UhBZCgDwOpH79lAB6kngMCPvUVCxLALKqn2jTGECypC8VsEIIkCX0t3PbW9IbGBD2qalYlgBkofg/e9zNK5NrgLzyG7VcTy8xIAB0/0meaQlAZswQbWJAZHIJkPBCwsBjQMCoKHmmJQAZvVC0aQgg/S4ruKMDyFeDhGYMCFSWAKTfKtGmEYBE+0vHN+SEDiAN91LLO2w0MSBQWQKQN3eINo0AZC3sUxBayAByqwjVTZER/IjZRB4QG+TzUosA0uiIaNMIQHqsUHJHBpDP36OWe15mzcgDsrUdLNMSgFQS3y8YAUjZpxAjLWQAqRFKLYfMY83IAwLrw7IIINxVACvciyWTC4BcCaH2lFGIG0obdUAS/KHtxAqA5OQWT7OJAZHJBUBmjqWWCR9zZtQBWd8GmmkFQGLzibcxIDI5D4it8jGxGXVAdkhnaGRkBUDulhBv6wfkdFdld0QAOVte0hBRB0RBVgDk31ribf2AfCAbQJoXIoB8PIlaxvAzNGJAoLICIAeai7d1A2Irf1rZHQ1AbGX/odLjP7GbEQfkcBY80wqAbOoi3tYNyMWSKntAA5ATVahkdshFuxltQBL8obGyBiA/DRZv6wZktcKnILTQAGQ8PfXc0aq8GW1AoINsUrICIF98KN7GvVgyOQtIdolLVPKDybwZbUDar1HItAIgH30m3saAyOQsIH8z/R4r+Ht0tAGJ81fasxUAGf69eBsDIpOzgIz8VGZGGxD5x+isrABI9w3ibb2AdDqp5o4CIBnBN2VmpAFRlhUAafmHeFsnINH+kFlBeKEAyJ8v0SnRs2MMCFRWAKSu5KmFTkCUPwWhhQIgQ+ZTiYtlhWaUAbl6TTHTCoCUllwP6ASkG2xWEF4IAJIaFEYlpk8UmlEGpOMqxUwrAOInaeE6AWkCmxWEFwKAsJNgVDouNJsOSPLIYoUHMR86X/zsy67h0nzPAXKbHoEVLgsAkpZL8hYA7sWSyTlA+i+m1v8VF+3KdEC2zk46V2oKfV5NssCqttJ8zwHybWflTAsA8jRIYsCAyOQUIHcD6c8pw7eJzKYDsj8TgBndqNTGYQA8IaSjZngOkDZrlDMtAMi18hKDPkAUBlS0y/cBWdYSZnbLPUjvRdRy9mQAbLm5TxlvhzIqejWd0tO0dEUlRSvnpccmqmRGpCrnJa+IVdlrAr2qtYQ5SYeceACQ4w0kBl2AnH7DgbvvA/LWjzCzOwAJa5dOrUZTAwEGcT1HU15mFHw6mtLTaGU9i1DJjIxSyXz6zNW9RtKr6k2Yk3wj1UEVPQDIntYSgy5AJk514O7zgMQxH1//fVtsdgMgyd2Zr32nTSAX+aRPH/BzEJg0ALJWOi2WLkAqnHHg7vOArGlFr+rtF5vNByRz/H0m8VN3AJJKSH9FTwGS8J3FAfl2hMSgB5ArCrOC8PJ5QN6i7wNuFJbcjJkOSPZY6hoqE2yIiQhJAjtkH3V6CpBlXS0OyGzpRZEeQHZOd+Tu64DEBNyiVl8OldhNB2QCQel0evkDYPuQJbNlh/MUIC3XWxyQcQskBtzNK5MTgCzvTN8INNklsaP6JP1xYJzFARm4XGLAgMjkBCCt19OAbJDygCogy3pa/Sa9wzaJQQcgyY7uQHwekCf+CfJ5xiihCkj4fasD0vQviUEHIO0OOHT3cUC+752DARHL6oBUuyAxuA5IdIFEh+4+DkjzbRQgMfI3mjEgUFkAkKL3JQbXAVnb3rG7bwNyv2AaBQgzfadIiAIyL8bqgNjySv/Xdx2QHtAR7sXybUAWvk1/k/7qb7IcNAGJCEi2OiCJeaURcx2Qjo9U/Fj5NiCN9lCAPAmUv1KEJiDf9bX8JVZ4MakFd/PKpBWQ24UzKUCW95I7owlI822WB+RCNakFAyKTVkC+GE5/k35XelsHEAUkOiDF8oD81UxqcRmQBC3uPg1I3QOCWW7FQhKQ7P+A5QHZKhuExFVATjXW4m4OIBnZtmx5C2TkPkCuUl/ZYkAksjggy9+WWlwFZJLKrCC8jAWEG6kgkCCI+gqjFbgPkE+oUbtzIr6GIYIBgcr7AZk/TmpxFZAKKrOC8DIWEG6kgqHR0dFxCqMVuA+QytR82jk3/GDtDEVAttBjdlockCmy5uMiIJfUZgXhZSwg3EgF4+kt+GgFbgPkfGkqAjnfdIQ5owhI493U0uKAjPhWanERkEOfa3I3/h6EGqmgZdvgpucloxVwchsgU+h5JHJeXw1zRhCQO4XoT+QtDkivtVKLxbp56ZEKvslOHVDBJh6tILRyJVqdpkRBFBkBs0ZFRGq3SnYRWepPahVe4AbM+ancNLk+c4KVQw0OCVTuB2T+EHplcUBa75FarAUIN1IBCCNixaMVJJ1jNHRGJkTPn8GsmZHpMGtsEsyaHCPaPFYhg1ql/Q3d8bPnMtMnA9kzlF4UmiL3A/L6XnplcUBekp2aa4DEKPWySmQwIMxIBVQLe1ZOYbQCd11isXP74m5eTiwYFgekvGzkbdcAeXO3NndjAWFHKphNhnnJXgAfrcBNgGSXYGbsxIBIZHFAAmW/p0uAxPppeo5uNCDsSAWnu06cd5TchI5W4CZADtekV8dXYEDEsjYgmbnSpSaXAFn/pkZ3n33VZNQcetXzewwIrUfcNzHWBuSZn8zkEiC9l2l091VAMoveoFbJAU8wILTYPiyrA3KzjMzkEiDjnmp091VA9tejV1tew/cgjBpyM/tZG5BTdWUma3XzOpZ7ABn2Jb0auhgDQuu2fWhJawPyRyuZCQMik2NA0oOZOdGfZGBAaK14l0tZG5D13WUmFwCxyac9VpKPArLL/q4/BoRWtn1sYmsD8v1wmckFQI7X1+zuo4AM+IZLYUAksjYgn34sM7kAyMQpmt19E5CUAHq8isyeORgQqawNyAdfykwuAFLhpGZ33wRky2v06o9G+C8Ioxb8Rbe1ARksH8rKeUCuyN5/UpZvAtJzKb0aNh8DQuuqYIpfawPSebPM5Dwg/3yl3d0nAUkIoLvyMoJvY0BozRnFp60NSHP5cNO4m1cmR4CsY77zPUM9VMKAkKp+iE9bG5CaZ2UmDIhMjgDptJJe5VAGDAjZ7Otm8RvWBqTEXZnJaUDuqEVAKl8EJMZf0OGLAZHIM4A4nqmGlkNAXpSPL+s0IO23O+Hui4Cs7CSwYkAk8gQgsQsrUn/D2GGgxCuRHAGSklteM2cBueWv8VMQWr4ISNt19Kn/K38AACAASURBVOqTrdQSAwJysoRbHgAkvMsugjwHdhgo8UosR4A8DJbbnAXkR62fgtDyQUAiA+iPyrNDrlArDAhYMEu45ZFLrEcUIOwwUOKV2M8RIJcry23OAtLpR2fcfRCQH3rSq6PV6RUGRNSH5UlA2GGgxCvW4XgorSW10tOjk9IVdfBluS0iTdkfopSPHjjjfrUoc2ah0uGrTJPpgLTYQq8m4EEbGF0WDyHoOUDYYaDEKyY/9a22tBpVio2NjI5V1Lo35Lanyu4wRUc45X4mmDmzttBma4bMBuR+IJPbkOkxx4DMGivK8xwg7DBQ4pXYz9El1i/95Tb8HEQmVUAWDWA22TBjQEb8I8rzHCDsMFDildjPESALR8ttzgFiO4k6IE12iawYEIk8AsgDgow3OwyUeCWWI0BmzJTbnAPkVA3EAWFHoLULAyKRJwDZPZyYeMQ+DJR4JZIjQEZ9I7c5B8jHkxAHZN5QeuNKa9aKPCDS+lv6VZN+q+Q25wCpchRxQOrvozemTmStqANyUTrppaUBabdTbnMKkGsl09EG5Fpx5rFxFe4nRh2QKRMleZYGpNERuc0pQG6tRrwXa877dPpyaS5qiANiKyedaMzSgFS6Irfhbl6ZVABhnxqvmc5ZEQfkTAXpASwNSPAjuQ0DIpMyIBdLS6OFOCB/yb7htjIg2bkhtXYGkKuPEAdkmqyRIw6IXFYGJDYfxOgMIO02oQ2IreIpOpnJWzEgElkZkDslIEYnAKFmBUEaEO6Ku+lFuxVtQMIyZXmmA7JfY1mYHADyby2I0QlA1rd17z2IS6EwExB2xLzrRfh24SZAnA6FewCpfF6WZwog0XfsutpVY1mYFAHJOrH9HxvY/xokywlA+i4xHxDdoTARkOySTHuYKxjA1URAdIXCLYDI+7BMAuRTQiCNZWFSAuRq7ZrdKzZ/vKkLpIwTgHwXYT4gukNhIiBH2afG9f/grSYCoisUbgHkI/lItuYAcqjTAfa7otDfW2osC5MCIGk1vraBrAmtfhwCKeNl3by6Q2EiIGM+oROZrwjeVzQREF2hcAcgtrL/yvNMAeS5YM7YjRrLwqQAyJ+NqGVWyQkfQsp4GSC6Q2EeIM+K3ZBbTQREVyjcAUjGeMjeTb9JX6yxLEwKgKxivpNq3vszSBnNgNjoUTzceZPuUijMA2RHHYjVTTfpTofCB7t5Exf2b9umzeuQgUc0SwGQ0HpUmNKK9loKKaMZkDP0KAVuAURPKMwD5J259NqWLLSaDYirofBBQHrl71H//bdr9VVy1iAFQLKazMgCqUN7dN8AKaMZkI/pPk63AKInFKYBEl+IGZbypxFCq9mAuBoKNwASdRmWZx4gQSfBaAC+eqixLExKvVhhr5RuVaxXdMs/IWU0A1KZnhXELYDoCYVpgGx/iVk33yq0mg2Iq6FwAyAfzIDlmQdIFQBGpoCItzSWhUnxOYjt2uGnANSVvppMSSsg14vRjcktgOgJhWmA9Gfu4B4HinLNBsTVUJgPSHaJS7A88wAZ8Rj8+nHiMj+NZWFy8CS99C2IUSsgj36lV24BRE8ozAIkNeg/ev19L5HZbEBcDYX5gByuCc0zD5DwduGZ9QgC9jBPqxwAUgDWuL2sm5eWnlCYBci2V5hRTRbsE5nNBsTVUJgPyDjICCDA7G7ehF/WqJ2YI6kDkpYrC2L1RkAouRoKswDpvUg+Mj5wTzevK6EwH5BfIR8XATMBuXJPHlQnpQ7I0yCYVSMgF9jLM7cAoicUJgGS6B/uEUBcDYUPdvMG1YjSWExR6oBcrQCzagSkPXML4qZeLB2hMAmQDa2ZUU2eSOym92K5GAofBGQQM4r8DxrLwqQOyPEGMKs2QGK5WUHcAoieUJgESJflNCDxQeJx40wHxNVQmA1IzjaFPPMAuT7gp+t37lztrLEsTOqA7G4Ds2oDZB03K4hbANETCnMAifWLpgFZ1UmSYTYgrobCbECOScfD4mQeIBXMe92d0dreMKs2QPpyb6m4BRA9oTAHkFUdmFFNOq6WZJgNiKuhMBuQ0UrD9Zv4HGTq/tDQ0L2tNJaFSR2QxSNhVm2A7OSq7Z7nIDpCYQ4gb66lAYn1k/78pj8HcTEUJgOSVeyqQp55gHz9mFqmwd6X0ip1QD6ZCrN6YzevnlCYAkhkQCINSJjsCyGzAXE1FCYDcriGUp55gITQy4PjNZaFSR2QcQtgVm8ERE8oTAGEmmwi1SPdvK6GwmRA7h1WyjMHkMxLT54XTyOVss5fY1mY1AEZuAJm1QJIznJ70nRA9IbCFEBabfIEIHpC4WPdvGkh9o+PX9VYFiZ1QN6C9sxpAeQUP/mn6YDoDYUZgNAvKJKAPH4q8zUTEAeh4Np+RrYtW3Y4HwMEHN24rep6SjuTVPwdSR2Qpn/DrFoA+XiyPWn+JZbOUJgByLf9AA1Iz+UyX1MvsdRCEbuwIvvmUCAJUH1ptrmAbLivmGfePchuJS/tUgek6gWYVQsgVU7ak265B9ETCjMAabYDUIAkB0TKfM2+B1EKRXiXXQQLyNDo6GjZ5Z+pgDwqel0xz9yXFXctvqexKFTqgBSFYq8BkFshfDty28uKrobCBEDC6GnXUuO2QsYVc8fLivBQPOIAgd7AmwrIxpeU88wDZOTb4fuJatWh3zFqlCogtjyJMLMGQGIE/425BRA9oTABkPmDqWVqXL9v5b5mA6IcCjsgLdsGN5WNcGgqIP2+VM4zD5D22WBwhay49zWWhUkVkIQXoMHyxm5epVAkjyxWeBB5OX7xsy+7httXYpkAyEv0QHGpcXPk9+imA6LcKuyAfJOdOsA+xOHYSowKn4qi9DRKWZERKpkRkSp5hU6qlNRwyJp1mZOsneqg9iJA3ge2sh8BMMqVMLJSBSS8GNTsjYAohWLr7KRzpaaA1CZZYFVbbiWR8YCwQ/F65jmIcquwA0IqjOD+Gjw5x6j4jUxKTzMyFZUSo5yXGZukkrkjXWWv0SoF4xLpVZ1VzEnedlR7ESDvZJ8k/gKgqSthZKUKyPnqULNjQA6fFGy4BRClUOwnW+qMbmDjMLIhEEnsSuJjPCCfMsOYeAYQ5VbBAUIF4Fk5aa6vdfOS2lw5qH5G2M+wAaa1ShWQv5pBzY4BabdOsOEWQNRC0XsRmD2ZvKPKfZtdSfKNB6TGX/QqeRfM12xAlEPxgKCOsSFmNtnoluyV5vogIODK9jhw4sc9GsvCpArI1o5Qs0NAqFlBeLmnF0s5FGHt0sFoaryZoGvsis042pZR18mxEEVHwqyxETEwa9Qz4daxEtH0elM9mG/MU607/qgxe4ZHDQnF7uHExCMgvfyB010nzpPv0kRArqzyECA5v3/6vZ4+LAeALH8banYIyHrRZb57AFEMRXJ38n/saRPIVL4YdsXmPNvKaOC0NIiSo2DWtIjnMGtMgnBryhhm/fYsmG9qBHTHUcky0/QuzAnuUGtBToRCXSYCMvwLzwCS8jpBELmmqdTIoVQBmQ9/4c0hIAOXCLfcAohiKDLHU89yqFcHk0rksCuJi9GXWLZKzK+ZUQj6nNXsSyxXW4V5gKQXCvMMIFOqrn+ccXvsViVnDVIFZAr8ExeHgBwS3Zy6BRClUGSPPR0dHZ0ZEZIEdkwD7EoiowH5tzzTxv6u7ZGbdFdbhXmA7GnkoXuQlvR7DDb4aEPapArIe5DHXMA7u3mVQjGBfnHvNNg+ZMlssgWyK7GMBoSbJOb8Ho8A4mqrMA+QEfM9BMhoZmXac5Be/4OavREQPaEwGJCcMmfZlGe6eV0NhXmA3H7uIUCY2UjCXtZYFiZVQN6A9485AMQ2T7ztFkD0hMJgQI5X5VKeAcTVUPhgN++KwWceXVhcEjYLlFapAvIS/KwcAHKmsnjbLYDoCYXBgHADbP4V4xlAXA2FDwJim5SLvMB+K0VjWZhUASkHf0XZASCTJ4u33QKInlAYC0hWsSv0OqfURc8A4moozAIkjZqpxEPPQcDt9ctO6enlVQckEP5TOgCkiqQubnrd3fVQGAtIaG1mfaS6hy6xXA2FWYBsp75t9BQgtKCf/WmUGiCZueCDvKoDcqeopAm5c45Cl0JhLCDvsdM6jpvuMUBoOR0KswChX/n3FCCJERER96Gju2mUGiBRCt/9qwOSKp1zx02AuB4KQwHJCGamXbOV+ddjgLgWCpMASQmkXvn3DCDnazPf5zvX7SqSGiA3y8Dt3tjNqycUhgKytyGztq22eQgQV0NhEiAH6LcmPQNIg+pLd+wkZTggx98IqTQm9lQ9eBlvBERPKAwFZNBXvNUzgLgaCpMAyaJfXPUMIPnvaCylLCggp4qsfHL17ca7W8HLqAISuk9qcQsgekJhJCCpBR/wVs8A4moofLCbtz3zMpxzL0OLBQXkZWrYStsbw3rAy6gC0mGN1OKeT251hMJIQH57hVk/pT4F8QwgrobCBwF5NjwsPj4+sp/GsjDBAMnKTRuWNh0OL6NW2Xg/WQzdAoieUBgJSF/2ReaZY4GnAHE1FOYAMoUB1TOAXK9uyvQHOS/SZ/xVI9m4y4zUKrtJPqOIe+YH0REKAwFJDmBHaahEtQvPAOJqKEwBhOnD8hQgzat+u3Xbtg2Gf5PeeTq5SKzURWGoFrXKDvlOZnILIHpCYSAgv77OrC+WpGLkGUBcDYUpgGxpwaw9A4gf83X1Ko1lYYIC8qh03/8tqfLuoJ/gZdQqe10+4qVbANETCgMB6baMWc+hB93xDCCuhsIUQHp/z6w9A0i7S/QK+t2aRsG7eRM+7zJoB+i8GV7GG7t59YTCOEBi/dhC5x5SS88A4mooTAGk5GNm7RlAwoc9TE5OjhmosSxMag8KXz0It3sjIHpCYRwga9qLrJ4BxNVQmAII17Q8A0hpc+corHkWbleubM57kCy3AKInFMYB8pZ4PkLPAOJqKHywm3fQyA2bNm1a21hjWZjUAAlRGAtaubInqkKM7pkGWkcoNAKSczsMqAMS5RfPbC5k2opnAHE1FD4IyB/h9GqlxrIwqQHyIvT3Vavs5EkQo1sA0RMKbYBsL120UPVDqoD83JXZuluYHnnUQ4C4GgoTANn9Hpfy6Ovuv2ksC5MKICm5FSqlXNkqsMe37nzd3aVQaALkcPFQADYXuaYGyBsbma157BNWj77u7nQoTACki336IE8CcrqixrIwqQDysLBCGcXK3i+cBbG6ERDXQqEJkNbrqeWXQ1QAeRzIfsXX8A9m7UlAnA+F8YDE+dlj6DFAMre0MOsm/XJlqFmlsplXoFY3AeJyKDQBUu4GtQx9VQWQJX2YjYdB6UzCY4C4FArjAVn7pj3pIUAezy5BlJ9k0iSeh5Vu87yxm1dPKDQB0pAej3pNdxVAXtnObKRzn4x5CBAXQ2E8IJM32pOeAMR2qFeeF8scyQHytzu0SwWQ396Emr0REH2h0ATI903JX+pZpV3KgIQXksbRE4C4Hgof68VKXFqTKD03qpvGckpSAeSX/gpllCq7dyPUbDogekOhCZCcwWWHDCo+VaUX66t3pFb3A6InFD4GSCWiybZMAEwE5OvRCmWUKtt+PdRsOiB6Q6HxOcjln1bcUXsO0vB3Jr1rJ2d1PyB6QmE4IJmCtPsBydjSZcItUwGZrjS6q0Jl4/zjoXbTAdEbCmOepN8qwjaIV+wdrO4HRE8ojAYkMUTQp+mRm/RL7/Xa14VcmzRw3KhvFMooVHaj/FMQWu64SdcVCmMA+Zx9KPYwwN5QPHKT7nIojAZkrfAe1kO9WNHzay64DyZoLAuTCiB9V0PNipV9Fz4WvJt6sXSEwhhAaoQyyaW97FYP9WK5GAqjAen4i2DDY89Bsra3rBessSxMKoC02wk1K1b2idL4c256DuJyKAwB5L8QNqMDPz+jx56DuBQKgwGJ9RfW3pNP0s/K5it1QiqAvKz02b/3dfNyci0UhgAyayybvMpfeXvySbrzoTAYkHPDhFsefRfrZ41lYVIBpBL0uTjwZkBcC4URgKRUPia3evRdLKdD4WPdvAZJBZBCjxXKQCtr6wMfyNe9gLgkIwA5UQYSFI8C4rQwIDApA5KdW6nC0MqerqR0CCQA+ZB90T9usMCKMiBx6aJMHwQkNr9SGWhlp01UckcBkLgy/zCJXzoJrCgD0nGbKNMHAblTUqkMtLI1INfgjFAAZD/35rNoYEmEAYkKEA9v41FAFmssC5MyIP/UUioDq+xT6awgvNwJiEuhMACQkewYe+K3CTwKiNOhMBSQZZKH+Z4BJHFh/7Zt2rxuznOQ/a8plYFV1hapeAi3AKInFPoByS5+hknsFA1r4hlAXA2FoYC8IXlx1TOA9Mrfo/77b9fqq7EsTMqA/NpFqYw3dvPqCYV+QP6uzjaONNGFhWcAcTUUhgIyLFGc6RlAgk5Sk2J/9VBjWZiUAflxiFIZbwRETyj0AzJyGrTHzzOAuBoKH+zmrUL+NCkg4i2NZWFSBmSuYrcUpLJblygfwi2A6AmFbkAyi/7rRYC4GgofBGTEY/Drx4nL/DSWhUkZkEmfK5WBVPbNtcqHcAsgekKhG5A/X2IbxyTx/IyeAcTVUBgISPZtaaaHhh5tF55ZjyAUbxY0SBmQYUuVysgrG19AJXLuGXpURyh0AzJkPtM4kgPEbd9DQ4+6GAoDAVkh+xjVc928Cb+sUfvT5kjKgHSDf0ALYJXd9LrKIdzWzetqKPQCkhYUxjSOzZKOP89187oSCgMBeWOrNNOjz0H2aywLkzIgLf9UKiOv7OhFKodw53MQl0KhF5CdTdnG0UdyJ+bR5yBOh8I4QJ4Eyuj0ACD3Emx3aF3tqrEsTMqA1DmjVEZe2YRMmB8r8wHRGQq9gPRfzDaO0vfFGR4AREcojAPkh16yTA8AEvJeTlEzR3cvfUupjNd18+oMhU5AkgOfso3DC4b90REK4wDZIP+SyAOAHAkD/ebsDw0N3dtSY1mYlAEpAG8gwAsB0RkKnYBsbqnUxekBQHSEwge7eQ8yv6Hi3bQGKQKSlgs2zi4taWVtbZLVDuGWexA9odAJSI8fvQgQ4HoofBCQya2owS5PbtJYFiZFQJ4EKZaRVvYMbFYQXm4BRE8o9AGSEPCMaRzH35X6egYQV0NhGCB/QfbgGUCKHKGWiY00loVJEZCrFRTLSCs7DTYrCC+3AKInFPoA+V87wDSOoV9IfT0DiKuhMAqQJwGQ9uQZQCrTdclUmqZAixQBOdZAsYy0slWVRndg5BZA9IRCHyD06DZk48goJOvV8AwgrobCKEAWD4BkegaQvvQpbVf82FWDFAHZrTAMHJBVNqaY4t0KLbcAoicUugCJCaC+ACEbx756Ml/PAOJqKIwCpNkOSKZnADnTPwok/1LQlIHj1vRRLCOtrMJ4WJzcAoieUOgCZHlnakk2jk/ny3w9A4iroTAIkEfyp4TAY0/Sv8oVRBDNEhV8tUgRkMUjFct4XTcvJR2h0AUIM/OUN/ViuRoKgwCJgA5h7qlXTS598clvit+6apEiIJ9MUyzjlYDoCIUeQJ4w3157FSAuhsIHu3lZ7XOuwYqkCMjYrxTLiCu7eY6DQ7jzXSyXQqEHkO+Ztyq8CxBaTofCFwFJ++/48eN/tVSpkiMpAjJwhWIZcWVF43jA5B5AlENBmzKybdlKI9vpAaQ5895qfHIdyEf5HgLExVZhDCDn4G8oeQaQv4sxb92Y8Rfkre2KZUSVTfRXqx4ltwCiGIrYhRWpTrZAMq8+ABc/+7JruNRFByD3CzKxiz9YA+LrGUBcbRXGAPLqbmimZwCp8/LvV/4jZcZfkKZ/K5YRVXbLG44O4RZAlEIR3mUXQQEyNDo6Og6kNskCq9pKy+oAZOHbzDp+zAyIr2cAcbVVGAJIeGH4i92eASTfTY2llKUISNWLimVElZ3kcLJItwCiHIpHNCDj6fTGYeRtNZEk8dABSKM9zDq21HmIr2cAcbVVGALI14PhmZ4B5NV79OqexrIwKQJS5D7EyMgbe7GUQ8EA0rJtcNPzYPZk8pYkt/SDadcBuV2YbdW3GsKalWcAcbVVGAJIs13wTM8A8mAK/WvJXpJzQkqA2PJI/5/l5Y2AKIeCAeSb7NQBFWyjqQuhoGtszoWRjHpMToAoNhJmTYiIF2zMeodNPIuB+cZEwazxEdAdR8bJTB81Z89Q+a+5U6FQlyGAbFDoCfEMIA2CCpUvX75ELo1lYVICJOEF5Th5IyDKoWAAIRVGxE6jHi/n436P8OWM+k15DlFiFMz6PCJZsFF7D5uIjof5JkTDrCkR0B1HJclMkzuwZxhuTCjU5YPdvN3f+Hjq1KkflNVYFiYlQMKKKZcRVNZWy1EflpsAUQ4FDQj15/BZOfBTdzJZQvpbuXyJdbU4y15mhBc9B3G1VfggIL9cpVdK0zVrkRIg56srlxFU9nRFx4dwCyDKoXhAkC1vNhnmJXtBREgS2CF7RcBlQGZzM8l/4k0jK7raKgwAJGqlUqbPje4e+opyGUFlp2n4CT07uvvu4cTEI+B014nzqJfytw9ZMlvWEF0GpPIRNlFxnxcBwsoTo7svGKKU6QlAjtwzcXT3rR2VywgqW/OQ40O4ARB9oXAVkPOl2UBcLBnrNYC4HgoDAKmvONaQ+wFJeH9kjomju//8jnIZvrLJJdXG+2FlOiB6Q+EqIFM+ZBOzRnvLu1h6QqEfkOvKXwa5H5BSg3LMHN19/njlMt7Wi6U3FC4CYivHjcQ76qS3AKInFPoBmT9cMdP9gLzxapKZo7tPmaNcxtsA0RsKFwE5VYFvSt4CiJ5Q6Afk9hPFTPcDYlvRJcXE0d3fU5nPwNsA0RsKFwH5YCpv9RZAHIRC9fUsn+vmffLUxNHde/1PuYy9shtUrsN4ueEmXV8oXAMku+QFNhXhPYCohoJ9sRkovNTsc4CwOzB6dPeU3SsPZoM3flcuY69sR5VZQXj56Ojuh2uyidulvAkQRrBQcC82A4WXmnUDMk3lK1/fGd39VJnXhtV56VF9lRPiKpvorxYvuyw8unvM+Krl3g4Tme2AjOJKffmu9wECoKHg3rqBv9SsF5BzwUpfpAEfGt09ocw68iec3KbcdeUyXGU3q80Kwsu6o7snVZv43/WFISJCOECyit5gLQ3/9CJAVEPBASJ+qfmPBYwKX0im9DQpWVHxz5TzkqcOVsmMUNlrQpRKwehYelV9HHOS3zn61t7s0d23taaWWcX94L8iLQ6QL5ZpOoR1R3efNYhKzO8pNHOA7OeGwbpHfSLkNYCohoIDRPxS87qpjILPJVF6mpikqLgo5byk6jtUMiNU9hqvttfoWHpVbThzkjNV/krRMnt09x+H0quGuVz8cwmRdUd3b7eTStwWnRAHyLAvWcMZajwsrwFENRQcIOKXmjnpvMS6VyRB5bx8ZnT3ffWpmiQG+pGnphQprwMEmDS6e6dfqcQV0QuZLCDphUQfJHkNIEAtFBwg8JeadQKS+Y/39WJduefoD45DSQHJemViOojt0rXsF8EB+UfA48FWVsNbJoyfOwDREwpFQJa+TtV01GihmQVkd2ORszcBohwK+sVmsCEG/lKzD3bzBtWI0lhMUbJerIdtC9XzH/p38cb/gYj+7aDVYiprq6L83FQktwCiJxSKgGS/9fra9f1riXovWUAGfsNuP6Z/QG8CRDEUzIvN6eUPwF9q9kFABs2iVz9oLAsT5EHh4wsxYFOeR2Qqq/ZBWBmmsv9q+BSEllsA0RMK5W7enLX9eywWR4cBJCXgEbvdkv4I25sAcTUU+gBZtcsLAbk+4Kfrd+5c7ayxLEwKT9I/LUiv4C+cMJWdqfXXcwsgekLhwoPCrdyEz4+ZoZq9CRBXQ6EPkGpHvBCQCqZN4jnTjw5TV+gLJ0xlax/WeAi3AKInFC4A0mspu/ldb3rlTYC4GgpdgFwsneOFgIyYSnfotdJYFialvyAh1HBXx4pD2zZd2cxm6rOC8HILIHpC4Twg9LRrtFoyM515EyCuhkIXINMneOM9yPHH9MqESTw/+LBsp7lDCsMHOfLGbl49oXAekHX22YUmMS9seBMgroZCFyANj3sjIKxM+CZ90LLUX2etUGjZ3ggIK5dC4TwgnaQje3sTIKzc+016jFf2Ypn3TXqnzSplqMralMeVk8otgLj1m/QYf2nL9yZAPPhNurI8A4h536S/Cu3fZUVVdtVQzYdwCyBu/SZ9JTeiRRY35KE3AeK5b9JVMj30oNC0b9JrnFUpQ1W2w2rNh3DPg0J3fpPeluvcW9uJTXgTIB74Jv3WEOCVgJj3TXqI2tDHZGUT/RyPqMjJLYCY9E26bWP9FyovEDZdEpDIAO76ssMvbMKbAPHAN+nTPgJeCYh536S/GK9ShqzslhbaD+Gebl5zvklfUudY7JW3hEP6k4D8wL3/Hmv/b8KbAHE1FK4DYqt4BngdINSTKtO+SU/Oo9ZRRVZ2qfIEbTKZDojeUCgDkhhA/SV9Xv40byYBabGFTfO9vd4CiJ5QuA7I2fJUGS8DxO+Tp8wOjP4mndLDwmplvK2bV28olAE5XZdODhW81xSZ/cA+EfgB+7iS3gKInlC4DshC6grL2wCpO6VGzwM6JidkBQfkUhW1Mt4GiN5QKANyuQKd7LWGN0dmLxogd/YWQPSEwnVAsuiXKrwMkMXAdvzd+vNUvozVJDgghxvDfDlF5KgFUSbTAdEbCmVAsivvIFPXiz7izZHZTSDvF3gLIHpC4YPdvOD5+rf67tX64RJUckDSL8eA3948vxM+nS+liOwKd504hHuepOsIhcpN+j8h437+JGSdwBx5s1A6mzySard6CyC0XAyFLwJC6k7TomM0loVJ9kXhrAJlX+z0ceGabcr0UOrJivhH66cgtNz2qomroVB7DhI1d+C0G0Jz5BfcI9LUIL6lexUgwLVQuAqI7SXmvscbAbFdmFCECFaejS4j25at/imqFJCZJ8mfSgAAIABJREFUze6B1Al5XyPLvtdHoUzEdKd+OPcA4igUKnLuQWG9fWxqm2BYBK8CxMVQuArIycrM2ssA2UP+77a4LpG31+8qBAQSBFHfPtIkbMBJCSAp/tR3tDvydX8yok7tFxUep0domRWEl+mAaAqFirQDkrF70Tz7EP/9BF+TeQsgekLhKiAfsmMUexkg/Xd2y0tU/SpS1XtodHR0HDfSJHTASQkg18tTy+8Kty4z4fz5YsXhl5xP3nTqAtd0QDSFQkWaAblWrfG75Qr+x2ykB4XzOd4CiJ5QuAhITkl2ingvA4Qg8r192FFnEjO4NDvSJHTASQkgz/ypO9Df8lUfRY1sM2gcdK/e1s2rKRQq0gpIZu2fAaj8cQ2mJactFWR5CyB6QuEiII+bsAW8DJDCSzQMjNuybXDT89xIk6IBJ217ttKaWyMtLTopza4OH6Smpe3NFRyaFje056F6aTBFpELNSkqJcsr9vyLMmW29oF43XppCoSKtgByvQ16mlsh8CXKB6S2A6AmFj/VifaXF+5vs1AEVbOxIk6IBJ9MG9KH1RqW4uMiYOLtu1GkwqGPRMvmLNS/cOXzPS3EQRV+OhZkVFRPhlPs/wcyZ9flaY0i0hUJFWgHZ0R6Aae9ld94id/YWQPSEwscA0aowIpYdaRI64KTsOUhO6KLNcRWHtaGeg/SaAtvj6u5edomlV1oBuVIq3Vbx99Sy9EcgNw8Ls7wFED1yDZBs+2jSFgSEut94Vo4baRI64CT8SXqh23U6b9vWuU4KbK8dFyEKCOg96HCFe0O60y3IPjYvLXQBmb6IS1kQkNnkzpfsBexIk9ABJ6GAZOdKfT6va9f50Bon+l1DFZDEES8U8h9GPz/NKHRbmIMsIDklr3BJCwJyuuvEeUfJNTvSJGzASSggMflVdrq5pbf1YumV9ucgOSU23WUuKfbXFWUgC8ixmvakBQHRICggd0qqlNi6GV1AjlbjxuYdJS6DLCDjZtmTCAHyT23VMugCMuYTDpA/xa0cWUD6X7MnEQJk/2tQX07IApJV7KpgGmihkAVEIIQA+VVlqr87WegCcrAOwIAoCiFAfhii6G8rdw1dQN6dywKSs0CSgyogwqogBMjciYr+/5azIQtIevBdFpDjlSVZiAJy9GXBBkKATPpc0X/mOHTvQX6nmgMNyIQZkixEARn5qWADIUCGLoX6Uqodii4g71Bvh1GA2Eqfl2ShCUhW0ZuCLYQA6aY8dP6ADGQBSQ2iRvOkADlfQdqI0ATkgOhpKUKAtNgH9eWEKCDbX6WWFCCxF6XOaAKySzQBGUKA1DmjWgZRQPpQk27hbl5FIQRIqdtQXzJAl6glmoAk+tMNGwOiJIQAKQAf0AOAlfSUlWgCsuENekUCsuUfmTOSgNwVD02ADiBpuaD/S5LqsIpaoglIl5/pFQlItcMyZxQByQ4JE2WiA8iTggrOiX50W0cSkFg/Zjsy+0Ipef1RBORAA3EmOoBcraDgvJWZFQRJQFZ1YNaR2TPGyp1RBOTdeeJMdAA51lDBef9v9ApJQN5cy6wjs+v9JXdGEJCMYMksZOgAsqsN3JcTioBEBSQyicjsy5AWhCAgiR9LMtEBZI3SoLysLAaIw3HUtABCjXhBC3fzKgkdQBaNhPteZv0sBUjsworUYLoqwxNrAqTVJjaBAVESOoDMkg59wshWnh3AwkqAhHfZRZCAqA1PrAWQx/Zp1y5OhzmjB8ijG9JMdAAZCx+f7yw3K4iVACF/SQoQteGJtQDybT8uNX0IzBk9QIbKGgk6gAxYCXWdwf1cFgQENjwxuD6VUa8pSRDFRwk2Gm/kUnW2wJyfxcKscc9g1sQImDUpMl5m+rgVe4bXjQ0JXE4BkiYc254ROoC8tR3qWieUTVgQENjwxOCaZkD+KxjNpi7ZU+4ApCVzgjNllzNmyClAdjWRZaIDSBP4/DizuVdvLAiI2vDEGi6xFgzmUkt74Zt0SoPkQ4ujA0hV2ecOYlkQELXhiTUA0uAPLhV/CwNCaY38R0UHkCIP1MtYC5AHBPURpMrwxI4BuV6E+eN5rEO1pnNkI31TQg4QiJABxJZH2s1D6fkxe9JSgOweTkw8ojo8sWNAPhtBr/4s+vONg00GwpwxIAgBEv8CzHF1N3vSUoBokENAatBvX+WUOwDG3w2rBLtDQwyQrK2QTGQACSsOc+y8yp5EDZDLzPvt4cXAk8DUyImfQZwRA2TPq5BMZAA5Vx3il+TP1wI1QGYwc5k+DPy2bzsQOf5LiDNigAz8DpKJCCAnO5YJ+Er+W+0UjGeNAiA3hzR9YykzI7qt0nFqld0nb9uSAdOuljgN2QVagKQGPYZkogFIaJEfv2zSoq/M7+QffBoBQM4WmnN4bVMmDP+Wp5vMvOaHC764snBx6LCsaAGyqxksEwlAbJX2gp/feV7tgFoZBAB5aRV5ifW8xu9U+qOPaFPt4+Du8LeaNMTPQcD1U7BMJAB5XIj8WSaAqbNUiiAASPILWdQ9yGfUX4ucMv/StpJ3qeWfr2BAFIQEIBGBOWDyHDDpU4lbqLAOvg9IEgPI5xQgx6sytlbrqOXMwRgQBSEBCKi1Bry3JLrUMbGXraxwtGbfB4S7xNpBJsfNZEzHis+ZadtQ9F8MyKpIaCYagJwt9NGrw6qOl3hRs4LwQgCQs4VmkzfpPQE17Ro3z/GWfAEFq4TiLwqfB8L6sFABBISNLvjqNqnXzHHCLQQAATcHs928f9knNI3165s7OHc/6KiTKAHy6+vwTEQAAaD+SZlX/f3CLRQAsT8oHGF/cP6/Ul2egdiuPWHOKAHS40d4JjKAlJN/v7ZE9OOhBEhG8F3O0MefeonzQZlzEGeEAEkNeArPRAaQAPg9GC+UAPmDH19zJz16dSR0diGEAMk5qpCJCiAZhPyXEgslQAbz89meqEktIxvvhzgjBIiiUAEk0l/qk/K7eBshQFIL8h+PZVajLr6XloO1AwwIOoDcKCv1WdNFvI0QIL/Z3zp6XjnrUtnWk9qHyLswAEqAnNmklIkKICfrS30En4LQQgiQvt9ym9TI9ilrZ62+g/hzkO7wMaEAOoDslXZzJ/lJWjg6gCQH2nts+i1h1og/KEwIUGzNqACyTtrRv0P6+Rg6gPDPxOyfQCAOyPp2ipmoAPLduxKXm9JzQweQbsu4rYvs/Dm+AUhGti1bdjhNgPRdppiJCiBzJjsqgwwg8QHy90osDAg/tH0gQRCyW01NgFxXfgaACiAT5in5ckIGkDXt5WbrAiIY2n5odHS07NxwNy9MckAGSf6I7pG9u4kMIG+t5jay7FW2LiCCoe2lb2vTwoDAJAek0xaxRwXZrOCoABLlF293+YVLWRcQwdD2LdsGN7V/4ZMex6jkrRxKT7NzFBXZRzkvJy5FJTMiSzkvLVqlYHwyvaq/jzlJ2JiGIpkPyKsHRQ7ny8r+R0EFkJ+72tOFuCkTLAyIYGj7b7JTB1TgftchwYwKn4qk9DRSWd+2VsmMiFDJVNuraia711oVmZMsmeqgluYCcmfDrpga1NuqB4d3msW069njZGVQAeQN+2uJf/J3tNYFRDy0fRghvVzScInV7geV/fv+JVbOuCIdO4QE3SNjWX3Zpokh9GvvDQ/KyiACyJXAFC49/HO72bqA8EPbU9cpz8pJ8x0D8swvTGX/vg/IwtfIa+5rxGFwsiz1y66k50hZlykrgwgg8/jJfnvar7AsDAg3tP2GmNlko1uyV5rvGJAtHdG+Sa98llwk534fzKanwM4qoHDiiADSGDrRlnUBYYe2Ty9/4HTXifPkX3U4BiTjGdqAFKAeiz0I6Aam0cNi2YIUPh1DA5DbQdCZQCwMiAPhbl6YhIDUogb2vxQ8EeysT11XHaxgA/Gw74/RAGQ+f4WVKDBjQJTk+4CsqxVO3ojkvQNsXToeur2hBHl7vroDpAwagDS092GdaSQwIwzImAuIAwIWF61bvURjMpE+v36JDtQo5p1hb/8jAcitIvYLzAnCSdvQBeRZQBLqgIDkU1eWDxDkJvlFQcogAcjnw7gXFXNKnxXY0QVkRTfUL7FofT1GsLEHOs49EoDU/pMD5GQloR1dQNpuwICQmi4c2P3hWak/JRQA+S8klQNk12JhBrKAZBWOx4CQen+RwzIoADJrTAZ0jFF0AQFpyPdi0eq7WtGXEwqAVD6KAZELA0Jeae7i05tuQMsgAMi5MjkcIFFZohwMiJIQAaSh4B2Eiv9CyyAAyORJ9llua4vvw1AFZB01ER0GhITiP3sS8ikILd8HxFb2Hw6QS6XEtUUVkJabAQaEUkH+C9tZ8k9BaPk+ICer2Kc/+GSsOAtRQB4HUjXEgICsXPwnW41gwzQDFACZMN0OSPVD4ixEAfmOnhIbAwJi8vPpY1lyf0o+D0h2iUscINkDJUFAFJD36QHMMSDgtobm6fOAHKoF7H9BpEIUEEYYEPBPbWVfTj4PyPtzAAYEJgwI2NeCS8XPVSrj64BkFr0JWEBSrkmd0QSE/e4aAwJ+tQ91sxYyrCAjXweEGcOEBuTLkVJnJAF5xM4ZgwEBPwzlUt1WKJXxdUCG0IOv0oC89IfUGUlAFg1k1hgQMHcim0gJgH0KQsvHAUkrSA9uQwFyN1g2pguSgDTbyawxIGASNwLUPumsILx8HJCdTekVBcjXb8ucUQTkfkG2hWBAwFBu7LzY21B/Sj4OSH/m+w8KkDXyCQlRBOQwdx4YENAVNgu4RL4NSErgE3qNu3nlwoCAFvscl/FtQDa3ZNYYELkwIKD2GWa9TDbpAS/fBqQHOxQYCchfkLaCICDR9rdtMCCgFHPrYSsN/xSElk8DkhDAnm5G9FN/yFj7CALyaiiXwoCA/MzJni+j8ofWpwH5HzeNa0b00t4QZ/QAuVsonUtiQFJzMb//7NEqZawICHReV1YiQDpyc0llRL++bn7bNl9Kfnb0AFkwxJ7EgDwpyKxf+VOljBUBYed15Sd6FUgISIw/N+1axq2AOm///vvgWskiZ/QAachPlIAB+a8is74MbQasrAgIM6+rYKJXgYSArOjMpTKud6IfEw77KF34OB05QGwD7VdYGBBwrKGGMlYEhJnXVTDRq0BCQNqs51IZ0U3/otY/+ufN1/mW3QE5QITCgOyS/fcKkRUBYeZ1FUz0Surxckb9pj7ndNc/iksmRjXcR65OFSoXF/1NqXDOHJH8HKLoeJg1IRpmTYmAWZ9HJclMU99iz1A2E7cZwoDAJAFkNT0pRtxYRX9KVgSEmddVMNErqX9GMur5cQKnr7vakyeOjRlCrlq3GEEuR43mzBHxCRA9i4FZY6Jg1vgImDUhMk5mmtSCPUOVh1LGCQ5I2j3hBvKALHqfWq7prOhPyYqAAHpeV/FEr5wEl1ivbbUnOyxJqDLuxAn/MtR10p7WnBm1S6wv3xdsYEBm0VNhdIXNCsLLgoCw87ryE70KxQNif22VDIrfLRA/5eWGwX9TW2t7cHbUAKl3QLCBARnzFblI8Vf8FISWBQFh53XlJnoViwdk4UC7cXVb5l2smT3I2qbW+5WzIwbIjWLCUV0wIAOovx2h0FlBeFkQEG5eV2aiV4l4QBrtthu7/kADYrvXpt7Mj8vyz00RA+SLd4VbGJD21NTHqQqz23KyICCqsgNyuzDfSLfGkIBkzStYMH/bMTOO886IAbL8nHALA9LkkIovJ58F5IthAiv1uvusFg9ByvuthfVFDBCxMCBVLmko47OA1BWOtUoCEu8fSSay6wm/kcGAKAkJQIo8AOC7vxyU8VVArha335Cmr6YAOcuMoieadAstQA6KXZAHJCdPMrCVP+OgjK8CIniFeUczCpA7xejG0mOtwBkpQG4UEf/UyAMS/yIAF9U+BaHlq4BUPmI39VtM34M0o8ZvOBki7PVGCpA5o8QuyAMSVhyAT8eo+VPyUUAulLbXKyXgEQ1IWLUOkweFiD7TRwoQ6dwPyANyrgYArRRmBeHlo4BM/dBu2dOYHbQhY9Os5eLBG1ACRHBTxgh5QA6+QrYAh83fNwGxlTttt9w/j0c1IRW2TeKCPCBbOmkp45uAnK4gvvfCgMiFPCDL3tFSxjcB+XCq2IoBkQt5QOZNiO2q5s3IJwHJLnnBbthwF2BAADh5X+qCPCCT56zu4LiMTwJyuKZ9O6so9YUtBqT2EakL8oC8+123nx2X8UlARvFfTR3gJ9CRCx1ArpSW/c7IA9Jzpf8Tx2V8EZCsojfs2yPoKSAYQDKXtGs27I7AGR1AZo2XuSAPyOsLmmgo44uA7K/Lb4dcoZY0ILbOzXcdn1noPz4THUBqHpa5IA9I/ePxas6sfBGQYV/w28ylNw3IprpUbJY15zN9F5DAcZsvpQsAWSuvKfKAlL2h5svJBwFJD74ntdKAjFtAJdNz8+87+y4gRUb1qJavSrexa88mK7kgD0hApJYyPgjI7sYyKw3IGAaQPPww774LCH2J9ST085HNg4JfHrRgzz35AxHUAckgNmgp44OADPzGvnXta2YtvMQS3Jn5OCDMJVbc8eXDapcMernPnK1XhfVFHZDI3P8C25omxVvsUi3je4CkBDy0b42bzqyFN+kXeWckACE17QMQd+5/UztXylerz9T/nWOaCOqA7MwTN7F4/vZ/byz/vVoZ3wNk62v2jZzS7DAFbDfvt2h289rKcq9uJp7bOqdPrXyVOk9dfjwGcUCGF6nXudAfs4uE3Q5Si4TvAdJrqX3jVCU2gfaDwjPSVzevbl0w6OX8IW0nLA9V+D0RAKRByU7resbMqV9hX1O179J9DpCp/nznxCyuUaINyLSJMJfk83sWjGzuH9x85JJQ2dhQCACyquSGTa2KDv7Wr2yxoyplfA6QHm34jQdco0YbkGvQH429B3kSumRk22LSri4EAFlSYe3TvJPB3eJ7ch9QKeNzgFRbAbGiDQhcopv0uOPLJ7QVdHUhAMictq1i84Ys7Fi3cM/pKmV8DZDhL8AaMgZELkgvFt/VtexEGqQIK18AJO7VCV+0bpLvq2r5R1yfO0mljK8B0qYyn34ngUuhDIjt/Uyoi2I3L9XV1b0G09WVAnPwBUDWtn/n56zv/OrOiANZL29RKeNrgHQebE9eLGWvW0b0X3MXXZM5IwHIiSpwFwfPQZiurgIlIV1dvgBIj587kVjsK74u4mL31moM+Bogggl0Zo2zJ5PfrDp2bMm5UmckAPlANkUEI00PCrPu8V1d9jfcfACQ5wGRr4SS64PNi1f5KFGtjA8DUpP/iG5qhyyy1VaQ9lagAIj9YalUzjxJF3d1+QAg/74KaijERSLfBeRBCb75lztGLb8bLHFGAZALFRRu1J1/1YTu6qoU9HKX2eK3uoSyCCCkiodpKuO7gOQIfqrA69RycxeJMwqApN5ScHH1Xay4c99P4d7qSpXlWgYQ2wtaPpfyZUCEarSGWo6bIjGjAIii9L2sKHyrS9jVBQUkflannkszvQuQpDyOhq1mhAYg+0qdALaVpaStGQOiJI0PCoVdXcyo4DJAsq+duFf2nQ1rXmud4z2AzFwBHhTRVsZnAVktnN03Y11l//yv/yd1RgCQJYov4hn3ujvT1RVAd3XdkAByqFqlkFz5Gs24ltX8Z68BxFb+NLio0Pstlc8C8tJegTUjGkQlyZ19H5CsEorTjBn+PQjT1VWI7uriPB4XX1S1xwsvls1XZPAnLY/e9BJALpXMAYe0DGkCfBeQO8HC58fIPkk/VFPRxaQPpu7SXV3kPTz9VtewQsUC/XIXIXIRpPLkakAH0eOAfDoSgO1vgfOjOkyUDV8gla8CMl/UpSsFxLZxQPevn1sZkIuffdk1XJISiANkzCeKezD1i0L2ra6qeRo0+jg/xQb9r0DugtRDOY8D0n0/ACsHrCwyZ+OHhUIdlPFVQDr8LrRKALF1r/vj6s5VYq0LSGqTLLCqrTglFAdIlcuKu3DDJ7fpIyq/UvoFIjdB5Mqdm/DLG1CaaA+8ABBKXw0pcpVcHSiZrl7GVwERv4wqAWRVYyoqY4daF5CNw8hrfiJJlBKKAwR+aUnLHd+kD/iiyFtBBcg/H9QlVvESuccTeR97CSDTujNDu9c6rVIA+C4gYkkA6bOKWt4OsS4gsyeTfwdz3xalhPKS6Q8mzdzlly8PkZfwy5Urd6eCeYoSuRtMWVPtuMrOhTIJEPru9P1+fWnby2qfEwJEAelGj4j0qJB1ARk9g1wEXROlKC3uwyj4nzhKT+OUFROpkhkVrZIZEat1ryeLHvm4XSPqDiRXrlzv5AooVrTCuzN65m/NnORgB1c3JgESX4ZK9/miOPU/xO1ABw/UfROQyJZiqwSQeb2o5ZL21gVk2gRykS9GlKL0z1ZGRa6kkTraLzVNUUnRynlpMQkqmRFqe30m2txYpMGLBSvmqkp1YhG58+StUex8WlqNL5iT3OHoWbY5gKyjZwVpu2tss8N391T91kEZ3wRkaU+xVQJISvXRV24sKXzNuoD81B2ApBI5opRQzCXWiMken2EqbvewoFEDC75QMF9uIm+RAY2pUeY9fA/Sg54VpOGxzB8bF2+5Bc150lv9KrZKu3kjx1cr2/eyhbt5I0KSwI5pAGyI4VJi0YBkFT3ucUBI3fhi3GryYsq2uUWxRsuo63/PAhLDzApSUfZeBVw+CchTf8mQzb73oHD7kCWzM0B6+QNsSiIakNA6nr5Jl8grXjW50I5OF9QweQ4lnwRkT2+J1fcAcSAakJlzEQYE9vxU0M2blUv+qj5UPgmITGgCkpGNLiDQ56cCQKLza9wRBkQmnwHE889BJHIjINDnpxQg0cw53NbaMjEgMmFAfAAQ0fPTnGULaI2ulpz84ZfJlA7XStamp0kaHRklRDrlfrEwc2YLDrleVedEATLgoNSKIiBZ1RMRBkT0/DR9zEhaXSsnJJTfn0Bp+ysJ2vQ0XqMjo7hIp9zPBjNnNvIn16vqnEhA4vxlD0dRBOTPl1D+CyJ+fsqKvMS6EsLUbGM3jTvywUus/70ps6IIyNB5KAMCfX5KAjJ3GHOT/sNQjTvyQUC6LpdZEQQkvdA9lAGBPj8lAZmwhwHkc7XxeEU78j1AXpY3WgQBuU71caILCPT5qaCbd6JsmE0F+SAgECEICL1CGBCYBIAM/UFjGQyITBgQ3wUkkQOk668OfDn5HiCwoYjRA+Qm/btiQEQ6US/YxgLSYp/GMj4HSD/p+KKU0AOk7y/UCgMi0onyb3J/QWr/o7GMzwFSawnEihwgJZnJ4jEgIp0IXsoBUlL6kbKSfA2QkS8+gliRA6RwPXqFARHphP++cwdPnqP04t/ntGn/vxodGZ056JT7TrcBEs1+a9qi6CmIjh2EWU8dOAGzhh6GWY9Ad3FyP3zHx2Sm4V3YM1QZaMQ4FRjC/LpnlX+bk2o/5V/HVTIPqLSZU2p7/fsYvaruKUBuFqlUqXjJSpTyVdKoEhW0etIqG+KUe6V2BldRUUfbMmoQXAGicmVh1gply8OsZaDOZcvArOXhOy5TTl6+DXOCb2kd0kOXipVjft2Kyj9NyeIqv1vxEiqZam2mlIa9Vr6psRZGA0Kpw3bn/AOinHK/WM253btds2bArCdfgjoXgn5VNnAlzLq+J8waC/+soNnfULO7lUOozFW7raNKyQG/qGTmg15tMvq9tUrB4UtVMiHCgBgvDIhAGBC5MCAwKwZELgyIJmFAZMKAYEB4YUBkwoBgQHhhQGTCgGBAeGFAZMKA+DIg8y465z9EJYQQRUxwbvdu17atMOuDyVDnYSkw6/fQJxVnFsGsGYOgO55xB2p2t2wDVJ55X5ivUhIeA1bvyN8TsOvqZyoFf3by/w0zAMHC8hlhQLCwVIQBwcJSEQYEC0tFGBAsLBVhQLCwVORBQDKybdkqnXUSOZqFx5sFrSm8QjZFf6d2biHBzl/1x+YyXa64UwWNBwQ6qTxMgQRB1Lf7qxeLXVgxC0h9NR/J0xLXlBa0QpxV4p88sljhQUlSZ84qds75rFrx/ileESL+2JCz4E3s+QvERgFekM+UF+RCAispyJMXVJHhgMAnlYdpaHR0dBznr14svMsuIgtIfLUfydMS1ZQWtEKcVeq/dXbSuVJTpM6sVeJ8cXpGTI0F3hAi/tiQsxCYmPMXiIsCtCCfKS9oDwmsJJ8HKagiwwGBTyoP03ihv6Nij6iwiH21H8nTEtWUtUEqxFml/vszAZjRTerMWiXO51NJyw9ao2qm+GNDzkJgGi8v+ohlAHr6XCakIBcSWEk+D3ZEZRkOCHxSeZhatg1uep7zd1SMDovYV/uRPC1RTVkbpEKcFebfexEsUqRV7pw4OFFrVM0Uf2zIWQhMzPmLxDEAPX07IJCCgAmJUitk8hQKKshwQMSTyqvpm+zUARVsrL+jYnRYxL7aj+RpiWrK2iAV4qwQ/7B26XJn2ip1zvmgd7fjEF+3iz825CwEJub8RUU5BqCnbwcEUpANiUJJNg9eUEmGAwKdFEFJYUQs6++oGB0Wsa9TR/K0+JqyBkiFgODXF/snd4+AONNWyM7X5U/2ghDxx4achdhEnr+oKBcF6OnbQwQpaA8JrKQ9XLCCijIcEPik8hBRF4jPynH+jorRYRH7aj6SpyWuKWuEVIizyvwzx98HcmfGKnGmBvQJJ2K9IET8sSFnwZvY8xeJYwB6+lwmrCATEnhJex6soLIMBwQ+qTxEs1MAWLKX83dU7AGRASS+mo/kaYlrygpSIc4q9c8eezo6OjpT4sxaJc7jIwFYOdkbQsQde0MM5Cz4TPb8RaKjAC/IZ0IKsiGBluTzYEdUlvHPQaCTykN0uuvEeUd5f/Viu4cTE49IfbUeydOS1JQWtEKsVeo/gaB0WuLMWiXOe96c/uM24BUhYo6dXv4A7Czsmdz5C8REQaGgPRNSkA0JtCSfBymoIvyqCRaWijAgWFgqwoDejArWAAAEkElEQVRgYakIA4KFpSIMCBaWijAgWFgqwoBgYakIA4KFpSIMCBaWijAgWFgqwoBgYakIA4KFpSIMCBaWijAgWFgqwoBgYanIkwPHnf5K62TVTuj54c+ijd+rmcJxYOSdcTAXkB+bEX3YZIxfnsFXqET2mNmM5eggIlShXEalRG0HSMuUWnZ3Irxj5hihcBwYWTAOJv8FOUXkvsek5hLV6bVtXDXu/4l7VECOlrgnL7aF0DZR1tGQSzLbAS9sGDgOrKwXB5MBud4i91g6kdawdhM68e0I+5xj4VRAwt5LkBfr0qSmpmFZNhLyGf5CvbFh4Dgwsl4cTAbkxpB+BehLwBXfvdyUWuec4zPpgIAcedUvTdhGHNKy+23Ec5nNKxsGjgMj68XBdEDOEdSUijnNU+iAZC4cNfL1k2QifMLrDQeTATnYvxh5/vdHVCnYh7/MfO92ZuneVOLPwaXD2/m9dj36rQIvXyC3bSsnjG45lQzC5nfebz8S7K5GFA/5emSF64OC/rPvw0sbBo4DJevFwXRAQJtiqeSt0hxABSS7PRmdn4OegrVt4kDsEDIg0bOp82/3CJzMv5ArFNOLvETN85hMhY8khl64VaX68PN3qtchtz8abAORVd7I+a9yNsgaCMB6Ig08nkr0n1Xjnn0fXtowcBwoWS8O5gNygFgGQPtndEB2EXcBiCD+l/jiCcD+Sd1PnX84udWjP1dowT4AIl+g+zY2EA/Iy1SCvG9bSiSC27nOACoKe38LOmWjClEBIffwE4jKsO/DWxsGjgOwYhzMB8RWv0r2mXGADsgsot+w0ZN77A2lR36kA0Kff+amkaPrc6PVZ9Xq0q1btzIlqB67TUQyAFuJeAB2EBFk/R+RtsfEp3H1iLJDD7IBCSWuU8W4fXhrw8BxAFaMg/mAgI3Eb/3CmIDMpKpGah1BDbx9mwtIYr2Pk8H7bdgy2xdQyyPEFsAGZBtVaicZkGUEdeGZQXwPMkInlSd2cQGhImDfh7c2DBwHYMU4mN3NO5hEuVz1t8lkwyYA/Er8SpsvEtQF5k4uIKvIP5fgbS4gLekxVHPKtwDSgJwiFpO227kunyADnFV1MRmQFC4C9n14ZcPAcWBkvTiYDMjp7uTiO+IUuaxcHYD0GgG70tJXPMlpG7Dz+R8DiL0A7CWugtXEssiva73OFDlbj1lPIk4DsJaIoS48I6mA3Ae29iXDgW3sFPDjcgDiyBuxncS60DRqD4Dfx+/0ppcJx4GR9eJgLiA/Ny84+iFIaW0DD4fkzjvsKIgfUal0750ARL1TPGB2ONFq48ZWRNf9zzv7vfWgb/Biukj5wh9Qj46+e5Wo+NvKxsTAC6uaEv2OknXv/TdIntBw9KzNNrCnebNR718CIOkVv/EbWhGdfwCA28fGluQOTa2UC8JxYGTBOFjmbd4cC8xz4A7hODByVxwsAwgWlieEAcHCUhEGBAtLRRgQLCwVYUCwsFSEAcHCUhEGBAtLRRgQLCwVYUCwsFSEAcHCUhEGBAtLRRgQLCwVYUCwsFSEAcHCUhEGBAtLRRgQLCwV/R95a0PgfIwxPAAAAABJRU5ErkJggg==" title alt style="display: block; margin: auto;" /></p>
+</div>
+<div id="ajuste-dos-modelos-1" class="section level2">
+<h2>Ajuste dos modelos</h2>
+<pre class="r"><code>##-------------------------------------------
+## Para o número de vagens viáveis por parcela
+
+## Preditores considerados
+f1.nv <- nvag ~ bloc + umid + K
+f2.nv <- nvag ~ bloc + umid * K
+
+## Ajustando os modelos Poisson
+m1P.nv <- glm(f1.nv, data = soja, family = poisson)
+m2P.nv <- glm(f2.nv, data = soja, family = poisson)
+
+## Ajustando os modelos COM-Poisson
+m1C.nv <- cmp(f1.nv, data = soja, sumto = 300)
+m2C.nv <- cmp(f2.nv, data = soja, sumto = 300)
+
+##-------------------------------------------
+## Para o número grão produzidos por parcela
+
+## Preditores considerados
+f1.ng <- ngra ~ bloc + umid + K
+f2.ng <- ngra ~ bloc + umid * K
+
+## Ajustando os modelos Poisson
+m1P.ng <- glm(f1.ng, data = soja, family = poisson)
+m2P.ng <- glm(f2.ng, data = soja, family = poisson)
+
+## Ajustando os modelos COM-Poisson
+m1C.ng <- cmp(f1.ng, data = soja, sumto = 700)
+m2C.ng <- cmp(f2.ng, data = soja, sumto = 700)
+
+##-------------------------------------------
+## Para o número de grãos produzidos por vagem
+
+## Preditores considerados
+f1.gpv <- ngra ~ offset(log(nvag)) + bloc + umid + K
+f2.gpv <- ngra ~ offset(log(nvag)) + bloc + umid * K
+
+## Ajustando os modelos Poisson
+m1P.gpv <- glm(f1.gpv, data = soja, family = poisson)
+m2P.gpv <- glm(f2.gpv, data = soja, family = poisson)
+
+## Ajustando os modelos COM-Poisson
+m1C.gpv <- cmp(f1.gpv, data = soja, sumto = 350)
+m2C.gpv <- cmp(f2.gpv, data = soja, sumto = 350)</code></pre>
+</div>
+<div id="comparacao-dos-ajustes-1" class="section level2">
+<h2>Comparação dos ajustes</h2>
+<pre class="r"><code>##-------------------------------------------
+## Verossimilhancas dos modelos ajustados
+cbind("Poisson" = sapply(
+ list("nvagem adtv" = m1P.nv, "nvagem mult" = m2P.nv,
+ "ngraos adtv" = m1P.ng, "ngraos mult" = m2P.ng,
+ "ngrapv adtv" = m1P.gpv, "ngrapv mult" = m2P.gpv),
+ logLik),
+ "COM-Poisson" = sapply(
+ list(m1C.nv, m2C.nv, m1C.ng, m2C.ng, m1C.gpv, m2C.gpv),
+ logLik))</code></pre>
+<pre><code>## Poisson COM-Poisson
+## nvagem adtv -266.6918 -266.6018
+## nvagem mult -259.6165 -259.3267
+## ngraos adtv -343.1633 -326.6072
+## ngraos mult -321.6692 -315.6448
+## ngrapv adtv -272.6263 -266.0946
+## ngrapv mult -271.3018 -261.3122</code></pre>
+<pre class="r"><code>##-------------------------------------------
+## Teste de razão de verossimilhanças
+
+## Dos modelos para o número de vagens viáveis
+anova(m1P.nv, m2P.nv, test = "Chisq")</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model 1: nvag ~ bloc + umid + K
+## Model 2: nvag ~ bloc + umid * K
+## Resid. Df Resid. Dev Df Deviance Pr(>Chi)
+## 1 63 79.429
+## 2 55 65.278 8 14.15 0.07793 .
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="r"><code>anova(m1C.nv, m2C.nv)</code></pre>
+<pre><code>## Likelihood Ratio Tests
+## Model 1: m1C.nv, [llcmp]: phi+(Intercept)+blocII+blocIII+
+## blocIV+blocV+umid50+umid62,5+K30+K60+K120+K180
+## Model 2: m2C.nv, [llcmp]: phi+(Intercept)+blocII+blocIII+
+## blocIV+blocV+umid50+umid62,5+K30+K60+K120+K180+
+## umid50:K30+umid62,5:K30+umid50:K60+umid62,5:K60+
+## umid50:K120+umid62,5:K120+umid50:K180+umid62,5:K180
+## Tot Df Deviance Chisq Df Pr(>Chisq)
+## 1 12 533.20
+## 2 20 518.65 14.55 8 0.0685 .
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="r"><code>## Dos modelos para o número de grão por parcela
+anova(m1P.ng, m2P.ng, test = "Chisq")</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model 1: ngra ~ bloc + umid + K
+## Model 2: ngra ~ bloc + umid * K
+## Resid. Df Resid. Dev Df Deviance Pr(>Chi)
+## 1 63 167.71
+## 2 55 124.72 8 42.988 8.83e-07 ***
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="r"><code>anova(m1C.ng, m2C.ng)</code></pre>
+<pre><code>## Likelihood Ratio Tests
+## Model 1: m1C.ng, [llcmp]: phi+(Intercept)+blocII+blocIII+
+## blocIV+blocV+umid50+umid62,5+K30+K60+K120+K180
+## Model 2: m2C.ng, [llcmp]: phi+(Intercept)+blocII+blocIII+
+## blocIV+blocV+umid50+umid62,5+K30+K60+K120+K180+
+## umid50:K30+umid62,5:K30+umid50:K60+umid62,5:K60+
+## umid50:K120+umid62,5:K120+umid50:K180+umid62,5:K180
+## Tot Df Deviance Chisq Df Pr(>Chisq)
+## 1 12 653.21
+## 2 20 631.29 21.925 8 0.005057 **
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="r"><code>## Dos modelos para o número de grão por vagem
+anova(m1P.gpv, m2P.gpv, test = "Chisq")</code></pre>
+<pre><code>## Analysis of Deviance Table
+##
+## Model 1: ngra ~ offset(log(nvag)) + bloc + umid + K
+## Model 2: ngra ~ offset(log(nvag)) + bloc + umid * K
+## Resid. Df Resid. Dev Df Deviance Pr(>Chi)
+## 1 63 26.634
+## 2 55 23.985 8 2.649 0.9544</code></pre>
+<pre class="r"><code>anova(m1C.gpv, m2C.gpv)</code></pre>
+<pre><code>## Likelihood Ratio Tests
+## Model 1: m1C.gpv, [llcmp]: phi+(Intercept)+blocII+blocIII+
+## blocIV+blocV+umid50+umid62,5+K30+K60+K120+K180
+## Model 2: m2C.gpv, [llcmp]: phi+(Intercept)+blocII+blocIII+
+## blocIV+blocV+umid50+umid62,5+K30+K60+K120+K180+
+## umid50:K30+umid62,5:K30+umid50:K60+umid62,5:K60+
+## umid50:K120+umid62,5:K120+umid50:K180+umid62,5:K180
+## Tot Df Deviance Chisq Df Pr(>Chisq)
+## 1 12 532.19
+## 2 20 522.62 9.5648 8 0.2969</code></pre>
+<pre class="r"><code>##-------------------------------------------
+## Estimativas dos parâmetros do modelo proposto para
+
+## o número de vagens viáveis
+summary(m2P.nv)</code></pre>
+<pre><code>##
+## Call:
+## glm(formula = f2.nv, family = poisson, data = soja)
+##
+## Deviance Residuals:
+## Min 1Q Median 3Q Max
+## -1.9681 -0.6393 -0.0195 0.4854 2.3306
+##
+## Coefficients:
+## Estimate Std. Error z value Pr(>|z|)
+## (Intercept) 3.95369 0.06892 57.363 < 2e-16 ***
+## blocII -0.02928 0.04091 -0.716 0.47414
+## blocIII -0.07265 0.04136 -1.756 0.07902 .
+## blocIV -0.12544 0.04194 -2.991 0.00278 **
+## blocV -0.10795 0.04297 -2.512 0.01199 *
+## umid50 0.13404 0.08765 1.529 0.12619
+## umid62,5 0.21656 0.08602 2.518 0.01181 *
+## K30 0.27427 0.08493 3.229 0.00124 **
+## K60 0.30797 0.08432 3.652 0.00026 ***
+## K120 0.32883 0.08395 3.917 8.97e-05 ***
+## K180 0.25540 0.08528 2.995 0.00275 **
+## umid50:K30 0.06322 0.11557 0.547 0.58433
+## umid62,5:K30 -0.10747 0.11536 -0.932 0.35152
+## umid50:K60 0.16561 0.11370 1.457 0.14521
+## umid62,5:K60 0.10735 0.11220 0.957 0.33869
+## umid50:K120 0.14920 0.11338 1.316 0.18818
+## umid62,5:K120 0.11839 0.11404 1.038 0.29922
+## umid50:K180 0.30370 0.11361 2.673 0.00751 **
+## umid62,5:K180 0.19838 0.11256 1.762 0.07800 .
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
+##
+## (Dispersion parameter for poisson family taken to be 1)
+##
+## Null deviance: 322.684 on 73 degrees of freedom
+## Residual deviance: 65.278 on 55 degrees of freedom
+## AIC: 557.23
+##
+## Number of Fisher Scoring iterations: 4</code></pre>
+<pre class="r"><code>summary(m2C.nv)</code></pre>
+<pre><code>## Maximum likelihood estimation
+##
+## Call:
+## bbmle::mle2(minuslogl = llcmp, start = start, data = list(y = y,
+## X = X, offset = off, sumto = sumto), vecpar = TRUE)
+##
+## Coefficients:
+## Estimate Std. Error z value Pr(z)
+## phi 0.128842 0.166355 0.7745 0.4386355
+## (Intercept) 4.498707 0.753608 5.9696 2.379e-09 ***
+## blocII -0.033261 0.043957 -0.7567 0.4492454
+## blocIII -0.082558 0.046164 -1.7884 0.0737184 .
+## blocIV -0.142556 0.050548 -2.8202 0.0047992 **
+## blocV -0.122674 0.050100 -2.4486 0.0143425 *
+## umid50 0.152300 0.096746 1.5742 0.1154352
+## umid62,5 0.246080 0.100275 2.4541 0.0141256 *
+## K30 0.311661 0.104125 2.9931 0.0027612 **
+## K60 0.349970 0.106846 3.2755 0.0010548 **
+## K120 0.373657 0.108688 3.4379 0.0005863 ***
+## K180 0.290233 0.102751 2.8246 0.0047334 **
+## umid50:K30 0.071910 0.123768 0.5810 0.5612386
+## umid62,5:K30 -0.122097 0.124603 -0.9799 0.3271400
+## umid50:K60 0.188280 0.125152 1.5044 0.1324761
+## umid62,5:K60 0.122069 0.121317 1.0062 0.3143177
+## umid50:K120 0.169663 0.124092 1.3672 0.1715518
+## umid62,5:K120 0.134661 0.123612 1.0894 0.2759844
+## umid50:K180 0.345239 0.133922 2.5779 0.0099397 **
+## umid62,5:K180 0.225538 0.125683 1.7945 0.0727326 .
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
+##
+## -2 log L: 518.6533</code></pre>
+<pre class="r"><code>## o número de grão por parcela
+summary(m2P.ng)</code></pre>
+<pre><code>##
+## Call:
+## glm(formula = f2.ng, family = poisson, data = soja)
+##
+## Deviance Residuals:
+## Min 1Q Median 3Q Max
+## -2.6297 -1.0707 -0.0873 0.7428 3.2810
+##
+## Coefficients:
+## Estimate Std. Error z value Pr(>|z|)
+## (Intercept) 4.80196 0.04477 107.254 < 2e-16 ***
+## blocII -0.01939 0.02655 -0.730 0.465260
+## blocIII -0.03663 0.02667 -1.373 0.169673
+## blocIV -0.10559 0.02715 -3.889 0.000101 ***
+## blocV -0.09313 0.02788 -3.340 0.000837 ***
+## umid50 0.13245 0.05692 2.327 0.019968 *
+## umid62,5 0.18548 0.05623 3.299 0.000972 ***
+## K30 0.29799 0.05486 5.432 5.56e-08 ***
+## K60 0.34434 0.05432 6.339 2.32e-10 ***
+## K120 0.36493 0.05409 6.746 1.52e-11 ***
+## K180 0.29542 0.05489 5.383 7.35e-08 ***
+## umid50:K30 0.04344 0.07482 0.581 0.561495
+## umid62,5:K30 -0.13669 0.07527 -1.816 0.069349 .
+## umid50:K60 0.11559 0.07361 1.570 0.116354
+## umid62,5:K60 0.09174 0.07289 1.259 0.208190
+## umid50:K120 0.11860 0.07329 1.618 0.105637
+## umid62,5:K120 0.16266 0.07367 2.208 0.027242 *
+## umid50:K180 0.28832 0.07327 3.935 8.33e-05 ***
+## umid62,5:K180 0.21569 0.07285 2.961 0.003071 **
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
+##
+## (Dispersion parameter for poisson family taken to be 1)
+##
+## Null deviance: 761.43 on 73 degrees of freedom
+## Residual deviance: 124.72 on 55 degrees of freedom
+## AIC: 681.34
+##
+## Number of Fisher Scoring iterations: 4</code></pre>
+<pre class="r"><code>summary(m2C.ng)</code></pre>
+<pre><code>## Maximum likelihood estimation
+##
+## Call:
+## bbmle::mle2(minuslogl = llcmp, start = start, data = list(y = y,
+## X = X, offset = off, sumto = sumto), vecpar = TRUE)
+##
+## Coefficients:
+## Estimate Std. Error z value Pr(z)
+## phi -0.517896 0.164787 -3.1428 0.0016732 **
+## (Intercept) 2.859182 0.473115 6.0433 1.510e-09 ***
+## blocII -0.011573 0.020603 -0.5617 0.5743000
+## blocIII -0.021861 0.020915 -1.0452 0.2959233
+## blocIV -0.063028 0.023386 -2.6951 0.0070365 **
+## blocV -0.055592 0.023392 -2.3765 0.0174766 *
+## umid50 0.079129 0.045862 1.7254 0.0844633 .
+## umid62,5 0.110803 0.047094 2.3528 0.0186316 *
+## K30 0.177988 0.051448 3.4596 0.0005411 ***
+## K60 0.205658 0.053825 3.8209 0.0001330 ***
+## K120 0.217953 0.054973 3.9647 7.348e-05 ***
+## K180 0.176455 0.051325 3.4380 0.0005861 ***
+## umid50:K30 0.025872 0.057975 0.4463 0.6554086
+## umid62,5:K30 -0.081673 0.059681 -1.3685 0.1711582
+## umid50:K60 0.068923 0.058007 1.1882 0.2347640
+## umid62,5:K60 0.054660 0.057046 0.9582 0.3379736
+## umid50:K120 0.070709 0.057822 1.2229 0.2213771
+## umid62,5:K120 0.096967 0.059122 1.6401 0.1009777
+## umid50:K180 0.172004 0.063282 2.7180 0.0065670 **
+## umid62,5:K180 0.128635 0.060140 2.1389 0.0324408 *
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
+##
+## -2 log L: 631.2897</code></pre>
+<pre class="r"><code>## o número de grão por vagem
+summary(m1P.gpv)</code></pre>
+<pre><code>##
+## Call:
+## glm(formula = f1.gpv, family = poisson, data = soja)
+##
+## Deviance Residuals:
+## Min 1Q Median 3Q Max
+## -1.60825 -0.36054 0.04036 0.41699 1.25361
+##
+## Coefficients:
+## Estimate Std. Error z value Pr(>|z|)
+## (Intercept) 0.855552 0.031241 27.385 <2e-16 ***
+## blocII 0.011126 0.026566 0.419 0.675
+## blocIII 0.036245 0.026683 1.358 0.174
+## blocIV 0.018896 0.027174 0.695 0.487
+## blocV 0.012659 0.027784 0.456 0.649
+## umid50 -0.026632 0.021695 -1.228 0.220
+## umid62,5 -0.026250 0.021865 -1.201 0.230
+## K30 0.007448 0.030216 0.247 0.805
+## K60 0.012552 0.029286 0.429 0.668
+## K120 0.039757 0.029467 1.349 0.177
+## K180 0.041632 0.028944 1.438 0.150
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
+##
+## (Dispersion parameter for poisson family taken to be 1)
+##
+## Null deviance: 34.238 on 73 degrees of freedom
+## Residual deviance: 26.634 on 63 degrees of freedom
+## AIC: 567.25
+##
+## Number of Fisher Scoring iterations: 3</code></pre>
+<pre class="r"><code>summary(m1C.gpv)</code></pre>
+<pre><code>## Maximum likelihood estimation
+##
+## Call:
+## bbmle::mle2(minuslogl = llcmp, start = start, data = list(y = y,
+## X = X, offset = off, sumto = sumto), vecpar = TRUE)
+##
+## Coefficients:
+## Estimate Std. Error z value Pr(z)
+## phi 0.2687369 0.0740709 3.6281 0.0002855 ***
+## (Intercept) 2.3181295 0.4609397 5.0291 4.927e-07 ***
+## blocII 0.0060163 0.0304179 0.1978 0.8432099
+## blocIII 0.0253652 0.0306999 0.8262 0.4086741
+## blocIV -0.0115586 0.0325485 -0.3551 0.7224998
+## blocV -0.0158195 0.0330418 -0.4788 0.6321009
+## umid50 0.0510988 0.0348517 1.4662 0.1425998
+## umid62,5 0.0524112 0.0352500 1.4868 0.1370560
+## K30 0.0894600 0.0430913 2.0761 0.0378886 *
+## K60 0.1403132 0.0523141 2.6821 0.0073155 **
+## K120 0.1802570 0.0556233 3.2407 0.0011925 **
+## K180 0.1879750 0.0566969 3.3154 0.0009150 ***
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
+##
+## -2 log L: 532.1893</code></pre>
+</div>
+<div id="avaliando-modelo-proposto-1" class="section level2">
+<h2>Avaliando modelo proposto</h2>
+<pre class="r"><code>## Um dos problemas computacionais do modelo COM-Poisson é a obtenção da
+## constante de normalização Z. Assim uma visualização pós ajuste para
+## verificar se o ajuste proporcionou uma densidade válida se faz
+## necessária
+
+par(mfrow = c(1, 3))
+
+## No modelo para o número de vagens viáveis
+convergencez(m2C.nv)
+
+## No modelo para o número de grão por parcela
+convergencez(m2C.ng)
+
+## No modelo para o número de grão por vagem
+convergencez(m1C.gpv)</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>## Dado que o modelo COM-Poisson leva as mesmas estimativas pontuais que
+## o modelo Poisson a análise de diagnóstico padrão pode ser utilizada
+
+## Avaliação do modelo para o número de vagens viáveis
+par(mfrow = c(2, 2))
+plot(m2P.nv)</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>## Avaliação do modelo para o número de grão por parcela
+par(mfrow = c(2, 2))
+plot(m2P.ng)</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>## Avaliação do modelo para o número de grão por vagem
+par(mfrow = c(2, 2))
+plot(m1P.gpv)</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>## Testando a nulidade do parâmetro phi
+
+##-------------------------------------------
+## No modelo para o número de vagens viáveis
+
+## Usando o ajuste Poisson
+trv <- 2 * (logLik(m2C.nv) - logLik(m2P.nv))
+attributes(trv) <- NULL
+round(c(trv, pchisq(trv, 1, lower = FALSE)), digits = 5)</code></pre>
+<pre><code>## [1] 0.57970 0.44643</code></pre>
+<pre class="r"><code>## Reajustando o COM-Poisson para phi = 0 (ou equivalente nu = 1)
+m2Cfixed.nv <- cmp(f2.nv, data = soja, fixed = list("phi" = 0),
+ sumto = 300)
+anova(m2C.nv, m2Cfixed.nv)</code></pre>
+<pre><code>## Likelihood Ratio Tests
+## Model 1: m2C.nv, [llcmp]: phi+(Intercept)+blocII+blocIII+
+## blocIV+blocV+umid50+umid62,5+K30+K60+K120+K180+
+## umid50:K30+umid62,5:K30+umid50:K60+umid62,5:K60+
+## umid50:K120+umid62,5:K120+umid50:K180+umid62,5:K180
+## Model 2: m2Cfixed.nv, [llcmp]: (Intercept)+blocII+blocIII+
+## blocIV+blocV+umid50+umid62,5+K30+K60+K120+K180+
+## umid50:K30+umid62,5:K30+umid50:K60+umid62,5:K60+
+## umid50:K120+umid62,5:K120+umid50:K180+umid62,5:K180
+## Tot Df Deviance Chisq Df Pr(>Chisq)
+## 1 20 518.65
+## 2 19 519.23 0.5797 1 0.4464</code></pre>
+<pre class="r"><code>##-------------------------------------------
+## No modelo para o número de grão por parcela
+
+## Usando o ajuste Poisson
+trv <- 2 * (logLik(m2C.ng) - logLik(m2P.ng))
+attributes(trv) <- NULL
+round(c(trv, pchisq(trv, 1, lower = FALSE)), digits = 5)</code></pre>
+<pre><code>## [1] 12.04879 0.00052</code></pre>
+<pre class="r"><code>## Reajustando o COM-Poisson para phi = 0 (ou equivalente nu = 1)
+m2Cfixed.ng <- cmp(f2.ng, data = soja, fixed = list("phi" = 0),
+ sumto = 700)
+anova(m2C.ng, m2Cfixed.ng)</code></pre>
+<pre><code>## Likelihood Ratio Tests
+## Model 1: m2C.ng, [llcmp]: phi+(Intercept)+blocII+blocIII+
+## blocIV+blocV+umid50+umid62,5+K30+K60+K120+K180+
+## umid50:K30+umid62,5:K30+umid50:K60+umid62,5:K60+
+## umid50:K120+umid62,5:K120+umid50:K180+umid62,5:K180
+## Model 2: m2Cfixed.ng, [llcmp]: (Intercept)+blocII+blocIII+
+## blocIV+blocV+umid50+umid62,5+K30+K60+K120+K180+
+## umid50:K30+umid62,5:K30+umid50:K60+umid62,5:K60+
+## umid50:K120+umid62,5:K120+umid50:K180+umid62,5:K180
+## Tot Df Deviance Chisq Df Pr(>Chisq)
+## 1 20 631.29
+## 2 19 643.34 12.049 1 0.0005183 ***
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="r"><code>##-------------------------------------------
+## No modelo para o número de grão por vagem
+
+## Usando o ajuste Poisson
+trv <- 2 * (logLik(m1C.gpv) - logLik(m1P.gpv))
+attributes(trv) <- NULL
+round(c(trv, pchisq(trv, 1, lower = FALSE)), digits = 5)</code></pre>
+<pre><code>## [1] 13.06333 0.00030</code></pre>
+<pre class="r"><code>## Reajustando o COM-Poisson para phi = 0 (ou equivalente nu = 1)
+m1Cfixed.gpv <- cmp(f1.gpv, data = soja, fixed = list("phi" = 0),
+ sumto = 350)
+anova(m1C.gpv, m1Cfixed.gpv)</code></pre>
+<pre><code>## Likelihood Ratio Tests
+## Model 1: m1C.gpv, [llcmp]: phi+(Intercept)+blocII+blocIII+
+## blocIV+blocV+umid50+umid62,5+K30+K60+K120+K180
+## Model 2: m1Cfixed.gpv, [llcmp]: (Intercept)+blocII+blocIII+
+## blocIV+blocV+umid50+umid62,5+K30+K60+K120+K180
+## Tot Df Deviance Chisq Df Pr(>Chisq)
+## 1 12 532.19
+## 2 11 545.25 13.063 1 0.0003011 ***
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="r"><code>##-------------------------------------------
+## Via perfis de log-verossimilhança
+perf.nv <- profile(m2C.nv, which = "phi")</code></pre>
+<pre><code>## Warning in onestep(step): Error encountered in profile: Error in optim(par = structure(c(4.49870697260928, -0.0332608749877799, :
+## initial value in 'vmmin' is not finite</code></pre>
+<pre><code>## Warning in onestep(step - 1 + dstep): Error encountered in profile: Error in optim(par = structure(c(4.49870697260928, -0.0332608749877799, :
+## initial value in 'vmmin' is not finite</code></pre>
+<pre class="r"><code>perf.ng <- profile(m2C.ng, which = "phi")</code></pre>
+<pre><code>## Warning in onestep(step): Error encountered in profile: Error in optim(par = structure(c(2.85918209769605, -0.0115732234418501, :
+## initial value in 'vmmin' is not finite</code></pre>
+<pre><code>## Warning in onestep(step - 1 + dstep): Error encountered in profile: Error in optim(par = structure(c(2.85918209769605, -0.0115732234418501, :
+## initial value in 'vmmin' is not finite</code></pre>
+<pre class="r"><code>perf.gpv <- profile(m1C.gpv, which = "phi")</code></pre>
+<pre><code>## Warning in onestep(step): Error encountered in profile: Error in optim(par = structure(c(2.31812952440581, 0.00601634110167321, :
+## initial value in 'vmmin' is not finite</code></pre>
+<pre><code>## Warning in onestep(step - 1 + dstep): Error encountered in profile: Error in optim(par = structure(c(2.31812952440581, 0.00601634110167321, :
+## initial value in 'vmmin' is not finite</code></pre>
+<pre class="r"><code>par(mfrow = c(1, 3))
+plot(perf.nv)
+plot(perf.ng)
+plot(perf.gpv)</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>confint(perf.nv)</code></pre>
+<pre><code>## 2.5 % 97.5 %
+## -0.2138722 0.4352045</code></pre>
+<pre class="r"><code>confint(perf.ng)</code></pre>
+<pre><code>## 2.5 % 97.5 %
+## -0.8644610 -0.2164388</code></pre>
+<pre class="r"><code>confint(perf.gpv)</code></pre>
+<pre><code>## 2.5 % 97.5 %
+## 0.1235600 0.4136233</code></pre>
+<pre class="r"><code>## Verificando a matriz de variâncias e covariâncias
+
+##-------------------------------------------
+## No modelo para o número de vagens viáveis
+Vcov.nv <- vcov(m2C.nv)
+Corr <- cov2cor(Vcov.nv)
+
+corrplot.mixed(Corr, lower = "number", upper = "ellipse",
+ diag = "l", tl.pos = "lt", tl.col = "black",
+ tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])</code></pre>
+<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAJYCAMAAACtqHJCAAADAFBMVEUAAAABAQECAgIDAwMEBAQFBQUGBgYHBwcICAgJCQkKCgoLCwsMDAwNDQ0ODg4PDw8QEBARERESEhITExMUFBQVFRUWFhYXFxcYGBgZGRkaGhobGxscHBwdHR0eHh4fHx8gICAhISEiIiIjIyMkJCQlJSUmJiYnJycoKCgpKSkqKiorKyssLCwtLS0uLi4vLy8wMDAxMTEyMjIzMzM0NDQ1NTU2NjY3Nzc4ODg5OTk6Ojo7Ozs8PDw9PT0+Pj4/Pz9AQEBBQUFCQkJDQ0NERERFRUVGRkZHR0dISEhJSUlKSkpLS0tMTExNTU1OTk5PT09QUFBRUVFSUlJTU1NUVFRVVVVWVlZXV1dYWFhZWVlaWlpbW1tcXFxdXV1eXl5fX19gYGBhYWFiYmJjY2NkZGRlZWVmZmZnZ2doaGhpaWlqampra2tsbGxtbW1ubm5vb29wcHBxcXFycnJzc3N0dHR1dXV2dnZ3d3d4eHh5eXl6enp7e3t8fHx9fX1+fn5/f3+AgICBgYGCgoKDg4OEhISFhYWGhoaHh4eIiIiJiYmKioqLi4uMjIyNjY2Ojo6Pj4+QkJCRkZGSkpKTk5OUlJSVlZWWlpaXl5eYmJiZmZmampqbm5ucnJydnZ2enp6fn5+goKChoaGioqKjo6OkpKSlpaWmpqanp6eoqKipqamqqqqrq6usrKytra2urq6vr6+wsLCxsbGysrKzs7O0tLS1tbW2tra3t7e4uLi5ubm6urq7u7u8vLy9vb2+vr6/v7/AwMDBwcHCwsLDw8PExMTFxcXGxsbHx8fIyMjJycnKysrLy8vMzMzNzc3Ozs7Pz8/Q0NDR0dHS0tLT09PU1NTV1dXW1tbX19fY2NjZ2dna2trb29vc3Nzd3d3e3t7f39/g4ODh4eHi4uLj4+Pk5OTl5eXm5ubn5+fo6Ojp6enq6urr6+vs7Ozt7e3u7u7v7+/w8PDx8fHy8vLz8/P09PT19fX29vb39/f4+Pj5+fn6+vr7+/v8/Pz9/f3+/v7////isF19AAAACXBIWXMAAA9hAAAPYQGoP6dpAAAgAElEQVR4nOy9B3hbx5nvzd182d1nb3afL7t7k71778abvYG/OHa8TizFJXEcx3FZO45jxo7jJhfZju24Q5ViUaV6l6BKFYpqVKNI9YIDgk2gIEICRcoUKRKUIIlFFEGRYAXOfDNz+pl3KIJmE4X3eSxL72DmDIDzw5nyvv+JQVGLWtS4FjPYHYha1IayRQGJWtS6sSggUYtaNxYFJGpR68aigEQtat1YFJCoRa0biwIStT63prKSa+F+rjFQFgUkan1slb+J+et//Nv/NbGzH2sMnEUBiVof23Mpl0WEbuye3I81Bs6igEStjy1Z/v+ifqwxcBYFJGp9bJO76P+a3uzHGgNnUUCi1sdW9LO3x8Z9+vx3d/VjjYGzKCBR62sLbk78cIKtpl9rDJhFAbntLOIl1d6twXYWRPb6a5cjvsRAWBSQ28wiXlKNuMKNcc/Pb0eovue3lueJT1qFv/3Wkw09rjFwFgXkNrOIl1QjrvDa/4578YmrkQDyxxPC+Du/7Lgwrcc1Bs6igNxmFvGSajcV4LHX/1uE0IXf+0BA4BqzEVr6H/gJtaqnfRpAiwJym1nES6rcCryx17804z+aPz3B3lq8Glax4d9/gy8T19M+DaBFAbnNLOIlVW4F3tjr/SQCQOdf2FuLVyPjoX9+xPVb22djetqnAbQoILebRbykyqvAG3s1px8i/wt92uMa6NKJLlQ0flWo550aMIsCcjtac4TrRUHPFZFxDq8dc55FAbnNrHnWshs5fxcztqevP4vn1M5/+cb/ePqaueRmgzUH44m8xuBbFJDbzP74w09GPZ9atXpHD1/vwOOlX8xsF4vYGTRn7NUlWccXbGOR1xh0iwIybA1eUv1OAwq8iP+/vIcVxFEt6CkyvlrKuYx5x1z8foxs8OvZHfOb1RhUG4p9ilofGG9J1YIdn+H/T+xpheKnT6acxj/+75gr8HbM52RcIlbNVODumPNrDL5FARmmxltSnRzXivBjoubJnlZAxff/6z899/R39pj9vB3za89J/9/L9Im3Y86vMfgWBWSYGm9JNew5hf+s/zirpxVwFef0L+dXMW7ujjn7Utm4O+bcGoNvUUCGqXGWVMO18l+Ofe0KnB1zfgXejnk3NQbfooAMU+MsqYbkEdS1O8wbGxFX4OyY8yvwdsy7qTH4FgVkuBpnSfVfLpE/b4y8j1mvirQCb8ecfwXejnk3NQbdooAMZwN2zN2PBxBqf/zOWuDl4I55txUgi7hCL2oMnEUBGabG3TEverGjK/Z7F83ubnbM4QqqMfvfN6vQixqDZ1FAhqnxdszrUN6Ho797Hpl/rbk75rwK3P1vboVe1Bh8iwIyTI23Y74AoaPfPUOXXA3G3THnVuDtf/Mq9KLGELAoIMPUeDvm3/jfd9zx7Tvu+Le/Nlfg7ZhzK/D2v7kVelFj8C0KyDA13o7547Y1xGy/Ympwdsy5FXj73/wrRF5j8C0KyDA13o75Ifn/+4Eq4I45vwLz0pteIfIag27DBpDWPePembSeWYK5Xa273enjDQg1HB/wCr2oMQRsuACy9Qf3vTR21EP//nHzYPdkaFh3u9PfS0Uo9XsDXqEXNYaADRNA5iRKz45Q5uj6Qe7KELFudqeD+P4UgwNfoRc1Bt+GByD12QhVkr90otYhFvEmDpJcYHe702Cf+r9CL2oMvg0PQIg9j/8LvzLYvdBbx39dR+7/iPnevkG5Orw73U2f+r9CL2oMug0TQK5MnP/jpUuXTv33we6I3rpi6tHIVyrrFmYPwsU5u9P8PvV/hV7UGHwbJoCEX4/93vPPP//SkDphQsRf/Lfb8F9mDMLFObvT/D71f4Ve1Bh8GyaAYDsw2B1gjPwyPk5CuwdDrYOzO83vU/9X6EWNwbfhAwiq2OEf7C4YreMf3vrkl/MQavndIFycszvN71P/V+hFjcG34QNI5jf/8z+ShmBKGrqRGOFRMn1i3e9OA33q/wq9qDH4NnwAuXstQumZg90LyFbPaR2U63a3Ow32qf8r9KLGINvwAYRuz7KCyUPAin9xf8lgXLe73WmwT/1foRc1BtmGDyBvkCCTZ/B/xYPdE9YuThmMq3a/Ow30qf8r9KLGINvwASTlj+k75t+9Y8e2Fwfh4t2ecxnpcZZ9ZBH3qf8rDMnPqXsbPoDcc/cD1Eb+04BfmqfaGflxloPYp/6vMCQ/p5vZUOxT72yJ8pfUAb80T7Uz8uMsB7FP/V9hSH5ON7Oh2Kfemfu+D5DvyKBcmqfa2d1xlv1tEfep/ysMyc/pZjYU+9Q7ey5tLkLjB+XSvJOT+MdZ9r9F3Kf+rzAkP6eb2VDsU+9sCflhenpQLs07OYl/nOUQ7FP/VxiSn9PNbCj2qXe2XJyFcn88ONfmqHbyj7McAIu4T/1fYUh+Tjex4QNI9iP3PfxN4NykATJewg94/uUAWcR96v8KQ/Jz6s6GDyAof8J76X3yGZ+L8PW8hB++mmf/W8R96v8KQ/JzuqkNH0D2peGfp0i2murk/zMJoCPyI7syL+Gnm/Mv+90i7lP/VxiSn9NNbfgA8nAZ/qPHpxsjmr5DjUnTeXHMs5vaI2iIl/Bz0/Mv+9Ei7lP/VxiSn9NNbfgA8hr5I5KMApK+cwckeHkatW99JYk5jJVr3IQf7vmX/W8R96n/KwzJz+mmNnwAice/Ta57I6igpO88ApaWTXjFLMLJm5vwE35451/2v0Xcp/6vMCQ/p5va8AGk8qnPX/6bdayfO9XYJP9/LdRa85oRf/Ubk+8mcxMo4Ydz/uWAWcR96v8KQ/Jz4tvwAQRVTvsAykvnTjW4BcdR0Qf/8L+nXjL7bzo3YU6OvYl/ICziPvV/hSH5OfFs+ADyv5bBfu5Ug1vw2MiYX+0wR5wi/tzkzGjJ3r6rZ/5eGTdQHC6IuE/9X2FgPqe+tuEDyOtkALSN9XOnGtyCv/vwLP8ywNyk+qdxk+56bdJH9yb0zN8L4wWKcwsi7lP/VxiIz6nvbfgAMvneMUkJD7J+7lSDW6DINkEKmdDcBI/J0K9FhK4m9dAfufECxfkFEfep/ysMwOfU9zZ8AHnwT/BDOvI5CK+ANzch9iX54+c990dovEBxfkFv+tT/Ffr7c+p7Gz6A0IEPMM2LfA7CK+DNTYgtbEIo+wc990dovEBxfkFv+tT/Ffr7c+p7Gz6A8BKmIp+D8Aq6m5vU/OLFR7+xuuf+CI0XKM4v6E2f+r9Cf39OfW/DBxBewpSiVsZIZkVcAGyyaFa3brYrEn+ExgkU76agN33q/wr9/Tn1uQ0fQLpJmOLGMUZc0H1EpNBzP2/VtlvZD57ux7VuwmIi6NNAVehFjcGz4QNINwlT3DjGiAtgvzi10ZaUlJTwUA/93MVZ7mouV/fD88QnrcLffutJJssi4j71f4Ve1Bh8Gz6AdJMwxY1jjLgA9offr33leWANjefnLs5yF225uh9/PCGMv/PLjgvTvnaf+r9CL2oMvg0fQCpJwlQHWMSNY4y4gFshi4RrA2tosJ+3OMtdtOXqfsxGaOl/4AfOqq/dpwGp0Isag2y3KCAC6+rmCDZeHGPkBdwK1Jw99fMWZ7mLtlzdD6vY8O+/wbW4uUY97tPAVehFjcGzWwwQ3mj1JkewceIYe1HA87dunDlzxqM99fMWZ7mLtlzdj4yH/vkR129tn4352n0akAq9qDHIdosBwh3FdnsEW2j+w8/s7ZMCboVn/+cLL7/8co/9vMVZnp+v+3HpRBcqGr8q9PX7NBAVelFjkO0WAwTxR6vdHME2/f/GL3pld18UcCvccQO+NM+PrRnW9+g7eY+I+9T/FXrzOQ2u3XqAULNH5H+JJELb+qKAW+F1Iumf21N/86xlN3L+Lsa8XnxzeQ9HJAWR9WlAKvSixiDbrQfItdl/+cuH9/Tcj20x+WNWXxRwK/h/M3fu7F/31P/HH34y6vnUqtU7jO5uBEEk62COueQWRNynAanQixqDbLceII9ZPhs/Hggp4fmxJeAZ7tlH+6KAWyH2n3/7hxe+31P/dxpQgBxjYtq24SuIfD9Gtp4WRN6nAanQixqDbLceIBZO1ivPj8155zM/+0ZaXxRwK9xNjtfb2VO/BXP2Gf7/RJOfK+8xJ+MSseqeF0TcpwGp0Isag2y3HiCvkgVPIKyW5yd2fmbCib4p4PlfJWPoop76J8e1IjzfqHnSXMCT97j2nPR/ZgWNWxBxnwakQi9qDLLdWoBczcrKsr2dlbUXWBBcyfErJvRZAeRPfGzhwvmP99Qf9pzCf9Z/zC7G8eQ9ANdNCiLt04BU6EWNQbZbC5Cib/3obmJ3fYst+9H3QX9ZkmTM3mLEBdwKxEY88fzzz93RQ39YSeY91jN/Lwoi7tPAVOhFjUG2WwuQLkW5xLzSWofQfPJ/JsoPld/5DiyZEXEBtwKxzeQPYAwN+kNyN6/dIfbI34uCiPs0MBV6UWOQ7dYChFrFDj/j4+aXI1EZnZuHMxEXcCuoxqRe8fz/QvPab4y8L9wzfy8KIu7TwFXoRY3Bs1sPkMxv/ud/JJl/L7n55dQaxz49vr5PCnj+/Gex/ff/6anf/XgAofbH7zTrpvD8vSiIuE8DUaEXNQbbbj1A7l6LULr5t6Z7nd0X7pqV/Ay0Ox1xAc/vH7lw6byfsc8vnr/oxY6u2O9d7LG/FwUR92kAKvSixmDbrQcIHW2bg/YOyv/H4ACD8e80INTMTk96UcCtUIj/a5zQU38dyvtw9HfPM8pbPH8vCiLu04BU6EWNQbZbD5A3SGrEM/i/Ys1Xb21W/poJbOORV6NXgbYiLuBWoDayp348ZTr63TOaRN3N/L0oiLhPA1ehFzUGz249QFL+mL5j/t07dmx7Uec8/8isnCvhetf6p+cCVZzbRXTt7r4o4Pm/Wrhw4ZwX7+ipn0yZvg1MmXj+XhRE3KeBqNCLGoNttx4g99z9ALWR/6T3Bqd9L+YbMf/4frH55YISrPTs1y3gVsBW/J1nn39+FHs8AsevTJl+1UN/Lwoi7tNAVOhFjcG2Ww+QJcpfUo1+8fKZGmD+0fxhZRW2ytLCr1vArUAuvgXuLMevKG/t76G/FwUR92kgKvSixmDbrQdIpFbXZwXcClEbvjb8AYna7WD9dsZ6FJCo3frWMPf7Xf3UdBSQqN3yVvVcRkwUkKhFjWuXbndAuvKcHPNw/I5sToHA8Wc7eAW8lrgV+qwlboGDWxBpS9zORv4B8irwCrJ5LTkrla/9b/6Ksb//9rdHMPfHbQ9Im9AKW/Up0N3cmlOq/iMQ0JUE7c3y3260GKp85ZRfbXS3tuZ5pf+3mAuE64Z/Xrsh/6XCaXrhNbkDJzymgmCt1Bmh1lTQUksv5mPftnTNQvPbbm6U++TXO5vVv14SIC82d6GhnSb1TTp8er/65lpr7cYLqwWeE4aGGtS/OitMfZXeXOt1Y0utDU3yX3wlytcew9oHFy6weklRQHh6N1dOQd687y/KLad/C9htE6zWKatygnJR2E4+yvacZfHWMVPXFbSqdSqI6Exl5mqbbfOxKn3weD75uq4c3mCzrd/nbdUVCEqbSPSmjH05NvajVRfIv3x6Cc2qhS/fa7E8mlSN/+7y6grCJ2Y8e5dlxOtEz0sI6HtftfiFEZYf/SkTIb/xbfuW/fG/LPe8no2Q26Nzt2V+9ugPLSM/OklaUmKN63cnvhUb+1ZSliQ4VStIL81blWi1Jq44fl2p7HGr7dTtSHo99g/vJmfTJSGHmlRQsWnMH2Nj352TRz+VgKBWaMya+s4fYkdNPkA/Fa96vkdH9rz3YmNfHr9FCut0+nSdPZ387A8td8WuwVWCWkvo8q5Jf8LXmEezbi93BwgYsBUFJCJANsX8aw0FJHQwwSrbpIw2WkYBqZiiuvcrWg8YkPBxm2yppRoiBJA8pWCNU4360gDJ+zRWsVUdBkBK37UotsUAiLj/WaUgLmwAxDtaKUg0AlL8jlKwUQ9I68oHqfMHFssyFZDGlWqPRmWQ+10CpGiy8r6tWxul6iogNYvUKp9VIQ2QigTV//FXSAdI0+pXlILRhE0FkM4dbyr+FzaR+1YHyNHfKe/hsTIdIL5k9RpTm6KA9MIiAmR2TEwOIoC02aw6m05+xCkg5/TuKV9JtTAgJ22apavbghgQl65gjVdZc5cBaZweq7PETg2Q9mkWnR3RAVL1J13BRh0gN+L1NXSABBN1BX4NkOxf6/yZMiBn3tV3aWq7BIiYoX/fCadpfRkQMVNf481SBZDQZr0/1qkBUvCWvuCgCkjlJ3o/0RRWAbk8WtfXX95QAAmlYZTUGp8GewFIdQys6//1bfgBEv4kJmYzIoCIq6xGI587BqQ50eiWDjasyO1cY9Obcjfnl9ww+G0H5C9DAqT6z4ZbKHadCojvWYveftmlArLvp4YCUQXk3OP6gnc1QL56Ql+wVgGka5bhEr+RAMk29ih2ukgBcViB9y0B0jnHWGN0swRI50xTU+cUQDYzBRIgp0YZ/Qs0QPIeMHR2kQxIU7yxxuLIAdn7TswXXNHJr2dDEZCQ56rZ1XNAul6LiSG6axiQbKvZKiggh8xumn5VkVtp5MDmlB4V+SVuU8F2aSZCAfG9bbpTYmtkQEqN94PF4lQAWWIqqFAAOTLC4H9YBeSwsWCiDEjrOxajVRJATpt7FJtBAKlnPo7jSAYkNMVcYyMFREw2+z8NSYBsMBdYJUCKmWu7FUB2mfr6hARI06fmGpcjf4L0nw1FQJZ9S876DqsBBEZArmuDfDMgnS/GxCSQv+SWdyYwd8TkZgLILMaPp70YkNMmDmzHaZP5JfvNBdJBPQSQxveZOyJdAqTMzIdliQzILHNBgQzIXpP/JwogO00FEyRA2t80t2THgDQxyMaOasGA7GLetvW8DMgKpsZbYQLIdsYfm0cBOcIWnCOA1L3F+ONlQPaY+2ppIC11jmVq7IoCchP7kQzI+1MVjw6Q5i3PfVMTcTUBEnw2JuZ9ilVuuYe9IazbMSDNgP8CAaTIzIGNDhryS3YxBZlkDo8BEaeyd0oSBSTwK+aGmCwBspopOCkBctjs/7UMCHNvLaGAiJ8wLR3DgLB3e2zsgVohnMi+7WmdFJBcoEYlBqQa8M8hgFx+gy3YQgCZzvpjGykgeUxfLZdwS2gNW2FWFJCb2N0yILWNikcD5NDfP/uALiPDCEjwsZiYt6X1p9zy7QAI1mthey3gntmFASljOLCRZdv8kj1sAfndxYCYR/vEPqCA/Jm9IZIpINlswVUKSDHj/0gCpJApyKaArGRbOiPUN7wA9Gl6rXAV+jjsBJD2d4Ea+RiQGYD/HQIIxMEcDMgZwB97kgBS/xDbWfIEKQEqTIwCAtuSH6974457MBx32161PN6Asl5V5a80QC6eQe/HaMmEBkAIH2/I67O55UugO+JQ2F4H+Z0YkAaWg3VBAsgxtsB2nQAS/gj4ft8lgOxj7wdLKgHk2sOM/1G6itXCPnK2UUDqmBr3txNAzrJXuKdVqM+EbtLRtUIp9LanihiQDKiG4PBfgfyx+LYuh/yTMSAQOLFHCCDsw87yczIHGQdUmBQFhGN3v9Qsrv6bC+jutzvbLbOR+HySUmKYg/w5ZpT6dz0gLb+KiXlJWQ/PLZ8D3RHzw/ZWyD89XJGLNrEcHCOAnAUAOUAAOQndEJ9jQDofBQDxEkDGsv6pFJB4xn9fIwVkNFOQSPZBxD+yLb2NhHpg0Bcb+4daoRh621afxy1+ANUodPh3goDUCWgV5J/pdTWBFQ5hQAqAj+MLDAg7p8e2IAoIxx5Ix3/85w46xPrsL/jWSFJKTICMVv+uA6T5lzExseoJ47nlC6AbYly7vWsuVFCOATkBPinyS1oAv60BA7IE+n7nYEDYGSn+xRQxIF6g4DwB5DTrlzYKj7AFlwggR4GWMjAg70B9erFWKAcBsXvcFeBt7Xf4maUtYi83CggaksWmeF15YEsFGBBmNQHbIQzIMqhCRhQQjj1ADpT5Dz8FZHykgLQY+MCArAfviFp71z7In4UBCaawHDjIRuE+AJA8DMifoe/3EAbkdeCGWEw2Cj9j/X+moSbsc+L+KwSQrseZgmk01OQVtqVfdmJA/gD16d1aoQn8OLZ53PugCqNFh/89qODLgFAPcpDjdW0DCy47fVXAx/HzLgwISPPFKCAce2A+QjuSELprLwbkQ4TeTlBKbg5IEI+vXtT4wIAcB++Iy/YucLq6ksRiFbAcpIQwIJcBQDbj2xq8IRp9zgBwQ4xowIBABRUEkPOsfzWNxdrP+B9tJoD4gZbSEQ8QPElH7Oo2tvUe92qowmrk8L8KFawLCKWQ/5Wg1wW29L7o9AHLCZY0FBQaoApje7GT3n82tAD50TOfZopoxbdePovG/9ieddfDglxyU0Dan9bNP4jllteAgDTau9AawD+HANKZxoJwmcRiHQYIaRfAWewC5HPmADfEahKLlcH6FyECyELG/4cuCgg7OCELaG7PNral18IEEHD8sx8DwuyPEkvzuBdDFS5hQN6ECsoCArsRiW0R8rpSoII05PS9y3b22RAGBJzt50UB4dkDO3glNwOk6zkTH2QnfRlwQ8SHMCDQI2Q2jea9ynJwhgASXM8W1MNjjasYkO3sDRHbRQBJYu9qcoCzEHjB7H/4MiKANDMVqJiL25PIFDxAYkOEemht9rUABqRpEvC2D3jcK4EKC0ks1higYCIKwLe1HwOyB7p0AwbkN+zncZZE856HriBGAeFZDwF5I0bTNpQACb8RE/OW8ahwDAg0LU2l0bxH2YIVFBDELlidoOHuF1lAaoQWYL8snUTzpjH3w8/IZpnLy8w0HqfBhULjPea7ne4p+h0nzBUk/Vq35y/MJej+vVAPbHLHptBYLGjudc7j3su+/q1GAgiwh0djsVoBfyoJVjwLFGwlsVjMQvUPyHJMEPqFed3fm2je/rMhBcjIbbwSHSDTf/93MX/7+w3yvyRA3o+J+cika0GieYGtwvMUEDGFKdgvAYIKzRy4KCAAOTeE4Gzm+50iEkAOmW+IESQeHAPylsn/qBRTLlw1v146583vMI/Jpktv0+1hZvvS4QxCfesoplPvBSkgHezC9+SQx+1j71LyoTr8X7EFKTSaN5Hxj+kkgIjs8M5Ko3mfMneWnhYcFIAK5FuIAgJb6j+9yAgjytZ9sGJcTIzVrPtCAOlYaL4hVioJU8vNJZdlQNApEwdfSYAgr8m/EdoHGd+CCCA15vs9jzbh8k4w+p+Ucy6Ehh8a/A/JUY1+h2nDcZH87tyeRaZLyMpxQj06wNx0pXI+SH2S+V3nkJ308ebXUylwhx8lmQumdFFACsz+j0mOn9eF9psL3idJA06f1dRZ6RykoIDWmSvQtxEFJGLrFpBlMTHJTAFNmLoxz/SD2SgDgjo3Gks2IgUQVLHOAEKbDAiqNC4Cu0ioiekWSqLZVD6nadH28XNSCy5vpsH/fpN8SdMc5I9XZL/fUWbgRtFRxIAYN1R+flJpqR6Js0w3HXkaSQlTl6cZ37UtTAApM73eTlvCgNSYQg+nkOQyDIho2iGx0sxBDEhoorHggxpS4PQ5jD8Xu6W+YkCumxYCpCjUKCARW3eAZMbErGELpJTb9jT9/TDlqpJyi0dZOfG6kjlBDRB0Y6+OgwKkAIKa9DFZWzoJIIG/6L/erdI0CANSrg9Pj1M4cHk7n9bcD2gDSiGQrvnvW67OpvwO9LxW8KEm7ej2oA91V/hCzdIm4e6d8/Sdeq+U+OWU28BS/eexuFWK5j2sf/3HFVJLJJq31EDIJtovEot140u9f7mUq0mCFZsMBdOk7Eunz/CD8YJ8AZpRWKh//ReyWEMUkIitG0Aq//EfDgIFck46KtH2zVPJ96UAgr/pdLVkbTPSAYLQhXSFg6NhDRCEzm9T/Ok3pHD3Ji1jYk61/CoSi3VKnZeO1vb6XV504THlZ3ROo3Y9IRAeJ/t/Gn9J82NASpQov5d1/SOANL1O0mx/gEtePalriUz6xSPqPOS1TS3ULwOCRPd09V1nkW0jGu7uUucCb+1WUvNowtRV7RGZIN+9NNy9RdsCj1M+HpoP0q6FoXyRLw97MSDNdKGXdPbZDBV/mg+iJT++t18piQISsXUDyLKflUAFCiBIrMyYFx+ftGA/fdzrAMF3d25Kcnz8nG30q9cDglBN3q51KRsOkpJ8ffu1ebs2pGzcd04Od8d2ftVfRo16N2GPdoSNFO6+8uWRIx56c6lesIDEYjUt+e8RIx77PL1FfzUhgMSsUQ+MeOj9rQb5BhJq4o//9YiRL886b3h3JFgxtOftB0b84o0VlYaWpJz0dvts3Ku/zDqkZNArgOAP4NyuBUnxSbaj0pWkjMK2g1PeGTXq04UF2ocj56SXrbaOGvV2wib1fcgZhZc2jMNve9JW7epyyu3l7ePeHjXKukE7sp6Gux/96OcjRvxulirsgBTRho7DM94dNeqLpW7t0lFAIrY24SJsxa4q2NxFcAWfvQou8GRzLuE8ySkQKjgt8Tqb4+IU2Mtgf7GDUyEvn9enUthfwutTPrelYthfZudUcOVwChynYf8FXktnlbWaKCA9tXYhGza7/SRsTjdcwWHntCTwCuzcazsibYlbEGlLQp/1KeK3HfkHyOsstyWHMmaMAtJT6+INsc7lcQq8ZfJfakoKz/o1ER9liNV4rrC4Tr82LA2xWiq/umQY/ShDrHZ/WUWD8axlTRcLoeaSHMdXsoKQQRcLtZ46sCdPmqYbdLHwYMW1N+s8bdKoi4XaTu854CUDcpMuFmo+sevoOdJpgy4WQtXHD+TKOyraGbyhi/nCqcvyP9QhVrjmzMlzuoNUdLpY2C4XCQXyEppDd9h2Z7nruFteItDpYpFDWU7YlWt49cOna0VCfpkcGmfQxcIfSOHerCJSpNfFwt09e3SXIIkRRIdYEVtvAQkek+ak8cvpVOwAACAASURBVGkXZL+0UeiSIveStml3AQEkkEln4JtO6BkhgDQfW00KUo7qj2hXAQlmfE6nma8kUwkhHSCh/W/fS6an935Crq8HJLDyGTr3fiwDGQHp3PvG3aTgFztEIyChfaPuIgWPHjICUjbtEdrSHwjhKiBVK6SJ+jupVCNOBqQpS9oKSdiuLAXoAKlYIS1afXKE8KMB4pklhS1+epzQrAPkUoqU/v7eTrKOpQHSmC4t7r22mN7wekC6jrxF393P1okGQE5+cb/2JqKARGy9BKRME0qzrpVWjQggnes0d4qyQooBadAirpztaksYkOsb1IJdNWqBDEg4Q7eYvz6sB+TQk+ri5sj9ekBal2rrwFMNgGRq4e2z9ICImZoAVroOkCu6Tbg1KiANupXe18k9JwHi0i1tb5QkF1VALk7TqkwJaoBcmKD5J1zTAdKwQCv42K8B0pH2muofdRQZANmvpU2OFzVAykZpb2J+FJBeWO8AOW3YFUuk6yoEkFS9O17+XjEgenGGjcqiLQZE3KYrsOUqq5ESIAHjZuF8UQUk8KlFb6c0QIqf1Bfs0wCpMwTvntQAqdFnmNx/XQVkp0EPqEAGpNgobLJPBuSA4fOYTPcjFEAOGSJUJodlQMTdhpY+bFQBcRuu8V6jAshFo4zPER0g9Yb900wFkPAyw+eUFgUkcusVIEzQLjlcEANizs7eRecBFbn1xliSPHmgnl9ywViwQx6AUUDqDFuF9G6UATFHIL2gArLZWPCcCsjJBw0FVhUQlzHcb5sMSNckY0svS4C4TF2KPU0BKTS973iydCwBIpqlUA5LgIQWmfzJCiDmRPa5MiClZtEhvwrIaeObeFkGpP0DukGiw/92BKT+5i/prk6vAGHirYi0IgZkrdm9laBQkVtiirY6JM3J80vspoJN0u4CAaTZzEfsqKAEyKVHLCY7KwOywlxwRQbkgMn/KwUQs2BWkgRIx0fmlmoJIBVMkPGHIQxIc7z5fSfUyYCITOrrXyRA2OzzUgkQVujhCgWkigmVXKAA4vipsa93NdGW2pjsy823ISDlXx789TcWqKES4SvdvVh5iUM789wIiE44zgCIzo8B8TN8WBOaMCAdExg/iXECdLEO0GcIIPuzmUorEkDmMDdK7BFpo/BJ8/duWScBspEpKJQAYWKA7+PpYo2VdLHY/N1cDEgrIMKQhwHZz34ei0UJkN2xjFbQVQIIEDq/lAICqFXsIYA0s9d+pVUChJU78pOWwh8y/s9vP0CCjzQj279p/3594k2rkJckblX+pQPEKBynAWL0Y0AOsjeEdSsGhJXgpBKDFbnFZg5sFDhIOG63vJMOSa7NpoCw37tlGgXEzhZIyopn7jf7ZelRVhIkmaeLdRQDsgXo07xaQZwGvO+TFBAgrj3WhQG5xkbOx35AAAkAueQLCCDLgZbOUEDKf8Z0tga3hNawb+Ll2w+QabPwJ3GH9u/Y+TetQl5y7QfKcRwaICbhOBUQkx8DYpauplYftkOpuDM6MSCXGA5sZNk2v+QAW1CAuLpYnxJAgNxayxQCSN2DbMF5Akjgl4z/TxSQGrbGTgIIJJBSINQHgbs69oNa4Rr0ccwjgIS/AGo4MCCQRuMfiNybDSiYggGpBPyxxwggbc8wfR1B5iCQnMPtB4j4vRwKyPy7V1JFuIPf+/HzlU7bkt+59zw0+Y1/Q5Xxrz68D1GHIh5HX4Lu2yO3oAFiEo5TATH5MSDzoDtif9jeCPkdrLo7sZRmAoiLBcRWRwAphG6I0RiQ9l8AX/xyAsjnrP/eLgIIIJg1nwAijmILrhJdrN8Dl8BzkONQn16qFb6C3rb1CgbEAdUocPhhTYo6AdWC4o0YEDC9nehioZlsX98jgAAPWsvHtx0gl2OuUEDE70uKcOj5pajgERGl3Yf+dG/+ssqn2lBZmuxQxOOeJxLtL42TWzDMQfTCcfo5iN6PAQHlr+bhSTogUmudSoTjDrIcHCWAQKImWQQQ8xoPtY8wIDuA791yHANSBPjfJ6tYJ4GCUgIIILH1KtkHYZR8sT2BhHpgVhRLhOO8ICBODAgrH42tyuE/BLhfeKlRYI4+oLbS62p/BSrIwYBUAJ3dgQEBxFwslmW3HSBnvhGWhliKIhy++yfcN3vRnA/Q6DF4APY5eZHsUMTjKCBj35FbMAGiiTYYAdH8GJAV4B3Rbu9KhfznMSB+AIR6sg8CSC7iAiHISrvHSuLVfwK+93tvYECgX8xMAshrrP8PZKMQ0mg8SAABhBUt8zEgoFbXW7wnSLrHfRWq8EbI4WcTirF9gucgzIEFxI57Xacgf2wVBsScUojt/hYMCCN0T8xz2wFSE1OvATJeAuS9h2kR0Yb74E/kb7JDEY+jgIyaJLfQG0AywDui1t51BvJnklCT3SwHdrKTzhyMgC2Xp4uV5nM2Qt/7J8jlbQD8j3bhlkqBguMEEGAyExvGgFyCLuHHgLwE9SkRj73Aj2ODx30UqrAIOfzQBCt2RUCAFEZfiG3wunZBFd4KO311QF+XkFCTJ4CC34i3HSDiP7oQXcVSFOFemhZO/ya+IaupNtz+vynEr5EdingcfglCD62XW+gNIKBas/WKvSs0FfBTVZN6loO1XRiQrlS2IA3Bulix5bAuFt1J3w34d5FQk3ms/y0arPgG1BCsi2XBn6VQBwrH7awVxMnAu7ametxMXjixEgzIa1CBJyBAi16xM5DXtRYqWImcPlblxfLzFgwIpKN3W+6kv78BZf7yr5OnyIpwaOf/eaVj2T1Pjz+SdddD2xBKuef5sQUidSjiceQlnaF/vyY30BtAuhiJAmJEOO4E4KfCcZA6r58EK5oPnyLWJtRBN8QXsC4WURh1eVk1K8sbIqiLZRnpJ4DcYCuQ3SG3h1XYsjxwjcRisUfY4N/3WvgAHat1Lywcl0BisV4HCj4WOcJxJRgQSCco9iIGhNUosthJNG8J8Dk91XUbAlL83z1+qV4bK+tj5W+9AQRSv7ImEuE4cSkPkPBehoPTNNxdYAGpE1qgW8gF6mJZRvgJIKzEoCT3dv1upoBsXgK6WJLSnNvDbKJLwiZCfQLQp9kk1ARUXPV43NDehY8AAk018hD8BJlHghXTgYIlJBbraaav0xABxAMAUnhbBivOzerpK3WAtI5Wj1w2AKIXjtMDovcTQDpnsjfEFhru3sCezrZSygdp22LmoIACEmI3C2uFIKBiOINE85pjRuS71+VlhUTpVRldLItlBfH7HeYgE8tv6aa72/MpU2MWbakeOO3jjas0Fmsb+3HEtXncwCkHZHXd4QfImU6ieW+w/neaCCBFcAEgHPdnQnlQAHZBiGLWbQgISjPrVvFMJx53TAvG0gFiFI7TADH6aTSvj70jKqWEKVZ08bCck9682cRBoZwwlW4GpFkI5jA3xJ+bCCDsDHo5acPlZTY7JL0JgZm8z6N+FpDfSuE6bs9cc40vpdSr+iZW7vGgFM0bZOdee5DHzT4QFkv5IB6m4IMmGu7OCGmNIrpGXlcnq+ZLYgecvidMfX2bJhMEhTATPGAl7+J2BKSnxhGP62U+iNt8Q6xXMgpLzc+QOkW0oc20lFUhiza0m/ybkRAMfWa6H94meUg+J3rR9L1LSmkur2lyMuKYdE0hYNpoXif5/Q7TsSGj5LBft8ccf5IgRVYK9WiH+SZNQXK4+0VzuOKUFgyI+Lnp9YtoPL/DL5pBeI+E0GFA7GY+6JHrXhdixlj023H6TI+7TySdoKCAzHOyCfTSUUAitt5mFJoO8kxuVlNuL84wlOzSVE26cvQcrO1QVE3CTgMgHhKL5TPGdXxEcygwIPmGCO4R+6QWXN7mkfrb4SnlRhAChpSIh5U35XeEDDHB85RUFLcn/Ly+wJKmtFSPwqYzplLJ80BKmKoyrlsk+Gg0r+mYp03Sw97hR5eMT4QvqHALEY4zznPel7KbMSCmI2slcDAgxsN+VsujCQyI33i89UqpJApIxNbrnPQr+nOmFjbqZH9a9as6K7r0sj+XdBORYp3sT7Vu+LUnTKN5S/Rhe8ukRBESi7VaA+QHo5WEIZfXELGbrESaYUCCOgH0Sapilt+BsjT/s1qerduDynTRf2+UqS3hYWnHXF2f3pHSmOSU2wb97ul0khNGghX1W+YfK3I9JJq3RJ/csU5KsqTCcfrorcVyegwVjtMTkiQrITl94gdaX/+k9pWEmujjAZ4/LRdEAYnYei/aEC5UDo5JOkp+f3W6WDVb5QMB4g6EjbpY4vl09Tmh18UKlyq5hcc65YSpxiXK/TBPka6i0bwHlZ/+t7QeklisY7IQ3P1TdSH/QgBdlTff7x1brvlJqEmanEbx0n6dZAQJVjyvLA2Pzta1ROdtOcoe3ztb5XUOVTiuSNErjttN+aTh7l7l9Z8fUs8govkgauruKwsuyn4a7t6+XjldZ9ZX6idOUOzYrKzsTSlUCpw+1KZMvt4+qvWVJkydflYueSlLVZSLAhKxfQ1VEyRezt25Y8fhUunz1wvHobYzB3fs2F1Ih8RG4Th046zT4TxDEDAIx6HGYqfD4aa/8XJOesOx9StWbMjTdB6khKmQfV58/Nw9V3V1abh7e1ZyfPxip+EwExKsGD6B/fOOter90im3GyeOnb6tRu+XctJF15KxY2dn1ukL5Jx0sXTPsoWrdpaqSyOacByqyd+9Zev+YjnpXs4o/Grb0kVrDunlR+Sc9IbjKStWbD2hricqGYVNjnWLl2wq0Am7yCm3zbnk43Bc1wpouHvZ0vj45D2GvkoZhWLhMlyyq1pXEAUkYuuyu2HLETgF2e4zsBWdjLAlwckpsLtgfx6vJUc2r6UTnJZ4bzvbwWupAPbn81pyclvKh/0nIu9THux38VrKL5K/9iggPbVOgXO75zo4BQ53NWg++2m4Qj7vEkIup8BeBPsLeC1l5/Ba4tDssnMqOJ28lk7C/kJuS9m8llyw/ySvpRxeS0IB7C/iteRSJltRQHpqkQ+xcsthv2jv0P+z+cD8sZ/PIcNl0xCrbMP4T8dtIEMC4xCrI3fJ559OPkqG6ooulliVvS11i/28MkdQZX+aT+5JTd1dqGr6qKoml4VtqZsOlarjfUW0oevsvs2pO7IVtTdN9udawe7UrftOqgMdVdWkJjs9NfXAWVWkSNXFajixM3VTRpEyBNKGWDVHUhYs3JijKM6rsj83irJSU/e6leAeTRfrWoGhJVX2J3z++ObUrccrlbet6mJ1nNmfmpqerQ4KFdEG0Xdka2ra0XJlrqHK/nSVHdqcus1ZpQwIo0OsiK2fAKmKk2fAbwUMgHRsfkKeSqcbAbky7SdSwVNlCiDhPGXBOPGQtL4vA9KwSVkussmC/xIgonu27I/PVPRRKCDBfcopggvc0r0iA+JfrbSUKk9pZEDOLJL9E3bJK18yIOeXKgVp0rBfAeS0coLHqwukRQIZkKtqZ1fpjj/AVq6c9Dhhi6QgJgPScWSKshgmz6dkQJq2T1TehfzBSYCI+crnlHBQmmgpqiZHlcXnmdlSS1FAIrZ+AaRRt031YkgHyBFN3syyQwdI6xzN/6BfAqRhsW7hdCpdyJIAydXvym2h6FBAWvWiKonSyiYF5MIUXcFy+ktOAREP6/xWaa2HAtKuT2yJL5BaIoB0GYJK7No+SKs+w+uNA8QlAWLXV9hOb1MKSIf+FLtJTtKSBMhlfRjPbPrIkwAp0r/tdZQECkhgic4/hZ4oJAFSnawrmEt/AKKARGz9AYjTkBabqQLSMkbvH9mqAlJsOKz1SwpInSl8g9ymFJAjRv9cMjoigARNiY401oQAYkpoSiTLOhSQncaClWQ4RQDpXGws2EVuXwKI+Xy5LaIMiPHcm9hYEpdDABH3GCssITgTQNqXGAt2iDIglcY9+Xgp1ASZSMPoEPIJIA2mzykfyYCUG1tKIM+vKCCatQj0f2JFWbcv6wdAVlsM9rECiP9ZY8ERBRBTBOJ/tWNAWpOtJiuWACky+xd0UEDEleYCEm2CAak3JwIn1EiA5JorrAxJgGw0F5CAUHIE2zqggADSGRdrsoMSIIK5AjnjCgPCnnW6XwLkmrmz8RclQE6ZK8xto4B0MQIBbgkQpqWE6Cm3eqv/UOrA3juTjAWHfv2NBZs0KS0CiGifNXmlJh7dSo5uqdpzIHHzIdYf6so9H+5Sd550glkKIOZgv2dlQC783FSwVAbEHML+gzIMyA7z925NbCKAtLB579soIGZ1Q2wVFBBWg2VWFwEkwJ5uvo8CUsy2VEIBAbJdzlNAUs18xMZeIYDUsRUOUkBcUEsEEDabeWYnAaSJjZLeTgFhJZji6ykgbEuzbsd8EL5Vyh14J8lUQBIQNSktAoh9XH3z5ERp9aW9KGUcCQhfsfVIvHUM6z9qPYh/R+X4XINglgzIQtPtbnlaAuQqE5k9VwKEzQU8LQShNNZtBBBIk8uHAQnPYP3zwhiQKqDCYQJIJlBwhQAyn/VP7cKAdAGZg/NFDEgty0fsAgLIJraCtRED0gVkXs4TMSBQevtRAgiU5UykR1tZyq2rCSDQUfZHo4DorEruAMlNNxhJYdektDAg4hQbQlusOeSfX01Yu9i6Ft/ts4rzrlvHMn7kGH9oU3w8nQGbBLMkQFipkDcoIG2/YwrWUEBOMX5LlRCEOLA2+ZwilNS7HgMC3RDW0xgQKN0vvt3vABNlUzEgl6GWiHg1M8ohdh4Dsh4AJLbJ4w5CFTIxIKehgnMYkA2APynkdXUBHFg3Y0CARxEmBwOSBvgTu6KAaFYV43zmO38IUEByEhe/NCMkq2QxgFwkg5RsfHNga7yCBzcbsbvqXF61NZnxo7zj6hzEJJhFASkbydzuMykgk1kOsgkgN1htkXtDQhD4Fbdac3xOMHnPGnR5D0H+tRiQ2VDBSb8DbGliq9vDzBuILcWAgJotOzEgoASLw+P2QBWmig7/Fqhge0AITYQKvvK6yiD/pC6nD+zTnqAgMnLBxEqigGhWFbMdXfvhOAJI+Z0dqPX/LpBUslhAzlh3kwMNVsmenVaqS1qam2rdxfrzHfpJul4wiwASfonloIAAwop8Wu6lq1hABvi7SGgeC32/631O8J6znnZ5mYk1sQkh4TrY0ia/oxhs6YzbA6QHYmsT6oFBHB4Z1Qo1EB+xKR43oNmLrc7hnwP5ZwYESJoSz9+9ruNggc/pAyXK5gSFBrBCRhQQzapiRIRmPk0AmfkM/nf8w5JKFgtIgXUP5sG6RPbsJNM/hI7hr3d2mPHnrDyyIfmosserT1YngKSzt/ujRDhO/C1b8BnZBylj/ZY9SABmt+SL9znzwILDLi+zhkXtKqel2X7HSbBgv9uzHizwCfUgahNrYamF2Hke91awpbMOP/jzPva6AI4TrRu9rj1ggdvpmwL5xzYL1WCFNVFANKOT9OTxBJCEn+G/LnpGUsliAXGSO/+C7klBATmZje+5E4z/+MQjeHh7XPaZAAn9ir3d15Od9KOs33KKAPIl63+4nQfIFJ+zACzY7fIyJy9QK+f8lMb7HeA8wLrN7QFHLdazQt0YsKBGKAABmcMD5KTDHwcW1AvnQf9Kr2s3WJDr9EG62fghJVwE/UuigGhWGnMNtTxTR/SxCv4f/Lm8sldSydKvYpUlJ885Xuu2bsIPHKuSOodBwP7kbTluPMI2+vGfdcHcsi3WRbLPBAhzzIDF8lgHAeRttmA0CTW5DoCDr8cZYs3wOWFJrj0u706woFwIgL+xk/wO+Bba6vZkgQUlQj270ootrlaAZQ9XeNxwS6cdfnCwNua6AM+wUryuw2BBodO3FCyoF0CZZOvyKCCaFT5796uTr6Gsux4S0KZHZtl2ySpZREZrLf6PJKWl42H6cfGcdQVC58hWFTUMAvZbt+Sds1qzjX76/9zyq9YVss8ECHusBlFpqshtYv0jq+n5IGzBb7tILBaoj23zOW+AX7zd5YVHTDVCAFoYss7yO7rAn/Estwee5lwU6pdB/vm1HJW7Ax43uOxlrXb4mQ1HYjPwJH08VLDb6wIlK60XnD5w7DW+RRAhmWTrliggERseYgXHxYvIYa1GpwQyt6AgZOWfywuOsdaZ/XX5GJBqq5JpZwKEPakiERFA2CNeLGRFLL8kji0oRQSQLOj73e9zosVQwXmXtxnyx4WEACMvQSzV72D3y4m53Z5WiJwJnUI9+DO+p1YQzWejUbvscYM0T+xy+Jk9fGKbAwJaAxUUeV2tYEvtTh84KFscFBC4UJYTBSRiIxuFadbSrnnzxYDVSsJStpBBlSvBlVc6hvW3jnPnFi9bq0zS9YJZor2GudtfJnHnFbns0U+fk/Cm/BJWWHoXaUoIgus51RgQSLsxIeTygptyG5AQ6IT2OwoxIOCMuNntgVSurGuQUA9OjKpqBbQa4GM82SiEnhQbkcPfDDFYjAGBJkZxbV4XglYO1pOc9FlAwVHORqG1MQpIxEYA6dw+dc6mAAqvnNeCjq4fbx2//mTN/NSD66tZP9o25dCuQjm9wCiYJdoZKf7naLB5RS5zYtNrNAY3v8Qs4mNZSpsSggiYKi8lO+kh4I7IJKEmEFLnSagJsPCV0E5isYB5/Uaykw4diFNCQk0ABpeSUJPLACD0hCloLamKhJoAG+PJYQxIGFi23UV20oFT76wVJNQEGBBOaoJDTTBRUUAitr4MVjQ/QZ6X0qcrcs2rv6OkbI38kvdMBQulpjAgAVb/t5oGK1Yy/slBGs1rZwpW0Vgs0cYUZNNgReASNTRYMZvx22gsVoCdpvtpLNYGho+5UrAiC0IqjcVqY1efztFYLDYwJukGDVZkJxubpGhe9il1iMZi1TGdTaiPAhK59Wk0r/H42T/LSUsVuabTXBJkXYX8klXGgs1yUyTcnRld2+Vwd+aJcE4KdxfN0RVJASncvcX80FkVlsLdK8wtOaRoXnG7yZ/UIIW7M2toOXI07wQTH5+2SIB0mc8DntkqhbtfMm+FZMrh7jnmS5RK0bwh8xLBzKAESJt5PWNJlxTuXmxu6UQ0mrcX1qeALNHd7CM2KnmeFbmGowZG7lZq5JfU6eXNnlIUBaSEqXPGhZgsUU2YMn7vJ5GcMBU2hl0lkWQjmjDVtMhQsLRNySisMF0CKaomxn2HJCLMQxOmzhh/lonSDs0HaTZKJY4lj06aMNVunHbPItlaNGHKpDS3R8kHMRNCot5oPki7cSt0Dkl0pAlTN4zrFvOblYSpYmNL5B1HAYnY+hSQVk2U8JOLagEGxKcdlzle0wXOL9HFNt5n03R5pJTbet3PbyLNhJVTbi/qfjSTSQy+kpPu1t11KyQBIToLCh3Q34tk4UBOuW3STX4TaN6enHJbpJvaL6cZsVLKrV4ubxrN3pMyCjv1AYspNCVeyigM23Vxhmn0fUkpt406dBII5ErKbaXugTeT5tRKGYXhYzo6N9NceSnlNqSPQ0snEaNyyu1lXWen0rSgKCARW98mTAXj7iE3+0NTzusKSCzWZUkB8NE5VboCEotVIAWhPL8xoCtQRBtK10gbAzOPGHLSkeiRf04XF0jyDIpoQ7sgqbeNX1EiPb8U0YbGTGnUPzFNyj1XRRuqNkkrSlP3S7oNimhDR7b82FlTLLckgR0+s0aKKFyQIw0UlZx0/2rp/JBRq2VlCEW0oSlLuvSETbJClSLaULZeuvTM49LbVUQbQi453XBxoZR3o4g2NGZNp/64rfKvjyLaEJAvMWmb1LQi2iAWr5I+wHkO6XOKAhKx9XVGYYvr6JHKsKFAygepzz4qXDXWkPJByu2Hdepp1BRA8H1a5S0+16D8y6elZ3VWny6uUKupqib45jh/psSnaZFo3DWUFJdcUXrm19526PKZ4jJVk9StqZC2lp8pqWJVTVCHr+RMufq401RNxEtFrtMX1feuqprg9156pqRaFbRTVU1QV3WJt/SG8i9V1QS/iYrTxeXqh6CqmpCWiouvqKJ1CiCkcmlxiZ9RNcGdrcTvTv0QooBEbJ12B2x2boHAK8jnWFHELXEKhMj7FGlLEV/i1mpJUS2NAtJT6xJqYDuVwynIPg37r9iv3wCt2s1pKecUp0Cohv3FDk6FvJOcAnsl7D/Ha6nAxetTOew/b+dUOJHPa+kc7K/kfRWFuZwCRzHsr+b16SvlBIwoID21vhtiGbR59Vbn1v9LLJj233ff9ZsZV83CcXXrRv/8zp+8lh5Sh1ghz8bp48ZNXZ2jDBHkIZZYsXNunDV+6WFVpVoeYgXsK6aOGzd/q9ssHHchfd5Ya/yKw7WKXx5ideavm2odM2uTJCJMTB5iteesnjZ+bPL6E2qBMsSqP2abZB07b2uJPJZSh1ht2XM//OOLo6dmyi9Uhlg1BxdNsk6au7NMGRkpQyxf5uI4a9KCXeflAmWI1Xly/dSx46etcSojSGWI1SSsmWydOHNjoTLuk4dYzXbblLHjZmw+rXwByhCrWVg9Zcz4WWmFyucRHWJFbAMMSGi3cqreg8UGQC6qR0S91ykDclJLr90m3SsSIFe0VduV8myVAhI6qG4uTM6Wh+MUkPqlaoUV8s0p6WK51HWhSQdlSRZpmTdPbWnSIflulABp0jZbphfRG1sGJLRPO+Nzrabujpq0kK+Z8vRGAqRe1ayzLqDLYTIgYo7WqQxppiMB0rFP7VTScentUUC6DqnrZEmC5JcACR1UCxKOfg3hODH7LKfka1kUEMV0gJQ+p217PBHSAOlapNsPWUEBCRvC7SbTswAoIMbI1oP0h5wA0m7YMV8kqbYQQMoMmxcHaAUCiJiu98+oohUIICFDBPAM6WeaAlJuCOzaSH6YJUCuG4R//kIWsigglYYKafSXnAJi3FHZTW5sCkiHQRBoKu0UBaTBsCG4iD4Z6UbhUr1fEquhgAQN0ltzqV5pjwHxTJnxO+kDQcWjDoTQKvqKePgL7p1FAVFMBUQ0KmY5VBjqAAAAIABJREFUVUB8sXr/gyEMiGgOfCLTSwKIeYd9Pbm3iC6WKRI2qYq0TM4HMcVcrFX2QUwKdFbaTQKIOVrxDG2pnr328g4ZkLo/G3fS36mRAKk2XXuxIhxnjkrcEJYACZlDqMgPAwEkMN3on0pIwICETHv1SWRfiADSaUrrTyKLzD0FpPVnXSjlN/SvxU+Tp3fKrvr6uscbUR/aYALSQ9E4YgMISJdBWNFiWa4AcuoBY0EVBoQNMSyjgLQxCVAkPgUDwlRIkHbSRSZAPiVMAWGjG8muNQaETb4g7xgDwopTpYoUkLYvYk32ZYgAwoZcrQhTQNhAqV0SIPvM/ng/BUQ0x6xYZ0ihJky2OpHFI4Awai5J13oOyOa38WtjyAJ0eATdxNyHB5rpyzl3RO9sEAG5qWicSTiOmF48rmrVpMTN3jzWh39L/KsObdnRHF715EOj5JFpV3tIDLV3mQDRKcrJgLSb0wplXSyUZz6R9bQQbGXjAie3EEAA9ZJ8AkiIjWqf0UYAAXIQD1JAWGGchCsEEJHVQUm8QQEBMkiKKCBr2GjeLAIIoNpwjAIC5H3QYEUgkHh2FwEEyAfbgmBdrDmdBBAgOXFRuMeAJI7Fd8Rfk91e57+mPPVLqvzU/jvOD2AvbTCfIDcVjTMKxxHTi8etmLom3ro3j/WlIBQ/9vB666KVd/kaHvqZxNhyelOn6QExKspJgIQ+MWFgWSsBUsycWFwuBKGUoj0YEBFIwk5oxoBAubgZBBBIIOoKBqQTyMlYEMaAAEdckxhcob4WKJgWwoBAKYXvhj3uLiBJN74JAwJJb80iwnFQgqCDAALpoFzEgEA5+gcJIJAc2AkNkFYAkB+89NJYufjDOPzHP5IXT/8nj5j8L2TRZPJ+1Kc2mIDcVDTOINpATC8eJ85qQ41j0/JYXwLqnBzIPWH98sHXERproYpZaN3d948Ycf9+HSAmRTkJkGlmDOQ5SC2juHhPpxBkQ9St1rigz3kF8Fv3YUAgnURrIwYEUppbiwGBOLCewoAchQr8GBBQesuLAUkBAIk963GfgyocxICAekClGBAogX5K2OsCk9XTMCBQWuSkYBBuaYaoAtIe8z+/Y7JvPrVq1Ta5eMKn+I+/JZGVXz6HX/wNPDE796S6gd83NriA3EQ0jgFELx7XVYWBmLQvj/VtRtf24DnI5NEW/DheZ/mMVt28UmpJA8SkKEcBOcjwcV8bASTMJhW+gYSWCdAdccLnZKSriSWFXF4wzfsg4qia1PkdYOr5IgwImKy6AwOyBCrYWiuIoyFAtnvcYI5uMgZkKVSwLcCRWij3uvIhPxGOAxW2coNCAGypUgfID8wf+99P1m4g2+8RuvGvZL1v/tP4i/8fV5D4KG9O2lsbXEBuIhrHAGIUjxNbD6eX5LG+EBK7UG7Z+FctUxDab3mLFmxZJ73AMAfRK8oRQK6x6epf0n2QdYzfshXfjOD3m+Zzgtnc1kqOLtYsXktHebpY9W4PiFqSKNSDalazeMJxizxuc1qJZA0OP5QFTITjLoAVDnldWWCBz+kDW1oZ5Mj+HOwpIFe/ewPtxj+CadcqvxNERU+JaO1jfXh/UhtcQG4iGscAYhSPw6OMCfvzWN828puS67bGWabhuablJVqQOurZex5fHjIDoqk5EEDiWQ7oRmEjMwGxjGhFAjTct1rn8XSxsjlPEGsLR1lxpd9RAlYocHugSQtR0oF1scbXCh4QkNkeN/gsspY6/KDC6NjrAqgwSoTjoBkFFY6bDvkntXCE49b1FBC0881FiR2o/Y7DaPc7yybWo/pv70Z9bIM+Se9ONI4BxCged7Fiv3WjwPpIUhrKzZi7zoIncYWWt2nByntfeNBiWdktIH6Wjw9oqMk8tgCP2IQm8Pud4nOCw3rrXs4cxFrN0ead5nfAj5a9bs8BsKBMqB8H+cfwhOPwE4Sjh+jws7m+xOo5t/VK3hMkz+kDpYisDQKUV68XjrsZIGYLd/XxDGRwAbmpaJxuFUtIxmYSjytLTp648ahJUI4cLLMT/ylsadxj+ZzIsn9JvZUB1DXW8kK3gExnnxOXCCAdDzAFj7WTWCxQWm2az9kMfvG7XF5YOapMCLAHjWCL8zsQKEq41e05C7ZULNQzR/oQi+c9QbZ63ODMwepx+MHZzJjrAqjuY13rdcEPzkKnD/5dqBXCoOrX0l4D0g82mIDcTDROEY5D5Jx0/MFNNojH1YVJDMZGu9GHyCgrG6Hqw2dQNp5I4z/mqRcsw45uAAmxHBDs8kvs7AOEhFUIwXTw+/U5EXhvHXR5O8A7wicEwGFLIud8EGu629MJHTVgPS/Ug2OvxbXCVRCQIo8bFlCtcviZ7UBiMwICWggV7PS6YFXrCqcPnrXglsAh58YoIBGbPMTSi8dlkWPutqXmsL4J9ah2hrMcBe4aIaIUy2m0d22oimi+n7as6w6QYgYDugCWX8I+WZaRAiEICqJlcHSxrEUur/nAQcmahYAILfQswoCA61tH3B5wC8HaKNSD614HagXxXYCPN7s8brQAqDCh3eEHl5i34NuaVWbBdtLrQpCK+8QOpw/Y1cRP2qAAhANgOx4FJGJTNgp14nGuhAvh0gnOPNZXiALTxh7alJDwrMXR8dvfiTUWS27groz2i6+8Z5qk6xXl6tyM6PvLNEw1v+Qtc8F4OtQVguIi4Pu9QHSxoMFXMwYkACwyzSGxWNBsPIPEYkGK0GUYkCagpZnkhClob+FKLf61BgDZTHbSoUXpFLKTDj0HSzAgQeDpNakVAwL9LhDhOFBqLh0DEoYU5a5GAYnYFEB04nE188cnr798Lo/1UXkmcgRbctwjT39+FYVG/fY6Gv/zEX/aFTYs8xoV5ercJnUfy8tS9DorHPcXKVxbCCLgR3aBSIIVgVPK1tFoXkAg7jiN5t3MFlQTQNpmMv7JIRKsCKwlH+GcUbiehJrUsXyMDhJA2AgqElKGAWHFvaxziXAcfmAzlk520iFFOR8BRFzNFlSRWCzgGbwCRQGJ2AYkWHGT8asYLWdb55e8YyyIV7I4gmysLVESpOHu7OlsV6R8EGZVdUobBaSdGdmvlvJBaphQEIeki8UgldRKT7llzqZNaqCxWDsYQE5J0bwNzD7FOimal91Lr6TBiiJz5KgsHHeFeaxtk8Ldm5m1gxQp3D2LuUR1FJDIbUAAKTJ8E3MVbYH8kiWGglRlKZEAIponFUfkfBDRPEdwKAlT5gj5s3LCVLOJkKTrckahz7TeujQsJUx1maVwpVNuUZsZtVIp3D2cbOLjEJLzQXym+5rIvRFAwuYZvyDng7SZg4/L5HwQc7DZgnY5YeqaaS8kqUkCRDRH7TtQFJDIbUAAEXUnpP86Vy3IL/H/VCt4oVgtoBmFojEoitxzcsqtUVvtIFJSbkXjU4ds2kgptx2GeyXBp6bcXjNMdYjmmpRyKx5iWyIJU60GPd8kGksm4D8652hwvBD7Jn2LUkbhFcNcYC7pDk2YEo3PEDtSMgo7DarEk0jItJRReMEQVbaMfERSym2zIYdk6hUlo9D0ceAfmCggkdvA5IOUKRGJD63q0AryS1CW8vU8vkOnFSTnpPu1bbBkmtmiyP7UaeHi08hxCarsj1+7V2ZRRTlF9qdUW1CykRg8RfYnnKMNgnaSbCZF9qdaa2luFW2JptyKJ7SHzjoqRyRlFIrH3lEJmUOT95Sc9Pb92sR7j5ZRiFCFliI4j/ZVyUl3a4+EFTRgWs5Jb9aeqfHSIXhyTrqYr72JdSSJQ8lJ1+0jzjQKx0UB6akNUMLU1cRHLHc+NuZQp76AxGKVfIIfIo/HKznkkqm6WL7MReMxBJuKJXo0Xazag4vw4GXaRrd0TU0Xq+bA4njrmCnri43CcUgs3z13gnVc8nZJIkHTxeo8tWn6OOvEBful4H1NF+tSxhLS0kavdG1FtKGraNM0/Pr5WZfknghyO8Ksd2NjXxm/VfZruljNuSlTrNa4Jcfkvqi6WJXbZ463jp+99ZzUV1UXK1S8fc5Ya9y83VXSv1VdrKbjy0iXVjnkz0fVxQqd2TJzrHXcPLlTmi7WxT0LxuGnyib5TUQBidi4sj9FPNkfJ1f2xw8XlLn8sLmLOJfgyf6c5Yn15HJlfy7A/j6U/eF9gCcKeC1FKvtzkif7k30W9t9c9icKSE+tkyu5FrlaGa9AKIAt+1TEl+irzvIr9JlIWx+2FOl3xG9JEY6LAtJTG4AhVkUu7EclpcZ/i758uzRzUIZYrZVnzl3TwuTUIVZb5enzdbqayhCr0+c969eP1pQhVkPZ6cqgzq8Msdqrz5bX6ZVSlSFW6GJxcbV+QKhJjzZVFV/QOqVJj+KrnHOV1Cj/UIdY4ZqS0z5NmVsbYoVrzp6pUoW3dNKjzRWnS2u1t61JjzZ8dbpMp5ygDLE6rxjftjrECteeP1utu3R0iBWxDR1Azk6iZyE8d1IBpFOQZtZJ6YpSvARIKE+a3k7eqYrcSoBUrKVSzRPXn1FvLgpI+yFpr2DuEVWkVgLk0nqamDVhXbFaQQKkZgsN7Rq/zKW+JxmQpsNSW1P2yMCogPjXSPP0j9KlW1gG5PIWaZK+JF+Re5MBuZwubcMscMqMyIC0Z0vBMYnbZLFrBZDgEWlFbMpeRf9OAsSfRsPnJ6zMNwnHNWRKe/8zDyn6v1FAIrahAkjZm+o35ZEAqdSF266XEuMpIHW6TeV1sq41ASSkC3CcrajLE0Auauujk7Lku5TqYunWcueekytQQHRSIVNOyOxQQERBFwuyk7YlA9Jq0xZ636LHyFNAOnXxLEknpJYoIJ26bZ74AnoNCZAyXUDLRultS4C4dIeZpEtPBQJIWBf5OEV+aEmA5Gp7MJMOSs+XKCAR29AApCNZ9029TAExhgYmqsu8Vw2H3iRItwTRxTKmZ++W154C6Iphv3y69PNNADFuyadL4ykCiDHOd510MxJATFuR9BAbCZDLHxg2CleJEiDtxqCrdRQpAkirMdZsLSmggBgD25MqSAUKiLFT06jqKgk1Me44bqJXoIDsNRTMu0a7GQUkUhsSgPgNwnGWaxgQJneIHD+FAek0B1AJpAEMiPnsspX0VhEC5iimeCoDhwExx0MtpeM6DIg5IWSWdBQPBsScQzs9IAPiN58EnS4BYo5NWUo6hQFhDlSzdUqAMMH55CMigJiDtBKJ6hcGxPy2yWYnBcScjDKFnD0RBYRYBLJxEiBi0Zb1mbo5b1Mzail0CoXYmtkafQ/ImYeMX5VXCALBeT4KCBsQTgLxXd4uJkvPRkYVQoCNqCVXxYAwUX6LyN3r9rAnK88i6GBA2Hj3xWEKSPMHsWargKN514oUEEbujcjfYUA6GA0WotWFAWFzkKc2E0DamHCyBR0UkBtM7NaM5igg1LqVjZv9d4/hAfLpF+9XxtwEkKKVgdb165RFns7NtmJUY9t92IZtnQkc1OE4turnD47S5IzFi/grbJ335AMv2dewanLkBR5NQw4ZFOVkQIpGmL6qEiEIpDPMaCeAAHmAlwkgQAWSRS0EWI22xHoCSJCtsEEkgDBHexKZIAJICEgAd1BAlrLhvFMxIFAqSi4BpA2Iaj9DAHGy/nkhAghwKjY95RZINdxKAQE0ilKigEjWrWzcByPJ38bkKz4MiLgxA6FjNmUzOm+LrQTVrzlud+6yHTODgzJSjyQtXKmIxuHH1W8s+Jua8Pi1ULz9J6yaHHlB3DG1B0ZFOQmQ8w+av6obQtAcLUjsEIJ1seaLGBAo/7ucAAIkdywkp9xCmYb5BBBIrMdFAIFSLxI6MCCXWD5iY+s87ktQhVYMCJTdMZOEu0MZVrkYEIBmEpzr9EGf01cEEDaUn4RcRgEh1q1sXHEMnoW2a6puGJBamx0/VGyHJUf9McF2Dl07fi5P3LCqxQzOFVt25vJ8259l0TiEkp+0bENt/99YhErtL7FqcuQFGiAmRTkKSOOj5m/qWTxJBzQJrfEdHF0sNwZkLeCfJ3J0sU5gQNyAPyGIYFWTKZ2Ik3J7EgOyGgLkoMcNJHeQHBWHH8yHPRsQQA5miF4XxCYVjoMSCueJQbilRVFAqHUrG4ce/QChbZvUF2NAKmx41FNhy6T/Fvc2C7bzqLnyXF6tbSsDzlnbloyNXluCLBqHSsfEWXaiestDV9BGO6AmR14Qd1y5mElRjgAivm/+oixLkHAd+n6tHo4u1mLE0cUq5ehizQj7HaeggkOIo4t1AnFEGzbWCuI7ECCrPG4wC3gOBgRsaWuAo2pS5XWBoo5EOA5KcrSeDwp+sKVoRiG1bmXj0I5/aEavqEdTEkBKbDkIVRNlB2wVBUiwkcXFc3lnbccZcLy25Iy0XNsMWTQu/MbVOMtehJ6w/GT1Y/ZpgJocfoEGCDIqyhFAdjJ8WK7ydLG2+ZxgSrr1ussLaXBaU5HQCGpQnfc7yiH/1DBHWXEZ4sj+zOCJNszh6WI1OfygwERygKOLdYSni+Vz+kD1lx1BAcx6t9qjgBDrVjYOdf7bmrIk7cUYkDM2AU/fbFn03xntKiC7AXCu2D7K2LjJtkgWjds/F8VZ8ECKhLPfY5/BqsmRF8TZdZ3TqzlgQFoYZV4iucXR4FzocwIJt9hOurxsniG2SWEhAMqg7PY7WsCWfG4Pm8qIbXy7AGuUjKsVToOAzOU8QaxfOfygRuOY6wKQiYttk9fFUdhy+szHiVCbGeR0dlMUEGLdysYhNHXEBPkkb3QpLW2LvbHMdgShq7ajxHNRCAaP2kraMCA5Ngico+9lLD1o2yCJxomvBjAgBxE6+d+zf3KX/S1GTY6+oDtAVjN83F9HQk1AabWpPid8Wx9weUEZFGu9EABHJ0TVhDk3hJjD7QEfLdZqjvTomFqOcFwKZw5ChONARV3SWdC/yusC1U6IcBwog229IYTGQ/5lUUCIdSsbhxn4q1eUVwo22yq7WG3bS54UBcRzwEZtZVravmPbQHBSM1KybAck0bicuLq6Lyzbr1+7bw+6/IT914yaHH1B3LHrWueMgIR+zgBCVr7gVSwCCFoKFexyecMgUhVCABytJWFAwOnMLrcHbumsoDvpUGeJPOG44x53FVTBWuTwAzIS9AmCICl66xqvC8a/0OmDh1K1AgIfLb1XVuwHGzxAupONI2Fuj+/RvRgPsdpXppDJeA067xHrqqurs2zbMSN7Dxew4GxHKDtjecoGhyQa92fpo31ul6UGX8P+C0ZNjr4gbu9z2vWMgOQxfHxIwpKEILhatQgD4oIKMl1eaOGfyL0FELS+RZQVOyDh5y1uD6AKga2Ec/yBjTcHafC4ocNMrNZyhx9cIEjmnA9iTfe6QqCYXYXTh+ZBBdcEBGoxpkQBidjIRuFRW3VoezpqsdloQto+2xn8vDlwpIUB58RVhAIZU5dXyKJxxdnZ2W9b5p/abynGt7t9JKMmR18Qd+SUdj0jILPM39KzNO5UCHZBv6U7ebpYuRiQVuh+v0rOKAT800gsFjTh340BAdeYLwr1oLzhMfxr/T7Axwyyk85umGNrdfg7oStsxYCAl3B5XaCGFxGOQ8VQQYuAOqGP40AUkIiNANIlpG490ozEzO14CFWyz2Zbk40qdttBcFD4QMIaRTSOeEdbNqDAw280heLtP2bV5MgLdBuFRkW5klKT7I/lUWl2JARRIfD9niPBipAO3BUSzQsIH8aFSDQv8Mu/hkbzAkvDOSRYEXhKxXUJ9aCcZyMGZCMAyFcEkHYA85VwqAl+dyQWaytQ0IwBgfY7U2k0L3Ca2yooFotYVRSQiI0XrCiW5oHgFKYeS9FE49DW0Xda7k1E5e8+8NQEeyKrJkdeEJeZqLRqVJQrKTUJx/1aTvAgp9yygmizwzTcnR2GzJPyQdhf2VQa7h5mm8qj+SA32P2Iehruzq7PppJYrHp2oLOThJpce43hY6UUrAgIYZfQYEU21GwBOYINNbMbG1tpsCIQhHJR0sVix3EuAojIDi3ni1FAIrbBjeY1So/+6ZpcQMLdW5iYwTIpHyTMyLcVS4CEzbpY1ktSwpTxKHFsiW1SwlS9ObpqrayLxfws+2k0LzMzmt5GY7H2m/kY2ynngzCPitVSuHs9sxJwUQp3v2B+VCQ0UUCYY7GJ0j5NmLpiHkwlh6Rz0pm1svLoTnrkNriAGITjZqgZrjRh6oZp/nlIzSg0jUO2KRmFYdN+WpaSctu5wVhQpKTcBoxpGfF1ckZhl+kSB+WEKdPC7eQaOdx9mZEPKwmCljIKTbsqM5vlhKmLptu6UEmYOm+anyjCcWZZvOVdSkZhjWla5pMTpppNkV2Ho8GKvbDBBaROO5nt6ZNagZRy22E4A4FMZJSc9JP6399tIS0nvVg/QiHnYSk56Sf0NY5rOeldWTp/wjktJ92lv093i0rKbbG+nXkkMJMCIm7S87GMan/JKbeGGktIiqCUctuoTwlJIEe0yym3tfoNmiSSGillFIqGp1Eq+TWRc9Jb9ewklKgpt12GHwyyXB8FJGIb5ISpgpHSt/PcfoPUghxB7FNHU0ur6L+VUPlglnLbTSOJVJouVuthBZFphXTBWMlCb9mv/GTPlPNBZGvYpgSjrCB6C6ouVvCQkro47TTtk5SDHsxU4kQmC/T9yim35ybJdLwwVU73VUQb2g4ro6YEO32Tck56uFAdRG6mKVmKaEM4Xy3YRRf1FNGGa+rcaBbN+tJ0sSrVMWEKgVYVbbiirissoy+NAhKxDXZGYSBlzKfjU03yJqqqCbpRmJ6autUhS4VownEoVLJvc2rqvjIps1YTjkPh80fSUlP3l8o68QGtRvn+1NS0rHKTcBy+g4v3bUrdclhShtCE41BXmaElRdWkk1x502HZrYk2VGcsnzdvzRFFUEFTNUGhMnzlTfu+kj8fVdUEXXFuTU1Nd8nvVlM1QRftW1JT97hbpH9pqiZBTxZ+D0cr5X+qgOAP6uSu1NTN2dIsThOOQ03ujNTUbcdkNbsoIBFbl90Nm1PgFAg5nAL7Sdifw2spu/AMbEWFcIU8XkuObF6fTsD+fN7bznbwWiqA/QXcD5DbUj7sd0Xep7wIW8pX8I8C0lPr5N1z3NuaDwjHn8u9rQsqYBNOwRXyeJdwOHl9cnFa4kLLRY0DyIk+u60LI/+tirSl/CL5a48C0lMbzCFWfgmnIFvWcWp0ZaTtOfqV2q4yxAqe2rd1+6FiTXNNHmKFyu270zJP6qTV5CHWDdeBHTuECm2eIw+xxEo7bsiljcPUIZYve09ahqteK1CHWDU5GWm7j1cpanOacFzX2b0pC1OOXpX/qQyxwheErdsO5CtL2NoQK3TBsSdtzwk1p1kdYt0oPLR967Fz6ttWh1jtxQe3b913UlG5UsWrfcd3p2Wc1JKjtTlI7q7Ne3OrVWW86BArYhvCgFxWpugTd8u3vARI01Y5VDVum3IzUkDEHGWCvkJVjqOANCgZ3YkZCgoSIKeVncJFXqWCBMgZZQ9hTr4ClazufkZZfJ5yTEqqUQAJblPypsZK63ESIGGnsps+3y1fQwIkpOrKzzkp3cAyIOrbjt8pq37JgDSmT5BLVstzDwmQQmWZd7FL7qwMSIlynMnUI/JvSRSQiG3oApJt1WzSMXpzUUDK9OumGdLeCQGkXR85slT+vSeAlOlWbCc5pLuUABLWLyMvkNUbCSCGjZaZ8oyYAtKi30GcQT8IGZATb+nWeak+CgXEcADJIuk3ngJSo9/GW0wfLxQQUZ8SPymH9lYC5JR+C3EX/awJIO36fdP5UqgOBaRTHw8wVRLpiAISsQ1ZQEwRVOtI4wQQU1LRfPpwwYCEbQZ/PF2bJYCYIsJX0TUjAogpZkXSPSSAmCJNpE+IABIw7e4TBCRATIewTWyTALlmjBxJoLcpAeSycTswkaSoUUBM51+nkmcCBcS0J79YPkAnbIprp08vAog5wOYIYS0KiGI91sYaqoAwoYerwxSQVnOw0gxCCAaEySmit4oQCJn1PRYSpUQMCCPvQ5PvMSCMnMMh2lI96mJER7wyIHvNsSbzKCAhpgIBAQMSNEcxklOvCCBMksomUQKEiXJZKu2kMxos5MMmgDBB+wdQFBDVuNpY6yBdLGKMeJw3DxKUQ1czj678Rc91sUre/ukvNzpXQYJZ9Ql71t3QGtfpZWFAgGjtvRQQNlljQRcBpJ0NdyVvUQiw6iWLQ7BwnJVkvrg9YTagnhRgQNiw4PjrFJBSNprXRQARmApJjRSQdKZgehsBhJV7IxEEGBDgaOp9BBDg3GhpJx3IufVEAdGMq40F6GJRY8Tj8vMgQTm0d+PBxOTtPdbFuv+HT94Zl3UXIJh16qfT8tQniFEvCwMC5WpUYUBEIM0hkwACCONMbiaAAPlSGRzhOCJBB6bcTqohgECHmKcSQEKfsoB8gQEJA5ojKQQQKOU+gwAC5WrVI04+SD0GBEiLnHyDAAKkXiW2RAFRjauNBehiEWPF4/LzIEE5tKUtc+mKdWN7qIvV+nANOha39/esYJb/J2+K6hDLpJeFAWFOQ8Zmw4CAcjY1GBDoDtpKAIFyky5hQKAs1vnklFsocXAFAcQsg0utDgOSw/IRG1vpcYPZ7VUYECgdZNKNACz3thkD0gVlFO7EgDCRzVZysHoQTt7NiAKiGlcbC9DFIsaKxxXkQYJyoavejI1rj67roS5W9VT8x5S977CCWV9Y7NocxKSXhbKbQGGcqz4nmKy6jSMcZ63jCMet5gjHWYs4wnHWSgwIOybDdgQDMgUCJMPjPgpVSMOAgCJejoDQBPmtQa8LFHNJCDt9TE4AsUAQbmlSZxQQxbjaWIAuFjFWPO5EHiQoh9CBjDVCeH8PdbHC+EIdk/YmMAXBH1laQ7m6SbpeLwtlw6o1RzjCcXGdHOG4fRzhOGsNB5BFPOG4rbglKInVuqxWaH8ZAmSZx83ONEhnQw4/qM2wIiDAKg9ur+sYWOAS+eK5AAAgAElEQVTnCMcdDwoXwQpnooAoxtXGAnSxiLHica48WFBudsaS1Xahp7pY2Nxxe6cxBQWWh7f9NH2tNknX56qjbDA327ra5wQ1G6xlHOG4ZDzEmgAVHIWHWFZrA0c4LiEs1I2BChJrhfMQH7GzecJxlxx+UMwunicct5uni1Xk9IEajUuDHI3GPVFAFONqYxl0sZAKCCse58qDBeWWZay02dJ7qItFXjN62t44piDL8qPJW3YmL1H7YQQElh6d6XPCt7WdIxxnvSEEQPmrlX5HM1jhBEc4zlor1I2F/GNqhEIQkPkeNzQvwj/jDj80L8JwcvQQU7wuuKU8pw98cE5oEa6BFVZFAVGMq41l0MVCRLAhDZtJPK5i0xrb3hxYUG5PRsohW0oPdbHw37b/MmPv50zBfsujIjqa/IbaDyMgN4CTBqzWKT4nKMps3cMTjvMJgQOQn6iaQErq1r3g8QfYzgn14HBmXK3gAgFJ9bjBWT0RjgMvbb0mwLJ4K70uSHHeanU5faAUEW4pDE7iFkcBUYynjUXKjLpYdpvNtgEQj9t9FBCU294oZmcsd9vW91AXC0/yH6t07H2DKfCQEVd2sjbvMAECqXuQJwhaDhXsdnlDoNzbeSEAHZhAdbGyoYKtbk8InGsUC/WAfggexdUKX4GA5Hnc4KWtXocf1CSdGBAQKLm40evygi2VOX3wXKNWYM62omaLAhKxyUMsVjwuO4f1nbiaXxLImHZ89fIe6mKhC4+VoJLMEUxB608eEZEjeZbaDxMg56Dvdw0GBFzGOuLyslvKxPATBNgQxDMHDEh7IlCw3e2BWyrnLPNuqhWCEB+vtXrc8P1+1eEH392SAHjsjdV60OtqhfzWVqcPfA6OvSFAIkhW67YoIBGbslHIaGDl5UG6WKXrLh9MmODtqS5WzaM/HDlySqaFFcyaazmEDsxR0+8MelkYEOhwJqsdAxKGCs5iQNqgH/4gBuQy4F9MYrGgFbEjGJBW6GHUJNQ3Q+K8RfjXOh4AxEZ20iF5wymiwx+G5tZHMCCgOG85fMKUdRUJNSkFCuYEBQRewhUFJGJTAGE0sDLskC7W9e2rjtp+3mNdrKnkk4/bez8rmBVe/MQTmSeUXhj1skgsFvQje50EKwK7b2SZF0Eag4toNC8wf9/HE44rJ8GKgO7pfBJqksX6p3ZhQASWjzfqaCwWK39l3UtCTaDf90YSiwXMmGaEMSAQ5SU0mhdAJ5PEYhWz/knNUUAitqEarIjYcXq6FO7OjoD2SPkg+5iCfEk4jt1EvELzQVqYjesZIs0HYY/jyCOAtLO/yidpqMkXDCD7pGhe9r6Ob6LRvBuYgj00WLFrPnAJEqyYwfhXSeHurexeYT0Nd2d3YfZEd9IjtyELSMh8W08LSoCIZnSmtMgJU+b7em5ISpjqNE9D0uSEqQZzXGKhlDAVNu+mk5bqEbpinrZsEmmwYvWbJj6WITkfhDlbtEAKd283gzCnQwp3bzALJa4RKSBdZrn2qU1ywlSDecUvU8oHYT7A6a1RQCK3IQsI6jIqpSVdVTIKReNUNqFKSbn9/9l7D7i4rjP/m8/mffef/7vvZjfJpuxuNuVNJomTXSeOZTtx7MTrlji245jYcZdbbMdxydpXCAkJIQkL9YakUQVUADXUEFVo7h2GDgODKJIQiCKB6DCAqDNzz3vOue20sTVZ/TexNc/nI83wPHPOvTNzfnNPe75XpS8usd1Gym2A/jVdOWGk3I7SvaxUI6OQOcTiXj1hqoMe6Ozy6dvda2ZT+tiJUgS1jMIGWlPwyqIlTI3TN/ZBm/a1jMJBepC1cVLPB5mkFbIEgV60jELmHkF2n55R6KPvsrC4O7yb98+wv16B0PC2RNQ+jZz0ZqJvvww1EgP7005M6iSgfFwD+3OW6IhsGrWwP6qTOMbhgJWTfpEosAo1Ri3ldpScPs1HOtASptqIXtYreGLcyEnvJxK5FuLPVE+5JdWchLZM6ym302Rvaj9i0GkZhQFStNtxnpiek+53EHsZ989YOemVxNLNOrSbOiyQkO2vWSBgUtF/TjdW4LRtk4vlr9W3+y514G1lJhdLbdil3UpwiYyTcU0uls+tN9RV5agqi4s1Wahnmdvx+zK5WH6P/pO9wqnVpCfxNu/VNq8sOKJhGPSUW99pTSKPv39iQnuhycW6sEcrEXdcS603oA2DWfr1aKeGmjOhDX0ZWmDenjb8twFtGDqhq3nXOS1x2ORiXc3T9WzHCXImtGG6UP8A11biDzAskJDtr1og0EbO1daeNf4kwHFgqq22tkGnGpDgODDZeqa2rlsHJBDgODDVAkvo+AcSHAfGmuAx9GZNgOO0moyZaJNqAnwdtbX1V3iqyUBtSUmVNXFtgeOA7xIs0WVwISxwnNrdWFt7QT8yCY5Tuxtqa9sNVrEFjlMHoL/N3GpKgOPAMKzq7Jj2nADHAe/Z2tpzxi2+wgIJ2WbkQrEpwQKyIvY7r1tNhUp5hdDKa0KtSXZer3MKVtP1e9vBC1y3r8JpAJDDArlW8yk9YqsuChIorBX7r8id4sCZwiA1FVUHCSh9o0K7XBmkQEmwgNwq9p91BilQWhHsnJrF/gtykALlpcFqOiv2twb7KiqLgwSc9WJ/R7BzOl+vf+1hgVyr/VV2sSw2L22DldSfE9lRD8y680033cWC1rP39btm3bvwCt3Fgla35unbZj22w0d3sWBf/VTMQ7PufKmQ7mJB60t78+5Z98y7jLtYVyoKS+qu+KkXaF2sqZojKUmpp4x+GjbYxZopS0/an3tuhi6Bu1hTtcf3JqXl1oxZftTFulLlKvFcnqILaF2sS/LB5N2HXe3E8VEXqzVrT8oBuYX67LUu1nT5zviFcfbsNisQ7mKFbB9fgXg3zdK/2oO0QNqidP+Pm2mBOH+rB56boQQytesnemAnLZDO+Tdr/tsboEA6HdgKL1ISQQLp3qPt5bTvcFqjJ487kKF5kyupFo8E0pqil7DnmKMWKJCL2iEcZyfJAkggk5lGgd0e8/hQIC7dm1RBHAMLpNlMy1pzxgiEBRKyfWwFcvRO86u9tYcQyNRq6zt/ihTIZeKGiLtIgcj3GO5v2doIgcxstAo8AgVSprdeR3EPcU5QIMNJdtN2GvxEKJALpnf3eaIEFEiLnTCnfoXxKj6ncYjCNtUqAAUyc4AokGaM8l3tbZY3xfpekECoDcBb9bmJsEBCto+pQLzvkt/tPksgFx4mA1csgZyYRfgftwQyFUsWsFsCafuNjWhELUq/w7JG661CgeSSzd1+VD95j7uQ8OZaP/DOzslkqsR+bZLJqwwTh6i0PgMokEKqgF1nULvaqUOfNvpyUCAMrGJRmKz4EdYBm9C0X/VPM/6Pp0Da76e+23hTIAWzqECZIRD/B1SDuNUUSE8kVSDaFEjh7VTgtNLvJJpvmXmGvcoU3Xjte7X27nE7SG+qMSUNBVLDlEjGU8heZYg4gsNlzivXVUwwBezafLerfR/lPTiiFRBhf3A3KywQzgLapdrxo1cB+PuIiIgfwG9uybJftxlxn/Po26/EXdT+aF3y/Otb8Yc8vG139h9NP7QxdI+b8W1/fCXB1QxUecXibfp13njetl1ekjYqCMycyo/b2EwEoE0g4G1nflr84TzeDwUy1Gq6SKKcIZDGO+jv9gNDIIeYL71SF8g0dcGxfes2QyBt99IFYgyBHGNqUpR+N9l8iwyEfK/SxbbePfgj9LgraBUYpG1n5zG2RDJSj1eZdFBmZEbXVZxnC9jxz5erfQ/t3aO93XFFwA9D+dJhgXD2+lLtMQYK5KX+/v4hMHG7DyTdb8R98pPdI6+8pP3ovfDk27+NnAvHgOefT8rJtPyTRQlPxsEmH/va8PDvc5qAPLd/bPEi7efKeL51qbxYWikIHEgvChyKJgJTNUlzt8LHhdmH5khzejj/VI28ZKt+ejRRThfIuduZ73a3LhC2Vdt6NIH432H8v9UF0vUzJrBNF8hJtqaLSn871XoL9StCr9LKtd40DV7dTnuT9B8CZ2cKVyJ9Gg/SS2iF6EDtuopSroAdjWpc7YcZ7178UY6LaEdxIze6QNSGJvgRlNHOXv2XbgEUyDv4WdrL8FURxmzLzOlYADZGZqPnU68MgsrIyPOg77nFgZ05pt/zzLLoyGWIsJkEwJ4sRV1iR4TnInxQ/bm6Ylzuj5rDB2bmZBWDK9I6M3B+3q6N0i545MXFjfXonqyMHz7Kcbu0s2OIcppArtzNfLXfqtcE4mK/8/v0QfpSNrBCE8jIr9hAtSaQMtb/44DSP0W3Xpf2yfYql/jWizi4Hrc/ifYmaRNWzs6dfAkHFkgzfQjHFVygrqKQL5A0igTiZN1Ym2KqSfKNLpD0L64HVbc9DNJuW/Ts93/b+fxNj06Ck8/CZtqz/v37boIC+dn9n72jGiyKgq33b/Q7TYKm05sByIzECePdqFm+ElkL1kVWNW/ON/397WBr5GrYXCPTAMjOOn4J3Xm5UMKoROO5ry0gz8wXBEalfS7gktLMwPAVcFjaA8DAsdLGS+g2x4wfPspxe7SzY4hyWCDTkexXe4+KBXKZvbDYVmoCyWD9tmosEPUN1n+nHwuk68dsYCFaBznLKASPQ3qVEb712s/hdZAixrsbr3o4O/cISnQhgUwwAnHgy5TwCmLPQwJp59zoJy0IF+uGv0/6w+sBWA9/bx+4Z3zi8/dfnfzCXqA+Fgf6fuoFgeegQNb4J575uvpmDHzpZ4xPqvT0TgBKIpeg5+oM/F1/6onJyd9FTpVsPmX6oW2LTITaiFwOQHLWgTPSUQBqUcYOSngwnvvl/G2iwPKkfPkDIgBQMtR+eDRfaWONNGeK9UOT4/abb4okymGBLOea+za8DuJ/ggu0YYG0zmL9j2oLhbu5Aol4HSTwPBc4iwQyWUi33lI0K9GrAEF73z2DBDLGujPQDi5nZyZfwH4ULxQ2MgJxoaXHuoqzggL2PiiQwG7O3YAEMioSyNYbXSCPQYFselh7fAT+4j++HMN5k9FP8AKNidAaMTjvXfj4v4w7gp06DbtN1ZHzjDrORu4GdZGvnnp6c9Y44d8WuQXFnjh1/g9Zh8ukY/APCUOtrOcFcvRcpAM20J2aJ0URJQASwkH0UNp4EnW9OD8UyEHzTZE0BySQRq7x3ubFAtnBBSS8kq7+jgsUYIF03Mr6b/VigezjCryhbVbsYJovum4hNq+g9VbjzYoVrButiTs73cL2jgQy5WIOUY1vfzAsKiCjhUJ2QgwO+CfQLJaQUTR4owtkFbxK6AL5LRTIU5pAVt4DY398FaBhR99Xgf03AIx+2diMmn0atvxG80qhfvBfM6Ao8nc712w+cYDwY4Go6yMj312RddKF2vFF7Xffet4uZ0vSZj7QegClK9jNACAEsgpdMjj/hwrkaa717sZbTQZvY/2zOrFAsrkCz6hYIH/iAsl4q8ko11WztWgCUauY5tuDBTIgaL37VCQQXyrrH0ACGRK191K8m7eL7WRdxusgBwQFkgJQIL69nN+FBCLEnhZfs0DMmc7Akm9/8emrxsP1tL+AQGY/AYZvfwiAR9fCq8dKKBA4sH45FlR8ygV6bn4ZLIJvcEMW6P7SKDhqXjGcp+Fv+PnI9fqfp17vRz2r11Xn5hNxhB8LBKiFccuichW3tA+ANpR/BxuU9nxrQkKC3L1BSuACH8zZm9+yXFpqBgAWQhMskOuIJWoC1ySQcq7xRvqxQFZyAVSr4g08yAmnDW93bxLWBAWyiQtsAvp298kipgc0g7ea5Aqabw/e7t7Luk/glXRRH+uwtt39DCOQQh8SSL1IUv14Lxbn3jUBBdIqEkj6tQrEmun0zJ8e+O4K4+F62l9AICVfvW3esq9kZnztvpqMb9xbDJ76uevkTXcqYPs371oce9PJsl+/l1AIX5bx4oZF5nqh+3Qc6mLpuPcLf0Bz702wZ1WNBGL6dYHg36XcpnPodgDnJDzDpT9fK0lR8ky6tFwQSMpXFSnWDAAsBFRTzsFyoiZwTQJ5l/1eb9cyCqe5C8jLaAVI8RZzzT0dYIEsYv23tqHPw+O/kw38Do01tHyQYab5NmOBiHpANVo+SCPr70YC4ZZOoG3XBOIrYw5xEW814ccadvsFnA+icP5atNUkUSCQawbHWTOd1XAQ9M5m4+F62l/JOshHmff0bBWciLwACo8HQOcf8ALd1HOvqWNbTuw2/aZA0EyW0jw+d6EKnFIHqFYCxvOTpQHZlyot4AK1kqcYdErRZgAYQujNcZM1gWsRyOQP2O9VRoGKOoX1P4AneBVvDBtYiPydTv8dbADX5PZUsv678eysnjDVy/6+4928tXzrdegJUyWMvwBvViwQtPdBBReYYK9SCPsDmgUF6rFAfOxaiP04EoiI85v4YQL59G8PHXLoYWqmc2T2CPFw3exjIhCfI7J65j1JHYyMrB18/YkXoUWDfZFlIPmE0/ADtCKCO1v+kqcPFjeDVOmsb81a1YsmafXnFbHNcsO8jXxgfMmRosDB+UQArYjA7o83Pjs9dq60gvUDJJBU8wRJotxgZQX7tWovrKhj57bu1BbZFO99TOB1vBe203merSkdF3B7Ehn/HdrWGiOjkBkkdGoZhXwnK1cXiCrT/l1+TDXZxxWwDynaEUYZhQzg7e4CSZ3TMgqvsnXtwHeo5EFB0i5CILfOYuzT333yyT/oYWKmM/CnJx4rMh+uo31cBOLc8tq76wZAIO69kV0adOBdoO5/++30PNMPMlY8FfnUCgUceH1BPdqLNXNw6ap9XhDYtuaq8bxn7Xx5T5cgAHqO56/cP0QEClKipeiUqmNSFoKeRbF++CjHoUdkNFFusJLdS6ILqaLuddr/U33DmDL4HTrwqrZpsNOZw9SkH8PteY/Rh35zRTPltodqvR5NID5u98hpM+WWWeXrwfkg/Ulsgb1myu1YMXWIC1ggvoOcQLr1lFsvO1DHUvPbOYHkEgL5DYvy+tIqq1XQM517Pz1GPFwv+9gIJEjgr3OzYirdeo/qgYq6Fyn/w5eNmrrpAjH6htdOJ7Mt5YRewO35I+V/wNiOZuWkD5K/8C49J33mKNNIa62c9CoqcEHLSe9mFaJYOemTFaRAarWEqYl0pkBywMhJHztER4ZxTRMchK7rWgVizXSid90WMag/BPm+/iwLC8Sw6ykQaqhxd7URqKibRwbeM8srw9QqYbrh73RS02H3GqmoUCAfkIHXhs2aTIGAyUqi+RrQBj/TBxoloA3t5OarZh3a0Mf0jPoJaIO/kRcImDpOF6iyoA0zp8hAig5tmGCuIUngWgVizHSmDrzTA8DOKKA/XE8LC8Sw6ymQCWKyKspsvFAgDsv/kxNWCcUbbQWeuGD6O50zP7ECsdYMv9tjDnO+Zbs91UpbIgQCAq1m6y2xqCbnSRkUkVQTMJ5nRbwG1WQin2zVZSTVBMrHWjFsMagmKnUpOuQjqSbniRSTYoNqQqG0pPiRaxaIPtM59bX8zAfnbzkMgP5wPS0sEMOuaz6I2TN6voYIVNSpb+r+WavJyRbF2/NTPXD/MSJJr9MJzEHIq/VEAbcHzNH9t37QR9ZECAReRBr01ttqCQRMFpu7EE8FKIEAcCnDiBDYn44jhD5ogQBfs76xpXDSwv4MZpsFjk/S2J/JUqPPlj5lYX96Ukx9bBgA1y6Q/wELC8Sw65swVfS779i++9jKJipQUQd89p/BNv1qGk1pULygW/qBzfbzeQ4qkxytpJc89V1Y05rzVAEoEH/Sf9pst7y0h+5x0wJB0KwK2VHYohICgc76bPhLvuMkmi2nBQLbqgL7VMmlfkIg0Fmcvs1u312AknhpgcB+02WP0+FwjxBcLACGqzKgCndm4aERKRDY6OtPQI2kFE9RXKy+vMT5kjR/Zw0aUYQFErL5lCGxeYqCBFx1Yv+gPCAONLqC1FTsCRKQu8X+jopeaD2Xr/Qy5q5G4b7OQbaEchn9332F9Tfjtz1wpY8NlFfhmrq496K0caczOACP18Z+gL392mNFuaAArqmZ9vbrx7oscwWG0BGGqksYp3FyrvPc63Goh65psFs/paFmfUouLJBrthn5L2hKyCVcYnPW/B84O8aCnGzo7+EvaIqRsxwWyLXax6qLRaJHKWtqYD1XKqpRZ4vhYgHg7yhtGAcsFwtaoKnsYoDjYkHrrnSj2QC9izXTe7mfep+oixUYHplhi5ldrKnu5nYO+wOGLg8EmAJGFyvQc6GZWrTGXaypnk5uGcLsYo23tPQQZ6B1sSa6royodIFwFytk+0QKpHfzQ2iUHTPFCqQxDqVCzdrDCkQteOMWNI6vZgXSsw5TUuZOaAK5pM20Hqqw2ioUSB8aTlddYRq8fvsDezQaIa/MHDADUCAdaGlvR1YLVUQTSFcqvkHt4sMdZgAKZBoDIPa6yGkDQyDjufjGPtGbnAa3DglkGG+ITJFJRFFYIKHbJ1Agg4vNiWBaIK2/NwLZtEAUgxV0ex8lkP44o8AcLJBiayrVZVwUehWfPt1UfIU6JySQqWRrlvWAkeXs7Ow2atl7jviJRwJRC6wCm4zVTigQcwkka4g4BBZIjXUHklhFUxwUyLA57XuCEFVYICHbJ08gx4gFDi8hED+xyeopUiCDb1mBnaRAThD7GXugQMqp1bg27UW9yoC5YlHNoEcD1Erdolot4Owkdm4dtU4QCeQUtbKXr7X3uorLxIGrrMsOEgh9791EvDYEBZJFlHCZva+wQEK2T5pAxqmtVBWWQDrJjNxbCYEUEoKyzbMEcpVKqHIq/Wyakzbg7SWJcq5us1okELq5S1IBDtBUk6QWowAUCHtPwyTctOsqKGkeNgcoUCAXmBLxaOvxOMPq2m8sqYYFwliHdmuyQqqLTvHjPmEC6X6cbNWEQDwkh+Fbt1sCofNrTS4W6HyICjiUfi6zFr+vXmWc3DjVbPaZPO7pBUzrlfJRgKWaGPf6hQLhblm7Fa3esFSTFGNc4WoPcPchjR9BAumjzzRZX3oJC0Q3EhcH6mfn+MHY61/43AtaL1jnx2mGBRLY/uBPZlsiUi/B3vTZfMtX/dKPbpcG9FgQcJx/Wp4JzJwW8OGO5scfHhWA4yYLDi5OyhGC4+bP+uHz+rF9U1DPUz4wGnvfnRsLyTdJEOUMgXT8nGrVFnpUofPPnzQFsp7Oi9hl3oKNYQs1Kf3sZkG7HfWZ4CC9lFRIvdED8ri5O3hKEqrd2cnUJGvfllfxzecKoMSYugomt32XPjpxtTfyh7CrUCBsJmOStvs/LBDdSFxc/S/RlMuhRaPuf5mLnRo/TjcskB03tQ/+5HZjMHf1fts+2JXPsHwv3PXqLNvreux0sxAcVxAlR0tSlIAPl5w/R1rKg+NUe07t6AIBOA60yT+7YB57C26fqepzd/f3xeSaVz6aKKcLhNXHvcYgnU0rXGcIZC0TaNQF0sGkFd7mV/q3cQKxd2GBtJICcXh0hXjc/H2ppdhhJBAHU412Ml5FdDd0NxLIRba9a105V7so9bwcCmScPdNkfNW5EQXyUbi4wCycWZEHe7Mxj2HnO+QrkUACP30egCjbXt2V8KDtAAisyTR96oNjoOu7t+mx080icBxwzpeXLJyzSsCHayxukATguFbpdKM6X6pi/WAoRn7LOp/k7986a9at2W5bPAB7c47p58gQ5TSBDLHJUat0gdSz/JImXSApjP9B7T7pwPsAE4gBSj+vD3uqDwlkhsYBndEuCB73fkHrTUECYdu7HX9FXoUdUCCLm4QCYfG/9mT8vlzkTUtNW+qHg3SO5bAbdVtvRIF8FC7O9eWkX/xMywV7Yi1+0PhxuiGB1NnmwYZo+5PmOTsnxpYB6uJzTN8UfLX6I0mPOZpF4DhQ4pB9ZMDiw8ExSKy0gwuUSA4EjjvG+kHqq3K8dT5p27QHGzz54zn6lZElymGB+J9jWrXtkiaQvrsY/wv6OojMFkjV1kH8s9lAPRQIl+JkR3QftFDYRgnEoZHUPe4DgtYrXYYC8XMZ5qhr6VVaRAXy0TRvHlvgABrwudqFdJ+acRGK6Lh6Ywrko3BxH3zOoyb8E/r5aH1Am7vX+HF6aSSQXNsSALJtL2FH4IXuGNsJkBufa/lAYCQRpRrhmKNZCI4rdcq+M0I+XEuxb650mAsUSacaz6CfVMY/NfcZedWEeez0ZPyw1/YHAPbk/NF63yRRDgtkHduqY7SVdF44bk0gvSye4d5pTSAb2AK/Ryvpx7k2B8fLfrySXkorBK/xedy5otabgRYKPdwVYQwJZEBUYAnKSe/hjowGYK72paISe8eFKKIzN6hAPgIX9/6j8OP4FPzax35jzUG2mslhSCAHUPfFaXsSO7JXgxhbNjiABGL4gN1m+495fi3maBaC44q2yQsWEeA4YDIYWopbJQE4rlXKLoS99HTW3yw9Lz8nbT+lH3vv7If//b4t/irbdw/ULMyZY71vkuaABFLPtupb+zWBcADFd7StJuorjP9bp7StJrVsAdtFJJBKgUDsLXg3r5cWiANdtzzuWlHrXaRCgfA0q1wkEDVWVKIZbTXhk957kEA2iAosRivpPFkoZeoGFciH4+LW/hI2hb+7Ambe0Tfu6Pw43ZBAdqPf2krby+hv9VkvFEEu2I26WLoPdsLK19hsB7WY3CwExzkWyPDnbL2AA9dSvHMxUcIIqKlZexdLUjbrr5F+K78fK23Rj73t5sd/bLNtU9+32R5KzFljvW9GIOrjbKuG3T283Z0dgPx4QBNIJlsA9emgQNQn2cBGVBO3DoJNzyhkOlmlfiSQCVHrlbrRXqwOrqIONM0rGrVIeUggI1wHLyPYIF2S0JKj4BJSfmMK5CNwca1fHAc1v1D9b5X19/fPgIYdOj9ONySQY7b/AqDa9j76uyimr+8928GhY/HZpg/b27ZFRTGV8dIf8qqE4AHkqEsAACAASURBVLj4ZXLnJoS/ojlwTQkJ6fmLXRwgDoHjcgorJOksC46rlV6SF5ZJsfqxW73AF2V7HKiNhZPrcohVG0YgeWyrxr0xKJAFbAAt10GB+Jhbg9juR5NpUCBcTU/pXKyTAoGkawJRGd7bBbxQmCJqvQ14syKHZT+M6e6iAnvxZsUG7tCXoUDqRAUkfE4sbwj1B29IgXwELg4cfWXz/H7wbgSyMnDXSoMfpxkSSCEctcL/8K+zDjx/tDD+pOlrRatVdlvyG7Yn4aefsy4oOK5UWshy4OBPXFJe7zkOEIfBcY310twAC45rlyT57S4p2mZdLZrQCQIwGZ1LZD0xAmGZ7w/h/YSKt090OUACYW8mchu6RRASyFNM4C6Di8UPBOz27XrClJ+hko4jgYjYVJIbC4SnWfVAgagbBQW2aQlTHPcnFwpkRtgpw9AGAQal/YYUSEh26dYJ2oEE4r1plgqSbLXgxC5/fWFh4cu2tdXeD46avhWItR79H+1a7FSJCBzXh8BxTdI8AR8urRCIAXGljU5pPuefXrBQfgg2Le3YbejYtTY8Uk//k0ycOS0QFiR6t7aWpnh3MoF5eHoCCuQZJqDN9Lk9raxwtIxctFmR+9mHZmQUzlAkEsdZvFmRWxmHdkbLKBxjhyEu1DESSWqXJhAfy03ZOeNq53azIIvTtruPcPfpKQ4L5KNsCbu7Ay8Uvm9zTj/ya7XHZsO7J15FkKg9Gabv0G2VfufNR4AWKxCC4ybmuuW+zUtEfLjk/NjYuXwACqR43mqBP0uS71o+7yHt2N6bjk9deuY1eOXw5/zHfnKrCUmUa2rYTrfqO3U+g+JlYNeSdg3qdA4zOsjTCrg9zNrILH1GHAlkhmdIJ5spt7RCnDNIIGP8ndCkK3rKrZeZ603H291P8AWOGVQTBu5j74QCmeH2mkjSHj3ltocdt5wMCyRkwwKZjLn7l//VDfyzHxkCYP+r37bdvAjU55i+lke/f+8fcQcExU6kisBx4MAS2V45LeLDJSG2xkIuAPJzjjbP8AWAmie/8KP7jfOJ/umsp4/Ay0viz58pI/Zi0US5pgYa1f7zNj2gDP8HFVig99E6nfTtqGYZnU63J5oK/NjILMf5ICPc7NNJKyfdV0Mq5ArOB7nItd4lqpGTPkxXtlXDvW3nSjQYOelTR+hjn0W7eQXXnEYjJ72buYYcCQskZPukbFaklvaeNlMgGHCcMV3GguPuMc/E7XmTDPzCxCJoGYVDrELOEtAG9QK5WqglTNWzrZegmozTnSaNzTvNUqeX+k1og49eL2zU8kHYIySqJrShnz7drLBAQrZPikDIXe7LrBNRBr9PXFesDTmdztNEgTcswpbbQ1Lfo6wT0VNur2ZQTS7dT1FNei2aVZ2ecttM97ISZgiqSYCcaUrSU25nmIGLh6SaUCuMnVpGoYd+fVw/QTWZoGbeqsMCCdk+KQI5bjbqx0jcjuK1oL0LRy1/p3PkFsN/x3GigNtjwRvvLiBr0rE/AXJnbcogoAQCpgxeluOCkZM+nER2sHoAhf3p3m/WVWhif0oXUlccCvszaF119hno0curyCNcAhT256zVzUqaCAskZPukCCTwmtaof5VB8a8Ub7OeDxXVSvo7nUDH/P54B3XjJLcHRGmB+/dOUjWZXKxRlzH4PTIMGIHAsbcH68N11eJinTMTC1OQRkmBwG6ZPvA/MGlxsSayjdnbpWjnCykQADp0TnZKjwltCBQnGEdIRYs5pEDAtFufDUjpujEXCv979kkRCAgceefFdxNr2Zq8oC/x1VdiDjLcZbSSXjX/xTdWFPrpAFpJz/7Ti39YVckAQUhw3ExLcVZmVineusMKBDbvjjrPuTEKHDdcfHDnNg0PxwgEWl9VXmZunZ8Cx/nOZ6Vs23m4Fn+ktEDgQKj2dGZW1VUKHNeSu2fb9v1FWuIAJRD4zXRV5mTm107doHux/nvmU86IrThYwFkq9tfKteJAabCalOIgAblG7C+TgxQoqWoQW021uEB5sJpcRcHOqUrsrwpakytYTRVivztYTUWFQQJKmdhfE6ymSuMHJCyQa7UZpVxsrmABxSX2V8hlQWqSg9VUGCQQrKaiYDU5S86LzVkVak3OYOdULPaXBPucgtdUFKSmoOcU9KsIUlNZsJpKDKBxWCDXap+MLlZFXZBA8QDj6NwRLSVfFYDjGja/G5Wr8uA4b3bi0uQ+rYs1WucqaWRQdKiLNXLxwmWO6qZ3sXwXHEePOkgCltbFUjtcmceVc9OW3+hidRUfPyzXEwMgvYs1VpV/NL+ilziE0cWaOltw5GiRdQyjizXuyT58svyK1VkMd7FCthtKIGrmL/GWtG9eYQQys/VmHPhdgBFIqbYqclsZEoh+J8KDZ8lxCxSItpW3/DJNjsMC8TnitMHzgkPm2gwWSJ2+Aj5vX5fh1wRiBlLMzxkLZOzQPC2wotDkNGoCGdgfo0ViT+ji1QQysE8fuC9TjBJhgYRsN5JAKu+I0O0VWiCZ3zACRyiBtJkZI3fNKP1t5nzpXutGI1Ag08bMbgnFPcRbTchVv6P6RQEJ5CTh361PPyOBBI4QgWR9eQYJpItIjVpsdJSwQKqJSeGFLny1wAKpJ/xL9BJhgYRsN45ApudHmPYvpECGn7ECbxICCZCZVtVK/wliASTP3PNJcbHqCUAuFIiPzmdapQkICsRF+eO0TxQJhOY8xGofEBTIKJ1bm6b1zJBASqmAtBudARJIE+1Px1e9sECCm59lJWt2wwik66eWDCI+QwjE8xUi8JIlkGHqtoenlP4d5KL0boNNRQnEUWSNUKBA8ulGKsXiXFxn59hCJoB/4KFALjF+CTOzoEDSGX8ivhpBgXAl7H4skEk2W30n+nbCAuEt795PresD7s8v7g0s+fYXn74Kv7kly37dZoR9TgETCzGoduXxfszHCsLFggLJWJN8isdc+S8UqRQwq3P7gvjDcEzblp+2KG0MULVpMSXFOjbNxaJOtj/2kTdH8QsqaglxErwsSyB1/0LIIOJ7lkAOfZYMLDIFcukXpD5slSzVJEn/CBlwnMOERXvcUxw4Lg6djrPTwfoxLwsKZA8XQMqvqxjj/InoSuFqV/mc2wwsEP4QiIcRFojA7P8Cv6x7L8H/5k8PfHcFmLjdB5LuN6I+mWdiYQbV8oxmjpWF+Vg5Yi4WuCgfm5J5/BUowLt5CWDWwqgVc6QNfrA158RCKQlQtWkx+Z72IFws8mSrfxR/VX9B2nojKZHmZZkCKadkEPF7UyDbKH+EwxBI208pfdhGlX4WRaIxQ+EgvYRSiIGc9rjruUYqrfUjgWzh/As7kUD887hAbB8SiJuvCeXJuNpb+YB0FglkNe8vDgtEaDu/BkqeQFd+hFZ+ZzNIexl+UBHGvqTpAp6JhRhUgeUZx1i/xsc6IeZiDcXKM2TAxFw5U/JjSWDWzGIvaJCkdnVFSeNwVCwgC2mx94Nxsfbk/NIKdN7yomq84MAmPSmR4WUZAqn4PK2DfEMgO2n/F6cNcByjj9lA6c9iBGLHVz0okIsOkUI87mxB681DAhFkiaxGK+lXBAU2qVAgoprqkUCOCwKr1XFlXOBfGMJNPP8H7K9IIAVvGrPtI7NHwKIo2Kz/xpiHOVPAM7EQg6ouPmMp69f4WLliLlZqlJiLBUrkYkAGBhD8bbHU5GsrbVQXpAliQblYe5FAjMB7Ntl8gTkGYXhZukBavkjr4DsBXSBHaX/EAn0dZJBF0J2EAqlnBZKMrnpQINM0OM6h3QZBDI5bMAYFwhNGJakwCDhOOgMFckTgTwhAgbB747GdG1c6Rf6jYYGIbOdnv/yqNnEf+NMTjxWBN2Pg088Yn1ReAc/EQgyq3PiMP7J+gPlYxUIu1tTcKHm6SsDFAqXOYkCWUOFwwRcdNQUjdfmH/ILYs/IqIORibci51wyMf8824R/RX0AO0kleliaQse8zOkjVFwo9dMcr4rP9mkACLEnrAT8UyOROViGHA9pCYTMtEAcGu4oFgvNBRLi3xb4g4LgNUCCZooAbCiReFDgwrgiz4RdMhgUisJ1fq/3ib42Vor2fHpv3Lnz8X8bg9WABz8RCDKrV8RlzWL/Gx8prEnGxmqUlchweIbJcrKKjp6IZYBZolTLh/4690rwDgTKamQVjMfIa65xILlZ0zi/MQJntzgM/sr08il9w6IS1dkfmqmsCeYbRx48CmkCu/n9MYIN+C7YtjD7Qe1f6gYsVCAKzI4H46FGIowhdscVdLGkVFIhdFKj1Kv0iv9RbV1Ei8tuDkRU/GFf6hDXVhgUiMDgGafq3+8YAQNtR2yIG7b8BYPTLxqTv3gKeiYUYVD+Jz1jD+jU+1vEcERerRponl85HCF6Wi+XYfSqOAWapO1djcibqW5e7aGYWjCXLH1hMLpKLtTTnUTNw0va9xemzbIn4BWnrt5nvlxPIPkYGETX6PQpfY/x36PcobGD18aqKBTLOw0dHtN28g8wlBKnM4/YIW6nX2SlELu7zKio7/YvNVVch7DFJ4672NcLAiOKPFvmPhgUiMDSL1fHt2wfAOz1QLVGg+0uj4Og8I3q8gGdiIQbVofgMJ+dHlKv3c/aKuFiLpWi5+4AUx3Ox4tPyrzDArPJ4vEZceDBhvrTPTTOzYOyYvNBicpFcrKU5z5qBbNvPVXDA9gJ+wcn1j5vvlxWI958ZHawEmkBkxv9ZxI0QgeNmoalbtBfrDCeQAn27exOjkC4kkKvC1nve2Sls78u8CkgVBQ7UVagfiAIXXO3CAoiLxae2Q9seFghv2ff8zape0PuDr53OfHD+lsPQk/HihkXmHrnCAp6JhZ4XxGf4WX+rH9OsTgTlYhWLuVj5Kg3M6liGJmr7AgUoudRJM7NQrFB+2zwnbAYXa07O82bAg3paZ23aeKNo/Qvmi1mBRDM6eARdPKFAArcwATTIQgIpYC8gp1EACUTleZ7jOjiuhhZIkQ8tFO4StVLExRLhr+YMKezyt2Y76ipAgShQ4WqvEApkUAHlIv/GsECCWkC8kA4GC3gmFvInxR/h/Bof60S1iIs1vWAp4mJFc5irvtKWYkABs3qX4fnRk6WljeDAvH6KmYVjXvkh89g0FyvHOtmJW+5WYWAFfoFrfbL5jhiBDP0DLYMf4AluKJCTjD5W4wICcJzW+cMJUxMc1aRWT5jyldMKaUMCEQ66a6BAzosC/QpQRbcz2A4FMrFIEChxtV+NEfhjripgSlTAHhZIyOZzCJhYiEGVmMH5NT6WQ8jFAllRsu9oFI+5mphbUjRAArO88VGx0DZWxLoaz86rBGRteky+yzw2zcU6RZzsalseWPLDXvyCo/usQTrJy4IC2UTL4HvaSjcUyEN0QMdiuz1tjD6WawEto3CAHYZkGhmFU2X0JURFmxWTBa30ItqsKICSRiHsj0hS+9FmxVJBwONqB0cF/u1oL5ZLEDgYFkjI5nMKmFiIQUVwsQy/xscqbhZysdQ8edX2TgHm6kBq/mYSmHVM+7JW9azNPpiC9nrPcDH5A+vYNBeLONnAxgceeLkZ4BecPmO8H5qXBQVyDyWDm/TN5Z1OL62PWL2A28PA4Jfq2RR6ym1XMi0QCxzHKGQQCcQbxzXSedNIIGP8/OxqvN1dMKFbggSiJvGBHiiQMf4IUgUSSGATHwhTTUK3T/pmxf6/I2VwlzG73ek8Teljo1HA7ZlL6WOreU56TnoPA2OzctJnqkmBtOB8EP6KsE/LB7nCNexsLBD/Vq7ECM4HmVzL+lfg3bz8XQqXzuDt7l7u3iELp8ICCdk+6QLpJGXwtrkbvdO5h/B/8aRZgAbH3ZZnnZMBbfBSUOhdBLQhQM5l1WsZhQ1sK72iZxS2M/tNFgxpCVNT25gCR/SMwlF2SrdcyweR2SM06AlTPewiiTO8kh66fdIF0vtpSwZHLX+n87iljwe6rIDbs9jSx+86iHMyqSZ+EveWTVFN+otMgTTqKbdtdDNVTKpJPz0gdxkptz76nh8rJo2U2+l9VGCHqmcUFtMyKDBTbgfoi05SICyQ0O2TLpCBJwwZvEFwexC82pjd+noKOcHn9lQZ8rjzKEn+IbE/3RYk9wqN/fGZF5EuA/szTjZ49GID++M7RawL5lk56aBxmeVf6yWwPx6i17RtysxJ7yK27i6sBFZOuo9ckUzzhXfz/hn2iRdI178jFfzjOxcpf6cTHP5HFLhlB30/CLcH7MLyeCSVDpACAeByNt6YldzMcbEmmvDWxTOqxcXqOaQnhuzC0rC4WCOnVmiBzWjrvMXF8rv1zShL8GdqcbF8JXr+R0IpUrUBbVBr9X7Zggy8DcziYnkz9dmARJxFExZIyPaJFwiYyt+eUjjN+NFKem/a9v3n2QJoq0nX8QPZl9kALRD4wXU0Nrb6ROC4gLeraxhQ4Dj/5aqysnP6uyLBcWp/fVlZvUa1I8FxYLyhrKzqknZto8BxY+fLymq6tGsbAY6baISvb9UnuylwXH9tWZlH5+aFBRKyzciFYpOVEANO2SkOKKEf4vrVVFYhtPKa63VOzqDnFOrJXr+agn5OTkO0YYFcq/mUS2KrKgwSKHSL/e1ymzhQE6wmV2WQgNIi9nuCnWxRRZCAfHlIaJfLgxQoKQ12To1if2OwcyotCVZTvdjfJAcpUFEUJOCsFfsvBqup3rjShgVyrfYJ72IpXrHfW844+tb86l+//UwTB46bTHvu+/98x3ZV72K1Ht24NN5+8oI1fMddrOmarPSUDFcr+QngLlZnQfqew/lnqeEM6mINKAd3HzjdOEX69S6WV94Vv3TjnlLrlgxaF0ttOLg2buW2rFbr2HoXS714clNC3Pr0GqM6vYulnj24cenSrScvmLMQ4S5WyBYWCLKO17U5rX/qpgUyukTPRfyTRlbcYUwJLXMae1uQQLr26HNaSRVWk4cCCZg33iywmjsSSKOxiiITQEZtodAC/+w1gABYIB0rDf+qGqPBawK5aM4Xx2Rrh9cEcta8O1t8qV4iLJCQLSwQ+Pu/5B+NueAESiAH/9VcK+mBAhkk94es0AfIUCDDxAat5CajMBQImWFVbH46zk7idrm7KsxdZEggU5vJlYtca5B+hvSv16WDBULdxnMZJklggVALiOu0LWhhgYRsYYGAcz+w1gxfJAQy9DSx2J6t9KtU48WUEIAFkk3tPSnQl+s97hHKv39Ir9fZSd3R+ZBxikggDPdnK+6bQYH00KlUsfiOkVgg7G1u0SeBBFJJuxfiEmGBBDcMjlMLGxh3WCBHyMT0tyyBnP8muUslU+mvZ5qilI9e1qtM0Zuz7BnaiMPjrqX9yZe0ip2d9Kb5JH3aFwrkLHuIdQgQBwXCZZbg+xhAgTSzAbSPGgpklEtORJe2sEB4s8BxANTPzvF/GDjOgLRBU6sE4LiJNQ/e8VtFCI7z5ufL+fn52xM4cBxocdFEOQMc5y9tVP0CoFzndvmNn/w4NHBcxre/dF+14e954+bHvMD7xje//KhMCoQgylkCSaQ2Le4wBVJEk4IalX6e6oawKr1KJyMQezpWiMetsAFt54qzk6U/aN8GFMhO7hDbA0ggQ5xfQgufrnaVz7ldPIIEksP5Y/vDAhGaCY4D9b9EQ8IPAcfpkDaAQHHxGRxQDsy7b8Afc6JBBI7rkKJklAfdxoHjQE0+TZQzwHEFWSijMI/zL4yS7/7D8pDAcXuXre370j9puB1Q8g/vjkLh/vwrPd3/6jCX92iinCmQxZQMIroMgeTT+vhyQOnndsdKUgsSyEVWB/YjaFzhcTtYfzK+J5Wzk0XQacrxKjOCTHIFCUSQOLhkHAmEv4BI0kEkkATev0kNC0RkJjguMKsK/f0h4Dgd0gafJTwQf5wDyk1+JwqAC8dLROC4rvn75aNHo5by4Lih3QUqD4eT2oEzOz12TlQt659ZPCS/Ikl/DAUct3tFNnghQgOjtH/mfuQvingXgDmOg/obYIhyhkCW0vp42JjmLflHOvAuUPqi+Da3bAYK5DInEDvqt3rcpZx/D1K0s/ME609GK91e5bKguS8YhgI5KdQBFIgoX0oaGFfGRH53WCAiM8Fxri8n/eJnRR8Gjksz2CBn57wZn8kB5fptP7kCCo+fFYHjruyHY5AWxF9gwXGpSU4hOA6UOBpF/oFjdXL8YmllCOC4yhRYw7qI3+G/n4nAm9ftETGw/+RYor8jhiinCySFlkFEkS4QljQXcQ4KZI6gzSFowygvEHRJ8LibeD86NWdnNedPn0ECEaakHwkCjpP6oEBEye3SqXGh1KTValggAjPBcR98zqMm/NP4h4DjdEgbAsXNjj/JAeXAA7ZbdjwiC8Fxw/VQICkCcNzU3KSiQJUIHFcqN4qAcqovV14ZHXU8BHDc4ZQ0AA5GPID8Y38bMe4fRmOLXwPwX453rA+CJMppAnExMvi1zsW6+u9M4Fm0F0vEoIqd6VUAl6hut6f6oUDGBcq5gAQyzPuLkEAuipr1gmnxFQR+dEHAcRuCgOOky2GBCMwEx73/KPxgPuX5EHCcDmlDoLinkUBYcFzTnTbb905dEIHj0CzWQDTNgMPQhmYpVVnAEOU0cFxRfkaUlBjggXIH5MVSZijguH9J2QpPOuLHyO+I+Oft/xDxoNcV8antpV93zLE+CJLmgAUy9K+0DP6xWRfIK4w+PncJCUTIKPEgeLVACGfROggPQbHvDaCFQg7za7cPQIEMCpt1Q12FkFGyWA0Cjou+GgRBVxAWiMBMcNxa2D9R/+5KcHCcCWl71gueRAJhwXFVD628xXY8XwSOQwI5sIFmwGGB1EjJDpYop4HjHNkZMZLk4IFyu+VXV/tCAcd9PWXFNlAY8SDyp0f87VtbPxcRpz4bEfG93ziIb50TyO8YHaDTQAI5zfgjdgAkkGJRm0uHAhkSCGQ/EkiH8BICBdLD+3OgQFRBgrkknayr6BG29yvBwHH9SoDnxEPbExaIwExwXOsXx0HNL9Tg4DgD0oZAcU/GnxhiwXEDP0xJWPqnnJ0icFxCQoI830Ez4DA4brGUnN/LEOXK44ebEhLic6orEXqWA8odk58eDgkcl5Ky4nFQotFMDkZ8VQXbI+4Fak3OxC8cVs4sJ5BMRgZ4CAMFMm1jAo+gQb/SPypqcyvQVpN8gRAwtOEY78/Ee7FkPuD1KuCA6BApdRVglSjgCQaO61PESK5NYYHwZoHjwNFXNs/v/xBwHLYm2wsYFBef8SgLjjtiQ0sBOduCgeN20Aw4AhxXzIHjMIKu8ZwESzBAOVhOfiM0cFxOyvIXQE4EVn0Z6ml5Iu5Dzyc+5xi0PglGIP7v0jLQgFlQIMwtQyK+g5fAlX5h843Gd7ndxbf3M0ggAwLlzCCBTHEzvfYqKJA2UbPeBgVSJAqUBAHHRY0poEoUSAwLJKhdCzjOgLQhUNwL8UfcLDgu21YPQOfxIyJwHGzFsptiwOldrOkFqQgcF82B4/pKSxvHoyQn6we9caGC4wZ3L0sCayLKQepq/9XPfEUF5RrmamsEuVDICGQ/LYNv4DUKKBD1O3TgS9rOASiQYQE6d06PAoPcnRHsdgXv5vXwgS6NasL5j6CtJjzTRLuC+ESj8XJX+wR3Eytoq8cV4BONTlLCAgnZSHCcBWkD4NV4HhznvfOFEX9MZqMQHKeulyeogA6OA1lJTkAS5Qxw3MRcZ8PAIqmR9cNH+a7fL/hxKOC41A9OTt38Q7UzIuIUiI7IAG//fReiH/zvxeRWE5IoBwVyDyWDr+p7D92eSlof/1SrBdBuXgFkPVbLKCzg2nuullHI974uaBmF51j/DiSQLkGzzkabFTk6CrQmVzsQ3UHnJNqLJbqEnAoLJGSjwHEGpA2B4uIzfsAB5Zp/f8cv5rrE4LjaKNlHBQxwnHo6fwVJlDPAceBATvrmMt4PH+Wnbr7ll6GA4wr2fuWmpy8D/30394PAom9/+0HYEOK+erdM7MWiiXLe8j66G2Ukr7o98VTgn3V9aPkgfJd/uyYQ/3G2vRdoAvFxAV0goJYNDKKanHyzvoC3u/NLITGTUCATgitFHxKIiDR3JSyQkO26bVYM+D5emxVzSBk8aN4M1+2h7iZyc6tZExKIn4OmlxpsXnZK163npHOBbiMnvZH2b0XoUaAeYo+wIoAF4uf2ae3Du3nPcTI4rG13n+AG9tvDK+mh2w27m5cEx821yL5uTyQReP6qVRPe1eXbS7e5+BkD2hBgtiYOGdCGAH3fnaSACW0w86ywHdQyCgMHmWbdqGcU+hie78I+LR+EHaevntQTpkaYG3nG9oQFErrdsALJM1XwNQcRcHvmm4HPp5E1adse1UKq0bUQVJMWEkp6mqCatJFTVtUE1WQijwjUGVQTeqSTa1JNVPrWzm4jo7AxlnSvGjZTbidpdvbZP2M3L7Xz+/paWCCG/XUKZOormgo+t5RKGHd7Lur7eD/z7iAZMLE/gxbgcPEFCvszUWzuYz8xQ2J/psrMnMN8lcL+XM4wAlkBE/vTu9v61S8FBPan21rdiEPvWM9JHyaGRodQAomB/VFrrU29CWjHcKgCoXd+X18LC8Swv06BgLrbIyL+r59vZV7g9gDXrRERf/uTDYN0gOBi9edtnIt+q/NRY6S4WFP1x3fAxn64MUBzscB0YybSSAaa3CMFAttsYSoMpNYESC5Wf856tBS+JgenrBNcrJ7s1WhT8aoCrGqTi9WftQ67T2gLSRYXS63dh0bx0dsq8ZcTqkDond/X1z42ApkUW0NJkEDRebF/XL4qDjQVBamppD5IQBkW+1tcQQqU1warqU/s7yu7evVqb/foVdaqq2B0oGeUr+kK+ddVr3dEe9apMC8cHRnDj+5KJjAyon1AznYmMDaC6+qTmSMYn2dtBRMY15+6WoSvnxwOVlPHhwjki0uGhtgfJnrn9/W1j4lAZuS/oCl/wWO7xOasCVYg7aA/EwAAIABJREFUyMn+Jd9DyKYY16LpiN8+ydj/8+nPfvaHTOugd35fX/uYCOQG7WJ1BnvbLfWc64Ib9YmMLtbo5cvU2eldrOmBvqt0MbOLNdndNULuYzC6WNNdl/v9hF/vYk0MDM4AyrQuln+wb4z2E+jRqe5Or1WX1cUavnyZ7CCZXazpiP9iJr+kr28EnNE7v6+vhQVi2MdaIM6XvwAH7Pd1aQK5moVvNxt/wFwe0QRyCS8HphQQ91HQBTKt4MnW6G1VBPYH/hdwJ6L82uidFkkLC+QcvvvIgVLyvJFARvPR4CbldAdJnNcFMpKDmVlzt1fqx9AF0puB70GyZL/JuQtVIPTO7+trYYEY9jEWSOHP9BnfWVggTdaE6jqDFo8EUmXO1aa3mWWxQJqtRPYlpXozRQIZSrQmqhT9px8JxNrlm0eRFQfMKeT9LdbpYYGoirVFbKl21cICCRD3Ption1aoAqF3fl9fCwvEsI+tQIZetpYMa6FAaELCUa0jBAXSSq735U7qpZFA6qkSWzQ4BRTIKLX3cI1GdYMCaSBrqjB+9+sq1AOE/6TZ00IC8dGLHfvRl4DvUUj783BloQqE3vl9fS0sEMM+rgIp/waxpn5M6Z9hsCaJuHcPBULdk81uEEOhQPqZ7b/L8DgGCoTZNhKL78IABZJK1ZSpa62uguZCpBjzxEgg7PawbT5NINmMfw+6ToUskP+D9lcjEI0YFywq4mL1JELLyE/sFpYoDo2L5c0/jQL5gpb6PyGQLd8xgFmdcZqhO38MOT9aIKnUpsXTSj93J+ZV6DR7FRqgCNuvdm8RKBBuvyBOCHN2trJ+Cf3oeBUvU1OaNsCuq6hkAue0U4QC4Tft7scC4XMQUd5AWCCEEcS4wdXfgL8rY69/4XMvjLLgOAEXq1ZLmLLdIQDKeaugQELhYnVISXnQH5XAAeJAaW3GmlXLOX/bdvn3P752cBx6zNhiCwKO+1GzAcwq11r633YhQtYcSiAEUc4UyDpKHxG9Sj97d01JsvuRQPjEWoxQ9LiHuQIoBR8KJIPzLxpAAuEQdKl4ZqyuopANGOhRvyBPBN/Ekz+EVBIWCG0mMa7t0eMRsHUfWjTq/pe5zPYBERfr7M1zFy/ekhHFAeXGT75x0wvFzSFxsbrmZzmOHo2bw4PjgCvt2CkBUG7rUvnuP2y6ZnAcesxOaA4CjpsNDGCW5+9efOutt256BxOy5lsCoYlyhkCW0/q4HQ7SY/k2l4sE0sq2XnsyulB43CLUggMJZDXv3xgQCcR+EA106ip4whaeRnO11wsOkRAYV9TFvH+hNywQykxiHACXkUDy4Icd8xizfUDExTo/F44oVh/pZYXjuvm1J2yvFTeHxMW6sh+OQSbmJPLguKHs4wEBUE5dMS6/ERUbda3gOPjoT90KhOC45x0vmMCsMy/C/7z/1oUJWYtMgTBEOV0gdlofEVuCcLG6oUD45ED7QbzV5JigwIJxKBBBZqJUKuhiQSsASCCNnD8JfbGudnbrL7a6ccUr8meEBUKZSYzTBYLsibXM9gERF6vrFPxSEFmREc6V82Ch7Z3i0LhYw/VQIPtF4LjUrFIROM7XVifHL0hLvlZwHHwMCo57xRFpArM60F2g56OVL/BGxDJTIAxRThNILqOPL43DK8hcQZvbLYBXI6tEAkkXtdICKJAYgX+pHw7Sk/maLiKBCEBaR1QkkHWCmqTUceWSyL9gMiwQ0kxinCWQ1gemmO0DQi4WtP3x2TxQDoBYW1Rxc0hcLDSL5Z0nAMRNzc2qrxUB5UCO/N4hf/Y1guPQ48Fg4Lj7HA8BA5iFP4e/xxTcNyKWk2MQkiiHBdLOghW3oJX05aJG198L+/t88901DgXC5T4hWwUFIgDnwqEDFAhH87Xb9/rQOshBPlCHBCLgBSNsr9Ih8ks1YYGQZhLjTIGM/aab3T4g4mKhp0/F54qEE2uLKW4OiYuFBHIgkVYOBsQ1SzmF86T4SR4cFyc/M++Aco3gOPT41ZSNo0Jw3OccvwIGMAvZy5iOwgvEojkggfjvZPRxiw8JRIjYcUCBcMmz0EqgQAqErdTr7EwW+fdDgXQJaqpFAhFQIVJmgglE8ioCHDy0I2GBkGYS4wyBzLyDVl7p7QMiLhZ81vSd+ByBcJrm/GFO/plQuFgA3f4gKotWDgbE1UjZeXvRTTY4cNwG+W3YeblGcBx6nJ2yIlEIjrvV8RgwgFnQ6j+ljTA+QiCbGX1EoHkzpb9G1Oa2QoFMCag/yQGPW4jalZqcnUIEXQJaSRdcjFJVRDXhMUHwEuJqXy88RK+iioY50vawQEgziXHwIQIORvxvlfX398/Q2wdEXCz4/+8fQl0sTjio05B3IRQuVlNCQnpeoptWDgbHLZayq92IiyUAxy3cI629RnAcetybsuIFITjuVjQG0YFZ0H6lT959uEAG/4nRB9av0j8jmMaS4uitJpZd9rh9IiaP5HZ2jon8USgnXTDgt/egvVgCEHYGFIiQNCfBmvaK/BvDAiGMIMadeCXiPSd4F3/bZfT2AREXC/VfViH0KC8c3MUKhYuFwHF51bRyDHBcNgLHbWPBcX2BQvntAmnLNYLj0GNOyvLZQnDcZx13qQYwCwA5Qs+h/XCBLGT08QYOKP0gX9DmMBfLn84330qPW0AigVbj7BQTFPthTaJRiBvv5s3hA+Ou9lpRRQuvKkJMkLQ1LBDeghHjdBNysQKP39LzwVERvA0LJDQulnoof4ZSjg6Im16Qg8Bxmaz/ZKlXfmj/vMRrBMehx8Hdy5aLwXGOH2SbwKzArZ/RV+hfiFgaXCDTX6D18bg20QEFMvUB3+bm4t28vXzrRdgfIYz6IhSICEGHryBghtfaKSyQyX1coN3VLryq7RpXQECw1iIdDAskZBNysbJtC8CeDBFQLsr2fnGIXKzapNOAVI4BiANZWcVgueRm/RWxF+W7Xirhjh0EHIcf93+QFgQcF2MBsw5GvIbfMiJk/ebUbuszIIlyLfU5tD5+pV9s0W7eC3ybW67lg/ALFRgcx95hE9r8SbSb18UHVmj5IMMpbE2ZWj5IPzcH3OBqB6KJADfaiyU4V8kdFkjIJtys6Pf7QX0OLxz7m/9u+35OnqDEh3CxAs1FgFSOCY5THYdWbNvN+XvWRsuv3ckdOyg4Dj0eS/5IcJz2rgwjNivSRLmW+mhKH88Z6Ro4H6SQbVXSQT1hqoJtvRg96t/MFUjG293VfVzgmJ4w1ZPE1JSr56T3sApphAKZ4bHWH/jxdnd+mXJheB0kdAvv5qWtpf4JUh9xZgdVyyhk98hKbQa0gZ3rPYvzQca5nk6HljA1w+3s6jGgDQN76JoqDGhDPzOVdRnt5u3mOlkNWj6InwO854dX0kO3sEBoa6l/ilhAzyVq0lJumb5RikU1aaV+4HdNahmFY8xE7HEj5dbHXEMyLarJOH3XhAGTajJGcUyT/Thhqm0RKwM9o3CGmcna5A8LJHQLC4S2lvq1pj6e7yMCRk56O9mnWTdBYH/GyPtGNRg56b6TZCs8EDBz0tVychY4xU9gfwK1hNhkAvujeogllzN6ym3PWvIIaP+NnnKrniYDiePh3bx/hoUFQltL/Yh+/5zHquiaDC6Wv8Tcc3JwmuZiXTJ/4esIaEO3yQyNw3dGNLlYYycNicyXVUByscBkqTEScQRILhaYKDckUm7mpPuLzU3vidhjQhv6ze1gC06jbycskJAtLBDaWurB8Lyf3fb4uktsTRY4Tm3P27k+cdcp7KHAcWCkriDjSLYbnT8BjhstSd+YuPVIjZakS4DjZs4c2564IbUMb3fwUjX52lxZRzJdKBuXFAiUQ2tR5pGjJWj916SaBM5lbt24aXeBXrNFNQETlYc3JW5Kq9TwkWGBhGw+pVFspc4gAaVM7G+QG8SB8mCHKCwNdog6sb8iWE2ukiAB2SP2u4PVVFZ1VmzVQWqqloPUVOwKdk5VYn9tsHMKWpOzQuyvC1aT+4z+tYcFcq02o5SKrVAOEpCdYn+JXHKdaiqVi0OsSQlaU5HY7wpWk9PVILbCKnGBoqA1BftkZVeINSnXrSaXkXUZFsi1WriLRRu+DbTIynCGvr9JznJUDxF+rYs1fraisr6X2rSgd7HUi0W5eWU9REDrYqld5VmnKi4RRfQulnqpPD+7pJUI6F2syQZHVkEDyYHTulhDZ8vKzw2Q1AHcxVK76sqr26cAaeEuVsgWFghtHyqQgKLfp3lNsQk/RAKZcWrj5t1FRPPFAvGd1nNfl+WZ7wkLpEGfDFt0zORfaQKp01dOFmaYzAwskLGDeprV1mpTO0ggg0e1Y++rsj40JJAhPYXkZBshnbBAQrawQGj7MIFME/eXWuLW2x0UiI/YpF5o/mQjgYxssEoscOgNGwpEzSRa5kl9MwsSiErm0B4xsT8AXCJutbbC+AagQK5Y6+67qoydAlAgI9aOlSMWnSYskJAtLBDaPkwgdAptsjYxBAVCbTPZbUx/QYHMrKFKbNWIb1AgCuVfodEmkEDo/SEJ2qwUFMhIHBXI0rTmap/ZSx77oH7LBigQ6uahZYZywgIR2EdxsYIEwgKhraybvYn5ah0cF2A2T9VoBaBA2I0pK3B3ytk5wiSKLMKEAMF90hdizigUCJvenoI/a1d7A33oZJxRDAXi20H5j+rXorBACOO4WODEnJVPeVgulpNCTcEh4hVgguMCfCwYOA4JJGNN8qkVLDgOCUQdGCJKGPyrzvy0+MN5fIHJDPm1O0LhYgG1+Bjnx28iUf7jNzlg1vj873zhHXnFd4SBvQrxERK8LCgQjiCyAh28V+mzM6aNqT3uKQ7OsBwp39nJbfJdiEi/CNrABmLRMLyuYpT1SynoZ8/VnsUeGytqXOln3DqCLiwQ0lgu1uWfqKD8QYaLRYHjALh6v20f0MFx3+vdwcewQATgOAAuysemyIAOjoMCKVouJQv4VwuzD82R5vSwBVT7UvmeqAXXzsWCJ5a2gfPjN2Fz/LCcBWaBl7/Z61uR+39zJC0cyEg0pqhoXhYUCI9a2OAXc7Hw/JXHLchm2q4igfB7fBcPI4H45nGBJSNIIIKbnucDJJBU7tgI6ziu9LBuDUEXFghpLBer/PODQHmb4WJR4DgAEh60HQAYHJd+fGngp3wMCUQEjgNDsfIMGTDAcVAgjhXSAp5/NbO4uLEe8bGYAq3SUfmtk9Ir18rFgif2QNoOzo/fRJzjlxwwa+JvZsM+We4t4kDROr1ryfCyQNmVKL6VZiGBtHGNFGPdPO6TfAGpDAkkjvdvVhE4TlBgDxJIliDQhgTCp6qnjCGBsDhUOD4JbzVhjeVi+e7+t03REwwXiwLHgbNzYmwZGBwH6o711tn4GBKICBwHUqNkHxkwwHHwEKdh54TnXw0cK228hFIPmQIl0jY5vkh671q5WPDE3kxL4fz4TTgd73PArJ6IL10C+3KfFwccG3R2OsPLggIRgeOuQIGw3RnUSseRQPYLCsRNQYHMFwSqoEBESU7SRSgQUe7uOhXlpPPHzkICUdmkErTpMSwQ2jguVsX9X/+2wnCxKHBc4IXuGNsJDI4Dh3NBro2PIYGIwHFTc6Pk6SoBOA6oR1xQIDz/SvWVNtZIc6bYAkXSXHnVcSnqGrlY6MRmp+3h/PhNzHYs4YBZwBbxmZUv5r4tDuw+bX2AJC8LdrEEv/t4u3tgJ99KC5BAhJnnJVAgSwT+hIBXaREV2AkFclIUaIACyecPDS9f7CyWeVkLC4Q0lovlecQ38/7/GqC5WBQ4Lns1iLFpBIXu5S5wwCaKicFxzdISOQ7RLTlwXO2pYigQnouFZrFOSuu4Aq3Sk/KSZdKSa+RioRN7Om0v70dv4t8cSwELzAL1/xwR8Vjuu+LAtqPWhB+Zqw4FwsOroQ30KiCPb4z2XiiQHFGBjVAgW0WBc15FmMMueesqOLA8smQoED7V127fr0KBCPp9e8P5ILSxXKxoOA6Y/n87aS4WCY5Tn/VCEWhJQvP2lIDdNlFMDI6rkebJpfNRe2fAceqWc0ggPBcLCWQVumSwBVIfl2enSInXyMVCJ/YkuoIwfvwm7nXEABaYBVzfi/rMI7n3iANb1xkMIk4gsqiVInCcoDHa88WDdGjjzk4RHkU65FVUEYJBKquruCLyR8+42icEh7Z3QoGoabz/TFgglLFcrG2wj37xAea2WiQ4riimr+8920E0jdP03fIScMzGxnZ8kJAgBsctlqLl7gNSHAuOa1oSk5a/C/VFWC5WQkKuI1ZEmlOT5Zgd0pFr5GKhE3syLWmI9eM3sQqNQRhgVu/f7wUdr+T+qziwb91j5gfICGRA1EoROA4IRgI7pzzuCaFAmp2dwvaOoA2iUYuUUVcBhNjTVlc7OC0QiBNtNWnh/fvCAiGN42L5pZht8YPMbbVIcNwbeGbUBn+lwe9fPFcC3WzsSenDwHEzxdJCFhyHuViw1HwBFyvnYDlPmkPnJL8Vu8R5jVwsfGJp6x9l/fhN5DheAiwwKyWiE4CU3M+LA8q6X5mHZQQCUrgmqoPj+DuE2O3NHrewAOZi8fO8kjR3SAHiQQgUiCIKVEGBCIDw9jS8WfEEH7gSFghvH8HFIsFx9YWFhS/b1lajjnwmFIj3JlFMDI6bXrBU9jVJ0Sw4Dlw6V+ncLkXFcFws0JsjIs1B88oPSLU8k0vMxUIn9kLaRjfrx29ikADHGcCsgxFueA3L/d/iQMm6peZnwwqkW9BI5+DdvAV8YyyBAmkXNWs3FIhwugqB4xIF/u1QIFOC+31IJWizInvzKWRj6JxGeVR8RVggIRsJjkN/v2rbDRA4bgJtNXlfEANBwHFZUbLvaJQAHAdaindK63guljc+Oz12rrSCLxCQ71rHM7mCcbHQiaWt5/3oTQASHKcDswb/+T+HfctzI8SBw/YR87MheVl4N69g1K2B46b4Hn8+2qzIw30k6QLazSsAYc9B4DiRpFLRZkXBUqHkRgIJCHC+g+icBNe17LBAQjYKHAf2v/pt282LMDgOCWRSEANBwHFqnrxqe6cAHAdcBXOk+Ss5/tUxKQthN6K4Avnx8nyeyRWUi4VOLG3jDzg/ehOABMcZwKzGX33hu8uUV8WBw2Z6K83LwgIRYK50cNwgt+6QhwQyLpjQHUcCmeCX5Zfj7e65fAEZb3cXwHYx9geM7eGEoGeWNLD+MN09dAsKjvvYb1bEnLjrnDB1dQXbrA7pOek9LBCxGOeDdHCM0R1aPkgvt6qigeMCHM1K6scCmeF6X0tVLWFqgO1L7TZy0tmbJhwPCyRkC+/mpe0jMgpH2Vs6dRjQhqG9dGNs0zIKm9iZ24t6RmEnO6rQwXE+9ta4u/WMwvENTEA2oA1DzI4sxYQ20Kwue1FYICFbWCC0fYRAwDQ9rDhgUU0mc8i2mBbQU24v0/ehPWZSTQboBp9rpNz66ZyQxaNGyu0MPXBZ7zOpJhPUoe3DFtVkiLo1VU9YICFbWCC0fZRAgOomxhU7fST257w1GkjqMbE/k+QdmY+oFvbHX0CkhRxSLexPI7HqEd9NYH9qiBtKrRsjsD/gPHH9Ok9ifwJua3TkDK+DhG5hgdD2kQKBv+TFej8rzqnSXCx/w2GtKR4ZJLlYPUf1ftZ6fHtzi4s1lq23+JW1gORi+ar0q8vCY+iTsLhYvhKdZLowHyXFWwKBh9Zns/Z3UlwsqIVqfYqtLBAWSOgWFght1yAQaCMNilx2Ee8EpcFxYLzVU3MOZ74S4DgQaKuQZbeOniPAcQBcqZLlii78lALHjZwtkl0XtJ10FDhupLZQLr6gbUIlBIIO3VJb04DxKZRAoA1fqK1pRhnCYYGEbDOyS2zOYAFZCRa4fjUViv1KsJqU61dT0EB5ldAqa4IdOujbdgYLBPMHfXdBaioM+lUYog0L5FrNp1wQW3lhkEBhZZCA3CT2VzqD1VQWrKZzYr872MkWlQarqUHsrwlWU3FxkIDS3Cu0jmCHLikKVlON2F8vBylQ6goScLrF/rPBavKEyYqhWriLRVvQLhbB5qVsrJT688KWNx568NVDE3QXC5qvYOHTv3ghsZ/uYg1mJS54e/6marTHnmbzAtC06ZVfPRxVQXexJouSFr/5/oo8vEmb7mKBjqQ3H3v4jzkq3cXqOLwq+p3Y3fhbC3exQrawQGj7bwlEdTyl7fe0/aqLFsjw2ju1wJ1NhEBaVkTq9l47K5C83+lVbSUEMrL3Ob3AC1pOOlHA+Zxe4G2fJRC1VDIOsXosLJA/w8ICoe2/I5C2Z22mPeYnBKKm3WYFVEMg44mRls1uogTSbMjD9i1bvSEQNe95osQhSiCXX7GOvcMUSFcMUeDdsbBAQrewQGj7bwjk0K02wgosgfS/RAbO6wJpeyOStD9MWQJR95EFlukCmVpFFYisJQSSOYsocK8hkJLnqQJrbniBdMB2Mu1X/dOCmF+87T0sENr+bIH442yULTEF0ng3FTipCaTxRbq5R2aZApl8myrwqiaQsXlMgXmmQPwJ36JK6FPPWUyByI4bVSABLY/a8aNXAfj7iIiIHxB0OIsfF1jy7S8+fZUDx8H/1KNvvxJ30axuDK1nnT3N+/wzUH3FTcHAcaOtokDb0fxFaaOCgL+0UfWfFtQElKsDCKKgtpcV1Wh8oqlWZB7nFFBr0lMydQJWd+au5AI0vw8F4i23/AH4a4D+TTvlAzljVNXwfLYvWJR20Uk7DZjdZMHxxUk5zIsR5G67Y+vhMfPTIIhyukD8f6L1YXvLEEjZHXQgEwuk9SW29S4wBDL+PF1AE8g0q4/IyD5dIDNvMcfuxDU5uAL7b1SBvK4n+cRAgbzU398/RNLhTH6cZ/70wHdXsOA4JJBjT3aPvPKSRkybLEp4Mg4+5mXyvsP4l65ACI6bqpFjtooCW1MLFkorBYECvN09j0fQAWW9hK467fLETJELXw5HHNiUKVCzzTuRkqxdYk7syUqyo3TEito0+1bL78Yrx/Xg+F6lZ89eP6BOeOvSnQulQ07aqcPsVHtm1egCAmaHX5yE4o61mBMHWKKcJpDA+0wbtb2nC6RyFhOoRgIZfYNrvU8PK7jA+FNMgVgskE1cgcgSTSD+N5kCN42ims7xBRJuAIGoDU1w7FVGO3t1hP4CKJB38DOCDmfy46rhb+07mxlwHBKI+vtYADZG4sRXzzPLoiOXIa5CDucDmU+9MHt2tksEjjs/b5ccvUsQUFc0FQ9HzRGg5pzZ6bFzomo5P2y6GxBgTS2ugT0RB0IFgjHn2aampiInUPccB+C0XetSpU+Dsa0o2bDCmW5Ps/y125OgtVyxFyneUvt5QJ3wikkwHLXVSTkNmF2rVOBR50tV9ItjUVypQZA7wBHlNIGsZ/VhW68J5AKrj5snkUDW8a03sk9BBfyvszUdRwIpExTI0wSymC3wOBqDTP2BLzDvBhBI+hfXg6rbHgZpty169vu/7Xz+pkcnwcln4Vfds/79+26CAvnZ/Z+9o9qgw41/1UHy48DI7BEGHIcE0hy5GTb+SJzS3d8Otkauhr7N+ZwP5B0FwcBxw1cCcvQ2QcDX1lIM25wANVfiaBQi6ECXfESqRFcN2K275KhHQdzD87lcoBcB0GrtaJIT+NHuj10F8L9SOcd+zPSDBo0f3WAvV7x19iJAHsbXBt/+gqNOymnA7Eokh+cS2nJLvTgNxZX+xTjrkSXKYYEUcvqwFWKBjN7P+t9E07z1guYeqeUBrmQL/NALBTLzuqBAARbIIe7QiUgg6YICC28AgYCH18PfK/gD9sA94xOfv//q5Bf2AvWxOND3Uy8IPAcFssY/8czXVZ0Op+4dJPhxgT898VgRA45DAimN3AlASeQS3bUtMhH6Np/ifLDbBYKB49AYJNouDDQX5W8TBUrlRmFN6lbliFQNr4uOJvQfHjVPotFFS7ULtNhdiNiRqZ2WOlWJktnV0zUnkMvwN9Tihzp7juIttueCMxTQTp3IP3TZSTkNmF2RlOc5gxAs1Iv9KK70wLj+aZBEOSSQ8Z9xjXTWNBbIu1xARgKJEbTeV/AYxMkVeB+tg+SKFFWLBNLKXqJstnYokLHnBAU23ggCeQwKZNPD2uMj8Gf98eUAvBoHktFv2gINMtAaMUjQ4Qh+HAB7Pz1Gg+OQQE5Fwl52daSBAtoWuQX6kEAYH8iOe++pP55uEoHjsEA2CQOOPGkuaoxsoCg/I0pKDHD+2iwoENjEu5BABhzm3ZinnC0u0AgvCKDDfkRzwcHGDlkFLc66Ywi5afjrMg9uT3UHrti3ym377KdBGcWtK5CkeSecjFOD2bVKxwqzJCmdfjG6uTlQGqVM46UkzQEJZDV/AUnAC4X5nP83KhRIu6i5I+wPmOCl1oQE8l+iEiNIILO5Am+jlXRuBgtZzg0hkFXwKqEL5LdQIE9pAll5D4z98VWAxhZ9XwUEHc7kx6F5yraIQRochwSShVp/I3G1gH9moS4W4wNHnol6OTIrVwSOwwLZKAx4CrMlaTMfcGRnxEiSg/WrW8ahQM6g3tU5AIYd5rzr2cZ2FzhjV6B07Cc1V29Xud3eCI6X1x2xn7D81TsPp9jt1aDALh/JtZcDF8Wtu9SSLW2UGacGs1NTjx1eLEnZ9IsldHtzZf9qcxqbEcjwj7hGeusVJJDp/+QCJWiryX5R63UggazlCixAW026RAXmo2neAvb137K1IIGIrlGRfTeCQGY/AYZvfwiAR9fCq8dKKBA4en45FlR8ygV6bn4ZLLoKwIYsgw6n7hu0+HHv9EC1RDHgOCQQZ+Q6AM5HrtddWAzOzXmcD3TVJiRE5+4WgeMSEhLk6C3CQHp+7wYpgQ3EJMTnVFdK0gbGn9p0cFQ5dVIuHu92NADgdRi3/Wjeufe4Y7jJDq9s3Yh9q1uefefunaeqjtozJk3/8BQInLYfhr8J8uaF85b2umk+XVPC/I1dTXj+AAAgAElEQVQFrFOH2WUWVkjSWcIPwB4EVAXyVvNmgqxAtvIXkHV4L1Yq548GSCCxgsb7/FUoEC8ntTuHkUBOi5r7KSSQJ7hDrEbb3WeeEhRYdEMsFJZ89bZ5y76SmfG1+2oyvnFvMXjq566TN92pgO3fvGtx7E0ny379XkIhMOhw4//msPhxmQ/O33IYMOA4JJDqyDj03z7dhcVQvTmH8wGMe8tNDQaOi94hDCTlq+nScjYALacRPmxl/NlJkiQ7HI48dcBRg7pYLfopHLHbDzrUDnSl6LDjabxhtPyDp3TzMuF/Bw0/tkH0QiAnSNJilTzhvgB6FxsLKKcFs8usqZfmBogXo14W/EA7HNaaECuQR7hG+otJLJCHWf8DaCnF2fl7Qevdh7aaJHE1oeXauop9ggKvTiE2L1fgN9NIIJdFiqq/IQTyZ1owfhwSyNiTs1VwIvICKDyOXoXFMLblJOfrQnNEF7JOicBxuIuVJgicLG0pBqnSAi7QV1raOB4lOVn/pXPn5BQppw3MyLhhjoDuDqiEIUcPWkmf2paEZqt6wAWPilfi5R3evo6SihP27d2Gfxj5e+xopK7UonsukSd8Es06HdisUE4TZgfcHqc0n3nxvH4YJ1fSaYEMcI30Vtg3hAJpYv23IT8UyLN8431lDAnkcbYE7ujVVWwXNHcZ7cXippfvQLdIHFeaBAVWhjcr/hmGFwrXR1bPvCepg2h/D1r9QB2rjBOcb+zJwpmeBfkXhOA4JJBUQaAi1l10dt5GPjAx19kwsEhq5GsCyh4JLVU3OAYCFRVgyuEYBGploR9vNSmwd/gPHgJX7fbLZ5O71I4dqNFV1GXZLf/Utib/yLFsfE778BifOK+K2IuBs/NKnJTTgNlBgRTNW82+uBLAuGMTjmMjiXJjpWWcQHJQwONOYf14bQUK5GW+9Vag3bxetsBCXKCuYg9fYJmKBPI8W0IDoCiCaYBXBsMC+TMMC2R6y2vvrhsAgbj3RkDGiqcin1qhgIZ83rfp97MXyEHAcQUpcnR00hYu0LM2JT+lS1TiQE765jKBH5TKcdJ82O8PnCsub0CbSyr+//bePDqKI9/39Dnvj5lz3vwx0/3um3fumzl35s6te9333Xa7bexu7+217bbd3ZYx2A0GY2wa792kNhaBQFBmNSBESQJJgNAKMkK7SlWVWSrtQhtaACGhBQQSEiCB0IKWiomIXCoiIxJRPLyJ/J5jp/j96hdZFRnfqlwiPzkBLqMjdmSQSSkxtWgYeLPTx66lxyYV4C/2EofNFrNfjQPxUHzmaTiAqhNFeeIYsfq+HSHWAxfRXCwiqMLsgD07p415MX74rGs7yiPRRLnhcuZUVRpO1NeE6eLK3py7Z41u7L4VgJ40NCTV6grC5J/9xiqRGe6fobMxnq7ndBXytLcRaZw1CDrZYRrEb/1UJit6vd4f62TFMt0gPSon6muCqPBjJUqFu+eYfvDukW+Y0rW0RXlUSWPVVX3BMnzvuafraargceWU+IgEwvUVuOtMg/itn4pBsH6cBhmkBukT6t1N9TVbyfhr2kG+u+f6+/TgPYSdMCRRBy1zMtSCxiq4i0vpC4wkhgZ5j6x4o1MpgAaphj9LhBbJ78o0iN8yDULrbqa7k5fLl/apifqaaiIeMapVuHtAMTl431f6Z0jyEntMb7drBdAgQ9Tkxj3KY889XQnkD452ahJNNaEsJcjPTzcN4r9Mg9C6G4MMvKiO0T+5fIn6GqBNgV9CflI0WdHuG7zR6nOnhyRQoBb8LoM464gmK/Z+pRV81aAmPF23/qxWfNjqK0AGmfQ5ZGn2hJIwDeK3TIPQuqsbpobWPgyH6FNBlV4iAQ0ytetxGH8u/DRVge8HuWRDu1lzQ470a3F0Jb34j7DgV5/Yp8gCGV6d+yUa7B9GNfpW4ukCI+t+BStesraTBfIdhY0R82DBXzY6fD9epkH81qR7jK/mUoNE6Rl+fES8yU+0lhi11GSQkAb58XaPQUFlg0FC7OfHu4w+dnWt0Xu6xI9fLb0JdaOr49JNWvXVMDvS1cG8A3cXXoz29fRQPdYvov/3dvTo+7GhUl4O9fTQHeNph/+7eb5D312Dory8eamnl0p0q9MSTIPcqSZEU9+R6n7oN8CRegbBNMidytzFouX3LpYOPepT50nyX2MXetUZ1RR6FGm4DR/Z09gf7+Vu9b1T6FFccL4f72dR2J+Jga5BZe9Ljx4FN1sv4o1j7mL5LdMgtL4Tg7TF4+OHL1PxfbyUQaY9Qeg45amYKdIgo451aDrKB1vx3WK0QRo2voCOU1b1kwYZyAh5B10e2dOB/kUbpPnrP8CCh75sMw1yFzINQus7MEiHb/LuB2ioEwbx5v1BOws1pRlkIsOH64mcoA1S965a8Ox5zSCDNt9JsX0TtEGaFmsXVjymQfyXaRBa99wg3qP6C9o+g1zSBi9UomqQs5+RBeunCIOMkmyhRapBTlAEobUThEGogseH/DCIxr5RYDgqE+eeyTSIqvvaIONWyh8Bi3p9Bil6nLwO/qZiEA9dEJDqM8jpF8kCS6dskCxdwX6fQdpfpgoO3rlBfOwbBYajLO6dvj+DdOPR4S1uJoMMP+7HCI4r9KG3FDTX1TQkMeMKtwAZhIFldXSMI4OMtHPiQLo6yG3p+zLIxFrd6A2I1AwSQw1ey4MytMGtL1hwUzWIW3f7eRY2CHtzbZdqkJrH6IJP7twgPvaNAsNRFvdO371BSFwcaFqUPwWGl/3Dz96XB4nCj7sjcBxJUIMaxQd6p0sztm/9mo2D0vy/6oc16Fi/cFm0eIwZ7xg111aSwSbGkz7/IDvah95S0Fxn8RYWl10l+XBI14cB6C10JTjaeLCsqpPlLhcbn+oTxTpeS8gg12/wEtAgJIJOiwMp5aXfLlK+gybH4dfP+CRoWfLIs7slcpsQRDlsEJZmtWBCMcgui059qKUWpiBAVAwi6guSkEGa2YL9ikFq9TyHeXduEIp9g2A4vsU90ndvEBIX1/Qq2opH1t6o+cdgHJT5cUgzg+NIgtp4XXxwNPqjOj+ziBMfryvc/Y1+WIP33/n87bniAma8Y9TcN3lz2UTUp0OTWdHDKnpLRXN1vBe5f/9+MZHiw8Ev4mRbE9yXyBTjbU49LKuyFe5iVZS7Kpj4VXeDKDbwWoIGSbbl8xI1tRSCTosD17vWsicel32zVx6f4NEHX/nXeU7th5MmyiGD6HeXkBQ2L3Pz4C8ROG6Eg/eJlg2inwsv/4KMcQqWywZpf0xfsOB2Bvnf//ujj/5Re/cE+0aG4aiLe6Z7apCZcHHTc/BE58IJaJc/4eAX2stmBMeRBLUzoXG7hTiAHi1sn+bE4TIvKk4/rMc/vAqq54ohQJ/AqLk9eV8yiVtvR4K247YzKnpLRXN1IZjIiHiJ4sMBUJZig9sq5Zxn+AADyyqDe1IVZSddNUx8bBiIYiOvJdAjptjieYkaGkGnxacdX9pagiyYlgUS/sejc+Y8mjf6ZB9wznPUKa/UEeWgQcY+5BikBBuklBnuc9ExyAFOQQQ2yOXfMhWnoUHSOAUB+Gjm5stMwUrCINt36vT/raypkefErPj5z//5K4p9k/i/DhOLe6N7apCZcHGe/xb/+2dle8/dgRcyP+6OwHEkQW3wEjgqoLt3kg4V8+KDl9pybYf0w7oXWWqJuBHoExg1V5MXxSQGAz4cKD8ePaait1Q01wACiCSJIyQfDoABp2Q7DaZ64TFIKgPLakXHXw11KKSPwx9HsZLTEgCtomTjJippBJ0W9zjW2U4nWL7CweQYvOhGP+EfOdRDLB1RDhqEue8DqRgZZOAJZvTugsOaue8DaT0yiHcxU/DElKdrQo/AxuqV4PpDmAJLBmGQSJtOv4ghR5yPfaPAcJTFjEP1jnVvd7FmwMVt/Fm91/pf0F5Bx8vyBVuZH3dH4DgaqwYyhFS4JxV8qKyBE4dDOdeWqh/WXvjLNTFf3Af0CYya8+TtZxOfBSzYevyIht4i0VxXFkgjFB/OmzUs2ZCjOz3VEgPLGoPGKG2sdTWwcWSQYl5L3nw3NAgv4ayhEHRaPMIRYTubZ/kAR1MS5P6EXX1rgYM45UYS5TpPelkALxRm8+px01Cd0CBHeAW7kEHS2III4OniEUkDAgYk3h6ZxXLlzg2ism+SrigwHGVx73RvDTIDLm7Fm3BI/Cf49Tn8Z9/DWDtkv88IjtMR1DIQL6pNSJFChYgxfRwO5dzodN6wPjVXPMCOd4Sa25sXxya6lwYEHE/0qugtEs0VtVsaofhw7RVAQuwFUOa0pTOwLPi/2qrGEwiBoo8jg7h4LbWXIIPwEu56CkGnxa2OjbZ2t+UduRcXvf4fL+7F3zo184gZ7hTNofNkO2/wvnUFGqSKHbxL0ZV0gVeRCQ0yyv7iWNqhQfbyChagYxA9AhvqK3DnBlHYN+P/ZFdgOCoT557pHhvk9ri4Ha/CL7n/fAlMfKFcW1X4cUgzguN0BDVshDoh0ZkoCHZ9HA7lXFs6Z1h7N34sRgMmgVBz3+QFsYlTXx5697itWEVvEWiu7rnd0gjFhzs+jkbp1fLyYqkiyVVOwrJuijevlpcWu+tqXCcm6DheimIR2xJcdiOD8BIn6ikEnRaPc4Tb2qstS3A05qG34BEBGlDepX+TiM1EGySHN3o/R6d5F7Cj9xQ0yDD39+AcNAjLA7IEoakmwbyC9dAg9ZwfkCZ/DPKd694aZAZcXMd/HQF1v/dOfVYxMDAwAZr3Kfy4GcBxrVbrVpeeoAaN0GoNFw6V1CBoFRVHCzcyCDusi5bliLsAk7g4DKYO5i1iEkML3EA6btusord8aK4Le/YkiX0kH+68NDLisLU0ozO3XrtLJGFZDfXgNIyLiKRVRcfBhaSkJNHuZls6d3D/MVe+zVagS5QePrjfXkUi6JSCsfNSumOVraXCsgK33jEEJoMsb8G/0p89IxGbiTbIPt7oPQIN0sYO3rVosuJZXsGXXmiQl5mCR3uRQT7mVeRDg6xmV7ESzGKDzICLA8c+jFo5AL58AKkCPL1F4cfNAI47IgihLh1BDRkBEdQSy04LQgwdR4va3L3p7LA+u/xirbgBsAkoJzKILiEGXAXDx20RKnpLQ3OBY3BbiTdJPly+vAHTB73wIP2EU9TBsuDv4ZXymlqXNKSLS6glsZRtKd5mS3HC5X59Aio/l0TQqavOtwU7PrXZNlq2a1uk1fI+9OHzHdSFQtoguziDd+E1aJBIZvC+dBMZpIE33ItAYxVD2LJY0C6gp4uHoFtwAxrkSabgyWuz2SB+6fyjo0zsNuA4iqCmGOHW6tSykSAhWx+HRzm5kWnMsO5Z3gGuix969QmMmqvIe49JlAXA7/oC224NvaWguYA3aAHcqxkh+XD93d3dObbK3nLE5hWP62FZSFWNDS5eHO5iNXBa6u9uknJs0fs5ifIKEkHnizc7Fu2t3GVpAFlxU53obEWDJQGce74F3MYgMZzRexjNxWL2sOagE9NDEueZNwFforlYycxwRwxTaJBATkUiGJH6WEchx5sGwVpvNMeJo0maoAbQlQ+0U5V7yA2+FmqYOBzWu7frh/XVZXMXL14ivlurT2DU3MGCADaxdO3NqcLYjzT0loLmAmUB0XguFsGHQyvNtZ0EpxIaPd37TulhWUhlpS6X5GbinY2iKB1lW0IXCnNt3ERNPYmg88WBa35QzRt/9MKRVzr0i+Pj59/7eKrvuQcfe2yJw3dmlyLKdZ7MZgfv57eQQZgjbgSLhQYZ5Az3M2g2r1Vf8Bd8l7mnK5ot+HgEGqSR8QfeeKZB/NYkTVADjgMhQsiBE8DrKNgcc5CNOw4U2OYtXkMP6zi0YeaKSz5mxjtGzZXsZRMXNn7wRWED+36m0U8dNAjBh4NH9XDQ7i++ln7UVUDNiMKwLCTdZEUtjiYrclqCPnDBZSonUeKkEHRavEUM+vVvF/SCqUVvXAMhT81599tpsAENvHmOV9XV0kS5zpPdzOBdhM6huHt+pRu88gmBIQn8nanIBcgg+odIzZcv2Hm66liDnEbT3Zv0/sCzI0yD+C9zNi+tezpZcaXeH/htunt+R43dxzTsD8jTj3Z84NZYtZce7X/VsD9e5sQwejsjEs3qsljS5QLTIH7LNAite2oQ3YWQD+XP6+6hLnK/2aEUQINM6h6Uk4kTjVX11GOeI9XjSU+XfhUBeDoFPEifRxY8oT7L3TSI3zINQuveTnenAHFWZZ6Gu6eZGLy7tZsS0AyqPvLi+3Llqk5jFSAg1X+u01aBZvNWkav4qhPHoUEqiVV8qd08YBrEb5kGoXWP7wdp1O4ODKlVE+4ekKkM3V+t6vYV4CmGV7eoBR9lq9aBBul/U/29ySROR+L7QdqD1Iq/FipbAF1Jz1Dt8ZHPUKZB/JdpEFr3+o7CyarIkKBgaxphBDQXq9M675W3go9Q7065o/DsgbAvv1y3r8bHjkNzsSbSl7/+h0W768gC5ZZbb/OB1UFBq+PrNevg6e5dW955a+5nCRRCxTSI35qUzvJVWWyQcFfz461iKz9R7TZqqdIgIZ7ix2uNWvKUG7XUzI/XGX3sklKjlk7y4yeNWqquOcNXbT2/oEk0aKnCY5Bw1/Djp4xaqldBEqZB7lQTUjlfxaJBQnTz42Vi2T1qqVws9bMlybClEn9bMuoPo5ZKjFpyFzfz5anhF5T6/548fr4nT42y2U2D3KnMXSxa924Xq77GIFHdRf+7X9y/D31iGhwHNVqcFGcf0XGxvN35sbF5F/HfHl1LoD1rX1qrnot160RS7MFiPJ/b3MXyW6ZBaH3fBpnIkuedPF6kN0jlJw+hxByRNEh/pPIg9cVocgNtkOuxL+FUyCRpkBNfyJcl5yDClmkQv2UahNb3bJAC3zXDGsogrYvU+KPnNYOM7f617+RtPm2Q8WgN0bDbZ5D2D3wF80dMg/gv0yC0vleDXPuEuFqxlDDI5G4isV01yFn6sdKtpEFOvuxLPHlTbSmR4jaEmAbxX6ZBaH2fBmmi5qT/8prW0mXqdsCPFYOU6iglHxEGSacyl+SWJvW3pbfe7wZBCDmGGKcIg+N0dDlwrw1CEraUv4fsTtEOxRmpd2UQchU9sasjjg7DVYhOg1VAg3C4WDery8RqKA6j43s0SJFu+PaqLbU9Q8U/lA1SbNGrXzXI9CZeS1Nf6Qt23a8GIRFyCjFOo8P5wHEKXU4PjiNwb5j/dl3GvbWUTWmUN6Qz6xd+sAsNQWgQjg9AZ6y4PrmQIGkptK1uIb5QEIQgK8Og67Eno+HN4dZBg9DDetSdXnALGcSdHk2sYk3Q5kBh11S3kJ2KyE7rdMZB72lnciWLv+qTb5iKucnaraqeZ0EwNSklv/LE+zpw3I2wF5+MkDgdCMBgzNEcwuYEUE41SK5u9P67TFYEoEU3G34NNkiLngJnsTgUg0zTj9O1PCLvYq1jCj66Xw1CIuRkYhxBh9PAcQpdTgeOE9/xUd0Q/y0geArj3qKy8jXKG9LajyIWBVgBNojI+gBEbxDDhRAfSUulbV1cmes6dmxdIMugW5N3BA1vDrcOGoTCvfXGleD7H5pdJbcIWNdE+BBoFoSuiysd9mORgSl646D3tEOIZvFXA/tdoseTWkIz83BVXh0bgy05BOe7y7+YQ4PjvAueGehf5uB0IDizML5G+wWhgXKKQRgw1uvKMci5x3WJY8ggoy8xw92SolxJ1+9JLcMH6dlswTv3gUFmQsgpxDiCDqeB4xS6HA2Om3CGaVQ3zH9Dt+gg3FtsTpmGf0Pr/XwUDMxdDJBBSNKc+rd384g4EESQtFSq1qVUeAwyGhjJMOgmwktb0PDmcOukEQocdyNOZvDc+FakIF5X0GTXcKH1UmpVozc85LreON7NY1LPGg7+6ooLHoPcSrxJMfPkqswKNiZ0AXewY9maNR/R4LgaSwQAsc5P2A7sXxDu1XaxdEA52SAdDPbwa9kgV57TxR8eQgZhbpmCSpUNwtzA+y0yyIDeZ1AL7wODzISQU4hxCh2OAscpdDkaHNfq9FHdMP/tw4AGjHuDxyAa/g1q4gysWrgLIIOc5/hgsnNanAglSFoqbWuwCRoklcOgu5IJj0Hg8Obw6SQaHOewybsSjvRiCuLlnUQHokHjg01VjeeFrYxxJjuBNBjBwV8Nd0CDVJYAjt0yy3gWBGUJDvjZdeC4ZMsOAA44P2I78JuAE75jEB1QDhtk/HVm9DZhg0y9r48Hoesg3Rx/WNzYIC59+DejyCCrOAWh94FBZkLIKcQ4hQ5HgeMUuhwNjit3+qhuMv9t7hjGvUGDaJQ3LO/NNBs6T1XadpLjA7hpRXsUQdjy0bbaS4dCOQw672R5CxreHG4dDY6biLFNesfRMt3jLaEhXqBDQK+paqxATeqMA/+SHIlcwlaPe3j/MODYLbOWZ0FQvsOxFwAdOC7Rshz2t3Mh04Fj8wLGp2uIg3QSKIcNsoMZvPPlC4Us3+cMMoj+lkIsfJB+5Tf6cAy6kt7DKzh6PxhkBoQcUscDVwk6nAaOU+hyNDiuyOljvyGdCjgIMO4twTFFcuHgyA0IeDdqGhmkgusDhxgSjL58FZKWj7bVXpoWyWHTobNYaHhzuHU0OK7HdrAlzpZzq8d2zB33NTKCD9bl3b8NmbaqcQ/XOA7Rugn9FukxV9AgopN692qVs56NwZZKPnV8ZXVINDjuhOXBtLovnEuYDmwMWFq08HCW7yCdhDkgg3B+ECqxQc4zh+Jr0FSTW+wRusXyJ3ya9+/68MvjyCAsOAU56r4wyO0RcgoxjqDDaeA4hS5Hg+PynD6kIUD8t7/Bb0GEe4vK+pbEHQLQ1pyEGDTQICRpTvl7p9W6QTwqCLs0wpaPttXuCcrlsOmQQdDw5nDraHDcWVuMpznelr0+dJ+j7BthNwnxqozAh19VJwLpVpBxLiQlHRTzwm2pei7WGDSIFH0VAP26YdWJejYGLeia6/hKEGJocJx3hcXy2lrncqYDSwLm7S9MSUvTNpreIEHM2P1CnovFDPcnh5BBKpnXQyUgg1Qz4VI8F+tPnILl98WFwhkQcgoxTqHDUeA4hS5HgOOg3E6N/YZUtAyd7ke4t4ysIIILJ2vrglCr1X6SJM0pf1sFIUiciBI2aIQthbZ12GpNKYxk2XRoUZwStNGq59al7I7RgePabfB4oMW2TRCiHV67EEFAvLo39SP6nTU/exvdCjIO5mINJtjiGMIWNIhrNSzTrbt1bdDGnKoatiX4nZPu2JIihOjAcd6W4rHVzlCmA8sClnmBK22d1nE6g/QzY/fJAWyQDiaBzhU0VsVxhvtvbiKDfKgPwyEBDXKT56jG+8IgMyDkFGKcQoejwHEKXY4Ax0HVONf5EG+I/6YmTmStI/FvFzEaa5kgCIVnSdKc+nf/9LQ4mS+EaoQthbaVIAjxhbUsmw4tihIFIVzPrUuw6cFxfWhPa8CW3WfL84DzgSE+iNflTT2YfifkpuZSrSDjwFE9DaQh+95YBn8FQLNTYNcN36uQXXea0xI0syOsFxpEB44DYGyZcy3Tga1oj6vc2CAHmbGLPig0CHOuyoYKGqsiOMM9Ec3F6tRHP0CHmyPSGU5BkDlZ8TYyAscNORdpVDfMf4PCuLfKrGyNCwdzh1Bsz7u9aBeLJM2pf+eUQ4OkBRKELYW2BbxH7BM8Nh24nI8PYzk5Ghw3EZeIXFI+EXcc/kqu861iKCIoDGo38BYcGSJbwcYBIKccGiRtGwdz5c2WH3szwlTV1LMxaLXyIceSLmG1DhwHlfIepwPHF3zsBWVph7Re1hlkKWewY4M8q4uH4CvALPYHav40MogOd2J5A1++GZHq2IJnrpoGuQtNunxUN8x/W7w4BOPekgqmNS4czDkXt0zXvgePd9GFwiTWB1VhbWJzaAVB2FJoW6Ah3sll0w1F5KXg4c3mdOC4Cts54Nl/E1Sku4FnX7K2ikz50UhbQUN2IdmKapyqsHPSydBKDherPUWUPz5TlZXDa2k0uMY1PzBWB44DYCr/lwc5HQgOB1SA/CO+h2mQQDloENoH/2KRH/03JOlPPQXKt902Vu1hhvtvkXE9XYvo6O/lVY5I51iDoG8j0yB+a9Lto7rFyff+fynj3sqASnlDuQsr5n+yBX89QoNMsD7o27FSPHSRt4bpthIumy5TyE3Ew5vNiTQ4zludkpJzDX7vl7nwkl1F1UmyFdU4fTtCxFTue/KqkxWZqswsXksgbb0r8Dev/o0Gx4HI596ruCxxOtCb+vnnmSprRweUgwbRgePi5PiQpDsWD1duS2+s8uhH+2P45nRPF03YmqvMFxuRJvVsOkshSpgG8VvmbF5a38tkRWoy4qPHlbjeIJqjGqsmdCzq38if10O3JKhHliMSCKQL5mB/mAbxX6ZBaH0vBiFP5r5xTo0PSQNE/JWTWkFjlcYJkvX2eTnh6SKuu89J1wqgQdqpgpeV/jEN4rdMg9D6XgzS4hvVCRNaHB6k/1WNP7xlzFeA5mJt8Y32R2LVjvZ05WjRv13yFaCpJuRcxc1qf5oG8VumQWh9P/eDOOSZhE9Fkm8PPcRTJoY++XUfWYCnu+cpkxif3KFxEtF1kM04+NAKqivxbN4q5Vrhbzf5rGMaxG+ZBqH1Pd0wdSNzx+5DJ+lT7+hK+lRxdGRiva4j5Rumpipjt0cmNZI1aKpJ+8FdcU7d82CUe9JPJu7eltJEFpgG8VsTRgilYiMYk1TMj/vPxTJq6V5ysb5zwpYhg8qQZiVV13FVW+d3SwZcrDKj91Si8k9Ng9ypJqUWvsrdBgl3BT/eLDbzE5VGq3CXGyTERn682qglT5lRSw38eI1oUFBSYtRSnUFLRu+p1GOQkJovctVltOoyw5aq+PFGo/dUa5IV/ZW5i0Xre9jFcvfw42MlxD+uHlk9763FO9Gj2Yykhw0AACAASURBVGhwHFTV9uVvL9w7SGN/pqp2fjZ/7qpj6OCeBsfBxtKD3ns7tMLcxboLmQah9eMwSKPGA/pkQGeQ8cMvK0frLYRBRhOeVgqecukN0q7OHf7GNIj/Mg1C68dgkEGBvIRxjTKI6wUt8/tpzSBO8j7dTMog14l5XJWmQfyWaRBaPwKD1NNTtT4jDDIaSmZqFYNM0vySR3sIg1SRjd0Xt9yy6sajQ4e8YvBY3wsXiyvTILRmMIj7UQuts5pBet6gEumyQUY+0BVs8BkkgUrMv78MQtKwZOTV8LJ/+Nn7Mq9EwWP5x8WCGoaHhVfToPIKFn+gxz3hZQmfi9UTK246eoOTmDpb4p2ecLKJCdeRdbuPckhzdkSaS0/SuFi92XEJjlH4gTs9YHqylgVmDbhyEyU7S7MayxB3xg8ShK1p+DWB/ustcCY4Rjj8K1BzImN7whj1CTtjV69NHpZyWUYYWh6QYl95YpEOmFX7wSOPH81j4n2RSM6kXt9GJIBZskHKLXpFqQbp0M2GT8MGmWAwD8+pBvHq7i957/4yCEnDkpFXR9beqPnHYByU8VhIfnCxxkqs76wD4GwA5mLN69LjnvCyoJXLxVoTIoYKGzgJhwyOYxNpBSendwkXWNKcIK4TIvb2aFysrEO58bY8OHjTEe4tmgVmxRcW2KyBl/U0K69tg3RpwzaCsFWDh0ITyMpwxdtsHP4VKPs2cxzQvKzoDfvXCPFiKMsIQ8sg5y+6rj5BA7PA+08vnROTwMQb8KLw48tK59PALGyQLobBYPlcMcg53YxFSzE2SChTYFEQdF79fVZBs9YgM9GwFORVIRwtq/6Eg19oL7tzLlb9e5tCAjbBb6r3Ivfvj86O0+Oe5GVuNY+LNRF+TWwUhG+YBHAfsIetCdzKVgQ6WrzrhE6WNJcqHj+2N87HxUq5BYajEwBoOOqKj49OZYBZkwcrGzuC1/TpaVYdQqY0lLPnsK+gITYeqh2kdLuHo0M4/Ktrx/O85JtHf28eA4NBYc49DCMML4MdCwEIooFZ3leGwYWYA0z81EPB4eHhRert7jpgFjLI1DvscF8kG+TyM/rEEDJIFltguSDhBnfp40dmrUFmomEpyCukuTvwQsZj+cfFGugC0QHb4LdYJABtUdlX9bgneZlbzuNiXcmExyBhwj4mAcrEUsCruCHk158XAsdZ0hw8BrmAkFgKF2sK7ZHEOQBorvAAHjDregniYoVf0NOsyoR8achuO+graJaf8TfVC49Bonj8q6TMUurNQ012wv5aHeVMZBhheBnoCGWAWeO1AJyMSWLiZ9Cv+w37aaXvdcAsZJBEznBfjg0ywVjnfXSad+i3nAr5FySfiV+ZtQaZiYalIK/gCztexo8SUvBY/nGxoGICoDkGKmE8Ko/BPcnL3NM8LpZ3clocCxaOssCscncp4JK0vs5NThbiOaQ5aJAjJO4NeMer0e24yCA8YJZ3qqqxXtgwoadZlQgJ0lCqLdbXUnOD8jl73NUpHP7VeHBm7fQozcuC2VH7kVJnKocRBpdbHesZYBb8tb7+ZUwWE79YhLaMkzhIJ4FZ0CBj7A6WxWLFBmHRinnIINs5BU/JD/FkUEF/n8XXQWagYSnIK7hX+2ffAWDHA/gGTL+4WDGI9IOUGWVneVl46TDgYk2L7QIvUXKsKGQtGnD6RG9+oiDs8rItAalvE4l7Q4cO+0QvaCx0xSYgg+iAWegsVqFgY2hWHUKQ2LrdFu9rqTE7PTapZhp9L9i2cvhXbUJ28WohdoxmYzkEIdTqTOMwwuDycwc8FHTTwCx44GexxCRPsXH4c/ywRBnEd7M6NMgRznC35CODnGTCr0xBg4zxgFlfIYN4FzDx07PZILenYSnIKzDxhXLpSMFjIfnFxdIMEooMoudl4SWXixWLDBIfzku4DhatE4SdbKKjoChEEGrZloCUcYDgYsHd74uVNlsLqM1wHbDZMvTArGpkkBiCWQcUmpU3SRCj9yNokNpS7f6jsAW4A3RaqvwavVhXUSdkFpWHCXaajXW+PU/42HmYwwiDy+WOxQBU08As6MTKxTEJ6WwcdmyQ29ggiznD/dcj0CDeACbuQFNNCniOykUGYY9NwmbzVJMZaFgK8mrqs4qBgYEJ0LxPwWP5zcVSDdL9dlQhy8sCrWF/j+BysaKtVqu4wcNLRCTbL+0RwvSJVRsD82s9gpCgix9KSkoSN1UTXCysQlt+UuJx19Vj6AeBAmZtX2215rt3szQrDI7rjkWOUlsaHAfTTluc1RrvvHwAnVHQ8a8ahKzj1rXCbh0bC4BDf3Um6BhhAbJ9NjjgD3OtDpgFlRmTsJYTb32w1dggt/6DM9xXoguFDib8OUAGWckpeOoWNMjk7/ThJ6/PZoPMQMNSkFdfPoBUAZ7eouCx/OViaQbZuCIqn8PL2m/ExdqBwHG9/ES83VsurNEnoPJb4CJOF0+E20pMILlYg+i8Uo3tW5st3eVtlveYCGDWesTFyq9haVYYHHdlo+24VoB1FSHodju9OcI2hn/VJWQdhc3FkB+kH/3YOj5BJzMoRlhANl7GOF5DD7ehgFkdcGeqOCYhQR+H//9oMTA2CI9mZelEBmGudTyF9pE9XW9xCg6hqSbsTwu68Dt7DeKXzj86ysTuiIulGaQpoGhvDoN7kpd8Lha4vEmc5CX6y9tLQStLlOtuEDwtI8GCnWkJtIk1JBcLX3AX9w0NtnR5wAXbPgaYBQaLang0KyipLDja19IgaqnP1lDe0uMG9sDVTMWt1dl1oFvIIVvLQXSStGBnGMMIw8s4xyNeEE8DszbD5VBMQqc+Dg+0LNm3MUgZZ7h/jSYrXmbC+MYOT9fTbMEfJpBBPtGHMTrFNAjWeqMpHByRXCyAzvSjnQhv0ILxjCwG9yQv8w7yuFhDESHi+rBgNjEaXFZyJWo9mxhZb2+ctgoNLGlup3id5GKdSrjo7d53GozH1HquZx5igVk3EwtzEzYIcQxQDh4XbbETLY3HtE5dz8zznkpocXfvs3EQdLmZJeDYquvkJ6wKOzd9KrTaFcwwwvByldPivqUDZh15rHrKHZvAxMH0W78epQxCArPGSjgI3tdHkUEy9eF8XKGjmsg6xcX+yAdPpkH8FsnFAhmb5wfM3yyBsoBo0GxncE/yMjeOx8XKhLtY8JB7DQuOS0uyR1Xf4hDl+opStyQncUhzAs3FupYem1SADoHETFfm6QkWmFViK8y27Q0PZWhW9gixhSJsiYfiM097wbX0VFfBAI9/5XUd3xzbR/Gy+naEWA9cBNJhhhGGl03Sqmf0wKz2N//HC5+WHGfiIM+ympyLRQOzxkrYZxb8Bv10N1Zt1YUz5QpP1zymAp2NYMFx4fK0JNMgfos7WXEa7pD9cJMVp6dn7WTFqamp205WfFE3rh/D76axip6u+2v13IWna5veH9htI1I9Hd0u+8M0iP8yZ/PS+mFn88bS4/oZea5jYxX1tI+XtBnZni49Dv4Ijo9IFNR6To5aYBrEb5kGofXDGmSceqzHUgWz2lhFsqhX+jpHfyX9ReWW8xHJS9xBNa9DKzAN4rdMg9D6ge8H6f+zNq5fVh8IgU7zao88n1dNVECDTPn2vh6NVGFzI5LvOuHzmcT5S9Mgfss0CK0f+oapyYRX0bD+9WeFvnENDTLx9UP/YrE8FVxLVeDp7sULUcGD7yb5Og1dSc9BVwp/9UkOtVFMg/gt0yC0fmiDQA20NPVMkQk8WfHW2aYL+grlltuRs03tY2RcvmHqQtO5KV2BaRC/NSGa+tGr7p61pN68axrkTjXpHuOrucwgUXKaHx8Rb/ITZ0oMWiprMkiI1/jxdo9BQWWDQULq58e7JIOC6hqjli7y4z1GLdVUGyTcXfx4vzjJVxfz6YYu4L72tDOJzgH4/0GRjl4/f13+o9v8BfFX5i4WrR9wF2vIqKXzDeS/psQVT1osv1jaRIPjoDq2/OHfLJa5lRT2Z6o4CN2q++xqdD+9uYvlt0yD0PqxG2QqXSM3lNAGadWmX1X6DDJ11He+N800yF3INAitH7lBThEXSp6bIgwyRlxTn6cZpHs+eZkk2zSI/zINQutHbRAvjbmq9hmkk7rCeE1pSaTv4H1s+L41CGLHMag4RTIxzqjy3hqEA8wasjsR5srOGam3M4i3q6KkTkWvgFtnqk5OjnfUuzugxtmCuzKIt44kbAFwfRjcrC4uroYa5rT0wxtkKoQa7woXC8nzGJXokVti5gDPXqqJkUh2nIKK07BwBDHu6rb/F367q1g5Y3CcCohDQLQMBxsfT/r8gxA3HxzXGSuuTy5kuVjdgszFsmoVUKN49kN5y+g5TktjGeLW+DPi6ESJRzH8UHHrFBzALpfocrnivmZwbxOubykEnRqfmpQGKWadmuhMdaxNriSAWbCNZFsT6LPl59ps1tB1DFAOSJvnPLxQx4e7EfbikxESpwMBGIw5mv6SBo4DYCDsjU9ugJYljzy7Rkr1EeUQYU64Ird4VSJ/ggminGKQyU91410ziO7uqAdlqxXq/WFZcd8ZhGTHyag4AgunEeM63zz+wKSGlbsNOE4FxCEgWlQWG4/6dGjKltfCBcdFbxDDhRAWmHVxZa7r2LF1gb6K8br44Gi0dGcHW9mWEO6tf0NBLQAtLvnS2Fgx3u8Zdle7W1sPBrG4t7T8OgpBp8YdgmilmHVqIjrWuUaIPu4DZgFQlmJrAQP7RckTH1jAAuU6ne+e1XPgvAueGehf5uB0IDizMD73gA8cB2ofibgJF48++Mq/Wuwf+xKIMGdZJrf4uku7xZcmyskGmf5KP96LFYPk6OJv4GOQdpbnMKvRozOx4xRUHIGF04hxAFxABlGwcsbgOBUQh4Bo/VHZTPzW25Fwa/HBcd7NI+JAEAd/dSkVHoOMBkZqFWdC43YLcWhZ9C3PUQj3NpLngl+g511N+D02u/DuzfApeAwysTqKwb1NBDoaSQSdhoFzh4jfkMw6NeHd3OUeXEMStsCAU7KdBldcNfXe8HU3WaDcKkcYw4GrsUQAEOv8hOko0L8gfCrhiK+g59eL0W/96JN9wGkpXKMlEGHu4oOPyS3Oc6mzr3REOdkg+ntCLJZB2SBl+vh2ZJCpPzOvn90GmYkdp6DiFCwcRYxTDII0d8dtwHEqIA4B0c5G5TLxwYAPB0Bd3mkeBm6yc1qcCOXgrwaboEFSiYrBS+CocAgty/MFTksI9zZS7CqA9nfhX44pyTWFwFVj/dAg5Rzc2w0ht5ZE0GkYuDKXNHSeUzDZ2eP2RpDoLW/WsGQ7C4Y7aurPC7s5QLmljl0MBy7ZsgOAA86PmI4C3wScaIzJ9BX83SKiRTf6wX+s8GstgQhz3kcEuUXfMYiOKIcNwmIb/iKf5j3/uD7RiQxykPWH5dPZbJCZ2HEKKk7BwlHEOJ9BEFbOGBynAuIQEG07wv7o458FLMj8u9TGxcCBKdEexQVmtZcOhVIgNpAhpOJ1FwiclhDubSTfBfd/rrgwK/Waq+RisQs92bLLM57Kwb2Br7OPkAg6LV7uloZO8grgQbo9kURvtVcAydYO0FmsKoT8YYBy7zmiRvUcuETLcsSBW8h01Ni8gPF8Ahw38u+W0Sm4zzYN13zrF4XRPqIcmL4euWpCbpE6SCeJcsggV/VgXovlODbI1Nv6+HJ0oXCcR1yMnNUGmYEdh9TxwFUCC6cR4zSDYKzcbcFxCiAuIyAgKm+aiXcvDQiY5zzLB8c5xJBgAk7lQ0u1l6ZF0pC2DAE/9B4ZhG0J4d7a4l3wB2xQ/gXpc0mtPR5XBzLIqWMc3BvozUslEXRavCRG3EIy67QEcDiETWgXSwVmHR/XDHKQC5Rb6PibEFtEc+BOWB5Mq/vCuYTpwMaApUWvxKSMqOC4CsuTaY9YluDd2hpL4T4faQ4R5n4ZOoVbXCIScwtJmgMyCMv3eX4KG2Q/kziLDPItxx+Wurs0CPvUjHuge2+Q27PjFFQcgYXTiHGqQWSs3G3BcQogrq15fVRWERM/9eWhBQG5bg44bqfVukE8CkepHn8F/273BOVSIDbSIExLh8uLcsTYI64i+JXqwtvlsqsMjmRXHTKI6KRbwrg30JHvIBF0Wty1UtxJMuuUxIWkpAxXVrgtVQNmnZdGRhy2FvjbWVP9NWcNdcLbjg1hwl6aA+ddYbG8tta5nOnAkoB5+0NjEtNUcFyO5d/DU+ZYkOe8S58s3OsjzYHGyu0WSzpu8XUXMUR1BmlnR3senmpySf80EcsWPJt3KccfL3r9MAhxrhM/NSMWI6XWsOPybnXPDTIDO05BxSlYOIoYBxcPwIMRBSt3W3CcAoiD8aisWH18aMFRa4RQkMIBx6GTReJElLBBj786bLWmFEbqQGzQIK1Wq7UgR2BbynG5XOJQkqsE7WKh73RwHe1pDbvyrNZDjuIaBhDXat0YmHuCRNDJcdBqjdgkniOZdUpCstlSXN4EW5wGzMrHQ2T7Kqs1x76fRdDBPa4PHFsrhDAdB87bUjy22hnKdGBZwDJvZsyhdSo4Ls/ynBekYS5W+rMJhTt9pDmkzy1rcYubXW/5trbOIKuY0b4MYIOs08f/MIapJg9xDHLYjyvpxLlO+akZ8d8ODPS/OMgdmnele26QGdhxCipOwcLRxLisDx/4u1vDyt0GHCcD4hAQrTYqK1sfFwMOCwI0CIcPl9c/PS1O5rP4qwRBiC+sPU1h3ZBBjiBwHPwFYVuCf0rX1zvhZ+l2XQe93d6p4lLkkjj4YkfvaQYQh1rKPUki6BQMHEqIgySzTuXD9U8jLtbeWA2Y1d/d3Z1ji4IFWbkuFkEHugTBEXZRCGE4cGBsmXMt04GtcI+rOObgOhUcV492qE5Z4FFFw/MdxYUbNdIcIszBvSz5kKbJ9b5va9MGGXv4X3SD/bfobXm6hh7WxeegKzK6e9IVvTzhh0F85zqVp2bkwp31I3tvMz791Y9lqokRMU4RBY5TAHEIiDYclXVJHy8LgN/ol3PzeXy4nHJokLRAFn8FvEfsExTWjdzFCuQg6BDuTShxXZmuqgLjLtdV0O7qB63uceAtk6Z4gLgGoayRRNCp8f5yIA2RzDo1kVMODZK2jSBsQeXaTsI9oKL865w13Fq9xrEEukTPgYNH1+9xOnB8wcfeodgDB1Vw3Oivn/HCgs3g3PMtYKjwM400hwhzIOSXXbjFGleCtll0BilmRju+TO/pYmjX6DuSpZpgzfAY6P/rlZCQb7R1+s51+h6tMf5Hg8lEd6Ufi0FmEAmOUwFxGIi2lwXHDS9de3Nqb/5pHjiuKqxNbA6t4OCvGuKdgKpAlyXwDkx5nrCR4ygwLUbYp0+XVjZDT9RVTQBvR0VF/U10MOKmWlJxbyPrC+tJBJ0aHw2ukbpJZp2aqAprcJ8KrSSAWaAl12bbXwza8yXeGkCu4Jz/dehrOg4cmMr/5UFOB4LDARXgcEKOCo4D2yyFYP3Dl/uee/Cxxx4rXKoR5TBh7qFvAW5xhYs4SCeJcucbbPrBXogTnq4vdPFcHB+RWlh/wL1yn0EmHkhK0+mfXg0J0c5MEOc6fY/WCNfukr8X+qkYhADHqYA4DESrZMFx4MLGD76ILGnjgeP6dqwUD13krWG6rYQCsQHHgRAh5MAJ4ChKEkI2rmEcZY8QT/MaAt5OD9WShnvrsx8lEXRaPG29eIBk1qmJvh17nAe4b9ZbU8ddg7fQteKRl/QcuMjn3qu4LLEdCLypn39+7JgPHDe9++WXl7SBDfLg/lRLYMLcKbhe1GK2pL0Nmih3viFcN9iVx0J4un7P8wc0yE3GH58g9xEGsbt0mnNIXfuKn//8n7/SznVqj9Y4/YrhjL670U/GIAYJczavrqUfcrIi/fScx9Q37+miro48oc6zGJHAuzp/LMNPr7gzgyD5znWqj9bwPmc0Iu5OpkFUmQahdRcGoeblvqZtAE/XH4n4W1q70CB22h/r5b23OzeIeq4z6Yry1AwQ97zB27tLmQZRZRqE1l0Y5CZxXfwbH7rf07VTCz9q8x3BoKkm5NT4J11K4s4NopzrHP8nu/LUjIH/45jB27tLmQZRZRqE1t3cD1KqjvXgDiLh6br5Bzn8SDjx7HVskCntGdBPRGq3t/hhEL2mJ+/pEYhpEJ9Mg9C6qxumOle/8cLvv0q+QiU8XeDmrjdeeOWLlOtUXL7l9vTGuS+8MHdV0YQv8T9hkHuun4pBpLN8VXoMEsXV/Hir2MpPVLsNWnJXGiTEU/x4rVFLnnKjlpr58XrRoKCk1CAhNfLjJ406sLTEqKU6frzZ6D3VVp/hq7aWX3DKqKV69YvENMidakLy8CWJBgnRoKLYqMDtb0uee9hS8Q/WkuRvS8Yd6K7ny1Pjb0vqr5ppkDuVuYtF68e4i9VYZZCoO0f+qyfvwJESfARPcrGwbpYnpldPm7tYdyHTILR+qgbp2SXzsn4Vdl1vkGn7Epx6qck0iP8yDULrp2mQoY2+c7rPddIGKX1dzTzebxrEb5kGofWTNEgl8bgci+W1W4RBrgtEJtI0iN8yDULrp2iQFN20kiSfQU6/QCYW32cG6cbDQnc/JMOP+z7BcVx9PwYhWV0KzWrIbhcdfGbdbDJIks4flrmaQUpo9M8794lBSFycfD+kyoQDGj/ursBxALF1gAyIS7TzgXK7SvjguJ5YcdPRG5zE1NkSL0VvUxMTriMU7o1A0G1OvkFgD3uz4xIc6PQMNMh1dFWYZiKOutPFBorVpdCsugWZi2VliXLn3fA91TBkRXBLKjyYX8iS5ibyXNYFi9X+wP0wJPfLYSnWx4FTiXIIEHcsj8+Hm3KnsgUIQRcmclpCyLn9WRpikgLKyQYp0PvD8osbkpx36RJ/vU8MQuLi5PshFSYcksyPQ/IfHDdWYn1nHVwiQFxi1jkuUC7A3sYFx60JEUOFDZyEQyYrsom0gpMU7o1A0FmFWAJ7mHUoN96G7kXo8iD8IRwYJBOxN65koqqRZHWpNKuLK1PFbIpZpxHldjsEISKaISuC4/aakW2BfSyaziqGJoQsUfoD94NV7pcg5y+69EQ5DIiLSTjH5cNZCpcyBRhBt9DFaQkh5+q1XxAaKIcN0vmYhZGCHi3Rx3fPPoPMhItT7odUmHBIX2gv8xscV//eppCATfBr9O1I4N2XdYYHlBuYm9fGA8dNhF8TGwXhGyYB3AfsYSS9TasIdLSQuDcfgm5M6guKIrCHKbfAcDS6265LQvhD4D1EJG/EZaNdLB7+6lIqPAYhmXU+otweR9iaqCSGrHjJJtV7V685w6LpUp17eoVNcn/I/bBY7pdARwBDlEOAOEdMQh2XDzenMISPoNvrepVJYOSctoulA8ohg3j/wvrD0iuh7Dm9df6lYfYZZCZcnO9+SMSEQ5L5cXcFjhvoAtEB2wBAgLi2qOwxHlDOu7CojQeOu5IJj0HChH1MApSJpYBXcUPIrydxbz4EHZBuhhPYwyk0Dy8O0UdOiQh/CC6TTESHrQsZhIe/GmyCBknlOAeUudx0KwpZsdlWDN9TeAmLpgt2Jp4OOSb3h9wPu+R+CXEsY4hyCBDXGJNQyuXDNRZG8RF02CC6BEbOaQbRAeWQQfI5/njopgSTo6/p4696Z59BZsLF+e6HREw4JJkfd1fgOKiYAHTX5WcBC3ZFFXCBcmm2Ui44zjs5LY4FC0dZoly5uxRwUXNf5yaTuDffa7yS/TCJPQTe8Wp0L7u30IPwhzDuS07E2Ca941WNFTxeFjy0vhjKA8eVS26qFZWs2Ghz1Z8UNhSwaLrlzqjtp7R+Qv0wKffLF461QE+UQ4C4nBi498bjwxUUxjIFGEG32vUCk8DIuTriIJ0EyiGDvMExyF/wQbr+LkT0BJ1ZaJAZcHHa/ZCYCaeo44GraHE34LiYAASuQIC4qHwvFyj3bpEBOG5abOdx4EDJsaIQkt6mJXrzE0ncG4mgW7cRjV4VewhqbLZ9ohe0l3gw3a2FYCL22A62xNlcDR4eLwsa5Fgkzzklqc6Q7eQqFLLiJVt+qV3Y4GTRdF86w4MLa9T+QP0QhWkYp5Y7InwcOIUoh/7cEpPK58P9BhnEzUHQzXf9nklg5NzOTN9BOglzgAZp5PjDEosM0syEX52clQa5PS5OvR9SZsJBKfw4pLsBx8kGOfXloflRWcU8oFxSQK6LA46LRQaJD+clXAeL1pH0Ni3RUVBE4t58LZ2XCjbYjviwh+DyxUobPEI43i4b5KRN0pJnbd+sDV+ZI7K8LLwUN+fynOOKcq7bYEtmyYqO/NxdQngli6Zb4VwP7a/2B+qHgCLcL4JjlY8DpxDlUOJVxObl8eEshWFMAUbQ/dX1JpPAyLmoZB9MQWeQXTyD9CODvM+EK2flXKwZcHHK/ZAKEw4071P4cXcLjsMGGVrgBjlRWZtZoFyr1RpckMEBx0VbrVZxg4eXiEi2XyLpbUpi1cbA/FoS96bEDyUlJYl98bZ4DXuIVWgrPi+1uffbEg4PttqKtGS7zSoIQk4Ry8tCb9YqxnOccyHp0DHXlYO2KB1ZsWiT1ZpdUiWs69ZbbXjVQee+SGGH1h8AbA2Ixf1y1PE3HwdOJcoBkD4n5hifDze/8DO2ACHo/ur6C5PAyLmCZB8wS2cQ1gYWSwiaanKSCYeDWWmQGXBxyv2QKhPu6S0KP+4uwXGyQcSAqwgct5EFyiEWW0ERBxy3A5EVe/mJeLuXpLcpCQSOayFxb0o80WaziTeP2w5p2MNBdNmnxtaQb0t3wmSMt9uWpSX70D7SQGERh5eFwXHVHOfIZMUGm01HVoS/EUJ2XbOwdloPjqsWPM6oDsEq98dFzPYKyMb9Ijne1zhwWJgo1/B8eswRPh8upfBTTgEAY2+7FjIJjJwrS/Ydd+gM8jzrjzm9yCAMcfFttMlnoUH80vlHR5mYP+A4xSAIEDe8NyudKki+RAAAF3BJREFUB5QDe/IaeOA4OCjFSV6iv7y9FLSyyMXuBsHTQuLefAg6II2k7o3TsIf4gru4b6i/u6E4x1bZC8Zj4rXkRFwidEmhm0uz8u4Ur/JIc/0IHNfOkBVh06CmvjZwFQdN1+oMuyJsk/tD7od3e3G/dDrmaBw4jSh37vmWodhDfD5caeFytgAq5XUX2xJGzpUmb9a2l84gLPPdkoxn8z6li/4OX1653w2y3mjuhrFIcBxAV0TgTgQGxCVkVXCBcu+JbTxw3FBEiLg+LJhNjAaXlVwh6W1qYmS9vZHEvfkQdOekxtA0H/bwVMJFb/c+hMrq8mD8IXAQTMQK2zngsddzaVYNgjjEc85ocLn7SlQMh6wIasrhrhQHTRftCt614W9yfyj9AHC/rHVYNA6cSpTDgLh9Cb/n8uHesy9lCjCCLl5kW8LIuaOpl7XtRQLloEGYU7n4LPGIdEkXfbYTF9zvBrkLkeA4kLF5fsD8zRIGxGUU8oFyHaVccFwm3MWCh9xrWLJiWpI9iqS3aYm+olQS9+ZD0IWISRcnfdjDa+mxSQX4EKhaxPhDQCSBtzolJaeCP1lxeloa4jonLdYRVT3BIStW2x09XDRdnGvjgs+V/pD7AQDcL0HOF3yAOIUohwFxMQm/4PLhvnXvZQowgm5IWsUmEHIusUT9QDRQDhokUO+P9+BngQbRHYK8ID/LzjSI/5o1kxUNWprls3n1s62WKncUnqKi76ozzkyD+C3TILR+YgbxzqOcsE2+MDwijZPU9+0aMcs0iN8yDULrJ2YQ0Ps7nxFePaHE4UH6Ji36dpOvwDSI3zINQuunZhDQ/3fFCO/kaecr0TMK/ypH/yKRtwKZBvFbpkFo/eQMAj9L6rZt32RdJuJ4Llblzm27My/TBaZB/NaEVMmXxygheowSBvESo4RYbJSo8LMlybClcn681OjTud1GLZUatGT0nvxuqdywJaM3K1UbALPqDApK69TNbhrkDjUptfBV5jZIuCv48WaxmZ+oNFqFu9wgITby49VGLXnKjFpq4MdPiAYFJSVGLdXy4zVG76nEY9TSCX68wXBTFBsk3CcvcnXeqKC2QdnspkHuVOYuFq2f1C6Wp4sfnyim/z1VsfnTJWtKzV2su5BpEFqz0CDD3zwuH7BHmAbxX6ZBaM06g3iP+J4t4jIN4rdMg9CabQbpW0RcMQy8bw2CCFkMEEvRfcLFMmjpPjdI1RPkhfZ5951BSEKWAsTSqFcMFwtkBW6ZX89wsQgYE5T3/CUZ43SokIn3RSIVZfTyuFhTt8QJCn8FNYpmyXces69NHiZeiYR5U2UtVEwpQLg3u92enqRBq6ahx9F/0CDu9AIHp0J02u2xYev0q+6JFSO5rK6xHGd4/CAnMeE6vm53u568hZhZUgoDrcL9cdAVuJwBiEENl+aTHTgQ9sYnN2Q+lpTKArPQC5a7ItkKRNg6UsAveKNIRW8gEcAszSC6JxUuuO8MQhKyZCAWQb3Sc7EuPOEFla8wXCwCxgTAzZcsh2WMU0QGE2/AvXw8/DKPi+XAs3kJ/NV4XXxwNFxGJznWIDYDi3YrbKZiSgHCva0TIvb2aNCqGnw7UxMAza6SCW5FdipCb13Sr3pNkPg1j9XltcW6b2xYzfkUaTk100dWjdLkLczMcv2FgVbh/pjneKuZAYghwFjSAaIDax+JuAkUPlbRx10MMAu9oJfaFEoFImztTGYJWzjv+wWhgVmqQbJ1UxnXzGaDzETIUoBYBPVKz8Wq/PlVIH2u42Ldciz0wZgAsL5iScMYpwsRGUz81EPB4eHhOck8LhZwrxTXk/irM6Fxu4U4+ILNraWDQWHEK4HKm8qtJmNqAcK9HT+GbphSoVUNsfFQ7eDGtyLgVzjsx1auzNTH4VqkBh6rq0PIc4McYQuH1VVUD3qFToq8hZlZTYgfpoNW4f6Ici4CeoAYAoy9tf+IrwDRrYDKxyqMAAwwC73gmmshU4EJWzuTWcIWzmsG0QGzFINIOn9YcmezQWYiZClALIV6xeNiTT7zf+8JGdVxsU46Qn0wJnAqcJUlA2OcTkZkMvEziN14I/skj3IFylziJJkYvASOCrDPJzvbS72rkwFg0W65FbwChHsbuYB4VSq0qlm5/utILwb8CgSOW3ldH4drkYZ4rK4ywe4G2cJWDqsr+wQ4HTLOMrOyHbsYaBXuj2rndqAHiCHA2GsxRAciuhVQ+FgPE1wsDZiFXlDnCmUqMGFrZzJL2MJ5zSA6YJZskDNzdP54ZGQ2G2QmQpYCxFKoV1wuVtVL/8+/SjouVqFjvQ/GNP1+7ypLFvrj+pcR+Uz8IuJ4bLdzuVig3C1OkgmoDAHdOAraSuxHpgBg0W55TbwChHsbOUJCq5rl678TMekebw23AoHjtjNxuBbpKo/VVSIccYM4YROH1ZX5rbj9FIeZleDYy0CrcH/sJMBiPoAYiHkxJksrwHQrvC83fT1yEcnFUoBZ+AXZrvVMBSZs7UxmCFtynjxIJ4FZ2CAjL+l/QGb5dZAZCFlIHQ9cJahXei5W/RuTEyv+lys0FyudxDrlbQOrLGhnwQZ78/gUG4dfkg972rhcrJIYcTWJvwJolKajhatQCE2bBizazdmiiykFQOrbRKCvQGN2emxSzXSP7Zg7brOQwamoahTRbwCnpdM8VleHECl2rUW7WAyrK/uoEFzoJclbMjNrjyOai7/qXU6DxRSAGIj5XUy2VoDpVpYlN3DH/jvJxVKAWfgFr7vCOBUAbNmZwS+w2ImDdPJmdWyQDXp/PHJplhvk9oQsBYhFUK/0XKwQuD9263/roblYiQTWyfuXIWiEAoAwTosjMtLZOAChQaVtXC6Wa7W4gcRfAW2U1hfnCUIlYNFu5S26mDasMw4Q6CtQu//oAZut9qztqNS8TYjiVFQ17jZoKYnH6vIm7XZs3Y5+cxhWV65ztSDUkuQtmZm1He1isfgrEBpBg8UUgBiIeTbmuFaA6VZzLJEyH6twAwPMwi94y/VnTgXwvrozh18wJz/VNzz0BqnX+8Oyd5ZPNZmBkKUAsRTqFY+LFQP3Ys+9DGgu1nEC61Syqr//75Z0fEImMyJjLRtvXb98vf0kl4sVsUnsIfFXQBul7W7rSmH1ZRpQ1bo2aGNBrQ5ahQouIC7WpmoCfQUGx8G00xa3PnSf43KWsFlXgfBX+WWBbEuYi7WTy+qyxjovbhf26hNJw6vEwsS9u+NJ8pbMzIpybOXhr1ofzKTBYgpADMQ8T3CxMN0qTab7gIDCQAaYhV+wxfVbXkX6nJ3Z/IK0fB8iiDHIIr0/Xh+f5QaZgZClALEU6hWPizUlrIqJuApoLlYxgXVS7rF5E2GciiMyEvRxGTVVeNaIizVB4q+AYpD+6XYnrFrlpQFVCQoXK1pfICEuVgKJvsK6atsmCNEOb5UQoatA7yk3dwfbEuZidfLf7G7nrVWCTZ/IqxbEXJttTxy5epmZFewI49GsPlpcSYHFZIAYVMwrBBcL061OWRZhPlZwYRADzMIvOOp6lKnAhK2dmfyCU7cxCAOOm4Ou785qg9ylZuBiXSWwTk3FxcVLLDtqEcZpKCKjUx9Hu8bZoLSNj7+aFidJ/BVQDJKDuFhpoQOABVSVt1Ax7SenTawh0VeDaKv22Rom4o57QFcguwrE2q3gtXR5kzjEhXiBHne5EMQmGoTyenBVKCJXLzOzXI4lHJoV7I9uEiymAMSgYv5EcLEw3arBshnzsVYUfsoAs2T8les/mApM2Nqdxi9oyE/0bUidQVbpDYLPyJkG8VuTLh+MCf17qeUgwBinjRlMHEy/9etRNNWEw8UaDa4R+yn8FbqwAPdfqsJqSk6FVsN/MoCq/G+plpQChHu7TqKvxmNap65n5nlBRbobeDirAN6CIxOcluBaxG94rC54UCaG2jmfYmR9fs10+sYxirwFMDPLNZ+FVqH+uEyAxVSAGEBXRg4l+DoQ0a3WP3xZ5mMV+bhYKjALv2AXuSmUCkzY2p3MELbkfD7x8D0SmDVR7P2tzh/y6DcN4rcm3QSMCaQu/VfLQ2sxxqk0n4nDPePVeC4Wh4sF0taLNgp/5TgQIoQcONG344D9AN7vYHhTuUeolpQChHsbodBX4qH4zNNwVHvLXCk5/byK7EJeS5nyI9g4rC77Pif/U/QVHtuSOkyTt2RmlriLhVah/rgs7WUAYhgwlpTyuFaA6FZL2oDMxyK4WBowC70gVCQ2hVKBT0XtTGYJWzjv1k7z0sCsieKLOn/I56VNg/gvvyYrTk1NfQ+TFaen/Z2sOF110mAV3+1kRdQfP87Jig20PzKVhGkQv2XO5qU1S2bztv4LYY9natWEaRC/ZRqE1iwxyCQxzeRvg1rCNIjfMg1Ca5YYBESr9viDk0iYBvFbpkFozRaDePf+Grrjoc+d1Fl+0yB+yzQIrdliEABGm2rax3UJ0yB+a0I0NQvlMZB6ts80yJ1q0j3GV1OZQaLkND8+It7kJ86UGLRU1mSQkK7x4+0eg4KKeqOW+vnxLsmgoLrGqKWL/HiPUUu11QYJdxc/3i8aFNRXGiQ87fz4oDjJ1wUTHOevzF0sWrNiF2vEqKWLpkH8lWkQWqZBvi+ZBlFlGoSWaRAs0yCqTIPQMg2C9T0YpBsPC29xMxlk+HEmOI4jZBAuk0t02aE4VX4bpC6foVnJYDFnUi+3YEiK5VdkFUbyK0yD8EXi4kDTovwpMLzsH372vkzyUfhxdw6Og//zHvtcY5+dWb/wg11wgJyys7QyDEwrbQU8cBw0yMSVazxIW76dhrQBBesGDeIdyGPjPbHidgr31hm7WkbPdXlGO0ikm0qUQ5MVp5w6LB2+11i63MHxgQyOy+cRtjKPCoIQfJ1di5TL9hFaHpA45L0bYS8+eegAg7+SpxAWfnwZTMeyjLghkotFVuxMtvxGx6zDa/hr8VE+ac4qkcOFIMrdJwYhcXFNr6KBcGTtjZp/DMZBmR+HdGfgOGSQzHd6NfbZ2o8iFgVYYSyDxZthYNrxHMADx0GDbBESeJC2JA8NaVOxbqC86WseaW5NkLiOwr1Fb9iP0XPjFa7gaBLpphLlagqzbdbAMhpLt2sKtihujuaQ5mRwXOBeDmGrqOjYsa2ZgF2LK5TtI7QMcrLkPe+CZwb6Yg/c0tOsZLBYUSwA+ziMOJKLRVUcSA7SM+vQGvqfLvg7nzT3tO/HnCbKzT6DzISLm56DH9xYOAHt8icc/EJ72R2B45BBvB+Faewz7+ejYGDuYjC9PZvFm2FgWpaDC46DBtkqrGYTHUJhKQVpUwcjNIh9M7rDnIN7O0nh3jaPAYSeOxP6rVOII5FuKlGuoTA3PiSsncbSCV2wRdEaxyHNYXBcCsI/MIQteAwyFnHdy67FuYfpI7wM5pD3aiwRoDEmIVNPs5LBYvbTYPoplhFHcbHIimlbymU9sw6tAXydv55LmnM+LapPktIR5WafQWbCxXn+W/zvn5WfMz93B17I/Lg7Bschg7QFRGnss4kzMLtwF2hEXCw9rQwD00rbuOA4cEFMFziJMsFRSkHa1MEIQEleAmeQItzbCIl7m+yEq1+dDF/Q5RIOkEg3lSjXXNzIYumEVtiiaI3hkOYwOC6dQ9IabIIGycsEl5m1tDkTmT7Cy0AOeS/ZsgMUxCRs0NOsZLCYswc0WlhGHLATXCyyonHnUYZZh9YANiODcEhz4I+ietinI8rNPoPMhIvb+LN6r/W/oF2BjpfliTcyP+6OwXHIIOUBPvYZ3OQ302yToCCigNlaMjCtlA+O80Yjg7CJEuF4KQVpAypRzmtviEYhDu7tBol7g6FRjJ4D0CCHOEQ50OxpZLF0Qag/RKuNQ5rD4LgYwcohadXUD60apMFxeC3lzlSmj/ByK4e8l2hZDtJiEj7V06zQX70PSz2gwMIy4sAxVwTDv0J/pSLsj45Zh9YAPs5fyyXN3XpBJM5ykES5WWiQGXBxK96EX/D/CR55D//Zd6Kj44GraHFH4DhkkKIAkn2WERDwbtR0GjKIfmthYFpRKxcc15CLDMKDtCVIFKQNqIOxwdmyR9jPxb2dFSiinEPA6DnZICxRDjS6CrYKsdM0lg6PbtG6h8Omw+C4MGQQhqRVU5+WAkALs5b9zjSmj/Dyc8cGhrx3wvJg2saYhEA9zQr9FRrk7gFplgiWEZfmWsXwr9Bf83fmMcw6tIa6x/LDuaS5mqdFYgSRNIfZaJDb4+J2vAq/xv7zJTDxhXLGT+HHId0ROA4ZJDeAZJ+1NScFBBQdRLtY+q2FgWnHM3ngOO/eYWQQHqQtvpCCtAFlMHr3lrXsRrgdDu7tUDjFgTvfjtFzyCAHOUQ5UGu3bxfCa2ksHT5OFa0colyrddVuh3UnMi0D8aqpCoLfNCeZtax0Hmb6CC+XOxYz5D3vCovlqZiE7XqaFUAgrVZokIOWVSwjLsf1N4Z/hSr+jQTHKcw6tIbXXs/fyCXNLV0oESNolhtkBlxcx38dAXW/9059VjEwMDABmvcp/Lg7Bschg7gDKPYZAFsDYjMj8tit1VFn3STkR/LAcetXbRQTBOEAB9KWZKcgbUDBva1flV8VKey6ycO9bfXQHDgADgkpSUnHXSsTGaLc9lXWjXknTgjrjhIFlRGDckvWvSxR7ogg7Hbc2olMq4N4wV2pXFtS0mArs5YwZwLTR3i5wfEmS97zthQ7YhLcepoVQCAtdKEw0/I3lhFX7Hqf4V+hitdIcJzKrINrGHs9fyuXNPdsp0SMoFlukBlwceDYh1ErB8CXDyBVgKe3KPy4OwbHIYPUBqzT2GcXMVUqILs4IoeztRCLLX+vETguRBBWchLxdgrSBny4t0T4vx083NsFchX96C05hFSbLd0pJDFEufWopZOnhTVZvpa6N/XLb1a07mOJcgBdKJxYE8hjcjlzbbaDXpZbt8EZxfQRXsY4XmPIe+jvyzEHJvU0KxksBg1SbHmfZcRddM1h+FeoYisBjsOSmXVg7OH8bVzSXAd1oXCWG8QvnX90lInNAI5DBhl+x8c+O4TO3Ox5t3do4zFma8nAtONZPBbb+dMt4n4haBUH0tZeSkHagDIYz58urrAJIR0c3Js0Qq4ipxwGEXoO7WKlcYhygy1VjSPBQfU0lg5LtCZz2XQIHLeHR9jK+xahdVlu3W5nGNNHeBnneIQh76E1pMQksPgrDBaDBhn6xRyWETckWrgVfQQ4zsesg2uw5IdwSXPANIiB1hvN3TAWvlC408c+cy5uma59Dx7kHcpgtpYMTMtv5YHj0HWQeOEbXqLNTUPa1MEIylv2C3zc29ck7q0q7Ny0jJ6DBkniEOXGY0pOXt8stNBYurDdABkkibtqBI7jMrky5VO77FpcwUwf4eUqJ0veA2Aq/5fZx1n8FQaLoblYK1hGHBiSVvErUpNZZh1aQ2TRV3zS3B9E35ldiih3vxvkLoQNcsvHPruwYv4nW9BsjKZ8dmthYJoBOA6Ui6HCyi0cSFuSo40LiANSVqAQtJKHe1tH4t76doRYMXrOcaxICEk4yhLlxKLczCY9lk7YClsUrSHxe9lVY3AcT9M18qUVllsnHWb6CC+bJJa8ByKfe6+CN1kRg8WQQcZYRhx/siKqaMhhmXVoDcCzn0+ae1p8Va2niXKmQfzWfTxZkStzNu/3JdMgqkyD0PqpGcRwJvj/nEyDqDINQuunZRBlJvi9l2kQVaZBaP2kDKLMBP8OZBpElWkQWj8pg6jz+O69fioGka7x1VBikChp5MeviAP8RLPHoKXSeoOE1MuPn3YbFJTXGiTEC/z4WaOWKquN3lMHP95h1IHVlUYtneXHL4gGBbXlBoniU/x4r1FLbT6DbN6m0z8HOxw8SP59bpDp2hN8VZYZJMoqDRIlRi2V+tuSxyBeZdRSeYXRe6r+zlsy+tgV5QaJ0ip+vPqetXTCU2WgM8pm9855UK//898effTPnBFynxvElCkjrfj5z/951DSIKVO3k2kQU6ZuIzwT/DvQ/w/t+ngrIPyIBQAAAABJRU5ErkJggg==" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>##-------------------------------------------
+## No modelo para o número de grão por parcela
+Vcov.ng <- vcov(m2C.ng)
+Corr <- cov2cor(Vcov.ng)
+
+corrplot.mixed(Corr, lower = "number", upper = "ellipse",
+ diag = "l", tl.pos = "lt", tl.col = "black",
+ tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>## No modelo para o número de grão por vagem
+Vcov.gpv <- vcov(m1C.gpv)
+Corr <- cov2cor(Vcov.gpv)
+
+corrplot.mixed(Corr, lower = "number", upper = "ellipse",
+ diag = "l", tl.pos = "lt", tl.col = "black",
+ tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+</div>
+<div id="predicao-1" class="section level2">
+<h2>Predição</h2>
+<pre class="r"><code>## Predição pontual/intervalar
+pred <- with(soja,
+ expand.grid(
+ bloc = factor(levels(bloc)[1], levels = levels(bloc)),
+ umid = levels(umid),
+ K = levels(K)
+ ## nvag = 1
+ ))
+qn <- qnorm(0.975) * c(fit = 0, lwr = -1, upr = 1)
+
+## Definindos as matrizes de delineamento
+
+## Do modelo com interação
+f2.ng; f2.ng[-2]</code></pre>
+<pre><code>## ngra ~ bloc + umid * K</code></pre>
+<pre><code>## ~bloc + umid * K</code></pre>
+<pre class="r"><code>X2 <- model.matrix(f2.ng[-2], data = pred)
+
+## Como não temos interesse na interpretação dos efeitos de blocos
+## tomaremos a média desses efeitos para predição
+bl2 <- attr(X2, "assign") == 1
+X2[, bl2] <- X2[, bl2] * 0 + 1/(sum(bl2) + 1)
+head(X2)</code></pre>
+<pre><code>## (Intercept) blocII blocIII blocIV blocV umid50 umid62,5 K30 K60
+## 1 1 0.2 0.2 0.2 0.2 0 0 0 0
+## 2 1 0.2 0.2 0.2 0.2 1 0 0 0
+## 3 1 0.2 0.2 0.2 0.2 0 1 0 0
+## 4 1 0.2 0.2 0.2 0.2 0 0 1 0
+## 5 1 0.2 0.2 0.2 0.2 1 0 1 0
+## 6 1 0.2 0.2 0.2 0.2 0 1 1 0
+## K120 K180 umid50:K30 umid62,5:K30 umid50:K60 umid62,5:K60
+## 1 0 0 0 0 0 0
+## 2 0 0 0 0 0 0
+## 3 0 0 0 0 0 0
+## 4 0 0 0 0 0 0
+## 5 0 0 1 0 0 0
+## 6 0 0 0 1 0 0
+## umid50:K120 umid62,5:K120 umid50:K180 umid62,5:K180
+## 1 0 0 0 0
+## 2 0 0 0 0
+## 3 0 0 0 0
+## 4 0 0 0 0
+## 5 0 0 0 0
+## 6 0 0 0 0</code></pre>
+<pre class="r"><code>## Do modelo aditivo, apenas retiramos os termos referentes ao efeito de
+## interação
+X1 <- X2[, attr(X2, "assign") != 4]
+head(X1)</code></pre>
+<pre><code>## (Intercept) blocII blocIII blocIV blocV umid50 umid62,5 K30 K60
+## 1 1 0.2 0.2 0.2 0.2 0 0 0 0
+## 2 1 0.2 0.2 0.2 0.2 1 0 0 0
+## 3 1 0.2 0.2 0.2 0.2 0 1 0 0
+## 4 1 0.2 0.2 0.2 0.2 0 0 1 0
+## 5 1 0.2 0.2 0.2 0.2 1 0 1 0
+## 6 1 0.2 0.2 0.2 0.2 0 1 1 0
+## K120 K180
+## 1 0 0
+## 2 0 0
+## 3 0 0
+## 4 0 0
+## 5 0 0
+## 6 0 0</code></pre>
+<pre class="r"><code>library(multcomp)
+
+##-------------------------------------------
+## Considerando a Poisson
+
+## No modelo para o número de vagens
+aux <- exp(confint(glht(m2P.nv, linfct = X2),
+ calpha = univariate_calpha())$confint)
+colnames(aux) <- c("fit", "lwr", "upr")
+aux <- data.frame(modelo = "Poisson", aux)
+predP.nv <- cbind(pred, aux)
+
+## No modelo para o número de grãos por parcela
+aux <- exp(confint(glht(m2P.ng, linfct = X2),
+ calpha = univariate_calpha())$confint)
+colnames(aux) <- c("fit", "lwr", "upr")
+aux <- data.frame(modelo = "Poisson", aux)
+predP.ng <- cbind(pred, aux)
+
+## No modelo para o número de grãos por vagem
+aux <- exp(confint(glht(m1P.gpv, linfct = X1),
+ calpha = univariate_calpha())$confint)
+colnames(aux) <- c("fit", "lwr", "upr")
+aux <- data.frame(modelo = "Poisson", aux)
+predP.gpv <- cbind(pred, aux)
+
+##----------------------------------------------------------------------
+## Considerando a COM-Poisson
+
+##-------------------------------------------
+## No modelo para o número de vagens
+## Obtendo os parâmetros da distribuição (lambdas e phi)
+betas <- coef(m2C.nv)[-1]
+phi <- coef(m2C.nv)[1]
+loglambdas <- X2 %*% betas
+
+## Obtendo os erros padrão das estimativas
+## Obs.: Deve-se usar a matriz de variâncias e covariâncias
+## condicional, pois os parâmetros de locação (betas) e dispersão
+## (phi) não são ortogonais.
+Vc <- Vcov.nv[-1, -1] - Vcov.nv[-1, 1] %*%
+ solve(Vcov.nv[1, 1]) %*% Vcov.nv[1, -1]
+U <- chol(Vc)
+se <- sqrt(apply(X2 %*% t(U), MARGIN = 1, FUN = function(x) {
+ sum(x^2)
+}))
+
+aux <- c(loglambdas) + outer(se, qn, FUN = "*")
+aux <- apply(aux, MARGIN = 2,
+ FUN = function(col) {
+ sapply(col, FUN = function(p) {
+ y <- 0:200; py <- dcmp(y, p, phi, sumto = 300)
+ sum(y*py)
+ })
+ })
+aux <- data.frame(modelo = "COM-Poisson", aux)
+predC.nv <- cbind(pred, aux)
+
+##-------------------------------------------
+## No modelo para o número de grãos por parcela
+## Obtendo os parâmetros da distribuição (lambdas e phi)
+betas <- coef(m2C.ng)[-1]
+phi <- coef(m2C.ng)[1]
+loglambdas <- X2 %*% betas
+
+## Obtendo os erros padrão das estimativas
+## Obs.: Deve-se usar a matriz de variâncias e covariâncias
+## condicional, pois os parâmetros de locação (betas) e dispersão
+## (phi) não são ortogonais.
+Vc <- Vcov.ng[-1, -1] - Vcov.ng[-1, 1] %*%
+ solve(Vcov.ng[1, 1]) %*% Vcov.ng[1, -1]
+U <- chol(Vc)
+se <- sqrt(apply(X2 %*% t(U), MARGIN = 1, FUN = function(x) {
+ sum(x^2)
+}))
+
+aux <- c(loglambdas) + outer(se, qn, FUN = "*")
+aux <- apply(aux, MARGIN = 2,
+ FUN = function(col) {
+ sapply(col, FUN = function(p) {
+ y <- 0:350; py <- dcmp(y, p, phi, sumto = 700)
+ sum(y*py)
+ })
+ })
+aux <- data.frame(modelo = "COM-Poisson", aux)
+predC.ng <- cbind(pred, aux)
+
+##-------------------------------------------
+## No modelo para o número de grãos por vagem
+## Obtendo os parâmetros da distribuição (lambdas e phi)
+betas <- coef(m1C.gpv)[-1]
+phi <- coef(m1C.gpv)[1]
+loglambdas <- X1 %*% betas
+
+## Obtendo os erros padrão das estimativas
+## Obs.: Deve-se usar a matriz de variâncias e covariâncias
+## condicional, pois os parâmetros de locação (betas) e dispersão
+## (phi) não são ortogonais.
+Vc <- Vcov.gpv[-1, -1] - Vcov.gpv[-1, 1] %*%
+ solve(Vcov.gpv[1, 1]) %*% Vcov.gpv[1, -1]
+U <- chol(Vc)
+se <- sqrt(apply(X1 %*% t(U), MARGIN = 1, FUN = function(x) {
+ sum(x^2)
+}))
+
+aux <- c(loglambdas) + outer(se, qn, FUN = "*")
+aux <- apply(aux, MARGIN = 2,
+ FUN = function(col) {
+ sapply(col, FUN = function(p) {
+ y <- 0:30; py <- dcmp(y, p, phi, sumto = 50)
+ sum(y*py)
+ })
+ })
+aux <- data.frame(modelo = "COM-Poisson", aux)
+predC.gpv <- cbind(pred, aux)
+
+##-------------------------------------------
+## Visualizando os valores preditos intervalares pelos dois modelos
+da.nv <- rbind(predP.nv, predC.nv)
+da.nv <- da.nv[with(da.nv, order(umid, K, modelo)), ]
+
+da.ng <- rbind(predP.ng, predC.ng)
+da.ng <- da.ng[with(da.ng, order(umid, K, modelo)), ]
+
+da.gpv <- rbind(predP.gpv, predC.gpv)
+da.gpv <- da.gpv[with(da.gpv, order(umid, K, modelo)), ]
+
+source(paste0("https://gitlab.c3sl.ufpr.br/leg/legTools/raw/",
+ "issue%2315/R/panel.segplot.by.R"))
+
+key <- list(type = "o", divide = 1,
+ lines = list(pch = 1:nlevels(da.nv$modelo) + 3, lty = 1),
+ text = list(c("Poisson", "COM-Poisson")))
+
+xy1 <- xyplot(nvag ~ K | umid, data = soja,
+ xlab = "Nível de adubação potássica",
+ ylab = "Contagem",
+ type = c("p", "g"), alpha = 0.7,
+ key = key,
+ layout = c(NA, 1),
+ as.table = TRUE,
+ strip = strip.custom(
+ strip.names = TRUE, var.name = "Umidade")) +
+ as.layer(
+ segplot(
+ K ~ lwr + upr | umid,
+ centers = fit, groups = modelo, data = da.nv,
+ grid = TRUE, horizontal = FALSE, draw = FALSE,
+ lwd = 2, pch = 1:nlevels(da$modelo) + 3,
+ panel = panel.segplot.by, f = 0.1, as.table = TRUE)
+ )
+
+xy2 <- xyplot(ngra ~ K | umid, data = soja,
+ xlab = "Nível de adubação potássica",
+ ylab = "Contagem",
+ type = c("p", "g"), alpha = 0.7,
+ ## key = key,
+ layout = c(NA, 1),
+ as.table = TRUE,
+ strip = strip.custom(
+ strip.names = TRUE, var.name = "Umidade")) +
+ as.layer(
+ segplot(
+ K ~ lwr + upr | umid,
+ centers = fit, groups = modelo, data = da.ng,
+ grid = TRUE, horizontal = FALSE, draw = FALSE,
+ lwd = 2, pch = 1:nlevels(da$modelo) + 3,
+ panel = panel.segplot.by, f = 0.1, as.table = TRUE)
+ )
+
+xy3 <- xyplot(ngra/nvag ~ K | umid, data = soja,
+ xlab = "Nível de adubação potássica",
+ ylab = "Contagem",
+ type = c("p", "g"), alpha = 0.7,
+ ## key = key,
+ layout = c(NA, 1),
+ as.table = TRUE,
+ strip = strip.custom(
+ strip.names = TRUE, var.name = "Umidade")) +
+ as.layer(
+ segplot(
+ K ~ lwr + upr | umid,
+ centers = fit, groups = modelo, data = da.gpv,
+ grid = TRUE, horizontal = FALSE, draw = FALSE,
+ lwd = 2, pch = 1:nlevels(da$modelo) + 3,
+ panel = panel.segplot.by, f = 0.1, as.table = TRUE)
+ )
+
+## x11(width = 10, height = 50)
+print(xy1, split = c(1, 1, 1, 3), more = TRUE)
+print(xy2, split = c(1, 2, 1, 3), more = TRUE)
+print(xy3, split = c(1, 3, 1, 3), more = FALSE)</code></pre>
+<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAcICAMAAADzHlUSAAADAFBMVEUAAAABAQECAgIDAwMEBAQFBQUGBgYHBwcICAgJCQkKCgoLCwsMDAwNDQ0ODg4PDw8QEBARERESEhITExMUFBQVFRUWFhYXFxcYGBgZGRkaGhobGxscHBwdHR0eHh4fHx8gICAhISEiIiIjIyMkJCQlJSUmJiYnJycoKCgpKSkqKiorKyssLCwtLS0uLi4vLy8wMDAxMTEyMjIzMzM0NDQ1NTU2NjY3Nzc4ODg5OTk6Ojo7Ozs8PDw9PT0+Pj4/Pz9AQEBBQUFCQkJDQ0NERERFRUVGRkZHR0dISEhJSUlKSkpLS0tMTExNTU1OTk5PT09QUFBRUVFSUlJTU1NUVFRVVVVWVlZXV1dYWFhZWVlaWlpbW1tcXFxdXV1eXl5fX19gYGBhYWFiYmJjY2NkZGRlZWVmZmZnZ2doaGhpaWlqampra2tsbGxtbW1ubm5vb29wcHBxcXFycnJzc3N0dHR1dXV2dnZ3d3d4eHh5eXl6enp7e3t8fHx9fX1+fn5/f3+AgICBgYGCgoKDg4OEhISFhYWGhoaHh4eIiIiJiYmKioqLi4uMjIyNjY2Ojo6Pj4+QkJCRkZGSkpKTk5OUlJSVlZWWlpaXl5eYmJiZmZmampqbm5ucnJydnZ2enp6fn5+goKChoaGioqKjo6OkpKSlpaWmpqanp6eoqKipqamqqqqrq6usrKytra2urq6vr6+wsLCxsbGysrKzs7O0tLS1tbW2tra3t7e4uLi5ubm6urq7u7u8vLy9vb2+vr6/v7/AwMDBwcHCwsLDw8PExMTFxcXGxsbHx8fIyMjJycnKysrLy8vMzMzNzc3Ozs7Pz8/Q0NDR0dHS0tLT09PU1NTV1dXW1tbX19fY2NjZ2dna2trb29vc3Nzd3d3e3t7f39/g4ODh4eHi4uLj4+Pk5OTl5eXm5ubn5+fo6Ojp6enq6urr6+vs7Ozt7e3u7u7v7+/w8PDx8fHy8vLz8/P09PT19fX29vb39/f4+Pj5+fn6+vr7+/v8/Pz9/f3+/v7////isF19AAAACXBIWXMAAA9hAAAPYQGoP6dpAAAgAElEQVR4nOydCXwM5xvHX1FEJEHUWa2zaP/00JZSBHVVibsI4j6ikjgaIgipo446S1yN1hHUEUcVdZ9xZB0tShOEIiFxJRG59/3PzObOzsyz2Xl3ZzfP7/ORncz73Tfv7MzXzjvvHIRiMBjREHM3AINRc1AQDEYiKAgGIxEUBIORCAqCwUgEBcFgJIKCYDASQUEwGImgIBiMRFAQDEYiKAgGIxEUBIORCAqCwUgEBcFgJIKCYDASQUEwGImgIBiMRFAQDEYiKIiasqMzKdfdvdnHQeZuCCYzKAjbPKr6t/D6V9VHEPwlGUmp1p3sz5pzstIdNi3DgIKCMM7ashe4nxfK/gzDbThB6B0yImvG3WEvmbQLAwsKwjo/O13g/AgE0kV5QeKJd/acdC2LVmGAQUGYJ9BpnRPUD50gp8gx7VpP9xaTEuihPuXDKd3af2T7EVkvmWWB3T6+39T2g6MM245BQZTMxpr6UpaU1Tt/o54aeEFiPptAJ7hp6ePardJj/Eg4vVYrjaa6Zr5klV1v5eh9+2bD8okmX85CFBREySTc0ZPgMgPLBOsrSNBTQ9GRpyZ4HqBhRc5zv2wk++hBTpCdjiFaGpH5kl32XZk0Sn8n10y8lIUqKAjrXCi3lW4pdwFIC7tY/Ob/gPv5kMyghzlBnn9A3h50KPMlu2xSNW7ib3KaTcMxfFAQxrnw5m/cz61vAg3JEGQlucz9TCbLBEFo8uHx1cjujJfsMkGQaygIy6AgbBNTYZ3wuq5iDIi30R3gDSGLuJ9hRf4SBDlzl9LUdxdlvGSXoSDsg4KwTfKljIlLyRA8jvQWXrXtK0dQ7bcTKd1HrtMVqyl9Xu9Oxkt2mVclygtyhFHbMRQFUVeCupCyo2/zU/GeDd2nbtXSIGficnDvF5+PGnmVZrxklU15u8jQO5wgLQ6Yu91WHBTE0qNNS083dxusOCgIBiMRFASDkQgKwj5RblHmbgKmoEFBmCey3ufvwQ15MKP5V5/U+mphKtUeGti9fcMOy1MpXfE56ZVR/tSuqJvuDHq8esQUQUFY5261uXRutQgYrF1abnUKpUm7ymlTBnz+LzfjRNUGd/hxEZuMy0JmkrpZNF49wj4oCOPcrTaP+zm32l0QvYSc1U0Mo54V44SpB7bN0+g/zW2+FX5LbPi/Rtk4Xj3CPCgI2+j8oHQeyJDHxdwyph6F28zNmPyO7KA3B/YuKQzFr1n6SeNsHq8eYR4UhGnuVpufMQUyZCnZlDm5IGvH6RDx4QTREH9uOv2LV/kEwatHWAYFUTL5rgcp4ZA16WArfz3IaHIxc3KkcEoin9vEhROEfln+NaV7ptO8guDVI0yDgiiZfNeDrCqzLWPqtzKr5a8HGU7+yJz0Inszph6Rvrwgf5KVlLaPFgRJS+SSjlePmCAoCNv86aQ7lfCw058Aej75IXNyHfkxY+oMWcoLov2wdtr5MVQQZDYhxP4lXj1igqAgjPOn02EK9YOG21SPz5gMK1o/4xSrH0s95gWhQWRn77s6QcJDQ0NvUbx6xARBQViHN+Sw0yEYPI4MTsmYnER0dwp6XTmA0n/cKE15p24/7veGOQ/z4tUjrIOCMM9ep4VOvwPZ1JGkwZ5H2rgTA1+97lXkB65D/V8zflfrXFfKH+MK4X7Wyh4oxKtH2AcFYZ/fS++Dw2eGfV6mcoOx/Nkk27u82+wr95vc1KovSrv/R1+11tL/Btq8MfikDsWrR0wQFKRwBa8eMTAoCAYjERQEg5EICoLBSAQFwWAkgoJgMBJBQTAYiaAgGIxEUBAMRiIoCAYjERQEg5EICoLBSAQFwWAkgoJgMBJBQTAYiaAgGIxEUBAMRiIoiJqjPXkdxhlSZ8GaUliDgiiSK/6zXSIAXLp/nQp9XkH5a2770wDsswU1UimNH1HeaUCcHK5j6Z7v5vW+Am92IQ4KokReN0qlgW0A4JXJyU/rzQXy1zrEQ+qO6LybcBv9Nr84TZWJMngG+6CJlp5vB292IQ4KokSCBvM3QIyTBy+9ptRjOYxP/zQUWPcDfqM/mEKpbxdZXGDPl3tGj4+BN7sQBwVRIn7e3L69TRiIjXWLhfGnKgW2b3EawgobPZ+eC2VxgU1t/vZPk14b1OzCGhREibj7cj8cbwDIdK+eXU7D+FlOV7Rz3kwAsJmC3G2bJFu1jr3Qpnqd4wY0u/AGBVEiPp7cjxJPYfAG23gQP74zpUlFrwDYDEHiu0bJN0Vgr3RKTRlf4qlBzS6kQUGUSEBXSuMqAW44xT8EJ4I8A/ELO3A7QKUiAaxOkBSPe4CmCOykAEqT7R+Cm12Ig4IokaiKcTTYBwB6PKZ0rTeMv1shgV5urwWw90kypWnfnouJiUmRwwV2lReld9rCm12Ig4Iokh0Dl/glA7i97Sav2A7lg4csnxwDYPcMIeNOUE/C55wMrmPTJviumvkM3uxCHBQEg5EICoLBSAQFwWAkgoJgMBJBQTAYiaAgGIxEUBAMRiKmEGTMA/OzHozYzKT3gF+IpFUFW4AB9Ace1suKxRSC1L9gfrbBeTZsZpIzT6gFJIWkyEOM2VRSgAHC8w3YsBfqm58VCwpiHJsZFMQIFgUxP4uC5A4KAgwKYhybGRTECBYFMT+LguQOCgIMCmIcmxkUxAgWBTE/i4LkDgoCjGKC3CpXRiy2jqJFFsaWshN9U3F4/SpnGzs4ikW8xNLYMn+ZWpAztfZYf75obe4WmCBNR5i7BSZIzcMmF+Q9jfWnTSdzt8AEaTbR3C0wQeqiICyCglhLrFKQc7947pSbI5WQkIuh589eNKIFJhPEkEU1frFyh70g5l+RFieId0NSpf9pjWZnT9ums8SgNR1JgNyczOxs6li2w5+aVUSX9fy8lsKkyBtAUUIQxRc1a7F8+7dutMP4BholiOJLx+XUNA+N5peP7Cr2PKabYfyKtDhBNL+SkbqJj37PW7Sm3J6MqT35PpT8c3QJreK+fkqJpprAmp7jx4/v9GkoP7P1cG56fL76DYgi3yAKL2rWYk3qrtGMdjpjdPuM+wZReuk0mrl1Z57THCrpNqMjaaGbY/yKtDxBdpDxuolmx/MW7e16InMq36eYf44ue77lfgwur1nry//WSPgC0Xx51KgmahQSROFFzVysixU2aDQniswxun3GCaL00mkm1jvI/fxlCPejA9HVafyKtCpBNBdDMybgn+sZ/j/SEV01v23hXle31s10DjGqiRr2ghRkUTMXa02RC9zPmr2Mbh8zQQq0dIFvbOdftvLfF/4kWJhn/Iq0aEGWfV1hb2Pbj7YfaVrivSCNZkW7sru4+Xv7fFLva/5T/L3b2/ZtTuacc96rR/dP1une3rlRaFaV7U4Lr6GfbM+o2rt6yQ9+NqaVSguiyKJmLJa/Hf9LozZGt08xQRRZuve/yq57fJlzuqqNXpEWLcje7qRzUPDb1Vw27apWS6M5Mpxwn+uMRsc0xzrxn2Lj/Zp1xb1yzLnYhNvr9S11UHh7lyYZgnzf+K2P5wpTC1wy/kbjIYH+FYrvMqKVSguiyKJmLJanE/9Ly0ZGt08xQZRYumAycVjNOhOF6dD3/XRVG78iLVoQzUyyj/vfgnA9uomE+x/mJ+5zPVksUJPxPbyXm2jVLsechWS3RvMn8c9d4fGLoaPJD9zE2Xcye3OHuH8byXAjWqn4LpYSi5qxWO4O/C9t2xrdPuV2sRRYuu9Jo2VbOpOZ/PTYzhkzjV+RFizIFxc1c8gpjWYu3yFbQP7UaAK4zzWA8Ef4hM/1/JzuPes0yjFnKGnn0tOt1ZJ8dV6w5b+eR3TLNbNKdyNaqawgCi4qt1i+Rfn/Zpt+Y3T7FBJEmaUbTzZxK7KyMze57qNcR+iMWpGWJ8ifZJBuorFG97nO4z/XHzM/1++F7lkw9ymefHfAKU33RjnmDCH5u4O6ORV6c5+83d5cJbWnGNFKRQRReFF1qT1lEeH/Y20wwej2GSeIwks3S1iq1lxlBxrnPnZl1Iq0PEFC7esJI6PrOuj9XDcTbmeV+zVA48d/WX/VKMec2WR2vuq+4WrQHC26WaNx/jpj1nlP/ijP8bcOG9FKRQRReFEzF+tY8UUazbmS+41un3GCKLx024Qx3s+GaE40+yNjlhIr0vIE0XxLWq87sN23Mt+PI9z/FTP5/zp+JFz/YQnZprnYyO7HM0vbkyXc5zr5kGfNT3LMCalutzAkZMoBoZruzYT+3OS2pzXnOk7m93t1R0WC3vX8fnio5lTnVcY0UplTTZRd1KzF6vzpRc00BRpo5Kkmyi6dplWnUM22isdCPunGDw7OVmhFWqAgoTM/KFf8nXbcxzr1fdIhyK8+abeG+1y/XDmrIWnxk+ZQRye74XtJw1lnmts23dfWcXz2HM3xbm9V+PJHXTVffyZ8rntb123RjVPj4js1dJ+ze6kTp5rXdO61z6hGKiOIsouatVghvb/o7Xbe+OYZKYiyS6c506OdW/f9mp66U4bqK7QiLVAQvblo9Cl453RbTGiD8UY3RsP0ZEXjF1WpsDhZUbGlU2hFWosgiiWgoSJrCE93N3cUWpEoSJ7MMb7vygcFMXcUWpFmEGSHjQHXCltqihY3dwtMkIa25m6BCWKz3dSCnGl4TCy7D4kWWRjb5kOxkqM74PUfUwV7VKykTmexkkO74fWrnP3sjMkF+Vi0KBp+NxqVs73qiJVoI+H1U1WwoneCr9NTrCQlGl6/ytmPURAWLAoCjspZFIQJi4KAo3IWBWHCoiDgqJxFQZiwKAg4KmdRECYsCgKOylkUhAmLgoCjchYFYcKiIOConEVBmLAoCDgqZ1EQJiwKAo7KWRSECYuCgKNyFgVhwqIg4KicRUGYsCgIOCpnURAmLAoCjspZFIQJi4KAo3IWBWHCoiDgqJxFQZiwKAg4KmdRECYsCgKOylkUhAmLgoCjchYFYcKiIOConEVBmLBWI4j25p5/xAxRtSCJl/ffU6JeFIQJay2CRI0d6TNyXJT+QjULcm2w1+QBMxONrxcFYcJaiSBpYzdpI9ODxqXpLVWxIM/7n0mJTpq71Ph6URAmrJUI8s8oLdcH0brf1FuqYkH2zefZhB6vja4XBWHCWokgZ/yFTrq//o1ExYJs2CiwbiI7hwbUi4IwYa1EkPDhaZwgaUPD9ZaqWJCDs3n2ec8ko+tFQZiwViKIdsrq1MiUVVP1H8dSsSAJQw8mR8f5rTO+XhSECWslgtCnM9w83Pyf6S9UsSA03Guop+ty6LpEQUzNWosglMYcE9141CwI1d4/HadEvSgIE9Z6BMGRdGAdKIghLAoCjspZFIQJi4KAo3IWBWHCoiDgqJxFQZiwKAg4KmdRECYsCgKOylkUhAmLgoCjchYFYcKiIOConEVBmLAoCDgqZ1EQJiwKAo7KWRSECYuCgKNyFgVhwlqHIBF/0UIhSNypHdfElhIFYcJahyA13nhSGATR9PedNdznlf5CFIQJax2ClCZhhUCQ5/0vp0SnLV6kvxQFYcJamSDH/tZXbCWC7F2ku349QW8pCsKEtS5Bomyq6iu2EkGkr19HQZiw1iVIOHHUV2wlghycznfSn/RK1luKgjBhURBwzM4mdG0xedaAz1fpL0VBmLAoCDhmZ2O6Dug7tEfvH/SXoiBMWBQEHLOzexdpH2leYSfdpCwKAg4L9tw/2ElXN4uCgMOAjXnjHQPqPTSdZ6Oxk25KFgUBhwF7h9gbUG/iqB1J0U8nbtZfioIwYVEQcJgKEp8uW+VXHv9N6Du051r9d7BHQdiwKAg4LAW5Wmy0HHuXOFC+ky5WjoIwYVEQcFgKso04g1mRoCBMWEUESTm/7nwqAxYF0cfeestPXzkKwoRVQpB7I6fO9h31H4i9bwBLURADWBSECauAIKnuh7kN+eC3Ip3H3OxoOMsHBQGzKAgTVgFB/vYSNuQx1wHsNU84ywcFAbMoCBNWAUGEx59ROj1EYZYPCgJmURAmrAKC3Bmcym3IKYMgT/s2hOWDgoBZFIQJq4Ag2tlLEiMTF80FwXMWw1mKghjAoiBMWCWOYr1a2qtfr+X6zzHNmwQDWIqCGMCiIExYZQYKX19IZMKiIHAWBWHC4kg6OChInqAg8JhfkMTjPx9LREEAQUEMYa1FkMMD/RZNHXQMBZEPCmIIay2C9D3M7WL96YqCyAcFMYS1FkEGCn0QNxREPmBBRO9UmREUBB6zC+IpCOKFgsgHKMizBTX4s66v+M92ich6yRUUBB6zC9L1JddJf9FNDYIkpliDIBGddxNOkNeNUmlgm8yX3EFB4DG7IEMa+izybjhMBYLEOn1mDYJQ+oAXJGgwpY9IXMZLbgAFgcfsgnT/tmvvrt/2UIEgt4mDFQni581tCTZhGS8ZJdc1QgLrp4jlyWvRIgtje3wgVpIcCa8/xcxsaTIgJeGvVykDiKO+4vcGiL3x9RN4W4DsLeKQwZ6OlmP/JfY6dgtpYSxbP1C32d5QVBB3X27K8UbGi67gdeNPhNStGSOWqGjRIpOxkYqwLh3FSqIj4fXHmJl1JCOEhRxBHPQVN/UVe6MhCwlkQ4k9x0bFxOwhXeVYDSmlYwNJU2PZup/rNtvGr5UUxMeTmyrxNOMlN4C7WPCYfReraxKN1CaqoZPO72I9PbD+fPpvpKUcq/5drICulMZVSs94yQ2gIPCYXZCJc+IiX875Th2CnOozZ7GX1y8WLsh9kkxpVMU4GuyT+ZI7KAg8Zhfkr2VcJ/2nv1UhiH2/sJRo7Zreli3IniFk3AlKdwxc4pec9ZIrKAg8ZhckjKb8layKs3lvk5LLeTa5sWULIh8UBB4VCKKW091vE9tNAtsCBQFF3ax6BVk4Os1CBbGbwrMPm6IgoKibVa8gZcmdAghir6/Y1J30MesToh96TUBBQFE3a1pB1s3QGrjRG8Jq6SZic1dPsakFeTynW9d+O7aiIKComzWtIE7krsGCJDYeKA26zePZfQ0jtXtLE9vKeu5JZ/pTTV7dotTSx0Fkg4LAw+xbgYr1K7IT9d700mRFuZDI3eW2EMc1lfIbYp5zsVAQWNTNmkeQ5M7jwKysIJwhJUiZE0dGOB7l2bWVruUFUJCcQUEMYc0jSDgpYwArJwiNsiFLB48tPnjwEZ6dVyXvbbdQkJxBQQxhzSNIGCkNZgGCbClC6p198fHQU705Nr5Z/7zXiqIgOYOCGMJagyBbytqTMpPo7Za93Yjj84aj8l1LjYLkDApiCGsFgux3OlGaDKw+NzLeuQ5x+CS/HyhIrqAghrCqFiR239J9sbKCLDzFn+7+r1ekNqoMKdpXz7N5TC7Iwx0BR5JREFjUzapZkP2uc5fMcT0o3wfh2Mmzn0Q+njWBFNP37CpTC3Koz+KlvsN/RkFAUTerZkF6neXYM9+ABLm+rkfnnr/cUMW5WPau9zl2fS9mgnyhrxwFYcKqWZDBAjsQJEgYTb+eppKTFVmc7p6iYxM4dgCxf6aHQEGYsGoWxENgPYGCqOdsXtuNyp/u/uEmnvXtHU2/r0jeqReVn0BBmLBqFqRLAscmuFicIHbeD7hOerhhp7s3lyZvVp5J7Mc2eBT9fa2VxHnSBzH5CBSECatmQSZPexwZNXWKxQni0O3TBWtGve9hgCBexEnmsUI3K5BiDaJTfGr9x33baL3yG4KCMGHVLIhkx1tPvWoRxL7HZBeX/uNkO+mtjvOCrB0aTQPKkgrN4qTpQ6RINN1c9rawO6btn69uFIQJq2ZB+I53OuRUE5UJUnIFf7p7yudygpx0+pnYL636T/SKKotJi/4yhgwmRVbSm1WWCYJEVPsxbzkKwoRVtyDAc7FUJgi4k36yDClRNSxlbpWb3EafNuALKUPG1iV2lVemXK4xm2PDqy7JB6AgTFiTC/Jy39J9cdYtCLyTvoUUCXs4qdTqZP5bIaXr1+LktHrniP2l8kHR92v0JY30+IGCsGFNLcgfrvNXze2336oFgXfSp5Ei3/fxceg8PJATJLLeNHFyRiTfX7m8IpreKkts5+ghUBAmrKkF6c6Pjp/uYdWCcJ30ri4DxnWXFWRJJWJbPDAlpIpbD+IcUW2eJJx1xGsJqaGvHAVhwppaEN3o+CCrFoTrpCf9B+ikr678J7F1dzoSfatyDfJ57RnSNJ6LZRbW1ILoRsc9rFoQaCd9yI07xHbDgWnR9EoxYjdJpl4UxCysqQURRsdfuVi1IHbeWo691wwyUFhSx35E3pZnUZBCIIjftCeRUVOnW7UgDhMCnkf/6z4ZNJI+YYWOdQawKIj1C3J9Xa/OvX65Yd2CPJ/HddL3wW4c93w+z/6GgqiUNcNA4W1rHyh0oHwnHXzJLc/iBVNqZXEkHRy8Jj1PUBB44IL8N7n75MhCIkhTORYFUT1rakECan7j3rPmKqsVJFYnyFOO7Ubs9FzXlCsoiOpZUwtSfTPHBlW3WkEaBHCCaN37RtOx75DqtR9I0yiI6llTC1JfYP9ntYLcq/4dcRj0+dPocQ3WkpbTaz+UpFEQ1bOmFqSRwDayWkHovaqk2OexKaPqR/Od9OnvShqCgqieNbUgb8Vw7JO3YIJEb/1h9wsLE4QeJzaxNLDsI91RrKFNpFgURPWsqQXp1PxK5OVmXUCC7OqzfO0y172WJUh6D2LzA71b/XtBkBuV1krBKIjqWVMLcm1szfI1J1wDCdLtMlfvpe4WJUj6oI9Iqeo/pNx435sTRPPmFkkaBVE9a4aBwlvQgcIhQr1DLEoQj4Ya4nCzyurox++7kE8r/ipNoyCqZ9U8kp55anwpYL1qEGTxM34c5Nb6aHq/Aim+UoZGQVTPqlSQWJ51uffLnK13PiZFLsLqVYMgOUbSlxPRzzYz/EYf/uuC3QlAQTh2lxiLgjBhzSWI3ueZZ2fASG1pMrJShV+nVyxF7JyOgepVmSCwc7H2uK4LmuO2FiTIHtdAjl2DgpiQNaEgsVphQ37JsT+SIqGS7KsWg0qT/5Xt1raRYxviuN/pqHTVlitIqf5RHLu9G0QQHbtDhEVBmLAmFMSV/1YIC6gXSVdUIKWcjkvCr1oUJw4RdMZbt4ZyG/0BpyOStOUKYruSZ9M+hwiSwTZBQUzImlCQV859SpPxNSIil1c5SErvl9lvirUhA+iFohe5Tjq30a92eCUFW7Ag6wW2OUiQ9RnXuutlURAmrCn7IK9aFiNV79FZb93iO+ky+01zbcjbL5LadXjcidvoI+tOkaw5U5AI4qSvWMWClBx7i+ukX20GEURgd/31BQpiQtaknfRXNuQovch9KwhHsVZJfSvMrepAqtYPu9e56jTiKHfLqCxBtN4r9BWrWBD77h8v3jCm9jhQJ737x4s41gsFMSFrUkH8bUiHlOR2HRJ5QR7VnSpOBlb+pzS5UPO9doOafUrs5fzIEkQkKhbErtcPfb9yn+ECEcSu11zXr0b5i7AoCBPWlILMqO1AmvRIedC3+VVSOqLafAl0801+o3++OJImtyI2PnI1f2T/0kIFke54G8KiIExYEwqytNrd0uRK84GRaX0/Iw7AbwVKb5ASslXHP6WWKgh20tXNmlCQ4Ah+o49fHUmTWhKbyXK4IdeD6NpgiYKUHJvGsf+CBNGxYSIsCsKENc9I+nXAt0LhEMTed8GDyEtDp4M66b7z/xNnURAmrErPxaKFRpC4ANev3I/DzsXi2VFiLArChEVBwMH7YuUJCgIPCpIVFISqfaM3hFW1INGb/DbFoCDZbPha/2A83d2krJoFCe4XsGld/90oSCa7y23dlqWDfi8yQF85CsKEVbMgXf/h2BvdUJAM1s7tGcf+4R2RrK8cBWHCqlmQYQI7DAURcp+UWiWMpPd6qbccBWHCqlkQ3TXpY1AQIVr/YbqR9P5P9JajIExYRQSJ4jrTjyGgYYJ0DuPqDeuEgmQkxEsYde+frrcUBWHCGi9IUlxI3182r+t7HsAaJoj7e3PXzXkPv0Eyo50+/96dS0NP6y9FQZiwxgvyWdneN7mN/vqA1/KsYYK4rHbv4L6qCwqSmcT1gztOELuYHwVhwhoviCMZLmz0312SZ7GTnjtZggST1sa2AQVhwiohiK4zPc3vkCyLnfTcyRIkduxhY9uAgjBhlRCk80tuQ37ehVSQZQ3spPP1vigUnXQF2oCCMGGVEGSe11+3rnrMN+D8Kpggcz2vCvVaryAxb7yDgqibVUKQf//gOtMHbikuyK39XL37/7ViQei5f1AQdbNKCBJu8Bm6eDav8m1AQZiwKAg4KEiemFyQF5tmLP+bQb0oCAqSIxYrSITrT7u2um1WvF5JFgUBBwXJE1ML4rmfY5/2D1e6XkkWBQEHBckTEwvyvHc6z67apnC90iwKAo6hghwgLkrWK8davSCP+wvsr0EK1yvNoiDgGCpI+j7JZ6Qr3QarFyTd7TrHpoyGnBWrXBtQEHCA7F1+2RjUK8davSD0rNup8JszZoiuZiZtQEHAAbLpw+egIGwO8174rueIDYnK14uCmFIQc7GFQBAcKNTHoiAwFgVhwqIg4KicRUEKzL7YMHGx2Ag9CgKOylkUpKDsPakRehQEHJWzKEhBWa9DHPvcTf8IvfoFSfy4D6whKAgsKEjuPO+t5dnV+kfozSNIOCkDZsFBQWBBQXLniavA/qJ/H8s8giR38JJla7zxBAUxgEVBCshqB14TRuj133REEUH+WzVh1QNDBIEk4i+KghjAoiAFZUPcTv19Y8ZM/YVKCLLFbfuebQN+AwhSv9RzAzd6Q1gUBBQUJG8u+/Xy2Jakv0wJQVzucBtyuAtAkJj7FAVhxKIgTFglBBkpbMjDAYIIQUGYsCgIE1YJQcYIG/JoFMSsLCNB9nw3r/cVSq/4z3aJyFOEgoDiSDo95zbkp1+bV5BbS8Yt/lekTBFBzsz1XqX/wQPG1asKQY6KwQ+aaOn5dvR1o1Qa2CZPGQoCiiNZ4hFy+eyYZWYV5HKuyPMAACAASURBVGi/7Xt+63dcf6ESgvw8cu/ewD63gbQFCRIbFRV1T/QDOl/uGT0+hgYNpvQRictdhoKA4kjCTnr38D4NOcwrhIUgca53uF2scNd4vaUKCPLvoFiOPeoJxC1GkEv/I0L0P3OE0tTmb/806TX18+Y2CJsw3by0JXOFuL8bL5bHsaJFFsZ2+0KsJC4SVrcD+Ss+nmOvEkfYG4D1GsSeGM+xcfHjTuot/Wi02PtiHwP/wK8/8Wxs9/9gOLhe5di6Y3Sb7dI0QwT5uO5Pwbu4iAlCL7SpXuc4dfflJh1v6GYle44Q4lL7pViinosWWRjbtZVYyYtIWN0O5PLLlxx7iTjC3gCs1yD20ESOffHS+4je0k/Gib3veRTwD6xZKbC9bsNwcL3Kse9+o9tsv9P7iE8xQWxlbqJzpVNqyvgST334r84ST3OX4S4WKIacaiKExS5WTO/H3C5WVO+neksV2MUKHZXEsaGDgRdEW8wuVvvLwstJMXhSAPeNYf8woCu3G1spz9cMCgKKKgShW0eeuXx6hMgtk4wXZOG2OT6aq3+4ij3eqaD1KsgWTJDoIXdfvHjxuLcYvMqL0jttaVTFOBrsk6cMBQFFHYJoT3n38D4lUmi0IPeJU+pOj17T/4E2x2IE+aeurpMuBqdN8F018xmlOwYu8cu774aCgJItiB3sDRY4UJh1rysqcsZOAetVki2YIF+8u3jb9u2bGsObkB0URD6XY3lBUk9z7BBSBHbPO0sW5C+78aA3WIwgdrpDt4HwJmQHBZHPpE+eO5JbfdpGpg9vQByqrIA0xpIFMfH9dg1hCyZI26vCy2V4E7KDgshH6/WBA2n5ddLDYY00pPTNKssB70FBmLAFEyRiMD+y89QV3oTsoCCAaL2KkpZJ2sEfxvCd9KsV18m/BQVhwhZMkLeIdCddKigIJIk25Aw9Y/O37ijWr8Vfyb4DBWHCFkyQASM2bdmy5dfP4E3IDgoCSNLXb5B6MXRqtQhekONO++XfgoIwYQsmyB8RwstaeBOyg4LIJ+nrrx3JwA9iIudVO05Kn4D4YamCnJn57conVicIjVz/B6WP4C3IERREPl7OrxxJ2MhmkXReFVLK6Q9IYyxTkNUj9x0K7LPE2gQ540i6U7p6F7wJOd6LgsjmnwR+HER7mWNHkiJbQY2xSEFKDY3j2JPtrE2Q5qujJnI7Ar3gTcgOCgJK4RhJLxnIs9qm1ibICErdKU18C96E7KAgoKjjXCzKWBDbdYIgX1ibIKMoHUTprtrwJmRH1YJEBXw7M0SBelEQSLhdrJHC6e6trU2Q+f63v3mx2X4EvAnZUbMg//bffuSoJ/jgHAoiEngnfZ7PhXN/uM6zNkFS2vHDhPVewpuQHTULMiqEYxOG3DS6XhQEEk6QtD98Bs0Ps77DvMm7p07ZDDxHOU9ULEhMH+GO7Wthh41QEBwozJHcgjQRfv47fuIheCsyomJBol0FNnCL0fWiIJBYsSBVz4ZpaUKFkq2rjYI+XzkzigjygOtMnwL/ZWi92qGXODZxuNiD1eD1oiCQGCiI9uTMbwMegmqGt0GOLZgg4cUIGZz+F9lD02dA90cyo4Qg1/tsP3LEE3SZhAH1HnYP6b/z7IVJS42vFwWBxEBBlnkdO/JbH+j1uea9onD8lVvev10hsZSmj4G3Q4gCgmhH8p3pV4OhnxWw3i/Jzoj5g3wOKfDNhIJAYpgg14cmcOwZd9PeAaVggvCfjNbnCnnNvU6Gt0OIAoJkdKbXGN+ZzpWW5DcdGxtlbL0oCCSGCbJZN+reOwZUt3kFmcb9e9nkGLlLhSF1g6KAIJmdaVaC/M/+hZH1oiCQGCZIkG7Uva8lCLJx8KYVH3zzdnmPVLrf0BOylNjFGhoq7GIZ35nOlSxBHAjsbsooiEiYCHJ1xGt+F2u4Jexi0UWVyRfRu3d4OFQvfx3eDiFKdNL/7rP97HFPBTrTuYKC6GXVIghd7HXi7G99roGqNrcgVMt3P2jy5p8NvihEkcO8d7nO9GGlD/OiIHpZ1QiiPegzaME9UM3wNsixRj0fZBG8Cdkx7UDh07NaFMQ4VjWCWNBAYeyCPm2+/LJlWXgTsmNaQbqTIyiIcSwKAkouQXrYdvtwZL/3v4E3ITumFSRrozeERUFysigIKLkEcTzLH92d9x+8CdkxkyAjv5R9Awqil0VBQMklSG1KR7yiUR3gTciOmQRxJHfALAqSk0VBQMklyPCHdPN3sSuBV0vnjpkEAWz0KIheFgUBJfetR9tGpHxASGd4E7KDgoCCghS8XiXZggnCX7b98ueV8vfD1BMUBBQUpOD1KskWTJCKws9DHvAmZAcFAaVQCbKONAC9wSIESbn6KKFCIpdXG0rBm5AdFAQU6xdkWxIvyJN90fRFLVJsH6QtFiFIYkWSmabwJmQHBQHF+gXp0fEf4hD13ozomA87kIblggFvsQhB6Mmg7e9u5LMrDt6E7KAgoFi/IGl9PyP2taen/Puhx1bSMgRiiGUIwmUP/G/ni/GCBLlEoyD5YnGC0LTOxMbv4Ljyn93lO+mQZzxYjCAZOZCuZ6ZcjBekJdmBguSL5QlCT5Mi87y9Sm/r/yN/FGvMh7JvsBxBEq+dPn36SAtD72jCx3hBnMk2HfvPOVkWBTGaZSbIw+rkjcrPkod8dORLTpCZNeTPZLcYQY6W1/XSzfMNkiXIO2/IXn5p8YK8LAt82LbFCfLwXU9i27jFiyceHzUiLb+veV/+LRYjSP1Pfv/7Ghczf4PYK3t+lSoFoa+BRy4sTpBGE28T29VfD4vWepYi1WsB/LAcQUrcgv/xvEFBQKlV7CnDjd4QlpUgd4QH6Ly8G01PVyW2smsSXK+ybMEEaapbHNBC5Y11CBL+cypbQSL4O1JYtSC6R7DxN4Prv5h8DnqDxQhyf2Ia/zIU3oTsWIcgX5O9bAURogoWH+IJSi5BPnYsU61atUpF4E3IjnUI0ops1bEpifqKURBIrPdkxa6tvps0aZLX2/AmZMfKBGlWSd85zSgIJNYryM+6m2FNgTchO6oW5MaMgeOC0wwRRD9bqAVJ3TluoD/kIUTWKwhN/33Gsr/gDcgZNQsy13X/uQuTFqAgOVmDBdE9Vu2qfNXWK8irloSQIj4FGQZRtSCthOeDjCiFguRgDRXk8ijhwZzD5LcO6xVk4rsbHyaHfbsN3oTsqFmQZgK7zhYFycEaKkjQr8IGB7jJtPUK0uIx/1NrdX2QprrHKpREQXKwhgqy+Wd+g9P2fi5btfUKkvHIg1HwJmRHzYK0/ZXrpG8aUIzIdjFREFFBrg+M5Ta4I6Plq7ZeQTyED+3uJ/AmZEelgpw9z7Hjq325ftlHdW1I62SZelEQ8U766pH7DgX2CZev2noFWeN2/sHlRZXHwpuQHZUKcsTpVEvi3LHaqO97OpUkbdu9lq4XBZEYBxFGxwFVW68g2vFFCCEdzHTbHza7WIecPiTlnV9FezZYaktudW2nd4Q8KygIDhTmTp4rCsM2rgwp0FFe1QpCD71BHOPp2LqRfCc9sX0Xyb0sFEREkBQXr0IuSGrWB1agLxDTCwIdHU8tQz45/rLUqpdu/DjIhaKXpWCVCaI95dNv8mnl66UGC3KHOBoiiDDq/o9VCfJjuWEZT5Vygz4NK1dMLcgc1/1XQyfNlRUktU8ZYtfql4DSrdZy7Pk3pQd5VCbI1pFnL58Zvl3xeqnBgmR9K6Qulz0UyLFzfDRX/3D9wZoE+SrrliYnxsGbkB1TC+KsGx1/g0jrnNrHuTmZUsbL27PsBgey402ZjU1dgsT0fsyxUb2fKlyvwBZQkL3ka7mqbxM73ah7S2sSpFbWvnks7H6ReWJCQY4c5kfHU+fcT9G2tCGNE6TYZZ++4HbHfncKT7lSwZaU2SHTBnUJcm6awE49r3C9AltAQbaSVnJV3ya2ulH3ZtYkyKdZs7RV4E3IjgkFOeO0vyVp8k3Lh0mDapYk3ZpK3eju1WuhQx/D1XuhCFks1wZ1CXJxssBODFW4XoFlKUhJYdQ9vYk1CZL91JwHZnpGIXwXK6RcfVL+o6k936vdtxT5103SEF2Hfnovj+A0iztZMc71DseGu0IPm6hGkFKD+FH3o19ZkyDNUzOndpvp3rwG9EFCipGa74xr+3aDntyGnNqzteTwH9eh7wfr0KtNEHq0386DO/odV7xeylgQh5+FUfdl1iTI9LUZE8n1R8CbkB2TCpJUmrx/bIltl5PudtyGfKa45DUsXIf+b67eZIGVicoEoTeXjFv6L4N6WQtCz/zgvcq6rkl/UC5EeI0f/AbkqrF8MaUgSR3LkWK76NnKK3+xJbfl7v7akjQX6v0FT3fPybIVxPoGCuliMnDTxX1zqhFveAtyxISCJHXs1II0KLcr+lrlfiVJkNzdkTNPd1+Np7vnZFEQULIF0S4qxt921GZ8GrwFOWJCQRa1fNWSdFhU7nbK2ZIlSBm5u4dz7DGu3pcDLa6TzpRFQUDJeS7W4yWjh88HnM6sNyYUJCWV2+iX9lm9d88IvyJkmVy9PLuOY9dZXiedJYuCgKLv8QcFisnPxYpZP3HxJQr4VshiUZCcLAoCigoF0RYj1+VY5vfFQkFyBwUxNkYKcvgIL4hw+sgIG/K55OkjFAVRgDWBIL+TjqC2oCCAtzvtdyZb2rzdfUzLZqVkTh+hKIgCrMGCJK4f3mv6VUMESd0I69GiIID3ny33P1Kn6tGrXatOtSdhA+RPH0FBjGMNFsTf/8bfJ91myQvygLxplo3eENbyBKFni5Fyl7WDPn4y2o7cSenxpczpIyiIkayhgtiNSeU2uL+d5QWhG/9EQfLFaEGSHEk9Glt2KX+Dtzv0ZPG/pWAUxGjWUEEyTmH/AiAIHxQkT4wVhD995I1gerby8lWcIEecDkjSrAVJLUb0XZpbmAUpuYbf4NI+R0EKFiMFSerYqTn5vFTXnt+U+cSObHD6UxpnIsjvwbwgZz7rOuLXXkXJBy/yE2KCpP8xppsH/OnZFilIqf7PuA1uX0eQIInrR/T0hl7GgoIABFnYKsGZjKtsu2ZJvZIliKOMH2wEufzm1lZk6ltNb117r4Y96fdh/rvQignyi+fVW1fHbJZrSWYsUhCHTQN/27XUdTlEEK2f/63wk27yj/PWBQWRf3tKGnUmzUN+nrj4cp8iJFAOZ7OLdbXCe6R0x7RHXVuNsCPhoz/Mdy24iCBRfZ5zu1hP+8jf11kXyxSEXl00ceNLwGFeSkN0HfqBwO9UFARUg3PmaeklzPaEqavFSPm09J5NYvlT49MGNs57rFlEkJDpQh9kKvR/TAsVBDpQSOmm9QLbD3IfRoqCgAVpms6zfCddjmUkSLwDqZUeV3EeXcWfGn/I7kaecv2C7PXxEQTxviTXlIxYvSBbhQ59+jd6unH6goKAanAmXy3+rueIgL52IEEucuyGREUFiW9RkRR3/a6jQ5e+pcjtvU75btmmX5DypOtNTpDrrnInyGTGMgVJXD+c63iDBPlX16H3ArYFBQHVwHXSa4zdtOTDnqCzef3dToXfnDFDSUHiW/RtSfoXbbfJr3h9B7LG6VQ+Qr8gjmRLn193/ton5Pp/cm3RxTIF0XW8/UFHsXQd+nvAtqAgoBr4TvrGGcsvjy4JEaT5da7elNGA68zBgvzoktyKNF9X2mf5HvvipEx+P0QFCb+/dmrgg5jiosMkuWORgmSMpDeHjYNc/WnGppfQtqAgoBqcs68dhwgisL8CrjM3bKBQV+8c/UfSRAUR+iBhpLRc/bpYpCC263Ek3ZiYupOewQKuMzdMkCaZbYCfalI4BMGRdOOihCCd9nNsTP9SEEEE9ml/2BWFBggiWa8SgqT/4d7BXQWj7gaPpA8QOt6dUZCCRQlBAlx/2rXV7TdQJ32FwG5V/Fys5a7LxOtVQpBfvP66ddVjPYAUohpBHDYLHW8/UgtUPwqSJ4pccvuc66T/Dbwm/cUmnjVEkIpFZLegVmSrVL0KCBLl+pLbkJ/3BY6hqUMQ3yh+HGRrrxmbLpYltnMh9RdWQbQnRa4XV+0TprLZkN9l21Cg090NEiRkurAhTzP7qLshgkx57xxx0JTfHP13xVGkae0ZgPoLqSDX3PanUXrFf7ZLRJ4S9QrSkfwObgN7QTQThQ35O7OPuhu0izW9KrErtzPlZMV1W0mrB7X95esvnIJc6xDP/XzdKJUGtslTJCrIhQkdB2+UfnSmLqwECd+YepFrwwZIG9gLktBvNddJX9Vf5nG7WVGHINSTFNlJ/6m8XDjV5O47C2XrL5SCpH8qnOIfNJjSRyTPiXxigpwcdvnOvXn+gCeDshKE0lN8G+bPALSBvSDc7sq8dXPq+QFIISoRZAcpEkGDyoYLgqT3aS1bf6EU5FSlwPYtTlM/b64vYhOWu0xEkLR+4dwGl+Z5Qb52ZoKk9xfa4AV4UBN7QaJcwzf5bQqzrE46PVeGlKgekbKo0jVOkNRereSfWFIoBZnldEU7580Ed19u2jHjTNfEHm2EfFrrmb7c/ObZs6inz5av1luaK1+QdQL7rBS5JM8G6lh7opGt+JauDStWybehGflZqt4u7fW9yYFjn0Y+exZKHOX/wsGJz55x7Hd/yqNCIoGcwexTsZLPJuWb9afTfGLv987lqKXlZ5AvXJo/lK//aRS8LWZg67TUbbY9k5QUZHxnSpOKXvHx5KZLZFxNpA3eJmRm3UR9ieqRkPjkVeLSrXpLc6U5CUrk2UR78o8c24Js0rHNqzyVrTiqu9CGZVvk2+BMNurqdSA39BR3/1TfmxzJ9cTXkYmJ10hp+b8QMj4xkWPHXpBHhUQCOYPZ12IlDYbln7X+BnFI9P7mSeKq0qR8q2eA+l89gbfFDGy9WbrNNlhuv9sgQRZ24IQoFRnQldK4SnnGgsX6IBMO8KPjAwAndhZoFysdcnRqgjA6DmmDCTrpA25yu0LX3SCHDPioYxcr+3qQoaRMPKT+QrmLdbdCAr3cXhtVMY4G++QpExPk4cCftgQN2qO/MFcMEWS83d/gQ7d8G5Zt2Qxqgwk66aH9f9m8rj/0KK/qBNlKWoDqL5SC0OAhyyfHULpj4BK/5DxFood5E3b6rwUcaTJMECFgQWhCMLANJhCEPuE66dCr19UoCJ6LVaCYdqDQkHoNYU0hiIWezYuCGBcUBAXJGRQkT6xGkGOjvnINiEdBcocTJG5F36/cj6MgBYy1CDJt2KU79+ZPQUFyhxPEd8H9O5eG+qEgBYu1CNJMN+qu/1r3wiyI3bh0boP7F3hNOgqSN9YiiO6a9PV4yW3u3Ca2G4QNrhkKUrAoKEiFIlGgNzAR5PM0ng3Qf617YRak5Cq8Jt2YKCLIUa6DvDL+zC7Yn2QiSKedHBvlatg16bd+G9xu8PabVi1IKdcoboPb7oKCFCzGC9KJzB52OfK/eZOhNzRgIshKtzlBP7vuMayT7u99+0H4dzOtWhCHXa6BQXPcVqEgBYvxgkRs6q3rIEPbzuYwb8KuBb/eNnAcpHMct4v18mvrFoSG/bJgdwIe5i1gjBeEPnbT3QxuE/BPqmeg0FPog4yxckFwoNCYKCDIi166DvJO4J9UjyDDBEGGoCDZQUHyRFQQXccbVIcP30GO7PcQ+CdZCvKpU6yeYjFBus3jOunzOpA35C6/0QUFMTurHkEO8h3v+bCOd5TbD1wHWf7mPBlhKUiS3ue06xFkygFOkFE1Pvx1eu0y5I2vQJd5oCBmZ1UjSFqf29wGlz4e1h5dBxkaBoKMLfGXFKtHkBNOfziSlhWGzVlW5X1S2rU55LsSBTE7qxpBoszf8TaETY+XZPXtYoWUsyMlt2hD3lngQUqn9W+m96snd1AQs7OqEeTlN0LHe7kZO94Ksnr7ICFFuG0mstr3dDDXSU/p1iZN9g+gIGZnVSMI9Qk2d8dbQVavIJoi5PMrYU4bL3Xnj2KNqy/fUUdBzM6qRZAQ/zt8x7vfPmg1lieI5s2SxKH5inmlP9tLSmuHfwp4cCUKYnZWLYK0IbsS/1yw5QG4GosTRPPmFkeyzWnSvOWV/ElpkB8oiPlZtQiSdYZuCPA7xOIEGbWKP5v3eMtIerM8KQ7yAwUxP6s6Qcx4CruCrPTp7sHE5jHoD6AgZmdVJ4gZL4JSkJW7HsQR9gdQELOzKAgTtjBfMJUhyF7yNah+FCRPUJDCIUjq8pug+lGQPEFBrFqQ6KLvqH6jN4QtFIL8Bzt31uB6URA9OX1N9Ru9Iaz1C6Ld2799l/nPoc1DQfKyBgrCR+UbvSGs9Quyb3TY45jl3vInPhlYrySLgoCjctbqBUntc59jtRNOAZuHguRlURBQLFWQjNPo15v2NHoUBByVs1YvyEvd9evLg4HNYy7IbRTEklirF4T6buHYe31Nexq9mCDXA3t17vXLdRTEYljrFyR6+JQ1S/scgjaPrSCT/R5HRk2dgoJYDGv9gtDkQwu2PILCjAXpksD1QV65oCAWwxYCQdQ0ku4ldNI9UBCLYVEQJqyYIEOFTvpgFMRiWBSECSsmSHdfrpPu2xUFsRgWBWHCit56tP60VVPqj0RBLIZFQZiwop30qN+X7nuMnXTLYVEQJix20sFROYuCGMHeShArkeikcxvnQGsX5NUteP0oSJ5YiyDavf1cXMROoxcTpFcIJ8jpXtYtyLN5Li7994m+LU9QkDyxFkH2jA6LfrZiXKreQjFB9rvOWzW330GrFiRlbMDz6H/doffeR0HyxEoESe39kD+N3ueE3lLRkxVfcp30OOs+WfHYZC23wT3oDbwCBwXJEysRJOMxcOs36i0tzKe7b9gobHD9n8DqR0HyREaQUhYiSFyPFJ5dtltvqbQgL8s2hv0RixQk+Cd+g0vuIXoEI3dQkDyRFuSZDTkMqsbcgtAZG/nT6F313wdSWhD6GvhHLFKQSNf73Aa3/ntg/ShInugRZKUfL8gj5/CUqHrFyZt/Q6oxuyAxI32XLnI9or9QvyCDmifpBIFGFazBR7EOuy5e6jvqGbB+FCRP9AgSWdfXmayu6xsd+cEkezK34jVANWYXhKadDdgbI1KmXxA+hUAQGr0nIAR6kwwUJG/07WJFN6hKys+jtxp4ablOeiDEEPMLYvhIOp/CIIjaN3pDWHUIQqPtSD8aV3+IVjiKtayq/HNCUBBTsSgIKGwFuVuCdNzcrWz1OU94QRZVlb8CEAUxFYuCgMJUkLvVapI3G0bea9HIgxPEv9Z9+WpQEFOxKAgozDvpn9TyjX7Zql5J4ln7P0A1KIipWBQEFJaCBPpTZ+L8qP3tlNh3i5KqdyHVoCCmYlEQUJgPFH4ujEzPtyGwm4SiIKZiURBQmAvSK1AbnXKrn6WcaiLNoiDgqJxVjyC/eIxdPLvvGUs5WVGaRUHAUTmrHkG28SPTzyzmbF5pFgUBR+WsigSxrNPdpVkUBByVsygIExYFAUflLArChEVBwFE5i4IwYVEQcFTOoiBMWBQEHJWzKAgTFgUBR+UsCsKERUHAUTmLgjBhURBwVM6iIExYFAQclbMoCBMWBQFH5SwKwoRFQcBROasmQVIvP0VBckUVLAoCCnNBftvco+8305+gIDmiChYFAYW5IF4+T6ITt41BQXJEFSwKAgpzQZrE8Bvc1JIoSHZUwaIgoDAXxFnY4NbboiDZUQWLgoDCXJDGyfwGtwgFyRFVsCgIKMwFcV2jjU652R+vSc8RVbAoCCjMBVk/aeyc79002EnPEVWwKAgo7MdBtH9tOBZP29V4DaoGBTEVi4KAwliQ1iRY7Ru9ISwKAo7KWbUI8seQWLVv9IawKAg4KmfVIogQdW/0hrAoCDgqZ1EQJiwKAo7KWRSECYuCgKNyFgVhwqIg4KicRUGYsCgIOCpnURAmLAoCjspZFIQJi4KAo3IWBWHCoiDgqJxFQZiwKAg4KmeZCfJwOvfjiv9sl4g8BSgIPKpgURBQDBRE26sCpa8bpdLANnlKUBB4VMGiIKAYKMi2xVUpDRpM6SMSl7sEBYFHFSwKAophgjz96XBNSv28uQ3CJix3EQoCjypYFAQUwwSZm3SY20TcfblJxxu6Wa/fKivEodZjsUSKllga27mrihrDim3mr6LGsGLfr6HbbN+Su0zJIEGOnaaH61Lq48lNl3iaMTP2uZADH6aLJTpJtMjC2J7viZWkRcLrT1cFmyZWUre3WElSNLx+lbMfHtBttrFy27xBgrSqW7dqsRqHArpSGlcpPXcZ7mLBowoWd7FAMfQw75/vUhpVMY4G++QpQEHgUQWLgoBioCDrOr0x+y7dMXCJX3KeEhQEHlWwKAgoOJJuCIuCgKNyFgVhwqIg4KicRUGYsCgIOCpnURAmLAoCjspZFIQJi4KAo3IWBWHCoiDgqJxFQZiwKAg4KmdRECYsCgKOylkUhAmLgoCjchYFYcKiIOConEVBmLAoCDgqZ9UkSPTJsDRwNSiIqVgUBBTmgiQv6uM5dPRtaDUoiKlYFAQU5oKsnf4qOnn/sARgNSiIqVgUBBTWgiT2eslvcDMPAqtBQUzFoiCgsBYkcpCwwW3YCKwGBTEVi4KAwlqQhB6v+A1u7n5gNSiIqVgUBBTmfZDFc5OiU04NeAmsBgUxFYuCgMJckNffu032HHIdWg0KYioWBQHFBOMgEfsvJ4GrQUFMxaIgoOBIuiEsCgKOylkUhAmLgoCjchYFYcKiIOConEVBmLAoCDgqZ1EQJiwKAo7KWRSECYuCgKNyFgVhwqIg4KicRUGYsCgIOCpnURAmLAoCjspZFIQJi4KAo3IWBWHCoiDgqJxFQZiwKAg4KmdRECYsCgKOylkUhAmLgoCjchYFYcKiIOConEVBmLAoCDgqZ1EQJiwKAo7KWRSECYuCgKNyFgVhwqIg4KicRUGYsCgIOCpnzSBIXY1YDp0XLbIwts07YiWhB+H1a1TBhoqVvNNGvinLlwAAIABJREFUrOT8IXj9KmfrmlyQW7VqiqViVdEiC2MrlhUrqVEJXn9NVbA1xErKVhQrqSpaYnFsrVumFkQi9S+Yn21wng2bmWSSCmZTCHx/jxWbSpLBbFbON2DDXqhvflYsKIhxbGZQECNYFMT8LAqSOygIMCiIcWxmUBAjWBTE/CwKkjsoCDAoiHFsZlAQI1gUxPwsCpI7KAgwphBk/APzsxMYsZlJ7ys6Mp0vWlWw6WA2Kw8mMGLHm58ViykEwWAsNigIBiMRFASDkQgKgsFIBAXBYCSCgmAwErFYQbQnYU/OhR/5NIzFKBToijTTmmQvyBX/2S4RAC7dv06FPq+g/DW3/WkA9tmCGqmUxo8o7zQgTg7XsXTPd/N6X4E3uxAF+JEwWZFmW5PMBXndKJUGtgGAVyYnP603F8hf6xAPqTui825+hHubX5ymykQZPIN90ERLz7eDN7vwBPqRsFiR5luTzAUJGkzpIxInD156TanHchif/mkosO4H/Ed1MIVS3y6yuMCeL/eMHh8Db3bhCfQjYbMizbUmmQvi583tEdqEgdhYt1gYf6pSYPsWpyHsg8xzpHoulMUFNrX52z9Nem1QswtJDPhIGKxIc61J5oK4+3I/HG8AyHSvnl1Ow/hZTle0c95MALCZH+vdtkmyVevYC22q1zluQLMLTcAfCZMVaa41yVwQH0/uR4mnMHiDbTyIH9+Z0qSiVwBsxsca3zVKvikCe6VTasr4Ek8NanbhiCEfifIr0lxrkrkgAV0pjasEOHU0hvsXQZ6B+IUduK/NUpEAVvexpnjcAzRFYCcFUJps/xDc7MIT6EfCZkWaa00yFySqYhwN9gGAHo8pXesN4+9WSKCX22sB7H3+uoe0b8/FxMSkyOECu8qL0jtt4c0uPIF+JGxWpLnWJPtxkB0Dl/hBLs7Z227yiu1QPnjI8skxAHbPEDLuBPUkfM7J4Do2bYLvqpnP4M0uRAF+JExWpNnWpMWOpGMwpggKgsFIBAXBYCSCgmAwEkFBMBiJoCAYjERQEAxGIigIBiMRFASDkQgKgsFIBAXBYCSCgmAwEkFBMBiJoCAYjERQEAxGIihIgZOSlpomgyQc94/J/i353DyJp3PnLk2/sfKAUa3DKBMUpMAJbEmGCBOaYUV77KM0zdMrL7LnaxKe/dvJAeSweHW5SyN8ikw3sn2JuudNRTU/YWRFhTooSMFzuQhZq5uqnUipdkiTiHzInzkFoXekBMlbWmG6fiy2df2gp4BHJ52seJV/efVJl/h8RZXuyL8fIwQFKXjudmtQQiNMNeX8mLpIzw7X4VyCREgKkqe04nT92KqjSz+to5FvXRB5xP1M670i/31q7w57Kf9+jBAUpOCJ6BfmWE24n8wXnCDJfyXkRwwX5Bl//43kl+KCQLOd8O15eltfWTrephsaFKTgiehHg0kHfoPmBNlYlXPhx+Llf6DPJxSdnLJg1IiWZ3MKEuHZsqEbr0BmEZ97w2uX7hWbo3RlwyLx9PJXdmt5QQ58VKr51RzQhV613vTO+lW71tO9xSSdlFt714vtYVdrelL27D11SIWKIZnw1v4j24/IfDnUpzzfqvPf5KwOoz8oSMHDCUInkulUEIRu4F0Y7MT1jM8PT2vvz+0LOUZmC/Lrl8/ps4GcAllFfNo+oGdtF+Qo1foTrsdwg+/bVGw669rutyrGZkHze8drTzpn/TrBTUsf124l3PDpVkf7wTtPTSgyLMfsjSQx6w9cq5VGU10zX2L8+Fbx1Z3Irg6jPyhIwcMLkupcZL9OkEP8VneR7KDU79/dhNuziSLrswSJLX6G6naisoqEGrh/3frkKKWbeUFSBEEGcvN2k+2Z0NUiT7iJHZm/hhXhn+a+kewTKppRjD+c7E6eZc8WBMmAdzqGaLnpjBd6kGtVnuowIkFBCh5eEBpVuexdQRDBBW3DdjTNnU4lvQe7e3fblyXIYfKM6hTIKuKTsmWE+4dtcpTSLbwgqYIg07l5sSQgE5rpSHO+ZyPhn+b+kMwQZs4sx//cR/7Jni0IkgE//4C8PehQ5ovQqlm5q8OIBAUpeARB6KmiDROzBKFryd19h+kU8kKHZAqygfC3Fw8jOYq4xH7wXTwd+WWOUk6QuJyCvCTnM6GpJD7ne1aSy9xvyWSZUJNOkN1vpmfP5gXJhGny4fHVyO7MF75V03JXhxEJClLw3HUVXhaRodmCvHL0naDldpQ265BMQa4Qfjd/F6dAVhGXQML1jvt9maOU7uS/Af7iBXGazs37vWFKJrSdBOZ8TwhZxP0WVuQvoSadIKP9c8zeSF5lwWfucta9uyjjRWjVztzVYUSCghQ8lzoJL9oehN9d+Z0Iz9rzKLOc0qR69rsTk9Y8ypxJ09vY70r4oy/XNcgq4rKOrHw8//2WOUrpBeL56NQYwtVRovFtbdhX/2ZBqZ+WCU6JPZv5q7Z95Qiq/XairikzbZYlp21yTc0xexfZcDggA16xmtLn9e5kvHC7YtdpauNc1WFEgoIUOGuaO47ibzVOY+sUozSoBXE5yP1y4w2+8/tieM23eu7Kmknpk/4V7P0iiHNQZhGfhE52He5/U3ZRjlKtR7k3xz0hH25Ka9ezdIMxcTmgOI+37T8Iyvo13rOh+9StGQMaM0t87ND0N/6XrNlxTew8XmXAe7/4fNTIqzTjJciZb9XLMTWcPt2cVR1Gf1AQBZJwzjQDbwd3iJXodrEwygcFsaAsbjBapAQFYRUUxJKyWcwDFIRVUBDLSah71/0iRVNLmbQlhSgoiDVk3rtk5D/mboR1BgXBYCSCgmAwEkFBMBiJoCAYjERQEAxGIigIBiMRFASDkQgKgsFIBAXBYCSCgmAwEkFBMBiJoCAYjERQEAxGIigIBiMRFASDkQgKgsFIBAXBYCSCgmAwEkFBMBiJoCAYjERQEAxGIigIBiMRFASDkQgKgsFIBAXBYCSCgmAwEkFBMBiJoCAYjERQEAxGIigIBiMRFASDkQgKgsFIBAXBYCSCgmAwEkFBMBiJoCAYjERQEAxGIigIBiMRFASDkQgKgsFIBAXBYCSCgmAwEkFBMBiJoCAYjERQEDVHe/I6jDOkzoI1pbAGBVEkV/xnu0QAuHT/OhX6vILy19z2pwHYZwtqpFIaP6K804A4OVzH0j3fzet9Bd7sQhwURIm8bpRKA9sAwCuTk5/Wmwvkr3WIh9Qd0Xk34Tb6bX5xmioTZfAM9kETLT3fDt7sQhwURIkEDab0EYmTBy+9ptRjOYxP/zQUWPcDfqM/mEKpbxdZXGDPl3tGj4+BN7sQBwVRIn7e3L69TRiIjXWLhfGnKgW2b3EawgobPZ+eC2VxgU1t/vZPk14b1OzCGhREibj7cj8cbwDIdK+eXU7D+FlOV7Rz3kwAsJmC3G2bJFu1jr3Qpnqd4wY0u/AGBVEiPp7cjxJPYfAG23gQP74zpUlFrwDYDEHiu0bJN0Vgr3RKTRlf4qlBzS6kQUGUSEBXSuMqpcuDMdy/CPIMxC/swO0AlYoEsDpBUjzuAZoisJMCKE22fwhudiEOCqJEoirG0WAfAOjxmNK13jD+boUEerm9FsDeJ8mUpn17LiYmJkUOF9hVXpTeaQtvdiEOCqJIdgxc4pcM4Pa2m7xiO5QPHrJ8cgyA3TOEjDtBPQmfczK4jk2b4Ltq5jN4swtxUBAMRiIoCAYjERQEg5EICoLBSAQFwWAkgoJgMBJBQTAYiZhCkDEPzM96MGIzk94DfiGSVhVsAQbQH3hYLysWUwhS/4L52Qbn2bCZSc48oRaQFJJidjaVFGCA8HwDNuyF+uZnxYKCGMdmBgUxgkVBzM+iILmDggCDghjHZgYFMYJFQczPoiC5g4IAg4IYx2YGBTGCRUHMz6IguYOCAKOYILfKlRGLraNokYWxpexE31QcXr/K2cYOjmIRL7E0tsxfphbkTK091p8vWpu7BSZI0xHmboEJUvOwyQV5T2P9adPJ3C0wQZpNNHcLTJC6KAiLoCDWEqsU5Nwvnjvl5kglJORi6PmzF41ogckEMWRRjV+s3GEviPlXpMUJ4t2QVOl/WqPZ2dO26SwxaE1HEiA3JzM7mzqW7fCnZhXRZT0/r6UwKfIGUJQQRPFFzVos3/6tG+0wvoFGCaL40nE5Nc1Do/nlI7uKPY/pZhi/Ii1OEM2vZKRu4qPf8xatKbcnY2pPvg8l/xxdQqu4r59SoqkmsKbn+PHjO30ays9sPZybHp+vfgOiyDeIwouatViTums0o53OGN0+475BlF46jWZu3ZnnNIdKus3oSFro5hi/Ii1PkB1kvG6i2fG8RXu7nsicyvcp5p+jy55vuR+Dy2vW+vK/NRK+QDRfHjWqiRqFBFF4UTMX62KFDRrNiSJzjG6fcYIovXSaifUOcj9/GcL96EB0dRq/Iq1KEM3F0IwJ+Od6hv+PdERXzW9buNfVrXUznUOMaqKGvSAFWdTMxVpT5AL3s2Yvo9vHTJACLV3gG9v5l63894U/CRbmGb8iLVqQZV9X2NvY9qPtR5qWeC9Io1nRruwubv7ePp/U+5r/FH/v9rZ9m5M555z36tH9k3W6t3duFJpVZbvTwmvoJ9szqvauXvKDn41ppdKCKLKoGYvlb8f/0qiN0e1TTBBFlu79r7LrHl/mnK5qo1ekRQuytzvpHBT8djWXTbuq1dJojgwn3Oc6o9ExzbFO/KfYeL9mXXGvHHMuNuH2en1LHRTe3qVJhiDfN37r47nC1AKXjL/ReEigf4Xiu4xopdKCKLKoGYvl6cT/0rKR0e1TTBAlli6YTBxWs85EYTr0fT9d1cavSIsWRDOT7OP+tyBcj24i4f6H+Yn7XE8WC9RkfA/v5SZatcsxZyHZrdH8SfxzV3j8Yuho8gM3cfadzN7cIe7fRjLciFYqvoulxKJmLJa7A/9L27ZGt0+5XSwFlu570mjZls5kJj89tnPGTONXpAUL8sVFzRxySqOZy3fIFpA/NZoA7nMNIPwRPuFzPT+ne886jXLMGUraufR0a7UkX50XbPmv5xHdcs2s0t2IVioriIKLyi2Wb1H+v9mm3xjdPoUEUWbpxpNN3Iqs7MxNrvso1xE6o1ak5QnyJxmkm2is0X2u8/jP9cfMz/V7oXsWzH2KJ98dcErTvVGOOUNI/u6gbk6F3twnb7c3V0ntKUa0UhFBFF5UXWpPWUT4/1gbTDC6fcYJovDSzRKWqjVX2YHGuY9dGbUiLU+QUPt6wsjoug56P9fNhNtZ5X4N0PjxX9ZfNcoxZzaZna+6b7gaNEeLbtZonL/OmHXekz/Kc/ytw0a0UhFBFF7UzMU6VnyRRnOu5H6j22ecIAov3TZhjPezIZoTzf7ImKXEirQ8QTTfktbrDmz3rcz34wj3f8VM/r+OHwnXf1hCtmkuNrL78czS9mQJ97lOPuRZ85Mcc0Kq2y0MCZlyQKimezOhPze57WnNuY6T+f1e3VGRoHc9vx8eqjnVeZUxjVTmVBNlFzVrsTp/elEzTYEGGnmqibJLp2nVKVSzreKxkE+68YODsxVakRYoSOjMD8oVf6cd97FOfZ90CPKrT9qt4T7XL1fOakha/KQ51NHJbvhe0nDWmea2Tfe1dRyfPUdzvNtbFb78UVfN158Jn+ve1nVbdOPUuPhODd3n7F7qxKnmNZ177TOqkcoIouyiZi1WSO8verudN755Rgqi7NJpzvRo59Z9v6an7pSh+gqtSAsURG8uGn0K3jndFhPaYLzRjdEwPVnR+EVVKixOVlRs6RRakdYiiGIJaKjIGsLT3c0dhVYkCpInc4zvu/JBQcwdhVakGQTZYWPAtcKWmqLFzd0CE6ShrblbYILYbDe1IGcaHhPL7kOiRRbGtvlQrOToDnj9x1TBHhUrqdNZrOTQbnj9Kmc/O2NyQT4WLYqG341G5WyvOmIl2kh4/VQVrOid4Ov0FCtJiYbXr3L2YxSEBYuCgKNyFgVhwqIg4KicRUGYsCgIOCpnURAmLAoCjspZFIQJi4KAo3IWBWHCoiDgqJxFQZiwKAg4KmdRECYsCgKOylkUhAmLgoCjchYFYcKiIOConEVBmLAoCDgqZ1EQJiwKAo7KWRSECYuCgKNyFgVhwqIg4KicRUGYsCgIOCpnURAmLAoCjspZFIQJi4KAo3IWBWHCoiDgqJxFQZiwKAg4KmdRECYsCgKOylkUhAmLgoCjchYFYcKiIOAwYuNO7byjRL0oCBMWBQGHDavp7zNl+NQE4+tFQZiwKAg4TNjn/S+nRKctWmx8vSgIExYFAYcJu3chzyb0AH6FoCCmZlEQcJiwGzYKrFuU0fWiIExYFAQcJuzBmTwb3SvZ6HpRECYsCgIOEzZh+M6k6KcT1xtfLwrChEVBwGHD/je+79Cea9OMrxcFYcKiIOAwYrX3T8cpUS8KwoRFQcBROYuCMGFREHBUzqIgTFgUBByVsygIExYFAUflLArChEVBwFE5i4IwYVEQcFTOoiBMWBQEHJWzKAgTFgUBR+UsCsKERUHAUTmLgjBhURBwVM6iIExYFAQclbMoCBMWBQFHBWzcqR3XxJYSBWHCoiDgmJ8N7e87a7hPvP5CFIQJaz2C3NseIVZkJYLEuPLXry+dp78UBWHCWosgD9u9/f7b7R/qL7QSQfYu4tkkkevXURAmrLUI0rrri8jnXb/UX2glgkhfv46CMGGtRJBjdRK5PkjCuyf0llqJIIenS12/joIwYa1EkJWthE56q5V6S61EkMRRO/jr1zfrL0VBmLBWIsiuDwRBGuzWW2olgtD/Jkhcv46CMGGtRJDE+j6cIN719e99WIsgVPtI80qsDAVhwlqJIPTc+w07Nnz/vP5CqxEER9JRkIKyCRt81ieKlKEgOYOCGMJajSCFYSQdBUFBjGFREFBQEENYFAQclbMoCBMWBQFH5SwKwoRFQcBhyabvEzmNDF4vCsKERUHAYckeJl2NrRcFYcKiIOCwZLcRZ2PrRUGYsCgIOChInqAg8KiC1dLEZoP0laAgOYOCGMJalyDhxFFfCQqSMyiIISwKAg4KkicoCDyqYFEQUFAQQ1gUBBwUJE9QEHhUwaIgoKAghrAoCDiFU5DkNG2ayEPcURB4VMFaniDp3y5QqyDxI8o7DYij1IEQ8iGlV/xnu0TkQVAQeFTBWp4gEXx71SnINr84TZWJlA6KiYl5Tl83SqWBbfIgKAg8ZmYPbaAWKcgdYq9WQQ5ym4xvF0o9hN+CBlP6iOR5njsKAo+Z2QrkfiESZL/eO8cx6IP0XEhpizZlG1+ift7cBmETppudOn2SkH6148Ty+KVokYWx3VqIlcRGwuuPMzPrSK5wbGzcVeKgr7ihp9gbXz6Gt4UB+zcppWPXk2bgeveSzvqK6gzWbbYzUpUS5G7bJEp/THvdt7rW3Zf73fGGbn5KpiDvirZT3Ru9IazJBYm98NuFWKXrLSyCxJzc/rcYmynIbLk9C6gg8V0zvqnukmc+ntxriae5AdzFggfMRo0d5TNinP67yxa83tIkrDDsYl0b7DXZbWaQflbpXawUj3vcT77bEf0ODejKTVZKz02gIPBA2bSxm7WR2k3j0uVRQ+otHII8dzubEp00d5BJBEn79lxMTEyK3ytKl+yjURXjaLBPHgQFgQfK/jOaZ7Wjbipbb+EQZN9Cnk1obBJBPAmfc+dcxs05yf26Y+ASv7zjhSgIPFD2jL/AzjirbL2FQ5CMxx84m2YXSz4oCDxQNnxoGsemDQ1Xtt7CIcjBmTz7/HMUxISsiQXRTlmdGpm6aqro1bEFq7dwCJIw9GBydLyfOwpiQtbUR7Gezug/op//c4XrLRyC0HCvwSNcl29BQUzImn4kPeZYjOL1FgZBXtdoT7X3T8eJsSgIE9Y6TjUpDILIsSgIExYFAQcFyRMUBB4UpEAsCqJ6FgUBBwXJExQEHhSkQCwKonoWBQEHBckTFAQeFKRALAqiehYFAQcFyRMUBB4UpEAsCqJ61moEid46Z0uMJQoS/uuC3QkoiFpZaxEkuE/Ahp/67LY8QXa5rgua47YaBVEpq4ggKaFbr0OvEWQkSJfL3C7WpS4WJ4idaxTHbndBQVTKKiHI/ZFjp3iNeQDFmQgyTOiDDLU4QWxX8myayDUeuVkUxDIFSfPYxW3IO73SgDwTQTwEQTwsT5D1AtscBVEpq4Ag17/VXWd+A8gzEaRzLCfIy04WJ0jJsWkc+28zFESlrAKCMLrO3BC2NJntfftBmPd0UkJfsYoFsfed/1/kpaHTUBCVsgoIEjaMv848ZfAdIK+0IDvucYLc+K5y5fcmtSQ2ee9Nw8fUgiSuH9HTOxQAcht93Iq+X7kf30ZaAFgUxCIF0U5bmhiZuGi6wteZg9ml1SNKk+/f6nTr/Nv/Iw4NxuYnTCyI1s//VvhJN8AGm7XR+5DycncMRUHMwipxFOvlnG+G9JobC8XhgtxaMm7Jv/LYkkoOpGyf9LvtOnYkjtF6DDGxICFjUjn27/5yR75bHec3+rVDo2mQIyn3VaI0jYKYhVVmoJDFdeaUHu238+COfsflwSVFyHvpye06JI7hOumRdafkLTexIJt0R6b6PZHhTjr9TOyXVv0nelP5uaSFSwdpQ1AQs7AqHkmPc73DseGu8bJkrA3pRS8WvUCH8UexVju8ylNuYkG2rhHGNnq9lANPliElqoalBJS/xG30yV3av5aCURCzsCoW5KKvwPrI9nZjmxQnJfbRVW9u7coJsqH85byAiQW5M+AZx+77Tp7cQoqE0f1lQ4SN/nW7byRrRUFQkFwJmSawU8/LcLFNBpYmA21/2Dm6xBziuL5CPj9MfhRr88Dfdi11/U8enEaK/E7Pld0lbPTPGnpJsSiIWVgVCxLT+zHHRvV+KsMN7pNWmoRNrjp17aqypGSFK/kJk4+DXP1pxibZHSz+6AIp6fR7ytHym7iNPqqeviPU2UFBzMKqWBC6deSZy2dGbJPDnqUL14PERGrpQlLkoh5CpQOFqyv/Sez/cDoSfbm8J2n6wSRpGgUxC6tmQbSnfPr5nIKQ2RdMldJXrFJBhtzgN/oD06LpGQfiMFJmHClLkM2kob5yFIQJq2ZB4KzFX1H4Paks7ceFdJ59fSmaJn9Kiuk7boGCMGFREHDMesmt8/DbxP5Vy2+jE9t9Rho4ncxPoCBMWBQEHEPZl4MPyGFwQV45f01KNRmY9KBdl83EObjcuXwECsKERUHAMYANX+u/K2En+VKOM+CmDa8ak6ID0+NadUnm2Z35DUFBmLAoCDhwdtfgLVuWDlpFWsqBhtzV5DwpkkwXl43VsWP/l7ccBWHCql+QxMYDZTF1CXLXTRhJd1FUkNiPSdE+qa86tE/k2Y3lL+UFUBAmrPoFEdnoc0VdgmxflXGduYKCxDbpTko593n9sGu7TcRZz+k0KAgbFgUBB8xuzLzOHCSI9pHmlbwgHb4JI/YvPvWOTu72Aamn53QaFIQNi4KAA78eZGw6f515C5Ag/03oO7Tnz1vlBDmeysv0MiSaJjUkxfSdnoaCMGFREHAMuKJwwf07l4Z+DxJk1I6k6KcTvQy4Jj0IR9JNyKIg4BhyTfrgjhNCf4MIUnIGX290E5AgunrxXCxTsigIOEBWO3GFjgUJYrtRYJ1Bgkyff0/4ZtLLoiBMWBQEHCB7j5Q1RJCFPJvQGCJISS/hHloiN5lDQZiwKAg4QPY2cTBAkFKul1Oi0xb1hwgifRdGFIQJq15B+n6cWAgEsQ/t5ztruM9GkCC6+/iK9FdQECasegXRbfRWLwiNO7Xjuhb0fBA7YYT+D5E7waMgTFgzCXJAI4sVFkEMeMLULrd1QXMHijxLBAVhwppHkEibt2UxFCQ/G77WP1jsaVQoCBPWPIKEkdKyGApiGIuCMGFREHBQkDxBQeBBQbKCglC1b/SGsGoW5N9T3j28T6EgMBYFYcKqWZAlI89ePjNiGQoCYlEQJqyaBenI31kxWuSxarlS1SYSBUFBWLBqFkR49iEdDRBEw98/BAWBBQUxhDWtIAcDqQGCjBTYEQBBdG1AQUBBQQxhTStIhf+zdx7wTRttHD5oGWWEll1GKaNAWzo+yt5QVil7hixIICEBEmYgzEDZUDZlhxlGWWE1DVD2hrA3IYSZPZ3tONYnyRm2Y1mvHcuW7ff5/cDG9/f5LOnBOt1JIm91EKQXe3+QXigIKIuCCJI1riC5h25hguxyYO4w5Y+CgLIoiCBZMQvyMnTjpI1hkMO8ijaYnyDhRSqjIOLOiloQ8EChog3mJwi1/xwKIu4sCgJGCEFy60VBxJq1LEHCSHlNJSiIMiiILlmjC3JnvtuCe0IJIvf+S1MJCqIMCqJL1tiCbHY+dTlo2FaBBOHAIgSJ+fQrFMTyBen5js6+7YmCqNYLEIS6E4qCWL4gHmzWHQVRrRciCE8WBREki4KA0UGQ9JuHX9OCtAbXCxQk4+bhUBTEqFljC9KD3cXqYbGCJDGCPHT2mOY4bwgpw3eL97x6j5BOgOQj53HTnObtQUGMmDW2IBuHB9Gd9M1AQaQPpGYmyA/rX5Eyjv0GP0tt/zmp1fAj4C1Jz2RUkscZ/mC801VpdMbi4SiIEbPGP8w712ku8DDvgzV9h/Rde5+UBLZBDIK8+Xoy+ezn6r2GNqjemHSY0YDXkMjZ/YYO3M9zj3QFJ7VephQFESQr0oHCU5F0dtIfO8OT5n9Hii6GtUEMglBvapBPym1MHV3f9Tu6kz6r/gft8YzRO1KjP4w7Aql6l9YLXaMggmRFKsj8byPKkT6/9QuX9qlMytSbA2qDKAShzpMibSi/L94/qcAcxXJupT3933Sm3g9DICszaB6TjW9NumsqRUEEyYpUEMr367Kkuq3s7YBfRxOb9/XmQtogCkGyB5AitYNefz1jdn1akCdVt2iP71b8KjhGAqpOHRGUGZ08e9OaB5pKURBBsmJilEz6AAAgAElEQVQVhPItSmrLZANaS5zoTvrrr5YB2iAGQbKH/0xKft7a2bFcp2akQ3DFfTz5gNVMvRkDUiAtCBnn7Ga3jmNdoiCCZEUrSFpR0vvM9aL3Tw1hjmLtKMm/BYlCEM/GwaRMr8pLL4d82ZA0qbKDLx9t/1waLd84D9YE+dvLEq4yFESQrFgFSetSjFQbNGtwmb7/0YKcKH8J0AYxCLIy7hUpe/n3wSvHuVQixTfwv+GK7YKV48YlFr4NKIggWZEKktbFthzxrHtg66Qq/xKbkxA/xCGIYiQ9JnDnjex1hHPZKsNmDdAGFESQrPEFef/fB35B3H/PoLNTm4RTmyqRUuUvgtogHkF0notlgDagIIJkjS3IrelOno4zb/MJ8k7KyhRK1zuFFDkJawMKAgIF0SVr9MmKm7PCszaO1mkuVilgG1AQECiILlljCzJYRmdlgwAbvXlOVkRBWMS90euSNaIgVxPpjd4r6xSdbUyK7OGLoyC6ZVEQQbJGFMTnl/hyxNa2a3i2a3lStprGs8eVQEF0y6IggmSNKIh83I82pMbP6R9G1rEn5Z5VW6c9joLolkVBBMkasw8iH/cJaeU56pfy7lfpTvr9Ktu0pmlBovcv3B+DguQTsmNZQCpHGQoiSNaonfT0ouRy9t4ix+XsOMiO4lqnj5QjR2zX71pnexQFySXAzm/PQieOU0xQEEGyxhQk4/dPSYMYamatMEaQ8+UDtabLkT536Xrv9EFBcgizi6Czh7w1l6IggmSNKEjG77+XI8N+jAlfUus8KXeBxw9akJFsvSNQkBwObmCyskGaJ26hIIJkjSjIuPYp5ciLUW3CqSXVSOny//DEyxFPtl5PFCSH3Tu1nTuCggiSNaIgT1OZjrf8Lp0dRYrs54uXI72S6HoTIfcoVLTB0gW5Ol5GZ18OlWksRUEEyZpqNi9kJH2B96v3Id7zUJAc5NOXvgu/M+K05lIURJCsSKe7s9lnB5y7Oh98joLkIllv95v7eY5CFESQrJgFwYFCXbJWIEjERu/F1wSoFwVBQZQwW0FCbLefPuGmfXjZ4G1AQcCgIGoYW5Cx5+ls4rCXhq5XaxYFAYOCqGFkQWJt5Ux2M+/xT4O2AQUBg4KoYWRBouzZ7Pa9Bq5XexYFAYOCqGFkQeTD7tDZdLc7Bq5XexYFAYOCqGHsPsgtu8D7t6fCLtRssDagIGCA2Y9FqqAgwhzmfTJn2IQjmucRCNYGAwpy4jpvzBoEofaftwRBkt0qlXeUUNS9uQt6h+U9qIADhXDo7AfyJW/MKgTJzZq3IAdmS4KrTaHSmmVRfp1zH1RBQeCAN/oXl3zsp12GZDtWS0ZBdMgaWJAgepOZ3ofa40zvNBJJzoNqBAWBAxZkzajL1y65rgNks6UUCqJDVoA+yMDl1Gxvekso+jLnQbUYBQFX7z/bPwYmyO+R9EYf8Tsgy4KCgLOGF+R1lwzKYzr9xOZJzoPi9UwvN5bedRO5iIjnLDKzbN+OXCUJ4dDazw9Zv/evIXuIDW/ShoxMTKTrdQFkWejsXVIWmE3gKvllPFdJfASsbn2y20kbQerloP4gxWY7LtNAgiT3jaAoHy/6WYnYnAdFgWzVYhaP+slcRCZxFplZtl9rrhJJOLDyqKF3ksOTb/UiNrxRG+KSTGeTnQFZFjr7gJQFZiVcJT+P5ipJioTVrU92J2krSL0c1B+r2GzX8x0HBQoi9XxD/72+L0VJqmbnPKgmcBcLRvCUnHPHQbtYoXQ2xCp2sc6Q/oLUy4GBd7FkY67HxMRII6pIqCM+VM6DKigIjKu+7IY8BiTIDvvDQYfsd1mDIPJzsYLUy0GhBDlb4BUvwnCdOjRs1Wx6py3nQQUUBESHqoMlinPHQWMbz5Z7LH8B6dCzhDNTN6BZkQli5Ky+giRFRES84VxA2kBBQNiQJd4hIS8mL9Vh8E8XQTI7uQOzKAgIFUHufM/+UhDwPa6UQEFA2JAX/3h09/j3uUCCgEFBYKgI8r8Ga48E0KAgHBhCkBDwRv85eYWCCJTVT5CSIfAPVwcFAaGLID4DslAQgbL6CdLtLvsAugmkOigICF0EYUFBBMnqJ0i0y+uEhITIIfAm5IOCgEBBxJHVT5CnDRSddHgT8kFBQKAg4sjqJ0jrb1YeOHjQvzm8CfmgICBoQeTPjj2XoyCmzeonSCnFDF0/eBPyQUFA2JBr413Hj5xwHQUxaVY/QbrcZx/uwpuQDwoCwoaM8JeHy3eNREFMmtVPkDDnd8nJybF28Cbkg4KAsCFD5fSGLB+sw0b/llQGZ8GgIDBUBKlOsJOuNWsIQcbl3OhGh18Fv1PwLBQUBIaKDI5u/vv27dvRFN6EfFAQEDZkSDa9IcsGCbLbpEsWBQGhIsg/YezDFngT8kFBQNgQ181Z4VkbR6EgJs3qOZs3fOc/FMVx41weLEaQBP856x5ylBlCkFvTnTwdZ942vCDvts7c+g6cRkFgqAhyxYY5rWtTALwJSu+1EEHe2K0N2O/EcU1swwwUvjnxRoAjU1dsdx7eYct/ObrcelEQECqCtN0UMYWiMgbBm5CPpQgyLpDOxjqEaSw0zUg6iGS7p3T2iWMqMI+CwFARxI2iPCgqvTq8CflYiCDxg7OZ7MYDGktFLMjtqWzWOxiYR0FgqAjiTlHDKSqgHrwJ+ViIIFEObHbHHo2lIhbkmi+bnX0NmEdBYKgIsnTuq8EJe8u4wZuQj4UIku3wmM5KR9/QWCpiQSKGxNHZ2CFRwDwKAkNFEGlXZpiwYSK8CflYiCDUJadLIc/mzNG8+YhYEGq71/3n9z13QuMoCAzVw7yZR2fO2JsBb4ESliIIdWvyQLdd6ZrLxCxIduDYfmMDwWdLoyAwVAVpyf79YuKU0/BW5GAxghjnfJBnpCTsDThQKEhWT0FqXH0pp1Irf9apljvn8uMABeHnnwhGkIw94ZSsJym6BNQYYQS5M99tHtekbRREGRVBQooR4pz9gByjsudAbx+bCwrCz/yG4Tbk8W/9w6X9W5Gy9eZCGiOIICeHn7r87/BAzYUoiDKqZxROvPfc++97JIneox0LbweLQQTJPL1sH3ymi9kJQi2uVYY0sZO97d/5ISn3vi7EECEESRz6jt7FejdU89EYFEQZFUGYJSP3uUfS6Mdp8HawGEKQaNdFWzc7noF+pPkJQi0pSvrIZAPaJDOd9NCv/uR/hxCC3JzB9kGm39RYioIooyLILPpPYstz5DXFDqnrhCEEmX6YzoY7fADGzVAQSVFymrpS9L7iKJbfZym87xBCkBsKQWagIPyoCLLb2f+vHwfXrOSZRQXqOiHLAIIkDZIx2XVHgB9pfoIktSpGqr2illV9xAhytMJl/rcIIUj8EHYXa0iCxlIURBnVo1grviSto48e8iz7daXH8HawGECQCEc2u9Mf+JFmJ0hSy2E2ZFrNkPAtVU+ScgEVICtJkE768eFBdCf9hOZCFEQZtdNr5Uz3g8rcu1Xnk0IMIIjM9g2dlU+Ctt3sBBlmm2VDQhb+EE5trUhKVbgKaYxAh3nnOs3Bw7wQNJ1/vgLehHwM0QcJGv0iMmbdNOhosNkJEpPFDhRG0FlfUuQ8qDE4UChIVj9BkpbZdv711w5fwJuQj0EO85516zZoQzI0bXaCUMpTTcrA3oCCCJLVT5ABJfv9NMr+u8HwJuRjoIHC93x3HdWzXvEJguekmzKrnyA2V5mju0vgJzYrgSPpIFAQcWT1E6QeRbmlUBHd4U3IxwwEaV+df9hBe70oCBiRZ/UTxPUDtXdy0oZS8CbkYwaClGXu2FSoelEQMCLP6nnp0S5h0h8J6QVvQj4oCAgURBxZ/QRhzmdO3LoBtiOiBgoCAgUpiOzlRXjYpIJUYf8+7QlvQj4oCAgUpAAhHiO8hqyCrkuTCSK9/zG1cjpNyq7S8Cbkg4KAsBpBMt8Dg6kuQdJoyextwLjJBEmvQnJpBW9CPigICCsRRPLXoG7u56lkwKSIwIVMvfGDgJdCMN0u1sU9B7/ZzRAggTchHxMJkhzLn8ugUJCCWSEFkU1dHxv5wmN9sVH82Z3+bL1OEbCqTdoHOQb/7AKYSJDvy2ies63ExFIPUZCCWSEFueQtp7NhbUgH/uzxpUy9kgEcF5LRuw3as4WarPgv+NoxSphIEMBG34H8jYIUzAopyO5dbLYtRJB4hyvS6IyFq4FVm1aQ9EeXL1/+r52uVzRhELUgqQHLdrxCQVSyQgpyaD2TzWoBEYR66DxumuM84A+IaQU5W0nRS7e0X5ANTov2bLU7hoIoZ4UU5J1DBJ092B8kCJV+N/ANsGITC9LolxMPH9FY2i9IT+Zc9wi70iiIUlbQo1hBdms2z3TdChPEfEbSSzyHf7g6YhakBXuu+/rPUBClrLDjIB/2LTuT+belCdIqlH0IhTchHzEL0k5xrntJFEQpK6AgEUmKrMUJ8naKjHkYAW9CPsYVJOE6pYMgbULorGxcKRREKSucIAllvrdQQf5n83mtWrWqFoE3IR/jCjKEXNRBkFkj74a/W+qDnXTlrHCCvCJlLVSQvh0nT506dVxNeBPyMa4guoxt0Nmz7r/ZrU9GQZSzKAgIFUG2Ki6GNQPehHxELYh4Bgo7VE9GQfSs15BZPQcKs0/MWfMA3gBlUBAQ2UzdKIhe9Royq58gKR0IIUV89BkGQUFAVStAQfSq15BZ/QSZ8s3uD5kvxxyANyEfUQsiu7b+eBwKopJFQUCoCNIukvlbbnF9kG2eM1avcLiCgihnURAQKoLk3PLAHd6EfMQsyCB/OvvGoYwZCvLmBHyaEgoCz+oniCe70F7/Am9CPmIWpIWUya4Ww1QTFrAgMdOdPB1nxulQL7wNKAgIFUE2O914f3fFl+PhTcjHgIK0q8F7XRXdBGlHUe8yqF26TDWRapx+bThBIj+tzZ/LnrIlKzxrM/ioCQoCzuoniHxiEUJId1Nf9qcM4Z0NppsgLXc69O67ZLwuU02alE/SUGI4QagHYfy5F+5yOit3falDveA2oCAg1M4ofLl7wzW9jvKKWpC+P52NfmvfWJdOuuasAQWBcGUum50DupGIDvWyWRQERJ4gWXkLTK8fEFEL0srPvnfvJWN1+QURhSDPR+EviEBZ3QX5s8LInLtKOT2CNyEfMQtC90Gep1I7S5ibINmT/eXh8l3e2AcxeFZ3QX7Lu6TJhQnwJuQjZkFaZDHZhUUI7LItohGEipjsOn6kd5TB66UEFyRky9yAVIsSpG7enWuSfoA3IR+RCrLWS96BDFz5vxDp9bLFyec3oG0QhyCU3EzHQQKc9+1bPXyjJQnSJO8leTV4E/IpvCCxVynDC5LUwrk9mVeq7QTXMk5lyboKEENEJIiZjqSXdoqjsyd7W5Ig+XfNeW+iexT2I2cF2MVKalGVfN71955lvg2ms4cqajfkw8lsFKTwgny2kcnKYJf9MRNB2mblPjtqomvzticHhOiDJJUhzVZJGky8x0412VXptbZwbxKIghRekJI74ReOg9dryKzugvhuyXmS2cgN3oR8RCvIk+KkUqq09cCslcxUkz/qau3ydiT7UZDCC1JqfDadfdHOkgR5X+Ea+5js/OkzeBPyEasgT76sT2yGZ3/o0WNbSfLK+7tIrWkUxDCd9NnL3obeGTGHNAW9wSwEoVaSYf63Ti6sRbzhLVDCRIKUZM7x1kJYraUdSNMfPaKSf29Yirjy+IGCUIUW5BkjSMLI2lWb7GhDij+FtMU8BJGvKMZcdrToRBm8BUoYUZDnoawgpyKk1IYixF7rMNre1XTWc/yAVxn+XxYjNd7ytAEFKbQgzabQgsz41i705td1SMMqkDO4zUMQiopcNdp1qfb/kLkxoiB/V3tGC7Kgdph0VY3S5CdnnksJdyD7Ng8cMXTys0+YawVpBwUptCDxv9iSUl/1Tf04oGVr0mF7lYf8bzEXQQqFMXextlVpSnp/Fxm9okZIWXKvuYt2Q5hfm5Tgj3LIqDsKUvg+SHwjUvQXaVqvTqnM/UEghqAgoBp06INsK05qRFLLqz5hNuTYn8dq3cvSZVoKCmKATvo1UmQdteaLRMU4iOdPvG9AQUA16NJJr0B8qcTiOxQb8oMiN7VlURCNWcEESWtDitaPjfll2HFmJP1M+X9534GCgGrQQZAppUm5h9Te8heYDfl1rWVawyiIxqxQgqR16UrK1K3vt71urb9Ih6MVLvO/BQUB1QAXZMq3rYhHlYfRx8pfLEsu1FqqPY2CaMwKJUj/Hk9J2Yi6fefu79icNKoA2RBREFANYEF21n5Db/R/VXstPVKhFKnO4wcKojkrlCBHM5jp7lGno6nkhqTYWUhbUBBQDWBBPkSyG/3dSCm1twjx4KsXBdGYNcIJU7vIz6A3oCCgGvQaSQdcygcF0ZjFMwpBiEuQJ76DPANkMEGOt6/109RMA1+blxaEacMRGQqiARSkEBhCkEV2gfdvT1kMEmT013+c2tPiN4MLspBpw9TFKIgGUJBCYAhB2t+hs5kepSCCVNlDZ5O/B1wMTjdB8tqAghQABSkEhhCkLZvdVhIiSCU2O6KYoQVpzWa3axYPBYGAgmjCEIK0zn6w65xkI0iQitlMvQ7FDS1ISzmT3aS584+CQEBBNGEIQToPHL/wj8G/fQYR5KuVdL3v6hr8KFb3c3Q2cVhpFKQgKEghMIQgvZpuO31iUOMizBatnQ5k1ldOMyZ/62LwTvoqW7oNbttQEA3oIIj87WUJCqJMIQVZ7ihrT5qfrzRu5WGbYuTz/3jiHci+eXW+rPn7O0MKkp7JHOaN2Thl5Z1HRcgWDQkUBAItyNtJQ0cM3LIPBcmnkIKkdR7QjjSuuD/6WQ37kmRHeZ4pCh2Ih29idMZJN8BNccCCrOiQQgtyvkKI9FbFz0j5PQUTKAiEV6SMa2BmdMKsMShIPoXdxUrrXIl8upm6WX3VTLoPcorHkA6kRQJT7x+G7INkD2vZlkwpfzH6asW/y5KjlXYXSKAgEF6Rz+Yz2XiLui5WYSl0HyStLOk+IeSrmdvHMgOFR8ppvaQ5e0Fqul7ITXHgfZDsYeVImYtUUMUDTPZOQUNQEAivSEl/NmtRl/0pLIUW5HYx0mx3/+pVZkYxgkz4IV5buANpnsbUuwzwC2JHrkA76dlfEJ+w+SW7n5Yz2UvF1a84gIJAoH9B/gyaNXr5s+YoSD6FFeR2xe/ID/1Tg/t1TqP7Fa5NE7SmO5Bhq2TR0jtOgD5IylMKKsiJYqTWgAP9v3FbR2ezBnZKUytHQSDQfZBmdheu7vtfPxQkn0IK8rTq5vZkVxv7yNR+XcoQ2yba/aAF2f2H2wyfEY8Lf9coJU6U/x+p1igpekr9oaXJ0996ZqoHUBAIr0jp/k4+M1xdO6Mg+RRSkMO7mNm8yR6vpRk9PiXf8N0Sg+lXhB6+mQEZ28hrA1/2avl/OpJWQ9p/lE6tUZK0L+gHCgKqmu6DbEu/efi1vBUKko/hzgfJ+IRovQgDgy6Dfwwgmc6fZeZiSf98I5W3L0qapxZMoCBUxjLey/gwgjBZeWsUJB+xXpuXIW2e0zQvF8juWEfS6Rpdb6pLMaLpRnQoCBVAunMV50LvYo1IpbNXfkVB8hGzICuXZkRLr0A69B3JUtsDV897rcbzQTTAbHD7SUe+qt+QL1aOu3D1b9s/rUkQdnlmyuSygnvmLMYVpBtzu0GoIKkDFYeEG1XnvYFvR7I/bOlwH8Vh3oKgIBBB5HP95EE+w5e9saK5WHHLajM32ClLCPmJou7NXdA7TC1hXEEerMmACxLhxGZ37+JvA56TbgBB8rLWI0hYr6OEEWR4TExMPJXWLIvy66wWMa4gefVCBMkYqJiWEsRfpREEyf5nbH/vs9A7O4tIkPSdroN876MgmnnPCuLJPt/jTFEfiUQ1IGJBqK2+ydGZgSM0HJZSxwiC7Pa6d//O2L3QuGgEkc+d++ThRaf5KIhGFIK06/xF8zvUbG96cRVVmyslZkEy19q5DR8POR4svCBRQx9tnLTxoW0MMC8WQWIvjM2iN7iH7VEQjSgE+VOWNvRrucd0+qnNE0VBhuMglo5147mIiOMsUqY12a7IliZ3QW9gsmXIHUj03YUnoEa0JX7a6u3TmeuNceGQ6mlO2Q3eGLB9iN1pYB5ar85ZzuXRdLKGF8NKV/srPi4iPr45aQuqn8luI23AWSgGytb/XbHZOmUYVBCa1yTOx4t+LBGr+Hf2zk0sUxqmchEp4SxSpi3ZrciWIY9Bb1BkH4GzANqRndrq7dec640p4aD6U1NPffs4NTz1YcOzwDy0Xp2zKVwlP47S8OIjUnJdqiQyVdKMtAPVT2dTj5LfwVkoBso28FFstvt47r6kmyBMtyP6K2p9X/ppVbWaTbSLVa9EHDgLQPhdrIvfv6B3hR5/B/2JF8ku1itSelg8vctysocOu1jZe8LAWShi3cV6SzIpanYKRa06SUVUkVBHfNQCJhIkEnjLOB0Eib74UiacINeG2+48vMN2OO9smhxEI0hZf6c1qxfardNBECgWIMgxFzLhAnW994SFzG3+Dg1bNVt9vNBEgkABC7Jnpa3XiNGvBBMkeuhDtpMO++ETkyAhg1u0aLF4DwqiHwYS5H2miQUZpTgkrHlaiiEO8+5nD/MehMZFI0gZlyBptGSWBwqiHwYR5OyoboM2JJtUEMW57vOEu3Cc/KL3AG/AbZdyEI0gny3MOc8cBdELQwgyY/TLyJh100wqiOJc99146VFV8s4zb4uC6IdBLj36ls7KJwGurKhLvbpkO5LmEia7GC89qgr9C7KU2eAkzVEQ/TDI1d3Z7A7AtXl1qVeXbEcybFFGtPSSoz59kCynObDGmKUgZRyuSKPTFwxHQfTDEIK0lDHZdSYVZLe2k6u0CxJCPoc1xiwFKfvQedw0x/m7URD9KLwg/YjdYTob7lDalILsp8IC73KdnqtdkJekHKwx5ikIlX438I1O092hoCCgGiL+jXadvXm13RkTdtKHFbmm/0i6pQui8/kgUFAQaCWZp5bt+2jKcRBpGIWCoCBKiEsQk4+k52VREFVQkMKCgqAgyqAgalixIP4LUZACoCBqWLEgFcgbFEQdFEQNAwri0JLvNC/96tUla0NeayjRLIgNCUFB1EFB1DCgIGLIzh6WpaGEU5DnKyesfmHpglxZ5L0xah9pCaofBVHDwgTRDJcguxwOBR2y322xgoQzgmx18z/tZ9uGlAyD1I+CqGF0QWTX1h+HnnUktCC9QuldrJBeFivIj4uYU24HOkZnd/+cfFMDchYnCqKGsQWJ95yxeoUD9GsKLIgH2wcZZbGCRHw7inzWuHNSpHPzZqTjypoAQ1AQNYwtyFx/OvvGIdLQ9WrNcgkylhVktMUKQkXUJZ98n5Zh1zyxNd1JX1mT/xpjKIgaRhZEMlDKZFcHGLhe7VkuQX6PogWJ6GG5glBXSJGRGRvKx97uwBzFcm/CWz8KooaRBcm5IPUufwPXqz3LJciqUVfuXnFdY7mCSLuRou19Ttfrb7eQFuRWxb9560dB1DCyINLB4czZhz4XDFyv9iyXIC8v+thPu2y5h3ml/VuTMg37ThhabdA+0vFC+X/460dB1DB2H+To+NDouK0TNI1WCNcGax0oHNbuISkb9vXy6IQmv5L/QfxAQdThFOTxnGETAmTQasAbsvy4fe/eS7XeTF2verVmrVWQ7cnMQOHbI9FUZA1SbB+kfhREDS5Bgu0Dr9+Y8ie0Gl025OeA+xnoUy8KUpC8qSabyHeg+lEQNTgEkbvcpTe4dNcHwGrMcyTdigTBuVh6wiFIlB27wfntBVaDghgri4KAEFqQmKFyZoPbzH9cUAEKYqwsCgJC8F0s9/P0Bpfo9AxYDQpirCwKAkLwTvpz2+2nT7huBdaSEvwRfHtLUQkSdvAdCqIMCqIG52HeiPVj5l2D1SHbPGjE0MnvoB8pHkEuda35XY3frpIysA9AQUyeFZEgOmyc/j7x0ekHPGDnE4pEkI8yWpAW/R6FJ/SpQ4qcB30ACmLyrFkKkjEohsnO/g/4kaIQxMlOZkNq//FjOOX7CSld7jjkA8xTkPSdzj0m3UZB9MQAgkQMY7M7dwM/UhSCpHXub0OqfRsePq/6T6TcqXLHAB9gnoLMXvY29M6IuSiIfhhAkJQBaUz2zxPAjxSFILQhn5LiV/5sWi6oPt1JP2VzlP8DzFKQUuOz6Q3uOd4fRE8M0QdZvEoWLb1jHwuMi0MQKq0oqfr9/CILv6vBHMVa+1kK7weYpSAld7IbXGsURD8MIYhkqtv86Q7B0I8UiSBTipIK9RpXKVO3LS1IaE1f/g8wS0E+28hscDK8BZueGGS6u/zhoUvJ4I8UhyBTvi1LavTZNrX1z8NJuSdVINMyzVKQ0k5x9AZ3sjcKoh/Wetmf5bXf2BDXto7hMsdKpGzV5ZAPMEtBygY4bduzePhGFEQ/rFWQM+8oG9Lz9f5w6v2XpOhC0AeYpyDUy81zA1LxMK+eWJAg3OeZcI2krx116dol1zWkJOwDzFQQKuU5DhTqjaUIIj9u37cf15mKnHOxrs9xmnvTkudihRKbuCX9+jqc3IeC6AePIAfXwqoxuSDHxn+MTtnOca679c7mzRroPX5navSHcVNQEP3gEeQLApuDaGpBsoZou1qK9QpCUeemMxvch5YoiH7wCCKGe35AiHTSNt3FmgXZtZvd4HAkXU8sRBDJAPaKjWs0TxixZkGOrGU2uMzmKIh+WIgg1NzdWq75a82CRDi8pTe4nYNREP3gFET+YNc5ifkIkuA5nfuq8dYsCHXJYeXq6eO2oSD6wSVI4vjxC/+wv2Y2glCyq9z3HbFqQaiYY+uvZT8tMwNUPwqihmZBNrWdulkeLX1mX9psBNHvnPToczEWL4jYN3pdsmIRpANpkclscCtKWrQgdxcOdhm0+KTmHjIAACAASURBVC4KYjZZsQjSnrRXHDa1bEHGbMoIT1/viYKYTVY8grRkzzOf+ZlFCzIkm+6DyAahIGaTFY8g4yaGR6dsH2s+nXR9BBnHdtLxF8R8suIR5O+9A4b29Y2ybEHsGUHkdiiI2WTFI8gBSno31owGCrVmuQQZFkALctgZBTGbrJgEMa+RdK1ZLkGujR8/Y9yEqyiI2WRREEGymgVpVDo++9Hfj+U4DmI+WTEJEnr4ZoZFC5JM70Jaw0i62Dd6XbLiEcT/D6dpXi6PLVkQBhTEvLLiEWTY0sxo6WUnS55qwoCCmFdWPIK0YC8nutSSBwoZUBDzyopHkPbsBrfLkqeaMKAg5pUVjyAtEpkN7g9r+AWJK/0D7ANQEJNnxSPIKN/k6MzAkdbQSacikmAfgIKYPCseQfausXMbPj7UKgSBIoosCgLCCOMgkstv5ZQ1HMUCI4osCgLCSCPpcUXJGVA1KIixsigICCEF2ezLCPKx0ytpRMPipOJDSDUoiLGyKAgIIQUJbzC9PdnUYHp0+I9Ty5DFVR4BqkFBjJVFQUAIuosV/UMNUmkJ9fyHcXK6k+4HMQQFMVYWBQEhbB8kuhSxp9J/HilnJyuuqfGetxoUxFhZFASEsIK8LkF+pzLyBfnIWw0KYqwsCgJCUEFe16pDvhpPvWk7LJsWZEHtt/zVoCDGyqIgIIzSSY9tMbwMmQzxAwUxWhYFASGkIH5z2cO83V5J4xsXI1WeQ6pBQYyVRUFA4EChLlkUBIzIs2ITBKeaKCOKLAoCAi/aoEsWBQEj8iwKIkgWBQEj8iwKIkgWBQEj8iwKIkgWBQEj8iwKIkgWBQEj8iwKIkgWBQEj8iwKIkgWBQEj8iwKIkgWBQEj8iwKIkgWBQEj8iwKIkgWBQEj8iwKIkgWBQEj8qyYBIkKeiJDQZQRRRYFASH8heNW2HqNGB2CgighiiwKAkJwQUbOTYnO/NcZZ/MqIYosCgJCYEHcinVOZja4hdZw8WowosiiICAEFiQ7ZBi7wVnF7Q/AiCKLgoAQWBAqbSD+ghRAFFkUBITQglDrFmdESy8Nxz6IEqLIoiAgBBckfaHT+DGjnuBRLCVEkUVBQAguCEVFMuMg5Qjkoj8oiPGyKAgIIwjCbnDrpnCukAJZKChIYbIoCAhjCQJF3FkUBIzIsyiIIFkUBIzIs4YXhG8PCQWBI4osCgICKEjcstpZ9MO9uQt6h+U9qICCwBFFFgUBARMkrNdRQguS1iyL8uuc+6AKCgJHFFkUBAR0F+s9I8geZ4r6SCQ5D6oBFASOKLIoCAidBJntTW8JRV/mPKgGUBA4osiiICB0EsRjOv3M5knOg6IgvWdnliZ14riIiOUsMrNsn25cJbHh8PrjRJHl/JLNp3KVxEbA6xd5tkFHxWbbK92Qgvh40c9KxOY8KArkxw+wzPs2nYuoFM4iM8v2b8pVkhYOrz9dFNk0rpJGI7lKUqLg9Ys8++08xWYbxHd0VidB1velKEnV7JwH1QDuYsERRRZ3sUBABXlLMikqooqEOuKT+6AKCgJHFFkUBARQkGMuZMIFijo0bNXszLwHFVAQOKLIoiAgcKqJLlkUBIzIsyiIIFkUBIzIsyiIIFkUBIzIsyiIIFkUBIzIsyiIIFkUBIzIsyiIIFkUBIzIsyiIIFkUBIzIsyiIIFkUBIzIsyiIIFkUBIzIs2ISRHL5LeyKJgwoiLGyKAgIwQWRbR40Yujkd9BqUBBjZVEQEIILss03MTrjhFsasBoUxFhZFASE0IJkDEpkNri5Z4DVoCDGyqIgIIQWJHwYu8Ht9AdWg4IYK4uCgBBakNQBacwGtzQQWA0KYqwsCgJC8D7IytWyaOkdp0RgNSiIsbIoCAjBBUn7w23G1BGPodWgIMbKoiAgjDAOEnr4Zga4GhTEWFkUBASOpOuSRUHAiDyLggiSRUHAiDyLggiSRUHAiDyLggiSRUHAiDyLggiSRUHAiDyLggiSRUHAiDyLggiSRUHAiDyLggiSRUHAiDyLggiSRUHAiDyLggiSRUHAiDyLggiSRUHAiDyLggiSRUHAiDyLggiSRUHAiDyLggiSRUHAiDyLggiSRUHAiDyLggiSRUHAiDyLggiSRUHAiDyLggiSRUHAiDyLggiSRUHAiDyLggiSRUHAiDyLggiSRUHAiDyLggiSRUHAiDxrAkEaBHNx+gZnkZllO3/FVXI7CF5/sCiyt7lKvurMVXLjNLx+kWcbGF2Q53XrcFGlBmeRmWWrfMFVUrsqvP46osjW5ir5ogpXSQ3OErPL1n1ubEG00Oim6bM/3BAmm0smyQJnpQS+vydUNotkgrN53PhBmOzNRqbPcoGCFC6bCwpSiCwKYvosCqIKCgIEBSlcNhcUpBBZFMT0WRREFRQECApSuGwuKEghsiiI6bMoiCooCBBjCDLxvemzkwTK5pI9FH4veLkostngbB7vJwmUnWj6LBfGEARBzBYUBEG0gIIgiBZQEATRAgqCIFpAQRBEC2YriPwi7N7r8COfumURAwFdkSZak8ILcm/ugt5hgFz23PqVbVOg+UdOgTJANm5Z7SyKSnarVN5RwhdXZKljk5cMuQdvthUBXCSCrEiTrUnBBUlrlkX5dQYE703LjG24GJh/1D0ZUndYr6PMCPeB2ZLgalN44jnZ9y3l1I2u8GZbD9BFIsSKNN2aFFyQPc4U9ZFI+IN30ijKcx0sn93kNrDu98yiCpJS1PQ+vHE2e6NCHHV+LLzZ1gN0kQizIk21JgUXZLY3vUdY9CUom+SUBMtfqurXrd1lSPZ97hypgct542w2q23NtVPTdGq2laDDIhFgRZpqTQouiMd0+i+bJ4Bk9riBfS7D8vPL35MvrJgKyOYu1tddMnirVmRvdv66/nkdmm01gBeJICvSVGtScEF8vOi/SsTCwrtKJoPyE3tRVMYn9wDZnMWa3DeCvyls9l7PLOnEErE6Nds60GWRGH5FmmpNCi7I+r4UJakKmDoaQ/8JI3Gg/PLu9M9m6XBAVrFYpZ5vAE1hs1PXU1RmmQ/gZlsP0EUizIo01ZoUXJCIKhLqiA8g6BlJUVu8YfnXlVOpu93kgOxb5rwH2ZjrMTExUr44m904jqJCu8CbbT1AF4kwK9JUa1L4cZBDw1bNhpycc7zrtL8OQvNHXNZNiwFkj7mQCRcoL8JwnSeuyMomTd84Lw7ebCsCuEgEWZEmW5NmO5KOIMYABUEQLaAgCKIFFARBtICCIIgWUBAE0QIKgiBaQEEQRAsoCIJoAQVBEC2gIAiiBRQEQbSAgiCIFlAQBNECCoIgWkBB9EYqy5LxRFLPz43J/1fm9SVa7s6tWpr9ZMO/hWodYhhQEL3x60Bc2CfBIz8ZcJKiZF7j1CPHfich+f+66EjOcFenWhrmU8S3kO1LV9xvKqLthUJWZNWgIPpztwjZonhWL52i5C4twwpETikLQoVqE0S9tLKv5lhSp0Z7YgG3TrpY5T7zkPJLn+QCRVVD+d+PsKAg+vO63w8lgtlnrWg/Zq7QsMN1RkWQMK2CqJVW8dUc23h2dZP6wfyt20M+0n/LhvxV8Dq1r0cm8r8fYUFB9CfM/qVNLfZ6Mq1pQTIfpBaM6C5IHHP9jcxEbkGgHCRMe2JfaSrLxst0Q0FB9CfMnjpCujMbNC3I7hq0C38Wr7SIip/0yTTpMne3DleVBQnz6tDYiVEgt4jhjWu9coOSlEo3NC6STN39rdQWRpB/fy7d9r5S6OaguhW98/4p3+Ll0W6qQsr9QxomDShV1zcj/+Vj9UnlKtdyw/sdRnVzy304bVuJadWNwcrVIZpBQfSHFoSaQnwpVhBqF+OCc3m6Z3zDVdZtLr0vZBOeL8iOX+OpuGG0AnlFDF3eU1dLLlMqlc8ldI/hCdO3qdJq/qOj1ask5YWWDkmWX2yf989JTnIqsl5H9oJPz3uUcT58aVKRkUov7ybpeR/wqK6MyrLLfYiZzbSKqe5CfnWIZlAQ/WEEyWpfJFAhyGlmq7tFDlHU7BdHCb1nE0F25gmSVPwKpdiJyitia6D/9LNVKqX2MoJIWUGG0a8dJQdzQ/eLRNFPDuX+82UR5m7uu8lJtqI5xZjDyR4kLv9lVpCc8GGba3L6ec4DFUS3Sq06hAMURH8YQaiIL794zQrCuiBv3JWSeVAzyRBnD+9+J/MEOUPiKIUCeUUM0n1uHj91Viql9jGCZLGC+NKvJZH1uaF5NpTye3YT5m7uH8gc9sV5FZi/T5Kn+S+zguSE438kNYefzn1gWzVftTqEAxREf1hBqEufNE7PE4TaQl6fPEPNIAmKSK4guwhzefGXRKmIJunHycnUqF+VSmlBJMqCJJIbuaGZJFn5PRvIXfpfmWQNW5NCkKMVs/NfZgTJDVOZZybWIkdzH5hWzVKtDuEABdGf13bswwoyIl+QFJvpk+T0jtJeRSRXkHuE2c0PoBXIK6LxI3Tv2P5XpVLqMPML8IARpLwv/dqJxtLc0EHip/yea2QF/a+XRR6wNSkEGT1X6eXdJCUvfOU1bd03K3Ie2FYdVq0O4QAF0Z87PdkH+QDC7K6cIOy99jw/X0dRGQ3LHE3P2Pwx90Uqu3OZgNR/htJdg7wimm1kQ+TS7zoolVI3idfHS2MJXUeJ5q/kL397kRfKavL5EWnS1dx/yrt9GUbJx0xRNGVe0TWZMn+7LKWXA8iuM+tzwn9toqj4hqE5D/Su2GMqq7lKdQgHKIjebG5r485capxKql+Mova0I72D6H88+ZTp/Ca41qk+MCDvRYqKcqhcZnYYab8nt4ghtWep7m8Hf7FCqVTuWaHihCjyk7+s68ByP4yVKIUknjXL/Lgn75/JXo09Zu7PGdCYV+J/ZVv9zfwj72VJy1KeKTnh461buI+6T+U87GnPtCpxbO3yTfbmVYdoBgUxAKnXjTPwFnSIq0Sxi4UYHhTEjFj5w2iOEhREKFAQc2IvlwcoiFCgIObDbY++gRxFM0sbtSVWBApiCSz5hox6aupGWCYoCIJoAQVBEC2gIAiiBRQEQbSAgiCIFlAQBNECCoIgWkBBEEQLKAiCaAEFQRAtoCAIogUUBEG0gIIgiBZQEATRAgqCIFpAQRBECygIgmgBBUEQLaAgCKIFFARBtICCIIgWUBAE0QIKgiBaQEEQRAsoCIJoAQVBEC2gIAiiBRQEQbSAgiCIFlAQBNECCoIgWkBBEEQLKAiCaAEFQRAtoCAIogUUBEG0gIIgiBZQEATRAgqCIFpAQRBECygIgmgBBUEQLaAgCKIFFARBtICCiBf5xcewnE6V6tUU6wUFKTz35i7oHQbIZc+tX9k2BZx/5BQoA4TjltXOoqhkt0rlHSW8cUWYOjZ5yZB78IZbMyhIoUlrlkX5dQYE703LjG24GJp/1D0ZUnlYr6OE3uYPzJYEV5vCF88Jv28pp250hTfcmkFBCs0eZ4r6SCT8wTtpFOW5DpjPbnIbWPl7ZpsPklLU9D78cTZ8o0IcdX4svOHWDApSaGZ703v2RV+CsklOScD8pap+3dpdhoTZbZ5h4HL+OBvOaltz7dQ0nRputaAghcZjOv2XzRNAMnvcwD6Xgfn55e/JF1ZMBYRzBXndJYO/bkX4Zuev65/XoeFWDApSaHy86L9KxMLCu0omw/ITe1FUxif3AOEcQZL7RgDawobv9cySTiwRq1PDrRUUpNCs70tRkqrZ/MEY+k8YiYPll3en939KhwPCCkGknm8gbWHDU9dTVGaZD+CGWzMoSKGJqCKhjvgAgp6RFLXFG5h/XTmVuttNDgi/JZkUJRtzPSYmRsobZ8Mbx1FUaBd4w60ZFKTwHBq2anYmIHe867S/DoLzR1zWTYsBhI+5kAkXKC/CcJ0vrgjLJk3fOC8O3nBrBgVBEC2gIAiiBRQEQbSAgiCIFlAQBNECCoIgWkBBEEQLQguy+AY8e3YtPBszUodGOCfAsysu6lBxLnsOwrPPdRiakw/Q4fwmn+fw7ME98GweF1fAswnOOlQ8MgaeXXsWnr2xWIdGcCC0IAN2wbPrdFioT2vp0IgvX8Gz9pt1qDiXqb7wbFBbeFZKpPBw2yB41ncqPJvHZnt49tWXOlRc6yk867wOnt01QIdGcICCqIGCcIKCCAAKog4KUgAUBAYKog4KUgAUBAYKUgAURB0UBAgKog4KAgUFUQMF4QQF0ZfnFT7n4rMynEUFKFMKnrUpAc9+XqIcPMvd4HIlOd9UujT8A8pyV1OQ4jpkS5aFZ7U0+GsbLsqW5SzSEBYqq0NYS/bzB8YU5ErdY1bAmhKmboFRKLXT1C0wBnXOGFWQb4OtgL9LmroFRqHUaVO3wBg0QEEMDgpiQVicINe3ex3me0Ub167dun3j6q3CNMF4gujyZQ3wxVQxgiAiWJnmJIh3Y1LN4XJw8OGBJVvN5wpt7kHW872Sy+FWNl90PxW8kSjYybzWgX3K8QYYBhHE4F8274tNd+jU7JABWlg4QQz+/WguzfIMDt7+c6kqA88pXjDAyjQnQYJ3kFGKJz+fUC/aXOFYzrNjBRZIwVcU3K7msXNGiVbBfnW8Jk6c2LPJbebFTq7084kF6tcFw/yCGPjL5n2xqf2Dg0eXv1L4BhbyF8TQ3y84eHGDedeDT3/mNKcHaad4xQAr06wEOUQmKp60Oa9edLzvhdxnBZZgwVcUHBtD/+VcKXjLdOZfzdgfkOBfzxaqiQyGEcTAXzb3i92qvCs4+EKRhYVvYCEFMfT3C57SMIj+e7sL/Vd3oqjTACvTUgQJvnU75wl8mV5h/ht16xv89z76cVMnxYvtrxWqiQyCC6LPl839YpuL3KT/rjOo8A0UThC9vp/fpweZh/3M78VccoR9zQAr01wFWfN75ePNS/588L9WJb7dExz8V9cvAujXj9v+0vB3Zgme6FezTOeLyq/cGDeg/y/bFG/v1ex2XpVdL7OPt385mFO199ef/bi1UM00uCAG+bI5X2xuKeYfzToXvoGGE8Qg3++73/Lrnvj5dUXVhV+Z5irI8f6k154jNWv19g+oVTc4+D9XQi/TOc3OBZ/rySzB5oHB24qPU3rlVkt6j3d66SD27X1a5gjyR/Pq/1vMPlvWO+czmrv4za1cPKAwzTS4IAb5sjlfzKs8848OzQrfQMMJYojvd4RMGVmn/hT2+e3vZiuqNsDKNFdBgueRk/T/FITuzU0h9P8ua+llerGYX3DOb/Bx+knHrkqvLCdHg4NPkbmqFZ6/dXs0WUQ/ufpVbk+OWeu7iWthmmn4XSxDfNmcL+ZRlvlHly6Fb6ABd7EM8P3+IM3W7OtF5jHPx/fKedEAK9M8BWl9K3ghuRQcvJjpjC0jp4KD19PLdD1hju6xy/TGwv4D6zdTemUE6dp7oFPHVQXqvFmS+Wl266fyYrX+hWmmgQUx4Jelv9j0T5j/ZFsNLnwDDSWIYb7fROJPr8wv29NPt/2scoyucCvTrAQ5RYYrnjQPVizTJcwy/TN3mf7Bds2O0Evw4jeOl4L7N1N6xYUU7AoqXqk8hF7qpY6rlNSbUZhmGkYQA39ZBfVmrCDMdv3DpMI3sJCCGPj7zWe/Vye6sn+bqx67KtzKNCtBbpdpyI6KbuuucZnuJfSOKv3P9cGzmR/q35opvbKALChQ3WC6huCzn+wNDm7/e85LN7yYYzznq58pTDMNI4iBv2zuFztXfEVw8PXPAgvfwEIKYuDvd4Ad523qEnyhzT85LxlkZZqVIMFjSKdt/x6c/iXThyP0/xPzmP82/iR0/2EVORB8q1mpP6+s7kZW0ct02mmvOr8ovXLt61LLr12b8S9bTf82bF9uWpfLwdd7TGP2eRVHRPZ84/WH6+3gS702FqqVBppqYtgvm/fFejW5FTyrpwHaV9ipJob9fsEde94OPlDl3LVf+jGDgwsMtTLNS5Db836sUPyrrvQinfkd6b5ndiPSdTO9TH/dML8xabc2+HSP8qVcj5PG86+0LdnqZBebifmvBJ/vV73yr38qqvm9KbtMj3dq0K4frcatr2orlrFH6QuX2tZpP+hk4VppIEEM+2Xzvti1Ia2HON0wQPsKK4hhv1/wlQFdnfoHBg9UTBtqZKiVaV6CaORWoSfgXVdsL7d/mFjoxjAIOVmx8F/WYAgyWdFg389QK9MCBDEY6xsbZu3gdHcRYKiViYLks9AAPVcGFEQEGGplGleQQ0V1OKnYbCllFd/SplwZU7fAGBSFXk3ZML8gjc9xcSKIs6gA/56AZ88EwLPnjpyBZ0/8y1WyzYbzTf/8A/+AU8fh2XOHdMgePwXPamnwFzu5SnRaP0fg2XMBBlk/BQnibnDTK0YV5H+cRfFp8GpSE+HZrCh4loqUwbMJqVwlj4pwvkkigX9ARiw8S4XrkI3NgGe1NLjII66SVB0uki+LhGepqCx4NpFz/RQkLZ6z6H8oiBIoiDooCAqiBAqiDgqCgiiBgqiDgqAgSqAg6qAgKIgSKIg6KAgKogQKog4KgoIogYKog4KgIEqgIOqgICiIEiiIOigICqIECqIOCoKCKIGCqIOCoCBKoCDqoCAoiBIoiDooCAqiBAqiDgqCgiiBgqiDgqAgSqAg6qAgKIgSKIg6KAgKogQKog4KgoIogYKog4KgIEqgIOqgICiIEiiIOiiIhQuSeuVgCLxiFEQdFMSyBXnoNGWG+1RwHAVRBwWxaEEkw65nRWWvXwitGAVRBwWxaEHOzGP6IJmDuL+/KiiIOiiIRQtycDPbSR/1GphHQdRBQSxakEvTGUESB6YA8yiIOiiIRQuSMXpPRlTCzI3QilEQdVAQixaECp86dOTA9ZnQOAqiDgpi2YJQ8vcXk+AVoyDqoCAWLgiOpBdEF0FiuRuBgqiAgqhhDYI8ndC797jHHIUoiAooiBr6CPJ81274xBfTC/LO7r+EhHND32guRUFUQEHU0F0Q+ephK/50AB9SM70gy/YzP3kHF2kuRUFUQEHU0F2QfyakSiTJY/8DfoDpBRn3jBEkZLTmUhREBRREDd0F8b7DbG9XZwI/wPSCTLvBNDjYW3MpCqICCpLPwxFh+gji8YrZ3p6MAzbG9IIETciQSDIn/aO5FAVRQQ9B5BfVD4BYiCBjyAJ9BFlwkt2lXwZsjOkFkS8bsXGT62K55lIURAWYIMlulco75hzKfOQUqL69WYgg7mSuPoK8srstkVyzewdsjOkFoah727bd5SpDQVSACXJgtiS42hT26aPuyQWKRSzIqt7JQgtC3R7bp8+4+7D2iEMQHEk3sCBBUoqa3od5lt3kdsFiEQvSgFwVXBB6O46AtYYBBSmA+QvCMHA58/elqn7d2l3OeUn212IWj/rJXETHcxYVID4Gnk2KhOXqkdPJyRESUHYEmZGcHMPZ4Jufcr4zNhbWGoaEKHg2OVyHbFQCPKulwcUecpXosn4kEfBscmQSPMu9fgoSH81Z1GCsYtP9i+//TrAgr7uw/0HNL39PvrBijsUZY91YetdL5CIqlrOoALHR8Gx8BCxXjwQlJkYkgLIuZFpiYjRng699yvnOmBhYaxjiIuHZxHAdspFx8KyWBhd/wFWiy/pJAK4floh4eJZ7/RQkNoqz6Jshik13It/PLlSQ5L6KvYiJvWgvPrmnWijiXaz65LIRdrHMbC4W7mIZfBdL6pkzc2d5d4qSl1ZbbygICqKGlQkiG3M9JiZGSvnHvq6cSt3tpnYIHQVBQdSwMkG8CMP1jFqnqCMu66bFqBWjICiIGlYmCA8oCAqiBgqiDAqCgqiBgiiDgqAgaqAgyqAgKIgaKIgyKAgKogYKogwKgoKogYIog4KgIGqgIMqgICiIGiiIMigICqIGCqIMCoKCqIGCKIOCoCBqoCDKoCAoiBooiDIoCAqiBgqiDAqCgqiBgiiDgqAgaqAgyqAgKIgaKIgyKAgKogYKooxhBHm8dd01jsthFiB8/7J/QTXrKEj25bXbnnIUoyAoiJ4YRJCVrtv9vCfBbsx5ym7T1iWOkIt96ibIrHE+fttGrNdcjIKgIHpiCEEujc1ITZQv3g7JRtm9o3exTk4ARHUTpNdyeUJqmvt1jcUoiJkJ8mLbmstcuyTmJ8iiM0wfJHQEJHtyOdMHkdsBVgItSLTf5LUvINW6k5/fJV5/Kjv5p8Ziaxck/f6tdPAHiECQnSO2+U3z5miy+Qnie40RJMoBkj20ke2ku3LcZU+Z+mS3w5ajAc4nANW6k0Zbh7iOHLFxvsZiKxfkmpOrq/0B6AeYXpA7rqn0LtbqDZpLzU8Qv/WMIEGg+zTdHiujBfk4GNBhqU963qZ3saIcAJeXpgXpE5WQev+XtRqLrVuQd3YPUxMi3M8DP8D0gqw+xvRBwjn+xzU/QRKH742MPGMHulus3HfBm/AH7scBUVoQtg+yLIg/605+6HEuMmJn+9Uai61bkA3+TB/k3ljgB5hekMVnGUGS+2suFYkgL2b0sV8HHN34+Eef3yc/gWVTNw/pOvI05JhwfdKXFWT1Sf6sO/n+2oQefRce+0NjsXULMvcKI0jCYOAHmF6QfSsYQa5M1FwqDkFeOFx6885vDHTFSaLhH5kFvKFTffLrG1qQVGfAT5M7afKCipJQ+//SWGzdgqw9zAjyxB34AUIJkh78BHhH1lTXvRERV5zUbxeYgzgEmXSe2cVaeAhYjTAj6atHXn/w0IdjbEMFdzJ0QmJC6kuO/TzrFuSFw6vUhAQvyG4tg0CCnHRwcx3Jefc4tVoX9e0xnuvGX+IQpF8yI8iZpcBqBJpqcmf6wPGB2YCsO5mzyc5nst05zcXWLQh11s7bZ+hm6FQHYQS5MioiMfWRA/R2kCncjRCHIEOiGUGOau7zFkQMc7HCT57n2nasXBAq6dxJ+J3mhBFk/B2mD7IXsjvAIPqR9JXraUFSRt4EViMGQXCyophH0u1iGUGu+QLjohckefR0/53OG6HVoCAFDRrYQQAAIABJREFUQEFUGP2EESQAuksiekEoaeDCdeD7I6MgBUFBVDg5SZKY+sHpGTAufkHwfJCCoCAFAAsiX9useYvWgdB6URB+UBCNmKkgMQ7L1m+aPgk4EoKCAEBBNGKmgizeSfdB5DOhgzEoCD8oiEbMVBCnCKaTfmEeMI6C8IOCaMRMBXFkBbmIgvBjFYIknlx9El6zFQiySLGLdRgYR0H4MWdBHtst3bjYHjjB2SoEiXHYeO3q3AlSYBwF4UdXQR7uDeCa6WNsQdKHX6V3sS47w65jYRWCUPEbvbz3g78nCsIPLUjSocW7QNPb3InvH64rlg09qLnY2ILcm8j2QTgnpKpjDYJY8VVNKKEE2We33H+T7VlA1p0MnJWZkBrDcQ6BsQW5OocVxPcaMI+CqIOC8FOf9D1D72KFDgWcjOVOGr9m+iABqzQWG1uQDw6ptCApdh+AeRREHWsVJDRcF0F6sH2Qxaf4s+7k+0RGkEuaDyMavZO+dlZkeMRMzac3agAFUcdKBUn6rKYugvRjBVkDGH11Jy2uM4Js8tNYbHRBMvwG9Rq0HdpHt3xBYv0SURAA70lxXQTpFE4LkjmS49xkZdyJ67CnCSlB9pp3x0wxUPhKh6zFCzKVLAQLkjrhFAoCoT5ZOPrxx7C5iwFZdzL3P/vBA7w4LsNoISPpqdsizFQQLzITLMgJ0g4FgVCfXAp07eawHXLRTGYcRB7KWbGIBYk5KQcL8hdxtwJBAkgrFASCOY+kU2BBHMhxsCDLiBMKgoLkYh2C9CDbURAVLE2Q9z0PoCAaQEGUsGZBdpPfUBANoCBKWLMgO0l3FEQDKIgSKAgKog4KogQKIowgOlx6FAVBQdQQUJAjDe6KQZDVI87fg168GgVBQdQQUJDhZKkYBMm5/cFL/iwKwoCCqCCoIEvEIEjODXQANylEQRhQEBUsXxBdbsGGgqAgaliBIDrcxBMFQUHUsHxBdjv4H4PeBhoFQUHUsHxBLkf7TV7LMYNdFRSEAQVRwQoEwYFCFVAQBuEEyZTJZepngaIgKIgaViZIslul8o6KZVqWEPKTWrEWQSKSQR+AgmgGBVFCxIIcmC0JrjaFfTo8JiZG/XM5Bbni2qvPzPeAD0BBNIOCKCFiQYKkFDW9D/vUU0MxlyCeTnfiEvY7J/F/AAqiGRRECRELwjBwOfvQrvMXze+oFXEJ0uoa0wdZvpe/chREMyiIEuIW5HUXxfL/U5Y29Ouc28mntf6FpUGdGA3YkobvYiKiYg7P1lSqyjrSKSYmKpI/SPOAFI+JiY4AZWPqkpMxMeGw7HAyNSYmMoqr+HJxzncCW84CbTkLsOWdydqYmIhoUHYOGaLtW8aUfMBVosu3hLacBdhyVzJRa8uV2Uma0g3mXtQNmik23TZ8B5GggiT3zR+Kfk3icp7dD2bx+16qASfy0ztpbLL04GpNpapsI92kUkk8f5AmjBSXStMjQVnpN+S8VBqZAcq6kdlSaZyEq/heUc53JibCWsOQEgPPSsNhsd/IVqk0JgWUXUwctDa46COuEkkcrDUMGcD1wxKZDoqNJdOl0njO9aPCIdJSKk2O5Sz/fpti0+W9MjhQEKnnG8UT5qc5+iu1Uq5drAFL5fFp8cPu8tfP7GLJHgdDLs6Du1gFwV0sdYy8iyUbc53+WZJS/rGzUyhq1Um1Yi5BFkwav2m9/W7AB9CC3BkxzMUOcodfYQQJbCehBYn88RIKwlWCgnDiRRiuZ9Q6db33hIUX1Ys5D/PKL2/aEwL5gJ2kg92t1MRQF8C1/oURRO7R2JlM+mY2/oKgIMqIZqrJd/uZo1i3JvBnBdrFkntUJBVm4y4WCqKCaASpe4MRJMaOPwsX5PBtRpDUeRGgPoi8PmmNfRAURBXRCNLwGCPI47H8WbggxyreqE/OdBoE66R/KEe+jENBUBAVRCNIG6eI1MTkCer9fw3osIsVWL4GaeQoAwny4ZtfSNPGcSgICqKMaATpftxu5gzH9XL+rC59kMBPSDcZqA8S/f0kd+Jr3+ajsILIjk8fs+ojNI2CKKOrIJKLxzmXtBkKQiWeCwScF6ubIJLiZBWsk35jETMOIvMJFlaQRd6Xr/nbhkHjKIgSOgpy0XHGjOEbOP7HNUdBBJiLJWllQ2zOi2ig8OboTHoXK2gyMI6CKKObII0d3qbFp/kc0lyOgjBIWjvWJ8vKnxePIFv+Zvogsr6gKQMUCqKCboLU3c/0QUJdNJejIAyTB0rrk8sHv4Qd5jWGIJtREA0IIkitc4wgqX01l6MgDBnZ7EBhunh+Qa4odrEAw6EKzFWQqCNrg6D/CQgkSL3tjCCP3TWXoyA5iGyyony+9yW6kw6+ea2ZCnLFduWmOc4foHFBBGnqcDMtPnzsf5rLUZAcRCaIdRzmjbV7Ru9iBUwCxgU6ivXQzcllSABHOQqSg9gEsYqBwjOLmD6I3AF6E2uBxkEyz/0dx1WOguSAgqhjBEGO/sV20keDJnJTgv2CjMJfEH5QEHWMIEjwaBktSNRA2LZMUW+koJiOfRD7S2nxb0dhH0Q7KIg6RhBEPuPPuMiw8Xtg4cN2XfutAlz5xuqPYj3ZteUmYCoWClIQkQlCSVb372V3EHLbO4o6OC40Mnr5TMCat/JxkM1Oa9eMmQnYG0VBCiA2Qej1EwYMpg+id8ayZGOD+aM6jqTvY0fSR2guNz9BWrilpCbKfAHX0EJBCiA+QcAj6a/d2U76xsP8UUaQxIu3QAOQljcXq34Q0wd56cqfRUEKYMaCRNjJGUGWAu4ARguyf4jnaMergGoDSKsLljWbt951RpBoe/4sClIAMxaEmnCYFuTF0Bj+pBex94hITH1kH8qftbzzQb7fyAhyxoc/i4IUwJwF+eDsu3ml7SVA0os0fcD0QQ6u5c9a3hmFnRyOJ8Rds3/MnzVrQTL3egyZB56KpYsgzw5fBfVfxSYIlR647G/Q2vQi38cyglzz5c9aniDdQ6f06u1+G5A1Z0HkM2f/G7Bv6BNgHC7IFt8RM6c5Aq4qJj5BdBhJz/kFWceftUBBKCrmHShrzoKcH+7h4mY3dTQgevM0pYMgwxZKYzOe2gE2S3EJMrlelA6C2I2NT0wNtQf8AlukIFYwkr6y/aWM2ITJTQFLpdInsToI0iSe6YOs38+fFZcgjcg5XeZibbefMN7hLCCLgpinIB6OTCc9rDqgP12SvNVFELaTfngjf1ZsgpzVabJi4gXoOAgKAkJkgkzvkkYLcqwB4M6NugnS/AMjyFKuyatKCC/I7YfCCWLF18WyCkH2DR574sTGAT0B05R0E2TMmE1/bFg/HLAEBRckpUR5FEQVFAQoyMGz9juW+Wz38QNkdRNkdaufurb9fjEgK7ggUYSgIKqgIDBBHpL/3XaaMM3hT8gGoZsgfQ6mXA1NdAYcP0ZBGFCQHEQlyFVSj0q9GvAWFNZNkMYZTB9k53b+LArCgILkoKsg2U85B2MMIwh4qolugvwiZwQ5uJk/i4IwoCA56CjIWYfBA7xeaC7WLEjszDdiEKT9TVqQ7EmAIQJGkJSrVziPo2kUJGX6DRREfyxGEFfnZwkppxyiNRZrFmQp8RSDIL4OZ189XzQF8EVpQYIcJ0xw4LodpEZBDpFuKIj+WIwgLW4zfRA/zQeZNAsyj7iJQZDt9717OW2FbDzLSE/ncIkkYgTHOXwaBdlHOqEg+mMxgnyfyAhyaZ7GYnELosN095/PMg2+MFNzOQqiAgqSjztpHMoIErBGY7HFCPLtM6bBIRwzJlEQFVCQfNzJwFmZCakxTppPSrEYQX7+j2nweV/N5SiICihIPu7Ed4HrokV2HOf5W4wgvZxCJZKw4dgHgYCC5MOMg4T8fZKrZosRxCnIbsyYoTodxUJBCoUFCaLzSLo5CkKlXNFxHAQFKRQoiJkJovNIOgpSKFAQFCQfFKQA3ILc9z8Gus+QroIkBG2/CtrqURB1UBAGcQiycNaoFUttAWe56SrITbv5KyeNhmxpKIg6ViBI1j45I8iTq2IXZODcrPi0SEeOyX/K6CiI3YOsKPkOX0AYBVEh1DGdFkTuc8yiBcn4YfwR0up+5f1iF+R/H5g+yIH1/DXoJsini5k+iGwIYFNDQVSQ9um2iDiN/fmNRQtCJTTtQn6seFD0u1jfpzKCnAWcCKqjIJvZTvqoMP4wCqKKzL42qdc80fx2sbKTWUEk3OtHmYR6pNhB8fdBWtxhBFm3m78G3QQpNlFOCxIDucWXFQjy+C4ryIGPoD6I7H+kQqIZ9kH+q/eeFiSk5jlYJ30uKZctfkHcXV7Ep5505LzVaD5wQQKldB9kwup/oyK9dwDiViDI6QrXaUFmf/MaJEh2E1Ip2QwFoZZ/NYyMqroFdhTrpg0pMzJb9IIsCbIb0n8C5FLNcEH69H1NiofWqDt0wC7IZm8FglD/lm9OujWKeMG9OeST7fIVqdMm2QwFoZaXJWW2wPogNyt6k2ZNR6aIXhBKHgIb0IMLktm3HSn+k6fkCWyjtwZBqH+LkerbB9v283nPl8x2aT6PONq3iTBDQajGpCOsk55SeUcAaRX9wwrxCyLASHpmN1LES44j6cpUJb1Hv41N3T+K77KczzvELiNOmXb7zVCQx6VIuVDYL0goO1CY9N4qBaFukSISnGqizKSy5FN/5ijWvBP8YXMdKHxc9VfS+UvXXgPnQxaKeYykCyJIeD1StF0yCpLPpEadyTflzwl58WrTC/K25kovMvqH6o8i/J0BN1W3XkE+NvAkxe3bJqAgueyq96EH+cW/wosMasse/riZCvJ8D+VFWgf6PUqlVm3nj1uvIG283pHimX2dUJBc4uOpHsR25auYjLChb/jjZioIxYykN4ph+iBXffmz5iKI4Y9ivZAzs3kzgfVagyAUM5K+cdLYlYtszwCy5izIz28YQU4DpmaYiSCn7Pr05h8Hkd1iBXn/Es8HUYIRRPpACsr2INvlt3dxniysgjkL0nOJPDE1ffRl/qx5CDKGHUl34tvu46r40YK8qrkLBVGiJHm+pu+QvusghzWtZbr7tAlT9uxyXQXImocgLYOZPsgaf773v6juSNpU3SLQGYXRfpPXAmbci0+QKQsl4UkLIPf8sBZBZsrOrNoIuROymQiimM37H/8qfvEFKbFFoFNudztsORrgDBggEJ0gAzPoPki6E6DjbTWCWNgZhYrzQQ4CzgeZSL4U6pz0nrfpXawohwj+rNgEmch20n0BNz9HQdQxD0EUZxQ6aL5QoTKPy5GSa4UShO2DLAviz4pNEBdWkLH8iw8FKYCRBUl2q1TeMXeZfvBVL9Z+TvoR3uofV3UhbauvFUaQvqwgq0/yZ8UmiMMZWpCg0YAjDCiIOoIKUvAuLAdmS4KrTVE8lw+qrF7MPQ5yx+8g/1VNEmqu2Em6P6xyQBBBfn1DC5LqHMKfFZsgF4fNWjFzeCggi4KoI5QgSREREW8GFkgFSSlqeh/F8wMra6gXF3IkXXqBHQd59UQQQVaPvP7goQ+gHyQ6Qd6mnd96gW9+LgsKoo4wgtz5nrBovIv3wOXsQ+zaM3XyXnsZzOL3g1QDTmShVBqbrKmoANtIN6lUEg/KhpHiUml6JCgr/Yacv+kz0Ot4BiDrRmZLpXESruJ7RTW9OoeMlEoTE0GNuUjqSqUpMaCstCQJlUrDYdnfyFapNCYFlF1MHLQ2uOgjDS/6k470+okDfcAHQqTSDOD6+Z6ckkoj00HZsWS6VBrPuX5UOERaSqXJsZzlP/gpNt2XOgnyvwZrjwTQaBLkdRfFf1CLM87Uz30trUEdlmp1ojRgS2ZFRUVEaioqwFrSKSoqEpa9R4rRf4eDslF1yXFwdhiZoq3BF4tretWHONItjwB9wElSG5yNKkHuglvemawGL2pfMlhr9rMHGl7cRNqAW/6EkChwyxuSw+CsK5kA3kh2kKZaG/ztD4pNtyHfHo6KICW5d9ST+yqOk567TJ1poF6Ilx41+Vys7biLpYIwu1jd7rIPFwvGpJ45w1UdGzSoUaz2adVSFAQFyceCBYl2eZ2QkBA5pEBKNuZ6TEyMlPJnVu6pb9SLNQiSHs8KEhGHguSDghTAvAR52kDRSdfQNIbrGbVOUdS2np8ueK1arEGQ43Xe0oLcrHgLBclHUEFSroZqPLiiDgrCoJ8grb9ZeeDgQf/mwPfmoWkXa0XNAWRU+UDcxVJCQEG27bJzcxkHucISCsKgnyClFAe9NN8mXAsa+yArSpNSgdgHUUZAQcZMTYzNOO8MWIKiE0RyeMlOwIRMMQjS5T77cBf43jw0d9IbkkHW0kkPB0yFpAQVpHk40wdZDrjVhNgE2WO/zH/L0FOArOkFCXN+l5ycHGsHfG8eGgU5X4J8/soqBHnk2avPhGeADxBQkCZsJ90cr2rSJ5DexXozFPBfjOkFqU44Ouk8aBLkfPkupGfNV1YgyFCHawmSaw6AO2kJKEjTeEaQ9Qf4s2ITpLOc6YP8+Q9/1vSCOLr579u3b0dT4Hvz0CDIo4oHhpMl8+q8tHxBmp1gtreDy/k/QEBBhi/MiM147ABYKmITpCfbSd/IP+dbBIL8E8Y+bAG+Nw8Ngjw7w46D7AuxfEG+e8Vsb0/G83+AgIJsXeowbYLTHUBWbIJ0eEcLInW/z581vSBU+E76l+4j8K35WPdI+k/BzPZ2dSb/Bwg6DvIm4CpoWYtNkAXuD8PfzJsPyJpekCs2pD9FbYLcdVMFCxFkLFmojyDdvTMlkoxxBc+iKQCOpBegEfkvyLW7w1bIZm96QdpuiphCr8FBwPfmYSGCvBgTrtdRrNVua9aMABw/Eo0gEYsd7Bdx7SjgQKEKKoK4UZQHRaVXB743DwsRhEUPQV6NatpsDGSoSySC2Dr5v3q114Fj60FBVFARxJ3equm66wHfm4fxBXnjN+dgMiRsBEHs7U5GRQRADiCJRJDmW+IuXozbvkZzOQqigoogS+e+Gpywt4wb8L15GF2Qf5389/4FuWAU9T25IbQgzfcxu/T+gOv9iUSQ71bZTp1qu2as5nJuQSSwX20LFkTalRkmbAjbTpUwtiDFHCLpXayzHGtYhaDFMqEF+S6EEeSxaQ/zbtdBkDq9wiWSiH4Fz2pg4RIkYkHfHhM1laljwYJQmUdnztgLW87KGFuQT1cyfRA55GJwLMIK8uN9RpAb0/jr1lGQ0APOXZ0PQjYe3QSp5SiXSOQufTSXcwjS3iUgLuam43P+D7BkQVqyf7+YOOW0piwnRhdkI9tJdwXNAaWEFqTLzGyJROYNuPCWjoIs8A59HzJ5EyCrmyANR3gHBPiMcNdcziHId+uYPsg5b/4PsGRBalx9KadSK3/WqZa7HFgBg9F3sdyltCBvh8DuDSC0IK6zxvnvHjMPsMB0FKRPEr2LlWgL2M3STZCfA/9dvDjwjK/mcg5B6lxiBInn2C9TxoIFCSlGiHP2A3KMyp6zH1gBg9E76Yv+eBpyfRTkdjEsAh/mld/esBF0ioCOgkxg+yCzDX5t3t6OoRJJmNMDzeUcgtQLZAR568z/ARYsSOuJ9557/32PJFFUNqQHnIvRBclc2a7h7/DdQIEFEeqEKTdWkAn3+LM6DhSeshszZmggRzmHIE1GSVITZIsAJ9NZsCDMJRXlPvcIs1ED+px5GF2Qo47+e/+yg5xgymKmggy8SwtyZzhgu9d1qklqcHAKVznXUaytjhs2j/XJ5P8A0QgiuXicc16hfoLMov8ktjxHmGsyeAArYDB6H8RecZgX2k8yU0H+sV2/a50dYJqrceZiPfNbexWyxMUiyEXHGTOGb+BosX6C7Hb2/+vHwTUreWZRgbpMyDLVYV7gKIG5CvI2ev+io6BlYs6TFYUSpLHD27T4NJ9Dmsv1PIq14kvSOvroIc+yX1cC3JUiDxMd5h0pjsO8orhow3ZzFOR9MivIM0EEqbuf6YOEumgu1/fq7nJ2e87cu1Wnk0KMf5g3kxYkRCSHeYUQxC+EESTmT8sWZH6zRFqQtTXChRCk1jlGkNS+mssLdX+QFcD35mH8w7wzn4ZcdRbLYV4BBNlQ42VJcu+niZYtiNzzp2/JiNpvBfkFqbedEeQxx3CofoIkLbPt/OuvHb4AvjcP4x/m3evy23jA+EAO5icItbVqCVJnhoXvYtGGlCRV3wrTB2nqcDMtPnzsf5rL9RNkQMl+P42y/24w8L15iPh8EBYzFITaWoR4WnofhDakFNki1FGsh25OLkO4zo7VTxCbq8zR3SXvgO/NAwUxvCAfi5DTli/IguKkXqxQ4yCy5zc5tz79BKFXn1sKFdEd+N48UBCDCxLe4FNS6ZGlC7KgdgPS9+dYsxlJd/1A7Z2ctKEU8L15oCCGFiS8wYySZGnVR5YtyM7qLxqR/1yaC3IUS5BLj3YJk/5ISC/ge/NAQQwtyGAveUnydnVjyxbkVigzDpJ9INJcBGGOCyVu3cA5TYcLFMTQgqQrBgrTzU+Q/zIZQZLPm3wkXQhBqrB/n/YEvjcPFAQgiNwlihHkxBrLHkkf1OsDIcltRlucINL7H1Mrp9Ok7CoNfG8eKAjkF2Ryo5Ok3tEKFyxbEGnf9oQ09siyOEHSq5BcWgHfmwcKAtrFmlWTVKl0x9LnYkl/I8RDbvrJigbfxbq45+A3uxkCYDvUSqAgsEXmTD65Y/mTFZ8QkiqC2bxC9EGOAd+kDgoCE8SXfPrB4gWJ+5GQrmmWKUgO/4LulqoECgISxP9zUv6bDxYuSFzjYYT07ZpsmYKkP7p8+fJ/7XS5ogkDCgIRZE+lbaTerG/CLFuQ3+3DCUnvPtwiBTlbSdFLx18QTRT2MO93V5jDvN6TLVuQ+zJmHCTjoUUK0uiXEw8f0ZjmFyTx6lnQVm+mglB4RqEGGEFe/fMAdOqb6QUpAbiwpCYMIsipod4+Q7cDsihIAcxZkBOznKePcQsBZE0vSKtQ9iH0/+3dCXwU9d3H8Ym31lILCqj1oYKiVdCnarUXQi2gPpWCBUxIAhiOYAIhBjkDEi4pHpxyU2qbAHKDkUoAEQkYAiKHHHImUo5N2Jy75Nps9v/MzCabyX92dn8TdslO9vt5vdosmV9mh519y0wm2SV+rStfAPljRFZJUcFQwm8JAogqIwMZONuWW7ltEOF50vBALoyWn0kDiV/ryhdAHt8onYMcIfyYC4CoMjKQTuXSOcjEXd5nGx7Ir5vc06pVq5Zunwie8gWQNpkSEHO491kAUeVfINf+bpeAbN/qFyDd5JP0JRovz6Os4YH0+NPIMWPGxD9E/FpXvgDyqzUSkIPx3mcDCMj3HQtFIGU9NjZqIBUv9lkpvPR506/8AqRjiQQkMd37bMMD+YfzxbDGE7/WlS+AdAw/XlJ0ZTDhvWIDCIhj+NPjhKgOfQoNBsT2w0nN7xu5OcQq7fy88OS9B/1ziBU3vTTXtiG6zPtswwNhVZ9Pmqfxot+e8sl3sfZGDh0WupYwG0BARCEthZZ97AY7xNrT7803++7WWO7uHKS0vXDrQT+dg2yd0Sc+Kp7yGoAND+RaJ0EQQsbqvQzio+sgZUcySc+zQALCHM8LD9sNdQ4yT3gj4rjFciLyB/fL3Z6kxwg/t/ntOkjO1+dIl6b1ANktvOYHIKMfTblUcWYo5T/jdQriK+nWVkIzs6GAFM0ctUXa4K1T3C93B+TTnwpN/2Yz0mvzsgyzH4C8KP+tHA1yDmJMINYOTwntnjbTgdhTE4fOIb2uq7+AMBb/gwTkbKz7pW6AfHrfdKFT578VGQmIlM+BVL/lgcarNWoXtEDKX+02SRg8+DcXyUCmjdqTsSIsmzDsPyAT0iUgGYnul6qBFDTb/anwkvXFD4IeSJx89pH1LH0TnDUiIFe27NJ6srsB8kN0xVQhumpMGhXIL2IrxEOstJGEYf8BSR9cYLEUDvnK/VI3/4KUyRcKK/EvyNJ+mRcPzbqf8I7fdQtsII4jqzMI30SUR5eEjx0ZrvHM8cWFwuZrpHMQew/C9ugD8i8dQFhyn8lTwj/RWNg43h9EzudAHCNCBEF4pXG97E9ewtBpY948QZrdlFBUWHI20v1PzgUwkPltTuoBwi795z+XtJYBSJ243yg8k7IoQ/d3eQMbSOIyR449vb+VMjvktHQOsm6+24W+AFJ9iJVAGNYDRE4HkED6WSw6kDHC9AYEUulyofsfkIAGkhNul85BknZRhnsXSUDSp7pd6JOfxXKepFPefhRA+PIWFjUgkI+aDar+7mM/d4+QxwIZyOlh8kn6fNILUgw7IgFJXup2oU+A+OfbvHKBBeQCbUP0AJGjAyn6OLz7hDMaC/UDedX1DPqacgBQp0AGUviGVQTiSNhPGd4Zm1tYciTc/fF5AP80r1wAASldHtZ14FbKsbr/gJTFfnIx+2uN88l6AGnjegfs4vbEr3V1Y4Hkhdyj5xxk0SRLTvknI2jf6V0dMXjQQA1LAEIGMuUjsynr7Q2EYf8BWT9DOsTaOcr9Uv1AnnN9yvEA8Wtd3VggLDVdD5Dyeb0Hho6njpcdOKlFCUDIQGLt4jlIbm/CvvcfkPe/lIBYerpfqh9I7bvmXAzw9yiU03Oh0LKfeMYoZchfmJILICDz5ZP0WMIvmvsPyOxUCUiuxm/g6QfSwbWRmwP8tXnlAuNHTRiAqBOBzJCAOPoSvhnhPyAZseUikCVz3S/VDyRpWfWNinbRxK91BSAAUpsIJDJLBJJG+O1Qf34Xa+Hg5NXvDdW4aKEfyMVmzrdVtkbdovGLAtoBCIDUJgLZGz57yZSoi4RhPwJhhz6evlVrzfW4kj5b6L/iwJbprQQ35/3W6Pua9pUf06rJbZuH8SoBBEBqk66D5K794AvSz7/5E4iPf9TEMetW6WVHb3L3DdG1Ey0HHxgt3To8riLv8Rnc4mAHcio5hfLCZ0EE5NS8kf80U4YlIJYDJvqPNzXkz2LlzIkd/IGQPXGgAAAWbUlEQVTbPZ1mYyyxu3TrO/EJH8f/rFKQA5kbNeujfosJ6w4aIKmRqzYtDqMcqrcTti3oPShsnIm0atbgP6zooV4zq28U9yuuvlWZNEYu4hGLmyKEKRbL1QJ3i1QtETpbLPlm0qxckYk+azEV02ev5mstybzF3WcnCF3i8/Lyrsakel/3DqG1xVKYS9uQO4STFssV2qxcbiF9Ni9Pc9Gt37v55D+FjuL+uUpa93lB6HW62GT5sj/hYX9CiBl3yZT/j2jtDaqbWXP/qCvQ3uC2Uc6n7iRvR3dkIFldnP+Bqorv1X1P9edsNUAedbcNwQKk3R7p+bZjtPd1Bw2Q6RYRiCXypPfhJ4Q/5lhMRZYR20nr9jmQ97y9bDYViLVH7T+CyXdwPzt+/YdYyQY+xHrinHTEcoLwa2Y6D7HOr416OeYz8rYH0CHWx/KFwrcIL/Jc88qKiwmvrCgXoIdYtrjqFy6Szryyhfy6S68fyPl2Sw0L5Dep0vNt3Ux3S+umE8j7o86ePT1yOW08oIAMKBOBZIVVeB9uJ3SySUAmE14xUC4wgdiH7jObzTa2Ii9O/C/DMv4bwdcPRM6gQPpEfmuxZERq/opebTqBdC8WT9KL+lB/TiaAgMwed+xoxsDthOF2woDFVbmV37xJ/S2kwAQyXH7jqX3lrbaldh23YB2/OLiBRB+L6949gfItG51A3pa/i/VuBm0+kIDYNr/dKzGTMtxOSB311vhRA46TVs0CFYiXghyI+DymfZdSJ5AhMpB3DtPmAwmIvt8oPL3uO8LBWHUAQiuwgPjnSvrfjopAvutLfEUW4wIxyJX06whA/AJkS9iC5Plh39HGAUQdgBAzKJALuSsmriD9wIYcgPABCDGjAjHsj5oASN18AiRvdujrk7Ko0wCiCkD4GhWQa4NWXfxxR+R/ieMAogpA+BoVkOR50iHWliTiOICoAhC+RgUkKUMCkhNJHAcQVQDC16iATP9SApJNfY92AFHlZyCm93p1e4fyopsAosoXQHYmVIpAZrt/1U91AKLKv0A6RqWYcnaGn/K+bgBR5QsgjpmxKSvHJlAvGwOIKv8CeWKWdIiVNsb7ugFElW+ug+yfM2MH+ZkMIKr8C6R1ugSkINT7ugFEFS4UNn4gj2yVgPz3Te/rBhBVANL4gTwbU1ZS6PhwmZuFXACiCkAaP5CX5g3694rR8YRzRABRBSBBAIR9u3g26RwRQFS5BxIjzAeQOhkbCC4U1jv3QC7PvAYgdQIQVSIQ878nLqS/HHQjAiIHIIoARFU7ITls4aqUyFTaOIBQAxBVBgXSfZd4iGWKoP5NAYQWgKgyKJAu8jnIzC20eQAhBiCqDArkLzKQhRtp8wBCDEBUGRRIp/MikLKB39PmAYQYgKgyKJAZAzLOnkjk33JGMwCh1fiB3ClcDAIg0c0u741/deBq8ivHAQitxg9kRGhVEABxfkVwXiiUAxBFuoDIAQgfgNACEFUAwgcgxACED0AARBGA8AEIgCgCED4AARBFgQTkwNwpq63eR6sDED4AoWVUIEsGrtv8UV/yswdA+ACElkGBPBRlEQ+xNoynbg2A8AEILYMCab5SOgep6EG9cAwgfABCy6hA1ktAqnpQHxUA4QMQWgYF8uDIKhFIRix1awCED0BoGRLIf+98deyM0+d2RFB/ttuQQPKEWwCkbgBCA8KulpakxIROOUHeGiMCYTMWAEjdAIQIRKrRXyiUAxBlAAIgXACiDEAAhAtAlAEIgHABiDIAARAuAFEGIADCBSDKAARA6pa79oMvqO+mByDUAESVQYHsDZu9ZFLUReo4gNAyLJBTySlnyXcQBEDyIk6Lh1ip8dStARBaRgUyN3revIGLqXcQBEC2z5DOQRx9LxPnAYSWQYG8MqrCYimP/5J4B0EAZPN8+SQ9lvrPKoDQMiiQp7+Tnm/fTCDeQRAAORJjF4Hk9qaepgMILYMCeeKc9Hw78TbxDoIAiCPpw6umrLfXULcGQGgZFMhvUqXn27qZxDsIAiDMsjis68DNVdRxAKFlUCB9Ir8pLNgdeYl4B8EAhDH7BfosgBAzKJDoY3HduiWQ34YySIDgSrqiIAciPo9N9DsAEFUAQsu4QBr9lfTVAHI9AUhjB3Lh+SUAUv+CGUjqLYuCAIgcgNS3YAYiByB8AKIMQACEC0CUAQiAcAGIMgABEK4gA2KNvq9pX0vdW4oABEC4ggzI2omWgw+MrntLEYAACFeQAUmzMZbYve4tRQACIFxBBkSq10z1reoABEC4gg9IVpdy1a3SJ1rLPdAmVytTjuYiVTk6ZnOv+GlWe4N336b5RTkm+h3omfXRluuavfOo1hK/bbmeWT1PEg8b/Kv2zqfuk97+A04FYu1hUt1i7MJ5ubXt7VrlX9NcpMpaSJ8tz6XP2nMq6LMFVq0lR0I0v6i4mH4HpWb6rP2KjllzKX3WwwbfdExribWAfgcVOfRZe245fbZQc/+ou5avuaj9WudT1+tP5ROB2OJ+VN2qDYdYOMTiCrJDLPvQfWaz2cZW5NXcqhOAAAhXkAEZLkjtK2+1rfpW3cUAAiBcQQbESwACIFwAogxAggBIwdz+YUnnqHcAIMoApPEDKYledPZcap9s4h0AiDIACQAg5u1Hbd6nqtMPZNUM6RArdTzxDgBEGYA0OBD7wtDhgwcfp47rBzItXQKSF0bdHgBRBCANDiRlojWvfH+/fOK4fiAztktALvcj3gGAKAOQhgZSFXpVOgeZt544rx/IrnibCGT+AuIdAIgyAGloIJae8kn6RuqbMOgH4vj7sA2bpgy5RrwDAFEGIA0NpOoN578gG4jz9fg2r2PXR9M2kb9RBiDKAKShgbCUpJK88m/9eA7CcKGw/gFIgwOxL+ybMDzaj9/FYgBS/wCkwYH4/ToIrqRfRwASAEBwJV0VgBADED5cSQcQRQDC5/cr6Tn7dTwkAEILQFQFDhBdV9JzEt8I7zm/gro1AEILQFQFDpDqK+lzKGu3J/yrIqcoaQl1awCEFoCoChwgzivp0aS/aOYIh3gOYulN3Z8AQgtAVAUOED1X0jctlE/SY88QtwZAaAGIqgACouNC4VeTJCCVfa4S5wGEFoCoMiYQS7899pyqpROoWwMgtABElTGBsOP9x06LTdB+enIBCC0AUWVQIKw0Y80RB3kaQGgBiCqjAsGV9DoBCIBwAYgyAAEQLgBRBiAAwgUgygAEQLgARBmAAAgXgCgDEADhAhBlAAIgXACiDEAAhAtAlAEIgHABiDIAARAuAFEGIADCBSDKAARAuABEGYAACBeAKAMQAOECEGUAAiBcAKIMQACEC0CUAQiAcAGIMgABEC4AUQYgAMIFIMoABEC4AEQZgAAIF4AoAxC/AHGkj40Yt4e8YgDhAxBiBgWyesg3h/YOXkcdBxA+ACFmTCDm0BzxEMsUSp0HED4AIWZMIJnvyucg4/cT5wGED0CIGRPI/nEykLHfEucBhA9AiBkTiCX8vAjkbPg14jyA8AEIMWMCYTsjNqStj9hFHQcQPgAhZlAg7Ic5CXNPk6cBhA9AiBkVCC4UqgMQWgCiCkD4AIQYgPABCIAoAhA+AAEQRQDCByAAoghA+AAEQBQBCB+AAIgiAOEDEABRBCB8AAIgigCED0AARBGA8AGIH4E4VJ8BEADhCjIg1uj7mvZ1Pqb5Hz6s+usACIBwBRmQtRMtBx8YLd3K7rZZABA+AOELMiBpNsYSuztvXwQQVQDCF2RApHrNdH5UAjmwQ27Ok+Va5Vk0F6kqzqfPluTQZ8tNpfTZvGKtJYdu0vyiwkL6HViv0mfLr+iYvWqlz3rY4Ju+11pSnEe/g1ITfbY8p4Q+m6+5f9RZtDf4yTnOp67X32cmA8nqUq4CUvrCs3KPtTZrZcrVXKQqN4c+e9VEnzVf0TGbo7nBe27T/KKA2HLTVfqs9t/SfMdRrSV6/pYNseWqcrUf6sd+63zqvuDtCIcKxNrDxFRAasIhFg6xuILtEMsW92PNTQBRByB8QQbEPnSf+M+Sja0Qd+4FoYJfDCAAwhVkQIYLUvvKW21jnw0QEr7mFgMIgHAFGRAvAQiAcAGIMgABEC4AUQYgAMIFIMq0gZTuP0V/cgKIKgDha1xANoQO6PvWcepqAEQVgPA1KiDbh5kKSjMjqc9lAFEFIHyNCkj0D9I5yPJPiKsBEFUAwteogPQolYDsnEFcDYCoAhC+RgUkKlsCsmopcTUAogpA+BoVkLWJZQWlP0ZmE1cDIKoAhK9RAXEseHPC+L7p1NUAiCoA4WtUQBi7lJpOf+4AiCoA4WtkQHAlXRWAqAIQWgCiCkD4AIQWgKgCED4AIQYgfAACIIoAhA9AAEQRgPABCIAoAhA+AAEQRQDCByAAoghA+AAEQBQBCB+AAIgiAOEDEABRBCB8AAIgigCED0AARBGA8AEIgCgCED4AARBFAMIHIACiCED4AARAFAEIH4AAiCIA4QMQAFEEIHwAAiCKAIQPQABEEYDwAciNBfLYQa127NVcpCp9J312/zb67MFtB+izX6ZrLVkTovlFX+2i30HGdvrswTQds9sz6LO7tDc4ZI3WkvQv6XdwQNf+2U+f3am5f9Tt3aG56LEbCuRUm9ZaNb9fc5Gqls3ps//Tgj7busX/0Gebt9Ra8ss7te9Ax9Y8oONv2VpzY9zU/EH6rIcNvvOXmhsT2PtH3f3aG9zm1I0E4qGeyfTZ+VH02ZOtdGzE/efosxHUVxJWNiaJPpvWgT5rE2z04Q5p9NmkMfRZV0sj6LPn7tex4lYn6bNR8+mzyT11bIRGAMIFIJoBiB8CED4AUQUgtACED0BUAQgtAFEFIHwAQgxA+ACEGoBwAYhmAOKHZmbSZ79aTJ81x+rYiGgdl4A/Jr/fj6LVG+mzp96lzzr6OOjD71K/tS+2YTV91lX6x/TZwmgdK44102cXf0WfzZypYyM08jcQhAwdgCDkIQBByEMAgpCHAAQhDwEIQh4yJBDH7uPEQT0rrdemoOuNujN17R/f7Uz/Ajk8+b2/ZhPmqia3bR52jTp/rN8Xdsps/ocPVzJmjb6vaV+Lt3nnLPts5Puhh+nbHVQRHxR9+5K6M/XsS5/uTL8CKX2+ki3vTBg8PK4i7/EZxPljr1hJ687utlkQH6e1Ey0HHxjtZb569uLvHCyzK327gynqg6JrX1J3pp596dud6VcgK6MYuywQfl/7u1LG4ubT5que+5a67ovS45RmYyyxu9d5eTazWT7bNYy+3cEU9UHRsy917Ew9+9KXO9OvQCaOEo8GbzpDmi3uV0ybT2+5/OUX95Bm5cdJqtdMr/PybGWHhz4eU6pru4MmHQ8KeV/q2Jl69qUvd6ZfgcQkiv/X5ARhsiq+V/c9tPlpTQ87pt9bQpmteVCzupR7Xbdzdn/nX7bdpWO7gyjyg6JjX+rYmXr2pS93pl+BjB0u/t/txJe5Sb7DSpof0Y2x8psPU2arH1RrD5P3bZFnD79WaRtxe56u7Q6W9Dwo1H2pY2fq2Ze+3Jl+BbKwB2OWllXeB6Wf5swW8knzM18R/8n8yRXKrPNBtcX9SNgWeXbMQsYq7r5E3u5givqg6NmXOnamnn3py53pVyCmFha2cSxhMC6HsWWjaPNZzUvYoZcdlNkLQgVj9qH7zGazzdu8PLs4nrHzXejbHUxRHxQ9+1LHztSzL325M/17HWR9/zkTKwhzqV3HLVhHnd84YP44M2X2swFCwtdsuCC1z8u8c9b+TuLiqfn07Q6qiA+Krn1J3pl69qVPd6Yhr6QjdKMCEIQ8BCAIeQhAEPIQgCDkIQBByEMAgpCHAAQhDwEIQh4CEIQ8BCAIeQhAEPIQgCDkIQBByEMAgpCHAKSe2eyVdi8jJbsmK974omLf+x7ewKPu0qoTi7Ze19YhXwUg9Wx5J2GAfOPgoJt7bmHMPjyeH/nsL8LZ2j/t7ivs0F5d3aXZY0OSrnP7ypzvTWXq8PV1rijIA5D6dihEWOa89UgZY44Bv8tWjWxTAmHnPQHhlzZPcj9W/FK7lXkjvG/d7hZHpA/Xnu1uVS1qed7716PqAKS+Zb3e/vaD8q3fiz4mzHJzwLWjDpBsj0C4pS2S3I8t3jn3ubYHvW/dSuGy+P/20AXqV6nNGlTk/etRdQBS37IjzjRpJb+azB9EIBVHS9Qj+oHkS6++UVGkDYTaOkHanjy3715ahdfppgcg9S07gm0UXpGe0CKQlF+IFj667b6/s4J3bh5n+/Ct6E7fKIFkD+/0TD+JQM0iqR8HP/Kz3sWKpYueCbGyQ6/etUwCsvV/f9LhiGJof+82945y/dGxbHjMi2OcKFeHPl7c8642SeW1n/6srdC8RUbN8OrIIS9H13zYHnaftFWZbyhXh7QCkPomAmGjhSQmA2HJkoWopuKZceZg+8uTxWOhJldqgfzrzwUsv79IwLVIqstF9s0dHyqWOiYL4hnDCencpsXvpx3b/GCLYtfQB6FWx+6Orj++08/Bch75k/xyT6f+7+6oDenvhAxSfDpFKHPdwbE2dlYZXvPBPFHaKml1X9euDmkFIPVNAlLZMeQLJ5Dt0rPugLCesYmnNwvikY1J+LcLSPFte5nzIMq1SF6D+L/XwxRL2SoJiE0G0l/83GZhXc3QkZBc8cb6mj+eCZHeXjtF2CKvaNKt0reTY4T82k/LQKqHNzTJcIi3qz+wNHGruNUhzQCkvklAmOn+n2fJQGQLjme6MnsMmyCERsWMen2LC8gOIZ85CbgWSdk+jY55urNiKftUAlIpA0kSP1csLKwZmtqEKb8mRbgo/uGSMEn+5NRm0v9vEU7WfloGUj1c8JTw0Jvbaz7IWzWt7uqQZgBS32QgLP3mZ8pcQNgyIWvLDjZeKHSO1ABJFqQXFz8jKBaJFT810sqG/FmxVARiUQIpEjJrhiYIVuXXLBIOiX+qEObJa3IC2XxvVe2nJSA1w6xix4hWwuaaD9JWvVt3dUgzAKlvWeHyh1nCwFog15okvuMQD5RWOUdqgBwWpMP8TSIB1yKx5YJ4dhzxZ8VStkH6F+CoBKRpkvi5z5+x1QytE5YrvyZDmCX+6UzIUXlNTiCxkxWfThGuuYb3ZonqHp1V/UHeqg11V4c0A5D69t1r8gdHT0E6XPlckN9pL+6e+YyVP3735rLypZdrPsmqOt+9qeQ/fcRTA9cisX8Ki3I+eKKTYinbLwy/nD5MENdx+wvnHGdePe0aqnzuno224m9q/uh4+f5s5hg62rkpU2+aV2FfEV6p+PQmIXnHwurhBUsYK3j8fPUH8VDsOKt8oc7qkGYAUs+WdmjylvRK46y47a2MrXxR+Gua+IcTt0gnv4WDWz/Ya5Prk4zlRja/e2K20HFlzSKpktfueuXCGz+fpVjqiGt2b0Ku8PQKe9deP2s/zKIYssQ9dPdTK11/tA5/JmbC6uoLGlNv//VPf79G+oPr05bf3RV3rXo49Q+/fWvIEVb9YWVHaauKhj3c9LlVrtUhrQDkuivZd2MuvKWt11riPMRC/ghADNPs9rEaSwDEfwGIcVql5QBA/BeAGKVvY3p8obFowk9u6JYEVQBi/N5/VBhysqE3orEGIAh5CEAQ8hCAIOQhAEHIQwCCkIcABCEPAQhCHgIQhDwEIAh5CEAQ8hCAIOQhAEHIQ/8Pp7GtJa4tvJIAAAAASUVORK5CYII=" title alt style="display: block; margin: auto;" /></p>
+<pre class="r"><code>## Testando o termo offset
+
+##======================================================================
+## offset 2 e lambda = 5
+trat <- rep(letters[1:3], 30)
+X <- model.matrix(~trat)
+betas <- c(-0.5, -2, 1.5)
+lambdas <- exp(X %*% betas)
+y <- rpois(nrow(X), lambda = lambdas * 2)
+
+kk <- data.frame(trat = trat, o = 2, y = y)
+kkm <- cmp(y ~ offset(log(o)) + trat, data = kk, sumto = 50)
+kkg <- glm(y ~ offset(log(o)) + trat, data = kk, family = poisson)
+
+cbind(coef(kkm), c(NA, coef(kkg)))
+
+##======================================================================</code></pre>
+<!--==================================================================== -->
+<!---->
+</div>
+</div>
+<div id="capulhos-de-algodao-sob-efeito-de-desfolha" class="section level1">
+<h1>Capulhos de algodão sob efeito de desfolha</h1>
+<pre class="r"><code>data(capdesfo)
+str(capdesfo)</code></pre>
+<pre><code>## 'data.frame': 125 obs. of 4 variables:
+## $ est : Factor w/ 5 levels "vegetativo","botão floral",..: 1 1 1 1 1 1 1 1 1 1 ...
+## $ des : num 0 0 0 0 0 0.25 0.25 0.25 0.25 0.25 ...
+## $ rept: int 1 2 3 4 5 1 2 3 4 5 ...
+## $ ncap: int 10 9 8 8 10 11 9 10 10 10 ...</code></pre>
+<pre class="r"><code>## help(capdesfo)</code></pre>
+<p>Experimento conduzido sob delineamento inteiramente casualizado em casa de vegetação onde avaliou-se o número de capulhos produzidos por plantas de algodão submetidas à níveis de desfolha artificial de remoção foliar em combinação com o estágio fenológico no qual a desfolha foi aplicada.</p>
+<ul>
+<li><code>est</code>: Estágio fenológico com cinco níveis (vegetativo, botão floral, florecimento, maça, capulho);</li>
+<li><code>des</code>: Nível de desfolha artificial de remoção foliar (0, 25, 50, 75, 100%);</li>
+<li><code>ncap</code>: Número de capulhos de algodão produzidos ao final da ciclo cultura.</li>
+</ul>
+<div id="analise-exploratoria-2" class="section level2">
+<h2>Análise Exploratória</h2>
<pre class="r"><code>## Experimento balanceado
-xtabs(~dexp, data = capmosca)</code></pre>
-<pre><code>## dexp
-## 0 1 2 3 4 5
-## 5 5 5 5 5 5</code></pre>
-<pre class="r"><code>(xy <- xyplot(ncap ~ dexp,
- data = capmosca,
- xlab = "Dias de infestação",
- ylab = "Número de capulhos produzidos",
- type = c("p", "g", "smooth"),
- panel = panel.beeswarm,
- r = 0.05))</code></pre>
-<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+xtabs(~est + des, data = capdesfo)</code></pre>
+<pre><code>## des
+## est 0 0.25 0.5 0.75 1
+## vegetativo 5 5 5 5 5
+## botão floral 5 5 5 5 5
+## florecimento 5 5 5 5 5
+## maça 5 5 5 5 5
+## capulho 5 5 5 5 5</code></pre>
+<pre class="r"><code>(xy <- xyplot(ncap ~ des | est,
+ data = capdesfo,
+ xlab = "Nível de desfolha artificial",
+ ylab = "Número de capulhos produzidos",
+ type = c("p", "g", "smooth"),
+ panel = panel.beeswarm,
+ r = 0.05))</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
<pre class="r"><code>## Avaliando preliminarmente suposição de equidispersão
-(mv <- aggregate(ncap ~ dexp, data = capmosca,
+(mv <- aggregate(ncap ~ est + des, data = capdesfo,
FUN = function(x) c(mean = mean(x), var = var(x))))</code></pre>
-<pre><code>## dexp ncap.mean ncap.var
-## 1 0 8.8 1.7
-## 2 1 7.8 4.7
-## 3 2 6.8 5.2
-## 4 3 6.8 1.7
-## 5 4 7.4 2.3
-## 6 5 7.6 2.3</code></pre>
+<pre><code>## est des ncap.mean ncap.var
+## 1 vegetativo 0.00 9.0 1.0
+## 2 botão floral 0.00 8.4 1.3
+## 3 florecimento 0.00 9.4 2.8
+## 4 maça 0.00 8.6 1.8
+## 5 capulho 0.00 10.0 4.0
+## 6 vegetativo 0.25 10.0 0.5
+## 7 botão floral 0.25 9.4 3.3
+## 8 florecimento 0.25 5.8 1.2
+## 9 maça 0.25 7.0 2.0
+## 10 capulho 0.25 10.0 3.5
+## 11 vegetativo 0.50 8.6 0.8
+## 12 botão floral 0.50 8.8 0.7
+## 13 florecimento 0.50 5.8 1.7
+## 14 maça 0.50 8.8 2.2
+## 15 capulho 0.50 8.2 1.2
+## 16 vegetativo 0.75 8.0 1.0
+## 17 botão floral 0.75 8.8 2.7
+## 18 florecimento 0.75 6.0 2.5
+## 19 maça 0.75 6.2 0.2
+## 20 capulho 0.75 8.8 1.2
+## 21 vegetativo 1.00 6.2 1.2
+## 22 botão floral 1.00 7.2 0.2
+## 23 florecimento 1.00 4.6 0.3
+## 24 maça 1.00 3.0 0.5
+## 25 capulho 1.00 9.0 1.0</code></pre>
+<pre class="r"><code>xlim <- ylim <- extendrange(c(mv$ncap), f = 0.05)
+xyplot(ncap[, "var"] ~ ncap[, "mean"],
+ data = mv,
+ xlim = xlim, ylim = ylim,
+ ylab = "Variância Amostral",
+ xlab = "Média Amostral",
+ panel = function(x, y) {
+ panel.xyplot(x, y, type = c("p", "r"), grid = TRUE)
+ panel.abline(a = 0, b = 1, lty = 2)
+ })</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
</div>
-<div id="ajuste-dos-modelos-1" class="section level2">
+<div id="ajuste-dos-modelos-2" class="section level2">
<h2>Ajuste dos modelos</h2>
<pre class="r"><code>## Preditores considerados
f1 <- ncap ~ 1
-f2 <- ncap ~ dexp
-f3 <- ncap ~ dexp + I(dexp^2)
+f2 <- ncap ~ des + I(des^2)
+f3 <- ncap ~ est:des + I(des^2)
+f4 <- ncap ~ est:(des + I(des^2))
## Ajustando os modelos Poisson
-m1P <- glm(f1, data = capmosca, family = poisson)
-m2P <- glm(f2, data = capmosca, family = poisson)
-m3P <- glm(f3, data = capmosca, family = poisson)
+m1P <- glm(f1, data = capdesfo, family = poisson)
+m2P <- glm(f2, data = capdesfo, family = poisson)
+m3P <- glm(f3, data = capdesfo, family = poisson)
+m4P <- glm(f4, data = capdesfo, family = poisson)
## Ajustando os modelos COM-Poisson
-m1C <- cmp(f1, data = capmosca)
-m2C <- cmp(f2, data = capmosca)
-m3C <- cmp(f3, data = capmosca)</code></pre>
+m1C <- cmp(f1, data = capdesfo)
+m2C <- cmp(f2, data = capdesfo)
+m3C <- cmp(f3, data = capdesfo)
+m4C <- cmp(f4, data = capdesfo)</code></pre>
</div>
-<div id="comparacao-dos-ajustes-1" class="section level2">
+<div id="comparacao-dos-ajustes-2" class="section level2">
<h2>Comparação dos ajustes</h2>
<pre class="r"><code>## Verossimilhancas dos modelos ajustados
-cbind("Poisson" = sapply(list(m1P, m2P, m3P), logLik),
- "COM-Poisson" = sapply(list(m1C, m2C, m3C), logLik))</code></pre>
+cbind("Poisson" = sapply(list(m1P, m2P, m3P, m4P), logLik),
+ "COM-Poisson" = sapply(list(m1C, m2C, m3C, m4C), logLik))</code></pre>
<pre><code>## Poisson COM-Poisson
-## [1,] -63.76981 -58.77209
-## [2,] -63.52399 -58.13540
-## [3,] -62.93611 -56.49274</code></pre>
+## [1,] -279.9328 -272.4794
+## [2,] -271.3543 -256.0893
+## [3,] -258.6741 -220.1977
+## [4,] -255.8031 -208.2500</code></pre>
<pre class="r"><code>## Teste de razão de verossimilhanças
-anova(m1P, m2P, m3P, test = "Chisq")</code></pre>
+anova(m1P, m2P, m3P, m4P, test = "Chisq")</code></pre>
<pre><code>## Analysis of Deviance Table
##
## Model 1: ncap ~ 1
-## Model 2: ncap ~ dexp
-## Model 3: ncap ~ dexp + I(dexp^2)
-## Resid. Df Resid. Dev Df Deviance Pr(>Chi)
-## 1 29 11.993
-## 2 28 11.501 1 0.49164 0.4832
-## 3 27 10.325 1 1.17575 0.2782</code></pre>
-<pre class="r"><code>anova(m1C, m2C, m3C)</code></pre>
+## Model 2: ncap ~ des + I(des^2)
+## Model 3: ncap ~ est:des + I(des^2)
+## Model 4: ncap ~ est:(des + I(des^2))
+## Resid. Df Resid. Dev Df Deviance Pr(>Chi)
+## 1 124 75.514
+## 2 122 58.357 2 17.157 0.0001881 ***
+## 3 118 32.997 4 25.360 4.258e-05 ***
+## 4 114 27.255 4 5.742 0.2192611
+## ---
+## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
+<pre class="r"><code>anova(m1C, m2C, m3C, m4C)</code></pre>
<pre><code>## Likelihood Ratio Tests
## Model 1: m1C, [llcmp]: phi+(Intercept)
-## Model 2: m2C, [llcmp]: phi+(Intercept)+dexp
-## Model 3: m3C, [llcmp]: phi+(Intercept)+dexp+I(dexp^2)
-## Tot Df Deviance Chisq Df Pr(>Chisq)
-## 1 2 117.54
-## 2 3 116.27 1.2734 1 0.2591
-## 3 4 112.98 3.2853 1 0.0699 .
+## Model 2: m2C, [llcmp]: phi+(Intercept)+des+I(des^2)
+## Model 3: m3C, [llcmp]: phi+(Intercept)+I(des^2)+
+## estvegetativo:des+estbotão floral:des+
+## estflorecimento:des+estmaça:des+estcapulho:des
+## Model 4: m4C, [llcmp]: phi+(Intercept)+estvegetativo:des+
+## estbotão floral:des+estflorecimento:des+estmaça:des+
+## estcapulho:des+estvegetativo:I(des^2)+estbotão
+## floral:I(des^2)+estflorecimento:I(des^2)+
+## estmaça:I(des^2)+estcapulho:I(des^2)
+## Tot Df Deviance Chisq Df Pr(>Chisq)
+## 1 2 544.96
+## 2 4 512.18 32.780 2 7.619e-08 ***
+## 3 8 440.40 71.783 4 9.537e-15 ***
+## 4 12 416.50 23.895 4 8.382e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
<pre class="r"><code>## Estimativas dos parâmetros
-summary(m3P)</code></pre>
+summary(m4P)</code></pre>
<pre><code>##
## Call:
-## glm(formula = f3, family = poisson, data = capmosca)
+## glm(formula = f4, family = poisson, data = capdesfo)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
-## -1.72211 -0.32208 0.01768 0.34877 1.13445
+## -1.06976 -0.31729 -0.02347 0.34779 1.27069
##
## Coefficients:
-## Estimate Std. Error z value Pr(>|z|)
-## (Intercept) 2.17571 0.13842 15.718 <2e-16 ***
-## dexp -0.16923 0.13586 -1.246 0.213
-## I(dexp^2) 0.02870 0.02638 1.088 0.277
+## Estimate Std. Error z value Pr(>|z|)
+## (Intercept) 2.189560 0.063333 34.572 <2e-16 ***
+## estvegetativo:des 0.436859 0.515560 0.847 0.3968
+## estbotão floral:des 0.289715 0.507751 0.571 0.5683
+## estflorecimento:des -1.242481 0.603706 -2.058 0.0396 *
+## estmaça:des 0.364871 0.565803 0.645 0.5190
+## estcapulho:des 0.008949 0.503760 0.018 0.9858
+## estvegetativo:I(des^2) -0.805215 0.583915 -1.379 0.1679
+## estbotão floral:I(des^2) -0.487850 0.566394 -0.861 0.3891
+## estflorecimento:I(des^2) 0.672837 0.680195 0.989 0.3226
+## estmaça:I(des^2) -1.310346 0.672780 -1.948 0.0515 .
+## estcapulho:I(des^2) -0.019970 0.552505 -0.036 0.9712
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for poisson family taken to be 1)
##
-## Null deviance: 11.993 on 29 degrees of freedom
-## Residual deviance: 10.325 on 27 degrees of freedom
-## AIC: 131.87
+## Null deviance: 75.514 on 124 degrees of freedom
+## Residual deviance: 27.255 on 114 degrees of freedom
+## AIC: 533.61
##
## Number of Fisher Scoring iterations: 4</code></pre>
-<pre class="r"><code>summary(m3C)</code></pre>
+<pre class="r"><code>summary(m4C)</code></pre>
<pre><code>## Maximum likelihood estimation
##
## Call:
@@ -747,92 +1663,109 @@ summary(m3P)</code></pre>
## X = X, offset = off, sumto = sumto), vecpar = TRUE)
##
## Coefficients:
-## Estimate Std. Error z value Pr(z)
-## phi 1.125858 0.261906 4.2987 1.718e-05 ***
-## (Intercept) 6.824427 1.817389 3.7551 0.0001733 ***
-## dexp -0.499138 0.266245 -1.8747 0.0608297 .
-## I(dexp^2) 0.084627 0.050231 1.6848 0.0920312 .
+## Estimate Std. Error z value Pr(z)
+## phi 1.584744 0.127631 12.4166 < 2.2e-16 ***
+## (Intercept) 10.896662 1.404311 7.7594 8.531e-15 ***
+## estvegetativo:des 2.018744 1.140780 1.7696 0.0767909 .
+## estbotão floral:des 1.343071 1.109168 1.2109 0.2259408
+## estflorecimento:des -5.750451 1.479861 -3.8858 0.0001020 ***
+## estmaça:des 1.594963 1.229254 1.2975 0.1944575
+## estcapulho:des 0.037655 1.088012 0.0346 0.9723918
+## estvegetativo:I(des^2) -3.724525 1.341954 -2.7754 0.0055125 **
+## estbotão floral:I(des^2) -2.264721 1.254650 -1.8051 0.0710650 .
+## estflorecimento:I(des^2) 3.134664 1.504387 2.0837 0.0371891 *
+## estmaça:I(des^2) -5.894333 1.611937 -3.6567 0.0002555 ***
+## estcapulho:I(des^2) -0.090110 1.193331 -0.0755 0.9398080
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
-## -2 log L: 112.9855</code></pre>
+## -2 log L: 416.4999</code></pre>
</div>
-<div id="avaliando-modelo-proposto-1" class="section level2">
+<div id="avaliando-modelo-proposto-2" class="section level2">
<h2>Avaliando modelo proposto</h2>
<pre class="r"><code>## Um dos problemas computacionais do modelo COM-Poisson é a obtenção da
## constante de normalização Z. Assim uma visualização pós ajuste para
## verificar se o ajuste proporcionou uma densidade válida se faz
## necessária
-convergencez(m3C)</code></pre>
-<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+convergencez(m4C)</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
<pre class="r"><code>## Dado que o modelo COM-Poisson leva as mesmas estimativas pontuais que
## o modelo Poisson a análise de diagnóstico padrão pode ser utilizada
par(mfrow = c(2, 2))
-plot(m3P)</code></pre>
-<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+plot(m4P)</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
<pre class="r"><code>##-------------------------------------------
## Testando a nulidade do parâmetro phi
## Usando o ajuste Poisson
-trv <- 2 * (logLik(m3C) - logLik(m3P))
+trv <- 2 * (logLik(m4C) - logLik(m4P))
attributes(trv) <- NULL
round(c(trv, pchisq(trv, 1, lower = FALSE)), digits = 5)</code></pre>
-<pre><code>## [1] 12.88675 0.00033</code></pre>
+<pre><code>## [1] 95.10632 0.00000</code></pre>
<pre class="r"><code>## Reajustando o COM-Poisson para phi = 0 (ou equivalente nu = 1)
-m3Cfixed <- cmp(f3, data = capmosca, fixed = list("phi" = 0))
-anova(m3C, m3Cfixed)</code></pre>
+m4Cfixed <- cmp(f4, data = capdesfo, fixed = list("phi" = 0))
+anova(m4C, m4Cfixed)</code></pre>
<pre><code>## Likelihood Ratio Tests
-## Model 1: m3C, [llcmp]: phi+(Intercept)+dexp+I(dexp^2)
-## Model 2: m3Cfixed, [llcmp]: (Intercept)+dexp+I(dexp^2)
+## Model 1: m4C, [llcmp]: phi+(Intercept)+estvegetativo:des+
+## estbotão floral:des+estflorecimento:des+estmaça:des+
+## estcapulho:des+estvegetativo:I(des^2)+estbotão
+## floral:I(des^2)+estflorecimento:I(des^2)+
+## estmaça:I(des^2)+estcapulho:I(des^2)
+## Model 2: m4Cfixed, [llcmp]: (Intercept)+estvegetativo:des+
+## estbotão floral:des+estflorecimento:des+estmaça:des+
+## estcapulho:des+estvegetativo:I(des^2)+estbotão
+## floral:I(des^2)+estflorecimento:I(des^2)+
+## estmaça:I(des^2)+estcapulho:I(des^2)
## Tot Df Deviance Chisq Df Pr(>Chisq)
-## 1 4 112.98
-## 2 3 125.87 12.887 1 0.0003309 ***
+## 1 12 416.50
+## 2 11 511.61 95.106 1 < 2.2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</code></pre>
<pre class="r"><code>## Via perfil de log-verossimilhança
-perf <- profile(m3C, which = 1)
+perf <- profile(m4C, which = 1)
confint(perf)</code></pre>
-<pre><code>## 2.5 % 97.5 %
-## 0.5622126 1.5977357</code></pre>
+<pre><code>## 2.5 % 97.5 %
+## 1.323326 1.824516</code></pre>
<pre class="r"><code>plot(perf)</code></pre>
-<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
<pre class="r"><code>##-------------------------------------------
## Verificando a matriz ve variâncias e covariâncias
-Vcov <- vcov(m3C)
+Vcov <- vcov(m4C)
Corr <- cov2cor(Vcov)
library(corrplot)
corrplot.mixed(Corr, lower = "number", upper = "ellipse",
diag = "l", tl.pos = "lt", tl.col = "black",
tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])</code></pre>
-<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
</div>
-<div id="predicao-1" class="section level2">
+<div id="predicao-2" class="section level2">
<h2>Predição</h2>
<pre class="r"><code>## Predição pontual/intervalar
-pred <- with(capmosca,
+pred <- with(capdesfo,
expand.grid(
- dexp = seq(min(dexp), max(dexp), l = 50)
+ est = levels(est),
+ des = seq(min(des), max(des), l = 20)
))
qn <- qnorm(0.975) * c(fit = 0, lwr = -1, upr = 1)
##-------------------------------------------
## Considerando a Poisson
-aux <- predict(m3P, newdata = pred, se.fit = TRUE)
+aux <- predict(m4P, newdata = pred, se.fit = TRUE)
aux <- with(aux, exp(fit + outer(se.fit, qn, FUN = "*")))
aux <- data.frame(modelo = "Poisson", aux)
predP <- cbind(pred, aux)
##-------------------------------------------
## Considerando a COM-Poisson
-f3; f3[[2]] <- NULL; f3</code></pre>
-<pre><code>## ncap ~ dexp + I(dexp^2)</code></pre>
-<pre><code>## ~dexp + I(dexp^2)</code></pre>
-<pre class="r"><code>X <- model.matrix(f3, data = pred)
+f4; f4[-2]</code></pre>
+<pre><code>## ncap ~ est:(des + I(des^2))</code></pre>
+<pre><code>## ~est:(des + I(des^2))</code></pre>
+<pre class="r"><code>X <- model.matrix(f4[-2], data = pred)
## Obtendo os parâmetros da distribuição (lambdas e phi)
-betas <- coef(m3C)[-1]
-phi <- coef(m3C)[1]
+betas <- coef(m4C)[-1]
+phi <- coef(m4C)[1]
loglambdas <- X %*% betas
## Obtendo os erros padrão das estimativas
@@ -849,7 +1782,7 @@ aux <- c(loglambdas) + outer(se, qn, FUN = "*")
aux <- apply(aux, MARGIN = 2,
FUN = function(col) {
sapply(col, FUN = function(p) {
- y <- 0:30; py <- dcmp(y, p, phi, sumto = 50)
+ y <- 0:50; py <- dcmp(y, p, phi, sumto = 100)
sum(y*py)
})
})
@@ -860,19 +1793,22 @@ predC <- cbind(pred, aux)
## Visualizando os valores preditos intervalares pelos dois modelos
da <- rbind(predP, predC)
-update(xy, type = c("p", "g")) +
- as.layer(xyplot(fit ~ dexp,
+## Gráfico dos valores preditos e IC de 95% para média
+update(xy, type = c("p", "g"), key = key, alpha = 0.7) +
+ as.layer(xyplot(fit ~ des | est,
groups = modelo,
data = da,
type = "l",
ly = da$lwr,
uy = da$upr,
cty = "bands",
- alpha = 0.3,
+ alpha = 0.5,
prepanel = prepanel.cbH,
panel.groups = panel.cbH,
panel = panel.superpose))</code></pre>
-<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<!--==================================================================== -->
+<!---->
</div>
</div>
<div id="ocorrencia-de-ninfas-de-mosca-branca-em-variedades-de-soja" class="section level1">
@@ -909,7 +1845,12 @@ str(ninfas)</code></pre>
## $ ntot : int 278 98 71 38 81 20 42 137 184 76 ...
## $ aval : Factor w/ 6 levels "0","8","13","22",..: 1 1 1 1 1 1 1 1 1 1 ...</code></pre>
<p>Assim as variáveis consideradas são definidas como:</p>
-<div id="analise-exploratoria-2" class="section level2">
+<ul>
+<li><code>bloco</code>: Fator com 4 níveis que representam os blocos utilizados para controle de variação local.</li>
+<li><code>cult</code>: Fator com a identificação da cultivar de soja. Foram 4 cultivares (com prefixo BRS).</li>
+<li><code>aval</code>: Fator que indica o número de dias, após o início do experimento em que realizou-se as avaliações. Houve avaliações em 6 datas.</li>
+</ul>
+<div id="analise-exploratoria-3" class="section level2">
<h2>Análise Exploratória</h2>
<pre class="r"><code>## Experimento balanceado
xtabs(~aval + cult, data = ninfas)</code></pre>
@@ -957,17 +1898,16 @@ xtabs(~aval + cult, data = ninfas)</code></pre>
<pre class="r"><code>xlim <- ylim <- extendrange(c(mv$ntot), f = 0.05)
xyplot(ntot[, "var"] ~ ntot[, "mean"],
data = mv,
- xlim = xlim,
- ylim = ylim,
+ ## xlim = xlim, ylim = ylim,
ylab = "Variância Amostral",
xlab = "Média Amostral",
panel = function(x, y) {
panel.xyplot(x, y, type = c("p", "r"), grid = TRUE)
panel.abline(a = 0, b = 1, lty = 2)
})</code></pre>
-<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
+<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAJYCAMAAACtqHJCAAADAFBMVEUAAAABAQECAgIDAwMEBAQFBQUGBgYHBwcICAgJCQkKCgoLCwsMDAwNDQ0ODg4PDw8QEBARERESEhITExMUFBQVFRUWFhYXFxcYGBgZGRkaGhobGxscHBwdHR0eHh4fHx8gICAhISEiIiIjIyMkJCQlJSUmJiYnJycoKCgpKSkqKiorKyssLCwtLS0uLi4vLy8wMDAxMTEyMjIzMzM0NDQ1NTU2NjY3Nzc4ODg5OTk6Ojo7Ozs8PDw9PT0+Pj4/Pz9AQEBBQUFCQkJDQ0NERERFRUVGRkZHR0dISEhJSUlKSkpLS0tMTExNTU1OTk5PT09QUFBRUVFSUlJTU1NUVFRVVVVWVlZXV1dYWFhZWVlaWlpbW1tcXFxdXV1eXl5fX19gYGBhYWFiYmJjY2NkZGRlZWVmZmZnZ2doaGhpaWlqampra2tsbGxtbW1ubm5vb29wcHBxcXFycnJzc3N0dHR1dXV2dnZ3d3d4eHh5eXl6enp7e3t8fHx9fX1+fn5/f3+AgICBgYGCgoKDg4OEhISFhYWGhoaHh4eIiIiJiYmKioqLi4uMjIyNjY2Ojo6Pj4+QkJCRkZGSkpKTk5OUlJSVlZWWlpaXl5eYmJiZmZmampqbm5ucnJydnZ2enp6fn5+goKChoaGioqKjo6OkpKSlpaWmpqanp6eoqKipqamqqqqrq6usrKytra2urq6vr6+wsLCxsbGysrKzs7O0tLS1tbW2tra3t7e4uLi5ubm6urq7u7u8vLy9vb2+vr6/v7/AwMDBwcHCwsLDw8PExMTFxcXGxsbHx8fIyMjJycnKysrLy8vMzMzNzc3Ozs7Pz8/Q0NDR0dHS0tLT09PU1NTV1dXW1tbX19fY2NjZ2dna2trb29vc3Nzd3d3e3t7f39/g4ODh4eHi4uLj4+Pk5OTl5eXm5ubn5+fo6Ojp6enq6urr6+vs7Ozt7e3u7u7v7+/w8PDx8fHy8vLz8/P09PT19fX29vb39/f4+Pj5+fn6+vr7+/v8/Pz9/f3+/v7////isF19AAAACXBIWXMAAA9hAAAPYQGoP6dpAAAgAElEQVR4nO3dCXwTZcLH8YgHrkovjhZQbiiHXKKAVvGgXmtFVsVjNeJZxSMqHuVl3UZ0cVFXjauLoqJGZVVE0OoqWnV1RVBBCsglCAWhFGhpS2kK9MjzPpMUnKSTeeZ4njyZ8v9+PpspncnMY3d+bZInh4sAQEwu2QMASGQIBEAHAgHQgUAAdCAQAB0IBEAHAgHQgUAAdCAQAB0IBEAHAgHQgUAAdCAQAB0IBEAHAgHQgUAAdCAQAB0IBEAHAgHQgUAAdCAQAB0IBEAHAgHQgUAAdCAQAB0IBEAHAgHQgUAAdCAQAB0IBEAHAgHQgUAAdCAQAB0IBEAHAgHQgUAAdCAQAB0IBEAHAgHQISOQZQ9LOKgd/3lZ9ghMmvGp7BGYlL9c9ghikRHI+xdIOKgdT9whewQm3faU7BGYdN482SOIBYEYgEBEQyBqCEQ0BMINAjEAgYiGQNQQiGgIhBsEYgACEQ2BqCEQ0RAIN4ICWdsuNbY2x+qsTETHOW3Axx4newQmHdsmzgdst1ZuIAv6b4ht1RKdlYloxVLZIzBp6QrZIzBpyao4H7D/AsmBDNVZuXeXmIMKU1MlewQmVdXIHoFJu/bG+YBDEQhHCEQ0BKKGQERDICwIhCcEIhoCUUMgoiEQFv6BBE0dH4FIhUBYeAey68nu9YTsyW2f5q4mpGjK1DHF0YsICEQqBMLCOZDiiz9w0UBm51cv6fQgqR1eT2ZmRy0iIRCpEAgL95tYW5RA5tcRMvkSMusGQkpc1ZGLyM0RiFQIhEVMIIrLnyL5D9C7JK3WRS4iN0cgUiEQFmGBbDx3H5kwmX6RtCpyEd6stn+PkE49d8S2vVRnZSJy3IBLt8segUlxH3C/geETdUAt30D2jC0lZJKHftW6PHLRtN3m8FNdZg9siC1QrrMyEVVXyh6BSZXVskdgUnkgzgccODt8om5mnfjmAqm7axO9nD6WkOqMxshF5Oa4iSUVbmKxcL+Jtdm1n5CGOxaVlZXVlaZXk7mTSOQiEgKRCoGw8A7kwxtd935NPC7FIjJnvC+f9hK5iIBApEIgLHiqCU8IRDQEooZAREMgLAiEJwQiGgJRQyCiIRAWBMITAhENgaghENEQCAsC4QmBiIZA1BCIaAiEBYHwhEBEQyBqCEQ0foEU3Od5vZ7XzmJDIGoIRDRegQSv7jX1HyNPCfDZmw4EooZAROMVyKsDa2kll93DZ286EIgaAhGNVyBj/crl0u589qYDgaghENF4BXLuB8plcQc+e9OBQNQQiGi8AnngFuXyuej3rOEPgaghENF4BVLe+eGy6plpS/jsTQcCUUMgonF7mPeXnDZHn/Ytp53pQCBqCEQ0TBSyIBCeEIhoCEQNgYiGQFgQCE8IRDQEooZAREMgLAiEJwQiGgJRQyCiIRAWBMITAhENgaghENEQCAsC4QmBiIZA1BCIaAiEBYHwhEBEQyBqCEQ0BMKCQHhCIKIhEDUEIhoCYUEgPCEQ0RCIGgIRDYGwIBCeEIhoCEQNgYiGQFgQCE8IRDQEooZAREMgLAiEJwQiGgJRQyCiIRAWBMITAhENgaghENEQCAsC4QmBiIZA1BCIaAiEBYHwhEBEQyBqCEQ0BMKCQHhCIKIhEDUEIhoCYUEgPCEQ0RCIGgIRDYGwIBCeEIhoCEQNgYiGQFgQCE8IRDQEooZAREMgLAiEJwQiGgJRQyCiIRAWBMITAhENgaghENEQCAsC4QmBiIZA1BCIaAiEBYHwhEBEQyBqCEQ0BMKCQHhCIKIhEDUEIhoCYeEfSNDU8RGIVAiEhXcgu57sXk8XRVOmjimOsYiAQKRCICycAym++AMXDaR2eD2Zma29iIRApEIgLNxvYm1RApl1AyElrmrNReTmCEQqBMIiJpD8B+h9kVbrNBfhzRp800Im9N4TW+VOnZWJqKJM9ghMKtslewQm7ayM8wEz7wyfqM828AxkwmT6VdIqzUV4s/1/yQu5pmd1bBU7dFYmol1lskdgUtku2SMwaUdFnA/Y58bwifqX/TwDmeShX7Uu11xEbo6bWFLhJhaLmJtY08cSUp3RqLmI3ByBSIVAWLgHstlF/xaVpleTuZO0F5EQiFQIhIV3IB/e6Lr3a0LmjPfl74+xiIBApEIgLHiqCU8IRDQEooZAREMgLAiEJwQiGgJRQyCiIRAWBMITAhENgaghENGEBtL4Slavcwr47hOBqCEQ0YQGkjdw3mL/CS9z3ScCUUMgookMZG277fRyeUo1c0sTEIgaAhFNZCCvXR5aDPkfz50iEDUEIprIQPxjQ4uBC3nuFIGoIRDRRAayMUV57c9XbWt57hSBqCEQ0YTeSX+64zOfTEmdx3WfCEQNgYgmdh7kyytHXr+c7y4RiBoCEQ0ThSwIhCcEIhoCUUMgoiEQFgTCEwIRDYGoIRDREAgLAuEJgYiGQNQQiGgIhAWB8IRAREMgaghENATCgkB4QiCiIRA1BCIaAmFBIDwhENEQiBoCEQ2BsCAQnhCIaAhEDYGIhkBYEAhPCEQ0BKKGQERDICwIhCcEIhoCUUMgoiEQFgTCEwIRDYGoIRDREAgLAuEJgYiGQNQQiGgIhAWB8IRAREMgaghENATCgkB4QiCiIRA1BCIaAmFBIDwhENEQiBoCEQ2BsCAQnhCIaAhEDYGIhkBYEAhPCEQ0BKKGQERDICwIhCcEIhoCUUMgoiEQFgTCk8hAdn761R7uO0UgLAiEJ4GBPNbhjNM6vsN7rwiEBYHwJC6QNwaUELI8fTHn3SIQFgTCk7hATvpMufzHeM67RSAsCIQncYG036RcfnQO590iEBYEwpPwvyDXc94tAmFBIDyJvA+ymZCfcB8EgaghkN89ljJiSAc8ioVA1BCICuZBFAhEDYGIhkBYEAhPCES0uAcyBIFwhEBEi3Mg5d4j5hjcFIEYgEBEi2sgv7iTPf3xF4QjBCJaHANZkpPq3Y77IFwhENHiFsjCnHbTdhPcSecLgYgWn0CCBVnH+8I/GkGBfHj/41cWEVI0ZeqY4uhFBAQiFQLR0OAfnOnf3/QPMYFsOTVIvj+P1A6vJzOzoxaREIhUCKSZvb4epxQ0HvynmEC+b7uL/PdOMusGQkpc1ZGLyC0RiFQIJErNtIzsb9XfEBNI/RknPJdXS/IfoDfnWq2LXDRtUl0R8ungxthqy3VWJqI9lbJHYFLlHtkjMKm8VuTey/LbX/RN5LcGfxo+Uat1T3izgZAfsrv1+S+ZMJl+mbQqchHeoLaNK6zXNoCEsPSmpMu/jP7mgA7h8zStlmcgRTn1dRNbl0/y0K+jF5Fb4iaWVLiJddBad7JnY/Nvi7mJlTedkP3HbZ0+lt6UymiMXERuiUCkQiBNFuekendorRATyIt3E7LhXFKaXk3mTopaREIgUiGQkAXZGb7d2qvEBNJw3+QXH6Vn95zxvvz90YvIoSEQmRBIaFbwBF/MnwNm0nlCIKJxD6TeP6ivvy72egTCEwIRjXMge309hhc06m2BQHhCIKJxDaTKm57zLWMbBMITAhGNYyDlecnjfmJuhUB4QiCicQtkiyfF/bOB7RAITwhENE6BrHEne4oNbYlAeEIgonEJ5MecNO1ZQQ22Aplv8Lo6EIhUh2IgBVkdfcynHh5kOpCy9QetHGN6cM0gEKkOuUCCBVldZuwzcQXTgTzsUjE5Og0IRKpDLJB6/8B+erOCGkwH8tVFnxU2+WiUqUNpQiBSHVKB1Pq6j9CfFdRgOpDAh79/b5bJg2lAIFIdQoFUGpgV1GDrTvrT5o8XDYFIdcgEUupJcS+1ckVrgex+8qrs0aPPSrVyxEgIRKpDJJDfPMnuldYOaC2Qy47+0+Bbr+l/hbVjqiEQqQ6JQFa7kz2brB7QWiBJ35EJhDz+m9Wj/g6BSHUIBPJDTpp3p/UDWgukFyG5NaT0AuvHPQCBSNXiAynI6mRiVlCDtUBu2Ur+ff/uF46xc+QwBCJVyw4kOPuk3n4zs4IarAVSfG5x3SCX62J7x1YgEKlaciD1/hP7zzY77dGM9Yd5q155LWD36AhEspYbSK2v28iCoP0DWgtkxYboN1+wCoFI1VIDqfR2sDIrqMHio1h9jT5bmAWBSNUyA9nmSXEXcTqgtUDcD4UWz9s/PgKRqiUGsjk3yfMrtwNaC2T11dNXr1+/Msf+8RGIVC0vkFXuZM9mjge0Fkg3PN1dEwIRjRHI9zltvWVcD2hxHiRvfmFh4cdn2j8+ApGqZQVSkNXZt4fzAa0F8sRW5XLvW/aPj0CkMhdI7cy//GO9qKEYEzuQBv/QPn5eD67+zlog6aHLz++yf3wEIpWpQIq7j37k5pTXRI3FkFiB1M3oNcz0i6GMMB9I3bKSQIe9VM0bx9o/PgKRylQgZ3jpxbLUdaztRNIOJODreiqPWUEN5gPZm37wJemn2T8+ApHKTCDb24RezX3DU6IGY4RWIBXcZgU1WLiJ9c2s93q/qZhn62mSYQhEKjOB/NI5tMjzihmKMc0DKfGkuJeJO6C1+yAfxtrKNAQilZlA9iavoZeNp7wjbDQGRAeyzp3k2SDygNafrPjB0zwGhkCkMnUf5NkBi0n5zSPMvW0OZ5GBrBzXJq9U7AGtBZJ7TfF8V5/M5faPj0CkMhVI8Jn2x7b+s+ATkkEdyCLus4IarAVyfgO5rlt9xa32j49ApDI7UVgt4pFUMw4GEhQxK6jBWiC3kuAJ9xFym/3jIxCpnDqT3uAfkilgVlCDtUCubfjO9QUhI+wfH4FI5cxA9vl6nixkVlCDtUDe6Zk0eP/GF0+3f3wEIpUTAwn4umQVxu2AFh/FWjGngiz4V4H94yMQqZwXSKm3vbhZQQ0WA2n86OF/cngMC4FI5rRAtuYmu7mcd4ZZC6TmLJfLddgkDs9+QSBSOSuQX9zJuavjfExrgTzY+82t+9fdMdv+8RGIVE4KZElOqnc7589JZ7MWyKjtymXwL/aPj0Ckck4gC3Paecs5f066EdYCmRBeYB4kCgIRI1iQdXx4VtAhgdwVuvexcZj94yMQqRwRSIN/8MFZQYcE8tJ1329Z+nTHe+wfH4FI5YBA9vp6nPL7rKBDAglOPMzlcl3A4aeLQKRK+EBqpmVkq6c9HBIIIevefGEhj9c4IhCpEjyQXc1mBR0TSMiX9o+PQKRK6EC2elLcK6K+55hAdpeWlm663P7xEYhUCRzIWneyZ2Oz7zokkJ8GhN+1wf4zKhGIVAkbyOKcVK/WG6Q7JJChmc/NnUchkEgIhI8F2Rm+3ZprHBLI0dzeXw+BSJWIgQQLsk7wxRqXQwI5P/yZ7N/YPz4CkSrxAqn3D+rrj/2+EA4JZOeNGysrK7dfaf/4CESqRAtkr6/HcN3XCjokkNWZ+PgDLQjElipvOuvFUA4JJKv3M7Pfe+8tvCY9CgKxoTwvedxPrI0cEsgx4Tcwnmn/+AhEqsQJZIsnxf0zezOHBHJu+M1Ql9o/PgKRKlECWeNO9hQb2dAhgRTf8NuePXvK/2z/+AhEqsQI5MecNM1ZQQ0OCaQzPqNQEwKxoCCro8/w5wQ4JBB37ltvv/3266fYPz4CkUp6IMGCrC4z9hnf3iGB/Kc4tHjZ/vERiFSSA6n3D+ynMyuowSGBNHlfZ/vgNyuN7BaBSCU1kFpf9xFm30HUUYEs6h5785+v+6SBkKIpU8cURy8iIBCpJAZSyZ4V1OCcQOrePUPnTvrPFyjvQVE7vJ7MzI5aREIgUkkLpNST4rYyS+CUQLbmZ7i6Toz5IZ6NJy9WFrNuIKTEVR25iNwSgUglKZDfPMluQ7fAm3FEIMGvLjv8qOO/biTPxtr4fxkzzx/1Lcl/gG7cal3kInJLBCKVlEBWu5M9myxe1wGB7H6un6vzozsu0dv4b2lFwcfaBSZMpl8nrYpchLfYd+O4kLN7VsRWtl1nZSIq2yF7BCbtKIv7Ib84PzVvneVrb4/3gPtcFD5Rb2Q9Fn0wkB6u4e/VEaIbyMSLaQKHF03y0K9bl0cuwls0vDYj5MHMQGxVO3VWJqLKctkjMKm8Is4HfO/Ujk/ssHH9nVXchmJM5qTwiTqrwWgg+9+92PMLI5CnLqC3po7dNn0sIdUZjZGLyC1xE0uq+N7ECs4+qbffxKygBgfcxKKW3XzZp/RvBIn5093YIUCWnh8sTa8mcyeRyEUkBCJVPAOp95/Yf7bddzFwRiCElP2937RNxBNz67k3Pv9/ZYTMGe/L3x+9iIBApIpfILW+biML7L/VoFMCob8P5owalGr/+AhEqngFUuntwOeD05wTCLW4i/3jIxCp4hPINk+Ku4jPrhwVCHnR/vERiFTxCGRzbpLnV9W/38/qMOINqze2nBUIBwhEKvGBrHInezarv/FU93fWzu1n9cPJEIgaAhFNdCDf57T1lkV8Z2ebtfRyW1uLbz2IQNQQiGhiAynI6hz+4DSVz7JCizGzrO0SgaghENEEBtLgH9rHH/2oPiFfhV+Gep7FT0h2ViBP2z8+ApFKWCB1M3oN03wxVE37hfRyZdp2a/t1SCC7n7wqe/ToszAPEgWBhAV8XU+NNSs4u+2jsx9Pf8ninh0SyGVH/2nwrdf0v8L+8RGIVEICqdCfFVzpufD2JVb37ZBAkr5TPir98d/sHx+BSCUgkBJPinsZ970e4JBAehGSW0NKL7B/fAQiFfdA1rmTPBs471PNIYHcspX8+/7dLxxj//gIRCrOgawc1yavlOseozkkkOJzi+sGuVwX2z8+ApGKayCLms0K8ueQQBRVr7wWsH98BCIVv0CCWrOC/DkoEGq+/eMjEKl4BdLgH5KpMSvInxMC2VAVXB+ycoz94yMQqfgEss/X82Szb5FokRMCSb+5sR3e3V3TIRlIwNclq9D+boxxQiBfbyRXeucXFhZ+PMr+8RGIVPYDqfC25/NaQWOcEAj1efjBCovPyFRDIFLZDWSrJ8W9nM9QWPY9Par/tcscEsgDZ86hl9+9bf/4CEQqe4H84k4WOiuoFrzw3MLvn0n91BmBtP1audx9sv3jIxCp7ASyJCfVa/E5uRbMGaQ8SPZOP2cE0jP0TM26NPvHRyBSWQ9kYU47bznPoTDc+4hy2XCU2In65qwFckVoinBOD/vHRyBSWQwkWJB1fBxmBdXu8yqXdUftjOtRrQby/VU7yJ5XkmO/cZxhCEQqS4E0+AfHZ1ZQ7ZM+ygdnzDjJGTexyOOHJblcI3fbPz4CkcpCIHt9PU6J06xghOsHzPzortQFDgmELPvbX99nvd+1EQhEKtOB1EzLyI7jtIdK8K1LsjxbHPIwb5NP7f8iQSBSmQxkV3xnBbVG4JBA9v787bfffjHK/psRIxCpTAWizAquEDYUYxwSyJftw8/Fwl+QSC05kLXuZM9GgUMxxiGBnDjsoxU/U/gLEqnlBrI4J9W7Q+hQjHFIIK3X8jo+ApHKYCALsjN8HB6y5MAhgZwWfgYOh+fhIBCpjAQSLMg6wSfr89SjOSSQzQ+GHuK9yf7xEYhU7EDq/YP6+uviMRZDHBLI0KSUrl27Zhxm//gIRCpWIHt9PYbLmBWMySGBjD37/ry8vLtPsH98BCKVfiBV3nTJ0x7NOCSQV1aGFlY/BUUFgUilF0h5XvK4n8zvsuGdv/7dwtUMckggTfDu7lFaUCBbPCnuny3ssXrYyRMntH3Exph0OSKQrzfg3d21tZhA1riTPcWW9njbtfQuS0lHo6eVWQ4IpOrW3Ea8u7u2FhLIjzlplmcFk0IfSPjo7ZaHpM8BgXRyN+Ld3WOQHcjO23t2vW4ze7uDtAIpyOroq7Y6gobDapXFy9dY3QGDAwI5+7RqvLt7DJIDqex+y+KiBzpsMX6NZoEEC7K6zNhnYwx9PlYur/ybjV3ocUAgwZcursG7u2uTHMj91yqXD/3Z+DWiAqn3D+xnc1ZwbqfCxhpv1wpbO4nNAYHQu2Db8O7u2iQHcsanyuUKE28VEBFIra/7CPuzgv/u8ocjz/vF7l5icUQgYXh39+YkBzL6Q+Xyx0zj11AFUsltVrBU4Ns5OCgQgnd3b0ZyIE+cr7z+4Pq7jV/jYCClnhT3UhFj4swJgeDd3WOSHEjdiOx337+st4knpjcF8psn2b1S0KD4ckIgeHf3mGQ/zFv30hWXPmPmhm8okNXuZM8mUUPizAmB4N3dY5IdiGk0kB9y0rzxfjc265wQCMG7u8fivEBmZ3WyPisogUMCWbGB1xvrIRCJgrMH9/TbmRWMP4cEktSX1wv4EYg09f4T+7/upL8eCocE4n4otHje/vERiCS1vm4jC4KcPyddPIcEsvrq6avXr1+ZY//4CESKSm+H0KwgAmGxFkg3PMyrySGBbPOkuItCXyEQFmuB3JIXepj3TPvHRyBxtzk3yfNr09cIhMVaIN9uDS3wMG8UBwSyyp3s+f0VIwiEBa9J5ynhA/k+p623TPVvBMJiLRC8Jl1bggdSkNU56oPTEAiLtUDwmnRtiRxIg39on2YfnIZAWCxOFOI16ZoSN5C6Gb2GabwYCoGwWAsEr0nXlqiBBHxdTy3Q+qwKBMJi8WFevCZdU2IGUtE0K6gBgbCYD+Q5+j+8Jl1bIgZS4klxL4u1EoGwmA/kmL9uCy3xmvTmEi+Qde4kj87HuCAQFvOBDHyw76Wfsd/7YquXXhRNmTqmOHoRAYGItHJcm7xSvQ0QCIv5QJ4mwW9vGvyY7s+dkOC4DoTUDq8nM7OjFpEQiDiLomYFNSAQFosz6YE3L7jiY713GJv9zPGEzLqB3gR2VUcuIrdDIKI0nxXUgEBYrD/VZP2IdrHfobj8ucIehOQ/QP+UtFoXuWja4sfCEN+AfbFVl+msTERVu2SPoElg5uA+M6vZ2+2qEj8WrsoM/EdxNcAXPlEXmwskuNTT1pUa+zMKp+0r7EPIhMn0y6RVkYvwBrUjhoVk9iiLbUepzspEtGO77BGElEztNuStHUa23G5oqwQS9wFnjgyfqCNqjQZSQMiOpwe6jrjso9ivS//qW1KYScgkD/26dXnkInJL3MTiLuDrklVocFvcxGIxfxPrqnmXHOHq/fh2vY3Pzsw8/sjun08fS0h1RmPkInJLBMJZhbe9iXcQRSAs5gNxuVpf81+tpy1E+qw3IaXp1WTupKhFJATC1VZPinu5ie0RCIv5QNJ8Rk7bV3OOmLqRzBnvy6c3xCIXERAIR7+4k/VmBTUgEBbzgTzO9fgIhJslOale3Ru+GhAIi61XFHKAQDhZmNPOW87eLAoCYUEgPMkKJFiQdTx7VlADAmFBIDzJCaTBPziz2WsFjUEgLAiEJxmB7PX1OMXyB6chEBYEwlP8A6mZlpFt44PTEAgLAuEp3oHsMjUrqAGBsCAQnuIbiDIruMLeLhAICwLhKZ6BrHUnezba3QkCYUEgPMUvkMU5qV4On9GCQFgQCE/xCmRBdobPxGfZxoZAWBAIT3EJJFiQdYKP04mNQFgQCE9xCKTeP6ivX+/FzqYgEBYEwpPwQPb6egy3PCuoAYGwIBCeBAdS5U23N+3RfI8IhAGB8CQ0kPK85HE/cd4nAmFBIDwJDGSLJ8X9M/e9IhAWBMKTsEDWuJM9xQL2i0BYEAhPggL5MSeNx6ygBgTCgkB4EhJIQVZHXzV7M0sQCAsC4Yl/IMGCrC4z9vHe60EIhAWB8MQ7kHr/wH78ZgU1IBAWBMIT30Bqfd1H8JwV1IBAWBAITzwDqeQ+K6gBgbAgEJ74BVLqSXEv5bWz2BAICwLhiVcgv3mS3Sv57EofAmFBIDzxCWS1O9mziceO2BAICwLhiUcgP+SkeXfa340xCIQFgfBkP5CCrE7CZgU1IBAWBMKTzUCCs0/q7Rc3K6gBgbAgEJ5sBVLvP7H/bLHTHs0gEBYEwpONQGp93UYWsD+XiDMEwoJAeLIcSKW3g/hZQQ2HaCBfus+7xeBb7iEQniwGss2T4i7iPBRjDs1Anuz07CcPpxYY2haB8GQpkM25SZ5fuQ/FmEMykF9T1tPLL9oZ2hUC4clCIKvcyZ7NAoZizCEZyGuXhxb9vjeyMQLhyXQg3+e09ZYJGYoxh2QgL18VWgz+zsjGCIQnk4EUZHW29MFp/BySgazqoLx+uSjV0H87AuHJTCAN/qF9LH5wGj+HZCDk/kEfrX2j86uGtkUgPBkPpG5Gr2GCXwxlxKEZSOPLWb1Gf2xsWwTCk9FAAr6up8Z/VlDDoRmIGQiEJ2OBVDBmBUu/WVLLaUAsCIQFgfBkJJAST4p7mc764MTkrP5dCrmNSRcCYUEgPLEDWedO8mzQ3eKZYSWEzGu/hdug9CAQFgTCEyuQVePa5JUy9tEx9Ofljr9yGpI+BMKCQHjSD2SRkVnB/a56ZfGim9eYdCEQFgTCk14gRmcF265WLidO4jQkfQiEBYHwFDOQBv+QTIOzgg+dUUHIf1PX8BuVDgTCgkB4ihHIPl/Pkw3PCtZf3zYnq/1cfoPSg0BYEAhPmoEEfF1OM/Wo7doPCis5DYgFgbAgEJ40AqnwtpfyWkFjEAgLAuGpWSBbPSnu5Zqbrn70rtdkP1URgbAhEJ6iAvnFnRxrVvD5dhOmnN1nWxzGpAuBsCAQniICWZKT6t0eY8Pl6cqrCB/+YxzGpAuBsCAQnlSBLMxp5y2PueGUe5TL2tZxfBNFTQiEBYHwdCCQYEHW8bqzgvdNCS2SZd/GQiAsCISncCAN/sGsWcHXz1ReDfJjuuyXTCEQFgTCkxLIXl+PU5izgnXD7ypv+K7XW3EZlQ4EwoJAeKqpqpmWkW1k2qPspiRX33eED4gFgbAgEJ62TDI+KxhMhHMTgbAgEH62epKvMviOr4kCgbAgEF7WupM9Kzl/TrpwCIQFgfCxOCfVu4Pz56THAQJhQSA8LMjO8O0mfD8nPS4QCIuYQPbktk9zVxNSNGXqmOLoRYQWEEiwIOsEX/hEQyCitZBAZudXL+n0IKkdXobn/jQAABSJSURBVE9mZkctIjk+kHr/oL7+uqZ/IBDRWkgg8+kZM/kSMusGQkpc1ZGLyC0dHsheX4/hqllBBCJaCwlEcflTJP8BegOk1brIReRWjg6kypseOe2BQERrOYFsPHcfmTCZfpG0KnIRXl07tEdIp547YtteqrNSurV3JY0pjPxWYg9YQ+l22SMwKe4D7ts/fKKexHo3WJOB7BlbSsgkD/2qdXnkommDZUtCZg6oi62mXGelZMV3plxTFP3N3RUyhmJDxW7ZIzCpvCbOBxzwavhE1Xu3WAuB1N21iV5OH0tIdUZj5CJyQ4fexFrjTvYUN/82bmKJ1kJuYjXcsaisrKyuNL2azJ1EIheRHBnIjzlp3h1aKxCIaC0kEI9LsYjMGe/L30+iFhEcGEhBVkdfjFcCIhDRWkggxjktkGBBVpcZ+2KtRSCiIRC1hAuk3j+w38FZQQ0IRDQEopZggdT6uo/Qf60gAhENgaglVCCV0bOCGhCIaAhELYECKfWkuJcyt0IgoiEQtYQJ5DdPsnulge2iAqmZdsk1byfCh9nGhEBYEAjbaneyZ5OhLSMD2dn9ktee6z8ukQtBICwIhOWHnDTvToPbRgby53vpxd6T3uA/Jm4QCAsC0VeQ1SnWrKCGyEDSQn92Xrya85B4QiAsCERHcPZJvf0xZwU1RAZyXOgDbf2Xch0TXwiEBYHEVO8/sf9sc+8NGhnI6OnK5ZjHOY6JNwTCgkBiqPV1G1lg9v51ZCDL055bszy3P+uFBDIhEBYEoqnS28HKB6dFPcxbdNnxfe8xegdfCgTCgkA0bPOkuIusXBEThaIhEDU5gWzOTfL8au2qCEQ0BKImI5BV7mTPZqtXRiCiIRC1+AfyfU5bb5n1qyMQ0RCIWrwDKcjqrPvBaUwIRDQEohbXQBr8Q/swPjiNCYGIhkDU4hhI3Yxew5gfnMaEQERDIGpxCyTg63qq6VlBDQhENASiFqdAKqzNCmpAIKIhELW4BFLiSXEz3zbPIAQiGgJRi0Mg69xJng3c9oZAREMgasIDWTWuTV4px/0hENEQiJrgQBbZmxXUgEBEQyBqQgOxPSuoAYGIhkDUxAXS4B9ie1ZQAwIRDYGoiQpkn6/nyfZnBTUgENEQiJqYQAK+LqcVitgxAhEPgaiJCKTC257TrKAGBCIaAlHjH8hWT4p7Oe+d/g6BiIZA1HgH8os7meOsoAYEIhoCUeMbyJKcVO92njtsDoGIhkDUeAayMKedt5y9mT0IRDQEosYtkGBB1vHcZwU1IBDREIgap0Aa/IMzBcwKakAgoiEQNS6B7PX1OEXIrKAGBCIaAlHjEEjNtIxsYdMezY+GQARDIGq2A9klclZQAwIRDYGo2QxEmRVcYWjLr26/+iEejwAjENEQiJqtQNa6kz0bjW36aKdpb92UFvtDCDc9n/+hoXsxCEQ0BKJmI5DFOaneHQa3Xd5hK72cPjzW+tfSrr7v9FMqDOwJgYiGQNQsB7IgO8O32/DWf79DuWxos0179aoOv9DLu680sCcEIhoCUbMWSLAg6wSfmf/j8x8MLdI3bp52x/Tm04lT7lYuq1sb+CAcBCIaAlGzEki9f1Bff52pq3zQX/kcwm/az065/tE/dl4dvfqeqaFFGwP34hGIaAhEzXwge309hpueFQxeeOGS7W93fCFN+Vk8Nzj6HRZf/KNyuay9gd0iENEQiJrZQKq86ZamPWom92k/8qNX/xT6R8e1UWsDAx6uI6sGvGxkRy01kP3FAbEDMQqBqJkLpDwvedxPNobiuyW0GPBj9Irf/nR0m4wZRnbRQgPZO7H1CUeOE/xSAWMQiJqZQLZ4Utw/2xrKl32Vuy6bj61svqp2q7FdtNBA7jhrK6m+6fR60aMxAIGoGQ9kjTvZU2xzKMELryppXDbsERu7aJmB7DhO+aTe+gGfih6NAQhEzWggP+akGZ4V1FFxV6qr61MNNvbQMgNZODi0uOmfYsdiCAJRMxZIQVZHXzWn4dh8UVXLDGRtRugBvAtnCR6MEQhEzUAgwYKsLjP28RuPPS0zEJKl3Oz8qJPGnbO4QyBqzEDq/QP7mZwVFKqFBrKhV9bEi9t9IXowRiAQNUYgtb7uI+L1WkFjWmggZN+7T7wu/B0vDEEgarqBVFqcFRSppQaSOBCImk4gpZ4U91L+w7EJgYiGQNRiBvKbJ9kd+/VN8iAQ0RCIWoxAVruTPZvEDMcmBCIaAlHTDOSHnDSvMrNLgu/l3jwroe6jIxDhEIiaRiAFWZ2aZgUbLhow7YmhZ8XlDeGMQiCixTGQYAVV76RA6oqmDunt30fIlo8+KSVPj6qjlfzxYTHjsgaBiBYdSDU9iZUXV5csWbLkJ3pzoqyQKiFk3wezZ8+eT1fMmTZt2uOVhCzMo74iZPudubm5+XTF/40bN+7SYkJeG0bNIGRd3x49epxHV5yVmpqavIaQx1zU444JJLD8vfatj2rzLP0yP+W80SnPnlVA6mfdfX1fMeOyBoGoKSev8jKSyg0bNmwM0p8OPYmXbCOkvoCevP+lK+bPmDHjpT2ELKMn8bSvCSn30JN3Cl0xmZ68V2wm5N1sip68G/rTk/dcuuKslJTUNHryPqmcvI/Qs7otPZtPoyvOoxv0XUvIy8rp/iohm+gext1PV+TTXd5ZSsjXSiD0ZK+ix5wxl674gg7iA+W3rZJUGf2DsZSO7je6ooYO+/f/Hx0SSK3nqCTXMe06dThy4nunHnN9MVmTkflVxZDh3qsP/5uYgVnirEAa6OmyTTl5SdPJS3/cDf+jp8ti+o1F9Px5m568y5WTdxEhFfn0BPPRFY/TM+4mevLOU07e1wkpPo2ekpfRFZfQc7TrCkKeUk7eRwlZewRdKv/3XkBX9FpJyAvKyfsiIRuVa95KV9xPT+Jr6DlZqJy8NJBdyrH+TVcU0JP4NdruZuXkpWd3/ZKmk3fHT6s3bInrDymegRRNmTqmOOp7BgO5rme7rqMOP7z1yAmtTuj51/tSfiQvdrv/2huC5JGxnf9nf2S88A1kH/1Vpjz/qY6exBvoF8Fv6emiTP4oJ+97tYSsV34b0m9UP0NPrBfoiifpyXvrVkL+o/z+nEV/O15ET8Wr6YrL6TnacxUhz9NfuKmPEfJra3ryDqSBZNF/d6An77N0gx7/bDp5r6PXuLfp5P0P3WUuva1S/n/0JJ5OV7xPj/kKLecXOojZNJT6L+molFfilNJRFtM/FHXKbXdRD5605DvptcPryczsqG8aCmTbjYddVXTOURdm/uf1Nof9sdsq8no/8tXQDkcu2/Z8218f8dgemUXKE+PrlZNXuZ3yM/0d9ysNZDU9XebTk3eTcvIuJ2SPcvLSv/nkZXqC3U9/+32mnLxvE7JVOXnH0xXX09+rJ9Nz9GXlHFVO3qPpyXsiXTGCLo+kp97zyoqn6Q0N5Tew8u5Dt9FrXriBkI+Uk3ceITuV38DP0xV+eqynaEqrlIOvpokpv4GL6Ip1dHTL6clbqwxX9biG4++DCBfHQGbdQO9LuaKemG4gkM25SZcOJmTgH364dgbJOmLgqHdJY1KJ74plrtTkMUXkX9fHunroYQjlqYxb6Vmh/GFWTt4v6OlRovzyW0dPl9fpeaT8SX+dnmCTttMbqsoZ9yG9J3ctPYlz6YqblZOXnmmvKOfoE/T2RAb9jasM+XR68raityf+ofxKnkZ/8/ZS7uLRQG6mJ+956wl5T+ngfXry3kZ3qdwMfJWevE/Q/6BlTSdv7Rw6COWnr5y8P9XTlJSTV3lvIWXYcToPEAhLHAPJf4Ces63Whf/R6J8R8mDPlStXbgoEAusXLFjwXVUgsPVjakUgsOul557zvR4I/HR661Pv82TUBAa0Gn38GH/64aef9YdzL209p93Xdx4z+OxzlgXGXDWUeiwQWNMxJSVlKN3VSOXk/SEQ+Af9d8pfAoHVPbp3734OXXEF3XB4USDgP5t6ORDYeNONN944ma54YuLEiXl0FN89Si0IBMrfevPNN+fTFQvoYOYro6KjW7CDfmNbSUlJWSCWyvKYqxJTeYXsEZi0syrOB8ycFD5R32DdaLQfyITJ9CJpVfgf+27PDRlzHD2Jh1VVVV02ZMiQoQurql46i3qxqmrtpWPHXnLbFxekZd96zz33DJ5SdWbXw47o0/a0w5559tI/tD8i/aWq+Xen5vnX3d/z56+pTVVVlcuXLVtWTHe1fdOmTVurZCjfKeWw1u0slz0Ck3bsivMBe18VPlFvZ73oyH4gk5Q7C62jnjWtexNrzojOTR+cVjwoa/RxbY4ZedFRaWcUrnkyeXrodvQ7J7Y69gqhH1trkrMexSK4icUWx5tY08cSUp0R9ZcqdiAN/qG9px+8P1n/8VNnd7/78p79Kx8f3uePBwdda+cV5PwhENFaciCl6dVk7qSob8YKpG5Gr2EFgciZ9I/vv+vVRHjrmdgQiGgtORAyZ7wvP/qpU9qBBHxdTy0Icv6c9DhAIKK16EC0aAVS4e0Qfq0gAhENgbAkXiAlnhT3svCXCEQ0BMKSaIGscyd5Dj4uhUBEQyAsiRXIqnFt8kp//ycCEQ2BsCRSIIty2nrL1CsRiGgIhCVxAinIOjAreBACEQ2BsCRIIA3+IX38zV49i0BEQyAsCRHIPl/Pk7XeIhGBiIZAWBIgkICvy2mFmisRiGgIhEV6IIO87WO+gygCEQ2BsEgPJPnihTFXIhDREAiL9EAG6axEIKIhEBbpgfD9nHTJEIhoCEQNgYiGQFgQCE8IRDQEooZAREMgLAiEJwQiGgJRQyCiIRAWBMITAhENgaghENEQCAsC4QmBiIZA1BCIaAiEBYHwhEBEO/QCyVwS23ef66xMRN98KXsEJn35P9kjMOnz7+J8wEzJgazt2SO2jh10ViaidKcNuEOG7BGY1KFTnA/Yc63cQHS9f4GEg9rxxB2yR2DSbU/JHoFJ582TPYJYEIgBCEQ0BKKGQERDINwgEAMQiGgIRA2BiIZAuEEgBiAQ0RCIGgIRDYFwIyOQZVMlHNSOT16TPQKTZn4mewQm/W257BHEIiMQAMdAIAA6EAiADgQCoAOBAOhAIAA6EIi+/Q3BhmafAJS4grIHYFZowIn8Q5YQSNGUqWOK439Ya9q4XK7BThnzrie715ODg3XAmJsGnMg/5PgHUju8nszMjvthLbq+rKyswiFjLr74A1f9wR+wA8bcNOCE/iHHP5BZNxBS4qqO+3GtuSt06ZQxb1HOt6bBOmLMoQEn9A85/oHkP0BvebZaF/fjWjMqO3XET44Zc+h8axqsI8YcDiSRf8jxD2TCZHqRtCrux7XmHw21V3cLOmXMofOtabCOGHM4kET+Icc/kEkeetG6PO7HtWyja5dTxhw635oG64gxhwMhCfxDjn8g08cSUp2h8enQiUi5Rbyzi2PGHDrfmgbriDGHBpzQP+T4B1KaXk3mTor7Ya3JryHE97FjxrzZtf/gD9gRYw4NOKF/yBLmQeaM9+Un6rRQtEVj7n3sG+KUMX94o+verw8O1gFjDg84oX/ImEkH0IFAAHQgEAAdCARABwIB0IFAAHQgEAAdCARABwIB0IFAAHQgEAAdCARABwIB0IFAAHQgEAAdCCRR7F/0uNHP7jYh8N8pZfz3eghBIHH0r5GucU1flh9z+HUrlC8abs8Pf+cbt6swxvX299ht7AB766K/8+FFrvVmhwkqCCSeFrpabQh/9agrM7QM3tnnwN+NDUog32RsaH61d13PGdr9N+nLmn3vMwRiCwKJp9VntAp/3OHekwYMD33xzC01B1YWK4FsvLmq+dUuHt7P0JvuznKVNPteIQKxBYHE05rxV/4hdJfgpWeHjVCWjUt+XxkKhDQ2T2GZ5z3XV0Z2/54r0Ox7CMQeBBJPa8YvcU2hy8asmlAgdU/elnvWd/SLYs9ZJ11HA/n8qvb0fN50S6/kcb/f7bh5XV3ny5UvPrmuc/G5x5y+uuyCPwxbSv8dfNkzYVQejeKda289P5d82MfVIf2J3G6r3Uk/H9wHArEHgcTTmvFkdPtaetfZS5RAGs6ntbyYtI28PrqC7BpPAynLV87nc7eQ745+8sCVyi+jd1kO30q/Ks51Xb/0l16ZN/60PvNE+u/7rguS7b3Obvy5ZwOp/zMhb7r2kq15rqse6rvh4D4QiD0IJJ5oIJ+5XiDk/J2hQD5w/UpIqcu/+6gFpOkm1nzlfC6m//rTVQeuNO1TQrYfGXqs6y3XZnq3xUXvxz/n2k3WHfY9Uar4+P2khUHlSkogdA/TyY79B/eBQOxBIPFEAwkO7tXw/Z0kFMhDritvmPDAnz4udO0iTYGEzue6t3MnDD7wQQD1/S++5JJLjs9QHsF927WHkNmuSkLmukppD1vo97a6Hq4Y5Drh+s+bAil0rVaudmAfCMQeBBJPNBAyy/X+lRvDgfxFOdWpN1zKe5qvOxDI7kH37yG3jm66zpxpyuXXrndJUyDvKdeaRwN5waXcEdnv+ifZXzixq+uDA4EoRRzcBwKxB4HE0+rr6K/2LpnX0C9PGk7Iv13/Dn27yKXc4Zh3IJCZ9OYTueZAIKM2KZeNXc8g0YEsdD1Nv7fusOULaHD1vZ+mgdQcKOLgPhCIPQgknhaNpRfPuhbSy56ZhOzre9wHe/e9VNKYfdy8wH+udn1MyMeuleRV1wvbn+h/VvgqiweFlxNdiwh53VWu3BHZrgSyiQTP71hMgnc8SP41g5AKesd8nuuNwr3KHsjv+/go9E+wCoHE0YtZyRN+IzXnBMlv41sdccM3pPKWHp0vn0fIjms7HJdf7Dpz1qwzXWPmB3KOuWDzFalPh67SNe1uZSrx2dNc3d9/+RTXn5fOHOG68hvawuVfkj2ekyY89E6QFGSNvO3WZYRUn3rMXW+d6cp5npAD+5g1iu5Q8n+2oyEQZ2pMtI8JaKkQCIAOBAKgA4EA6EAgADoQCIAOBAKgA4EA6EAgADoQCIAOBAKgA4EA6EAgADoQCIAOBAKgA4EA6EAgADr+H/AlXnl7s3ZHAAAAAElFTkSuQmCC" title alt style="display: block; margin: auto;" /></p>
</div>
-<div id="ajuste-dos-modelos-2" class="section level2">
+<div id="ajuste-dos-modelos-3" class="section level2">
<h2>Ajuste dos modelos</h2>
<pre class="r"><code>## Preditores considerados
f1 <- ntot ~ bloco + cult + aval
@@ -984,7 +1924,7 @@ m2C <- cmp(f2, data = ninfas, sumto = 600)</code></pre>
## = X, offset = off, : convergence failure: code=1 (iteration limit
## 'maxit' reached)</code></pre>
</div>
-<div id="comparacao-dos-ajustes-2" class="section level2">
+<div id="comparacao-dos-ajustes-3" class="section level2">
<h2>Comparação dos ajustes</h2>
<pre class="r"><code>## Verossimilhancas dos modelos ajustados
cbind("Poisson" = sapply(list(m1P, m2P), logLik),
@@ -1081,7 +2021,7 @@ summary(m1P)</code></pre>
##
## -2 log L: 820.888</code></pre>
</div>
-<div id="avaliando-modelo-proposto-2" class="section level2">
+<div id="avaliando-modelo-proposto-3" class="section level2">
<h2>Avaliando modelo proposto</h2>
<pre class="r"><code>## Um dos problemas computacionais do modelo COM-Poisson é a obtenção da
## constante de normalização Z. Assim uma visualização pós ajuste para
@@ -1135,7 +2075,7 @@ corrplot.mixed(Corr, lower = "number", upper = "ellipse",
tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])</code></pre>
<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
</div>
-<div id="predicao-2" class="section level2">
+<div id="predicao-3" class="section level2">
<h2>Predição</h2>
<pre class="r"><code>## Predição pontual/intervalar
pred <- with(ninfas,
@@ -1147,10 +2087,10 @@ pred <- with(ninfas,
))
qn <- qnorm(0.975) * c(fit = 0, lwr = -1, upr = 1)
-f1; f1[[2]] <- NULL; f1</code></pre>
+f1; f1[-2]</code></pre>
<pre><code>## ntot ~ bloco + cult + aval</code></pre>
<pre><code>## ~bloco + cult + aval</code></pre>
-<pre class="r"><code>X <- model.matrix(f1, data = pred)
+<pre class="r"><code>X <- model.matrix(f1[-2], data = pred)
## Como não temos interesse na interpretação dos efeitos de blocos
## tomaremos a média desses efeitos para predição
@@ -1219,14 +2159,18 @@ da <- da[order(da$cult, da$aval, da$modelo), ]
source(paste0("https://gitlab.c3sl.ufpr.br/leg/legTools/raw/",
"issue%2315/R/panel.segplot.by.R"))
-update(xy, type = c("p", "g"), alpha = 0.5) +
+key <- list(type = "o", divide = 1,
+ lines = list(pch = 1:nlevels(da$modelo) + 3, lty = 1),
+ text = list(c("Poisson", "COM-Poisson")))
+
+update(xy, type = c("p", "g"), key = key, alpha = 0.7) +
as.layer(segplot(
- aval ~ lwr + upr | cult, centers = fit,
- data = da,
- horizontal = FALSE, draw = FALSE, lwd = 2, grid = TRUE,
- panel = panel.segplot.by, groups = modelo, f = 0.1,
- pch = 1:nlevels(pred$modelo)+2, as.table = TRUE))</code></pre>
-<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAJYCAMAAACtqHJCAAADAFBMVEUAAAABAQECAgIDAwMEBAQFBQUGBgYHBwcICAgJCQkKCgoLCwsMDAwNDQ0ODg4PDw8QEBARERESEhITExMUFBQVFRUWFhYXFxcYGBgZGRkaGhobGxscHBwdHR0eHh4fHx8gICAhISEiIiIjIyMkJCQlJSUmJiYnJycoKCgpKSkqKiorKyssLCwtLS0uLi4vLy8wMDAxMTEyMjIzMzM0NDQ1NTU2NjY3Nzc4ODg5OTk6Ojo7Ozs8PDw9PT0+Pj4/Pz9AQEBBQUFCQkJDQ0NERERFRUVGRkZHR0dISEhJSUlKSkpLS0tMTExNTU1OTk5PT09QUFBRUVFSUlJTU1NUVFRVVVVWVlZXV1dYWFhZWVlaWlpbW1tcXFxdXV1eXl5fX19gYGBhYWFiYmJjY2NkZGRlZWVmZmZnZ2doaGhpaWlqampra2tsbGxtbW1ubm5vb29wcHBxcXFycnJzc3N0dHR1dXV2dnZ3d3d4eHh5eXl6enp7e3t8fHx9fX1+fn5/f3+AgICBgYGCgoKDg4OEhISFhYWGhoaHh4eIiIiJiYmKioqLi4uMjIyNjY2Ojo6Pj4+QkJCRkZGSkpKTk5OUlJSVlZWWlpaXl5eYmJiZmZmampqbm5ucnJydnZ2enp6fn5+goKChoaGioqKjo6OkpKSlpaWmpqanp6eoqKipqamqqqqrq6usrKytra2urq6vr6+wsLCxsbGysrKzs7O0tLS1tbW2tra3t7e4uLi5ubm6urq7u7u8vLy9vb2+vr6/v7/AwMDBwcHCwsLDw8PExMTFxcXGxsbHx8fIyMjJycnKysrLy8vMzMzNzc3Ozs7Pz8/Q0NDR0dHS0tLT09PU1NTV1dXW1tbX19fY2NjZ2dna2trb29vc3Nzd3d3e3t7f39/g4ODh4eHi4uLj4+Pk5OTl5eXm5ubn5+fo6Ojp6enq6urr6+vs7Ozt7e3u7u7v7+/w8PDx8fHy8vLz8/P09PT19fX29vb39/f4+Pj5+fn6+vr7+/v8/Pz9/f3+/v7////isF19AAAACXBIWXMAAA9hAAAPYQGoP6dpAAAgAElEQVR4nO2dB1gUV9uGj8YYjTGKvUSTYGJ6TGKiqaaZ/KZomqR9X3o0Vf00iWhisIJLFSxYQcWODQuIYEFUQBjFLhbs0hZW6dL2/DOzu7DA7Oy8x2Ub731dzi7OPHvOzp4bpu28hCIIYhJi6w4giD2DgiCIDCgIgsiAgiCIDCgIgsiAgiCIDCgIgsiAgiCIDCgIgsiAgiCIDCgIgsiAgiCIDCgIgsiAgiCIDCgIgsiAgiCIDCgIgsiAgiCIDCgIgsiAgiCIDCgIgsiAgiCIDCgIgsiAgiCIDCgIgsiAgiCIDCgIgsiAgiCIDCgIgsiAgiCIDCgIgsiAgiAyaBtBi/KgIA5I6mTPIRegoU1/en+WCovk+d5fQWnV5N6dPi9Smikc3rHdVwWGB6UY2tC1CE0xvDXFoCCOR0m/ChoyEBi68oKWJr0NilwYHEH44Zo6viz3YZXSULhHAddtrOFBKfo29C0CUwxvTTkoiOOx4jtKrxHlv55Fktrn0d2/A1u6IgzXgyWUjpitNBJdTunfHxgelFLdxhWIIPoU01tTCgrieHj8xW+qNz0DC1W80mOWewmwJcNwzf86HxIb6m/8oBBdGyBB9Cmmt6YUFMTx+OVvfnL3CWDqwMD7eu8GZnTDtWrU0A/2AlLn37pp9KAMQxswQfQplremFBTE8Rg3kp/ckQsLpb5fUT4GGqoermEtChWHCj/MNHpQjtgG9C+IkGJ6a0pBQRyP4A8pLehSBQu5B1NadtdVWEgcrmr+yQWSpzRTPuKi0YNCqtsACaJPMb01paAgjkdm5wK6YRwwNG8UpelvAUOXSBm/G5xF6cK/lEYqf0tUq9Xl+gelqeo2xBaBKaa3phQUxAFZ902gB2AciVT+8fe8qYr/DOjY9D0ZHUc3vz1+zlrFmZFEIFH/oDRlaEPXIjDF8tYUg4IgiAwoCILIgIIgiAwoCILIgIIgiAwoCILIgIIgiAxWE6RqKMtXYRJ8WNqacoghVDmUpal9viypSYdZUjUcnsSS8t3PkhpayRA6NIWlKZ8EhpB2KPCaAhhWE6SUsLyPJW4sbb0XzhAqasLSVOhnLKlB61lSNawfxJL6LJQl1UTxd6WMCH+PpSm3JQyhKlLK0pZSUBADKIg0KIh1QEGMQEEkQUHAoCCSoCA1oCBwUBBJUBAGUBADKIg0KIh1QEGMQEEkcWpB0tq3laVNc/n50tzVkiXVsjVDyJ462LKV/PzWbK3exZJq3oYhZE8dbHfcLgTZ12sTYikecbN1D5wI11j7EOQRDrEUfb63dQ+ciIdQEKcDBbEgKAgbCQnJKUn7k23dDUlQEAuCgvAEPUO6DOjX/pmVXPDLpO1rHzzWc2QK78DIV5/r9uoc3SKLn7qz89Bd4tO4P6I47jXxtgLBws9GGeO47bCpIAzrkif+3xHio92tSxREZDX5neOi2rrynxT5mONS/kO8uOT+PyVzSV9/KC4Q0/LrSe+SAeLzQWQtx70xbAzPFvE/ajLGT22Hbf+CwNclx6kempqoS9vbukRBRCKFD5V7szm/ydSU/1S4jeRLTuUibEBtGCYusFgYc4PIbn66oD+J4JfdaRSvztR6ajNsKwh8XXJjH46ujtvZukRBRKLED/WZfpz+U1lJPLivuwl/21MOiAusFv5WTCYbOO7AB14kkuNeTTCKV2dqPbUZthUEvi5Dmq2tidvZukRBRIQPNfnvR7dxuk8l6Y1nEriR5LtdtZca05bfDhgb5k1iOO7lv+5r+eQi/YzqTK2nNsP2gsDW5aPvGM2ws3WJgohEkYff7vGw+x5O+FR8Pn/RfR+///gUIT0Gjo6vXijlUf53WczXnDfhP+z+34dM7tR8o25OdabWU5tha0GA63IDGfuja++x+n1xO1uXKIiIuFmwomfnbcKnEnb7E0nCf6YsGz+kJ+m227DQ/wbzk//u5D9U/r/4X3zcMqLbqDbKGD+1GbYW5HfYupxC+s1cNZhM1c2xs3WJgojotpsDyK/i3/Ux5BvDjOThxEf/NPQp/ndZ6AROJ4hIt491j0aZ2nHbYAeCQNblGLKc3x3p+qpulp2tSxRERPehriM/ip9K8otkNsftFrd9d5J5ukW29ReOWz12e/Pmt5Hbu+n+74F/dI/VmVpPbYY9CAJYl9OE/RDujf66eXa2LlEQEd2H6k3m6/YMt7u02855iLvgS9vsFZeIezlSeNi8bt26P0jompHCAZnd3WN18epMrac2wx4EAazLcLKU/+k5faftbF2iICIbhQ91ffePU7h48jb/cyDplzzmVf4XW8Tj4slyLqHvR8KJQU/huQeJ5KYM4xcdrP+FWJMxfmo7bCsIeF1yr7+fwoV31h3msrd1iYKIDCHtn3v2yfEHuGmvkrvdIjjuM/J8wID2vQZ+slm3wFDxyhLyOL9n/kUP0vfX+FdcX3XbqptnlPmj5mmszd6MjQUBr0tu3ydvf/2x7pITu1uXKIg0yQeSwZcAGWVY4pbDzi5WdOh1iYI4IXYmiGODgjgfKIgFsRNB1jW9G7EUTZvbugdORFPlBRYbUpB9z+ySZec6+fnSRG9hSW2OZgixdXBbg3Tw6QHy86M3s7S6ZRtLat1OhhBjB1k+N7MdfG6ffQjytPx8bQbLq5ZoWFJ5LDeCYetg8XWWlLkOvvSS/PxSppqu14tZUhksd+Vn66CmhCVlroNPoyB1QUEkQUEYQEEMoCDSoCCWAQUBgIJIgoKAQUEkQUGMQEHAoCCSoCAMoCAGUBBpUBDLgIIAQEEkaayCVCXM8112AQWpAQWRpLEKsnZpet5xv70sr4qCSIKCGOHwgqTPquCnl/5lWdEoiCQoiBEOL8ieaGGq9WBZZyiIJCiIEQ4vyL6twlQ7IZ/hVVEQSVAQIxxekEw/ocrd0eksr4qCSIKCGOHwgtA9QcnHYnwOs7wqCiIJCmKE4wtCL25esaMAD/PWgIJI0mgFEcAThUagIJKgIGBQEElQECNQEDAoiCQoCAMoiAEURBoUxDKgIABQEElQEDAoiCQoiBEoCBgURBIUhAEUxAAKIg0KYhlQEAAoiCQoCBgURBIUxAgUBAwKIgkKUouySm1lmdlXR0EMoCDSOJ0ghcM7tvuqgNLWhJA+lKZO9hxywXQaBTGAgkjjdIKEexRw3cZS+q1ardbQkn4VNGSg6TQKYgAFkcbpBIkup/TvDygdIf604jtKr5ECk+lbFqRiorvIfx4okCU/Q36+NJocllS2hiXF1ME8NUvKXAef/1R+viabpVV1HkuK7XNj6mAO2+eWLz+/93e6ETqpombUDvWndMBAl/4Hqcdf/O/GpmcaTpBygyAPyncTBTECBZGkYQXxLK8etOffukmpX2XJF/dpf/mb//nuEw0niAHcxAKAm1iSWOsoVuGHmbon50neuJH84x25JtMoiAEURBrnE6R8xEV+Kux25PSkwR/yT7tUmUyjIAZQEGmcTpDK3xLVanW5RxGlgVtpZucCumGc6bQDCHJlR2RSuflFjUBBJEFBREYSgcTEIaO99vA/rvsm0EPmfKH9C7LXJzZ+ZQDoplooiCQoCAN2L0imr+DGrhWQFAoiCQrCgN0Lsmu78Fg+xfxVMzWgIJKgIAzYvSDRe8QnXkWAFAoiCQrCgN0LkhoivP8LfpBU3rFVC1afBzaFgkiDgliGhhKkcsHGG5Wn/Y9BUtt8Dl1J8UuBNYWCSIOCWIYGO4pVHOE1abbpSwEkyP9XaCt7Omw8oCDSoCCWoSFPFMLOgtAT88TxF3oWlEJBpEFBLIMdnUk/ORcFkYJdEOBvKBREAjsSpNBD3MRSwY5loSDSZGiPzpo0fQts7KIg9bAjQWiMuJN+EBZCQaTJODQrvbJ4a4jp6/kkQEHqYU+C4GFeSdgEuaYSrw0PAR1HREHqYVeC4IlCKdgEOa0SH3btgIRQkHqgIAAcSZALUyuFh0hQnXsUpB4oCABHEiRjabyQ9c2BhFCQeqAgABxKkBszV8fH+HKgEApSDxQEgEMJoq04FBVv+kvbkqAg9UBBADiWIAwhFKQeKAgAFEQSFAQMCiIJCmIECgIGBZEEBWEABTHQSASpgl54iIJYBhQEgM0EUYdNmRQE+nINCmIhUBAAthKkdEZ8WdVZv3RICgWxDCgIAFsJErdBeDw1F5JCQSwDCgLAVoKsTRUey6ZAUk4niKHClL60FFaYUkhjEGTzfuFR4w1JOZ0g+gpT+tJSWGFKKY1BkHP+RfwbXbsFknI6QfQVpvSlpRq8wpR25XyRsQ8Vy1KUIT9fmhtqllTODYYQWwev57KkzHXwhQ/l59/IYWk193pxlOembbPmXIekMooYmmLroJrlczPbwYfddSN0pZFIQ/0NpaUavMJU6X/cRF7vpZEnw8x8SdRZLKmsXJYUUwdzsllSWWr5+f2/kp/PtlqyczSak5vXJeSBUkyrJZftczOzWqQx18EHB+tG6Hc1f7aFClP60lJYYUopjWETiyXldJtY+gpT+tJSWGFKKSiINM4niK7ClL60FFaYUgoKIo3TCaKvMKUvLeUEFabgoCCSoCAi+gpThtJSDl9higEURBIUhAEUxAAKIg0KYhlQEAC3Ikhx7IoNHPAr4jpQEAZQEAMOIki+7+ajh2aHsLSKgjCAghhwEEFW7+YnhX7HGVpFQRiwc0E4nyk+m8GrzZkFmSYUayyNiWBoFQVhwL4FOe7NFedtCIV+RM4syBQhWrprA0OrKAgDdi2I1u8Mv4mlXQi6sTh1bkFCkvlJyexkhlZREAbsWpBClbgPsjsGmHNmQbJUe7MvLwsEVevQg4IwYNeClE4rFASJjgPmnFkQmrPaf3ZUJkurKAgDdi0IXRzDC3LDBxp1akEE8EShEY1ZkOuqRQd2+IDfIAoiCQrCgH0LQm9s37D9KjiFgkiCgjBg54LgiUJJUBAjUBAwKIgkKAgDKIgBFEQaFMQyoCAAHEmQtKMnCsEhFKQeKAgABxJk278rV3qDhxgKUg8UBIDjCHJo7nktvRFwDhhDQeqBggBwHEEWnBXGH7caGENB6oGCAHAcQQJyhfGXDv2CFgpSDxQEgOMIsviEMP4SoFfXoyD1QEEAOI4gZ/xTtfScN3TdoCD1QEEAOI4g9NCEoMCANGgKBakHCgLAFoKUZF5mOg9y6UpGJThk54KIibJKbaXMHeP0OIQgl4ApcfxNest00QcpnFuQis3TAicuYOms851Jz/O9v4J/aE0I6eMUFabmkhmwlDj+HiCJoJBzCxK1vJjmbl3A8EVEpxPkwuAIIgjyrVqt1jhFhanxZDQsJY6/XiQBFHJqQYo9S4R9kAXgnQknFITSK6IgI8TnDV5hiibFigQ+dlOW0gz5+dIU5PKTsWQkLKUu4CeuZA8oxNbB/DyWlNhBGV58R35+gRrY4IUgfpKXvxG2SkQySuEZeAdFcs2sFmnMdfCxQN0ITaojyICBLv0P0gavMFX8Ql+Rh3qp5ckwM1+S7Ex+8j/yMyyVmcNP7iNRsBRbB7NYUpnZ8vP7/2im1Uxgg+n/8v3Myp67B5hT61fL+nhYKAfaQRFzq0Uac5/bQ8/rRuir1ccodIL4VZZ8cZ/WGSpM4SZWXeBbMEu3ael1zq+Ehn4KvDZX2IK52uReWMgRNrF4zpM8Z6gwhYLUBT7+CubPiZgz/RI/XMhOWFIYf2nEBRZyAEGE3Y6cntQZKkyhIHVhGH/acwlJQl/7EOBdxpxQkEukjFKPIkoDtzpFhSkUpC63cCYdBaGbviej42jikNFee6hTVJhCQeqCghiBl5qgIHVBQYxAQVCQuqAgRqAgKEhdUBAjUBAUpC4oiBEoCApSFxTECBQEBakLCmIECoKC1AUFMQIFQUHqgoIY4VSClFTAXhUFkQQFMcKZBMlq/QbsVaGClOwWDERBJEFBGLCuIIdId6WvV/TpIgoXZByZQ1EQE6AgDNitIHHkQQoX5FsyherHXw8UpA4oCAN2K8hOci/VC/IT+Vpp6ptqQbQtCOyGsg4nSIE/sNYtCsKAIwjygPhUEYIgVftVHsGHw5qTZ5WmajoIxoaCBJBRihvMFyZQQVb/LXyPCAWxDA0nyJY2xGWdwpQgyOawNM2lwI7dSNetShur7iAYGwoyjQxT2l5YkxUULkhXcoSiILcSNsaSgpSnp6cvJ9346QUNvdnrIzLkfgX3SvRzc3O7lzw2uM8ns0vpX4+6kmkP3FTSmnEHwTiGIGPIX1QvyGPKBWlHOGoQ5E6lIaMOgkFBFAoS4erq2pU046dPa6j/q/xO+v95mU8lhYeHv0Y+8/4jPL70QlvPe0nCq/5KWjPuIBjHEGQ0+ZPqBXEhYUpTNYIsIU2ylKZqOggGBWHYxMpsm8oLctLlmqIUv4l1bAU//tzGzuIFSW0L2I1tHILsb0ZeUZqqFqS8F2nxldJUTQfBoCAMggz/UTzM+9s3ilK8IIU+WXkxXVNnCOdBfvxJaXONRJDKp3qQTtEKEtf47du2ZBM/vaKlM14kbbvuVdpYdQfBoCBwQRKaBYV/RN4Ln9PskJKUsJN+3Ce8f4t2PW8n3Vy7NFO+ZeCsgoTwu2a9SW9+OqeYLny2Dxn7qPnrfSoe5bdvbyPd+Wm4NqfDVuKysC/kvr4oSD0aSJC1AwcOvI/05KeblKR+JJ6U5m4MXrCXu4eEctxhpc05ryBx8+fPH0je5qeRxTc67+9Dtvefo6yXhk2sn35KIy5Vzy5WlqrpIBgUBCDIsSYvUviZ9KQPTtPGcqkJwybWX58Kh3mT2pu+kaAxekGS2+UIh3n3dbmhtDkURAJLC0LPCJ8HXs0rCaMgh9teFs+D/HekopRekDc/jQ0ld8XGPv6P0uZQEAksLogICiIJoyBftBs4sDV5ZuBTza8oSekEOdu/b9/HyG19+/b9XGlzdi8IoKIDCmLAmQUZS4R7mF/fHx4efi+ZEB6+3nzpMZ4XWghHyZ3vTLq+wpS+tJQdVJjat5yiILWwtiAXhl+k8EtNKsTx6nSC6CtM6UtL2b7ClDbpLjJhZ7lekI6wV0VBJIEKogOv5tUj3t1dX1qq4StMZaWLhD9ZKc2O4FYkbkl4RQb/fB25vczEYtIU5fGTceR/oFBlbjE/6UX2gUJiB8EUalhSYgdleOlN+fnFufxkCvkR1qqmkJ88SaJhqYyKysoTxAUWEjsIJq+IJSV0UI4nw3UjtOaUmCiIvrRUw1eY6uwi0rpXliQXxp9tReKvTErN4H94ijSfJr2YKYTUSPITPJR1H9nKkIKSmdkQqX6/m5zlFWXIjyP/VdhcnPfYaZuu6VKPkTUKU3qE1bKftIGF2FYmU8hs6tFeuhHauXaFKX1pKZtXmLq4kN5FTtD1HL8Fs+le0qm9GvKquIlVh1OkJ9VvwUwk/1HWWnJgWtHl0PWsm1iauC3LnXATS19aysYVpsqn/faW++3kB/fBPx6iN3vNIN2H/Qp5VRSkDgfEvThx/L0ufinZPOVewsdfHniZTZB907fsm0PawEIOIIi+tJSNK0zd/HfswB94QX59zT2J+gw6RLpntz8KeFUUpA41gpy5g9y5R0lj12aLD5uSmAS56XFe/D5IJShl34KIFab0paVsX2HqincLMk91XJuR0e6kcJg3AHLnHxSkDjWCfPgaeeVpJcM2J0B8WHuQSZC0GbovTF0EpexaEF2FKUNpKdtXmCpsSZbk8ePvx1HieZCKxyOUvyoKYsSRz9zc3iR3uLm5fZ9Do3tOJD8+u1BBY9qZwi5orvcNJkGOzhUFaWX6OI8Udi0ICGucKBR20qn2ZLO7XO4mTV1c7lD8jR0UpBbX5s+fP57cxU/DcssfWTaNDNvfSUnzV1SRKbt9Uth20rMnlAiCtARcqUhREAlkBOl5W44w/m5oNHGkq0ajKTa5ZD1QkDoYNrGCXtEKJwo/H6OkucL49TuyWU8ULgnNqoond8FCKEg9ZAS5LFzzdguXmvxLxsJS4vgb1FLRFXnVOJQg6R0iNf+QrzWH7jqrvFU2QS7v9p803rkO80JwhIsVr/xzAZYSx19JDizkUIKEuLi4tCR38FNf5a3ipSYMOIIgYMyNP0kcQ5Drd/8fxWuxaoGCgHFiQehNYTjcgiAvEOB4EcZfftc3YSEUpB4oCAAbXs17fBXg20IC5safJChIPVAQAMyCFEV4TwtJuxVBwKAglgEFAcAqSNXCTZriNP80FMQIFASM0wqSGioMhvQZKIgRDi+I9nj0rqsoiDGsgmyLFx+maVCQGhxdkLJFS/bsmrEDBTGCVZAdscK0fGoBClKDowuyVbgl4s2gMyhIDayCXPEXvjy9c5kdb2Jpj+9KVKMg9TEpiI84xhM3CuMvldwDe1VrCnI+C1ijWsDKR7HifHcmrZiRb7+ClC2Yvz3SJw4FqYdJQaaKg+HwGkGQov7K7ulXjfUEyV8xNmDaTsgNmkWsfR7kcvSGpHI7PswbuZ5fvND/NApSF5OCLBC/EL8xjmkLxmqCVM7fdpleD9kBzdnoROGVm3YqiEpcH3vXoyB1MSnIRb+zlWXxQaX2LciJUGEfpNATUrRNwCaCnPafMG1x1tomfrBWrSHI5HJhmroKBamL6cO86fMnTwu/wbYPbDVB4qPFDgbBKo3ZRpAL/mfyaKpfAej+MNQ6gsxOE6brY1CQusidKKzQsh4kspogB8OFDlZ6mb7FnjS2ECTkuLAPEr0d2qo1BEnzO6ctjwvQoCB1UXQmHYzVBCnyPc93MHY5NGcLQVQFgiAnwX21ymHe4zOmTQnLxaNY9bC8IOcXTJ2+7AK8J1mnUqF/B3hOe8/dvGAuOGgLQYIyhPGXvB7aqpVOFBaW4YlCCSwuyCXvo+VFW72gfwzKVvitCvC9BEzxlOxOSIefNLaFILtXFufRkiDAl2114Jl0BuxXkEWp/KRk6W5gbHN4Bc3j/OGr2hHOpOuoWuW3epNPHLhVRkFKr1wGb7KiIPWwuCCewsdZsm81LHXTs1QYf2tSgK05kiCUntqSAPzGvQCbIDtU8xeokoAhuxakrFJbqaiCkID9CuIrrOOSnRtgqVzhNoJ5GSu2AVvTd7Dsl3mwlA2/UQiGSZCLE64KN2c8BUtlHWbYDbSWIK0JIX3MlpbSY7+CRG7kJ9dVabDUzWnFVB3k+f1vUbCbyVZ/YeVeWMrpBQmPFMbf8VBIpnDlVD+vdaUV0cABbyVBvlWr1RqzpaX02K8gZXMXJ+7xAW5hUbp1ef7MmL0BecuhpwnEDnKkByzl9IIsPCCMv5xAQEQbGlOYVxaxejYZD2vLSoKMEKfmSkvpsV9BaNXBqJjj4PMgFRtG/jQ9MIMWeyrezNSBgkiyOloYf6dCAJFLs7V8Byt9x5GfYG1ZSZABA136H6TmSkvpuWVBSlyIjgcy7ISwWUeu8g+TTjBko0k3S3eHhX6jGuJVz4QFBG28DAwd8DiekZE2NQ4Q2TFffJgxjHwFbKxBeKyTboC6GPTzqyz54j6tudJSlhKE5mtEtvWpkqUyQ36+NMV58MyB8NySqqrSaSWwmNjBZNIDlirSwJbXkWumby+9Kj+/JJeh0bzJG8+fXrawAhiL9FoSNn0XJHFmntDByoC/yHBYU3nFsOV1ZFTKz++zTTdC840G7XmSZ660lMUE0WM/l5oU+XGltGoT8PCX829irdrCb2JpwxKBsYyCs6fzzS9mROWcFL6DcaFT7HMTS9jtyOlJzZWW0uOEgtBLXgvWzFwB2AXZt4jqO5gMrTXmQIJ4XxL2QQ5DD3swnElXB88JDV6Ub6eCeBRRGrjVbGkpPVYRRBir1rxYMetEaiZk+eBvqL6DHqQp7J7wDiSIjyhI6hpgDCrIynRKq9LiLlM6knwAi1pHkMQho72E2nVmSkvpaXhBKnb7TPJPqLLnq3mfblukEyS3DWn9KSjqQIKEi5tYi5OBMaggg4U/UWIHe5MOsK8wN85LTTauvEHVoTvsWZA7SZpOkP8NIvd03Q2JOpAg+VMiLp5dHgL92j1QkNLuP1BdByM6kK5zQNlGKUhmgPAlzOLp+XYqSIFGo2lJkjWavAx6rE0U6RHyGOTmJg4kCL22dfHyJOgFBlBBkkgXKnaw1PW/5JMOZo8SGdMoBTkcLj6EnoULcnzLZq6hBSlspT+NQ5pvoW9O40iPqn5zAU05kiBWudw9gXSmYgenv8PvpH8/ApJtlIKcWio+zLkCFaRqWfC+fTPngm/EQ5k3sTY9cFM4zJvQHvBrDwUxYlt7F5fWpImLi4trzjWXU7wg2e2OAppqlIKU+glfXjoZVAkVZN9S3o2iefEMfYEK0oqc4QW59NC34SrSPjz8kT+VR1EQIyrS09PXkQ789GreV6OocJjX+w1AU41SEHrOd+u+jX7XwDvpIcI35koOKakEXheoIIN78VvmNxc/0+f5AeRONze3CcqjKEgd9Psgu5r+pXqL9FdNum2r8mzjFIQW7o9MKoWfB5kn/OUpORHM0BeoIMJ5kMoF8y5n7x3hxGfSrSNIUacvKc2N8/7kx+HPkkeGDx8epTzbSAXRARZkk3CXw5LNGxn6AhVk/xJKDyy9xj9bbiVBLq+bveSg6Q/WgQURzoMcUq3fsiSowE7PpMOwX0HyfRILC/dMZhmALPfm3ZAidDDBOoKkTk+5ejbUtPvyguSk7DnM0qp1BJmQoPHO5g3euRwFMcby12Jlr1apwk6z9AUuiDZ/Y6LQwf3W+Uah13F+Uj4z3dR8WUF2e2/a6LWK4eiete5qsn+L8Ceu0vNfFMQIO7pYESxIeYynatTI8/yz2Net8Z30fA+xgzG7TC0gJ8gZ/wJamr1kN7xZawmyc6e4DejnY6ffKASBgvBsXF1MS0Z9c+joZl/Yhd2iIPDtuYJ/xcx2k3fukRNkfbKwD3ItCNyq1QQ5skj4RmH29NKNRbCgKAh4daIgYICC5PgKV8Pc/Dl0VTz408mP8PLyjC4Hpsf3yoEAACAASURBVHw4flIyw+Tt7eQEWX5SEKRQBWySWk+QyvlbNHlXZ0NvFSQIUrmTX53bYF+WRkHAAAU5tUyYaueY/fqlBGuDNfTG8ghg6vi0mDPcTNO3JpITZNt2QZATDOeHrHZnxcK1Eyf4HoA3pSnZujiP3lgBu6lqhvbY+lX7TP+OQkHqARTkgrjfofU9z9DSVKFeQplfNjCWtXXRmpOm58sJku+TSkuP+JncwTeNFW89WgL6Po4BTdZ0oYvl/qCxkrFmfvLRjUEm3xwKUg+gIJVBwl1OU6cylCg8vVDcSV91DBa7pROFl4OnT598BNagiP3fm/f4YvFxDego9s75whG9WJN/dlCQekB30jP8w7aH+aUytHQxSBQkBHgj6Vs8k16cY8cnCkUYBTkzW3xcDLpb4CLxNrPXvU3NR0HqAT4PUpa6K/VmBq06FBVj9kZJtajw3k+FqjHAe3A58aUmOhgFKQwU/nac8QUVwpsv/mYr8jI1HwWpB2Od9LJ5oQnxgYqvbRGPCJ+ZHB7y0/89swt23s6JBalKDPaed6iE8ebVV33XLPvOG7Z/tXmlME0OMzUfBakHoyBb1/EPZbOVfoPhHeFiseLM0N/X/t7knUilzWRUdzBuismFHFiQ6AXn+S2lXcAOVjwjTDUltDT5iabKjw+Lh64uz92SpR7zk8mKjShIPRgFCRBLCnBrFQZe30qrDgR7fnroQgvSYrzC6p8a8bZCedmZpeWP3MGZWspxBVH7CI1cn3oV1kgJ4Vup3BY8a8WclqSP0hbXfyd2sHT7rL+bP2ByKxcFqQejICrxTsYnVigM8IJsXHh079++b/cn/Z4/qCyU04qf5M6cGuj5Q8dWz5oaCY4ryBHdbbfmmnRfGlGQ1bNPqve06U7uX6UwtcTN0ME3etxj8swpClIPRkGWiIN84w5ly6tbf30p4Gbxydlr7h5FRrkovIZr/x2zVp0L3lxMz93ZnvRaZmIpxxXkuO4tzQJebpxKztDTs3JK6MRXuxDfexReolItyNbuxMXlmomlUJB6MAqS4X24rHhngIIr5i55q1Q/krs/cVMtyvV58Ivfya9uDys6i7Ln66aRB/6Ywndw2HcuZE53EyPBcQUpVAmfc7oX4MxpJsdxX5IfuHnBp0u41ms7kp2D/1WW/OmhSrGDN3sFkA6/fWNiKRSkHoyC0IsLp05fpaTFhOHDhz9HWj7/0Nsjr0/pMexLMoDrb/4WUOvdR732MBng/tHj60tTXHLakQNDTIwExxWEHvbedXS76higg+59+/btRLr07f3gX5FPfLS1Ndlxru0Fs6mt4eHhrcnIEb95HNX6DjhIOmg6mti5ryeIstJSelAQA8AOHvdsMTRbFbQvvX3IL0PICMp1MHkYxcBi9++HPE5e+vDprkPiX/KrcCEHTI0EBxaEZkUu35YH7eAssphemTb5ubumh99DZtOxQ80Fyr50c3NrTp4Y9M7LPyfc+dnLpOUq377Sx9rrCqKwtJQeFMQAsIPLj/E76bv/GTuuScs2bVq0cXFpMtN86OiqDbdN3Kr+OPTbe0u3PHDbefqX9I1OHVkQEWgHhZ30m7+89eSdne5sd3d7125NFJ0KefYu4bBK6ANvBiQ367xy5hNLJZeqK4jC0lJ6UBADwA4uuMgLQhO+nrv6nK78hEbBTsgN77MtF9Nr7h69Dberu02yWm2jFCQhfOKUgNCoCUfHpqefV9Toz28L04CmhpX5rORS9e7urqy0lJ5brzD1tKtIt17Z8mSYmS9JViZLKjOLJQXrYMjml1dkZ2+fA+vg5vHNg7dNjLu454edcov1+1n+ZRhXC1PKKp/bJZKVvWzb8jV8cuyuAKWpb14Xpp4//u/06dMp41bPvyi51MOP6kboM/qjLwpLS1lKEHqYEwl5rFyWsgz5+dIU5rKkcosYQsAOXvHcqCk/5XUyD9ZK0h2/rbtYnntjcoHcUi++Jf8qRUyrJU+2TVNklDGEoB0sm1VeHrX93FSu/PoY71NKU+P7C9Mx0yfll5efnxUVI73UY6G6EWo48qywtJTFBNHT2DaxaPpMlfeMNPB30g968xtVeVHyZyMb3SaWwDXfi2fmTP/2O+U3K73svvbche2/+K7eSquWRvqYuJih7iaWwtJSelAQA/AOFhWy3LThkPemmDkB8vuIjVIQun/yhu1zgiCfXXncwrmRZ7d4/z76tz9Vpi7hqiuIwtJSelAQA2wdZLirSX7KrkQzQ7VxCkLT98SdgbeWoc3ct3z1AZMjpd55EGWlpfSgIAasJgh16svddTB+HwRv+wMFBZEEBTECBQGDgkiCgjCAghhAQaRBQWpIEKelLGsEBYGAgkhi94J0FqcxoLpyBlAQACiIJHYtSPnha8WdSnmKwlqxvBAKAgAFkcSuBSntbLjki7zI8kIoCAAURBK7FoTuWbH2wWUCG5VeCVyL6FbPy/LCb/LzpXnvS5bUf99hCL1oxQ5+NUh+/p13ys8f9BVLq1++x5L67UWG0Dv/ZWmKsYMvyM9vFW0ZQXg23cILRbd6UZaXPpGfL80b77Gk3n+dIcTWwTeZOjjYTAfv7CQ///XBLK2+9yZL6pOXGEKvv8/S1HtvsKTMdbAVSxU/aUFo1ZZJM1nu+sqz7xEOsRR9vrd1D5yIh2ItJkjRa/weSJNxbId5URDLgYJYEAsKMvbBZVfLzvwWjoLYGBTEglhQkAHiFfXafxxckKBnSJcB/do/s5ILfpm0fe2Dx3qOTOG4hJGvPtft1Tm6RRY/dWfnobs4bv2Ld7sM2s5xO4d++cngXbbtthE2FQSw+nji/oiqWY08RhnjuA2xoCC/6B5+dnBBuNXkd46LauvKcfHkY45L+Q/x4pL7/5TMJX39obhATMuvJ71LBnAp3X5Z+s8dL3IJrjM5buyjtv0gjbDtXxDFq09gEFlbvRpFajLGT22IBQUZIe59nO/r6IJECp8w92bzZI5ryn9E3EbyJady4X/iNgwTF1gsDMBBZPem3/jH7zpy47vxjwnNZ9qqw3WxrSCKVx8/XdCfRHCG1aijOlPrqe2woCALvk66ciig6/8cXZAo8RN+ph+n/4hWEg/u627C34eUA+ICq7fwk8lkw759/OPwD7kPegv/2+1n23S3PrYVRPHq47gDH3iRSM6wGnVUZ2o9tR0WFEQ7pgkhZBCweK99CpL896PbON1HlPTGMwncSPJdnX2MMW0ThYd1b+/lPm+xh98gaP6xDfoqie0FUbj6xoZ5kxjxR2E16qjO1HpqOywoSAI9s2xuQonDH+aNIg+/3eNhd37Q8x+Rz+cvuvO/4eKeIqTHwNHx1QulPCr8YpvSv/vTKm4BGRQf70a+tVmP62BrQZSuvpivOW8iiKNbjTqqM7We2g4LCnJLV/PalSC/c9yKnp23CR9R2O1PJAn/mbJs/JCepNtuw0L/GyxMdyen/Eqmc2NbNevrRabZqL/1sLUgvytcff/dyQsi/Jd+NYrUZIyf2g4LCXLLV/PamyBcAPlV/CM/hnxjmJE8nPjon4Y+ZfjFdqDFO/yceG5Cizhrd9QUdiCIktUXOoHTC8LpV6OAUaZ23EZYSJBbvprX7gRZR34UP6LkF8ls/necuCG8k8zTLbKt/05+qvtsO30mTPd3+9UWfZXEHgRRsPoeu71589vI7d2MV6NRptZT22GpTaxbvJrX/gTxJvN1u4nbXdpt5zwWCXOWttHtSsa9HCk8fCpsU++8bSU/TRry2gEbdbc+9iCIgtW3ed26dX+Q0DVGq5EzytR6ajssuA9yK1fz2pMgG4VPeH33j1O4ePI2/3Mg6Zc85tUYjot4PFhcIKHvR2N4PMe/tZdLfHc8/z8r+32faMsu18a2gihefcJzDxLJ1axGjjPKGD+1IRYURM82WE1j+xNkCGn/3LNPjj/ATXuV3O0WwXGfkecDBrTvNfCTzboFhuq2JR/f/MZDAz4Sbt36y89bbdrjOthWEMWrj+OWfdGD9P21ejXyGGX+qHkaa7M3Y1lBSo/t3bt3xwCW47z2JEg9kg8k281lJEqws4sVWVafUcbGa9+CguzsqPvV4Oh/QRweOxPEsbGgII/33XL0GI/T/QVxNFAQC2JBQe5IY3+h6HbfIJai3ZO27oET0W6zxQR5UVcZTlF9uHqCPPmlLF98Kj9fms8/Y0l9+jlDyJ462P0lM60y9fUzltXy5adfMITsqYMvbreYIJfGCnWn6Q8sL4S3/QGAt/2RxL5v+yO81N1t77333i5NWF4IBQGAgkhi94J8+Pqf7u7uo3qwvBAKAgAFkcTuBVl0XHxg+046CqIcFEQSuxfkVkBBAKAgkqAgYFAQSVAQI1AQMCiIJCgIAyiIARREGhTEMqAgAFAQSVAQMCiIJCiIESgIGBREEhSEARTEAAoiDQpiGVAQACiIJCgIGBREEhTECBQEDAoiCQrCAApiAAWRBgWxDCgIABREEhQEDAoiCQpiBAoCBgWRBAVhAAUxgIJIg4JYBhQEAAoiCQoCBgWRBAUxAgUBg4JIgoIwgIIYQEGkQUEsAwoCAAWRBAUBg4JIgoIYYU+ClFVqK8ukZ6EgAFAQSRxXkMLhHdt9VUBpa0JIH0pTJ3sOuVBnERQEAAoiieMKEu5RwHUbS+m3arVaQ0v6VdCQgXUWQUEAoCCSOK4g0eWU/v0BpboK6iu+o/QaqVPqEwUBgIJI4riCCAz1p3TAQJf+B6nHX/xwanpG//9X00XCn6yUpSJDfr40RXksqdxihhBbBws1LClzHXzpTfn5xbksrWoKWVIZFQwhtg7mFbGkzHXwyXDdCL3asIKcf+smpX6VJV/cp/3lb/7nu0/o/r/kIVeRbq7Z8mSYmS9JViZLKjOLJcXUwcwG6WC/n+XnM64WppTDf26PPKEboQ8z/X1SKkjhh5l6UUjeuJH84x25tRfATSwAuIkliQNvYpWPuMhPhd2OnJ40+EP+aZc6lT5REAAoiCSOK0jlb4lqtbrco4jSwK00s3MB3TCuziIoCAAURBLHFWSkWB06MXHIaK89/I/rvgn0qHu+EAUBgIJI4riCKAAFAYCCSIKCgEFBJEFBjEBBwKAgkqAgDKAgBlAQaVAQy4CCAEBBJEFBwKAgkqAgRqAgYFAQSVAQBlAQAyiINCiIZbC8IJdCpnktSWfpCwoiCQrCgP0KkuGdWla8fVoRQ19QEElQEAbsV5ClyfykZM12hr6gIJKgIAzYryC+wtArSQ5j6AsKIgkKwoD9ChIkfAGlZM9qWErLzfUO3sGyolEQaVAQy2BxQWLD+Um+31FYKi74nCbdfxuwLQEURBoUxDJYXJCKhYsS4v2WwUIF0/P56eVpDMMWBZEGBbEMlj/Mqz25fWca8DzI6SXCNG/xCWhjKIgpUBDLYB8nCs8tFKZ5C07Dm3J6QbSXmc66oiCWwT4EuektfHf+2JjdB8GDwdkF2es5beKSXPPL1QUFsQz2IQg9pYo9Gj1k3Lb1qoPApJMLkhCsvl6we+ZNcBAFsQx2IghVRy2fNJPf2M7xyYEFnVsQrSpb2AdZngwNoiAWwl4E4VuadkUYfzE7gDGnFqRwuriTHh8NDaIgFsJ+BCmbLI6/pM2wmHMLUj71piBIZDw0iIJYCPsRhPodE8Zf+H5YyrkFoRs2aa8XZ3jD1ycKYhnsSBDO+xKt2jcDuLadXJDSBXPXrVAdAedQEAthR4LQ7VP9PEOA++jOLgjVno7ZfwMeQ0GUYKgwpS8tZfcVpkry4dfzOrsgeCadCVCFKX1pKawwVQMKIkljE0RfYUpfWgorTNWAgkjS2AQRGOpvKC1Vu8KUHhQEAAoiiUMLIlSY0peWql1hqjXR8UBGQ3DxyKUGeV37pt8oW/fAiXi8k26Atm74ClP60lLWqzBVsvrfIK9IE5XZTYN/QSTBvyAMgCpM6UtLWa/C1PL1OfTm2g3QGAoiCQrCAKjClL60lNUqTF2ZWcTvg5T7QNc2CiIJCsIAqMKUobSUtSpMHQ4Xd9IXnwXmUBBJUBAG7PpM+tlFoiAzoVEURBIUhAG7FqQ8iOMFSZoH/YhQEElQEAbsWhCa6Tdvy+I54JWNgkiCgjBg34LQggMJp6vML1YHFEQSFIQBOxcEz6RLgoIYgYJUHa6EpcTx93k72AXvKIg0KIhlaEBBAokKlhLHXy+SAAqhINKgIJahAQUZT0bDUiiIJCgIAyiIARREGhTEMqAgAFAQSVAQMCiIJCiIESgIClIXFMQIFAQFqQsKYgQKgoLUBQUxAgVBQeqCghiBgqAgdUFBjEBBUJC6oCBGoCAoSF1QECNQEBSkLiiIESgIClIXFMQIFAQFqQsKYgQKgoLUBQUxAgVBQeqCghiBgqAgdUFBjLATQcRelFVqK03cKRcFAYCCSOLAguT53l/BPwh3cu9j9QpTKEhdUBAj7EGQC4MjiCDIt2q1WmP1ClMoSF1QECPsQRBKr4iCjBCfs1eYqhwZCuseVBDtJWGKgkiCgjAAE2TAQJf+Byl7hamjpKfSjmkXHKRwQTzJUoqCmAAFYQAmiF9lyRf3aWtXmHrUVaRbr2x5Mvh/O0hXM0tVE0We5qdZmfxkFPlJaeor4s5PM7P4yb0kUmmqpoNgMjOZUlny8/v9LD8/i61VphTTamHsoJnVIo25Dj7yhG6EPtagFaZ0gvCcJ3m1K0xdShcJf6JSlooMfsKR7vJL1RBLevHTojx+4k5GKk19TSbx09xiftKW7FaaqukgmEINS0rsoAwvvSk/vziXpVVNIUsqo4IhxNbBvCKWlLkOPhGuG6GXWPyACSLsduT0pOwVpg6R7ko7tpPcS/WbWO+Q15WmviFTqG4L5mxT8ovSVE0HweAmliSNbxPrEimj1KOI0sCtt1BhikmQ3JakhdK7iNYI8m47chfodwYKIg0KooRN35PRcTRxyGivPfQWKkwxCTLqcfL4zwpT1YJE3etKPv2v0saqOwgGBZGk0QliHksKUn6Q4+aSLhzHndLQY21+Jz+1O2w+NYrfEWtNXPjpv6XlD6/qRbZ33KukNeMOgrG6IIUXc7QoiDGNUJAIfpB3Jc346dMaOnDKeDLaW8FeyEVeqEHk3bAE7mRp4ADhMO+cvoDaIg4hiDZ6+tyZs86jIEY0QkEEDJtYkfeV8oKU9VZUCzrtWfLDBv+svKvtDwmCVD65VGlzDiJIwoICSk/5ZFtVkJLMfGgIBalHAwmS+cAa8URhhKuCojhFvm78PsiR2bm/36tStSe/qj7ooXyVO4QgvlnCdOt2KwpyebPnXNViYCEjFKQeDSRIMHmmbxfSuW/fJgvMZ46uFHfSZ6T5Dx8+/G7ywfDhv95Q2p5DCFIxSRwMKeFWFGRpWDGt2hFcAQqhIPVQIkh5OOlk4mr5eugFSY+Njf2CfMJP1eYzKRt+EASZf8RpLzVRiQMvOsp6ghSPE1OLToBSKEg9FAiSGTCVuPhdVfZ6O8lDFHot1uWgf8kCWuh1zWkF2bmUT15QXbOeIBme4viLgo0yFKQe5gWpnMnxm1iHZyj7Y539tHDFF/BixfCVu7TZC+Oc92LFqo0+K0N8T1nxKFb+P+LntVLBcXYjUJB6mBfkUrC4D7LgHOBVgYKUx3pPCjigdV5BKFUfOV1q1fMgwZH8ADwRACscjILUw7wgaWGiIKuOAV4V/oUpYR/HmQURsaYg5+bPjljsdxEWQkHqYV4QtW8ZL0hFQCbgVfEbhZJY9URh1flDaUoPrRhAQeqhYCd9w6oE0i08HPKqKIgkeCbdCMcXpFx439qMq5HjPyZ3R4A2ZlEQSVAQIxxfkOfv5leXduOMvcl+pCvsVVEQSVAQIxxfkLvICUqvTCwSzqS3hr0qCiIJCmKEMwiyd43/yAn8jt5q0hR23RsKIgkKYoQzCPIHl7vKfWGV9knSbDLoVVEQSVAQI5xBkPWUHvELO7CqF2ntAhqHTIIUrgyasymfQZAbEXPmRsJGEQoiCQpSD2lByia6u7vfTr5zdx/r4RXcfQLp/Ot3kFdlEaQkYPWFzGg/V7Ag+b6xmdc2B4GO+aMgkqAg9ZAWpNxPpVLdQUaoVNMTg57p7UG653U8AHhVFkGiNgnjb1tXsCDrY4THDTsgKRREEhSkHrKbWKHCTUEn35UmXGoS9AJgjbMIsvC8MP6udQALMlP8NtJZ0N1RURBJUJB6yAriHn440fOV0eK1WBWPr1T+qiyCLDonjL/LHcGCzLomPJ5eAkmhIJKgIPWQFeRw/Kr1m5sRPa8of1UWQXatFMbfOvgm1tYI4XHZHkgKBZEEBamHjCCtySn4V251sAhSMW/eoZOrZvciiaCmtBmlM8NPHg9bUAlJoSCSNEJBzK0mGUE8PipnFUSTfCSXehEPUKgiKmxlfPmktwrML2oE38GyPStXJ4D8QEGkaXSC6CtM6UtLMVeYggpy3HPWCu8tRRsKQSmz408SPFEoDQqiAH2FKX1pKfYKU0BBsn3OaGhJCGinQAAFkQQFYQB0d3d9aSn2ClNAQaJ3Cfsg2X6QjAAKIgkKwgBIEH1pKfYKU0BB1h0SBCmfDP2IUBBJUBAGQILoS0vVqjBV+v5AkWdd8+TJ4P/tJl3NLFWLjWvVWXl5x6ZDMgJZamhCIIMllJPNkjLXwf7fyc8XVguc7ByWFNNqYetgw3xuD72uG6GDWX5twgTRl5aqVWFKuzlcZOojpbKUZPCTJNJNfqnaZHkdUpdmz9wPyQioC6CJUn0HwdzIZUmZ6+AL78vPL1CztJp7gyWVUcIQYuugOp8lZa6Dj0zVjdBolj+FMEH0paWsUmFK5Jyf91zvXaCIAG5iSYKbWAyAKkzpS0tZpcKUjqLTl6E31KAoiAluQZBLuWaXq0WjE0RXYcpQWsoaFaZ0lADvKq4DBZFEFMT/deAqFcZf7p19YKFGJ4h5UBAANhTkKQK6nF83/tKICyyEgtQDBQFgQ0H6kBhYCgWxDCgIABREEhQEBdGBgkiCghwmPWCvioJIgoIY4TyClKYf+yoY9qooiCRJqsm+UTehraIgDFhRkBM+oSu8N8NOO6EgUhzwP1SVtyYMegYPBWHAeoIcVV3iB/yi/aBXRUEkqPC6zI+/qnlpwFZREAasJ8gq8fh7lj/oVVEQCdQzxPEXDf2eDArCgPUEWXhIeNAXMlZKiabscnaV+eVq4+SC5KtKhPG3IRRWmhkFYcF6gqyJFh6uBYBetWSbz9xZsy4B++LkgtBF8fz4Uw8lExQ3KL43qCAXIsUoCmIRzAqS5nOG/+U3F3YvngT/fErP+N6A9cXZBVGrFifHeP9Khilt70TTUxQuSP8WwgYuCmIZzB/FOhcQHDI9FvaqfseFaTTw8iFnF4Tm74rcmztNuSB/EneqF+RB5YK0Ixw1CNJCaUgHClIPBedBKq5dLAK+6oRsYZq6FpZyekHE8QcQZDT5k+oEqbqT+CpN1QgSRJqkK03VdBBMYxeEAdVpYborGpZCQepQI8i8VqRnucJUtSBFXUiLwUrbqukgGBQETEzwTUozfbJhKRTEiPXu7u7PkX78dHkxze3QmzwTaD5U/oSrq+ttpDs/Xaelk14jbe/dpqSxWh0Eg4KAKV7pvSLU5zgwhYIYsa5akDXFdNR3fcjCDjnmU8c5jmtDlnHckQvai21jiMuKR5T+4dF1sOrcwdPAw9AoCJwSTe6RNPBwR0HqYNjEOtouqw+J+eknZSnDJtaXo9OIi/blmUpbEzqYHjw3YlHgNUCEoiAM4Jl0SVgFeXO6cJg3px2nKKUXZE/H68Jh3oPt1Uqb4zs4Q7jVxsFAyF8dFIQBawtS8n+w+2RbX5DdmRQuyN/i7b+vb+x6TfM42aD5501FqUebCW1de+Gj8EDSKjz8ccA99i9NE0dtCOxyMRQEjLUFOUh6wlJWF+Ql4UasoiB/kg+VtpfdVLgryfX3DRVampwxG+HZMkKYpr8/cOCL5PaBAwf+prQ5Sk8FiQ/rDiqPUBSEAWsLwkG/0WVtQU6JBouCPEE6Kb6uTTyLYcVrsTInChtX2tkXQCkUBAwKUocDpCPVCbK9NekQAmrVmhcrhq0ppRWRS2BfWUFBwKAgdagWpPzRoWRIZ9BFatYUJGO959zpK2AljJxAkLJKbaWJOx2iIADYBEl6rm/fh0mzvn37Dsyhs16eSoZ9+iekVete7l6cCSx75AyCtOZ38PrcQoUpMFYTRJOwI6bczgXRxMbGziJt+Glsnro9N40Mu9IWcpgIvw/CAEyQb9VqteYWKkyBsZYgR1Sb4mbO0Ni3IAKGTaxfvxUP8058F9AqCsIATBDxuB9lrzAFxjqC7JupyuA7GL/I/gVJIZ34aWni7R7zPyCvzPe/DfD9ARSEAZggAwa69D9I2StMgbGOIBOe3yB0UKvKT4GOBGsLcvP+H/lp6RY3N7fHiSs/BXwTgE2Q1PCFKzajIMrwqyz54j5trQpTZSOHiwzpdUOW6xny86XJy2ZJZefBlm9LFvLTjBuqsxNJ03OgaG4OrCkd5jr4/JcmZ3295oZ+tUwg38BazcnlJ4+TjaAQNyHmZMJY4gJryjqfm46M6/Lze7vpRugohkIaDId5z5O8WhWmKgNVIr/0LpSlIEN+vjSaHJZU9nXY8i3JPwWFhRmXJ17tSFp9BYpq1LCmdOSY6eALn8jPvy6sFg/yLaxVtZpv9keXNEDkRsxQj215hVefHAFr6no2bHkdORqWVEaB/Pzev+tGaHBlgwsi7Hbk9KTsFabANPwmVrFGo2lJPJZfu5E6d6/HANK9QzKkKWtvYt04fjgTfi2WyNUgj6lzz4MiFfPnuO9ZPfMm3ZwIyjXWTSyPIkoDt95ChSkwDS5IYSvD9Unk24TzbSNIjxkvQk7/WlmQA6oVq/w2alkEyfOOK6g65g36GOJW5czI0G6OpFtQECUkDhntJdytjLnCFBjr7KTfSdKotjSDfvYnR3pUYkFNegAADm5JREFUPLYaELWuIFd9+Q3bmyH7WQSJ2CXspCeugGQWn6nyT9Rem13sC/xmRyMVRA5HF4Tv4J6uBcJh3sh7ALX8rCvIJvHGrdeCWARZdEEQJDsIkgk9S89O2H9o3GzQ920pCiKBIwtyTzP+F7P2Wr9vYoNJx9jYB6Yrj1pXkJXil4+LPcXx501+hbQZdlwQ5MJ8SGbHBuEw7//GHIWE+FWZefgsLKEDBQFjHUFmfM5PtCee79v3EdK8b9++Cr+SKmBdQaLE04Jng0VBMv9R9K0OA4eDc4ppZSjoxn03A7dc4rb7Am/WlLsgYMGkVQyDHQUBYx1B9i+hjnCxIj/0vE/yW0mBR5m2YMLHroqduQpYfiJ2gXcU8JrcijmJ2tLsLZA9OT0oCBi8mrc26UEBs1RJLJv4VdHe//781wFwzuz4q8fpEGEfpNL7ep7nZVgSBQFjXUEKMvfbuSC0Ki+7nGkfOHZZ6fViLghclgouSHKE2MEFF73JSFgSBQFjTUHSlqrm/krugaUcpUZhhWehcC3WKtiXxAXAgqQt0v8FmUIAO3MCKAgYKwpS6RtTSfeTDrCUowhy3Ve8WHEX8DbglEGQijn8NqB662o6inwAS6IgYKwoSJpwU+crt/WAfQ/OUQQpm3ZTEGQ9fCcELAjNXTB70bRVJfQh0hFW+wgFAWMVQbQpy0Ii8xKXCs/T/a6Aso4iCI3YWHm9+Kwf+GuwZ+Yu2ADa1x6XwH/WwnmQLW1Jp3mgtlAQMFYRZP2C42fjVDtmCc+rfGAtOowgZav8QmYHXITGkgKizyX7QfZcBgvHd/kO3uz1GfmwE2j1oCBgrCHIuZnCPZyOzJx4jO9l9BJYUw4jCKVZ8cdgdwLlKVTl8uMvWwUYuW8I9yLiO+j3Kr+T/sUYSGsoCBhrCLJjpzDVTt3rHxoxZz7wrJhNykCnHzjJ0up1wDVmek6GieMvRPmVI2eb9KaCIJltU3lBYHeVQEHAWEOQWOE+y1Q7Lb0s7WA6dI/UBoJcCVq83Hs5w3EIFkGWieNvsbKLWirT09PXkQ789ELe8GFUOMw78T1AaygIGGsIcnq2uIk120Hu7l4SkEZL1VuAVekEGAQpUGmETazpypLbXF1du5Hb+Olj8c0mzR9CBsz3v22n8tZQEDBW2Ulfu+Dk5TjVZQcR5NBqYQumwhM82qvi1kSCL7JNCIi5zPmlKA8kki78tDTKzc3tMfGuEpuVZ1EQMFY6zLt49nq1leqDiJVMb0WQ+GhxHzgIWJaO3py7aE9CcAQwRc/MnrkCUsAz3+VDSo/PGh8UX4Fn0o1xYEF0gDt4ITYqpQIqyFmxFvatCHI0TBCkxBN6VdWWLfwmVuXcY8AY+ETh4NU0JfDIlSuL121qBjsNwijIhX1bd2XJzEdB6mEVQWL84xLDZuXCBMnz5nd38+dG34Ig5bOTaGnGqihQuzx+ucI+CAfed4ELUu6lFu6uHQQ+6cIkiPrf8OTtKpmaWShIPawhyPkZAecpjVwtCFI2Rektl2LFgtZXp93KUazckIBZEyPB97CZXiAIcmwVNAcVZGlaxizxRA30Rg+MgiyM5Duoljm/i4LUwxqCRO57fSstS58gCDKKjFCYWpfizU8r3IWRkGb6/glmThRqTl9V2s0alhwUBNkQB83Br8VS+4uCrAPs2gsUZ6vF1QL6UjC94X1N6ODGJJNLoCD1sIYgG1Ne3xDhNeP1lWU0owVpoTC8fV0rfpo1VejggJaXTC3WEGfSM3335eTvnAm+vSBcEDrrON/BPG/YZSZhqhkTY/i2BjYDfQNeuC8R/zD4H5NLoCD1sIYg+5f0/GhT+Um/sLX0+6fJU98pS+V63Mm/qUXb+A6ubHWbyVuzN8ilJhnzJvtGgC9WZBHkimrNlt0+kAuHK56eve/qWu/vl9C19378ktIWb5zik15H+cX3tmxvUkcUpB7WEKRsJGl/84TPMbXf9g4jye8dFQ6HqGbzV3hvzi1Vx3fqRDpsN7FUgwjCcqKQMglyNfCHz4cBThDynzNZluadcHzXkIj7e5Oe4QpTYZ/ykwPT0quy73vrXZNbuShIPRpckNXVt2N0WTT5qRljyZ9BLygbR7+QiWn85seWgE+fa0cmPlohvZRjC1Lge7A077I/5KRkCdmuOs/vpE994/XHiWcPhR1d4iZMY4ImD72fdHcxtWWGgtSjwQWp0mg0W0nHC1NmLlv7StcKXpCKx1eaTQ13dXW9i7Tp3sP1h5mn2567l6x8frb0ko4tSEyU0MFTkJ3tI+SjdxdlnJj5SvMfepOdg6YqS+kEychNaDeXdJhmqvi7DQRxwhJs8A5Wun7wz5/z1oxs+cNRXhAae4/Zu0flpqenf0Dene85aeLRdz9e3plM4tqrJZd0bEFWHRdrFHoqXDyT46KeJy8MCxv+u9+r763oQnaevNvk4YtaDL93zZrE8uXDnnnke9Kh9P4t0ktZXxAnLMFGGTr4+vInR0fMHtqkTedud3RzdW2i5LRxpXszfmzv/WRCm93He5AR9JvfJBdzbEE2JgodzApQuLh73773uZAObe5p12tc+ylZT5FUOvIrc6Hyb9zchjYjL7z9Qu/+s1tHjiVt6dpe0hcXWF8QpyvBJgIXJGzQkYTDl7nvx3MiSg4QnfcVDvPSj7q169v3wfbt+z5wu+QlVY4tSLpffmleRRjg/hD+4ST+6OiPhr3WvKtr97tdXbs2NXcWXrts/nz3VsRr/vzHfvj42/SDXZ5OP/eo9H2HrS9IrRJs1QV0HpQvY2LPBXR0QDs4fsM3ewo16oIflyjPHJh5p/Dw8+sr4+OX//Ld1vh9ktVfnv9E/mWuM60WNVt9GngkesqKFT4hN5QHAlJJQeEZt8Ez1h87Fj3x2LFjx80UxRFZMHJAYWHOwBFd2rZt2+oOfvKm5GIP6QvoBDV8AR090iXYHpAvhGXPJdh0gDuYPm5i9NGDiz49pjxycsoL/DT3h6nTJ09SparOmlhMpgSbCNtqEUuwgWH53M7tjDoKWX7bLHL9RvboMVn8W5sTozQ1d9KHfPcGDxNKsAWNMrnYg5/qRuif1inBxlOrBJuBxreJRenqJesCA31CANsg2iWbymnZepVvWZ6GXvI2dVccx97EouAOVoWSHTH+W5Z7x+4A3D04dqRwFOub/0un9MJHpkuTWn8Ty6lKsFXD0MHSdV5BE1eCTk4XrZo+12vttfCFZ3MP+h43tVRjE4Rq3XfHX6Sak3viAGdPbn772rXM2HHfj/Sa+JlMxQrrC+JMJdhqYOpgcTr4ssGijCKaV5w033ep6XqBjU4QHdCreQsjgmZsuHFw6WTfPTL7FzY4D+JsJdhErPSNQhGb3PbH+QTRgd8oBIOCSIKCMICCGEBBpEFBLAMKAgAFkQQFAYOCSIKCGIGCgEFBJEFBGEBBDKAg0qAglgEFAYCCSOLcgjzEyZISLT9fmn2xLKmY/Qwhtg7u3cGSMtfBPn3k5++PYWl1x16WVHQKQ4itg7H7WFLmOviQfQiS1stVlvu7yM+XpmsnllSnrgwhq3awm/z8Dh0apFWW1eLa5X6GkD11sBekAkPDCWKOUgKrV6dD96VKKO8p/da/MUVNWJoK/YwlNWg9S6qG9YNYUp+FsqSamP2mpAThkKoH1bgBqxeJVBGWDWrFoCAGUBBpUBDrgIIYgYJIgoKAQUEkQUFqQEHgoCCSoCAMoCAGUBBpUBDrgIIYgYJI0qgFqfqC5YxswgyWtqYfYghVfsnS1P5AlpTnYZZUDYeV3pStFoH7WVJfstwM5JCKpakZCQwh7Rcsv3kVYzVBEMQRQUEQRAYUBEFkQEEQRAYUBEFkQEEQRAbnE4TlaLKjtYhYDWsJIlVzxzyb/vT+LBWUyPO9v4LSqsm9O32u+ARX4fCO7b4qMDwoxdCGrkVoCv7OEJtgJUEka+6Y5coLWpr0NiRxYXAE4Ydr6viy3IcVn6sK9yjguo01PChF34a+RWAK/s4Q22AlQSRr7pglqX0e3f07LHNFGK4HSygdYaL+X32iyyn9+wPDg1Kq27gCEUSfYnlniC2wkiC1au4opuKVHrPcgV/kNwzX/K/zIbGh/sYPCtG1ARJEn2J5Z4gtsJIgtWruKOfAwPt674ZFdMO1atTQD/YCUuffumn0oAxDGzBB9CmGd4bYAisJIllzxyyp71eUjwGmqodrWAvlhTsKP8w0elCO2Ab0L4iQYnlniC2wkiCSNXfM4h5MadldsAoc4nAViitfIIrvzVQ+4qLRg0Kq2wAJok+xvDPEFlhJEMmaO2aZN4rS9LdgmUukjN8NzqJ04V9KI5W/JarV6nL9g9JUdRtii8AUyztDbIG1zoNI1dwxS+Uff8+bCrtH36bvyeg4uvnt8XPWKs6MJAKJ+gelKUMbuhaBKYZ3htgE5zuTjiAWBAVBEBlQEASRAQVBEBlQEASRAQVBEBlQEASRAQVBEBlQEASRAQVBEBlQEASRAQVBEBlQEASRAQVBEBlQEASRAQWxc4p3T1bbug+NGRTEztn0Hjlr6z40ZlAQe2c7CmJLUBB7JxYFsSUoiL2DgtgUFMReuDjsgTZu+X7NO06nmj9uG6//GQWxMSiIvfDWFbq/hS/9rl05pUnDqn9GQWwLCmIvXOD/ffQ5TSbrKPU4Xf0zCmJbUBB7oXzV8F/6DKTaZ96mlb/U/IyC2BYUxE7If/LPQvrTm5QuJOe3xhr9jILYFBTETggh/A75f3ghiu7++w+t0c8oiE1BQeyEUDI3y+fR1/hnI9rONv55Czlu6741ZlAQO6H4/TsHXfrUJYDSE82yjX5eMYAMibZ15xoxKAiCyICCIIgMKAiCyICCIIgMKAiCyICCIIgMKAiCyICCIIgMKAiCyICCIIgMKAiCyICCIIgMKAiCyICCIIgMKAiCyICCIIgMKAiCyPD/Rl8cSwaYQUkAAAAASUVORK5CYII=" title alt style="display: block; margin: auto;" /></p>
+ aval ~ lwr + upr | cult,
+ centers = fit, groups = modelo, data = da,
+ grid = TRUE, horizontal = FALSE, draw = FALSE,
+ lwd = 2, pch = 1:nlevels(da$modelo) + 3,
+ panel = panel.segplot.by, f = 0.1))</code></pre>
+<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p>
</div>
</div>
diff --git a/vignettes/v05_compoisson.Rmd b/vignettes/v05_compoisson.Rmd
index 00abc63c4e5a6b42c84dded9b1ffa4ad0e31640a..c0fac9ca8aedf81f27fa5988699dc6f1eecce21e 100755
--- a/vignettes/v05_compoisson.Rmd
+++ b/vignettes/v05_compoisson.Rmd
@@ -111,62 +111,61 @@ mle2(llcmp, start = start,
```
-# Capulhos de algodão sob efeito de desfolha #
+<!--==================================================================== -->
+<!---->
+
+# Capulhos de algodão sob exposição à mosca-branca #
```{r}
-data(capdesfo)
-str(capdesfo)
-## help(capdesfo)
+data(capmosca)
+str(capmosca)
+## help(capmosca)
```
-Experimento conduzido sob delineamento inteiramente casualizado em casa
-de vegetação onde avaliou-se o número de capulhos produzidos por plantas
-de algodão submetidas à níveis de desfolha artificial de remoção foliar
-em combinação com o estágio fenológico no qual a desfolha foi aplicada.
+Experimento conduzido sob delineamento inteiramente casualizado na
+Universidade Federal da Grande Dourados, cujo objetivo foi avaliar os
+impactos da exposição de plantas de algodão à alta infestação da praga
+mosca-branca. No experimento avaliou-se duas plantas por vaso, nesta
+análise tomaremos como unidade amostral o vaso e o interesse será
+somente na variável número de capulhos produzidos.
-* `est`: Estágio fenológico com cinco níveis (vegetativo, botão floral,
-florecimento, maça, capulho);
-* `des`: Nível de desfolha artificial de remoção foliar (0, 25, 50, 75,
- 100\%);
-* `ncap`: Número de capulhos de algodão produzidos ao final da ciclo
- cultura.
+```{r}
+
+capmosca <- aggregate(ncap ~ vaso + dexp, data = capmosca, FUN = sum)
+str(capmosca)
+
+```
+
+Assim as variáveis consideradas são definidas como:
+
+* `dexp`: Dias de exposição à alta infestação de mosca-branca;
+* `ncap`: Número de capulhos de algodão produzidos ao final do
+ experimento.
## Análise Exploratória ##
```{r}
## Experimento balanceado
-xtabs(~est + des, data = capdesfo)
+xtabs(~dexp, data = capmosca)
library(lattice)
library(latticeExtra)
-(xy <- xyplot(ncap ~ des | est,
- data = capdesfo,
- xlab = "Nível de desfolha artificial",
- ylab = "Número de capulhos produzidos",
- type = c("p", "g", "smooth"),
- panel = panel.beeswarm,
- r = 0.05))
+(xy <- xyplot(ncap ~ dexp,
+ data = capmosca,
+ xlab = "Dias de infestação",
+ ylab = "Número de capulhos produzidos",
+ type = c("p", "g", "smooth"),
+ panel = panel.beeswarm,
+ r = 0.05))
## Avaliando preliminarmente suposição de equidispersão
-(mv <- aggregate(ncap ~ est + des, data = capdesfo,
+(mv <- aggregate(ncap ~ dexp, data = capmosca,
FUN = function(x) c(mean = mean(x), var = var(x))))
-xlim <- ylim <- extendrange(c(mv$ncap), f = 0.05)
-xyplot(ncap[, "var"] ~ ncap[, "mean"],
- data = mv,
- xlim = xlim,
- ylim = ylim,
- ylab = "Variância Amostral",
- xlab = "Média Amostral",
- panel = function(x, y) {
- panel.xyplot(x, y, type = c("p", "r"), grid = TRUE)
- panel.abline(a = 0, b = 1, lty = 2)
- })
-
```
## Ajuste dos modelos ##
@@ -175,21 +174,18 @@ xyplot(ncap[, "var"] ~ ncap[, "mean"],
## Preditores considerados
f1 <- ncap ~ 1
-f2 <- ncap ~ des + I(des^2)
-f3 <- ncap ~ est:des + I(des^2)
-f4 <- ncap ~ est:(des + I(des^2))
+f2 <- ncap ~ dexp
+f3 <- ncap ~ dexp + I(dexp^2)
## Ajustando os modelos Poisson
-m1P <- glm(f1, data = capdesfo, family = poisson)
-m2P <- glm(f2, data = capdesfo, family = poisson)
-m3P <- glm(f3, data = capdesfo, family = poisson)
-m4P <- glm(f4, data = capdesfo, family = poisson)
+m1P <- glm(f1, data = capmosca, family = poisson)
+m2P <- glm(f2, data = capmosca, family = poisson)
+m3P <- glm(f3, data = capmosca, family = poisson)
## Ajustando os modelos COM-Poisson
-m1C <- cmp(f1, data = capdesfo)
-m2C <- cmp(f2, data = capdesfo)
-m3C <- cmp(f3, data = capdesfo)
-m4C <- cmp(f4, data = capdesfo)
+m1C <- cmp(f1, data = capmosca)
+m2C <- cmp(f2, data = capmosca)
+m3C <- cmp(f3, data = capmosca)
```
@@ -197,21 +193,23 @@ m4C <- cmp(f4, data = capdesfo)
```{r}
+library(bbmle)
+
## Verossimilhancas dos modelos ajustados
-cbind("Poisson" = sapply(list(m1P, m2P, m3P, m4P), logLik),
- "COM-Poisson" = sapply(list(m1C, m2C, m3C, m4C), logLik))
+cbind("Poisson" = sapply(list(m1P, m2P, m3P), logLik),
+ "COM-Poisson" = sapply(list(m1C, m2C, m3C), logLik))
## Teste de razão de verossimilhanças
-anova(m1P, m2P, m3P, m4P, test = "Chisq")
-anova(m1C, m2C, m3C, m4C)
+anova(m1P, m2P, m3P, test = "Chisq")
+anova(m1C, m2C, m3C)
```
```{r}
## Estimativas dos parâmetros
-summary(m4P)
-summary(m4C)
+summary(m3P)
+summary(m3C)
```
@@ -223,7 +221,7 @@ summary(m4C)
## constante de normalização Z. Assim uma visualização pós ajuste para
## verificar se o ajuste proporcionou uma densidade válida se faz
## necessária
-convergencez(m4C)
+convergencez(m3C)
```
@@ -232,39 +230,489 @@ convergencez(m4C)
## Dado que o modelo COM-Poisson leva as mesmas estimativas pontuais que
## o modelo Poisson a análise de diagnóstico padrão pode ser utilizada
par(mfrow = c(2, 2))
-plot(m4P)
+plot(m3P)
+
+```
+
+```{r, cache = TRUE}
+
+##-------------------------------------------
+## Testando a nulidade do parâmetro phi
+
+## Usando o ajuste Poisson
+trv <- 2 * (logLik(m3C) - logLik(m3P))
+attributes(trv) <- NULL
+round(c(trv, pchisq(trv, 1, lower = FALSE)), digits = 5)
+
+## Reajustando o COM-Poisson para phi = 0 (ou equivalente nu = 1)
+m3Cfixed <- cmp(f3, data = capmosca, fixed = list("phi" = 0))
+anova(m3C, m3Cfixed)
+
+## Via perfil de log-verossimilhança
+perf <- profile(m3C, which = 1)
+confint(perf)
+plot(perf)
+
+```
+
+```{r}
+
+##-------------------------------------------
+## Verificando a matriz ve variâncias e covariâncias
+Vcov <- vcov(m3C)
+Corr <- cov2cor(Vcov)
+
+library(corrplot)
+corrplot.mixed(Corr, lower = "number", upper = "ellipse",
+ diag = "l", tl.pos = "lt", tl.col = "black",
+ tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])
+
+```
+
+## Predição ##
+
+```{r}
+
+## Predição pontual/intervalar
+pred <- with(capmosca,
+ expand.grid(
+ dexp = seq(min(dexp), max(dexp), l = 50)
+ ))
+qn <- qnorm(0.975) * c(fit = 0, lwr = -1, upr = 1)
+
+##-------------------------------------------
+## Considerando a Poisson
+aux <- predict(m3P, newdata = pred, se.fit = TRUE)
+aux <- with(aux, exp(fit + outer(se.fit, qn, FUN = "*")))
+aux <- data.frame(modelo = "Poisson", aux)
+predP <- cbind(pred, aux)
+
+##-------------------------------------------
+## Considerando a COM-Poisson
+f3; f3[-2]
+X <- model.matrix(f3[-2], data = pred)
+
+## Obtendo os parâmetros da distribuição (lambdas e phi)
+betas <- coef(m3C)[-1]
+phi <- coef(m3C)[1]
+loglambdas <- X %*% betas
+
+## Obtendo os erros padrão das estimativas
+## Obs.: Deve-se usar a matriz de variâncias e covariâncias
+## condicional, pois os parâmetros de locação (betas) e dispersão
+## (phi) não são ortogonais.
+Vc <- Vcov[-1, -1] - Vcov[-1, 1] %*% solve(Vcov[1, 1]) %*% Vcov[1, -1]
+U <- chol(Vc)
+se <- sqrt(apply(X %*% t(U), MARGIN = 1, FUN = function(x) {
+ sum(x^2)
+}))
+
+aux <- c(loglambdas) + outer(se, qn, FUN = "*")
+aux <- apply(aux, MARGIN = 2,
+ FUN = function(col) {
+ sapply(col, FUN = function(p) {
+ y <- 0:30; py <- dcmp(y, p, phi, sumto = 50)
+ sum(y*py)
+ })
+ })
+aux <- data.frame(modelo = "COM-Poisson", aux)
+predC <- cbind(pred, aux)
+
+##-------------------------------------------
+## Visualizando os valores preditos intervalares pelos dois modelos
+da <- rbind(predP, predC)
+
+## Legenda
+cols <- trellis.par.get("superpose.line")$col[1:2]
+key <- list(
+ lines = list(lty = 1, col = cols),
+ rect = list(col = cols, alpha = 0.1, lty = 3, border = NA),
+ text = list(c("Poisson", "COM-Poisson")))
+
+## Gráfico dos valores preditos e IC de 95% para média
+update(xy, type = c("p", "g"), key = key, alpha = 0.7) +
+ as.layer(xyplot(fit ~ dexp,
+ groups = modelo,
+ data = da,
+ type = "l",
+ ly = da$lwr,
+ uy = da$upr,
+ cty = "bands",
+ alpha = 0.5,
+ prepanel = prepanel.cbH,
+ panel.groups = panel.cbH,
+ panel = panel.superpose))
+
+```
+
+
+<!--==================================================================== -->
+<!---->
+
+# Produção de soja sob efeito de umidade e adubação potássica #
+
+```{r}
+
+data(soja)
+str(soja)
+## help(soja)
+
+```
+
+Dados resultantes de um experimento fatorial 5 $\times$ 3 conduzido em
+casa de vegetação, onde experimentou-se diferentes níveis de umidade do
+solo e níveis de adubação com potássio em parcelas que continham 2
+plantas. O interesse deste estudo foi avaliar o impacto desses fatores
+na produção de soja, mensurada pelos componentes número grãos e número
+de vagegns viáveis. Para controle de variação local, as parcelas foram
+arranjadas em blocos. Como temos somente três níveis de umidade
+aplicados trabalharemos esta variável como categórica. Outra observação
+é quanto a observação 74, que foi considerada como outlier pelo
+pesquisador responsável e portanto retirada da análise.
+
+```{r}
+
+## Observação 74 foi diagnosticada como outlier
+soja <- soja[-74, ]
+soja <- transform(soja, K = factor(K))
+
+```
+
+Abaixo definimos as variáveis que são utilizadas na modelagem.
+
+* `bloc`: Fator categórico para controle local no experimento. Foram
+ controladas as variações de ambiente da casa de vegetação, como
+ exposição ao sol, e mão de obra ao longo do experimento, como
+ irrigação e capina dos vasos e controle de doenças.
+* `umid`: Fator de níveis categóricos. Faixas de umidade do
+ solo. Procurou-se por meio de pesagens diárias dos vasos, manter a
+ umidade do solo nas faixas de 35 a 40; 47,5 a 52,5; e 60 a 65 do
+ volume total de poros.
+* `K`: fator de níveis métricos. Dose de potássio aplicado ao solo na
+ forma de adubação, em mg dm$^{-3}$.
+
+## Análise Exploratória ##
+
+```{r, fig.height = 12}
+
+## Experimento (des)balanceado
+xtabs(~K + umid, data = soja)
+
+key <- list(
+ type = "b", divide = 1,
+ ## points = list(pch = 1, col = cols),
+ lines = list(pch = 1, lty = 1,
+ col = c(cols, trellis.par.get("dot.symbol")$col)),
+ text = list(c("Nº de grãos por parcela", "Nº de vagens viáveis",
+ "Nº de grãos por vagem")))
+
+xy1 <- xyplot(ngra + nvag ~ K | umid,
+ data = soja,
+ xlab = "Nível de adubação potássica",
+ ylab = "Contagem",
+ type = c("p", "g", "smooth"),
+ key = key,
+ layout = c(NA, 1),
+ strip = strip.custom(
+ strip.names = TRUE, var.name = "Umidade"))
+
+xy2 <- xyplot(ngra/nvag ~ K | umid,
+ data = soja,
+ xlab = "Nível de adubação potássica",
+ ylab = "Contagem",
+ type = c("p", "g", "smooth"),
+ layout = c(NA, 1),
+ strip = strip.custom(
+ strip.names = TRUE, var.name = "Umidade"))
+
+print(xy1, split = c(1, 1, 1, 2), more = TRUE)
+print(xy2, split = c(1, 2, 1, 2), more = FALSE)
+
+```
+
+```{r}
+
+## Avaliando preliminarmente suposição de equidispersão
+(mv <- aggregate(cbind(ngra, nvag, ng2v = ngra/nvag) ~ K + umid,
+ data = soja, FUN = function(x)
+ c(mean = mean(x), var = var(x))))
+
+##-------------------------------------------
+## Para o número de grãos
+xlim <- ylim <- extendrange(c(mv$ngra), f = 0.05)
+mvp1 <- xyplot(ngra[, "var"] ~ ngra[, "mean"],
+ data = mv,
+ xlim = xlim, ylim = ylim,
+ ylab = "Variância Amostral",
+ xlab = "Média Amostral",
+ main = "Número de grãos por parcela",
+ panel = function(x, y) {
+ panel.xyplot(x, y, type = c("p", "r"), grid = TRUE)
+ panel.abline(a = 0, b = 1, lty = 2)
+ })
+
+##-------------------------------------------
+## Para o número de vagens
+xlim <- ylim <- extendrange(c(mv$nvag), f = 0.05)
+mvp2 <- xyplot(nvag[, "var"] ~ nvag[, "mean"],
+ data = mv,
+ xlim = xlim, ylim = ylim,
+ ylab = "Variância Amostral",
+ xlab = "Média Amostral",
+ main = "Número de vagens viáveis",
+ panel = function(x, y) {
+ panel.xyplot(x, y, type = c("p", "r"), grid = TRUE)
+ panel.abline(a = 0, b = 1, lty = 2)
+ })
+
+##-------------------------------------------
+## Para o número de grãos por vagem
+xlim <- ylim <- extendrange(c(mv$ng2v), f = 0.05)
+mvp3 <- xyplot(ng2v[, "var"] ~ ng2v[, "mean"],
+ data = mv,
+ xlim = xlim, ylim = ylim,
+ ylab = "Variância Amostral",
+ xlab = "Média Amostral",
+ main = "Número grãos por vagem",
+ panel = function(x, y) {
+ panel.xyplot(x, y, type = c("p", "r"), grid = TRUE)
+ panel.abline(a = 0, b = 1, lty = 2)
+ })
+
+print(mvp1, split = c(1, 1, 3, 1), more = TRUE)
+print(mvp2, split = c(2, 1, 3, 1), more = TRUE)
+print(mvp3, split = c(3, 1, 3, 1), more = FALSE)
+
+```
+
+## Ajuste dos modelos ##
+
+```{r}
+
+##-------------------------------------------
+## Para o número de vagens viáveis por parcela
+
+## Preditores considerados
+f1.nv <- nvag ~ bloc + umid + K
+f2.nv <- nvag ~ bloc + umid * K
+
+## Ajustando os modelos Poisson
+m1P.nv <- glm(f1.nv, data = soja, family = poisson)
+m2P.nv <- glm(f2.nv, data = soja, family = poisson)
+
+## Ajustando os modelos COM-Poisson
+m1C.nv <- cmp(f1.nv, data = soja, sumto = 300)
+m2C.nv <- cmp(f2.nv, data = soja, sumto = 300)
+
+##-------------------------------------------
+## Para o número grão produzidos por parcela
+
+## Preditores considerados
+f1.ng <- ngra ~ bloc + umid + K
+f2.ng <- ngra ~ bloc + umid * K
+
+## Ajustando os modelos Poisson
+m1P.ng <- glm(f1.ng, data = soja, family = poisson)
+m2P.ng <- glm(f2.ng, data = soja, family = poisson)
+
+## Ajustando os modelos COM-Poisson
+m1C.ng <- cmp(f1.ng, data = soja, sumto = 700)
+m2C.ng <- cmp(f2.ng, data = soja, sumto = 700)
+
+##-------------------------------------------
+## Para o número de grãos produzidos por vagem
+
+## Preditores considerados
+f1.gpv <- ngra ~ offset(log(nvag)) + bloc + umid + K
+f2.gpv <- ngra ~ offset(log(nvag)) + bloc + umid * K
+
+## Ajustando os modelos Poisson
+m1P.gpv <- glm(f1.gpv, data = soja, family = poisson)
+m2P.gpv <- glm(f2.gpv, data = soja, family = poisson)
+
+## Ajustando os modelos COM-Poisson
+m1C.gpv <- cmp(f1.gpv, data = soja, sumto = 350)
+m2C.gpv <- cmp(f2.gpv, data = soja, sumto = 350)
+
+```
+
+## Comparação dos ajustes ##
+
+```{r}
+
+##-------------------------------------------
+## Verossimilhancas dos modelos ajustados
+cbind("Poisson" = sapply(
+ list("nvagem adtv" = m1P.nv, "nvagem mult" = m2P.nv,
+ "ngraos adtv" = m1P.ng, "ngraos mult" = m2P.ng,
+ "ngrapv adtv" = m1P.gpv, "ngrapv mult" = m2P.gpv),
+ logLik),
+ "COM-Poisson" = sapply(
+ list(m1C.nv, m2C.nv, m1C.ng, m2C.ng, m1C.gpv, m2C.gpv),
+ logLik))
+
+##-------------------------------------------
+## Teste de razão de verossimilhanças
+
+## Dos modelos para o número de vagens viáveis
+anova(m1P.nv, m2P.nv, test = "Chisq")
+anova(m1C.nv, m2C.nv)
+
+## Dos modelos para o número de grão por parcela
+anova(m1P.ng, m2P.ng, test = "Chisq")
+anova(m1C.ng, m2C.ng)
+
+## Dos modelos para o número de grão por vagem
+anova(m1P.gpv, m2P.gpv, test = "Chisq")
+anova(m1C.gpv, m2C.gpv)
+
+```
+
+```{r}
+##-------------------------------------------
+## Estimativas dos parâmetros do modelo proposto para
+
+## o número de vagens viáveis
+summary(m2P.nv)
+summary(m2C.nv)
+
+## o número de grão por parcela
+summary(m2P.ng)
+summary(m2C.ng)
+
+## o número de grão por vagem
+summary(m1P.gpv)
+summary(m1C.gpv)
+
+```
+
+## Avaliando modelo proposto ##
+
+```{r}
+
+## Um dos problemas computacionais do modelo COM-Poisson é a obtenção da
+## constante de normalização Z. Assim uma visualização pós ajuste para
+## verificar se o ajuste proporcionou uma densidade válida se faz
+## necessária
+
+par(mfrow = c(1, 3))
+
+## No modelo para o número de vagens viáveis
+convergencez(m2C.nv)
+
+## No modelo para o número de grão por parcela
+convergencez(m2C.ng)
+
+## No modelo para o número de grão por vagem
+convergencez(m1C.gpv)
+
+```
+
+```{r}
+
+## Dado que o modelo COM-Poisson leva as mesmas estimativas pontuais que
+## o modelo Poisson a análise de diagnóstico padrão pode ser utilizada
+
+## Avaliação do modelo para o número de vagens viáveis
+par(mfrow = c(2, 2))
+plot(m2P.nv)
+
+## Avaliação do modelo para o número de grão por parcela
+par(mfrow = c(2, 2))
+plot(m2P.ng)
+
+## Avaliação do modelo para o número de grão por vagem
+par(mfrow = c(2, 2))
+plot(m1P.gpv)
+
+```
+
+```{r, cache = TRUE}
+
+## Testando a nulidade do parâmetro phi
+
+##-------------------------------------------
+## No modelo para o número de vagens viáveis
+
+## Usando o ajuste Poisson
+trv <- 2 * (logLik(m2C.nv) - logLik(m2P.nv))
+attributes(trv) <- NULL
+round(c(trv, pchisq(trv, 1, lower = FALSE)), digits = 5)
+
+## Reajustando o COM-Poisson para phi = 0 (ou equivalente nu = 1)
+m2Cfixed.nv <- cmp(f2.nv, data = soja, fixed = list("phi" = 0),
+ sumto = 300)
+anova(m2C.nv, m2Cfixed.nv)
+
+##-------------------------------------------
+## No modelo para o número de grão por parcela
-```
+## Usando o ajuste Poisson
+trv <- 2 * (logLik(m2C.ng) - logLik(m2P.ng))
+attributes(trv) <- NULL
+round(c(trv, pchisq(trv, 1, lower = FALSE)), digits = 5)
-```{r, cache = TRUE}
+## Reajustando o COM-Poisson para phi = 0 (ou equivalente nu = 1)
+m2Cfixed.ng <- cmp(f2.ng, data = soja, fixed = list("phi" = 0),
+ sumto = 700)
+anova(m2C.ng, m2Cfixed.ng)
##-------------------------------------------
-## Testando a nulidade do parâmetro phi
+## No modelo para o número de grão por vagem
## Usando o ajuste Poisson
-trv <- 2 * (logLik(m4C) - logLik(m4P))
+trv <- 2 * (logLik(m1C.gpv) - logLik(m1P.gpv))
attributes(trv) <- NULL
round(c(trv, pchisq(trv, 1, lower = FALSE)), digits = 5)
## Reajustando o COM-Poisson para phi = 0 (ou equivalente nu = 1)
-m4Cfixed <- cmp(f4, data = capdesfo, fixed = list("phi" = 0))
-anova(m4C, m4Cfixed)
+m1Cfixed.gpv <- cmp(f1.gpv, data = soja, fixed = list("phi" = 0),
+ sumto = 350)
+anova(m1C.gpv, m1Cfixed.gpv)
-## Via perfil de log-verossimilhança
-perf <- profile(m4C, which = 1)
-confint(perf)
-plot(perf)
+##-------------------------------------------
+## Via perfis de log-verossimilhança
+perf.nv <- profile(m2C.nv, which = "phi")
+perf.ng <- profile(m2C.ng, which = "phi")
+perf.gpv <- profile(m1C.gpv, which = "phi")
+
+par(mfrow = c(1, 3))
+plot(perf.nv)
+plot(perf.ng)
+plot(perf.gpv)
+
+confint(perf.nv)
+confint(perf.ng)
+confint(perf.gpv)
```
```{r}
+## Verificando a matriz de variâncias e covariâncias
+
##-------------------------------------------
-## Verificando a matriz ve variâncias e covariâncias
-Vcov <- vcov(m4C)
-Corr <- cov2cor(Vcov)
+## No modelo para o número de vagens viáveis
+Vcov.nv <- vcov(m2C.nv)
+Corr <- cov2cor(Vcov.nv)
+
+corrplot.mixed(Corr, lower = "number", upper = "ellipse",
+ diag = "l", tl.pos = "lt", tl.col = "black",
+ tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])
+
+##-------------------------------------------
+## No modelo para o número de grão por parcela
+Vcov.ng <- vcov(m2C.ng)
+Corr <- cov2cor(Vcov.ng)
+
+corrplot.mixed(Corr, lower = "number", upper = "ellipse",
+ diag = "l", tl.pos = "lt", tl.col = "black",
+ tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])
+
+## No modelo para o número de grão por vagem
+Vcov.gpv <- vcov(m1C.gpv)
+Corr <- cov2cor(Vcov.gpv)
-library(corrplot)
corrplot.mixed(Corr, lower = "number", upper = "ellipse",
diag = "l", tl.pos = "lt", tl.col = "black",
tl.cex = 0.8, col = brewer.pal(9, "Greys")[-(1:3)])
@@ -273,72 +721,137 @@ corrplot.mixed(Corr, lower = "number", upper = "ellipse",
## Predição ##
-```{r}
+```{r, fig.height = 18}
-## Predição pontual
-pred <- with(capdesfo,
+## Predição pontual/intervalar
+pred <- with(soja,
expand.grid(
- est = levels(est),
- des = seq(min(des), max(des), l = 20)
+ bloc = factor(levels(bloc)[1], levels = levels(bloc)),
+ umid = levels(umid),
+ K = levels(K)
+ ## nvag = 1
))
+qn <- qnorm(0.975) * c(fit = 0, lwr = -1, upr = 1)
+
+## Definindos as matrizes de delineamento
+
+## Do modelo com interação
+f2.ng; f2.ng[-2]
+X2 <- model.matrix(f2.ng[-2], data = pred)
+
+## Como não temos interesse na interpretação dos efeitos de blocos
+## tomaremos a média desses efeitos para predição
+bl2 <- attr(X2, "assign") == 1
+X2[, bl2] <- X2[, bl2] * 0 + 1/(sum(bl2) + 1)
+head(X2)
+
+## Do modelo aditivo, apenas retiramos os termos referentes ao efeito de
+## interação
+X1 <- X2[, attr(X2, "assign") != 4]
+head(X1)
+
+library(multcomp)
##-------------------------------------------
## Considerando a Poisson
-mediasP <- exp(predict(m4P, newdata = pred))
-aux <- data.frame(modelo = "Poisson", fit = mediasP)
-predP <- cbind(pred, aux)
-##-------------------------------------------
-## Considerando a COM-Poisson
-f4; f4[[2]] <- NULL; f4
-X <- model.matrix(f4, data = pred)
+## No modelo para o número de vagens
+aux <- exp(confint(glht(m2P.nv, linfct = X2),
+ calpha = univariate_calpha())$confint)
+colnames(aux) <- c("fit", "lwr", "upr")
+aux <- data.frame(modelo = "Poisson", aux)
+predP.nv <- cbind(pred, aux)
-## Obtendo os parâmetros da distribuição (lambdas e phi)
-betas <- coef(m4C)[-1]
-phi <- coef(m4C)[1]
-loglambdas <- X %*% betas
+## No modelo para o número de grãos por parcela
+aux <- exp(confint(glht(m2P.ng, linfct = X2),
+ calpha = univariate_calpha())$confint)
+colnames(aux) <- c("fit", "lwr", "upr")
+aux <- data.frame(modelo = "Poisson", aux)
+predP.ng <- cbind(pred, aux)
-## Aplicando a "inversa da função de ligação", ou seja, obtendo as
-## contagens médias
-mediasC <- sapply(loglambdas, FUN = function(p) {
- y <- 0:50; py <- dcmp(y, p, phi, sumto = 100)
- sum(y*py)
-})
-aux <- data.frame(modelo = "COM-Poisson", fit = mediasC)
-predC <- cbind(pred, aux)
+## No modelo para o número de grãos por vagem
+aux <- exp(confint(glht(m1P.gpv, linfct = X1),
+ calpha = univariate_calpha())$confint)
+colnames(aux) <- c("fit", "lwr", "upr")
+aux <- data.frame(modelo = "Poisson", aux)
+predP.gpv <- cbind(pred, aux)
+
+##----------------------------------------------------------------------
+## Considerando a COM-Poisson
##-------------------------------------------
-## Visualizando os valores preditos pelos dois modelos
-da <- rbind(predP, predC)
+## No modelo para o número de vagens
+## Obtendo os parâmetros da distribuição (lambdas e phi)
+betas <- coef(m2C.nv)[-1]
+phi <- coef(m2C.nv)[1]
+loglambdas <- X2 %*% betas
-update(xy, type = c("p", "g")) +
- as.layer(xyplot(fit ~ des | est,
- groups = modelo,
- data = da, type = "l"))
+## Obtendo os erros padrão das estimativas
+## Obs.: Deve-se usar a matriz de variâncias e covariâncias
+## condicional, pois os parâmetros de locação (betas) e dispersão
+## (phi) não são ortogonais.
+Vc <- Vcov.nv[-1, -1] - Vcov.nv[-1, 1] %*%
+ solve(Vcov.nv[1, 1]) %*% Vcov.nv[1, -1]
+U <- chol(Vc)
+se <- sqrt(apply(X2 %*% t(U), MARGIN = 1, FUN = function(x) {
+ sum(x^2)
+}))
-```
+aux <- c(loglambdas) + outer(se, qn, FUN = "*")
+aux <- apply(aux, MARGIN = 2,
+ FUN = function(col) {
+ sapply(col, FUN = function(p) {
+ y <- 0:200; py <- dcmp(y, p, phi, sumto = 300)
+ sum(y*py)
+ })
+ })
+aux <- data.frame(modelo = "COM-Poisson", aux)
+predC.nv <- cbind(pred, aux)
-```{r}
+##-------------------------------------------
+## No modelo para o número de grãos por parcela
+## Obtendo os parâmetros da distribuição (lambdas e phi)
+betas <- coef(m2C.ng)[-1]
+phi <- coef(m2C.ng)[1]
+loglambdas <- X2 %*% betas
-## Predição intervalar
-qn <- qnorm(0.975) * c(lwr = -1, upr = 1)
+## Obtendo os erros padrão das estimativas
+## Obs.: Deve-se usar a matriz de variâncias e covariâncias
+## condicional, pois os parâmetros de locação (betas) e dispersão
+## (phi) não são ortogonais.
+Vc <- Vcov.ng[-1, -1] - Vcov.ng[-1, 1] %*%
+ solve(Vcov.ng[1, 1]) %*% Vcov.ng[1, -1]
+U <- chol(Vc)
+se <- sqrt(apply(X2 %*% t(U), MARGIN = 1, FUN = function(x) {
+ sum(x^2)
+}))
-##-------------------------------------------
-## Considerando a Poisson
-aux <- predict(m4P, newdata = pred, se.fit = TRUE)
-aux <- with(aux, exp(fit + outer(se.fit, qn, FUN = "*")))
-predP <- cbind(predP, aux)
+aux <- c(loglambdas) + outer(se, qn, FUN = "*")
+aux <- apply(aux, MARGIN = 2,
+ FUN = function(col) {
+ sapply(col, FUN = function(p) {
+ y <- 0:350; py <- dcmp(y, p, phi, sumto = 700)
+ sum(y*py)
+ })
+ })
+aux <- data.frame(modelo = "COM-Poisson", aux)
+predC.ng <- cbind(pred, aux)
##-------------------------------------------
-## Considerando a COM-Poisson
+## No modelo para o número de grãos por vagem
+## Obtendo os parâmetros da distribuição (lambdas e phi)
+betas <- coef(m1C.gpv)[-1]
+phi <- coef(m1C.gpv)[1]
+loglambdas <- X1 %*% betas
## Obtendo os erros padrão das estimativas
## Obs.: Deve-se usar a matriz de variâncias e covariâncias
## condicional, pois os parâmetros de locação (betas) e dispersão
## (phi) não são ortogonais.
-Vc <- Vcov[-1, -1] - Vcov[-1, 1] %*% solve(Vcov[1, 1]) %*% Vcov[1, -1]
+Vc <- Vcov.gpv[-1, -1] - Vcov.gpv[-1, 1] %*%
+ solve(Vcov.gpv[1, 1]) %*% Vcov.gpv[1, -1]
U <- chol(Vc)
-se <- sqrt(apply(X %*% t(U), MARGIN = 1, FUN = function(x) {
+se <- sqrt(apply(X1 %*% t(U), MARGIN = 1, FUN = function(x) {
sum(x^2)
}))
@@ -346,80 +859,169 @@ aux <- c(loglambdas) + outer(se, qn, FUN = "*")
aux <- apply(aux, MARGIN = 2,
FUN = function(col) {
sapply(col, FUN = function(p) {
- y <- 0:50; py <- dcmp(y, p, phi, sumto = 100)
+ y <- 0:30; py <- dcmp(y, p, phi, sumto = 50)
sum(y*py)
})
})
-predC <- cbind(predC, aux)
+aux <- data.frame(modelo = "COM-Poisson", aux)
+predC.gpv <- cbind(pred, aux)
##-------------------------------------------
## Visualizando os valores preditos intervalares pelos dois modelos
-da <- rbind(predP, predC)
+da.nv <- rbind(predP.nv, predC.nv)
+da.nv <- da.nv[with(da.nv, order(umid, K, modelo)), ]
-update(xy, type = c("p", "g")) +
- as.layer(xyplot(fit ~ des | est,
- groups = modelo,
- data = da,
- type = "l",
- ly = da$lwr,
- uy = da$upr,
- cty = "bands",
- alpha = 0.3,
- prepanel = prepanel.cbH,
- panel.groups = panel.cbH,
- panel = panel.superpose))
+da.ng <- rbind(predP.ng, predC.ng)
+da.ng <- da.ng[with(da.ng, order(umid, K, modelo)), ]
+
+da.gpv <- rbind(predP.gpv, predC.gpv)
+da.gpv <- da.gpv[with(da.gpv, order(umid, K, modelo)), ]
+
+source(paste0("https://gitlab.c3sl.ufpr.br/leg/legTools/raw/",
+ "issue%2315/R/panel.segplot.by.R"))
+
+key <- list(type = "o", divide = 1,
+ lines = list(pch = 1:nlevels(da.nv$modelo) + 3, lty = 1),
+ text = list(c("Poisson", "COM-Poisson")))
+
+xy1 <- xyplot(nvag ~ K | umid, data = soja,
+ xlab = "Nível de adubação potássica",
+ ylab = "Contagem",
+ type = c("p", "g"), alpha = 0.7,
+ key = key,
+ layout = c(NA, 1),
+ as.table = TRUE,
+ strip = strip.custom(
+ strip.names = TRUE, var.name = "Umidade")) +
+ as.layer(
+ segplot(
+ K ~ lwr + upr | umid,
+ centers = fit, groups = modelo, data = da.nv,
+ grid = TRUE, horizontal = FALSE, draw = FALSE,
+ lwd = 2, pch = 1:nlevels(da$modelo) + 3,
+ panel = panel.segplot.by, f = 0.1, as.table = TRUE)
+ )
+
+xy2 <- xyplot(ngra ~ K | umid, data = soja,
+ xlab = "Nível de adubação potássica",
+ ylab = "Contagem",
+ type = c("p", "g"), alpha = 0.7,
+ ## key = key,
+ layout = c(NA, 1),
+ as.table = TRUE,
+ strip = strip.custom(
+ strip.names = TRUE, var.name = "Umidade")) +
+ as.layer(
+ segplot(
+ K ~ lwr + upr | umid,
+ centers = fit, groups = modelo, data = da.ng,
+ grid = TRUE, horizontal = FALSE, draw = FALSE,
+ lwd = 2, pch = 1:nlevels(da$modelo) + 3,
+ panel = panel.segplot.by, f = 0.1, as.table = TRUE)
+ )
+
+xy3 <- xyplot(ngra/nvag ~ K | umid, data = soja,
+ xlab = "Nível de adubação potássica",
+ ylab = "Contagem",
+ type = c("p", "g"), alpha = 0.7,
+ ## key = key,
+ layout = c(NA, 1),
+ as.table = TRUE,
+ strip = strip.custom(
+ strip.names = TRUE, var.name = "Umidade")) +
+ as.layer(
+ segplot(
+ K ~ lwr + upr | umid,
+ centers = fit, groups = modelo, data = da.gpv,
+ grid = TRUE, horizontal = FALSE, draw = FALSE,
+ lwd = 2, pch = 1:nlevels(da$modelo) + 3,
+ panel = panel.segplot.by, f = 0.1, as.table = TRUE)
+ )
+
+## x11(width = 10, height = 50)
+print(xy1, split = c(1, 1, 1, 3), more = TRUE)
+print(xy2, split = c(1, 2, 1, 3), more = TRUE)
+print(xy3, split = c(1, 3, 1, 3), more = FALSE)
```
-# Capulhos de algodão sob exposição à mosca-branca #
+```{r, eval = FALSE}
-```{r}
+## Testando o termo offset
-data(capmosca)
-str(capmosca)
-## help(capmosca)
+##======================================================================
+## offset 2 e lambda = 5
+trat <- rep(letters[1:3], 30)
+X <- model.matrix(~trat)
+betas <- c(-0.5, -2, 1.5)
+lambdas <- exp(X %*% betas)
+y <- rpois(nrow(X), lambda = lambdas * 2)
+
+kk <- data.frame(trat = trat, o = 2, y = y)
+kkm <- cmp(y ~ offset(log(o)) + trat, data = kk, sumto = 50)
+kkg <- glm(y ~ offset(log(o)) + trat, data = kk, family = poisson)
+
+cbind(coef(kkm), c(NA, coef(kkg)))
+
+##======================================================================
```
-Experimento conduzido sob delineamento inteiramente casualizado na
-Universidade Federal da Grande Dourados, cujo objetivo foi avaliar os
-impactos da exposição de plantas de algodão à alta infestação da praga
-mosca-branca. No experimento avaliou-se duas plantas por vaso, nesta
-análise tomaremos como unidade amostral o vaso e o interesse será
-somente na variável número de capulhos produzidos.
+<!--==================================================================== -->
+<!---->
+
+# Capulhos de algodão sob efeito de desfolha #
```{r}
-capmosca <- aggregate(ncap ~ vaso + dexp, data = capmosca, FUN = sum)
-str(capmosca)
+data(capdesfo)
+str(capdesfo)
+## help(capdesfo)
```
-Assim as variáveis consideradas são definidas como:
+Experimento conduzido sob delineamento inteiramente casualizado em casa
+de vegetação onde avaliou-se o número de capulhos produzidos por plantas
+de algodão submetidas à níveis de desfolha artificial de remoção foliar
+em combinação com o estágio fenológico no qual a desfolha foi aplicada.
-* `dexp`: Dias de exposição à alta infestação de mosca-branca;
-* `ncap`: Número de capulhos de algodão produzidos ao final do
- experimento.
+* `est`: Estágio fenológico com cinco níveis (vegetativo, botão floral,
+florecimento, maça, capulho);
+* `des`: Nível de desfolha artificial de remoção foliar (0, 25, 50, 75,
+ 100\%);
+* `ncap`: Número de capulhos de algodão produzidos ao final da ciclo
+ cultura.
## Análise Exploratória ##
```{r}
## Experimento balanceado
-xtabs(~dexp, data = capmosca)
+xtabs(~est + des, data = capdesfo)
-(xy <- xyplot(ncap ~ dexp,
- data = capmosca,
- xlab = "Dias de infestação",
- ylab = "Número de capulhos produzidos",
- type = c("p", "g", "smooth"),
- panel = panel.beeswarm,
- r = 0.05))
+(xy <- xyplot(ncap ~ des | est,
+ data = capdesfo,
+ xlab = "Nível de desfolha artificial",
+ ylab = "Número de capulhos produzidos",
+ type = c("p", "g", "smooth"),
+ panel = panel.beeswarm,
+ r = 0.05))
## Avaliando preliminarmente suposição de equidispersão
-(mv <- aggregate(ncap ~ dexp, data = capmosca,
+(mv <- aggregate(ncap ~ est + des, data = capdesfo,
FUN = function(x) c(mean = mean(x), var = var(x))))
+xlim <- ylim <- extendrange(c(mv$ncap), f = 0.05)
+xyplot(ncap[, "var"] ~ ncap[, "mean"],
+ data = mv,
+ xlim = xlim, ylim = ylim,
+ ylab = "Variância Amostral",
+ xlab = "Média Amostral",
+ panel = function(x, y) {
+ panel.xyplot(x, y, type = c("p", "r"), grid = TRUE)
+ panel.abline(a = 0, b = 1, lty = 2)
+ })
+
```
## Ajuste dos modelos ##
@@ -428,18 +1030,21 @@ xtabs(~dexp, data = capmosca)
## Preditores considerados
f1 <- ncap ~ 1
-f2 <- ncap ~ dexp
-f3 <- ncap ~ dexp + I(dexp^2)
+f2 <- ncap ~ des + I(des^2)
+f3 <- ncap ~ est:des + I(des^2)
+f4 <- ncap ~ est:(des + I(des^2))
## Ajustando os modelos Poisson
-m1P <- glm(f1, data = capmosca, family = poisson)
-m2P <- glm(f2, data = capmosca, family = poisson)
-m3P <- glm(f3, data = capmosca, family = poisson)
+m1P <- glm(f1, data = capdesfo, family = poisson)
+m2P <- glm(f2, data = capdesfo, family = poisson)
+m3P <- glm(f3, data = capdesfo, family = poisson)
+m4P <- glm(f4, data = capdesfo, family = poisson)
## Ajustando os modelos COM-Poisson
-m1C <- cmp(f1, data = capmosca)
-m2C <- cmp(f2, data = capmosca)
-m3C <- cmp(f3, data = capmosca)
+m1C <- cmp(f1, data = capdesfo)
+m2C <- cmp(f2, data = capdesfo)
+m3C <- cmp(f3, data = capdesfo)
+m4C <- cmp(f4, data = capdesfo)
```
@@ -448,20 +1053,20 @@ m3C <- cmp(f3, data = capmosca)
```{r}
## Verossimilhancas dos modelos ajustados
-cbind("Poisson" = sapply(list(m1P, m2P, m3P), logLik),
- "COM-Poisson" = sapply(list(m1C, m2C, m3C), logLik))
+cbind("Poisson" = sapply(list(m1P, m2P, m3P, m4P), logLik),
+ "COM-Poisson" = sapply(list(m1C, m2C, m3C, m4C), logLik))
## Teste de razão de verossimilhanças
-anova(m1P, m2P, m3P, test = "Chisq")
-anova(m1C, m2C, m3C)
+anova(m1P, m2P, m3P, m4P, test = "Chisq")
+anova(m1C, m2C, m3C, m4C)
```
```{r}
## Estimativas dos parâmetros
-summary(m3P)
-summary(m3C)
+summary(m4P)
+summary(m4C)
```
@@ -473,7 +1078,7 @@ summary(m3C)
## constante de normalização Z. Assim uma visualização pós ajuste para
## verificar se o ajuste proporcionou uma densidade válida se faz
## necessária
-convergencez(m3C)
+convergencez(m4C)
```
@@ -482,7 +1087,7 @@ convergencez(m3C)
## Dado que o modelo COM-Poisson leva as mesmas estimativas pontuais que
## o modelo Poisson a análise de diagnóstico padrão pode ser utilizada
par(mfrow = c(2, 2))
-plot(m3P)
+plot(m4P)
```
@@ -492,16 +1097,16 @@ plot(m3P)
## Testando a nulidade do parâmetro phi
## Usando o ajuste Poisson
-trv <- 2 * (logLik(m3C) - logLik(m3P))
+trv <- 2 * (logLik(m4C) - logLik(m4P))
attributes(trv) <- NULL
round(c(trv, pchisq(trv, 1, lower = FALSE)), digits = 5)
## Reajustando o COM-Poisson para phi = 0 (ou equivalente nu = 1)
-m3Cfixed <- cmp(f3, data = capmosca, fixed = list("phi" = 0))
-anova(m3C, m3Cfixed)
+m4Cfixed <- cmp(f4, data = capdesfo, fixed = list("phi" = 0))
+anova(m4C, m4Cfixed)
## Via perfil de log-verossimilhança
-perf <- profile(m3C, which = 1)
+perf <- profile(m4C, which = 1)
confint(perf)
plot(perf)
@@ -511,7 +1116,7 @@ plot(perf)
##-------------------------------------------
## Verificando a matriz ve variâncias e covariâncias
-Vcov <- vcov(m3C)
+Vcov <- vcov(m4C)
Corr <- cov2cor(Vcov)
library(corrplot)
@@ -526,27 +1131,28 @@ corrplot.mixed(Corr, lower = "number", upper = "ellipse",
```{r}
## Predição pontual/intervalar
-pred <- with(capmosca,
+pred <- with(capdesfo,
expand.grid(
- dexp = seq(min(dexp), max(dexp), l = 50)
+ est = levels(est),
+ des = seq(min(des), max(des), l = 20)
))
qn <- qnorm(0.975) * c(fit = 0, lwr = -1, upr = 1)
##-------------------------------------------
## Considerando a Poisson
-aux <- predict(m3P, newdata = pred, se.fit = TRUE)
+aux <- predict(m4P, newdata = pred, se.fit = TRUE)
aux <- with(aux, exp(fit + outer(se.fit, qn, FUN = "*")))
aux <- data.frame(modelo = "Poisson", aux)
predP <- cbind(pred, aux)
##-------------------------------------------
## Considerando a COM-Poisson
-f3; f3[[2]] <- NULL; f3
-X <- model.matrix(f3, data = pred)
+f4; f4[-2]
+X <- model.matrix(f4[-2], data = pred)
## Obtendo os parâmetros da distribuição (lambdas e phi)
-betas <- coef(m3C)[-1]
-phi <- coef(m3C)[1]
+betas <- coef(m4C)[-1]
+phi <- coef(m4C)[1]
loglambdas <- X %*% betas
## Obtendo os erros padrão das estimativas
@@ -563,7 +1169,7 @@ aux <- c(loglambdas) + outer(se, qn, FUN = "*")
aux <- apply(aux, MARGIN = 2,
FUN = function(col) {
sapply(col, FUN = function(p) {
- y <- 0:30; py <- dcmp(y, p, phi, sumto = 50)
+ y <- 0:50; py <- dcmp(y, p, phi, sumto = 100)
sum(y*py)
})
})
@@ -574,21 +1180,25 @@ predC <- cbind(pred, aux)
## Visualizando os valores preditos intervalares pelos dois modelos
da <- rbind(predP, predC)
-update(xy, type = c("p", "g")) +
- as.layer(xyplot(fit ~ dexp,
+## Gráfico dos valores preditos e IC de 95% para média
+update(xy, type = c("p", "g"), key = key, alpha = 0.7) +
+ as.layer(xyplot(fit ~ des | est,
groups = modelo,
data = da,
type = "l",
ly = da$lwr,
uy = da$upr,
cty = "bands",
- alpha = 0.3,
+ alpha = 0.5,
prepanel = prepanel.cbH,
panel.groups = panel.cbH,
panel = panel.superpose))
```
+<!--==================================================================== -->
+<!---->
+
# Ocorrência de ninfas de mosca-branca em variedades de soja #
```{r}
@@ -623,6 +1233,13 @@ str(ninfas)
Assim as variáveis consideradas são definidas como:
+* `bloco`: Fator com 4 níveis que representam os blocos utilizados para
+ controle de variação local.
+* `cult`: Fator com a identificação da cultivar de soja. Foram 4
+ cultivares (com prefixo BRS).
+* `aval`: Fator que indica o número de dias, após o início do
+ experimento em que realizou-se as avaliações. Houve avaliações em 6
+ datas.
## Análise Exploratória ##
@@ -643,8 +1260,7 @@ xtabs(~aval + cult, data = ninfas)
xlim <- ylim <- extendrange(c(mv$ntot), f = 0.05)
xyplot(ntot[, "var"] ~ ntot[, "mean"],
data = mv,
- xlim = xlim,
- ylim = ylim,
+ ## xlim = xlim, ylim = ylim,
ylab = "Variância Amostral",
xlab = "Média Amostral",
panel = function(x, y) {
@@ -764,8 +1380,8 @@ pred <- with(ninfas,
))
qn <- qnorm(0.975) * c(fit = 0, lwr = -1, upr = 1)
-f1; f1[[2]] <- NULL; f1
-X <- model.matrix(f1, data = pred)
+f1; f1[-2]
+X <- model.matrix(f1[-2], data = pred)
## Como não temos interesse na interpretação dos efeitos de blocos
## tomaremos a média desses efeitos para predição
@@ -821,12 +1437,16 @@ da <- da[order(da$cult, da$aval, da$modelo), ]
source(paste0("https://gitlab.c3sl.ufpr.br/leg/legTools/raw/",
"issue%2315/R/panel.segplot.by.R"))
-update(xy, type = c("p", "g"), alpha = 0.5) +
+key <- list(type = "o", divide = 1,
+ lines = list(pch = 1:nlevels(da$modelo) + 3, lty = 1),
+ text = list(c("Poisson", "COM-Poisson")))
+
+update(xy, type = c("p", "g"), key = key, alpha = 0.7) +
as.layer(segplot(
- aval ~ lwr + upr | cult, centers = fit,
- data = da,
- horizontal = FALSE, draw = FALSE, lwd = 2, grid = TRUE,
- panel = panel.segplot.by, groups = modelo, f = 0.1,
- pch = 1:nlevels(pred$modelo)+2, as.table = TRUE))
+ aval ~ lwr + upr | cult,
+ centers = fit, groups = modelo, data = da,
+ grid = TRUE, horizontal = FALSE, draw = FALSE,
+ lwd = 2, pch = 1:nlevels(da$modelo) + 3,
+ panel = panel.segplot.by, f = 0.1))
```