diff --git a/inst/doc/v07_excesso-zeros.R b/inst/doc/v07_excesso-zeros.R new file mode 100644 index 0000000000000000000000000000000000000000..6fd1d860fd3a9646d1cd075ef624f0d983b33b6b --- /dev/null +++ b/inst/doc/v07_excesso-zeros.R @@ -0,0 +1,285 @@ +## ----setup, include=FALSE------------------------------------------------ +source("_setup.R") + +## ------------------------------------------------------------------------ +library(MRDCr) + +## ------------------------------------------------------------------------ + +data(peixe) +peixe$campista <- as.factor(peixe$campista) +levels(peixe$campista) <- c("Não", "Sim") + +str(peixe) +## help(peixe) + + +## ------------------------------------------------------------------------ + +## Estudo observacional +ftable(with(peixe, table(npessoas, ncriancas, campista))) + +## Resumo das variáveis +summary(peixe) + +## Resumo das variáveis, considerando somente as respostas não nulas +summary(subset(peixe, npeixes > 0)) + +## Contagens (marginal aos efeitos das covariáveis) +p1 <- histogram(~npeixes, data = peixe, nint = 50, grid = TRUE) +p2 <- histogram(~npeixes, data = subset(peixe, npeixes > 0), + nint = 50) + +print(p1, split = c(1, 1, 2, 1), more = TRUE) +print(p2, split = c(2, 1, 2, 1)) + +## Proporção dos valores observados +(proptb <- cbind("Proporção" = prop.table(table(peixe$npeixes)), + "N. observ" = table(peixe$npeixes))) + +## Disposição das covariáveis +par(mfrow = c(1, 3)) +sapply(1:3, function(x) { + barplot(table(peixe[, x])) + title(main = names(peixe)[x]) + names(peixe)[x] +}) + +## Contagens com relação as covariáveis +peixe$lnpeixes <- log(peixe$npeixes + 0.5) +xyplot(lnpeixes ~ ncriancas + npessoas, + groups = campista, + auto.key = list( + columns = 2, cex.title = 1, lines = TRUE, + title = "Presença de campista"), + data = peixe, + jitter.x = TRUE, + type = c("p", "g", "spline")) + + +## ------------------------------------------------------------------------ + +##====================================================================== +## Ajuste de modelos hurdle +library(pscl) + +## Preditores +f1 <- npeixes ~ campista + npessoas + ncriancas +f2 <- npeixes ~ campista * npessoas + ncriancas + +## Poisson +m1P <- glm(f1, data = peixe, family = poisson) +m2P <- glm(f2, data = peixe, family = poisson) + +## Hurdle Poisson +m1HP <- hurdle(f1, data = peixe, dist = "poisson") +m2HP <- hurdle(f2, data = peixe, dist = "poisson") + +## Zero Inflated Poisson +m1ZP <- zeroinfl(f1, data = peixe, dist = "poisson") +m2ZP <- zeroinfl(f2, data = peixe, dist = "poisson") + +## Binomial Negativa +library(MASS) +m1BN <- glm.nb(f1, data = peixe) +m2BN <- glm.nb(f2, data = peixe) + +## Hurdle Binomial Negativa +m1HBN <- hurdle(f1, data = peixe, dist = "negbin") +m2HBN <- hurdle(f2, data = peixe, dist = "negbin") + +## Zero Inflated Binomial Negativa +m1ZBN <- zeroinfl(f1, data = peixe, dist = "negbin") +m2ZBN <- zeroinfl(f2, data = peixe, dist = "negbin") + + + +## ------------------------------------------------------------------------ + +## Via log-verossimilhança +cbind("Poisson" = sapply(list(m1P, m2P), logLik), + "HUPoisson" = sapply(list(m1HP, m2HP), logLik), + "ZIPoisson" = sapply(list(m1ZP, m2ZP), logLik), + "BinNeg" = sapply(list(m1BN, m2BN), logLik), + "HUBinNeg" = sapply(list(m1HBN, m2HBN), logLik), + "ZIBinNeg" = sapply(list(m1ZBN, m2ZBN), logLik) + ) + + +## ------------------------------------------------------------------------ + +## Testes de razão de verossimilhanças para o efeito de interação +anova(m1BN, m2BN) +lmtest::lrtest(m1HBN, m2HBN) +lmtest::lrtest(m1ZBN, m2ZBN) + + +## ------------------------------------------------------------------------ + +## Teste de Vuong para diferença entre os modelos BN e HUBN +vuong(m1BN, m1HBN) + +## Teste de Vuong para diferença entre os modelos ZIBN e HUBN +vuong(m1ZBN, m1HBN) + + +## ------------------------------------------------------------------------ + +## Estimativas dos parâmetros e testes de Wald +summary(m1BN) +summary(m1HBN) +summary(m1ZBN) + + +## ------------------------------------------------------------------------ + +## Ajuste de preditor do modelo proposto +## Retira o efeito de campista no preditor para as contagens não nula +m3HBN <- hurdle(npeixes ~ npessoas + ncriancas | + campista + npessoas + ncriancas, + data = peixe, dist = "negbin") +lmtest::lrtest(m1HBN, m3HBN) + +## Refazendo o teste de Vuong para comparação de modelos BN e HUBN +vuong(m1BN, m3HBN) + + +## ----diag, cache = TRUE-------------------------------------------------- + +## Uma pequena avaliação dos resíduos +p1 <- xyplot(residuals(m3HBN) ~ fitted(m3HBN), + type = c("p", "g", "spline")) + +p2 <- qqmath(~residuals(m3HBN, type = "pearson"), + aspect = "xy", + type = c("p", "g"), + panel = function(x, ...) { + panel.qqmathline(x, ...) + panel.qqmath(x, ...) + }) + +qqsimul <- hnp::hnp(m3HBN, plot = FALSE) +p3 <- with(qqsimul, + xyplot(residuals ~ x, pch = 20) + + as.layer( + xyplot(median + lower + upper ~ x, + type = "l", col = 1, lty = c(2, 1, 1))) + ) + +print(p1, split = c(1, 1, 3, 1), more = TRUE) +print(p2, split = c(2, 1, 3, 1), more = TRUE) +print(p3, split = c(3, 1, 3, 1), more = FALSE) + + +## ------------------------------------------------------------------------ + +## Estimativas dos parâmetros e testes de Wald +summary(m3HBN) + + +## ------------------------------------------------------------------------ + +##---------------------------------------------------------------------- + +## Região para predição +pred <- expand.grid(campista = c("Não", "Sim"), + ncriancas = 0:3, npessoas = 1:4) + +##------------------------------------------- +## Estimando as médias +aux <- predict(m3HBN, newdata = pred, type = "response") +predmu <- cbind(pred, fit = aux) + +xyplot(fit ~ npessoas | campista, + groups = ncriancas, data = predmu, + type = c("l", "g"), + auto.key = list( + columns = 2, cex.title = 1, + lines = TRUE, points = FALSE, + title = "Número de crianças"), + strip = strip.custom( + strip.names = TRUE, var.name = "campista" + )) + +##------------------------------------------- +## Estimando probabilidades +pred <- expand.grid(campista = "Sim", + ncriancas = 0:3, npessoas = 4) +py <- c(t(predict(m3HBN, type = "prob", at = 0:20, newdata = pred))) +da <- data.frame(y = 0:20, py = py, ncriancas = rep(0:3, each = 21)) + +barchart(py ~ y | factor(ncriancas), data = da, + stack = FALSE, horizontal = FALSE, + as.table = TRUE, between = list(y = 0.5), + scales = list( y = "free", x = list(labels = 0:20)), + strip = strip.custom( + strip.names = TRUE, var.name = "nº de crianças" + )) + + +## ----boot, cache = TRUE-------------------------------------------------- + +## Intervalos de confiança para predição + +##------------------------------------------- +## Via reamostragem +n <- nrow(peixe) +formula <- m3HBN$formula +start <- list(zero = coef(m3HBN, "zero"), count = coef(m3HBN, "count")) + +boots <- replicate(100, { + id <- sample(1:n, replace = TRUE) + model <- hurdle(formula, data = peixe[id, ], start = start) + yhat <- predict(model, newdata = predmu, type = "response") +}) + +pred2 <- cbind(predmu, t(apply(boots, 1, function(x) { + quantile(x, probs = c(0.025, 0.975))}))) +names(pred2)[5:6] <- c("lwr", "upr") + +## Viasualizando graficamente +xyplot(fit ~ npessoas | campista, + groups = ncriancas, data = pred2, + type = c("l", "g"), cty = "bands", + ly = pred2$lwr, uy = pred2$upr, + prepanel = prepanel.cbH, alpha = 0.5, + panel = panel.superpose, + panel.groups = panel.cbH, + auto.key = list( + columns = 2, cex.title = 1, + lines = TRUE, points = FALSE, + title = "Número de crianças"), + strip = strip.custom( + strip.names = TRUE, var.name = "campista" + )) + + +## ------------------------------------------------------------------------ + +## Modelo Hurdle (binomial e binomial negativa) +m3HBN$formula + +##------------------------------------------- +## Componente da contagem nula (f_zero) +indica <- with(peixe, ifelse(npeixes == 0, 1, 0)) +mzero <- glm(indica ~ campista + npessoas + ncriancas, + family = binomial, data = peixe) + +## Comparando os coeficientes +cbind("glm_binomial" = coef(mzero), + "zeroinfl" = coef(m3HBN, model = "zero")) + +##------------------------------------------- +## Componente da contagem nula (f_count) +library(VGAM) +countp <- subset(peixe, npeixes > 0) +mcount <- vglm(npeixes ~ npessoas + ncriancas, + family = posnegbinomial, data = countp) + +## Comparando os coeficientes (betas e theta (da BN)) +cbind("vglm_posnegbin" = coef(mcount)[-2], + "zeroinfl" = coef(m3HBN, model = "count")) +cbind("vglm_posnegbin" = exp(coef(mcount)[2]), + "zeroinfl" = m3HBN$theta) + + diff --git a/inst/doc/v07_excesso-zeros.html b/inst/doc/v07_excesso-zeros.html new file mode 100644 index 0000000000000000000000000000000000000000..8e3309acbb318c61fe0048c18d1a3eaa0760c075 --- /dev/null +++ b/inst/doc/v07_excesso-zeros.html @@ -0,0 +1,685 @@ +<!DOCTYPE html> + +<html 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i5bTa4D8qIUjqI1sL9G6Vha6U6IPUabeCUMIufG%2F%2F6USyxymXNlfnVinkNvKZGUjz0EWKIgZEC4WkUEr%2BgP%2BFpkIPUVM%2BQEJPxFxKDlpBEeiUSaTgCm4sEfRnBxu0eF%2FLgLp0IFHMEt8aZrsQzTF3wRw8TdpzHNGMZrHHa6nU8KCQppWBVpJ8b2Xjq278mtoTfrgfAMSAm3cYEcDw%2BzcSsXTaUyd2PH6DCU0DdBiauxpsyoKlAh9IUAzS32X%2F0d3x7h4gL36Q5sC4YzkbttmSwhenP5pxxrBEEcoAohUGB1jHGtB2%2BI0FEcCM2y8EY1e2NPXJS7wp7APp46lC7gSit7FEFQCIDnNX%2F196lJs%2BgXTyJrXAze%2FQ%2B9GEFC7p5W7W5FEooh5QlO01B1OcYDH4VTmRSO8fHPjRo4FkT9GrnUZw9pXnDplu0YFyOaAsLOkxdsu2gfYJ%2BDzBNihSUutbDbDy7VKS3KwwUTChYQkWCmldyS%2Fy05EvDGbLbpkDfbbHNGEhTSiaAEDmoKTERX3pEuKYJT%2FlNS4IawkdDACC5Jk4hgNa2EGV8yblsXoSHDrqHDJs4JDXLLA67oCyia7LABDzBMInY5gnZCpFuyyuaWXjKHRgy409j2wNaI1bGlosUnhaB5iqHHZf2%2BbDPpsIwoahsWRL69BhhyPHQBUNCyBR%2BUJzMOBRMxTVhNsS0%2B1n5kboqmNZcC%2Bt6HYVscRaBeox%2Fvv3%2FxwdoUoRvs6CamykRGihd8HTNaL%2BxRuoo3QVZvFT7xS9opWLiNbQRti9PXbNg0J5WDsxaNesdmkYOcwpiqsURuor%2BS8hhgWniGGll%2BtD55enFSsyATy9MonNXUJV5Q7eAouzR%2FP4HlA5YWBYYjm6NDAEk%2Bx9On0MGm65%2FEm1GKndnRp4cv%2FjFAdM7hnXsaXnGKAeK4aE%2F6BhOq1%2FAWmgCMQ4zC8G0wBzhuMSeeVhgAl0jpwicoR64K%2BBYlYbWz0gTGAGtI3puhx3F5%2F5QKXradYFuhJPYWq3ITCUUNLpugdVBegedngCO%2FDN5mJBWzGEL932jL1YntvCgzzLeR0WczKl0J4g8Gcbo6p5LOslpYBw4kE3ZDMiHPjBGyAUjkrWXqYTrl7gRUwex0zKVekIhoI0dsFRDtQxsLctjOlRs5Y2gYpQeBORQFR4C3hXh8EnZUzuloqFLFATXzpzv6k5XoHB3fZLNUiPV5DvAfroLwH8tYhkcOxWnHqePfQulM0DCPTadXa%2FTpoHYkh9BeeAwpmi9Kbo%2Fm88ob17pFzKP2lJpfWxbyD3PccS041A0MQWUqNDHOPOFt57Q6TiHQEKJQsI4v1JqcD7Q3orOdsLvExRQwS0nlUtV%2FpQbx0wSlrRSneWAQ%2FJhPaT6rMvIcid93ahrnKe34YxGA3D30BI2lEiLGh5iAUkBLBoXRshvpjGJGLzGcvonIqzVubgEJv4mbEl7JggQUWb6AYaQMmGUXEwIjylByVLbgcEbUQL5RFiRkX%2FbOhzb9XavzmFpR0cOdx3etgoaCPbiL5gR8o0wJNdPMCYcmyP0SDmmsW8o0O%2Fy5HNRxqz3IhmaxvIT%2FxpN8Pj%2Bx4i%2FGawfTOod%2BpvHN9BMNQUKG555l7yAKsma4r8JwVm6gxqBECXHA3e%2BdCsONR41WrcokynYzYqB0xlCdg9Nu%2FVL4rgwOiTVy8K70TghEjAOHeFBYvGwmkrDIzlwQsyBsr3K%2FEBFKO8UQ6J1hU%2FYGFA8fGgTnBoNnAmZc%2B9S%2BXnpbpJ4QKgdip6TZnI6woSQaYgxGpdaxxSuQkxu0avCBOSwchx0SS0x5HgR6iz9AkbeoDFTnGInFfbnMUP%2B8p3uSQu2CVkHxeVeEMICXKlVDsj89UY7AfyMvxTyws7ilT3y4zYSLVToLb1IwDJHJ804mZKVSKgSOa0mHCQrjWQLaz9LrCiISicIHspx5moJ%2F3Ng4rjU8aMqTDl5gjJAFgAMupkEoWEalYEtHh8CvvMqUP0Ra4v6BRr%2BdgNXFRLo%2BjKWRhaP4x63qqfsnw%2B%2FlDAo2doOxQP7GwahE%2BiZ2OX2l5DodFT8bGiL0YglcRmgDoYIEaRBLqdbj7HFD8xfZz45H2Tg6upN9XjuGCxtdxuVuRjssowtewrBo9gBM3T7d77hNjF9rd8QTMjwGLx3oWax6aa17t0I2gcG6kcQgw%2FphwfsB4gsCGgMGZU8P%2BORAg4iQDmTP9XqByg%2BjtRqWtpaHjiHSL8CNah084UP6Rfjx8GU2eaRw4mH%2BA9Ad42DummqhAj0%2FeMNS3V8lEHUSc1ntW779KspgJUBtJQEpS59ODiBRghAyioIrf%2FKoPh0eAJWqxh%2BSurG%2F5xVdzZBLgKEiYy4izBuKhCRIhfoADEt%2FB%2BirTWSOZVkcfzWBbA%2FAO817phMFhWQnvTwzjirEna6JgrjgHyk%2B8nWk0k06KkkSOOryl2OrOta3U1Vai9SLWxcE3cY161P64wA5VUgBExRGc8qtWCkEHIJfWtybVbTm%2BhrXnbVSsP4ucJTC9onJ8N4r9lRaV%2Fc4a2SZKmPNCgEUW7LDBXhvFxUvZYtnIuGD61WQtIrDXUc13hksUbImFeHrIBgvnG4ogmKBk5CClzY5DWqCCMzdrHBGSSOTyO%2BE8inLMGSApQqKJB3XKm%2F%2FMFoO17KuwfwqcaqjAyaJ5JOWW1Myr%2Fs7ZQiw%2FPqVAMH%2BlK6DYqjGUMcAXnVxy6z6CDl6j5mDa5EG4j8C6pr0hKyRNnoiR1vl9DWOfC2%2BM4v44bO3onXro%2BNlz00ZlGV2ICJ5CcCazVCJHIETBqVFhGT7KSBdNDv5ILpSacSTL0S6fX%2FP1CEIT5NZgcwpI0rkV7LqiHRoLUAPjXEqCZ5mLntX5JkkUEelCsU2tXCMZ6cZivQI6hYQNbXl4nc1sSNtBUTkQ8Y442KxRe7Uy5yOzB%2BUlA3MhvFmXweJJj%2F%2BG%2BqwJFWFLNYp0JhzD%2B4sl4JYn6a%2FvShCCo8hchMfrswjZgUqiToKfoOGaHdIAnKE%2BiEedBkyLwMSoNVX83TJERFy8PLMpBjsXtBITuS9lpPCTVl%2Fvs2Aqzlzwnj7lpl6VX%2FQ74tWqUSzaKziwue1phr9BpcZjNc%2FGXuJUq15TMDnCsJS0X2wAtW5JQA5MaTyUH4cDRif3MDxZx3Se89P4WSIvEEeLjToJbXf%2FrRhBMtRevJxuf%2Fs8EK4woZOFli3yTq3xqjBjrlierqgmUpFA15HFkeUOuLDjuhzLDjAGKK6WThTynzd%2FtCQWU3Nzd8%2Fa0q%2FxwZYn%2FUPEHU6lsdG%2Fn8gN%2BYACURCU%2BW%2FldrXpdUK7WxhgWmNd%2BLDoQFCU0sFyHn3KqFz%2BIg9e2C5oe9EOi7KdTBxPE1k4k5tkX%2FoZzSih8DJDFd%2BrITKNSsAAGtscSW9VDasqkEamMzeUOhRqRRAj9lc%2B7An2YOdL46GdcOLAsgYaFsR9hs0ToUzZ9rFRLG1%2F7eYLz1l5ijumbe1druwaHNFzZjtwt%2Bn7paZaMZu2EIx%2BlxX%2F2SBrWJQQM0wmE19eWrGPIVMeAzVWWRp76m1skeqzaBBZ6So4eD8Gpv31bn%2BnO4WG%2FOg%2FB7xQu9kpA3eZL3w9cwzrZfMmbUSk5OiF3Qx7bQYhL0VoUQQP3Hmps1bBJDQU0qAJpWwnb4iFOMBthzwP81ilVnh1bIuk0C9Xe%2B1kSK%2FK%2FMYOh7vIa7ghqGEKzCiHrehs3cA1pzgec5NpLDtCqMPp1GVECA4QZKiZX0hQ%2FGqjOhhObmpH0vwx0WHctTrmGC84Ub6BOQVdXIqoxqMVNhQjd%2B0CYMRk1zp6%2FPnIOsW7k%2BhQEruSB7%2BDEGv1lziYEEwur9gsigQBG8EJ3zeigdA74WvD0h2IbdNzPw3okAFsdmi3qKH41lxijDPDtvZcEzXwUnRNn4WpCP3vPNHhO8czUiYjRn6GRIQ4SymW9MhjUu%2FjbWOhOqNeh9OSRNh1EaFZcalxYnJMLCpTlEDttzYxhNCcZ86PUpbEkFmkU5HRiAF9AahZ8jQ769NUzJGkq9YLj9HWZLEK%2BIryXyPLZHAAHsBSe5moWq2RRQT655EACRYKQ1AR2mNQU6hNdrqLyfpSeJ5PrccWf3dXVxmIidWyyIkCm1v1oFYgyGcXwrCRPXPMLYHRFvGVuYyAUhzgYntJmDhE4VCNKoSxWlSFiFuMGumZHJnCJyAdT%2BHcgUhIEJZgWOjmy%2FZWisKRYo4JjuPntQGSxlJg3XJ5DBsFM3kGGQjqECyjqYFW6ccOkCDy3EhUt6taBIaHclyblt3Xxs353KjciddJC7gI4cZaPj4zBxOVNfei9MW9cLUHspngSFFni3AL7sLsbqo3totPWMf0yD2bdWKWuK2a4eF5jKcYCZyvORgcHeETtqeqhAYtIyiFGAYJQMOX4VJzPjyDKiavWJRtjWCnaTUdPR6FRkTfFAARc%2B3Ln3oFDETvxxiaDT3roIpaWwEEjRlhjvs9ZKiU2o1HJOMuVRFAA5fWzMgAqSKDaSLNQcQZbaFzsgKxXWIvjaOqsoiS0kA1bx2TN4NrJBVMJcmRWNIqrjepyobiDa9yXYKmJvgQWZhEBvF8wEx0pMQqCzcf9JemmcVMROHpvzARvqDrI5WOXmah0Zkh%2B6PIozOYm78ieRAJObTPxSCLuwQiRlWaLSxJ5hgIIrjsEUKPWMqRFuMgh1FsNDFw5jPGKPTWzyiSEIS6IPweoS55G9SZZ6wcpW%2BHYMSkoSETssJ3QQM9bQRo1JdCQdS1np6F5WR9wujL48y6xB4M6Y7FMnX7f22J6F5gyYVK0QlgEQxVXFUuC964aXqqhT5cX8XaZv5hVzeTU7bSoy40QuTOUjLVShZVi5iWJMAbFhku4I5QyO1x0Pm%2BcTesk5XsjnzwoAIsmXCFbWyIZQuawuVuXuR8DK92lWJDrNrbFtNbCj5sTTCx7e2Wb0UydtbZ%2F0CSIT7OnVIY0fRntwN3jNOdh7nGpmmq9CbBm1uLafMptryjPHHp7tKZEuAL7OjXHySRjUkXydXE%2BSrNxA2Um5Al8Dh3EZC5V4SFynxsMTKCAIMqEqNKzuJCQM3tvVBjRfT7xHSuCO72a6pSo2wn8%2FaXBmKI9sW2BccnPF8aML8%2Bohhb7ciWy%2Fxch7McUey2CPGCyVKaKDX8%2BSBNgqZqMLbCgZ4NPkIF6NfeH7gtElIrOqbudNqU8yyyewVZneKXuzObCUxU5b2tecTa7Jn7SE6UlSYMTkMfCs3Q7fVCaqK5k6pf%2F2wW%2F%2FosIJEgW3skUNgQHyb%2BsAi4ECMNcyjicIITuXGyXkkRIXyN50Jg3r1FpMmaQSUl9pGxnNMp8jf24vS5eX%2FyJYlMUISy9e6JooaPn7fiuG4QEscaDgCZpra85ygZUcJInLV6C314YPJdG2UL6qljb1QV1ZhrNcFecs0j2qb5gvkKHOFxHphwdBgEJc3y8qihwdZCQpJ62h1voTUccffiDJEzkU8jbXRvLFdPbcmVBUhArEuTKQFe570IglefLJ30dWmVAtx23vIGmF7N6auVNpZUQVHNmAlGgjNet51laJgLQSpfZyxBEqLwoCEGlF6ISp0NUmhUHT5a12%2FZElPE5UGO9AVnKpae3D5llVvXAHK0FIH3uE8AXFPF%2FSwx3OdCN6aViMIxEVcqv1UsLJo03R0grVOHRogBCiYVrK%2FqFBPmGrDyXLgr6DxBMSKnf1uSBgiRjCiwL1QoM981XHZnusKIVJ405xXwx6aBUuM2YXS0jaCPwaC2Zdp07J8gxM1KnpWMqNkRCfPaYTelLbBmd97YeNAOFaFOlV29YQn0qIInmIeMFxikX4U1pEusNYtOX6tKZKkgVONLhIF9ZPpxNWGA5fslgv82Lx49LF6FltT3Qp7q4Rcu4hKczn2m1GTA4unFBAkDCqY%2BD5s2dyVIfDeGeBgwDnPbGYXQqwM0E%2FBCl69QtVYbUwkQZAtSB618VkAzCPAs93Ip9qWnBMX%2BRUX0PFxCACZQwpfvNvAMGrD69RE6JSyNNOvRD8v3gzw46n8oB8mFQiYiwgidAyJgrfY1SaNrL5QDEjIIgYLECALRSK49wPmSO8jZLnesJ8oFZjWJyTrfBrNRCeOMoaVxOojhX6WVAhhJ6dvBPZ4AbMXC37YPHBFKUgA7t8mCk8U07mFgWg3wbOZDgsEZBOC%2FApoLJL8CzpXhZuoEh0ntzsvrUPhE40%2BUUkCAm26DxGMecbxuJ%2BpPJct9BZL6lVcWLmHps6SSRwqmRJeypwrd3vNnIawZkqBn%2BumMrwB%2Fc%2F%2BIAx3X3Ehjr%2FzJIVUK8Luxlv5IeNoBQPnIhvJDZfGo8KIpLh8O4iRusiuQOtytJ61yCvQUGFmCxEEliRlQmkN5wrVLkx3CUrlDG3ABe14lLsoysj9hXY%2FTJpUb3tCvpw8Ez7Wb20lfIScq%2F6wGFIrBkgzjtNLBoYqAgJoKvDHcdkTRNbmMKP7Fha6v0z1qPmfqQzKW%2Bi9g0kSWn1vQuqaJyaTAX7hrJwJgfaPjJvb6wXroHZRAD5NH2E2KaWtBw9TGd9mIea9%2BPrxlBpyjnQhg6rLogT7414uB8V19PPcBZUhnNx%2Fhr1%2BtX%2F1jKG4nnHv2EtR3VOjo9oWEibOHX8508Tra1pFg4lnAwoQ2u2JcsDi7diOc%2Fuhvd8qexCvYgoI6m9VYAg7Vl0PRXiuCdgHdKDIIHG0j73u07ULaOJJ60Y178Lsgtd7zYdOUGlMCYhR2Uhyglt3KUjPCpM8MKjVS6OgTHgqD1SSQ%2BqhzInvSk8VzFP1cI8vLxtdDvH35uPzMi4mQtJCrVUqhBWbQRke9Sjt9laOS7Y9YqUkXldpaAoofKmUNsx0D7eYLc%2BspsKbO71qdmmaGglAJjo4kj6XlnIWS1hQZORC%2Fh4i%2FCdcbaFFuxb0AYMJ7EdQExeIHEdPRtCxVECvtxHzbEyldDvie9cGKwImUuI0xEL9W%2B7FhefRJ05ePV427NJDYmhOCwBDNBP5LrIiblD6aw7pSeWFA%2FlDoWYMm%2BZEcF16VDdA3ALq7hDBlLUzNTL9AoVyczpCwb7xHucfK6T64W0AnDzYLg0HYWadOMPdoP%2FlliqiAlAWP4rio6stY02elA%2FLOPBnEr6rsAqtMRsS2g6HJtNANGwpxTdZEP5Xt5mE2gPs7dE0gyQv%2BFdd8QTBEqmAeMHtNnjBtKvg7KmIZCj9303GT9mWQXZxolBupTHIhJT%2B0WN7uu1FbRp6NnSRDIj1aXRJD25s%2FAD5%2FIc2OQ0iDp7%2F3Dbv3Oa8McFBhXrPpAKzhrFANFpcnLmEVTXjq0MO5sJAPVxFbMh93VfD%2FDppG4mBzXSgVfXJeWNNxoKF8QTwcQFXwQPB7QLE2PENdF%2F4vDL9zn0ZgQ1i6Nyr35KAwetsESlUtEENQbCFOeUFb9lg4Q%2FW5lUNo2fsscGbWY4T6pynpP0Krl%2BJFEfY%2BGGHI3aj8aBO0K%2FndAEPa5FX51Niq7CEOhoB2hSpGAgBT5%2BuzxAMzSuVEeQmZIbYew4tM4UsHYdZtT%2F9ibeR1u6rlX6lBQlSBT6LQ9YUEAgmAxLkAKQL9PSm%2F3NQF4w7ZvdqRqMJ5DYZh3j3I1rDmyXyti0llyZjkLnoPtHHwZd%2BfwWVz9ztMTMCFjpKBVWAdcYhRV6wY0kRv47nqddzEhQvXsqNstE6GNiLTd8iliAfI5vfm2KjfTQwbxz2uFzaUL0A9VKWzB7VrWS0QvlqVw9VCXOB6RDSgbNtW05PB7pEz%2FHZkv%2BXQTUD8mSQ3mJk%2FEUe3%2F2ixiuDVAOBfyIscXixo%2Frh7BHtl5KSBigokAOClzsk5pj5X5S9GLKgu5AbQNotZBWU5zoIzScHQKjeFNr0MiX0Mp%2BlHmHKuaDcfU2H%2F%2FhJmeXl1nPE8E%2Fk8ULZ%2FCLYtwJWG4CHI8h5ySfOAFbkRVFJyi0KYkQ%2FfhDAjciw08ETminGEMzG%2FwOERVW0AEslZEl4sfr5AYRKGVSMzkDSQ%2FnhkipQ8y8EF9ZRGKCOxRzfpNMubhc%2Bs9lZBHqNegMaRLozjP%2Bg8CUsaVzp5Wd0ZI5SaeSdNAD1HIc0vTPw7SLi4Jpa1gGgtEY865KzsFCn6I1RvKT3r6BVdYGsBPWdVzeLfbxKi8BVQVzd9f83goEpezGYiAXT8S%2FpW37TxnZ6f%2Bog248Vvj9otMMAmzAfvCpPYmXIx6ZAKAwBH737j2KJpWyuPMnFIBfqRrEBYiTiWVjvdx5T7k0dwFjgjLrLVm28m%2FXLNfjkSOzkoh3hangxcOjvxzVDIGSxYBxI9ak%2BDsrVTPAlMWZD7OThbuxdkWjCtGwtH4QzQdpmaBsHV8Yrg1iAK64TC2WMbQJAFFciwJFPSRQ86OtUrnPSODgRE%2FhD4qWAHDlWBDy1KPUCEbpodyyU4TnaIFzU%2BtJJAes10UhzVTNE6fGDGUN33wCgAZYoIz44wHk6fDO7wGbAEwmcVQg1HGGByFjYGdwJD1joA5AM8olCJ1LlTUGB%2FkhlrmbJbCbD4Uj0GZTy06zCTjOeVkJKZzqk0nE4%2B3RmlgDHpJwCwwZKOl8SEEH%2B8TQK7R6TiIPAy%2F5M08zWqjpXg4KWF%2FMNQpvipZJ4KZfGsivxCXyinAY16NjMD%2Bkgtfc8pGpAgSyN27l%2BuW3OjjOCnldBAJLpzjAYdBoh3b0yuYkLj7c6iwxR9NHW9WBeGVYjvaTEHVq2t96HA16vtKz3ZgtNuJgpjnNZRGEjbmQuiQEBJ2BdgHxFDqf0F1dQJcS4sIvDHlCASh65anDjgr07Qa98i8Jb1rAbSdOOz0cM9wlKXm7ugzOMTmi8EbeTBIoHrudZ9RSwEtADDsgyFwnxyfzXecDzLGFMmkRrGWCdnWVnSMMcc4cl7NaF%2Bt%2BgTHgy9s1SV05LLaw7YYgNxNKt2kpiEgpahsRp%2F0tarSWdfS3AdWYIAnrT68WTwX1vtPgL7EMcIzmOpOxL7oZh%2BcoizveUkJVmjedZZlkwkno1E7%2BjVJIoz8APlgweTgHUL%2FGciPnYgtfrq4TtxE4adiNQ2ZgyJHWYWmrMlW6ebFkPaAUwzKsAhoGXxXGRGKFObHKQOqFOnGgkyLajFNwhUa4fqva2yI2DlREZ6p0CNOGwR4XCrS4K3SH8pDQGvZIaDcMPtJUoLRM0owJ0iT9QcdRK5IRIIpAOzsUotf3TbAVvbQH8n5voA6kUzw6LqVnwPkmnYxgJLYiQ7hQYlEsYL4k5GCZvd58ypvZfwO5t1fXMTj11hE8GuAZhX78JMPsK%2FJ0yQqDPk4Z%2BJbbXS1tia0EBwCjgWUJsUI18clQ%2FL%2FH39pOY3jRcZFFfW7bC5v98f%2FwQjY4osg1CYvJfYmKVWbiPLEpDvlTEGLjUbCmh74cUqKtsVVr9hspTEdTKrKSRjqUHkhwgyUQeNizUsUp3cLmGnOoxPIuzYDGHFJxwclXasrQR5Pp4%2FX9adXL0zyaNRcp5govE%2FKIiLMyYKgb3rKpuxbm7t8U7GiR8qcIvzarYOuIr0z8D1QgHRWmwQj1jMXJlqpuDBiVUQD80Fnr7quJElyEAs47dXRoms8yEtA2VxNaYbJmUQ%2BlsKhyYLlk2q0QMXQSsMctgTGOka0GYae3AxbsfNKwpf8YnyAYZzDx20P8xvD5aQ4OkVtbj%2FxeO9gPGmBGT3BiXsWroQWXXm7Mw8XnUAttSlNyNEsqWLOLy5MJLmMa9m7Abm0SuOJF9RWA8VDp5xMP%2FI6LaAKUmkqt6%2Fxs1XyWrgcDo5hjmvshCSHhWpwCludJPk5i4bpUhqFw%2BRmK4VAI0O11JGtbQ64l%2By0LUdW7GarSUUwP47kW2CYDEdvsA%2FTXw0I4OPf2SvJ0FKjn7aZxxwVp2xjhpWMTDxaZMkiOxaFFLydXq16fefH2qVJybgXVpioGcKFhS4AjNTEa5T37zLo22Qv1apFD5qUjB9w8yA0vSc2RMiA7xIsRIGBTWOjHH9SZlK6QJGru7w%2Bq2GoC22fzSVxkr%2BWlT9rAABqi3RiLzDxns68PSEUIxqrqFw8oMUhIeL%2BSdTHAvw8M5C0b29DIIfScMQS0TKwvPEq3kAQvxMTC0D%2B7tnB7QNRliGiWl0NuVnIUY7QMwRkP%2FgVT2WDBX08%2BWLDc%2BiW0mz2CZ3IAvWqesMkIe3lWqMvUDL5Q33McSklm9U0P9SHgPGGVlX40diyUBp%2BpfWi%2Fh9sKTOvCRCj%2BeFIWvUXobOyAxrHlhKFGhOiw1vyKUiNMgN3k9No1jfVEpQEU35laY1OWX0u%2BF%2F3AcQq9opTw0RwEyxVosGLDgIkSdn7hs%2BIHrv2jR%2BJUh2kADlTtyX8HxtYxLUhMLj3%2FFpJAhfxzoRspqTIQicEOQtI1iv4n0xi9GiED3BLS%2BriXyEyU1v6KfcGAWCaq%2FgQ5kImR6wna1UoP6KtpT9XLI4EebxCRQriHsHkCOgDlZM8hJEHcCfGIERpbdeZFFHtE3lBjH2cIQ5p7TNVfRTwBkflxGhmddY2YfZbMF0bFv76YdpbH3dxSKmVVsblZW2xdvOxqSIQqbw536IFhJKhELagVlMG3LQqHU43e%2BRZjx4BJExsLcLX1oShyJFvhFevBTFOUF3Exw2yNBWwMCW5QA%2B7UmPhwM7AMOXRddPg6OxuaNAmiDYRKlcHo4FwUeta%2FLSOUyYddHQi3OFkb4z35KYG%2BxJAOZ8LTMyJ%2FCgARNXgZ%2FC%2BfKy8W7VwKPzhRpDnIMS0ClN6sPMpa421GfuLwApsG0C4FpdCsaLM0NtsctgKVSkeql94%2BXUmITqdGBajY4m4NmDFEk2HiFjYtNLmZSxNY1QM4KakEvIQIFts%2BOJ0QCRKvhCmQcfRAjN4VmYgb58CBUMiSUpcyuEfRFZS0SThDQPO4aFcJiNJUvlFdO0s8RaeSdpOSHscV%2BJAIchHCniOYTsEqhdLZtWVSiAw6hEDO7LI4or%2BkXTE6zB0CA9o4NUeZIpS0Fn7Q8lU4X9sZNCO0uPfjoWqOaqDVcbxBJSAs8RV9IcKmOPY%2FLDUnXDLSYfFT1xyNTWRLKRW0kFxctTIuvuU6R%2F%2F9ApGo0EHrqGH7dEmsI%2BgA0UXpfNwWFxUHz9CYK9toXP6IlTFRhuGh7z3bhwL5qzzoRAF8dkwboKslbtuftJDrshFMoBNaIvpSXyAFRCCKFOKEkzCkB3NDQB2qtV%2FANwHNea%2BAUDr6WWScJazRx4glReLp8vQ8sFtz%2BhqehlJO6MM5NMIc8%2FkWnwbE768NqCDKBi%2BpY288WynJ1CT2Kq9%2Bo6rhlUpRatsVIsacJhA%2Bq8M9X%2FUQMRZhshDAvsXwlZfxDn%2BWCfyJyLFA2s54on9a54PSC3WgchQWZLZgEl8xGrFUqCofhkvqYtXjA9XyewEKlnAtD26XlSvqtdhXOT%2Bi5BrX6S6hHVcqbZ8qbh%2BEzffUpCfTG5HULg9DQQaQ6ENkkq3DvUSAQwcxh24qkmtdRoIMDxOVDdy0T2w3afIBABsQGxnqJaAOY1gWawTUuhslaSivzrXaPcRyGhUkH0R541UbNvLKiY070WOGYY4R%2Fg1rfKhHcjoV4p45o21tldJXmpG0XsOekNlYucZlkAWkVUHtjkSeUbdfBMKrGATodKL9arS5JFVovaKRlOWbNJIS6GHxuLt8CX%2BBYQUYDfxlQrQQhL7z6vChINNDAVVN0rXxaKjegwIPOJf7rXfHBBHGpBNpaeLGFXCBrWAdpIwF6mcE7pE2z4HdIxcWkU0QA3TKjZQ%2FPNc4VwWA3OqmXuoleHBmMRLsU3ENaVgIpVnIWvBLVDYNLzVRdIefms6mo9VoRQZ6cCkQSOdK6KDkWEMZkQyIEM6QUltTfQ1xFpxUL%2FlFho06RSy0MhFQCIEh5FrTToDEgpZU4QcT%2FbYWc9XTPTTM6ZiDUk6d8MHSyFOgi3cE0Oh5I2Tv%2FThHNjxg7A0zwweFEVnLpE0Ai8Q9OWYcdB1zNKwLEBtxjc45oHjshf4AMMWhwwRhRdBnjEU3iL3TIBscW%2BvDMwGJnW4omSkqIJxsnzyWwZBg9lQCsSZ2CK25fZnAEtrlT3WZ1xUoqsQBEiEMEmCZAjQU8EhBFQSUEVhPwf6Ekh%2FQtYOKDqg%2BIfAJ8CuQ0oaANSG8CrQwYJAhV0I0D4CXAOIBYAcYMUAO4A0AuQNYAwAWgJAFzA9A0AgoIOA4ARIJoBoDTBVATUAVA%2FfmHjl6j%2B5Pa79V8K%2Fh%2FQfNvjz3P7ler%2FHHh7%2FPw68DnObsHvPy3cPPA5wScuOB7qBzX7b8SuTXQrw88fvOjUnszbV9wOhztB3%2FrTR53FdNbVFq3a82jxmuwOcluBDDjLjOjALxD3%2FQiP39Y7a5Rt0oNm7G8V06nAGXPxV3oiByNCcCfXAkpuOrai62YwdiJaYXnQsst7b8q9lbH1AhQ4fOtIhMRO4kqFfJyARyYkd8VFgh1WJGVCPlA1ZMLjSDAUNwDDwkxBcqWcEmILYipcSYqtCIqlSAqaSAqUCAqkjRU7GCpiLFSkWKlAgVIxAqRiBUbDiowGFRIMKhYMKgwKK%2FYQV6wYrughXTBCtmAFaz8VpvxWa%2FFYZ4KujsVY%2FYqr%2BxVOdCp85FSnwKkjcVGeoqJdRUiaio4xFRNgKhy0VBtoqArRXysFeyurkV1bquqMqqonq%2Bh2r6EqfoBp%2B%2BNH3jn%2B5M325m%2BzqX6%2F4%2FrnjqtKKqtoqqPhqmWGqVIapJgqjWCqxYKqxeqp52qenapVdqkp2qOnaopdqh52qD3Krsbqs1uquGqqZaqmdqqVmapLZqjdgLkVYtPvgiXswWobLWxLWyK0qjACE6uL48VDS74vVFa9UPr1QitVAa1XzWq9S1XKUq4ilUQUqiClULTqhKdUDSqgSNX2hV9IVfB9XkdViTasMbVeTarwZVcjKrSZVYS6q6XVVS6qiXVCBdUEF1fgqrzlVcsqrdlVbQqrWk%2FZ8n7Vkfagj7JEfYwf7Cj%2FXof68j%2FW8f62DVWIarWDVaUarJi1YsWrEC1XsWq9C1XQWq1iVWMSqMBKoqEqhgSqBxKvuJV7g6ucHVwg6tqHVrg6vuFV6QquaFVwQatsDVrwatGDVnAascDVhwaoyAqiv9UO%2FqhL9UBfq%2Bn6vB%2F7kf%2B2%2Fx%2BtVskpnZEuCUxHC%2B%2FYuIK6NNKiB%2FEzIk5DuCcPq3Ew4GQBYmlqw4gUEVMiRKFQwiMCQcTgAAAAEDAWAAF5ItM%2B6bFophhd3N1nA4zIKh4NARWfqCooqII1UQ4kBYJ2AQsGyO2lAp%2B6Xiqm%2FCkfz5urtugisAuGzxeNHQh1A73Vh4dG0%2FNDkMQKtSO%2FBTm3DojsrbF3jq6kKdaxNxwpKvTKteAnM7mCQ85oHLN5AxXtO3FxElkoEAFo%2FY7SdVN5daSO3q5Y%2BGBpQAYrusw%2BEY9%2FXMmtYT6y1gbXXfGgzHr8ic6AN9hcvHwEYELAoOjr69A1yaVwaL10euR3YUZUZvQl5xZXoT8YeJLqVKFrjMLT83%2BN7REmekLvRn0TLh%2BZMzVhvjjOcuh7%2FDGoSIzhcgAEyu2q%2BgmErl0SoAyvHf0gOOHkuRFZQSSkFEDSG4HCQ838BiFt5mdNnEIYrPlCai6RoN3%2FEdkyVeA7o%2BHQvKrwD5CYAAo2RJZIeP1xRy%2BlJaWuskPYYJ6GKPdNLzxcio1M6LXHJDQbx0X1i8B9YnLsQYerRiZjBe%2B2alDqaPIASEoxCeRAUMVuivCDeCNo43Zi%2BmFz4viBZJrJMbwxhXGCv8CUG%2BGpgMJzaVH06hQdq5woKyZyKYDByVHQl05OpUqPrSuURMAxrqnfhkQENbMcnlzk3MLnnmnljBLSdHj488rWP0ithH7Mq2sETRkNmgYc3AZSu6gL%2BCk4IDhPtHR057XmxZs5enMzU7IR5rdjAD5bhqPdP0mGax4%2FBC5rzvd%2FNmFSTuivxBTftCPQY%2BTO9CX4l81r5FFfrkZ1yrTcaX%2FE35vu8hUNdTlgS2iD0q93mIVdiG%2Bzz6ZoWvKaG4axR1VGYKVxYs%2FhBQR7uUeb1mU%2F3VlT93WVa55WteFObdmuaGauUaHua6G9Lh9q5rpXj%2Fwgi3iPylvEGKzMA9lXBUjbXHUnsEBSjM4dcmrgF7f0G9lwAQt4RLmuXHbpvBr9TrIO6tAdGiB79MRHozMKD8uVjof8zfR8GjzHzhs033A2Py%2BejgTAGqXxpL%2Fw2WVk1lFTJqz%2B0kBeRuJCR5GRySPRQSmUbztwmWP9kLIWUhlXSVdCicr0AP0QVDW1JhE6NsgqFunp2ST1zYgQv6Qnhu0JlL3GiFmbc6pMG8mzBJsoRi1z3Z5NTM0f1ndDFjciaUQqsNg6uq3fi8dFUAWOQGs1VX8XhLFmvpemPhnFsJ4EJp5fMYZskQQsqfYfD9NJDx6cnQ0sTSuR2L40hG49L%2Bmrs3RoC4ghACgxYOijJAtdpXHsZI0rFXEhZYgy3algwWFOreuLxQmZTNtXroCxgYhVHmAFChJHArQSkYK5FLPlzPCQ38AzsClDlC4ke6RHiVatgqkBMcH5a6mGXLmcLkgxPCTi3IYssNhBMcXoBJkK7iAw%2Fq1cJO27YZZ1dgwK6TjpcOKZhOClzaJK94ByvnLhalwYwwHNGbpKKrMoiCUVvMU4ZDGftbGmdYDSWM4M18njvCm2QeRAFzCJCDrWq4fFsh0jgTZAy3lAyEhSb5p3l%2B7zqhPPDOxcQ5kAj9XEi83gCXQDB330FUKUN8JTMzokg%2BMHLm0D3oGAQxNjGVUC4qv3mNqY80W8Wma%2FG%2FRJg0Pokw2Jil%2BUKRbOEH5QZhYg2DwSICOBEYPtpPgwWBiCfyJ0YCZEGKrTfFYsGyw21JEW52PoQdw%2BSszylGkFpTMhd5kWLnyTIQai8z1ij55qLRN75GxKwkR9E1MhMUCbxmmw63GyiBjM6OORqQNMpJtSUqMssFsiIRB3bOWC1CBqx4cDrtymvUnfKZrNpclIQX0iC%2B0SWyKIyxEbrSIkB4ly9nnkYJu6fFFI5UkewzCvGzpCmkfDtvWO%2FvOQBSKG%2Bw4WeOGpxQqahRKjqs7pmglalwleZKZnV2WNi1CBepIZxSes8CtZlRI0GWmUOVcYlpvK0hUKRhWaEyXRViM53DzUU8eSDYlUJQqDMmUYc2RuqTtfeLBUIWJzpxmeJiOCoAXmCaSqYM441iWisAz0U0EQHSkfuH3o9uyZk0g2C%2B1Huy1lYiCySpvTSdjMKwTiKdQVCax08qRNA1Vs2wiL2IyamfCpg%2BlZwXvOo2sB1QB9xIdX6Bj6VzRgd4UoHI9PenyASnBA8k3EjsE1S2ipMclWB3LPJeWzSHOikaNhJsFX5zoP45XxaGhDK%2FpP%2FDIYztiS6vqMPACWcgP2kpZWjOfJBHYRQNI4tp3WUQGWpE8ZqoZEFvYJaFCTkUJPdTqeYpTEWodgDyHYOTQomy%2BoKxLC8BtejPZfK3UMphCswZ56qASoLK60kVHNgZzT8%2FUWcqkls5xsQ57uoPAv%2BCrnsSCROispXTpjPKe4ND10sCf%2FElOsPgR%2B1K2fX5hXhJfNGzBWCpiE4EjGUBgUzovLqcdL1yqDbTutsHLe0YqwBcpKRqcP65%2Fvot41Eg4cbCrFOObHzAyIO3Np2zmgIymMqrmdZ5wgWiOKMA%2BV8kKigbnyOAnZzQK1uMozbw7SBWI%2BtpCLJTN4yFsnUOPsR6JqbOmnG2mYUYJV0I%2FFDRgDb2YBKeBAzYRv4d82IRIjKNJ6kthxBIf4f6tg5Rewqogb%2BBL89Xa%2B8Y7mPwJBnr%2BqyHL3Me2KqwE3nnFG4NiIrI%2BvziW0DG1jcQIHeE7iAwtWHXwFYTmEfOmdkgt4Pr1n2vJwnSQymN0R0NLRTgAHjDVSIfITmkvlvfz7MU64jgUChw5hCXsYgG5gXyQ1osKsxCRhvPgsghFG5zI1CXCBIAwKkjyKLeqBc%2BfEUFiCvfGOta3gR%2FU26my2RNT0gywIO1yxoMTM8Mlfo35lpDQ4jfU18jrE6QiUumMhcIndvm8iDoRH8amzyNFXNUKcSoCnh5AQYr61lElsUE1avUS%2FnDanpv%2FZFa3VH2JIq5OrC2wDxYOhlkZf5BIr5I2JAQY6MewSa45Ob%2Fz%2BEjpgzBQTlG3AdVyHpu2GkjfOxGCSQ%2F4KBsYV%2B4WC4tHrRIEC3vi8DWBGimk2R3cQNWDhpiR%2F9KQZE618tdreVPJR485XjWwoxbnLTn6IZ4EjKrhRraDtVPs4zmDldmpWjWM5L49vWKkkh21cJ0GELX5Hje5CUKJRNkIrvqKWk7bw8b7gYD5fEhk7VgXTHJI0UsIqSimKH3B62CsLrQWXjB%2BoWwKWamDL6RlAYnwhMdNFIyfJuJIyo2hI%2BRLmmREVRHaJdaBYDQo4bDl91nK3Zy7hcqlXpT%2F%2Fg9jl5m4DVYTnaJOAoq7zjeA2QzPBWRnDjFKG0AJybS5gxwd7oVkVIAgAqWCrwA2TuCFHn%2BlQSxm2EjeZemixAGSIByWTtmzQII9iyI6QxlnEfiedIUpRSDRKzAojtJx830mEfqcSqHRLRGSUmpIkhYAfBXhL3h5wRAsiPnzp5CmVoG70nYHSlNBsQEOYNSYjVHmDMCMyyhMYHx%2BhksBoo78rYc0vB6ClzXpCsSQL0xuJj0lRG0q3NgS%2FgqHn0%2FdBeijOqfmwAAwNmamjdRSr62goEAhLCK0y0mqVtUz8B3F3pE3rUMN9wQoCtpvRAK3sFTK3tcPZnt6Z27rdUEcCb1qxd8b7ARVibBsC%2BRyonUCCcPwOsBKtzEuPpnx3V%2BQo3FTRLkQsTzT%2Ft5GIpAhUffp2BuiRh%2FhQEK3waIhUoJczWFQtyb9PP5ODdKmoRpQHa5EoivjH117VzUEyb9h3I8XFhYGY2GgobkujLXrm%2BbJ7HN7wo3WOTojHaQLy5ZQH60wuIar4h1s2FLyTWktIBtEtP6PSDSPebTewSizvHczvHVzmh8LyM8TZbIzBlYhsTDRW2MtA4tMbKoUyaOwZNB0EcTEoAHayrWzlDMhazQx8GCH8%2BXZI4EskKhE1hnN1De89ZjtBMDWCxLN%2B4bn5AnyOhxpTflbO1kA%2F0EGhUliSyMtWT0UMb%2BqEPinhEFYyHEbAUyp8tYuqYDRipLscjyGJA3zbmKdMTMI8V72v2ZQ8R1C6WY4qjndJBCREkDNEWaBovAOsU5JvqCCECn5%2Fq30Wfs27Q1NX3PB1CxWQYK4rW6gl2DEhCJLvzF%2BBEKd6LLjbQMVuJRpueMSQJN40n5WAdyXvuYQeXUQsoQDysgsemARNTywlJKFiZeuo5AiRfoTmTq6hkwijNVgqADIQ0SrFqBN9hK5RC2ZzmikwVm0CCZzso1HPlzzN0IP%2BQCIQZ%2FzA%2FJ0cIiWLfbbDGvgdRmzRiOWxhWyl0iXpQfpiIVEQuNo2d7rj0OZeiVOeay6x5oKlhwZCcg8KUij44xrtH4IX6UM37YQMPXh6QvlpkcPG94IVYA3iwMJ0L8LuuaogTlCTJsenAjL0PQ7L1Pi8hmGJdOqOJeVo7ECLPOdRHN4hjBEITrTPlmX622a1Nkllc%2BXvRIMYsWFbQasKlkKf0TuoImAklJXaN12zLmMOiREi6fUAhVGrkOVhqjWR2eenOmgUY7GLcmbnAqWpftrThQTmBEC5zJQBDcPyN4AoXnInBM2UJew3uo3Osd%2FVotG4JFRB1dhhN21R2ig74o0Jw8ZN7VnA0lWB0lDFZ5PDtyXLlhvcGuF0S6Wr3U2CqpnkDjwB2mBQdPGRuL5x1IFo03LEOsHEh4MKRvE9edrMh0Snaf0cShzOIJdiyBYWbPeMzTRGYsBHAfX1laNIl1ZVxzggRI5m51PG59wVXQ7HQGRYRRnGy89qI5okgmTpsdUtZgAxPvJ%2BWcqIbSWx6tf5yN%2BuJkKOjROUqEcP4y6WDOTFIXxQkr7hHBS7hmbyT8AljD77OJLW4CQGYAb2Pei8bNTgMttEECV0uBXZksyIJd39JlDyojumSt0T2TM5i3S2cviYGBEzQtmTKzAFB8QEcXkZq4YmJ%2FTDWdYLS0Kazft%2Ba%2BC7HwNZAJaVEY3kfqPHY2SBxchsqiGqJLn5a%2FmjEa8QgmABHka5AWJ%2BG18I9w3WjonkFGEwKhtgp0j8YPUeYEncSOLNhhwVJnEiplRLfp6lN7z5sAMYVx%2BA71pVUbhIzIaaNzUbAarADBLMSSoXqKXumbEiOijClhzIbSA5gGB2qtutd0MjQyWBaAzJmfqki7MMaEQAOCXbwaXixbEGNFnHCqmWg8qjxIZ0oeAxEPKD1A7yRyuS4AIRwOrQJ6DxVHVPpAc7aCkBHpHC9GMxBqe9Qt62zjQGJy9sjB5efNIj3%2Fyv2r6z%2BSM%2FzuFE0Za9wOJ37u2rcQy7P6SvWZqCuEJKtvjAUTarXAcyMQRrVOlrD0HTsN2KDiUivtwmgj5U9inAK5%2BC4IqL6iNHhU7OH98NmQILOWxNwJiPwwlnf1QAEMLagJuGLoYUdlqBRDn8QcRAg9AuLhe4myJn%2FEoxUfepXHhZ8Dk0BKaH6znSNmNJJ2IRdEvxoTfFkKRNn0cEvSio6ek7OG7AZljFvqNgRejEgmOwp7toPkAA5CIjKCsWmYPIlxUdVDDj%2F6UQEQZwMPCocey9jKiCj3ryLWjtGlYDdewTAsT%2FytgOZKoG6jDf%2FUzE%2BDBwpk%2FPx891KJ7wcBDtmnc4Zr8PjCwfnWIE7Tz5Wh4XZOloMKHqBYibF9JCb589kpcmC6MqgAH60Nwcj%2BnBhrvYWI7IfIiYD0IThyXLu%2BBjtuDKdFNmVqTy8ELHUIcco0LUngtn%2BupQtGnWSsHRGOZxzUOEULCoCKWugvY7ZqEN0MDmNHqeKtmwQSOPoR%2FZ0KGKGB2wdDYj1CrZsodEQx2TukU2%2FMDvJyPuRgDSC80jH6IO5DbRYrS0rIXfANDM017avY1V29khrSTX8G%2FWm5HQ3j02j1MGoCeHm%2B25tIebrUOsJUhfKhD0EIEeXj3%2B%2BQ43UQYWPGKRd5tI6RgOxzkuNv3Ji8YcsIU0cpJNn1rQt1eBb5t%2Fe6vSIMsxyrbVRxAHaSs8%2Fijk5AW1W3ajQf6DP51FkKbjEEaQp7ThQOL8pUajXNZgjP%2BAGWp2PntYtYtaMRzL3lOTlAMAU2jKG8l3wMD%2BbxPb8RDFLiiPnwnwm42DzJDXbmbGIZ0jLkON0Ub4bgHg3f5pBR%2FoVAu0YDFztE%2Bzps%2BP3bAAWSgSxlY2S3LazAF0KZAmzACvKJ%2FMz0beXxl%2BeIEFgZCLRMTD0eI7mFnojAK95ZgCTCfQOybhXCo6576fGouBIpcPFCU9ALkeU0pQaG70p3LmSrRNvUUN3vI9R8lCXjgQBKD9twFivCVAT47aBVWQPv7zSwNj8Un%2FSFG3FqLOS5c%2BWZHKZKVGCPSmIgHEwoN5C6HgtxiaB5%2BUvBrgQmTbO5rMJ%2BCuldZzfzxgdXp9XgD508hFWCeR8zw0tDDW2xoicZACrgqgnQ48NRFvjGjGQLa0bZ%2FYIPRHYC9plKdMERvlMGhAQeqDBMhf6LZGmyElMCwEIYOo1BZ6PH7%2BWHUp1YWZa7wqK1XoOCvECZSwoJH1Mkaogtg1cnvzmDI1q5S6K8zNTnhUkglWVoNqdHdJkfg0Fxp37eM%2FnNEjkRlbYvQhIWSCHT%2FqEBqUlbxYgGY%2BMSFSRxt4bg1PVnRhKNZIXooJOn0HVNY%2FcfiwOh4kjntxHmybS7MJkM71QCMhZGbYSMrJ68qAj1YN82a3v5utE6PJoWbuOva8RkRMPNZOJG3h4NcQ9LTUNP7WRG34U%2B6pZFDjhFpbJyEq7ddJp5LrxHhOcWeKH5m0I1Q2anhxKm%2BO1yIfm7BGh7B%2FjqYiPKEBJ6cFrT2ZB6TmSyLIpnTVkU%2FYqVla2WfZcp7SSoTzv6vLYtG8AgtXlxfWZxN6Gzmta1EwxIU6yE9s0x%2FZlSkSYE8X5a7%2FVPKA%2Flig684F00nmacRk4WooPYSFBnHTa1ebr6zgD%2BMcOV4BeWlJJLrL0qnYZSAVtBA5UxpOASkxyTpYRBUMiUqxjxU%2Bce5iSPwywJQRsno2JDcLSzoQnpUALmNJE%2BWSFPdsteXHMocr%2FC0IqI26humQ1wKQoHcGmUNYBVwIFZqI1azUTzdFmIOugxHeiO7FGrlsIVmnE3L1JrCuYeQCJCpQc%2F0JCGgQIe79NvrOoYeDQJ2REZcyhK7ihxb2NeHkVj0aI0LIicFJjQk21YaBO4G64TBu2IKBTzYheH2CASyWnlbZNFDbFlJqA1Q4kIljGpwnmhmXbOSQEgWsMmsHkBZYKRUWBv9HZZ1N1JSN64WPlCBOt7zqAJMKpczyNBpzQk5o%2F%2FxDjQg86ozQyN4waltVoDaLJOfWjYqewlULt9QO8N4AqlP%2Fo1ZIqJMaZ%2FORyILlDFoGoeY2%2FswI7MBMVXSMJXCUeRsJjHIU6kNEsAqZoBDoHo8Y8pZtM%2BGL8OLfcPdBbsbvRZuDQcyyrZ42OoTsMJ2GH21od%2FRCfgHrkeCyZfMOkWTSYgXtqYxGIGLcI5gKg%2FZR2xnb1upteR3rcNGITv8oKHpUWdLK9kIZlFfEtPUNAgnOY66o0dWYJq2a0UT3usCxxDZm0UIViE7Q13vLoyXH6VgLZoJt476o2dZ1DSsnihertfmTnTdREBRHm5ASIGxMbMSITKCmV5fMqgFiewxFtxqh5yfCPkmlKNcrJfmvyKlbaqps0Oa%2FBSPXk4FJjtWF2wOHfpFY63qA49US3T180HXmbqEjYsSpRFkkOVMCBH1C9JAJTRgjCWNAjl2MSA%2BvZjADldAJGTIoWBOcOEUI4qwvBSI4hMj8m7WHoFosA0M4Q4yS8XtN%2B5emVGJDGqX8D5SVbE%2F0bWETJRyRFYKQ8umFTkY2ZnV9Lz%2BVW9hgHq%2BHYhsrghzcANy%2B02yEIiJuDFngZnEHSFnTnqDAicaKOgtLZkRXBqGS3bgcqBK6B%2BmV5G4%2BxzA1IlYTTtL30wAPCkFZuhlgsViFEnA5Rg4UXmBbXBAW7JuNvZlXTVsYDMV305DdUPX6QyUFMwndSexwLkpBDsIQ4lUnD9QoEF8QmpcQk8FJckIIkVwvETqBSrIvHRim18B7iqFwNCcFoUKmSj9cSfX37WL%2BCT4mAKH%2BS76AYlpBE3eYErTSL68qrzEKiOZo1mbN1ujQapDrmTWb1s3iBTeQMCYcYfVeS5ks0rTlCPWr9AjV%2FbgZ8To6s7qOr3%2BkRUCKT5GAAUzFlHOkmV3fJEImmhCZ4S5ivYOcC3SUx70Is%2BgfKTQfQBsES9NEX4x0WTcQkWV5JKEJNl0UV8pDmBNnC%2F4qRYIkjLTUknCCTbfLBLJzy4rnSGTntJHjdpYIWlqzxK%2BG%2BRBy22IJ8gMQIibkjgh8Y9Q2H5aenHLwEJg2iDmhQybR8G3gfKxBAZwppQkDi9rFMfLSe8Fgalu2z9mKNwe%2BF24HWYNjNI3zoQfXsIck6YiAwCMhAsEDMvxfp9PxAAxF94h42eFp8V8BZxS3g%2FoQhPG05yIyOc5GxA27VgPq%2FN9uxGcdZCP9PAWYlmmiIlMHE%2FRj3IzE8YKgGEh8OmOkN4KuO6GYyNnRhoWNSgmY9%2BVfMfhBm7xIwZPp7ggg%3D%3D%29%3Bsrc%3Aurl%28data%3Aapplication%2Fvnd%2Ems%2Dfontobject%3Bbase64%2Cb08AABFOAAACAAIABAAAAAAABQAAAAAAAAABAJABAAAEAExQAAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAjPL%2FpQAAAAAAAAAAAAAAAAAAAAAAACgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzAAAADgBSAGUAZwB1AGwAYQByAAAAeABWAGUAcgBzAGkAbwBuACAAMQAuADAAMAAxADsAUABTACAAMAAwADEALgAwADAAMQA7AGgAbwB0AGMAbwBuAHYAIAAxAC4AMAAuADcAMAA7AG0AYQBrAGUAbwB0AGYALgBsAGkAYgAyAC4ANQAuADUAOAAzADIAOQAAADgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzACAAUgBlAGcAdQBsAGEAcgAAAAAAQlNHUAAAAAAAAAAAAAAAAAAAAAADAHa4ADV2ADV8AC1cEs3pishg2FfJaEtxSn94IlU6ciwvljRcm9wVDgxsadLb0%2FGIypoPBp1Fx0xGTbQdxoAU51YoZ9RXGB0bXNPyK3JLMApRwa%2FIMy1PPoJDx39kimekZX1c%2BDSW41tEZBuFiwdwx1dRoPVA2vWPSlsSDqhNkqYfhrqlVUGD0J3HEAgZavmtLnDC5WBriSpD8Uk02KsUkJ9vCFz2CZXAd5viwGZ2xcVYRPa1bEIai51nMYlbL2ERuB2TCzLAbPWWRZ3%2FsZ%2FKBjLk8%2FgAZzK1OaxNw4oGBbsNhx6Reg5HRFVCrwa15kGmJEy5kX1YypVm%2FHo7TjKP3l%2B%2FnuCTOyiOa6S8QEJbuiGYNlCnM7tHChCHRRQHXQh7yPXASlcvc5KrNKol6orb35kbo%2BiEwl8d230cfWPwTy00bFDRYURYGchbwsoDcaR2AJsFGCrbWCzBdQ0qCobWwLfueqAzSkzaHX3yCjDlGYPV0VZqVXlqbr4poRaG5NNPMDv5MCHkLSFyABMRBhMiGSZiDgABYmwsLWDjUZCUnHwvXt0VAUy4%2FqjwVgjfUqp1evzUqutJB7DW99Cq5aEhGePsa4omKUp7LnSQUz%2BZq51pU72ApMxkaVZE9jF3IGKVnF0GlK1E6iqLJXFzy1BEv6Kr0ngCzIgVANRwCkVHYJj86Sv2dzqgVrjYKlg8W94FbPGQghEbTakZ4AoS9h0u39DOoRJTA2iirs9xa5m9Ir0KwkogoqFNVDbTIGO0%2FWuJYfp61Kq0bhgbcbnvbTDj4HBESsXMdvrvpp7Owf%2FS2EbndoEoglO%2FjigGAuLUTUmG07ZGlRCZ4QZLu81tPEgTtAvF99BxfnxNslgVYH5Jc4AfHwsiktDBO4wjgjizFMsIeBTGmIYrhtrK3tvtBu5tYB0PDMXILUkFYPM%2B5yLLGOU9DtoDLYWLQig%2B8wNRZbJZZWeK5JyKNwumLgP7X6pqgiZMFUvfCTl6Urx1gUOjzhcICumUUsiNESZCmTANkgHoh%2BKU0t1fgQYOBkNfp4MRiJysezS1Vz%2BahE7ohM0iJBn4I%2BT9RJN%2FuQk6SjQGwC%2Bom%2FSD7Zq2RxvcSjtdxHfo7NtktA46mEg5gBkTtMKu7oFb1KgqwqBLzQqZI%2Fs4QSRhYF3ani1URTcMD38kDDqlc3DChmYJTCR9WpaWrYFiXeNi7jYa1Oe%2BSP30gxVyeC10DYOakGpWaU1qkQ9OXlujEbM4A6A%2BQ243TA2QnI8mKzNXNo1HPN1CFawST6uC9dkyQTqq5bOKkkuGjz0nkj35Sr%2BQ%2FkLGg2iQMrTKImSGshnX7%2F0Jyh0JziDbTzxp3IrbosXgpchLcBJpLLUBrFbt%2FU6qXqAaNFJoeBItBoqgQlPZkpTq31s5VZsgIkFupAno5G9oKwCGRqv5294xFqOrEpewcjx%2Be06mxDkN85c0ckmWmMzbkFX9YHAf83p0EsnBywjZbcPxZw91kqg7voxasp3VfDhEDAufUx0MTddLO5kCyKkUBwOm%2FMurQH4bJQgK%2Bp14dkBBhgxpBUkTlSbTE8DDu9qKiDSCtvmPY7FRMn0wuS6XR7J%2BnpjjeaDNwiOgIKUWCP9aLb%2BXpc4toQCryp6gjCVq1Cl1Di%2BtEx4WnBp2hmGZpEksZwTSggXuqAWD4B7WAMcir2wmA%2BI43ECxUSeTDT%2BxgR3O4XFPOGxHh09lxpScampLahUbICao0db7%2F%2F%2B4CBMcCokQ7aOQ02MOzh0NEaJGGOvPR1t4sY1I55lNfQ3IkF04onnAomXxiNg2EbBbPTMBBlv%2BggPSmkb4GNFW6Ehd6nDzJlnIXFfzr1bVWQlfylDodFBbhCDf%2FVB13j441dc2rx3h4hfAWIJuZqbH%2Fwbuafg%2FnTQJ9bnMfR3U6TwYgDQJIOPOtmZW4ZHsR2VifZGaC6Pzv4ZzC2nSAaqSe09F9MxuI4UmUVA2RAUqBUIETEIAhB%2BtBhsxhVMXUmv3RPe1grhYWLM%2BPHwwO5W069qIgDXtETXZQ3741DSk%2BvO6y8k%2F7Mg6GFC5fSK02yXZ1XV0NZe8iknoIbSFnDm%2BbMP%2BBCQhoLKOeU3FVNQ%2BgPEntwkHT950cQYEYQc%2FXuL4nxwcRW2bIN%2ByskPaD5Rz6lN8LW5IDLYfuvhxlLcjWXSADeTshWsJk%2FHCuRbwjqLcx66fc6UlF33HipliQ1cvfKlgRpVcsmIsiYnJjzJIovUyqi%2F2OTQcIwt%2B3WW44BAQh%2F2GymOIscSpIt0YUePiwOCJN%2BQ60lqkSRbWi10lotzgWZsqzEI7OGFGeIoFyqli41%2FNn7LfLQ0qtxkaAwbsKZQ0D9s%2FwhBqoxhAlxCVNVF%2FJ6rsUBQ49MLtR3ICtKPLKZ%2FQPEeIRgWUNLbNR3v3tTaL8uiXO%2BOj3tSJc56KJHol9nGPuclbrQpCn4keT05ETSOQ%2FDwwKjCRLgIzBi7x%2BU7ByTZGUWcGLPY0VtXWC7kQ38C5thIGJx%2FxLM3KsoGyRwC5AFUNWPzU0QBCaVXo6z1NCclLuPVA8%2FwWuNhiAG9CPPSSlIOCuh2AQM1d6MyIEIQArIa9YenQ5ug37h9gPNDHVLImcjE91ewI7pz7HgOEVqTD%2FjREYRtEoDIfgxzDePkVvHWJAtcpCJ%2Bg2o4akZpphRUQ0U92lJcKZGJI9mnpl8UVzpMi8SBGXUAPpgcS2cDAusSE6q0hNibhCgZHLReLsA%2BSv8wF6LiDL3TogB1DsO%2FHeMg0ETucRO2hIOvbp1NVkFMclluNmBQbTy%2Bosr2bJ7oWdUtSHi1s%2B2vWxq8njY1eW4BCVr2EqSyIUuFKS9iwVF5FBGeg0hRcHwCKMtqYLBfvVSYXHdGZK3Ug95C2d%2B3t9ZWEYqq6F4TocgcDS4tI8cvEEXK1%2ByB9RofdKpHoA3eP9%2FB%2FEBG%2BIgvmwZ4Iir1SOYFEtUG%2FoVkECQqoPTdHoNpQKpA9K9k7TisAUBsKPtWgBriyeOxs1o%2B4KCIFumN744dH3Yf7X8F426LGtEhFLULhlKFgXF8Wq2D6kFSBkViLad9D9U%2FP6A%2Fr8SE7jsr9s%2Bsb5ODWI5uS6BkZJI5RQ5QDVZ5%2FKOG6Dzc1RLQKAdGkgwLiZLQdEYQ9yhQLtD5kWr4wGHTv4GqloWePyHYyuy3Ek3iQVQkdkAz0MxcsHzccdMLO8KFh7ywo4jXywraIhIicAI4dWdD5wEXBhsMklzbWc8zi8opC3IlPsLXHCWOqOgq4iPU6xyDS2tdSLnlhSFjsCCWvMRt5TAI30EHR4f16NYyzoG%2FoKgCUsW4182Wvj5gpb0bGGLe8YRIYRGVgF2hwIlEfm7eUwwLZWW%2BmmBZPggPnIKI0b6G%2BlHCncx0wkaVPRQpZKWIIrzh4yC4Ar2vTKzhVKSutNi1dSzmM73AGUXSBJrQH5J4Dfb%2BRU25tYrIVdLr4ogiwTE2i2hl39ffJWHNTSWq3PvVJplNqDTJgJcvCHYoQAuHeOew0gZGfmX3p4D0aSr1BhXbXRA1qipfS6LiggtiT1eDg4FTCWwCdAFC9FCOZ52EdrFetMBxUdC0dfnqpr0mELJE2m5FVMvwplyf0XIKclHa6%2FQrw%2FFOVkVKK71Ab5iAVWm4GA3HnkCJhYkW06XJ3TDGB9YhVW9RuC39AFUcFWwU5eTNzuck7IQty7ZC9IjAGNHuZhQ8yDWZhGUoNyhDcKYQiUDqAC782makzJ1o3XJFIEDXgObv%2BTlS%2FdAr5rn2C%2FCDmkI0WO3cSTJwSLrS5dBdkyfpxAu4XghB3jgGShG8UCorOibUp7NciZgEDLmT6eOxDegpLRk7HomganEaTmRZAAMrhobApDjFWtOxht%2BNQngtKVgGL2yy6Qnsmju6DAg4d%2FRvxHa5mBaEMcBekCMtwaPPGeKFPMsgAJTidusMLUbTAUBJMOmXRwhONkoLPqBhpTuLSYN%2Bf8aeX1NKSxF2OUST9ezObkHETTsr04iWClpoFDE8OdIiDPQJqkHhnUPTcE43OsKBGS%2Fzk6F57sqVmhZKjPxle2S%2BiIE%2BMXOiTOoRKF0Q7mbNRYGPZDp5eIdPOZHboa4CTvwnlZb0zCOW6kZJh6klDDvYghmQ2FCDKB5DD%2B0nImiNcfSzaGT8aSPzEZjMQ2GPpA1Ws4Xeysyv0zSSMVVsiOoiowo2SfYFdapUBsWIoRXMAKYdguyVcwqX%2BzVWYLiNddi8p%2BxMV4dQIoUs6SQ4C1%2FBjtBw0ocOzLmMkEv5D8N4%2FZu4gYA4ryDb5Y3gkIxdb37qMCWYmDGgsyEE00y3BZ4FgyT%2FdJLHxMQwx0gViQjWL0QyBfcufCgRYYGiCHrxez874MrcqldLCEQLkCCK6pWCnULCh%2BVK6FW%2B1nm%2BN668e16QTKWprvRw3mkwitjPefHt5QKrVumkXsvsVrHdAJrodfWckxhhzknXZ8cMVIvKphJVfhvWbhoZbbgo3fygOr8PlKcVEYLTmUbjp8rTFlPRtPrdA8tljZ0REfnhwApCZ65Igtn1gBROJdPCCb9ZIqlQUq3W89ZjSgSnUz8nEBW03JCcQ%2FSxouQtYBE7ichYHbASPB5J1%2FzVfPINn38CqTMws1KKo%2FyvNXpDgBvCI08SBLSwX5Szp6WlpzoPEio8DsNzZQqgUMoq0%2BNMALrygrOlErJohXvIJ%2F0IqziZok6OuApG2eoGAEFsTc6yWf9eRcklYZRO3PkA%2BW8aN5ME8aLNC3Kdwtm64WyqytOEW1WQIg6bOFHAs1ovo3OfCvvZASxBcxg2SRCRTTJDBKajFH0LL1kSBroe6L9xvVxMCIFS7Zo6y4ZOEIkAI9QtGVIKKBlCvUUEq2S8FiR7VkJGbvBFaS6UzQV%2BayV6NKw62tbJbEjkJ7AMC17DK399DZr%2FtE5sUtaAPwaHNj9VCoVB4VAG0iNI9IjDo0mr97FWjYeDRSr3pstZTVZ6nj5Vp3IbssG3g0r9E2eSmHY97LYobIHPnEGkKDJP15WPWtwMgS8HeLd6NEnP4mIFlRJB4zLeDeoBElpUNRIQMzLbRQsGLj3DZhQytDQPLAUE9JWHiLKAJxVTOJNZsObEiutLqwox%2BM51t7vJQhBeQm2i5bTa4D8qIUjqI1sL9G6Vha6U6IPUabeCUMIufG%2F%2F6USyxymXNlfnVinkNvKZGUjz0EWKIgZEC4WkUEr%2BgP%2BFpkIPUVM%2BQEJPxFxKDlpBEeiUSaTgCm4sEfRnBxu0eF%2FLgLp0IFHMEt8aZrsQzTF3wRw8TdpzHNGMZrHHa6nU8KCQppWBVpJ8b2Xjq278mtoTfrgfAMSAm3cYEcDw%2BzcSsXTaUyd2PH6DCU0DdBiauxpsyoKlAh9IUAzS32X%2F0d3x7h4gL36Q5sC4YzkbttmSwhenP5pxxrBEEcoAohUGB1jHGtB2%2BI0FEcCM2y8EY1e2NPXJS7wp7APp46lC7gSit7FEFQCIDnNX%2F196lJs%2BgXTyJrXAze%2FQ%2B9GEFC7p5W7W5FEooh5QlO01B1OcYDH4VTmRSO8fHPjRo4FkT9GrnUZw9pXnDplu0YFyOaAsLOkxdsu2gfYJ%2BDzBNihSUutbDbDy7VKS3KwwUTChYQkWCmldyS%2Fy05EvDGbLbpkDfbbHNGEhTSiaAEDmoKTERX3pEuKYJT%2FlNS4IawkdDACC5Jk4hgNa2EGV8yblsXoSHDrqHDJs4JDXLLA67oCyia7LABDzBMInY5gnZCpFuyyuaWXjKHRgy409j2wNaI1bGlosUnhaB5iqHHZf2%2BbDPpsIwoahsWRL69BhhyPHQBUNCyBR%2BUJzMOBRMxTVhNsS0%2B1n5kboqmNZcC%2Bt6HYVscRaBeox%2Fvv3%2FxwdoUoRvs6CamykRGihd8HTNaL%2BxRuoo3QVZvFT7xS9opWLiNbQRti9PXbNg0J5WDsxaNesdmkYOcwpiqsURuor%2BS8hhgWniGGll%2BtD55enFSsyATy9MonNXUJV5Q7eAouzR%2FP4HlA5YWBYYjm6NDAEk%2Bx9On0MGm65%2FEm1GKndnRp4cv%2FjFAdM7hnXsaXnGKAeK4aE%2F6BhOq1%2FAWmgCMQ4zC8G0wBzhuMSeeVhgAl0jpwicoR64K%2BBYlYbWz0gTGAGtI3puhx3F5%2F5QKXradYFuhJPYWq3ITCUUNLpugdVBegedngCO%2FDN5mJBWzGEL932jL1YntvCgzzLeR0WczKl0J4g8Gcbo6p5LOslpYBw4kE3ZDMiHPjBGyAUjkrWXqYTrl7gRUwex0zKVekIhoI0dsFRDtQxsLctjOlRs5Y2gYpQeBORQFR4C3hXh8EnZUzuloqFLFATXzpzv6k5XoHB3fZLNUiPV5DvAfroLwH8tYhkcOxWnHqePfQulM0DCPTadXa%2FTpoHYkh9BeeAwpmi9Kbo%2Fm88ob17pFzKP2lJpfWxbyD3PccS041A0MQWUqNDHOPOFt57Q6TiHQEKJQsI4v1JqcD7Q3orOdsLvExRQwS0nlUtV%2FpQbx0wSlrRSneWAQ%2FJhPaT6rMvIcid93ahrnKe34YxGA3D30BI2lEiLGh5iAUkBLBoXRshvpjGJGLzGcvonIqzVubgEJv4mbEl7JggQUWb6AYaQMmGUXEwIjylByVLbgcEbUQL5RFiRkX%2FbOhzb9XavzmFpR0cOdx3etgoaCPbiL5gR8o0wJNdPMCYcmyP0SDmmsW8o0O%2Fy5HNRxqz3IhmaxvIT%2FxpN8Pj%2Bx4i%2FGawfTOod%2BpvHN9BMNQUKG555l7yAKsma4r8JwVm6gxqBECXHA3e%2BdCsONR41WrcokynYzYqB0xlCdg9Nu%2FVL4rgwOiTVy8K70TghEjAOHeFBYvGwmkrDIzlwQsyBsr3K%2FEBFKO8UQ6J1hU%2FYGFA8fGgTnBoNnAmZc%2B9S%2BXnpbpJ4QKgdip6TZnI6woSQaYgxGpdaxxSuQkxu0avCBOSwchx0SS0x5HgR6iz9AkbeoDFTnGInFfbnMUP%2B8p3uSQu2CVkHxeVeEMICXKlVDsj89UY7AfyMvxTyws7ilT3y4zYSLVToLb1IwDJHJ804mZKVSKgSOa0mHCQrjWQLaz9LrCiISicIHspx5moJ%2F3Ng4rjU8aMqTDl5gjJAFgAMupkEoWEalYEtHh8CvvMqUP0Ra4v6BRr%2BdgNXFRLo%2BjKWRhaP4x63qqfsnw%2B%2FlDAo2doOxQP7GwahE%2BiZ2OX2l5DodFT8bGiL0YglcRmgDoYIEaRBLqdbj7HFD8xfZz45H2Tg6upN9XjuGCxtdxuVuRjssowtewrBo9gBM3T7d77hNjF9rd8QTMjwGLx3oWax6aa17t0I2gcG6kcQgw%2FphwfsB4gsCGgMGZU8P%2BORAg4iQDmTP9XqByg%2BjtRqWtpaHjiHSL8CNah084UP6Rfjx8GU2eaRw4mH%2BA9Ad42DummqhAj0%2FeMNS3V8lEHUSc1ntW779KspgJUBtJQEpS59ODiBRghAyioIrf%2FKoPh0eAJWqxh%2BSurG%2F5xVdzZBLgKEiYy4izBuKhCRIhfoADEt%2FB%2BirTWSOZVkcfzWBbA%2FAO817phMFhWQnvTwzjirEna6JgrjgHyk%2B8nWk0k06KkkSOOryl2OrOta3U1Vai9SLWxcE3cY161P64wA5VUgBExRGc8qtWCkEHIJfWtybVbTm%2BhrXnbVSsP4ucJTC9onJ8N4r9lRaV%2Fc4a2SZKmPNCgEUW7LDBXhvFxUvZYtnIuGD61WQtIrDXUc13hksUbImFeHrIBgvnG4ogmKBk5CClzY5DWqCCMzdrHBGSSOTyO%2BE8inLMGSApQqKJB3XKm%2F%2FMFoO17KuwfwqcaqjAyaJ5JOWW1Myr%2Fs7ZQiw%2FPqVAMH%2BlK6DYqjGUMcAXnVxy6z6CDl6j5mDa5EG4j8C6pr0hKyRNnoiR1vl9DWOfC2%2BM4v44bO3onXro%2BNlz00ZlGV2ICJ5CcCazVCJHIETBqVFhGT7KSBdNDv5ILpSacSTL0S6fX%2FP1CEIT5NZgcwpI0rkV7LqiHRoLUAPjXEqCZ5mLntX5JkkUEelCsU2tXCMZ6cZivQI6hYQNbXl4nc1sSNtBUTkQ8Y442KxRe7Uy5yOzB%2BUlA3MhvFmXweJJj%2F%2BG%2BqwJFWFLNYp0JhzD%2B4sl4JYn6a%2FvShCCo8hchMfrswjZgUqiToKfoOGaHdIAnKE%2BiEedBkyLwMSoNVX83TJERFy8PLMpBjsXtBITuS9lpPCTVl%2Fvs2Aqzlzwnj7lpl6VX%2FQ74tWqUSzaKziwue1phr9BpcZjNc%2FGXuJUq15TMDnCsJS0X2wAtW5JQA5MaTyUH4cDRif3MDxZx3Se89P4WSIvEEeLjToJbXf%2FrRhBMtRevJxuf%2Fs8EK4woZOFli3yTq3xqjBjrlierqgmUpFA15HFkeUOuLDjuhzLDjAGKK6WThTynzd%2FtCQWU3Nzd8%2Fa0q%2FxwZYn%2FUPEHU6lsdG%2Fn8gN%2BYACURCU%2BW%2FldrXpdUK7WxhgWmNd%2BLDoQFCU0sFyHn3KqFz%2BIg9e2C5oe9EOi7KdTBxPE1k4k5tkX%2FoZzSih8DJDFd%2BrITKNSsAAGtscSW9VDasqkEamMzeUOhRqRRAj9lc%2B7An2YOdL46GdcOLAsgYaFsR9hs0ToUzZ9rFRLG1%2F7eYLz1l5ijumbe1druwaHNFzZjtwt%2Bn7paZaMZu2EIx%2BlxX%2F2SBrWJQQM0wmE19eWrGPIVMeAzVWWRp76m1skeqzaBBZ6So4eD8Gpv31bn%2BnO4WG%2FOg%2FB7xQu9kpA3eZL3w9cwzrZfMmbUSk5OiF3Qx7bQYhL0VoUQQP3Hmps1bBJDQU0qAJpWwnb4iFOMBthzwP81ilVnh1bIuk0C9Xe%2B1kSK%2FK%2FMYOh7vIa7ghqGEKzCiHrehs3cA1pzgec5NpLDtCqMPp1GVECA4QZKiZX0hQ%2FGqjOhhObmpH0vwx0WHctTrmGC84Ub6BOQVdXIqoxqMVNhQjd%2B0CYMRk1zp6%2FPnIOsW7k%2BhQEruSB7%2BDEGv1lziYEEwur9gsigQBG8EJ3zeigdA74WvD0h2IbdNzPw3okAFsdmi3qKH41lxijDPDtvZcEzXwUnRNn4WpCP3vPNHhO8czUiYjRn6GRIQ4SymW9MhjUu%2FjbWOhOqNeh9OSRNh1EaFZcalxYnJMLCpTlEDttzYxhNCcZ86PUpbEkFmkU5HRiAF9AahZ8jQ769NUzJGkq9YLj9HWZLEK%2BIryXyPLZHAAHsBSe5moWq2RRQT655EACRYKQ1AR2mNQU6hNdrqLyfpSeJ5PrccWf3dXVxmIidWyyIkCm1v1oFYgyGcXwrCRPXPMLYHRFvGVuYyAUhzgYntJmDhE4VCNKoSxWlSFiFuMGumZHJnCJyAdT%2BHcgUhIEJZgWOjmy%2FZWisKRYo4JjuPntQGSxlJg3XJ5DBsFM3kGGQjqECyjqYFW6ccOkCDy3EhUt6taBIaHclyblt3Xxs353KjciddJC7gI4cZaPj4zBxOVNfei9MW9cLUHspngSFFni3AL7sLsbqo3totPWMf0yD2bdWKWuK2a4eF5jKcYCZyvORgcHeETtqeqhAYtIyiFGAYJQMOX4VJzPjyDKiavWJRtjWCnaTUdPR6FRkTfFAARc%2B3Ln3oFDETvxxiaDT3roIpaWwEEjRlhjvs9ZKiU2o1HJOMuVRFAA5fWzMgAqSKDaSLNQcQZbaFzsgKxXWIvjaOqsoiS0kA1bx2TN4NrJBVMJcmRWNIqrjepyobiDa9yXYKmJvgQWZhEBvF8wEx0pMQqCzcf9JemmcVMROHpvzARvqDrI5WOXmah0Zkh%2B6PIozOYm78ieRAJObTPxSCLuwQiRlWaLSxJ5hgIIrjsEUKPWMqRFuMgh1FsNDFw5jPGKPTWzyiSEIS6IPweoS55G9SZZ6wcpW%2BHYMSkoSETssJ3QQM9bQRo1JdCQdS1np6F5WR9wujL48y6xB4M6Y7FMnX7f22J6F5gyYVK0QlgEQxVXFUuC964aXqqhT5cX8XaZv5hVzeTU7bSoy40QuTOUjLVShZVi5iWJMAbFhku4I5QyO1x0Pm%2BcTesk5XsjnzwoAIsmXCFbWyIZQuawuVuXuR8DK92lWJDrNrbFtNbCj5sTTCx7e2Wb0UydtbZ%2F0CSIT7OnVIY0fRntwN3jNOdh7nGpmmq9CbBm1uLafMptryjPHHp7tKZEuAL7OjXHySRjUkXydXE%2BSrNxA2Um5Al8Dh3EZC5V4SFynxsMTKCAIMqEqNKzuJCQM3tvVBjRfT7xHSuCO72a6pSo2wn8%2FaXBmKI9sW2BccnPF8aML8%2Bohhb7ciWy%2Fxch7McUey2CPGCyVKaKDX8%2BSBNgqZqMLbCgZ4NPkIF6NfeH7gtElIrOqbudNqU8yyyewVZneKXuzObCUxU5b2tecTa7Jn7SE6UlSYMTkMfCs3Q7fVCaqK5k6pf%2F2wW%2F%2FosIJEgW3skUNgQHyb%2BsAi4ECMNcyjicIITuXGyXkkRIXyN50Jg3r1FpMmaQSUl9pGxnNMp8jf24vS5eX%2FyJYlMUISy9e6JooaPn7fiuG4QEscaDgCZpra85ygZUcJInLV6C314YPJdG2UL6qljb1QV1ZhrNcFecs0j2qb5gvkKHOFxHphwdBgEJc3y8qihwdZCQpJ62h1voTUccffiDJEzkU8jbXRvLFdPbcmVBUhArEuTKQFe570IglefLJ30dWmVAtx23vIGmF7N6auVNpZUQVHNmAlGgjNet51laJgLQSpfZyxBEqLwoCEGlF6ISp0NUmhUHT5a12%2FZElPE5UGO9AVnKpae3D5llVvXAHK0FIH3uE8AXFPF%2FSwx3OdCN6aViMIxEVcqv1UsLJo03R0grVOHRogBCiYVrK%2FqFBPmGrDyXLgr6DxBMSKnf1uSBgiRjCiwL1QoM981XHZnusKIVJ405xXwx6aBUuM2YXS0jaCPwaC2Zdp07J8gxM1KnpWMqNkRCfPaYTelLbBmd97YeNAOFaFOlV29YQn0qIInmIeMFxikX4U1pEusNYtOX6tKZKkgVONLhIF9ZPpxNWGA5fslgv82Lx49LF6FltT3Qp7q4Rcu4hKczn2m1GTA4unFBAkDCqY%2BD5s2dyVIfDeGeBgwDnPbGYXQqwM0E%2FBCl69QtVYbUwkQZAtSB618VkAzCPAs93Ip9qWnBMX%2BRUX0PFxCACZQwpfvNvAMGrD69RE6JSyNNOvRD8v3gzw46n8oB8mFQiYiwgidAyJgrfY1SaNrL5QDEjIIgYLECALRSK49wPmSO8jZLnesJ8oFZjWJyTrfBrNRCeOMoaVxOojhX6WVAhhJ6dvBPZ4AbMXC37YPHBFKUgA7t8mCk8U07mFgWg3wbOZDgsEZBOC%2FApoLJL8CzpXhZuoEh0ntzsvrUPhE40%2BUUkCAm26DxGMecbxuJ%2BpPJct9BZL6lVcWLmHps6SSRwqmRJeypwrd3vNnIawZkqBn%2BumMrwB%2Fc%2F%2BIAx3X3Ehjr%2FzJIVUK8Luxlv5IeNoBQPnIhvJDZfGo8KIpLh8O4iRusiuQOtytJ61yCvQUGFmCxEEliRlQmkN5wrVLkx3CUrlDG3ABe14lLsoysj9hXY%2FTJpUb3tCvpw8Ez7Wb20lfIScq%2F6wGFIrBkgzjtNLBoYqAgJoKvDHcdkTRNbmMKP7Fha6v0z1qPmfqQzKW%2Bi9g0kSWn1vQuqaJyaTAX7hrJwJgfaPjJvb6wXroHZRAD5NH2E2KaWtBw9TGd9mIea9%2BPrxlBpyjnQhg6rLogT7414uB8V19PPcBZUhnNx%2Fhr1%2BtX%2F1jKG4nnHv2EtR3VOjo9oWEibOHX8508Tra1pFg4lnAwoQ2u2JcsDi7diOc%2Fuhvd8qexCvYgoI6m9VYAg7Vl0PRXiuCdgHdKDIIHG0j73u07ULaOJJ60Y178Lsgtd7zYdOUGlMCYhR2Uhyglt3KUjPCpM8MKjVS6OgTHgqD1SSQ%2BqhzInvSk8VzFP1cI8vLxtdDvH35uPzMi4mQtJCrVUqhBWbQRke9Sjt9laOS7Y9YqUkXldpaAoofKmUNsx0D7eYLc%2BspsKbO71qdmmaGglAJjo4kj6XlnIWS1hQZORC%2Fh4i%2FCdcbaFFuxb0AYMJ7EdQExeIHEdPRtCxVECvtxHzbEyldDvie9cGKwImUuI0xEL9W%2B7FhefRJ05ePV427NJDYmhOCwBDNBP5LrIiblD6aw7pSeWFA%2FlDoWYMm%2BZEcF16VDdA3ALq7hDBlLUzNTL9AoVyczpCwb7xHucfK6T64W0AnDzYLg0HYWadOMPdoP%2FlliqiAlAWP4rio6stY02elA%2FLOPBnEr6rsAqtMRsS2g6HJtNANGwpxTdZEP5Xt5mE2gPs7dE0gyQv%2BFdd8QTBEqmAeMHtNnjBtKvg7KmIZCj9303GT9mWQXZxolBupTHIhJT%2B0WN7uu1FbRp6NnSRDIj1aXRJD25s%2FAD5%2FIc2OQ0iDp7%2F3Dbv3Oa8McFBhXrPpAKzhrFANFpcnLmEVTXjq0MO5sJAPVxFbMh93VfD%2FDppG4mBzXSgVfXJeWNNxoKF8QTwcQFXwQPB7QLE2PENdF%2F4vDL9zn0ZgQ1i6Nyr35KAwetsESlUtEENQbCFOeUFb9lg4Q%2FW5lUNo2fsscGbWY4T6pynpP0Krl%2BJFEfY%2BGGHI3aj8aBO0K%2FndAEPa5FX51Niq7CEOhoB2hSpGAgBT5%2BuzxAMzSuVEeQmZIbYew4tM4UsHYdZtT%2F9ibeR1u6rlX6lBQlSBT6LQ9YUEAgmAxLkAKQL9PSm%2F3NQF4w7ZvdqRqMJ5DYZh3j3I1rDmyXyti0llyZjkLnoPtHHwZd%2BfwWVz9ztMTMCFjpKBVWAdcYhRV6wY0kRv47nqddzEhQvXsqNstE6GNiLTd8iliAfI5vfm2KjfTQwbxz2uFzaUL0A9VKWzB7VrWS0QvlqVw9VCXOB6RDSgbNtW05PB7pEz%2FHZkv%2BXQTUD8mSQ3mJk%2FEUe3%2F2ixiuDVAOBfyIscXixo%2Frh7BHtl5KSBigokAOClzsk5pj5X5S9GLKgu5AbQNotZBWU5zoIzScHQKjeFNr0MiX0Mp%2BlHmHKuaDcfU2H%2F%2FhJmeXl1nPE8E%2Fk8ULZ%2FCLYtwJWG4CHI8h5ySfOAFbkRVFJyi0KYkQ%2FfhDAjciw08ETminGEMzG%2FwOERVW0AEslZEl4sfr5AYRKGVSMzkDSQ%2FnhkipQ8y8EF9ZRGKCOxRzfpNMubhc%2Bs9lZBHqNegMaRLozjP%2Bg8CUsaVzp5Wd0ZI5SaeSdNAD1HIc0vTPw7SLi4Jpa1gGgtEY865KzsFCn6I1RvKT3r6BVdYGsBPWdVzeLfbxKi8BVQVzd9f83goEpezGYiAXT8S%2FpW37TxnZ6f%2Bog248Vvj9otMMAmzAfvCpPYmXIx6ZAKAwBH737j2KJpWyuPMnFIBfqRrEBYiTiWVjvdx5T7k0dwFjgjLrLVm28m%2FXLNfjkSOzkoh3hangxcOjvxzVDIGSxYBxI9ak%2BDsrVTPAlMWZD7OThbuxdkWjCtGwtH4QzQdpmaBsHV8Yrg1iAK64TC2WMbQJAFFciwJFPSRQ86OtUrnPSODgRE%2FhD4qWAHDlWBDy1KPUCEbpodyyU4TnaIFzU%2BtJJAes10UhzVTNE6fGDGUN33wCgAZYoIz44wHk6fDO7wGbAEwmcVQg1HGGByFjYGdwJD1joA5AM8olCJ1LlTUGB%2FkhlrmbJbCbD4Uj0GZTy06zCTjOeVkJKZzqk0nE4%2B3RmlgDHpJwCwwZKOl8SEEH%2B8TQK7R6TiIPAy%2F5M08zWqjpXg4KWF%2FMNQpvipZJ4KZfGsivxCXyinAY16NjMD%2Bkgtfc8pGpAgSyN27l%2BuW3OjjOCnldBAJLpzjAYdBoh3b0yuYkLj7c6iwxR9NHW9WBeGVYjvaTEHVq2t96HA16vtKz3ZgtNuJgpjnNZRGEjbmQuiQEBJ2BdgHxFDqf0F1dQJcS4sIvDHlCASh65anDjgr07Qa98i8Jb1rAbSdOOz0cM9wlKXm7ugzOMTmi8EbeTBIoHrudZ9RSwEtADDsgyFwnxyfzXecDzLGFMmkRrGWCdnWVnSMMcc4cl7NaF%2Bt%2BgTHgy9s1SV05LLaw7YYgNxNKt2kpiEgpahsRp%2F0tarSWdfS3AdWYIAnrT68WTwX1vtPgL7EMcIzmOpOxL7oZh%2BcoizveUkJVmjedZZlkwkno1E7%2BjVJIoz8APlgweTgHUL%2FGciPnYgtfrq4TtxE4adiNQ2ZgyJHWYWmrMlW6ebFkPaAUwzKsAhoGXxXGRGKFObHKQOqFOnGgkyLajFNwhUa4fqva2yI2DlREZ6p0CNOGwR4XCrS4K3SH8pDQGvZIaDcMPtJUoLRM0owJ0iT9QcdRK5IRIIpAOzsUotf3TbAVvbQH8n5voA6kUzw6LqVnwPkmnYxgJLYiQ7hQYlEsYL4k5GCZvd58ypvZfwO5t1fXMTj11hE8GuAZhX78JMPsK%2FJ0yQqDPk4Z%2BJbbXS1tia0EBwCjgWUJsUI18clQ%2FL%2FH39pOY3jRcZFFfW7bC5v98f%2FwQjY4osg1CYvJfYmKVWbiPLEpDvlTEGLjUbCmh74cUqKtsVVr9hspTEdTKrKSRjqUHkhwgyUQeNizUsUp3cLmGnOoxPIuzYDGHFJxwclXasrQR5Pp4%2FX9adXL0zyaNRcp5govE%2FKIiLMyYKgb3rKpuxbm7t8U7GiR8qcIvzarYOuIr0z8D1QgHRWmwQj1jMXJlqpuDBiVUQD80Fnr7quJElyEAs47dXRoms8yEtA2VxNaYbJmUQ%2BlsKhyYLlk2q0QMXQSsMctgTGOka0GYae3AxbsfNKwpf8YnyAYZzDx20P8xvD5aQ4OkVtbj%2FxeO9gPGmBGT3BiXsWroQWXXm7Mw8XnUAttSlNyNEsqWLOLy5MJLmMa9m7Abm0SuOJF9RWA8VDp5xMP%2FI6LaAKUmkqt6%2Fxs1XyWrgcDo5hjmvshCSHhWpwCludJPk5i4bpUhqFw%2BRmK4VAI0O11JGtbQ64l%2By0LUdW7GarSUUwP47kW2CYDEdvsA%2FTXw0I4OPf2SvJ0FKjn7aZxxwVp2xjhpWMTDxaZMkiOxaFFLydXq16fefH2qVJybgXVpioGcKFhS4AjNTEa5T37zLo22Qv1apFD5qUjB9w8yA0vSc2RMiA7xIsRIGBTWOjHH9SZlK6QJGru7w%2Bq2GoC22fzSVxkr%2BWlT9rAABqi3RiLzDxns68PSEUIxqrqFw8oMUhIeL%2BSdTHAvw8M5C0b29DIIfScMQS0TKwvPEq3kAQvxMTC0D%2B7tnB7QNRliGiWl0NuVnIUY7QMwRkP%2FgVT2WDBX08%2BWLDc%2BiW0mz2CZ3IAvWqesMkIe3lWqMvUDL5Q33McSklm9U0P9SHgPGGVlX40diyUBp%2BpfWi%2Fh9sKTOvCRCj%2BeFIWvUXobOyAxrHlhKFGhOiw1vyKUiNMgN3k9No1jfVEpQEU35laY1OWX0u%2BF%2F3AcQq9opTw0RwEyxVosGLDgIkSdn7hs%2BIHrv2jR%2BJUh2kADlTtyX8HxtYxLUhMLj3%2FFpJAhfxzoRspqTIQicEOQtI1iv4n0xi9GiED3BLS%2BriXyEyU1v6KfcGAWCaq%2FgQ5kImR6wna1UoP6KtpT9XLI4EebxCRQriHsHkCOgDlZM8hJEHcCfGIERpbdeZFFHtE3lBjH2cIQ5p7TNVfRTwBkflxGhmddY2YfZbMF0bFv76YdpbH3dxSKmVVsblZW2xdvOxqSIQqbw536IFhJKhELagVlMG3LQqHU43e%2BRZjx4BJExsLcLX1oShyJFvhFevBTFOUF3Exw2yNBWwMCW5QA%2B7UmPhwM7AMOXRddPg6OxuaNAmiDYRKlcHo4FwUeta%2FLSOUyYddHQi3OFkb4z35KYG%2BxJAOZ8LTMyJ%2FCgARNXgZ%2FC%2BfKy8W7VwKPzhRpDnIMS0ClN6sPMpa421GfuLwApsG0C4FpdCsaLM0NtsctgKVSkeql94%2BXUmITqdGBajY4m4NmDFEk2HiFjYtNLmZSxNY1QM4KakEvIQIFts%2BOJ0QCRKvhCmQcfRAjN4VmYgb58CBUMiSUpcyuEfRFZS0SThDQPO4aFcJiNJUvlFdO0s8RaeSdpOSHscV%2BJAIchHCniOYTsEqhdLZtWVSiAw6hEDO7LI4or%2BkXTE6zB0CA9o4NUeZIpS0Fn7Q8lU4X9sZNCO0uPfjoWqOaqDVcbxBJSAs8RV9IcKmOPY%2FLDUnXDLSYfFT1xyNTWRLKRW0kFxctTIuvuU6R%2F%2F9ApGo0EHrqGH7dEmsI%2BgA0UXpfNwWFxUHz9CYK9toXP6IlTFRhuGh7z3bhwL5qzzoRAF8dkwboKslbtuftJDrshFMoBNaIvpSXyAFRCCKFOKEkzCkB3NDQB2qtV%2FANwHNea%2BAUDr6WWScJazRx4glReLp8vQ8sFtz%2BhqehlJO6MM5NMIc8%2FkWnwbE768NqCDKBi%2BpY288WynJ1CT2Kq9%2Bo6rhlUpRatsVIsacJhA%2Bq8M9X%2FUQMRZhshDAvsXwlZfxDn%2BWCfyJyLFA2s54on9a54PSC3WgchQWZLZgEl8xGrFUqCofhkvqYtXjA9XyewEKlnAtD26XlSvqtdhXOT%2Bi5BrX6S6hHVcqbZ8qbh%2BEzffUpCfTG5HULg9DQQaQ6ENkkq3DvUSAQwcxh24qkmtdRoIMDxOVDdy0T2w3afIBABsQGxnqJaAOY1gWawTUuhslaSivzrXaPcRyGhUkH0R541UbNvLKiY070WOGYY4R%2Fg1rfKhHcjoV4p45o21tldJXmpG0XsOekNlYucZlkAWkVUHtjkSeUbdfBMKrGATodKL9arS5JFVovaKRlOWbNJIS6GHxuLt8CX%2BBYQUYDfxlQrQQhL7z6vChINNDAVVN0rXxaKjegwIPOJf7rXfHBBHGpBNpaeLGFXCBrWAdpIwF6mcE7pE2z4HdIxcWkU0QA3TKjZQ%2FPNc4VwWA3OqmXuoleHBmMRLsU3ENaVgIpVnIWvBLVDYNLzVRdIefms6mo9VoRQZ6cCkQSOdK6KDkWEMZkQyIEM6QUltTfQ1xFpxUL%2FlFho06RSy0MhFQCIEh5FrTToDEgpZU4QcT%2FbYWc9XTPTTM6ZiDUk6d8MHSyFOgi3cE0Oh5I2Tv%2FThHNjxg7A0zwweFEVnLpE0Ai8Q9OWYcdB1zNKwLEBtxjc45oHjshf4AMMWhwwRhRdBnjEU3iL3TIBscW%2BvDMwGJnW4omSkqIJxsnzyWwZBg9lQCsSZ2CK25fZnAEtrlT3WZ1xUoqsQBEiEMEmCZAjQU8EhBFQSUEVhPwf6Ekh%2FQtYOKDqg%2BIfAJ8CuQ0oaANSG8CrQwYJAhV0I0D4CXAOIBYAcYMUAO4A0AuQNYAwAWgJAFzA9A0AgoIOA4ARIJoBoDTBVATUAVA%2FfmHjl6j%2B5Pa79V8K%2Fh%2FQfNvjz3P7ler%2FHHh7%2FPw68DnObsHvPy3cPPA5wScuOB7qBzX7b8SuTXQrw88fvOjUnszbV9wOhztB3%2FrTR53FdNbVFq3a82jxmuwOcluBDDjLjOjALxD3%2FQiP39Y7a5Rt0oNm7G8V06nAGXPxV3oiByNCcCfXAkpuOrai62YwdiJaYXnQsst7b8q9lbH1AhQ4fOtIhMRO4kqFfJyARyYkd8VFgh1WJGVCPlA1ZMLjSDAUNwDDwkxBcqWcEmILYipcSYqtCIqlSAqaSAqUCAqkjRU7GCpiLFSkWKlAgVIxAqRiBUbDiowGFRIMKhYMKgwKK%2FYQV6wYrughXTBCtmAFaz8VpvxWa%2FFYZ4KujsVY%2FYqr%2BxVOdCp85FSnwKkjcVGeoqJdRUiaio4xFRNgKhy0VBtoqArRXysFeyurkV1bquqMqqonq%2Bh2r6EqfoBp%2B%2BNH3jn%2B5M325m%2BzqX6%2F4%2FrnjqtKKqtoqqPhqmWGqVIapJgqjWCqxYKqxeqp52qenapVdqkp2qOnaopdqh52qD3Krsbqs1uquGqqZaqmdqqVmapLZqjdgLkVYtPvgiXswWobLWxLWyK0qjACE6uL48VDS74vVFa9UPr1QitVAa1XzWq9S1XKUq4ilUQUqiClULTqhKdUDSqgSNX2hV9IVfB9XkdViTasMbVeTarwZVcjKrSZVYS6q6XVVS6qiXVCBdUEF1fgqrzlVcsqrdlVbQqrWk%2FZ8n7Vkfagj7JEfYwf7Cj%2FXof68j%2FW8f62DVWIarWDVaUarJi1YsWrEC1XsWq9C1XQWq1iVWMSqMBKoqEqhgSqBxKvuJV7g6ucHVwg6tqHVrg6vuFV6QquaFVwQatsDVrwatGDVnAascDVhwaoyAqiv9UO%2FqhL9UBfq%2Bn6vB%2F7kf%2B2%2Fx%2BtVskpnZEuCUxHC%2B%2FYuIK6NNKiB%2FEzIk5DuCcPq3Ew4GQBYmlqw4gUEVMiRKFQwiMCQcTgAAAAEDAWAAF5ItM%2B6bFophhd3N1nA4zIKh4NARWfqCooqII1UQ4kBYJ2AQsGyO2lAp%2B6Xiqm%2FCkfz5urtugisAuGzxeNHQh1A73Vh4dG0%2FNDkMQKtSO%2FBTm3DojsrbF3jq6kKdaxNxwpKvTKteAnM7mCQ85oHLN5AxXtO3FxElkoEAFo%2FY7SdVN5daSO3q5Y%2BGBpQAYrusw%2BEY9%2FXMmtYT6y1gbXXfGgzHr8ic6AN9hcvHwEYELAoOjr69A1yaVwaL10euR3YUZUZvQl5xZXoT8YeJLqVKFrjMLT83%2BN7REmekLvRn0TLh%2BZMzVhvjjOcuh7%2FDGoSIzhcgAEyu2q%2BgmErl0SoAyvHf0gOOHkuRFZQSSkFEDSG4HCQ838BiFt5mdNnEIYrPlCai6RoN3%2FEdkyVeA7o%2BHQvKrwD5CYAAo2RJZIeP1xRy%2BlJaWuskPYYJ6GKPdNLzxcio1M6LXHJDQbx0X1i8B9YnLsQYerRiZjBe%2B2alDqaPIASEoxCeRAUMVuivCDeCNo43Zi%2BmFz4viBZJrJMbwxhXGCv8CUG%2BGpgMJzaVH06hQdq5woKyZyKYDByVHQl05OpUqPrSuURMAxrqnfhkQENbMcnlzk3MLnnmnljBLSdHj488rWP0ithH7Mq2sETRkNmgYc3AZSu6gL%2BCk4IDhPtHR057XmxZs5enMzU7IR5rdjAD5bhqPdP0mGax4%2FBC5rzvd%2FNmFSTuivxBTftCPQY%2BTO9CX4l81r5FFfrkZ1yrTcaX%2FE35vu8hUNdTlgS2iD0q93mIVdiG%2Bzz6ZoWvKaG4axR1VGYKVxYs%2FhBQR7uUeb1mU%2F3VlT93WVa55WteFObdmuaGauUaHua6G9Lh9q5rpXj%2Fwgi3iPylvEGKzMA9lXBUjbXHUnsEBSjM4dcmrgF7f0G9lwAQt4RLmuXHbpvBr9TrIO6tAdGiB79MRHozMKD8uVjof8zfR8GjzHzhs033A2Py%2BejgTAGqXxpL%2Fw2WVk1lFTJqz%2B0kBeRuJCR5GRySPRQSmUbztwmWP9kLIWUhlXSVdCicr0AP0QVDW1JhE6NsgqFunp2ST1zYgQv6Qnhu0JlL3GiFmbc6pMG8mzBJsoRi1z3Z5NTM0f1ndDFjciaUQqsNg6uq3fi8dFUAWOQGs1VX8XhLFmvpemPhnFsJ4EJp5fMYZskQQsqfYfD9NJDx6cnQ0sTSuR2L40hG49L%2Bmrs3RoC4ghACgxYOijJAtdpXHsZI0rFXEhZYgy3algwWFOreuLxQmZTNtXroCxgYhVHmAFChJHArQSkYK5FLPlzPCQ38AzsClDlC4ke6RHiVatgqkBMcH5a6mGXLmcLkgxPCTi3IYssNhBMcXoBJkK7iAw%2Fq1cJO27YZZ1dgwK6TjpcOKZhOClzaJK94ByvnLhalwYwwHNGbpKKrMoiCUVvMU4ZDGftbGmdYDSWM4M18njvCm2QeRAFzCJCDrWq4fFsh0jgTZAy3lAyEhSb5p3l%2B7zqhPPDOxcQ5kAj9XEi83gCXQDB330FUKUN8JTMzokg%2BMHLm0D3oGAQxNjGVUC4qv3mNqY80W8Wma%2FG%2FRJg0Pokw2Jil%2BUKRbOEH5QZhYg2DwSICOBEYPtpPgwWBiCfyJ0YCZEGKrTfFYsGyw21JEW52PoQdw%2BSszylGkFpTMhd5kWLnyTIQai8z1ij55qLRN75GxKwkR9E1MhMUCbxmmw63GyiBjM6OORqQNMpJtSUqMssFsiIRB3bOWC1CBqx4cDrtymvUnfKZrNpclIQX0iC%2B0SWyKIyxEbrSIkB4ly9nnkYJu6fFFI5UkewzCvGzpCmkfDtvWO%2FvOQBSKG%2Bw4WeOGpxQqahRKjqs7pmglalwleZKZnV2WNi1CBepIZxSes8CtZlRI0GWmUOVcYlpvK0hUKRhWaEyXRViM53DzUU8eSDYlUJQqDMmUYc2RuqTtfeLBUIWJzpxmeJiOCoAXmCaSqYM441iWisAz0U0EQHSkfuH3o9uyZk0g2C%2B1Huy1lYiCySpvTSdjMKwTiKdQVCax08qRNA1Vs2wiL2IyamfCpg%2BlZwXvOo2sB1QB9xIdX6Bj6VzRgd4UoHI9PenyASnBA8k3EjsE1S2ipMclWB3LPJeWzSHOikaNhJsFX5zoP45XxaGhDK%2FpP%2FDIYztiS6vqMPACWcgP2kpZWjOfJBHYRQNI4tp3WUQGWpE8ZqoZEFvYJaFCTkUJPdTqeYpTEWodgDyHYOTQomy%2BoKxLC8BtejPZfK3UMphCswZ56qASoLK60kVHNgZzT8%2FUWcqkls5xsQ57uoPAv%2BCrnsSCROispXTpjPKe4ND10sCf%2FElOsPgR%2B1K2fX5hXhJfNGzBWCpiE4EjGUBgUzovLqcdL1yqDbTutsHLe0YqwBcpKRqcP65%2Fvot41Eg4cbCrFOObHzAyIO3Np2zmgIymMqrmdZ5wgWiOKMA%2BV8kKigbnyOAnZzQK1uMozbw7SBWI%2BtpCLJTN4yFsnUOPsR6JqbOmnG2mYUYJV0I%2FFDRgDb2YBKeBAzYRv4d82IRIjKNJ6kthxBIf4f6tg5Rewqogb%2BBL89Xa%2B8Y7mPwJBnr%2BqyHL3Me2KqwE3nnFG4NiIrI%2BvziW0DG1jcQIHeE7iAwtWHXwFYTmEfOmdkgt4Pr1n2vJwnSQymN0R0NLRTgAHjDVSIfITmkvlvfz7MU64jgUChw5hCXsYgG5gXyQ1osKsxCRhvPgsghFG5zI1CXCBIAwKkjyKLeqBc%2BfEUFiCvfGOta3gR%2FU26my2RNT0gywIO1yxoMTM8Mlfo35lpDQ4jfU18jrE6QiUumMhcIndvm8iDoRH8amzyNFXNUKcSoCnh5AQYr61lElsUE1avUS%2FnDanpv%2FZFa3VH2JIq5OrC2wDxYOhlkZf5BIr5I2JAQY6MewSa45Ob%2Fz%2BEjpgzBQTlG3AdVyHpu2GkjfOxGCSQ%2F4KBsYV%2B4WC4tHrRIEC3vi8DWBGimk2R3cQNWDhpiR%2F9KQZE618tdreVPJR485XjWwoxbnLTn6IZ4EjKrhRraDtVPs4zmDldmpWjWM5L49vWKkkh21cJ0GELX5Hje5CUKJRNkIrvqKWk7bw8b7gYD5fEhk7VgXTHJI0UsIqSimKH3B62CsLrQWXjB%2BoWwKWamDL6RlAYnwhMdNFIyfJuJIyo2hI%2BRLmmREVRHaJdaBYDQo4bDl91nK3Zy7hcqlXpT%2F%2Fg9jl5m4DVYTnaJOAoq7zjeA2QzPBWRnDjFKG0AJybS5gxwd7oVkVIAgAqWCrwA2TuCFHn%2BlQSxm2EjeZemixAGSIByWTtmzQII9iyI6QxlnEfiedIUpRSDRKzAojtJx830mEfqcSqHRLRGSUmpIkhYAfBXhL3h5wRAsiPnzp5CmVoG70nYHSlNBsQEOYNSYjVHmDMCMyyhMYHx%2BhksBoo78rYc0vB6ClzXpCsSQL0xuJj0lRG0q3NgS%2FgqHn0%2FdBeijOqfmwAAwNmamjdRSr62goEAhLCK0y0mqVtUz8B3F3pE3rUMN9wQoCtpvRAK3sFTK3tcPZnt6Z27rdUEcCb1qxd8b7ARVibBsC%2BRyonUCCcPwOsBKtzEuPpnx3V%2BQo3FTRLkQsTzT%2Ft5GIpAhUffp2BuiRh%2FhQEK3waIhUoJczWFQtyb9PP5ODdKmoRpQHa5EoivjH117VzUEyb9h3I8XFhYGY2GgobkujLXrm%2BbJ7HN7wo3WOTojHaQLy5ZQH60wuIar4h1s2FLyTWktIBtEtP6PSDSPebTewSizvHczvHVzmh8LyM8TZbIzBlYhsTDRW2MtA4tMbKoUyaOwZNB0EcTEoAHayrWzlDMhazQx8GCH8%2BXZI4EskKhE1hnN1De89ZjtBMDWCxLN%2B4bn5AnyOhxpTflbO1kA%2F0EGhUliSyMtWT0UMb%2BqEPinhEFYyHEbAUyp8tYuqYDRipLscjyGJA3zbmKdMTMI8V72v2ZQ8R1C6WY4qjndJBCREkDNEWaBovAOsU5JvqCCECn5%2Fq30Wfs27Q1NX3PB1CxWQYK4rW6gl2DEhCJLvzF%2BBEKd6LLjbQMVuJRpueMSQJN40n5WAdyXvuYQeXUQsoQDysgsemARNTywlJKFiZeuo5AiRfoTmTq6hkwijNVgqADIQ0SrFqBN9hK5RC2ZzmikwVm0CCZzso1HPlzzN0IP%2BQCIQZ%2FzA%2FJ0cIiWLfbbDGvgdRmzRiOWxhWyl0iXpQfpiIVEQuNo2d7rj0OZeiVOeay6x5oKlhwZCcg8KUij44xrtH4IX6UM37YQMPXh6QvlpkcPG94IVYA3iwMJ0L8LuuaogTlCTJsenAjL0PQ7L1Pi8hmGJdOqOJeVo7ECLPOdRHN4hjBEITrTPlmX622a1Nkllc%2BXvRIMYsWFbQasKlkKf0TuoImAklJXaN12zLmMOiREi6fUAhVGrkOVhqjWR2eenOmgUY7GLcmbnAqWpftrThQTmBEC5zJQBDcPyN4AoXnInBM2UJew3uo3Osd%2FVotG4JFRB1dhhN21R2ig74o0Jw8ZN7VnA0lWB0lDFZ5PDtyXLlhvcGuF0S6Wr3U2CqpnkDjwB2mBQdPGRuL5x1IFo03LEOsHEh4MKRvE9edrMh0Snaf0cShzOIJdiyBYWbPeMzTRGYsBHAfX1laNIl1ZVxzggRI5m51PG59wVXQ7HQGRYRRnGy89qI5okgmTpsdUtZgAxPvJ%2BWcqIbSWx6tf5yN%2BuJkKOjROUqEcP4y6WDOTFIXxQkr7hHBS7hmbyT8AljD77OJLW4CQGYAb2Pei8bNTgMttEECV0uBXZksyIJd39JlDyojumSt0T2TM5i3S2cviYGBEzQtmTKzAFB8QEcXkZq4YmJ%2FTDWdYLS0Kazft%2Ba%2BC7HwNZAJaVEY3kfqPHY2SBxchsqiGqJLn5a%2FmjEa8QgmABHka5AWJ%2BG18I9w3WjonkFGEwKhtgp0j8YPUeYEncSOLNhhwVJnEiplRLfp6lN7z5sAMYVx%2BA71pVUbhIzIaaNzUbAarADBLMSSoXqKXumbEiOijClhzIbSA5gGB2qtutd0MjQyWBaAzJmfqki7MMaEQAOCXbwaXixbEGNFnHCqmWg8qjxIZ0oeAxEPKD1A7yRyuS4AIRwOrQJ6DxVHVPpAc7aCkBHpHC9GMxBqe9Qt62zjQGJy9sjB5efNIj3%2Fyv2r6z%2BSM%2FzuFE0Za9wOJ37u2rcQy7P6SvWZqCuEJKtvjAUTarXAcyMQRrVOlrD0HTsN2KDiUivtwmgj5U9inAK5%2BC4IqL6iNHhU7OH98NmQILOWxNwJiPwwlnf1QAEMLagJuGLoYUdlqBRDn8QcRAg9AuLhe4myJn%2FEoxUfepXHhZ8Dk0BKaH6znSNmNJJ2IRdEvxoTfFkKRNn0cEvSio6ek7OG7AZljFvqNgRejEgmOwp7toPkAA5CIjKCsWmYPIlxUdVDDj%2F6UQEQZwMPCocey9jKiCj3ryLWjtGlYDdewTAsT%2FytgOZKoG6jDf%2FUzE%2BDBwpk%2FPx891KJ7wcBDtmnc4Zr8PjCwfnWIE7Tz5Wh4XZOloMKHqBYibF9JCb589kpcmC6MqgAH60Nwcj%2BnBhrvYWI7IfIiYD0IThyXLu%2BBjtuDKdFNmVqTy8ELHUIcco0LUngtn%2BupQtGnWSsHRGOZxzUOEULCoCKWugvY7ZqEN0MDmNHqeKtmwQSOPoR%2FZ0KGKGB2wdDYj1CrZsodEQx2TukU2%2FMDvJyPuRgDSC80jH6IO5DbRYrS0rIXfANDM017avY1V29khrSTX8G%2FWm5HQ3j02j1MGoCeHm%2B25tIebrUOsJUhfKhD0EIEeXj3%2B%2BQ43UQYWPGKRd5tI6RgOxzkuNv3Ji8YcsIU0cpJNn1rQt1eBb5t%2Fe6vSIMsxyrbVRxAHaSs8%2Fijk5AW1W3ajQf6DP51FkKbjEEaQp7ThQOL8pUajXNZgjP%2BAGWp2PntYtYtaMRzL3lOTlAMAU2jKG8l3wMD%2BbxPb8RDFLiiPnwnwm42DzJDXbmbGIZ0jLkON0Ub4bgHg3f5pBR%2FoVAu0YDFztE%2Bzps%2BP3bAAWSgSxlY2S3LazAF0KZAmzACvKJ%2FMz0beXxl%2BeIEFgZCLRMTD0eI7mFnojAK95ZgCTCfQOybhXCo6576fGouBIpcPFCU9ALkeU0pQaG70p3LmSrRNvUUN3vI9R8lCXjgQBKD9twFivCVAT47aBVWQPv7zSwNj8Un%2FSFG3FqLOS5c%2BWZHKZKVGCPSmIgHEwoN5C6HgtxiaB5%2BUvBrgQmTbO5rMJ%2BCuldZzfzxgdXp9XgD508hFWCeR8zw0tDDW2xoicZACrgqgnQ48NRFvjGjGQLa0bZ%2FYIPRHYC9plKdMERvlMGhAQeqDBMhf6LZGmyElMCwEIYOo1BZ6PH7%2BWHUp1YWZa7wqK1XoOCvECZSwoJH1Mkaogtg1cnvzmDI1q5S6K8zNTnhUkglWVoNqdHdJkfg0Fxp37eM%2FnNEjkRlbYvQhIWSCHT%2FqEBqUlbxYgGY%2BMSFSRxt4bg1PVnRhKNZIXooJOn0HVNY%2FcfiwOh4kjntxHmybS7MJkM71QCMhZGbYSMrJ68qAj1YN82a3v5utE6PJoWbuOva8RkRMPNZOJG3h4NcQ9LTUNP7WRG34U%2B6pZFDjhFpbJyEq7ddJp5LrxHhOcWeKH5m0I1Q2anhxKm%2BO1yIfm7BGh7B%2FjqYiPKEBJ6cFrT2ZB6TmSyLIpnTVkU%2FYqVla2WfZcp7SSoTzv6vLYtG8AgtXlxfWZxN6Gzmta1EwxIU6yE9s0x%2FZlSkSYE8X5a7%2FVPKA%2Flig684F00nmacRk4WooPYSFBnHTa1ebr6zgD%2BMcOV4BeWlJJLrL0qnYZSAVtBA5UxpOASkxyTpYRBUMiUqxjxU%2Bce5iSPwywJQRsno2JDcLSzoQnpUALmNJE%2BWSFPdsteXHMocr%2FC0IqI26humQ1wKQoHcGmUNYBVwIFZqI1azUTzdFmIOugxHeiO7FGrlsIVmnE3L1JrCuYeQCJCpQc%2F0JCGgQIe79NvrOoYeDQJ2REZcyhK7ihxb2NeHkVj0aI0LIicFJjQk21YaBO4G64TBu2IKBTzYheH2CASyWnlbZNFDbFlJqA1Q4kIljGpwnmhmXbOSQEgWsMmsHkBZYKRUWBv9HZZ1N1JSN64WPlCBOt7zqAJMKpczyNBpzQk5o%2F%2FxDjQg86ozQyN4waltVoDaLJOfWjYqewlULt9QO8N4AqlP%2Fo1ZIqJMaZ%2FORyILlDFoGoeY2%2FswI7MBMVXSMJXCUeRsJjHIU6kNEsAqZoBDoHo8Y8pZtM%2BGL8OLfcPdBbsbvRZuDQcyyrZ42OoTsMJ2GH21od%2FRCfgHrkeCyZfMOkWTSYgXtqYxGIGLcI5gKg%2FZR2xnb1upteR3rcNGITv8oKHpUWdLK9kIZlFfEtPUNAgnOY66o0dWYJq2a0UT3usCxxDZm0UIViE7Q13vLoyXH6VgLZoJt476o2dZ1DSsnihertfmTnTdREBRHm5ASIGxMbMSITKCmV5fMqgFiewxFtxqh5yfCPkmlKNcrJfmvyKlbaqps0Oa%2FBSPXk4FJjtWF2wOHfpFY63qA49US3T180HXmbqEjYsSpRFkkOVMCBH1C9JAJTRgjCWNAjl2MSA%2BvZjADldAJGTIoWBOcOEUI4qwvBSI4hMj8m7WHoFosA0M4Q4yS8XtN%2B5emVGJDGqX8D5SVbE%2F0bWETJRyRFYKQ8umFTkY2ZnV9Lz%2BVW9hgHq%2BHYhsrghzcANy%2B02yEIiJuDFngZnEHSFnTnqDAicaKOgtLZkRXBqGS3bgcqBK6B%2BmV5G4%2BxzA1IlYTTtL30wAPCkFZuhlgsViFEnA5Rg4UXmBbXBAW7JuNvZlXTVsYDMV305DdUPX6QyUFMwndSexwLkpBDsIQ4lUnD9QoEF8QmpcQk8FJckIIkVwvETqBSrIvHRim18B7iqFwNCcFoUKmSj9cSfX37WL%2BCT4mAKH%2BS76AYlpBE3eYErTSL68qrzEKiOZo1mbN1ujQapDrmTWb1s3iBTeQMCYcYfVeS5ks0rTlCPWr9AjV%2FbgZ8To6s7qOr3%2BkRUCKT5GAAUzFlHOkmV3fJEImmhCZ4S5ivYOcC3SUx70Is%2BgfKTQfQBsES9NEX4x0WTcQkWV5JKEJNl0UV8pDmBNnC%2F4qRYIkjLTUknCCTbfLBLJzy4rnSGTntJHjdpYIWlqzxK%2BG%2BRBy22IJ8gMQIibkjgh8Y9Q2H5aenHLwEJg2iDmhQybR8G3gfKxBAZwppQkDi9rFMfLSe8Fgalu2z9mKNwe%2BF24HWYNjNI3zoQfXsIck6YiAwCMhAsEDMvxfp9PxAAxF94h42eFp8V8BZxS3g%2FoQhPG05yIyOc5GxA27VgPq%2FN9uxGcdZCP9PAWYlmmiIlMHE%2FRj3IzE8YKgGEh8OmOkN4KuO6GYyNnRhoWNSgmY9%2BVfMfhBm7xIwZPp7ggg%3D%3D%29%20format%28%27embedded%2Dopentype%27%29%2Curl%28data%3Aapplication%2Fx%2Dfont%2Dwoff%3Bbase64%2Cd09GRgABAAAAAFsYABEAAAAAoUAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAABGRlRNAAABgAAAABwAAAAcalXC8EdERUYAAAGcAAAAHgAAACABCAAET1MvMgAAAbwAAABDAAAAYGenS4RjbWFwAAACAAAAARsAAAJySvAJmmN2dCAAAAMcAAAACAAAAAgAKAOHZnBnbQAAAyQAAAGxAAACZVO0L6dnYXNwAAAE2AAAAAgAAAAIAAAAEGdseWYAAATgAABODAAAiTweHjMhaGVhZAAAUuwAAAA0AAAANgJiWP5oaGVhAABTIAAAABwAAAAkCjIED2htdHgAAFM8AAABFAAAAvTBwRGObG9jYQAAVFAAAAGrAAABuDSPVk5tYXhwAABV%2FAAAACAAAAAgAgQBoG5hbWUAAFYcAAABggAAA3zUr5ntcG9zdAAAV6AAAANAAAAIhLlGpmlwcmVwAABa4AAAAC4AAAAusPIrFHdlYmYAAFsQAAAABgAAAAZYr1LmAAAAAQAAAADMPaLPAAAAAM8MFvIAAAAAzwwJLnjaY2BkYGDgA2IJBhBgYmAEwltAzALmMQAADagBDQAAeNpjYGZpZJzAwMrAwszDdIGBgSEKQjMuYTBi2gHkA6Wwg1DvcD8GBwbeRwzMB%2F4LANVJMNQAhRmRlCgwMAIAC2EJ1gB42s2RP0vDYBDG723aSIrSUESsiHcIWqqDXbvFRe0gBJw6tTgUCx2Kk926dusixc0P4OiXaQZzjx2cnNRFhPiagENdHBx84P693P0O7iUihzLbJGM9mb6tTFrnTWhjSAEVyLfZCgnt060U5UDacrdd3vnYNVWvWlJHPa1oTRva1JZ2tKdDHesUHiqooYEjNNFCD0OMcY2bR0qSr10pcc8S6QfRaEF9Fa1roKElnutARzqBgQ9BHQFOEKKDAUaYYJoSTfKWzJMo6epSPI%2Fv44sHJ9qI1malWVEqsi5lWRZXiN%2F5lV%2F4mZ8YfMWX3Ocud7jNLT7jUz7mQw62ouwafyvj0jfW5KzLLTZkX5EpX6B%2FLXfxYfU3U5%2BPg2iWAAAAAI8AKAL4eNpdUbtOW0EQ3Q0PA4HE2CA52hSzmZDGe6EFCcTVjWJkO4XlCGk3cpGLcQEfQIFEDdqvGaChpEibBiEXSHxCPiESM2uIojQ7O7NzzpkzS8qRqnfpa89T5ySQwt0GzTb9Tki1swD3pOvrjYy0gwdabGb0ynX7%2FgsGm9GUO2oA5T1vKQ8ZTTuBWrSn%2FtH8Cob7%2FB%2FzOxi0NNP01DoJ6SEE5ptxS4PvGc26yw%2F6gtXhYjAwpJim4i4%2FplL%2BtzTnasuwtZHRvIMzEfnJNEBTa20Emv7UIdXzcRRLkMumsTaYmLL%2BJBPBhcl0VVO1zPjawV2ys%2BhggyrNgQfYw1Z5DB4ODyYU0rckyiwNEfZiq8QIEZMcCjnl3Mn%2BpED5SBLGvElKO%2BOGtQbGkdfAoDZPs%2F88m01tbx3C%2BFkcwXe%2FGUs6%2BMiG2hgRYjtiKYAJREJGVfmGGs%2B9LAbkUvvPQJSA5fGPf50ItO7YRDyXtXUOMVYIen7b3PLLirtWuc6LQndvqmqo0inN%2B17OvscDnh4Lw0FjwZvP%2B%2F5Kgfo8LK40aA4EQ3o3ev%2BiteqIq7wXPrIn07%2BxWgAAAAABAAH%2F%2FwAPeNq9vQlgG%2BWVADzfzEijWxpJo5FkS7IkS%2FIpxZJlxfGR4Nx3yM2dgIBCOMIVrhAghXK0CYZCKA0tKSyQco6UUNpu2G3pwoq26hnSQrcsvVhajm0hu90m8fC%2F981Ilu0Eyu7%2F%2F3EkzSXNe%2B973%2FvePQzLtDEM%2BQzXwnCMwKRLhMkMlgWefS9bMhr%2BbbDMsbDJlDg8bMDDZcHIHRssEzyeE6NiIifG28gs9e0%2F%2F5lrOfZmG%2FsThjBFpsgv4ZcwMtPKKExGsecUUlWsWaL4M4rnkGLIKu6qImRLAdLJTOvx5KOpgizmxIIsRKWoLKTEuCikCkXCPb%2Fj%2BQq8CKeO1TYPTzqgjtHLAA0G%2FtH7WplFTNnCMJ14c4He3JAtE8bSuW8W4cydRLFlFMshhc0q5qrCZ8tmC54yC%2BbOssWMmxbG3FmyU%2BgCJCrW%2Fsgo6SKj6mb14PiWupmMUpwN%2FBf4Z5gCs4VRshmlrVpuy%2BJPtaXNFI4ohSOSVQwZpTmnGKtKMKtIGcVaLUtWvFByIWTTM0qBQharlkKRLHy6St2kU3FllXRVcWZL%2FaSzFCuIbkXoV7rFsrUl29%2Ffj1Qs5HoL8UKur9CXy8o%2BOd6bZuMxBytEhahRgrcwn8sOs%2FmcUTDGY6k0SRWLlxleL96WWHzV%2Fg82Dxqfyy1ZFPb3z5npIdcX1YNGsgvezdP6Z%2Bek0KIluWciGzc9Xr26dcRGDhcz%2BeLjp%2B544fwLC%2BunBbxdpw4X033FRVeOdDqD09bln7rwqq%2Bmn7yGwTGpkFF%2BCXsA%2BMtNeYGrEoXPlAzayANRK9wtx7YiORlGH8Pavx7Y%2F%2BgD0sW%2FyJ%2FESEyEUbiM4qjCmBHFlynJ8BMlMye6S1axv39aD%2Bf15aLZvt5kPCakSTxmlLyygzguW86%2Bf80TT1yT7up67pIv%2FZIdWUPeX3H50x885dh49S8eCNgcm5Bt4FXkFeAdHuaBhbEzTJ7IBZIQzQYY9QpgcXQF6VIPsuvZ9TD6XUU8qG6u0L3DY4%2Byp6k20jW2F36H%2B%2BjDjz7kX%2BBfYFjGyLgYRkgAexN4Ffp6MyQZE%2Bxk6b%2Bfeog979DaQ%2BfY7Q84W532zf9%2BsnbgdHvK8YDdXqMFwKQwZibHlI3Iz0JV4WAaWTKK6RCQssyZkHM4AzCuicNNkxEY10qJK0aJCNMpHxV5BYE79iaQUhl7fez1YpFN4u87GBPMl2eZFoZJhklhmOTFhJgUHETW93qTgsFBJDhm5FtvX34SID9r0fJ1bvfty%2BetcljGXBYH7H%2F%2BkvagtKGDPXP32F9dcvDyvkJ7QD65wF1msXLf5TyWseWiP8AANeSP3uX%2FhX%2BA8TBNzClM2YEYuTOKXFWaNMZozijkkCJVFcmFskExwBwAdg9Ionsfx7rcrXK%2FYhCB85mS2wFTwNyvyKLi6lea3PsIIxjg%2FLQetwsQkrwC8XmdxBhLEWB31uVr6XMlW2TSDKzWvIx0CcLFJq9JPXj1zspnXyTu735XfZ%2B8h%2BfU31d2Xq0ehJMXCwLpWsZepP75xe%2FCFRp%2FFpn1%2FLP8HCYAHEmUYEZhDiFPOqqlJo2le4fZMJHhjZW8Dk5I88Xpp1599bVd066%2F5qr1fbOvvWXv8PDjt1w7m3PN2rKqm184Z%2B4CvnvVlln91950Y3nNmvKNN10LtProm8x8%2Fj4YewtjA5aKenKeKPGYiYcrLCD%2Ffg97D%2Fmluv1u9SZ1%2Bz33slwLFUV%2FUmcSj%2Foe%2BWf4pHzY%2BBs%2Bxs8odhC%2FVAzxwERypuSnIE%2F4dY8sFORUIZ4Spt5n9r8s%2FM73Fn33naXLjnNH9sqdv%2F3Cjj984ec%2Fn8C7HpjHeZKPJYdIb1%2FWFyJeY1wiEhlNzFT%2BR5mZIKN3EVK8L1fZqihbK7n7iupHdzE4%2F%2Bj3l9B1yco44Xdk4JoIE2dSTCeTgRmhMGUGOYivlvwtICiFjBLLKaaq0ppVrBklmVNsVaUtqzgzSkdOcVWVrqziySjpnOKtKtOyiH84m0NyEKWXjiNf3WeyubytclbhXSii9pntooS7%2FqrSDO8aV4aySkt1X2tb1zQ81eIqReHKRHt3D%2B5y1VIeBZPNCoIp2NTfrzjFUnMIBVQPXS%2Fz8fykF0pBmKVRcpxzvHJ0f7H%2BD8TN2F76OjB%2BkF%2FSeAnKUhBOx7bWjzC6fNPWRifQMMPMZEaYsh2p15UDtJFkoYwySEnTC7wxi9LDRddHP7y7Si2AOBCtvapMz5ZOonwD8qEPJK5PEmFMo7FkgEzcJ59wPgRcIIVCkroZ38e32fUnOpNtOMxe3LAz9sKJzjAgPSfjvpw5i7mUuZG5C9ZqSoXS4EU5pEOpt5hFSpSWbM0hLUpzroT97kzp9C%2FAfmu1tPqWLFBnFKlTciHTmYH52rKUQtNAUs1aAdv91dKC9fjpKm2AY5tvgu0LqqVrbs9mS3dTyuFcGCDabOgksaSY%2F%2Fh9kv%2F%2F9vqQVEGCneCNjP7fzmfre%2BTR420e%2B6%2F%2F6wWwztbkReMYr9V5fJDyeC%2Bd%2FktySnNVmYOjqpyOY6qshhHdMGFE5ROMaGnj8UfP64PdPjichF2jNPk8jgbyPZV9UY36H7f%2FydRmD%2BDO2Bx8P%2F52I83Hv%2F0pKIoyPMTE%2BA%2F4DsbAMLA4pEgqRB7hsgfHvvYj8rJ6OtcLWz%2FG6y5kLuTn8fNATuN1BTORzUQwkwtJUH3rIAmS4EH1LfoGH8MT9w%2FiNbBWTdANUszzE7QDUAviOSVUVaLZcnMI1ZzmJGg8oWbcDEVAv9b1h7YG%2FSEJAiucVRJVpSVbTiTx0kQcvpVM4GayGb6VqGsZ7TDSSdAyyqwPRHa%2FkhAVd78SAK1DdgUbtA7ZDVqHq78UAu1jH2OQ%2FHiuSSx7A6S%2F%2FxN0Dw7keU7KSXEpnv9YPWResQKi%2FhO0EfUUvAile412X6a0izBnHE%2BzapmqWUV1zeo51KyaQx%2BjWz2HulVz%2BBO1Kw6WsY%2FHDLUG8r6O2I5r1VcFH1xlqiH2InG9CIhRXZGR%2BQdAf2iC1X4ug4ajBdDoouuSUC0L1JgTwJhTBFfJBhh5qmWbBw%2FawI5Ck6lkE2CQZH9zHACnmpm7IIE26wVg873JVN7nBg2NjaVZok1g1HfpBJZ%2F9vj5W4%2BQs49sPf%2Fxn522%2B9V3X919Gvl1SCri7CjiAvU8aRt%2BrFC5pnTkSOmaSuGxYfWXz2%2BBq%2BBiYhtfs2DdLTIE5FKprsdMY8o8rjgmWy5HFFdG4REfRMIESFjBTNbQcVZLIpU2BbCwCRjHtb8iGCNdFRj6CkGDhBxWbWh5g6KwAukWZJr4XfwuZj5zMnM2g0ywoqoszih9QL2VlHoLqsoCV2kp3AMWtFVApwUM2lBDwPZLxX1OKdePrNDqLgUyYFiWVgDLlwRQYJTF4j4umpqLZ%2Fvcpc6TkOE93gjrixDBJxdkH2zmsjPZvplE7iukCn2wme%2FNsMkMKSRTQioJm%2FGYkzU6ScooyIIRNg2oFEpeYywZNN7POvzciu7BWw3dPYZkW6wpkzSmM4bPTZ%2B2gvM7yZcMhi8Rl8yt6Br8nKF7mlG7wpDtMtw6kF7BBezs%2FUZy%2FrbyNvjPnhJtTxp7ugyfG0ifzAXhlMFwP2sPcid3DX3O0NWDX27uThpzHYbPzciczAUc2s87AtzJmRmfM2TSxuS0wPpt29afsm0byEKBKX70Ea8YvKD3j2ugBeYOphzFudYK1v603iwsFalMuSPblwN1oakKKiYqFY4uOJ7JULsVzPvgIVx1Wl2lBM7DrNKGmmk50UYlFAMM3eZCeaRMAy3VVeqBre6s0ltV7Nlybw9e1OuBi3pdqGeCUESHAHWi4CJSX0kalhMPqJ3aFrKSB16obnr07aLTQjwD7aSrfYB4LE6H9ehbVkeRu2WgfWxO%2B0CRyhjkM03a8CRrcRbbBwba4XtZq8Nx7BJkvvbBwXb2wNgc9gBYxkf3a5uavQR%2FBon%2FNdggXUzZTPV14HvQz82HUFc3UT0bqQRMXzKYQPAQOlnNJF5zurCj7C0V9SD%2Bsaewt4xtHduLcoRdj%2FyOAvBtkBMORmRiTBmMpU6CXA%2FSzlgtGwkSzGgCieDRZhPVSesUISIpOqzkV2TUYT32jNXBriddAX6b1aHaxs4A9Dg34o4ylmd4%2Fin%2BKZjDHuCB7Qza4M6q4kUhW5a9eBtZgnHx4JBTwxAgsMOouUpeQHD8ogBcJLtwcsO8R6Ox5LWDnLJwDg%2FMrJIow46Zd6Kty5S8TtgTGLsLT3nwlJGINl0Qu1tbeLeL5Vta3boA9qCEkPg9xE3mEPeePer76gH1fd%2BHZO2HH6pPzAeR8Y3GE3v2sGepT3yIp8dUIOlBaiuwHz3IMAYv0BTlVVq3soQcYgwWlTNDHQ9O6nggZmRhlGO6tIqTHAd%2FJMrFOU%2BOixfJsz%2BVHvb%2BhDw79lb7B209bzY9wSvoQDm6gq4FhzW%2FD6vr6No9FzFlK95TuxuYICQ7LirLvIC35hlN9NuBjhYqK0sCD5KKNYOksosgX6lXDL0g6KcEiKjtRf6kvoHyU30Dtn7z7LPUjwciFP14lSKMM%2FAr2PfPAhQyE2bO0TVID53LBhjYCB1YsaqI2kIKymSzqyTBFiiOLbikiqJ7v513y1Q3aBaVcL8iuffbDB5fiI6p7IE1l5jMTFBfUXuH2WyYpUsRqY0kR4U9R87a88bhN%2FacpX2c%2FgFZ%2FcEH6lMrdlV2HSENJ%2BCDZdWnPsDzKp2uwLQTeTbIbKzxrM6iTQ0sipiAjeuv82UzYgJ8uR%2F50ouY%2BEVF6lfgCDKnj2LicSImRoGhetDxWZJrgokcF0%2FEk8uPHNl1Yq5Uz9ZwoUzC1n0KiE%2B7Lk2AR1xUsWcBJW8GRwKMbzOocjxxUJ0sL3qiTTVZmJOjhRwXrXAt%2F0pA1m23OiqVLOnKVjaOPRwgv0LJpSZg4pO3YJk9PIGGEuNn5jXMe6RhgNIQYLDVKRcEyok2IAxvtnA%2Bf30aU0L55CmE8uj6SAvMbMOJyPQhmUHaJ5OJ7IcRf%2BpJOH8nubsCnFvTmZqZVQy6mWFsxYwSADhDFE6A2%2BkqWTReDQOcFoTLwHu8cgCH2CyWJB%2Bu%2BSKOPGHMXgkPB0SFAu0Ns%2BhAjnuNLUkXOpmFqCjAiu4gsq4k7TqifhU0otsvuYeM3v2Vl0EjYn%2F0rqYWbQFVCTSqk%2FHMdaftZjQdj6Hwupgocx1TFnE8YX75qmVfBOe4Lwhz3I7zrmw34AE7gy7ymOacgIHXGDdYLcUBGReqMaK7HwF%2BXjBYLaCbRBH%2BoLtkNiFavggsL1EqHsx4nQGd6JrLDrApiNFCEt3GnBgVQJHpy%2BdgTsZjKcRuy8tfuVvd%2FMXNt5WOLCSj9HOXdphdj4rfdXh2xZESLk34SY8xsOoVdZ49nh9rBaOYMoo%2FhyIumMWgRHMOBy2URWnXkkMxE80ir7XmUHdPZKmJYzpUtrm8qGxYq2WH2wdbqDCAtMOVDZf7BBgaqYaXBxb8IRKVEnntpfmMuFuOvVlzEqEMHH%2Bh1wnd8tryr%2F0f21us7zbIa9SHQF7LOHYtmo7TCiN2CEalbAjioBlQUgdduNQpDgC4CQ86QIdBBYgpteCqxjsMQToz0Kc0MG4w5xq8SaDcaOo5KB9bVpKulVuoInJsK2guIMWp3Vpk17cPVFZu2bKyAgrMXjjP%2FmEX1cR1XYH6gTiYy7K2rmEkAbmJq9J4ApAQ5K5nmITZYVIQHSTNGQVAe%2FC2a7ZefmGxve36W0Zvu%2FJUL9KPjA5Os0ebDMtPJodPnmtpa7PMPRnJwuly6n7g6h7mJOZ8ppxB6gznlGRV6aPjHAIyjei2DK5iMaBNZ1XpdJWysDVQVQZcJRdVG0qzgbWznUAjmzXUTKVJMgOzU3B5vBxytw3WOifKObFuxQyTljCRxvfTbMzBSh5Rc0sgQdEtkZi077CCQrfj98T4%2Bx1085xH3nj7jUfOqdhMe0w2%2BsauH98mHpCSVtJ1408vv%2FynN6oHtb0r4QvwvSvHXiU%2FxAvVXnxv2NbleIVfz73NGEBnY8SoQTRESQHjIzJYBSkwczWpzyo7dsyv%2FSejILMr6pMNh2q%2FxW2mv%2BVk3AxVExyHUL6JehAEfz1RABtDSIGYrf%2F2gbmXXjh7rfar%2Ffnbnv36rX2X3HlPbfy%2BzZ%2FN%2FZX%2BZogZpHEr9BKH9d9G35BHEzwRGB0PrDb7XD5ZW94Jgwqcw6Pxc4BEE2KC1O8PVpIEhrNcQMuIaNCQeygsZwrXXy2cbNw5aiR3A1zH3qyQVwCwJ24tXHLn3VXT%2Fd99YZdpxFT%2B3VtlU90%2FroBUEYGbAwBnlNokM5nZYPstZpYTonF4adocMEbc1XJ7z1yUGcFMOdW5RDNQyonupXgslimxRjgSB4U8C2iWHAtgL1ot9S5Ef%2BcKNFpKhjD6RqslDqOSIc07ZkfTJldV8vDuKqWtnUoHdbnMypbT1M%2BSjpk7y8TqxLskXKUCfGfOAtgeqJaSi%2FDTVVoClBzJKsur5f6heSjLToaLpoVgZfJK%2FkDvTFR9CwlY0Nvap2OosxRrAgp7vNOpnRoXy%2FyMAfTZhN2zzAZfoK8wODRrNiV%2BT1SM59HdkstH0ZmuCUcCLw6EIofqYB5UQ%2BqRwYu0oyAAorirXc2BuCQoQuFFDqPdTUaLRdVGtSw0xFF4dmkWueajh%2B3K2F78wEuobNVlbBcIDYwhHsB3lKfsAfwlelGxAltF7m1kzgqK4814EQpo7hYQvnM0P765Pu5T15PNmvVT5r3NOLr2akkKZbP0GNVcW2nQUPMwoGyxZVGtRX0QTBQryhq0S%2FywBZZrk%2Bbxj1dRSJdcGMwQjP39pSaQ1jScgf5%2FNCGBPCmgmIwrDXxK8JnXP3Gfol2pryKVCvf20RWwxb19zF857bTjfk7Q9QRN1xN0jxZPtTxUZmCKU13PLQBrMEYr1fVED64cZsJ4ZV%2B20NebSsYEAhbu6%2BwBsOh%2BGQqvCofwDYbgVxYn6Ho27nerQ%2BFwCN%2Fo3Cdg%2B%2Fxav28A5Ld2Zzmn3VzxZmu2nVmL%2BNH774f7%2BwKU55rIVAgSOfSeElA4dUB%2Bod0Q3lhrEY9kyYsIktUxCSQF9%2BFkLfao0cQCs1y3yjS910qXEktVsUwwpy0MejQFE501Au4Q3kDplBMLoLuBnhMVi89yXymOuYvs%2Bzx59pgfWLBIhwBj93S9LMH9GMBA7E3COmyUKuRF8mJIOvamFCIH1Ln8Nm847G1Y91A%2Fl0G7OYUpJxBGsJAs1Ga0cLXUCkXIljnLBAuyjaIA3MlmkUFNmm9E0FyzJiuuf85UTPPkAYOhGg%2BTOyp5YItLE4RM4ArDBPWGCPFRlaEC6gCw3LE3823siuEzWZdFHba42JEk67GQwxYPm2StlrG9FhwDmLNzKhX2ta1byam4lh29%2BUsWh8OCbxPyA0JMgukGvriUZiOAqGvPKN2gpmVgMhFM%2FAAsItVyhPonIxnALuIqpejyXsoBKhEYBiXQX%2BpMAUrR1kQLXTS622EvEoujRahExVK6BwSax73fGghmpmmKkZbdoPko0zws2A7WSbMcGHSheY0x1uvD7IcYKn8D7dzbqBzt4p25wqqOSvvKGWmrbRdoSsXRyuhoxTi8fnh4PQHq4FWoNJma5uY7YUfyDrSDKQzXjJIWvGj4TKrv5enYPgs2cQxeGvfZc0q4WmZtKN2JEs%2BUWnUtNA%2BW7EwSlWEYpGg%2BmUoTWOviYAA5iJMQj%2BzJk4vbh1s9p5PbVro68%2BRrsTZ32GhUbzxDvczfbOtwOsmmcvrKEV9f15%2Fe6F43MkI6PGmHnXvrmHtaky0oCORfyStfUL8HPIf%2Bn%2B8Bz7WAlOhhzmXKLQhZtKp9Ejo%2BHVWlJ6NZusBhdJT4Q3ANLlZRWLYwvQa065ZDIjArHaVEGkbJBwPTHoWN5n6lQ4RdpQed%2F4BgniZHpLlU3oDeSxyJMA%2BfJJ5CuwGHKK9txEFHZc2%2B1gj5xTXflqMxqw0I3du55bHlla%2BdctMNZz70%2BSUX7d19ipBr4waa5ZDdKcwnyhcKZxTaTAJny520Zd7qu5dWNq4%2B9ebi9UtXbqzPS%2B5Sqnu36CNBaJgWxIADo94oovR0BAS14OnDIUjlo7KDcxLO6JOlytIrTE9b2uYbzQbydTY6IxYwGG6yTJvfL8zOcCdPb%2FUQjvT3m%2BKphM127F97B439DPvRc7pfyAxzYBtTbtLstTJr8OGCYwOut1GudwHXW4AjklRQahouWp0wW0AHCFFfQ9lPAzn%2BIAZy%2FDSQ0wRf82trk7OKc6ZkAdlaMlDbLdKkxSRsosLDEKRg9hfkuJgTPGIuCjswGp1ElIHdCiKYpJy0ePHiG26A15Fd7IFdWZeUjsYqRXVzsRKLZrwiqH2PP37szce5c3CZDaUkM3vsmWyxmOVWsmYpFaJrUPSjb%2FB3gfxDfO9gQO0CfNkqNVEb0bUA3E4NXcuhT49kCHSbfazJTFDRcfnRGgJRRsUCawL8GRDZSkQE2R2ksnsmASRlAWQfdwLUo49r2BU11L2ZcdTTkit3g0YZ7sd11Me2IOrsnTXU9XyBxngqowsgjHLSZeDT7ockfglaYkf34zvXgu%2B4hsD223TbTyOY62kEcy%2BoLris0IhL5WO3%2Fh5YxUn7nk84PxHW8e3KCcOtdXDI4fqmuvl4R48Db1L3MoJ%2B0Z3B4EAog4kYQxmlt4q5GHq%2BxRCZGCf25D%2FdfiMmxUayVxrHozJhELSQFwDPXlTfVN8%2B3tGPx0vDSMPuk%2FASP3W8%2FPijdaLtcaTIrE%2FYRJRMx80twPyRlTp%2BS2h%2BwRyaQ3M6zaFZTfMLLqL5BcUsYrw1hzGcK0FM3IQ6QtnVMi1Lsw3K%2FrbpaPXc%2FL%2FKDDle5sf%2FjZa1IOfHv6G%2FZcIc%2FsTtT0H1Y6OfZoSMH%2B3Wx8cImmqQ6WBmMItgZUSrPUmz3dJA9cUZNDQ185yuIBiOBylK42CfXrRNSPg495XHHkPzBmcOznOcOTDnu3BbPTg%2B%2F1VbDWoUBWAWohxWbfySo2%2F9vcIO%2FhmpjSI18ONswFdmyrOoP2txRpl1SJldpehO6yn8H3HD0LNHpulo5NPhx7UUo49XKn%2BvHD%2F6FjrV2OQNi4uLdR%2BRwr1NvTrdNHMRphhafx6qYoP15YW108zQfAymxNt15y%2B6XCammYHl0hVh3490dUXG3JEu7hYw1z3snXR%2FC7yTopa4yzXMcxkoe4o%2Bu2G5r4VyaR7FBN9zqIquED38gxkVoQBAJPYrkljyuKniApCVXR4JXRRNouLtn5o4N5MYUsQjRt26Jh908%2Bs9gYDn6F53sPhX0rGIJN495r9o2eZlyzZ3cYfdwaD7mA3e3%2FvGZx8kw%2Bqb5LD6Izy3DOh270cf8s38C4wXtPQhHYOQBnuEwq7lgKAz1qQFrJokIJ2dR1hDCKvA%2BKme4ekFayobJl6qtaf5VBJ5iZoYxnuv%2Fel11%2F%2Fk2oUL%2F7G%2F3xI754wrOme%2BeP%2BFm%2B6%2F%2F9Au9o9bf3Hztlf%2F%2B77L%2F3tkxBzbdOmexZ%2FfRc%2FcjzrVeHxNYhaOR9e8WnTN1xBd82hEldHDJuogYojCgJG9ktcDihJG0Y4bQ8uJsYmhs6VHFWVyxMysfvUItxZguorhuX83OBkf6HkMoM0VwkbU6oU0WwgTuZBmU8m%2BmcRBrppz8RVXhKWFy9ctnZlYtu3Lyy%2F%2F3k3bHKed5hJ8aYuTNZtPL5BdZ37za195acP8u7ZcfcVVn5t7ygPFAd545je3rbwoeLbRt6ht4Y7e3CW76vbyS%2FxnmGYmCmvlOqYcRGo4qxgVwAFL0QHToktIDV%2B11IbUsGEcOBRG01HxiaVIDAliwlCxFNJCHry4ryUWT%2BguSOA2XhYmKDoFSWO9RIGkzIBihrzzKLkk8m31FTQIyeH2gco7j6oHH32H7P8aefBydRP522WXSaejo%2F3Rd4ymb4ORaMMrb6j85tF33rkwSx68DK75n8suW9M8Hs%2B9D%2BZSM5NmFuiYwbSJZZRUVTFrs9mlGAHLDMXSXkWHIlOKuYAFpVArsGDJHIS5lOgv8Ub4TNantmwU4uO45GuokGEuQiQzkWIOAyBjYG9dc%2FdkZB4Pn3%2F%2BWeEQ%2BYz6gOBfMHvt7H4NoxUt62sYPZAHhEg02esxE%2FJTMocM%2F5J1yLnZF4%2FjtZf6AeK4%2FjfpeJm1EWvVcRkP%2B1P%2FGY3wC%2BEI%2Bi8wqyoK42UGRPf5wObXxqvUEm0QXicYLTObIinArWtopKw%2BMhm5taSJLdyhrrxHw0ku1VCaW%2Fk64rRD%2FT2eP%2FmLWn62lpckM3OZshux8FHrEewbs1ao4z2kcFnEzUQLdUouL0xCI5VpPswJssswH1mxxNio541IsEaYSRw%2BzCQPH2bMZ5bQGwoCN%2FU96g2tfE99Dd4r7Gmk7WXtyMvqL9WDL1eoM%2FXlcfv2FqCxB6isRQWtOer202gL8Ej1ZA4tgkHgT1OAKpp6cli10Y2spuWqi8l%2FHN1P3lYX1XIba7IeJX1ZQj%2B53YkZWX56F7GGNVMLSdXuMn4n%2FUY0e2DKzdSAfkN%2F%2FaaEub2up3j1eg7MhREy6O3CnBft129ne%2FE32SSbHP%2BVBn%2FcEuRCoC4tnMGrKF9WmCJ3C10vIwxTmJTQNjnBrXL85N1dx9fe9HsX%2BSX095nCuCtKcwg2fmkXLugN30M6t9Vwpr4KQyPOwDciLNDkMNs79kN%2BCSKMFSrk7SljRGMZINlzNebksyg0AvWfIZPiWXk8BsMzrrSiqoV3gNdz4yYn%2BQYOEtwPswy4t2t8R2F1aHznphVZ1qrOd9Hj3aur8U70PhPuocUfQafh26hO49Z1GlRoUFQgO0%2FWzaNkgpnGLxl7%2FUhdCydOthdo9C1G4P7Gf53m6GLqbepb7Io%2Fqw%2BRjX9m140pfyYbYQtxc330M34lfyVaMwkzKRBZkOAg2ag%2B9Bd2UCJjyov00rGXfISMlTRZxzEc%2FzT%2FNPXnjtDMB0cVS9YQav%2FUzIeAnvmwDzMfqP9CwjRZzHuYmvWQAzmBSmVcinN7iAfkrGfPHvU99YD63h0V%2Bo%2BmO9QP7tlDTqaHJ8DlBB1iPC8J4XI1wGXX4MLcIPsEuGwWjGcwsMTwsGqWiLF%2FMnjRfHQKWFh4cRygptIqS2HS9VV%2F3QmmUUggcEebC8Uoj2DYpSk3lwtyIVVICSlBngzEqld37Hh15054P7hjCixttTPwPhEmcSJM7gaYPHWYHOMwOafABJwlpCZDs4l4ye5n3z1vCiS3qO%2BQ3c%2B8e54WTx2HYzozyFxEIemvKoNUF4hS9bpXG70hOtfCVSWsuWUBvmGAL4zrTbQX1pu0uN%2FMt80YoMOYGtSHUYmKSgdmKpdtzjQq2r1iyUim4JDLood82DCD5hV4jYKDl3PDfL43zWGlpAf4cTKGr9zFOwUja2DNvIP3cB6fSTY4UyE%2FqRjc3bHmeM%2BcnqbsyXOTt0%2FlVzbAGm0WwcCxxOvy2VyElyNDSc7Snl2fzS1p8xv9%2BQ1qujiBPhjJHahxtEQXZDdN4vFVMdeIH3ftltxSjYd9qB1PRbcQxYgnJpwfD7H3yKgWeJwK%2BB1gEBUrcL4xDucHS%2FMCpuzV43ARWhDFZMqOQDRHi6jKtng3jQNMQ%2BlcNjS3o3%2FDUy0L4RT6N3pQcwUVYl8sns7Q4XPDniL1lxhMywn1K0Qsh9vatThePjdMCvmcFGZlQMBBBCmeT5NUDtRxONpXiOdzsAsH4VRO%2Bl7kts9X%2BrZscv%2FgB4HnT6l84fbwBv%2Bliyv39b5SCZy7qLL4Ev9PyeHKDfcFKxXvis%2FOrZy3N%2FrSS03337DwYv%2BPfjTtq5VFF%2Fp%2F%2BAP5ogUVjV8b8%2BYi4zlfnroJWM%2Bb0yUfGn6YM0VzvrzBiclxNC%2FgBMlxDVkPJ0r9WnjbbRfX%2Fp84ffNXDVcxU%2FNVJ%2BMQnIpD0wQc%2FJNwCHwMDoABORH0m3as%2B%2BFO9bETZ%2FjFd6yr7lQfnwJzkw6zj7I%2FXy8O1SR7QIOZFofWcu2cXgqz6NNhdjQdJ9dOJpji5aHpXb2pKVAPs9OLVz75YXXj5ic%2FHJiab3dFkS0Mfzj2wcCHT27eWKtXPof6KYxMkObcYThW125KrAEYm6HKMc1kxuLhsb1snLxEs5l%2FPuX7ep5J7ft1XxXWoIOWpH2fpqx2qQPqLNKtwfBDmKOLYI4aUU8yUC%2BQQHOw%2BCr%2BUIk3NKRVIyA%2FJC%2BSA%2BohrZx5bC%2FWFOLvfAYG4a3a7xhrv0PGfweWCcXYrxdug3ryGdIGsHSoM2u%2FU6PJv1K9DauowZhG0B2ccd4d%2F%2FEgXnWW8g%2FbK7e8%2BvT5JuLUsGBb51zVKGuM8E2xlp%2FlyJScuo4nE%2FjzwEuMyjeT5E719Zvf2UmSN6ubbyaj%2BgHOjEdgF34vxsT5nfxO%2BnsMGLpREWxd7VdiJIUXqa%2BRvTeT1E71tZsVOKJu3q6%2Bxubxx1I71Ne2Y20Nzal8gOrVcWY51dpaqkqc%2BrNDmVpmBWl0Cpk1qy%2FgwuxKm52PxrUs0DjIaTMuVyER6Nk%2F2W9BPGGCajrG61BNR7Fdy6zUPsjaGXzc2%2BeN8zN4v%2FfHkn8aSO%2Ffjp%2BHD3ae%2BjNvKOQlaXgfewlkuKFO1yTTwUxjemGF6WXKKZTkPTkMjqLUhsW4h3Zm6KWdGYYA%2Ft4e0b3favPkZ2hhdzEnRWlyDMDV15vMEKyyd8JUg02cVU7iIF6JlrN6YlgEQrNtCmHMAh%2FF9eRSwrEx61CqJfSfPrdHej8aSg1Z4ix7aRFzwYtczON%2B9Vewedf3DY4WN8u1aBZikVg9pqdS08RRu89vG3WnkyWT10Jo14DDG6Zl%2Fhm31M3cLS%2FZ2tf1Ix999Cf%2BWVo7lB3P88uBtoEpsKVeyk1SvpDGHL9hQ8HLOvg0Gxf6fIW%2BxDAmEaSSMS1WzQu%2FNJs4aXo6c8G5X77j7c90LfrMZZ%2B95vrTVznPcadmF8j0eRs3ndbu402CNyrGvzI0pN51iu%2Bu7%2BYHbzp7%2B8Dgmlx3uD%2F8gvrDn%2BxekzMbPc7CjfZVI3uTM8%2B6aXXWazaEArkrWlpe%2BiHOmUsZGz%2BH%2Fw9mAXAZURZSjppbVea6SoMwFIvgNTgX2GdGH029cXtlWAl9GrBhArCCLhMmiA9f6GNTPtmXSqbSbAE0nDDn4AUjbpNLDeZ58yIjM6a3OVsc3uVrRUPEZzE7Oc7kCLT6%2B%2Bdsmj3LmXz0H3xSar7TvXyVIWfvOH9R2snaeBMhVlfQnZwhC47emeRbI%2BHpN3ZLlsTwUHjkvdSKvcXowi6Pt8Upm6yEN3qbh2ZfMvspsurirjUPGVgh%2BrnX7jNFzrv48VW2gabepjY54OIt6aVrW9KXYJ3695gb%2BPf4HBNlZjLzmdkMLk%2FtVWWGlk66IKMMHlIK1dJCIEIBVL5ZFnMgaGpvyw%2FTPC%2BmZJ4hup9nxNZ0fnhkPhX6QBdjNmyIAFmMsbQhVQgbskCZNJ%2FSio3yvQWj7JMLmJgwFDQ2z1t%2BxZYvjn5xyxXL5zUbg5MP7BZmd5%2B2%2Brqbrl55StcCKymEZvSHe5T%2FUdLn3dpzwQWJJR4vu77N0rZu9Yb5mcz8DavXtWE26MR9y4ahM6d3tuVOH%2FiMgyxMzJ0RWHQKlryvWbjuiq2zL%2FBvaG3FaQq0YIAWCuOjGQ0nMV9jys6aJTqSwWxQpS%2F47aH%2F%2FM9fM1KnRXGmHYrtO4aSg%2FzNodi%2Fozhd%2B6xOm6dzn4u%2BB%2Bh7kL630vcEvpfhbMudLXfGjWCg9SuBfiXYr7T2K4l%2BxdrPPG%2B12V2BYGsirf8jsyxwyOGccDCdVmYFCaPRGtOncySOBC64kaw6gWcSmvoBVxSSMAgsDghfJ%2FiCocHEverL9yZWPnb5BSnL7p89n9h0FyVqRg7PcDpIW9LXnYlN82TIxs7U7JvT9mBQSJx67hfHyS3uPLriLunc86%2Bd7mxT3%2Brb4X78Eo2imXXNK5uCY4%2Ff7UxmkzP9s9gbp93Td9csb1ubrXfT2efR%2FghfBeHopvqGG3PRk9StkQKQBbSkQX2WxCaSj1%2FalDA4Ek3S2DbvdO%2FYtv8iL5AX1Mcx4DNnzvwWviVmaDl6qMj%2BfKy7iIIMu4PU8rUkKnfbYVZj8ihyc0dGSVA568OOOGUfzZL0%2Bc2d5YSvVqNa6gRO9yVguofCaJOZw7DpS1CnfL63r4DeB%2BqPChP0FaQSIvUZZEhcMGKfhYJoMCaLPifZtH7rerLJ6fOL6gPFoOfMN870BIvqA6KfGNu9PQ4yl6waXr9%2BWH1a%2FUdHj7fda7f9Tf3bab5ZXtG8bJlZ9M7ynUaEv9lwNa7le5sndWEowGpSzzllVjHr6tH3PJaZabkwmAUEhj5G3huz0j%2FltuYLObqfXxKSdmHi5C4pVPzYfzT2xL5fuzAkHVtUS2GH9ebv2tL89JzhGv4ZxsK4QJc%2BieppfhpZ9NCkGxNtL8Flx40zQmsRfLDUW8V9gt1N6yhcYKU5cBCHCPZ6QC8pcBmY%2BlFSkLV9WCDX%2FwUXvYfG9qpPEu66Hc%2BpT7KP7bjuITz4l0qFXf8yelBfQpXtup37x%2B7beb12oNFf5gZdUqsBdoEhmZvoZZoYHiNiPJasZYuNPaX%2BpIjZ9JgQpuXPIzcPMFqeFR3%2FBHBzN7OBKUfw983VspmWapgxj0%2FKYg5MRw7N%2Bk6gRpr6UpPYFAMbcXCukpvQDGEZSx5LGeByDlVckDxusRSOALlkTI7TekJJXhAgoKgPG1O9WLzgdRhAlNfaMYGNahTXpPKJgfaIaAUbG%2Fb9qaXnfuU7Xzl3acpvxPZMpItdXzlyWcvpAavV2xxv60r7RdORSsfKbRdetiKXW3HZhdtWkrVaIi9W%2BWG%2Fod8y3%2BQ%2Fw72BWhMno6Ms%2FDuygWz87dg%2Fkd2%2FQ3fZ79jZSOt5zOv8D3mmVhtvJvPYOezIb9WH1D1caOwFdvbv0Amn1dPNYIqGLaDjm2AetTGoU%2BtOGIGq1uiB4QVNRdc2HLiE0QpIGTQoeKFjXXyZdJKuH5Cbf3HsTXLvL8gNuN9ZYQ%2BQJvUPtBUR1rVtVv9AmlCdBxjdMGZPwJhlAdpyDMcrkFO6gPYuJallB2Pwha8im6BsAhWpFbMXMWWxWYtegLJUkpsBpG46KskC8A7oHOj7RM8n52A7CV1R6QjRzzgur3hZNJZMuQ1OR4C7KWloEs%2FEydj3CmsKuyOhjpB6EN6yNI1GnjZ2W0u3gXvS7%2FY8LEpw%2FNhM3u6jszervYe9UqjS4WMacoOxjsPZmAHHozau2LMUl3pFInZdIfmczvRRCQulK3rB62EsXuVu0Qpatd%2FW8n%2Fxt10wVvXfdtL8QYP222IGGbnBPsuRKBgW4%2FeIEmy1pB5suNMxP9aW1aYWOhoISQOPbacyNapVs9HOTtQzhz2cNLccb6YaH8lpTJCDr738MukgHS%2B%2FrB5CDteSyXX%2Bhf8ZsCe3w2820%2BoitEctGdoSajydjIZroihxotL4T8An%2FVH1Fy%2B91JADpgCVtfqChVqGuRKsYmeFEC1RMlDu8VZpWVZTzXcXoVZQOUKbqUWwmRpWaJkjoj69J6f8NBEtc1f2YNAIhGG8JpOO%2BdsHIk8ZWr3sHk%2FC8JR6V1FLtKdDBm9kDfs7X6pbHmul3iy6ru%2FWc3WtIKsKYPXQsmsGC4IVo6vUAbBladl0qcOIfs8gJTAHTDuTSGlezg9yw4YBkhATcY%2FPAfyMHv4US9vZ6HIzljw3GwjwjljQ9wphWd4g8BX2kbEzkhnWYnMauFXeEF%2Fg3g5JyLzYMCDrz9rtR1hB8kXXHAF92sILnIElR449U1HftVlJs0ROVn%2FLraS%2B%2FmdoXgvLLAL6nwf074R1Nq9XEeVoRmskhzLVny2305zq9gTWxfVmtNZD7TnAqqtHi%2BH3DZCCB%2ByCVJIGLASjFEYbuu4ABVTQkDOE0fA0xhY1ed1XzXRet8ptdHvP9ML7quucM7eI3qag2xQuXvjQ8hv%2BMmOGO0get02fN9067SJyphR6msxfus3b4glKnlbiuXGp%2Bq2nAfM2gbOGJHe71yu0%2F1vP0FCPEflTAp3oQf5B1Ldoqyn8S6G3uyCgwzslC7L0x2Vvdu%2Fe3f3msj%2Ft3%2F%2Bn2vYf95EX6Mc%2BevrBrt8s%2B%2BP%2B%2FX9c9puuB7U1uqjXRcSYNKx%2FNK7cdghj5lio4msD1vPWqhaId4BgRAwsbS3xpZ7v4mRBRxFnkpwkRCUunsLgZXFoq%2FNIOvF%2BaCilfrN5KJVtmubYcLe3uKsIhvOLRw7djm2ZPlxc7CfrI53FrpO3CLu6Tm5rfvlfggn1DnL1qwef%2Fc0N6h3FxtqwJTqcm5lyM45qgnp7mRw2A4BVU8CSZ2x2YanHx2G4Yf3kaU2GEtfam2gVu9grQNSwTMZFd9nU1oUucK1et92tdMKqkkYR3kE9STmxIPYOEOQG2aNPwHr6WIZNFiIwBVPRPBcX4jDTPgn3Ioq0sb03kFEggLp3MgEOvgrIk6vpvIT1r2iQ%2BDUU95OYaxl0pbbSFiXtNEPbi2iXe2idfA8t9Rw5Lu7dWnJtN82o7R4E6YJFct2A%2FH6b2OSdSY3CplZAOQ4UEBV%2Ff8nbA5SRB0%2Bi3uWCSIkA0z0BMzpCaElWtLaiEdoqQY566DJHk7ijHSzmv%2BTB8k0ZTJVis8NBLnRYRdvFDusakl6z6eLVm7YLTU71SeExsAESnzU2OX%2FgcrtdaoFYeTMn8DxrsHxxrfo07eC1mLWLCYv5LaNts8Prdly7ZHSZ%2BrQv9XDTKWSV1BaWvCFCWM7A2UwO%2B%2FOr3tVl2rnAN2uZMI2hXEs7omiZorBeT8f6CmVGtjydioPp%2FUi7IbqUYC0CbYIQ6dJqEZBxgNBeF0pAZVALsCQjWFJoa%2BbbKe1CrTThQomICtNf4qZj5Uiqi9KOBSFo0EiBJcCGMFvLYkpx8VgqhzI8WhATAha6CQ5DB0ElMyeeexESyuq42O6yOsjFgjf6lEl90tVk3L5pteUNZ5PxsySxSf36urstBmIAgpl5K1FbuT9W2NmjS8i1Lpdkv8xmfIu3p8SxD%2Bxfa5PIqmK7V336FPLf7636ptVpNXMYaSGqDSmszbWNqLMaHGCx9DEzwEIpF3CuTYc5NZBRpENKAfuZldslKkJnAHlycMCFein280O%2FSzsGWdx9%2Ff0lR4bmdTFY4RNma%2FHvVCKP6VCSmEoancSITVAKw4ZBrA7ow0nlkw2iEMUaso0UdNZuf7hNUp9eNrrkWmfCsdl32qrnfQEN8mwWkTpFNZvY9eyP1fuMnshjAlmLpLlw9SWb1qg%2FW20j9kt81rX3uO11GpEKutK%2Bj4RUXwe7paLHMFjGwr1n8MO63QscM5dR8loPmH6apJ7PKp3VcictwemcDphHs1h8mtKy0mcA5p0YB7SBSl5ypgBzO1X%2FjBEwOWeCrJCw1mSIJLQmkZgF4CScJyqLBgc1SZN5cRBWlVTSSVCTZ12%2Bzfak81qydHQZWeVtf9g%2B9iHMAMuX3yV%2FPUV9ytuWzXKC0e%2F75j2A%2BsKI7xI7sa7JVdOrL7pk9YU4mcha4bFmh1PdDqOuvr7d2Oz8vs%2Ft9pGKVXCZOLv7HvYyijiL%2BjjMkycZB6w0M3R9xUX1Nz2%2FjKbvac1DXTZ0yLq1Hn2Mh1aEl0ze%2FnpNuB42YEEFF8xEMpy159fXPVwPlb27hyRYUJ%2FIPeol7Jrrfr3nrD3qu3oA1EMsr7xIkqTjJV1ffRJgcsGqN123zGAK%2BjSYtGwGi5bKUPJi7yU35nWVLYzYr1Wpo0tLpBBhV0kKErqzC9E8QHRt450r5B4EST2oAUQB1gB6VH39xVdemkKjYZ1GYp06Wvadezz7TkRj1ubsp1aaQcIsPHfJ6tW6zk6gU4J2rSBT6QTraKUGUwORHkXLi4xOhmmpDpO3cdC0vMUGsKQJYLl0sESaHGjDdZBx9U8dyoSZ9qM4Doi0irNyHBg3oyWp6dd8HU4XczvzJebLzFZ9PDuqyvKM8oUMUXZTcDURu17rTvIg5oAx2sCuF2c5HAZPNN46uGjNNbfcese96BuwuGdZ7LHktIFTz9%2FywJepEF7eIbqf903rG5y3YM06vOYL4iyzhfGuv%2BjWHTvvpW5Oz0Se8Bh9gtcnZNE1LIfZgg9dcF4HQaHEFmA6wn%2FsCGwEZRCjqX1pgtuFvkKYlcMkAko5nCkMc4VkAUPlhTSX6kvhjIcrU8aUAyYptocV4D4OnPwFXxbevD4pzRVylKTXUuJpJP2bqckYIzaf3%2BRf7RvuD5nSXEe3kRg%2Bc1U4Fuccabtjnmgeakm7si6eGNt51hQIyh6P1egytjUZbW0Oh4fnE7zBIvh9Rpcp4pbNlvb4TJvVHOmzWYXMSqfH7ewMDpucQ05pmOM8hOshHBfkLKLVLcTMXc2tD5Mp84CcEr262TwvYPXwtrApE%2Bbdi7zzzUaPxcZdEWodjpiJILishLVa4zKbYe0mzpd0hwKh5rDLSIhg8STMJm6hJHdaHB3egNnt4cxWOSW1CCmDnTPwrXGfjeNsbqOFALWElNMqC7HLLrO1ChabyPvXENbI286qxclY%2Fln%2BVsbLMIOkQID0fbJBLoCSniLGWIY42fXRZRv%2BYac6dvdR%2Bz9cv33sKWen89K7Ol3sunNf6Tv93Dvf3vbs6fMyY0%2B5XJcwtAfiBuDNp%2FS8cM03t4LBfgO9VaVArePmDPaVAkMfphPol9OruBQmqjT%2Bkz9U6ukf72lZzlPrLY%2FWG3ZGxJjQ%2F6Jag2CzKdpwaqJRd6JtsEIPqzatdrpS%2BZdxQ%2B9bx9tUH0BHIHugON7fAW0ArNjS6rX0kKrWMVmzq5kSY9INd1ycDKCfCGKRe%2FvYIu4W9eEKv6SIBd7qQWwAwzTaFminJ5gN1INDaFVrKIeagj%2BG1e1aBWgyozgPKTHaddAZQwKCagJg0Ebeca0nIRaGxWlhGHYhZLO47jIlB6y4SkRzD0qNHVPrJR7Ua0fd0rQzbI12pGugvdI%2BgH4GIBz9Rw1jMto%2BoBEKSzppHTozwa7HuKgXtKNaZp47h1F2jKpr4VbMTCA0Fwk9lNgfhStgEFW4ubKzglFX7YN9Td%2BrYEi1gi84wLXQj2MPaCfZt7RrGL1X515%2BL813iYCNPsIsYX6md2x3VtFTviinBKrK3CyWBffTvgS92XIbpVnbSebOWvudpQ0pAbAk6IXrUWsndtpIaqb%2BcFUZdtG4yYLqvsKC2aZOpYdaGwXaB0%2FPfliGSjD2FbA4aFuN0jBI31L3IOg%2FBTAdnjM7PXxGyzoKaz25bKLWG2dfR%2FfgMG62aUk4SlwsZQZw4fGT43X58ekd7%2BKxPupPwC0ZbBGWes20%2FZSghakSWkEA2Ogn6gt0cSTd0iL7lsKrpcUnr2yPXEfM2o7DCXbOghwJt6QjcKqFlE%2FQPug27fzvu6It6ZZvt%2FQYthGHw4c7lrt9odZcbqWvBW9D%2FaO%2FZAb4bwPvLAftCvMdUlW04kCa9MGoVbFXBPZvYEopzDmY2a%2B0iPutzmBTD1JIcpeyOWpEGGG5yWVxVeorEIy3pjCALBDgN71%2FvYCNJeGwfgk26AnDwgNqZoTgN1C5jMdAwpKm4LT4lnkzp0dntafaRHJn3O9sOtVrTp8UV68X5pJrvR65Kel0tY79undh4VSzwTmtNen3ktN7hzb1BeSztpiE046NCXNZw%2Bzpouu85XNXbTq1bb7KkEP%2FtKx%2FVrOrp6OzC3%2F17Mw6kY3G1SuF2eQqn0tuTeEvjsyMD89qbZXw9wp5Xtx99rmn%2Fe0jRhgkH83ef8a6z7VGC374Mc23uILp47%2FHr4cZl2eGGJTC3dSPI2QJkg%2B0Bq2bWIemNWCzjI5mbH0uOLV8HC4HRDVofh0gCHVHYZ0CdlRMsylYhb24jPtkMG2HWbRcY05KJ%2BOKl2656%2Bzz77r5xfi62fNf2iC6Oi%2BfNzJ%2F9rr4E0PDs3xnbFx5mW3W7OEN%2FYtmbLk8t2DwHM712Zduvvmlz6ZPvWj%2BvH%2F%2BrCzPuHneSfPmX3RqumntScO%2BUy89%2FVLb8Lz1zfM3rnrymRXnaPj1f%2FQBfzX%2FT4wf1h7G4wVAYIwJbXqfErADPoyzYKQnQKgQkC7wCSZEL80fgBHvH9kx57QzRkjTyMgOk%2FWCg%2Br1fz3LnQ4VRg6O7BBsFxwkt8J%2BJhyKF0Z2jJxx1iz1DyNk41mzdo7gV749ssNswu%2F8z1nu7umFEcKfAd%2By0G9tEHtyofiFnXBkZET9wyxNrlf03oHYQSWEefA00hqgVrWbemSMWtcXGBnYd2tVGLSDBhU1Gdr%2BpckNyqbR4NMew1AQtZSOmlVciIpRt16ZXxk878EnvlycoYVWimio%2FsvQ2qGhtUXuW1I2HQ6ns9Kx%2BSCx%2F8IeOPYanhia0EvdP54VE8hgozEU0wTjR6lkb6EvKxOfV0DFgYCMJpkf%2FwxUWmvc6XR0OEgT%2FWhV%2F3jwJ2TrTw4SuRV2nU71LSd%2BxNX%2FUg%2F%2B7McMR1KMG%2BzK3zA9wKGzmfsZrGPsoPWNw9lyN089LuhJGKBOSHe17B7AY24Puhzm0AY5sNZlq7hAZl2lLtJZ5t0zMBUQDE5vZJhuuUqzgJAgOpqx5r6pWpqLTY4wu4jtV7pExYyBkG7Ybe9XBsRvMI6m1Awa61fcmDGI3nDQccU0iaf5fK%2BeKcjLcRAKooyV%2BEbMF8Sid483zAGXiQ7ioU1fSerzhnWLjB42PbIsE12%2FfXkxOXflYCf3kKlv0azY4IpCW3l38Utr2gJ7XWKHt1nghxb%2B6Yn1K0lp6TlOspwYHYFM%2F%2FrC6bfNFpYt5z1dMy8YWbDYrlYdgqdr8Nzhzz9hXbpMXNe2iQ2HuvySUQCz3m0aGOt03zprfkCPCZ%2FH3cs%2FDbTdweAqBHYDqChhGk1spo3srNWyhz4QxOPQaSocUvppD%2FrWbNlPux%2F6w%2BbOskD9XwKjVZQ7Na8FUtKPjW%2FZ6SOUYk7xOWukpaMnhzsOt9IFtO3owcUNjUtGLHUNaoHlHNILaEmlSryXPkJDAEsfKJ2T4j7YFoZJrg%2FntIx90ZI0QyY1bMAclOJjfq%2FFzGW6Nz528%2FcfmLOiNbHa2x6Vw395ySRJ7TPiZ0vRL0SXDGbbl6c65J9lU2tlf8EoWUSbaJ5ma2XXF3sKwYG1Z7atL1%2Fdu7g5JHX1N6%2FqyBWz20MDfVYHiYW%2FGJC5EZ4P2qx38w6j3SpaCnfNB5kD1jX%2FjK7LRGr9Px0ZxYbNRJAoJSsYg4qp3lQ0LppZfGdpDAXsZf2TRgFpSQUNhxzbyt2C0T1WlxFG%2BgwF7H7xmN4TxpgDIa1tmmhipbdaYnhgbzvNk6eeuXKIRkdDMrZAwz5LOIosbZah5dXhgwYwtc4uwxct%2BiNfLLSisNSE7chdoLIGstl9bpdkopVyHpRN2Gmjlo6nmERYE8DoNdFaSMUuKiIOqGaLR2nPaQz0aI2QOFFrilQAFZJ9uYIxpNEirb45p3gOOruLBFv2ICFo01c8q7U4OowNiiqVCTRx0DrDGLNHyxcsCRbsPER9koCrifpdQHK6qJO3mYpU31QCCICMUwJkgX9FJIDDReNfoRaNKB4gzr6gxWrSNLwMNt5qJICgESAWwWoD3oDVBqVmF5zzYx2mEmigho49N5kqDdRAGhTrJDlnnBoaBdgD41Q5thVLcigPLtF5xA1csqnWvxRNAnRfACEoU5TtDtrGUMSJLWcUEX1R%2Bzwu0UQf7SLQRyV5aB4hdmSyUuzxIR20A85%2BhuWMtEuEA6tdDTydt7o%2FgyLGYXBDREtL527kZRgzbUxrDA4aOiDCvQ1GDj4oosJ8HA4Chd6NmJTdtL%2B2G9t7YLFYleJgRd%2FVPg8dHTvFU6A4WDQcRMrCFAfPRBx8k3FIUOg1Bk014kBbEBfPacShSIHHP8qVuERSvtTtGgtwJmKxktERsNZqRFz6VKWwOw%2BVBasHlyRgUmw7Sbva%2BixmfAfpq8FtNaE45YxaFUuN4LQvWO2Vk2rihNaD0da2mLrYQHTatrv%2B%2Bt%2FBawV4nRReEDAgfCx0nbC4EV6L7xPgzUlcA8x1eCsakHoz3hODW%2B%2F5qNWdd4zX7jZPLY2W6wXRzNSC7Mn1Y1jQ%2BPD77z2CRYwVraRRq1zU6hi1E%2B%2BcVCt3HGivxdFqsMTQizkJmvhUaFBkyCAWaKklU2r24GbseCXjkyH0dJP3H0ZYsNLykfcmAFkhS9V9COkj72l1mI2QqrYjR8bjfv9reGPj8Eb%2FHnjlJiznrUM0Ad7ikSMatO8%2FPBnaIiCy9P932kY5hLU2zhNhJYePaEyAiACPzGwg7WaAlfKkwUvrC4PMIFNfjqnbBysH3FqnY1AHZNrVGESpQI2oWvaGIooKp%2BXYY0KEJ18HLl%2BDWnvUW6UGFxlFeBCuivqw%2BjA%2BBmxCIS7V814DQXeI%2FyoTxYwfh%2BYbgiWxmUakMRnC16wlQ5Q86PF34kwFwoAtF0HLuI%2FJ9YHhZuhzF%2FoyoImBrsUIxtdMMknvNhjMZrPDZmWdxGE2yerPyZdZVjCbnRb%2BgPrhYhcreNRFXslqctrZCzyiSHjyrM1pM7uMP1d%2FutZTn8uUbn4Y45lMmdPpZsKabCw1CtK8DhCL3vrUtmoTuhTk9MxExSUqzVrnURjSQj6KhZDUY4VZn7R5BKUpjm8mr9Uik8OOyhlnPPoOrkxU6AAxnd%2FS6PctXmDZd2hQQKNsQ01AiGllVutwOumiGgTAEg22mVXz5CRR5QOT7Dl%2FIBxpaUWtF%2FSDOFYtYzWLyRyOxenRoEi9bfUi65Sge920gt9CCvMVE7RqQJ9Ny66rVVQ%2FuGVR8dF3yJ%2FJxvvI4fvUJzSWOHvh9ffWGPS6Ze88aiZr71Nt96kPTaltObVWj9NEH9Lhaaxw0apysKUEWKKBuoeq9iC053mzxeF0e7RKRrkJjhCjYLO7ROaENTqs3ljiRFU68uV7Lr98z4mLdNx4%2BvIGOYa%2BUBfofmm9C7eod3CgD3mUaBGfCfQF%2BnQ6NzqQfbpPsSYLzCxt7Q%2BrvMPK%2B62uY37yAnkRMxmxWyY2l3Va1Pe4FuxGjGwytiXLHOf%2BnZPu%2F%2FfdXEshNE%2B4excWqauzyZnjd2cP0PDU4aNvTbj3jXBv7LtZw11boQ1aY0rQ6GxZvL1Iby%2Fi7aUpuIMZOuHmPezqL6vzdrG3Ntz8u%2BqP2dW71Xn3j83I1p%2FfhXijz9Zfx1yqYgDRoPUi91HMffTWPrx1cDLmciHFJTxYWdoIwMaDGzez3%2BKO3HfwPvKjBvL%2F29mvbjz2JmH%2F8T%2FhjGo%2FHhzpE8Dhyf4doHhkQS7I1gZQth48%2B1UO7%2FY3ck4DMYoHNx4k7wB8977HfuvoH7OaDJPxmRz8s6BJmbDOg6e2n5lWPhmr2HFOK6rHmh8zkfkH1IT6%2FeXsnrEN5CHOdfQV4lKvJnuq3BNj02sysUhxwyrMpQyuHkYYSCMdSHzmhiNbNor0gRI87Jmytef%2FgfwxUhHkpO4hWkrnNIrustkna14hTaTgcwhkWjGOOm4siXiHpCPA8ZWwd9fYnF2YKVYs7uLe9oapEDz2DBboq5tD3PkVyn%2FDtP%2Beh%2BbjzWJQPwQInRRCJxgVZaNzAnjh2kJtpJ2KmZIRRGDZKvv1xvh1oCSQfhSkRAHLo7hxwNR3r9mmfg4hm3v9NWTj9WriN40Qvq6%2Bd82NAGAJTm64Xm3lnqjU5orR4KCwykycPiuxtQGYRENnBY0qQorUaeJpKIvUwTj%2FCfWQ%2BrxOoOITT9xY%2Bz8OivohvYgS6%2Bir9ORNX8f3Cb1J3ZR2F9E1GWjnoLRzoEljdKHKHcRy5BJvytbJ5wQKM%2BOBHLpAOl3Iz9j9x5alTsAgtijxYGk5rOYlJLB2yDKRzvhATkpmTSnnaFa7RufNqo2ip4WhKw00BjsCsHqSCiPaPrhSYY6D02nHwel42EyAvxF4JSRinkcJi0LKVlsA%2FUOwSE5GQR8oLdZvJuMoVID6l1AcaLRfPdiIwyUVOjY6Fvj01BoOFZoPZ6acMrl2QNMQwVzR%2BrcdXcErev86MnqE5g4ni7RrxZib%2FiDGls6D33tGt6m0ztg3Y6Si5AvmsL1JSW6mD4ssWZ05fFxkyebSqSPUWuhaqSsNvRA%2BugpTIlktaFUZNOPVh40NeM7p0mNAbq8kah0btZJPUDlKxAv0MyFhtXRb%2BKNuB%2FqiehHuDmDWv6Zf0h7Ro3rTaLoJBtrL7LdpRA%2Fzcg%2B9TON79V72tbrsGVpdNi29ZmpOFdmKS9M%2Bs0s2Yf9njNWYqcZusVJHYY8mHkX9ycvam1DvZ5HwYrXOeA957UmwxWxW%2F08bhtBGgVYL3W4Nqu8GEuwB2h4ba2Bq75t%2FoJ5Ee2D8czGUj%2FqNBvUK2o9vZcQjXinOjTT2Nl7C5DBDhkYjbTklVy2zVgfau22Zsr85gZXmKXxWwniyaxsmuxpbaFPjaB4hp8%2F2kbAHLZenSX7APjRwiksPboc51OqdBCi8OEAOBxaTUZrJmw0E1M2LA6otsFjdXDsy3ZYkd6pbkrbp04nBLDm4a3wBwk6Hw%2BoWcmf98LHb8bAe29RsJz%2FTzLSAnZxmskzZr2sKvgz1mdNSH7cX3UCZjNb4yO2iLBVoplqcOMVKKuQS2K%2B5bsNHZSkB6KSiJJ%2BQtCxz0E4PotE0WrkAdJl1RfWOYq24AQswUxfQY6hQaVdrBs3YnMrZ6qFi3dwfrZx9dqU4Nu%2BRWx%2BBcXExLv4h%2FiF8RrA7zMlhLjeT9GHBJxAwTVKFYYLpw07iIpHhe847%2F6f3Xx%2BJPCIKnu94el1bdh47d4todHze0e1%2BmPt95x13HTzv%2FHuGouRhd9pxu4MXt5x7bOcWscf7oscoPjwxtx%2FXt4zeXwmf45qheXsnZUoj9AEvTWhfZmCCtYn7ku3ZWZRomJpQIPneYS6LzCvp9VE0K8Hrm0mGyRDpa5ElL3aIBo0%2FzcdjDt5JJAe5mPUlV25emfQRQi52SChkvOGQ9%2Fve0A4yvINuGIPFra9vO%2F2xq4ozu8zm7EFvzkEyWd7eEpC8Tc0WS1b9qSPnxXZ47JNSgI%2FyMekev%2F8eKQabAaliCpzU0y5F29qiVkt9%2FmIecKAefycTO%2FdGpUQ0hT1dJa2LPX2JMn16x0fcN26gj%2BPQus5Xdh2hT6TGf%2Brmou5zqN3DTDvatOoRdm%2BOSjvLIepN1vpUaQuB9gSReuO%2FWoubXH2riKkGtEKIfhT1Hc0cr6VwsAc0rqImJj5LSu%2Bph70UsGpsge5PcNXtnq4Gf4Ko%2BRPw%2BX2iiz4DoCXe1qF1I6D7wZZkW7tW5DmpjR6G2jzoPMxpXf0NOXQogjqBfeiVrewBrLccm7NVoZ2TKMNjLyqgm%2F6UM3IYr1Bt8I7VGns1IUa930XNoff%2FEk6BT4cTXTI0NiAfj5P%2BoIETYlShDj%2F69II6RvwEfJpAW5szBZvWqdgkdGz2eaXmUB2Xfd5gc%2BxjRgcYGEaH6J8nHBXqXKlo5tdEDCjkFH4qKibA7oO5NBX24FTYm8Zhl%2F3jsEs%2Bvc%2FFcWE3iJ5uclyIdSk7EVT14V14eNeuqTwjU645dRxSL40LxbPYojFBH%2FWjw97WALu3nvGPtVnRKrYubyW15zbomGnPATou%2FPTp0xiH7iQ8LuugxB0HG6Tx9va%2B%2FuR24ulr3749eZxpgXGQ1dvXrt2%2BGltmTZ4PcVrvOnkUOqaOQmfDHI%2B2pibMh1iy7e%2Bd43Ea24l%2F3Ay%2Fu4jRg8rHznD0fzPGCbhoVU8pZskUbNqmYtOuY%2FO8Vwo2hyOxRB2f573%2BYFO4pTX58RjFsdZV%2FgR8iufixD4BMqM0%2F7uODOrDE%2FAJ0fy1Tmb3OD7hTCnWDlpVhLIfNReQG5OUCVPZ40mzMBYQZHUG1MoE9wXkZhOtCwvi88aQH2P1fu%2BYzdJeVdpdNCkrgxn24wKRKTVhURho0V6s0zg%2BeWQYaz1OBySK0kgGhoqOS6Jziuf8K52TlSnyr0LHGhdIKiRpCGly35kQ1lZovrkQ9YIGaMhSp0N40mMdEeO6h46aUl7gX4vDw9GH%2FSmi%2BJzZybvlJsoMwRBWWdhdjFd%2FrJrUr%2Fjc%2B4w2kZy4vU6%2BEKW2Q%2FREzrvQuJJ34qc70gVBy%2F3j%2Bb06ri2gE%2BypYRvNgGaAiYtNmQYBlJiEcAucz5ZbaIlOSxgszBYXOoWVQBarUeQsPtdUHHfEtnhpSh11VmKTLh8%2BWHaf2enmKUFiUZ0gYf05yrI%2Fglan1ECUxiy6OlGAJ6hChM%2FuwdXxBKQJ4PxGnah4YtJ8GQ0W7R%2FW6n7w0YP8i%2FxJ9NkKl9MMN%2BpdVuyYqWLSqryjDWYWNtLVah4FzfkTw8A0PmtFkrFffymMqqobDJSSFZ9m4IxgfAQfdLqPsWhPXbaL%2B6xOSXsyIEclM4g2FNTxmECzMCSv7CBEi2A7Llv%2BBhm96Zonnrgm3dX13CVf%2BiU7sobMoBY3eX%2FF5cgHT3%2FwlGPj1b94IGBzbFLv0x8H2YAb%2BvzDDHXrhw%2Bh7kcbF4cBZjFo0BxWFA4zweSsiWBoyRMAhYl8lXzxzGsngqE5LygcX1UvDn6leM3TUyDBNYPouboXg33BAIMLoOhGSY5g01CSQ8OMnAlmmfrBE%2FgfvoSfld3d3bup92Cpuq9W73ot%2FE6B3w1rDuPx%2BmSsTMllCyL8oKg3eaI4pHQMfBJmw13bn%2BEvWDS9C%2B%2BS7lt0gTk7cP0pwS%2BeeeUjrMO86AL2QH695PItuiCs%2Fqi7m2TDFyzyR1rOGzr1s8ZTLnvkSt7Jsxcw%2Fw8un4kSeNpjYGRgYGBkcFz6%2F1NPPL%2FNVwZ5lg1AEYbzPJx6MPq%2F1f85rHdZJYBcDgYmkCgAaDML2XjaY2BkYGCV%2BN8CJq3%2BXWa9ywAUQQHzAYk7Bkt42mPcwaDBsoGBAQmnwNhMPQwMrBIImnETELsxMDDchOLFQD4LkPaA0CA5qP4TjF9A7P%2BfIGb9%2Fww1kw%2BIxSFq%2Fu%2BAYBS7YVgWiLOgasURehikoDQjlGYBmjEHqocRwgezWdD0ofgLB4aZeQJJzBQh9n8rkFbErvf%2FbKh%2BmNgUKL8Ui3qY%2BR1Q9glUOxl1oHbuBLIFgDQzDgzzJwuSv0H4DBBnIPGVoOEA4%2BcD3XsYiudjCRdQ3DwC0m5A2gpICyHCh1EPzc9eQCyKpJcDKp4IxExAzAoVZ0XCDCxHIPYwgMH%2FGwwBDJYMJ4DpRx0oxoQCEeAmmGRBEhFnQAUpYBMFIKz%2Fc1AhSOf%2FT%2F8%2FAeUqAVIarnx42mNgYNCCwjSGJfggowGjB2MAYwvjKsZzjP%2BYzJhmMJ1hesesw%2BzD%2FIWliDWFjY9Nic2F7RG7D%2FsG9hccUzgNOBM4p3BxcblwdXC94w7jnsD9jMeOZwOvDG8Z7yo%2BK74Evi6%2BO%2Fw3BHwEOgSuCfIJqglOERIRShC6JSwm3CfCI5IksktUTXSSWJLYLXEf8TbxFxIWEk0S%2ByR1JGdI%2FpHykqqR2iZ1TeqJtIi0gbSfdJv0NukH0l9k%2BGSiZJbIvJM1kj0kJyDXJfdG3k1%2BgfwB%2BUcKbApaCm4KeQoTFD4pZikeUXJSOqFcp7xORURlksozVRHVDtU5qptU36lFqXWo7VN7oc6nnqV%2BTsNCI0Vjh6aZ5hWtPK032hnam7R%2F6bjozNDdp%2FtML01vkt4vfSsDCYNthmqGdYaXjDiMdhgnGE8wkTJZZMpimma6z0zMLMZsizmXeYL5GvM%2FFgEWWywlLCMsp1lesZKwirNqs7pmrWNdYn3PxsEmw%2BaOrYvtCjsBOw%2B7PXbv7A3sZzkwOSQ4bHFUcuxw%2FODU5PTDucP5m4uNS4LLPABRwojtAAABAAAA2wCbABEAAAAAAAIAAQACABYAAAEAAQEAAAAAeNqtUs1OwkAYnBY0Eo0aSTj34MGLDSAiwsl4EP%2BJRtGjVCiVQomtVBKfwmfw4sWDR59A38On8GCcXRYkyMEYaXZ39ut8s7NTAMzhBRrEL44FzhFo0RjXK%2B56WMMS7hTWMYsHhSPYw7PCUeTwqfAEbrWswpPIak8KTyGhvSscI%2F5QeBqL%2BrzCM8QZhePEZwq%2FIqH3Pbwhqd%2BHYWjabrdddyyv5ZuW18QmPLTRxTUc2KgjgIFHjjSSSGGFqMK3BnZwgRbXXfI7xILfgMnKBlw%2BxpCCL3dVrlWuHc6XZG7x5ucooYhtnnqIAxyTV6SWixqHQ32bPUfk27hhRZySYmdSeinghKeX2VcYq%2FVTaXlE67cOjJG%2BU3kPn%2B89mcGwp5LU6O2%2Bq3UyA1iS3xl0mFjjXECTqg1qCk6NVXFyhYmbWJUjx9zTWP%2FjLcd%2FqfHVUD4mu11%2B5TZ9O8q1z6pAzX%2FjlOmyQueiGgwy2VeZ9v2lmZHIM4e8zDLPLDKD%2F2PmC43JiIUAAHjabdVV15RlAEbh2YBggd3drXO%2F89bYCPPZ3d0CioAoKnZ3d3d3YXd3x4E%2Fwp%2Bg%2BM32zPfkXjNrZj%2FPwTVrOmM6o8%2FfCzpF5%2F%2BePzsdxjC2M7YzsTOJcSzCeCawKIuxOEuwJBOZxFIszTIs2%2FmL5VieFViRlViZVViV1VidNViTtVibdViX9VifDdiQjdiYTdiUzdicLdiSregSCnqUVNQ0tPTZmm3Ylu3Ynh3YkcnsxBSmMmCEndmFXdmN3dmDPdmLvdmHfdmP%2FTmAAzmIgzmEQzmMwzmCIzmKozmGYzmO4zmBEzmJaUxnBidzCjM5lVnMZg6nMZfTOYN5nMlZnM18zuFczuN8LuBCLuJiLuFSLuNyruBKruJqruFaruN6buBGbuJmbuFWbuN27uBO7uJu7uFe7uN%2BHuBBHuJhHuFRHuNxnuBJnuJpnuFZnuN5XuBFXuJlXuFVXmMBr%2FMGb%2FIWb%2FMO7%2FIe7%2FMBH%2FIRH%2FMJn%2FIZn%2FMFX%2FIVX%2FMN3%2FId3%2FMDP%2FITP%2FMLv%2FIbv%2FPH%2BGkz58%2BZngnzZs3odrtThzu5%2B%2B8WC99w4xZuzy3dyq3dxm3dvjt5uMXIcKuRcYN5c2ePvqhGpoxu7WGNX2q6ox8eeImBlxh4iYGHDzx84OEDDx94%2BKCbrmsndmInpWsv9mIv9mKvsFfYK%2BwV9gp7hb3CXmGvsFfY69nr2evZ69nr2evZ69nr2evZ69kr7ZX2SnulvdJeaa%2B0V9or7ZX2KnuVvcpeZa%2ByV9mr7FX2KnuVvdpebae2U9up7dR2aju1ndpOY6fxXo29xl5jr7HX2GvsNfYae6291l5rr7XX2mvttfZae6291l7fXt9e317fXt9e317fXn%2FYi%2B6j%2B%2Bg%2Bwx%2Ffwq3c2v3ve607vEf0H%2F1H%2F9F%2F9B%2F9R%2F%2FRf%2FQf%2FUf%2F0X%2F0H%2F1H%2F9F%2F9B%2F9R%2F%2FRf%2FQf%2FUf%2F0X%2F0H%2F1H%2F9F%2F9B%2F9R%2F%2FRf%2FQf%2FUf%2F0X%2F0H91H99F9dB%2FdR%2FfRfXQf3Uf30X10H92ntqf%2F6D%2F6j%2F6j%2F%2Bg%2F%2Bo%2F%2Bo%2F%2FoP%2FqP%2FqP%2F6D%2F6j%2F6j%2F%2Bg%2F%2Bo%2F%2Bo%2F%2FoP%2FqP%2FqP%2F6D%2F6j%2F6j%2F%2Bg%2F%2Bo%2F%2Bo%2F%2FoP%2F%2B579vpDzsL%2Fz3%2BAcxdM0C4Af%2BFsAGNAEuwCFBYsQEBjlmxRgYrWCGwEFlLsBRSWCGwgFkdsAYrXFhZsBQrAAAAAVLmWK4AAA%3D%3D%29%20format%28%27woff%27%29%2Curl%28data%3Aapplication%2Fx%2Dfont%2Dtruetype%3Bbase64%2CAAEAAAARAQAABAAQRkZUTWpVwvAAAAEcAAAAHEdERUYBCAAEAAABOAAAACBPUy8yZ6dLhAAAAVgAAABgY21hcErwCZoAAAG4AAACcmN2dCAAKAOHAAAELAAAAAhmcGdtU7QvpwAABDQAAAJlZ2FzcAAAABAAAAacAAAACGdseWYeHjMhAAAGpAAAiTxoZWFkAmJY%2FgAAj%2BAAAAA2aGhlYQoyBA8AAJAYAAAAJGhtdHjBwRGOAACQPAAAAvRsb2NhNI9WTgAAkzAAAAG4bWF4cAIEAaAAAJToAAAAIG5hbWXUr5ntAACVCAAAA3xwb3N0uUamaQAAmIQAAAiEcHJlcLDyKxQAAKEIAAAALndlYmZYr1LmAAChOAAAAAYAAAABAAAAAMw9os8AAAAAzwwW8gAAAADPDAkuAAEAAAAOAAAAGAAAAAAAAgABAAEA2gABAAQAAAACAAAAAwSBAZAABQAEAwwC0AAAAFoDDALQAAABpAAyArgAAAAABQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAVUtXTgBAAA3iAAPA%2FxAAAAUYAHwAAAABAAAAAAAAAAAAAAAgAAEAAAADAAAAAwAAABwAAQAAAAABbAADAAEAAAAcAAQBUAAAAFAAQAAFABAAAAANACAAKwCgIAogLyBfIKwiEiX8JgEnCScP4APgCeAZ4CngOeBJ4FngYOBp4HngieCX4QnhGeEp4TnhRuFJ4VnhaeF54YnhleGZ4gD%2F%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hE1NDY7ATIWHQEUBisBIiYBNTQ2OwEyFh0BFAYrASImETU0NjsBMhYdARQGKwEiJhE1NDY7ATIWHQEUBisBIiYBNTQ2OwEyFh0BFAYrASImETU0NjsBMhYdARQGKwEiJhE1NDY7ATIWHQEUBisBIiYdFcgVHR0VyBUdHRXIFR0dFcgVHR0VyBUdHRXIFR0BkB0VyBUdHRXIFR0dFcgVHR0VyBUdHRXIFR0dFcgVHQGQHRXIFR0dFcgVHR0VyBUdHRXIFR0dFcgVHR0VyBUdMsgVHR0VyBUdHQGlyBUdHRXIFR0dAaXIFR0dFcgVHR389cgVHR0VyBUdHQGlyBUdHRXIFR0dAaXIFR0dFcgVHR389cgVHR0VyBUdHQGlyBUdHRXIFR0dAaXIFR0dFcgVHR0ABgAAAAAEsARMAA8AHwAvAD8ATwBfAFYAsg0AACuwPDOwBM2wNDKwEy%2BwTDOwHM2wRDKwLS%2BwXDOwJM2wVDIBsGAvsADWsRAgMjKwCc2xFygyMrAJELEwASuxQFAyMrA5zbFIWDIysWEBKwAwMT0BNDY7ATIWHQEUBisBIiYRFBY7ATI2PQE0JisBIgYVPQE0NjsBMhYdARQGKwEiJgE1NDYzITIWHQEUBiMhIiYRNTQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJh0VyBUdHRXIFR0dFcgVHR0VyBUdHRXIFR0dFcgVHQGQHRUCvBUdHRX9RBUdHRUCvBUdHRX9RBUdHRUCvBUdHRX9RBUdMsgVHR0VyBUdHQGlFR0dFcgVHR0VyMgVHR0VyBUdHfz1yBUdHRXIFR0dAaXIFR0dFcgVHR0BpcgVHR0VyBUdHQAAAAEAHQAiBPIEKgAFAAATCQEnAScdAaMDMtT9oc4Bxv5cAzTU%2FaHPAAABAGoAagRGBEYACwAAEwkBNwkBFwkBBwkBagEa%2FubUARoBGtT%2B5gEa1P7m%2FuYBPgEaARrU%2FuYBGtT%2B5v7m1AEa%2FuYAAAMAF%2F%2FsBMQEmQATABsAJwC3ALIOAAArsBIvsBfNsBwvsCMzsB3NsCEyshwdCiuzQBwmCSuyHRwKK7NAHR8JK7AbL7ADzQGwKC%2BwAdawFc2wFRCxJgErsB4ysCXNsCAysiUmCiuzQCUjCSuyJiUKK7NAJhwJK7AlELEZASuwBc2xKQErsSYVERKyAhYbOTk5sCURsBI5sBkSswMXEBokFzmwBRGwBzkAsRcSERKwEDmxHQ4RErMABRUYJBc5sBsRshQZATk5OTAxEhAAIAAVFAcBFhQPAQYiJwEGIyICEBYgNhAmIAM1MzUzFTMVIxUjNRcBHAGQARxOASwHB20IFAj%2B1HeOyIPCARLBwf7uRmTIZGTIAe0BkAEc%2FuTIjnf%2B1AgUCG0HBwEsTgJs%2FvDCwQESwf5ZyGRkyGRkAAADABf%2F7ATEBJoAEwAbAB8AXQCyDgAAK7ASL7AXzbAbL7ADzQGwIC%2BwAdawFc2wFRCxGQErsAXNsSEBK7EZFREStQMCEBIcHSQXObAFEbAHOQCxEg4RErAJObAXEbAQObAbErUBAAcFHB4kFzkwMRIQACAAFRQHARYUDwEGIicBBiMiAhAWIDYQJiADITUhFwEcAZABHE4BLAcHbQgUCP7Ud47Ig8IBEsHB%2Fu5GAZD%2BcAHuAZABHP7kyI15%2FtUHFgdtCAgBLE4CbP7wwsIBEML%2BWcgAAAIAFwAXBJkEsAAbACsARQCwGC%2BwCs0BsCwvsADWsAfNsgcACiuzQAcDCSuwBxCxDAErsBPNsgwTCiuzQAwQCSuxLQErsQwHERKzFxgcIyQXOQAwMRM0EjcVDgEVFBYgNjU0Jic1FhIVFA4CIi4CARQWOwEyNjURNCYrASIGFRfSp2d8%2BgFi%2Bnxnp9Jbm9Xs1ZtbAd0dFWQVHR0VZBUdAli3ASg%2BpjfIeLH6%2BrF4yDemPv7Yt3bVm1tbm9UBDBUdHRUBkBUdHRUABABkAAEEsASxAAMABwALAA8AMACyBAAAK7EIDDMzAbAQL7AE1rAHzbAHELEIASuwC82wCxCxDAErsA%2FNsREBKwAwMTczESMBETMRMxEzETMRMxFkyMgBLMhkyGTIAQEs%2FtQB9P4MAyD84ASw%2B1AAAAIAGgAbBJYElgBHAFEAYgCwEi%2BwUM2wSy%2BwNs0BsFIvsADWsEjNsEgQsU0BK7AkzbFTASuxSAARErELPTk5sE0Rsw8VMzkkFzmwJBKxGS85OQCxUBIRErEHHTk5sEsRswMhJ0UkFzmwNhKxK0E5OTAxExQfAhYfAQcWFzcXFh8CFjMyPwI2PwEXNjcnNzY%2FAjY1NC8CJi8BNyYnBycmLwImIyIPAgYPAScGBxcHBg8CBgU0NjIWFRQGIiYaBpcCDhgDUC08hQUtMQUmKCIbLyYGLi8FhjgwUAMYDwGYBQWYARAXA1AsPIYFLTAGJigiGy8mBTIsBYU7LlADGQ0ClwYBZ36yfn6yfgJZISkmBjEsBYY7LlEDGg0ClwUFlwINGgNRLD2GBSwxBiYoIhwtJgYzKgWGOi9RAxkOAZgFBZgBDhkDUS86hgUvLgYmMBlYfn5YWX5%2BAAAABwBk%2F%2F8EsAUUABkAIwAnACsALwAzADcAiQCyIQAAK7AkzbIoMDQyMjKwJy%2ByKjI2MzMzsBvNsBcvsATNsQ4sMjKwLy%2BwCc0BsDgvsBrWsCTNsCQQsSUBK7AFMrAozbAsMrIlKAors0AlAAkrsCgQsSkBK7AwzbAwELExASuwLTKwNM2wDTKyNDEKK7NANBMJK7A0ELE1ASuwHc2xOQErADAxEzU0NjMhNTQ2MyEyFh0BITIWHQEUBiMhIiYTESERFAYjISImNzMRIxMzESMRITUhEzMRIxMzESNkDwoBEzspASwpOwETCg8OC%2FvmCw5kA4Q7Kf1EKTtkZGTIZGQBLP7UyGRkyGRkBAEyCg9kKTs7KWQPCjILDg78bgMg%2FOApPDwpArz9RAK8ASxk%2B7QCvP1EArwAAAAAAQABAAEFFQTdAAoALACyCQAAK7AEMwGwCy%2BwCdawCM2wCBCxBQErsATNsQwBK7EFCBESsAE5ADAxEwkBIxEhESERIREBApAChMj%2B1P7U%2FtQCWQKE%2FXz9qAGQ%2FnACWAAAAgBkAAAD6ASwAA4AEQAiALIMAAArAbASL7AB1rAGzbIGAQors0AGCAkrsRMBKwAwMTcRNDYzIREhERQGIyEiJgERAWQOCwHbAZAOC%2FyuCw4CWAEsGQR%2BCw7%2BDP1dCw4OAxIBLP7UAAADAAQABASsBKwACwATABkAggCwCi%2BwD82wFC%2BwF82yFxQKK7NAFxUJK7ATL7AEzQGwGi%2BwAdawDc2wDRCxFAErsBfNshcUCiuzQBcZCSuwFxCxEQErsAfNsRsBK7EUDRESswoDDhMkFzmxERcRErMJBA8SJBc5ALEUDxESswcADRAkFzmxExcRErMGAREMJBc5MDESEBIkIAQSEAIEICQSEBYgNhAmIBMRMxEzFQSgARIBRAESoKD%2B7v68%2Fu4W8wFW8%2FP%2BqkdkyAG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP9%2FgGQ%2FtRkAAAAAAL%2FnAAABRQEsAALAA8ALgCyAAAAK7AHM7AKL7AMzbAPL7ADzbIDDwors0ADAQkrsAUyAbAQL7ERASsAMDEjATMDMwMzASEDIwMTMwMjZAGv0RWiFNABr%2F3mKfIoMeAbqgSw%2FtQBLPtQAZD%2BcAH0ASwAAAAAAgAAAAAETASwAAsADwBKALILAAArsAzNsA8vsAnNsAEyAbAQL7AE1rAHzbIEBwors0AEAAkrsAcQsQ0BK7AKzbERASuxBwQRErECCTk5sA0RsQgMOTkAMDExESEBMxEhETMBIRElMzUjAer%2B3sgBLMj%2B3gHq%2FuGvrwGQASwB9P4M%2FtT%2BcMhkAAMAAQABBK8ErwAPABcAHgBjALINAAArsBPNsBcvsAXNAbAfL7AB1rARzbARELEZASuwHM2wHBCxFQErsAnNsSABK7EZEREStA0EEhcYJBc5sBwRsB45sBUStAwFExYdJBc5ALEXExEStQEICQAaHiQXOTAxEjQ%2BAjIeAhQOAiIuARIQFiA2ECYgAzMRMxEzAwFfoN703qBfX6De9N6gXPIBVPLy%2FqxQlsiW%2BgHe9N6gX1%2Bg3vTeoF9foAIC%2Fqzy8gFU8v5kASz%2B1P7UAAMABAAEBKwErAALABMAGgBhALAKL7APzbATL7AEzQGwGy%2BwAdawDc2wDRCxGQErsBjNsBgQsREBK7AHzbEcASuxGQ0RErQKAw4TFCQXObAYEbAVObARErQJBA8SFiQXOQCxEw8RErUBBgcAFRgkFzkwMRIQEiQgBBIQAgQgJBIQFiA2ECYgAxsBIxEjEQSgARIBRAESoKD%2B7v68%2Fu4W8wFW8%2FP%2Bqk%2F6%2BpbIAbYBRAESoKD%2B7v68%2Fu6goAJf%2Fqrz8wFW8%2F5iASz%2B1P7UASwAAAACAAAAAASwBLAACwATACkAsgkAACuwDM2wEDKwEy%2BwAs0BsBQvsRUBKwCxDAkRErIEAQ45OTkwMTUREyEbARQGIyEiJhMzFyE3MwMhyAMgxwEOC%2FuCCw7IyDIBLDLIYf2iGQHbArz9RP4lCw4OAebIyAH0AAMABAAEBKwErAALABUAGABGALAKL7APzbAUL7AEzQGwGS%2BwAdawDM2wDBCxEQErsAfNsRoBK7ERDBEStQQJCgMWGCQXOQCxFA8RErUBBgcAFhckFzkwMRIQEiQgBBIQAgQgJBMUFiA2NTQmIAYBEQUEoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqrzAToBKQG2AUQBEqCg%2Fu7%2BvP7uoKABtKzy8qyr8%2FP%2BigGRyAABABcAFwSZBLAAHABTALAFL7ANzbARL7AZzQGwHS%2BwAdawD82wDxCxCgErsAnNsR4BK7EKDxEStQUEExQXGSQXObAJEbEVFjk5ALERDREStAEACRQVJBc5sBkRsBc5MDESFB4CMj4CNSMUBiAmEDYzMhcHIREHJiMiDgEXW5vV7NWbW5b6%2Fp76%2BrGIbpIBkJGdxnbVmwLO7NWbW1ub1Xax%2BvoBYvpRkgGQkXpbmwAAAAIAFwAABJkEsAAQACEAegCyEQAAK7AfL7AWzbIWHwors0AWGgkrsA0vsAXNsg0FCiuzQA0ACSsBsCIvsADWsBDNsBAQsRkBK7AazbEjASuxEAARErEREjk5sBkRtwcFCwoTFB8hJBc5sBoSsQkIOTkAsRYfERKwITmwDRGxCRI5ObAFErAHOTAxEzQ%2BAjMyFzcRITcmIyIGFQMRIQcWMzI2NTMUDgIjIicXW5vVdsadkf5wk3CHsfpJAZCTcIex%2BpZbm9V2xp0CWHbVm1t6kf5wk1D6sf2oAZCTUPqxdtWbW3oAAAoAZAAABLAEsAADAAcACwAPABMAFwAbAB8AIwAnAFAAsAgvsBgzsAnNsBoysAwvsBwzsA3NsB0ysBAvsCAzsBHNsCEysBQvsCQzsBXNsCUyAbAoL7AI1rIMEBQyMjKwC82yDhIWMjIysSkBKwAwMTMhESETESERJTUzFSc1MxUnNTMVJzUzFRMhNSE9ASEVJTUhFSU1IRVkBEz7tGQDhPzgZGRkZGRkZGQB9P4MAfT%2BDAH0%2FgwB9ASw%2B7QDhPx8ZGRkyGRkyGRkyGRk%2FahkZGRkyGRkyGRkAAIAAAAABEwEsAAZACMASgCyFwAAK7AgL7AJzQGwJC%2BwBdawGs2yBRoKK7NABQAJK7AaELEbASuwDs2yDhsKK7NADhMJK7ElASsAsSAXERKzBA4FGiQXOTAxNRE0NjsBNTQ2MyEyFh0BMzIWFREUBiMhIiYBITU0JisBIgYVOylkdlIBLFJ2ZCk7Oyn8fCk7AZABLB0VyBUdZAJYKTvIUnZ2Usg7Kf2oKTs7AuWWFR0dFQAAAAIAZAAABEwETAADABUAFwCyAAAAKwGwFi%2BwANawA82xFwErADAxMxEzERM%2BAR4CPgE3EQ4BLgMGB2RkZDyHeHxyamQpKHuEkId0WhQETPu0AZA8MA0hGwVPUQH0UUUKKCgKRVEAAAAAAwAAAAAEsASXACEAMQBBAGcAsi8AACuwPjOwJs2wNjKwDC%2BwHc0BsEIvsADWsAfNsAcQsSIBK7ArzbArELEyASuwO82wOxCxEAErsBfNsUMBK7EyKxESswwLHRwkFzkAsSYvERK0BxATFAMkFzmwDBGxCA85OTAxERQWOwEyNjURND4BIB4BFREUFjsBMjY1ETQuAiIOAhUTETQ2OwEyFhURFAYrASImJRE0NjsBMhYVERQGKwEiJg4LMgsOjeQBBuSNDgsyCw5jo97o3qNjyAwIoAgMDAigCAwCWAwIoAgMDAigCAwBEwsODgsBLH%2FRcnLRf%2F7UCw4OCwEsdN6jY2Oj3nT91QHMCAwMCP40CAwMCAHMCAwMCP40CAwMAAAAAgAAAMgEWAPoAAUAEQAAESEFEQUhATcnNxc3FwcXBycHASwBLP7U%2FtQCsI2NR42NR42NR42NAZDIAyDI%2FquNjUeNjUeNjUeNjQAAAAIAAADIA3AD6AAFAA8AEgABsBAvsA7WsAnNsREBKwAwMREhBREFISU3FhUUByc2NTQBLAEs%2FtT%2B1AK8RW9qQ1YBkMgDIMg5NYevqYU2boqSAAAAAAMAAAC6BGID9wAFAA8AHQA8ALAAL7ABzQGwHi%2BwDtawCc2wCRCxEwErsBrNsR8BK7ETCRESsxAWFx0kFzkAsQEAERKzCQ4TGiQXOTAxGQEhJRElATcWFRQHJzY1NDcXFhUUDwEXNzY1NC8BASwBLP7UAZJFb2pDVl4He3cHUQaOkAYBkQGQyPzgyAHJNYevqoU3boqRzQiXwb2WCEIIsuPmsggADQAAAAAEsASwAAcAEQAVABkAHQAhAC8AMwA%2FAEMARwBLAE8BAQCyAAAAK7EwRDMzsBLNsikxRTIyMrAaL7InK0wzMzOwG82yJS1NMjIysCIvsQIGMzOwI82wCDKwHi%2BxDkgzM7AhzbE0STIyAbBQL7Aa1rEFHjIysB3NsQMfMjKwHRCxMAErsQ0sMjKwM82wNTKwMxCxLgsrsCoysCXNsEAysi4lCiuzQC4iCSuyAQsPMjIysCUQsTcBK7FESDIysDvNsSZKMjKwOxCxTAErsEIysE%2FNsjk9RjIyMrFRASuxMB0RErUUFRgZND8kFzmxNyURErIoKTg5OTkAsSIbERKzExQ4OSQXObAjEbIEOjs5OTmwHhJACQUWGTY3PD1AQyQXOTAxMSERIzUjFSM1MzUhNTM1IxEhExEhEQERIREDNTMVAzM1IwE1IREzFSMVIzUjNTM1AzUzFQMzETMRITUjNTMRIRMRIREDNSEVATUzFRM1MxUB9MhkyGQBkGRk%2FgxkASz%2B1AEsyGRkZGQBLAEsyGTIZGRkZGRkyAEsyMj9qMgBLMgBLP7UZGRkAfRkZGRkZGQBLPu0ASz%2B1AK8ASz%2B1P2oZGQCvGT%2BDGT%2B1GRkZGTI%2FgxkZAPo%2FtT%2B1MhkAfT%2BcAEs%2FtT84GRkA4RkZP1EZGQAAAAACQAAAAAEsASwAAMABwALAA8AEwAXABsAHwAjAHAAsgwAACuyBBQcMzMzsA3NsRUdMjKyDAAAK7AFzQGwJC%2BwCNawC82wCxCxEAErsAwysBPNsA%2FNsBMQsRQLK7AXzbAXELEYCyuwG82wGxCxIAErsCPNsSUBK7EQCxESsQcGOTmxGxcRErEcHTk5ADAxNTMRIxM1IRUnETMRFzUzFScRMxEVNTMVNREzERU1MxUnETMRZGRkASzIZMhkZMhkZMhkyMgD6PtQZGTIA%2Bj8GMhbW8gD6PwYyFtbyAPo%2FBjIW1vIA%2Bj8GAAAAAIAAAAABLAEsAAHABMAKQCyBwAAK7ASL7AEzQGwFC%2BwAdawCc2xFQErALESBxESsgAGCzk5OTAxERM0NjMhCQEAFBcWMjc2NCcmIgcBDwoB2gK8%2Fgz92B0eUx4dHR5THgK8AdsKD%2F1E%2FgwD41QdHh4dVB0eHgAAAAMAAQAABd0EsAAHABMAGQAxALIHAAArsBczsBIvsATNsBQyAbAaL7AB1rAJzbEbASsAsRIHERK0AAYLFhkkFzkwMRsBNDYzIQkBABQXFjI3NjQnJiIHJTMJAScBAQEOCwHaArz%2BDP3XHh1UHR4eHVQdAgtkArz%2BDDIBwgK8AdsLDv1E%2FgwD41QdHh4dVB0eHrD9RP4MMgHCAAAAAAEAZAAABLAEsAAKAD8AsgAAACuwBy%2BwAs0BsAsvsADWsArNsAoQsQUBK7AEzbEMASuxCgARErICBwg5OTkAsQcAERKyAQQFOTk5MDEzETchEQcRIQchEWSvA51k%2FRJkAu4EAa%2F8GGQD6GT8GAAAAAABAMgAAARMBLEACgAAMwkBETQmIyEiBhXIAcIBwh0V%2FOAVHQG8%2FkUEfhQeHhQAAAADAAAAAASwBLAACwAXACcAWQCyJQAAK7AczbAKL7ADzbIKAwors0AKAAkrsAcysgMKCiuzQAMBCSuwBTIBsCgvsADWsAvNsAIysAsQsQgBK7AFMrAHzbEpASuxCAsRErMMDyciJBc5ADAxNREzFyE3MxEjNSEVExchNwMuASMhIgYHAzc%2BATMhMhYfARYGIyEiJshkAlhkyMj84DUoAlA%2BXgIQCv4%2BChACQiYCEwoB9AoTAiYCCwr9qAoLZAK8yMj9RMjIAtl8fAFaCw4OC%2FuBmAoODgqYCg4OAAAABAAAAGQEsARMAB0AJQAtADEAbwCwAy%2BwJc2wKS%2BwLc2wIS%2BwE80BsDIvsADWsB%2FNsh8ACiuzQB8vCSuwHxCxJwErsCvNsTMBK7EfABESsBk5sSsnERKzISQlICQXOQCxLSkRErMfIiMeJBc5sCERsS4xOTmwExK0CxkaLzAkFzkwMTUUFjMhMjY1ETQmKwEuBCsBIg4CDwEjIgYVADQ2MhYUBiICFBYyNjQmIiU1MxU7KQPoKTs7KZYEDzM3UyrIKVI6LgsMlik7AWSQyJCQyAY%2BWD4%2BWAFYZMgpOzspAlgpOwgbRTUrKTs7FRQ7Kf5wyJCQyJABIFg%2BPlg%2BXmRkAAIANQAABLAErwAeACIAHgCyAAAAK7ANM7AezbICDA8yMjIBsCMvsSQBKwAwMTMhNSIuAT8BIRcWBiMVITUmJy4BLwEBIwEGBw4BDwEBExcTNQFtKT4kE1wBh1IQKzUBoSIoEh4GBv5%2FXf5xGBwMKg8PAWuyLnRCFjYs6t4tV0JCASoTLg4NA%2Bb8EjAbDBoHBwHHAcmM%2FsMAAwBkAAADwwSwACAAKQAxAGUAsiAAACuwIc2yIAAAK7ABzbApL7AqzbAxL7ANzbANELALzQGwMi%2BwBNawIc2wKjKwIRCxLgErsBDNsCUg1hGwHM2xMwErsSUuERKwFjkAsSkhERKwHDmwKhGwFjmwMRKwEDkwMTM1PgE1ETQuAyc1BTIWFRQOAg8BHgQVFA4BIyczMjY1NCYrATUzMjY1NCYjZCk7AgkWJB8B13i6FyEiCwwIG0U0K3amT8ihWYB9Xp%2BLTGyom1kHMygDOxwXHQ0PB0cBsIw3XTcoCAcDDDNBdkZUkU3IYVRagWR7TVJhAAAAAAEAyAAAA28EsAAZACAAsgAAACuwAc2wGDKwCy%2BwDjOwDM0BsBovsRsBKwAwMTM1PgE3EzYmJy4BJzUhFw4DDwEDBhYXFchNcwitCihHBgkFAakCIToiGQUFgAowRzkHQy8DUTgkEwEDATk5CCMnJQwM%2FMc0PAY5AAL%2FtQAABRQEsAAJACUAfgCyGwAAK7AfL7ICBRYzMzOwDM2yHwwKK7NAHxAJK7AKMgGwJi%2BwAdawB82wBxCxCgErsCXNsCUQsR0BK7AYzbIYHQors0AYGgkrsh0YCiuzQB0bCSuwGBCxEAErsA%2FNsScBK7EKBxESsQUIOTkAsR8bERKwCTmwDBGwBDkwMSczESM3FyMRMwcTETMhMxEjNC4DKwERFxUhNTcRIyIOAxVLS0t9fUtLffqWAryWMhAVLiEiyGT%2BcGTIIiEvFBHIAyCnp%2FzgpwNjASz%2B1B0nFQkC%2FK4yZGQyA1ICCRUnHQAAAAIAIf%2B2BI8EsQAJACUAiQCyCAAAK7ACzbAfL7AWM7AMzbIfDAors0AfCgkrsA8yAbAmL7AK1rAlzbAlELEdASuwGM2yGB0KK7NAGBoJK7IdGAors0AdGwkrsBgQsRABK7APzbEnASuxHSURErMCCAkBJBc5sRAYERKzBAYHAyQXOQCxAggRErEABTk5sB8RsgEEGjk5OTAxPwEVITUXBzUhFQMRMyEzESM0LgMrAREXFSE1NxEjIg4DFSGnAyCnp%2FzgZJYCvJYyEBQvISLIZP5wZMgiIS4VEDN9S0t9fUtLA88BLP7UHScVCQL9djJkZDICigIJFScdAAAAAAQAAAAABLAETAAPAB8ALwA%2FAAA1FBYzITI2PQE0JiMhIgYVNRQWMyEyNj0BNCYjISIGFTUUFjMhMjY9ATQmIyEiBhU1FBYzITI2PQE0JiMhIgYVHRUETBUdHRX7tBUdHRUDIBUdHRX84BUdHRUD6BUdHRX8GBUdHRUCWBUdHRX9qBUdMhQeHhRkFR0dFcgUHh4UZBUdHRXIFB4eFGQVHR0VyBQeHhRkFR0dFQAEAAAAAASwBEwADwAfAC8APwAANRQWMyEyNj0BNCYjISIGFREUFjMhMjY9ATQmIyEiBhUTFBYzITI2PQE0JiMhIgYVERQWMyEyNj0BNCYjISIGFR0VBEwVHR0V%2B7QVHR0VBEwVHR0V%2B7QVHcgdFQK8FR0dFf1EFR0dFQK8FR0dFf1EFR0yFB4eFGQVHR0VAfQUHh4UZBUdHRX%2BcBQeHhRkFR0dFQH0FB4eFGQVHR0VAAQAAAAABLAETAAPAB8ALwA%2FACYAsg0AACuwBM2wLS%2BwJM2wHS%2BwFM2wPS%2BwNM0BsEAvsUEBKwAwMT0BNDYzITIWHQEUBiMhIiYTNTQ2MyEyFh0BFAYjISImEzU0NjMhMhYdARQGIyEiJhM1NDYzITIWHQEUBiMhIiYdFQRMFR0dFfu0FR1kHRUD6BUdHRX8GBUdyB0VAyAVHR0V%2FOAVHcgdFQJYFR0dFf2oFR0yZBUdHRVkFB4eAmxkFR0dFWQUHh7%2B6GQVHR0VZBQeHgJsZBUdHRVkFB4eAAQAAAAABLAETAAPAB8ALwA%2FACYAsg0AACuwBM2wHS%2BwFM2wLS%2BwJM2wPS%2BwNM0BsEAvsUEBKwAwMT0BNDYzITIWHQEUBiMhIiYRNTQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJhE1NDYzITIWHQEUBiMhIiYdFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0yZBUdHRVkFB4eAUBkFR0dFWQUHh4BQGQVHR0VZBQeHgFAZBUdHRVkFB4eAAAAAAgAAAAABLAETAAPAB8ALwA%2FAE8AXwBvAH8AUgCyDQAAK7BMM7AEzbBEMrAdL7BcM7AUzbBUMrAtL7BsM7AkzbBkMrA9L7B8M7A0zbB0MgGwgC%2BwANayECAwMjIysAnNshgoODIyMrGBASsAMDE9ATQ2OwEyFh0BFAYrASImETU0NjsBMhYdARQGKwEiJhE1NDY7ATIWHQEUBisBIiYRNTQ2OwEyFh0BFAYrASImATU0NjMhMhYdARQGIyEiJhE1NDYzITIWHQEUBiMhIiYRNTQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJh0VZBUdHRVkFR0dFWQVHR0VZBUdHRVkFR0dFWQVHR0VZBUdHRVkFR0BLB0VAyAVHR0V%2FOAVHR0VAyAVHR0V%2FOAVHR0VAyAVHR0V%2FOAVHR0VAyAVHR0V%2FOAVHTJkFR0dFWQUHh4BQGQVHR0VZBQeHgFAZBUdHRVkFB4eAUBkFR0dFWQUHh78kGQVHR0VZBQeHgFAZBUdHRVkFB4eAUBkFR0dFWQUHh4BQGQVHR0VZBQeHgAABv%2BbAAAEsARMAAYACgAaACoAOgBKACAAsAAvsCYzsAHNsC4yAbBLL7FMASsAsQEAERKwBDkwMQM1MzUXBzUTMxEjExQWMyEyNj0BNCYjISIGFTUUFjMhMjY9ATQmIyEiBhU1FBYzITI2PQE0JiMhIgYVNRQWOwEyNj0BNCYrASIGFWXJpqbIZGTIHRUCWBQeHhT9qBUdHRUBLBQeHhT%2B1BUdHRUB9BQeHhT%2BDBUdHRVkFB4eFGQVHQH0ZEt9fUv%2BDARM%2B%2BYUHh4UZBUdHRXIFB4eFGQVHR0VyBQeHhRkFR0dFcgUHh4UZBUdHRUAAAAABgABAAAFFQRMAA8AHwAvAD8AQwBKABcAskAAACsBsEsvsEDWsEPNsUwBKwAwMTcUFjMhMjY9ATQmIyEiBhU1FBYzITI2PQE0JiMhIgYVNRQWMyEyNj0BNCYjISIGFTUUFjsBMjY9ATQmKwEiBhUBETMRExc1MzUjNQEdFQJYFB4eFP2oFR0dFQEsFB4eFP7UFR0dFQH0FB4eFP4MFR0dFWQUHh4UZBUdAyBkIafIyDIUHh4UZBUdHRXIFB4eFGQVHR0VyBQeHhRkFR0dFcgUHh4UZBUdHRX75gRM%2B7QCJn1LZEsAAgAAAMgEsAPoAA8AEgAtALANL7AEzbAEzQGwEy%2BwANawCc2xFAErsQkAERKwEDkAsQQNERKxERI5OTAxGQE0NjMhMhYVERQGIyEiJgkBESwfAu4fLCwf%2FRIfLAOEASwBEwKKHywsH%2F12HywsAWQBLP2oAAADAAAAAASwBEwADwAXAB8AWQCyDQAAK7AfL7AbzbAXL7AEzQGwIC%2BwANawEM2wEBCxGQErsB3NsB0QsRUBK7AJzbEhASuxHRkRErARObAVEbETEjk5ALEfDRESshATFTk5ObAbEbAUOTAxNRE0NjMhMhYVERQGIyEiJj8BBScBExEhEjQ2MhYUBiIaEgRYExkZE%2FuoEhpk9wEqSgEl7PwYbE5wTk5wLAP0EhoaEvwMEhoa7baDnAE%2B%2FuAB9P7OcE5OcE4AAgCU%2F%2FMEHAS9ABQAHgA9ALINAAArsB0vsATNAbAfL7AA1rAVzbAVELEbASuwCM2xIAErsRsVERKxDQQ5OQCxHQ0RErIHABg5OTkwMRM0PgEzMh4BFAcOAQ8BLgQnJjcUFjMyNjQmIgaUedF6e9B5SUm7OTkKImNdcys%2Fwpdqa5eX1pYC6XzXgX7V9pVy9kJCCSJrb6BLi5Zrl5fWlpcAAAIAAQABBK8ErwAPABUASQCyDQAAK7ATzbAUL7AFzQGwFi%2BwAdawEc2wERCxEwErsAnNsRcBK7ETERESsQ0EOTmwCRGxBQw5OQCxFBMRErMBCAkAJBc5MDESND4CMh4CFA4CIi4BEhAWMxEiAV%2Bg3vTeoF9foN703qBN%2B7CwAd703qBfX6De9N6gX1%2BgAgn%2BnvoDVgACAHUABAPfBQ8AFgAlAAATND4DNx4GFRQOAgcuAjceARc3LgInJjY%2FAQ4BdURtc3MeFUlPV00%2FJU5%2Bmk9yw4B%2BDltbEAcWLgoPAgkJXDcBll64oZ3FYEePdndzdYZFWZlkOwQGXrh%2BUmwaYgYWSihJjTQzbpYAAAADAAAAAATFBGgAHAAhACYAVwCyGgAAK7APzbAIL7AEzQGwJy%2BwANawDM2wDBCxEwErsBbNsSgBK7ETDBESswYdHiAkFzmwFhGxHyI5OQCxCA8RErMVHR8hJBc5sAQRsyAiIyUkFzkwMRkBNDYzBBcHISIGFREUFjMhMjY9ATcVFAYjISImJTcBJwkBFzcvAeulAW4fuv7JKTs7KQH0KTvI66X%2B1KXrAbShAZxy%2FmsB%2BXFxFVwBkAEspesGCLo7Kf4MKTs7KX3I4aXr62oyAZxx%2FmsB%2BHFxVRwAAAAAAgAAAAAElQRMABwALgBIALIaAAArsBDNsCIvsCfNsAkvsATNsAQQsAbNAbAvL7AA1rANzbEwASsAsSIQERKyFR0kOTk5sQkaERKwJTmxBAYRErAmOTAxGQE0NjMhFwYHIyIGFREUFjMhMjY1NxUUBiMhIiYBPgMfARUJARUiDgXrpQEFAoVVkSk7OykB9Ck7yOul%2FtSl6wGnHmdnXx4dAWj%2BmQcYSENWQzkBkAEspetQIFg7Kf4MKTs7KZk1pevrASEmNBMJAQHRAUQBPtgCDhczQ20AAAAAAgAAAAAEqARMAB0AIwBSALIbAAArsBDNsAkvsATNAbAkL7AA1rANzbANELEUASuwF82xJQErsRQNERKzBx4fIiQXObAXEbAhOQCxCRARErMWHyIjJBc5sAQRsSAhOTkwMRkBNDYzITIXByEiBhURFBYzITI2PQE3FRQGIyEiJgkCJwEn66UBLD1Csv6jKTs7KQH0KTvI66X%2B1KXrAVYBGwI3if5SkgGQASyl6xexOyn%2BDCk7OylFyKml6%2BsBjf7kAjeJ%2FlGTAAABAAAAAQSwBLEAFwBFALISAAArsBYvsA4zsALNsAkyAbAYL7AU1rADMrAQzbAIMrEZASuxEBQRErEGEjk5ALEWEhESsQ0XOTmwAhGxAAw5OTAxEQEVMzUjCQEjFTM1CQE1IxUzCQEzNSMVASzIyAEsASfDyAEs%2FtTIw%2F7Z%2FtTIyAJbASjGyAEs%2FtTIxv7Y%2FtTGyP7UASzIxgAAAAABAMgAAAOEBEwAEwAdALIRAAArsAszAbAUL7AA1rANzbAIMrEVASsAMDE3ETQ2OwEyFhURAREBERQGKwEiJsgdFWQVHQH0%2FgwdFWQVHTID6BUdHRX%2BSwHn%2B7QB6P5KFR0dAAAAAQAAAAAEsARMABcAHwCyFQAAK7ENDzMzAbAYL7AA1rARzbAIMrEZASsAMDE1ETQ2OwEyFhURAREBEQERAREUBisBIiYdFWQVHQH0AfT%2BDP4MHRVkFR0yA%2BgVHR0V%2FksB5%2F4ZAef7tAHo%2FhgB6P5KFR0dAAABAIgAAASwBEwABgAUALIGAAArsAQzAbAHL7EIASsAMDETAREBEQERiAI0AfT%2BDAImAib%2BGQHn%2B7QB6P4YAAAAAQDIAAAETARMAAIAADMJAcgDhPx8AiYCJgAAAAIAyABkA4QD6AAPAB8AADcUFjsBMjY1ETQmKwEiBhUBFBY7ATI2NRE0JisBIgYVyB0VyBUdHRXIFR0BkB0VyBUdHRXIFR2WFR0dFQMgFR0dFfzgFR0dFQMgFR0dFQAAAAEAyABkBEwD6AAPAAA3FBYzITI2NRE0JiMhIgYVyB0VAyAVHR0V%2FOAVHZYUHh4UAyAVHR0VAAAAAQAAAAAEKARMAAYAFACyAAAAK7AFMwGwBy%2BxCAErADAxMREBEQkBEQH0AjT9zARM%2FhkB5%2F3a%2FdoB6AAAAQAAAAAEsARMABcAHwCyAAAAK7EQFjMzAbAYL7AU1rAEMrANzbEZASsAMDExEQERARE0NjsBMhYVERQGKwEiJjURAREB9AH0HRVkFR0dFWQVHf4MBEz%2BGQHn%2FhkBtRUdHRX8GBUdHRUBtv4YAegAAAEBLAAAA%2BgETAATAB0AsgAAACuwDjMBsBQvsBLWsAIysAvNsRUBKwAwMSERARE0NjsBMhYVERQGKwEiJjURASwB9B0VZBUdHRVkFR0ETP4ZAbUVHR0V%2FBgVHR0VAbYAAAIAZADIBLAEKAAPABIAEgCwDS%2BwBM0BsBMvsRQBKwAwMTc1NDYzITIWHQEUBiMhIiYRIQFkHRUD6BUdHRX8GBUdBEz92vpkFR0dFWQVHR0BDwI0AAEAuQAHA%2FkEqQAFAAATATcJASe5AlDw%2Fp8BYfACV%2F2w8AFhAWHwAAABARD%2F0gRSBHQACAAAJQkBNwEXBxUBARABYf6f8QI8FQH9sMIBYQFh8P3FFgEB%2FbEAAAAAAgADAAMErQStAAsAFwBCALAKL7AOzbAVL7AEzQGwGC%2BwAdawDM2wDBCxEQErsAfNsRkBK7ERDBESswQJCgMkFzkAsRUOERKzAQYHACQXOTAxEhASJCAEEhACBCAkEzMVMzUzNSM1IxUjA6ABEwFEAROgoP7t%2Frz%2B7YnIyMjIyMgBtgFEAROgoP7t%2Frz%2B7aCgAVHIyMjIyAACAAMAAwStBK0ACwAPAEkAsAovsAzNsA8vsATNAbAQL7AB1rAMzbAMELENASuwB82xEQErsQ0MERKzBAkKAyQXOQCxDAoRErEHADk5sQQPERKxAQY5OTAxEhASJCAEEhACBCAkEyE1IQOgARMBRAEToKD%2B7f68%2Fu2JAlj9qAG2AUQBE6Cg%2Fu3%2BvP7toKABUcgAAAAAAgADAAMErQStAAsAFwAyALAKL7AEzbAEzQGwGC%2BwAdawB82wB82xGQErsQcBERKxDBA5OQCxBAoRErENFTk5MDESEBIkIAQSEAIEICQTFzcXNyc3JwcnBxcDoAETAUQBE6Cg%2Fu3%2BvP7tU9WNjdWOjtWNjdSNAbYBRAEToKD%2B7f68%2Fu2goAEo1Y6O1Y2N1I2O1Y0AAAIAAwADBK0ErQALABEAMgCwCi%2BwBM2wBM0BsBIvsAHWsAfNsAfNsRMBK7EHARESsQwOOTkAsQQKERKxDQ85OTAxEhASJCAEEhACBCAkEwkBJwcnA6ABEwFEAROgoP7t%2Frz%2B7WsBFAGbr%2BxmAbYBRAEToKD%2B7f68%2Fu2goAGE%2FusBm67sZgAAAAADAAMAAwStBK0ACwA4ADwAbACwCi%2BwOc2wPC%2BwJ82wIS%2BwG82wNC%2BwBM0BsD0vsBLWsB7NsB4QsS4BK7AHzbE%2BASuxHhIRErEhNDk5sC4RtAkEKDo7JBc5ALEnPBESsQcAOTmwIRGwKjmwGxKyDA8uOTk5sDQRsQYBOTkwMRIQEiQgBBIQAgQgJBMzMhYyNjQ%2BBToBMzIWFRQGBw4EFzM%2BBDU0LgMjIg4CEzM1IwOgARMBRAEToKD%2B7f68%2Fu3JjwQPBwYCBQIJBA4EEwMTFggXBQ8nHRgByAUSLSIcIzFEMRsyUUUmiMjIAbYBRAEToKD%2B7f68%2Fu2goAIZAgYMCgcFAwIBFBAWDBABBBcfPSYDCikyWDIzTCgYBhg1YP4uZAADAAMAAwStBK0ACwAVABkAOwCwCi%2BwDM2wFS%2BwDjOwEs2wES%2BwFs2wGS%2BwBM0BsBovsRsBKwCxEhURErEHADk5sRYRERKxBgE5OTAxEhASJCAEEhACBCAkNyE1IxEhFTMVIxMzNSMDoAETAUQBE6Cg%2Fu3%2BvP7t7QGQZP7UZGRkyMgBtgFEAROgoP7t%2Frz%2B7aCgiWQBLGTIAZBkAAACAAAAAASwBLAAGAAvAGkAshQAACuwEi%2BwH82wHDKwAC%2ByDhkhMzMzsAHNsgwjLTIyMgGwMC%2BwFNayBRwpMjIysBPNsgceJzIyMrExASuxExQRErMiIy4vJBc5ALESFBESsBU5sQAfERKwHTmwARGyHigpOTk5MDERNTM%2BATc1MxUeAhczFSMOAQcVIzUuASczHgEXNTMVNjcjNTMuAScVIzUOAQczFcMfh4vINnZrEsvLGbdZyIyIHmAYb0vIlTTJyBllSshLbhjRAfTIfZUayMgUUINFyGaoIcXFG5d9SW0Yzs4wnshKahjMyxdsSMgAAAAAAwAEAAQErASsAAsAEwAfAEYAsAovsA%2FNsBMvsATNAbAgL7AB1rANzbANELERASuwB82xIQErsRENERK1BAkKAxQaJBc5ALETDxEStQEGBwAXHSQXOTAxEhASJCAEEhACBCAkEhAWIDYQJiADNyc3FzcXBxcHJwcEoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqpJh4dth4dth4dth4cBtgFEARKgoP7u%2Frz%2B7qCgAl%2F%2BqvPzAVbz%2FduHh22Hh22Hh22HhwAAAAMABAAEBKwErAALABMAGQBGALAKL7APzbATL7AEzQGwGi%2BwAdawDc2wDRCxEQErsAfNsRsBK7ERDREStQQJCgMUGCQXOQCxEw8RErUBBgcAFxkkFzkwMRIQEiQgBBIQAgQgJBIQFiA2ECYgAzcXNxcBBKABEgFEARKgoP7u%2Frz%2B7hbzAVbz8%2F6qa41XzI7%2BpgG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP%2BI41XzY7%2BpwAAAAMABAAEBKwErAALABMAGwBGALAKL7AWzbARL7AEzQGwHC%2BwAdawDM2wDBCxGQErsAfNsR0BK7EZDBEStQQJCgMPFCQXOQCxERYRErUBBgcADhskFzkwMRIQEiQgBBIQAgQgJBMUFwEmIyIGExYzMjY1NCcEoAESAUQBEqCg%2Fu7%2BvP7uFj4COGR0q%2FPNYXCr8zsBtgFEARKgoP7u%2Frz%2B7qCgAbRzZAI3PvP98jvzq3BhAAAAAAEAAABjBLAD6AAGABoAsAUvsALNAbAHL7EIASsAsQIFERKwADkwMREBESERIRECWAJY%2FagCIwHF%2FtT%2B1P7TAAABAAAAYwSwA%2BgABgAaALAAL7ABzQGwBy%2BxCAErALEBABESsAQ5MDEZASERCQERAlgCWP2oAZABLAEs%2Fjv%2BQAEtAAAAAAEAzAAABEoEsAAGAB8AsgUAACsBsAcvsAXWsATNsQgBK7EEBRESsAE5ADAxEwkBIREhEcwBwgG8%2Ftb%2B1AJYAlj9qP2oAlgAAAEAaAAAA%2BYEsAAGAB8AsgYAACsBsAcvsAHWsATNsQgBK7EEARESsAY5ADAxEyERIREhAWgBKAEsASr%2BPwJYAlj9qP2oAAAAAAEAAADHBLAETAANAAA1PgM3EQkBEQ4DBkaJ55wCWP2oX7CkgsiE1a1nCAEP%2Fjv%2BQAEtAiREdQAAAgAAAAAEsASwAAYADQARALIAAAArAbAOL7EPASsAMDExERcBFwEXExcBFxEhF4EBJo7%2B2oHrjgEmgf5wgQGQgQEmjv7agQMJjgEmgQGQgQACACIAIwSOBI4ABgANAAA3ASchEScJAREXARcBFyIBJ4EBkIH%2B2QGogQEnjv7ZgbABJ4H%2BcIL%2B2QI1AZCBASeN%2FtmCAAMAFwAXBJkEmQAPAB8AIwBPALANL7AgzbAjL7AUzbAdL7AFzQGwJC%2BwAdawEM2wEBCxGQErsAnNsSUBK7EZEBEStQUMDQQhIyQXOQCxFCMRErEJADk5sB0RsQgBOTkwMRI0PgIyHgIUDgIiLgEBEx4BOwEyNjcTNiYrASIGEzM1Ixdbm9Xs1ZtbW5vV7NWbAVY6BCMUNhQjBDoEGBTPFRgwyMgB4uzVm1tbm9Xs1ZtbW5sCRv7SFB0dFAEuFB0d%2FcVkAAAFAAAAAASwBLAAJgAqADAANAA7ADQAsicAACuwMTOwKs2wMjIBsDwvsDHWsAUysDTNsAcysT0BK7E0MREStAsMEzU6JBc5ADAxETMVIREzESE1MzUjNjQmLwEuASMiDwEGByYvASYjIgYPAQ4BFBUjEyERIRMiNj8BFxMRIREBNx4DI2QBkMgBkGRvAQMCIgs9JyAd7xYSExXuIR0nPQojAgJvZAGQ%2FnBkAyITEtXbAZD%2Bj8oFDiASAgMgyAEs%2FtTIZAELEwisJzARkA0WGAyQEi4msQgUCgH8fAGQAfRgMC%2B%2F%2FHwBkP5wA4TFDClXOQACAAD%2F6gSvBLAAGwAyABcAsgAAACsBsDMvsCfWsA%2FNsTQBKwAwMRU1Ny4CPgE3PgU3FAIOBC4CIwc2Fjc2JT4DNz4BJyYiBgcOAQ8BBAfYCQgDFTguL2llmonoaCxKaHGDeHtcUw9jEidDNwE4RmFrWykWBAgHFCERI509Pf6PWRaPwTU8gGKCOzxVMy0eOR69%2FszQm1UzCQYTDzd%2FDVNCqCY%2FX4BUMhQJBR0ZM3MgIMXMAAABAG8ADAREBOcASAAjAAGwSS%2BwAdawRc2wRRCxPAErsUoBK7E8RRESsTo2OTkAMDESFBceARcWPgM3PgEnHgEHDgEHDgQeAT4BNz4ENzYCJxYXFicmJy4CNw4EFx4DDgQHBi4CNw4BbwUJRkYfQjo4KA8gDhRPVhEFHxYKCQ8DAwgOGSQYOURrQ0APJqWkFhUnRw8ST1MFMw0qZ0ouDwIMBAgBAQsQGhImOhcHDjQ%2FAblCHjh%2FLRUKJT49HkLtJ1CoZCFJLBMUIA8XCAsBBAYUHD1DbkOsAVNtLFWfBQIHIYbZlQgfZm2nUww7GzQbKBcZEAQKLk1WIC5uAAAD%2F8MAfQTtBDMAIQA%2FAEcAQwCwGi%2BwKc2wOi%2BwCc0BsEgvsDzWsDfNsUkBK7E3PBESQAoJGRoIKSg1PkBDJBc5ALEJOhEStwARJC41PkJHJBc5MDEDNz4GMh4FHwEHDgYiLgUnNx4FMj4ENy4EJxYVFAYiJjU0NwYXFhc3LgEvAT0aBhxGT3N2k5CTdnNPRhwGGhoGHEZPc3aTkJN2c09GHAabB0MtW1R6gHdSWSxICwE3HTo5HjGw%2BLAuZoUxaWklTBMUAlgoCihXVGBHLy9HYFRXKAooKAooV1RgRy8vR2BUVygKKApgPV44KygzXDtoDgFJJUU6GUpZfLCwfFVJV3N8Q2kYYCQkAAAABP%2FDAAAE7QSwABYAIAApAEEAoQCyDwAAK7AOMwGwQi%2BxQwErsDYauj3v790AFSsKsA8uDrAMwAWxDgH5DrANwLAPELMLDwwTK7MQDwwTK7MZDwwTK7MaDwwTK7MkDwwTK7MlDwwTK7IQDwwgiiCKIwYOERI5sBk5sBo5sCQ5sCU5sAs5ALcLDA0QGRokJS4uLi4uLi4uAUAKCwwNDg8QGRokJS4uLi4uLi4uLi6wQBoBADAxAzc%2BBjMyFzczASM3LgQnNxIXNy4BNTQ3BhcWFz8BLgEvAQE3PgY3Jic3HgIfAQcOBD0aBhxGT3N2k0g9PCWU%2FsaUJVKmcmknCpvStyVrjy5mhTFpLxceOg8OASgmFi0vIjATLwFhKydDgS4NGhoHJVplkwJYKAooV1RgRy8RjvtQjxVlZ3k4Dyj%2B5jaNEqduVUlXc3xDL1ccUhsa%2FaeRDyYyJj8YQAJ%2FMJI2j0AUKCgMNGtiZgAAAAP%2FngAABRIErAALABIAFwAAJhYzITI2JwEuAQcBNwkBITUjFREbATUjbxslBQ4lGxX9fhQ4FP1%2B9QG9Ab3%2Bp8hkZMhEREcgBCAiBSD71mQC0%2F0tZGQBkP7UASxkAAAAAAEAZAAVBLAEsAApAEgAsB4vsAnNAbAqL7Al1rAFMrAWzbALMrIWJQors0AWGAkrsiUWCiuzQCUjCSuxKwErsRYlERKxHR45OQCxCR4RErEWJTk5MDETNTQ2NwERNDYyFhURAR4BHQEUBiclERYdARQGLwEjBwYmPQE0NxEFBiZkFg8Ba1h8WAFrDxYYEf6ZZBoTXt5eExpk%2FpkRGAEGKRQxDgFFAVM%2BWFg%2B%2Fq3%2Buw4xFCkUDQz5%2FvlbFkAUEQlOTgkRFEAWWwEH%2BQwNABEAAAAABEwEsAAJABsAHwAjACcAKwAvADMANwA7AD8AQwBHAEsATwBTAFcAADUUFjMhMjY1ESE1ITU0JisBNSMVITUjFSMiBhUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUdFQPoFR37tARMHRWWZP4MZJYVHWRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZDIUHh4UAu5klhUdZGRkZB0V%2FEpkZMhkZMhkZP5wZGTIZGTIZGT%2BcGRkyGRkyGRk%2FnBkZMhkZMhkZP5wZGTIZGTIZGQAAAMAAAADBXgErgAKABAAGQBBALAAL7AYM7ABzbATMrALL7AIM7AQzbADMgGwGi%2BxGwErALEBABESsREWOTmwCxGzBw0SFSQXObAQErEGDjk5MDE9ASEBMzUJATUjCQEhFzcnIQE3FzM1CQE1IwEDAljxASz%2B1J%2F9qP6rAQN6jbX%2BqwKmjXqfASz%2B1PHIyAJYxv7Z%2FtTF%2FagCWHqOtP2VjnvG%2Ftn%2B1MUAAAEAAAAABLAETAASABoAsg4AACuwEC%2BwDDOwBM0BsBMvsRQBKwAwMRkBNDYzITIWFREUBiMhAREjIiY7KQPoKTs7Kf2s%2FtBkKTsBkAJYKTs7Kf2oKTv%2B1AEsOwAAAwBkAAAETASwACUAKQAtAGAAsh8AACuwCc2yCR8KK7NACQEJK7AVMrAmL7AqM7AnzbArMgGwLi%2BwANawJjKwA82wKDKwAxCxEgErsCoysBfNsCwysS8BK7EDABESsCQ5sBIRsR4fOTmwFxKwGTkAMDETNSEVFBcWFxYzMj4GJzQ9ASEVFA4FIi4FGQEhESERIRFkASwGEVUnNSU7KR8RCwMCAQEsBhgnTWWdwJ1lTScYBgEsAZABLAJYyPpxIFwZCwsUHCMoLC4YEQj6yCpSfmpxUDMzUHFqflIBVgEs%2FtQBLP7UAAAAAAH%2F4gC4BGgD3gAFAAADFwkBNwEe4wFgAWHi%2Fb4Bm%2BMBYf6f4wJDAAABAEYA2gTMBAAABQAAEwkBJwkBRgJEAkLi%2Fp%2F%2BoAMd%2Fb0CQ%2BP%2BnwFhAAAAAAL%2FOgBkBXYD6AAIABEAKACwBy%2BwBM0BsBIvsAfWsATNsRMBK7EEBxESsAE5ALEEBxESsA45MDEDCQEjESEXIREBFyERIwkBIxHGASsBLMsBgdf84AGU1wF9xgErASvIArwBG%2F7l%2FnDIAlgBLMj%2BcP7lARsCWAAAAAEAEgAABKoEsAAyAEYAsiIAACuwGTOwLM2wLBCwJs2xFR0yMrAvL7AEzbAQL7AJzQGwMy%2BwJNawH82wHxCxHAErsBfNsTQBK7EXHBESsC05ADAxEyY3NjMhNz4BOwEyFhQGKwEDDgIrARUUBiImPQEhFRQGIiY9ASMiJjU0NjMhNyEiJicSBQ8OGQOAJgUbEV4UHh4UNskCCB4SHx0qHf7UHSodMhUdHRUCFzD9hyAtBQOrGBITohEVHSod%2FD8EDRYyFB4eFDIyFB4eFDIeFBUdyCoWAAAAAAIAAAAABLAETAADAA8AIACyAAAAK7ABzbAEL7AFzbANMrAJzQGwEC%2BxEQErADAxMREhEQE1MzQ2MyEyFhUhFQSw%2B1DIOykBLCk7AfQDIPzgA4RkKTs7KWQAAAAAAgABAAAF3QRMAAMAEAAoALIAAAArsAHNsA8vsA3NsAUysAnNAbARL7ESASsAsQEAERKwBDkwMTMBIQkBETM0NjMhMhYVIRUhAQEsBLD%2B1PtQyDspASwpOwH0%2FBgCvP1EAZACWCk7OynIAAAAAQEuAAADggSwAAkAIQCyCQAAKwGwCi%2BwAdawB82xCwErsQcBERKxBAk5OQAwMQEzESMJASMRMwEBLsbGASoBKsbG%2FtYBLAJYASz%2B1P2o%2FtQAAAAAAQAAAS8EsAOCAAkAHACwCC%2BwAs0BsAovsQsBKwCxAggRErEABTk5MDERARUhNQkBNSEVASwCWAEs%2FtT9qAJYASrGxv7W%2FtfFxQAAAAQAAAAABLAEsAAPABkAHQAhAEkAsgwAACuwGs2wHjKwHS%2BwIDOwBc2wEC%2BwFM0BsCIvsBvWsB7NsB4QsR8BK7AJzbIfCQors0AfAAkrsSMBK7EJHxESsBk5ADAxPQE0NjMhMhYdARQGIyEiJhsBPgEzITIWFxMBMzUjFzM1IzspA%2BgpOzsp%2FBgpOx%2BsBSQUAqATJQWs%2Fo9kZMhkZGRkKTs7KWQpOzsBVQLjFictF%2F0k%2FtRkZGQAAAAD%2F5sAZASwBEwACwApADcAJgABsDgvsADWsAbNsAYQsSoBK7AyzbE5ASuxKgYRErEMGjk5ADAxAzU0Nj8BFS4EFzU8Az4FOwElESUjExYOASMiKwEiJicCARE0NjMyFhURFAYjIiZlMhkZBA4iGhbJAQICBAUHBMgCo%2F1dJi8CCgwPBQNTFB0ENwPoHRUUHh4UFR0CWDIYMg0N%2BgIHFRYhVfoCDAQKBAcDBQIB%2BvyuyP7sDAsBHBUBUf7iA1IVHR0V%2FK4UHh4AAAIASgAABGYEsAArADMANQCyLwAAK7AzzbApL7AfM7ADzbAYMrIpAwors0ApJQkrAbA0L7E1ASsAsSkzERKxLDE5OTAxEzQ2OwE3Ez4BNycmNjsBMhYHBhUeARcTFzMyFhUUBgcOBCMiJi8BLgEFHgEyNjcGIkobFBJ1Pw96UxIGEhReFBIGElN6Dz92ERQbGhIIHmRqn0998To6EhoBpww4RjgLMGwBXhUdrQFHTX4UIBMaFRMkARN%2FTf65rR0VFCgHAwsdFRIpFBQHKdwxPT0xBgAAAQAVABUEnAScABcAABMXBzcXNxc3Fyc3JzcnNwcnBycHJxcHFxXpTuAtm5st4E7qtLTqTuAtm5st4E7pswG9LeBO6bOz6U7gLZucLOFO6bS06U7hLJwAAAMAAABkBLAEsAADACIALgAaAAGwLy%2BwKNawFs2xMAErsRYoERKwFDkAMDE1MxEjARQ7ARY7ATI3EzY9ATQmIyE2PQE0JisBIgYPAgYVExE%2FATMVByEVAyMnyMgBLGQ9fA%2F6LiXuHT0n%2FrgcPScyGzAOYJEUZJZkMjIBwvrWiMgCWP3zS2Q5AVgfK2QsUXYHlixRKBzGxBol%2FokBd9XUr%2BF9%2FolkAAAAAAMAAAAABLAETAADACIALgBwALIcAAArsCXNsBUvsAAzsCjNsC4vsAfNsAEysCwvsArNAbAvL7AA1rADzbADELEEASuwI82wIxCxJgErsBjNsBgQsSkBK7ARzbEwASuxJiMRErIIKCw5OTmwGBGwFTmwKRKwKzkAsS4cERKwKjkwMRkBMxE3ETQ7ATY7ATIXExYdARQGIyEWHQEUBisBIiYvAiY3HwEzNSchNQMjByPIZGQ9fA%2F6LiXuHT0n%2FrgcPScyGzAOYJEUZJZkMjIBwvrWiGQBkAJY%2Fah9AZBLZDn%2BqB8rZCxRdgeWLFEoHMbEGiXU1a%2FhfQF3ZAAAAAMACABkBRUEVQADACIAQQB5ALAgL7AkzbAbL7ApzbAxL7AUzbABMrIxFAors0AxAAkrAbBCL7AA1rADzbADELEEASuwI82wIxCxLQErsBjNsi0YCiuzQC08CSuxQwErsS0jERK0DBEbFD8kFzkAsRskERKwIzmwKRGwGDmxFDERErIXPEE5OTkwMTcRMxE3ETQ2PwElNjMyHwEWFRQPASEyFhQGKwEDDgEjISImNxchEz4BOwEyNjU0JiMhKgIuBCcmNTQ%2FAScFCMhkHA4OAWoOCxEMbQ4LVQEuVWttVGuCBxsP%2FqsHpmRkASWDBhsPyxASEhD%2BNwELBAkDBwQEAgUKk1b%2BrcgCWP2oSwINESUKCeYGDHAOFBIOeUyQTv6tFieiG1kBUxUoHhUUHQEBAgMFAwwIDg23U%2BwAAAAD%2F5sAZQSwBFYAHgA4ADwAeQCwGC%2BwJM2wHS%2BwH82wOC%2BwA82wOjKyOAMKK7NAODkJKwGwPS%2BwAdawH82yHwEKK7NAHywJK7AfELEmASuwFM2wFBCxOQErsDzNsT4BK7EmHxEStAcMHAQpJBc5ALEdJBESsCY5sB8RsAA5sQM4ERKyAScsOTk5MDECNDYzBScmNTQ%2FATYzMhcFHgIVERQGIyEiJicDIyInMzIWFxMhNxElBxcWFRQHDgUqASMhAREzEWVsVQEuVQsObQ0QCw4BbQcUIawI%2FqsQGwaCa1QK3g8bBoMBJWv%2BqVeRCgUBBQMHBAkECwH%2BJAPpyAJDkEwBeRAQFQ1xDAbmBA0nEf3yDaEoFQFTZCkU%2Fq1ZAfbtU7gLDwsJAwUDAgEB%2FgwCWP2oAAAAAAMAYQAABEwFDgAbADYAOgBHALI3AAArsDjNAbA7L7AV1rA3MrApzbIpFQors0ApOgkrsDMysCkQsS8BK7AOzbE8ASuxKRURErESNjk5sQ4vERKwETkAMDEbAR4CMyEyNjURNCYnJTU0JiIGFREnJgYPAQYXNxcWNz4FPAE1ETQ2Fh0BFBYXBREHIQM1IRVh5gQNJxECDQ2iKBX%2BrU6QTHkPJQ5wFltTtxYZAwUDAgEBMjIoFQFTWf4JCAJYAs%2F%2BlQYTH6YHAVYPGwaDalRua1X%2B0lQMAQ1uFgtWkhINAQUDBwQJBAsBAcgWEhMVyhAbBoL%2B2mT%2BcMjIAAAAAAMAAgAKA%2B0FGAAdADQAOABFALA1L7A2zQGwOS%2BwCtawNTKwK82yKwoKK7NAKzgJK7AhMrArELEnASuwD82xOgErsSsKERKxDB85ObEPJxESsA05ADAxEwYfAR4BPwEUBhUUFjI2PQElPgE1ETQmIyEiBg8BAxMhFxEFDgEdARQGJjURPAEuAScmDwETNSEVAhAWcA0mD3kBTZBOAVMUKaIN%2FfMRJQoKmuwB91n%2BrBQoMjIDBwYYFriSAlgCSR8Wbg0BC1UzzS5UbG5UaoMGGw8BVgemHA4P%2FoIBU2T%2B2oIGHA%2FKFhISFgHICwcQCAMNEpICccjIAAAAAgAFAAAEsASrAA4AFQA6ALIMAAArsBDNsA8vsAXNAbAWL7AA1rAQzbEXASsAsRAMERKxCRI5ObAPEbEAEzk5sAUSsQgUOTkwMRM0PgIzMgQSEAIEICQCARchBwkBFQVfoN16ogEToKD%2B7f68%2FuygASUCASwCAZL%2BbgJVet2gX6D%2B7P68%2Fu2goAETAQrJwgEmASrFAAIAAAAABKsEqwAQABcAOACyDgAAK7AUzbAWL7AFzQGwGC%2BwFNawCs2xGQErALEUDhESsBI5sBYRsgoAETk5ObAFErAXOTAxETQ%2BAjMyHgIVFAIEICQCNwEnITchNV%2Bg3Xl63aBfoP7s%2Frz%2B7aDIAZICASwC%2FtQCVXrdoF9foN16ov7toKABE6X%2B2sLJxQAAAAIABQAABLAEqwAOABUAPgCyDAAAK7ARzQGwFi%2BwANawEc2wERCxEgErsAnNsRcBK7ERABESsQwPOTmwEhGxBRU5ObAJErELFDk5ADAxEzQ%2BAjMyBBIQAgQgJAIlMxEzETMBBV%2Bg3XqiAROgoP7t%2Frz%2B7KABJ8jIyP7UAlV63aBfoP7s%2Frz%2B7aCgAROl%2FtQBLAGQAAACAAUAAASwBKsADgAVAE0AsgwAACuwFC%2BwBc0BsBYvsADWsBXNsBUQsRIBK7AJzbEXASuxFQARErEMDzk5sBIRsQUQOTmwCRKxCxE5OQCxFAwRErIIABA5OTkwMRM0PgIzMgQSEAIEICQCJQkBIxEjEQVfoN16ogEToKD%2B7f68%2FuygAScBLAEsyMgCVXrdoF%2Bg%2Fuz%2BvP7toKABE6X%2BcAGQASz%2B1AAAAAAEAAUAAASwBKsAEACIAJgAmgB8ALIOAAArsCrNsE8vsIwvAbCbL7AA1rAUzbAUELFYASuwCs2xnAErsRQAERKwEjmwWBFADg4FEyEjJDxKVXiEhYmUJBc5sAoSQAoNIiYwO1pndpmaJBc5ALFPKhEStxYwNjxGSFVXJBc5sIwRQAkKABRYbIWNjpQkFzkwMRM0PgIzMh4CFRQCBCAkAhMGFgcUFgcyHgEXFhceAjcWBhcWFxQOARcWNz4CNy4BJy4BJyIOAgcGJyY2NS4BJzYuAQcGJyY3NjceAhceAR8BNDYnJjY3PgM3JjcyFjI2Ny4DJzYnHgE%2FATYuAScGJw4DBwYmBw4BBwYWBw4BJT4BNxYyPgE3FBYVLgM3MwVfoN16ed2gX6D%2B7f68%2Fuyg%2BQgbBiIBDBYYCBhUFj45HQguAyotBgEFaHUeIiMDDi4NDkYRCT0gLhAyEAQBBikEAggZGhcTEwsGEAYoGwYMKA4OEwQEJQQFCgcYFgYQCB8SFwkKKSM%2FDAsJHzYMCwcvUg8TEg8rGj4IDz0PFT4DAxMBAzEBAwMaAwoRCxIHIgksHCSiAQJVet2gX1%2Bg3Xqi%2Fu2goAETAVkhdxwJRhkLEwQMHggvHgQSShRHCQYTCgwDcx0kPh8JAQcHEAsBAgsLIxcCLwINCAMWJhIdGR0cHhAGAQEHChMlCQgDSRUXKwoOKhQZCRITAwkLFycVIAcnBQ0DBQQkIxYMAwMMEgYKAQMHBgcnDwsXByJxcQwkBwoMEQQYVQECBgQMXwAAAAABAAAAAgSvBIUAFAAAPAE3ASY2NzYXBRc3FgcGJwEGIi8BDwJYIU5gpI7%2B%2FZH7DaR7gv2sDysPb48rEAJXZck2XGWK6H6vXEYv%2FawQEG4AAAYAAABgBLAErAAPAB8ALwAzADcAOwBQALAML7A0zbA3L7AFzbAcL7AwzbAzL7AVzbAsL7A4zbA7L7AlzQGwPC%2BwNdaxMTkyMrAJzbEYKDIysjUJCiuzQDUACSuxECAyMrE9ASsAMDE9ATQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJhE1NDYzITIWHQEUBiMhIiYBITUhEyE1IRMzNSM7KQPoKTs7KfwYKTs7KQPoKTs7KfwYKTs7KQPoKTs7KfwYKTsCWAH0%2FgzIASz%2B1GTIyMRkKTs7KWQpOzsBuWQpOzspZCk7OwG5ZCk7OylkKTs7%2Fplk%2FgxkArxkAAACAGQAAARMBLAAAwAJACUAsggAACuwAC%2BwAc0BsAovsAjWsAfNsQsBKwCxAAgRErAEOTAxEzUhFQUhAREHEWQD6PxKA4T%2BosgETGRkZP4M%2FtTIAfQAAAAAAwAAAGQEsASwAAkAIQAlAGAAsAcvsAHNsAovsB0zsA7NsRgiMjKwJS%2BwE80BsCYvsA%2FWsCLNsCAysg8iCiuzQA8LCSuwADKwIhCxIwErsB4ysBjNshgjCiuzQBgcCSuwAjKxJwErALEOChESsB85MDE9ASEVFAYjISImGQE0NjMhNTQ2OwEyFh0BITIWFREhNSMVETM1IwSwOyn8GCk7OykBLDspyCk7ASwpO%2F4MyMjIyMjIKTs7AVUBkCk7ZCk7OylkOyn%2BcGRkAfRkAAAAAAQAAAAABLAEsAAGAA0AFAAbABQAsgAAACuwEjMBsBwvsR0BKwAwMTERFzcXBxcBNxc3JzchATcXNxEhNwM3JyERJweByI7Igf5wgciOyIH%2BcALZjsiB%2FnCByMiBAZCByAGQgciOyIEDIIHIjsiB%2FJmOyIH%2BcIEC5siB%2FnCByAAABgAAAAAEqASoAAsAFQAfACkAQgBMANIAsgoAACuwD82wHi%2BwSjOwGc2wRTKwKC%2BwOTOwI82wNDKyKCMKK7NAKEEJK7AUL7AEzQGwTS%2BwAdawDM2wDBCxFwErsBvNsBsQsSELK7AmzbAmELEqASuwPs2wPhCxQwErsEjNszdIQwgrsDHNsDEvsDfNsEgQsREBK7AHzbFOASuxJhsRErMKDhQDJBc5sT4qERKxLTw5ObE3MREStQkPEwQvOyQXOQCxHg8RErMHAAwRJBc5sBkRsyotPD4kFzmwKBKxBgE5ObAjEbEvOzk5MDEYARIkIAQSEAIEICQTFBYgNjU0JiAGFjQ2MhYVFAYjIjY0NjMyFhQGIyIXNDY%2FAiY1NDYzMhYUBiMiJwcWFRQGIiYlNDYyFhQGIyImoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqrzbR8uICAXFk0gFxYgIBYXUikfegEJIBcWICAWDg83ETNIMwEeIC4fIBYXIAGyAUQBEqCg%2Fu7%2BvP7uoKABtKzy8qyr8%2FOHLh8gFhcg5CwhIC4guiAxBX4BDg4WISAuIAqRFh0kMzNSFiAfLiAgAAAAAf%2FYADsEugSwAE8AOgCwBS%2BwJ82wIC%2BwFc2wNi%2BwSs0BsFAvsVEBKwCxJwURErA%2FObAgEbQLDxobMSQXObAVErEyMzk5MDECBhceATMyNz4CNzY3AT4BJyYnJiMiBgcBBxcBNjc2MzIXFgcBBiMiJicmPgI3NjcBPgIzMhceAQcGDwEDHwEBPgEnLgEnJiMiBwYHARsaMCN2Rj84IUApJygRAYojGA8bWhQJLkEj%2FnsHRQF5FBMXGyYPECT93TRJN1oJBQ8wJCYYFAFcND1rNhkXX3YIB1v8%2FQdFAgVDOBEQZk9FU2taKEf%2BAAHWvk45QBwQMSorLBEBiiNiL1cRAiEj%2FnQHQwF1FhAXJCck%2Fd00Qj8jPkAkJBUUAVw0NzUEEZtiZVv5%2FwAHPAH%2FQ7RdV4YkITcYR%2F4AAAAAAAIAUAA2BMMEWAAbADUAPQCwMy%2BwLTOwA82wBzIBsDYvsADWsBzNsBwQsSoBK7AKzbE3ASuxKhwRErMDBw8YJBc5ALEDMxESsAU5MDETNDYzMhc2MzIWFRQOAgcGDwEnLgInLgM3FB4BHwEWFzY%2FAT4CNTQmIyIPAScmIyIGUMWEj2Jnj4HCI1dDR8VgERArckZCR0NXI6o9PkAWXWFScQxAQz5gOUo6dnIzSDxjAxCDxYGBxYMuWmxHRr%2BDFxc6gUZBRkdsWi4bVkE%2BFlpvXG8MPkZYHEdhU6uuUGMAAAAAAgA5%2F%2FIEdwS%2BABgAMwAAExQfARYzMjcBNjQvASYnBxcBJzcnJicHBhMUHwEWFzcnARcHFxYXNz4BNTQvASYjIgcBBjlCjURbXUIBG0JCjQgLadT%2Be%2FdfEi4dN0LUQo0HDGnUAYX3XxIvHh0jN0KNQl1fQP7lQgFhX0COQkIBG0K6Qo0JCGnU%2Fnv4XxItODdCAQRdQo0HCmnUAYX3YBExMx0jaitdQo1CQv7lQAAAAAADAMgAAAPoBLAAEQAVAB0ARQCyDwAAK7AZzbAdL7ASzbAVL7AGzQGwHi%2BwANawEs2wEhCxEwErsAvNsAsQsBvNsBsvsR8BK7EbEhESsgYFFjk5OQAwMTcRND4CMh4CFREUBiMhIiY3IREhEhQWMjY0JiLIPGacqppkOjsp%2FagpO2QCWP2oxD1WPT1WZAO5FTIuHh4uMhX8Ryk7O%2FECvPzZVj09Vj0AAAABAAAAAASwBLAAGAARALIAAAArAbAZL7EaASsAMDExATcnIQEnJjQ3NjIXARYUBwYiLwEBEScHAS%2FP0gEsAQsjDw8OKg4BGw8PDioOJP7p1NABfNDUARckDioODw%2F%2B5g8qDg8PI%2F71%2FtTSzwADAScAEgQJBOEAMQA9AEMAlwCwLS%2BwKjOwBM2wPjKyLQQKK7NALSwJK7A7L7AfM7ASzbISOwors0ASEwkrAbBEL7AO1rAAMrAyzbABzbAyELEsASuyBBI6MjIysCvNshQfPjIyMrArELFAASuwJ82wHCDWEbAbzbFFASuxMgERErACObAsEbAJOQCxBC0RErApObA7EbYADhsnOkBDJBc5sBISsBU5MDEBMx4BFxEuASMuBDU0PgE3NTMVHgQXIy4BJxEXHgQVFAYHFSM1JicuARMUHgMXFhcRDgETNjU0JicBJ4sFV0oGEwIuQk4vIViCT2QmRVI8KwOfCDZKQCI8UDcosptkmFUoGagQESoUHAcEPUnqqlhSAbFNYw8BTwEGDhkvOVg3XIdDB05PBBMsP2lCSEsN%2Fs0OBxMsPGU%2Bi6oLTU4RVyhrAh4dLBgVBgcCAQESCDv9KxKFQEcZAAAAAQBkAGYDlAStAEMAjQCwMS%2BwKs2wAC%2BwHjOwAc2wHDKwEy%2BwC82yEwsKK7NAEw4JKwGwRC%2BwB9awOTKwGM2wJDKyGAcKK7NAGB4JK7IHGAors0AHAAkrsBgQsQ8BK7AOzbFFASuxGAcRErMCOEJDJBc5sA8RtQsfICoxMyQXObAOErAsOQCxKjERErEtOTk5sAARsSw8OTkwMRM1MyYnLgE%2BATc2MzIWFSM0LgEjIgYHBhUUHgEXMxUjFgYHBgc%2BATM2FjMyNxcOAiMiJgcOAQ8BJz4FNz4BJ2SmGBQKCQMvLWGmgcqZRFAkJVQUKSEXHvHFCBUVKTojYhUhjCFMPDIpTycqF9IyJ1YXGDcGFQoRDBEJMAwkAlhkMTcaO1ZeKFiydzRLHB0VLDkcUyozZDKCHTs2Cw4BIh6TGRcDQgQEGgwLkQQOBg0LEQo3j0cAAgACAAAErgSwAAYADQAfALIMAAArAbAOL7AM1rALzbEPASuxCwwRErAIOQAwMRMJASMRIxEJAiMRIxECASoBKsbIAZIBKgEqxsgBLP7UASwDhPx8AlgBLP7U%2FHwDhAAABQACAAAD6ASwAAYADAAWAB4AIgCmALIHAAArsAYzsArNsgcAACuwCM2wEy%2BwFM2xAAQyMrANL7AOzbAdL7AfzbIdHwors0AdFwkrsBoysCIvsBjNsAIyAbAjL7AB1rAEzbAEELEIASuxDRcyMrAKzbEdHzIysAoQsRUBK7EbIDIysBDNsQsZMjKzEhAVCCuwE82wEy%2BwEs2xJAErsQQBERKwBjmwCBGwBTkAsRQIERKwEDmwDRGwETkwMRMzETMRMwEhNTMVMxUBNSEVIxUjNTM1AxEhESM1IxU3MzUjAsbIxv7WAZBkyP7UASxjZGPIASxkZAFkZAEsA4T8fP7UyGRkAZBkyGRkZAEsAfT%2BDGRkyMgABQACAAAD6ASwAAYADgAUAB4AIgCgALIGAAArsQcKMzOwDS%2BwH82wIi%2BwCM2wDy%2BwEs2wEM2wGy%2BwHM2wFS%2BwFs2wAjIBsCMvsAHWsATNsAQQsQcBK7EPFTIysA7NsREfMjKwDhCxCwErsR0gMjKwCs2xExcyMrMaCgsIK7AbzbAbL7AazbEkASuxBAERErAGObAHEbAFOQCxIh8RErMBBAUAJBc5sRwQERKwGDmwFRGwGTkwMRMzETMRMwEhESERIzUjFQM1MxUzFQE1IRUjFSM1MzUDMzUjAsbIxv7WAZABLGRkZGTI%2FtQBLGNkY2NkZAEsA4T8fP7UAfT%2BDGRkArzIZGQBkGTIZGRk%2FHzIAAAEAAIAAARMBLAABgAMABIAFgBrALILAAArsAwvsBPNsBYvsAjNsA0vsA7Nsg0OCiuzQA0RCSsBsBcvsBHWsBDNsxMQEQgrsAfNsAcvsA0zsBPNsBAQsRQLK7ALMrAKzbEYASsAsQgLERK0AAIDBgEkFzmxDg0RErEFBDk5MDETCQEjESMRBREhESM1AzUzESMREzM1IwIBKgEqxsgCWAEsZMjIZAFkZAEs%2FtQBLAOE%2FHzIAZD%2BDGQD6GT%2BDAGQ%2FHzIAAAABAACAAAETASwAAYADAASABYAawCyCwAAK7AHL7AIzbASL7ATzbISEwors0ASEAkrsBYvsA7NAbAXL7AL1rAKzbMTCgsIK7ANzbANL7AHM7ATzbAKELEUCyuwETKwEM2xGAErALETCxEStAACAwYBJBc5sQ4WERKxBQQ5OTAxEwkBIxEjESU1MxEjEQMRIREjNSczNSMCASoBKsbIAljIZGQBLGRjZGQBLP7UASwDhPx8ZGT%2BDAGQAZABkP4MZGTIAAAAAAUAAgAABLAEsAAGAAoADgASABYAUgCwBy%2BwCM2wCy%2BwDM2wDy%2BwEM2wEy%2BwFM0BsBcvsA%2FWsgcLEzIyMrASzbAWzbIWDwors0AWCgkrs0AWDgkrsRgBKwCxCwgRErMCAwYAJBc5MDETCQEjESMRBTUhFQE1IRUBNSEVATUzFQIBKgEqxsgB9AH0%2FgwBkP5wASz%2B1MgBLP7UASwDhPx8yMjIASzIyAEsyMgBLMjIAAAABQACAAAEsASwAAYACgAOABIAFgBSALAHL7AIzbALL7AMzbAPL7AQzbATL7AUzQGwFy%2BwC9ayBw8TMjIysA7NsArNsgoLCiuzQAoSCSuzQAoWCSuxGAErALELCBESswIDBgAkFzkwMRMJASMRIxEFNTMVAzUhFQE1IRUBNSEVAgEqASrGyAH0yMgBLP7UAZD%2BcAH0ASz%2B1AEsA4T8fMjIyAEsyMgBLMjIASzIyAAAAAACAAAAAARMBEwADwAfACoAsg0AACuwE82wHC%2BwBM0BsCAvsADWsBDNsBAQsRcBK7AJzbEhASsAMDEZATQ2MyEyFhURFAYjISImNxQWMyEyNjURNCYjISIGFeulASyi7u2j%2FtSl68g7KQH0KTs7Kf4MKTsBkAEspevto%2F7UpevrQSk7OykB9Ck7OykAAAMAAAAABEwETAAPAB8AIgA%2BALINAAArsBPNsBwvsATNAbAjL7AA1rAQzbAQELEXASuwCc2xJAErsRcQERKxICE5OQCxHBMRErEgIjk5MDEZATQ2MyEyFhURFAYjISImNxQWMyEyNjURNCYjISIGFRMtAe6iASyl6%2Bul%2FtSj7cg7KQH0KTs7Kf4MKTvIAU3%2BswGQASyj7eul%2FtSl6%2BtBKTs7KQH0KTs7Kf4M%2BvoAAAAAAwAAAAAETARMAA8AHwAiAD4Asg0AACuwE82wHC%2BwBM0BsCMvsADWsBDNsBAQsRcBK7AJzbEkASuxFxARErEgIjk5ALEcExESsSAhOTkwMRkBNDYzITIWFREUBiMhIiY3FBYzITI2NRE0JiMhIgYVFxsB66UBLKPt66X%2B1KXryDspAfQpOzsp%2FgwpO2T6%2BgGQASyj7e6i%2FtSl6%2BtBKTs7KQH0KTs7KWT%2BswFNAAMAAAAABEwETAAPAB8AIgA%2BALINAAArsBPNsBwvsATNAbAjL7AA1rAQzbAQELEXASuwCc2xJAErsRcQERKxICE5OQCxHBMRErEgIjk5MDEZATQ2MyEyFhURFAYjISImNxQWMyEyNjURNCYjISIGFRMhA%2BulASyl6%2B2j%2FtSl68g7KQH0KTs7Kf4MKTtkAfT6AZABLKXr66X%2B1KLu7T8pOzspAfQpOzsp%2FnABTQACAAAAAAUUBEwABgAaADwAsgcAACuwCM2wAC%2BwAc2wES%2BwEs0BsBsvsAzWsBfNsRwBKwCxCAcRErAFObEBABESsAQ5sBERsAM5MDEZASE1CQE1EzUhMjY1ETQmIyE1ITIWFREUBiMBLAGQ%2FnDIAfQpOzsp%2FgwBkKXr66UBkAEsyP6i%2FqLI%2FnDIOykB9Ck7yOul%2FtSl6wAAAAEA2QACA9YEngAhACgAsA4vsBPNAbAiL7Ac1rAWzbEjASuxFhwRErAZOQCxEw4RErAPOTAxExYzIQIHBh8BMzI3NgAzNicmIwU2Ejc2LwEjIgcOAQAHBtkIFwEumwUFCQkJDgwLAg8BDgkIF%2F7TAZoCAgcJCQ8KBLz%2B80sQAgcT%2FkoUFQsIDw0CaRMREQEEAa8MDwwJEAbT%2FtFWEwAAAAACAAAAAAUUBEwAGAAfAD8AsgMAACuwCM2wCBCwBs2wGS%2BwGs2wEC%2BwEs2wFM0BsCAvsADWsAvNsSEBKwCxGgMRErEdHjk5sBARsBw5MDERFBYzITI3NSEiJjURNDYzITUuAS8BIgYVAREhNQkBNeulASwvNf4MKTs7KQH0DshdXaXrAlgBLAGQ%2FnABkKXrD7k7KQH0KTu5BAcCAuul%2FtQBLMj%2Bov6iyAACAAAAAASwBLAAHQAkAFQAsgMAACuwD82wFi%2BwGs0BsCUvsADWsBLNsBIQsQsBK7AHzbEmASuxCxIRErUYGR4fICQkFzmwBxGwIzkAsRYPERK1CAkeIiMkJBc5sBoRsB85MDERFBYzITI2PQEnBxUUBiMhIiY1ETQ2OwE3JyMiBhUlASchEScB66UBLKPtTno7Kf4MKTs7KZx2SmSl6wHwAWGVAfSV%2FqoBkKXr66ViSXuUKTs7KQH0KTt6TuulCQFWlf4Mlf6fAAMABAAEBKwErAALABMAGwBaALAKL7APzbAbL7AXzbATL7AEzQGwHC%2BwAdawDc2wDRCxFQErsBnNsBkQsREBK7AHzbEdASuxGRURErcECQoODxITAyQXOQCxFxsRErcBBgcMDRARACQXOTAxEhASJCAEEhACBCAkEhAWIDYQJiACNDYyFhQGIgSgARIBRAESoKD%2B7v68%2Fu4W8wFW8%2FP%2BqhdyoHJyoAG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP%2BEqBycqByAAAAAwAAAAAETASwAAkAEAAUAC4AsgkAACuwEc2wFC%2BwBc2wCzIBsBUvsBLWsAjNshIICiuzQBIACSuxFgErADAxMRE0NjMhMhYVEQkCIREhEQEzNSMOCwQYCxD8GAG9AcL%2B2f7UAfRkZAETCw4PCv7tAyD%2BDAH0AZD%2BcP12MgAAAAADAAAAAARMBLAACQAQABQAKwCyCQAAK7ARzbAUL7AFzQGwFS%2BwEtawCM2yEggKK7NAEgAJK7EWASsAMDExETQ2MyEyFhURASERIREhCQEzNSMOCwQYCxD8GAEsASwBJ%2F5DAV5kZAETCw4PCv7tArz%2B1AEsAfT75jIAAAAAAwAAAAAETAR%2FAAkADwATAC4AsgkAACuwEM2wEy%2BwBc0BsBQvsBHWsAwysAjNshEICiuzQBEACSuxFQErADAxMRE0NjMhMhYVEQkCJwEnATM1Iw4LBBgLEPwYATECVJr%2BRpYChWRkARMLDg8K%2Fu0Cwf7PAlSb%2FkaX%2FToyAAQAAAAABEwEsAAJAA0AFAAYACsAsgkAACuwFc2wGC%2BwBc0BsBkvsBbWsAjNshYICiuzQBYACSuxGgErADAxMRE0NjMhMhYVEQEXNycDJRMHJwcXATM1Iw4LBBgLEPwYYdRhcAK5A%2FqV1JUBzmRkARMLDg8K%2Fu0D3GLVYfzgAQK775XUlf4NMgAEAAAAAARMBLAACQANABQAGAAuALIJAAArsBXNsBgvsAXNAbAZL7AW1rATMrAIzbIWCAors0AWAAkrsRoBKwAwMTERNDYzITIWFREBFzcnExcHFzcXCwEzNSMOCwQYCxD8fNRi1QPvldSV%2BQFjZGQBEwsODwr%2B7QJk1GHUAev6ldSU7QK5%2B%2BkyAAAAAAIAF%2F%2F%2FBLAErwAFAAgAFwCyBAAAKwGwCS%2BwBdawBs2xCgErADAxEwERCQERFwkBFwSZ%2FiX%2Byk8CoP1gAZ8DEPvJARD%2BdwGgzQOq%2FTgAAAAAAgAAAGQETASwABUAGQBNALARL7AGzbIRBgors0AREwkrsA4ysgYRCiuzQAYECSuwCDIBsBovsADWsBLNsAbNsBIQsQ8BK7ALzbEbASuxDwYRErIJFhc5OTkAMDE1ETQ2OwERIREzFxEUBisBESERIyImATM1Ix0V%2BgH0ZMgeFJb9RJYVHQJYZGSWA%2BgUHv7UASzI%2FK4VHQGQ%2FnAdA2fIAAMAAAA%2BBRQEsAATABkAHQBAALAPL7AGzbIPBgors0APEQkrsgYPCiuzQAYECSuwCDIBsB4vsADWsBDNsAbNsR8BKwCxBg8RErILFxg5OTkwMTURNDY7AREhETMXFQEnByERIyImJTcXARcBAzM1Ix0V%2BgH0ZMj%2B7Hh%2B%2FoaWFR0CRXt4AWF7%2FiXhZGSWA%2BgUHv7UASzI2v7teH%2F%2BcB2xe3gBYHv%2BJAOqyAAAAAADAAAABgUOBLAAEwAXACMAFQABsCQvsADWsBDNsAbNsSUBKwAwMTURNDY7AREhETMXEQcnASERIyImATM1IxM3JzcXNxcHFwcnBx0V%2BgH0ZMhnqv7W%2FreWFR0CWGRkZKqqf6qqf6qqf6qqlgPoFB7%2B1AEsyP7zZ6r%2B1v5wHQNnyPvVqqp%2FqqqAqap%2FqqoAAAADAAAAAASwBLAAEgAZAB0AbACwDi%2BwBs2yDgYKK7NADhAJK7AGELAMzbAaL7AbzbEECDIyAbAeL7AA1rAPzbIPAAors0APCwkrsAAQsAbNsA8QsRoBK7AdzbAMMrEfASuxGgYRErATOQCxDA4RErEXGDk5sRoGERKwCjkwMTURNDY7AREhETMXESEVIREjIiYlCQEjESMRAzUzFR0V%2BgH0ZMj%2BcP4MlhUdAlgBLAEsyMjIZJYD6BQe%2FtQBLMj%2B1Mj%2BcB2r%2FtQBLAEs%2FtQCvMjIAAAAAAMAAAAABLAEsAASABkAHQBbALAOL7AGzbIOBgors0AOEAkrsBovsBvNsQQIMjIBsB4vsADWsA%2FNsAbNsA8QsRoBK7AdzbEfASuxGgYRErATObAdEbANOQCxBg4RErILDBk5OTmwGhGwCjkwMTURNDY7AREhETMXEScBIREjIiYlMxEzETMJATUzFR0V%2BgH0ZMjI%2Ftb%2BbpYVHQJYyMjI%2FtT%2B1GSWA%2BgUHv7UASzI%2Fm7I%2Ftb%2BcB2r%2FtQBLAEsAZDIyAAAAAADAAAAyASwBEwACQATABcAADUUFjMhMjY1ESE1ITU0JiMhIgYVEzUhFR0VBEwVHftQBLAdFfu0FR1kAZD6FR0dFQImZJYVHR0V%2FRLIyAAAAAYAAABmBLAErgAGAAoADgAVABkAHQCBALAFL7EWGjMzsALNsRccMjKwBy%2BxCw8zM7AIzbEMEDIyAbAeL7AH1rAKzbAKELELASuwDs2wDhCxFgErsBnNsR8BK7ELChESswIFBgEkFzmxFg4RErMEAw8QJBc5sBkRsxIUFREkFzkAsQIFERKwADmwBxGxARQ5ObAIErATOTAxEQEVIRUhFQM1MxUzNTMVMzUhNQkBNQM1MxU7ATUjASwBkP5wyGRkZGQBkAEs%2FtRkZGRkZAGQASrGyMYCusjIyMjIxv7W%2FtbG%2FgzIyMgAAAACAGQAAASwBLAAGAAvADoAshQAACsBsDAvsADWsATNsAQQsRcLK7AQzbMJEBcIK7AFzbAFL7AJzbAQELEKCyuwDs2xMQErADAxExE3FxEzETcXETMRNxcRBxEUBisBIiY1ESUUHgIfAREUFjsBMjY1ETQmBwUOARVkMjJkMjJkMjJkHRXIFR0CWBUdHQsKHRXIFR0kGv7sGSUCvAGQZGT%2B1AEsZGT%2B1AEsZGT%2BcMv%2BQRUdHRUBv2QdNSEYBgX%2BcxUdHRUEUh8TEXQRRR8AAAAAAQBkAAAEsARMADMAOACyAAAAK7AMM7AzzbICCw4yMjKwKC%2ByGBwlMzMzsCfNsBoyAbA0L7E1ASsAsSgzERKxBiA5OTAxMyE1IiY1ESERFAYjFSE1Ii4DNRE0Nj8BNSEVMhYVESERNDYzNSEVMh4DFREUBg8BZAGQSxkB9BlLAZAEDiIaFjIZGf5wSxn%2BDBlL%2FnAEDiIaFjIZGTgMJgGK%2FnYmDDg4AQUJFQ4DeBYZAQI4OAwm%2FnYBiiYMODgBBQkVDvyIFhkBAgAGAAAAAARMBEwADwAYABwAIAAqAC4AMgCyGAAAK7AQzbAWL7ASzbISFgors0ASFAkrAbAvL7EwASsAsRIQERKzBAMZHCQXOTAxERQWMyEyNjURNCYjISIGFRMhNzMlESEHIQM1IRUBNSEVASEXFSUzNSEnIQE1JRU7KQEsKTs7Kf7UKTtkAZDIaQEn%2Fldk%2FolkASz%2B1AEs%2FtQBkMgBJ2n%2BV2T%2BiQH0AZABLCk7OykB9Ck7Oyn9RMhi%2FtZkASzIyAEsyMgBkMhiYshk%2FUajhaMAAQAQABAEnwSfACAAABIeAxceAzM%2FATYmLwEmBg8BLgEnNz4BLwEuAQ8BEAEfPpJmZ9GXex8foxEHE8ATNBB2jvxldhEGDosOLRKiA%2BQriY%2FUZmeSPSEBohIuDogOBBF2ZfyOdhExFMITBhGiAAAAAAIAAAAABLAETAAdAEAALwCyGwAAK7AMzbAoL7A4zQGwQS%2BxQgErALEMGxESsSAvOTmwKBGzJikyQCQXOTAxPQE0NjcBNTQ%2BAzIeAh8BFQEeAR0BFAYjISImERQWPwE%2BAT0BNiAXFRQWHwEWNj0BLgQjIg4EDwEVDgFtAhYmUnBSJhYBAQFtDhUdFfu0FB4dFMoUHY0BPo0dFMoUHQYaZHzaflymdWQ%2FLAkJMtQUMw4BLzIEDSAZFRQbHAoKMv7RDjMU1BUdHQKrFRkEIQQiFZIYGJIVIgQhBBkVyAgZQTEpFSEoKCELCgACAGQAAASwBEwAAwAZABQAsgAAACuwAc0BsBovsRsBKwAwMTM1IRUlISc1NxEjFSM1IxUjNSMVIzUjERcVZARM%2B%2F8Dtn1kZGTIZMhkZGRkZMiW%2BmQBkMjIyMjIyP5wZPoAAAAAAwBkAAAEsARMAAkAEwAdACQAsgoAACuwFDMBsB4vsArWsBPNsBMQsRQBK7AdzbEfASsAMDEzIRE0JisBIgYVARE0NjsBMhYVETMRNDY7ATIWFRFkASw7KWQpOwGQOylkKTtkOylkKTsBkCk7Oyn%2BcAPoKTs7KfwYArwpOzsp%2FUQAAAAABf%2BcAAAEsARMAA8AEwAfACcAKwBIALINAAArsBDNsBMvsATNAbAsL7AA1rAQzbAQELERASuwCc2xLQErsREQERK1FBUgIygqJBc5ALETEBEStRQaICYoKSQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETIREjNTM1IREzFSMFMzUzESM1IxMRMxFksHwCvHywsHz9RHywyAOE%2FHxkASzIyP7UyMgBkMhkZMhkZAEsAfR8sLB8%2Fgx8sLAYArz9qAEsZGT%2B1GRkZAEsZP5wASz%2B1AAAAAAF%2F5wAAASwBEwADwATAB8AJwArAEgAsg0AACuwEM2wEy%2BwBM0BsCwvsADWsBDNsBAQsREBK7AJzbEtASuxERARErUUGSAjKCokFzkAsRMQERK1FBogJigpJBc5MDEDETQ2MyEyFhURFAYjISImNyERIRMzNTMVMxEjFSM1IwEzNTMRIzUjExEzEWSwfAK8fLCwfP1EfLDIA4T8fGRkZGRkZGQBkMhkZMhkZAEsAfR8sLB8%2Fgx8sLAYArz9qMjIAfTIyP4MZAEsZP5wASz%2B1AAABP%2BcAAAEsARMAA8AEwAbACMARACyDQAAK7AQzbATL7AEzQGwJC%2BwANawEM2wEBCxEQErsAnNsSUBK7EREBESsxQVHB0kFzkAsRMQERKzFBocIiQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETITUjETM1IQEhNSMRMzUhZLB8Arx8sLB8%2FUR8sMgDhPx8ZAEsyMj%2B1AGQASzIyP7UASwB9HywsHz%2BDHywsBgCvP2oZAEsZP4MZAEsZAAAAAAE%2F5wAAASwBEwADwATABYAGQBEALINAAArsBDNsBMvsATNAbAaL7AA1rAQzbAQELERASuwCc2xGwErsREQERKzFBUXGCQXOQCxExARErMVFhcZJBc5MDEDETQ2MyEyFhURFAYjISImNyERIRMFERMtAWSwfAK8fLCwfP1EfLDIA4T8fGQBLGQBLP7UASwB9HywsHz%2BDHywsBgCvP6ilgEs%2FtSWlgAAAAAF%2F5wAAASwBEwADwATABcAHwAnAFoAsg0AACuwEM2wFC%2BwGM2wIzKwHy%2BwJTOwFc2wEy%2BwBM0BsCgvsADWsBDNsBAQsRQBK7AYzbAYELEcASuwIc2wIRCxJAErsBfNsBcQsREBK7AJzbEpASsAMDEDETQ2MyEyFhURFAYjISImNyERIRMRIRElMzI2NCYrAQQUFjsBESMiZLB8Arx8sLB8%2FUR8sMgDhPx8ZAK8%2FaiCKTY5JoIBEzYpgoImASwB9HywsHz%2BDHywsBgCvP2oAfT%2BDGRUglZWglQBLAAABf%2BcAAAEsARMAA8AEwAfACMAKQBIALINAAArsBDNsBMvsATNAbAqL7AA1rAQzbAQELERASuwCc2xKwErsREQERK1FBUgISQnJBc5ALETEBEStRQaICImKCQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETIREjNTM1IREzFSMFMzUjEzMRMxEjZLB8Arx8sLB8%2FUR8sMgDhPx8ZAEsyMj%2B1MjIAZFkZGNkZMgBLAH0fLCwfP4MfLCwGAK8%2FagBLGRk%2FtRkZGQBLP5wAfQABv%2BcAAAEsARMAA8AEwAZAB0AIQAnAEwAsg0AACuwEM2wEy%2BwBM0BsCgvsADWsBDNsBAQsREBK7AJzbEpASuxERARErcUFRocHh8iJSQXOQCxExARErcUGBobHiAkJiQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETIREjNSMTNTMVFzM1IxMzETMRI2SwfAK8fLCwfP1EfLDIA4T8fGQBLMhkZWTIZGRjZGTIASwB9HywsHz%2BDHywsBgCvP2oAZBk%2FnDIyGRkASz%2BcAH0AAAAAAb%2FnAAABLAETAAPABMAHQAhACUAKwCbALINAAArsBDNsB4vsSIpMzOwH82wIzKwGi%2BwG82wFC%2BwJjOwFc2wJzKwEy%2BwBM0BsCwvsADWsBDNsBAQsR4BK7AUMrAhzbAhELEcASuwF82zGRccCCuwGs2wGi%2BwGc2wFxCxIgErsCXNsCUQsSoBK7ApzbApELAmzbAmL7ApELERASuwCc2xLQErALEbHxESsBc5sBQRsBg5MDEDETQ2MyEyFhURFAYjISImNyERIRc1IREjFSM1MzUDNTMVITUzFQM1MxEjEWSwfAK8fLCwfP1EfLDIA4T8fGQBLGNkY8dkASxkAchkASwB9HywsHz%2BDHywsBgCvMhk%2FtRkZMj%2BcGRkZGQBkGT%2BDAGQAAADAAQABASsBKwACwATAB0AeQCwCi%2BwD82wHS%2BwGs2wGS%2BwFs2wEy%2BwBM0BsB4vsAHWsA3NsA0QsRQBK7AazbAaELERASuwB82xHwErsRoUERK1Cg4TAxYdJBc5sBERtQkPBBIXGyQXOQCxGh0RErQHDRAAFCQXObAZEbAVObAWErMGDBEBJBc5MDESEBIkIAQSEAIEICQSEBYgNhAmIAM1NyEVIRUhFSEEoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqodZAEs%2FtQBLP7UAbYBRAESoKD%2B7v68%2Fu6goAJf%2Fqrz8wFW8%2F3%2ByGRkyGQAAAQAAAAEBKgErAALABMAIAAkAKAAsAovsA%2FNsCEvsBQzsCLNsBsvsBXNsBMvsATNAbAlL7AB1rANzbANELEUASuwIM2wGzKyIBQKK7NAIB4JK7AgELEhASuwGTKwJM2wFzKwJBCxEQErsAfNsSYBK7EgFBESswoOEwMkFzmwIRGwFjmwJBKzCQ8SBCQXOQCxIiERErQHDRAAHiQXObAbEbIXGB85OTmwFRKzBgwRASQXOTAxGAESJCAEEhACBCAkEhAWIDYQJiADESEXFSM1IxUzFSMVMzUzFaABEgFEARKgoP7u%2Frz%2B7hbzAVbz8%2F6qGQEsZGTIyMjIZAG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP9mgGQZGRkZGRkZGQAAAL%2F8v%2BcBMIEQQAZACAAcgCwBS%2BwEs2wEhCwDSDWEbAIzbADMgGwIS%2BwANawBM2wBBCxGwErsB7NsB4QsQcBK7ALzbEiASuxBAARErIVFxo5OTmxHhsRErESIDk5sQsHERKxDx85OQCxBQgRErMAChwdJBc5sA0RswsPFRckFzkwMQMUFjsBESERMzI2NCYjIgcuASMiBhUUFw4BATMRMxEzAQ5xT94BkIB4qqp4LiwstW6Y2AJCVQE6yMjI%2FtQB7lByASz%2B1K3yrA5hd9eZGQwOa%2F6VASz%2B1P7UAAAC%2F%2FL%2FnATCBEEAGAAfAB4AAbAgL7Ae1rAdzbEhASuxHR4RErIRGgU5OTkAMDEDFBY7AQkBPgE1NCYjIgcuASMiBhUUFw4BCQIjESMRDnFPCAGeAZNeeap4LiwstW6Y2AJCVQE6ASwBLMjIAe5QcgGe%2Fm0anWR4rQ5hd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%2F4WwAY0AS7AIUFixAQGOWbFGBitYIbAQWUuwFFJYIbCAWR2wBitcWFmwFCsAAAABUuZYrgAA%29%20format%28%27truetype%27%29%2Curl%28data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPD94bWwgdmVyc2lvbj0iMS4wIiBzdGFuZGFsb25lPSJubyI%2FPgo8IURPQ1RZUEUgc3ZnIFBVQkxJQyAiLS8vVzNDLy9EVEQgU1ZHIDEuMS8vRU4iICJodHRwOi8vd3d3LnczLm9yZy9HcmFwaGljcy9TVkcvMS4xL0RURC9zdmcxMS5kdGQiID4KPHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPgo8bWV0YWRhdGE%2BPC9tZXRhZGF0YT4KPGRlZnM%2BCjxmb250IGlkPSJnbHlwaGljb25zX2hhbGZsaW5nc3JlZ3VsYXIiIGhvcml6LWFkdi14PSIxMjAwIiA%2BCjxmb250LWZhY2UgdW5pdHMtcGVyLWVtPSIxMjAwIiBhc2NlbnQ9Ijk2MCIgZGVzY2VudD0iLTI0MCIgLz4KPG1pc3NpbmctZ2x5cGggaG9yaXotYWR2LXg9IjUwMCIgLz4KPGdseXBoIC8%2BCjxnbHlwaCAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZDsiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDAzOyIgaG9yaXotYWR2LXg9IjEzMDQiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDA0OyIgaG9yaXotYWR2LXg9IjQzNCIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeDIwMDU7IiBob3Jpei1hZHYteD0iMzI2IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAwNjsiIGhvcml6LWFkdi14PSIyMTciIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDA3OyIgaG9yaXotYWR2LXg9IjIxNyIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeDIwMDg7IiBob3Jpei1hZHYteD0iMTYzIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAwOTsiIGhvcml6LWFkdi14PSIyNjAiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDBhOyIgaG9yaXotYWR2LXg9IjcyIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAyZjsiIGhvcml6LWFkdi14PSIyNjAiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMjEyOyIgZD0iTTIwMCA0MDBoOTAwdjMwMGgtOTAwdi0zMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjVmYzsiIGhvcml6LWFkdi14PSI1MDAiIGQ9Ik0wIDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjYwMTsiIGQ9Ik0tMTQgNDk0cTAgLTgwIDU2LjUgLTEzN3QxMzUuNSAtNTdoNzUwcTEyMCAwIDIwNSA4Ni41dDg1IDIwNy41dC04NSAyMDd0LTIwNSA4NnEtNDYgMCAtOTAgLTE0cS00NCA5NyAtMTM0LjUgMTU2LjV0LTIwMC41IDU5LjVxLTE1MiAwIC0yNjAgLTEwNy41dC0xMDggLTI2MC41cTAgLTI1IDIgLTM3cS02NiAtMTQgLTEwOC41IC02Ny41dC00Mi41IC0xMjIuNXoiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDEzOyIgZD0iTTI5IDQ1NGw0MTkgLTQyMGw4MTggODIwbC0yMTIgMjEybC02MDcgLTYwN2wtMjA2IDIwN3oiIC8%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI3OyIgZD0iTTQgNjAwcTAgMTYyIDgwIDI5OXQyMTcgMjE3dDI5OSA4MHQyOTkgLTgwdDIxNyAtMjE3dDgwIC0yOTl0LTgwIC0yOTl0LTIxNyAtMjE3dC0yOTkgLTgwdC0yOTkgODB0LTIxNyAyMTd0LTgwIDI5OXpNMTg2IDYwMHEwIC0xNzEgMTIxLjUgLTI5Mi41dDI5Mi41IC0xMjEuNXQyOTIuNSAxMjEuNXQxMjEuNSAyOTIuNXQtMTIxLjUgMjkyLjV0LTI5Mi41IDEyMS41dC0yOTIuNSAtMTIxLjV0LTEyMS41IC0yOTIuNXpNMzUwIDYwMGwyNTAgMzAwIGwyNTAgLTMwMGgtMTUwdi0zMDBoLTIwMHYzMDBoLTE1MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI4OyIgZD0iTTAgMjV2NDc1bDIwMCA3MDBoODAwbDE5OSAtNzAwbDEgLTQ3NXEwIC0xMSAtNyAtMTh0LTE4IC03aC0xMTUwcS0xMSAwIC0xOCA3dC03IDE4ek0yMDAgNTAwaDIwMGw1MCAtMjAwaDMwMGw1MCAyMDBoMjAwbC05NyA1MDBoLTYwNnoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI5OyIgZD0iTTQgNjAwcTAgMTYyIDgwIDI5OXQyMTcgMjE3dDI5OSA4MHQyOTkgLTgwdDIxNyAtMjE3dDgwIC0yOTl0LTgwIC0yOTl0LTIxNyAtMjE3dC0yOTkgLTgwdC0yOTkgODB0LTIxNyAyMTd0LTgwIDI5OXpNMTg2IDYwMHEwIC0xNzIgMTIxLjUgLTI5M3QyOTIuNSAtMTIxdDI5Mi41IDEyMXQxMjEuNSAyOTNxMCAxNzEgLTEyMS41IDI5Mi41dC0yOTIuNSAxMjEuNXQtMjkyLjUgLTEyMS41dC0xMjEuNSAtMjkyLjV6TTUwMCAzOTd2NDAxIGwyOTcgLTIwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDMwOyIgZD0iTTIzIDYwMHEwIC0xMTggNDUuNSAtMjI0LjV0MTIzIC0xODR0MTg0IC0xMjN0MjI0LjUgLTQ1LjV0MjI0LjUgNDUuNXQxODQgMTIzdDEyMyAxODR0NDUuNSAyMjQuNWgtMTUwcTAgLTE3NyAtMTI1IC0zMDJ0LTMwMiAtMTI1dC0zMDIgMTI1dC0xMjUgMzAydDEyNSAzMDJ0MzAyIDEyNXExMzYgMCAyNDYgLTgxbC0xNDYgLTE0Nmg0MDB2NDAwbC0xNDUgLTE0NXEtMTU3IDEyMiAtMzU1IDEyMnEtMTE4IDAgLTIyNC41IC00NS41dC0xODQgLTEyMyB0LTEyMyAtMTg0dC00NS41IC0yMjQuNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDMxOyIgZD0iTTIzIDYwMHEwIDExOCA0NS41IDIyNC41dDEyMyAxODR0MTg0IDEyM3QyMjQuNSA0NS41cTE5OCAwIDM1NSAtMTIybDE0NSAxNDV2LTQwMGgtNDAwbDE0NyAxNDdxLTExMiA4MCAtMjQ3IDgwcS0xNzcgMCAtMzAyIC0xMjV0LTEyNSAtMzAyaC0xNTB6TTEwMCAwdjQwMGg0MDBsLTE0NyAtMTQ3cTExMiAtODAgMjQ3IC04MHExNzcgMCAzMDIgMTI1dDEyNSAzMDJoMTUwcTAgLTExOCAtNDUuNSAtMjI0LjV0LTEyMyAtMTg0dC0xODQgLTEyMyB0LTIyNC41IC00NS41cS0xOTggMCAtMzU1IDEyMnoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDM0OyIgZD0iTTEwMCAwdjExMDBoMTAwdi0xMTAwaC0xMDB6TTMwMCA0MDBxNjAgNjAgMTI3LjUgODR0MTI3LjUgMTcuNXQxMjIgLTIzdDExOSAtMzB0MTEwIC0xMXQxMDMgNDJ0OTEgMTIwLjV2NTAwcS00MCAtODEgLTEwMS41IC0xMTUuNXQtMTI3LjUgLTI5LjV0LTEzOCAyNXQtMTM5LjUgNDB0LTEyNS41IDI1dC0xMDMgLTI5LjV0LTY1IC0xMTUuNXYtNTAweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwMzU7IiBkPSJNMCAyNzVxMCAtMTEgNyAtMTh0MTggLTdoNTBxMTEgMCAxOCA3dDcgMTh2MzAwcTAgMTI3IDcwLjUgMjMxLjV0MTg0LjUgMTYxLjV0MjQ1IDU3dDI0NSAtNTd0MTg0LjUgLTE2MS41dDcwLjUgLTIzMS41di0zMDBxMCAtMTEgNyAtMTh0MTggLTdoNTBxMTEgMCAxOCA3dDcgMTh2MzAwcTAgMTE2IC00OS41IDIyN3QtMTMxIDE5Mi41dC0xOTIuNSAxMzF0LTIyNyA0OS41dC0yMjcgLTQ5LjV0LTE5Mi41IC0xMzF0LTEzMSAtMTkyLjUgdC00OS41IC0yMjd2LTMwMHpNMjAwIDIwdjQ2MHEwIDggNiAxNHQxNCA2aDE2MHE4IDAgMTQgLTZ0NiAtMTR2LTQ2MHEwIC04IC02IC0xNHQtMTQgLTZoLTE2MHEtOCAwIC0xNCA2dC02IDE0ek04MDAgMjB2NDYwcTAgOCA2IDE0dDE0IDZoMTYwcTggMCAxNCAtNnQ2IC0xNHYtNDYwcTAgLTggLTYgLTE0dC0xNCAtNmgtMTYwcS04IDAgLTE0IDZ0LTYgMTR6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTAzNjsiIGQ9Ik0wIDQwMGgzMDBsMzAwIC0yMDB2ODAwbC0zMDAgLTIwMGgtMzAwdi00MDB6TTY4OCA0NTlsMTQxIDE0MWwtMTQxIDE0MWw3MSA3MWwxNDEgLTE0MWwxNDEgMTQxbDcxIC03MWwtMTQxIC0xNDFsMTQxIC0xNDFsLTcxIC03MWwtMTQxIDE0MWwtMTQxIC0xNDF6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTAzNzsiIGQ9Ik0wIDQwMGgzMDBsMzAwIC0yMDB2ODAwbC0zMDAgLTIwMGgtMzAwdi00MDB6TTcwMCA4NTdsNjkgNTNxMTExIC0xMzUgMTExIC0zMTBxMCAtMTY5IC0xMDYgLTMwMmwtNjcgNTRxODYgMTEwIDg2IDI0OHEwIDE0NiAtOTMgMjU3eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwMzg7IiBkPSJNMCA0MDF2NDAwaDMwMGwzMDAgMjAwdi04MDBsLTMwMCAyMDBoLTMwMHpNNzAyIDg1OGw2OSA1M3ExMTEgLTEzNSAxMTEgLTMxMHEwIC0xNzAgLTEwNiAtMzAzbC02NyA1NXE4NiAxMTAgODYgMjQ4cTAgMTQ1IC05MyAyNTd6TTg4OSA5NTFsNyAtOHExMjMgLTE1MSAxMjMgLTM0NHEwIC0xODkgLTExOSAtMzM5bC03IC04bDgxIC02Nmw2IDhxMTQyIDE3OCAxNDIgNDA1cTAgMjMwIC0xNDQgNDA4bC02IDh6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTAzOTsiIGQ9Ik0wIDBoNTAwdjUwMGgtMjAwdjEwMGgtMTAwdi0xMDBoLTIwMHYtNTAwek0wIDYwMGgxMDB2MTAwaDQwMHYxMDBoMTAwdjEwMGgtMTAwdjMwMGgtNTAwdi02MDB6TTEwMCAxMDB2MzAwaDMwMHYtMzAwaC0zMDB6TTEwMCA4MDB2MzAwaDMwMHYtMzAwaC0zMDB6TTIwMCAyMDB2MTAwaDEwMHYtMTAwaC0xMDB6TTIwMCA5MDBoMTAwdjEwMGgtMTAwdi0xMDB6TTUwMCA1MDB2MTAwaDMwMHYtMzAwaDIwMHYtMTAwaC0xMDB2LTEwMGgtMjAwdjEwMCBoLTEwMHYxMDBoMTAwdjIwMGgtMjAwek02MDAgMHYxMDBoMTAwdi0xMDBoLTEwMHpNNjAwIDEwMDBoMTAwdi0zMDBoMjAwdi0zMDBoMzAwdjIwMGgtMjAwdjEwMGgyMDB2NTAwaC02MDB2LTIwMHpNODAwIDgwMHYzMDBoMzAwdi0zMDBoLTMwMHpNOTAwIDB2MTAwaDMwMHYtMTAwaC0zMDB6TTkwMCA5MDB2MTAwaDEwMHYtMTAwaC0xMDB6TTExMDAgMjAwdjEwMGgxMDB2LTEwMGgtMTAweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwNDA7IiBkPSJNMCAyMDBoMTAwdjEwMDBoLTEwMHYtMTAwMHpNMTAwIDB2MTAwaDMwMHYtMTAwaC0zMDB6TTIwMCAyMDB2MTAwMGgxMDB2LTEwMDBoLTEwMHpNNTAwIDB2OTFoMTAwdi05MWgtMTAwek01MDAgMjAwdjEwMDBoMjAwdi0xMDAwaC0yMDB6TTcwMCAwdjkxaDEwMHYtOTFoLTEwMHpNODAwIDIwMHYxMDAwaDEwMHYtMTAwMGgtMTAwek05MDAgMHY5MWgyMDB2LTkxaC0yMDB6TTEwMDAgMjAwdjEwMDBoMjAwdi0xMDAwaC0yMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA0MTsiIGQ9Ik0wIDcwMGwxIDQ3NXEwIDEwIDcuNSAxNy41dDE3LjUgNy41aDQ3NGw3MDAgLTcwMGwtNTAwIC01MDB6TTE0OCA5NTNxMCAtNDIgMjkgLTcxcTMwIC0zMCA3MS41IC0zMHQ3MS41IDMwcTI5IDI5IDI5IDcxdC0yOSA3MXEtMzAgMzAgLTcxLjUgMzB0LTcxLjUgLTMwcS0yOSAtMjkgLTI5IC03MXoiIC8%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%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDU5OyIgZD0iTTAgMjc1djY1MHEwIDMxIDIyIDUzdDUzIDIyaDc1MHEzMSAwIDUzIC0yMnQyMiAtNTN2LTY1MHEwIC0zMSAtMjIgLTUzdC01MyAtMjJoLTc1MHEtMzEgMCAtNTMgMjJ0LTIyIDUzek05MDAgNjAwbDMwMCAzMDB2LTYwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDYwOyIgZD0iTTAgNDR2MTAxMnEwIDE4IDEzIDMxdDMxIDEzaDExMTJxMTkgMCAzMS41IC0xM3QxMi41IC0zMXYtMTAxMnEwIC0xOCAtMTIuNSAtMzF0LTMxLjUgLTEzaC0xMTEycS0xOCAwIC0zMSAxM3QtMTMgMzF6TTEwMCAyNjNsMjQ3IDE4MmwyOTggLTEzMWwtNzQgMTU2bDI5MyAzMThsMjM2IC0yODh2NTAwaC0xMDAwdi03Mzd6TTIwOCA3NTBxMCA1NiAzOSA5NXQ5NSAzOXQ5NSAtMzl0MzkgLTk1dC0zOSAtOTV0LTk1IC0zOXQtOTUgMzl0LTM5IDk1eiAiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDcxOyIgZD0iTTEzNiA1NTBsNTY0IDU1MHYtNDg3bDUwMCA0ODd2LTExMDBsLTUwMCA0ODh2LTQ4OHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDc4OyIgZD0iTTEwMCAyNTB2MTAwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNWgxMDAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di0xMDBxMCAtMjEgLTE0LjUgLTM1LjV0LTM1LjUgLTE0LjVoLTEwMDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41ek0xMDAgNTAwaDExMDBsLTU1MCA1NjR6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA3OTsiIGQ9Ik0xODUgNTk5bDU5MiAtNTkybDI0MCAyNDBsLTM1MyAzNTNsMzUzIDM1M2wtMjQwIDI0MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDgwOyIgZD0iTTI3MiAxOTRsMzUzIDM1M2wtMzUzIDM1M2wyNDEgMjQwbDU3MiAtNTcxbDIxIC0yMmwtMSAtMXYtMWwtNTkyIC01OTF6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA4MTsiIGQ9Ik0zIDYwMHEwIDE2MiA4MCAyOTkuNXQyMTcuNSAyMTcuNXQyOTkuNSA4MHQyOTkuNSAtODB0MjE3LjUgLTIxNy41dDgwIC0yOTkuNXQtODAgLTI5OS41dC0yMTcuNSAtMjE3LjV0LTI5OS41IC04MHQtMjk5LjUgODB0LTIxNy41IDIxNy41dC04MCAyOTkuNXpNMzAwIDUwMGgyMDB2LTIwMGgyMDB2MjAwaDIwMHYyMDBoLTIwMHYyMDBoLTIwMHYtMjAwaC0yMDB2LTIwMHoiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDkxOyIgZD0iTTAgNTQ3bDYwMCA0NTN2LTMwMGg2MDB2LTMwMGgtNjAwdi0zMDF6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5MjsiIGQ9Ik0wIDQwMHYzMDBoNjAwdjMwMGw2MDAgLTQ1M2wtNjAwIC00NDh2MzAxaC02MDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5MzsiIGQ9Ik0yMDQgNjAwbDQ1MCA2MDBsNDQ0IC02MDBoLTI5OHYtNjAwaC0zMDB2NjAwaC0yOTZ6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5NDsiIGQ9Ik0xMDQgNjAwaDI5NnY2MDBoMzAwdi02MDBoMjk4bC00NDkgLTYwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDk1OyIgZD0iTTAgMjAwcTYgMTMyIDQxIDIzOC41dDEwMy41IDE5M3QxODQgMTM4dDI3MS41IDU5LjV2MjcxbDYwMCAtNDUzbC02MDAgLTQ0OHYzMDFxLTk1IC0yIC0xODMgLTIwdC0xNzAgLTUydC0xNDcgLTkyLjV0LTEwMCAtMTM1LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5NjsiIGQ9Ik0wIDB2NDAwbDEyOSAtMTI5bDI5NCAyOTRsMTQyIC0xNDJsLTI5NCAtMjk0bDEyOSAtMTI5aC00MDB6TTYzNSA3NzdsMTQyIC0xNDJsMjk0IDI5NGwxMjkgLTEyOXY0MDBoLTQwMGwxMjkgLTEyOXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDk3OyIgZD0iTTM0IDE3NmwyOTUgMjk1bC0xMjkgMTI5aDQwMHYtNDAwbC0xMjkgMTMwbC0yOTUgLTI5NXpNNjAwIDYwMHY0MDBsMTI5IC0xMjlsMjk1IDI5NWwxNDIgLTE0MWwtMjk1IC0yOTVsMTI5IC0xMzBoLTQwMHoiIC8%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%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%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTQzOyIgZD0iTTgwIDc4NHEwIDEzMSA5OC41IDIyOS41dDIzMC41IDk4LjVxMTQzIDAgMjQxIC0xMjlxMTAzIDEyOSAyNDYgMTI5cTEyOSAwIDIyNiAtOTguNXQ5NyAtMjI5LjVxMCAtNDYgLTE3LjUgLTkxdC02MSAtOTl0LTc3IC04OS41dC0xMDQuNSAtMTA1LjVxLTE5NyAtMTkxIC0yOTMgLTMyMmwtMTcgLTIzbC0xNiAyM3EtNDMgNTggLTEwMCAxMjIuNXQtOTIgOTkuNXQtMTAxIDEwMHEtNzEgNzAgLTEwNC41IDEwNS41dC03NyA4OS41dC02MSA5OSB0LTE3LjUgOTF6TTI1MCA3ODRxMCAtMjcgMzAuNSAtNzB0NjEuNSAtNzUuNXQ5NSAtOTQuNWwyMiAtMjJxOTMgLTkwIDE5MCAtMjAxcTgyIDkyIDE5NSAyMDNsMTIgMTJxNjQgNjIgOTcuNSA5N3Q2NC41IDc5dDMxIDcycTAgNzEgLTQ4IDExOS41dC0xMDUgNDguNXEtNzQgMCAtMTMyIC04M2wtMTE4IC0xNzFsLTExNCAxNzRxLTUxIDgwIC0xMjMgODBxLTYwIDAgLTEwOS41IC00OS41dC00OS41IC0xMTguNXoiIC8%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTUwOyIgZD0iTTIgMzAwbDI5OCAtMzAwbDI5OCAzMDBoLTE5OHY5MDBoLTIwMHYtOTAwaC0xOTh6TTYwMiA5MDBsMjk4IDMwMGwyOTggLTMwMGgtMTk4di05MDBoLTIwMHY5MDBoLTE5OHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTUxOyIgZD0iTTIgMzAwaDE5OHY5MDBoMjAwdi05MDBoMTk4bC0yOTggLTMwMHpNNzAwIDB2MjAwaDEwMHYtMTAwaDIwMHYtMTAwaC0zMDB6TTcwMCA0MDB2MTAwaDMwMHYtMjAwaC05OXYtMTAwaC0xMDB2MTAwaDk5djEwMGgtMjAwek03MDAgNzAwdjUwMGgzMDB2LTUwMGgtMTAwdjEwMGgtMTAwdi0xMDBoLTEwMHpNODAxIDkwMGgxMDB2MjAwaC0xMDB2LTIwMHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTU0OyIgZD0iTTIgMzAwbDI5OCAtMzAwbDI5OCAzMDBoLTE5OHY5MDBoLTIwMHYtOTAwaC0xOTh6TTgwMCA0MDB2MTAwaDIwMHYtNTAwaC0xMDB2NDAwaC0xMDB6TTgwMCA4MDB2NDAwaDMwMHYtNTAwaC0xMDB2MTAwaC0yMDB6TTkwMSA5MDBoMTAwdjIwMGgtMTAwdi0yMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE1NTsiIGQ9Ik0yIDMwMGwyOTggLTMwMGwyOTggMzAwaC0xOTh2OTAwaC0yMDB2LTkwMGgtMTk4ek03MDAgMTAwdjIwMGg1MDB2LTIwMGgtNTAwek03MDAgNDAwdjIwMGg0MDB2LTIwMGgtNDAwek03MDAgNzAwdjIwMGgzMDB2LTIwMGgtMzAwek03MDAgMTAwMHYyMDBoMjAwdi0yMDBoLTIwMHoiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTY3OyIgZD0iTTAgMHYyNzVxMCAxMSA3IDE4dDE4IDdoMTA0OHExMSAwIDE5IC03LjV0OCAtMTcuNXYtMjc1aC0xMTAwek0xMDAgNzAwaDMwMHYtMzAwaDMwMHYzMDBoMjk1bC00NDUgNTAwek05MDAgMTUwaDEwMHY1MGgtMTAwdi01MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTY4OyIgZD0iTTAgMHYyNzVxMCAxMSA3IDE4dDE4IDdoMTA0OHExMSAwIDE5IC03LjV0OCAtMTcuNXYtMjc1aC0xMTAwek0xMDAgNzA1bDMwNSAtMzA1bDU5NiA1OTZsLTE1NCAxNTVsLTQ0MiAtNDQybC0xNTAgMTUxek05MDAgMTUwaDEwMHY1MGgtMTAwdi01MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTY5OyIgZD0iTTAgMHYyNzVxMCAxMSA3IDE4dDE4IDdoMTA0OHExMSAwIDE5IC03LjV0OCAtMTcuNXYtMjc1aC0xMTAwek0xMDAgOTg4bDk3IC05OGwyMTIgMjEzbC05NyA5N3pNMjAwIDQwMGw2OTcgMWwzIDY5OWwtMjUwIC0yMzlsLTE0OSAxNDlsLTIxMiAtMjEybDE0OSAtMTQ5ek05MDAgMTUwaDEwMHY1MGgtMTAwdi01MHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTczOyIgZD0iTTAgMTUwdjEwMDBxMCAyMCAxNC41IDM1dDM1LjUgMTVoMjUwdi0zMDBoNTAwdjMwMGgxMDBsMjAwIC0yMDB2LTIxOGwtMjc2IC0yNzVsLTEyMCAxMjBsLTEyNiAtMTI3aC0zNzh2LTQwMGgtMTUwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXpNNTgxIDMwNmwxMjMgMTIzbDEyMCAtMTIwbDM1MyAzNTJsMTIzIC0xMjNsLTQ3NSAtNDc2ek02MDAgMTAwMGgxMDB2MjAwaC0xMDB2LTIwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTc0OyIgZD0iTTAgMTUwdjEwMDBxMCAyMCAxNC41IDM1dDM1LjUgMTVoMjUwdi0zMDBoNTAwdjMwMGgxMDBsMjAwIC0yMDB2LTI2OWwtMTAzIC0xMDNsLTE3MCAxNzBsLTI5OCAtMjk4aC0zMjl2LTQwMGgtMTUwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXpNNjAwIDEwMDBoMTAwdjIwMGgtMTAwdi0yMDB6TTcwMCAxMzNsMTcwIDE3MGwtMTcwIDE3MGwxMjcgMTI3bDE3MCAtMTcwbDE3MCAxNzBsMTI3IC0xMjhsLTE3MCAtMTY5bDE3MCAtMTcwIGwtMTI3IC0xMjdsLTE3MCAxNzBsLTE3MCAtMTcweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxNzU7IiBkPSJNMCAxNTB2MTAwMHEwIDIwIDE0LjUgMzV0MzUuNSAxNWgyNTB2LTMwMGg1MDB2MzAwaDEwMGwyMDAgLTIwMHYtMzAwaC00MDB2LTIwMGgtNTAwdi00MDBoLTE1MHEtMjEgMCAtMzUuNSAxNC41dC0xNC41IDM1LjV6TTYwMCAzMDBsMzAwIC0zMDBsMzAwIDMwMGgtMjAwdjMwMGgtMjAwdi0zMDBoLTIwMHpNNjAwIDEwMDB2MjAwaDEwMHYtMjAwaC0xMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE3NjsiIGQ9Ik0wIDE1MHYxMDAwcTAgMjAgMTQuNSAzNXQzNS41IDE1aDI1MHYtMzAwaDUwMHYzMDBoMTAwbDIwMCAtMjAwdi00MDJsLTIwMCAyMDBsLTI5OCAtMjk4aC00MDJ2LTQwMGgtMTUwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXpNNjAwIDMwMGgyMDB2LTMwMGgyMDB2MzAwaDIwMGwtMzAwIDMwMHpNNjAwIDEwMDB2MjAwaDEwMHYtMjAwaC0xMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE3NzsiIGQ9Ik0wIDI1MHEwIC0yMSAxNC41IC0zNS41dDM1LjUgLTE0LjVoMTEwMHEyMSAwIDM1LjUgMTQuNXQxNC41IDM1LjV2NTUwaC0xMjAwdi01NTB6TTAgOTAwaDEyMDB2MTUwcTAgMjEgLTE0LjUgMzUuNXQtMzUuNSAxNC41aC0xMTAwcS0yMSAwIC0zNS41IC0xNC41dC0xNC41IC0zNS41di0xNTB6TTEwMCAzMDB2MjAwaDQwMHYtMjAwaC00MDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE3ODsiIGQ9Ik0wIDQwMGwzMDAgMjk4di0xOThoNDAwdi0yMDBoLTQwMHYtMTk4ek0xMDAgODAwdjIwMGgxMDB2LTIwMGgtMTAwek0zMDAgODAwdjIwMGgxMDB2LTIwMGgtMTAwek01MDAgODAwdjIwMGg0MDB2MTk4bDMwMCAtMjk4bC0zMDAgLTI5OHYxOThoLTQwMHpNODAwIDMwMHYyMDBoMTAwdi0yMDBoLTEwMHpNMTAwMCAzMDBoMTAwdjIwMGgtMTAwdi0yMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE3OTsiIGQ9Ik0xMDAgNzAwdjQwMGw1MCAxMDBsNTAgLTEwMHYtMzAwaDEwMHYzMDBsNTAgMTAwbDUwIC0xMDB2LTMwMGgxMDB2MzAwbDUwIDEwMGw1MCAtMTAwdi00MDBsLTEwMCAtMjAzdi00NDdxMCAtMjEgLTE0LjUgLTM1LjV0LTM1LjUgLTE0LjVoLTIwMHEtMjEgMCAtMzUuNSAxNC41dC0xNC41IDM1LjV2NDQ3ek04MDAgNTk3cTAgLTI5IDEwLjUgLTU1LjV0MjUgLTQzdDI5IC0yOC41dDI1LjUgLTE4bDEwIC01di0zOTdxMCAtMjEgMTQuNSAtMzUuNSB0MzUuNSAtMTQuNWgyMDBxMjEgMCAzNS41IDE0LjV0MTQuNSAzNS41djExMDZxMCAzMSAtMTggNDAuNXQtNDQgLTcuNWwtMjc2IC0xMTZxLTI1IC0xNyAtNDMuNSAtNTEuNXQtMTguNSAtNjUuNXYtMzU5eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxODA7IiBkPSJNMTAwIDBoNDAwdjU2cS03NSAwIC04Ny41IDZ0LTEyLjUgNDR2Mzk0aDUwMHYtMzk0cTAgLTM4IC0xMi41IC00NHQtODcuNSAtNnYtNTZoNDAwdjU2cS00IDAgLTExIDAuNXQtMjQgM3QtMzAgN3QtMjQgMTV0LTExIDI0LjV2ODg4cTAgMjIgMjUgMzQuNXQ1MCAxMy41bDI1IDJ2NTZoLTQwMHYtNTZxNzUgMCA4Ny41IC02dDEyLjUgLTQ0di0zOTRoLTUwMHYzOTRxMCAzOCAxMi41IDQ0dDg3LjUgNnY1NmgtNDAwdi01NnE0IDAgMTEgLTAuNSB0MjQgLTN0MzAgLTd0MjQgLTE1dDExIC0yNC41di04ODhxMCAtMjIgLTI1IC0zNC41dC01MCAtMTMuNWwtMjUgLTJ2LTU2eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxODE7IiBkPSJNMCAzMDBxMCAtNDEgMjkuNSAtNzAuNXQ3MC41IC0yOS41aDMwMHE0MSAwIDcwLjUgMjkuNXQyOS41IDcwLjV2NTAwcTAgNDEgLTI5LjUgNzAuNXQtNzAuNSAyOS41aC0zMDBxLTQxIDAgLTcwLjUgLTI5LjV0LTI5LjUgLTcwLjV2LTUwMHpNMTAwIDEwMGg0MDBsMjAwIDIwMGgxMDVsMjk1IDk4di0yOThoLTQyNWwtMTAwIC0xMDBoLTM3NXpNMTAwIDMwMHYyMDBoMzAwdi0yMDBoLTMwMHpNMTAwIDYwMHYyMDBoMzAwdi0yMDBoLTMwMHogTTEwMCAxMDAwaDQwMGwyMDAgLTIwMHYtOThsMjk1IDk4aDEwNXYyMDBoLTQyNWwtMTAwIDEwMGgtMzc1ek03MDAgNDAydjE2M2w0MDAgMTMzdi0xNjN6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE4MjsiIGQ9Ik0xNi41IDk3NC41cTAuNSAtMjEuNSAxNiAtOTB0NDYuNSAtMTQwdDEwNCAtMTc3LjV0MTc1IC0yMDhxMTAzIC0xMDMgMjA3LjUgLTE3NnQxODAgLTEwMy41dDEzNyAtNDd0OTIuNSAtMTYuNWwzMSAxbDE2MyAxNjJxMTcgMTggMTMuNSA0MXQtMjIuNSAzN2wtMTkyIDEzNnEtMTkgMTQgLTQ1IDEydC00MiAtMTlsLTExOCAtMTE4cS0xNDIgMTAxIC0yNjggMjI3dC0yMjcgMjY4bDExOCAxMThxMTcgMTcgMjAgNDEuNXQtMTEgNDQuNSBsLTEzOSAxOTRxLTE0IDE5IC0zNi41IDIydC00MC41IC0xNGwtMTYyIC0xNjJxLTEgLTExIC0wLjUgLTMyLjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE4MzsiIGQ9Ik0wIDUwdjIxMnEwIDIwIDEwLjUgNDUuNXQyNC41IDM5LjVsMzY1IDMwM3Y1MHEwIDQgMSAxMC41dDEyIDIyLjV0MzAgMjguNXQ2MCAyM3Q5NyAxMC41dDk3IC0xMHQ2MCAtMjMuNXQzMCAtMjcuNXQxMiAtMjRsMSAtMTB2LTUwbDM2NSAtMzAzcTE0IC0xNCAyNC41IC0zOS41dDEwLjUgLTQ1LjV2LTIxMnEwIC0yMSAtMTQuNSAtMzUuNXQtMzUuNSAtMTQuNWgtMTEwMHEtMjAgMCAtMzUgMTQuNXQtMTUgMzUuNXpNMCA3MTIgcTAgLTIxIDE0LjUgLTMzLjV0MzQuNSAtOC41bDIwMiAzM3EyMCA0IDM0LjUgMjF0MTQuNSAzOHYxNDZxMTQxIDI0IDMwMCAyNHQzMDAgLTI0di0xNDZxMCAtMjEgMTQuNSAtMzh0MzQuNSAtMjFsMjAyIC0zM3EyMCAtNCAzNC41IDguNXQxNC41IDMzLjV2MjAwcS02IDggLTE5IDIwLjV0LTYzIDQ1dC0xMTIgNTd0LTE3MSA0NXQtMjM1IDIwLjVxLTkyIDAgLTE3NSAtMTAuNXQtMTQxLjUgLTI3dC0xMDguNSAtMzYuNXQtODEuNSAtNDAgdC01My41IC0zNi41dC0zMSAtMjcuNWwtOSAtMTB2LTIwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTg0OyIgZD0iTTEwMCAwdjEwMGgxMTAwdi0xMDBoLTExMDB6TTE3NSAyMDBoOTUwbC0xMjUgMTUwdjI1MGwxMDAgMTAwdjQwMGgtMTAwdi0yMDBoLTEwMHYyMDBoLTIwMHYtMjAwaC0xMDB2MjAwaC0yMDB2LTIwMGgtMTAwdjIwMGgtMTAwdi00MDBsMTAwIC0xMDB2LTI1MHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTg4OyIgZD0iTS0xMDAgMzAwdjUwMHEwIDEyNCA4OCAyMTJ0MjEyIDg4aDcwMHExMjQgMCAyMTIgLTg4dDg4IC0yMTJ2LTUwMHEwIC0xMjQgLTg4IC0yMTJ0LTIxMiAtODhoLTcwMHEtMTI0IDAgLTIxMiA4OHQtODggMjEyek0xMDAgMjAwaDkwMHY3MDBoLTkwMHYtNzAwek0yMDAgMzAwaDMwMHYxMDBoLTIwMHYzMDBoMjAwdjEwMGgtMzAwdi01MDB6TTYwMCAzMDBoMzAwdjEwMGgtMjAwdjMwMGgyMDB2MTAwaC0zMDB2LTUwMHoiIC8%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTk5OyIgZD0iTTEwMCAyMDBoNDAwdi0xNTVsLTc1IC00NWgzNTBsLTc1IDQ1djE1NWg0MDBsLTI3MCAzMDBoMTcwbC0yNzAgMzAwaDE3MGwtMzAwIDMzM2wtMzAwIC0zMzNoMTcwbC0yNzAgLTMwMGgxNzB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTIwMDsiIGQ9Ik0xMjEgNzAwcTAgLTUzIDI4LjUgLTk3dDc1LjUgLTY1cS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" width="100%" /> + </td> + <td align="left" valign="top"> + <div class="header"> + <h4 style="font-size: 20px; margin: 10px"> + Modelos de Regressão para Dados de Contagem com o R + </h4> + <h5 style="margin: 0px 0px 10px 10px"> + <a href="https://github.com/leg-ufpr/MRDCr"> + <code>github.com/leg-ufpr/MRDCr</code> + </a> + </h5> + </div> + </td> + </tr> +</table> + +<div id="header"> +<h1 class="title">Análise de Contagens Modelando Excesso de Zeros</h1> +<h4 class="author"><em><p>Walmes M. Zeviani, Eduardo E. Ribeiro Jr & Cesar A. Taconeli</p></em></h4> +</div> + +<div id="TOC"> +<ul> +<li><a href="#numeros-de-peixes-capturados-em-um-parque-estadual">Números de peixes capturados em um Parque Estadual</a><ul> +<li><a href="#analise-exploratoria">Análise exploratória</a></li> +<li><a href="#ajuste-de-modelos">Ajuste de modelos</a></li> +<li><a href="#comparacao-dos-ajustes">Comparação dos ajustes</a></li> +<li><a href="#avaliacao-do-modelo-proposto">Avaliação do modelo proposto</a></li> +<li><a href="#predicao">Predição</a></li> +<li><a href="#ajuste-em-separado-das-componentes-do-modelo-hurdle">Ajuste em separado das componentes do modelo Hurdle</a></li> +</ul></li> +</ul> +</div> + +<pre class="r"><code>library(MRDCr)</code></pre> +<div id="numeros-de-peixes-capturados-em-um-parque-estadual" class="section level1"> +<h1>Números de peixes capturados em um Parque Estadual</h1> +<pre class="r"><code>data(peixe) +peixe$campista <- as.factor(peixe$campista) +levels(peixe$campista) <- c("Não", "Sim") + +str(peixe)</code></pre> +<pre><code>## 'data.frame': 250 obs. of 4 variables: +## $ campista : Factor w/ 2 levels "Não","Sim": 1 2 1 2 1 2 1 1 2 2 ... +## $ ncriancas: int 0 0 0 1 0 2 1 3 2 0 ... +## $ npessoas : int 1 1 1 2 1 4 3 4 3 1 ... +## $ npeixes : int 0 0 0 0 1 0 0 0 0 1 ...</code></pre> +<pre class="r"><code>## help(peixe)</code></pre> +<p>Dados sobre 250 grupos que foram ao Parque Estadual para pescar. As informações coletadas foram refentes a presenção ou não de um campista, ao número de crianças no grupo e ao número de indivíduos no grupo. Assim as variáveis definidas são:</p> +<p><code>campista</code>: Fator com dois níveis que representa a presença (<em>Sim</em>) ou ausência (<em>Não</em>) de um campista no grupo.</p> +<p><code>ncriancas</code>: Número de crianças no grupo.</p> +<p><code>npessoas</code>: Número total de pessoas no grupo.</p> +<p><code>npeixes</code>: Número de peixes capturados pelo grupo.</p> +<div id="analise-exploratoria" class="section level2"> +<h2>Análise exploratória</h2> +<pre class="r"><code>## Estudo observacional +ftable(with(peixe, table(npessoas, ncriancas, campista)))</code></pre> +<pre><code>## campista Não Sim +## npessoas ncriancas +## 1 0 22 35 +## 1 0 0 +## 2 0 0 +## 3 0 0 +## 2 0 17 18 +## 1 12 23 +## 2 0 0 +## 3 0 0 +## 3 0 8 13 +## 1 8 11 +## 2 5 12 +## 3 0 0 +## 4 0 6 13 +## 1 10 11 +## 2 11 5 +## 3 4 6</code></pre> +<pre class="r"><code>## Resumo das variáveis +summary(peixe)</code></pre> +<pre><code>## campista ncriancas npessoas npeixes +## Não:103 Min. :0.000 Min. :1.000 Min. : 0.000 +## Sim:147 1st Qu.:0.000 1st Qu.:2.000 1st Qu.: 0.000 +## Median :0.000 Median :2.000 Median : 0.000 +## Mean :0.684 Mean :2.528 Mean : 3.296 +## 3rd Qu.:1.000 3rd Qu.:4.000 3rd Qu.: 2.000 +## Max. :3.000 Max. :4.000 Max. :149.000</code></pre> +<pre class="r"><code>## Resumo das variáveis, considerando somente as respostas não nulas +summary(subset(peixe, npeixes > 0))</code></pre> +<pre><code>## campista ncriancas npessoas npeixes +## Não:34 Min. :0.0000 Min. :1.000 Min. : 1.00 +## Sim:74 1st Qu.:0.0000 1st Qu.:2.000 1st Qu.: 1.00 +## Median :0.0000 Median :3.000 Median : 3.00 +## Mean :0.3241 Mean :2.667 Mean : 7.63 +## 3rd Qu.:1.0000 3rd Qu.:4.000 3rd Qu.: 6.00 +## Max. :2.0000 Max. :4.000 Max. :149.00</code></pre> +<pre class="r"><code>## Contagens (marginal aos efeitos das covariáveis) +p1 <- histogram(~npeixes, data = peixe, nint = 50, grid = TRUE) +p2 <- histogram(~npeixes, data = subset(peixe, npeixes > 0), + nint = 50) + +print(p1, split = c(1, 1, 2, 1), more = TRUE) +print(p2, split = c(2, 1, 2, 1))</code></pre> +<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAJYCAMAAACtqHJCAAAC91BMVEUAAAABAQECAgIDAwMEBAQFBQUGBgYHBwcICAgJCQkKCgoLCwsMDAwNDQ0ODg4PDw8QEBARERESEhITExMUFBQVFRUWFhYXFxcYGBgZGRkaGhobGxscHBwdHR0eHh4fHx8gICAhISEiIiIjIyMkJCQlJSUmJiYnJycoKCgpKSkqKiorKyssLCwtLS0uLi4vLy8wMDAxMTEyMjIzMzM0NDQ1NTU2NjY3Nzc4ODg5OTk6Ojo7Ozs8PDw9PT0+Pj4/Pz9AQEBBQUFCQkJDQ0NERERFRUVGRkZHR0dISEhJSUlKSkpLS0tMTExNTU1OTk5PT09QUFBRUVFSUlJTU1NUVFRVVVVWVlZXV1dYWFhZWVlaWlpbW1tcXFxdXV1eXl5fX19gYGBhYWFiYmJjY2NkZGRlZWVmZmZnZ2doaGhpaWlqampra2tsbGxtbW1ubm5vb29wcHBxcXFycnJzc3N0dHR1dXV2dnZ3d3d4eHh5eXl6enp7e3t8fHx9fX1+fn5/f3+AgICBgYGCgoKDg4OEhISFhYWGhoaHh4eIiIiJiYmKioqLi4uMjIyNjY2Ojo6Pj4+QkJCRkZGSkpKTk5OUlJSVlZWWlpaXl5eYmJiZmZmampqbm5ucnJydnZ2enp6goKChoaGioqKjo6OkpKSlpaWmpqanp6eoqKipqamqqqqrq6usrKytra2urq6vr6+wsLCxsbGysrKzs7O0tLS1tbW3t7e4uLi5ubm6urq7u7u8vLy9vb2+vr6/v7/AwMDBwcHCwsLDw8PExMTFxcXGxsbHx8fIyMjJycnLy8vMzMzNzc3Ozs7Pz8/Q0NDR0dHS0tLT09PU1NTV1dXW1tbX19fY2NjZ2dna2trb29vc3Nzd3d3e3t7f39/g4ODh4eHi4uLj4+Pk5OTl5eXm5ubn5+fo6Ojp6enq6urr6+vs7Ozt7e3u7u7v7+/w8PDx8fHy8vLz8/P09PT19fX29vb39/f4+Pj5+fn6+vr7+/v8/Pz9/f3+/v7///+7vjPrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAgAElEQVR4nO3de3xU5Z3H8SFWuUcuKohWK9aCtgXdWlvdLpY2artVxFar9qLSC5Z2QbGCEW2EWir10qXdaq/sqsXtIlVRijW2VvDSVsUVUReEVIXSGkQJmJDr88eemTlEJk0Oz/PMc5Jvxs/79fJkMmfynMn8+imTZHKSMQC6lOnpOwAoIxAgAYEACQgESEAgQAICARIQCJCAQIAEBAIkIBAgAYEACQgESEAgQAICARIQCJCAQIAEBAIkIBAgAYEACQgESEAgQAICARIQCJCAQIAEBAIkIBAgAYEACQgESEAgQAICARIQCJCAQIAEBAIkIBAgAYEACQgESEAgQAICARIQCJAg3UCu+1PY9b79VNj1vrUm7HpXPh92vbDWXhV4wVnrw663flbY9cxVa4teIt1APn172PU+tSTsehXLwq43YUXY9cJaPjHwgic+GHa9B08Mu56ZuLzoJQgkJAIpCoEUi0CKQSAeCCQkAikKgRSLQIpBIB4IJCQCKQqBFItAikEgHooP5IUDhnZpv4Fd7/Ox7yDx9QZ3teeAF4p+oIuex6B9w362Q9/R5afrZ/A7wq4XYh7FB/LIMRu69PyLXe/zEXq950Kv1+WeYx4p+oEufh5d373Qn67IggHmESCQ44pe4m3guO4LhHlYsJ4HgXQPAtFCIGIIREt3BLIp/2xuyTj/Jd4+xi3JP1qbUj8SgdjohkDqx4zOGTXce4m3kWGj8o/W2Pq0j0QgNniKJYanWFoIRAyBaCEQMQSihUDEEIgWAhFDIFoIRAyBaCEQMQSihUDEEIgWAhFDIFoIRAyBaCEQMQSihUDEEIgWAhFDIFoIRAyBaCEQMQSihUDEEIgWAhFDIFoIRAyBaCEQMQSihUDEEIgWAhFDIFoIRAyBaBEI5DdLIve2Fb1+aRAJZGV2KEsbuuu+6Or5QN4oOyvS9+Wi1y8NIoGMOC0ayvDAf7WgN+r5QLb1rYsc8Jei1y8NIoEcuDYayocf6K77ootAxBCIFgIRQyBaCEQMgWghEDEEooVAxBCIFgIRQyBaCEQMgWghEDEEooVAxBCIFgIRQyBaCEQMgWghEDEEooVAxBCIFgIRQyBaCEQMgWghEDEEooVAxBCIFgIRQyBaCEQMgWghEDEEooVAxBCIFgIRQyBaCEQMgWghEDEEooVAxBCIFgIRQyBaCEQMgWghEDEEooVAxBCIFgIRQyBaCEQMgWghEDEEooVAxBCIFgIRQyBaCEQMgWghEDEEooVAxBCIFgIRQyBaCEQMgWghEDEEooVAxBCIFgIRQyBaCEQMgWgJHUhjS1tLY+e7CMQGgWgJHcjgTCYz3pjV8+ZPqumwi0BsEIiW0IFcVFtbu83Un9BsFlV02EUgNghES+hApue2i6cYszlTV7iLQGwQiJbQgUyoGPqhJ03VLGPaytYV7iIQGwSiJXQgN7bUn/+utmlzoovla/NXNZxekXP8yE4/gkAKjDw+/2id0ZD2kQjERgrf5t2Yea1yRvS279b8+20PVecsPLrTmxNIgaMX5h+th9rSPhKB2AgcSPbLjlcPM7dMji6ObC3cx1MsGzzF0hI4kKqdxixcbraMqDN3VXbYRyA2CERL4EAenzTzuw9Hb5deuLCq488LCcQGgWjhpSZiCEQLgYghEC0EIoZAtBCImLCBtM57z0Hn7XR6bVwegcQIREzYQFZf2bh17AKn18blEUiMQMSEDeTJemOm/8jptXF5BBIjEDHBvwbZfsH2Dq+Nq9uWs2J8wkcRSGz8ivyjVbe3GxJI9wgcSOslZ5+5yhS8Nq4++zs7WUMSPo5AYvvHD9aw+r3ckEC6R/jvYt3Wb0fBa+N24ymWDZ5iiQkbSG30X03mNZfXxuURSIxAxIQNZPrfjPn5LKfXxuURSIxAxIQN5N5Tr7z5TuP02rg8AokRiBh+kq6FQMQQiBYCEUMgWghEDIFoIRAxBKKFQMQQiBYCEUMgWghEDIFoIRAxBKKFQMQQiBYCEdPjgbRdf0VkIIHkEYiYHg9k2z4zI30IJI9AxPR8ILl5lBFIHoGIIRAtBCKGQLQQiBgC0UIgYghEC4GIIRAtBCKGQLQQiBgC0UIgYghEC4GIIRAtBCKGQLQQiBgC0UIgYghEC4GIIRAtBCKGQLQQiBgC0UIgYghEC4GIIRAtBCKGQLQQiBgC0UIgYghEC4GIIRAtBCKGQLQQiBgC0UIgYghEC4GIIRAtBCKGQLQQiBgC0UIgYghEC4GIIRAtBCKGQLQQiBgC0UIgYghEC4GIIRAtBCKGQLQQiBgC0UIgYghEC4GIIRAtBCKGQLQQiBgC0UIgYghEC4GIIRAt4QPZdE20WT1v/qSaDjsIxAaBaAkeSNs5BxlTf0KzWVTRYQ+B2CAQLcEDWfLvhxqzeIoxmzN1hXsIxAaBaAkdyNb/qB5tTNWs6J+SsnX5q9ruXZJz7ZhOP4JACoy5Nv9o3deW9pEIxEboQBbsqn6PMdPmRBfL1+avajj/nJyJB3f6EQRS4OCJ+Ufr/Ia0j0QgNgIH8vtVpjr6h6JyRnS579bCfTzFssFTLC2BA5k4Zsyh+x7xwC2Tjakb2Vq4j0BsEIiW8N/m/e1RxmwZUWfuquywg0BsEIiW4IH85+nvmL/RLL1wYVVjhz0EYoNAtPCTdDEEooVAxBCIFgIRQyBaCEQMgWghEDEEooVAxBCIFgIRQyBaCEQMgWghEDEEooVAxBCIFgIRQyBaCEQMgWghEDEEooVAxBCIFgIRQyBaCEQMgWghEDEEooVAxBCIFgIRQyBaCEQMgWghEDEEooVAxBCIFgIRQyBaCEQMgWghEDEEooVAxBCIlqICud/pUARio5hAAs6DQGLOgdSub/fsJKdDEYgN10BSmgeBxJwDmZvZg9OhCMSGayApzYNAYs6B/P5Tv62O3TfB6VAEYsM1kJTmQSAx50DeXPbWdYudDkUgNlwDSWkeBBIr6ov07zsdikBsFPNFesB5EEjML5DtN5xX8fGPf3So06EIxIZXIOHnQSAxv0A+0++s8Rd//pjPOh2KQGx4BRJ+HgQS8wuk/FEzzZjvvex0KAKx4RVI+HkQSMwvkHcbM3Wn2fIJp0MRiA2vQMLPg0BifoF8dZO54/LtPx7gdCgCseEVSPh5EEjML5CaU2qaxmUyZzgdikBseAUSfh4EEvML5LHovzd+8eOdTociEBtegYSfB4HE/AIZkds+MN3pUARiwyuQ8PMgkJh7IE1Pb37zoIbIztsGOh2KQGw4B5LOPAgk5h5Iw4j218ad5HQoArHhHEg68yCQmMdTrIcX33nU7Vl31zkdikBsuD/FSmUeBBLz+xpkWVe3SkIgNry+Bgk/DwKJeb5YsfW+uT/8X8dDEYgNvxcrBp8HgcT8Atn50egZb5/KNqdDEYgNr0DCz4NAYn6BzD7q9k2N676xxOlQBGLDK5Dw8yCQmF8gE/6W3bZd5XQoArHhFUj4eRBIzC+Qafk3X3M6FIHY8Aqky3nsmHrgsC/WGbN63vxJNR32EYgNv0Cm557tbvyA06EIxIZXIF3OY0lV3ROjZpv6E5rNoooO+wjEhl8gP7vgj6889f2DL3U6FIHY8Aqky3nc32TMnDPN4inGbM50+DEJgdhwD2TUuTebtsv6ZDKZT/BixfCcA9nrPM6+yVTNir5CKVtXeD2B2HAP5H257brbf/yY23cVCcSKcyB7m8fGU3aZaXOiC+Vr81fUD41fmTKk09sTSIEh8YM1tH4vN2wPZI8nuvc6HYpAbDgHspd57Ji8xZjKGdGlvlvjq7Zvy1kxvtP1CKTA+BX5R2v73m7YSSBt5zsdikBsFBFIZ/Nomp59YG+ZbEzdyNbCXTzFsuH+FCsz+MAROQf149Sj4TkHkjiPlm88Xltb27RlRJ25q7LDPgKx4R7IoFPOODNn0sn8Tnp4zoEkzmNG7vnz42bphQurGjvsIxAb7oHs8Zx3qtOhCMRGMV+DBJwHgcSKCsTt9aMEYqOYQALOg0Bi7oGM3uV5KAKx4RxIOvMgkJh7IJMvuNnvUARiwzmQdOZBIDH+RqEY/kahFgIRQyBaCEQMgWghEDEEosU9kIt+Y0yXD1zrvPccdN5Oj1/QIZCYcyCJ80hCIDbcAznwz7tPdWmW/8OtVl/ZuHXsAo9f0CGQmHMgifNIQiA23ANZ+M2H1wxbk/XnT/7DrZ6sN2b6jzx+QYdAYs6BJM4jCYHYcA+k7dqyxL/Lvf2C7R6/oEMgMedA9jaPLhGIDZ8v0l99/MRVWdUf+8ebtV5y9pmrOvyCziFDcwZ3/jcmCaRA9DDlHLK3X9B5S9I8EhCIDb/vYq3Jv1na6S1v67fD/Rd0CCRm/Qs6e0qcR1cIxEbgU4/WRv/VZF5z/wUdAolx6lEtgU89Ov1vxvx8lnH/BR0CiXHqUS2BTz1676lX3nxn9Nb5F3QIJMapR7Vw6lExnHpUC6ceFRP21KNJCMQGpx4VE/bUo0kIxAanHhUT9tSjSQjEhl8gnHo0NV6BhJ8HgcR8X+7OqUdT4vly99DzIJAYvw8iht8H0UIgYghEC4GIIRAtfoE8lts28Fduw/MKJPw8CCTmF0j+N9gemO50KAKx4RVI+HkQSMw9kKanN795UENk520DnQ5FIDacA0lnHgQScw+kYUT7L7Cd5HQoArHhHEg68yCQmMdTrIcX33nU7Vl31yXc/h8RiA33p1ipzINAYn5fgyzzORSB2PD6GiT8PAgkVtS3eVe0dnJllwjERjHf5g04DwKJeQbSsGbVqlUPTnD6viKB2PALJPg8CCTmF8jvDsx/Vci/IMF5BRJ+HgQS8wvkfR+475nsqcr4FyQ4r0DCz4NAYn6B9H3B41AEYsMrkPDzIJCYXyAnbci92eB0KAKx4RVI+HkQSMwvkJdmt2TffNnpUARiwyuQ8PMgkJhfIMeVDzn88MNH9nE6FIHY8Aok/DwIJOYXyOSJl19xxRWXvNPpUARiwyuQ8PMgkJhfIL94NveG82KF5xVI+HkQSMzzB4V/vfU3xmx2OxSB2PD7QWHweRBIzC+QR8oznzbmp3c7HYpAbHgFEn4eBBLzC+RffrpltjG7znE6FIHY8Aok/DwIJOYXyNTc2S4bDnE6FIHY8Aok/DwIJOYXyNeMuciYu9/tdCgCseEVSPh55AIZddQHIr/zuEOlwy+Q6+e9+NnX7xg01elQiQMZ+svq6uqHHU99Voq8Agk/j1wgg29auXLlJ3/kcYdKh18gTadmXzs69g2nQyUP5L3HHnvswIecFixJXoGkMI9cIMuizRcIxErht3lb7rn6qjt2uR2K57w2/L7Nm848CMQ3kFknZ/9e5KP/7XQoArHhFUhK8yAQ30CG/yG73X6806EIxIZXICnNg0B8Azky99V00zCnQxGIDa9AUpoHgfgG8tk3s9ulo50ORSA2vAJJaR4E4hvIH8/7u9nxi/1nOB2KQGx4BZLSPAjE+7tY3+tTnsl8eLvToQjEht93sdKZB4H4nxfr6e9869ctbociEBue58VKZR4E4hvIMxsa3Q9FIDa8AklpHgTiG0j52L+7H4pAbHgFktI8CMQ3kC9enXvj9tARiA2vQFKaB4H4BvLc+bc8t379s6c7HYpAbHgFktI8CMQ3kHfFf5DC6VAEYsMrkJTmQSC+gXz1ivurq6uXn+x0KAKx4RVISvMgEN9AVm3KvVnsdCgCseEVSErzIBCds5oQSEzprCYEonNWEwKJKZ3VhEB0zmpCIDGls5oQiM5ZTQgkpnRWEwLROasJgcSUzmpCIDpnNSGQmNRZTQhE56wmBJLHWU20eATym6mzH+KsJmlxDyS9eRCITyC3Z//P6nKPQxGIDedAUpwHgfgEMu7rG3es/OD97ociEBvOgaQ4DwLxCeRfsmfQePUS90MRiA3nQFKcB4H4BPL13Pab2c2LTociEBvOgaQ4DwLxCeQzue3K7Gaa06EIxIZzICnOg0B8Ahl+cWzquUOcDkUgNpwDSXEeBOITSCZTtk9OGb8wlQLnQFKcB4H4BHJG+4+j6s50OhSB2HAOJMV5EIhPIEvfuo5fmArPOZAU50Eg/ieO80AgNjxPHOeBQGwEDmTH1AOHfbHOmNXz5k+q6bCPQGwQiJbAgSypqnti1GxTf0KzWVTRYR+B2CAQLYEDub/JmDlnmsVTjNmcqSvcRyA2CERLCl+DnH2TqZplTFvZusLrCcQGgWgJH8jGU3aZaXOiC+Vr81c0XXNFzucP7/T2BFLg8M/nH625TWkfiUBsBA9kx+QtxlRm/5RL3635a5pvXJAz7YhOP4BAChwxLf9o3dic9pEIxEboQJqm/yXa3jLZmLqRrYW7eIplg6dYWgIH0vKNx2tra5u2jKgzd1V22EcgNghES+BAZuTOofy4WXrhwqqOf9OFQGwQiBZ+ki6GQLQQiBgC0UIgYghEC4GIIRAtBCKGQLQQiBgC0UIgYghEC4GIIRAtBCKGQLQQiBgC0UIgYghEC4GIIRAtBCKGQLQQiBgC0UIgYghEC4GIIRAtBCKGQLQQiBgC0UIgYghEC4GICR5IW1c7CMQGgYgJHMhrNxyRPcGW38nECYRA5IQNpOaMezJRIJ4nEycQApET+inWK9lAPE8mTiAEIieVQDxPJk4gBCInlUAKTiZef8zonFHDO/0AAikwfFT+0Xpv/V5uSCDdI5VACk4mbp59ImfR+zv9AAIp8L5F+Udr3d5uSCDdI5VAPE8mTiA8xZITOpCXMo3GeJ5MnEAIRE7gQJZ9KTPzD8bzZOIEQiByeKmJFgIRQyBaCEQMgWghEDEEooVAxBCIFgIRQyBaCEQMgWghEDEEooVAxBCIFgIRQyBaCEQMgWghEDEEooVAxBCIFgIRQyBaCEQMgWghEDEEooVAxBCIFgIRQyBaCEQMgWghEDEEooVAxBCIFgIRQyBaCEQMgWghEDEEooVAxBCIFgIRQyBaCEQMgWghEDEEooVAxBCIFgIRQyBaCEQMgWghEDEEooVAxBCIFgIRQyBaCEQMgWghEDEEoiV8IG1d7SAQGwSiJXQgr91wRHP0ZvW8+ZNqOuwiEBsEoiVwIDVn3JP9w/X1JzSbRRUd9hGIDQLREvwp1ivZQBZPMWZzpq5wD4HYIBAt6QRSNSv6WqRsXXzVpg05S8Z1+gEEUmDckvyjtSn1IxGIjXQCmTYnulS+Nn9N/ZjROaOGd/oBBFJg2Kj8ozW2Pu0jEYiNdAKpnBFd6ru1cA9PsWzwFEtLOoHcMtmYupGthXsIxAaBaAkeyEuZRmO2jKgzd1V22EMgNghES+hAln0pM/MPxiy9cGFVY4ddBGKDQLTwUhMxBKKFQMQQiBYCESMXyCfOXBB5qrvulRoCESMXyJETZ86c+ZFLuuteqSEQMXqB3BhtriGQvSGQ7kEgWghEDIFoIRAxBKKFQMQQiBapQI5dUB2p6/RmbxcEokUqkPLxEydOPPgnRR+pNyMQLVKB8JNbAlFDIGIIRAuBiCEQLQQihkC0EIgYAtFCIGIIRAuBiCEQLQQihkC0EIgYAtFCIGIIRAuBiCEQLQQihkC0EIgYAtFCIGIIRAuBiCEQLQQihkC0EIgYAtFCIGIIRAuBiCEQLQQihkC0EIgYAtFCIGIIRAuBiCEQLQQihkC0EIgY5UBe2hDZnr1Um720pf1jmrLvbmjqjnvd3QhEjHAgy/cdMmTI4PdHl5r2iy4N2adm98fM7B+9278k/5UhEDHCgdx5anTpsXdHlxoyb0QXD31+98dMmx+9e93F3XTHuxWBiCEQLQQihkC0EIgYAtFCIGIIRAuBiCEQLQQihkC0EIgYAtGiF0jFKVdEuu1/JmoIRIteIEd+at68eRUl+VNZGwSiRTAQXhzXPVzmcXomq7NAzs3tIRAC6SaagXzsyy+//PLUzgKpWBTtGUMgBNJNRAP5erSZ3mkgv4ouHUMgBNJNCEQLgYghEC0EIoZAtBCIGALRQiBiCEQLgYghEC0EIoZAtCgH8n+fPScyt5OPuSu745ylRd8lQQSiRTmQO4/5wQ9+UPnuTj5m2uRoz1lv74EULZVAnj5ydOT0vR99+zHZG76vPuRn5On13F15/65Od0oH0j6QjnhxXACpBLL8g88888x9h+z96K/sH93wmf61IT8jT38Zmr0r+23rdGfvCKTtK9mnVJ/fvvtjCCSAdAKZEF1abRPI0OxhNAI5IHtX+vbmQBoy/3XrrbcO5+XVIRFIrCQC4fcPgiOQWG8M5KLDKioqxhFImggk1hsD+dip0VOqTxBImggk1hOBrJ43f1JNh+vCDCSHQBylNw8CiTkFUn9Cs1lU0eHKMANZED33qji0fSDrTsm+/w3bO3ZB9tanbXb5XMLbeXr2XpzZ+V8LSCWQFOdBIDGnQBZPMWZzpq7wykADuTR68nXIWwM5Onr3eouB5A24Obr5YY+6fC7h/WVwdCdu3bfIgbhIcx4EkucUSNUsY9rK1hVe2bMDyRtQE918XE8HEmQgLgTn8fYOZNqcaFO+Nv9OQ+4ZRUXF8SMLbrOkomLC8GHDhg0tmxjpc2K0ecf4aDPgPdFm2KHR5rDh0ea4faLbDOvz0ejiPvtHl/Z9f3Rp4JHR5pC+0buDh0SXji/L3qZfdtN/aLQZkL3hoMHRpnxgtBnSP3uY3O4+H4luvl95dGlg9jaDC2+TXyK3GTAke5vsDQcPijb7D8guscdt3jpMh9v06+w2bx0me5sh++U+4+zu4RMqKu4seFhGHp9/tM5ocHnAe988huzb/iD0H1IK83AKpHJGtOm7Nf9O20PVOQuPLrjNpurqFdd/L3JJbrMg2lw2P9pUzo0235oTba6dFW2um9l+m0uzt7n8O9Hmyqpoc82V0eY7l0ebBZe232bmddFm1rXRZs63os3cymgz/7LC21z23Wgz+9vR5uqro8282dHmu5f53pVrok3VnM7uyoKCu3JNZ3fl+hXV1ZsKHpajF+YfrYfaXB5w5tHj83AK5JbJxtSNbC28sot/0lEgladYzMNbOk+xtoyoM3dVdriSgdhIJRDm4S2ln4MsvXBhVWOH6xiIjXR+DsI8fPX8T9JRoMd/ko4CBCKGQLQQiBgC0UIgYghEC4GIIRAtBCKGQLQQiBgC0UIgYghEC4GIIRAtBCKGQLQQiBgC0UIgYghEC4GIIRAtBCKGQLQQiBgC0UIgYghEC4GIIRAtBCKGQLQQiBgC0UIgYghEC4GIIRAtBCKGQLQQiBgC0UIgYghES3cGMuaJLq38c9f7fKiv93CXe8Z0XyBdz2Nl2M824dMVWTDAPIoP5IXc35jv3KARXe/zMXBk2PUGHBx2vf5drnfkC0U/0EXP4+ABYT/b0f1HhV1vVP+w6yXM13oexQeS5NO3h13vU0vCrlexLOx6E1aEXS+s5RMDL3jig2HXe/DEsOuZicuLXoJAQiKQohBIsQikGATigUBCIpCiEEixCKQYBOKBQEIikKIQSLEIpBgE4iHdQG76U9j1rnsq7HrfXhN2varnw64X1tq5gRe8an3Y9dZfFXY9M3dt0UukGwjQyxEIkIBAgAQEAiQgECABgQAJek0gjS1tLY3BVmsLttIe64W9i9oCf66680gzkNXz5k+qCbXY4EwmMz7Qmq/dcESzaV+r+CXj9ULexRTIjkN6HikGUn9Cs1lUEWq1i2pra7eFWbPmjHsyze33r/gl4/VC3sUUyI5Dex4pBrJ4ijGbM3WBVpsecs1Xsg9gvFaIJXPrhb2LwQmPQ3keKQZSNSt6Lli2LtBqEyqGfujJUGvmHsB4rRBL5gcS9C4GJzwO5XmkGMi0OdGmvPhXw+Td2FJ//rvaAq2ZewDjtUIsmR9I0LsYnPA4lOeRYiCVM6JN363hFtyYeS3QmrkHMF4rxJL5gQS9i8EJj0N5HikGcstkY+pGtoZZLPsc8tXDQq2ZewDjtUIsmVsv7F0MTngcyvNIMZAtI+rMXZWBFqvaaczC5aHWfCnT2H7/QiyZWy/sXQxOeBzK80jz5yBLL1xYFeqHSY9Pmvndh0OtuexLmZl/aF+r+CXz6wW9iymQHYf0PHrNT9KBnkAgQAICARIQCJCAQIAEBAIkIBAgAYEACQgESEAgQAICARIQCJCAQIAEBAIkIBAgAYEACQgESFCigTw8ckNP3wXsoffOo0QD2fiVN3r6LmAPvXceJRqIaW0z5s0dPX0vsFuvnUfvDWTRWce9dFK/cb8z5lfnjt3+mQFHXrPLmKYbvjb1o4+aB847cL25rd8J9ab11H9rv9b86gsXnza1p+93qSrRefTeQJ6dWD7rxef/6cAG88K/Dpry65Xf7PMV03LaPGN+Uv7X2qrMemMeK7vU/Giuab92zZEtpvlzPX2/S1WJzqP3BmIuH9JizH2ZNcbM3bc2en9a5rV7Mi8asyVzq7k/OxAzu+xXF7Qas/vaX5c/1mZqevhel67SnEcvDuSKw6PNM5lVxlw7PPv+8sxzV2fOnTJt1lnLTXVuIPVjBmdPr7f72m3jMu+86IEevc+lrDTn0dsDWfPWQO45oPWqzOv5ffmBtH2x343Rm/ZrG6svOzxzT4/c2beB0pxHCQXy9Xnmjswd+X35gVz/ixv3W23ar31kozHNR32/h+5uySvNefTiQC4ZabIDeTAaSNkPG1t++blms2vsoHsadv1sc/TP+7PG3P/ptpYPHVPffu3NPzVm29je+hMreaU5j94byFXv7PPlDdFAJqww1/Y9bvBJ/5P9w42vf3X0IWffbRafnJl0/y8PecmYtfudtHH3tff+84e/dvHTPX2/S1WJzqP3BpLX1tLaGv+T3rnm5pbuuzcouXn09kBykgaC7ldK8yAQBFdK8yiJQK4e2NP3AHsqpXmUQiDfOypz8XM9fSfQrqTmUQqBAKkhECABgQAJCARIQCBAAgIBEhAIkIBAgAQEAiQgECABgQAJCARI8Nzj0/UAAAAFSURBVP8dQ2wF72XyugAAAABJRU5ErkJggg==" title alt style="display: block; margin: auto;" /></p> +<pre class="r"><code>## Proporção dos valores observados +(proptb <- cbind("Proporção" = prop.table(table(peixe$npeixes)), + "N. observ" = table(peixe$npeixes)))</code></pre> +<pre><code>## Proporção N. observ +## 0 0.568 142 +## 1 0.124 31 +## 2 0.080 20 +## 3 0.048 12 +## 4 0.024 6 +## 5 0.040 10 +## 6 0.016 4 +## 7 0.012 3 +## 8 0.008 2 +## 9 0.008 2 +## 10 0.004 1 +## 11 0.004 1 +## 13 0.004 1 +## 14 0.004 1 +## 15 0.008 2 +## 16 0.004 1 +## 21 0.008 2 +## 22 0.004 1 +## 29 0.004 1 +## 30 0.004 1 +## 31 0.004 1 +## 32 0.008 2 +## 38 0.004 1 +## 65 0.004 1 +## 149 0.004 1</code></pre> +<pre class="r"><code>## Disposição das covariáveis +par(mfrow = c(1, 3)) +sapply(1:3, function(x) { + barplot(table(peixe[, x])) + title(main = names(peixe)[x]) + names(peixe)[x] +})</code></pre> +<p><img src="data:image/png;base64,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" title alt style="display: block; margin: auto;" /></p> +<pre><code>## [1] "campista" "ncriancas" "npessoas"</code></pre> +<pre class="r"><code>## Contagens com relação as covariáveis +peixe$lnpeixes <- log(peixe$npeixes + 0.5) +xyplot(lnpeixes ~ ncriancas + npessoas, + groups = campista, + auto.key = list( + columns = 2, cex.title = 1, lines = TRUE, + title = "Presença de campista"), + data = peixe, + jitter.x = TRUE, + type = c("p", "g", "spline"))</code></pre> +<p><img 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" title alt style="display: block; margin: auto;" /></p> +</div> +<div id="ajuste-de-modelos" class="section level2"> +<h2>Ajuste de modelos</h2> +<pre class="r"><code>##====================================================================== +## Ajuste de modelos hurdle +library(pscl) + +## Preditores +f1 <- npeixes ~ campista + npessoas + ncriancas +f2 <- npeixes ~ campista * npessoas + ncriancas + +## Poisson +m1P <- glm(f1, data = peixe, family = poisson) +m2P <- glm(f2, data = peixe, family = poisson) + +## Hurdle Poisson +m1HP <- hurdle(f1, data = peixe, dist = "poisson") +m2HP <- hurdle(f2, data = peixe, dist = "poisson") + +## Zero Inflated Poisson +m1ZP <- zeroinfl(f1, data = peixe, dist = "poisson") +m2ZP <- zeroinfl(f2, data = peixe, dist = "poisson") + +## Binomial Negativa +library(MASS) +m1BN <- glm.nb(f1, data = peixe) +m2BN <- glm.nb(f2, data = peixe) + +## Hurdle Binomial Negativa +m1HBN <- hurdle(f1, data = peixe, dist = "negbin") +m2HBN <- hurdle(f2, data = peixe, dist = "negbin") + +## Zero Inflated Binomial Negativa +m1ZBN <- zeroinfl(f1, data = peixe, dist = "negbin") +m2ZBN <- zeroinfl(f2, data = peixe, dist = "negbin")</code></pre> +</div> +<div id="comparacao-dos-ajustes" class="section level2"> +<h2>Comparação dos ajustes</h2> +<pre class="r"><code>## Via log-verossimilhança +cbind("Poisson" = sapply(list(m1P, m2P), logLik), + "HUPoisson" = sapply(list(m1HP, m2HP), logLik), + "ZIPoisson" = sapply(list(m1ZP, m2ZP), logLik), + "BinNeg" = sapply(list(m1BN, m2BN), logLik), + "HUBinNeg" = sapply(list(m1HBN, m2HBN), logLik), + "ZIBinNeg" = sapply(list(m1ZBN, m2ZBN), logLik) + )</code></pre> +<pre><code>## Poisson HUPoisson ZIPoisson BinNeg HUBinNeg ZIBinNeg +## [1,] -837.0725 -751.6182 -752.7315 -405.2220 -395.1590 -395.5394 +## [2,] -830.3639 -743.4591 -744.0157 -404.9135 -393.5848 -394.1446</code></pre> +<pre class="r"><code>## Testes de razão de verossimilhanças para o efeito de interação +anova(m1BN, m2BN)</code></pre> +<pre><code>## Likelihood ratio tests of Negative Binomial Models +## +## Response: npeixes +## Model theta Resid. df +## 1 campista + npessoas + ncriancas 0.4635288 246 +## 2 campista * npessoas + ncriancas 0.4672296 245 +## 2 x log-lik. Test df LR stat. Pr(Chi) +## 1 -810.444 +## 2 -809.827 1 vs 2 1 0.6170103 0.4321604</code></pre> +<pre class="r"><code>lmtest::lrtest(m1HBN, m2HBN)</code></pre> +<pre><code>## Likelihood ratio test +## +## Model 1: npeixes ~ campista + npessoas + ncriancas +## Model 2: npeixes ~ campista * npessoas + ncriancas +## #Df LogLik Df Chisq Pr(>Chisq) +## 1 9 -395.16 +## 2 11 -393.58 2 3.1484 0.2072</code></pre> +<pre class="r"><code>lmtest::lrtest(m1ZBN, m2ZBN)</code></pre> +<pre><code>## Likelihood ratio test +## +## Model 1: npeixes ~ campista + npessoas + ncriancas +## Model 2: npeixes ~ campista * npessoas + ncriancas +## #Df LogLik Df Chisq Pr(>Chisq) +## 1 9 -395.54 +## 2 11 -394.14 2 2.7896 0.2479</code></pre> +<pre class="r"><code>## Teste de Vuong para diferença entre os modelos BN e HUBN +vuong(m1BN, m1HBN)</code></pre> +<pre><code>## Vuong Non-Nested Hypothesis Test-Statistic: +## (test-statistic is asymptotically distributed N(0,1) under the +## null that the models are indistinguishible) +## ------------------------------------------------------------- +## Vuong z-statistic H_A p-value +## Raw -1.5078524 model2 > model1 0.065796 +## AIC-corrected -0.9084884 model2 > model1 0.181810 +## BIC-corrected 0.1468301 model1 > model2 0.441633</code></pre> +<pre class="r"><code>## Teste de Vuong para diferença entre os modelos ZIBN e HUBN +vuong(m1ZBN, m1HBN)</code></pre> +<pre><code>## Vuong Non-Nested Hypothesis Test-Statistic: +## (test-statistic is asymptotically distributed N(0,1) under the +## null that the models are indistinguishible) +## ------------------------------------------------------------- +## Vuong z-statistic H_A p-value +## Raw -0.09895803 model2 > model1 0.46059 +## AIC-corrected -0.09895803 model2 > model1 0.46059 +## BIC-corrected -0.09895803 model2 > model1 0.46059</code></pre> +<pre class="r"><code>## Estimativas dos parâmetros e testes de Wald +summary(m1BN)</code></pre> +<pre><code>## +## Call: +## glm.nb(formula = f1, data = peixe, init.theta = 0.4635287626, +## link = log) +## +## Deviance Residuals: +## Min 1Q Median 3Q Max +## -1.6673 -0.9599 -0.6590 -0.0319 4.9433 +## +## Coefficients: +## Estimate Std. Error z value Pr(>|z|) +## (Intercept) -1.6250 0.3304 -4.918 8.74e-07 *** +## campistaSim 0.6211 0.2348 2.645 0.00816 ** +## npessoas 1.0608 0.1144 9.273 < 2e-16 *** +## ncriancas -1.7805 0.1850 -9.623 < 2e-16 *** +## --- +## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 +## +## (Dispersion parameter for Negative Binomial(0.4635) family taken to be 1) +## +## Null deviance: 394.25 on 249 degrees of freedom +## Residual deviance: 210.65 on 246 degrees of freedom +## AIC: 820.44 +## +## Number of Fisher Scoring iterations: 1 +## +## +## Theta: 0.4635 +## Std. Err.: 0.0712 +## +## 2 x log-likelihood: -810.4440</code></pre> +<pre class="r"><code>summary(m1HBN)</code></pre> +<pre><code>## +## Call: +## hurdle(formula = f1, data = peixe, dist = "negbin") +## +## Pearson residuals: +## Min 1Q Median 3Q Max +## -0.72774 -0.51588 -0.25938 -0.03287 14.70973 +## +## Count model coefficients (truncated negbin with log link): +## Estimate Std. Error z value Pr(>|z|) +## (Intercept) -1.6215 0.5960 -2.720 0.006521 ** +## campistaSim 0.3746 0.3360 1.115 0.264934 +## npessoas 1.0029 0.1551 6.465 1.01e-10 *** +## ncriancas -1.0945 0.3198 -3.422 0.000621 *** +## Log(theta) -1.0530 0.4974 -2.117 0.034266 * +## Zero hurdle model coefficients (binomial with logit link): +## Estimate Std. Error z value Pr(>|z|) +## (Intercept) -2.3087 0.4612 -5.005 5.57e-07 *** +## campistaSim 1.0179 0.3246 3.136 0.00171 ** +## npessoas 1.1104 0.1911 5.811 6.19e-09 *** +## ncriancas -2.1380 0.3107 -6.882 5.90e-12 *** +## --- +## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 +## +## Theta: count = 0.3489 +## Number of iterations in BFGS optimization: 13 +## Log-likelihood: -395.2 on 9 Df</code></pre> +<pre class="r"><code>summary(m1ZBN)</code></pre> +<pre><code>## +## Call: +## zeroinfl(formula = f1, data = peixe, dist = "negbin") +## +## Pearson residuals: +## Min 1Q Median 3Q Max +## -0.71806 -0.56103 -0.38168 0.04398 16.16367 +## +## Count model coefficients (negbin with log link): +## Estimate Std. Error z value Pr(>|z|) +## (Intercept) -1.6177 0.3202 -5.052 4.37e-07 *** +## campistaSim 0.3856 0.2461 1.567 0.117128 +## npessoas 1.0901 0.1117 9.761 < 2e-16 *** +## ncriancas -1.2613 0.2473 -5.100 3.40e-07 *** +## Log(theta) -0.5929 0.1580 -3.753 0.000174 *** +## +## Zero-inflation model coefficients (binomial with logit link): +## Estimate Std. Error z value Pr(>|z|) +## (Intercept) -11.9920 64.4408 -0.186 0.852 +## campistaSim -10.7704 64.3725 -0.167 0.867 +## npessoas 0.2902 0.7314 0.397 0.692 +## ncriancas 10.9517 64.3569 0.170 0.865 +## --- +## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 +## +## Theta = 0.5527 +## Number of iterations in BFGS optimization: 68 +## Log-likelihood: -395.5 on 9 Df</code></pre> +<pre class="r"><code>## Ajuste de preditor do modelo proposto +## Retira o efeito de campista no preditor para as contagens não nula +m3HBN <- hurdle(npeixes ~ npessoas + ncriancas | + campista + npessoas + ncriancas, + data = peixe, dist = "negbin") +lmtest::lrtest(m1HBN, m3HBN)</code></pre> +<pre><code>## Likelihood ratio test +## +## Model 1: npeixes ~ campista + npessoas + ncriancas +## Model 2: npeixes ~ npessoas + ncriancas | campista + npessoas + ncriancas +## #Df LogLik Df Chisq Pr(>Chisq) +## 1 9 -395.16 +## 2 8 -395.75 -1 1.1744 0.2785</code></pre> +<pre class="r"><code>## Refazendo o teste de Vuong para comparação de modelos BN e HUBN +vuong(m1BN, m3HBN)</code></pre> +<pre><code>## Vuong Non-Nested Hypothesis Test-Statistic: +## (test-statistic is asymptotically distributed N(0,1) under the +## null that the models are indistinguishible) +## ------------------------------------------------------------- +## Vuong z-statistic H_A p-value +## Raw -1.2007642 model2 > model1 0.11492 +## AIC-corrected -0.8206083 model2 > model1 0.20593 +## BIC-corrected -0.1512561 model2 > model1 0.43989</code></pre> +</div> +<div id="avaliacao-do-modelo-proposto" class="section level2"> +<h2>Avaliação do modelo proposto</h2> +<pre class="r"><code>## Uma pequena avaliação dos resíduos +p1 <- xyplot(residuals(m3HBN) ~ fitted(m3HBN), + type = c("p", "g", "spline")) + +p2 <- qqmath(~residuals(m3HBN, type = "pearson"), + aspect = "xy", + type = c("p", "g"), + panel = function(x, ...) { + panel.qqmathline(x, ...) + panel.qqmath(x, ...) + }) + +qqsimul <- hnp::hnp(m3HBN, plot = FALSE)</code></pre> +<pre><code>## Hurdle negative binomial model</code></pre> +<pre class="r"><code>p3 <- with(qqsimul, + xyplot(residuals ~ x, pch = 20) + + as.layer( + xyplot(median + lower + upper ~ x, + type = "l", col = 1, lty = c(2, 1, 1))) + ) + +print(p1, split = c(1, 1, 3, 1), more = TRUE) +print(p2, split = c(2, 1, 3, 1), more = TRUE) +print(p3, split = c(3, 1, 3, 1), 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>## Estimativas dos parâmetros e testes de Wald +summary(m3HBN)</code></pre> +<pre><code>## +## Call: +## hurdle(formula = npeixes ~ npessoas + ncriancas | campista + +## npessoas + ncriancas, data = peixe, dist = "negbin") +## +## Pearson residuals: +## Min 1Q Median 3Q Max +## -0.72427 -0.49730 -0.25410 -0.01439 12.19296 +## +## Count model coefficients (truncated negbin with log link): +## Estimate Std. Error z value Pr(>|z|) +## (Intercept) -1.4334 0.5719 -2.506 0.012196 * +## npessoas 1.0260 0.1552 6.612 3.8e-11 *** +## ncriancas -1.1642 0.3177 -3.665 0.000247 *** +## Log(theta) -1.1294 0.5185 -2.178 0.029387 * +## Zero hurdle model coefficients (binomial with logit link): +## Estimate Std. Error z value Pr(>|z|) +## (Intercept) -2.3087 0.4612 -5.005 5.57e-07 *** +## campistaSim 1.0179 0.3246 3.136 0.00171 ** +## npessoas 1.1104 0.1911 5.811 6.19e-09 *** +## ncriancas -2.1380 0.3107 -6.882 5.90e-12 *** +## --- +## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 +## +## Theta: count = 0.3232 +## Number of iterations in BFGS optimization: 12 +## Log-likelihood: -395.7 on 8 Df</code></pre> +</div> +<div id="predicao" class="section level2"> +<h2>Predição</h2> +<pre class="r"><code>##---------------------------------------------------------------------- + +## Região para predição +pred <- expand.grid(campista = c("Não", "Sim"), + ncriancas = 0:3, npessoas = 1:4) + +##------------------------------------------- +## Estimando as médias +aux <- predict(m3HBN, newdata = pred, type = "response") +predmu <- cbind(pred, fit = aux) + +xyplot(fit ~ npessoas | campista, + groups = ncriancas, data = predmu, + type = c("l", "g"), + auto.key = list( + columns = 2, cex.title = 1, + lines = TRUE, points = FALSE, + title = "Número de crianças"), + strip = strip.custom( + strip.names = TRUE, var.name = "campista" + ))</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>##------------------------------------------- +## Estimando probabilidades +pred <- expand.grid(campista = "Sim", + ncriancas = 0:3, npessoas = 4) +py <- c(t(predict(m3HBN, type = "prob", at = 0:20, newdata = pred))) +da <- data.frame(y = 0:20, py = py, ncriancas = rep(0:3, each = 21)) + +barchart(py ~ y | factor(ncriancas), data = da, + stack = FALSE, horizontal = FALSE, + as.table = TRUE, between = list(y = 0.5), + scales = list( y = "free", x = list(labels = 0:20)), + strip = strip.custom( + strip.names = TRUE, var.name = "nº de crianças" + ))</code></pre> +<p><img 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" title alt style="display: block; margin: auto;" /></p> +<pre class="r"><code>## Intervalos de confiança para predição + +##------------------------------------------- +## Via reamostragem +n <- nrow(peixe) +formula <- m3HBN$formula +start <- list(zero = coef(m3HBN, "zero"), count = coef(m3HBN, "count")) + +boots <- replicate(100, { + id <- sample(1:n, replace = TRUE) + model <- hurdle(formula, data = peixe[id, ], start = start) + yhat <- predict(model, newdata = predmu, type = "response") +}) + +pred2 <- cbind(predmu, t(apply(boots, 1, function(x) { + quantile(x, probs = c(0.025, 0.975))}))) +names(pred2)[5:6] <- c("lwr", "upr") + +## Viasualizando graficamente +xyplot(fit ~ npessoas | campista, + groups = ncriancas, data = pred2, + type = c("l", "g"), cty = "bands", + ly = pred2$lwr, uy = pred2$upr, + prepanel = prepanel.cbH, alpha = 0.5, + panel = panel.superpose, + panel.groups = panel.cbH, + auto.key = list( + columns = 2, cex.title = 1, + lines = TRUE, points = FALSE, + title = "Número de crianças"), + strip = strip.custom( + strip.names = TRUE, var.name = "campista" + ))</code></pre> +<p><img 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n37lqKRvVMOG7QGybOVlIevx7uLX+edAsBZYJA7gCPYtGnTkCFDyjLIPUWTa7Tw3xu4uwgV/Tx5p/ifzMxMPz8/QRAWLFgwc+bMXbt29evXr6SNZKfpLSbRFvFKxMVNVa6899OfBwBSQIEF4AjKXmBB0cxms7+/f69evbZt28Y7CwDYAcyDBQBQiMzMzPwPXV1dAwMDg4KCeOUBAPuCAgsAoBCzZs3S6XR5D9PS0pKSksLCwjhGAgA7ggILwBFYS4H8BQGUUaNGjcLCwrKzs4nIaDROnDhx+fLlzz//PO9cAGAfMAYLwL6dP39+x44dhw4dio2N7dq1a/Pmzb/66iveoRzBgwcPpkyZ8uDBg2eeeSYkJGTIkCEvvfQS71AAYDdQYAEAAABIDKcIAQAAACSGAgsAAABAYiiwAAAAACSGAgsAAABAYiiwAAAAACSGAgsAAABAYiiwAAAAACSGAgsAAABAYiiwAAAAACSGAgsAAABAYiiwAAAAACSGAgsAAABAYiiwAAAAACSGAgsAAABAYiiwAAAAACSGAgsAAABAYiiwAMDZMcZ4RyjEk1IZjUaLxcIYs1gsRqNR5lT2CFusRLC5pIICCwCcV3p6+uLFi+vUqWM2mx9fe/Xq1Xnz5i1YsKBnz56xsbEKSVWhQgVXV1eVSuXq6tqqVSvZUul0uhEjRgQHB5cvX37w4MFarbbAE3htrqcG47XFRFGcN29e/fr1K1WqNGDAgOzs7AJP4LLFnpqK1+bKEx8fP2fOnMeX8/oFKz0GAOCUHjx48Pbbb+/fv5+ITCZTgbV6vb5Vq1bW5evXr+/SpYsSUjHGQkNDU/6Rnp4uTyrG2A8//DB79myNRnP58uUqVap8/PHH+dfy2lxPDcb4bbErV658+umnBoMhNTW1QYMGX331Vf61vLZY0akYv81lJYpi3759g4ODCyzn+AtWajiCBQBOqmbNmhERES1atCh07b59+xo1auTq6kpE3bt3j4yMfPzQiPypiMjX17fCPwIDA2WIZOXn5zdz5kxfX98WLVqEhoZGR0fnX8trcz01GPHbYqIozpo1y93dvXz58l27dvXx8cm/ltcWKzoV8dtcVrt373755Zfd3d0LLOf4C1ZqKLAAAAoRHR1doUIF68+VK1dWqVSJiYl8I1ldu3ata9euQUFBbdq0+eOPP2Trt1u3bm5ubtaf79692759+/xrOW6uooMRvy3WvHlzLy8vItJoNFlZWYMGDcq/ltcWKzoV8dtcRJSWlpaUlNS4cePHCyzFfh+LgAILAKAQKSkpef9tC4Lg4+NjMpn4RrLq0aPHkSNH4uPja9eu3bt3byb7CP0HDx5kZWWNGTMm/0IlbK5CgxHXLSaK4oQJE8LCwrKysq5fv55/FcctVkQq4rq51q1bFx4eTkTWI1X5KeEXrKQKvgcAACAif39/nU6X99BgMFSqVIljnjyTJ08mIi8vr/nz59euXTsjIyMoKEi23nU63aRJk7Zs2eLh4ZF/OffN9aRgxHWLqVSqpUuXEtHWrVu7du2akpKSd0qO4xYrIhXx21wnTpxo27at9eMTBKHAWu6/YKWAI1gAAIWoXr36w4cPrT9rtdrAwED5x6M8Lv+4Ex8fn+rVq8tZXZlMpunTpy9dujQkJKTAKr6bq4hgHLdYampq3s/t2rXLzc3NP+sBry1WdCqOm+vzzz8fNmxYgwYNhgwZcv/+/dq1ax87dixvrTK/j0VDgQUATk0Uxbx/rbZv356WltarV6/z589b/7+JjIwMDQ1VqeTbYT4p1eLFi/Ouq9+xY8eqVatki2SxWCZOnPj++++XK1cuNTU1NTXVeo6G++YqOhjHLTZv3rykpCTrz5GRkVOnTrUWK3y3WNGpOG6uX3/99c6dO3fu3Fm/fn3NmjXv37/ftWtX4r25ykKQ//w9AIBCREREHDhwYMOGDRMnTuzZs2eHDh0MBkP9+vXXrFnz2muv7dmz5+DBg82aNUtPT58xY8bjA2/lT+Xn5/fll1/WqVOnYsWKbdu2fXxAt+2MHz/+u+++y7/k/PnzzZo14765ig7GcYsdPHhwxYoVLVq0eOaZZ4KDg/v06UNE3H/Bik7FcXNZbdy4ce/evUeOHJk7d+6AAQOqVKnC/Res1FBgAQAAAEhM6UfYAAAAAOwOCiwAAAAAiaHAAgAAAJAYCiwAAAAAiaHAAgAAAJAYCiwAAAAAiaHAIiL64IMP9Ho97xQFxcTETJ06lXeKQmzatCkiIoJ3ikIMHz48/yTFCpGYmDh69GjeKQqxd+/ebdu28U5RiIkTJ8bFxfHqPS4ubuLEibx6L8K2bdv27t3LO0UhRo0apcDb7qampg4fPpx3ikJERERs2rSJd4pCTJ06NSYmhneKgvR6/QcffMA7RSmhwCIiOnToUFZWFu8UBT18+PD06dO8UxTi2rVrN2/e5J2iEMeOHUtOTuadoqDExMTjx4/zTlGIGzduPH6fVyU4efLko0ePePX+6NGjkydP8uq9CNevX79x4wbvFIX49ddfFVhgJScn57/RinLcvHnz2rVrvFMU4vTp03n3olGOrKysQ4cO8U5RSiiwAAAAACSGAgsAAABAYiiwAAAAACSGAgsAAABAYiiwAAAAACSGAgsAAABAYgJjjHeGsoqOjm7btq3FYil1C3q93svLSxAECVOVncViMZlMnp6evIMUZDQaBUFwc3PjHaSgnJwcDw8PlUpZfzaIomgwGLy8vHgHKchkMjHG3N3deQcpKDc3193dvdSfo8FgUKlUpf79FEXRaDTie1d8+N6ViJK/d25ubi4uLryD/AtjLCcnx9vbu9QtqFSqU6dONWrUSMJUxeQqf5eSS01NDQgI+Oabb3gHAQD+pk2b1rhxY/udnBAAJDRx4sSEhAQUWKXn7u5etWpV3ikAgD93d3dfX1/sEACAiDge9FXWQV0AAAAAB+AgR7AAJGQ2m1UqFWNMEASljSwBAAC7gAILHIrRaFSpVK6uZfrF/vnnn3/66aeoqKgePXrMnj07/6rbt2/v2bMnIiKiY8eOPXr0eOWVV8qWFwBsSJIdgrWdnTt3Xrt2Ta/Xx8fH16tXr1+/fq1bt5YkJDgq/HUO9uGPP/7o1q1bfHx80c9566237t+/X8a+evToMWnSJEEQIiIi9u/fn3/Vc889N3PmzKpVq37xxRfW6io7O3vUqFH9+/c/cuRIVlbWt99+W8beAeCp5NwhiKI4ceJEg8GwaNGi1atX7927t0aNGnl3ki5OEnBOKLDAPoSEhLRr187f37+I5yQnJ6enpwcGBpa9O19f344dO9atW3fhwoW3b98usDYwMDDvKutffvll6NChvXr12rFjx5AhQ7p371723gGgaHLuEH799de7d++GhYVZBwy4urq+8847FStWLH4ScE44RQj2oUqVKtOnTy96rjLr1SK+vr6S9Ojp6blw4cJBgwZ9/PHH27Zty78DzR/j3XffJaIXX3zxvffek6RfAHgqOXcIt27dKjBRYrVq1YYNG1b8JOCcUGBBid28eXP79u23b9/W6XQ9evQYN25cQkLChg0bLl++nJGR0aZNm1mzZpUrV+7cuXO//PLLpUuX1q1bN3/+/GvXrjVo0GDGjBmBgYGzZ8+OioqqXbv2zJkz69evT0RHjx797bff7t69u3nz5rlz5547d65ChQpvvPFGaGiou7v7xYsXDxw4cOnSpQ0bNlSrVs36/DNnznh6eiYkJFSuXHn69OmnTp1auXIlEfXo0YOIFi9eXLFixcdTFXgvc+fOTUpKWrlyZaH7x+rVq8+ZM2fq1KmzZs1aunRpoQPeC33vRMQYO3DgwL1798xm8/3795s0aRIeHq7A6SsBysjhdwgBAQFqtXrVqlWDBg3y8/MjIkEQrBNyFkhSovcIDg+nCKFktmzZsmPHjlmzZu3bt2/hwoU3b94koi+++CI8PHzfvn3ffffdqVOn9u7dS0Q1a9b08PBITk5eu3btuHHjduzYkZaWNmXKlO+++2706NE7d+7U6/V5Q8jr16+fnZ2dnJy8ZMmS7t27L1++vGPHjmvXrl24cKF1bY0aNTIyMqxPjomJWbVq1Zw5c6ZPn7506VK9Xk9E7du3t/5NeejQoaNHjzZt2rTQVAWoVKqiZy7u1KnT4MGDz507t27dukKf8KReli1bduXKlcmTJ0+bNu2rr7769ddfJ0yYIIpiqbY6gEI5ww7h3XfffeGFFzZu3Ni5c+devXpNmzZt+/bt1l4KJCnRewSHhwILSuDu3bvLly+fMmWKt7e3IAjNmze3nhebMWNGcHAwETVt2rRt27bWQUtVqlRp1qwZEY0YMaJ+/frVq1fv27dvXFxcWFhYgwYNqlWr1r9//5iYmOzsbCKqUaNGo0aNjEbjuHHjOnfu3KxZswkTJvTu3Xv//v0ajSYgIKBp06Z5MeLi4jIyMm7evMkYc3FxGT16dKFpC01VwKxZs5YvX1704f0xY8Y0b9587dq1586dK2YvDx8+3L59e9++fa0tBwUFhYeHX758udAWAOyUk+wQfHx81q5du3Xr1k8//bRZs2Z379799ttv33vvPa1WWyBJid4jODycIoQSOHPmjLe3d1BQUN6Szp07E1FwcPDRo0cvX76sUqni4+MDAgKsa61/C1oPqluflv+hdZRobm6u9UC9i4tLuXLl8l5LRK+88sru3bvT0tL8/Pzy/1nZsmXLKlWqDB06tFKlSq1aterevXuVKlUeT/ukVCXl4uLy5ZdfDhw4cObMmdu2bSvQV6G9WPf11vebl5mIbt26hZkdwGE4zw5BEITnnnvuueee6927tyiK69atW7NmzaVLlzp37lzgiFeJ3iM4NhzBghIwGo3Z2dnWY+N5srOzBw0adPv27QkTJlhvA/eklxf4u/Cpw0ItFktAQECNGjUKLPfz89uyZcuqVau6dOly+fLlMWPGnDx5ssBzip+qOMqXL//ll1/qdLqPP/7YaDQ+tZecnBwiyjtxQETWS5lwqRE4EifZIWi12vzfepVK1b9/f8pXNhWhpO8RHAkKLCiBZ599logiIyPzLzx+/Phff/01bNgw6w3PrbWFJC5cuNC/f//Hh5Zfu3YtJSWlVatWEydO3L9/f/Xq1fNPQmOxWCRJxRjL/9B6kuLOnTtff/113sIn9VKvXj0iioqKyntmQkKC9RxKSWMAKJaT7BBOnDhx69at/EsePXrk7+/P5f7BYEdQYEEJdOjQoXHjxt9+++2JEyfMZnN2dvb169etq44cOZKenr5ly5bo6GjrHo2IrH/2mUymQh/mX2il1Wp37dplMplEUTx8+LBWqx06dOjjr7179+6FCxesy7Ozs1UqVYcOHYjIuus8ceLE77//bn1+oanyW7BgwYQJEwrUUkSk0WgeHycxYMCAzp07W68NzL/88V6aNGny0ksvbdmyRa1WExFjbOfOnYMGDbIWXgCOwUl2CDqdbuvWrenp6daHjx49WrRo0Zdffunl5fXUN/XU9wgOzGXOnDm8M5TV33//ffDgQet0RGBTKpWqS5cumZmZP/zww/r160+fPl2rVq1XX331r7/+2rNnT3R0dGho6N27d69fv+7m5hYTE7N79+6UlJTk5OSqVaueO3du9+7dycnJSUlJgYGBlStXjo2NPXr0aHJyckBAQNWqVa9cuXLt2rXk5OTly5efOXPm+eefHzZsmPWv1SNHjuzcuTMhISEpKcnPz8/Ly+vHH3/cv3//7du3f//997Fjx9aqVYuIgoODo6Ki9u/f7+np+cEHH9y7d+/xVE2aNMn/jiIjIzUazZtvvpn/0P2+ffu2bNly8+bNxMTEunXr5s2jIwjCyy+//Ouvv2ZmZlovUKpRo0ah771p06YdO3ZMS0vbunXr3bt3b9682bBhwwEDBuAEgQwiIiKqVKny4osv8g7i+Jxkh0BEV65cWb169aFDh6KioqKjoydPntygQYPHk0RFRZXoPcr4WTmvvXv3vvHGG7Vr15a/a+Hxv93tztmzZ8PDw7du3co7CJSMdc6CvAP+6+l/GkMAACAASURBVNev37Fjx/Hjx7mGerrc3Ny//vqrcePGqJaUKSwsrEWLFk+6lAwUy053CCVS4D2CDAYOHLhixYouXbrI3zWuIgRu7HQv4+npWeCvXgAoOzvdIZSIM7xHyIMPGwAAAEBijnCKcM+ePf369fPx8eEdBMrEYDAYjUap7iQITkun07m6uuKuRPYOOwSQhE6n27VrV58+feTv2hFOEYaEhLzwwguLFy8udQsZGRn+/v5KO3hrMplyc3MVuH/R6/UqlUra/8B27tz5888/P3r0qH379r179358qpviyMrK8vHxKfrWN/Izm816vb44U+bILDc3VxRF65VWiqLVaj09Pa136i2FyZMn+/r6lvryHaf63klCo9F4e3u7ukr5v0nZdwgWi0Wn0ylw5jlH/d7ZiCiKWVlZ1nkES+eTTz6pXLmyhJGKzxEKLCJijHXq1KnUL09MTAwODlZagWU0GjUaTYUKFXgHKUij0ahUKmkPGZbl48uTnJwcFBQk7Y6+7EwmU2ZmpnUGZ0XR6XSiKCqw8ktNTfXz83N3dy/dy729vS0WS6l/o5zqeyeJlJSUgIAAaf9jLvsOwWw2p6en57+bgkI46vfORkRRTE5ODgkJKXULZrNZwjwloqySAgAAAMABoMACAAAAkBgKLAAAAACJocACAAAAkBgKLAAAAACJocACAAAAkBgKLAAAAACJocACAAAAkBgKLAAAAACJocACAAAAkBgKLAAAAACJocACAAAAkBgKLAAAAACJocACAAAAkBgKLAAAAACJocACAAAAkBgKLAAAAACJocACAAAAkBgKLAAAAACJocACAAAAkBgKLAAAAACJocACAAAAhWKpqbwjlBIKLAAAAFAiUaOhnw/zTlFKKLAAAABAiVR+fsLgQbxTlBIKLAAAAFCiBEHgHaH0UGABAACA4hguXCStjneK0kOBBQAAAIpj+vNP8vXhnaL0UGABAACA4mjChvKOUCYosAAAAAAkhgILAAAAFIRpdfF2OztDHhRYAAAAoCCm+/eFRg15pygrV94BAAAAAP4n9fmmvCNIAEewAAAAACSGAgsAAACUQrf6e94RpIECCwAAAJRC06Qx7wjSQIEFAAAAivHKK7wTSAMFFgAAACiAKKrNZt4hJIMCCwAAAPjLOXiIoqN5p5AMpmkAAGVhJhPvCADAgVujhlS3Lu8UksERLABQFnb9Bu8IAMBBsgNVV4QCCwCURtPOQYa4AkDxiampvCNIDAUWACiJxcI7AQDITdRqE7dt551CYiiwAEApWE6O+rvlvFMAgNwEDw8KC+OdQmIY5A4ASsFMJnqvP+8UACC3BHd3cnfnnUJiOIIFAEqR6OdHlSvzTgEAsjLHxZEDTX+VBwUWACiCmJ5OjPFOAQBy0+/4L7m48E4hPRRYAKAI2lWrSRR5pwAAuemmTCZB4J1CeiiwAEARskeOcMi/YgHgKdzceCewCRRYAKAMFSrwTgAAsmIGg/rSJd4pbAUFFgBwxsxmdWws7xQAIDfjxd+pXDneKWwF0zQAAGeGyONUsQLVrMk7CADIKq19O94RbAgFFgBw5vFqZ0cdhAEATgunCAGAswRUVwDOJyfiIO8ItoUCCwB4Mpw9yzsCAHCQkZPDO4JtocACAH5EMe3add4hAICH/v14J7AtFFgAwI9KRaNH8Q4BAHJT8w4gAxRYAMCNM+xkAaCA3N9OUkwM7xQ2hwILAPgwXrpECQm8UwCA7Mwmql2bdwibQ4EFAHyYY2OpUiXeKQBAbuldujjkzQcLwDxYAMBHZt++vCMAANgKjmABAACAHFhOjvq75bxTyAQFFgDIjeXmxm/bzjsFAMiN5eRQn968U8hE7gJLFMV58+bVr1+/UqVKAwYMyM7Oti6/evXqvHnzFixY0LNnz1jc9hXAoVkSE4U2rXmnAAC5JQYFUZUqvFPIRO4xWNevX8/Nzb1x44ZWq33llVdWrFjxySef5OTkjBgx4uzZs66urhs2bAgPDz927JjMwQBANsm4rzOA82FaHfn68E4hHw5HsGbNmuXu7l6+fPmuXbv6+PgQ0b59+xo1auTq6kpE3bt3j4yM1Gq1MgcDAAAA29EsW0aiyDuFfOQ+gtW8eXPrDxqNJisra9CgQUQUHR1doUIF6/LKlSurVKrExERfX98CrxVFcdu2bbm5uQWWx8TE6PV6vV5f6lSMsZycHEFhV41aLBZRFMvyvmzEbDYLgqDAYIyx3NxclUpZIwstFgtjTIGby2QycfkF0y9cZJoxvYgnWD9Hs9lcuvZFUaxUqVKp35fZbFbm985kMqlUKgUGs35eJpOJd5B/EUVRsd87ZQYTRdFgMJT6e1ccWYM+YBYLWSzFfwljTFW2zaXX6w8dOvTnn38WWO7l5TVw4ECb/n/BYZoGURQnTZoUHx9vMpmuX7/+yiuvpKSkBAYGWtcKguDj41Pod9VkMl28ePHxjz8xMdFsNpfx620ymZRWYFl3EErbbRGRxWIRBEGBwaybS2kFlpI/Ry7BdG+/JRa5h2WMmc1mxljp2meMeXt7l/p98dosT6XYXyTr5yUq7MiEYjeXYn/BZPgczZUqlai6ylOWzSWKYmxsbHp6eoHlrq6u/fr18/DwKHXLT8WhwFKpVEuXLiWirVu3du3aNSUlxd/fX6fT5T3BYDBUKmz6QQ8Pj5UrVz6+/OzZs2PHjvX39y91pJycHD8/P6X9x2w0Gi0WS1nel41oNBqVSmU9vasoBoPB19fXeq5ZOUwmU2ZmpgI/R51OJ4qin5+fzP1mt2hR9BP0er2Pj4+7u3vp2ndxcYmLiyv1BjcajRqNRoGfl2K/d0aj0cfHx83NjXeQf7H+1a3Az5HX9+6pTCZTuXLlSv29ewqzWZ2U5Fnyj4MxJghCWT5HHx+fjz76qG3btqVuodTkLilSU1Pzfm7Xrl1ubq7RaKxevfrDhw+tC7VabWBgYN4BLQBwHKKoVt6ZEQCwtdzI4xTvdLcelbvAmjdvXlJSkvXnyMjIqVOnBgUF9erV6/z589aB7ZGRkaGhoUo7mAQAZZfzy1G6WXAkBAA4PI9X2lKrF3mnkJvcJ1O6du06ePDgFi1aPPPMM8HBwQsXLiSikJCQlStXjh07tlmzZunp6XPnzpU5FQDIwL1pE6palXcKAJBbgvJObctA7gLr7bfffvvttx9f3rt37969nWV2VwDnlITqCsD5GKOi6GkjLx0SzsQBgBzM9+/zjgAAsrNYUs+c5R2CDxRYAGBzLCcnae8+3ikAQHYuLjR+HO8QfKDAAgCbEzw9hbEf8U4BAHJzuksH80GBBQA2pxYEsuWEfgCgQMZr1+mfeQOcEAosALAt0507pNU9/XkA4FhM16/TP/fBc0IosADAtnKPHqNy3rxTAIDcsgZ9QC4uvFNwo6ybigCA49GOG8s7AgCA3HAECwAAAKTETCb1jz/yTsEZCiwAsBVmMMT/dpJ3CgCQm+Xvv6lhQ94pOMMpQgCwFdONG0JwRd4pAEBurrVr847AHwosALCV1JYteUcAAA6cefqrPDhFCAAAAJLRLPmGdwRFQIEFADaRvWUr7wgAwIGufTveERQBBRYA2ERWSAjvCADAw4sv8k6gCCiwAMA2XuvKOwEAyE1tMvGOoBQosABAehjiCuCEDKdO0/kLvFMoBa4iBACJ5R47RlWqUKNGvIMAgKxcnqlKNWvyTqEUKLAAQGKqwEDMMQjghJIx/VU+OEUIABJLbdmSBIF3CgCQlSU5mXcEZUGBBQBSYrm5vCMAgNyYyZS0fgPvFMqCAgsAJMN0uoRVq3mnAAC5CS4u9NEY3imUBQUWAEhHEGjwIN4hAEBuapWKfH15p1AWFFgAIJmEcuWoQgXeKQBAVua4h6TV8k6hOCiwAEAaloQEslh4pwAAuel/+IHc3XmnUBwUWAAgDd36Dbh4EMAJ6aZOIQ8P3ikUBwUWAEgje/x4UmGXAgBAhAILACTj68M7AQDISxTVZ8/yDqFQKLAAoKyY0RgffZd3CgCQm+nPP3lHUC7cKgcAyir3WKRQvRrvFAAgN7cmTXhHUC4UWABQVl5vvpHBOwMAyE/NO4CS4RQhAJQVdrIATki/dx/vCIqGAgsAyiQ3MpJ3BADgAMeti4YCCwDKQBTT43EAC8AZCe/24h1B0VBgAUAZqFT04WDeIQBAbvi76qlQYAFA6WEnC+CEjFFRdOkS7xRKhwILAErJcOYMxcfzTgEAcmNGIzVrxjuF0qHAAoBSEtMzqEoV3ikAQG5pL71Erpjm6SmwgQCglDJ6vM07AgCAQuEIFgAAABSP2az+eiHvEPYBBRYAlBjLzlZv3MQ7BQDIjRmN1Kc37xT2AQUWAJSYmJbOOnfmnQIA5CZ4e1OdOrxT2AeMwQKAEkuqXk3gnQEAZMa0ugRvL3Jx4R3EPuAIFgCUDDOZeEcAAA60339PRiPvFHYDBRYAlIwGQ1wBnJLuw8Hk5cU7hd1AgQUAJZP9Xn/eEQCAh+Bg3gnsCQosACihunV5JwAAeTGmjonhHcLOoMACgGIzm9VZWbxDAIDcjJcv0z0UWCWDqwgBoLhyDv3EatUSnm/KOwgAyMqtWTNcPFhSKLAAoLg82r0ilC/POwUAyC0Bdx4sOZwiBIDiSkR1BeB8jL9f4h3BLqHAAoBiMd26xTsCAHCQcvo07wh2CQUWADwdy8lJ+eUo7xQAwIEweRLvCHYJBRYAPJ3g5UXjxvJOAQBgN1BgAcDTqYlwDRGAszHfu6e+c4d3CnuFAgsAnsJ49RppNLxTAIDcjNdvUI0avFPYKxRYAPAUxosXydeXdwoAkFvmu71w88FSw8wWAPAUmhHDeUcAALAzOIIFAAAA/8aYestW3iHsGwosAHgilpMTf/gI7xQAIDcxI4MaPsc7hX3DKUIAeCJTdLRQtw7vFAAgN1VQEAUF8U5h31BgAcATpb7wAu8IAMCBmncAB4BThAAAAPA/2pWryGjkncLuocACgMLp1qzlHQEAONC2aU3u7rxT2D0UWABQOE2DBrwjAAAPLVrwTuAIUGABwBO0b8c7AQDIjel0vCM4CBRYAFAIDHEFcEKmGzfUxyJ5p3AQuIoQAArK+eknqladmjbhHQQAZKWqUEHA2ACJoMACgIJca9Sgxo15pwAAuSVVrsw7guPAKUIAKCgF1RWA8xHVGBogJRRYAPAvYlYW7wgAwEHq5i28IzgUFFgA8D+iVpu4cRPvFADAw/jxvBM4FBRYAPA/grs7DQnlnQIAOGC+PrwjOBQUWADwPwkeHuTvzzsFAMjKkpyclZ3NO4WjQYEFAP/PHBtLZjPvFAAgN/2Pu5mXF+8UjgYFFgD8v+ztO8jFhXcKAJCbdsxo8sH5QYmhwAKA/5f98VQSBN4pAAAcAQosAPiHmxvvBAAgN3Uk7o1jEyiwAIBYbq76xg3eKQBAbpb4eDJbeKdwTLhVDgCQ4eQpVqMGzg4COBuXqlWpalXeKRwTCiwAoPRur6G6AnBCuDmO7eAUIQAAgDPS795Nosg7hcNCgQXg7HIOHuQdAQA4yHT3IBXKAFvBlgVwboxl5OTyDgEAPPR4m3cCR4YCC8C5CQL168s7BACAo0GBBeDUMMQVwAmZY2LUR4/xTuHgUGABOC/zyZP09yPeKQBAbqJGQ21f5p3CwWGaBgAnZhGp2jO8QwCA3FKbNeMdwfHhCBaA88p6vTvvCAAgN2Yy8Y7gFFBgAQAAOJGERYt5R3AKKLAAnJGo1aZv2co7BQDIThSpfz/eIZwCCiwAZ8T0ehFT4AA4IZWK6tThHcIpyF1g6XS6ESNGBAcHly9ffvDgwVqt1rr86tWr8+bNW7BgQc+ePWNjY2VOBeBskipVouBg3ikAQFYsO1udi4mFZSJ3gXX48OGQkJCYmJijR48eP378iy++IKKcnJwRI0ZMnz59+vTpPXv2DA8PlzkVgFNhWh3vCADAgW7TZtLh6y8TuQssPz+/mTNn+vr6tmjRIjQ0NDo6moj27dvXqFEjV1dXIurevXtkZGTekS0AkJzm2295RwAADrT9+1GFCrxTOAu558Hq1q1b3s93795t3749EUVHR1f45yOvXLmySqVKTEz09fV9/OXx8fEGg6HAQrVabbFYLBZLWYJZLBbGWFlakJwoioyxMr4vW2CMiaKowGBEZLFYBEHgneJfRFEkIkVtLu2QUBJFxpj1o+Qdp6Cy/4J5enqW+uX43pWCAoNZ8ygtFfH+BRODgugJX3ll7hAYYy5l+xwtFotarb5//36B5R4eHlWrVi1buqfgNtHogwcPsrKyxowZQ0QpKSmBgYHW5YIg+Pj4mAqbpSMnJ6d169Z6vb7AcrPZHBwcnJqaWuowjLH09PRSv9x2RFEsy/uyEWslmpOTwztIQaIoZmZm8k5RkHVzKepz1AcGkl5PRIwxs9nMO04hMjMzS10om0ymZs2alXqDK/DzshJFURAEBX7vGGMZGRlK+8OGlL3/zOUyECo2Vt+o0ZNWMsb4pHoaV8bK8jmazeZPPvnk8f8a/P39b9265eXlVbZ0ReFTYOl0ukmTJm3ZssXDw4OI/P39dfnOChsMhkqVKj3+Ki8vr0ePCrmtx9mzZ8eOHVvoS4opMTGxYsWKKpWyrqk0Go0ajaaC8g7najQalUrl4+PDO0hBycnJQUFB1nPNymEymTIzMytWrMg7CBERMxrVmVnWz85oNDLGrN9BRdHr9UFBQe7u7qV7uZub25UrV0q9Q8D3rqRSUlICAgLc3Nx4B/kXs9mcnp4erLwrOXQ6nSiKfn5+MvdrjolJfhDr07r1k56g1+s9PDxcXFzkTPVUjDFBpyvL/+8eHh5r1qxp27athKmKiUNJYTKZpk+fvnTp0pCQEOuS6tWrP3z40PqzVqsNDAzMO6AFABLKiTgoJCXyTgEAcnOtUYP69uGdwrnIXWBZLJaJEye+//775cqVS01NTU1NNZlMvXr1On/+vHVge2RkZGhoqNIOJgE4hsxu3ahJE94pAEBualdXUtjRKYcndx0zadKklStXvvTSSxX/ERUVFRISsnLlyrFjxy5btuzq1atz586VORWAs/BV3AkmALA1w9mzvCOUliiyCxd5hygluUerLFu2bNmyZY8v7927d+/evWUOA+BUjFFR1KIF7xQAILe06zeIxyAkCXz5Ffv9Er3Tk3eO0sCZOACnwHJyUs5f4J0CAHgYNZJ3glLZvIUOH1Et+pp3jlJS1vVWAGAjgpeX8NEY3ikAAIrn1Gm2eAnt3U2FTYppF3AEC8ApqHkHAAD5WRIS1Jcu8U5RYiz6Lhs1WlixnOrW5Z2l9FBgATg+48XfKSuLdwoAkJvp5k2qU4d3ihJKS6PQUGHKZOrQnneUMkGBBeD4THfukL8/7xQAILf0rl0pKIh3ipIwGtmwcOrcmYaE8o5SViiwABxf1oeDeUcAAHg69sk08vUT5jnCbE0osAAAAByQbv0G3hFKaPX3wvXrwsoVjjEnKgosAEfGdDr1gQjeKQBAbsxg0Dxbj3eKkjjyC61ZQxs3Osx8yJimAcCRmR88oBee550CAOQmeHhQu3a8UxQXu3qNJk4SNm+i6tV4Z5EMCiwAR5aCOw8COCV7mpklMZGGhgnz5lCrF3lHkRJOEQIAADgU3YaNLDmFd4riyclhQ4YKfXpT3768o0gMBRaAw9Is+YZ3BADgQPNiSyG4Iu8UxcAYjZ8gVK1K0z7hHUV6KLAAHJauvd2MwPiflFSP17qL8fG8cwDYMzsZG8CWfEPx8bRiOakcsBrBGCwAx/WivQ1o0OvZB4Msr3dXVa3KOwqAvWJanV1ciMf27KVdP9ChCPL05J3FJhywZgQAEkW12cw7RAmJIo0bT3XrmCeM5x0FwF5Z/n6UsHs37xTFEBVFn80RNqyjSpV4R7GVYhVY58+fL7AkNzeXMWaDPAAgAf3+AxQdzTtFCS1cxBKThCWLSRB4RwGwV4KvD/VT/GjxuDg2JIwWfm0vpzJLp1gFVq9evQosOX369Pjx+CsTQKHcmzahRo14pygBtn0H27OXNqx31JMFAPJIDAigcuV4pyiSVstChwhhQ4U3XucdxbaeWGCZTKZr166p1Wq9Xs8Yy80nOzs7MTFxwwZ7m4MfwGkk163LO0JJnDtH8xcImzbYx3VPAEpljnvIO8LTWCw0arTQtCmNG8s7is09cZC7xWLp1q1bUlKS9aGXl1eBJ7z88ss2zAUApWVJTqbgYN4piu3BAzZqjLDiO/s65AagQEmbNwuzZ/FOURT2+XwhN5cWL3KGkQBPLLA8PT1/+OGHR48eubu7T58+ffbs2fnX+vj4vPrqq7aPBwAlI2ZlJe3cZTd/HWZlsdChwsgR1Lkz7ygAdk+YNJF3hCJt2UpHj9JPB8nNjXcUORQ1TUP79u2tP7i7u/fo0UOWPABQJkK5cjQsjHeK4jGb2chR1KYNjRrJOwqAQ/BR8OwMZ86wRYuFvbspMJB3FJkUa5B7odXVypUrpQ4DAGWV4OpK3t68UxQLm/YpiUyY/znvIAB2T8zMVMfE8E7xZDExbPRHtPw7qlePdxT5FHUEa9myZU2bNq1WrVpkZGSBVQaDYcOGDWPGjLFlNgAoGdOdaKpT2y4Ov7N16+ni78LBA+SK6Y4Byir3l6PU7hXeKZ4gPZ0GDaZxY4WOHXhHkVVRu7bvv//+7bff7tu376hRo2QLBACllrN/v33c0uvYMVqxgg4coIAA3lEAHEFm/368IzyBycSGhVPHjoK9DF2QTlEF1p9//qlSqUwmU/v27SMiIvz8/IR/hv3n5uaOGDFCloQAUFw6u6iubt9mEyfTurVCjeq8owCAbbFPppG7hzBvLu8gHDxxDNaQIUNSU1OJyM3NrWfPnv7+/kK+iyo9PT3HjRsnR0AAcCQpqSx0qDBrptCmNe8oAA4i9+gx3hGeYM1a4epVYe0a5xwJ8MQC66efftJqtdafFy5c+PgTEhMTbRUKAEqIZWero6J4p3ianBz68EN643VS7OkMAHvDdLo0jYZ3isL8cpStWkWbNtnFnadt4YlF5YwZM1avXt2jR4+goCCTyXTz5s38a3Nzc1euXPnmm2/aPiEAPJ3hwgWqWZN3iiIxxiZMopAQYdZM3lEAHIfg4yP06c07xWNu3WKTpwjr11H1aryjcPPEAmvcuHHz58/v1KmTKIpE1MSh78gIYO/SlT/x79JldP++sH8vqYo1OwwAFIead4BCJCayQR8Ks2dR61a8o/D0xAJLEISZM2eOGDEiJiZm0qRJBc4S5ubmfvnll7aPBwCOgO3bT9t3CD8dVPptaAHsSs7Bg9SxI/n68g6ST04OGzKUer1D/fryjsLZU8adVaxYsWLFimvWrGncuHGBVVlZWTZLBQAloP/xR+qr4H3ZH3/QrNnCju1UqRLvKAAOJYNIWdWVdSRA5crC9E95R+GvWAP7H6+uiKh3b+Wd9AVwQoxlenjyDvFk8fEsLFz4+ktqimEGAFJ7+23eCf7t26UYCZDHGa+cBHAogkA9FLaTzaPVsg8GCYMHES6IAXB0bN9+2vFfjATIgxoTwL4pcYirlcVCo8cITZrQhPG8owA4GktycvzWbbxT5GMdCbBhPUYC5EGBBWDHcn76mR7+zTtF4dgX85lGS4sWUr45igFAEiw7W3i9O+8U/8BIgMLgFCGAHVP5+Sp0mpktW+mXo8KhCPLw4B0FwAEl16rFO8I/tFoaNBgjAR6HAgvAjqW1a8c7QmFOn2aLFgt7d1NQEO8oAA6ImUzk5sY7BRH9/0gAatwYIwEeh1OEAHbLYuGdoBAs+i4bOZqWf0f16vHOAuCYNF8Xcv86LtiCL1mWBiMBCoUCC8AuiZmZ6v+s4Z3iMWlpFBpKkyYKHTvwjgLgsLLf6887AhER27pNOHxY2LQBIwEKhVOEAPbJbFbcRMlGIwsfTp06CWFDeUcBcGh16/JOQHTmDC1cRHswEuCJUGAB2KXEChV4RyiIfTKNfHyFz+fxDgLgsJjBkJCbS/7+nHPcv89Gf0TfLaNnMRLgiXCKEMD+iKmpvCM8ZvX3wvXrwsoV5OLCOwqAw9L/8AOlp3MOkZXFQocKH40ROnXknETZUGAB2B/tylW8I/zbkV9ozRrauJF8fXhHAXBkWT16EN8JGkwmGhpGL79Mw8N5xrAHOEUIYH+yx4zmHeF/2NVrNHGSsHmTQmfkAnAkvE8Osmmfkqub8AVGAjwdjmAB2CHlDMBKSKChYcLnc6nVi7yjADg4082bfAOwtevo90vCmu/JFUdnng4FFoA9Ybm56kePeKf4h17PhoQJ/fpSnz68owA4ODE9PeXUaZ4Jjh2jlStp21buR9HsBQosAHuSE3GQdDreKYiISBRp/ASqXYs++Zh3FADHpwoKotGjuHV/+zabOFn4z3+EGtW5ZbA3OMoHYE8ye72jkFtksEWLSZ0g7PkRMzgDyEDNse+UVBY6VJg1k1q34pjC7uAIFoBdUUh1tXsP7d4jbFxPnp68swA4PuPvlyg3l0/fBgMbFk5vvE79+/EJYLdQYAHYDcOZM7wjEBHR+fM0+zNh43oKDuYdBcApGP/4g88fM4yx8RMpKFCYNZND73YOBRaAfWC5ual3onmnIIqNZSNG0ZLF1Lgx7ygAzkIzcgSfjr9bTjExworlpEK1UGIYgwVgHwRPT2FYGOcQGg0LHULDw4XXu3NOAgC2tv8AbdokHIygcuV4R7FLqEkB7APPIa5WZjMbOUpo3Vr4aAzvKADOQtRo1MePc+j4yhU2YybbtImeeYZD7w4BBRaAHTCcPEWZmXwzsDlzyWSm+V/wjQHgVMzR0fRsfbl7VatZWLjw9ZfC803l7tqB4BQhgB2wJCZSh/Y8E2zcRL+dFA5FYAZnADmlvij7PRKys1noUHp/AL31ltxdOxbsKwHsQCbfC6QjI9mSb4QD+ygggGcMALA1i4WNHC08R+9M0AAAIABJREFUW48mT+Idxe7hFCEAFOnOHTZhEq1dQ3Xq8I4C4Fx03/9H5h7ZV19TZiYtWYwJhMsOBRaAookajXr3bm7dp6ay0CHCjOnCS224ZQBwVppGDeXsTti+gw5E0Pp15OEhZ7+OCqcIARTNEh9PL73Ep2+jkYWFC92704D3+AQAcHLt2snWleriRWHRYtr9oxBcUbZOHRsKLABFS3nuOT4dM8bGTaCgQJo9i08AAOcm68wsDx64j58ofvuNS/1n5ezWseEUIQAU5rvldO+esPw7zOAMID/9jz+y6LsydZaVxUKHmsOHUaeOMvXoHLDrBFCurPkL+HRsncF50wby8eETAMC5ZT73nCDPwSSzmY0cRW3amMOGytGdM0GBBaBc2T3e5tArZnAG4E6ue32yaZ+SRRTmfy5Pd04FY7AAFKxJE7l7/GcGZ8IMzgCciFlZ5O8vQ0dsw0a6cPH/JxA2GmXo0angCBaAEjGzWZ2bK3ev1hmcB76PGZwBeBEzMhI2b5Gjp8hI+napsHkjJhC2ERRYAEqUs3cfi42TtUvrDM71nxUmTZS1XwDIR/D0FIaE2rwbTCBsezhFCKBEmW1fFqpWlbNH9uVXlJVF69ZgBmcAjhK8vGzexz8TCFOb1jbvy4nhCBaAIslcXW3dRgcPCZjBGYAr84MHZLHYtg+jkQ0bLnTrhgmEbQ0FFoDimO/fl7W/M2do4SJh6xaqWEHWfgHg37J3/NfmM89N/ZgCAuiz2bbtBVBgASiNmJGR9PNh+fq7f5+N/oi+W0bP1pOvUwAoTPbHU216jp59t5z9eUtYgQmE5YAxWADKovLzE4aHy9OXkJFBHwwSxo7BDM4AiuDmZsPGD0TQhg3CoYOYQFgeqGEBlEXt4kLu7nL0ZDK5jhrNOnSgcJnqOQB4EpaTo75504YdXL3Kpn0qrFuLCYRlgwILQEGMV6+RySRPXy4zZjI3d+HzefJ0BwBFyP3tJLm42Kp1tZoNHSYs/IpatrRVF/AYnCIEUBDDb7/RC8/L0dOatapr10w//ujiip0AAH8Zr3e3VdN6PRsSRu/1p7d53HrLiWHfCqAg2gnj5ejml6Ns1Srznj3MF0MxAByaKNL4CVS3jjB1Cu8oTgenCAGczK1bbPIU4T//YdUwFANAEXIOHrRV0wsXsYREYcliTCAsPxRYAIogarXx5y/YvJvERDboQ2H2LGrdyuZ9AUBxMJahy7ZJw9t3sD17acN68vS0RftQNJwiBFAEY9QfVKuWbfvIyWFDhtK7vahfX9t2BADFJwg2mVT9/Hmav0D4cRcFV5S+cSgGFFgAipDesYNtj+AzxsZPpCpVhE+n2bQfACgRtS0ajY1lI0cLK76jRo1s0TwUB04RAjgFtuQbIf6RsHIFZnAGUI7cX3+lvx9J3KhGwz4cQsPDqXNniVuGksCuFoC/7C1bbdo+27OXdv2AoRgAimO2kLSXm5jNbOQooU1rYcxoKZuFkkOBBcAbY1khITZs//Jl+myOsGEdVapkw14AoOTSX+sqcYtz55HJTPO/kLhZ+anVbM68yqLIO0fpYQwWAG+CQJLvZPPExbGhw2jh19Skia26AACF2LSZnfhNOHiA7H8C4coBATTjU2bPs0vgCBYAZzYZ4mql0bAPQ2lYmPDG67brBABKgel06rVrpWzx+HG2eImwaQMFBkrZrMwiDla4fLkKkeDtLdj01te2hwILgCf93n0s7qFNmjabadRooVUrYdxYm7QPAGUg6nT0xhtStcbuRLNxE4RVK6luXana5KJi3TrujnLDRBRYADxlVntGqFHdJk3P+5wZjLRgvk0aB4CySQoJoapVpWkrNZWGDBFmzqD27aRpUGYGA0UcrEJUhcitYUPeaSRj96dpAezbiy/apNnNW9jxX4VDEQ4wFAPA8TCdjnwkuhOo0cjCh9Orr9pktlJZVLgT7fKigxy1yg9HsAC4Ybm5Nmn3+HG2aLGweaN9D8UAcFyab5dK1RT7eBr5+Qtz50jVoHzi4kitrkLk/nxTl8qVeaeRHgosAD7E1NSEDRslb/b/h2KsXGHvQzEAHJhu8GBJ2mErV9GNG8LK5eTiIkmD8jGb/U+drhwczDuHDeH0AQAnbm408H2J20xNpSFDaMZ06tBe4pYBQDrSjLw88ouwbh1FREh2tlEeD/+uUr0aubrSoA94R7EtbkewGGO8ugZQgkR/f/L3l7JFo5GFDxe6dBHeHyBlszIzmwWzmXcIAFthZnNaVpYE7Vy9xiZOojX/kXgieFs7dCjo/n3eIWTCocBKT09fvHhxnTp1zPl2o1evXp03b96CBQt69uwZGxsrfyoAOVni4yVvk039hPz8ac5nkrcsH5PJe+ZsPxtsHACFMG7eImSWucBKSKChYcLnc211lYzkDAYSxSpEVd56y7NjB95pZCJ3gRUbGxsaGlqvXr0HDx7kLczJyRkxYsT06dOnT5/es2fP8PBwmVMByEy3foO0DbLlK+jmTbscipFPFTe3gK8WCBUr8g4CYBNqIu2okezZemVqRa9nQ8KEfn2pTx+JctlYenq5+Qsq6/W8c8hN7gKrZs2aERERLVq0yL9w3759jRo1cnV1JaLu3btHRkZqtVqZgwHIKXviRCmbOxBB69cLmzba2VCMPEeP+W/aXIV3CgAbEbOyNAu+VJtMUrQl0vgJVKsmffKxBK3JokpQkP+8uYKd7p3KQBGD3KOjoytUqGD9uXLlyiqVKjEx0dfXl28qABvylW5fc/Uqm/apsHWznQ3FyKdyxw6CuzvvFAC2kujqShPGkxQ3fmGLl5A6QdjzIyn/Jn2bNgdWquT1enfeObhRRIGVkpIS+M+EPYIg+Pj4mAqr9HNycrp27Zr72NRBOp3OZDKlpqaWOgBjLD09vdQvtxHGmMViKcv7shGLxSIIwuMfBHcWiyUjI0NQ2H6n4Oeo12fpdKxmTUkaFxISPIaEmT6fa2nYkEp4BJ4xZs0mSZISM5lcN24q1+Ntwc8v7d9rzGZzVlZWqT9Hs9ncpEmTUn9x8L0rKYvFkpmZqfTvHZcMajWLidF06/b/xZBeT2X73rnsP+D2w4+GPT8yUSzp9/2pRFHMzc2V6nMM0OtZ927Zrq7ZZf4IGGNl+Rz1ev2kSZMe3+BeXl5Hjx718vIqW7qiKKLA8vf31+l0eQ8NBkOlSpUef5qXl9fKlSvNj11hdO3atW+++ca/DBdkpaWl+fr6qlTKmhXMZDJlZ2eX5X3ZSHZ2tiAI3t7evIMUlJ6e7uvr66KwQUhms1mr1eZ9jrlHj7m3bkUeHhI0rdcLo8bQgPdce/UqxTfZ+meMG6fbqVYymVivd1RVCjkxmJmZWa5cuVIHc3FxiYuLK/UXB9+7ksrIyPD5P/bOOz6qKv3/nzO9t0wmk0mZBNIoCQGkBykCFqQoYkdBsaCirn1dd7+/3XXd5u7aUJFiw15oIoKKShHpECCQUNInbdJmJtPvPb8/JhuzdJI7JeG+X7585ZXMPc8hk3vnc855ns+jUolirGcAwzCtra3RfR/r9u6lV1wh/d+bvev33S87BM//hX78oSQ5LHvVXq9XIpF083OQNNixYkXCwwu5KpFmWba5ubk776NIJLr//vvz8vJO/35Y1RViRGClpqZu3Lgx9LXT6dTr9fqzOFAPGjTo9G+G/iy6+TkhFotjTWBRSgkh0fr8OwcCgUAgEMTgxAghIpEo1h70ADq/jw233sKNAGRZ/OYxmplBnnyia4cFDMNQSiOtR202HD5smTwZZ3epCL2PXf4DI4S43e4uX87fdxdLN9+vMEEIidb7yNTUCAyGGqlUMGXKGX7atfuuvJwueAAv/lNwmlDgCkKIQCDo5gPBrJCThxdyeOLPsiy6tw6USCRZWVmnZH5HhuhIitCvLPR/ANddd9327dtDie3ffffd3LlzY03r8PDEHH//B62rJ/96sQekYnQi7tjxxIKCaM+ChydcMPX1dR9/UsPtusXppHfOxfy7yTVXczksd9AffzLu22cBBBoNn0/ZQRTW+mvWrFm9ejWAZ555ZsaMGePGjTObzYsWLVq4cOHgwYObmpr++Mc/Rn5WPDwRwPvdd5g0qfvj0BUfYOUqfLUWMln3R4sEe/cm5uYSsZi3mOfp3dSZTPjNo1yOGAzi/gVk2DA8vJDLYTnFZIwTDxwY7VnEHFEQWNOnT58+ffqyZcs6f3PWrFmzZs2K/GR4eCIG9XqbGrhIuf35Z7zwV/LZJzD1EL+oyipdyTEyZEi058HDEy48q1Y3MQyZdT33Q//5eerzk7++wP3I3cTnwzcbLDOmAwCvrs5EzGWr8PD0VohMhltu7u4opaV0wYN47VUMGMDFpMIJpWhuthgMSEnGzTdFezY8PGGkeeo1JBz5Xu++R7/7nny1BrGXWmo8clQwMOafQlGFT3Xi4YkQtu4P0dpK75xHFtxPJk7o/mBhZ/FbxorKaE+ChydsMEzb2+/YWlpsACceV6eyZQt98V/kneU4S9VXVKDlFairswCS/EGivn2jPZ2YhhdYPDyRwLvxWzQ3d2uIQAB3z8fo0bj/Po4mFUYsgOX++yT5Zyj75eHpHVCPp3XEcOh0YRm8uITe/wBefQWZ3eurwy0Mo123LjH2TExiE15g8fBEgiavt5vLUPrbZ6lQRJ7/E1dTCgf0aLHyz8/zTW94ejPBoH/fPhtQo1Khf/+whGhsxNy5ePwxEjt9kauqLIBFKFQ9sID0lNqaaBNzx7o8PL2T6dO6czVdshQ7dpK1q2MwFaMzSTnZ+P1z0Z4FD08Y8axf38xRJ4Yz4/fTe+7FxInkrnlhjHJRrFpt0GgQHoPTXkxMP6x5eHgAYOO3WLQIq1eH6TCCA95515iXK+HrBHl6MQwDwCYUYlq3FkvnhT79DFRq8qcYsCtiGBBiEQgwc0a0p9Ij4Y8IeXjCi+f9Fc7Cwq5ff+QIfexxsngxsaZyNykusQDmqVN5dcXTi6Feb/Wzz9m6mUZ5Iby5mBQWkkWvIeotv5qblX/7e2Ibxx0PLyn4HSwenjBiA5jbbmVOa6B5oTTY6dy7yO+fw4jhnM6LCxob6eo1SXfNAyCIN0Z7Njw8YaRGJiN//2vYw2zYiMWLsXo11KqwxzofFr0ev3s22rPo2fA7WDw83MPU1Dj+8c92X4YuZ015PLjzTky9BjfdyNnMuCO+oSGRPzjg6dUEjhbb3n2PA4OVC6GoiD7+BBYvRmpKZAKemY8/MWz8lq9T4QR+B4uHh3vqRGIsfKhbQ1BKH30MZjN57nccTYob6NFiIpNa0tKQkxPtufDwhJd6uZzMuT0SkWpr6Zw7yf/9HsOHRSLcWUhgGPH11/HNBLmC38Hi4eEM3/bttsOHbQDijZDLuzXWf17CyZPk1VcQU43PKdXt2pVo4de3PL2ZQOFBW3W1DSDW1EjcgB4PnXcXrr8Os2eHPdYZabDTv7ygc7kA8OqKQ2Lp2c3D08NpBDjpYEO/XEk//IiseA9KZfdH44ayMgtgIUQ553b+EczTmwkG6wsLkZgYoXCU0kd+A4uF/PaZCEU8DbNUYnnk4dhay/UK+F8oD0+3oMGgd9MPtlAnnFGjOBhxzx784f/I8mVISOBgNE74/ntDaVm0J8HDE17Y5mYbYBOJyO23RUxt0H//h1RXkUWvRV7f0B9/Mu7aZQEEGg1RRT+tvvfB52Dx8HSLmh07YIrnbLiqKjr/Xvz9b8jL5WzMLsOyoNQiFOKKK6I9FR6e8OL98aemuroIF5TQL1fi40/w1RpEwxvdKJNJhkUz5avXw+9g8fB0Bba1NbTexZgxGDiQm0GdTjrnDnLnHWTqNdwM2B08HuULfzVHwPiHhyfa2ICm8eMiXa7bvle9NKJ71T4fVq+xABZAOnJE5OJekvACi4fnoqGBQM2779WKxVwOyjBY8ADJy8MjD3M5bFexyOXa534nMPIGVzy9F0od//q37cSJKEQur6B3zcff/4bciO5VGwsLTQPC0z+R5zT4I0IenouAejxELq8Ri8nDCzke+c9/IV4vXvwnCOF25Itj3Tqd06W4+aZozoGHJyLYCMHcOxEXF+nATifmziV3zUPE9qob7GAZS0IC+DPBCMLvYPHwXCjulats674Oi+vge+/j22+x5C1wuyt28SSOG8erK57eDXW73Z9+1n4jR15dMYz44UdIbi64XqSdI6Jm5cpEjSZC4Xj+C7+DxcNzQdgAXDczLJtLW7bQf75Ivvwcen04hj8/fj8WvZ54z3yiUoEvJuLp7dhKjpGxBVEJTfcfEL34LzQ3Y9nSSOxVN9gt8UYIhbj3nrDHCgO7TjYOFGohjfY8ugq/g8XDcy7Y1tbW5/9iczjCND4tLqH3P4BXX0FmZphCnJdEnz/hxtl8nTZP74a63Ux9vQ0g+YMiZ3PVwbZt9OZbybx5dMTw4AcrumtEfAHQdV/rd/wS7ijho97hddmCMlG0m153A34Hi4fnXNSq1fjtM+HqbN/YiLlz8fhjZPy4sIx/TkhtLTl+3DJxItQqYQw0l+XhCSu21xaRu+ZFOmowiFWr6BuLwQTJQw9i5kyGZSmlYYzIshAILEDkErw4pbbF4/IFMxi1CTJTH1l4f1dhht/B4uE5A97vv7etW2cDIBCES135/fSeezFxYhQe+gAA7YEDeq4MJnh4YhsbQJ56EpGsivV66dJldOzl9J33yDNPkU3f44Ybut76/QJpblY8+5w5bDvuEWDn3sYkryLas+AGfgeLh+cMNOXkICkprCHo089ApSZ/+mNYo5yBI0csWVkQCl0TJrAsG+noPDwRJHDwYP36b8hTT0Y0qtNJ31qC99/HoHzy8suR7N9s0evxtxciFo4rPH5mf3nzKKURwPSc5GhPhzN4gcXD0w4NBt0ffdR6660QCsOtrvD6G6SwEKtWhWt77GyUl+uKjqBfv4gG5eGJEg05OSSSRlPNzXjjTfre+xg3jqx4nzML4vPy8Sd6tVreM88EARTub0nR9JJdq87wAouHp52aujp6+TgSAcXzzQYsWYI1axCxzCeWhcNh0elgtcJqjVBQHp4o4d20ya7TebKzlRHzPampwRtv0s8+J1MmY9VKkpMdobiABaDTpxFFzxMoPx9rGCwxyMXCEckRN8uICHwOFs+lDlNTEyg8aAOQlESsqeEOR/cfoL95DG8tRkoEd8JffiW+qipy4Xh4okqTTof8/AgFO3ECjzxKJ1wBgGzcgJdfipC6cjjoP/5pYVkAPVFd1Tu8bCPk4h5cJHhe+B0snkudui1bcfVVEQpWU4O77iZ//mMk/ZQtAH7zaMTC8fBEC//u3fbLLgOAIUMQ/vxCuv8A/vMSdu/GXfPI1s0RzaAHzH4/WbAAgh62S3Ky3uUNMP2J1gSZKTUKLa4jSQ97b3h4uCJYVmYL2YfeOBtqdSRCut103t3kphtxww2RCHfokPLPz1siEYmHJ/oEiooaGuwRCrZ1K515PebdhbEF5Jft5PHHIqeu9u417t1rAQRGI+mB7ioni12ZNCLP2xiA38HiuRTx7z9gLy9HWlrkQrIsHnkUfdIRqYImS04Ofv9cZGLx8EQRGgjUiMXo35/0D3MbY0rx3Xd00RuorsZ995Jbb0HEz+bifH7JqJERDtpN3L7gzpON47UJACb1NUd7OpGDF1g8lxIsS/3+GpkM+YOQPyiiof/5Iq2pJZ9/Gu7+GHT52/GD8yWDB4fdcYeHJwZwvvKqs2AMhgwJb5iQX+ibbyEYCPmFRvT+Yhj88INl0iQA6GnqCsDRQ45+am20ZxEF+EcwzyVE65+fb5tzO/r0iXBc0Sef0s+/IOvWQhbenAMLwFx1pdDCHwzyXBLYgLC3TPb56PsryPLlVG8gTz+JK66IfNqTcf/+CCd4dR+Wpd8eqr1ca5KLhUMSDdGeTnTgBRbPpYINwP/9IdJRGxvJO++Kly0nH66AyRSuKA4HvtlguXE2AF5d8fR62JYW15uLXU8/Fd79YKeLvvVWyC8UL71EIugX2k6DHYAl3oihQyMduts0nvAlBuW9u0jwvPBJ7jy9HN/Wrba3ltgiHpcWl+DJp+iYsaio9K14L6xF4/FVVeYrp4RvfB6emKI2GHQ9+GAY1VVLC/3Xv+mYAhQeJEveIu++HUk39nYYRv3BB2aZNNJxu0dxjeNgZQtsiFfK8sy6aE8nyvA7WDy9nMaRI1FQELl4oVyNZcthb6T33Uv+8HtWoWC93nCEosUlRKW0JCUh3Lm9PDwxAFPfwFRV2ocMCeN5WW0tXn+j3S/004+RkxOuQOegudmi10MoxKOPRCF697CX+0Yk97DTzPDBCyyeXggNBp0vvey67VYkJkYuF9XhoO+vwIoVMMaTBx/AVVe1h2aYsIRjGN3OHYpbbgnL4Dw8sUfttm1k8qRwjX7yJF5+hW7YSG6cTTZ8g9SUcAU6N2vX6ikwfVp0oneJljb/9uP2q+MtAMakxkd7OjEEL7B4eiE1AL3jDmKK1K1eWYUlS+jnX5DJk7B4MfLC3PusssqSkgyhEHPmhDdQZHF6g5/8Un57nzSFXwFNtGfDEzOwTU0Cvd5GCLluZlgCFB6k//o3du3C3XdF3i+0MxYA03qStApRfcwzSsPvWp0BPgeLpxdRbfOuXmMDIBJFSF1t2ULvnEevuhoyGdZ/jZdfCru6WrfOUHw0vCGihKAWN1lTZaJLOiuW5xSYyqqaJUttYbJl372b3nwrvfU2DB9GdvwSUb/QzrS0KP/0Z3NLSxRCdxWWpWv3VnvKGdgwwKTVySTRnlEswu9g8fQenG0u/9RrIrFo6Ei0amrGPfPJolehUoXX3ophAFiEQkydGtY4EYZl6aLvSq5NSkrXq5QS/nHEcyp1Kcnk6ac4HrTDL7SqCvffR5YvjbxfaGcsOh3+8PsoTqALtJwMZAjVl3iR4Hnhn2g8PR7f5i2Nwy6DXM4OHgxJmBdSLS102XKs+ABWK3nsNxEyxXG6FM//RfPUE4jrPT3nfQFGKhYKasnCgRHpjMvTo3CvXNWiUmLyZI7HZRisXEkXL4HfTxY+iBkzIBZzHOLC+eorg1Qq4/zfGE72lTUJBYI8kc6gkBgU4X3Ysiz9pdq+pqi6ss3xwUM90v+dF1g8PRumvqGxtQVyedgjHT+OJUvpmrVkymS8+07YjwI7YVGr8Pe/RixcBPhiZ0UqUQ5L6j16kYdbWiZOgJZT7+//+oVCrydPPREVv9BTSBw/nqh6WDPBYAMdZAm7J3uty/vV0aq1xdUSoeDa7KQ7+/XUBwUvsHh6JDQYZCoq6vv0gSk+7GmhW7bQpcuxdy/m3kl++iGMfqGnsPFbvd8nv/baCIULM5TiWJ0zy6yGDbOSU6M9HZ7Yg1L3J5+2XDcTUimX6srjocvfJkuXIjsHL70UBUerzhw8KNz4rXb+3RqpFD1EXTU4vL8cb5xmTgIQ1kWRJ8BsOFaz6mhlRat7Sob571MG58RrKKV1wrrwBQ0rvMDi6ZHUfPQRRo8Obwyfj372Od57Hz4f7plPXn8NSmV4I/4viaNH9bgF7jnYsdMuFgoQnmRlnl4A09DQkpUJKWfWmqS1lb65GO++h8GDsXhxFKzYQ3g82LQJU6ZYxGLk5rrS09kw5eyHh9aKwHhDQlhDlNgdXx6p/O54bb947Zz89ILUeGmvKHbhBRZPT4K63UShsAHhdShoaqJvv0NWrEB2Dnny8YieJgQC9M3Flvl3E7m8pyxwz4EvwGworLk6wSIWCEam8IXcPGeC0mBFRb3VCpOJs+3h2lqy6HX5Z5+TK6fgk4/Qrx83w14Ufj/EYhBiqqlhk1MkUUz2uniCDP1iV8U0c5JCIsowqMMUxe0Pbjxeu+poZa3TOy0naenMkWn6iC5iww0vsHh6DMFjx+o+/Yw8+9vwtcigxSXk9dfpho1kxnS8/x4ZODBMgc6G2emk119HIpBSFhGaTvrzZHpxtJNdeGIZ9yeftgzgrhVBaSleeplu2IjZN3hXrZTnRKmE4vhx5Qcfap54nCiVke8u333ayoMjNUZF2Ap7d1U3riqq2lbRkJugm5OffrnVJBb2wqcEL7B4egz1mZnkd8+GZehQ2fayt1FURO+8g2zZjPjIbrdUVqGq0jJqFAw9vu18kKEf/Fw6wZiQqlUmqnuJUuQJEzYAN9/EyVC0uAT//g+2bMHdd5Etm9k4A+vxcDLyhU6gvoF88IF53lyBToeMjCi0lu82e8qa5U5JfqJeKxNrZdxvubV4/WuPVn9VXO0LMtdmJy0YkZmsiaZBRrjhBRZPrON85VXnqJEYFp78Ca+XrvgA775HxCLywAJMfyfsRg9nQl94QDZuXOTjhgNSgxmWZJ2cNx7kOSusw+F44W/u3z0LNRfn4Hv20Fdeay9D+dsL0OsBIDJ5TpRi3z6kpVkMBhj0WPhQ5HpzhQFNm3RAIvcdminFblvjqqKqnysbRqfEP1HQb2iiQSAIr3VgLNCD/xR4LgVsAB5YEJZnVm0tlr9NP/kU+fnkhedRUBC+k8ezcuSIJScHhPQC+9AV20ozxZoRyXFCAeHVFc+5qVWp8Jc/Q9i9ROZT/EIjXoYCwNzS4m9ulublAeih0qqqyb3zROP1SSkKtyLHyFmFQYiQ4cI3x2oo6Mx+Kb8Zk2NUcBwilumRfxA8vZ5gaaln1Wrnbx4FwvDYOnIEby6mG78ls28gK7+IWobE8ePa3Xuik37LHa3ugFYhhg23p6dHey48sU7w2LFA0ZHmGdO7WzUS8gt9aym8XvLwQ5H2C3U4FH//h2r+3aL0dOj1siuuiFzoMOC3sVMTLNyOybD0x7K6VUVVh+pbxqcnPH15/6EWgyDyK9howwssnlikXqXGQw9yPCjDYP16unQ5Kitx1zzy++ei1tXV5bKoVMjIQEZGdCbAEVuK6/317BV9e6TJMk/kqfd6MfWabg0RDNKPP8HrbxCdNqIVvn4TAVL/AAAgAElEQVQ/fWuJadIV4pwcaDT4y/ORCBo2/EH20x3lM5JS1BJRHwOX1crVDs+qI5XrS2w6meSGAakvTB6klvak8klu4QUWTwzhWfd1c042+vblOMfc7aYffoS334FMRhbcF+X+GC+9HH/llB69cbWvrCnfaiA1GKs2IVwV3Dy9h0BxidCcUKvVIrcb/Q88HvrBh1iyFGYz+ftfMXYsdxM8O7W1oNSSmAiRiL39NoGO+/ykqOCvYicZzWruigQDLLu5rH5VUdXhhtYpGeYXrxqSE6/havCeCy+weGIGlm2KiyN9+3I5ps2GNxfTz7/A2LHkP/+OsokzYAHw6CPRnUM3OXnI1eZiCJ9kxXNh0La2+i1byNw7uz5EaytduizkF0pefSVydzHLajf9IL/6KgAQCHqBuvrxSJ22TTzYYlBJRCqO1NWJJudnhyu+P1GXrldek5n0tyn5fNf2DvhfBE+UoT6fb9vPTRMnQCAgI0dwNu7evXTxEmzeTGbfQL7+CmlpnI188QiKilQ//Kh56skozqE7sJRuLKwZojCYlLI+BhW3Zwo8vRUaCNSIxVAqyfy7uzhEXR0WvU4/+5xMmYyPP0R/7uyyzg595dX4sQWSwYMhEODWWyIQMWKkMso+Fm5u3o62NjVOz/Sc5LdmDE/X84+FU+EFFk+UsW3/haSmcDZcMIg1a+iy5bA34r57yYv/gDpKh1heL3bsxKiRZkKak5N7rroC4Ktg06AyKWXRnghPj8Gz7utmdxtmz+7i9e1+oRvIjTfim/Wwhrl55eef0zhj0oTxAPDwwvDGiiyVje4dJ+w3JKcC4GRpVGx3rOzU1mas1STpjR6hnMALLJ7owFRWCfS6GpWKjOfI/8nhEC1bTj77jMYZyYMP4Moro5No1dQErRZCoam2lpFIpGJxIBgkPbN++8tdlWkC5ZBEg1ws5DMqeC4cG9D1ZPaSY1i0iG7YSO6Yg82bYYoPV+2Z3w+7HRaLBQgOGyayWsMUJ7oIG8h1Fg5WsA5fYH2Jbf0xW53Le2120vLrR6Zqe1Vbm3DQI5/7PD0d1uGo++ILLLifm+GqqvDWEvr5F8JRo/Dvf3N5zniRxB8t9m3erJx7JxEKkZYmiuq5ZHexYbLRfClXAPFcNCzrXPS687qZSE7uyuV799KXX8WePZg3l/y8FQZDWMv6dV+ulAwZEvoI7GXqyuNnPthWekt6mlIismi61U3hFI/QB0dkXSIeoZzACyyeiEJdrhqVChoNN7neO3fRRa9j925y261Y/7XPGCeXyyN965ccU335pfqRh4lcjpxscbR6n3HExoM13gZmek4yAF5d8VwUNpZF19TVt9/SRW+gshIL7g+vX+gnnxr0etmUyQBnLXpikRrMSk3tZrJ5i8e/trj6q+LqAMte1y/l0dHZ8XySwEXCCyyeyOH+6ONmnY6EqnK6QzCIVavosuVoasY988lrr0KtIgDa2jiY5YVw7Bi++DJx4UNEqURWJp55OkJxw4bd6TOqpbBhSlwi4qI2jSBLD9Q2/1xWe5Mx1RSNnkU8XcHn823Y2HDtVIhEF6euQn6hS5bB7SaPLAyXf8qePaisssycAQA33cj9+DHDhsKaOL/0MotBLhbKxV10yT9DW5tL0iOUE3iBxRMhbABuubm7t2lLC122HCs+gNVKHvtN5GwGATQ34/PPcfPNFrUamb1BVHVwuKq1qKh19sAw5xGfnRaP/+dK+7byhh1V9nilbIRFJxV1r4kKT7hhmGBlZegQ3HnkiLdfzsW9YcEgVq3C629QiZQ88Rj3NzLLkopKxBstQECpFF11JZeDxyY2DJLqzMauHwjWtfnWHajceKJWLRVNz0l+fEw/g4Jf5HQLXmDxhBemurrulVfx5z91t4ny8eNYspSuWUumTMa77yCvG46FFw7DYPceDBxgUSpZkYjOmCGMVk1iGDhQ2Wo1yDUuDBBoBwzURjh6kKX7apq2lDdsK69v9QZGJBvHWOOfLOink0vcbrdIwgusmIO63UxdnSg9HYDtxx8RCIbcT5jRo8WyCz48CrVXX7IUCQnkt8+QSZPC0QNUt2o1VavECjmUSnFODufjxw7H65y7TjbdYrUCMKu7oq46t7WZ0tf8jysH8xUtXMELLJ7wUpeQgL++0K3l6ZYtdOny9tTXn36AycTd7M6C0wm5HCJRQm1twOmQSaUABGp11BwfwkCrO+CuQ5xUgcimVTh9gS3lDdvKG3bbGvVyyVir6Q8TcgeadEI+bTYmYZ1OprJS3L+/DcD27VBrEGo62YUGfA4HXbIU772P/Pyw+IVu2qS11Shvvw0Arr8uGAy2NTVxHCL20DklN6V0ce+5o62NQSG9vl/KHwqyDWqFsJsduHk6wQssnrDgWb2m2aDH2LFdb9Xs89HPPsd778Pnwz3zw5v62pmqKvWXK1V3zSMqFZKShElJkQgaKX4oqov3SweadFqIx6XFU0ojE/dog2Nref3WiobS5rZhFkOB1fTAiKyk7tU38YQJprqaqauTDBliA+ievcRgaP9Bl7sa19fjtUXtfqEfrsCAAVxNFTYb3f5L0qzrAWDiRM6GjW08fmbFttJb0tNUEpFRIb3Yy31B5vuTdetLbCWNjiszLR1tbdxudxgme0nDCyyesNA8fBgSE7t4cVMTffsdsmIFsnMi1M+1ulr5zrvqBxYI9HokJ/cyp8FfsSGFVWSYIrQP52fYnVWNWyvqd1Q2Bhi2IC1+/tCMoRZDl9NvecJH4Ggx9Xok+fk2AEePok+f0Pe7a1NXXY1XXqWrV5MbbyTffA2u3BCammAwWICgzye44lLRVR2QWtyantaFIsHjTc7PD1d8f6Iux6iZ2T+Z9wgNN7zA4uEM1ul0f/iR4757AXRNXdHiEvL663TDRjJjOt5/jwwcyPEUO1NTQ5e/nXj/fYK4OCQl4XfPhjFWVPn+UG2wkV6ZmQggwxB2dVXn8v5YWre1vOFQfUtmnHqs1fTXySlZRjVfiBRr+PcfQDAguewyG4CmRmRltf+gyztVnTl2DK8tohs2khtnk++/A4c7wVu3aoqOqO69B0AoIewSYdXuqhQohloMsossAeloa1Pr8k7LTlo6c4RVx3uERgJeYPFwRm1jI2ZM78qVlOK77+iyt1FURO+8A5t/gime69kBAJwu+tlnZPo0i9GIxMReLKoAsJQKCIENl2tNYkN416kMS/fWNO2satxa3lDf5h2ZbLw6y/KnK/L0cr4KKbbwbtokUKokI4bbAFAWmZntPxg9mrMY+/bRl15pT5rctgVxXNh+FB6ka9cmPftbEIKCAhQUcDBmz8KGcXrTxd5QRxscq45Wfn+iblCCbk5++uVpJnHEyq55eIHF032CZWXU62vIye5KQ+VQSdG770EkJA8+gOnvdLfY8HRYFnv3IjPTotVSAvaaq4VGI8chYo+DlS27DzTOG9IXgDhspwBOf3BLWX0oY10nk1yeZnpsTM4gs54/d4ghKHV/uVKUkWEflAcABgP69Wv/0eDBHMcK+YVWVOCBBWTRq1B1r/Odx4NNm3DllRaRCHm5ESocjjGKqlv3FjbdPigdwIWrq1ZvYM3Rqq9LbJ4gM6t/ygezR/ONRKMCL7B4ukv9LzsQSjK9KGprsfxt+smnyM8nLzyPggKOq7UDAQgEEAoT7I2BxiZpnhwAUamE3XzoxzZ2p08jF0vqBblCXe4QXZiiHG1w7Kpu3FJeX2x35iXoCqzxfMZ6bMEwbR99LB440J4/CIQgf1BHThXy87kPRylZt46+/iZcLvLow5g+vVvLJL8fYjEISbA3sn0zxD2zjydXpPgV/fIu1ELlFI/Qx8bk8B6h0eWS/tvl6Q6BI0caQkvhi+04cfQo3ngzlGhFPv7w1/U0h9TUqN5fobpnvkCvhyleeOUU7kPEHnanb/0W2825VoQhiTzAsDuqGrdW1O+savQH2YK0+Dvy+/AZ67ED9Xpdby2RTZnckJMDgQBTJv9qaNK3L/fxgkEUF+NwEQ4flm37mbjdWHA/uenG7tvdqb74Uv3wQiKXIyX50vzbcnqDb/90Yl52X7VEdIHtqpo9/q+Kq78qrg6ydGa/5N+MyelCdWEMsvpIlVWnMPfYSm5eYPF0heC2nx2EXJw2YhisX0+XLkdFBe6+i/z+OXB7VFdbq35tkeHBByWJZiQm4qknuRw8hjlqc4hFgr5BlRHSOfkc5/zWt3l/ONmesW7VKQtS41+YlM9nrMcIrMPRtnSZYvbsupRkiMWYc7tTrwcAQri3i3M66eEiHD6Mw4dxuAglJUhOxoABGDgg8OQT4gnjhV2WVjU1eHOx+ZGHBQYDMjLw9FOczrvnIbML7snJuJClC8vSnyvt60tsO6vsV2SY/zgxr6d7hLKUfnCgbMTguKxEDYAr4xMlQlJfXx/teXURXmDxnAfq8RC5HIB/x077Dz/g6ad8UimZMF5y4c9Tt5t++BHefgcyGVlwH5cdx+x2umy5ed5cockEs7n+4YWCDs+eSwNKUXXCPS7NxOGuFUvpwbqWreUNW8sb6tq8o/iM9ViCtdtdy5a7br8NSUlQqbDwIWfobhIKEVJX3IRh6bHj5GAhCg/SwoMoKYFAgIEDSVYmRo+i991H+vbpsLhj2trEF+tOSSn27UNamsVgQHw8fv9c1w3zegsrd1daiXJIokEsEIjPl8RY6/R8UVS54ViNTia+vn/qM+MGqLvX2jnyOHwBmUgoEQo8AebTivLx/RKsRqUAZE7Sr6tEmVjIsmwUJ9lNethbwhMB2MbGYFW1ZFAeANumTfTESXLPfAAYMRwjhl/cWDYb3lxMP/scw4eT//ybG+9mjwdrv8K4yy0JCdDr6eOPkUvv0byntKnVE5ioSyDApL5mTsZ0+YOby+q3lTfssTVpZWI+Yz12YCoqXcvfbr53PoxGiUr16x6PQMCZRZzHg4OHaGEhOXiQlpTgZCmJM9DMLOTlkgcXIC8PCQkdr+3+7qW5udnf3CzNywPASysAsOFKY6LifCIpyNKfyupWFVUdaWidlNHD2tp4AsyB2uaBCTqVRNSi8286XDdxQIJEIZFDeKe1z/mv74Hwf9k8AODbvp1tapZPvabdZrCjs9jEiaRr/sh799LFS7B5M5l9A1m/risFhp2hlBaXkESzRaulQYYZnC8KPe6FwkvxpMqGeK90iJabvbrSZtfW8gY+Yz3WCB475l612rXgfqhUSE3B//sD9fm4/Gu327FvHy08iJJjKClGaRnS00heHs3NJbfdhuwsaLUc31xOl+qNN5S33CJMSYbBIOPEbauHs7+8+XBR622D0gCcW11VO9yrjlStL7Gl61VXZ1n+PiX/vGosFqhyuL89XnPboHRJisDnZnRiicIshAA6SK4flhLt2YWdHvAO8YQJ98efCEympokTACA5Bbm5zaEfjBnT9UE7Eq2qq3HfveTFf3Srf18wCAAikbmx0Xv4sNyaCoCoVSJ15nku7I3sKW0qOtIayrJK1XbLJzCUsb65tHa3rcnH0LFp8TflWoclxWkuLKOWJ0wES465v/zS9egjkMmQmYknn+BsaEppyTFysBAlx2hxCQoL4XRi4ECSl4vJV9DHfkP6pIcO7jkWVX4/feVV07VTxTk5UKsunczICyQbmvxB5zrY9QaZb0pqvj5WXdHqnpad9Nq1w9L0se4ReqC2eVtFw4IZWYTAGC+9Md0qkQoA6BQSneLSSjPgBdYlAMNQhiESCYDqZcvJwIHtJ32dq/9SkrsbxeGg768gH3xA44zkvntw5ZXdTbRqbFQtXaYM5VcZjYouOEH0CvxBViwUkBrki/VD87u1a9XQ5t1Wbt9aXr+npsmqU45KMvy/8QMGmuMEfKPl6OHfu9f+zQY88zQEAmRl4pmnuRnX58OBQlpSQkpKaOFBHD0CqYzm5yMvl8yeRZ/9beckKs7fflpeQUAtVitEInb+3QJduBxDeiJOb/CjXyrvGZCjlorPkcl+rNH5RVF7W5ubcq2XW03hM7TrGiylzR5/nEIKYHuFvdjvmHt5HwCDLPpBQ9pVo+zSrjLmBVZvhNLAkSMCo1FoMtlYFkuW0gkTSHYWAHL3XdyHq6rCW0vo519g7Fi89BLpTqJVczN9/Q3z3DuFSUmIi+PriWpbPF/+WDl/aIZEKBB2SQZ1zlivdXlGp8QXWE1PFPQzq+V+v59SyquryOPb/ot9926y8CEAGDIEQ4ZwMGhzMw4dosUl5OBBWlj465FfVhZ5sIDzJKpzYGGYti1b5FOvAQCB4JJVVwxLKxrbrEalgBBbs2ft5uqbc61amVjvld/XL1N5lt3ijrY2zR7/tOyk5deNTNEqIjzzc1DZ6m7y+AaZ9QB+bK1nWTopwwxglMU4Cr3fwPli4QVWL4FtbW1b8YFi2rS61BT4fKitRUoKAAgEuP++cD1Pd+2ir72O3bvJbbdi/dfEmtqVQVwuuvithFnXi9LSoNf37vY1F0hzm59hqdEpNUP+wPCs819wGi5/cEeVfWt5w/ZKu0wouDw94bExOXkJOulFdjHj4Qrf9u32PXvJQw8CwKiRZNTIbg5IyytISTEtPIjCgygsREsLBg0i2VntSVT9ckKn8xGTz/TV1+ILxkgGD4ZQqLz9tkiFjS2O2By7TzbOKUiHDRXNbccandY+Sghggfy+YRmh1wgEhNAzXLuruvHrEtu28oZhSXEPjsgammiIkcXP9ydqiYBMHJMAoCnoM5ikiAOAiZaE81x5ycMLrB5MsLy87b332x5YgLg4KBS45WZnyKRAJkPXMtMvEJYV/PgjfftdcqyE3HEH/v0i4uIu7kkQDGLDBgwcaLFaoVDQhQ8Rzjvk9FgYlq7bXD2jXwou/ldS1ty2pbx+S3n90QbHILO+wBo/f2gGn7EeLbwbNjbV1eGOOQAwahQZNarrYwUCgoOHyPFjKDpCCw+iuBgMQ/v3J3m5mDa185FfeD+TQ42nrGmIN4JlVf98UTZxgjgtTSeRiEMbcpcGHj/j9gfjVFIA3x+qbaz23ZhrBZDiV/S1qmADgHS9Kl1//r4RHW1t/Awzs1/KgyOyYsEj9J29J7OzNaMyjQDyNXq9sv1hNCiVOyuQSwBeYPUMmLo6YUICgMDhw/UrV5HHH4NcDqsVv3+u/RViMcJhAcUwsNWgtBRlZbS0FGVlKC2VlFfQvn3Jvfdg5oyLM26uqIRSgbi4xEAgmJoqTk4GAIGAV1cAKhvddQ7vZVKDECTUeuwCCbDsjsrGrRX1u6oaHb5ggZXPWI8C1OcjUikA25q1cLvbExy700LA7cahw+2+CYWFOFkq0uvZ3FyaPygcvglnwOeDVAoAdXX0vffJHXMsCQnU6/U1Nkn69BEAEAjaD/EbGsIRP9bYeLBGr5QM6xMHG7adaDAqpHGJUgBXGMz476NXdcGVfR1tbXZW2QvSTNFqa9PmDwoIkYuFlOLNI8fH9jMPyzABmGv51TchpCN5ugAvsGIUpq7Of6AQQwYDsO3cRQ8dIvPmghAMGEAGDAhPSIZWVZOyMpSV0dKykKhCeTnEYqSlkfQ0kpZGJ08m6Wl+iwVms0R6YXcdw4BSiESJLpd782b5tVMFAORyce6l2Lr1HFQfd+cnXsTq0O72bS1r6MhYL0iN/8uk/Kw4dYwcK1wUh+pbmtz+y9NMALa32Q+crL0rtSsHoxGmw4PX9tVXNBAk180EgOnTujhafQM5sP/XIz+7HRl9O/sm+GQyQkjXDdPPy4kT2LsXs2cDMB075ln/jeree4hMhoSEjnpGolDIenvjqeY2v0wslEuEAJb+eGKUzjjApAUwVG4wSKWh3akum895AkxFc9vemuavj9e2BYLTspMeHZ0dH8FOzEGW7qtpSterjAqpN5759OfyybmJyQYFAe6QWjSaHuOq1SPgBVYM4du2LXiyVDnndhsAu51NMHkVCj+A4cO6lTl+Om1tOHESFeW0vIKUlNCSEpRXwOEgqSk01UqsqUhNJZcNQaoVaVZ0uuVCH93U5yMXuNJyu1WvLVLcOFuUlgaV6pLNzDgbx+uc+8qaZ6ekAhiZcv4UUUpRWNe8tbxhV3VjZat7ZLKxwGp6vKBforpnHALWOD0iAQl9nHxZVGlKkRVkxwMwyKXpChWkADAKxsxYPYWggQB1OkPdAqo/+BCJiSTkcnLttRetak+3Svf5aG5u6MgPjz+GPulQqdB5d8rn4+afYbfD6UR6OgC6/htdY2PoxmS1Woyf0F6olpmpzrxUzFCc3uDX+6vH5ZjMOrmnnPnmiO3ytITQwfr8rF/bOMZdzMldgGFtTk+N0/Pr/x0em8vT4vHr5eL8BP3CkdmXJUVoy6rR7Vt7tHpaTlJchtTrZRgvVaaKIIEMwnnjwtCnkue/8AIrynjWrm0mBNdeCwBDhmDUqNbQDwYMoAzDwSPV5cLJ0lO1lNNJUpJDWopmZZFrp9KsbGJOgFQaut27ddN7PHj5FdP114uyMqFQ8M4350DrEM9KOr/bXps/+EuVfWt5wy+VdolQMC494cERWbGcsR5kKQGEAhJg2RX7S0enxmfnaQAcPtTaP0kLPQBcb/n1H27Rx65ApG4329oqTEwEYPv4EzJwQOgsntx268UN5PWi8GBnq3RIpXTwYOTlkvl30cyszr4J3LP4LaSlWa6cAsC7f79Ao5WkpwPA1Vd1vETAbW/QmMTu9MWppISgutnz1ebqW/KsGqlYxgomxiXEtUnhhlwsvCUv7cIHdPuDFa3uaqfb5vBUO93VrR6722d3+9oCwUSVzKJWJGnlSWpFTrwmSa0wKqU6mYQNBiil0gs8AegqJ5tcX5fY7r62r1wiVAfF1yelaORiACqZaGRG73+jYwReYEUI6vNRjydUsWz75FPEG9vz0Kd1OlCQd+9jpkNLFZeg5Bgqyk/VUrm55IZZNNVKEs2QSDprqe4uo3w+vP5G/NVXi3OyIZdz5uXTGzlZ71q7pfrBEVkdezlno7ylbXNZ/c6qxkP1LQNNuuHJcXMGpfcxnD9tNvI0tHm/P1F3dZZFKxO36gIrd1delZdo1snFEMxL/nWJPGkgN119wk5TExMMCs1mG4C1X2HgACQmAiBzbr+IQU6xSj9Zij7pyMqmWZnk2qlhSaIKBum335Gc7NDulOrFf0kLCqQjRwDAffd2vEo2aRIn0XoEJ+td+8ubrx+WAhuONToLa5tn9ksRCkhSp7I+sUBw3kM6T4Apb2mrdrrtbT6729cupxwelz9gUctDQsool+bEaZO0cotaYVJJxWfpYuTn+J8Ib5CRiYQASuyOH+318yf0FRDSx6J6aGD7ObtEJJCIYstD69zsqPmlxddyZdpVNtiONZW0NbVdY54a7Ul1BV5ghRHvpk1CS5I4J9sG0M+/wNChJGQJc9ON3R3a6UJpKUqKUXKMlle0aymXiyQn0VQrycqkYwuI9VaaaiWWRIjFXGqpDlgW336H9HRLViYkEvrAAhLmNVmPhmFpkGGlDcI+UD0yKvtsLwuw7P6a5i3lDdvK6x3eQEGaaWb/5OcnDdLKYiJjvdHtq3K4Qy44h+tbf7LX3TcxUygg6oB4cqJZqxID0EIc8hvsuTi3/eybOLH9TrnAu/V0q/SWFuRkk6wsOuwycvddHb4JHMAwqK+HyQShEPX19N33zHfeITSZKKXB9DRRYmL7zJ94nJtwPQGGpS5vUKsQA9hUVNdY5ZvVP1npUcpEkslGcyhxKjNOnRl3nreAYWmty2tzuqtbPb/uSzk8Tl9ALRUnaeRJaoVFIx+WFDdTm2xRK0xKaeT9P1u9gWqnu3+8FsCBYHNpfdvMy5IBZFk0WehJSVTflm9MUafkGPrZYPvh5CatVDskaSgAkykhWZhigw1ARlymMBijW/XnhRdYXEI9Hudri+TXTm3o1w+UQqXucEi/6AOFDpxOlJadWUtlZpHsLERAS3Xg8dD135DcgbBaExkmkJAg6ZMOAITw6up0/EE2lGPhD7JvrDp2U25qvPLMT4pYy1hnKfUF2ZDN9MbjNS5/8PpJKQAaa/2sGLAAwACLdgC0odfLxMLeZNnM3HQjUZzP3fF0q3SGpQMGkLxcEgbfBLr/gPDbb9mHF1qA4MmT/j175TNnEKEQJtOvGehisTgnh4toPYNtJQ0qmWhQqh42fH3UFq+UhhIZJ+oSoAPLsgDOVkvLsrTmNCFlb/O1eP1SkTBFqzhFSBkVkuieyB+obW70+CemJ8ACm80jVQqQAACDoI9x6wSH3/FT5Q+jLGOMcmMpU7q+eN3QpGEp2hQAGUkZUpEsJKQm9PnVWkgq7CWfJrzA6i5sg9355puuO+4g1lTIZFj4kCvUKZkQXGxmutOJI0dpSQmpqKDlFaS8TF5eQX0+ZGchlHveoaWSLBCJONZSDgecTiQlAcC+fXTLVvLAAotIxFRUut5/X33fvQKjEWJxcOjQNoVc6PcTlUqSP6j7YXs6re5ATYsnK1EtIKS6yb1qT9Vto9N0rRKXP7iyqHJinwSzUqrzqh4aeaopH6Uotju2ltdvrWgoa267zGIosJoeG9PPEiXbqnXF1RaNYnCiHhas3FmZqJePtsYDmGJJ7HhNlpmjPZieyClW6SdLiUGPvEE0L5dD3wRaXEIa7Rg9GoDh22+Dx0+oFtwPgPbv50hNEQYCkEpFmZmiSyYDHUAgyIJALBRQimU/Hh9tiA9t3iQHFYlEHtqdmpaTdMZrKYXN6bG1Z0d57R5fdavH5nTXu3wiIbHqlElqRZxSmhOvmdg3IUmtSNLI1THjb7K+xKaSisaOMgFI1SoHynUQAEA/SyxuU51sPXnIXji970wAe517D9TuH99nglQoZUVMRlKWT+azwSYVSmf2/7XpmVQUufLJqMALrAuGYYKlpaK0NIhEwfLyuvfeJyGHz3gjfv9c+/OUEMgu6C+G1jeQ4qO0vCKkpdr3pXw+ZGUi1QprKsYW4Hr/M0YAACAASURBVNabvQlmeUbfU1qGdVdL7d5NxRIyKA8AXfe13ulU3HwTAP/RYra1RRYSWIMHY/Dg0MuFqSnaDnd1kUhkTSUORzen0BM5UNHs9AYLsuIBbC1uqK/0Xt8/BUBLi7/VFSCUgCAJigcHZKEVAFQSUagxM8Mwncdx+4Pb/5uxLhYIxvdJeHBEVm6CThaR9XGQpUX1rak6hU4mCbDs8uITVw9JzUhQAximitMrJRACwKzhXTLl712capXe2TfhhlnIykJCQtdvRq8XgSDUKgD0w4+g0yVdczWAQMBPLJb2G37yZEyeHPqSSCQkfCnwMYbLG9x8tH543zijWuopZz4+WDYlIzFJoyDA/OyMjpdZdf/T9tjpC1Q7ft2Oqmp121rdDR4/S6m5U775sKS4WBNSLKVBlkqEAgBfFlWm9FEM6xMH4GqLpeM1HVafUWd33S4BEQ4xDQHwdc26JnfjxL6TAFAF7ZcyILQdZVabzer2+gmBQKiVaaM44ShyqdyxXYOpqfFt26aYNctGCD12nOzfD6sVAKxW0uHweV7q61FcfKqWCgRoRt8OLUWst4ae1x0XEYBlGOrzXVxhkccDqRQCAVpb8cGHdOpUYk21sKzjny/KJk+SDBkCIKBSCXS69g/zUL8wAICEWyeIngNLaU2L16iSSMVClqWLNx2/PMc0IFkLGz4sLEvVKgus8QCS/QqhkISWywXqePRvv9yqU57yoD8jHRnrB+tasozqsVZTuDPW7W5fnFxKCGqcnrVHq2+ZYlXLxX4f4/YGpclCSEBdwTuNKRpN+6aUSdPLV5MXCG1slD77O1p0BDU1ND0dA/pj+DBy1zwM6A+jEV1e4fj9+PAjOmoUyc6yAG0ffSwZdpl44EAAuPWWjle1f+eSwRtgQofL5fa2r/ZV35GRrpaKRUGSLdLoWyVwQi4WzhvyP1YCbf5g5f8W7tmc7oY2X5DSzoV7lyUa4iSCjARD7AipzpxocqqlYpNSBgs+2V4xNN0Q2h7uXF0bRVjKbqvemqqxWjVWAMtLliZrUwYm5AJQaVVysSIkpPITB3dcIhfHbi1wtCCUnqkrUo9i27ZtCxcu3Lt3b5dHqK2tNZlMAoEAgG/7L8GjR1vnzQUAmw1tbbjg3XhaXkFChgidtVQwiL59Qmd8NDWVZGUhOwva8yt6hmF8Pp/i9FyQujrYbO07TAcP0o3fkkcfsQiFTEWle+1a5e23CbRasCz1+Ug3yxLPgsPhEAgEKlXMlbPV19cbDAbRWSRpvcN7xOYYmx0fOsv7+oDtpjSrRip2+AJbyhtGJRsNiq6vEVlKHb7Ar/952r9o9QVavf7yJleF0zMk0TDGGj86Nd6sCouUOVDbXFjbMic/HRYcq3UerGyZMTT5HC2iXS4Xy7IxaC1ot9s1Go2kq46aBQUFALZu3dq1y30tLbYNG6UZfdGvH86biXU6Lhc9dJgMyoNcTusb1O++q7ztVqHFAkpZe6MgvusV8jF73zU0NOh0OrH4gnRMdbPncFXLlNxEACUHndsrGm4flH7Gv9KOwj2bw9Pg9jW2+c5YuGdUyM5YuMeyrMfjUSrPv/jhFrc/2OoLhKzpapyeHZWNUzLMComoye3/6GDZzHHJWgnrDzD7qj3D+8ap5VEWfy2+lr11e4YnjlCJVWU1ZWsb11yePi5eGU9B7W12jUwT9XQoSqmwTmg2d70AeciQIa+++uqYMWM4nNUFwgssAKj5/HOWYcmFF/dRSisqT9VSZeVgWfRJR6oVWZkkO6t9g+oCtNQZYVev9usNssvHAsDHn+jVKvnUqQAChQepzysZFrUNpxh80LMsDTBsa3OjwWD48ahdJCTj+yUA+Onn+hqH5+Y8K4A6l7fJ4+8XfxF6gmVpSCS1yyZvoLOKavW2f6fVF3D6AgIB0UjFWqlYLRFrpGKNXKyRijVSsVosjJMJx/axcJUke6TBEWTZ3AQdgG8baxyeQOhEzxdgRELBORTVKfAC64z4/f6KYPAMC5vTcblCXqDYswfffmd58gkIhUxNTaCoSDp2LOcNoGLwvgtxNoHVsTv1/eHaJpc/ZKhb3+ZlWNrZGvcchXtGhdSolIbyzZPUinYhdWGFe+EQWPtqmk1KWciD9MuiSp1cMjE9AcCmlroml++G4akAjtgcJ+ucUwcnAQgy1BNg1LL/WfJF5b4rbS2tclWOTbocwImWE9/XfndN9lQBEXgDnmZvi1llJoS43W6pVCoURi6Xn6WsJ+DxBNxtAbcn4Hb73W2BNk/A4wl43IE2d8Ad+kJNNX8e95cuR4miwOKPCAGAFBR0Pp77H07XUiXFKK+AREzT00lWFs3KItOmXpyW8vtpTW0oUR12O138FrntVqSlWRjGueh1acGY0Fmed9AgJ6XxoUtCrc0AAOK8S7TJTIBhj1Q70uOVark4yNClPx6/PMfUn2gBrCqqsuqUOVqlwC8Yo46Xi4Whs7xxaaaOyxNUsgSVjKW0yeN3eANOf8DpCzp8Aacv4PQFHP6g0xdwegMOf8DpC9rdvpBmMsgkaqlYLRVpJGK1TKyWijUSUbJGoQ6JJ6nIqJCdu8KIYRiv19sFddXi8YuFAqVEBOCdfSdzsjUhh0BKabxKFirgm9wpA13ai+r4YpRdu2hVNblupgXw/vAjU1amDG11Dx2KoUNDLxEmJoZcSS9B9pU1iYSC3BQdgJXfVWr/qz+u0JuhP3PhXkhIKSWi0wv34pVSSTgdEAIM62fY0P11sslVWNsyLSdJKCBVDvfqI1W3DUrT9ZG4fcF3tpy8ZlBSWrwSAOOjQgMJ3Xqdz/ImWn79+Ohn0XQkoYuERC2M6Ifs0aajQiLI1GcB+LLyiyAbLLCOBeCWtOkNhtC5nlwnv1bX7r8oE8sTOT3a8wQ9noDH7Xe7/1cquQOe0Hfcfrc74PYE3J6Ax8t4FWJF6D/5r1/IFWKlVqZVSBQKsUIukhtcYWizGxF4gdWJs2kpqZRmZ5PsLJqaSqZNReoDnbXUubYLTpygFZVkwngA2LGTbtmS9PhjICRYU+vfvVtuupqIRDAa0ZFCLhSqH17YcbXAYrk008nL7W0HK1um5icRgpP1rh931t080KqQiLw+prXWT1gVJBCB3N/v16Pbmf2Smzz+smaH3+Ft87Onyya7x2dv8zl8AT/DigREdybZ1EenMiqlaqlILRFrZGK1RBThwmyHL/DpoYqrMhOTcxQBhl2/wzY6K15pFOF/e6/2T+qpGaMUtLT1pFlhVoiVAH6s/MGiSsrSZwHYUPaNVCgdnzIBwB7v7gmaiecZK5wIqqqhUcNsBkDfXxFnTpBNngyATUsn/fuHbnlZ6L7uXTg9gQBDDSoJgNpWb1WT+7J0A4DqJvcPR+quuyxFKRW1uP0f/lx27eCk1DglS+nSH07ky5RDUwQQQtIiTNUqaDVsTk+yVlHd6lm6+/gZC/csGnmeWRemwj2W0uONTqNCEjrcen9/aYZBPSrVCGBNTZVIKLgm3wJg34nmFrc/dFiZECcbmRwn1BEAyRbFgzntFp0KqeiBSb+2xQz9NqJOkA3ub9hn1aTFy+Mp6OIjb/Qz9c+MywLQJnZpZbqQkBqZMqrjEr28KzNnWcbpd7UFXCFV5A643f62/37hbgspJ787yAZ8jN8TcFNKFRKlUqwMaaOOLxRihVEZ366lJAqlWKUQK8TCC3rTKaXCQE9dOvICCwDYf/8HR4tpWRncbpqWRtLTqNWKsQXkjtuRlgaLBYTgFC3ldEIqRegU4N33aFYWGTUSgO6jjyEWK26YBYCRSGlKcvuveMRwjBge+lJkTRVZL9EqrXqHVyYWhpo2rNxdqZSKpuQmwoZfKu2Vre7ZA1MBGPzSy5RxpAYsSzVe8fi0hGNNzo7dpuKGspBsClkqO32BkGwSCwQaqUgjlahloniFLE4p1UhESWq52qgJbTVFSzadjt3tO1zfOiY1XiQglVL3hkLbjSOtGrlYRUW3J6eFTlXEQsEto9OiO88z0uRtkgglKrEKQFHjYZayA425APbU7S5zlM3KvAHAiZYT22xbx+dMEAlEzZ6mH0/+MLHvJK1MG2ACRa4it8RjEBsAxMUZhRJh6MMgNy0PQOjrvoaMc0wgAih/+SVu3Lj2O7eTe3t3MqjCh8MTCDBsnEoKoK7VW9HYdll6HCGobnJvKqqbeVmKWiZyeAIrtpVOzU+yGpWUYskPx0fo4kKGsZ8dqjAoJFf0MQM4Wu1o8wfHpycAYBxU6EKoQWQCK59hSVY2ipy+AKFkRnIKW0+PVjmClB2s1jva3F8WVda1+W0Od43LY3N6Wr0Bo0KaqJZbNPJEtby/UZuokVvU8gSVXHTx1m5+hg0yrOK/W02VDndoZ7q02fX9ido5+enSVGGDw/vpjopZw1PNWhnLoKrVo9QLgoxbaVLOsaR3DDXdktzx9fC+cR1fK6UipTTmPg1bfC1Hm44MTbhMLBA3ehtXV6waYx2jlmoCNNAmanOIHQEEAEzvN7PjkkS15ezjgVLq8Dk6C6YAEwgw/tDXDrfDy3o9Qc9/j+rcLMsqparTBZNRYVTolAqxQiKUiASii9VMlw58DhYA1KxazZpMpE86Tsmkc7ro4cMkfxBkMjQ24t33cMMNltQU6ve7liyVXTExZOtH29pIGFIp/X6/w+Ewxl6DsPPmgnj8zJ7SpgHJWr1SEgiyy346Md6YkBOvAfBNia1vnFovl5zxkK6xzdfg9jp9wQ7ZpJaIjErZKVtNaqm444Sus2xqa2uTy+WCs3SoCB+1To9GKg59ABQ1tCrFolBd4a7qRm+QGZ0c5/V6Sxz+Q56WOQXpAOxOX6sn0NcUnWQaP+NnKSMTyV0uV527zi1w5xpzAVQ6K3bW7pzWZ7pEKGn2Nq05sfravtN9Ml+QDX51dO1gyxCrzgpgR+UvJqUp3dAHQL2rXiAQGBWc/Yn6GB/DMl6PJ0uWHcUcrAjcd05PwBdkjWopgAaHt8zeNjTdICCkpsXz3aHaGUOTNXJx6HzqqjxLH5MKwKJvDg/TGYenJgBYWVSpkogmZyQC2G1rcnoDE/okAKh1emwuz5BEgyfAeINMk8cvFQnd/gBL4fQH6H//7/IFGcq6A0yQZd0BJsCy3iDjD7K+IOsNMn6G9QaZAMu6/QxD2TY/w1Dq8gdCnxUCAVGKRUIBUYqFIoFALhYKKBJUsiStMlEts6gVIV11Iad7LEuPNTlTNAqFRMRS+vHB8kFm/QCTFsBnhypS+ihCZ+I/FNX5g+yVeYmh35XLF0yPP/+9EwwGm5qaTCbTeV8ZYU7PwWrwNDR7m7L02QAONOzf2bhzas61AFq8LS2eZqsujZy9J3SACbgD7vNuMoUEU5AJqmWakE4SC8RiobjzJpMQIq1cq5KqYkow8UnuHLB///41a9aIRKIdO3a8/PLLaWlpF34tBwJr3dcsy5BQW8Dt21U/b9c8/hgApqYmcOSIdOxYcmEFMtwSOwLLG2CEhIhFAgAOT6CxuTVeI1OpVAcrW4qqW28aaQVQctCx9mj1NZlJ/v/f3p1HyVXWeQP/Pne/ta+9p9OkQxIlIYRVgiSCCeTAIEaUGXB5UdTRM8cjDhPPC4gDDJlxRM/gjDPqCIyjAy5DZAmvARKCRkJAYmISspI9vXd111511+d5/6ikiUnTYihSrfw+h8Opfm7dp3711L23vrn31r3cHyk7B7IlQ5Wqrp+p2pmSXTuxqRabXM6Tpn7yEbo3ik1vvs6TAxYXoux4tQMQHhf7jtuarzs4NC0R6owGATy1uzdp6rWDCM/u7a84/gff3QFgY9/o7/qzn76mG8C+odIzW/s+8d5pIUPJlp1HXjx47XkdHYkA5+LJTb1nd8Zq34JbD+diQbUzGQQwWnIAhHWWy+XS6XTdPo/jVLxKX6mvK9KlSErRKT576JkFHQvTZpoL/vDO/7mo9aIZ8Zl96Fuzd3U6mJ7beg6ATX2/5Zyf33GB4ziZ8nCVV7uTf2CPUcWtALA92+MeF77l2QCqbgWA4zue7/nCtzwLQNWtCgjXd1zf5YIfbfSqXHDP9xzfERCWWwVgeRYX3OOe7dljL1EjS/K3F36nPTr+pSP/oLcvYBUtz3b9WirKFO0Dw6XzuhKSxAby1upt/dec2x4LaFXH/8G6/YvntNSuLvbgL/fNC8fPbU0AeGJnj6HIV57ZCmBT/2i26lzYnrR93luoHsmXu+Nhh/uW6xdsT5Jge9zxuO37js9tz7d9XnHcku15ArU/j03iju/bHrd9bnu+43Mcy0C6LOmKpMmyrkiaLOmyrMuSrsiacqxdlo62yJIuH23Xj3u+JksRQ9VlSZOlCdbEcrlsGMYJJ0cfypWHytYF7UkAv+vPvtwz8tnzpzOGw3r5qc29H3/vtLChlG3vpb2ZeVMTtYOSxapraooi1+vGjPUPWLZvMzBN1gCU3JLrO3EjAaDoFAcrg92xbgaWt/Ovjmw7t+k8UzEt31rX86u56XOaA80AVu57clps2lS9i3P+68w6X/PP77gAQF+hV5bk5lAL6npULqAF/6ijcqf/JPc3gwLWW1WtVt/3vvetX79eUZSHHnroxz/+8erVq9/87HW4TMPOnen2dnkS/JzKcn127GzlTL48ks3P7GoDMJi3+rKVeV0JACMle8vh3MXTU6YmV2xv9asDF3YnW2OmEPjJS4dmd0RrJ5k+sv5gJKAunNUE4LlXB4ZLTu3Mg+09uc0Hsx84t4MxDByoPn9g4PLu1oAiVzz/2df65zTH0kFdCDy3b6A9EuiIBABsHchpCmuPBAD0FCpVx0uaWtnj2apdtL2i4+Ytt2C7AojqasQ4+uu51/871hI99qB2YunxKo6Xs9zaRcwLtrs7U5jdFDNVuex4a/YNXNCebIuYQuCB3+69oD15TmscwKPbDycCeu0s2ueyA7myc2mXkUgktvUUNh4Y/cxl0wEcHin/aufQhy6YEtSViu1tOG5rvqe/0BQ1YgENQNn2NFlS3577obquO0HA8rl3sHCoPdRmKKaAeO7Q6u7YmWdEzwCwct+TSTM5v+0SAE/2PFF2ywvPeB+AXUO7dmZ2XD7t/Y7vZKuj/cX+KdFOLnzHd8puWYLEwBzu1Hb+u9yrxR0ALndd33V9tzbVdm0APnzPdx3frW2yveOeOVakKquqpCqyqsuaIqmarAJQZLX2j2BVVjVJq2271dcbNVVSVFmrNWqSpshK7YDCsUZFlTRNPjajpI5t/SuVSqfS2cA9WA+s3XNBsrUWDlbu6lUk9v7uloLtbu7PDpesc9sStu8Pla3eQrUjEnB8brl+yXEZY8eiz9HQ43h8LAwVbe/kJKRIzHzTSciUma7IAV07OQbpiqwr0glJyONisGS1hgxJYpyLvaPF9kigtuptGcimAkd/Dbe5b1SSWO1w4cs9I4PF6gfe1QFg22DuxcOZz5zXLUmsv1j9+Y4jHz27K2ZqVddfsePw/Cnp2lXcHtq0r7OdLZw9RVXVn79yJKgrtV1N/bmq4/GpqTrs2ne56wvfkA0Alm8V7EJToAmA7dtHikemhKfosu74zsbBV2bEZ6bMFIDnj6xtNVsTPNnU1PTsoWc0Saud3vdS/4ahymDtauN7srtfGfjNDbM+KjFpqDK46sAvLpp+cUSPWJ719J5VF065sC3cDmDV7l+ckThjVvpdQoh1h9bpsnZ2y1wAr2V2Z6u5s5pnA8hVc8PlwbZIB2PM9u3RymjMiALgghftYlALutwTnB/9XDyv7JZd4VR+77dyR39GV3ErjLHjT/c2VTOgBmoPTNWsRShTDQTVgKkGTNWUWH02XBMELF/4ju+YigmAc3+kOpoIJGQmc8Ffy+xpi7SH9TCArQNb0sF07TDl1oEtmqzNSr8LwM6hHZlK5tKuBQAOZg9s6d/yF++6RmZypjz864PrFk2/IqyHq171mT1P14a9DW0rd608I9E1u2kO53xoaOhPNGBNiqPOjz322FlnnVW7fNGSJUtuvvnmYrEYrteNUd+EES1k2awLADBUsPb0F2p3d8qWnd8eHJ0zJW5qctXxf717sLspXLse42Mbj5yRDnU3hwCs2zVkavLM1giAV3vyZdt7d1sUQH+uenikfPaUuJfjecvdMZw/uznmC2H7fMdQblo8rMqSL/iu4UI6qEd0zXL9/lJVlaRUQC86btFyXZ/HA32275cdr/aDFy5QtB2fi29LEmOouL7jH73hncd51X39ouEhTWGMfWvVbgC1Le/Tm3oBACyoyTsP5QEIAYWx/912mAEC8Dnf0p+t9VZx/UzZLrkuAEf4klAKtgsAAoyJqKGeETAczvO2u2BqU9RQS7a3/vDwB2Z1RA215Hg//N3+q85s74oHhcCDm/adEQvOOz8BYMVvDscC2vtntwB4fsdgpmh/5KJOAD0D1T3ZQuvMdsbAKwICSjuDApPL50eT6bAOBQz4WHO7Jqm1+0UsTkYkJkMDgAtTQY/rbsEF0N2mxOJHtxFNUeni2X7tDFpVFammAVULWp7vCb/f38ScNkVtA7B99FVDMbpj0wHsHNlRcksXtFxYckoH8gf25l5bNHUxA8tUMxsHX1nQsTCgBCpe5ZmDq97TOj9tpi3feubg092x6dNj0wG82Lc+pIbOTs8FsGX4dwWncHHz/Ex++JXSy9ty297ddBYD6y/17x/df2ZyOmOS7dl9+Z6YGefgQoiiXVw3uI6BVY/u5qn+eM/Dru+53OFCPLHjMQC2Z/vCf2bPqtp7DKgBALqiK5IiMdlQdACmGgCgyZoiKzKTDcUAYKqmKqmqoaqyxsA0pgmIkBGSmVxLP2MzGoouMVmRFF3Rx17iZB73uOC1GX3hu55jqCYAn/tZK5s0k4wxIcRIdSSqR2v5qa/QG9Yjtc3xUGnI417tKs8DxQHLq3bFzxj3hU6noYL9mz2F30jFsuNxIUqOxwXufn4bjq1Tj+44zICwrjIgpKkSQ1BTHd9PBnSZsYCqWK7XHDIDqmwqykCpmgxoLWHTUORDubImSbObY7oi7xzOj5TtD501RZWlV4dyLxwc/sz502WJDRSrK3YcufHsrvixKHPxlHR3IgTg+7/Z3TFVXzi7DcDPNx4wVPmquZ0AfrWr/8ho8WPzZwDY1Zd9cV///7nkXbLEhrLltT17r+6YlQgZtutvzxw2o53BeATAQLHHiKfRZAIwlKIsyUjFAbQELcMq1m5y15Hg86dUWBJgiHrivYmKkeCQoXA+Te2LxEMwQwDmSCOaczQKd04ZkCTZ8ZMOd/aWN/WVepPRayyv+lr2tS3DW67p/oDM5J7SkRd6f72g430RLeL41i8O/GJKqjMdTAN46chLKTPZFmkHsG9kLwevPe4v9JXccldsqsu9gp3PVrKdsamOb1uuVbALUSOqSErVrRSc4q8GfqlIigDyVlZiMjjkQ7LgvOpZvzj8/2pF+txbfeTZsY97Xd+vPO6NPbY8y+c+gHUHfolje2SPXzwCauBnW39Se6zK6nP7Xt8XoCu6zI5ueRhjhvL6r/Nqa2LtMefcVAJhI2SqZtyMnxCkdEUXEH8wymw5tEWJyKlgGsDWI1sVJr+74ywAOw5tH86NLJy7AMC+nv3bd2//i/ddJcny4MjQSy9sWPC+BfFovFqtPLNy7TkXzunqmtqGtod/+pOuMzovuXB+ppJZ99x6XdWvXrIEwHPPrx3qydzw8esBbNq0efuGPTd87sOKIvf09O5deXjB9e3pdKpcqZR/7moL9bZZbQC2r3pNnxZMnpcCEN/QrGpqcmEKpYHunemm4XDS8ACIgzFp6+xUlLuWw0bVOS/OjnvCCFUNh89Zc1bTOUaovVrAvpYNcb3NL0zfJwQsT8Gp56tGmhR7sP7+7/++Wq1+/etfByCEUBRl165dZ550eU/P8+69917Lsk5o7+npefnll9/KHqyvfeUhw2LZkA8g4LCAJWejvmDQXIRLSiHq+jKTOKI5pRzxfJUBCGclx/DdgATAzIPLwgtLAJSiL3uSm5QASGVfrUhumjHGhO1rOclNCkmVhMfVDHNivhxUGBjr970AV2IqY+ADHleEklIlxtyMw1ywFsYYvByXS5LUwcDgV3wpI6OVS5okPCF6mUhxLSQDcA9xHuZmUgVg9XhChdmsAKgOesyBMUUBYGVdlpe1qYwx5pQ8DEtSu1A02Xe53wOkuRZSADiHuAhzPaEAsHt9oQqjSQFgDXmSA7RyMObnhVyQMYUDEBXBMopo8ZjG4AnWp/hJxzd9zrjWY3ohl8c8AMqALhTup1wA8ogqO1K1uSKEUAqqXjDLHQUAUlU2M6FKa0EognkI9EerybJjVAFE+hJ2yLIjFQChoaiv8GqiCMAcDSmukm8a9QUPlIJmMTjSMgQGzdIjo7FsU8ZXfNmT4kPpQjznmDaARH/aClUq4TKAaCbBZb8YzwMIZ6Oyp+TSI6qkGEVTLwbybaOAUCwtmIkUm7Nc9SVPjvYnSsmCF3BlSQ4fidlhy4lZAIL9Ea7waroEwBwOSq5cbsurnqblDbWgu1NsMKFUVWlYRbsv6QwucFhhzVyPamBwXvOluGQ0aQqTi/uqksaiXSEGqdhT8m3RNCMJoDhQsobttrktsiQXR0u5A4WmdyX1gF7NVjP7suHWYDAW1Ll+eFdvIG6mmhMAevf1S6rU2tkMYODIkGd7HdPbOOejw9lK1poys40xVswXs335pjPShqE7jjuwbzDWGo3EwgAO7+oNxI1UcxJC9O4ZlBQp2RJn3MkNV7jrJ9rCAMp5yyq6yfYwGOyKW8xYsZaAosmey3P95VBCN0IagJGekh5SQjEDQK6/LClSJG0CKAxXfY/HW2s7PMQFn70gdKo7P6644orOzs4HHnjg1GYfHBn+3689JUyupmQAXj8HE0abwsCsIReWZHTKAOysx7Ky0gVJYk7Fk/oV3uFKBuOuYIcVL+mwiAAgHdJ4wEOaA5D6fQmvlwAAFltJREFUFMGEaPUBsGGZWRKf4gJAnsmjmj/VFkz4FW4MBqzWstAFPGb0BpyExcM+AP1IwA+4XtIFoA0Yggm32QagZDTZUuyOiud7SlHV82a5vQAGyZIDw6FKS5GrnHEWOhKrJkteyAUQ6om6AdtOWAACAyHBRKmpIAQPjIZUS8+3jQDQi2YgF8p2DINBttTIcLzQPOprHvOlWF+qnCg4QQtAtDfp6k4lWAYQGY0JJmrrUbAQVhwtnxpRJEUvGWY+mGsbkSRJtdVAJlxuKnCNK1wx+8JOouqFXAmS0RP0g55fe4P9hpAgWr3aWEmWwqb6AHgO0ogidwsmMV4RopcpnUw2Ze4Jdz+Xm2AkdACVPY4UhpnQGZcrvRYkBNoMmcmVwapf5eGuIGPMzjrOiBvpDjGJeRW/fKQSnhpUTVV4IruvEGg2QokggMyeUS2ixttiAIb3jTAJqTOSAEZ7sm7Za56ZBlAeqpSGyx0zWiVZLpcqI4dH011JM2B6ntf32kCkORxLRAEc2d2rR/RUc8KtuJn+LGNItSYZd/KZimf7yfaj61E17yQ7IkyCXXULQ9VQVFdUiXNRzFhGWNVNBUBxxFJ02QypACp5B4wFIqpd8V3L5z7XgyoA3/U95+hj7gvP9lRDYRITQtglDwy1e8n7HmeMSTITQggOAJLMAHAuIMAk5lS8U1iPFF1m7FhXvhBCyIpU61ZwIckSYwBjjAlFlxljgHAtLqtSbRbP9pnMarOYzcFF//e9p1BDzfnnn3/JJZecfLDYNM077rjjjS5MXReTYg/W8PBwPH70fuCMsVAo5LruyU+bIAtOcA7gm9HVEnWK3pQOA4Cddb283zbVAINX9p1hv7lNkTSJO8KS3HRKVkIygApsJSxpCRVAtddhCjOaVQD2sMsdYbZrAJyc5+V4oE0Dg1fmDvOMFlXSGHeEzT01KdW6qlqOEpbVuAzAtl2mMC2lAHB8Vzgs3BQAYCuOp/JgygCDV/Et3w0kNEmXuMMrFcdIqLWuyoWqEpX1uAagUrWYzMy4DsByHe7wQNwAYMPxJB6MG2DwdN/y3EDsWFdlx4gf6yr/hl15th9LhSVJshTbkb1IKggGt+JVuBVOByWNcY+XLTvQpJshA0DBK2lhzYhqAEqiwlQWTJkAKqrlO368PcqYZOUtK+fEOiMA3Kpb0quR9hmyKnOX56VSMG2EwiEAI3LWjBqBmAkgZ+QlRY40hQCUQmXP88JNIUMzrLxt5az41IvA4JSd0lAl1nG+pErc5blAIZQ2A+GgxKRMYNSMGsFYAECuLy8pUqQpDKA0WvYcP9YSAWCVbLtsR5sjAFzLKTdXw6mQrMjc54VkMRALaIYKIB8pGEFdD+kAKsmqJEtGVAdgN9u+6xtxw/d94cCtuMF0AIDv+NWcHUgYkiJxn1stjh5UZU0GUI1aiqGopgLAitqSJGkhFYATdbnPjYgOwI16Xqdnxg0A8UisOeUYEU2SJaVNbuloNsJaratwS1ALKKqpAoh2hCRJ0sMagMTUiO9xM2b4vh+vRIQjAkkTQNpNWAXbjOmSLHGfJztj43TFWGpGQpIlI6IBsIuO7/JAwgDgVFy3PPYGeTVvBeJH32Bl1DIiuqLLAJqHK1pQ1QIqgErWGrcrl3t6pGF3XgsoRjIdVQKyUVv4PZsxHF34hcPto+uRo7iO4oXiJiT4pl/1HTOuy7rEOKvYtpHQ9ZAKoGCV1aBSm73sVwHUFv6qZHtVP5wKALA1x1LdaCrIJAaHlaRyuLVT0RTBRc4vmCnTCGoAcm5RCyqBhAmgLFXBEEybAKqG7TteqCmoyqpdcqs5O9YeBoNne6VAJdwUlDVZcJFXioG4oQU1AAW1pAYUM2oAKJllMBZLRyQmleJlz/JirecAsEpWJWud0zGHMebZXiFcjDS/q1ZV1sgFEwE9qAPImnlVV+LJGJNYcbjEGIuloxKTKoWqZ3uRdBiAXbEreSveEgWD7/iF0WIkFZYVWXBRai4bUUM1FADVNkvRZDWgArDbHQC1JdZpd7nHa+uUZ3tOxQvEDDD4LrfbHSOsSYokuKgmbS2g1hazasSSNVkOSmbAsKbbAKstZk7Z9R2/tu64lueU3WDSBMBdXj3z6MIvuKh0WnpIq3XV0ppWdEULqgCa21NjXbV2Nr3e1Rm/11XL9PRYV/GO6FhXkdagoiuyISmmMqXcAsZqb8opOZ7t11ZDt+rZJSeUDkiyJMmsPFoNJs3aGywNV4yoXhur0lBZNVU9rCm6Us3bYKz26lbOci0v3BICYJccq+BEWoOMMUlGadgKNwdkVRZc5PtKwYRRG+pCf0kLqkZEt12bW0KRldpyZZcc3/Fry5tb9ZySG0yZYAATTskz43qtq3KmakSPrt3lTFU1j45VNWcBMGMGALvoeI4fHHuDRSeUDtQWhmrOnrgrIUS5XH471nRVVd/uHUyTImBFo9FSqTT2p23bzeNd9lNV1bvuuuvk9vXr1+/YseOtHFK85pNLxm6VM3lMnpPcTzBpryg98a1yGmXic7AaaDJfyT0UDp3yOViyLPf29p7yBkHX9Q998Wpa7968P+pWOafNn9CvCE+/tuOOD7V2H/22/SPuoHDc93Mk+vobOX6l+/3Hx80bBo77TGKvXytj/K4455VK5a18vweDwZtvvrkh52BNikjR2dl5+PDh2uNisRiPx8d2aBFCCCGE/MmZFAFr6dKlGzZsKBaLANasWXPTTTdNtp1JhBBCCCFv3qQ4mNLS0vLv//7vX/jCF+bNmzc6Onr33Xc3uiJCCCGEkFM3KQIWgOuuu+66665rdBWEEEIIIXVAR+IIIYQQQuqMAhYhhBBCSJ1RwCKEEEIIqTMKWIQQQgghdUYBixBCCCGkzihgEUIIIYTUGQUsQgghhJA6o4BFCCGEEFJnFLAIIYQQQuqMAhYhhBBCSJ1RwCKEEEIIqTMKWIQQQgghdUYBixBCCCGkzihgEUIIIYTUGQUsQgghhJA6o4BFCCGEEFJnFLAIIYQQQupMaXQB9VGpVH7729+e8uyZTCaRSEjS5IqbrusWi8VEItHoQk5UKBQkSQqFQo0u5EQjIyOxWEyW5UYX8ns8zysUCpPwcyyVSpzzSCTS6EJONDo6Gg6HVVU9tdlLpRKAU94g0Hr3xxodHY1EIooyub5NfN/P5XLJZLLRhZzoz3W9e5twzkdHR3t7e0+5h0qlUsd6/iiTa5U4NalUyvO866+//pR7qFQquq5Pti9m27Zd152E29NSqcQYCwaDjS7kROVyWdO0ybaBcF3XcZzJOVwAJmdhqqpqmnZqsxcKBQCnvEFwHMd13ck5LJisnxetd29euVwWQkzODbuqqrquN7qQ3+P7vm3bgUDglHtgjKVSqTqW9EcQRIhoNNrX19foKk60du3aiy66qNFVjOOWW25Zvnx5o6sYR1dX1/bt2xtdxYk2b948Y8aMRlcxjrvuumvZsmWNrmIc8+bNe+GFFxr16i+88MK8efMa9eoTWLZs2V133dXoKsYxY8aMzZs3N7qKE23fvr2rq6vRVYxj+fLlt9xyS6OrGMdFF120du3aRldxor6+vmg02ugqTtHkOihGCCGEEPJngAIWIYQQQkidUcAihBBCCKkzCliEEEIIIXVGAYsQQgghpM4oYBFCCCGE1Nmfw3Ww3rqlS5dGo9FGV3Gizs7Oyy+/vNFVjOPcc8+Nx+ONrmIcV111VVNTU6OrOFFLS8uSJUsaXcU45s6dW61WG13FOBYtWtTR0dGoV+/o6Fi0aFGjXn0C8+bNM02z0VWMY8mSJS0tLY2u4kRNTU1XXXVVo6sYx9lnn53L5RpdxTguv/zyzs7ORldxomg0unTp0kZXcYqYEKLRNRBCCCGE/FmhQ4SEEEIIIXVGAYsQQgghpM4oYBFCCCGE1BkFLEIIIYSQOqOARQghhBBSZ+/QgDVpfzv5RoU5juP7vhDC933HcU5zVX9yaLj+WDRihBBSX++4gDU6OvqNb3yju7vb87yTp/7ud7+75557/vEf//Haa689ePDg5CkslUopiiJJkqIoF1544ekpqVQq/fVf/3VTU1MymfzEJz5RLBZPeEKjhusPFtaQ4QLAOb/nnntmzpzZ3Nx8ww03lMvlE57QqBH7g4U1asRqent777rrrpPbG7g+EkLIWyXeSQ4cOHDNNdc8/vjjAFzXPWFqpVK58MILa+0PPvjgokWLJklhQoibbrpp+JjR0dHTU9XPfvazr371q4VCYePGjW1tbV/+8pePn9rA4Zq4MNGg4RJCbN68+bbbbrNtO5PJzJo162tf+9rxUxs4YhMXJho3YkIIzvlHPvKRpqamE9obOFyEEPLWvbP2YHV1dT355JPnnXfeuFMfe+yxs846S1EUAEuWLFmzZs3Ju0YaUhiAcDicOua0XUU9Eol85StfCYfD55133k033bR79+7jpzZwuCYuDA0aLgCc8zvvvFPTtGQyuXjx4lAodPzUBo7YxIWhcSMG4NFHH50/f76maSe0N3C4CCHkrXtnBayJ7d69O5VK1R63trZKkjQwMNDYksZs2bJl8eLFiUTiPe95z6ZNm07Pi1555ZWqqtYe79mzZ8GCBcdPbeBwTVwYGjRcAM4999zazUwKhUI+n//4xz9+/NQGjtjEhaFxIzYyMjI4ODh79uyTA9ZkXh8JIeQPooD1uuHh4bGvbcZYKBRyXbexJY35wAc+8PTTT/f29k6bNu26664Tp/ck/QMHDuTz+b/5m785vnEyDNe4haGhw8U5v+WWW26++eZ8Pr9169bjJzV2xCYoDI0bsQceeOAzn/kMgNqequNNhgWMEEJOGd3s+XXRaLRUKo39adt2c3NzA+s53q233grANM3ly5dPmzYtm80mEonT89KlUulv//Zvf/jDH+q6fnx7w4frjQpDQ4dLkqT7778fwI9+9KPFixcPDw+PHY9r7IhNUBgaNGLPP//8JZdcUvv4GGMnTG34AkYIIW8F7cF6XWdn5+HDh2uPi8ViPB4/zSejvJHjTz0JhUKdnZ2nLS64rnv77bfff//9LS0tJ0xq7HBNUFgDhyuTyYw9vvTSSy3LOv6SBw0csYkLa9SI/cM//MOnP/3pWbNmffKTn9y/f/+0adNWr149NnXSro+EEPJmvBMDFud87P81Dz/88MjIyNKlSzds2FD7slmzZs1NN90kSad1fN6osG984xtjv6t/5JFH/uM//uP01OP7/pe+9KUbb7wxGAxmMplMJlM7RtPw4Zq4sEYNF4B77rlncHCw9njNmjXLli2rJZWGj9jEhTVqxNauXbtr165du3Y9+OCDXV1d+/fvX7x4MSbBcBFCyFvHTvPZPA335JNPPvHEEw899NCXvvSla6+9duHChbZtz5w58z//8z+vuOKKFStWrFy5ct68eaOjo3fcccfJJ942pLBIJPJP//RP3d3d6XT6kksuOfmc7rfJF7/4xX/91389vmXDhg3z5s1r+HBNXFijhgvAypUrv/3tb5933nkdHR1NTU0f/vCHAUyGBWziwho4YgD+67/+6+c///nTTz99991333DDDW1tbQ0fLkIIeevecQGLEEIIIeTtRrvcCSGEEELqjAIWIYQQQkidUcAihBBCCKkzCliEEEIIIXVGAYsQQgghpM4oYBFCCCGE1BkFLEIIIYSQOqOARQghhBBSZxSwCCGEEELqjAIWIYQQQkidUcAihBBCCKkzCliEEEIIIXVGAYsQQgghpM4oYBFCCCGE1BkFLEIIIYSQOqOARQghhBBSZxSwCCGEEELqjAIWIYQQQkidUcAihBBCCKkzpdEFEELeWR566KGnnnrq4MGDjz/++A033LBp06YZM2b8y7/8y+WXXw7gpz/96WOPPbZly5aXX375U5/61KpVq1pbWz/2sY/ddtttuq4DcF33W9/61r59+zjne/bsWb58+fz582szPvXUU8Fg8ODBg1OnTv3e9773Ro1CiAcffHDbtm2u627fvv3iiy/+6le/GggEABw6dGj58uXPP//88PDwFVdc8cADD0QikTfqhxBCJiIIIeQ0evXVVy+77LJIJLJs2bK9e/fu3Lnz3HPPTafT1WpVCLFr166rrroqFAp98pOfXLFixbp162699VbG2Kc//WkhhOd5V1555d13313r6rvf/W4kEunr69u2bVt3d7fneUII13VvvPFGIcS4jUKIW2+99ROf+ATnXAgxMDAwffr0yy67zPd9IcTixYuPHDkihFi/fr1hGPfdd98E/RBCyAQoYBFCTre/+7u/i8VitcgihFi5ciWAbdu21f686667VFUdHh4ee/7nP/95ACMjI48//jiAvXv31tr7+/sB/Pd///eKFSsikciLL75Yi00HDhwQQozbuGfPHsbYSy+9NNb5j370IwBPPfXU2HNqli5d+ld/9Vdv1A8hhEyMDhESQk43WZaj0agsy7U/p06dCiCXy41NjUQiqVRq7PlXX331d77zncHBwY0bNwK44447AoGAYRihUGjp0qXJZHL+/PldXV3z58+fMmXK+9///htvvLGrq+uyyy47ufHll18WQrS3t491ftlllwHYuHHj1Vdf3d7e/pOf/OT555+XZXn//v3pdLr2hJP7OU0jRQj5k0UBixDSYIyxiZ/geV4qlZo5c6YQAsB3v/vdWCx2wnNeeeWVdevWrVq1asWKFT/4wQ8ef/zxa6+99uTGUqkEYHh4uKOjozZjLUUlEolCoXDppZdeccUV3/zmN0Oh0Oc+97m9e/cCiMfj43Ze93EghPw5oV8REkImu2efffYLX/iCJElnnXUWgFWrVp3whPXr1/f29i5atOib3/zm3r17zzzzzP3794/bOHfuXAC//OUvx+Y9dOgQY2zhwoWPPvro1q1b77zzzlAoBKAWxd6o89Pzxgkhf7ooYBFCTjfLsmzbPqHx+JZsNvtv//ZvjuP4vv/www/ncrnbb78dwIc+9KFZs2Z99rOffeKJJ2qdfP/73+/r69uyZcvq1atr8xaLRVmWr7322nEb3/Oe91x55ZX33XffwYMHAQghvvWtby1btuzss8+u7Uh75JFHBgcH77vvvs2bN/u+D2Dcft7W8SGE/BlgtV3uhBByenzlK1/54Q9/2NPT86lPfer222+fNm3aq6++OmfOnAULFtx2221Lliy5995777333ne/+9179+6dM2fOF7/4xY985CNjhxFzudyXv/zl5557zrbtiy+++KMf/egHP/jBlStX/vM//7Pv++ecc44Q4vOf//zcuXPHbQRQKpXuuOOOF1544aKLLkomk7Nnz77++usZY5VK5S//8i/Xrl27YMGC733ve8uWLVu9evWdd945ffr0cfshhJAJUMAihDSYEIJzXotQkiTde++9999/fyaTaXRdhBBy6ugkd0JIgzHGxn5RSAghfx7oHCxCCCGEkDqjgEUImVxs27Ysq9FVEELIW0IBixAyiXz961//6U9/Wi6XP/e5z+3cubPR5RBCyCmik9wJIYQQQuqM9mARQgghhNQZBSxCCCGEkDqjgEUIIYQQUmcUsAghhBBC6owCFiGEEEJInVHAIoQQQgipMwpYhBBCCCF1RgGLEEIIIaTOKGARQgghhNQZBSxCCCGEkDqjgEUIIYQQUmf/H3Hx5wR5u3gFAAAAAElFTkSuQmCC" title alt style="display: block; margin: auto;" /></p> +</div> +<div id="ajuste-em-separado-das-componentes-do-modelo-hurdle" class="section level2"> +<h2>Ajuste em separado das componentes do modelo Hurdle</h2> +<pre class="r"><code>## Modelo Hurdle (binomial e binomial negativa) +m3HBN$formula</code></pre> +<pre><code>## npeixes ~ npessoas + ncriancas | campista + npessoas + ncriancas</code></pre> +<pre class="r"><code>##------------------------------------------- +## Componente da contagem nula (f_zero) +indica <- with(peixe, ifelse(npeixes == 0, 1, 0)) +mzero <- glm(indica ~ campista + npessoas + ncriancas, + family = binomial, data = peixe) + +## Comparando os coeficientes +cbind("glm_binomial" = coef(mzero), + "zeroinfl" = coef(m3HBN, model = "zero"))</code></pre> +<pre><code>## glm_binomial zeroinfl +## (Intercept) 2.308713 -2.308713 +## campistaSim -1.017853 1.017853 +## npessoas -1.110389 1.110389 +## ncriancas 2.137983 -2.137983</code></pre> +<pre class="r"><code>##------------------------------------------- +## Componente da contagem nula (f_count) +library(VGAM) +countp <- subset(peixe, npeixes > 0) +mcount <- vglm(npeixes ~ npessoas + ncriancas, + family = posnegbinomial, data = countp) + +## Comparando os coeficientes (betas e theta (da BN)) +cbind("vglm_posnegbin" = coef(mcount)[-2], + "zeroinfl" = coef(m3HBN, model = "count"))</code></pre> +<pre><code>## vglm_posnegbin zeroinfl +## (Intercept):1 -1.433280 -1.433370 +## npessoas 1.026003 1.026007 +## ncriancas -1.164399 -1.164246</code></pre> +<pre class="r"><code>cbind("vglm_posnegbin" = exp(coef(mcount)[2]), + "zeroinfl" = m3HBN$theta)</code></pre> +<pre><code>## vglm_posnegbin zeroinfl +## (Intercept):2 0.3232437 0.3232322</code></pre> +</div> +</div> + +<style type="text/css"> +hr.footer { + border-top: 1px solid black; + margin-top: 20px; + margin-bottom: 2px; +} +table.footer { + margin-bottom: 10px; +} +</style> + +<hr class="footer" /> +<center> + <table class="footer" width="100%"> + <tr> + <td colspan="2" align="none"> + <h4><em> + Modelos de Regressão para Dados de Contagem com o R + </em></h4> + </td> + </tr> + <tr> + <td width="50%"><a href="http://rbras2016.ufba.br/"> + 61 RBRAS + </a></td> + <td width="50%" align="right"> + <a href="http://www.est.ufpr.br"> + Departamento de Estatística - UFPR + </a></td> + </tr> + <tr> + <td width="50%">23 a 25 de Maio de 2016</td> + <td width="50%" align="right"> + <a href="http://leg.ufpr.br/doku.php">LEG</a>, + <a href="http://www.pet.est.ufpr.br/">PET Estatística</a> + </td> + </tr> + <tr> + <td width="50%">Salvador - Bahia</td> + <td width="50%" align="right"> + <a href="https://github.com/leg-ufpr/MRDCr"> + github.com/leg-ufpr/MRDCr + </a></td> + </tr> + </table> +</center> + +</div> + +<script> + +// add bootstrap table styles to pandoc tables +$(document).ready(function () { + $('tr.header').parent('thead').parent('table').addClass('table table-condensed'); +}); + +</script> + +<!-- dynamically load mathjax for compatibility with self-contained --> +<script> + (function () { + var script = document.createElement("script"); + script.type = "text/javascript"; + script.src = "https://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML"; + document.getElementsByTagName("head")[0].appendChild(script); + })(); +</script> + +</body> +</html> diff --git a/vignettes/v07_excesso-zeros.Rmd b/vignettes/v07_excesso-zeros.Rmd new file mode 100644 index 0000000000000000000000000000000000000000..d01eb397cfba05622228adb7270def2bc108dd91 --- /dev/null +++ b/vignettes/v07_excesso-zeros.Rmd @@ -0,0 +1,341 @@ +--- +title: "Análise de Contagens Modelando Excesso de Zeros" +author: > + Walmes M. Zeviani, + Eduardo E. Ribeiro Jr & + Cesar A. Taconeli +vignette: > + %\VignetteIndexEntry{Análise de Contagens Modelando Excesso de Zeros} + %\VignetteEngine{knitr::rmarkdown} + %\VignetteEncoding{UTF-8} +--- + +```{r setup, include=FALSE} +source("_setup.R") +``` + +```{r} +library(MRDCr) +``` + +# Números de peixes capturados em um Parque Estadual # + +```{r} + +data(peixe) +peixe$campista <- as.factor(peixe$campista) +levels(peixe$campista) <- c("Não", "Sim") + +str(peixe) +## help(peixe) + +``` + +Dados sobre 250 grupos que foram ao Parque Estadual para pescar. As +informações coletadas foram refentes a presenção ou não de um campista, +ao número de crianças no grupo e ao número de indivíduos no grupo. Assim +as variáveis definidas são: + +`campista`: Fator com dois níveis que representa a presença (_Sim_) ou +ausência (_Não_) de um campista no grupo. + +`ncriancas`: Número de crianças no grupo. + +`npessoas`: Número total de pessoas no grupo. + +`npeixes`: Número de peixes capturados pelo grupo. + +## Análise exploratória ## + +```{r} + +## Estudo observacional +ftable(with(peixe, table(npessoas, ncriancas, campista))) + +## Resumo das variáveis +summary(peixe) + +## Resumo das variáveis, considerando somente as respostas não nulas +summary(subset(peixe, npeixes > 0)) + +## Contagens (marginal aos efeitos das covariáveis) +p1 <- histogram(~npeixes, data = peixe, nint = 50, grid = TRUE) +p2 <- histogram(~npeixes, data = subset(peixe, npeixes > 0), + nint = 50) + +print(p1, split = c(1, 1, 2, 1), more = TRUE) +print(p2, split = c(2, 1, 2, 1)) + +## Proporção dos valores observados +(proptb <- cbind("Proporção" = prop.table(table(peixe$npeixes)), + "N. observ" = table(peixe$npeixes))) + +## Disposição das covariáveis +par(mfrow = c(1, 3)) +sapply(1:3, function(x) { + barplot(table(peixe[, x])) + title(main = names(peixe)[x]) + names(peixe)[x] +}) + +## Contagens com relação as covariáveis +peixe$lnpeixes <- log(peixe$npeixes + 0.5) +xyplot(lnpeixes ~ ncriancas + npessoas, + groups = campista, + auto.key = list( + columns = 2, cex.title = 1, lines = TRUE, + title = "Presença de campista"), + data = peixe, + jitter.x = TRUE, + type = c("p", "g", "spline")) + +``` + +## Ajuste de modelos ## + +```{r} + +##====================================================================== +## Ajuste de modelos hurdle +library(pscl) + +## Preditores +f1 <- npeixes ~ campista + npessoas + ncriancas +f2 <- npeixes ~ campista * npessoas + ncriancas + +## Poisson +m1P <- glm(f1, data = peixe, family = poisson) +m2P <- glm(f2, data = peixe, family = poisson) + +## Hurdle Poisson +m1HP <- hurdle(f1, data = peixe, dist = "poisson") +m2HP <- hurdle(f2, data = peixe, dist = "poisson") + +## Zero Inflated Poisson +m1ZP <- zeroinfl(f1, data = peixe, dist = "poisson") +m2ZP <- zeroinfl(f2, data = peixe, dist = "poisson") + +## Binomial Negativa +library(MASS) +m1BN <- glm.nb(f1, data = peixe) +m2BN <- glm.nb(f2, data = peixe) + +## Hurdle Binomial Negativa +m1HBN <- hurdle(f1, data = peixe, dist = "negbin") +m2HBN <- hurdle(f2, data = peixe, dist = "negbin") + +## Zero Inflated Binomial Negativa +m1ZBN <- zeroinfl(f1, data = peixe, dist = "negbin") +m2ZBN <- zeroinfl(f2, data = peixe, dist = "negbin") + + +``` + +## Comparação dos ajustes ## + +```{r} + +## Via log-verossimilhança +cbind("Poisson" = sapply(list(m1P, m2P), logLik), + "HUPoisson" = sapply(list(m1HP, m2HP), logLik), + "ZIPoisson" = sapply(list(m1ZP, m2ZP), logLik), + "BinNeg" = sapply(list(m1BN, m2BN), logLik), + "HUBinNeg" = sapply(list(m1HBN, m2HBN), logLik), + "ZIBinNeg" = sapply(list(m1ZBN, m2ZBN), logLik) + ) + +``` + +```{r} + +## Testes de razão de verossimilhanças para o efeito de interação +anova(m1BN, m2BN) +lmtest::lrtest(m1HBN, m2HBN) +lmtest::lrtest(m1ZBN, m2ZBN) + +``` + +```{r} + +## Teste de Vuong para diferença entre os modelos BN e HUBN +vuong(m1BN, m1HBN) + +## Teste de Vuong para diferença entre os modelos ZIBN e HUBN +vuong(m1ZBN, m1HBN) + +``` + +```{r} + +## Estimativas dos parâmetros e testes de Wald +summary(m1BN) +summary(m1HBN) +summary(m1ZBN) + +``` + +```{r} + +## Ajuste de preditor do modelo proposto +## Retira o efeito de campista no preditor para as contagens não nula +m3HBN <- hurdle(npeixes ~ npessoas + ncriancas | + campista + npessoas + ncriancas, + data = peixe, dist = "negbin") +lmtest::lrtest(m1HBN, m3HBN) + +## Refazendo o teste de Vuong para comparação de modelos BN e HUBN +vuong(m1BN, m3HBN) + +``` + +## Avaliação do modelo proposto ## + +```{r diag, cache = TRUE} + +## Uma pequena avaliação dos resíduos +p1 <- xyplot(residuals(m3HBN) ~ fitted(m3HBN), + type = c("p", "g", "spline")) + +p2 <- qqmath(~residuals(m3HBN, type = "pearson"), + aspect = "xy", + type = c("p", "g"), + panel = function(x, ...) { + panel.qqmathline(x, ...) + panel.qqmath(x, ...) + }) + +qqsimul <- hnp::hnp(m3HBN, plot = FALSE) +p3 <- with(qqsimul, + xyplot(residuals ~ x, pch = 20) + + as.layer( + xyplot(median + lower + upper ~ x, + type = "l", col = 1, lty = c(2, 1, 1))) + ) + +print(p1, split = c(1, 1, 3, 1), more = TRUE) +print(p2, split = c(2, 1, 3, 1), more = TRUE) +print(p3, split = c(3, 1, 3, 1), more = FALSE) + +``` + +```{r} + +## Estimativas dos parâmetros e testes de Wald +summary(m3HBN) + +``` + +## Predição ## + +```{r} + +##---------------------------------------------------------------------- + +## Região para predição +pred <- expand.grid(campista = c("Não", "Sim"), + ncriancas = 0:3, npessoas = 1:4) + +##------------------------------------------- +## Estimando as médias +aux <- predict(m3HBN, newdata = pred, type = "response") +predmu <- cbind(pred, fit = aux) + +xyplot(fit ~ npessoas | campista, + groups = ncriancas, data = predmu, + type = c("l", "g"), + auto.key = list( + columns = 2, cex.title = 1, + lines = TRUE, points = FALSE, + title = "Número de crianças"), + strip = strip.custom( + strip.names = TRUE, var.name = "campista" + )) + +##------------------------------------------- +## Estimando probabilidades +pred <- expand.grid(campista = "Sim", + ncriancas = 0:3, npessoas = 4) +py <- c(t(predict(m3HBN, type = "prob", at = 0:20, newdata = pred))) +da <- data.frame(y = 0:20, py = py, ncriancas = rep(0:3, each = 21)) + +barchart(py ~ y | factor(ncriancas), data = da, + stack = FALSE, horizontal = FALSE, + as.table = TRUE, between = list(y = 0.5), + scales = list( y = "free", x = list(labels = 0:20)), + strip = strip.custom( + strip.names = TRUE, var.name = "nº de crianças" + )) + +``` + +```{r boot, cache = TRUE} + +## Intervalos de confiança para predição + +##------------------------------------------- +## Via reamostragem +n <- nrow(peixe) +formula <- m3HBN$formula +start <- list(zero = coef(m3HBN, "zero"), count = coef(m3HBN, "count")) + +boots <- replicate(100, { + id <- sample(1:n, replace = TRUE) + model <- hurdle(formula, data = peixe[id, ], start = start) + yhat <- predict(model, newdata = predmu, type = "response") +}) + +pred2 <- cbind(predmu, t(apply(boots, 1, function(x) { + quantile(x, probs = c(0.025, 0.975))}))) +names(pred2)[5:6] <- c("lwr", "upr") + +## Viasualizando graficamente +xyplot(fit ~ npessoas | campista, + groups = ncriancas, data = pred2, + type = c("l", "g"), cty = "bands", + ly = pred2$lwr, uy = pred2$upr, + prepanel = prepanel.cbH, alpha = 0.5, + panel = panel.superpose, + panel.groups = panel.cbH, + auto.key = list( + columns = 2, cex.title = 1, + lines = TRUE, points = FALSE, + title = "Número de crianças"), + strip = strip.custom( + strip.names = TRUE, var.name = "campista" + )) + +``` + +## Ajuste em separado das componentes do modelo Hurdle ## + +```{r} + +## Modelo Hurdle (binomial e binomial negativa) +m3HBN$formula + +##------------------------------------------- +## Componente da contagem nula (f_zero) +indica <- with(peixe, ifelse(npeixes == 0, 1, 0)) +mzero <- glm(indica ~ campista + npessoas + ncriancas, + family = binomial, data = peixe) + +## Comparando os coeficientes +cbind("glm_binomial" = coef(mzero), + "zeroinfl" = coef(m3HBN, model = "zero")) + +##------------------------------------------- +## Componente da contagem nula (f_count) +library(VGAM) +countp <- subset(peixe, npeixes > 0) +mcount <- vglm(npeixes ~ npessoas + ncriancas, + family = posnegbinomial, data = countp) + +## Comparando os coeficientes (betas e theta (da BN)) +cbind("vglm_posnegbin" = coef(mcount)[-2], + "zeroinfl" = coef(m3HBN, model = "count")) +cbind("vglm_posnegbin" = exp(coef(mcount)[2]), + "zeroinfl" = m3HBN$theta) + +``` + +