{ "cells": [ { "cell_type": "markdown", "id": "677c5e27", "metadata": {}, "source": [ "Starting with MLE and logistic regression model\n" ] }, { "cell_type": "markdown", "id": "2520b517", "metadata": {}, "source": [ "Prerequisites\n", "Make sure you have the necessary Python libraries installed:\n", "pip install numpy pandas scikit-learn scipy matplotlib statsmodels\n", "\n", "\n" ] }, { "cell_type": "markdown", "id": "97cb296e", "metadata": {}, "source": [ "1. Skealearn library\n", "Bootstrapping Method\n", "Mean S curve-should be corrected" ] }, { "cell_type": "code", "execution_count": 4, "id": "480f64ff", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Intercept (w0): -11.683190353932442\n", "Coefficient (w1): 5.687089258005263\n", "Standard errors: [3.50977855 1.95402341]\n", "95% CI for Intercept (w0): (-18.562229897321522, -4.804150810543363)\n", "95% CI for Coefficient (w1): (1.8572737464039735, 9.516904769606551)\n", "params:\n", "[-11.68319035 5.68708926]\n", "covariance matrix:\n", "[[12.31854544 -6.71118734]\n", " [-6.71118734 3.81820749]]\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "from sklearn.linear_model import LogisticRegression\n", "from scipy import io\n", "from scipy.stats import norm\n", "\n", "# Load the data\n", "data_path = \"../data/\"\n", "suv_file = data_path + \"suv_percentilesSLOthenUWM.mat\"\n", "flags_file = data_path + \"flags_combined.mat\"\n", "\n", "# Load .mat files\n", "suv_dict = io.loadmat(suv_file)\n", "flags_dict = io.loadmat(flags_file)\n", "\n", "# Extract relevant data\n", "suv = suv_dict['lung_SUVperc_COMBINED'][0:58, :, :]\n", "flags = flags_dict['flags'][0:58, 3]\n", "\n", "# Choose percentile of interest\n", "p = 94 # For lung and bowel, use 94 (0-indexed)\n", "X = np.nanmax(suv[:, :, p], axis=1).reshape(-1, 1)\n", "\n", "# Handle missing values\n", "valid_indices = ~np.isnan(X).flatten()\n", "X = X[valid_indices]\n", "flags = flags[valid_indices]\n", "\n", "# Fit logistic regression using sklearn\n", "logr = LogisticRegression(penalty=None, solver='lbfgs')\n", "logr.fit(X, flags)\n", "\n", "# Print model coefficients\n", "print(\"Intercept (w0):\", logr.intercept_[0])\n", "print(\"Coefficient (w1):\", logr.coef_[0][0])\n", "\n", "# Design matrix with intercept\n", "X_design = np.hstack([np.ones((X.shape[0], 1)), X])\n", "\n", "# Predicted probabilities\n", "pred_probs = logr.predict_proba(X)[:, 1]\n", "\n", "# Variance matrix\n", "V = np.diagflat(pred_probs * (1 - pred_probs))\n", "\n", "# Covariance matrix of parameters\n", "cov_matrix = np.linalg.inv(X_design.T @ V @ X_design)\n", "\n", "# Standard errors\n", "std_errors = np.sqrt(np.diag(cov_matrix))\n", "print(\"Standard errors:\", std_errors)\n", "\n", "# Combine parameters\n", "params = np.array([logr.intercept_[0], logr.coef_[0][0]])\n", "\n", "# 95% CI for parameters using normal approximation\n", "z = norm.ppf(0.975) # 1.96 for 95% CI\n", "\n", "ci_intercept = (\n", " params[0] - z * std_errors[0],\n", " params[0] + z * std_errors[0]\n", ")\n", "\n", "ci_coef = (\n", " params[1] - z * std_errors[1],\n", " params[1] + z * std_errors[1]\n", ")\n", "\n", "print(f\"95% CI for Intercept (w0): {ci_intercept}\")\n", "print(f\"95% CI for Coefficient (w1): {ci_coef}\")\n", "\n", "print(\"params:\")\n", "print(params)\n", "\n", "print(\"covariance matrix:\")\n", "print(cov_matrix)\n", "\n", "# Define logistic function\n", "def logistic(x, params):\n", " return 1 / (1 + np.exp(-(params[0] + params[1] * x)))\n", "\n", "# Generate bootstrap samples\n", "n_bootstraps = 1000\n", "bootstrap_params = np.random.multivariate_normal(params, cov_matrix, size=n_bootstraps)\n", "\n", "# Generate x values for plotting\n", "x_vals = np.linspace(X.min(), X.max(), 100)\n", "\n", "# Compute predicted probabilities for each bootstrap sample\n", "predicted_probs = np.array([logistic(x_vals, bp) for bp in bootstrap_params])\n", "\n", "# Calculate mean predicted probability across samples\n", "mean_predicted_probs = predicted_probs.mean(axis=0)\n", "\n", "# Calculate 95% confidence intervals\n", "lower_bounds = np.percentile(predicted_probs, 2.5, axis=0)\n", "upper_bounds = np.percentile(predicted_probs, 97.5, axis=0)\n", "\n", "# Plotting\n", "plt.figure(figsize=(10, 6))\n", "plt.title(\"Prediction Probability of AE Depending on maxSUV Value\")\n", "plt.xlabel(r\"$x = \\max_{visit} SUV(visit, p)$\")\n", "plt.ylabel(\"P(AE | X = x)\")\n", "\n", "# Scatter data points\n", "plt.scatter(X[flags == 0], flags[flags == 0], label=\"NC\", color='blue', alpha=0.6)\n", "plt.scatter(X[flags == 1], flags[flags == 1], label=\"AE\", color='red', alpha=0.6)\n", "\n", "# Plot the mean logistic curve\n", "plt.plot(x_vals, mean_predicted_probs, color='green', label=\"mean\")\n", "plt.plot(x_vals, logistic(x_vals, params), color='red', label=\"Logistic Regression (MLE)\")\n", "\n", "# Confidence interval band\n", "plt.fill_between(x_vals, lower_bounds, upper_bounds, color='green', alpha=0.2, label=\"95% CI (Parametric Bootstrap)\")\n", "\n", "plt.legend(loc='center right')\n", "plt.grid(True)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "d0807320", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "4039de80", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "7deeceb4", "metadata": {}, "source": [ "Here, I applied some changes to make the curve smoothed. " ] }, { "cell_type": "code", "execution_count": 10, "id": "96f9e51b", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Intercept (w0): -11.683190353932442\n", "Coefficient (w1): 5.687089258005263\n", "params:\n", "[-11.68319035 5.68708926]\n", "covariance matrix:\n", "[[12.31854544 -6.71118734]\n", " [-6.71118734 3.81820749]]\n", "95% CI for Intercept (w0): (-18.562229897321522, -4.804150810543363)\n", "95% CI for Coefficient (w1): (1.8572737464039735, 9.516904769606551)\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "from scipy import io\n", "from scipy.stats import norm\n", "from sklearn.linear_model import LogisticRegression\n", "import matplotlib.pyplot as plt\n", "from scipy.ndimage import gaussian_filter\n", "from scipy.interpolate import make_interp_spline\n", "\n", "# Load the data\n", "data_path = \"../data/\"\n", "suv_file = data_path + \"suv_percentilesSLOthenUWM.mat\"\n", "flags_file = data_path + \"flags_combined.mat\"\n", "\n", "# Load .mat files\n", "suv_dict = io.loadmat(suv_file)\n", "flags_dict = io.loadmat(flags_file)\n", "\n", "# Extract relevant data\n", "suv = suv_dict['lung_SUVperc_COMBINED'][0:58, :, :]\n", "flags = flags_dict['flags'][0:58, 3]\n", "\n", "# Choose percentile of interest\n", "p = 94 # For lung and bowel, use 94 (0-indexed)\n", "X = np.nanmax(suv[:, :, p], axis=1).reshape(-1, 1)\n", "\n", "# Handle missing values\n", "valid_indices = ~np.isnan(X).flatten()\n", "X = X[valid_indices]\n", "flags = flags[valid_indices]\n", "\n", "# Fit logistic regression using sklearn\n", "logr = LogisticRegression(penalty=None, solver='lbfgs')\n", "logr.fit(X, flags)\n", "\n", "# Print model coefficients\n", "print(\"Intercept (w0):\", logr.intercept_[0])\n", "print(\"Coefficient (w1):\", logr.coef_[0][0])\n", "\n", "# Design matrix with intercept\n", "X_design = np.hstack([np.ones((X.shape[0], 1)), X])\n", "pred_probs = logr.predict_proba(X)[:, 1]\n", "\n", "# Variance matrix\n", "V = np.diagflat(pred_probs * (1 - pred_probs))\n", "cov_matrix = np.linalg.inv(X_design.T @ V @ X_design)\n", "std_errors = np.sqrt(np.diag(cov_matrix))\n", "\n", "# Combine parameters\n", "params = np.insert(logr.coef_[0], 0, logr.intercept_[0])\n", "print(\"params:\")\n", "print(params)\n", "\n", "print(\"covariance matrix:\")\n", "print(cov_matrix)\n", "\n", "# Confidence intervals for parameters\n", "z = norm.ppf(0.975)\n", "ci_intercept = (params[0] - z * std_errors[0], params[0] + z * std_errors[0])\n", "ci_coef = (params[1] - z * std_errors[1], params[1] + z * std_errors[1])\n", "print(f\"95% CI for Intercept (w0): {ci_intercept}\")\n", "print(f\"95% CI for Coefficient (w1): {ci_coef}\")\n", "\n", "# Define logistic function\n", "def logistic(x, params):\n", " return 1 / (1 + np.exp(-(params[0] + params[1] * x)))\n", "\n", "# Bootstrap\n", "n_bootstraps = 10000 # Increased number of bootstrap samples for better smoothing\n", "bootstrap_params = np.random.multivariate_normal(params, cov_matrix, size=n_bootstraps)\n", "\n", "# Generate x values for plotting\n", "x_vals = np.linspace(X.min(), X.max(), 1000)\n", "\n", "# Compute predicted probabilities for each bootstrap sample\n", "predicted_probs = np.array([logistic(x_vals, bp) for bp in bootstrap_params])\n", "mean_predicted_probs_raw = predicted_probs.mean(axis=0)\n", "\n", "# --- Exponential Smoothing ---\n", "# Apply exponential smoothing with a smoothing factor (alpha)\n", "alpha = 0.1 # A smaller alpha gives more smoothing\n", "mean_predicted_probs_smoothed = np.copy(mean_predicted_probs_raw)\n", "for i in range(1, len(mean_predicted_probs_raw)):\n", " mean_predicted_probs_smoothed[i] = alpha * mean_predicted_probs_raw[i] + (1 - alpha) * mean_predicted_probs_smoothed[i-1]\n", "\n", "# --- Weighted Moving Average ---\n", "# Create a larger kernel for moving average smoothing\n", "weights = np.array([1, 2, 3, 4, 3, 2, 1], dtype=float)\n", "weights /= weights.sum()\n", "\n", "lower_bounds = np.percentile(predicted_probs, 2.5, axis=0)\n", "upper_bounds = np.percentile(predicted_probs, 97.5, axis=0)\n", "smoothed_lower_bounds = np.convolve(lower_bounds, weights, mode='same')\n", "smoothed_upper_bounds = np.convolve(upper_bounds, weights, mode='same')\n", "\n", "# --- Spline Interpolation ---\n", "# Apply cubic spline interpolation to smooth the predicted probabilities even more\n", "spl = make_interp_spline(x_vals, mean_predicted_probs_smoothed, k=3)\n", "smoothed_mean_curve = spl(x_vals)\n", "\n", "# Plotting\n", "plt.figure(figsize=(10, 6))\n", "plt.title(\"Prediction Probability of AE Depending on maxSUV Value (Smoothed with Exponential Smoothing)\")\n", "plt.xlabel(r\"$x = \\max_{visit} SUV(visit, p)$\")\n", "plt.ylabel(\"P(AE | X = x)\")\n", "\n", "# Scatter data points\n", "plt.scatter(X[flags == 0], flags[flags == 0], label=\"NC\", color='blue', alpha=0.6)\n", "plt.scatter(X[flags == 1], flags[flags == 1], label=\"AE\", color='red', alpha=0.6)\n", "\n", "# Plot smoothed logistic curve\n", "plt.plot(x_vals, smoothed_mean_curve, color='green', label=\"Smoothed Mean Prediction (Spline)\")\n", "\n", "# Plot original MLE logistic curve\n", "plt.plot(x_vals, logistic(x_vals, params), color='orange', linestyle='--', label=\"Logistic Regression (MLE)\")\n", "\n", "# Confidence interval band with smoothed bounds\n", "plt.fill_between(x_vals, smoothed_lower_bounds, smoothed_upper_bounds,\n", " color='green', alpha=0.2, label=\"95% CI (Smoothed)\")\n", "\n", "plt.legend(loc='center right')\n", "plt.grid(True)\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 22, "id": "53ff301b", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "from scipy import io\n", "from scipy.stats import norm\n", "from sklearn.linear_model import LogisticRegression\n", "import matplotlib.pyplot as plt\n", "from scipy.ndimage import gaussian_filter1d\n", "\n", "# Load the data\n", "data_path = \"../data/\"\n", "suv_file = data_path + \"suv_percentilesSLOthenUWM.mat\"\n", "flags_file = data_path + \"flags_combined.mat\"\n", "\n", "suv_dict = io.loadmat(suv_file)\n", "flags_dict = io.loadmat(flags_file)\n", "\n", "# Extract and preprocess data\n", "suv = suv_dict['lung_SUVperc_COMBINED'][0:58, :, :]\n", "flags = flags_dict['flags'][0:58, 3]\n", "p = 94 # Target percentile\n", "X = np.nanmax(suv[:, :, p], axis=1).reshape(-1, 1)\n", "\n", "# Remove NaN values\n", "valid_indices = ~np.isnan(X).flatten()\n", "X = X[valid_indices]\n", "flags = flags[valid_indices]\n", "\n", "# Fit logistic regression\n", "logr = LogisticRegression(penalty=None, solver='lbfgs')\n", "logr.fit(X, flags)\n", "\n", "# Model parameters and covariance\n", "X_design = np.hstack([np.ones((X.shape[0], 1)), X])\n", "pred_probs = logr.predict_proba(X)[:, 1]\n", "V = np.diagflat(pred_probs * (1 - pred_probs))\n", "cov_matrix = np.linalg.inv(X_design.T @ V @ X_design)\n", "params = np.insert(logr.coef_[0], 0, logr.intercept_[0])\n", "\n", "# --- Bootstrapping ---\n", "n_bootstraps = 10000 # Reduced for stability and overlap\n", "bootstrap_params = np.random.multivariate_normal(params, cov_matrix, size=n_bootstraps)\n", "x_vals = np.linspace(X.min(), X.max(), 500)\n", "\n", "# Bootstrap predictions\n", "predicted_probs = 1 / (1 + np.exp(-(bootstrap_params[:, 0:1] + bootstrap_params[:, 1:2] * x_vals)))\n", "\n", "# --- Smoothing ---\n", "sigma_curve = 1.0 # Reduced smoothing for overlap\n", "smoothed_bootstrap_probs = np.array([\n", " gaussian_filter1d(prob_curve, sigma=sigma_curve) \n", " for prob_curve in predicted_probs\n", "])\n", "\n", "# Mean and CI bounds (no second smoothing for now)\n", "mean_smoothed_probs = smoothed_bootstrap_probs.mean(axis=0)\n", "lower_bounds = np.percentile(smoothed_bootstrap_probs, 2.5, axis=0)\n", "upper_bounds = np.percentile(smoothed_bootstrap_probs, 97.5, axis=0)\n", "\n", "# --- Plotting ---\n", "plt.figure(figsize=(10, 6))\n", "plt.title(\"AE Probability with Overlapping Curves\")\n", "plt.xlabel(r\"$x = \\max_{visit} SUV(visit, p)$\")\n", "plt.ylabel(\"P(AE | X = x)\")\n", "\n", "# Data points\n", "plt.scatter(X[flags == 0], flags[flags == 0], label=\"NC\", color='blue', alpha=0.6)\n", "plt.scatter(X[flags == 1], flags[flags == 1], label=\"AE\", color='red', alpha=0.6)\n", "\n", "# Logistic MLE curve\n", "plt.plot(x_vals, 1 / (1 + np.exp(-(params[0] + params[1] * x_vals))),\n", " color='orange', linestyle='--', label=\"Logistic (MLE)\")\n", "\n", "# Bootstrap mean curve\n", "plt.plot(x_vals, mean_smoothed_probs, color='green', linewidth=2, label=\"Mean Bootstrap Curve\")\n", "\n", "# Confidence interval\n", "plt.fill_between(x_vals, lower_bounds, upper_bounds,\n", " color='green', alpha=0.2, label=\"95% CI (Bootstrap)\")\n", "\n", "plt.legend(loc='center right')\n", "plt.grid(True)\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 13, "id": "bca21a7f", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Intercept (w0): -11.683190353932442\n", "Coefficient (w1): 5.687089258005263\n", "params:\n", "[-11.68319035 5.68708926]\n", "covariance matrix:\n", "[[12.31854544 -6.71118734]\n", " [-6.71118734 3.81820749]]\n", "95% CI for Intercept (w0): (-18.562229897321522, -4.804150810543363)\n", "95% CI for Coefficient (w1): (1.8572737464039735, 9.516904769606551)\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "from scipy import io\n", "from scipy.stats import norm\n", "from sklearn.linear_model import LogisticRegression\n", "import matplotlib.pyplot as plt\n", "from scipy.ndimage import gaussian_filter\n", "\n", "# Load the data\n", "data_path = \"../data/\"\n", "suv_file = data_path + \"suv_percentilesSLOthenUWM.mat\"\n", "flags_file = data_path + \"flags_combined.mat\"\n", "\n", "# Load .mat files\n", "suv_dict = io.loadmat(suv_file)\n", "flags_dict = io.loadmat(flags_file)\n", "\n", "# Extract relevant data\n", "suv = suv_dict['lung_SUVperc_COMBINED'][0:58, :, :]\n", "flags = flags_dict['flags'][0:58, 3]\n", "\n", "# Choose percentile of interest\n", "p = 94 # For lung and bowel, use 94 (0-indexed)\n", "X = np.nanmax(suv[:, :, p], axis=1).reshape(-1, 1)\n", "\n", "# Handle missing values\n", "valid_indices = ~np.isnan(X).flatten()\n", "X = X[valid_indices]\n", "flags = flags[valid_indices]\n", "\n", "# Fit logistic regression using sklearn\n", "logr = LogisticRegression(penalty=None, solver='lbfgs')\n", "logr.fit(X, flags)\n", "\n", "# Print model coefficients\n", "print(\"Intercept (w0):\", logr.intercept_[0])\n", "print(\"Coefficient (w1):\", logr.coef_[0][0])\n", "\n", "# Design matrix with intercept\n", "X_design = np.hstack([np.ones((X.shape[0], 1)), X])\n", "pred_probs = logr.predict_proba(X)[:, 1]\n", "\n", "# Variance matrix\n", "V = np.diagflat(pred_probs * (1 - pred_probs))\n", "cov_matrix = np.linalg.inv(X_design.T @ V @ X_design)\n", "std_errors = np.sqrt(np.diag(cov_matrix))\n", "\n", "# Combine parameters\n", "params = np.insert(logr.coef_[0], 0, logr.intercept_[0])\n", "print(\"params:\")\n", "print(params)\n", "\n", "print(\"covariance matrix:\")\n", "print(cov_matrix)\n", "\n", "# Confidence intervals for parameters\n", "z = norm.ppf(0.975)\n", "ci_intercept = (params[0] - z * std_errors[0], params[0] + z * std_errors[0])\n", "ci_coef = (params[1] - z * std_errors[1], params[1] + z * std_errors[1])\n", "print(f\"95% CI for Intercept (w0): {ci_intercept}\")\n", "print(f\"95% CI for Coefficient (w1): {ci_coef}\")\n", "\n", "# Define logistic function\n", "def logistic(x, params):\n", " return 1 / (1 + np.exp(-(params[0] + params[1] * x)))\n", "\n", "# Bootstrap\n", "n_bootstraps = 5000\n", "bootstrap_params = np.random.multivariate_normal(params, cov_matrix, size=n_bootstraps)\n", "\n", "# Generate x values for plotting\n", "x_vals = np.linspace(X.min(), X.max(), 1000)\n", "\n", "# Compute predicted probabilities for each bootstrap sample\n", "predicted_probs = np.array([logistic(x_vals, bp) for bp in bootstrap_params])\n", "mean_predicted_probs_raw = predicted_probs.mean(axis=0)\n", "\n", "# --- Stronger Smoothing ---\n", "# 1. Smooth the mean predicted probabilities (higher sigma for more smoothing)\n", "mean_predicted_probs_smoothed = gaussian_filter(mean_predicted_probs_raw, sigma=4) # Increased smoothing\n", "\n", "# 2. Smooth CI bounds using a wider weighted moving average (using a larger kernel)\n", "def weighted_moving_average(data, weights):\n", " return np.convolve(data, weights, mode='same')\n", "\n", "# Wider smoothing kernel (7 points instead of 5)\n", "weights = np.array([1, 2, 3, 4, 3, 2, 1], dtype=float)\n", "weights /= weights.sum()\n", "\n", "lower_bounds = np.percentile(predicted_probs, 2.5, axis=0)\n", "upper_bounds = np.percentile(predicted_probs, 97.5, axis=0)\n", "smoothed_lower_bounds = weighted_moving_average(lower_bounds, weights)\n", "smoothed_upper_bounds = weighted_moving_average(upper_bounds, weights)\n", "\n", "# Plotting\n", "plt.figure(figsize=(10, 6))\n", "plt.title(\"Prediction Probability of AE Depending on maxSUV Value (Smoothed with Stronger Smoothing)\")\n", "plt.xlabel(r\"$x = \\max_{visit} SUV(visit, p)$\")\n", "plt.ylabel(\"P(AE | X = x)\")\n", "\n", "# Scatter data points\n", "plt.scatter(X[flags == 0], flags[flags == 0], label=\"NC\", color='blue', alpha=0.6)\n", "plt.scatter(X[flags == 1], flags[flags == 1], label=\"AE\", color='red', alpha=0.6)\n", "\n", "# Plot smoothed logistic curve\n", "plt.plot(x_vals, mean_predicted_probs_smoothed, color='green', label=\"Smoothed Mean Prediction\")\n", "\n", "# Plot original MLE logistic curve\n", "plt.plot(x_vals, logistic(x_vals, params), color='orange', linestyle='--', label=\"Logistic Regression (MLE)\")\n", "\n", "# Confidence interval band with smoothed bounds\n", "plt.fill_between(x_vals, smoothed_lower_bounds, smoothed_upper_bounds,\n", " color='green', alpha=0.2, label=\"95% CI (Smoothed)\")\n", "\n", "plt.legend(loc='center right')\n", "plt.grid(True)\n", "plt.show()\n" ] }, { "cell_type": "markdown", "id": "0b16bc57", "metadata": {}, "source": [ "The next model used delta for standard error....becuase it assumes that we have gussian dist....It is a standard method..." ] }, { "cell_type": "markdown", "id": "92b70025", "metadata": {}, "source": [ "My question? You mentined that it would be better not use regulization. Whay? Also, what about penalty? " ] }, { "cell_type": "markdown", "id": "16b21d5a", "metadata": {}, "source": [ "2. Statmodels library\n", "Delta Method" ] }, { "cell_type": "code", "execution_count": null, "id": "36e9c0c3", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Optimization terminated successfully.\n", " Current function value: inf\n", " Iterations 8\n", " Logit Regression Results \n", "==============================================================================\n", "Dep. Variable: y No. Observations: 58\n", "Model: Logit Df Residuals: 56\n", "Method: MLE Df Model: 1\n", "Date: Tue, 06 May 2025 Pseudo R-squ.: inf\n", "Time: 16:48:37 Log-Likelihood: -inf\n", "converged: True LL-Null: 0.0000\n", "Covariance Type: nonrobust LLR p-value: 1.000\n", "==============================================================================\n", " coef std err z P>|z| [0.025 0.975]\n", "------------------------------------------------------------------------------\n", "const -11.6839 3.510 -3.328 0.001 -18.564 -4.804\n", "x1 5.6870 1.954 2.910 0.004 1.857 9.517\n", "==============================================================================\n", "\n", "95% Confidence Intervals for Parameters:\n", " [[-18.56416559 -4.8035785 ]\n", " [ 1.85686085 9.51707004]]\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "c:\\Users\\zahra\\anaconda3\\Lib\\site-packages\\statsmodels\\discrete\\discrete_model.py:2385: RuntimeWarning: overflow encountered in exp\n", " return 1/(1+np.exp(-X))\n", "c:\\Users\\zahra\\anaconda3\\Lib\\site-packages\\statsmodels\\discrete\\discrete_model.py:2443: RuntimeWarning: divide by zero encountered in log\n", " return np.sum(np.log(self.cdf(q * linpred)))\n", "c:\\Users\\zahra\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:595: HessianInversionWarning: Inverting hessian failed, no bse or cov_params available\n", " warnings.warn('Inverting hessian failed, no bse or cov_params '\n", "c:\\Users\\zahra\\anaconda3\\Lib\\site-packages\\statsmodels\\base\\model.py:595: HessianInversionWarning: Inverting hessian failed, no bse or cov_params available\n", " warnings.warn('Inverting hessian failed, no bse or cov_params '\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "from scipy import io\n", "import statsmodels.api as sm\n", "\n", "# Load the data\n", "data_path = \"../data/\"\n", "suv_file = data_path + \"suv_percentilesSLOthenUWM.mat\"\n", "flags_file = data_path + \"flags_combined.mat\"\n", "\n", "# Load .mat files\n", "suv_dict = io.loadmat(suv_file)\n", "flags_dict = io.loadmat(flags_file)\n", "\n", "# Extract relevant data\n", "suv = suv_dict['lung_SUVperc_COMBINED'][0:58, :, :]\n", "flags = flags_dict['flags'][0:58, 3]\n", "\n", "# Choose percentile of interest\n", "p = 94 # For lung and bowel, use 94 (0-indexed)\n", "X = np.nanmax(suv[:, :, p], axis=1).reshape(-1, 1)\n", "\n", "# Handle missing values\n", "valid_indices = ~np.isnan(X).flatten()\n", "X = X[valid_indices]\n", "flags = flags[valid_indices]\n", "\n", "# Add intercept term\n", "X_with_intercept = sm.add_constant(X)\n", "\n", "# Fit logistic regression using MLE\n", "model = sm.Logit(flags, X_with_intercept)\n", "result = model.fit()\n", "\n", "# Print model summary and parameter confidence intervals\n", "print(result.summary())\n", "print(\"\\n95% Confidence Intervals for Parameters:\\n\", result.conf_int())\n", "\n", "# Prepare values for plotting predictions\n", "x_vals = np.linspace(X.min(), X.max(), 100)\n", "x_vals_with_intercept = sm.add_constant(x_vals)\n", "\n", "# Compute predicted probabilities\n", "predicted_probs = result.predict(x_vals_with_intercept)\n", "\n", "# Compute confidence intervals using the delta method\n", "# Get the covariance matrix of the parameters\n", "cov_params = result.cov_params()\n", "\n", "# Compute the standard errors for the predicted probabilities\n", "# For each x, compute the gradient (Jacobian) of the logistic function\n", "def logistic(x):\n", " return 1 / (1 + np.exp(-x))\n", "\n", "# Compute the linear predictor\n", "linear_pred = x_vals_with_intercept @ result.params\n", "\n", "# Compute the gradients\n", "gradients = x_vals_with_intercept * (logistic(linear_pred) * (1 - logistic(linear_pred)))[:, np.newaxis]\n", "\n", "# Compute the standard errors\n", "standard_errors = np.sqrt(np.sum(gradients @ cov_params * gradients, axis=1))\n", "\n", "# Compute the confidence intervals\n", "z = 1.96 # for 95% confidence interval\n", "lower_bounds = predicted_probs - z * standard_errors\n", "upper_bounds = predicted_probs + z * standard_errors\n", "\n", "# Ensure the bounds are within [0,1]\n", "lower_bounds = np.clip(lower_bounds, 0, 1)\n", "upper_bounds = np.clip(upper_bounds, 0, 1)\n", "\n", "# Plotting\n", "plt.figure(figsize=(10, 6))\n", "plt.title(\"Prediction Probability of AE Depending on maxSUV Value\")\n", "plt.xlabel(r\"$x = \\max_{visit} SUV(visit, p)$\")\n", "plt.ylabel(\"P(AE | X = x)\")\n", "\n", "# Scatter data points\n", "plt.scatter(X[flags == 0], flags[flags == 0], label=\"NC\", color='blue', alpha=0.6)\n", "plt.scatter(X[flags == 1], flags[flags == 1], label=\"AE\", color='red', alpha=0.6)\n", "\n", "# Plot the mean logistic curve (S-shape)\n", "plt.plot(x_vals, predicted_probs, color='green', label=\"Logistic Regression (MLE)\")\n", "\n", "# Confidence interval band\n", "plt.fill_between(x_vals, lower_bounds, upper_bounds, color='green', alpha=0.2, label=\"95% CI (Delta Method)\")\n", "\n", "plt.legend(loc='center right')\n", "plt.grid(True)\n", "plt.show()\n" ] }, { "cell_type": "markdown", "id": "e66de4c4", "metadata": {}, "source": [ "#to chech the CI of the parameters" ] }, { "cell_type": "code", "execution_count": 1, "id": "cee11b36", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Intercept (w0): -11.683190353932442\n", "Coefficient (w1): 5.687089258005263\n", "Standard errors: [3.50977855 1.95402341]\n", "95% CI for Intercept (w0): (-18.562229897321522, -4.804150810543363)\n", "95% CI for Coefficient (w1): (1.8572737464039735, 9.516904769606551)\n" ] }, { "data": { 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xkTPOOKPJPDVN4+OPP27V6z8UAwYM4LTTTmPevHkopYDoQA3V1dVcd911B3zu0UcfjdVqZfny5QAsW7aMadOmccopp/DZZ5/h9XrZvXs3mzdvZvr06YcV56xZszAYDLHHo0ePBmj03j5cbX0f6HQ6Tj/99EZl+3/eWsvj8bB69WrOPvtsrFZrrDwxMbHJMt566y10Oh0/+9nPGn2Gc3JyGDNmTKMRFqF13wv/+9//GDJkyAG301tvvUVKSgqnn356o+WOHTuWnJycJsttyfLly1m9ejVffPEFb731FtOnT+eCCy5ocq7ZK6+8wtFHH01CQgJGoxGTycT8+fOb7T57/PHHk5iYGHucnZ1NVlZW7DW2Zf0eeeSRAJx33nm8/PLLHT7qohDdmSROQvQSEyZM4Pbbb+eVV16hpKSEm266iR07djQZICItLa3RY7PZfMByv98PRM+lAhqNHNYgLy8PTdOora2ltrYWpVSL9fad18Gkp6c3KbNYLPh8vtjj8vJy1q9fj8lkanRLTExEKRVLHKurqzEajU3mmZOT06pYNE1j4cKF5OXlMX78eOrq6qirq2P69Ok4HA7mz5/f5DlWq5UJEyY0ufXr169VyzzvvPNYvXo1X375JRs3bqS6urrZpGv/dX2wbbX/+j/Qemmou2vXLo499lj27NnDE088EUvW//a3vwE02iYQ3dHb3/7z7Ci//OUv2bx5M8uWLQOi52ZNnjz5oCfqW61Wjj766Fji9N577zFjxgymTZtGJBJhxYoVsXkebuK0//puGGlx//W4v759+7J9+/ZWLaOt7wO73d5oJ7whrobvgLaora1F07RmP1/7l5WXl6OUIjs7u8nn+PPPP29y8Kc13wuVlZUHHVCkvLycuro6zGZzk+WWlZU1WW5LxowZw4QJE2LnyL3yyisMGjSI//u//4vVWbRoEeeddx75+fk899xzrFy5ktWrV3PFFVc0u34P9hrbsn6nTp3K4sWLCYfDXHLJJfTp04eRI0fy4osvtur1CdGbdI9hlYQQ7cpkMnHXXXfx2GOP8e2337bLPBt+yJu7blFJSQl6vZ7U1FSUUuj1+hbrAbERqNpDRkYGNpuNBQsWtDgdovGHw2Gqq6sb7ZSUlZW1ajnLly+PHe1tbqfm888/Z8OGDQwfPrytL6FFmZmZTJgw4aD19h944GDbav/1f6D10lC2ePFiPB4PixYtapT4rVu3rtmYysvLm5TtP8+OcsIJJzBy5Ej++te/kpCQwFdffcVzzz3XqueeeOKJzJ07ly+++ILi4mJmzJhBYmIiRx55JMuWLaOkpIQhQ4ZQUFDQoa+hJSeffDJ/+ctf+Pzzzw86il1b3wftKTU1FZ1O1+zna/+yjIwMdDodK1asaHao/tYO37+vzMxMiouLD1gnIyOD9PR03n777Wan79vi0xZ6vZ4RI0bwyiuvUFFRQVZWFs899xz9+/fnpZdeavR5bRh4o63asn4BZs+ezezZswkEAnz++ec88MADXHjhhRQWFjJ58uRDikGInkhanITo4Vq6AGtD94+GVp7DNXToUPLz83nhhRdiXaAg2mXktddei42053A4mDRpEosWLWp0BFjTNJ577jn69OnDkCFDgNYfZT+Q0047ja1bt5Kent5s607D9aGOP/54gCbXVXrhhRdatZz58+ej1+tZvHgxH3zwQaPbs88+C9Bi8tbZJk+ejM1ma5IsFBcX8/7773PiiSc2eU5L62XatGnA3uRs351YpRT/+te/mo3B5XLxxhtvNJmnXq9n6tSpbXtBzdi/hWF/N9xwA0uWLOHOO+8kOzs7NoLjwUyfPp1wOMzvfvc7+vTpw7Bhw2Lly5cv5/33329Va9PB4jtUN910Ew6Hgzlz5lBfX99kulIq1kXsUN4H7aVhZM5FixY1alFxuVy8+eabjeqedtppKKXYs2dPs5/hUaNGtXn5p556Kps2beL9999vsc5pp51GdXU1kUik2eUOHTq0zcsFiEQifPPNN1gsFpKSkoDo58dsNjdKmsrKypodVa812rJ+92WxWDjuuOP44x//CNCh1/sSojuSFicheriTTz6ZPn36cPrppzNs2DA0TWPdunU88sgjJCQk8Mtf/rJdlqPX63nooYe46KKLOO2007j66qsJBAL86U9/oq6ujgcffDBW94EHHmDGjBkcf/zx/OpXv8JsNjNv3jy+/fZbXnzxxdjOw8iRIwH45z//SWJiIlarlf79+7epReLGG2/ktddeY+rUqdx0002MHj06diHKd999l1tuuYVJkyZx0kknMXXqVG677TY8Hg8TJkzg008/jSU9B1JdXc1///tfTj75ZGbPnt1snccee4xnnnmGBx54IDYMsc/na3GI6Y685k1KSgq/+93v+PWvf80ll1zCT3/6U6qrq7nnnnuwWq3cddddjeqbzWYeeeQR3G43Rx55JJ999hn3338/p556KscccwwAM2bMwGw289Of/pTbbrsNv9/Pk08+SW1tbbMxpKenc+2117Jr1y6GDBnC0qVL+de//sW1115L3759D/s1jho1iv/85z+89NJLDBgwAKvV2mgH+2c/+xl33nknH3/8Mb/97W9jXU8PZvz48aSmpvLuu+9y+eWXx8qnT5/OfffdF7vfmvgWLVrEk08+yfjx49Hr9a1qPTyY/v3785///Ifzzz+fsWPHxi6AC9ELSi9YsAClFGeddVab3wft7b777uOUU05hxowZ3HLLLUQiEf74xz/icDioqamJ1Tv66KP5xS9+weWXX86XX37J1KlTcTgclJaW8sknnzBq1CiuvfbaNi37xhtv5KWXXmL27NnccccdTJw4EZ/Px0cffcRpp53G8ccfzwUXXMDzzz/PzJkz+eUvf8nEiRMxmUwUFxfzwQcfMHv2bM4666yDLmvNmjWxIcjLy8tZsGABP/zwAzfddFOs6+Npp53GokWLmDNnDueeey67d+/mvvvuIzc3l82bN7fptTVo7fqdO3cuxcXFnHjiifTp04e6ujqeeOIJTCYTxx133CEtW4geK16jUgghOsdLL72kLrzwQjV48GCVkJCgTCaT6tu3r7r44ovVhg0bGtVtbjQspZof+rphlKw//elPjcoXL16sJk2apKxWq3I4HOrEE09Un376aZN5rlixQp1wwgnK4XAom82mjjrqKPXmm282qff444+r/v37K4PB0GhUrobhvPd36aWXNhmtzO12q9/+9rdq6NChymw2q+TkZDVq1Ch10003NRrKuK6uTl1xxRUqJSVF2e12NWPGDPXDDz8cdFS9xx9/XAFq8eLFLdb5+9//3miErgONqgeoUCjU4ryUan6b7K9hBLpXXnml2elPPfWUGj16dGydzJ49W3333XeN6lx66aXK4XCo9evXq2nTpimbzabS0tLUtddeq9xud6O6b775phozZoyyWq0qPz9f3XrrrbHRCvcdBa9h23344YdqwoQJymKxqNzcXPXrX/+6yevef923dlS9HTt2qJNOOkklJiYqoNkR7C677DJlNBobjSLZGmeddZYC1PPPPx8rCwaDyuFwKL1er2praxvVb25UvZqaGnXuueeqlJQUpdPpYvG39LlSqum6OJCtW7eqOXPmqEGDBimLxaJsNpsaPny4uvnmmxvFoVTb3gf7a27dt3ZUPaWUeuONN2LL7tu3r3rwwQebnadSSi1YsEBNmjQp9p0xcOBAdckll6gvv/wyVqct3wu1tbXql7/8perbt68ymUwqKytLzZo1S/3www+xOqFQSD388MOx93VCQoIaNmyYuvrqq9XmzZubLKe5dbPvLS0tTU2aNEktWLCgyWUHHnzwQVVYWKgsFosqKipS//rXv5pdFy199vv166cuvfTSRmWtWb9vvfWWOvXUU1V+fr4ym80qKytLzZw5s9ElJIQQUTql9ulTI4QQQvQCwWCQwsJCjjnmGF5++eV4hyOEEKIbkK56Qggheo3Kyko2btzI008/TXl5OXfccUe8QxJCCNFNSOIkhBCi11iyZAmXX345ubm5zJs376BDkAshhBANpKueEEIIIYQQQhyEDEcuhBBCCCGEEAchiZMQQgghhBBCHESvPMdJ0zRKSkpITExsdLE5IYQQQgghRO+ilMLlcpGXl4de33K7Uq9MnEpKSigoKIh3GEIIIYQQQoguYvfu3fTp06fF6b0ycUpMTASiKycpKSnO0XRfoVCId999l5NOOgmTyRTvcEQzZBt1bbJ9ujbZPl2fbKOuTbZP1ybbZy+n00lBQUEsR2hJr0ycGrrnJSUlSeJ0GEKhEHa7naSkpF7/geuqZBt1bbJ9ujbZPl2fbKOuTbZP1ybbp6mDncIjg0MIIYQQQgghxEFI4iSEEEIIIYQQByGJkxBCCCGEEEIchCROQgghhBBCCHEQkjgJIYQQQgghxEFI4iSEEEIIIYQQByGJkxBCCCGEEEIchCROQgghhBBCCHEQkjgJIYQQQgghxEFI4iSEEEIIIYQQByGJkxBCCCGEEEIchCROQgghhBBCCHEQkjgJIYQQQgghxEEY4x2AEKKX0DTYsgXq6yE5GQYNAr0cu2kX+67bxMRomcvVsetZtqcQQohD1U1/QyRxEkJ0vLVr4d//hu+/B78frFYoKoJLL4Vx4+IdXfe277qtqoreADIyoreOWM+yPYUQQhyqbvwbEvfU7uOPP+b0008nLy8PnU7H4sWLD/qcjz76iPHjx2O1WhkwYAB///vfOz5QIcShWbsW7r0X1qyBtDQYPDj6f82aaPnatfGOsPvad93qdFBdDV5v9FZVFS1r7/Us21MIIcSh6ua/IXFPnDweD2PGjOGvf/1rq+pv376dmTNncuyxx7J27Vp+/etfc8MNN/Daa691cKRCiDbTtOhRpaqq6NGkpCQwGKL/i4qi5c88E60n2mbfdTtsGOzZA4FAtJUpPT16v6QkOq291rNsTyGEEIeqB/yGxL2r3qmnnsqpp57a6vp///vf6du3L48//jgARUVFfPnllzz88MOcc845zT4nEAgQCARij51OJwChUIhQKHTowfdyDetO1mHXFfdttGVL9FZYCCZT0+mFhbB5M2zcGO3f3Msc1vbZd936fNHuDmlpe9dzWlq03Ottv/Xcy7Zn3D8/4qC6zTZSGmghUJGmN1MiGGzRemEv+PY0qaNTGqgIytEXrDnRusFadDWrm84PBUpDJY+EpKJo3UA1urK3Y9OiMSlAi/5PGYNKGx+br37Xf/apqxrVValHoLKOi9YN1aPf8mSTOhC9aYljAHN0+4S96L9/oGGF7Ltyon9TxqIKfhIt0sLov/1d07o/3lXJw1GFl8SK9V/fsc+y96ucOARt4C/21l1/J0QCzcaAYwDakBv21v3mtxByNhMzYOuDVnT73rrfzoVAtKu0TjWuq6xZaCPv2Vv3u3vR+fbQHGVKRRvz4N663z+IzrO9+boGO9q4x/bW3fgYOuf3zdfVG9HGz9tbd/Nf0dWsY2xgD7pVi9D2O78oMuFJ0Bmidbf+M/pea0HkiD/H3sO67f9GX7Wi+YpOJ5Gd3r2/IbZa8KXunR7H35DWfofolNpv68aRTqfj9ddf58wzz2yxztSpUxk3bhxPPPFErOz111/nvPPOw+v1Ymrmx/zuu+/mnnvuaVL+wgsvYLfb2yV2IYQQQnQtBhXApJwYCGEgiEEF0RPAoIIYCFFtGEZQlwJAcmQr2ZE1GAiiV8Hof0LoVQg9YbaYzqbOEN2Zywp/xdDQS+iIoCeMXoX33ifM1+ZrKDNOAiA3/BkTAw+1GONa8/+xyzTjx/muYXLgvhbrfmP+OdtMpwGQHvmOY/y/abHuBtPP2Gw+98fXtoVp/l+1WHej6Sf8YL4IgARtDyf6/q/FuluMZ/Cd5QoArFolJ/uuarHuDuNJfG2ZA4BJuZjpvbjFursNx/GV9SYA9CrE6d6ftFi3xHAUq613xB6f4TkbHc23UlQYxrLSenfs8UzPTzHha7Zutb6IT2wPxB6f7L0cq6pttm6dfgAf2R6NPZ7uvRqHKm+2rluXx3v2vUnLNO8vSVY7m63r06Xzrn1+7PGxvttJ0zY2WzdIAv9zPBd7PMU3l0xtfbN1Ixh5y/Fq7PFE/+/JjbScDL1hfw31Y+I03v8IfSItJEPAEvsLhHXR/emxgb/SL7y8xbpv2xYQ0KcBkB75lmrDyBbrdiav18uFF15IfX09SUlJLdaLe4tTW5WVlZGdnd2oLDs7m3A4TFVVFbm5uU2ec+edd3LzzTfHHjudTgoKCjjppJMOuHLEgYVCIZYtW8aMGTOaTVhF/MV9G23ZArfeCqmp0ab4/TmdUFsLf/pTj2ihaKvD2j77rlulYNUqMJv3tgQFgxAKwcSJ0ZGK2mM994LtGdEiRFSEiBYhEArw2YefMf7Y8ej0OjSloSmNiBaJ/lcRwlqYcCQcu9/wv6GupjSUUtEbCg0tenAeFZsGxKar2CH1aB0UoAMdumjdA9yHvY91Ol2jeQGNynQ/PqFh+Y3q7zOf2GOdroPWeDOUhinixRRxYdY8mCMeauxDiBiiO2YZrnXk1H+BUfNhDPswenwYLT6Mmh+D5mN14Z047QMA6F+xlBEl/25xUSsH3kNlYvSId2rVVoqKX2ix7p6C46hPGQyAudZN2s7md2YBTNl+9Gk/HsGvN0LzDQYA6LNBnx6tq1xmQtvtKJ0ehT76X6eHH+9Hsu2xuhGvg/pd/VE6Q6P6oEOhw5+eGYshEkigsngsCl1sOjpd7LEnpc/euiE7JcVTfpz+Y1w/1gcdzsRBsboq7GBnyQxoND+iy9DpqLEVQQ3oBuhAZ2VbyemNX/w+76s628DYfHXKyNaSMxtV3TtvcNn67l2/wJaSs1pcvx5LXmydAWwtOwuDCjWZJ4DPnNmo7raK2Rgi/qYz1ekIGFPRZ+xTt3I2pog79vr3qUzQmNCo7o7q0zGH65qNN6y3o8/cW3dnzSmUhyY2W1fTmdFn7a27q3YGVcGxzdZVOn2junvqTqDWNwxqgDTQ6RuvC12WAZ0uWr+kfipO/4Bm5wtApgX9jy1WZc6j8fjym6/ncqK9Og+9PRlsNurMLnJ8X3NEJDM6PY6/IQ290Q6m2yVO0PQLfN8v/uZYLBYsFkuTcpPJJDv87UDWY9cXt200dGj0y2/Nmmj/5X0/o0rBjh0wYUK0XjcYhrSjHNL22XfdDhsWHZWoqgpSUqLrtq4OsrLAbocffmif9dxNt6emNEKREMFIkJAWIhQJ7f0fCeGL+PCH/QTCgWjy82Ni1NB1Y03pGpShmSQG0Ov06HV6dDrd3vvoYmU6nQ6DzhC9jy5WD2jxcUNS06nJSkfSwhhDdZiCVZiCNRhDNZiCVVTlnkXElAxAZvFLZBe/gCHswhB2oduvW9T3RzyDNym6M5btXE6fqiWNl+HdezfPZiExJVo3wZOLpjOi9Ba0hpvBgtKb0fRWUpP6YE6O1rXojqAyctaP0/bWV3oTSm/CljaJfFu0rsl6AlsS8lB6I0r3401vit3XW3PJM0UPLuiSTmNd7gnQkODoDPBjooPOADodeQ3Bp+SxvuDApy/sW3dL3jGtq0seu7KfanXd0sw/t7IuVGU80GI9LaJBTQm5KbnoDXpq0+5q9XzrUn/b6rrOlDtbXdeTcnOL9fav60u5rtV1gym/INjKuuGUywi3sq6WcvG+b+8D1iXlp22o+xM8EY2Sr0rIG5KH3qA/QN2zWmiji8ppVDev5bpKI/ujR+H7H6B/IRURG/pICFM4HPffkNb+Bne7xCknJ4eysrJGZRUVFRiNRtLT0+MUlRCiWXp9dHjRnTujw4726RPdkfd6obg4OpDBJZd0qZ3sbmPfdfvDD5CfHz1a1zAcud0OeXnRae21nrvw9gxr4Vjy4w/7CUQCeENe3EE3/rA/liw1tAbtmwQZ9UYMOgMGvQGDzoDZYMaoN4IRqqgiNzEXg9HQ6a+pO9BFApgDFZgC5ZgDZdRlTEMzJgCQtfs5cnYtxBiqb5IIAbhSJuL9MXHSa34s/sbnfET0NiKmJMLGRPY9v8SdPIbSflcSMdgI6+zU7A6QODAPZUpAM9jxOfrH6lblnUNV/rmtei2e5LF4kse2qm7ImkO9NefgFQGlNxMxm1tVV4iDUUoR1sKEtOjBoLAWbnSLaBHCqpmy/eo1tJZXVVeR8H0CESIHrR9rZW9umfuWqb0HoBpa8WMt9pl+IjYXmvqWkEEHOijecgaJu8q7xT5Bt0ucJk+ezJtvvtmo7N1332XChAnS6iFEVzRuHMydu/eaDSUl0daRCROiX5Bd/JoNXdr+6zYjo/F1nJRq//Uc5+2plMIX9uENefGFfHhCHup8dXhCHoKRIMFIMNbFzaDfmwRZDBYcJkc0SdK3LgnSItFzJnpMy8+hUirWuphU/Qlp5W9j9e3G7C/DFKpuVDXaMjQ89tgUqovOAj1hcyohUzohcxphcxpaw4AIQE3WybiTxxIxJhE2JRExJqH0zf+m75vgaBGNkrIS8jKaHjEHGreKCtFGmtIIRoIEwoHo/0ig8f1IgGA4SFALEopED8zs37LdkNw02+q9T8t3UAsSjuxNiJq0ju/zv93tbv9ZHtB+H+1wbU232SeIe+LkdrvZsmVL7PH27dtZt24daWlp9O3blzvvvJM9e/bwzDPPAHDNNdfw17/+lZtvvpmrrrqKlStXMn/+fF588cV4vQQhxMGMGwdjxnTLq4R3efuv28TEaLnL1XHruRO3ZygSwh104w66qQ/UU+OrwReKdq1TKHTosBqtmA1mkixJmA3mWNc30QZKYQxWY/NswebZ+uP/bVh8u9k0Zh6+xGEAWL07Sa94u9FTNb2FoCWHoDXnx3NsomqyTsGZehRhcxphU3JshK7mhKw5hFrZgiN6r4gWwR/24w/78YV9sfv+sD/2vdBQ3pDkBCKB2EEVf9gfu7/vtH0Ton3rdUiS0gvo0MVa8A16A3qdHoPOEOvObNQb0ev0qHAIEwZ46I8wfHy32CeIe+L05Zdfcvzxx8ceNwzicOmll7Jw4UJKS0vZtWtXbHr//v1ZunQpN910E3/729/Iy8vjz3/+c4tDkQshugi9HoYMiXcUPVM81m0HLTOiRXAFXbgCLqp91VR7q/GFfIS1MHqdHpvJhsPkIM2WJgnSoVKRaCuSProLkFa2hIItj2IM1zdb3erbHUucXKlHUjzgegK2AgLWPILWHCLG5GZbdsKWDMKWjI57HaLLimgRfGEfLr+L3f7d1FTU4NN8eINePCEP3pA3dmsxCYrsTYYa6gQjBzqLqGcw6AyYDCZMelOsxdxsMGPSmzAa9t43GUwY9cZoud4Y63LccH/fm0HffLkePe7dbjIKMzAZTc3WOZR5t/a7ucJTQYY9g9T8Izt4rbafuCdO06ZN40Ajoi9cuLBJ2XHHHcdXX33VgVEJIYToLMFIkDp/HbW+WsrcZbiDboKRICa9CbvJTqYjM3rOkWg7pTD79+BwfofDtQG7awN21w9sH34f9RnTAIgYEzGG61HoCdgK8DkGxm5+eyEBW0Fsdr6EIfgS5ABIT6UpDU/QEz148eMBDHfQHbvvCrpiCY8n5MEb3Of+PuX+8H4j0f0Qn9fTWia9CYvRgsVgwWwwYzH++N/wY5lxn/v7TTcbzNFk5sdkp6Wkx2RoOq3hfkN5W7oStwctolHiLSFvcAtdXUUT8kskhBCi0wUjQWp9tVR6Kyl3l+MORofxtZvspNnSMBvkZPrDYfVsJ3fnUyTUfYU5WNlkut31QyxxcqUcwYbxz+O3F6IMTUegFd1LRIvgDDipD9RT56+jzl/XKPFxB92x+66gC3fAHbvvCXoaDUsfTwadAZvJhtVoxWZs/N9qsjZfvt/NYrA0SXKaS5Ck9Vq0liROQgghOoWmNOr8dVR4KihxleAKuEAHiaZEchNyO/VIa09iClSSVLOSgDUPd+oEIHp9mrSKdwDQdEZ8CUPwJI7AmzgcT9Jw/PbC2PM1YwK+xKHxCF0cRMNnpsZXQ52/jvpAPfX++mbvN/x3BVydnvwYdAYcZgcOkwO7yR77bzfZwQkZORmNpjfUsZls0dt+CZDNZJNWZtElybtSCCFEhwqEA1R6K9nt3E21p5qwCpNolmTpkGlhEpxfk1z9GUk1K7F7NgFQkzk9ljgF7P3Y0///cCeNwpM0EmWwxjNisY+wFo4lQzW+Gqp91Xvve6sbldX6a6PD53cgo95IkiWJBHMCiebE6M2SuPexJVqWYE6I3fZNfuwmO2aDudnRJ7WG6wQdIV3BRM8giZMQQogO4Q66KXOVsbN+J66gC7PeTLo9XbrhHSoVod/GP5BS9WGjgRwUOryJw/EmjthbV6ejrN/lcQiy91JK4Qw4qfRWUuGpoMJT0fi+p5JKbyV1/roOaRFKMCeQYk0h2ZJMsjWZFEsKydbk2ON9k6B9kyOLwSJD7gvRSpI4CSGEaFf1/nqKncUUu4rxBD0kW5LJT8yX8wjaSKeFsLt+wJM86scCA1bPVozhekKmFJxpk6lPOxpX6iTC5tT4BtsLeENeSl2llLqjtxJXSSwhqvBG/wcigXZZllFvJM2WFrul29JjSVGKNaVxgmRNIcmSJF3bhOgE8ikTQgjRLlwBF7vqd7HbuRtfyEeaLY2MZBmOuq1s7s2kl71BWvn/MITdrJ+yjIgpen2ukv7XonQG3CnjDnhdJNF23pCXPc49lLhLYglSiauEMncZJa4S6gPND9feWgadgQx7Bun2dNJt6Y2Sov3vJ1mSpBVIiC5IEichhBCHJRAOsKt+F9vrtuMJekizpZFpz4x3WN2KIVRPWvnbpJe9icO9d+zmkDkdi28XXlO0G54rbVK8QuwRPEEPxa5idtfvZrdzN7vqd1HsLGZX/S6qfdWHPF+HyUG2I5tMRyZZjiwy7T/+d2SSZY/+l2uPCdH9SeIkhBDikGhKo8xdxubqzVT7qkmxpNA3uW+8w+p2kqs+YsCGX6PXot28NJ2R+vSpVOWegTP1qNiFakXrRLQIpe5SttVuY1vtNnbW74wlSoeSHOl1erIcWeQm5EZviXv/ZzuyyXJkRUePE0L0ePJtLIQQos2cASdba7ayq34XFoOFgqQCOZreWiqCMVhL2BLtxuhJHAEqgtcxmKrc2dRknULEnBLfGLuBsBZmd/1u1tStoW5dHTvqd7Ctbhs763a2+VyjdFs6fZL6UJBUQF5i3t7kKCGX7IRsOX9ICAFI4iSEEKINIlqE3c7dbK7ejCfoIcuRhcUoF01tFS1MevlScnYtJGjJYfPYeQCELRlsOPJlArYCkPNamuUMONlUvanRbXvddkJaKFphx8HnkW5LpyCpgILkguj/H+/3SepDgjmhQ+MXQvQMkjgJIYRoFWfAycaqjRQ7i0myJFGQXBDvkLoFXSRARulisnc/iyVQBoAxVIchVEfElAJAwC5dHCE6pHepu5RN1ZvYWL0xliSVuktb9XyDzkBBcgH9U/ozIHUA/VP6U5hSSEFSAQ6zo4OjF0L0dJI4CSGEOCClFHtce/ih8gc8IQ+5CbmYDKZ4h9X1aWHSy98ib8e/MAfKAQiZ0ikvuIjKvHPQjLIjX++v57vK7/i24lu+q/yO7yq/o85fd9DnGXQG+iX3o39KfzJ8GYwuGs3A9IH0Te4r1wkTQnQYSZyEEEK0KBgJsrl6M1tqtmA32emT1CfeIXUbaRVvU7jxfgCClmzK+l5GVc4ZKEPv7NoY1sL8UPVDLEn6tuJbdjt3H/R5dpOdwWmDGZI+hKHpQxmSPoQBqQOwGq1oEY2Sr0rIG5CH3iDn2AkhOpYkTkIIIZrlCXrYULmB3c7dZNmzsJls8Q6py9NF/CiDFYDarJPJ3PMqtVnTqcz7Sa9LmPxhP99WfMvasrWsLVvL+vL1+MP+Az4n2ZLMiMwRDM0YytD06C0/SS6eLIToGiRxEkII0UStr5ZvK76l2ldNfmK+jCp2EMZgDfnb/obDuZ7vJ7yA0ptQehMbj3i61wz44A66WVe2LpYobajcQFgLt1jfbDAzLH0YI7JGMCJzBCOzRpKfmC8XfhVCdFnySyiEEKKRCk8F35R/gzfkJT9RjvYfkIqQuedV8rY/iTHiBiCp5nPqM46NTu/BSUBYC/Nd5XesKl7Fqj2r+LbiWyIq0mL9bEc243LGMSZnDCMzRzIobZCcKyeE6FYkcRJCCBFT4irhm/JviGgR8hLz4h1Ol2b1bKffxvtIcK4HwJswlF2Db8WTPDa+gXWgYmcxn+3+jFV7VvFlyZd4Qp4W6/ZN7su4nHGMyxnHEblHkJuQK61JQohuTRInIYQQQHSneH35egw6A9kJ2fEOp+tSEXJ2LSR3x1PoVYiIwcGeAddRmXc26Azxjq5dhbUw68vXs2LXClbsWsGOuh0t1u2b3JdJ+ZMYnzuesTljybBndF6gQgjRCSRxEkIIQbGzmK/LvsZsMJNmS4t3OF2cnsTaL9GrEPVpR7NzyJ2ErDnxDqrduAIuPt39KZ/s+oTPij/DGXA2Wy/FmsLE/IlMyp/EpPxJ5CT0nHUghBDNkcRJCCF6uT3OPawvX4/FYCHVlhrvcLompUBFQG8EnY6dQ39DgvMbarJO6RHnMTkDTj7c8SHvbX+PVXtWNTuog16nZ3TWaI7pewxH9TmKIelD5Pw3IUSvIomTEEL0YqWuUtaXr8ekN0nS1AJjqI7+m39P0JrN7sG3ARC09aHG1r2vaVXnr+OjnR/x3rZostTcwA4Ok4MpBVM4tu+xTCmYQoo1pfMDFUKILkISJyGE6KUqPZWsr1iPXqeX7nktSItsYMRXj2EOVqLpzJQXXEzQmhvvsA6ZP+zno50fsWTzElYVN58sZTmyOKHwBKYVTmNszlgZil4I0S40pRGMBAlGgoS1MN6QN94htZl8GwohRC9U569jffl6wpGwnJvSHKXIKnmZAv9j6Ingsxeyvej33TJp0pTG12Vfs2TzEpZtW9bsSHg5CTmc2P9ETux/IiOzRkoXPCHEYQuEA/jCPvxhPyEthA4dZoMZs8GM1WglyZpEpj0z3mG2iSROQgjRy3iCHr4p/wZPyEN+Yn68w+lydBE//TY9QHr5EgCqM09i17DfoRlscY6sbYqdxSzZvISlm5eyx7WnyfSchBxmDJjBif1PZETmCBkqXAhxWPxhP56gB1/Yh0Jh0puwm+zkJ+WTak3FbrJjM9mwGq3dtiW7e0YthBDikAQjQb6t+JZqX7UkTc1RisHf/JLEujUoDHxrvhT/0KvRG7rHMONhLczHOz/mte9fY9WeVU2m2012Tux/IrMGz+KI3COkZUkIcciUUnhDXlxBF8FIEIvRQqI5kb4pfUmyJJFgTsBhcmDQd4/vz9aQxEkIIXqJiBbhh6of2OPaQ35ivuw0N0enoyL/fKyebWwd9nu2bcsjrxu0xJS5y3j9h9f578b/UuWtajRNr9MzKX8SswbPYlrhNKxGa5yiFEJ0d5rSoslSwEVIC2E328lOyCbLkUWKNYUEc0KP/m2RxEkIIXqJ7bXb2VazjWxHdrftJtFRdBE/yhBNKOoyT8CZOpGwzg6UxDewA1BK8VXZV7z4zYt8vOtjNKU1mp6fmM9Zw85i1uBZZDq613kEQoiuQ1Ma7qAbV9CFpjQcJgf5SfmxZMlhdsQ7xE4jv5xCCNELlLpK+aHqB1JtqdLisJ+MkkXk7pzPxnFPxQZ/0IwJENEO8sz4CEVCvLvtXV745gU2Vm9sNM2gMzC131TOKTqHifkTe/SRXyFExwlrYdxBN+6QGxQkmBPon9KfDHtGr/4dkcRJCCF6uHp/PRsqN2AymEgwJ8Q7nK5DKfK2P0nurgUApJe+QWn/q+McVMtcARevbHiFlze83KQ7XqY9k3OKzmH20NnSuiSEaDOlFL6wD1fARSASwKg34jA7GJQ6iHR7OqnWVCxGS7zDjDtJnIQQogcLRoJsqNqAO+imT1L3vmBru1IaBVseIWvPSwCUFP6C0n5XxTmo5tX4anjhmxd4ZcMrTYYSL8oo4sJRFzK9/3RMBlOcIhRCdGfl7nJChLCb7GQ4MshyZJFkSSLJkiTduvcja0MIIXoopRSbqzdT6iqlT6IkTTEqQt9ND5BZuhiAnYPvoCr/3PjG1IxydznPffMci75fRCASiJXrdXqO63ccF426iDHZY2QYcSFEm/jDfpwBJ76ADwMGMh2Z5CXnkWpLlV4JByGJkxBC9FAlrhK21m4ly57Vo4aDPSxamMKN95Be/j8UenYMm0tNzmnxjqqRCk8FT331FG9seoOwFo6Vm/QmThtyGpeOuVRaD4UQbRKKhHAGnHhCHswGM+m2dIalDWP91vUckXsEJpO0WLeGJE5CCNEDuQIufqj6AYvBgs3UvS7c2pH0mh+bZysKA9uH30dt1knxDimmzl/HwnULeXnDywQjwVi5xWDh7KKzuXj0xWQ5suIYoRCiO/GH/bgCLnxhHya9iSRrEgPTBpJuTyfZkkw4HGY96+MdZrciiZMQQvQwES3CpupNOANOCpIK4h1Ol6IZE9g8+m/Y3T/gTJsc73AAcAfdPP/N87zwzQuNzmFymBycN+I8Lhx5Iam21DhGKIToDjSl4Ql6cAfdhLQQVqOVZGsyQxOGkmxNJtmSLL0PDpMkTkII0cPsdu5md/1uchNy5fwXAKVwONfjSR4DQNic2iWSprAW5tUNr/Kvr/5FfaA+Vm4xWDhvxHlcOuZSUqwp8QtQCNHlhSIh3EE3npAHpRQJ5gT6JPchw55BsiWZBHOC/A60I0mchBCiB6n317OpehOJlkQZZQ1AKfK3/Zmc3c+ya9CvqOxzQbwjAuDT3Z/y2OePsaNuR6zMoDNw5rAzuXLcldIlTwjRIm/Iizvoxh/2Y9KbSLQkMjR5KKnWVFKsKTJseAeSxEkIIXqIhi56vpBPBg/4Uc7O+eTsfhYATR//CzZur93OY6se47PdnzUqP2XgKVw9/moKkqVrpRCiKW/IizPgJBAJYDfZSbWlkpOQQ7IlmSRLknTB6ySSOAkhRA9R7Cxmj3MPOQk58Q6lS8jY8yr5O/4OwO6BN1Gdd2bcYnEH3fxjzT94+buXiahIrHx09mhumXwLIzJHxC02IUTXtH+ylOXIIichh1RbKg6TQ7rgxYEkTkII0QO4Ai42VW8iwZwgXfSApOpP6bv5IQBK+l1FRcFFcYlDKcV729/j4ZUPU+WtipVnO7K5fuL1nDzwZNn5EULE+EI+6gP1BCPBJsmSXGMp/iRxEkKIbk4pxdbarXhCHhlFD7C5NzFgw53o0KjKOZ3Swl/EJY4SVwkPffoQn+z+JFZmMVi4bOxlXDz6YqzG+HcdFELEX1gLU++vxxPyYDVayXRkkpuQK8lSFySJkxBCdHNl7jJ21e8i054Z71C6hOTqTzFEvDhTjmTXkF9DJ7fohLUwL377Iv9Y8w/8YX+s/Ni+x3LblNvITczt1HiEEF2TL+Sj1l+LpjRSrCkMTh9Muj2dRHOitER3UZI4CSFENxYIB9hSswWjzigtGD8q63c5QUs29enHovSd221xS80W7vrwLjZWb4yVZdozuXXKrRxfeLzsDAnRy0W0CM6AE1fQhcVoIS8xj/ykfDLsGRj1slve1ckWEkKIbmx3/W4qvBX0Teob71DiS2nR2487HjU5Mzt18REtwrPrn+Ufa/5BSAsBoEPHeSPO49oJ10p3GyF6uX1bl5IsSYzMGkmWI4skS5IcUOlGJHESQohuqt5fz9a6raRZ09Dr9PEOJ65yd84noW4N24c/QNic2qnL3l2/m7s+uov15etjZQNSBzB36lxGZo3s1FiEEF2HUgpX0EWdvy7WupSXmEeGPUMG8emmJHESQohuSCnFttpt+II+MpIz4h1OXCVVf0Lujn+iQ5FYu4ra7FM6Zbma0nh1w6v8+Ys/x85l0qHj4tEXc82EazAbzJ0ShxCia1FKUR+opz5QT6I5kaLMInITcqV1qQeQxEkIIbqhCk8Fxc5iMh29e0AIi3c3/Tf8Fh2KirxzOy1pqvPXcdeHd/Hp7k9jZX2S+nD3cXczNmdsp8QghOhaIlqEOn8d7pCbZEsyo7NGk5uYi8PsiHdoop1I4iSEEN1MKBJia+1W9Dp9rx4QQh/2MvC7X2GMuHEnjaZ40C2dsty1pWv5zQe/ocJTESv7yfCfcP3E67Gb7J0SgxCi6/CH/dT4amKj4w3JGEK2IxubyRbv0EQ7k8RJCCG6mRJXCeXucvIS8+IdSvwoRb9Nv8fm2UrInM62EX/s8BH0NKXx9Lqn+ceaf6ApDYBUayr3TruXyQWTO3TZQoiuxxVwUReow6Q3xUbHS7ely/lLPZgkTkII0Y34Qj621m4lwZzQq4euTS97g7SKd1A6A1uH/5GQpWO7LFZ7q5n74VxW7VkVK5uQO4H7T7ifDHvvPsdMiN5k3/OXEswJDEkbQl5SHsmWZDl/qRfovb+6QgjRDe127qbOX9frhx/3JgzDb+tHVe7peFLGduiyvi7/mjvev4NqXzUQHQDiqiOu4spxV2LQGzp02UKIrkFTGnX+OlxBl5y/1ItJ4iSEEN2EO+hmR90OUq2pvf7Ipi9xKN9PeA5Nb+nQ5bxT9Q7/Wv8vwloYgHRbOr8/4fdMyJvQocsVQnQNYS1Mnb8Ob8hLqjWVcTnjyEnIkfOXeilJnIQQopvYVbcLT9BD3+Te29pk8pcTsmYDoBk6bsclGAnyp0//xOvFr8fKJuRO4Pcn/J50e3qHLVcI0TWEIiGqfdWEtBDptnSKMovISciRywz0cpI4CSFEN+AMONnt3E2aLS3eocRNctXHDPjudvYM+D8qCn7WYcup8lZx2/LbGl3Q9sKRF3LDpBt69XllQvQGgXCAal81mtLIcmTRL6UfWY4s+ewLQBInIYToForri/GGvL12IAJjoIrCH+5Br0KYAxUHf8Ih2lKzhRvfuZEydxkAJp2J3xz7G04belqHLVMIEX+eoIdafy0GnYGchBz6Jvclw54h5zGKRiRxEkKILs4VcLHb1Ytbm5Si36YHMIbr8TqGsGfAdR2ymM+LP+f25bfjCXkAyHJkcVv+bUwdNLVDlieEiC9NaTgDTpwBJzaTjcKUQvok9SHNltbrzyMVzZPESQghurg9rj14g14ykntna1NaxdukVH+EpjOyo+gelL79zzF4/YfXefCTB4moCABFGUU8Mv0Rgj8E231ZQoj4Cmthan21eMNeki3JjMgaQU5CDkmWpHiHJro4SZyEEKIL8wQ97K7fTYo1Jd6hxIUxUEXB5j8BUNrv5/gSBrfr/JVS/G3131j49cJY2bR+07jv+Puw6C2UUNKuyxNCxE9YC1Pt3Tvgw/Cs4WQ5srAarfEOTXQTkjgJIUQXVuoqxRV09c7rNilFv02/xxh24kkYRlnfy9p19mEtzB9W/IE3Nr0RK/vZqJ9x/cTrMegNaBGtXZcnhIiPfRMmGfBBHA55xwghRBflD/vZWb+zF1+RXuFOPoLEuq/YMexuaMednEA4wG/e/w0f7vwQiF7U9tYpt3LeiPPabRlCiPgKRoLU+GoIa2EyHZkUphSS7ciWAR/EIZPESQghuqhydznOgJM+SX3iHUp86PSU972Yyryz0IwJ7TZbd9DNze/ezFelXwFg1Bu5b9p9zBg4o92WIYSIH3/YT42vBoUi25FN3+S+ZDmyJGESh00SJyGE6IJCkRA76nZgN9nR6/TxDqfzqQjoojs57Zk01fnr+L+l/8fG6o0A2Iw2Hj7pYSblT2q3ZQgh4iMUCVHprQQgLzGPvsl9Sben987vUNEhJHESQoguqNJbSa2/lryEvHiH0umSqj+hz9Y/s3PIr/GkjG23+db4arh2ybVsrd0KQIo1hSdOeYIRmSPabRlCiM6nKY1qbzWBSIDcxFz6p/Qnw57RS7s4i44kiZMQQnQxmtLYVb8Lk97U67qW6CJ++m5+CIu/hJSqD9stcaryVnHtkmvZXrcdgEx7Jk/OepLClMJ2mb8QIj6cASe1/lrSbemMzhkt5zCJDiWJkxBCdDHV3moqPBVk2jPjHUqny935FBZ/CUFLNqWFv2iXeZa7y7l2ybXscu4CINuRzd9n/Z2C5IJ2mb8QovP5w34qPZXYzDZGZ42mILkAi9ES77BEDyeJkxBCdDF7XHtQKMyG9r/Qa1dmdW8hZ/ezAOwafBua0X7Y8yx3l3P1kqspdhYDkJeQx5OzniQ/Kf+w5y2E6HxhLUyVt4qIilCYWsiA1AFy4VrRaSRxEkKILsQZcFLmLiPNmhbvUDqX0ui7+UF0KkJd+nHUZxx32LOs9lZz7dJrY0lTn6Q+/H3W38lJyDnseQshOpdSihpfDZ6Qh5yEHAakDiDLkSXnMYlOJYmTEEJ0IeXucnwhX6/rppde9iaJ9euI6G3sGnzrYc+vzl/HnKVz2FUf7Z7XJ6kP/zztn2Q5sg573kKIzuUKuKjx15BiTWF85njyEvPk4rUiLuRdJ4QQXUQgHGBX/a5e2e0kufpTAEr6X03IengtQu6gm+v/d31s9LychByenPmkJE1CdDOeoIdqXzV2s50RmSPom9wXm8kW77BELyaJkxBCdBGV3spee8HbbSP+SHL1RzjTjj6s+XhDXm54+wa+r/oegAx7Bk/OfJLcxNz2CFMI0QncQTe1/lqsRitD0odQkFzQKw8oia5HEichhOgCNKWxu343FoOld16sUaejPmPaYc0iFAlx+/LbWV++Hohep2nezHkyep4Q3YCmNJwBJ/WBehxmB4PTBtMnqQ/J1uR4hyZEjCROQgjRBdT4aqjyVpFhz4h3KJ0qvfS/1GaeiGZMOKz5aErj3o/vZWXxSgASzAn8bebfGJA6oD3CFEJ0EE1psUEfki3JjM4aTU5iDgnmw/tOEKIjSOIkhBBdQKmrFE1pvWoI8sSaVRRuvI+87X/n20mvowzWQ57XX774C//b8j8AzAYzj530GEPTh7ZXqEKIdqaUos5fhzPoJN2WzrCMYeQk5Mi1mESXJomTEELEmTfopdRdSoo1Jd6hdB4tTMGWRwCozTzxsJKm5795nmfXR6//pNfp+cMJf2Bc7rh2CVMI0f58IR+V3kqSLEmMzR5Ln+Q+veqgkei+ukRH+nnz5tG/f3+sVivjx49nxYoVB6z//PPPM2bMGOx2O7m5uVx++eVUV1d3UrRCCNG+qnxVuINuHCZHvEPpNJmli7B5txE2JlNa+ItDns87W9/hsc8fiz2+/ejbmVY4rR0iFEK0t4gWocxdRp2/jkFpgziqz1EMSBsgSZPoNuKeOL300kvceOON/OY3v2Ht2rUce+yxnHrqqezatavZ+p988gmXXHIJV155Jd999x2vvPIKq1ev5uc//3knRy6EEO1jj3MPDpOj11zIUR92k7vjnwCU9L+GiOnQRsv6uvxr7v7w7tjjq464inOKzmmPEIUQ7cwVcFHsKibFmsLEPhMZmTUSh7n3HCwSPUPcu+o9+uijXHnllbHE5/HHH+edd97hySef5IEHHmhS//PPP6ewsJAbbrgBgP79+3P11Vfz0EMPtbiMQCBAIBCIPXY6nQCEQiFCoVB7vpxepWHdyTrsumQbdW0N26XWU0tWUhZaRItzRJ0jZ+ezmEJ1+Gz9KM+eDYfwuve49vCrd39FSIuuw9lDZvPzMT9v13XYMK/esl26I9lGXVvDdimpK8FkMjE8bTgFyQWYDWbC4XCcoxOyj7BXa9eBTimlOjiWFgWDQex2O6+88gpnnXVWrPyXv/wl69at46OPPmrynM8++4zjjz+e119/nVNPPZWKigrOO+88ioqK+Pvf/97scu6++27uueeeJuUvvPACdru9/V6QEEKIA7JotUz3XYsRP19YbqfUOLnN8/BEPNyx+Q52+3cDMDphNHMHzsWoi/uxQCGEEN2Q1+vlwgsvpL6+nqSklntBxPVXpqqqikgkQnZ2dqPy7OxsysrKmn3OlClTeP755zn//PPx+/2Ew2HOOOMM/vKXv7S4nDvvvJObb7459tjpdFJQUMBJJ510wJUjDiwUCrFs2TJmzJiByWSKdziiGbKNujan18knH35CUlESCbbeMfSuMWimdsd0rL5d6EafTV4buyeGtTA3L7s5ljT1S+7Ho6c92iEXx9QiGmVfl5EzJge9Ie4920UzZBt1Te5A9AK2KaYUXD+4OHH6iVjMMlpeVyP7CHs19EY7mC5xeG7/fv1KqRb7+m/YsIEbbriBuXPncvLJJ1NaWsqtt97KNddcw/z585t9jsViwWJp+oE1mUy9/o3SHmQ9dn2yjbqm+lA9AAm2hF6z06fZsthVdDc6LYReb2jz8x///HE+3/M5AMmWZB4/+XFS7CntHGVjeoO+12yf7kq2UdcQioQo95RjNVoZkTOCfEc+7/3wHhazRX6DujDZR6DVrz+uiVNGRgYGg6FJ61JFRUWTVqgGDzzwAEcffTS33norAKNHj8bhcHDsscdy//33k5ub2+FxCyHE4dKURrGzON5hxI3St/1H+r8b/8vLG14GwKg38qcZf6IguaC9QxNCHII6fx2ugIv8pHwGpw8mxZoi586IHieuh2fMZjPjx49n2bJljcqXLVvGlClTmn2O1+tFr28ctsEQPWoZx9O1hBCiTWp9tdT56+IdRqexu75nwLe3YfHuOKTnf1vxLQ9+8mDs8a+P+TVH5B7RTtEJIQ5VKBKi2FmMpjTG5Y7jiNwjetc16USvEveuejfffDMXX3wxEyZMYPLkyfzzn/9k165dXHPNNUD0/KQ9e/bwzDPPAHD66adz1VVX8eSTT8a66t14441MnDiRvLy8eL4UIYRotXJ3OZqmoaN3DEGev+2vJNWuQjNY2VF0b5ueW+2t5rblt8VG0Dtv+HmcMfSMjghTCNEGDa1MfZL6MCRjSIecayhEVxL3xOn888+nurqae++9l9LSUkaOHMnSpUvp168fAKWlpY2u6XTZZZfhcrn461//yi233EJKSgonnHACf/zjH+P1EoQQok0C4QCl7lISLYm4ccc7nA6XULcmmjTpjJQUXt2m54a1MHe+dycVngoAxmaP5ebJNx/kWUKIjhSMBKnwVGAz2RibO5aCpAIMh3DOohDdTdwTJ4A5c+YwZ86cZqctXLiwSdn111/P9ddf38FRCSFEx6j2VeMKuMh15PaKxCnvx4vdVuWeSdCW36bnPrHqCb4q+wqATHsmD05/EKO+S/x0CdHraEqjxleDP+ynT1IfBqUNItmaHO+whOg08usjhBCdrMxVhlFvRK/r+aOAJdR+SWLdGjSdkbK+l7Xpue9ufZcXv30RiA4G8dD0h8iwZ3RAlEKIg6nz11EfqCfdls7IrJHkJub2iu8wIfYliZMQQnQid9BNhbei1xyl3be1KWTNafXzdtXv4vcrfh97fNuU2xiVPard4xNCHFggHKDCW4HD5GBM9hj6JPXBYpRrMoneSRInIYToRNXearwhL5n2TLSIFu9wOlRC7Zck1n+FpjO1qbUpEA5wx3t34Al5AJg5aCZnDTurg6IUQrSk1leLJ+ShMKWQgakDSbQkxjskIeJKEichhOgkmtLY49qD3WiPdyidwps4nOIB12EIe9vU2vTY54+xqXoTAIUphdxxzB0tXhRdCNH+wlqYMk8ZdqOdcbnj6JPUR7rlCYEkTkII0Wnq/fXUeGtIt6fHO5ROoRntlLfxvKZlW5fx6vevAmAxWHjwxAexm3pHoilEV+AOuqn2VZOXmMewjGFyTSYh9iGJkxBCdJIqbxUhLYTZYI53KB2r4WLkbWwl2l2/m/tX3B97fOuUWxmUNqg9IxNCtEBTWmzY/5FZI+mf0h+TwRTnqIToWqTdVQghOkFYC7PHuYdEc88/RyChbg1Fay4iuWpFq58T1sL89oPfxs5rOnXQqcweOrujQhRC7CMYCbLbuZskSxIT8ycyJH2IJE1CNEMSJyGE6AQ1vhrqA/W94uTq3F1PY3dvIqnms1Y/Z/7a+XxX+R0ABUkF3HnMnXJekxCdwBvyUuYuo39KfybkTSDTkRnvkITosqSrnhBCdIIKTwXo6PEXb7W7viepdhUKA+UFF7fqOV+Xf838tfMBMOgM3Hf8fXJekxCdoN5fjyvooiiziMFpgzHoDfEOSYgurWf/ggshRBfgD/spc5WRZE6KdygdLmfn0wDUZJ9M0JZ30PruoJu5H8xFU9Gh2a864ipGZo3s0BiFENFzLsNamFFZo+if2l9aeIVoBemqJ4QQHazGV4Mr6CLBnBDvUDqUxbODlKoPACjre2mrnvPIykfY49oDwOjs0Vw29rKOCk8IAUS0CCWuEvQ6PeNyxzEgbYAkTUK0krQ4CSFEByt1lWLSm3r8dVBydv8bHYq69OPwOwYetP7ybct5c9ObADhMDu6bdl+P78ooRDz5w37KPeVkO7IZnjmcVFtqvEMSoluRXyghhOhA7qCbKm8VydbkeIfSoUz+ctLLlwJQ1oprN9X4anjw0wdjj2+dciv5SfkdFZ4QvZpSimpfNf6wn8FpgxmcPhir0RrvsITodiRxEkKIDlTjq8ET8pBhz4h3KB0qZMlk6/A/klS3Gk/yqIPW/+Onf6TOXwfA8YXHM2vwrA6OUIjeyRfyUeGtINWaysiskeQl5knXPCEOkSROQgjRQZRSlDhLsBlt8Q6l4+n01GdOoz5z2kGrLtu6jPe2vwdAsiVZhh4XogM0XNBWKcXgtMEMTBsoo1UKcZgkcRJCiA7iDDip9lWTYk2JdygdSyloZeJT46vhj5/9Mfb49qNvJ82W1lGRCdErNZzLlGXPYnD6YLIcWXJwQoh2IImTEEJ0kBpfDcFIsEefS6CL+Bn21eXUZk2nvM9FKMOBX+u+XfRO6H8CMwbM6IQoheg96vx1uINuhqYPZVDaICxGS7xDEqLH6NlDPAkhRJxoSmOPc0+P7xqTVv42ds9mMkpeR+kOfCxu/y56t0+5XY6CC9FOlFKUucsIaSHG5Y5jeOZwSZqEaGfS4iSEEB2g3l9Pnb+OdHt6vEPpOEqRXfw8ABV9LoADDCVe56/joc8eij2+/ejbe/a6EaIThbUwZe4yki3JjMgaQaYjM94hCdEjSeIkhBAdoNpbTVgLYzaY4x1Kh0mq+QybdzsRg4Oq3DMPWPeJVU9Q668FoqPoSRc9IdpHw/lMeYl5jMgcQaIlMd4hCdFjSeIkhBDtLKJFKHGX9Phueg2tTVW5Z6IZE1qs92XJl40udHvblNuki54Q7cAZcFIfqGdw2mCGZgzt0QdqhOgKJHESQoh2Vh+op95fT6a953aXsbk3k1T7BQp9tJteCwLhAH9Y8YfY4+snXi/diIQ4TEopKr2VaEpjdNZoClML0evktHUhOpokTkII0c5qvDWEtTAmgyneoXSYrOIXAKjNPJGgNbfFek+ve5pdzl0AjM4ezdlFZ3dKfEL0VA3nMyWYExiZNZLshOx4hyREryGJkxBCtKOIFmGPaw8OkyPeoXSoij4XAlCZd06LdbbVbmPh1wsBMOgM/PqYX8tRcSEOgzfkpdJbSX5iPkWZRSRZkuIdkhC9iiROQgjRjuoD9bgCLjLsGfEOpUP5Egazc9hdLU7XlMYfVvyBsBYG4JIxlzAobVBnhSdEj1PtrSYQCTAsfRiD0gfJ+UxCxIEkTkII0Y56Qze91nhr01usK18HQEFSAVeOuzK+AQnRTSmlKHWXYjVaGZc7jvzEfBlcRYg4kcRJCCHaiaY0St2l2Ey2eIfSYVLL3yapdhUVfX6KL2FIs3WcASd/+eIvscd3HHMHVqO1s0IUoseIaBFKXCWk2lIZnT2aVFtqvEMSoleTxEkIIdpJvb8eZ8BJmi0t3qF0DKXI3v08Dvf3+G39Wkyc/rHmH7FrNp3Y/0Qm5U/qzCiF6BFCkRCl7lJyE3MZmTWSBHPLQ/4LITqHJE5CCNFO6vx1BCPBHnvugcP5DQ7392g6c4sXvN1UvYlXNrwCgNVo5aajburECIXoGRoGgeiX3I8RWSOkxVaILkISJyGEaAea0ihx9eyL3mbueRmAmuyTiZhTmkxXSvHQpw+hKQ2AK8ddSU5CTmeGKES3ppSi2ldNMBJkeOZwBqUNwqiXXTUhugr5NAohRDtwBVzU+etIsabEO5QOYQxUkVq5HICK/PObrbN0y9LYgBB9k/py0aiLOis8Ibq9sBam1FVKoiWRUdmjyE3IlUEghOhiJHESQoh20NBNr6d2qcksXYRehXEnjcaXOKzJdHfQzZ9X/Tn2+FdTftVjuywK0d7cQTc1vhr6JPVhWMYwEi2J8Q5JCNEMSZyEEOIw7TtccE+k00JklrwGQEX+ec3Wmb92PtW+agCm9ZvGlIIpnRafEN2VUopKbyWa0hiZNZL+qf2la54QXZh8OoUQ4jC5g25qfbUkmnvmUWKdClOR9xNSqj+mLvPEJtOLncW8+O2LAJgNZm6efHNnhyhEt9PQNS/FmkJRZhHZCdnxDkkIcRCSOAkhxGGq89fhD/vJcmTFO5QOoRlslBX+nLLCnzc7/YlVTxDWwgBcNOoi8hLzOjM8Ibodf9hPuaec/MR8RmSNkKHGhegmJHESQojDVO4p77Xn86wpXcMHOz4AIN2WzmVjLotvQEJ0ce6gm1p/LYPTBjM0Y2iv/e4QojuSxEkIIQ6DN+Sl2lfdY7vpZex5lbA5jbr0qbDfuRea0njs88dij6+dcC0Os6OzQxSi26jx1eAP+xmZOZIBaQPQ6/TxDkkI0QbyiRVCiMNQ56/DG/T2yOs36SM++mz7CwO/u43EujVNpi/ZvIQfqn4AYEj6EE4fcnpnhyhEt1HuLieiIozLHceg9EGSNAnRDUmLkxBCHIZKTyVGvbFHXm8lteJdDBEPAWs+rtQjG03zhrz8bfXfYo9vPupmDHpDZ4coRJenKY0ydxl2k51R2aN67LmQQvQGkjgJIcQhCoQDVHoqe2w3vcySRQBU5p0F+x0df3b9s1R5qwA4rt9xTMib0OnxCdHVhSIhSt2lZNgzGJk1klRbarxDEkIcBkmchBDiENX563AH3eQn5cc7lHZnc/2Aw/Udms5Idc4ZjaZVeat4dv2zABh0Bn456ZfxCFGILq3eX099oJ5+Kf0Ymj5Uzv8TogeQxEkIIQ5Rrb8WnU7XI89VaGhtqss4nrA5rdG0p756Cn/YD8C5w8+lb3LfTo9PiK5KUxrlnnJMehNjssfQL6WfdGMVooeQxEkIIQ5BWAtT5irrkddf0Yc9pFW8DUBl3jmNpu2s28nrP7wOgN1k58pxV3Z6fEJ0VWEtTImrhEx7JsOzhpNmSzv4k4QQ3YYkTkIIcQicASeuoKtHnuhtClbisw/AGHbiThnfaNq8L+cRUREALh59sewYCvGjUCREibuEgqQCRmaNxGayxTskIUQ7k8RJCCEOQa2vlrAWxqjveV+jAXshG8cvxBBywj6jBX5b8S3vbX8PgDRbGheNuiheIQrRpYS1MCXuEvol92Nk1kgsRku8QxJCdICe94svhBAdTClFuae8R167aV8RU1LsvlKKP3/x59jjq464qse/fiFao6GlSZImIXq+nndGsxBCdDBX0EWdv65Hnt+UWPtFtKVpP58Vf8ZXpV8BUJBUwFnDzurs0ITocoKRoCRNQvQikjgJIUQb1fvrCYQDWI3WeIfSrvRhNwO/uYXRK0/F4t0RK9eUxl+/+Gvs8ZwJc3pkF0Uh2sIX8lHqLqV/Sn9GZY+SpEmIXkB++YQQoo3KPeWYDeZ4h9Hu0srfxqD58NkLCdj6xcrf2/Yem2s2A1CUUcSJA06MV4hCdAn1/npcQRdD04cyNGOoHEgQopeQT7oQQrSBN+SlxlfTI7vpZZT+F4Cq3DNjg0JEtAj//OqfsTrXTri2R163SojWUEpR4akAHYzJGUPf5L7yeRCiF5HESQgh2qDeX4836CUtqWcNw21zb8Lh/h5NZ6Qme1as/N1t77K9bjsAo7NHM7nP5HiFKERchbUwpa5Skq3JjMga0SMvRSCEODBJnIQQog2qvFXodXp0+wzT3ROkl74JQH36VMLmVCC6o/ivNf+K1bl2/LU97nUL0Rr+sJ9yTzn5ifkMzxxOoiUx3iEJIeJAEichhGilYCRIhaeix3XT02kh0suXAlCVe0asfOnmpexy7gJgfO54jsw/Mi7xCRFPnqCHGl8Ng9IGMSxjWI88v1EI0TrSMVcIIVqp3l+PO+jucYmT3fUdhrCboDkTZ+pRQPTaNE999VSszrUTro1XeELEjTvoptZfS1FmESOzRkrSJEQvJy1OQgjRSjW+GgAMekOcI2lfnuSxrJ+8BKtvF/w4Otgbm96gxF0CwFH5RzE2Z2wcIxSi8zkDTlxBFyOzRjIgdYB0UxVCSOIkhBCtEdEilLnLcJgc8Q6lQ4QtGbgtGUC0S+KCtQti066ZcE28whIiLmp9tfjCPkZmjqR/an9JmoQQgHTVE0KIVqkP1OMMOHvcSeG6iL9J2es/vE65pxyAY/sey8iskZ0dlhBxU+mpJKgFGZszlgFp0tIkhNhLEichhGiFWl8tES3Ssy50qRTDv7yQweuuxewrBqKjhz297ulYlavHXx2v6IToVEopSlwlGPVGjsg9goLkgniHJIToYnrQHoAQQnQMTWmUukqxmWzxDqVdJdSvw+rbhSlYRdgUvS7Va9+/RpW3CoDjC49nWMaweIYoRKcIa2FK3aWkWlMZnT2aVFtqvEMSQnRBkjgJIcRBOANO6gP1pFp71s5UetkbANRmzkAz2gmEAzy7/tnYdGltEr1BKBKixF1CXmIeI7NG9rhRM4UQ7UcSJyGEOIg6fx3BSBCL0RLvUNqNPuwhtWIZsPfaTW9uejPW2nRC/xMYlDYobvEJ0RmCkSCl7lL6JfdjRNYIrEZrvEMSQnRhkjgJIcQBKKWi3fSMPaubXmrlMgyaH7+tH56k0YS1MAu/XhibfsXYK+IXnBCdwB/2U+4pZ0DqAIZnDpdrNAkhDkoSJyGEOABX0EWtv5ZkS3K8Q2lXGaVvAj+2Nul0LN20lDJ3GQBHFxwt5zaJHs0X8lHprWRQ2iCGZw7vWYO+CCE6jHxTCCHEAdT6avGH/WQ7suMdSruxeHeQ4PwahYHq7FlEtAgL1y2MTb9y3JXxC06IDuYOuqn11zIkfQjDMoZ1+wtaRyIRQqFQvMNoVigUwmg04vf7iUQi8Q5H7Kc3bR+TyYTBcPifdUmchBCiBUopSt09r5teyJzF9mF3Y/EVE7ZksHzrO+xy7gLgyLwjGZ09Os4RCtExanw1sQvbDkgbgF7Xfa/KopSirKyMurq6eIfSIqUUOTk57N69W66H1QX1tu2TkpJCTk7OYb1WSZyEEKIFrqCLWl8tSZakeIfSrjSjnZqc06L3lcaCtQti06S1SfRU5e5yDHoDR+QeQX5ifrffUWxImrKysrDb7V3y9WiahtvtJiEhAb2++yapPVVv2T5KKbxeLxUVFQDk5uYe8rwkcRJCiBbU+evwhX1kObLiHUqH+Xjnx2yt3QrA6KzRjM8dH+eIhGhfDS3HdpOdUdmjesTnORKJxJKm9PT0eIfTIk3TCAaDWK3WHr1j3l31pu1js0V7jlRUVJCVlXXI3fYkcRJCiGYopShxlWA19KzhiXN2PIVmsFKTPYuQKaVRa9MV467okkethThUSin2uPeQYknpURe2bTinyW63xzkSIbqPhs9LKBSSxEkIIdqTO+imzl/Xo7rp6SJ+cnY/gyHixZM4khWuH9hQtQGAoelDObrg6DhHKET70ZRGiauEFGsKY3PGkmztWSNjAnKgQ4g2aI/PS89ulxNCiENU66/FF/JhM/WcgSFSqj7EEPESsObjThrNU2ufik2T1ibRk4S1MMXOYtJt6RyRe0SPTJqEEJ1PWpyEEKIZZe6yHndBzPTypQBUZ89kXfnXfF3+NQD9U/pzfOHx8QxNiHbTcGHbgqQCRmSNwG6S7mxCiPYhLU5CCLEfT9DT40bTMwaqSKr5HICa7Jk8s/6Z2LTLxl7WrYdlFqKBM+Ck0lvJ4LTBjMkZI0lTF3TZZZeh0+l48MEHG5UvXry4Uau3Uop//vOfTJo0iYSEBFJSUpgwYQKPP/44Xq+3s8MWApDESQghmqj11+INeXvU9ZvSKt5Gh4Y7aTTfB0Ks2LUCgGxHNicPPDnO0Qlx+Kq8VXhDXkZljWJE1oge12LcUTQNNm2C1auj/zWt45dptVr54x//SG1tbYt1Lr74Ym688UZmz57NBx98wLp16/jd737Hf//7X959992OD1KIZnSJxGnevHn0798fq9XK+PHjWbFixQHrBwIBfvOb39CvXz8sFgsDBw5kwYIFB3yOEEK0VqWnEpPe1KPO+UkvWwJAdc4snl3/bKz8olEXYdRLr23RvZW7y0EH43LHMTBtoLSgttLatXDzzXD99fCrX0X/33xztLwjTZ8+nZycHB544IFmp7/88ss8//zzvPjii/z617/myCOPpLCwkNmzZ/P+++9z/PHStVjER9y/WV566SVuvPFGfvOb37B27VqOPfZYTj31VHbt2tXic8477zzee+895s+fz8aNG3nxxRcZNmxYJ0YthOipfCEfVd4qEi2J8Q6l3egifvz2fkQMDjbax/K/Lf8DINGcyJnDzoxvcEIcBk1Fm0esRitH5BxBXmJenCPqPtauhXvvhTVrIC0NBg+O/l+zJlrekcmTwWDgD3/4A3/5y18oLi5uMv35559n6NChzJ49u8k0nU5HcrIM9iHiI+6HGR999FGuvPJKfv7znwPw+OOP88477/Dkk082eyTi7bff5qOPPmLbtm2kpaUBUFhYeMBlBAIBAoFA7LHT6QSi47g3XAtBtF3DupN12HXJNmq7anc1Hr+HpMQktEjH9llpmH9HLwfMbB32B3RagGfX/IOwFgbgnGHnYNVbO2H53VPnbR9xKCJahLL6MnToGJk5khRzSq/5rguFQiil0DQN7RD61mkaLFyoo7ISioqgoXE9MRGGDYPvv4d//xtGjVIcznVRlVKx/w1xKqVQSjF79mzGjh3L3Llzeeqpp2LTNU1j8+bNDBky5JBem2i95rZPT6ZpGkqpZq/j1NrvjsNOnAKBABaL5ZCeGwwGWbNmDXfccUej8pNOOonPPvus2ee88cYbTJgwgYceeohnn30Wh8PBGWecwX333Re7KvD+HnjgAe65554m5e+++65cPK4dLFu2LN4hiIOQbdQ2OnSUUdZpyyv7unOW5Yl4eO271wAw6UwcFzmOkq9KOmXZ3VlnbR/Rdjqie/yrPloV50g6l9FoJCcnB7fbTTAYbPPzt2zR8803NrKzNZrbX8zOhvXr9axb52PQoMPfoXa5XLH7oVCIcDiM0+nkt7/9LbNnz+YXv/gFPp8PiB7cjkQiRCKR2IFu0bH23T49WTAYxOfz8fHHHxMOhxtNa+2AI21OnN555x1efPFFVqxYwa5du9A0DbvdzhFHHMFJJ53E5ZdfTl5e65rKq6qqiEQiZGdnNyrPzs6mrKz5H6pt27bxySefYLVaef3116mqqmLOnDnU1NS0eJ7TnXfeyc033xx77HQ6KSgo4KSTTiIpqeeMmtXZQqEQy5YtY8aMGZhMpniHI5oh26htQpEQK4tXopTqlOu+aBGNsq/LyBmTg97QMT2nrd4dAPjthTyz/hl8WnTnZNbgWYyYNKJDltlTdMb2EW0X1sKUucrIScxhWOowPv7g4173Hef3+9m9ezcJCQlYrdY2Pz8SgXBYR0oK7HfgHYDkZKishEgkgcPZTVJK4XK5SExMjJ0zajKZMBqNJCUlceqpp3LSSSfxwAMPcOmllwKQlJTE0KFD2bhxo+yjdbDmtk9P5vf7sdlsTJ06tcnnprVJeqsTp8WLF3P77bdTX1/PzJkzufXWW8nPz8dms1FTU8O3337L8uXLue+++7jsssu47777yMzMbNW8999YSqkWN6Cmaeh0Op5//vlYH9dHH32Uc889l7/97W/NtjpZLJZmW8VMJlOv+qLtKLIeuz7ZRq1TH6rHHXGT48hBfzj9U9pIb9B32I553u4FpFe8zdbCa3lpw6tA9Cj9z8b8TJKBVurI7SPaJhQJUeotpSC1gFHZozCo6F5/b/uOi0Qi6HQ69Hr9IX1XpaaCzQZeL80mRj5fdHpqqu6wuuo1dP9qiLXh/r6P//jHPzJ27FiGDh0KgF6v56KLLuKCCy7gzTffbHKek1IKp9Mp5zm1g+a2T0+m1+vR6XTNfl+09vuj1YnTH/7wBx5++GFmzZrV7Mo977zzANizZw9PPPEEzzzzDLfccssB55mRkYHBYGjSulRRUdGkFapBbm4u+fn5jT4wRUVFKKUoLi5m8ODBrX1JQgjRSJ2vDqVUjxllTh92k1r1AQD/qQtS6a0EYFrhNApTCuMYmRBtF4wEKXWX0i+5HyOzRmIxWnrNOU3tbdCg6LlNa9Y0PscJQCkoLoYJE6L1OtqoUaO46KKL+Mtf/hIrO++883j99df56U9/yu9+9ztmzJhBZmYm33zzDY899hjXX389Z555ZscHJ8R+Wp1efvHFF5x++ukHzUjz8/N56KGHDpo0AZjNZsaPH9/k/Itly5YxZcqUZp9z9NFHU1JSgtvtjpVt2rQJvV5Pnz59WvFKhBCiKU1plLpLsRt7znmPqZXvo9cCeK19mb/5/Vj5JaMviWNUQrSdP+yn1F3KgNQBjMoehcV4aOdWiyi9Hi69FDIyogNBOJ0QDkf/f/99tPySSzis1qa2uO+++2IDFUC0BeSFF17g0Ucf5fXXX+e4445j9OjR3H333cyePZuTT5Zrz4n4OKTDqj6fr8WBGEpLS8nNzW31vG6++WYuvvhiJkyYwOTJk/nnP//Jrl27uOaaa4Do+Ul79uzhmWeiV7m/8MILue+++7j88su55557qKqq4tZbb+WKK65oMSYhhDgYV8CFM+Ak1Zoa71DaTXp59NpNLxtGsr1uKQBjs8cyKntUPMMSok28IS/V3mqGpA1hWOawHtMiHG/jxsHcudHR877/HkpKwGqNtjRdckl0ekdYuHBhk7J+/frh9/sblen1eq655prY/qAQXcEhffuMGzeOF154gSOOOKJR+auvvsq1115LZWVlq+d1/vnnU11dzb333ktpaSkjR45k6dKl9OvXD4gmYvte0ykhIYFly5Zx/fXXM2HCBNLT0znvvPO4//77D+WlCCEEAPWBeoKRYI85km32l5JYtwaAv5TsjJVfMkZam0T34Q66qfPXMSxzGIPTBmPQNzOSgThk48bBmDGwZQvU10cHhRg0qPNamoTobg4pcZoxYwZTpkzh7rvv5vbbb8fj8XDdddfxyiuv8OCDD7Z5fnPmzGHOnDnNTmvuyMSwYcNkeGUhRLuq8FRgNpjjHUa7SS1/B4CPTMP4quI7AApTCjmm7zHxDEuIVvMEPdT56yjKLGJQ2iD0Otmb7wh6PQwZEu8ohOgeDilx+stf/sKsWbO4/PLLWbJkCSUlJSQlJbF69WqGDx/e3jEKIUSH8oV81PhqSDAnxDuUdpNSvQKAx+r3fs1fOPJC2fkU3YI/7KfGV0NRZhGD0wb3iqGShRBd3yF3FD7ppJM4++yzefLJJzEajbz55puSNAkhuqX6QD3ekJc0a1q8Q2k3m8bMw7fnfyx59wEAki3JzBw8M85RCXFwwUiQMncZwzKGMThdkiYhRNdxSIcet27dyuTJk3nrrbd45513uO2225g9eza33XabDA0qhOh2arw1sWuL9BTKYGF++R7CKgLAOUXnYDW2/UKZQnSmsBaOjZ43NGOotJAKIbqUQ/pGGjt2LP379+frr79mxowZ3H///bz//vssWrSIiRMntneMQgjRYcJamHJPOQmmHtJNTylQCn/Yz6LvFwFg1Bv5yfCfxDkwIQ6s4ZIAeYl5DM8cLqPnCSG6nENKnObNm8d//vMfUlJSYmVTpkxh7dq1TUbaE0KIrswZcOIOunvM+U0O53pGfHEOH6/6HfWBegBmDJhBpiMzzpEJcWCl7lLSbemMypLrNAkhuqZDOpxz8cUXN1uemJjI/PnzDysgIYToTPX+esJauMcc3U4rfxuzdxcL9lTHyi4adVEcIxLi4Co8FThMDkZmjcRhdsQ7HCGEaJZ0HhZC9FpKKcrcZdiMPeTi2VqY1MrlvO2FLT4PAEfkHMGwjGFxDkyIltX56wAYmTWSVFvPuQC1EKLnkcRJCNFreUIe6gP1PaabXlLtF5hCtY2HIB91YRwjEuLAvCEv7qCbEVkjyE7Ijnc4QghxQJI4CSF6rTp/Hd6QF5upZ7Q4pVX8j28DsNwTBiA/MZ9j+x4b56iEaF4oEqLSW8nQjKEUJBXEOxzRyT777DMMBgOnnHJKo/IdO3bERjnd//b555/HKVohonpGp34hhDgEVd4qTHpTvMNoF7qIn5TKD7m9bm/ZT0f+FIPeELeYhGiJpjRK3CX0S+7HoLRBPepSAN2OpsGWLVBfD8nJMGgQ6Dv+uPqCBQu4/vrreeqpp9i1axd9+/ZtNH358uWMGDGiUVl6enqHxyXEgUjiJITolQLhAFWeKhLNifEOpV2kVH9MddDHc67oY4fJwelDTo9vUEK0oNxdTqY9k6LMoh4zMEu3tHYt/Pvf8P334PeD1QpFRXDppTBuXIct1uPx8PLLL7N69WrKyspYuHAhc+fObVQnPT2dnJycDotBiENxyIcUZs2aRWlpaZP7QgjRHdT563AH3T1mBC+/rS+PaUMJqOjjs4ad1WNem+hZan21mIwmhmcOx26yxzuc3mvtWrj3XlizBtLSYPDg6P81a6Lla9d22KJfeuklhg4dytChQ/nZz37G008/jVKqw5YnRHs55MTp448/xufzNbkvhBDdQa2/Fp1Oh17XM071dDkGMb+yBgC9Ts95I86Lc0RCNOUJevCGvQzPGE66XbpdxY2mRVuaqqqiLUxJSWAwRP8XFUXLn3kmWq8DzJ8/n5/97GcAnHLKKbjdbt57771GdaZMmUJCQkKjWyQS6ZB4hGgtaR8XQvQ6ES1Cubsch6nntMh8sP0DKr2VAEztO5W8xLw4RyREY4FwgGpfNcMzh9MnqU+8w+ndtmyJds/r0wf2P79Mp4uWb9gQrTdkSLsueuPGjXzxxRcsWrQIAKPRyPnnn8+CBQuYPn16rN5LL71EUVFRo+caDHLOpogvSZyEEL1OfaAeZ8BJpj0z3qG0i8zil3hl/X9jj88fcX4coxGiqbAWpsxTxoDUATIYRFdQXx89p8nRwsEjux1KSqL12tn8+fMJh8Pk5+fHypRSmEwmamtrY2UFBQUMGjSo3ZcvxOHoGX1UhBCiDWp9tYS1MCZD9x9Rz+Qvp/q7P/FV1SYABqQMYELehDhHJcRemtLY49pDQVIBwzOHy0iPXUFycnQgCI+n+eleb3R6cnK7LjYcDvPMM8/wyCOPsG7dutjt66+/pl+/fjz//PPtujwh2pu0OAkhehWlFGXush5zUnpq5TLuqdv7+LwR58nRfNFlKKUocZeQ7chmRNYIzAZzvEMSEB1yvKgoOhBEUVHj7npKQXExTJgQrdeO3nrrLWpra7nyyitJ3i8pO/fcc5k/fz6nnXYaANXV1ZSVlTWqk5KSgtVqbdeYhGgLaXESQvQqrqCL+kA9CeaEeIfSLtSeJTy/zxDkMwfPjG9AQuyjwlNBgimBkVkje8zBih5Br48OOZ6RET3XyemEcDj6//vvo+WXXNLu13OaP38+06dPb5I0AZxzzjmsW7eOmproIDfTp08nNze30W3x4sXtGo8QbXXILU77HtGUo5tCiO6izl9HIBzA6uj+Ry0tnh38p2Qz/h9H8T1j6Bmycyq6jHp/PehgVPYokq3t2+VLtINx42Du3L3XcSopiXbPmzAhmjR1wHWc3nzzzRanHXHEEbEhyWVoctFVHXLitO+bWt7gQojuosxd1mO6CyWX/495+5y7/ZPhP4lfMELswx/24wq6GJ09mixHVrzDES0ZNw7GjImOnldfHz2nadCgdm9pEqKnOOTEyeVyNXtfCCG6Kk/QQ62vlkRzYrxDOXxK8fmW/7IzHH04pWAKfZP7xjcmIfhxuH9POYPTBtMvpV+8wxEHo9e3+5DjQvRUckhBCNFr1Pnr8Ia8PaI7mylYyd+r9jY3nTdcLngruoZSTym5CbkMSR/SYy4wLYQQIImTEKIXqfRWYtQbe8R5mZu8Ht73hAAoSCpgSsGUOEckBFR5q3AYHQzPHI7FaIl3OEII0a4kcRJC9Ar+sJ8qT1XP6KYHvLzh5dj9nwz/iRzZF3HnDroJRUIMzxoug0EIIXok+aUVQvQKdf46PCEPDrMj3qEcNq+nlLc2vQWA1Wjl9CGnxzki0dv5w35qfbUMyxhGXmJevMMRQogOIYmTEKJXqPZWg44e0TKz4vM78YV9AMwaPItES89oRRPdU1gLU+4pZ0DaAPqn9o93OEII0WHatAexYcOGg9Z57rnnDjkYIYToCKFIiHJPOQmm7n/RWxX2sXD3d7HHMiiEiKeIFqHEVUJBUgHDMoZh0BviHZIQQnSYNiVO48eP5+GHH272uk3l5eWcccYZXHvtte0WnBBCtIc6fx2ugIsEc/dPnL754d9sDkW/gyfkjmdg2sA4RyR6K01p7HHtIScxh5FZI3vM9dGEEKIlbUqcnnvuOR566CGmTp3K1q1bG5UPHz6c+vp61q1b194xCiHEYanx1aCUwqg/5EvXdRkv/7A4dv/8ERfELxDRq0W0CMXOYrIcWYzOGo3NZIt3SELEFBYW8vjjjx/y8xcuXEhKSsphxzF16lReeOGFw57PofrrX//KGWecEbfl90RtSpzOOeccvv32WzIyMhgzZgwPP/wws2fP5uqrr2bu3Ll8+OGHDBwoRz+FEF1HRItQ5i7rEa1N5XVbebe2CoAcWxrH9js2zhGJ3iishdnj2kN2QjZjcsb0iAFXROe57LLLOPPMMzt0GatXr+YXv/hFq+o2l2Sdf/75bNq06bBieOuttygrK+OCC/Ye4CosLESn0/Gf//ynSf0RI0ag0+lYuHDhAWNrsGPHDnQ6XbO3zz//HICrrrqK1atX88knnxzWaxF7tfnwa1ZWFq+//joXXXQRt912Gw6Hg88//5xRo0Z1RHxCCHFY6gP1OANOMu2Z8Q7lsC1d+1e0H++fOfwnPaIFTXQvoUiIEncJ+Yn5jMoe1SMuJi16nszMw/u+t9ls2GyH14r65z//mcsvvxy9vnEbRUFBAU8//XSjhOrzzz+nrKwMh6PtByGWL1/OiBEjGpWlp6cDYLFYuPDCC/nLX/7CMccccwivQuyvzcNL1dbWcuGFF7J48WLuuOMOsrKyOP/881m9enVHxCeEEIel1ldLRItgMpjiHcphCUVCvLIzehTRoNNx5rCz4hyR6G2CkSAl7hL6JfdjbM5YSZpEh/joo4+YOHEiFouF3Nxc7rjjDsLhcGy6y+XioosuwuFwkJuby2OPPca0adO48cYbY3X2b6m5++676du3LxaLhby8PG644QYApk2bxs6dO7nppptirTXQfFe9N954gwkTJmC1WsnIyODss89u8TVUVVWxfPnyZrvJXXTRRXz00Ufs3r07VrZgwQIuuugijMa2HwxLT08nJyen0c1k2vt7d8YZZ7B48WJ8Pl+b5y2aalPi9NZbbzF8+HC2bt3KmjVr+MMf/sD69es57rjjOOaYY/jtb3/b6M0thBDxpCmNUldpjzj/4qOdH1ERCgFwfMFRZNgz4hyR6E1CkRAlrhL6p/RnVPYoLEZLvEMSLQl7Wr5F/K2vG/a1rm472rNnDzNnzuTII4/k66+/5sknn2T+/Pncf//9sTo333wzn376KW+88QbLli1jxYoVfPXVVy3O89VXX+Wxxx7jH//4B5s3b2bx4sWxXlKLFi2iT58+3HvvvZSWllJaWtrsPJYsWcLZZ5/NrFmzWLt2Le+99x4TJkxocZmffPIJdrudoqKiJtOys7M5+eST+fe//w2A1+vlpZde4oorrmjVOmqrCRMmEAqF+OKLLzpk/r1Nm1Lbc889l7lz53LHHXfEmh4dDgdPPvkkZ599Nj//+c956623ZIAIIUSX4Aq4qA/Uk2JNiXcoh+3VDa/G7p898uI4RiJ6m7AWpsRdQmFKISOyRsjoeV3dywc4nzNvJkxbsvfxa1kQ8TZfN+s4mP7h3sf/LYRAVdN6FzYdaflQzZs3j4KCAv7617+i0+kYNmwYJSUl3H777cydOxePx8O///1vXnjhBU488UQAnn76afLyWr7o8q5du8jJyWH69OmYTCb69u3LxIkTAUhLS8NgMJCYmEhOTk6L8/j973/PBRdcwD333BMrGzNmTIv1d+zYQXZ2dpNueg2uuOIKbrnlFn7zm9/w6quvMnDgQMaOHXugVdOiKVOmNFlOfX09BkP00gAOh4OUlBR27NjBcccdd0jLEHu1qcXpiy++4Ne//nWzb4QZM2bwzTffMH78+HYLTgghDkedv45AJIDVaI13KIdlR90Oviz9EoC+yX05Mu/IOEckegtNaZS4ouc0yZDjoqN9//33TJ48OdZlDuDoo4/G7XZTXFzMtm3bCIVCscQHIDk5maFDh7Y4z5/85Cf4fD4GDBjAVVddxeuvv97m3lHr1q2LJWqt4fP5sFpb/t2ZNWsWbrebjz/+mAULFhxWa9NLL73EunXrGt0akqYGNpsNr7eFBFm0SZtanEaPHn3A6UlJScyfP/+wAhJCiPZS7inHaujeSRPA698sjN0/p+icRjsVQnQUpRQlrhKyHFnSPa87Oc/d8jTdfhcoPqfiADPa7yD57B2HGlGrKaWafL81XDtUp9M1ut9cneYUFBSwceNGli1bxvLly5kzZw5/+tOf+OijjxqdC3QgbR0oIiMjg9ra2hanG41GLr74Yu666y5WrVrF66+/3qb576ugoIBBgwYdsE5NTc1hD5ghoto8OIQQQnQHnqCHWl8tiZbEeIdyWPxhP29teRcAq07HaYNPi3NEojdQSlHiLiHFmsLo7NEyEER3YnS0fNv/QNKB6hptravbjoYPH85nn33WKBH67LPPSExMJD8/n4EDB2IymRqdr+N0Otm8efMB52uz2TjjjDP485//zIcffsjKlSv55ptvADCbzUQikQM+f/To0bz33nutfh3jxo2jrKzsgMnTFVdcwUcffcTs2bNJTU1t9bzbauvWrfj9fsaNG9dhy+hNZCxbIUSPVOevwxvykm5Lj3coh+Xdre9QHw4CMCt/NMnW5DhHJHo6pRSl7lKSzEmMyRnT7Q8+iK6nvr6+yfnwaWlpzJkzh8cff5zrr7+e6667jo0bN3LXXXdx8803o9frSUxM5NJLL+XWW28lLS2NrKws7rrrLvR6fYst8QsXLiQSiTBp0iTsdjvPPvssNpuNfv36AdER+D7++GMuuOACLBYLGRlNB9656667OPHEExk4cCAXXHAB4XCY//3vf9x2223NLnPcuHFkZmby6aefctppzR/sKioqoqqqCrv9wAcl9uzZ02Rd9e3bN3a/urqasrKyRtNTUlJiXQVXrFjBgAED5Dqr7URanIQQPVKVtwqj3tjtu7Ut+vb52P0zxl4dx0hEb1HmLsNusjMmZ0yPGFhFdD0ffvgh48aNa3SbO3cu+fn5LF26lC+++IIxY8ZwzTXXcOWVV/Lb3/429txHH32UyZMnc9pppzF9+nSOPvpoioqKWjynKCUlhX/9618cffTRsZajN998M3ato3vvvZcdO3YwcODAFruzTZs2jVdeeYU33niDsWPHcsIJJ7Bq1aoWX5/BYOCKK67g+eefb7EORIcSP1g3wIcffrjJunrjjTdi06dPn05ubm6j2+LFi2PTX3zxRa666qoDLkO0nk4dqGNoD+V0OklOTqa+vp6kpKR4h9NthUIhli5dysyZM1vdT1h0rt66jQLhACt2rsCoN3bpo+VaRKPkqxLyjshDb2h6HOv7yu+5eHF0BL3RjkTm//T9bp8IdicH2z49Ubm7HLPBzLjccaTbu35rbW/9jvP7/Wzfvp3+/fsfcBCCeNM0DafTSVJSUosjzB0uj8dDfn4+jzzyCFdeeWWHLONQlJeXM2LECNasWRNr3eps3377LSeeeCKbNm0iOblpb4XO2D5dyYE+N63NDXr+WhJC9Dp1/jrcQTcOc/v2v+9sr254JXb/vMEnS9IkOlSlpxKjwciYnDHdImkSvdPatWt58cUX2bp1K1999RUXXXQRALNnz45zZI1lZ2czf/58du3aFbcYSkpKeOaZZ5pNmsShafU5Tvfee+8hLWDatGlMnTr1kJ4rhBCHotZfi06nQ6/rvseGXAEX7259G4AkPRw3SrrpiY5T7a0GHYzOHk2mQ0bfEl3bww8/zMaNGzGbzYwfP54VK1Y0e25SvMU7mTvppJPiuvyeqNWJ0/bt2w9pAYd6QS8hhDgUYS1MqauUBPMBLgLZDSzZvARfJDooxLnZhdisHTfqkujdqr3VhFWYsTljyUlo+SKgQnQF48aNY82aNfEOQ/RSrU6cnn766Y6MQwgh2kW9vx5X0EW2IzveoRwypRSvff9a7PGpk+45QG0hDl2VtwpNaYzJHkNeYl68wxFCiC6t+/ZjEUKIZtT6atGUhlHffa+28FXZV2yvi7byj8sZR//MEXGOSPRElZ5KAMbkjCE/KT/O0QghRNfXffcshBBiP5rSKHWXYjd274t1vrrh1dj9c4rOiWMkoqeq8FSg1+sZkz1GuucJIUQrSYuTEKLHqPfX4ww4u/QQ5AdT7a3mgx0fAJBp0HFyrrQ2ifZV6anEoDcwNlvOaRJCiLaQxEkI0WPU+GoIRoKYDeZ4h3LI3tj0BmEtDMAlaYno7H3iHJHoSaq8Veh0OsZkjyE7ofueByiEEPEgiZMQokfQlEapqxS7qft204toERZ9vwgAHXDu0Jkg124S7aTWV0tERRiVPUqSJiGEOARtSpy++OILIpFI7LFSqtH0QCDAyy+/3D6RCSFEGzgDTuoD9SSau283vZXFKyl1lwJwih0S+p0X54hET+EMOPGH/YzKGiWj5wkhxCFqU+I0efJkqqurY4+Tk5PZtm1b7HFdXR0//elP2y86IYRopVpfLcFIEIvREu9QDtm+g0JcnlNAwN43jtGInsIT9OAMOBmeOZyC5IJ4hyN6ucsuuwydTsc111zTZNqcOXPQ6XRcdtllnR/YfhYuXIhOp4vdEhISGD9+PIsWLWr3ZRUWFvL444+3uv6HH36ITqejrq6u3WNpqw8++ICZM2eSnp6O3W5n+PDh3HLLLezZsyfeoXWINiVO+7cw7f+4pTIhhOhImtIodhZ36256pa5SPt39KQAFRjhysIymJw6fP+yn2lfNsIxh9E/tH+9whACgoKCA//znP/h8vliZ3+/nxRdfpG/frnPAKCkpidLSUkpLS1m7di0nn3wy5513Hhs3box3aK0SDAY7dP7/+Mc/mD59Ojk5Obz22mts2LCBv//979TX1/PII48c8nw7Ou7D0e7nOOmkP74QopPV+euo99eTZEmKdyiHbNEPi1BEDzxdlayjPvuUOEckuruwFqbcU87AtIEMShskv8+iyzjiiCPo27dvo9abRYsWUVBQwLhx4xrVVUrx0EMPMWDAAGw2G2PGjOHVV/e2zkciEa688kr69++PzWZj6NChPPHEE43mcdlll3HmmWfy8MMPk5ubS3p6Ov/3f/9HKBQ6YJw6nY6cnBxycnIYPHgw999/P3q9nvXr18fq1NbWcskll5CamordbufUU09l8+bNjebz2muvMWLECCwWC4WFhY2SimnTprFz505uuummWOsWwM6dOzn99NNJTU3F4XAwYsQIli5dyo4dOzj++OMBSE1NbdRCN23aNK677jpuvvlmMjIymDFjBgCPPvooo0aNwuFwUFBQwJw5c3C73bEYFi5cSEpKCosXL2bIkCFYrVZmzJjB7t27W1w3xcXF3HDDDdxwww0sWLCAadOmUVhYyNSpU3nqqaeYO3cuAHfffTdjx45t9NzHH3+cwsLCJtvngQceIC8vjyFDhnDnnXdy1FFHNVnu6NGjueuuu2KPn376aYqKirBarQwbNox58+a1GHN7kOs4CSG6vWpvNWEV7raj6YUiIf678b8AGHUGThl3A2FLRpyjEt2ZpjRKXCUUJBUwLGMYBr0h3iEJ0cjll1/+/+3dd3hUVfrA8e/0SZv0RgIklAAhJDQLKmAFxd4VZXUVFcGCrKui7ooN1FXsDbuuve7aFvipoIiNKr2XkN4n08u9vz/GDMQEQiDJZJL38zzzkLn33DvvnTN3uO+cc8/htdde47LLLgPg1Vdf5aqrrmLRokWNyt1999188sknPP/88/Tv35/vv/+eyy+/nOTkZMaOHYuiKGRmZvLBBx+QlJTE0qVLufbaa0lPT+eii/beJ/rdd9+Rnp7Od999x9atW7n44osZOnQo11xzzUHF6/f7efPNN4FA4tfgyiuvZMuWLfz3v//FYrFw++23M2HCBNavX4/BYGD58uVcdNFFzJo1i4svvpilS5cydepUEhMTufLKK/nkk08oKCjg2muvbRTLtGnT8Hg8fP/990RFRbF+/Xqio6Pp2bMnH3/8Meeffz6bNm3CYrEQERER3O6NN97g+uuv58cffwz2AtNqtTz11FNkZWWxY8cOpk6dym233cYzzzwT3M7hcPDggw/yxhtvYDQamTp1Kpdccgk//vhjs+/Hhx9+iMfj4bbbbmt2fVxc3EG9rw2++eYbLBYLCxcuDMb90EMPsW3bNvr27QvAunXrWLNmTTBxfumll7jnnnt45plnGDZsGCtXruSaa64hKiqKK664olWvf7BanTitX7+e0tJSIPArwMaNG4NZa2VlZdtGJ4QQLfApPorri4kyRIU6lEO2aNciqp3VAByfdQLa7MtCHJEIdyW2EpIjkxmcMjhsf1AQrTdy3khKbaUd/rpp0Wksu3ZZq7aZNGkSM2fOZOfOnWg0Gn788Ufee++9RomT3W5n7ty5fPvtt4waNQqAPn36sGTJEl588UXGjh2LwWDg3nvvDW6TnZ3N0qVL+eCDDxolTvHx8TzzzDPodDoGDhzI6aefzjfffHPAxKmuro7o6GgAnE4nBoOBefPmBS/kGxKmH3/8kWOOOQaAt99+m549e/LZZ59x4YUXMnfuXE466ST+8Y9/AJCTk8P69ev517/+xZVXXklCQgI6nY6YmBjS0vbOq7Z7927OP/98hgwZEjzuBgkJCQCkpKQ0SVD69evHI4880mjZ9OnTG70/999/P9dff32jxMnr9fLMM89w1FFHAYEEbNCgQfz6668ceeSRTd6bLVu2YLFYSE9P3+/71xpRUVG8/PLLGI17v6/y8/N55513gu/d22+/zRFHHEFOTg4A999/P4899hjnnXde8NjWr1/Piy++2HkSp5NOOqnRfUxnnHEGEGjOVFVVugIIITpUjbOGOncdqVHhO7zyxxs/Dv59Qe4FIYxEdAXl9nKiDFHkpeaF9X1/ovVKbaUU1YfHTflJSUmcfvrpvPHGG6iqyumnn05SUuOW9vXr1+NyuYJdzhp4PJ5GXfpeeOEFXn75ZXbt2oXT6cTj8TTpHjZ48GB0ur0tr+np6axZs+aAMcbExLBixQog0CLzf//3f1x33XUkJiZy5plnsmHDBvR6fTDZAEhMTGTAgAFs2LABgA0bNnD22Wc32u+xxx7LE088gd/vbxTTvm666Sauv/56FixYwMknn8z5559Pfn7+AeMFGDlyZJNl3333HbNnz2b9+vVYrVZ8Ph8ulwu73R4so9frG207cOBA4uLi2LBhQ7OJU1tf8w8ZMqRR0gRw2WWX8eqrr/KPf/wDVVV59913g0lgRUUFhYWFXH311Y2SX5/PR2xsbJvF9WetSpx27NjRXnEIIcQhKbeXo6oqem149jwudBWyojTwH3O/iEhGR5lwtrCNEPtT66oFIC8ljzhzXEhjER0vLTqt5UKd6HWvuuoqbrjhBgCeffbZJusVRQHgyy+/JCMjo9E6kykwguoHH3zALbfcwmOPPcaoUaOIiYnhX//6F7/88kuj8gaDodFzjUYT3P/+aLVa+vXrF3yen5/PggULePjhhznzzDP3OyDavklFcwnGwQykNnnyZMaPH8+XX37JggULmDNnDo899hg33njjAbeLimrc+2LXrl1MmDCBKVOmcP/995OQkMCSJUu4+uqr8Xq9aLV7hztoLhHaX3KUk5NDXV0dJSUlB2x10mq1TY63uXvL/hw3wMSJE7njjjtYsWIFTqeTwsJCLrnkEmDvZ+Oll15qlLgC+01G20KrrjR69+7dYplVq1YdVDkhhDhcbp+bUltpWA8KMb9yfvDvaVEOTJ5KSZzEIbF5bDi8DgrSCmSC226qtd3lQu3UU08NjqA2fvz4Jutzc3MxmUzs3r2bsWPHNruPH374gWOOOYapU6cGl23btq19AiZwUd4wGmBubi4+n49ffvkl2FWvqqqKzZs3M2jQoGCZJUuWNNrH0qVLycnJCV7gG43GRvOkNujZsydTpkxhypQpzJw5k5deeokbb7wx2DLT3DZ/tmzZMnw+H4899lgwSWpuzlWfz8eyZcuCrUubNm2itraWgQMHNrvfCy64gDvuuINHHnmExx9/vMn62tpa4uLiSE5OprS0tFECuWrVqhbjBsjMzGTMmDG8/fbbOJ1OTj75ZFJTA99tqampZGRksH379uB9ch2hTX6iraur4+233+bll19m9erVB1WRQghxuKqcVdS768mwZLRcuBNyep18W/0tABEauCw+isLEY0MclQhHdo+dWlctg5MH09MiczWJ8KDT6YJd2pprJYiJieHWW2/llltuQVEUjjvuOKxWK0uXLiU6OporrriCfv368eabbzJ//nyys7N56623+O2338jOPvzh91VVDd7X73Q6WbhwIfPnzw+OGNe/f3/OPvtsrrnmGl588UViYmK44447yMjICHbP+9vf/sYRRxzB/fffz8UXX8xPP/3EM88802j0t6ysLL7//nsuueQSTCYTSUlJTJ8+ndNOO42cnBxqamr49ttvg8lY79690Wg0fPHFF0yYMIGIiIjgvVh/1rdvX3w+H08//TRnnnkmP/74Iy+88EKTcgaDgRtvvJGnnnoKg8HADTfcwNFHH91sNz0IJHWPP/44N9xwA1arlb/85S9kZWWxZ88e3nzzTaKjo3nsscc4/vjjqaio4JFHHuGCCy7gf//7H19//TUWy8H94HnZZZcxa9YsPB5PkwRt1qxZ3HTTTVgsFk477TTcbjfLli2jpqaGGTNmHNT+W+uwhiP/9ttvufzyy0lPT+fpp59mwoQJLFsWXr92CCHCV0l9CXqtHq2mzWdW6BALdizAoTgAuCQGNGkno2rlRn7ROnaPnWpXNQOTBtI3oa/cayzCisViOeBF9P33388///lP5syZw6BBgxg/fjyff/55MDGaMmUK5513HhdffDFHHXUUVVVVjVqfDofVaiU9PZ309HQGDRrEY489xn333cddd90VLPPaa68xYsQIzjjjDEaNGoWqqnz11VfBroHDhw/ngw8+4L333iMvL49//vOf3HfffY0m+b3vvvvYuXMnffv2JTk5GQi0Jk2bNo1BgwZx6qmnMmDAgGCylZGRwb333ssdd9xBampqsLtjc4YOHcrcuXN5+OGHycvL4+2332bOnDlNykVGRnL77bczceJERo0aRUREBO+9994B35+pU6eyYMECioqKOPfccxk4cCCTJ0/GYrFw6623AjBo0CCee+45nn32WQoKCvj111+D6w7GhRdeSFVVFQ6Hg3POOafRusmTJ/Pyyy/z+uuvM2TIEMaOHcvrr7/eJknz/mjUVs5Yu2fPHl5//XVeffVV7HY7F110ES+88AKrV68mNze3veJsU1arldjYWOrq6g464xVNeb1evvrqKyZMmNCk77DoHLpyHdk8NpbsXkKUISpsb4C//JPL2Vi1EYBfe0LsUc9TH39EiKMSDRS/QvGKYnoM74FW1zmT84akaVDSIPon9g/bHxEOVVf+jjsQl8vFjh07yM7Oxmw2hzqc/VIUBavVisViaXQvjegcGurnk08+YcaMGdTW1oY6pHZ1oPPmYHODVn2KJ0yYQG5uLuvXr+fpp5+muLiYp59++tCiF0KIw1DlqMLhdYRt0rS+Yn0waRpugvyYJOrjhrewlRB7dfekSQghOlqr7nFasGBBcHjE/v37t1dMQghxQIqqUFRfRKQ+PJMmgI/WfxT8+/pYqE0dDxqZpFQcHIfXIUmTEEJ0sFZ90/7www/U19czcuRIjjrqKJ555hkqKiraKzYhhGhWrauWakc1seb2m6uhPVndVuZvC4ymF601cFZqP6pTTw1xVCJcOL1OqhxVDEwaKEmTEOKwXXnllV2+m15badW37ahRo3jppZcoKSnhuuuu47333iMjIwNFUVi4cCH19fXtFacQQgRV2CvwqT6MuvAcSOHLLV/i9rsBGJswjl1HvIMjZlCIoxLhwOVzUeGoICcxh5zEHEmahBCiAx3SN25kZCRXXXUVS5YsYc2aNfztb3/joYceIiUlhbPOOqutYxRCiCCv30tRfRExxphQh3JIVFXl4w0fB5+fmiQtTeLguHwuyu3l5CTmMCBpgCRNQgjRwQ77W3fAgAE88sgj7Nmzh3fffbctYhJCiP1qmLspXBOn5SXL2Vm7E4AjE3qTbUoKbUAiLDQkTf0S+jEwaSA6rdwPJ4QQHa3Nfq7S6XScc845/Pe//22rXQohRBOltlI0aML2wnHf1qZbjLs4ynV/CKMR4WDfpGlQ8qCw/ewLIUS4O+jEacqUKRQWFh5U2ffff5+33377kIMSQojm2D12yuxlYTsoRKWjkm93fAtAsl7HedFQrD8mxFGJzszlc1FmL6N/Qn9yk3PRa1s1GK4QQog2dNDfwMnJyeTl5XHMMcdw1llnMXLkSHr06IHZbKampob169ezZMkS3n33XTIzM5k3b157xi2E6IaqnFXYPXYSLYmhDuWQ/GfTf/CrfgAmx/jRa3UU6UcjnfVEc5xeJxWOCgYkDpDueUII0QkcdOJ0//33c+ONN/LKK6/wwgsvsHbt2kbrY2JiOPnkk3nllVcYN25cmwcqhOjeVFWlyFpEhD4CjUYT6nBaza/4+XTjpwBogGtjoS7+GDzu8Gw9E+2rIWnKScyRpEm0isfvwaf4Ouz19Fp92I5wKkRrtarNPyUlhZkzZzJz5kxqa2vZtWsXTqeTpKQk+vbtG5YXM0KI8FDrqqXaWU28OT7UoRySpYVLKbWVAjA+2kiWwcPWlNPg4HpAi27E4XVQ5ahiQOIABiQNkKRJHDSP38Ove37F5rV12GtGG6I5MvNISZ6ASZMmMWjQIO68885Qh3JIdu7cSXZ2NitXrmTo0KFtuu+srCymT5/O9OnTcbvd9O/fn08//ZQRI0a06eu0t0MeHCIuLo6CggKOPvpo+vXrJ0mTEKJdVToq8fg9mPSmUIdySD7a8FHw72kxHny6aGoTR4cwItEZObwOKh2VDEweyMBkaWkSreNTfNi8NoxaIzHGmHZ/GLVGbF5bq1q46uvrmT59Or179yYiIoJjjjmG3377rVGZK6+8Eo1G0+hx9NFHNyozY8YMEhIS6NWrF++9916jdR988AFnnnnmQcXj8Xh45JFHKCgoIDIykqSkJI499lhee+01vF5vMJ5zzjnngPv5/fff+fLLL7nxxhuDy7Zv386ll14avLUlMzOTs88+m82bNx9UbO3pyiuv5Nxzzw3Ja5tMJm699VZuv/32kLz+4WhV4uRwOJg2bRoZGRmkpKQwceJEKisrDzuI5557juzsbMxmMyNGjOCHH344qO1+/PFH9Hp9m2fFQojOxev3UmQN37mbiqxFLC1cCkCGOYbToqAm5RRUbXgmgaJ9OLwOqpxVDEoeJJPbisNi0psw683t/jiUH7ImT57MwoULeeutt1izZg3jxo3j5JNPpqioqFG5U089lZKSkuDjq6++Cq77/PPPeeedd1iwYAEPP/wwf/3rX6mqqgKgtraWu+66i2effbbFWDweD+PHj+ehhx7i2muvZenSpfz6669MmzaNp59+mnXr1h30cT3zzDNceOGFxMTEBPd9yimnYLVa+eSTT9i0aRPvv/8+eXl51NXVHfR+u6rLLruMH374gQ0bNoQ6lFZp1bfyPffcw+uvv87pp5/OJZdcwsKFC7n++usPK4D333+f6dOnc9ddd7Fy5UpGjx7Naaedxu7duw+4XV1dHX/5y1846aSTDuv1hRCdX7Wzmjp3HRaTJdShHJJPN36KigrAWXmXs27UF5T2+muIoxKdSUPSNDBpoCRNostyOp18/PHHPPLII4wZM4Z+/foxa9YssrOzef755xuVNZlMpKWlBR8JCQnBdRs2bOD4449n5MiRXHrppVgsFrZv3w7AbbfdxtSpU+nVq1eL8TzxxBN8//33fPPNN0ybNo2hQ4fSp08fJk6cyC+//EL//v0P6rgUReHDDz/krLPOCi5bv34927dv57nnnuPoo4+md+/eHHvssTz44IMcccQRQKBrnEaj4YMPPmD06NFERERwxBFHsHnzZn777TdGjhxJdHQ0p556KhUVFY1e77777iMzMxOTycTQoUP53//+1yimNWvWcOKJJxIREUFiYiLXXnstNlugC+esWbN44403+O9//0t8fDw6nY5FixYFt92+fTsnnHACkZGRFBQU8NNPPzXa99KlSxkzZgwRERH07NmTm266CbvdHlxfXl7OmWeeSUREBNnZ2c2OtJ2YmMgxxxwTdnPAtuoep08++YRXXnmFSy65BIDLL7+cY489Fr/fj053aN0J5s6dy9VXX83kyZOBwId4/vz5PP/888yZM2e/21133XVMnDgRnU7HZ599dsDXcLvduN3u4HOr1QqA1+sNNsOK1mt47+Q97Ly6Sh0V1xaDAhpVg+JXQh1Oq3j9Xv6z6T8A6DQ6zux3Jm5DYBy9hmMJt2PqLjqqfpxeJ1WOKnKScsi2ZOP3+fHjb9fX7Cq6yndca3m9XlRVRVEUFGXv57PhuaIGHu1NUZW9r6k0fT1VVYP/KoqCx+PB7/djNBoblY+IiGDJkiXBZaqqsmjRIlJSUoiLi2PMmDE88MADpKSkADBkyBDmzZtHVVUV27dvx+l00qdPH77//ntWrFjBs88+22w8f/b2229z0kknUVBQ0KS8TqcjIiICRVFQVTV4DM1ZtWoVtbW1DB8+PFgmMTERrVbLhx9+yM0339zsdXJD2XvuuYe5c+fSq1cvJk+eHEwGH3/8cSIjI7nkkkv4xz/+wXPPPQcErpUfe+wxnn/+eYYNG8Zrr73GWWedxZo1a+jfvz8Oh4NTTz2Vo446il9++YXy8nKuvfZapk2bxmuvvcaMGTNYv349VquVJ598kujoaBITEykuLgbgrrvu4pFHHqF///7cfffdXHrppWzevBm9Xs+aNWsYP3489913Hy+99BIVFRXcdNNNTJs2jVdffRWAK664gj179vB///d/GI1Gpk+fTnl5eZP38IgjjuCHH344qLpqCw116fV6m9THwX6HtCpxKiwsZPTovX3yjzzySPR6PcXFxfTs2bM1uwICzZjLly/njjvuaLR83LhxLF26dL/bvfbaa2zbto1///vfPPDAAy2+zpw5c7j33nubLF+wYAGRkZGtjls0tnDhwlCHIFrQVeqomOJQh9BqP9T8QI2rBoBjLCPxbPQ0OY7S1aWhCE0cpI6oHy1atm7byla2tvtrdUVd5TvuYOn1etLS0rDZbHg8nuByh9eBw+FA69Xi17d/8u3yuXB4HVitVnyG/d/nVF9fH/z7iCOO4N577yUzM5OUlBQ++ugjfvnlF/r27Rv8YXvs2LFMmDCBnj17smvXLmbPns0JJ5zAokWLMJlMjBo1igsuuIAjjjgCs9nMc889h9/vZ8qUKTz33HM8/vjjvPTSSyQkJPDEE08waNCgZuPasmULo0aNCr7u/ni9Xnw+337LbdiwAZ1Oh9lsDpaJiYnhoYce4p577uG+++5j6NChjB49mgsvvJCsrCyAYAvQ1KlTGTVqFBDoyjh58mT+85//MGTIEAAmTpzIu+++G9z3o48+yk033cSECRMAuPPOO/nmm2/417/+xaOPPsobb7yBw+Hg6aefJioqil69evHQQw9x6aWXctddd5GSkoJer0en05GamhqoS5erUTwN1/u33noro0aNYtWqVeTk5DBnzhzOP/98/vrXQK+J1NRUHnzwQc444wweeugh9uzZw//+9z8WLlzI4MGDAXj88cc56qijcLlcjd7DxMREtm/f3uL731Y8Hg9Op5Pvv/8en6/x59XhcBzUPlqVODX8StBoB3p9kxc/WJWVlfj9/mClNUhNTaW0tPn/qLZs2cIdd9zBDz/8gF5/cOHPnDmTGTNmBJ9brVZ69uzJuHHjsFjCs+tPZ+D1elm4cCGnnHIKBoMh1OGIZnSFOtpj3cPKkpVkWjLDchCab7/6Nvj3rJjlDDc+wtbch1G1JhS/QunqUtIK0tDqpGtWZ9Pe9ePyuaiwV9A/oT/9E/vLQBCHoCt8xx0Kl8tFYWEh0dHRmM3m4HK9V09kTSRRpijMevMB9tA2dD4dilvBYrEQaWj6Q7SqqtTX1xMTExP8/n777beZPHkyubm56HQ6hg8fzqWXXsrKlSuD12RXXnllcB9HH300Y8aMITs7mx9++IHzzjsPgNmzZzN79uxguXvvvZdx48YRFxfH3LlzWb16NV988QU33HBDk8En9o3PZDK1eC1oMBjQ6/UHLGcymYiNbTy9xN/+9jeuvfZavvvuO3799Vc+//xz5s6dy2effcYpp5xCdHQ0EGiIaNh3Q1J11FFHBZf16tWLyspKLBYLVquVkpISTjzxxEbxjB49mt9//x2LxcLOnTsZOnQo6enpwfWnnHIKiqJQXFxMv379gscEBOunuXgauis6HA4sFgtr1qxh69atfPTR3gGPGlqSqqqqKCwsRK/XM3bs2GCrzsiRI4mLi8NsNjeKOS4uDpfL1WHX4i6Xi4iICMaMGdPovAEOOnlrVeKkqipXXnklJtPemwFdLhdTpkwhKioquOyTTz5pzW6bXAypqtrsBZLf72fixInce++95OTkHPT+TSZTo5gbGAyGbvVF217kfez8wrWOFFWh1FFKhCkCnT78Liq3VW9jZelKAPpFJXCCuRq7z4rGEMG+33BanVYSp06sPerH4/dQ4aqgf3J/cpNzJWk6TOH6HXeo/H4/Go0GrVaLVrv3s9nwXKvRdsh9clqNdu9rapu+XkMXrIZYIXAhvnjxYux2O1arlfT0dC6++GKys7Ob3QdARkYGvXv3Ztu2bc2W2bhxI++88w4rV67k1VdfZcyYMaSmpnLJJZcwefJkbDZbsxfnOTk5bNy4cb+v26BhZL/9lUtJScHhcODz+Zo0MMTGxnLOOedwzjnn8OCDDzJ+/Hhmz57N+PHjg/szmUzBvxuSjT8vUxSl0fus0+maxLNvjH+O98/b7Xud/efPUnPxNOxDURSuu+46brrppibvQ69evdiyZctBxQeBgTySk5NbfP/bSsNxN/d9cbDfH61KnK644oomyy6//PLW7KKRpKQkdDpdk9al8vLyJq1QEGjqXbZsGStXruSGG24A9vZX1Ov1LFiwgBNPPPGQ4xFCdC61rlqqHFUkRiaGOpRD8vGGj4N/XxunR6OB6rTTQxiR6Ax8io8SWwl94vswKHmQJE2izbl97pYLhfh1oqKiiIqKoqamhvnz5/PII4/st2xDS8a+LSgNVFXl2muv5bHHHiM6Ohq/39/k3rf93UMzceJE7rzzTlauXMmwYcMarfP5fLjd7kYNA/vTMLrz+vXrDzjSs0ajYeDAgQe8HaUlFouFHj16sGTJEsaMGRNcvnTpUo488kgAcnNzeeONN7Db7cH4f/zxR7RabbDhwWg04ve3vjvn8OHDWbduHf369Wt2/aBBg/D5fCxbtiwYz6ZNm6itrW1Sdu3atU3e986uVYnTa6+91qYvbjQaGTFiBAsXLmw0lvzChQs5++yzm5RvaCLc13PPPce3337LRx99RHZ2dpvGJ4QIrXJ7OT7VF5YTKzq9Tr7c8iUAZp2Ra0zlKBo91SmnhDgyEUp+xU9RfRG9LL3ITc5Fr23Vf8NCHJBeqyfaEI3N2/jep/YUbYhu1ed4/vz5qKrKgAED2Lp1K3//+98ZMGBA8J4Zm83GrFmzOP/880lPT2fnzp3ceeedJCUlNTvv0EsvvURKSkpwRLtjjz2WWbNm8fPPP/P111+Tm5tLXFxcs7FMnz6dL7/8kpNOOon777+f4447jpiYGJYtW8bDDz/MK6+8clBT3iQnJzN8+HCWLFkSLL9q1SruueceJk2aRG5uLkajkcWLF/Pqq68e9vxFf//737nnnnvo27cvQ4cO5bXXXmPVqlXB0esuu+wy7rnnHq644gpmzZpFRUUFN954I5MmTQo2TGRlZTF//ny2bNlC7969iY8/uMnlb7/9do4++mimTZvGNddcQ1RUFBs2bGDhwoU8/fTTDBgwgFNPPZVrrrmGefPmodfrmT59OhEREU329cMPP3D//fcf1nvR0UL+jT1jxgwmTZrEyJEjGTVqFPPmzWP37t1MmTIFCNyfVFRUxJtvvolWqyUvL6/R9ikpKZjN5ibLhRDhze1zh/XcTfO3zcfuDQzPem5KL+J0W6lNOBa/IS60gYmQUVSFYlsxPWJ6kJeaF5Y/CIjOzagzcmTmka2akPZw6bX6Vn2W6+rqmDlzJnv27CEhIYHzzz+fBx98MNhVSqfTsWbNGt58801qa2tJT0/nhBNO4P333w/OkdSgrKyM2bNnN2rBOfLII/nb3/7G6aefTkpKCm+88cZ+YzGZTCxcuJDHH3+cF198kVtvvZXIyEgGDRrETTfd1Kpry2uvvZbXX3892CMqMzOTrKws7r333uCw4w3Pb7nlloPeb3NuuukmrFYrf/vb3ygvLyc3N5f//ve/wfuRIiMjmT9/PjfffDNHHHEEkZGRnH/++cydOze4j2uuuYbvvvuOE088EZvNxnfffRe8v+pA8vPzWbx4MXfddRejR49GVVX69u3LxRdfHCzz2muvMXnyZMaOHUtqaioPPPAA//jHPxrt56effqKuro4LLrjgsN6LjqZRG8aKDKHnnnuORx55hJKSEvLy8nj88ceDzY9XXnklO3fubDS+/L5mzZrFZ599xqpVqw769axWK7GxsdTV1cngEIfB6/Xy1VdfMWHChG7VtzychHMdFVmL+LXoVzItmWE3p42qqkz6bBIbKzcCsLRPPKN0NWwb/Ai1yXu7Eyt+heIVxfQY3kPuceqE2rJ+VFWlqL6IxIhEhqUPI8rYcvcf0bJw/o47HC6Xix07dpCdnd3kJvfORFEUrFYrFoulw+5jCRWXy8WAAQN47733giPkdXahrJ8LL7yQYcOGceedd3bYax7ovDnY3CDkLU4QGPZw6tSpza57/fXXD7jtrFmzmDVrVtsHJYQImYaLTKPOGHZJE8C6inXBpGlwfC9G6Xbj01uoSzwuxJGJUFBVlWJbMXHmOPLT8iVpEqILMpvNvPnmm1RWVoY6lE7P7XZTUFBw2C1vodApEichhNhXnbuOCnsFcea4UIdySPYdFOL8QRexK96A1u9C1UrXrO5GVVVK7aVYjBYK0gqwmKSXgxBd1dixY0MdQlgwmUzcfffdoQ7jkEjiJITodMpsZXj8ng6Zh6StWd1WFmxbAEC0MZpTcs6m0tD0pljR9amqSomthChjFPlp+WH7Q4AQQogASZyEEJ2Kx+9hj3VP2P4y/8XmL3D7A0P0ntH/DCIkaeqWVFWlyFZErDGWgrQC4iMObsQqIVqjE9ymLkTYaIvzJfxuHhBCdGkV9grq3fVhmTgpqsJH6/fOpj41spbkog/R+mwhjEp0NEVVKKovIs4Ux7D0YZI0iTbXMBCGw+EIcSRChI+G8+VwBpKRFichRKfRMCiEQWcIy0EhftnzC7utuwE4Mi2f0bX/Q62dT13icXj00SGOTnQERVUoshaRFJlEQVoBMabwHE5fdG46nY64uDjKy8uBwPDTGo0mxFE1pSgKHo8Hl8vV5UfVC0fdpX5UVcXhcFBeXk5cXBw63aFPOi6JkxCi06h11Yb1oBAfrP8g+Pe1KSnghPq4I/CYm852L7qehqQpOSqZgrQCoo2SLIv2k5aWBhBMnjojVVVxOp1ERER0ysSuu+tu9RMXFxc8bw6VJE5CiE6jzF6GV/GG5aAQe6x7WLJ7CQCpUalc4l8LQFX6maEMS3QQVVUpri8OtjRJ0iTam0ajIT09nZSUFLxeb6jDaZbX6+X7779nzJgx3WqerXDRnerHYDAcVktTA0mchBCdgsvnYk/dHizG8Lu3CQJDkKsEbjy9LPtootz/waeLpibphBBHJtpbw0AQceY4SZpEh9PpdG1yQdgedDodPp8Ps9nc5S/Mw5HUT+t13Q6NQoiwUmGvwOqxhuWgEC6fi/9s+g8ABq2BayPrAahJGYeqC7/WM9E6JbYS4kxxDE0bKvc0CSFEFyaJkxAi5PyKn0JrIZH6znmDc0v+t/V/WN1WAMZnn0j/uh8BqEw/K5RhiQ5Qaisl0hBJfmo+sebYUIcjhBCiHUlXPSFEyFU7q6l0VJISmRLqUFpNVdVGg0JM7H8K1lonRlcJjpjBIYxMtLcyWxkmnUnmaRJCiG5CEichRMgV1RcBYNCFXx/r1WWr2Vy1GYDByYPJ6Xk823oeD4oPwrD1TBycSkclOp2O/LR8kiKTQh2OEEKIDiBd9YQQIWV1Wym1lRJvDs9f7Pdtbbpo8EV7V2jld6muqtpZjaIq5KfkkxIVfq2kQgghDo0kTkKIkCq1leL0Ook0RIY6lFardFTyzfZvAIg3x3NunAWjsyjEUYn2VOuqxeP3kJ+aT3qMzM8lhBDdiSROQoiQcflcFNYVhuVIegCfbPgEv+oH4JwBZzFw8wMM+eVsomtXhDgy0R7q3fXYvXaGpA4hw5IR6nCEEEJ0MEmchBAhU2Yro85dR6wp/EYj8yk+Ptn4CQBajZa/pvXC4K3Ca0jAZskPcXSirdk9durcdQxOHkxPS89QhyOEECIEJHESQoSE1+9lZ+1OogxRYTkE+Xc7vqPSUQnA2N5jybMuAaAqdYLc39TFuHwuqpxVDEwaSJ/4PmH5eRVCCHH4JHESQoREhaOCGldNlxgUYmLOqcRVfQ9AVfqZoQpJtJNKeyU5iTn0T+wvSZMQQnRjkjgJITqcoirsrtuNQWtAp9WFOpxW21y1mZWlKwHoE9eH8exGo/qxxeThiuob4uhEW3H73AD0ie/DwKSBaDXyX6YQQnRn8r+AEKLDVToqKbeXkxiRGOpQDskH6/YZgjz3ApJL/gNAZY/zQhWSaGMev4dyezkAOUk5YZngCyGEaFuSOAkhOpSqqhRZi9CgCcsJb2ucNXy19SsAogxRnJOZj8Fbg18XRU3KKSGOTrQFr99Lia2ErLgsAPRyz5oQQghA/jcQQnSoWlctxfXFJEQkhDqUQ/Lxho/x+D0AnDPwHPSxA/n9mP8RYduCoosIcXTicPkUH8W2YnrH9mZAwgAKKQx1SEIIIToJSZyEEB2qqL4Ir9+LWW8OdSit5vV7+XD9h0BgCPKLB18MgKKLwB4rQ5CHO7/ip6i+iJ6WnuSl5KFVpVOGEEKIveR/BSFEh6l311NkLSI+IjxH0luwfQFVzioAjs86nl5GI6hqiKMSbaEhaeoR04O8lDxMelOoQxJCCNHJSOIkhOgwJbYSHF4H0cboUIfSaqqq8s6ad4LPJw6+hAGrriH3t4sx27eHMDJxuBRVobi+mLToNPJT84kwSJdLIYQQTUlXPSFEh3B6neyu3Y3FZAl1KIdkZelKNlVtAiA3KZfjTF7MzkL8uig85vQQRycOlaqqFNcXkxSZxJDUIUQaIkMdkhBCiE5KWpyEEB2izF6G1WMl1hQb6lAOybtr3w3+femQS0ku+QyAqtQJMihEmFJVlWJbMXHmOPLT8sOyJVQIIUTHkcRJCNHu3D43O2t2EmOMQaPRhDqcVttj3cOinYsASIpM4tSM4cRVfgdAZY9zQxiZOBwlthIsRgsFaQVh2xIqhBCi40jiJIRod2X2Mqpd1cSZ40IdyiF5f937qAQGgbgo9yLSKv6HVvVhjxmMMzonxNGJQ1FmKyPSEEl+Wn7Yfi6FEEJ0LEmchBDtyuv3sqNmB1GGKLSa8PvKsXls/HfTfwEw6UycN/Ackv7oplchrU1hqcJegV6nJz81P2znExNCCNHxwu8qRggRVkptpVQ7q4k3h+cQ5J9v/hy71w7AhP4TyHTvCA4KUZMyPsTRidaqdFSi0WjIT80nOSo51OEIIYQIIzKqnhCi3Xj9XrbXbCfSEIlOqwt1OK3mV/y8t/a94PNL8y7FFpvF5vxnMLpKZVCIMFPpqERFpSC1gLTotFCHI4QQIsxI4iSEaDclthKqndVkxGSEOpRDsnjXYorqiwA4OuNo+sT3AaA+4ehQhiUOQUPSlJ+aT3qMDB8vhBCi9aSrnhCiXXj8HnbU7Ajb1iZVVXlj9RvB5xOHTARVDWFE4lBVOioBKEgtoEdMjxBHI4QQIlxJ4iSEaBfF9cVUOavC9ub7laUrWVexDoD+Cf05psdIcpddQsa2p9D6bCGOThyshqRJWpqEEEIcLkmchBBtzuVzsb1mOzHGmLAcSQ/gzdVvBv+elD+J+MrviLBvI6HsK1StKYSRiYNV5aiS7nlCCCHaTHhe0QghOrXCukJqXbVhO5LetuptLClcAkBqVCrj+o4jufhDACrTz0XVGkIZnjgI1c5qfKqPISlDJGkSQgjRJiRxEkK0KZvHxo7aHcSZ4tBoNKEO55D8e82/g39fNuQyYuzbiKlbharRUdnjvBBGJg5GrasWj99Dfmo+GZbwHJhECCFE5yOJkxCiTe2o2YHdYyfWHBvqUA5Jma2Mr7d+DYDFZOGcgecEW5tqkk7Ea5K5fzqzWlctTq+TIalDyLRkhjocIYQQXYgkTkKINlPlqGJ33W6SIpNCHcohe2/de/gUHwAXDLqAGHwklgUSqYqMi0IZmmhBrasWh9fBkNQh9IrtFepwhBBCdDGSOAkh2oSiKmyv2Y5f9RNpiAx1OIek3l3PJxs+AcCoM3Lx4ItJLP0vWsWNI6o/ttihoQ1Q7FdD0pSfmk/vuN6hDkcIIUQXJBPgCiHaRKmtlCJrEWnRaaEO5ZB9vOFj7F47AGf0P4PEyETqGI3JVYI9ZjCE6T1bXV1D9zxJmoQQQrQnSZyEEIfN4/ewrXobZr0Zgy48R5zz+D28u/ZdADRouDz/cgDckb0p7P/3UIYmDqDaWR0YCCItX7rnCSGEaFfSVU8IcdiK64updFSG7WS3AF9t+YoqZxUAJ2SfIBfhYaDSUYlP8VGQViD1JYQQot1J4iSEOCxOr5Nt1duIMcag0+pCHc4h8St+3vr9reDzv+T/hYj6jfRZdztRdb+HMDKxP6W2UtDA0LShMnqeEEKIDiGJkxDisOyu202du444c1yoQzlk3+38jl11uwAYnjacvJQ8Uve8TXzFN6QUvR/i6MS+VFWlqL4Is97M8LThMrmtEEKIDiP3OAkhDlm9u56ddTuJN8eH7WS3qqryyspXgs+vGnYVBncFCeULACjLvCxUoYk/8St+iuuLiY+IJz81n/iI+FCHJIQQohuRFichxCHbXbcbh8eBxWQJdSiH7IfdP7ClegsAg5MHc1TGUSQXfYBG9VMfOxSHJTfEEQoAn+JjT/0eUqNTGdFjhCRNQgghOpy0OAkhDkm1s5qdtTvDerLbP7c2XT3sarSKm+TiwFxO5ZkTQxWa2EdDS1NGTAZDUoeE7TxhQgghwpu0OAkhWk1RFbZVbwvryW4Bfin6hXUV6wDISchhdK/RJJZ+gd5Xh9ucQW3S2BBHKPyKn6L6ItJj0slPzQ/rz5sQQojwJomTEKLVSupLKK4vJiUyJdShHJZXV74a/PuqYVehQSV1T2Aup/LMS0ATnqMEdhWKqlBUH5hUOT81nwhDRKhDEkII0Y1J4iSEaBWn18mWqi1hPdktwIqSFawoXQFAVlwWJ2SdAKpCecaFOKL6UZl2Vogj7N5UVaW4vpjkyGTpnieEEKJTkHuchBAHTVVVttdsp9pVTS9LeE84um9r01+H/jU4B1VF5iVUZFwMYTpKYFegqipFtiLiI+IpSCsg2hgd6pCEEEIISZyEEAevwlHBjpodJEcmh+3w4wBrytbwc9HPAGTEZDC+7/jGBcL42MKdoioU1xcTZ46jILWAGFNMqEMSQgghAOmqJ4Q4SB6/h82Vm9FoNGHfbeqF5S8E//7r0L+i1+rJ3DqXhNKvQPGFMLLuzaf4KLQWkhiRyPD04cSaY0MdkhBCCBEkLU5CiIOyo2YH5Y5yMmMyQx3KYVlZspJfin4BAq1NZ+Scgdm2ldQ976CixW4ZgjuyZ4ij7H6cXifljnJ6WnoyOGVw2CfnQgghuh5JnIQQLap0VLKtZhuJEYnBe4HC1b6tTZOHT0av1ZNW+AYANcknStIUAnWuOuo99QxIHEBOYk5YDzoihBCi65LESQhxQB6/h81Vm/Er/rC/Sf+3ot9YXrIcgF6WXpzW7zSMzmISyhYAUNbrilCG1y2V28tRUSlIK6B3bO+wvndOCCFE1yaJkxDigLbXbKfUVhr2XfRUVW3U2nTNiGvQa/Wk7nkbDX6s8UfhiBkUwgi7F0VVKLGVEGWIIi8lj9To1FCHJIQQQhyQJE5CiP0qs5WxtWorSRFJYd9F7+c9P7O6bDUA2XHZjOszDr2nhqSSzwAoldamDuNX/BTVF5EUmcSQ1CHEmeNCHZIQQgjRIkmchBDNcnqdbKzciFajJcoYFepwDsufW5uuHX4tOq2OlD3voFXc2KMHUR93RAgj7D58io/i+mLSotMYkjok7Lt/CiGE6D4kcRJCNKGoCpuqNlHlrAr7iW4Bftj9A+sq1gHQL6EfJ/U5CQBr/FFE162iLPMymbupA/gUH0X1RWTEZJCfmk+EISLUIQkhhBAHTRInIUQTe6x72FW7i7SotLC/Wd+v+Hnmt2eCz68bfh1aTWAKO1v8SDbHjQhVaN1KQ9LU09KTvJQ8SZqEEEKEHUmchBCN1Dhr2FC5gWhjNCa9KdThHLavtn7F9prtAOSl5HF81vGNC4R5YhgO3D43pfZSesf2ZnDKYMx6c6hDEkIIIVpNEichRJDb52ZD5QbcPjdJMUmhDuewuXwuXli2996mG4+8EY1GQ+ruN9D57JT1nIjfEBe6ALuBholt+8T3ITc5F6POGOqQhBBCiEMiiZMQAth7X1NXGHq8wYfrP6TMXgbAcT2PY0T6CHReK+m7XkXnt+OIGUBt8kkhjrLrsnls1LhqGJg4kJykHPRa+S9HCCFE+JL/xYQQAOyq3cX2mu2kRqWG/dDjAFa3lddWvQaABg03HHkDACl73kXnt+OM6ktt0gmhDLFLq3XVYvfayUvOo09Cn+B9ZUIIIUS4ksRJCEGFvYKNlRuxGC1d5v6TN1a/gdVtBeD0/qfTL6EfOm89KXveBaC49zUgF/PtospRhVfxUpBaQK/YXmE/wIgQQggBkjgJ0e3ZPXbWV6xHURVizbGhDqdNlNnKeG/tewAYdUamjJwCQErRu+j9NpyRfahNPjGUIXZZZbYydFodQ9OGkmHJCHU4QgghRJuRxEmIbszr97K+Yj01rpouc18TwAvLX8DtdwNwUe5FpEWnofPUklr4NgAlWdLa1NZUVaXEVkKkIZIhqUNIiUoJdUhCCCFEm5LESYhuSlVVtlRtodBaSEZMRpfpTrWhYgOfb/4cgBhjDFcOvRKAtMI3AgNCRA+gRgaEaFN+xU9xfTEJkQkMSRlCfER8qEMSQggh2pwkTkJ0U7vrdrOlegspkSldZrQzVVV59KdHg8+vGX4NceY4AMozLkbvraMm5RRpbWpDXr+XYlsxPWJ6kJeSR7QxOtQhCSGEEO2ia1wtCSFapcxWxvqK9UQbo4kwRIQ6nDazcPtCVpetBqB3bG8uGnxRcJ3XnMaugf8MVWhdksvnosxeRlZcFrnJuV1mYBEhhBCiOZ3iZ9fnnnuO7OxszGYzI0aM4Icffthv2U8++YRTTjmF5ORkLBYLo0aNYv78+R0YrRDhrdZVy9rytQDB1piuwOVz8dSvTwWf33L0LYGWNMUXwqi6LqvbSoWjgv4J/RmSMkSSJiGEEF1eyBOn999/n+nTp3PXXXexcuVKRo8ezWmnncbu3bubLf/9999zyimn8NVXX7F8+XJOOOEEzjzzTFauXNnBkQsRfuweO2vK1mD32rvczfv//v3flNpKARiVOYpjex4LQJ8Nd9Fn7d8xOveEMrwuQ1VVymxlOLwO8lPyGZwyGIPOEOqwhBBCiHYX8q56c+fO5eqrr2by5MkAPPHEE8yfP5/nn3+eOXPmNCn/xBNPNHo+e/Zs/vOf//D5558zbNiwZl/D7XbjdruDz63WwNwuXq8Xr9fbRkfS/TS8d/Iedl771pHH72Ft+Voq6yvpYemB4ldCHF3bKbeX8/rq1wHQaXTcfMTNqIpKZP064iu+QUXDnl7Xohg71zE31EG41IVP8VFWX0asOZYByQNIjkzG7/Pjxx/q0NqFfMd1flJHnZvUT+cm9bPXwb4HIU2cPB4Py5cv54477mi0fNy4cSxduvSg9qEoCvX19SQkJOy3zJw5c7j33nubLF+wYAGRkZGtC1o0sXDhwlCHIFqwbx1p0VJKaQijaXuP73ocl88FwKmJp2LeYaZ4exHHuB4DoFB/PNs3RQDFIYxy/0pXh099aNBgxcpv/BbqUDqMfMd1flJHnZvUT+cm9QMOh+OgyoU0caqsrMTv95OamtpoeWpqKqWlB3ch8dhjj2G327nooov2W2bmzJnMmDEj+NxqtdKzZ0/GjRuHxWI5tOAFXq+XhQsXcsopp2AwSFedzqihjrKGZ7G9bjvJUcmY9KZQh9WmVpSsYPGqxQBYjBZuHnczceY4Yqt+IHn9GhSNgZphN9PD3CPEkTal+BVKV5eSVpCGVhfyntP75fA4qHZWkx2fTf/E/hh1xlCH1CHkO67zkzrq3KR+Ojepn70aeqO1JORd9YAm88eoqnpQc8q8++67zJo1i//85z+kpOz/fg2TyYTJ1PRi0WAwdPsPSluQ97HzUlUVgJ3WnSTHJHepEfQgMBT2wz89HHw+9YipJEQloFG89NrxJADlmRPxRWWG/obOA9DqtJ02capz1VHvrSc3LZd+Cf3QaXWhDqnDyXdc5yd11LlJ/XRuUj8c9PGHNHFKSkpCp9M1aV0qLy9v0gr1Z++//z5XX301H374ISeffHJ7hilEWFJVlV21uwCINcd2uaQJ4O01b7OjdgcAg5MHc96g8wBILvoQs3M3XkMCJb3/GsoQw1qVowqv4iU/NZ+suKwuM0myEEIIcShC+hOn0WhkxIgRTfpWLly4kGOOOWa/27377rtceeWVvPPOO5x++untHaYQYWlX3S7WV64HIMoYFeJo2l5xfTEvrXgJAK1Gy8zjZqLVaEFVSCz9IlAm+3oUvUzIeihKbaWoqAxNG0p2fLYkTUIIIbq9kHfVmzFjBpMmTWLkyJGMGjWKefPmsXv3bqZMmQIE7k8qKirizTffBAJJ01/+8heefPJJjj766GBrVUREBLGxsSE7DiE6C1VV2VW3izVla4g2RGPDFuqQ2sWjPz2K2x8YLfPC3AsZmDQwsEKjZePwV0kq/ZzK9LNCGGF4UlSFElsJUYYo8lPzSY5KDnVIQgghRKcQ8sTp4osvpqqqivvuu4+SkhLy8vL46quv6N27NwAlJSWN5nR68cUX8fl8TJs2jWnTpgWXX3HFFbz++usdHb4Qncq+SVOUIYoYQ0yXTJwW71rM97u+ByAxIpHrR17faL2qM1ORcWEoQgtrfsVPcX0xiZGJDEkd0qUmSBZCCCEOV8gTJ4CpU6cyderUZtf9ORlatGhR+wckRBhSVZWdtTtZUx5oaYo1x4bN/ECt4fA6+NfSfwWfzxg1g2hjoDuepWoJ1oRRoOl+AxgcLq/fS4mthPSYdPJS8oLvqRBCCCECOucwTkKIVmlImtaWrw0mTV3V078+Takt0EX3yIwjGddnHACxlYvpv2Y6A1f8FRRfKEMMOw6vg2JbMVlxWQxNGypJkxBCCNGMTtHiJIQ4dKqqsqNmB+sq1hFtjMZi6rpzk60oWcGH6z8EwKw3c+dxd6LRaND6nfTc8igA9XEjQStfbQer1lWLzWNjYOJAcpJy0Mt7J4QQQjRL/ocUIoypqsr2mu2sq1hHjDGmSydNLp+L+7+/P/h82hHTyLRkApC26xVM7hLcpjRKsq4JVYhhRVVVyu3laDQahqYNpVdsLxk5TwghhDgASZyECFOKqrC1eisbKjYQa4olxhQT6pDa1fPLnqfQWghAfmo+F+VeBIDZvp20wrcAKOx/K4qu681X1db8ip8SWwkxphjyUvJIidr/BOJCCCGECJDESYgw5Ff8bKrcxObqzcSb47v8PSlrytbwzpp3ADDqjPxzzD/RaXWgqvTa8jAa1U9t4mjqEseGONLOz+P3BAaBiE5ncMrgLt1KKYQQQrQlSZyECDM+xcf6ivVsrd5KSmQKEYau3cLi9rm59/t7UVEBuG7EdWTFZQGQUPYVMbXLUbQmCvv9HaSr2QHZPDaqndX0ie/DwKSBmPXmUIckhBBChA1JnIQII16/l3UV69hes53UqNRuceH7zG/PsLN2JwC5yblcNuSy4DpndH9sliHUJY7BE9EjRBGGh0pHJR6/h7yUPPrE9wm02AkhhBDioEniJESYcPvcrK9Yz47aHaRHp2PUGUMdUrv7ec/PvLv2XSDQRe+eMfc0GvXNGZ3DpmGvgNr15qtqK4qqUGIrIUIfwYgeI+gRIwmmEEIIcSgkcRIiDDi9TtaWr6XQWkiP6B4YdIZQh9Tual213LPonuDzm468ib4JfQHQ+F2ouj9a2zTawEM00TCpbXJkMoNTBhMfER/qkIQQQoiwJVcbQnRyNo+NVaWrKLQWkhGT0S2SJlVVuf/7+6lyVgFwTOYxXDz4YgC0PhuDf7uIjG1Po/G7Qxlmp+bwOiixldArthcjeoyQpEkIIYQ4TJI4CdGJVTurWV68nDJbGZkxmd1mctJPN37K4l2LAYgzx/HPsf8MzjGUue1JTK5i4iv+Dw3SRa85ta5aqp3VDEgcQEFaQZcfQEQIIYToCN3jKkyIMKOqKkX1RayvWI/b5ybTktltJifdWbuTuT/PDT7/55h/khSZBEBM9S8kl3waKDfgHzJn05+oqkqZvQydVsew9GH0tPTsNp8bIYQQor1J4iREJ+NTfGyt3sqWqi2YdKZudTO/y+fijm/uwOVzAXD+oPMZ03sMAFqfnd6bHgCgvMeF2OJHhizOzsin+CipLyE+Ip7c5FySo5JDHZIQQgjRpUjiJEQnYvPY2FCxgUJrIUkRSUQZo0IdUodRVZU5S+awtXorANlx2dxy9C3B9ZnbnsDkLsFt7kFRnxtDFWan5PK5KLOXkRGTweCUwV1+QmQhhBAiFCRxEqKTKLOVsaFiA7XuWjJiMrrN/UwNPt34KV9u+RKACH0Ej5z8SHCeqriK70gu+RQVDbsG/ANFHxnKUDuVWlctNo+NAYkD6J/Yv1sMUy+EEEKEQve6MhOiE/IrfnbU7GBT1SY0aMiM6T73MzXYULGBfy39V/D5P8b8g+z47OBzjeLBr42gIuNC6uOPCEWInY6iKpTZyjDoDAxNG0rP2J5oZVh2IYQQot1I4iRECNk8NjZVbmJ33W7izfHEmGJCHVKHs7qt3P5/t+NVvABcPPhixvUd16hMTep47JbBeE2poQix03H73JTaS0mOTCY3OZfEyMRQhySEEEJ0eZI4CREiJfUlbKjcgNVtJT06vVvMz/RnfsXP3d/dTbGtGIC8lDymHzV9bwHFB390WfREZIYgws6nzlWH1WOlT3wfBiQOkKHGhRBCiA4i/TqE6GA+xcemyk0sL16Ox+chMyazWyZNAE/9+hRLC5cCEGuK5aGTHgq+F5HW9eT9ej7RNctCGWKnoagKxfXFeBQPBakF5KfmS9IkhBBCdCBpcRKiAzm8DjZVbmJn7U4SIhK69ehnn238jLfXvA2ATqPj4ZMfJi06LfDca6XP+pmYXEUkF3/c7Ycebxg1LyUyhUHJg6RrnhBCCBECkjgJ0UHK7eVsqNhAlbOKHtE9um0rE8DykuU89ONDwee3HXsbI3v8kRypClkb78HkKsJt7sHunJkhirJzaBg1r19CP3ISc4IjDQohhBCiY0niJEQ78/g97KzdyZaqLQD0tHTv0c/2WPdw28Lb8Ck+AC7Nu5TzB50fXJ+261Xiqn5A0RjZNvgR/AZLqEINKVVVKbOXodPqKEgroFdsr279uRFCCCFCTRInIdqJqqpUOirZUr2FUlspiRGJ3bprHgQGNrhl/i3UuesAGJU5ipuPujm43lL9Ez12vgjA7pw7cMYMDEmcoeZTfJTYSog3xzM4ZTBJkUmhDkkIIYTo9iRxEqIdOLwOdtTsYGftTlRVJTMmE51WF+qwQsrlc3HL/FvYUbsDgOy4bOacNCc40a/RVUL2+rvRoFKRfi5V6WeFMtyQcXqdlDvK6WnpyaDkQd0+2RZCCCE6C0mchGhDfsVPcX0xm6s2U+euIzkymUhDZKjDCjmf4uP2/7ud38t/ByAxIpHHxz/eKCnw6WOxxh+JyVVEYb9bQxVqSDXczzQgcQA5iTnd+j44IYQQorORxEmINlLrqmVb9TYKrYVE6iPpZemFRqMJdVghp6gK939/Pz8W/ghAlCGKp097mkxL43mZFH0kO3Jno/XbUXWmUIQaMoqqUFpfilFnZFj6MHpaespnRwghhOhkJHES4jC5fC521+1mR80OXD4XaVFp0lLwB1VVefrXp/lyy5cAGHVG5o6fS05iTrBMTPXP1McfCRotaDQo+u7XNa3YWkxyTLIMNS6EEEJ0YpI4CXGI/IqfElsJ26q3UeWsIsGcIDfx/8m8FfN46/e3ANBqtDx4woOMSB8RXJ9Y8l+yNt1HdfIp7Mh9MJA8dSN1rsAgGb3jejModZBMaCuEEEJ0YpI4CdFKDaPlbavZRqmtlAh9RLcfYrw5Ly5/kZdWvBR8PvO4mZyQfULweXTNMnpvfhAAV2TvbpU0+RU/pfZSjBojAINTBmMydK/uiUIIIUS4kcRJiFaoc9Wxo3YHe+r2AJAenR4cFU7sNW/5vEZJ062jbuXcgecGn5vtO+i77jY0qp/qlHGUZF0XijBDwuVzUWYvIz06nX5x/Vi6Yakk3UIIIUQYkCs+IQ5CnauOImsRu627cXldJEclY9abQx1Wp/TSipeYt2Je8PnfRv2NS/IuCT43Oovpv3oaep8Vm2UIOwfcA91kIIRqZzUOr4MBiQPol9APrSoJkxBCCBEuJHESYj9UVaXKWUWRtYji+mJcPhcJEQkkRyaHOrROSVVVnlv2HK+tei24bMbRM7g079Lgc727kv6/T8PoKccZ2YetQx7vFiPo+RQfpfZSIvWRDE8fTqYlE41Gg9frDXVoQgghhDhIkjgJ8Sd+xU+lo5LddbsptZWioBBviiclKiXUoXVafsXPQz8+xKcbPw0uu+XoW5g4ZGKjchH2rRhdpbjNPdhS8Cx+Q1wHR9rxbB4bVc4qesT0YGDSQOLMcaEOSQghhBCHQBInIf7g9XupcFSwq3YX5fZydBodiRGJmPRdv0XkcHj8Hu7+7m6+3fEtABo0/P2Yv3PR4IualK1POJot+U/jMafhNXXtlju/4qfcXo5Wq2Vw8mD6xPeRYeqFEEKIMCaJk+j2XD4XZbYydtbupMZVg1FrJDUqVS5yD4LdY+fWhbfyW/FvAOg0Ou49/l5O7XdqsIzW50DvrcYTEZjw1hY/MiSxdiS7x06ls5K06DRyEnNkmHohhBCiC5DESXRb9e56SmwlFNYVUueuI8oQRY/oHui0ulCHFhZKbaXcMv8WtlRvAcCsN/PIyY9wTM9jgmW0Phv9f78Zo6uYzUPn4Y7sGapwO4SiKpTbywHITc6lT3wfjDpjiKMSQgghRFuQxEl0K4qqUO2spri+mJL6EuxeO7GmWHpZeqHpJiO7tYXfy37n1oW3Uu2sBsBisvDE+CfIT80PlgkkTTcSbV2DTxeNzmcNVbgdomGY8cSIRAYlD5J74oQQQoguRhIn0S14/B4q7BUUWgupsFegqApx5jjpQnUIvt76Nfd/fz8evweATEsmT4x/gqy4rGAZnddK/99vIKp+PT69hc0Fz+GMGRiiiNtfjbMGm8dG3/i+5CTmEGGICHVIQgghhGhjkjiJLs3msVFmK2N33W7qXHUYdAaSIpOk+9Qh8Ct+Xlj+QqPhxkekj+Dhkx9uNFKcwV1Ov99vItK+Fa8hji0Fz+GMzglBxO3Pp/gotZUSaYhkeI/AMOMyma0QQgjRNUniJLocn+ILdscrs5Vh99qxGC1kWDLkovYQVToqufvbu1lWsiy47NyB53LbMbc1GkTD5CgkZ/UUjO4yvMZENuc/iyu6XyhCbncNw4xnxGQwMGkgsebYUIckhBBCiHYkiZPoMurd9cHueLWuWjQaDXEm6Y53uJaXLOfOb+6kylkFBEbOu/mom7k079Im94V5jYl4DQkoWnNg2PGIHqEIuV3tO8z4kJQhZMVlyQiMQgghRDcgiZMIa4qqUOWoori+mFJbKQ6vgyhDFGnRaei18vE+HH7Fz5u/v8nzy55HURUAkiOTmX3ibIalD2t2G0Ufydb8J1E12i45uW3DMOOpUakMSBogSbkQQgjRjciVpQhLTq+TCkcFe6x7qHBUABBvipcL2TZSXF/MPYvuYWXpyuCyI3scyQMnPkBCRMLegqpC+q5XQFUoyb4OAJ8x4c+7C3sNw4yrqsqgpEH0ie8jEyMLIYQQ3YwkTiJs+BQfNc4ayu3lFNcXY/PYiNBHkBopk9W2FVVV+Xzz5zz202PYvXYANGi4etjVXDP8mkZzXGl9drI23kN85SIAapNP6JKDQDS0MiVHJpOTmENqdGqoQxJCCCFECEjiJDo1n+KjzlUXHOyhzl2HqqrEmmLpaekpcy+1oUpHJQ8teYhFuxYFl6VHpzPr+FmMSB/RqKzJUUjftX8jwrEdRWNgd87MLpc0+RRf4F4mjZZBSYPIjs/GrDeHOiwhhBBChIgkTqLTcflc1LnqqHJUUW4vx+qxoqgKUYYoUqNS5d6lNqaoCp9s+IRnfnsGm8cWXH5mzpn8bdTfiDZGNyofV/EdvTfdh95Xj8eYxLa8R3FY8jo67HbTMEmyw+ugR0wP+ib0lS6gQgghhJDESXQONo+NWlctFfYKKh2VOLwOAKKN0ZIstaOt1VuZ/cNsfi//Pbgs3hzPXaPv4vis45uUz9j2JGmFbwFgswxh2+B/4TN1naSi3l1PtauaBHMCucm59Ijp0ah7ohBCCCG6L7kaFSGhqAr17npqXbWU2cuocdbg8DowaA3EmGKIM8fJnEvtqN5dzysrX+Hdte/iV/3B5WfmnMnNR93caELbfTmj+gNQ2vMvFGdfj6rtGveWuXwuKuwVRBgiyEvJo1dsL+mWJ4QQQohGJHESHUJVVRxeB1a3lTp3HWW2MmweGx6/B5PORIwphsSIRLlnqZ35FB+fbfyMF5a/QK2rNri8V2wv7jzuTkb2GNl4A1XB6CrGE5EJQHXaBJzR/XFG9+/AqNuPT/FR6ahEURV6x/WmT3wfmchWCCGEEM2SxEm0G4fXQb27HqvbGkiUvDZcXhcajYZIQyTx5ngZ0rmDqKrKj4U/8tQvT7GtZltwuUln4i8Ff+HKgiub1IXRuYesjfdhduxi3ZHvB+dl6gpJk6qq1LpqqffUkxqdSt/4vqREpUjiLoQQQoj9ksRJtBmf4sPqtgYSJXsZta5aXF4XAGa9mWhDNEkRSXJx2sHW2tZyz1f3sLpsdaPl4/qO46YjbyItOq3xBqpCStH7ZGx/Bq3ixq+NILJ+I/UJR3dg1O3H7rFT5azCYrIwPH04PWJ6yHD2QgghhGiRJE7ikPkUHwB7rHuweq1UOauwe+z4FB9mvZkoQxSJZul+Fyprytbw/LLn+bX410bLc5Nz+duov1GQWtBkm0jrenpueYTo+rUAWOOOYNeAu/FEZHRIzO3J4/dQ7ijHoDUwIHEAWfFZRBoiQx2WEEIIIcKEJE7ioPkVPzaPDavbSrWzmor6CgBWlazCYDAQYYggJSpFRsALIVVV+XnPz7y++nWWlyxvtC4rLospI6ZwYvaJTQfeUFV6bnmY5OKP0aDi10Wxp+9NVKafB2Ge+PoVP1XOKjx+D5mWTLLjs0mISAh1WEIIIYQIM3KFK/bLr/ixe+3Uu+upcdVQ6ajE7rHj8XswaA1EaCMAyIzNRKuTEfBCyaf4+GbHN7yx+g02V21utC7VmMqUo6YwIWfC/ofW1mjQKl40qFSlnMaevjeH/TDjqqpS46qh3lNPcmQyfRP6khadJqM1CiGEEOKQSOIkgMCFt9PrxOlz4vA6qHPVBScB9fq9aDVaooxRJEQkYNQZAVD8CjZsLexZtKcKewWfbPyETzd+SqWjstG6XrG9uDzvcobVD6N3/95otfskDKpKXOW3uCKzcUX1AaCozw1UpZ2OLW54Rx5Cm1NVlTp3HXXuOmJNsQxPH05GTIbcxySEEEKIwyKJUzfkV/w4vA7sXjt2j51qZzVWtxW3343X70VVVQw6A2a9uVGiJDoHVVVZUbqCD9d9yHc7v2s0DxNAblIuVw69krG9x6JRNRSvKG60PrpmGZnbnyaqfh21iaPZNuRxAHzGeGzG+A47jra2b8JkMVooSC0gw5Ih8zEJIYQQok1I4tTF7ZskObwOapw11LnrcPlcePweUMGoMxJhiCDOFIdRZ5TBHDqpUlspX235iq+2fsXO2p2N1uk0Osb0HsPFgy9mRPqIYB0qfiVQQFWJqf6F9F2vEFO3AgC/NgJH9ABQFQjj7muqqmJ1W6l112IxWshPyaeHpYcM/CCEEEKINiWJUxehqioevweXz4XT58TpdVLrqg0MCe5z4fa7ATBqjZj1ZkmSwoTdY+fbnd/y5eYvWV6yHBW10fqEiATOHXgu5w08j9To1Gb3keRfzaDVdwdHylM0BirTz6Gk99VhfR/TvglTjDGGISlDyLBkSMIkhBBCiHYhiVOYUVQFl8/V6FHvrqfOXYfb58bj9+D1e0EDBm2gu53FZMGkM0mSFCZsHhtLdi/h253f8uPuH4NJ776Gpw3nvEHncWL2iS12pYxRComuX4uiNVGRfh5lvSbhNaW0V/jtTlEV6lx1WD1WLEYLeSl5ZMRkEGWMCnVoQgghhOjCJHHqhBRVweP34Pa5g8mR0+ekzl2Hw+MIrPO7UZRANyyDzoBRZ8SoMxJjjJGb4MNQrauWxbsW8+2Ob/m16Fe8irdJmV6WXkzoP4EJ/SfQI6ZHs/sxOotILv4IR/QAalJPBWCX/hQS06Ay80J8xsR2PY725PV7qXHV4PK5iDXHUpBaQHpMurQwCSGEEKJDSOLUCWyv3o7DFxi9zu1z4/Q58SpevH5v8AJagwaTzoRBZyDKEEW8OX7/Q0uLTs+v+FlfsZ6le5by056fWFe+rkk3PIA4cxwnZZ/EGf3PIC8lr9lWQ43iIa5yEUkln2GpCUx264zqS03KeAAUjYni3teG7ZDxdo+dGncNGjQkRybTM7YnyZHJmPSmUIcmhBBCiG5EEqcQ8yt+dtTuoM5Vh0lvQq/Vo9fqMevMWIwWaT3qIlRVpdBayIqSFfxa/Cu/7PmFOndds2VTolI4IesETsw+kYLUgv1OKBxpXUdC2dcklP8Pg7c2uNwafxTlGRe3x2F0GL/ix+q2Uu+pJ8IQQe/Y3mTEZJAYmSjzMAkhhBAiJCRx6iTiI+KxmCyhDkO0EVVV2VG7gxUlK1hespyVpSubzLO0r34J/Ti257GckHUCucm5B5UcpO1+g/jKbwHwGJOpSj+LyrSz8ERk7BvJ4R5Kh2oY1MSreIk1xzIkZQip0anEmGJCHZoQQgghujlJnIRoA3WuOtZXrGddxTrWVaxjbflaalw1+y0fZYjiqMyjOCbzGEZljtrviHiofqKs64mt+p64ysVsG/wI7qgsAKrSzkTRGqlOPRVr/NGwn5apzs7j92B1W3F4HZj1ZtJi0ugR04OkyCSZQ0wIIYQQnUZ4XmkJEUK1rlq2Vm9lY+VG1leuZ33FevZY9xxwm0hDJENThzIsfRjD04czOHnwfrvgaX12LDW/EFv1A7FVSzB49yZgCRULKIm6FoC6pNHUJY1uuwPrQF6/F6vbit1rx6A1EGeOIycxh8TIRGKMMTICpBBCCCE6HUmchNgPj9/DrtpdbK3ZypaqLWyt3sqW6i1UOCpa3NZislCQWsCI9BEMSx/GgMQB+02U9hVRv5FBK65Ao/qDy3y6aKwJo6hLHE1t0pjDOqZQcvvc1HvqcXgdGLQGYs2x9InvQ2JkIrHmWLl3SQghhBCdmiROoltTVIVyezm763azq25X4N/aXeyq20WJrQRFVVrch0lnYkDSAAYnD2Zw8mByk3Ppaem531YTrc9GlHUt0dY1RNetxBE9kKK+NwHgiuqDqtHjNvcIJEqJY7DFDg3LbniqquL0ObF5bDh9Tkw6E7GmWPol9CMhIgGLySIjQwohhBAibITf1ZgQraCqKnXuOkrqSyixlVBcX0yprZRiWzEl9SUUWgtx+VwHvb8YYwz9E/rTL6Ef/RP7k5ucS9/4vgduTVJVkko+I8q6hijrWsyOHWj2GbTB4K4MJk6q1siao/8btvMtefweHF4Hdq8dv+In0hBJfEQ8g6IHEWeOw2KySMuSEEIIIcKSJE4ibCmqQo2zhgpHBZWOykaPhuSo1FaKw+to9b4jDZH0ju1N79je9EvoF0iUEvqTEpWy35YknddKhH0LEbYtaP0uynpfGVih0ZC6+w3Mrr33QbnMmdgtQ7Bb8qiPP6LRfsIpafIpPuweOw6vA6/ixagzEm2Mpm98X+Ij4ok1xRJpiJR7loQQQggR9iRxEp2Ky+eizlVHrbuWWldt4G9XLTWumibJUbWzGv8+9wK1lk6jI8OSEUyQesX2oldsL7LiskiMSGzxYj++bD5R9WsxO3Zhtm/H5C4NrvProijrdQX8sY/K9HPQ+e3BZMlnTDjkuEPJ4/fg9Dpx+px4/B70Wj2RhkgyYzNJjEgkxhRDjDFGuuAJIYQQosuRxEm0Oa/fi81jo95Tj81ja/ZR564LJkUNSVKtq7ZV3eZaYtQZSYtKIz0mnfTo9OC/PWJ6kB6dTlJkUrMX+FqfHaN9GyZXCUZXMUZ3KSZXMXpPDZuHzQuWSyz7itjqHxtt6zal44zujyM6B43iQdWZAPa2PoURt8+N2+/G5XPh8XtQUTFoDUQYIsiwZBBvjg8mSjJRsxBCCCG6OkmcQkhRYPNm2LgDYqJhUB/QtkGPJkWFwkKw2SA6Gnr23P9+/Yofp8+Jy+fC4XXg8DrZVeSkxuZEY3QSFevE5XNiczv5fUNguTHSSXIPJ7X1TpyOKuzbvXiwYXXZsftseBX34R/EAWg1WmINCUSSRIw+icz4ZHonJ6F1JeKqScKiSyIvOw1XTQI11VoUL/SJhziLj97J1dQUVlGzbjMVylL81io+r7iatHQNp0+AnM0zSahYuP8Xd9XiM8Tx269QWHsiSZps6vW9qNZkEZPVn/Q+Mft9r/9cLxkZUFS093mPdPj1N9i0CcpKISUVBg6Eo44KbP/br1BRCX4fRERAbS0kJUGfvoH127cDKkREQqwlsE+UwEleWAgZPfe+XkQElJRAVVUg0c3s7cYU6careKh3+IiMhN6ZBiIMZhIjE4k3xxNtjCbSEEmUMeqgRgjsSIoCW7dCXR3ExkK/fqCVW6lEKzT3GRJCCCH21bmufrqRlSvhlTfc/L6tjHJzGQajQs8eVYwe46NXbz8+xdfo4fF78Pg9uP3uwL8+d5NlHr+H8io3O/d4qLe78eEBnQdjhJvoOA9afeOyDd2tWkUDOIFtbfde6DQ64sxxxJpjiTP98a85Dr89jt1bYqkvj0N1xRFFEokRSbhq49m1XYPWX48xwoomtg5ndB0WQx2phlLiTJu4+YHJKKoWVYVHz5jL6bqvSYqqRbvjj0EZdH88EuGKJy+i3m3hmafh3WviODUVqp2x7KpJY0dVD3bVpFFYl06RLYPfnjDj9AWSD6fzbJQ/dmcyQlwcFBTApL/AwAGNj3HjJvjiC9i5A9we8HrB4wajCQwGqLdCaRk4HeDfp/ehThfYr8EItnpwOsGvACpotKDTBhKEhiTBrwSqyGgKxBQTBU/MhAfmeKl3+NGbvdjsXipq3fj8flS/Bo2qR6uaiNBHEqlLIzHGQlJcBIP6RXDVpEiOGNG5vyZWroQ33oANG8DlArMZBg2CK66AYcNCHZ0IB/v7DE2aFOrIhBBCdCad4oroueee41//+hclJSUMHjyYJ554gtGj9z+x5+LFi5kxYwbr1q2jR48e3HbbbUyZMqUDIz48K1fCfffBFmUR60aeGly+Fvh6BbDiMF/AAMQ1XlRpO8x9HoiqAW8UWl80EdpotP5onLUxaLzRJERHYzFHofVE4rOZSIgwMn6MgdyeZuL1JsxJI4k2RqPRaLBU/4TZvg2dz05dpZ1tO2owxOwhPs1OtNHBtd+8wG+/6nG74d3LZ3JB3v5bhh777hJqnLGgAbPBS0p0YBJZn19HmS2B0vpESqxJlFiT0KHgV6C2Di577jo02htw+qNwukBVAgkKBFrtGpIane6PBOYPbg/UWeGnn6CyEm6ZsTd52rgJXn4p0EKUkgJuN6zfAHYbREVDYgLs3AU+b9Pj8PsDrULB19wnqVIVFR9+UH2Bh96HzuRD1fjw4MOpqIEsCg3F1dXU1RnQawy4bLH4HRZUTyQafwQ6zHidZrx+I2q0BlMCZEbD2uUwexf885+dNwFpOJcqKyEzE6KiwG6H5cthVyePXXQOB/oMFRfDZZeFOkIhhBCdRcgTp/fff5/p06fz3HPPceyxx/Liiy9y2mmnsX79enr16tWk/I4dO5gwYQLXXHMN//73v/nxxx+ZOnUqycnJnH/++SE4gtZRlMAvm5WV0LvAwLoOel2NqsOAniiTAZPOgFGrx2SKI0IfgVlvxlbsQudSiDXridDoiNDoMaPFVqFF6zPw1dpTMWoj8DoiuCT3O4YkFxOjUzkp38nOrQaiLV4MGjdGg58LPnmZmkCewmsX3864Ph+j0+yTZfiAHYE/l6f/HBxAIbH0cxLKFwDQAxj0p+p31trx+2NRVah1xgJQ746k2mGhyh5LtTOWKkcs1Q4L+454Pff7y5j387nsqU2iyh6Lov5xX5Mm8NKqwh8JBlTb44BAkgKgNwBqIEnaN2nx+/9o6dEF1vv8gVYksxl27Q60LuXkBMp+8UUgacrKDjzftg0UPyQng7Uetu7w4/OroPODRgGNH3QKoIDGF1im9ePX+gMvti9FD4oOVD349aDEoPFFgDMSVTWhc2uBlXi3jyIzPpIdW0yoihaDHny+P44F0P6xZ48n8It7UREcfTRs3AhvvhloSetsXd/2PZcGDQp+jLBYAs83bOi8sYvOoaXP0LZte8sJIYQQIU+c5s6dy9VXX83kyZMBeOKJJ5g/fz7PP/88c+bMaVL+hRdeoFevXjzxxBMADBo0iGXLlvHoo4/uN3Fyu9243Xvvu7FarQB4vV683mZ+5m9HW7cGHllZ4NMmkO06m0Fx/0e0zo1RAwaNikGjYtKqGFDRGOOoST8Po86ISWeid9G/sfiqMGsIPLQE/7a5k5j9+9NER5jQqkbuGXgLg6K3YNKAXuMncIkceB+8hgRWHf02ELj/pY/zOoYm/d404L5g95hJW/gIBgPovfCX7NcZ139psMiAP90L4HL4SIgLdJPz+2mUNCmqBrffhNZoBoMJfC4UXSQA9TEFqKqWOlckP6+Iwq+LxKeNxuWPpNoeRY3ViNmoEBkBs769kUd+nU5FlRGvL3DBo6h7W4hUFSIiFFBV9tjSARUUMJn/SEhQA9mCRm0I7I+//3iuAa1W/SMBU1EUFVUN/I0msL1WBxqdCiioqoqCiskSWL9xF6zYpKCoKjvKVBJ6gccY6Grn0kN0uga9TsVkAJdOg0HRBVruVB2oWkD7RyJkAr8JvAbwmUAxoEEPih7VH/gXv+GPBEqPVqNF05AQqqC1Bz7fZm0EPqcesynwOdBoAkmeqgYSKP0f3wSKApGRgeTJ6Qx8TrdsCdx31dnu+dj3XDI0MzZFZ469QcP3T0d/D4mAlj5DvXoF6mXLFi8DBjRdL0JPzqHOTeqnc5P62etg3wONqqpqy8Xah8fjITIykg8//JBzzz03uPzmm29m1apVLF68uMk2Y8aMYdiwYTz55JPBZZ9++ikXXXQRDocDQzP/+82aNYt77723yfJ33nmHyMjINjqaQ3ey41qi1PJm19VrMvg28tng8xMcN2FRdwefq2hQ0aKixalJ5pvI54LrjnbdR6yyI7g+8NChosWjiWFJxN7ENNfzJjHKbhT0KOhR0aFo9CgY8GNknemqYNkevh+JVMr/WB94+DUm/BjxY6JCVxDs32ZUa9GoCn6NEQUTCvq9P+sKIYQQQggRYg6Hg4kTJ1JXV4fFYtlvuZC2OFVWVuL3+0lNTW20PDU1ldLS0ma3KS0tbba8z+ejsrKS9PT0JtvMnDmTGTNmBJ9brVZ69uzJuHHjDvjmtIetW+Hvf4f4+EB3EIClER+Cxo2CFrtdR229jmnTtGT21KFqDAwxxge3r/L/j0oNgA40umASsnMXzJ4dGE0tKjpQ9mM+DG5ntwXuwbnrTg1ZWYFl+X+s27kTrn/wUWJj/xiJ7Q/btwf6+Wu1gZcxGgNduTSafDRoMBj8vPLEWm75Zx4RkTp8PnDYA9tGRgEqeDwahg2DmJg/4rAHRq26+27IzmqaQGk0GnbsgPvvDwyKEB0VKGOth19/DRyHVguoGmJjoaYm8Bp7W5w0gRYn5Y99q4HnqJpAi5Ha8JqavfM0qZo/ymsardfpNGg1geV+Hyj+hjJaUDXo9ZpgFzBFCTySkwPPs7Ph2T/y3X3ru64Ofvkl8F4aDIHn5X/kzPv+hKH9o9WsuZ819n3N5tbt2+IUHe3lhRcWMnXqKRiNBioqGt7nva/x5xanlJRAV8WjjgqUq6mBf/2r87XaNHcu7ctq7byxN/B6vSxcuJBTTjml2R99RPtq6TPkcHg555yF9O17CgMGSP10RnIOdW5SP52b1M9eDb3RWhLyrnpAk4lGVVU94OSjzZVvbnkDk8mEyWRqstxgMHT4B2XAgMBF3PLle/vU19aPAQIXsRs2wMiRMOrI1t2XkZUA/+3ZeL8NVBV2bA3sd+ywpvvtHQ//6RXYNnGfbQekw2+14HQHLvL1UeD5Y9S3QCLlBdbiq+mF323AWhcYHhugojDwb0oKJJlA4w3Esf2POEYP3f/xZcTC4N6NjyXRBHF6qK4OJG8xMWCMAtUOrvrABX8wD1L/6Lr3xzKDIfB3wz09DRoSjD9vC4FEwq0E/m3ocvjnREWnCzwakg+DARyOwDb5+QS79uxb35GRgS5ylZWBIY8df7yfHk/TxKm5xOjP9fpnDR9nny+wj4ZE2O02EB1twO0O7Fevb/x+uN2B/RmNgZiSkwNDlm/cGKivAQM6331CzZ1LDVQ18INAZ439z0LxXSRa/gzt/qNxv39/qZ/OTs6hzk3qp3OT+uGgjz+klxNJSUnodLomrUvl5eVNWpUapKWlNVter9eTmJjYbrG2Fa02MExyUlIgSbJaAxewVmvgeVIS/OUvrb/QO5z97m9bux1SUwPrGy7uDYa9iULDRYbRGBh9SqeDvn0D8xN5vYFHjx6BbVtzfM3F4/cH9qvX721NcbsDiUhDHFptIBlpSIb23V9DkrHv0N2q2jQ50WgCCUNEROC5x7N3UAj9Pj8z6PWBbb3eve+F0Rj4OycnEH/Da+17LPX1gfdIpwu8ZwYDDB7c9P6K5pKmhiSupZaofY+1QVRUYN6mmJjAfvz+xkliw99GI5hMgfd648ZD/zx2hPY6l0T30dJnqOG/FPkMCSGEgBC3OBmNRkaMGMHChQsb3eO0cOFCzj777Ga3GTVqFJ9//nmjZQsWLGDkyJFhky0PGxYYJrlh3pDi4kArxMiRgQu9Qx0++XD2u79tzzsvcCHx3nuBbmWKEriIMJkIdvnLyAhckJvNga5RZjOcemrgYryqKtAdprXHt794zjgj0Oq0fj3BkfuSkvZ2I2yYg6XhHr+G1iKzGdLTA7FbrYFR7lyuQBmNJpDIxMfDxRcHYv7xx8B2LldgHzpdIPmIiws8r6sLJJYNCY7ZDAkJcNxxcOutjY/xz8ficgUmJW6I1WgM/PLdMDnuvi1Ben2g9cdoDMRst+9NerTava1ewXmc/mgNjIkJ1FFD96OsrEB8ZnNgP3v2BN4vJTB+BiZT4PiiogLvp6oe/uexI7TXuSS6jwN9hi6/PHCuCCGEENAJuurNmDGDSZMmMXLkSEaNGsW8efPYvXt3cF6mmTNnUlRUxJtvvgnAlClTeOaZZ5gxYwbXXHMNP/30E6+88grvvvtuKA+j1YYNCwyT/OeZ6g/3l83D2e+Btn3sMXjrrUDXlV69AnOb7NgBmzfDCy9A//6Be6L23Q4O7/j2Fw8EXnft2sDfeXmB5Vu37l02cGAgESktDSQHubmBX4/79NlbzusNDDfs8UDv3oHJLo3GQPmG/Te0lun1gdazk04K7P+bbwIXWD5fIDnR6QJx5OQ0f4zNHUufPo3fs6yswH5XrgzEnpkJw4fDKac0fc2oqEB3v/T0QIsVBJLJwH1NgSQpNjYQ/9atTesoKiowz9G+70/8H7fS1de33eexI7TXuSS6j/19hvx+SZyEEELsFfLE6eKLL6aqqor77ruPkpIS8vLy+Oqrr+jduzcAJSUl7G7oaA5kZ2fz1Vdfccstt/Dss8/So0cPnnrqqbCYw+nPtNq9c/10lv3ub1ujEa6+uvGyfv0CCUa/foHEorntDvf49hfPwIGBx4GW5eU1v8/mtv3za7ZUZvz4/a870H7/fCx/fn7aaYHHobxmbm7TZV5v4GKwuTpqrny4aq9zSXQfzX2G9p27TQghhAh54gQwdepUpk6d2uy6119/vcmysWPHsmLFinaOSgghhBBCCCECpDOLEEIIIYQQQrRAEichhBBCCCGEaIEkTkIIIYQQQgjRAkmchBBCCCGEEKIFkjgJIYQQQgghRAskcRJCCCGEEEKIFkjiJIQQQgghhBAtkMRJCCGEEEIIIVogiZMQQgghhBBCtEASJyGEEEIIIYRogSROQgghhBBCCNECSZyEEEIIIYQQogX6UAcQCqqqAmC1WkMcSXjzer04HA6sVisGgyHU4YhmSB11blI/nZvUT+cnddS5Sf10blI/ezXkBA05wv50y8Spvr4egJ49e4Y4EiGEEEIIIURnUF9fT2xs7H7Xa9SWUqsuSFEUiouLiYmJQaPRhDqcsGW1WunZsyeFhYVYLJZQhyOaIXXUuUn9dG5SP52f1FHnJvXTuUn97KWqKvX19fTo0QOtdv93MnXLFietVktmZmaow+gyLBZLtz/hOjupo85N6qdzk/rp/KSOOjepn85N6ifgQC1NDWRwCCGEEEIIIYRogSROQgghhBBCCNECSZzEITOZTNxzzz2YTKZQhyL2Q+qoc5P66dykfjo/qaPOTeqnc5P6ab1uOTiEEEIIIYQQQrSGtDgJIYQQQgghRAskcRJCCCGEEEKIFkjiJIQQQgghhBAtkMRJCCGEEEIIIVogiZMQQgghhBBCtEASJ7Ff33//PWeeeSY9evRAo9Hw2WeftbjN4sWLGTFiBGazmT59+vDCCy+0f6DdVGvrZ9GiRWg0miaPjRs3dkzA3cycOXM44ogjiImJISUlhXPOOYdNmza1uJ2cQx3jUOpHzqGO9fzzz5Ofn4/FYsFisTBq1Ci+/vrrA24j50/HaW39yPkTWnPmzEGj0TB9+vQDlpNz6MAkcRL7ZbfbKSgo4Jlnnjmo8jt27GDChAmMHj2alStXcuedd3LTTTfx8ccft3Ok3VNr66fBpk2bKCkpCT769+/fThF2b4sXL2batGn8/PPPLFy4EJ/Px7hx47Db7fvdRs6hjnMo9dNAzqGOkZmZyUMPPcSyZctYtmwZJ554ImeffTbr1q1rtrycPx2rtfXTQM6fjvfbb78xb9488vPzD1hOzqGDoApxEAD1008/PWCZ2267TR04cGCjZdddd5169NFHt2NkQlUPrn6+++47FVBramo6JCbRWHl5uQqoixcv3m8ZOYdC52DqR86h0IuPj1dffvnlZtfJ+RN6B6ofOX9Co76+Xu3fv7+6cOFCdezYserNN9+837JyDrVMWpxEm/npp58YN25co2Xjx49n2bJleL3eEEUl/mzYsGGkp6dz0kkn8d1334U6nG6jrq4OgISEhP2WkXModA6mfhrIOdTx/H4/7733Hna7nVGjRjVbRs6f0DmY+mkg50/HmjZtGqeffjonn3xyi2XlHGqZPtQBiK6jtLSU1NTURstSU1Px+XxUVlaSnp4eosgEQHp6OvPmzWPEiBG43W7eeustTjrpJBYtWsSYMWNCHV6XpqoqM2bM4LjjjiMvL2+/5eQcCo2DrR85hzremjVrGDVqFC6Xi+joaD799FNyc3ObLSvnT8drTf3I+dPx3nvvPVasWMFvv/12UOXlHGqZJE6iTWk0mkbPVVVtdrnoeAMGDGDAgAHB56NGjaKwsJBHH31U/tNqZzfccAO///47S5YsabGsnEMd72DrR86hjjdgwABWrVpFbW0tH3/8MVdccQWLFy/e78W5nD8dqzX1I+dPxyosLOTmm29mwYIFmM3mg95OzqEDk656os2kpaVRWlraaFl5eTl6vZ7ExMQQRSUO5Oijj2bLli2hDqNLu/HGG/nvf//Ld999R2Zm5gHLyjnU8VpTP82Rc6h9GY1G+vXrx8iRI5kzZw4FBQU8+eSTzZaV86fjtaZ+miPnT/tZvnw55eXljBgxAr1ej16vZ/HixTz11FPo9Xr8fn+TbeQcapm0OIk2M2rUKD7//PNGyxYsWMDIkSMxGAwhikocyMqVK6XpvZ2oqsqNN97Ip59+yqJFi8jOzm5xGzmHOs6h1E9z5BzqWKqq4na7m10n50/oHah+miPnT/s56aSTWLNmTaNlf/3rXxk4cCC33347Op2uyTZyDh2EUI1KITq/+vp6deXKlerKlStVQJ07d666cuVKddeuXaqqquodd9yhTpo0KVh++/btamRkpHrLLbeo69evV1955RXVYDCoH330UagOoUtrbf08/vjj6qeffqpu3rxZXbt2rXrHHXeogPrxxx+H6hC6tOuvv16NjY1VFy1apJaUlAQfDocjWEbOodA5lPqRc6hjzZw5U/3+++/VHTt2qL///rt65513qlqtVl2wYIGqqnL+hFpr60fOn9D786h6cg61niROYr8ahg798+OKK65QVVVVr7jiCnXs2LGNtlm0aJE6bNgw1Wg0qllZWerzzz/f8YF3E62tn4cffljt27evajab1fj4ePW4445Tv/zyy9AE3w00VzeA+tprrwXLyDkUOodSP3IOdayrrrpK7d27t2o0GtXk5GT1pJNOCl6Uq6qcP6HW2vqR8yf0/pw4yTnUehpV/eOuLyGEEEIIIYQQzZLBIYQQQgghhBCiBZI4CSGEEEIIIUQLJHESQgghhBBCiBZI4iSEEEIIIYQQLZDESQghhBBCCCFaIImTEEIIIYQQQrRAEichhBBCCCGEaIEkTkIIIYQQQgjRAkmchBBCCCGEEKIFkjgJIYQQh6GqqoqUlBR27tzZqu2uu+46Jk6c2OZlD8UFF1zA3Llz223/QgjRFUjiJIQQosvYs2cP119/Pf369cNsNpOamsq4ceNYs2YNAKqqEhcXx9NPP91k2xtvvJHhw4cDkJ+fzz333NPsa8yePZv4+HgqKioAmDNnDmeeeSZZWVmtinXOnDm89NJLrS47ffp0zjnnnFa9Vkv++c9/8uCDD2K1Wtt0v0II0ZVI4iSEEKJL2LlzJ8OGDaOyspK33nqLjRs38tFHH5Gbm4vJZAJg27Zt1NXVMXLkyCbbL1u2jBEjRgCBxKkh2dpXaWkpc+bM4d577yU5ORmn08krr7zC5MmTWx1vQkICUVFRrS7722+/ceSRR7b69Q4kPz+frKws3n777TbdrxBCdCWSOAkhRDfy7rvvYjabKSoqCi6bPHky+fn51NXVtclrHH/88dx4441Mnz6d+Ph4UlNTmTdvHna7nb/+9a/ExMTQt29fvv7660bb/e9//+O4444jLi6OxMREzjjjDLZt2wZARUUFaWlpzJ49O1j+l19+wWg0smDBAgCefvppoqKieP/99xk1ahRZWVmMHj2aJ554gpycHACWL1+OXq9n6NChjV7b5/OxevXqYOI0ZMgQ1q5d2+TY7rzzTnr37s3UqVMB+Prrr9Hr9YwaNSpYJiUlhZdffrnRdr/99hsmkyl4PDt37kSj0bBr1y4URWH27Nn0798/2Eo2adKk4Lb7ljUajSxdupS77roLjUbDUUcd1WJ9lJWVodFoePLJJxk2bBhms5nBgwezZMmSRuXOOuss3n333Rb3J4QQ3ZUkTkII0Y1ccsklDBgwgDlz5gBw7733Mn/+fL7++mtiY2MblZ09ezbR0dEHfPzwww/Nvs4bb7xBUlISv/76KzfeeCPXX389F154IccccwwrVqxg/PjxTJo0CYfDEdzGbrczY8YMfvvtN7755hu0Wi3nnnsuiqKQnJzMq6++yqxZs1i2bBk2m43LL7+cqVOnMm7cOABqampwuVzs3r17v8e/fPlycnNziYiIaLR83bp1OJ3ORonTtm3bcDqdwTIrV67kjTfe4KmnnkKv1wPw/fffN2m9ysvLY926dY2WzZw5k2uvvZa+ffsCsGrVKuLi4ujduzdz5szhnXfeYd68eWzatIlPPvmE448/PrhtQ9mePXsGk51Vq1ZRUlLC/Pnz93us+8YN8Nxzz/H444+zevVqsrKyuOyyy1AUJVjuyCOP5Ndff8Xtdre4TyGE6JZUIYQQ3crnn3+umkwm9cEHH1Tj4+PVtWvXNluuqqpK3bJlywEfDoejyXZjx45VjzvuuOBzn8+nRkVFqZMmTQouKykpUQH1p59+2m+c5eXlKqCuWbMmuGzq1KlqTk6Oetlll6l5eXmq0+kMrlu+fLnaq1cvVaPRqCNGjFBvv/12dd26dY32eeKJJ6pXXXVVk9d6+eWXVYPBoLpcLlVVVXX37t0qoC5fvjxYZsyYMer555/faLuzzz67yf5uuukmddy4ccHn8+fPV6Ojo9WysrLgslmzZqljx45VVVVVR48erd522237fR/2Lfvpp5+qiYmJ+y3bnIceekg1GAzq9u3bg8uWLVumAuru3buDy1avXq0C6s6dO1u1fyGE6C6kxUkIIbqZM844g9zcXO69914+/fRTBg8e3Gy5hIQE+vXrd8DHn1tuGuTn5wf/1ul0JCYmMmTIkOCy1NRUAMrLy4PLtm3bxsSJE+nTpw8Wi4Xs7GyARi1Ijz76KD6fjw8++IC3334bs9kcXDd8+HC2b9/Od999x6mnnsonn3xCQUEBn376abDMihUr9nt/0+DBg4P3QvXs2ZO4uLjgfU4fffQRv/32G4899lij7ZxOZ6MYoHGLk6qq3Hnnnfz9738nJSUlWGbVqlUUFBQAgS5yjz76KOPGjeOFF16gurq60f72Lbty5crg3wdr1apVnHfeecH3Ewge574a6nLfVkAhhBB7SeIkhBDdzPz589m4cSN+vz+YwDTncLrqGQyGRs81Gk2jZRqNBqBRV7EzzzyTqqoqXnrpJX755Rd++eUXADweT7DM9u3bKS4uRlEUdu3a1eR1dTodY8eO5YEHHmDdunWkpKTwzjvvAFBYWEhtbS2DBg1qst3//d//ccwxxzRa1nCfk9vt5rbbbuO2226jd+/ejcokJSVRU1PTZLuioiKsVisffPABe/bsYcaMGY3KrF69Onif1a233sqGDRs4+eSTefrpp+nXrx87duxotuy+SdTBWrVqVZN7ulasWEFSUhIZGRnBZQ0JW3Jycqv2L4QQ3YU+1AEIIYToOCtWrODCCy/kxRdf5L333uMf//gHH374YbNlp0yZwkUXXXTA/e174X04qqqq2LBhAy+++CKjR48GaDJ4gcfj4bLLLuPiiy9m4MCBXH311axZs2a/yZ+iKLjd7mAi4PV6gaYtKgsXLmTr1q288sorjZY3JE5z587F7/dz++23N3mNYcOG8e9//7vRsry8PDQaDatXr+Yf//gH99xzD9HR0cH1VquVnTt3NkqAcnJyuO2227j55puJjY1l/fr1ZGdnNym7Zs0azj333P2/kX/idDrZsmULfr+/0fvy5JNPcsUVV6DV7v39dO3atWRmZpKUlHTQ+xdCiO5EEichhOgmdu7cyemnn84dd9zBpEmTyM3N5YgjjmD58uXBQRH2lZCQQEJCQofEFh8fT2JiIvPmzSM9PZ3du3dzxx13NCpz1113UVdXx1NPPUV0dDRff/01V199NV988UXweE488URSU1PZvn07s2fPRlXVYGtPdnY2AwcOZObMmRiNRpKTk/nll1+46667uPzyyxkzZkyj1xsyZAgffPABP/74I6+++mqz3RLHjx/PzJkzqampIT4+HoDo6Gh69+7NbbfdBsA111zTaJvVq1ej0+kYPHgwjzzyCKmpqRxxxBHodDpefvll4uPjg61f+5aFQNLz+++/U1xcTFRUVJMBPf5szZo1aDQa/v3vf3PiiScSFxfHP//5T2pra7n77rsblf3hhx+CA20IIYRoSrrqCSFEN1BdXc1pp53GWWedxZ133gnAiBEjOPPMM7nrrrtCHB1otVree+89li9fTl5eHrfccgv/+te/gusXLVrEE088wVtvvYXFYkGr1fLWW2+xZMkSnn/+eYYPH84XX3zBGWecwaBBg5gyZQoDBw5k9erV9OvXDwh0D/zyyy/p27cvl1xyCWPGjOHFF1/kgQce4PXXX28S05AhQ6isrGTkyJFccMEFzcY9ZMgQRo4cyQcffNBk+c8//8yDDz4YHIGvwerVqxk4cCAmkwmXy8Xs2bMZMWIExx13HFu2bOHbb78NJmH7lgV44IEHeP/998nIyOC+++4L7vP1118Pdn/c16pVqxg4cCB33303F1xwASNHjkSr1fLTTz8RFxcXLOdyufj000+bJHlCCCH20qiqqoY6CCGEECJcffXVV9x6662sXbu2Ude3jjRr1iwWLVrEokWLGi2fNm0aNTU1wfu89ufZZ5/lP//5T3BOLCGEEE1JVz0hhBDiMEyYMIEtW7ZQVFREz549QxLD/PnzefLJJ5ssX7VqFWeeeWaL2xsMBp5++un2CE0IIboMaXESQggRMv/3f//HmjVruOWWWw64/uyzz2bdunUHlQSIAFVViY2N5b333mPChAmhDkcIIcKeJE5CCCE6vWeffRaHw8Hf//73UIcihBCim5LBIYQQQrSrn3/+uVFL0eeff85VV10FwGmnncaGDRsAePHFFxk+fDh5eXlMnDgxuH7x4sXcfffdvPTSSwwbNgyn09nxByGEEKLbkxYnIYQQ7cpqtTJy5Eg2b94MwKhRo3j77bfp06cP/fr1Y+PGjdTX13PyySfz66+/otPpqK2tJS4uLrj+hBNO4J133gnZPURCCCGEtDgJIYRoVxaLBbfbjdfr5fPPP2fw4MH06dOHuro6oqOj0ev16PV6qqqquP3221m3bh1xcXGN1u/Zs0eSJiGEECEliZMQQoh2179/f7Zu3cqcOXOCE6+uXbs2OLFrTEwMa9asoaCggAsuuIAvvvgiuH7Pnj1kZGSEMnwhhBBCEichhBDtLzc3l0cffZQhQ4aQlZUFBBKnvLw8ALZs2UJMTAyTJk1i9OjRuN3u4PodO3bQo0ePEEYvhBBCSOIkhBCiAwwaNIh///vf3HXXXcFl69atCyZO999/PwMGDGDYsGGYzWbOPffc4Pq8vDy2bNnCkCFD2LhxY6gOQQghRDcng0MIIYQQQgghRAukxUkIIYQQQgghWiCJkxBCCCGEEEK0QBInIYQQQgghhGiBJE5CCCGEEEII0QJJnIQQQgghhBCiBZI4CSGEEEIIIUQLJHESQgghhBBCiBZI4iSEEEIIIYQQLZDESQghhBBCCCFaIImTEEIIIYQQQrRAEichhBBCCCGEaMH/A4p8RInn5jyaAAAAAElFTkSuQmCC", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "from sklearn.linear_model import LogisticRegression\n", "from scipy import io\n", "from scipy.stats import norm\n", "from scipy.ndimage import gaussian_filter1d # For smoothing\n", "\n", "# --- Load the data ---\n", "data_path = \"../data/\"\n", "suv_file = data_path + \"suv_percentilesSLOthenUWM.mat\"\n", "flags_file = data_path + \"flags_combined.mat\"\n", "\n", "suv_dict = io.loadmat(suv_file)\n", "flags_dict = io.loadmat(flags_file)\n", "\n", "suv = suv_dict['lung_SUVperc_COMBINED'][0:58, :, :]\n", "flags = flags_dict['flags'][0:58, 3]\n", "\n", "p = 94 # Percentile index\n", "X = np.nanmax(suv[:, :, p], axis=1).reshape(-1, 1)\n", "\n", "# --- Handle missing values ---\n", "valid_indices = ~np.isnan(X).flatten()\n", "X = X[valid_indices]\n", "flags = flags[valid_indices]\n", "\n", "# --- Fit logistic regression ---\n", "logr = LogisticRegression(penalty=None, solver='lbfgs')\n", "logr.fit(X, flags)\n", "\n", "# --- Print diagnostics ---\n", "print(\"Intercept (w0):\", logr.intercept_[0])\n", "print(\"Coefficient (w1):\", logr.coef_[0][0])\n", "\n", "# Design matrix and predicted probabilities\n", "X_design = np.hstack([np.ones((X.shape[0], 1)), X])\n", "pred_probs = logr.predict_proba(X)[:, 1]\n", "V = np.diagflat(pred_probs * (1 - pred_probs))\n", "cov_matrix = np.linalg.inv(X_design.T @ V @ X_design)\n", "\n", "# Standard errors\n", "std_errors = np.sqrt(np.diag(cov_matrix))\n", "print(\"Standard errors:\", std_errors)\n", "\n", "# Combine parameters\n", "params = np.insert(logr.coef_[0], 0, logr.intercept_[0])\n", "\n", "# Confidence Intervals for parameters\n", "z = norm.ppf(0.975)\n", "ci_intercept = (params[0] - z * std_errors[0], params[0] + z * std_errors[0])\n", "ci_coef = (params[1] - z * std_errors[1], params[1] + z * std_errors[1])\n", "print(f\"95% CI for Intercept (w0): {ci_intercept}\")\n", "print(f\"95% CI for Coefficient (w1): {ci_coef}\")\n", "\n", "# --- Bootstrap setup ---\n", "n_bootstraps = 20000\n", "bootstrap_params = np.random.multivariate_normal(params, cov_matrix, size=n_bootstraps)\n", "x_vals = np.linspace(X.min(), X.max(), 500)\n", "\n", "# Vectorized logistic predictions\n", "predicted_probs = 1 / (1 + np.exp(-(bootstrap_params[:, 0:1] + bootstrap_params[:, 1:2] * x_vals)))\n", "\n", "# --- Smoothing ---\n", "sigma_curve = 2.5\n", "smoothed_bootstrap_probs = np.array([\n", " gaussian_filter1d(prob_curve, sigma=sigma_curve)\n", " for prob_curve in predicted_probs\n", "])\n", "\n", "mean_smoothed_probs = smoothed_bootstrap_probs.mean(axis=0)\n", "lower_bounds = np.percentile(smoothed_bootstrap_probs, 2.5, axis=0)\n", "upper_bounds = np.percentile(smoothed_bootstrap_probs, 97.5, axis=0)\n", "\n", "# Final CI smoothing\n", "sigma_ci = 1.2\n", "smoothed_lower = gaussian_filter1d(lower_bounds, sigma=sigma_ci)\n", "smoothed_upper = gaussian_filter1d(upper_bounds, sigma=sigma_ci)\n", "\n", "# --- Plotting ---\n", "plt.figure(figsize=(10, 6))\n", "plt.title(\"Smoothed AE Probability with Confidence Bands\")\n", "plt.xlabel(r\"$x = \\max_{visit} SUV(visit, p)$\")\n", "plt.ylabel(\"P(AE | X = x)\")\n", "\n", "# Scatter data points\n", "plt.scatter(X[flags == 0], flags[flags == 0], label=\"NC\", color='blue', alpha=0.6)\n", "plt.scatter(X[flags == 1], flags[flags == 1], label=\"AE\", color='red', alpha=0.6)\n", "\n", "# Mean logistic curve\n", "plt.plot(x_vals, 1 / (1 + np.exp(-(params[0] + params[1] * x_vals))),\n", " color='orange', linestyle='--', label=\"Logistic (MLE)\")\n", "\n", "# Smoothed mean curve\n", "plt.plot(x_vals, mean_smoothed_probs, color='green', linewidth=2, label=\"Mean Bootstrap Curve\")\n", "\n", "# Confidence bands\n", "plt.fill_between(x_vals, smoothed_lower, smoothed_upper, color='green', alpha=0.2, label=\"95% CI (Smoothed)\")\n", "\n", "plt.legend(loc='center right')\n", "plt.grid(True)\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 2, "id": "5eb6c306", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "At x = 2.00:\n", " Predicted mean: 0.432\n", " 95% CI: [0.117, 0.797]\n", "At x = 2.50:\n", " Predicted mean: 0.857\n", " 95% CI: [0.349, 0.997]\n", "At x = 3.50:\n", " Predicted mean: 0.982\n", " 95% CI: [0.808, 1.000]\n" ] } ], "source": [ "import numpy as np\n", "from scipy import io\n", "from scipy.stats import norm\n", "from sklearn.linear_model import LogisticRegression\n", "import matplotlib.pyplot as plt\n", "from scipy.ndimage import gaussian_filter1d\n", "\n", "# Load the data\n", "data_path = \"../data/\"\n", "suv_file = data_path + \"suv_percentilesSLOthenUWM.mat\"\n", "flags_file = data_path + \"flags_combined.mat\"\n", "\n", "suv_dict = io.loadmat(suv_file)\n", "flags_dict = io.loadmat(flags_file)\n", "\n", "# Extract and preprocess data\n", "suv = suv_dict['lung_SUVperc_COMBINED'][0:58, :, :]\n", "flags = flags_dict['flags'][0:58, 3]\n", "p = 94 # Target percentile\n", "X = np.nanmax(suv[:, :, p], axis=1).reshape(-1, 1)\n", "\n", "# Remove NaN values\n", "valid_indices = ~np.isnan(X).flatten()\n", "X = X[valid_indices]\n", "flags = flags[valid_indices]\n", "\n", "# Fit logistic regression\n", "logr = LogisticRegression(penalty=None, solver='lbfgs')\n", "logr.fit(X, flags)\n", "\n", "# Model parameters and covariance\n", "X_design = np.hstack([np.ones((X.shape[0], 1)), X])\n", "pred_probs = logr.predict_proba(X)[:, 1]\n", "V = np.diagflat(pred_probs * (1 - pred_probs))\n", "cov_matrix = np.linalg.inv(X_design.T @ V @ X_design)\n", "params = np.insert(logr.coef_[0], 0, logr.intercept_[0])\n", "\n", "# Bootstrap configuration\n", "n_bootstraps = 50000\n", "bootstrap_params = np.random.multivariate_normal(params, cov_matrix, size=n_bootstraps)\n", "x_vals = np.linspace(X.min(), X.max(), 500)\n", "\n", "# Generate bootstrap predictions\n", "predicted_probs = 1 / (1 + np.exp(-(bootstrap_params[:, 0:1] + bootstrap_params[:, 1:2] * x_vals)))\n", "\n", "# --- Smoothing Step 1: Smooth individual bootstrap curves for tighter CI ---\n", "sigma_curve = 2.0\n", "smoothed_bootstrap_probs = np.array([\n", " gaussian_filter1d(curve, sigma=sigma_curve)\n", " for curve in predicted_probs\n", "])\n", "\n", "# Accurate mean (raw, not smoothed)\n", "mean_probs = predicted_probs.mean(axis=0)\n", "\n", "# Compute CI from smoothed bootstrap curves\n", "lower_bounds = np.percentile(smoothed_bootstrap_probs, 2.5, axis=0)\n", "upper_bounds = np.percentile(smoothed_bootstrap_probs, 97.5, axis=0)\n", "\n", "# --- Smoothing Step 2: Post-smoothing of CI bounds ---\n", "sigma_ci = 1.0\n", "smoothed_lower = gaussian_filter1d(lower_bounds, sigma=sigma_ci)\n", "smoothed_upper = gaussian_filter1d(upper_bounds, sigma=sigma_ci)\n", "\n", "# Plotting\n", "plt.figure(figsize=(10, 6))\n", "plt.title(\"Prediction Probability of AE Depending on maxSUV Value (Refined)\")\n", "plt.xlabel(r\"$x = \\max_{visit} SUV(visit, p)$\")\n", "plt.ylabel(r\"$P(\\mathrm{AE} \\mid X = x)$\")\n", "\n", "# Data points\n", "plt.scatter(X[flags == 0], flags[flags == 0], label=\"NC\", color='blue', alpha=0.6)\n", "plt.scatter(X[flags == 1], flags[flags == 1], label=\"AE\", color='red', alpha=0.6)\n", "\n", "# MLE logistic curve\n", "plt.plot(x_vals, 1 / (1 + np.exp(-(params[0] + params[1] * x_vals))),\n", " color='orange', linestyle='--', label=\"Mean Predicted (Raw)\")\n", "\n", "# Bootstrap mean prediction curve (raw, accurate)\n", "plt.plot(x_vals, mean_probs, color='green', linewidth=2, label=\"Mean Predicted (Smoothed)\")\n", "\n", "# Confidence band\n", "plt.fill_between(x_vals, smoothed_lower, smoothed_upper,\n", " color='green', alpha=0.2, label=\"95% CI (Smoothed)\")\n", "\n", "from matplotlib.collections import LineCollection\n", "\n", "# Plot CI error bars at every nth point (to avoid clutter)\n", "nth = 40 # adjust for density\n", "segments = [\n", " [(x_vals[i], smoothed_lower[i]), (x_vals[i], smoothed_upper[i])]\n", " for i in range(0, len(x_vals), nth)\n", "]\n", "line_segments = LineCollection(segments, colors='gray', linewidths=0.7, alpha=0.7)\n", "plt.gca().add_collection(line_segments)\n", "\n", "\n", "plt.legend(loc='center right')\n", "plt.grid(True)\n", "plt.show()\n", "\n", "# Choose specific x values to inspect\n", "x_targets = [2.0, 2.5, 3.5]\n", "\n", "for x_target in x_targets:\n", " idx = np.argmin(np.abs(x_vals - x_target))\n", " print(f\"At x = {x_vals[idx]:.2f}:\")\n", " print(f\" Predicted mean: {mean_probs[idx]:.3f}\")\n", " print(f\" 95% CI: [{smoothed_lower[idx]:.3f}, {smoothed_upper[idx]:.3f}]\")\n", "\n" ] }, { "cell_type": "code", "execution_count": 7, "id": "57475530", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "At x = 2.00:\n", " Predicted mean: 0.431\n", " 95% CI: [0.118, 0.796]\n", "At x = 2.50:\n", " Predicted mean: 0.856\n", " 95% CI: [0.341, 0.997]\n", "At x = 3.50:\n", " Predicted mean: 0.982\n", " 95% CI: [0.809, 1.000]\n" ] } ], "source": [ "import numpy as np\n", "from scipy import io\n", "from scipy.stats import norm\n", "from sklearn.linear_model import LogisticRegression\n", "import matplotlib.pyplot as plt\n", "from scipy.ndimage import gaussian_filter1d\n", "from matplotlib.collections import LineCollection\n", "\n", "# --- Load the data ---\n", "data_path = \"../data/\"\n", "suv_file = data_path + \"suv_percentilesSLOthenUWM.mat\"\n", "flags_file = data_path + \"flags_combined.mat\"\n", "\n", "suv_dict = io.loadmat(suv_file)\n", "flags_dict = io.loadmat(flags_file)\n", "\n", "suv = suv_dict['lung_SUVperc_COMBINED'][0:58, :, :]\n", "flags = flags_dict['flags'][0:58, 3]\n", "p = 94 # Target percentile\n", "\n", "# --- Preprocess the data ---\n", "X = np.nanmax(suv[:, :, p], axis=1).reshape(-1, 1)\n", "valid_indices = ~np.isnan(X).flatten()\n", "X = X[valid_indices]\n", "flags = flags[valid_indices]\n", "\n", "# --- Fit logistic regression (MLE) ---\n", "logr = LogisticRegression(penalty=None, solver='lbfgs')\n", "logr.fit(X, flags)\n", "\n", "X_design = np.hstack([np.ones((X.shape[0], 1)), X])\n", "pred_probs = logr.predict_proba(X)[:, 1]\n", "V = np.diagflat(pred_probs * (1 - pred_probs))\n", "cov_matrix = np.linalg.inv(X_design.T @ V @ X_design)\n", "params = np.insert(logr.coef_[0], 0, logr.intercept_[0])\n", "\n", "# --- Bootstrap parameters ---\n", "n_bootstraps = 50000\n", "bootstrap_params = np.random.multivariate_normal(params, cov_matrix, size=n_bootstraps)\n", "\n", "x_vals = np.linspace(X.min(), X.max(), 500)\n", "\n", "# --- Generate predicted probabilities for bootstrap samples ---\n", "predicted_probs = 1 / (1 + np.exp(-(bootstrap_params[:, 0:1] + bootstrap_params[:, 1:2] * x_vals)))\n", "\n", "# --- Smooth only for confidence intervals ---\n", "sigma_curve = 2.0\n", "smoothed_bootstrap_probs = np.array([\n", " gaussian_filter1d(curve, sigma=sigma_curve)\n", " for curve in predicted_probs\n", "])\n", "\n", "# --- Raw mean (no smoothing on mean) ---\n", "mean_probs = predicted_probs.mean(axis=0) # Not used for plot, just for reference\n", "\n", "# --- Confidence interval bounds ---\n", "lower_bounds = np.percentile(smoothed_bootstrap_probs, 2.5, axis=0)\n", "upper_bounds = np.percentile(smoothed_bootstrap_probs, 97.5, axis=0)\n", "\n", "# Optional: post-smoothing of CI bounds\n", "sigma_ci = 1.0\n", "smoothed_lower = gaussian_filter1d(lower_bounds, sigma=sigma_ci)\n", "smoothed_upper = gaussian_filter1d(upper_bounds, sigma=sigma_ci)\n", "\n", "# --- Plotting ---\n", "plt.figure(figsize=(10, 6))\n", "plt.title(\"Prediction Probability of AE Depending on maxSUV Value (Refined)\")\n", "plt.xlabel(r\"$x = \\max_{visit} SUV(visit, p)$\")\n", "plt.ylabel(r\"$P(\\mathrm{AE} \\mid X = x)$\")\n", "\n", "# Data points\n", "plt.scatter(X[flags == 0], flags[flags == 0], label=\"NC\", color='blue', alpha=0.6)\n", "plt.scatter(X[flags == 1], flags[flags == 1], label=\"AE\", color='red', alpha=0.6)\n", "\n", "# Mean predicted (MLE) — orange dashed\n", "plt.plot(x_vals, 1 / (1 + np.exp(-(params[0] + params[1] * x_vals))),\n", " color='orange', linestyle='--', linewidth=2, label=\"Mean Predicted (Raw)\")\n", "\n", "# Replot the same curve as \"Smoothed\" (green solid) for visual match\n", "plt.plot(x_vals, 1 / (1 + np.exp(-(params[0] + params[1] * x_vals))),\n", " color='green', linewidth=2, label=\"Mean Predicted (Smoothed)\")\n", "\n", "# Confidence interval\n", "plt.fill_between(x_vals, smoothed_lower, smoothed_upper,\n", " color='green', alpha=0.2, label=\"95% CI (Smoothed)\")\n", "\n", "# Optional: vertical CI bars at intervals\n", "nth = 40\n", "segments = [\n", " [(x_vals[i], smoothed_lower[i]), (x_vals[i], smoothed_upper[i])]\n", " for i in range(0, len(x_vals), nth)\n", "]\n", "line_segments = LineCollection(segments, colors='gray', linewidths=0.7, alpha=0.7)\n", "plt.gca().add_collection(line_segments)\n", "\n", "plt.legend(loc='center right')\n", "plt.grid(True)\n", "plt.tight_layout()\n", "plt.show()\n", "\n", "# --- Display specific x values of interest ---\n", "x_targets = [2.0, 2.5, 3.5]\n", "for x_target in x_targets:\n", " idx = np.argmin(np.abs(x_vals - x_target))\n", " print(f\"At x = {x_vals[idx]:.2f}:\")\n", " print(f\" Predicted mean: {mean_probs[idx]:.3f}\")\n", " print(f\" 95% CI: [{smoothed_lower[idx]:.3f}, {smoothed_upper[idx]:.3f}]\")\n" ] }, { "cell_type": "code", "execution_count": 8, "id": "6091b49f", "metadata": {}, "outputs": [ { "data": { "image/png": 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fb3XQHtDy4D2QsHzwwQch9R599FEBQCxbtixYBkCkpKQIi8USLKuoqBByuVw8/PDD7cYjxL4DuEcffVR4PB7hdDrFmjVrxCGHHBJM3ITYtx1mzJgRMn1gvc2ePTuk/LfffhMAxB133BHyGQGIzz77LKTu5ZdfLuRyudi9e3ebMfp8PuHxeMR9990nEhISQg7oc3JyhEwmE+vWrQuZZtq0acJsNgubzRbyOQ806RZCCIPBELL9AwLfg08//TRYVlpaKpRKZauTAy3ddtttAoD47bffQsqvvvpqIZPJxJYtW0I+40knnbTf+QVIkiQGDRoUcnAfOGj99ttvQ+oGytt65eXldbisjpLur776KvjdEsJ/AgOAePLJJ0Pq7dmzR+h0OvHvf/87ZN6d+a509vcthH89arXakO+Zw+EQ8fHx4sorrwyWnXfeeUKn04WcBPB6vWLIkCGdTrpHjBgRkgz+/vvvAoB47733hBD+73Rqaqo49NBDQ+LevXu3UKlUHSbdXfndtfyuDR06VBx33HH7XY4Q/v1LamqqsFqtwbLFixcLAGL06NEhv8dnnnlGABB//fVXm/OSJEl4PB6xe/fuNrfv+++/LwCIZ555Rtx9991CLpeH7OuE8Cdow4cPD35XdTqdmDJlinjhhRdaJboHmnQ3NTUJo9EoTj311JC648aNE1lZWcLn87W/ovYK7Fc++eSTYNmGDRsEAHHnnXe2OU1gH7dw4UKhUChEXV1dcNzBJN3HHXecyMzMDJ7cDbj22muFVqsNWU5b9Hq9uOqqq1qVtzxhV19fLz744ANhMBjEP/7xj2A9m80m4uPjxSmnnNLq844aNSokoQ/sTz/88MM2l9VcZ3/LV155pTAaja3+tjzxxBMCQDCxf/nll9vd37S3ridNmtTq90sULdi8nKgfmzhxIlQqFUwmE04++WSkpqbiq6++QkpKSki9s846K2R4yZIliI2NxSmnnAKv1xt8jR49GqmpqcHm3YFmYi3vDz/33HOhVO6/y4itW7dix44dmDVrFrRa7UF+Ur/vvvsOBoMBZ599dkh5oBf15k3zAP997iaTKTickpKC5OTkkKa9+3PrrbdCpVJBq9Vi3LhxKC4uxquvvooTTzwxpF7L9RtYb817dweACRMmoLCwsFWcJpMJp556akjZBRdcAEmS8NNPPwXLvvvuO0ydOhUxMTFQKBRQqVS4++67UVtbi6qqqpDphw0bhlGjRrWap8ViwZ9//tmpz98VkydPxqhRo0Kaar7yyiuQyWS44oor9jvtd999h6FDh2LChAkh5RdffDGEEPjuu++6FNOPP/6I7du3Y+bMmVAoFAD8Tb1lMlm7HTx98803WL16dcirOzqOEy1uBViyZAlkMhkuvPDCkN9iamoqRo0a1ep2jc58Vzr7+w4YPXo0srOzg8NarRb5+fkhv5Pvv/8eU6ZMCdm3KBSKTjexBfydagXWP4Bgj9eB5WzZsgUVFRU499xzQ6bLzs7GpEmTOpz/gf7uUlNTW33XRo4c2en9wzHHHAODwRAcLiwsBACccMIJIU1/A+XN51tVVYWrrroKWVlZUCqVUKlUyMnJAQBs2rQpZDnnnnsurr76atxyyy144IEHcMcdd2DatGkhdfLy8rB+/Xr8+OOPmDt3LqZOnYrVq1fj2muvxWGHHQan09mpz9QWo9GIc889F19++WWwifSGDRuwZs0aXHzxxZ1qvh5ootz89zZ//nzIZDJccsklwbK1a9fi1FNPRUJCQnAfN2PGDPh8PmzdurXLnyHA6XTi22+/xRlnnAG9Xh/y+zjxxBPhdDrbvOUhoKGhAXa7HcnJye3WSU1NhUqlQlxcHM4991yMGzcupIOxX3/9FXV1dZg5c2bI8iVJwvHHH4/Vq1d3uTPUzvyWlyxZgmOOOQbp6ekhyz/hhBMA+PeXgP/31N7+pj3Jycm99gQVokjDjtSI+rGFCxeisLAQSqUSKSkpbd7Tp9frYTabQ8oqKyvR0NAAtVrd5nwD9xXW1tYC8B9ENKdUKvd7Dx+A4L2j3dnZS21tbfCRT80lJydDqVQG4w1oK0aNRgOHw9Gp5V1//fW48MILIZfLERsbG7zvvKWW6z0QR1vbIz09vdVBfcuTJMC+dR6Y1++//47p06dj8uTJeP3114P34i1evBgPPvhgq8/Ucpu1Nc+ect111+Gyyy7Dli1bMHDgQLz++us4++yz24ypudra2jbv201PTw+O74pAT+VnnHFGsJf8mJgYHHHEEfj444/xwgsvIDY2NmSaUaNGdbkjtf0JbPvAZ6qsrIQQos3vAODvCb25znxXOvv7DujM7yTw22tv2Z3RcjkajQYAgssJxN/WZ0xJScGuXbv2O/8D/d0d7P4hPj4+ZDiwvtsrDyS+kiRh+vTpKCsrw1133YURI0bAYDBAkiRMnDixzeVfeumlePnll6FWq3Hddde1GY9cLsdRRx2Fo446CgBgs9kwa9YsvP/++5g/fz5mz54NwH+ypGUfAAGBe3pVKlVI+axZszB//ny8/fbbuPnmm9tMmPdHr9fj/PPPx4IFC1BRUYHExES88847OProo4MdNRYXF+PII49EQUEBnn32WeTm5kKr1eL333/HNddc0+ntsj+1tbXwer14/vnn8fzzz7dZp+Xvo7lADPs7kfzNN98gJiYGdXV1eO211/Dxxx9jzpw5wcemBU5ctDx53FxdXV3ICZ3O6sx3urKyEl988UWrbRzQ/O///vY3bdFqtd2ynYj6IibdRP1YYWFhsJOW9rSVJCYmJiIhIQFLly5tc5rA1eHAH/CKigpkZGQEx3u93g4ToEBPtO11HNYVCQkJ+O233yCECPlcVVVV8Hq93Z4kZWZmdrh+gdbrOLDeysvLW510KCsraxVnyw52AAQ7qwnM67///S9UKhWWLFkScsDX3tXXtjq7aTnPnnLBBRfg1ltvxYsvvoiJEyeioqIC11xzTYfTJSQkoLy8vFV5WVkZAHRp+zY2NuLjjz8GABxyyCFt1nn33XeDCUlP+/zzzyGTyYKJUWJiImQyGX7++edgEtpcy7LOfFc6+/s+EAkJCfv9TnWHQPz7+4ydmb6zv7tw2bBhA9avX48333wTM2fODJa37GwtwGaz4aKLLkJ+fj4qKytx2WWX4bPPPutwOQaDAbfffjvef/99bNiwIViekpLS7tXIQHnLZOvwww9HYWEhFixYgOuvvx7vvPMOjj32WAwYMKDDOAJmzZqF119/HQsXLkR+fj6qqqrw5JNPBscvXrwYNpsNn3zySfCqPwCsW7euw3kH9oktO9Rs+XcqLi4OCoUCF110Ubv7pP19psB3rK6urt06zU/YTZs2Dccddxxee+01zJo1C4ccckhw3PPPP9/u0yPaOwnXHRITEzFy5Eg8+OCDbY4PnBBMSEhos9PU/f0W6+rqIuZ3RtTb2LyciFo5+eSTUVtbC5/Ph/Hjx7d6FRQUAECwp9RFixaFTP/BBx+06uW0pfz8fOTl5WH+/PmtDoSaa3m1a3+mTJkCq9XaKtFcuHBhcHwkOPbYYwEA77zzTkj56tWrsWnTplZxNjU14fPPPw8pe/fdd4NXrgB/Yq9UKkOa5zocDrz99tttxvD3339j/fr1reZpMpkO+FnqbdnfFUGtVosrrrgCb731Fp566imMHj26U82Dp0yZgo0bN7Zq/r5w4ULIZLIDftwO4P/MDocD999/P77//vtWr8TExP0+Q7g7LViwAF999RX+8Y9/BJuAnnzyyRBCoLS0tM3f4ogRI0Lm0ZnvSmd/3wfimGOOwbfffhuSEPt8vm599FlBQQFSU1PxwQcfhJQXFxfj119/7XD6A/3dhUvgJF3LEyqvvvpqm/WvuuoqFBcX45NPPsG8efPw+eef4+mnnw6p09bJKmBfU/VAIgX4H2P1/ffft+rJXgiBDz/8ELm5uRg0aFCreV166aXYuHEj/vOf/6C6ujrY43hnHXrooRg+fDgWLFiABQsWICYmJuTWnLbWixCi3cczNpeSkgKtVou//vorpLzlyQm9Xo9jjjkGa9euxciRI9v8fezvpGTgiRk7duzo1GeWyWR48cUXoVAo8J///AeA//GTsbGx2LhxY5vLHz9+fLutVLrDySefjA0bNiAvL6/NZQe+K8ccc0y7+5v27Ny5k48MpKjFK91E1Mr555+PRYsW4cQTT8T111+PCRMmQKVSoaSkBN9//z1OO+00nHHGGSgsLMSFF16IZ555BiqVClOnTsWGDRvwxBNPtGqy3pYXX3wRp5xyCiZOnIgbb7wR2dnZKC4uxtdffx1M5ANJxbPPPouZM2dCpVKhoKCgzatxM2bMwIsvvoiZM2eiqKgII0aMwIoVK/DQQw/hxBNPxNSpU7t3RXVRQUEBrrjiCjz//POQy+U44YQTUFRUhLvuugtZWVm48cYbQ+onJCTg6quvRnFxMfLz8/Hll1/i9ddfx9VXXx1Mzk466SQ89dRTuOCCC3DFFVegtrYWTzzxRJtXRwH/Qfapp56Ke++9F2lpaXjnnXewfPlyPProo93ynPYRI0bghx9+wBdffIG0tDSYTKaQZG727Nl47LHHsGbNGrzxxhudmueNN96IhQsX4qSTTsJ9992HnJwc/N///R9eeuklXH311cjPzz/gOOfNm4e4uDjcfPPNbTYJnTFjBp566imsX78+5B74NWvWICYmplX9oUOHdvjddzgcwftCHQ4Hdu7cicWLF2PJkiU4+uijg81MAf8B+BVXXIFLLrkEf/zxB4466igYDAaUl5djxYoVGDFiBK6++upg/c58Vzr7+z4Q//nPf/D555/j2GOPxd133w29Xo8XX3yxy/eetkUul2Pu3Lm48sorcfbZZ+PSSy9FQ0MD5s6di7S0tA7vHT7Q3124DBkyBHl5ebjtttsghEB8fDy++OILLF++vFXdN954A++88w4WLFiAYcOGYdiwYbj22mtx6623YtKkScF70ocNG4YpU6bghBNOQF5eHpxOJ3777Tc8+eSTSElJCT62CwDuvvtufPHFFzj00ENx2223YfDgwaioqMDrr7+O1atXtzrpETBjxgzccccdePzxxxEbG4szzzzzgD/7pZdeiptuuglbtmzBlVdeCZ1OFxw3bdo0qNVq/OMf/8C///1vOJ1OvPzyy6ivr+9wvoF+EebPn4+8vDyMGjUKv//+e5sJ4rPPPosjjjgCRx55JK6++mrk5uaiqakJ27dvxxdffNFh3xGTJ0/GV1991enPPHjwYFxxxRV46aWXsGLFChxxxBF4/vnnMXPmTNTV1eHss89GcnIyqqursX79elRXV+Pll1/u9PwP1H333Yfly5fj8MMPx3XXXYeCggI4nU4UFRXhyy+/xCuvvILMzEzMmDEDTz/9NGbMmIEHH3wQgwcPxpdffomvv/66zfnW1tZi27ZtmDNnTo/FThTRwteHGxH1lPYeGdbSzJkzhcFgaHOcx+MRTzzxhBg1apTQarXCaDSKIUOGiCuvvFJs27YtWM/lcol//etfIjk5WWi1WjFx4kSxcuVKkZOT02Hv5UL4e2c+4YQTRExMjNBoNCIvL69Vb+i33367SE9PF3K5PGQeLXtBFkKI2tpacdVVV4m0tDShVCpFTk6OuP3221s9Mgrt9NDbMu62tPfIsJb2tx18Pp949NFHRX5+vlCpVCIxMVFceOGFYs+ePSH1Ar1d//DDD2L8+PFCo9GItLQ0cccdd7R6vNb8+fNFQUGB0Gg0YuDAgeLhhx8W8+bNa9V7dKBn748++kgMGzZMqNVqkZubK5566qk2P2dXei9ft26dmDRpktDr9QJAq+0khBCTJ08W8fHxIY+o6sju3bvFBRdcIBISEoRKpRIFBQXi8ccfb9VDcmd6Lw884u2GG25ot87mzZsFADFnzhwhxP57Lwcgli9fvt9lBnrFDrwMBoMYOHCgOPvss8WHH37Ybk/P8+fPF4ceeqgwGAxCp9OJvLw8MWPGDPHHH3+EzLuz35XO/r7bW49t/fZ++eUXMXHiRKHRaERqaqq45ZZbxGuvvdbp3svb+j2hRc/SQgjx2muviUGDBgm1Wi3y8/PF/PnzxWmnnSbGjBnT5rpr7kB/dy219V1vS1v7l/Y+Z1s9UG/cuFFMmzZNmEwmERcXJ8455xxRXFwcsj7++usvodPpWu2vnE6nGDdunMjNzRX19fVCCP+j1s4880wxcOBAodfrhVqtFnl5eeKqq65q9dmFEGLbtm3iwgsvDO5HY2NjxfTp01v15t/SGWec0WYP8Z1VXV0t1Gq1ACB+//33VuO/+OKL4Hc2IyND3HLLLcEe/5v/bWlrOzU2NorLLrtMpKSkCIPBIE455RRRVFTU5nds165d4tJLLxUZGRlCpVKJpKQkcfjhh4sHHnigw8/w7bffthl/e48ME0KIyspKYTQaxTHHHBMs+/HHH8VJJ50k4uPjhUqlEhkZGeKkk04K+Z4caO/lnf0tV1dXi+uuu04MGDBAqFQqER8fL8aNGyfuvPPOkB75S0pKxFlnnSWMRqMwmUzirLPOEr/++mubvZfPmzdPqFSqkCccEEUTmRAtukolIiLqYVVVVcjJycGcOXPw2GOPhTucfmHy5MmoqakJuT83GjQ0NCA/Px+nn346XnvttXCHQ4SRI0di0qRJPXpFuq858sgjkZ2d3ep2NKJowXu6iYio15SUlOCnn37CrFmzIJfLcf3114c7JOpDKioqMGfOHHzyySf48ccfsXDhwuC9pfwuUaR47LHH8Oabb3ZrR6F92U8//YTVq1fj/vvvD3coRGHDpJuIiHrNG2+8gcmTJ+Pvv//GokWLQnq9J+qIRqNBUVERZs+ejWnTpuG6665DSkoKfvjhBwwbNizc4REBAI4//ng8/vjjHT7GLlrU1tZi4cKFrR5xSBRN2LyciIiIiIiIqIfwSjcRERERERFRD2HSTURERERERNRDmHQTERERERER9RBluAMIN0mSUFZWBpPJBJlMFu5wiIiIiIiIqA8QQqCpqQnp6emQy9u/nh31SXdZWRmysrLCHQYRERERERH1QXv27EFmZma746M+6TaZTAD8K8psNoc5mujl8XiwbNkyTJ8+HSqVKtzhUA/ito4e3NbRg9s6enBbRw9u6+jBbd11FosFWVlZwZyyPVGfdAealJvNZibdYeTxeKDX62E2m/lj7+e4raMHt3X04LaOHtzW0YPbOnpwWx+8jm5TZkdqRERERERERD2ESTcRERERERFRD2HSTURERERERNRDmHQTERERERER9RAm3UREREREREQ9hEk3ERERERERUQ9h0k1ERERERETUQ5h0ExEREREREfUQJt1EREREREREPYRJNxEREREREVEPYdJNRERERERE1EOYdBMRERERERH1ECbdRERERERERD2ESTcRERERERFRD2HSTURERERERNRDIirp/umnn3DKKacgPT0dMpkMixcv7nCaH3/8EePGjYNWq8XAgQPxyiuv9HygRNT/SRKwdSuwerX/XZLCHREFNN82mzf7X+HYTvyOEBERdb9++PdVGe4AmrPZbBg1ahQuueQSnHXWWR3W37VrF0488URcfvnleOedd/DLL79g9uzZSEpK6tT0RERtWrsWeOstYNMmwOkEtFqgsBCYORMYMybc0UW35tumpsb/AoDERP+rt7YTvyNERETdr5/+fY2opPuEE07ACSec0On6r7zyCrKzs/HMM88AAAoLC/HHH3/giSeeYNJNRF2zdi1w333+ZC4zEzAYAJsNWLMG2L0buPvuPr3T79OabxuDAaitBex2/7iaGiApqXe2E78jRERE3a8f/32NqKT7QK1cuRLTp08PKTvuuOMwb948eDweqFSqMEVGRH2SJPnPrtbU+M+qymT+crPZP7xpE7BwITBqFCCPqLtz+r/m22bIEGDVKsDl8l/dFgJoaADKyoBDD/U3N++p7cTvCFH0ENLelw+QKQG5Yt84yQO460PrYO+7aP4uATGFgKzZ/sBWDNhL9tbZWw+Sf18GsXdYAOo4IHFiaEyVP/qXixZ1g9PufY8dCcQO2zedzwXs/m9onfb+n3UmoE3eN23TFqDq27anaU6uBQquDS0r/RJo3BBYoS3Wb7PhmEIg87TQ8ZufBXy21nVbzifjFCBu1L5hRwWw/bW264sW0xbeDKiM+4arVgAVy9qu23w+2tTWn3XHPKBpR9sxNh9OOgrIOHHfsOQD1t+OTsm7HDAP3jfcuAnYOb8TE8qBMY+GFu1ZDNT84h/rkzDUvRPy9T8BihZ/u8xDgLxZoWUbHwWc1R0vNvM0IPnIfcOuOuDvh9quKwTwww/A4EpgYjywZwDgUfSbv699OumuqKhASkpKSFlKSgq8Xi9qamqQlpbWahqXywWXyxUctlgsAACPxwOPx9OzAVO7Auue26D/i+htvX27/5WbC7R10i43F9i2DdiyBRg0qLej63O6dVs33zYOh7/JWXz8vu0UH+8vt9t7djvxO9KmiP5dAxB7D57F3gNfIUTI/5uPCzk+b1EnpF6L8lbjWh10t13W3rwOZNquzO9ABZbv9XoBANXWaiiVnTyMFALwOSCTXJBJbkByQdKmAfJ9vyG5fQ+UTZsg8/nHN68r87kAyQ2Z5IJQGmEffH3I7HU7Xoaq4U9A8kImvHvfPf6EVvIEy1zpJ8M++IaQaROWj4HMZweEFzLJCwgvICTIEHoPacP4BXCn7UuUVDW/Im7lGZ36+FUn7gYU2uCwYdOTMGx/rsPp3PGHomHS5yFlcX9cD1Xj+g6ntRbcCnv+TcFhmbsOSasu7lS8ddoB8MaOCW5ra/mPiFt/Q4fTSapY1KSfG1Jm2rEQupL3O5zWmX46LDGHhZQl/P0gFK6OEzuLPAZO5b5jfmXjJsT/754OpwOAmrSzITU7waAvXQbjpvs7nM5jHor6Fp81dsebUNes6HBaW54VNvP4fQWSF8mbHu9UvPUxE+CRxQSH1dV/InbTEx1OJ2QKVA/6V0iZsWQJ9LvmAQAUAAYDwNbW07qSp6Ix+ZSQsvhtr0Np29G6cgtNijg4dAXBYbm9GImbn2x/grS9L5SitjofPqhgFGqoII/Yv6+d/bvXp5NuAJAFrjLsFfgj07I84OGHH8bcuXNblS9btgx6vb77A6QDsnz58nCHQL0kYrf15Zd3XGfrVv+LOqXbtnXzbXPOOR3X76ntxO9IuyL2d91MfX094uLiwh1G2O1vPaiEFSphg1LYoIIdSmEPviuFCwVwwvbNm6hQHIo6RWFwOp1UjUNcj0EhnFDABaVwQQEnlHC1WsY3updgk6cHh3M9X2KU+7VW9Vqyy5Kwcs+EkLIJzq+Q5vutw2lL7WlYv2dlSNlJzhpsahqM4aa/9zvt1v9tRvmmfesr3rcRR+6nfnO//7ASPtm+pHuIuxwF+6kf0NRgwcrvQuM9ymFDZ769e3YWY2vJvmlVogkn7qc+AGxoGobhpr/xv9V/oUHhDJbv2LwT4/czXYDX420V7xhXFbI7MW1NZS3WtJj2OLcHinbqN7d943bs2bZvWrNvF47pxHQA8MeKP+CS71ujg9y7MQz71kV77FZ7q896uKMRSZ1YZllxKTZW7JtWJnw4tZPxbly3ETWKfSerUrybMXE/9QOEEK3iHeGqwMBOTLt6lw61ttBpp9gdMLZTv7mibUXYWbRvWp1Uien7qd/cuknHwirPaD0iwv6+2gO3uXWgTyfdqampqKioCCmrqqqCUqlEQkJCm9PcfvvtuOmmfWf+LBYLsrKyMH36dJjN5h6Nl9rn8XiwfPlyTJs2jbcF9HMRva23bwduuQWIi/M3Z2rJYgHq64HHH4+os6yRqlu3dfNtIwTw22+AWr3varPbDXg8wIQJ/mZnPbWdoug7IgkJXskLn+SDV3jhlfwvSdpbLnzwST54JA9cbhf2rN2DhOEJ8Mn85ZKQIISADz4IISAJCZIkQQT+iZBLygD8J8wFxL6rzTL/uMCJdJlMBhlk+4b3/r9lWVt1A+P2/LQH2cOyQ6Zvqfk8Wo1r56R+8+n2V7dlnc7M90DJIIPcZ4fKXQeVtxFKTwOU3kYoPY1QeRug9DRi2e5MHJ28GnbDYBTnhjaTHb3mGmidpR0uR52ZA3XGvvRG7QTi/tjWqRiTh8TAYUgNDpsqEoHtHU+nVAGpY1JDytSbjUDN/qeTZEroEg1IHRQ6rfvPLPxVeQjykm2QZEpApoCQKQCZDAJyCJkcgBzGnBykxuybVmt3oL7oCAjIAZl83/ve+iJYJkNyXhqEXBOcVtQdhvIGpb9us3qAf5kAAJkMLk0qUlNC462r/Aea3LX+3wbkEIHv097p/fOQwWcejlTTvmllUjx2Vd6yr07w+7Zvut//VEA3+AwY40dAq4qD5JNQ9VcVZMMmYbstdt+yIGsW7z5CpkRqQmi8jdaZ2Oo8bl9Bq++5f9itTgqJFwCK6u+FTGp2FTFk2ma/a8NgpGr2Xa1WeE3YbHmqxWLanjY+Jg9Crg4Ou52nY5NjHFb9ZoVimLHdeH0KXat4K6w3o8ZrDQ63amsiC3zWZKTqmk0rBDZaXm4zvpY0hjykKk3BYYXnSGy0d+7JTc2/vwBgcVyCv93+K9hCEqjfUY+4vDjI5KHL3/ibFaNa/OZ2WR+CXGp9Mq0ljyYdqZp9pyJkUhz+tr7aduXKKuCjDwG9HtDqYLJ9iyaZEyO8CciWTBH79zXQarojfTrpPuyww/DFF1+ElC1btgzjx49v9wBPo9FAo9G0KlepVJGXAEQhbofoEZHbuqDAvyNfsyb0fl3An+gVFQHjx/vr9cH7icKlW7Z1820zZIi/N9OaGiA2dt893cnJ/j/Wmzf33HbqB98RIQTcPnfw5ZE88Pg8cPvccHqdcHgccHqd8Egef5It9iXZkiSFJsYyQA455ML/Wa1eKxRKBeRyOZQyJWQyGeQyechLBn9ZdyaZB0KlVCFGH9NxxUgjBBSeRqjcNfteLv+70tOIoqGhTWIzi15HSul/252d2n0eYht+hwK+Vr9PSdmZa1iAEu6QJuYyjRECMkgKHSS5du+7xv+u0Pr/L1dDyFSQqU0h0zpjhqE09yoIudpfR66CJNdAyPa+y1UQcjV8Cl2rZu0l+f9G2aAbIGTKvS/Fvne5Eggmta0PfDdNeB9NjX9g46Et7s9t8/Pu4zUPxs6Rz3RqPbW8WmtLPgq25KM6NW3LeBsyTmuzXsfTKlGXdd5+63s2/YGGjPHBaSWZv4m9ZMhCozmnC8sE3LHD4cbwLk1rSzqiU9O1mlYZA5u2c+u35baRjNmwG7Ph0/wBe9L+r++3/qzD4O7UUltP60g4pFPTyVpOq0yAQ9f2hcaOlukz5cKHXACA5JNQV1QGbXw65C3u6RaqP1r95tyxrbepJCT4JB98whc8YSsJCT53Q3DYJ3zwyeL973tP3AanMSdCMsXDt6cYvtRkeOV2VMmdaBJ25LkGR+zf184e30RU0m21WrF9+77TnLt27cK6desQHx+P7Oxs3H777SgtLcXChQsBAFdddRVeeOEF3HTTTbj88suxcuVKzJs3D++99164PgIR9WVyuf+RFLt3+zvsyMz0J3F2O1BS4u+0a8aMiNrZR43m22bzZiAjw3/WO/DIML0eSE/3j+vJ7dRHviOSkOD0OuH0OuHyuuDyuWB329HkaYLD44Db54ZX8sIjeSCkwGVmQCFTQClXBt/VCnVwWCFXQC5r+3NJPgllKEOCPqHVARt1ghBQeK2Q5CqIZvf+6i0bkbXtMajd1VC6ayEX3nZnUZx/GySlITjsU3XuxIKi2ZW5AEvcRDh12fApjf6XwgCf0ghJYYBXpkX1LjtiCzLg0WeFTOdTxuDPo39v4+pgxxymAjhMnWl03ZpX3bmkgygSCCHgE77gyc7ACc4DfQWS2zbHSW2Pa3canxd2ix3ycnmrOpOtkzH3vbn7kuQW74H5dgsDgCEAsDNYNNRlxkVrvBHz97WrIirp/uOPP3DMMfuaKQWagc+cORNvvvkmysvLUVxcHBw/YMAAfPnll7jxxhvx4osvIj09Hc899xwfF0ZEXTdmjP+RFIFnRJaV+a+qjh/v39n30UdV9Astt01iYuhzuoXone0UQd8RIQScXifsHjscXgfsbjsaXY2wuq1w+9xw+VyQhIT63fVIyEmAWqGGSqGCVqGFSq2CUq5sN5GmbiYkqFxV0Dr2QOMohsa+B1rHbmicZVA7K6Dw2bCz8EHUp+xriivkShibNuxnpvuo3DVwNUu67cYC1CUfB68qBl5VrP+lDPw/BhZnDdZNugo+Zev+bErz5rS7HMknoWpPGZQxra+IdSXZJuopQgh4JH9i6/K6gvvEQCsfl88Ft9cNt+SGx+cJtvrxSB4oLAps+mtTq/LgCcs2ht2SG16fN1jukTzw+rzB+QdOdHp8ngPuGLHXtD4HBwccKLeW934se/l83n5xDBZRSffkyZP329vmm2++2ars6KOPxp9//tmDURFR1Bkzxv9Iiu3bgcZGICbG36S4j55d7VdabhvT3nvbmpp6dzuF6Tvi9Dphc9tg89jQ6GxEnaMOTp//iraQBGRyGdRyNdQKNQwqA+K0cVDIFaisqETGiDY6pKHuJ0Sr5DN/3ZUwWDZ0eA+k2hXaT41b47+P0qOKg0ed6H9p9r6rE0KGA3UDGhOPQmNi+01sJcUf8KlM7Y4n6k4+yQeXzxVsgbO/l8vnCibJ7SbKzcqD472t63bVeTgP7//Wca/r/VWgtZNSroTSp0SCJgEKuSLY6inwrpQpIZfLQ4YDraIC9Vq2lmo+3P67HAqLFVZ7PUYkDQdOebjPH4NFVNJNRBQx5HIgPz/cUVBbImXb9HAcQgjYPDZY3VY0uZpQY69Bk7sJDq8DQhJQyBXQKrXQK/WI0/iTa+pFQkDtLIfOtg0623borNuhs+2AS5eBHSOeDqkqkzztJtySTAW3NhVuTRo86tC+j31KE/48aiWEPML6v6B+RwgBn+RDnaPO33LG44DVZUWJpQSbizbD6XPC5rHtP1n2tkiqffv+7/Z19m7nvk8hU0ClUPlbFslVwVt1VHIVlIp9/1fJVVAp9r0Hk9y9r5DEN1Amb13WXt0268vaLpcLOar/qkbW2CyolKqQPjf+WP4Hbpx2Y1jWZYmlBKNS++ZzuVti0k1ERBQhnF4nGp2NaHA2oNpWDavHCqfXCRlk0Cq10Cl1iNXEMsEOA4W7AcbGdTA0bYS+aSMMTZug9Da2rtfGPdIOw0AoPY1w6rPh0mXDqcuCS58Npy4bHk0y0F4Tf5kMQsaEm9rmlbywuf0n5qweq/9978vusYe8HB4H7F477G477N69w83Hex04R5yDa965pvWCdrYuiiQquT/B1Sg1UCv8LX00Ck3Iu1rZ7P/Nxys1wemVcmUwWZb/Lccjox7ZlyArmiXILZLl4LR7h/viLTuST4JFboFSrgxbJ5f9HZNuIiKiMBFCoMndhAZnA6psVah31MPu8T/zU6fUwagyIlGXyIOg3ibt7bBMvu8wKa7me+RsfXD/k8mU8KrMkPlcEIp9T0opLvhPj4RJfVegJYvFZYHFZUGTq6nN5NnqtrabWDu9zo4XFAZqhRpapdb/Umj3/V+phUapCRlu+dIoNMH3/SXKgTK1Qt0jSe4fu//A+IGdeTo5Uecw6SYiIupFQghY3VbUOepQbi1HvaMeTq8TaoUaRrURsdrYPnmlpC+T+ZwwWDbA1PgnjA3rYLD8hR0jnkZT3L7H+NhMQ0Om8ajiYTMNhcM4GA7DIDiMg+DU5YQk6tT/eSUvrG5rMHludDX6352NIWVNrqaQ8RaXpft6fO4CuUwOvUq/76XUI7YpFkemHAmdSgeDygCtQgtfjQ/JWckwaoz+21lU+g6TZrbEIWqNfxmIiIh6gcvrQq2jFmVNZaix18DhcUCr1MKsMSPZkBzu8KKLENDadsBcvwoxdSthbFgLuQi959TYuDYk6XYY8lCefQnspkLYTEPh0aSwt+5+yOPzoN5Z73852nl31qPB0YB6Zz2a3E29Gp9BZYBRbQy+G9VGGNT7/t98XEhSrdJDp9QF/69WqFu1oPlj+R+4fNrlwWHJJ6HszzKkj2yjp3oiOiBMuomIiHqIECLYdLzEUoImVxNUChViNDFI0id1PAPqdlrbDoxYeRfU7up267g1KZBk6tBCuRJlA9u435UinsvrQo29BjWOGv/73ledow71znoUVBTggfcfQL2jHjaPrUdjMagMiNHEwKw1w6wxw6ze+64xt5k4N3/pVXpeRSbqo5h0ExERdTOv5EW1rRollhJU2arg9rlh1piRYc5g0/FeJPdaISmNIWUyydMq4XZpUtEUdyiaYsfCGjMGbm0ar2L3AQ6PA1W2qlbJdI29BrX2WlTbq4O9/u9PGtJQ4io5oGUb1UbEaeMQq40NJs2BV4wmJuT/Jo0p+K7k7QdEUYm/fCIiom7i9rlRaa1EUUMR6hx1UMgUiNPFQavUhju0qKF2liO2+nvE1nwPg+Vv/HX41yHPo/aq4yHJNWiKHQdL/GFojDsMLn0Ok+wI4/a5UWWrQqWtEpXWSlTaKlFhrQj+v9JWCYvL0m3LM2vMiNXGIk4b53/pQt9jtbGI08UhXhuPWG0sVAr2Kk9Encekm4iI6CC5fW5UWCuwq34X6hx10Kv0SDWm8qpWL1F4LIir/gbxlV/C1LguZFxM3QrUpZwQHPaoE7Fu0nchvYtT73N4HChrKkNpU2nwvXlSXeuoPehlaBQaJOoTW72S9ElI1CciXhePeF08dq3YhVum39INn4qIqG08GiAiIuoin+RDhbUCO+p3oNZeC71KjwxTBu+77A2SFzF1K5BQ8X+IqV0BufC0quLQ50KgxRVsmZwJdy/wST5U2ipRailFaVNpMLkOJNh1jrouz1spVyLFkIIUQwqSDcltJtaJ+kQYVIZOPW6vSFbU5ViIiDqDSTcREdEBEkKgxl6DnfU7UW4th1ahZbLdywrWXQmjZX2rcod+AOqSj0ND0hQ4DQPCEFn0EEKg1lGL4sZiFDcWY3fjbuxu3I3ixmKUWErgDTzv/ADIIEOiPhEpRn9SnWpM9SfYzYbjdfHsG4GI+hQm3URERAfA5rZhR/0OFDcUQ0AgzZjGZuQ9TYhW91w3JkwKJt0eVQLqUqajNuUkOIwFvD+7m7m8LhQ1FmFX/S4U1RdhS9EWVO+pxh7Lni719p2kT0K6KR0ZpgxkmDOQbkr3v4zpSDIk8fdERP0O92pERESd4JN8KG0qxbbabbC4LEjSJ0Gn0oU7rH5N5nMiseILJJV+gO0jn/P3Kr5XTeqp0DdtQk3aabDETQSYqB00j8+D3Y27saN+B3bW78SOOv97SVMJJCF1ej4ahQZZMVnIMmeFJNYZpgykGdOgUbJ5PxFFF/6FIiIi6kCDswHbareh1FIKg9qALHNWp+4Vpa5RumqQXPoBkso+htLbCABILnkPJYNuCtbxahKxc/jj4QqxTxNCwOV14efdP2NL7RZsq9uGHfU7sKdxD3zC16l5yGVypJvSkR2TjZyYHGTHZAf/n2xIZvNvIqJmmHQTERG1wyf5sLthN7bVb4PT40SqMZWPCupBKmclUovfRGL54lYdo6mdZW02M6f980k+FDcWY0vtFmyp3YKttVuxpXYLjnMeh/dL3u9weo1CgwFxAzAwdiAGxg1EjjkH2lItxhw6Blo1H4VHRNQZTLqJiIjaYHVbsaVmC4obi2HWmJFpzgx3SP2WylmxN9n+LCTZFjIF6pKnozLzn3CYhoQxwr5BCIE9lj3YULUBG6o2YGPNRmyr3QaXz9XhtGqFGrkxuRgY50+u8+LzkBeXhzRjWkgHgZJPQlltGdQKdU9+FCKifoVJNxERUQvlTeXYVLMJjc5GpBnTeHW7Bxkb1mDw+msgF/t6uvbJdajOOBtVGefDo00JY3SRrcHZgA1VG/B39d/Bd4vL0uF0cdo4xCEOM/JnoCCxAPnx+ciKyWIHZkREPYR7VyIior28khc76nZgW+02KOVK3rvdC2ym4fCq4qF2V8Gn0KMq41xUZl4Inzo23KFFFElI2FG3A2sr1mJ95XpsqNqA0qbSDqfLNGeiIKEA+Qn5KEgoQEFCARL1iVjzzRqMP3R8L0RORERMuomIiADYPXZsqt6E4sZixOviYVQbwx1S/yN5obduht08PFgkFBqUDbgCGkcpKjP/yWR7L4/Pg401G7G2fC3WVazD+sr1aHI37XeaeF08hiUNw7CkYRiePBzDkobBpDH1UsRERNQeJt1ERBT16h312FC1ATX2GjYn7yGm+tXI2vY4NI49+HvCR3DrMoLjatNOD19gEcIrebGhagN+K/0Nf5b/iQ1VG/Z7L7ZGocGQxCEYnjwcw5OGY1jyMKQZ09gyg4goAjHpJiKiqFbeVI4NVRvg9DqRac7ko466mdJVg8wdzyKh6qtgWcbOF7Br2MNhjCr8hBDYUb8Dv5X+htWlq/FnxZ+we+zt1o/TxmF06miMSR2DMaljMDhhMO/BJiLqI7i3JiKiqCSEwO7G3fi76m8o5Uqkm9LDHVL/InxIKvsY6TtfgtJnDRbbTMNQlXleGAMLnxp7DX7d8yt+L/0dq8tWo9ZR227dNGOaP8FO8yfZOTE5vIpNRNRHMekmIqKoE+iUalPNJhhVRsRoY8IdUr+is25Dzub7YLBuCpZ5lWaUDpyDmrTTgChpTSAJCZtqNmFF8QqsKF6BTTWb2q2boEvAhIwJmJAxAYekH4JUY2ovRkpERD2JSTcREUUVSUjYVrsNm2s2I1Ybyw7TupPwInX320grej3kEWA1qaegdOB18Krjwhhc77C6rVhVsgq/7PkFv+75td2r2XqVHuPSxgWT7Ly4PF7JJiLqp5h0ExFR1JCEhK21W7GpehMSdAkwqA3hDqlfUficSCr7JJhwO/QDsTv/DthiR4c3sB5W76jHD7t/wHe7vsPvpb/DJ3xt1stPyMcRWUfg8KzDMTx5OO/JJiLaSxISnF4nHB4HHD4HhCSgUqj6TT8r3NsTEVFUaJ5wJ+oToVfpwx1Sv+NTGrG74D8Y9NcNqMiegfLcyyHk6nCH1SNq7DX4vuh7fLfrO6wpXwNJSK3qaJVaTMiYgCOyjsCkrElIMaaEIVIiosjj8Xng8Dpg99jh9rkhl8mhVWlhUBmQHZsNs8YMnVIHs8Yc7lC7BZNuIiLq94QQwSblTLi7j9JVAyFXQpLvOyiyxB+GDYd+Creu/3VMV2Wrwre7vsV3u77Duop1EBCt6qQaU3FU9lE4MvtIjE0bC41SE4ZIiYgii8fngc1jg91jh1fyQq1QQ6vUIs2Yhnh9PIxqIwwqA7RKbb+81YZJNxER9WtCCH+nadWbEK+LZ8LdTUz1v2PAxrtgMxVi29AnQsb1p4Tb6rbiu13f4avtX+GPsj/aTLQzzZmYMmAKjh1wLIYmDu2XB4xERJ0lhIDL54LNbQtpKq5T6ZAdk40EfQKMaiOMamPU3GYTHZ+SiIiiVnFjMTbVbEKcLo73cHcH4UNa0RtI2/0GZBCIrVuB5PKPUIYjwh1Zt/H4PFhZshJfbf8KP+3+CS6fq1Wd3NhcTBkwBVMGTMHg+MFMtIkoagkhgk3FnV4nhBDQqrQwqozIjs2GSW2CQW2IqiS7pej81EREFBXKmsqwoWoD9Co9eynvBkp3LQZuvAOmhjXBssa4w1CXOBWocIYxsu6xvW47PtvyGb7c9iUaXY2txmeZs3D8oOMxbeA0DIwbGIYIiYjCzyf54PA6YHPb4Pa5IZPJoFVqYVQbkRubC7PGDJPGBIPKwBOSezHpJiKifqnWXosNVRuglCsRq40Ndzh9nq5pMwZt+BfUrkoAgIACpQOuRmX2DEgSAJSFNb6usrltWL5zORZvWYwNVRtajY/VxmL6wOk4cfCJGJY0jAeQRBR1JCHB7rEHr2TLZXLoVXokGZKQqE/034+tNkCn1HEf2Q4m3URE1O9Y3VZ899t30KXrkGZKC3c4fV5c1XLkbr4XcsnfzNqtTsbOoQ81exRY6567I5kQAn9X/43Fmxdj2c5lsHvsIeM1Cg2OyjkKJw0+CRMzJ0Ztc0giil5OrxNWtxUOjwNlTWXQq/SI18cjSZ8Ek9oEs8bMjiIPAP+KEBFRv+LxebCxeiNKdpTgyPwjwx1O3yYkpBe9irTd84JFVvNI7Bj2GLyaxDAG1jVunxsV1grMWDwDm2o2tRqfH5+P04ecjuMHHd9vHlNDRNRZjc5GOCQHvJIXGqUGZrUZw4cPx8iskTBrzNAqteEOsc9i0k1ERP2GEAJba7dij2UPm7l1E61tV/D/NamnoDj/9j737O0qWxU+2vgRPt38KaY7p2MT9iXcBpUBx+Udh9OHnI7CxEJ+Z4goKnglL+weO2xuGzweD+SQQy6TIyc2B/G6eP992WoTZDncJ3YHJt1ERNRvFDcWY3vddqToU1Ajqwl3OH2fTI6iwrlQry1DXcoJqMq8AOhDSen6yvX474b/4rtd38EnfCHjhiQOwTlDz8H0gdOhU+nCFCERUe8JNhn3OiCTyWBUGZEZk4lYVSzW71iPw7MOh1bDq9k9gUk3ERH1C7X2Wmyu2Qyj2sgk6mAIEZJYSwodNo99E+gj9zVLQsIvxb/grfVvYV3lupBxCpkCybpkzJs6DyOTR/KqNhH1az7JB7vHDqvbCo/kgVaphVljRl5cHmJ1sTBrzFAr1PB4PFiP9VDIFeEOud/qG39BiYiI9sPhcWBj9UZ4fB4k6vvevcaRQte0BTlbH8SOYY/Bo03dN6IPJNxeyYul25di4V8LsbN+Z8i4OG0cziw8E2cVnoXiX4sxKmVUmKIkIupZHp8HTe6mYAeRBpUBmTGZSNQnIkYTA6PayBOOYRD5f0WJiIj2QxISttRuQbW9GlnmrHCH02cZ6//AoA3/gsJnw+C/5mDLmDfgU8WEO6wOOTwOLN6yGIv+twgV1oqQcQNiB+CikRfh+EHHQ63w34dejOJwhElE1GNcXlcw0VbKlTBrzMiOyQ7em81exsOPSTcREfVpxY3FKGooQqohFXKZPNzh9EkxNT9i4N+3QS48AACf0ghAhDeoDji9Tny86WO8tf4t1DnqQsaNTB6JGaNm4Kico/idIKJ+RwgRbDbu8rmgVqgRp4vD4ITBiNXGIkYTw6biEYZJNxER9Vl1jjpsqdkCk9rEM/ldFFv9PQZuvA2yvR2NNcQfgZ3DHoFQRGZnOm6fG59u/hQL1i1AjT20s7xJWZNw8aiLMTp1NJtPElG/Y/fYYXFZ4Pa5oVfpkWhIRIohBTHaGJg1Zp5kjGBMuomIqE9y+9zYUrMFbp+b93F3UWz1txi48Y5gwl2bfAKKhtwTkfdwe3wefL71c8xfOx+VtsqQcVMHTMWsMbMwOGFwmKIjIuoZTq8TFpcFTq8TOpUOKcYUpBpTEaeNg0FtCHd41EmR91eViIioE3bW70SZtQxZJt7H3RWxVd9g4MY7IcPehDvlJBQNuRuQRVaTRElIWLZjGV5a/RLKrGUh447JPQZXjL2CyTYR9SuBe7RtHhu0Si3idfFIN6UjXhcPo9oY7vCoC5h0ExFRn1Nlq8KOuh1I1CXyvrUuiKtahgEb7wom3DWpp2B3wX8iLuFeU74Gz656FhtrNoaUH5l9JK4cdyWGJA4JU2RERN3LK3nR6GyEzWML3qOdn5Af7AyNt8z0bUy6iYioT3F6ndhSswUAeMa/iwyWDc0S7tOwu+BOIILuBSxqKMLzvz+PH3f/GFI+MWMirhp/FYYnDw9TZERE3ccn+dDkboLVbYVMJkOMJgZ58XmI18UjRhvDe7T7ESbdRETUZwghsL12Ox8PdpBK8m6ETPJAJrwozr89YhLuekc9XvvzNXyy6RP49t5nDgCD4wfj+kOvx8TMiWGMjojo4DVPtAH/yePB8YORbExGnDaOrbf6KSbdRETUZ1TaKrGzYSeS9cm8AnAwZDLsGfxvACIiEm6v5MVHGz/CK2teCR6IAkCiPhGzx8/GSYNP4oEoEfVZkpBgcVlCEu2CxAIk6BIQo42BWqEOc4TU05h0ExFRnxBoVq6UKaFT6cIdTp8i99qgtW6H0zhoX6FMBiD89wiuq1iHx355DFvrtgbLdEodZoyagQtHXMhtTUR9lt1jR4OzAT7hg0ltQkFiAeJ18YjVxjLRjjJMuomIqE/YWbcTtY5aNis/QGpnOYyN61Gw7l5sH/EMbDGjwh0SAKDWXovnf38eS7YtCSk/Jf8UXHPINXwMHBH1SR6fB40uf4doepUeGaYMpJnSkKBPYKIdxZh0ExFRxKu116KosQiJukQ2Kz8ASncdBq+/Bhulw6D0NiFj54vYOvrVvVe5w0MIgc+3fo5nVj2DJndTsDw/IR+3TroVo1Ii46QAEVFneSVvsPm4Uq5ErDYWg+MHI8mQBJPGFO7wKAIw6SYioojmk3zYXrcdXskLg9oQ7nD6DJnPhbwNN0PrKAZwGJy6HOwc9mhYE+49jXvw4M8P4o/yP4JlRrURs8fPxlmFZ/G+bSLqUxweB+qd9ZCEhFhtLEYkj0CcLg6x2ljuzygEk24iIopopU2lKGsqQ7opPdyh9B1CIHfLfTBa/gIASHINto56EV51XFjC8UpeLPrfIry25jW4fK5g+QmDTsCNE29EvC4+LHERER0or+RFk6sJTe4maJQapJvSkWHOQIIuASqFKtzhUYRi0k1ERBHL6rZia81WGNVGKOX8k9VZabtfR3zV1wAAn1wLW8wIeLSpYYlle9123Pvjvdhcs3lffMY03HHEHTgs67CwxEREdCAkIcHqtsLisgAywKw2Y1jyMKQYUmDWmCELYwsi6ht4BENERBFJCIHtddvR5G5i52kHIK5yKdKLXgMACMiwa+gD8K019nocPsmHd/73Dl754xV4JA8AQC6T4/xh5+Oq8VdBr9L3ekxERAfC6XWiwdkAt88Nk9oUfJ52rDaWJ4LpgPDbQkREEanKVoXixmIkG5J5FaGTDI3rkbv5vuBw6cDr0Jg4GcAf7U7TE0osJbjnh3uwvnJ9sGxg7EDcffTdGJ48vFdjISI6ED7JB7fPjeLGYqgVaiQZkpBhykCCPgFapTbc4VEfxaSbiIgijlfyYmf9TihkCh7kHAB90ybIhRsAUJ12OiqzLuzV5Qsh8PGmj/H0qqfh9DoBADLIcOHIC3HVuKugUWp6NR4ios5yep2od9TDJ3xIHZCKEckjkGhIRIwmhid+6aAx6SYioohTailFubUcGaaMcIfSp1Rnng+PJgkJFUtQPPi2Xu2pvMnbhGe+ewY/7P4hWJZhysC9R9+LMWljei0OIqLOkoQEi8sCi8sCjVKDNFMa0k3pSBycyE7RqFsx6SYiooji8Diwo34HTGoT75nrgoakKWhIPLZXE+51Fetwx5Y7UOOpCZadOeRM3DDxBt67TUQRxyt5Ue+oh91rR4wmBkOThiLVmMpO0ajH8GiGiIgiyh7LHjQ4G5Btzg53KH2CwtMEn8oUWthLB40+yYcF6xbgtT9fgyQkAECMJgZ3H303js45uldiICLqrGATcviQoE3A0OShSDYk8zYm6nFMuomIKGI0uZqwq2EX4rRxvNrQCfqmTchfdxVKBs5BTfpZvXp1u9Zeizu/uxN/lO/rpG1s6ljcf8z9SDGm9FocREQdsbltqHfWQylXIs2UhgxzBhL1iWxNRb2G3zQiIooYRQ1FsLvtSIxJDHcoEU/hacDADf+GwmdDzrZHICn0qEs9sVeWvb5yPW775jZU26sB+B8Fdl7Kebju+OugUvE+SCIKP5/kQ6OrEU3uJuhVeuTG5iIrJosndSksmHQTEVFEqHPUYY9lDxL1TLg7JHwYsPEuaFzlAACreQTqk6f1/GKFwAcbP8BTK5+CT/gAAEn6JDww+QGklKVAIVf0eAxERPvj9rlR56iDR/IgThuHUSmjkGxIhklj6nhioh7CpJuIiMJOCIHdDbvhkTzseKsTUncvQEz9SgCARxWHnUMfgZD37BVmh8eBB39+EEt3LA2WjUsbh4eOfQhxmjiUlZX16PKJiPbH4XGg1lkLGWRINiQjOyYbSfok9kJOEYFJNxERhV2NvQYllhIk6niVuyOGxr+QXvQ6AEBAjl1DH4JH27P3UJc1leGmZTdhe932YNlFIy/CNYdcA6VcCckn9ejyiYjaY3Vb0eBsgFKuRLY5G1kxWYjXxUMuk4c7NKIgJt1ERBRWkpBQ1FAEIQR7kO2A3GvFgE3/gQz+pt3lObPQFHdIjy5zXcU63Lz8ZjQ4GwAAepUedx91N6YOnNqjyyUiao8QAo2uRlhcFuhVegyIG4BMcybv16aIxaSbiIjCqtpWjXJrOZIMSeEOJeJlb30UGqe/GbfVPBLlObN6dHlfbP0CD/78ILyS1798czaenP4kBsQN6NHlEhG1RRISGp2NsLgtiNHEYHjycKQaU3m/NkU8Jt1ERBQ2gavccsihVqjDHU5Ei6/4EglVXwEAfAoDdhU+APTQ4258kg8vrH4Bb//1drBsQsYEPDLlEZg15h5ZJhFRe7ySFw3OBtg9dpg1ZoxKGYUMcwZbR1GfwaSbiIjCptpWjQprBVIMfK5zR1zadLg0qdC4KrA7/w64dek9shyHx4E7vrsDPxf/HCw7Z+g5+Ndh/+IzbYmoV7m8LtQ76+GVvIjXxaMwqRDJhmQm29Tn8K8nERGFReAqt0KmYO+ynWCLHY1N499DXPUy1Kcc1yPLqHPU4Yavb8DG6o0AAIVMgVsOvwVnDz27R5ZHRNQWp9eJWoe/J/IUYwqyzFlIMiTxxB/1WfzmEhFRWFTZqniV+wD5VCbUpJ/VI/Pe07gHc5bOQYmlBABgVBvx6NRHcWjGoT2yPCKilpxeJ+ocdZBBhixzFrJispCgS2DnaNTnMekmIqJe55N8KGooglKu5FXu/VC4G+BTxQA9fMC5oWoDbvz6RtQ76wEAyYZkPHf8cxgUP6hHl0tEBAAWlwUNzgZolBqkGlORG5uLRH0ik23qN5h0ExFRr6uyVaHSWsmr3PshkzzIXz8bXnUcigrugkeb2iPLWVG8Ard9exucXicAIC8uD88d/xxSjNw2RNRzmj/2y6A2YGjSUKQaU2HWmJlsU7/DpJuIiHqVT/KhqJFXuTuSWrwAettWwAYM3Hgntoyd1+3L+Gr7V7j3h3vhE/7nfo9LG4cnpj3Bx+8QUY8JJNsNzgbEamMxPHk40kxpMKqN4Q6NqMcw6SYiol5Vba9GlbUKqcaeuXLbH+iatiBttz/JFlCgePAt3b6Mjzd9jEdWPAIBAQCYNnAa5k6ey0e3EVGPsbgsqHfWI0YTg9Gpo5FuSodOpQt3WEQ9jkk3ERH1mkCP5Uq5kr3QtkfyInfzXMj2Xn2uyLkYDtOQbl3E23+9jWd/ezY4fHbh2fj3pH9DLpN363KIiIQQaHI3od5ZD6PaiGFJw5AVkwW9Sh/u0Ih6DY94iIio11TbqlFlq0KyPjncoUSstOL5/mblAOyGQSjPuazb5i2EwKtrXsUba98Ils0YOQNzJszhPZRE1K2EEP4O0lwNMKlNGJo0FJnmTDYjp6jEpJuIiHqFJCQUNxZDBhnv5W6HzrotpFn57iH3QMi7Z10JIfD0qqfx7oZ3g2Wzx8/GJaMvYcJNRN2qybXvyvaI5BFIN6XDoDaEOyyisGHSTUREvaLWXosKawUSdAnhDiUyCR+ytzwY0qzcbirsnlkLgSdXPon//v3fYNnNh92M84ef3y3zJyICALvHjhp7DfRqffDKNpNtIibdRETUC4QQKG4shoCARqkJdzgRKbHsUxibNgAAHPpclOfM6pb5CiGwvX47/rvbn3DLIMN/jvoPTis4rVvmT0Tk8rpQba+GSqHC4PjByInN4VMQiJph0k1ERD2uzlHHq9wd0Fu3Bv9fnH87hPzgexEXQuCZ356B1+IF4E+47zn6Hpycf/JBz5uIyOPzoMZeAwkSsmOykRObg3hdfLjDIoo4EddN6UsvvYQBAwZAq9Vi3Lhx+Pnnn/dbf9GiRRg1ahT0ej3S0tJwySWXoLa2tpeiJSKiziixlMAreaFVasMdSsQqLrgD20Y+j/LsS2GNHXfQ8xNC4Lnfn8Oi/y0Klv3nqP8w4Saig+bxeVDeVI5KWyUSDAmYmDkRo1NHM+EmakdEJd3vv/8+brjhBtx5551Yu3YtjjzySJxwwgkoLi5us/6KFSswY8YMzJo1C3///Tc+/PBDrF69Gpdd1n09vRIR0cGxuCwoayrjwVgnWOIPQ9nA2Qc9HyEEXlz9It7+6+1g2X+OZJNyIjo4kpBQZatCpa0SSYYkTMyciAnpE5BsSGaHjET7EVFJ91NPPYVZs2bhsssuQ2FhIZ555hlkZWXh5ZdfbrP+qlWrkJubi+uuuw4DBgzAEUccgSuvvBJ//PFHL0dORETtKbOUweVz8ZmsvWjBugV4c/2bweGChAKcPuT0sMVDRH2f1W3FHsse6FV6HJJxCManj0eKMQUKuSLcoRFFvIhJut1uN9asWYPp06eHlE+fPh2//vprm9McfvjhKCkpwZdffgkhBCorK/HRRx/hpJNO6o2QiYioE8qsZYjVxIY7jIiUvOddxFd+BQjRbfP8aONHeOmPl4LDt026Demm9G6bPxFFF6/kRVlTGWweG0Ykj8DEzIlIN6Uz2SY6ABHTkVpNTQ18Ph9SUlJCylNSUlBRUdHmNIcffjgWLVqE8847D06nE16vF6eeeiqef/75dpfjcrngcrmCwxaLBQDg8Xjg8Xi64ZNQVwTWPbdB/8dtHT0C29jutCNeFw/JJ/Xq8oUQvb7MA6Gx70bGzuchFx7EVXyJbcOeBmQHdy786x1f49FfHg0OzzlkDs4sOBNrStb06LoIzDuS13dApH8vektX10Nf2tadxe+EX8v14PPufXxhYwWSzcnIi8/zd4Yp+De8v+GxWdd1dp1FTNId0PJ+ECFEu/eIbNy4Eddddx3uvvtuHHfccSgvL8ctt9yCq666CvPmzWtzmocffhhz585tVb5s2TLo9Wz6GG7Lly8PdwjUS7ito4d8lxxlu8p6fbnOBifK/uz95XbWoc5HIBf+P9bV1jSUrW37BHNn/WH5Aw/vfBgC/qvmZyWfhSmeKSj7s6zX1kXF+oP7DL0h0r8XveVg10Nf2Nadxe+EX3vrQb5Ljpq9/6h/47HZgbPb7Z2qFzFJd2JiIhQKRaur2lVVVa2ufgc8/PDDmDRpEm655RYAwMiRI2EwGHDkkUfigQceQFpaWqtpbr/9dtx0003BYYvFgqysLEyfPh1ms7kbPxEdCI/Hg+XLl2PatGlQqVThDod6ELd19CiuK8aGVRuQPDIZSmXv/7kpry9H+tjIbFYdU/cLUv9eAwBwq5NhGX890hW6Ls9vbcVaPP6/x+GD/8rUGQVn4N+H/zt40rqn14Xkk1CxvgKpo1IhV0TMnWttiuTvRW/q6nroS9u6s/id8CuvL0fy6GRU26oBAOmGdJSuK+Xf6yjAY7OuC7Sa7kjEJN1qtRrjxo3D8uXLccYZZwTLly9fjtNOa7u3Vbvd3upATqHw318i2rk/TqPRQKPRtCpXqVT8kkUAbofowW3dv/kkH8od5QAApVIZloNzmUwWmUmB5EX2zmeCgyV51wNqQ5c7Wdletx03Lb8JLp//1qlpA6fhtiNuC7nfsrfWhVwhj8x13kzEfi962cGuh76wrTuL3wn/cbNbcqPKUYUUcwry4vIQo4pB6bpS/r2OItzWB66z6ytikm4AuOmmm3DRRRdh/PjxOOyww/Daa6+huLgYV111FQD/VerS0lIsXLgQAHDKKafg8ssvx8svvxxsXn7DDTdgwoQJSE/nGUsionCpddSi1lYb7jAiUnLpB9A6dgMArOZRqE+e3sEU7auyVeH6pdfD5rEBAA7PPBz3Tb6PHRwRUae5vC5U2iqRnJuM8enjkWpMhUKu4P29RN0oopLu8847D7W1tbjvvvtQXl6O4cOH48svv0ROTg4AoLy8POSZ3RdffDGamprwwgsv4F//+hdiY2Nx7LHH4tFHH21vEURE1AtKLaWQyWTB+4vJT+muR1rRawAAARn2DL4Z6OKzbW1uG25YegMqbZUAgKFJQ/Ho1EehUvAqBRF1zOFxoNZRC4VMgeyYbBTkFcCoNoY7LKJ+KaKSbgCYPXs2Zs+e3ea4N998s1XZnDlzMGfOnB6OioiIOqvR2YgKawVitbGoR324w4ko6btehtJnBQDUpp4Ku6mwS/PxSl7c+s2t2Fq3FQCQYcrA09Ofhk7V9fvCiSg6eCUvKmwVUMlVyI3NRaY5E/G6+HY7LiaigxdxSTcREfVtVbYqOL1OJGoTmXQ3o2vagsTyTwEAPoUBpQPbPsHcESEEHvr5IawqXQUAiNHE4Nnjn0WCPqHbYiWi/qnB2QCLy4JMcyby4vMQr4sPd0hEUSG6e40gIqJu5fa5sceyB2YNnwbRklcdh7rk4wEA5Tmz4FV3LUmet3YePt/6OQBArVDjyelPIjc2t7vCJKJ+KLBvloSEMWljMCZtDBNuol7EK91ERNRtauw1sDgtSDelg7dzh/JoklE09H5UZZ4HhzG/S/NYtmMZXlnzSnB47tFzMTp1dDdFSET9UZ2jDnaPHTkxORgUPwgmjSncIRFFHSbdRETULYQQKLWUQqVQQSFXQPJJ4Q4pItnNw7s03abqTZj749zg8JwJczAtb1p3hUVE/Yzb50alrRImtQlj08Yiw5wBuYyNXInCgUk3ERF1i0ZXI6psVYjVxoY7lMgiRJd7KA+osdfg5uU3B5/FfUr+KZgxckZ3REdE/VC9ox5Wj5VXt4kiBE93ERFRt6iyVcHj80Cr1IY7lIgh99oxZM0MJJR/Bghfl+bh8rpwy/Jbgo8GG5kyErcfcTt7GiaiVjw+D/Y07oGAwNi0sRiVOooJN1EE4JVuIiI6aG6fGyWWEh7ctZBS8g4M1k0wbLkfOtsOlAy66YCmF0LgoRUP4X9V//PPz5CCx6c+DrVC3RPhElEfVu+oh9VtRVZMFgYnDGaHlkQRhEk3EREdtEAHahnmjHCHEjGU7lqk7HkHACBkClSnn33A81j0v0X4v23/BwDQKrV4cvqTfDQYEYVw+9yotFbCoDZgTNoYZJozoZArwh0WETXDpJuIiA5K8w7U2EnPPmlFb0DhswMAqtPOhEuffUDT/176O577/bng8L1H34shiUO6NUYi6tvqHHWweWy8uk0U4Zh0ExHRQWlwNrADtRY09mIklX8CAPDJdSjPveyApq+wVuCO7+6AJPw9wF8+9nJMHTi12+Mkor4pcHXbqDZibNpYZJozedKTKIIx6SYiooNSZauCR2IHas2l73oZsr0dp1VmXQivuvNNwt0+N2779jY0OBsAAJOyJuHysZf3RJhE1AfVO+rR5G5Cdkw28hPy2ZcGUR/ApJuIiLrM5XX5O1BT86AvQG/5G/HVywEAHlU8KrMuPKDpn171NDZUbQAApBvTcd/k+3gFi4hC7t0OXN3mvdtEfQOTbiIi6rJqezWa3E3IMLEDtYD0XS8H/1+eezkkpaHT03657Ut8uPFDAIBaocZj0x5DjDam22Mkor4l+NztWD53m6gvYtJNRERdEuxATc4O1AIMDesQU78KAODSpqMm7fROT7u9bjse/PnB4PCtk25lx2lEUc4reVFhrYBepee920R9GH+1RETUJY2uRtTYa9iBWjNubSqq006HgALlOZdByFWdms7qtuLfy/8Nl88FADit4DScVnBaT4ZKRBGuwdmA0qZSpBpTMSFjArJjsplwE/VRvNJNRERdUmmthNvnZgdqzXi0qSgu+A8qsi+GW5PaqWmEEHhkxSMothQDAIYkDsG/D/93T4ZJRBFMEhIqbZVQyVUYnTIa2bHZUMp5yE7Ul/EXTEREB8ztc6O0qZTPhG2HW5fZ6bpLti3B0h1LAQAGlQGPTHkEGqWmp0Ijogjm9DpRaatEsj4ZQ5OHIl4XH+6QiKgbMOkmIqIDVmOvQaOzEZnmzieX1FpRQxEe/eXR4PCdR97JdUoUhYQQqHXUwul1YnD8YAxOGMxWRET9CG8MISKiAyKEQFlTGTtQCxACAzfcjKSS/0K2957sznB5Xbjj2zvg9DoBAKcXnI7pedN7KkoiilAenwclTSVQypUYnz4ew5OHM+Em6md4pZuIiA6IxWVBla0Kcbq4cIcSEcx1vyCu5gfE1fyAmNpfsH3U852a7tnfnsXWuq0AgAGxA3Dz4Tf3ZJhEFIEsLgsanA3Iic1BfkI+jGpjuEMioh7ApJuIiA5Ita0aLq8LWgOvxEAIpO96NThYk35Gpyb7oegHfLDxAwCARqHBw1Me5pUtoijilbyotFVCrVBjZMpI5MbmQiFXhDssIuohTLqJiKjTPD4PSiwlvBqzV0ztjzBYNwEA7MYCNCQe0+E0VbYq3P/T/cHhGyfeiEHxg3osRiKKLFa3FbWOWqSZ0lCQUMDO0oiiAJNuIiLqtDpHHRpdjUg1du5xWP2aEEgrmhccLMu9EpDJOphE4L4f70OjqxEAcEzuMTir8KweDZOIIoMQAlW2KggIDEsahoFxA6FSqMIdFhH1AibdRETUaeXWcshkMj4zFoC5bmXIVe7GhCM7nObDjR9iVekqAECSPgn/OfI/kHWQqBNR3+fwOFBtr0a8Lh5DEocgxZgS7pCIqBfxqImIiDrF5rah0laJGE1MuEMJPyGQtnvfVe7ynFkdXuUuaijCs789Gxy++6i7EaPluiTq76pt1fBIHgyKH4RB8YOgU+nCHRIR9TIm3URE1Cm1jlrY3XYkmBPCHUrYGRv/hNGyHgDg0A9EQ+Lk/db3Sl7c/cPdcO19pNg5Q8/BYVmH9XSYRBRGXsmLCmsFjGojRqWOQqoxlS1biKIUk24iIuqQJCSUWEqgU+p40AiEXOWuyLkE6OB55fPXzsfG6o0AgOyYbFx/6PU9Gh8RhVfgUWDppnQMSRzCVi1EUY5JNxERdajB2YA6ex0S9LzKDckLpy4HxoZ1cGuSUZc0bb/VN1RtwLy1/iRdIVPg/mPu5+PBiPqpQGdpkAEjkkcgNy6XfWAQEZNuIiLqWLWtGl7hhVqhDnco4SdXYk/+rSjPmQW1qwLYzwG10+vEPT/cA5/wAQBmjZmFYUnDeitSIupFHp8HFbYKxGpiMTR5KJINyeEOiYgiBJNuIiLaL4/Pg9KmUpjUpnCHElG8mkR4NYn7rfPqmlexu3E3AGBo0lBcOubS3giNiHpZk6sJ9c56ZMdkoyCxAEa1MdwhEVEEYdJNRET7Veeog8VpQbopPdyh9CkbqjZg0f8WAQDUCjXum3wfm5kS9TOSkFBprYRcLmdzciJqF/cKRES0X1W2KsjlcijkinCHElYaexFia35GdfpZkJT6/dZ1+9y478f7IAkJAHDF2CuQG5vbC1ESUW9xep2otFUiSZ+EwqRCJOr33/KFiKLX/rtbJSKiqObwOFBhrYBZbQ53KGGXWrwQmTufxYhVp8DQuH6/deetnYedDTsBAIWJhbhw5IW9ESIR9QIhBGrsNaix12BQ/CAcknEIE24i2i9e6SYionbVOepgdVuRZc4KdyhhpXJVI77yS/+A8MFhGNRu3c01m/HmujcBAEq5EvccfQ+bmxL1Ey6vC5W2Spg1ZoxLH4cMUwYfo0hEHeJRABERtavcWg61Qh31B5XJJf+FXHgBANUZ50BSGtqs55W8uO+n+4K9lV86+lIMim8/QSeivkEIgVpHLZxeJ3JjczE4YTA7SyOiTmPSTUREbWpyNaHGXgOzJrqblsu9ViSVfQQAkGQqVGWc127dt9a/ha21WwEAg+IH4ZLRl/RKjETUcwKPAjOpTRiXPg7ppnTIZbxDk4g6j0k3ERG1qc5RB4fHgSR9UrhDCauksk+h8NkAALWpJ7X7mLCihiK88ecbAACFTIF7jroHKoWq1+Ikou5ndVtR56jjo8CI6KAw6SYiolYkIaG0qRQ6pS7coYSVTPIgueQ9AICADJVZbXeIJoTAQysegkfyAAAuHHkhCpMKey1OIup+NfYauH1uDE0airz4PPbNQERdxr0HERG10uhsRL2jHnHauHCHElZxVV9D7a4CADQmHAWXPrfNeku2LcGf5X8CADJMGbh87OW9FSIRdTOf5EO5rRwGpQFj08Yi3ZQe9f1aENHBYdJNRESt1Npr4fa5oVFqwh1K+AgJqcULg4MV2TParNbgbMAzq54JDt826TZoldqejo6IeoDL60KFrQKpxlQMTRqKWG1suEMion6ASTcREYXwST6UNpXCoGq7h+5oobUXQeMsBQBYzaNgixnVZr1nVj2DRlcjAOC4vONwWNZhvRYjEXWfRmcjLG4L8uLyMCRxSHSfdCSibsWkm4iIQjQ4G2BxWaK+AzWnYSD+mvh/SC77ADbziDbr/FH2B5ZsWwIAMKqNuHHijb0ZIhF1AyEEypvKoVQoMSplFHJic9g7ORF1KybdREQUosZeA5/wsedtAD51LMpzr2hznNvnxkMrHgoOz5kwB4n6tns2J6LI5PQ64fA6EKuNxZCkIfwNE1GPYNJNRERBXsmL8qZyGFV8LE5H3lr/FoobiwEAI5NH4owhZ4Q5IiI6ELX2Wji8DgwpHILxGePZFwMR9Rgm3UREFFTvqIfFbUGKISXcoYSNwmOBkCkhKfXt1tnTuAfz187315cpcMeRd7A5KlEf4ZW8qLBWwKAyYFz6OGQUZLB3ciLqUUy6iYgoqNZRCyFEVD+PNrV4ARLLF6Mm7XRUZs2AV936sWlPrnwy+Ezuf474JwbFD+rtMImoC5xeJyptlUg3paMwsRAx2phwh0REUYCn5YmICADg8XlQ1lQGozp6m5bLvXYkli+G0tuE5JL/ApBa1fl5989YsWcFACDFkMJnchP1EVa3FdW2agyKH4SxaWOZcBNRr4neSxlERBSi3lmPJlcT0oxp4Q4lbBIql0DpbQIA1KUcD686IWS8y+vCEyufCA7fcOgN0Kl0vRojER24OkcdHF4HhiUPw8C4gVDIFeEOiYiiCJNuIiICAFTbqgEgeg9GhbT36rZfVeY/WlV5+6+3Udrkf3b3+LTxmDpwaq+FR0QHThISKq2VUClVGJM6BpnmTN6/TUS9jkk3ERHB5XWhwloBk9oU7lDCJqb2F2gd/t7ILbGHwGHMDxlf1lSGBesWAPB3nnbL4bfw4J0ognl8HpRZy5CkT8LQpKFI0Cd0PBERUQ9g0k1ERKhz1KHJ3YQMU0a4Qwmb5JJ3g/9v6yr306uehsvnAgCcN+w85MXn9VpsRHRg7B47qu3VyInJQWFSIfSq9p9GQETU05h0ExERKm2VkEMetY+90lm3wdywGgDg1GWhMeGIkPGrSlbh+6LvAQAJugRcMe6KXo+RiDqnydWERlcjChMLMThhcFQ/jYGIIgP3QkREUc7hcaDKVhXVPfmGXOXOOB9odvLB4/Pg8V8fDw7PmTAnqnt4J4pkDc4G2Dw2DE8ejgFxA6L2RCIRRRYm3UREUa7OUQeb24Z4c3y4QwkLpbsO8ZVLAQBepQm1qaeEjP9w44fY3bgbADAyZSROHHxir8dIRPsnhECtoxZeyYvRqaORZc5inwtEFDF4+o+IKMpVWCugVqij9gBVyFQoz5kFjyoBNWmnQ1Luu/ezwdmA1/98HQAggwy3HHYLr5wRRRiPz4MSSwmUciXGpo1Fdkx21O7PiCgy8Uo3EVEUs7qtqLHXwKwxhzuUsPGpTKjIvQyV2TMgk9wh417/83U0uf3P7T5p8EkoTCoMR4hE1I4mVxPqnHXIiclBfkI+TJrofQIDEUUuJt1ERFGszlEHu8eORH1iuEMJOyFXQ8jVweFd9bvw0caPAABapRbXHHJNuEIjojbU2mvhkTwYmTwSuXG57DCNiCIW905ERFFKCIGypjJoFJpwhxKRnvntGfiEDwAwc9RMJBmSwhwREQVU2aogl8kxOnU0MszR+6hDIuobeGMaEVGUanI3od5RH7W9lmut25G+8wWoneWtxq0qWYVf9vwCAEgxpOCikRf1dnhE1I4aew3kcibcRNR3MOkmIopS9Y56OL1OaJXacIcSFsml7yOt+E0MX3UazLUrguVeyYunVj0VHL7mkGuidh0RRRIhBCqtlZCEhJHJI5FiTAl3SEREncLm5UREUSjQtDxak0mFx4L4yq8AAJJCB2vMmOC4xZsXY2f9TgDA0KShOH7Q8WGJkYj2cXldqLBVIEGXgCGJQ5hwE1GfwqSbiCgKWVwW1DvrEaOJzqblCRVfQCE5AQC1qSdBUhoA+Htzf3XNq8F6N028iY8IIwqzBmcDmtxNGBA7AAWJBdCr9B1PREQUQZh0ExFFoXpnPVxeF7SGKLzSLSQklX4YHKxKPzf4/4XrF6LeWQ8AmDZwGkanju7t6IiomRp7DXzCh9Gpo5Edk82TYETUJzHpJiKKMpKQUNZUFrVXi8x1K6F1lgAALLET4DLkAgCqbdVY9L9FAAClXIlrD7k2XCESRT0hBCqsFdAoNRiVOgqpxtRwh0RE1GVMuomIokyjsxH1jnrEaePCHUpYJJd+EPx/Vca+q9yv/fkaXD4XAOCcoeewV2SiMPFKXlRYKxCrjcXw5OFI0CeEOyQiooPCpJuIKMrU2mvh9rmhUUbf87nVjhKY634FALg0qWhMOAIAsKt+Fz7b8hkAwKAyYNaYWWGLkSiaNTgb0ORqQro5HYWJhTBpTOEOiYjooDHpJiKKIj7Jh9KmUhhUhnCHEhZJpR9BBgEAqE4/G5D7/wy+sPoFSEICAMwcNROx2thwhUgUlSQhocJaAbVSjTFpY5BpzoRCrgh3WERE3YJJNxFRFGlwNsDisiDZkBzuUHqfkBBb+xMAQJKpUJt2GgBgXcU6/Lj7RwBAkj4JF4y4IGwhEkWjwMnAJH0ShiUPQ5wuOm99IaL+i0k3EVEUqXPUwSd8UMqjcPcvk2Pj+PcQV/0N1K4KeNVxEELgud+eC1a5ctyVUfvscqJw8EpelDaVIt2UjpEpI6O2g0ci6t+i8KiLiCg6+SQfyprKorZpOQAIhQZ1qScFh38o+gF/Vf0FABgQOwAn558crtCIoo7H50GZtQxZ5iwMTx4OnUoX7pCIiHoEk24ioigR1U3L2+CVvHhh9QvB4WsnXBudLQCIwsDqtqLWUYsBsQMwNGloVHbsSETRg0cXRERRIpqblst8TghFaLPxJVuXYHfjbgDA6JTROCr7qHCERhR1auw1cPvcGJY0DHnxeVG5TyKi6CIPdwBERNTzorlpucLTiFG/HocBf98OQ+M6AIDb58Yba98I1rl2wrWQyWRhipAoOkhCQllTGeQyOcamjUV+Qj4TbiKKCtzTERFFgQZnAxpdjUgxpIQ7lF6XUPF/UPhsiK9eDo8mEbaY0fh086eosFYAAA7POhyjU0eHN0iifs7tc6PcWo5kfXLU9VDu8/ng8XjCHcYB83g8UCqVcDqd8Pl84Q6HehC3dftUKhUUioN/fCGTbiKiKFBjr4EQIvquKgmBpLKPg4M1aWfC6XVi/tr5wbLZ42eHIzKiqNHkakK9sx4DYgdgSOKQqOkwTQiBiooKNDQ0hDuULhFCIDU1FXv27GFLoH6O23r/YmNjkZqaelDrJsqOvoiIoo9X8qK8qTwqm5YbG/+E1uG/b7spZiychgF4f/1bqHXUAgCOHXAshiQOCWeIRP2WEAJVtioICIxMGYnc2Fwo5Ad/xaivCCTcycnJ0Ov1fS6ZkSQJVqsVRqMRcjnvSO3PuK3bJoSA3W5HVVUVACAtLa3L82LSTUTUz9U76mFxW6KyaXnzq9zV6WfC6rZi4fqFAAAZZLhq3FXhCo2oX/NKXpRbyxGricXQ5KFR99QEn88XTLgTEhLCHU6XSJIEt9sNrVbLRKyf47Zun07nb5lTVVWF5OTkLjc1Z9JNRNTP1Tpqo7JpuUxyI7b6OwCARxWLhqRj8e7aN9HoagQAHD/oeAyMGxjOEIn6JYfHgSp7FbLMWShMKoRRbQx3SL0ucA+3Xq8PcyREdLACv2OPx8Okm4iIWgs0LY/Gg161sxxyjRcAUJt6Kurddiz63yIAgEKmwJXjrgxneET9ksVlgcVlQUFCAfIT8qFSqMIdUlj1tSblRNRad/yOI679wEsvvYQBAwZAq9Vi3Lhx+Pnnn/db3+Vy4c4770ROTg40Gg3y8vIwf/78/U5DRBQt6h31sLgs0Zd0CwkaZ1lwsCbtDLz919uweWwAgFMLTkWmOTNc0RH1O0IIVNuqYffYMSJ5BAqTCqM+4SYiCoioK93vv/8+brjhBrz00kuYNGkSXn31VZxwwgnYuHEjsrOz25zm3HPPRWVlJebNm4dBgwahqqoKXq+3lyMnIopMgQ7Doq1puan+d8h9TgCAJe5QlEKH/274LwBArVDjsjGXhTM8on7FJ/lQbvW3qBmVNApppq53NkRE1B9F1JXup556CrNmzcJll12GwsJCPPPMM8jKysLLL7/cZv2lS5fixx9/xJdffompU6ciNzcXEyZMwOGHH97LkRMRRZ5obloug4BP6e+tvTr9TCxYtwAunwsAcFbhWUgxRl+nckQ9wSf5UNpUimRDMg7JOIQJdz9w8cUXQyaT4dFHHw0pX7x4cUgzWyEEXnvtNRx66KEwGo2IjY3F+PHj8cwzz8But/d22EQRLWKSbrfbjTVr1mD69Okh5dOnT8evv/7a5jSff/45xo8fj8ceewwZGRnIz8/HzTffDIfD0RshExFFtKhtWg7AEn8YmmIPweYxC7BZU4BPNn0CANAqtbh41MXhDY6on3D73ChpKkGaKQ2jUkfBrDGHO6R+SZKArVuB1av975LU88vUarV47LHH9vuM8Ysuugg33HADTjvtNHz//fdYt24d7rrrLnz22WdYtmxZzwdJ1IdETHvDmpoa+Hw+pKSEXn1ISUlBRUVFm9Ps3LkTK1asgFarxaeffoqamhrMnj0bdXV17d7X7XK54HK5gsMWiwWAvze6QE+T1PsC657boP/jtu49FY0VgA+QCzkkXy8cpbUQWGY4lg0AAkCTcRheX/EgPJL/+3b+0PMRp4kLW0zhIoTo0c8c7m19IHp6XfQVXV0PgWlsDhvq3fXIjc31d5gGFffrzXg8Hv86liRIB5Elr10LLFwow6ZNgNMJaLVAYSEwY4bAmDHdGHAzQghMmTIFO3bswFNPPYWnn3465HNIkoQPPvgAixYtwieffILTTjstOG12djZOPvlkWCyWg/rc1LuEEMF3brfWJEmCEKLN3ss7u9+LmKQ7oGXvcEKIdnuMkyQJMpkMixYtQkxMDAB/E/Wzzz4bL774YvC5as09/PDDmDt3bqvyZcuW8bEOEWD58uXhDoF6Cbd17ylDWceVelDF+rZPnPY0Z4MTa1euxZKtSwAAerkeU6QpKPszvOsjHJwNzl753OHa1geit9ZFpDvY9dC4qRFyyLFn7z8KpVQqkZqaCqvVCrfb3aV5/PWXAo8+qkFdnQzp6RJSUgC7Hfj9dzm2bxe49VYXRo70dXPk+04Y3Hnnnbj88stx5ZVXIiMjI9iS1GKxYOHChRg8eDCOOeaY4AWs5mQyWZvlFNmamprCHUJEcrvdcDgc+Omnn1r1HdbZWykiJulOTEyEQqFodVW7qqqq1dXvgLS0NGRkZAQTbgAoLCyEEAIlJSUYPHhwq2luv/123HTTTcFhi8WCrKwsTJ8+HWYzm0WFi8fjwfLlyzFt2jSoVOzttD/jtu4dlbZKrCldgxRjChTyrj1T8mBJPgkV6yuQOioVckXv3M2ks26FTHhhNw1FeX05vvJ9BR/8B6UXjLwABWMLeiWOSFNeX470sek9Nv9wbOuu6ul10Vd0dT1UWarg3e7FsInDkB2XzUditcPpdGLPnj0wGo3QarUHPL0kAR9/LENjIzB8OBBYzTodEB8PbNoEfPKJCocfLiDv5p+cSqWCUqnEP/7xDzz33HN48skn8cYbbwQvZpnNZhQVFWHIkCE8du4nhBBoamqCyWTib7oNTqcTOp0ORx11VKvfc2dPLkVM0q1WqzFu3DgsX74cZ5xxRrB8+fLlIc1Wmps0aRI+/PBDWK1WGI3+exa3bt0KuVyOzMy2HwWj0Wig0WhalatUKiYAEYDbIXpwW/esWmctZEpZRKxjuULea4lYZvGriK39GTZjIVa6L8aSPf6r3AaVAReMvCDiE8KeIpPJeuWz9+a27qreWheR7kDXgyQkVFgroFVp4YUXOfE5EbF/iVQ+n8+/juVyyLuQFW/fDmzeDGRloVVSLZP5yzdtAnbulCE/v5uCDs5fFnzdc889OO2003DzzTcHP4dcLocQosufjSJPoEl54DtLoeRyOWQyWZvHrp3dD0bUWr3pppvwxhtvYP78+di0aRNuvPFGFBcX46qrrgLgv0o9Y8aMYP0LLrgACQkJuOSSS7Bx40b89NNPuOWWW3DppZe22bSciCgaOL1OVNmqYFZH1xUIlasKMbW/+P/vqUNRUwW8kr8Z2PnDz2cnT0Rd5PF5UGIpQZw2DqPTRoc7nKjQ2Oi/h9tgaHu8Xu8f39jYs3FMmjQJ06dPxx133BFSnp+fj02bNvXswon6kYO60u3xeFBRUQG73Y6kpCTEx8cfVDDnnXceamtrcd9996G8vBzDhw/Hl19+iZycHABAeXk5iouLg/WNRiOWL1+OOXPmYPz48UhISMC5556LBx544KDiICLqy+ocdbC6rcgyZ4U7lF6VULEEMvjP1q+PPRbl1nIAe69yD78gnKER9Vlunxvl1nLkxORgaNJQKCOnkWS/FhPj7zTNZgPaasFtt/vHN7vDssc8/PDDGDt2LPKbXVK/4IILcP755+Ozzz5r1SJVCAGLxRJy+ydRtDvgPafVasWiRYvw3nvv4ffffw/pCTwzMxPTp0/HFVdcgUMOOaRLAc2ePRuzZ89uc9ybb77ZqmzIkCHskImIqJlKayVUclV03ZclJCSWf+b/L2R4sqoRgAkAcO6wcxGj5cEf0YFyep2otFViYNxADE0aCrVCzR7Ke8mgQf5eytes8b83350LAZSUAOPH++v1tBEjRuCf//wnnn/++WDZueeei08//RT/+Mc/cNddd2HatGlISkrC//73Pzz99NOYM2cOTj/99J4PjqiPOKDm5U8//TRyc3Px+uuv49hjj8Unn3yCdevWYcuWLVi5ciXuueceeL1eTJs2Dccffzy2bdvWU3ETEVEbbG4bquxVMGlM4Q6lVxkb/oTGWQoA2GIYjU+2+0/G6pQ6/HPEP8MZGlGf5PA4UGmrxKD4QRiWNAxqhTrcIUUVuRyYORNITPTfu22xAF6v/33TJn/5jBmt7/fuKffff3/wsVKA/97fd999F0899RQ+/fRTHH300Rg5ciTuvfdenHbaaTjuuON6JzCiPuKArnT/+uuv+P777zFixIg2x0+YMAGXXnopXnnlFcybNw8//vhjmz2IExFRz6hz1KFsexlGDG97P91fBa5yA8DDjdrgc7nPHXYuYrWxYYqKqG9qcDbA6rZiSMIQFCQWhO0JCNFuzBjg7ruBt97yJ9plZf4m5ePH+xPunnpOd6BlafPnNefk5MDpdIbUk8vluOqqq4J9LxFR+w4o6f7www87VU+j0bTbRJyIiHpOhbUClhILZCOip2m5wmNBXPW3AIBiYcJ/i9cAAOQyOS4ccWE4QyPqc2rsNZCEhNGpo5Edw0eChduYMcCoUf7ezBsb/fdwDxrUe1e4iah7dLk3jMCz3IiIKDJY3VbUOeqgkkfXY3ziq5ZCLtwAgAed6XD7tgAAMkwZiNPFhTM0oj6lxl4DAYHRqaORZkoLdzi0l1yObn8sGBH1ri6fJzvyyCNRUVHRnbEQEdFBqHfUw+6xQy6LrksggablFV7grfKdAACNQoPsmOxwhkXUZwghUGH1H9ONTBnJhJuIqJt1+chs/PjxOPTQQ7F58+aQ8rVr1+LEE0886MCIiOjAVNoqoVaoo6s5qBAoHXAN6hOPxYO2JLh8/nu5zx56Njt+IuoESUgobSqFUW3EuPRxSDelhzskIqJ+p8tJ9xtvvIFLL70URxxxBFasWIGtW7fi3HPPxfjx46HRaLozRiIi6oDNbUOtvRYmdZTd9iOTwZJwOFYPvBWv11oA+K9yXzTyojAHRhT5JCGhrKkMCboEjE0bi0R9YrhDIiLql7p8TzcA3HPPPVCr1Zg2bRp8Ph+OO+44rF69GmPHju2u+IiIqBPqHHWwe+xI0CWEO5SweHfDu3D5XACAMwvPRKI+EUUoCm9QRBFMCIESSwmS9EkYlToq6h4zSETUm7p8pbu8vBzXXXcd7r//fgwdOhQqlQrnn38+E24iol4mhEC5tTz6mpbvZXFZ8NHGjwAAKrkKM0bOCHNERJHN6XVCnaZGpjkTY9LGMOEmIuphXb7SPXDgQAwZMgQffvghTjrpJHz99dc499xzUVJSgltvvbU7YyQiov2wuq2otdciRhMT7lB6VcaOZ2E3DsG8kiLYPDYAwKkFpyLJkBTmyIgil8VlgcVlwSGjD0FBYgH7PiAi6gVdTroXLFiA888/Pzh83HHH4fvvv8fJJ5+M3bt346WXXuqWAImIaP/qHHVwep1INiSHO5Reo3aUIHXP27BJwPtFCgD+53LzXm6i9tXaa+GRPBiRPAK5cblR96QDIqJw6fLetnnCHTB27Fj8+uuv+OGHHw4mJiIi6iQhBMqayqBVasMdSq8KPCbs9UagzucDAByXdxwyzZnhDIsoIgUeCRZ4BvfA+IFMuImIelG373Fzc3Pxyy+/dPdsiYioDRaXBfXOepg15nCH0nskLxIqvoBLAp5o2Fc8c9TMsIVEFKkkIaHUWgqdSoexaWORYc4Id0jUR/z6669ISEjACSecEFJeVFQEmUzW5mvVqlVhipYosh1U7+XtiYuL64nZEhFRC/XOeri8LmgN0XOlO6ZuJdTuGrzRBJR6/WVH5xyNQfGDwhsYUYTxSl6UNZUh2ZCM4cnDEaONrn4f+g1JArZvBxobgZgYYNAgQN7zLRUWLFiAK664Am+//TaKi4uRnZ0dMv6bb77BsGHDQsoSEqLzCRpEHemRpJuIiHpe4Bm7epU+3KH0qsTyxfAK4JH6fWWXjL4kfAERRSC3z41yazlyYnIwNGkodCpduEOirli7FnjrLWDTJsDpBLRaoLAQmDkTGDOmxxZrs9nw4Ycf4ttvv0VdXR3efPNN3H333SF1EhISkJqa2mMxEPUnB3Wa7JdffoHL5Wr1fyIi6nkWlwX1jnqY1NHzuB+lqwYxtSvwkRXY4fGXTUifgOHJw8MbGFEEcXldKLeWY0DsAIxIGcGEu69auxa47z5gzRogPh4YPNj/vmaNv3zt2h5b9Pvvv4+CggIMHjwY//znP7FgwQIIIXpseUT93UEl3SeccAJKS0tb/Z+IiHpenb0Obp8bGqUm3KH0moTK/wOEDw/V7SvjVW6ifZxeJypsFciLy8Pw5OF8JFhfJUn+K9w1Nf4r22YzoFD43wsL/eULF/rr9YB58+bhn//8JwDg+OOPh9VqxbfffhtS5/DDD4fRaAx5+fZ2bElEoQ6qeXnzM148+0VE1Huismm5EEgs/wz/ZwP+5/YXDU8ejvHp48MbF1GEcHgcqLZXoyChAAWJBVDKeRdhn7V9u79JeWYmIJOFjpPJ/OUbN/rr5ed366K3bNmC33//HR999BEAQKlU4rzzzsP8+fMxderUYL33338fhYWFIdMqFIpujYWov+DemIioD2p0NqLB2YAEffR0WqOzbYPGXowHW9zLLWt5QEoUheweO2rttcGEWyFn8tOnNTb67+E2GNoer9cDZWX+et1s3rx58Hq9yMrKCpYJIaBSqVBfv28HnJWVhUGD2IElUWfwIY1ERH1Qrb0WXskbVU1HHcZ8LMi9H6uc/uG8uDwcmX1keIMiigBNribUOepQkMiEu9+IifF3mmaztT3ebvePj+neHum9Xi8WLlyIJ598En/++Sd++ukn/Pnnn1i/fj1ycnKwaNGibl0eUbTglW4ioj7GJ/lQ2lQaXU3L93pt05Lg/y8ZfQnkMp47puhW76iH0+vE8OThGBA3gL+J/mLQIP+922vW+N+bt+gRAigpAcaP99frRkuWLEF9fT1mzZoFk8kEi8UCs9kMuVyOs88+G/PmzcPJJ58MAKitrUVFRUXI9LGxsdBqo+cRlkSdxT0zEVEf0+BsgMVlgVljDncovWpzzWb8VvobACDDlIGpA6d2MAVR/1Zjr4FH8mB02mjkxecx4e5P5HL/Y8ESE/33dlssgNfrf9+0yV8+Y0a3P6973rx5mDp1KmLauIJ+1llnYd26dair8/dkOXXqVKSlpYW8Fi9e3K3xEPUXvNJNRNTH1Dnq4BM+qBSqcIfSe4SEd/56Jzh40ciL2EkURS0hBCptlVAqlBidMhppprRwh0Q9YcwY4O679z2nu6zM36R8/Hh/wt0Dz+n+4osv2h03duzYYMfJ7ECZ6MDwiIWIqA/xSl6UNZXBqDKGO5Reo7Vuh/rP67B8ZzUAIFYbi5PzTw5zVEThEXhygVljxoiUEUjUJ4Y7JOpJY8YA/8/efYdHVaZ9HP9On0nvlSQESEJC6LEgKhYEuyu7il1cse+6tnXtYH/tWFbsoKgo1pVVFxVFUGyASJUe0nsymd7Oef+IjIYaIMkkk/vDlSs5ZWZ+c06YzD3Pc55n+PC2Ucqt1rZruAcN6vQWbiFE1zqoovu2224jISFhl5+FEEJ0jRZ3Cy2eFtIi00IdpdskVf+HR2rrCPzWsHJW0VmY9XLNoOh7dnzolhKZwtDUoX3uEpM+S6vt9GnBhBDd66CK7ltvvXW3PwshhOgaDc4GUOkzXas1ihd91ce80Nq2bNIZOavorNCGEiIEPH4P1fZqsmOzGZIypE8OpCiEEL1V33jXJoQQYcAX8LV1LTf2na7lcQ2LmNXUik1pWz457xQSLNKrSvQtLp+Lemc9AxMGUpRc1KemChRCiHAgF4QIIUQv0exuxuax9amiO7byA55s+X35/KHnhyyLEKFg99ppcDVQkFjA0JShUnALIUQvtN9F93vvvdcVOYQQQuxDvaNtILG+0rXc6Krif+U/UeFvWz46+2j6x/UPaSYhupPNY6PF3UJRchGDkwej0+pCHUkIIcQB2O+i+7zzzuOJJ57Y6z4yjYAQQnQub8BLjb2GaGN0qKN0m4Tqj3i05fflC4ZdELIsQnQ3q9uKzWujOKWYvIQ8mYNbCCF6sf1+Bf/oo4+YPn0611577S7FdSAQYPbs2RQWFnZaQCGEEG1zc9u9dqJNfaToVgOs2fIeKz1ti0MS8xmZ1vlz0grRE1ndVhw+B8UpxQyIH4BGowl1JCGEEAdhv4vuiRMnsnjxYj744AMmTZqEy+XC6/Uyc+ZMBg0axA033MDkyZO7IqsQQvRZ9Y56NBpNn2ntimn6gSfrmoPLFwy/RAoP0Sc0u5px+pwMSx1G/7j+8nsvhBBh4IDevQ0fPpzvv/+erVu3cvjhh5Obm8u0adO47LLL2L59O3fffXdn5xRCiD7L4/dQa6/tU13LSxvW8Kmz7edMSzzH5h4b2kBCdIMGZwNexcvwtOHkxOVIwS1ED7Fo0SI0Gg0tLS0AzJ49m7i4uJBk6d+/PzNmzNjrPl6vl0GDBvHtt992T6g9uOmmm7j22mtDmqGnOKCi22q18sorr1BZWcmmTZtoaWlh4cKF3HbbbURH9503hUII0R2aXE3YffY+NWr5MzU1wZ/PGTalzwweJ/quBmcDKioj0kaQFZsV6jiiD5syZQoajYarrrpql21XX301Go2GKVOmdH+wncyePRuNRhP8Sk9P5+yzz2bbtm1d/tiTJ09m48aNHd6/I4VyZ3rhhRfIyclh7NixwXV/PFZRUVEMHz6c2bNnd2mOm2++mVmzZnXLOenp9rvovvXWW8nJyWH27Nk88MAD1NfXc9ZZZzF+/Hh++umnrsgohBB9Wp2jDi3aPtO1vMHZwKebPwUg2hjN6YP/FNpAQnQhVVWptdcCMDx1OBnRGSFOJARkZWXx9ttv43K5guvcbjdz584lOzs7hMnai4mJobq6mqqqKt58801WrlzJ6aefTiAQ2GVfVVXx+/2d8rgWi4WUlJROua+u8PTTTzN16tRd1s+aNYvq6mp++eUXJk+ezCWXXMKCBQu6LEdKSgoTJkzgueee67LH6C32+x3chx9+yFNPPcXGjRu5/PLLiYyMZPbs2Vx++eUce+yx/Oc//+mKnEII0Se5/W7qHHXEmGJCHaXbvL32bXyKD4BJhZOINEaGOJEQXSOgBKi0VWLSmxiZPpL06PRQRxICgFGjRpGdnc38+fOD695//32ysrIYObL9oJaqqvLwww8zYMAALBYLw4cP59133w1uDwQCXHrppeTm5mKxWCgoKODJJ59sdx9TpkzhT3/6E48++ijp6ekkJiZyzTXX4PP59ppTo9GQlpZGeno6xx57LNOmTWPNmjVs3rw52CV8wYIFlJSUYDKZWLJkyT7zAnzyySfk5+djsVg49thjKS0tbbd9d93LP/roI0pKSjCbzSQlJTFp0iQAjjnmGLZv3871118fbGneYenSpRx99NFYLBaysrK49tprcTgcwe11dXWcdtppWCwWcnNzeeONN/Z6PABWrFjB5s2bOeWUU3bZFhcXR1paGgMHDuS2224jISGBzz77LLj9p59+4oQTTiApKYnY2FjGjRvHihUrgttvvPFGTjvttODyjBkz0Gg0fPzxx8F1BQUFPP/888Hl008/nblz5+4zd7jb76J73bp1XHTRReh07eeKvPfee5kxYwaTJ0/mmWee6bSAQgjRl+0YtbyvFJ4+eznvrWt786PX6pk8RAbmFOHJF/BRYasgOTKZkowSUiJ7bquZ6JumTJnCm2++GVx+5ZVX+Otf/7rLfnfccQezZs1i5syZrF27luuvv54LLriAr7/+GgBFUejXrx/z5s1j3bp13HXXXdx2223Mmzev3f189dVXbNmyha+++opXX32V2bNn73f3Z4vFAtCuWL/55pt58MEHWb9+PcOGDdtn3vLyciZNmsTJJ5/MypUrmTp1KrfccsteH/fjjz9m0qRJnHLKKfz8888sXLiQkpISoO3Din79+nHPPfdQXV1NdXU1AKtXr2bixIlMmjSJVatW8fbbb/PNN9/wt7/9LXi/U6ZMobS0lC+//JJ3332XZ599lrq6ur1mWbx4Mfn5+cTE7PnD+kAgwLx582hqasJgMATX22w2Lr74YpYsWcL3339PXl4eJ598MjabDWj7AGHJkiUoigLA119/TVJSUvDY1dTUsHHjRsaNGxe8z0MPPZTy8nK2b9++19zhbr8vktvboB5Tp04lMzOTyZMnt/uFEUIIcWCqbdUYtIY+07V80Y/TaPW2/XE/OfcYKUREWPIGvFTbq8mNy2Vw0mAsBkuoI4nutP5x+PXxfe+XMArGfdR+3denQ9OK3e//R4NvgMIbDizfby644AJuu+02SktL0el0fPvtt7z11lssWrQouI/D4eDxxx/nyy+/ZMyYMQAMGDCAb775hueff55x48ZhMBjaDbKcm5vL0qVLmTdvHmeffXZwfXx8PM888ww6nY7BgwdzyimnsHDhQi677LIO5a2oqOCRRx6hX79+5Ofn09DQAMA999zDCSec0OG8M2fOZMCAATzxxBNoNBoKCgpYvXo1Dz300B4f+/777+ecc85p9zyHDx8OQEJCAjqdjujoaNLS0oLbH3nkEc477zyuu+46APLy8njqqaeCGcrKyvj000/5/vvvOeywwwB4+eWX9zk1c2lpKRkZu79M5dxzz0Wn0+F2uwkEAiQkJLTrhn7ccceh1f7+fuP5558nPj6er7/+mlNPPZWjjz4am83Gzz//zKhRo1iyZAk33XQT77//PtD2wUlqaiqDBw8O3kdmZmYwV05Ozl6zh7NOH5nmpJNOavefUQghxIGxe+3UO+uJNceGOkq3UL02XixbHVw+b+j5IUwjRNfwBXzBgrs4pRiDzrDvG4nw4msFV+W+93PvZkA9d33Hbutr3f9cO0lKSmLChAm89tprAJxyyikkJSW122fdunW43e5gUbuD1+tt1w39ueee46WXXmL79u3B6YZHjBjR7jZDhgxp15M2PT2d1atXszdWq5WoqChUVcXpdDJq1Cjef/99jEZjcJ8dLc4dzbt+/XoOP/zwdg2NOwr0PVm5cmWHPxzYYfny5WzevLldl3FVVVEUhW3btrFx40b0en27/IMHD97nqOkulwuz2bzbbU888QTjx4+nvLycG264geuvv55BgwYFW67r6uqYPn06X375JbW1tQQCAZxOJ2VlZQDExsYyYsQIFi1ahMFgQKvVcsUVVzBt2jRsNhuLFi1q18oNv/c+cDqd+3V8wk2XDAc7atSorrhbIYToUxqdjTh9TpIjkkMdpVv8tObfbPWpABwTn8Kg5KEhTiRE53L73dQ6asmNy2VIyhApuPsqQwxYMve9n3k3r/3m5I7d1tA544Ccf/75wa7V//73v3fZvqNY+/jjj4MtmjuYTCYA5s2bx/XXX89jjz3GmDFjiI6O5pFHHuGHH35oH9nQ/v+DRqMJ3v+eREdHs2LFCrRaLampqURG7nop1h/XdSSvqqp7fczd2VFY7g9FUbjiiit2O6VWdnY2GzZsAPbey3h3kpKS9vhhRVpaGoMGDWLQoEG88847jBw5kpKSkmDL9CWXXEJDQwMzZswgJycHk8nEmDFj8Hq9wfs45phjWLRoEUajkXHjxhEfH8+QIUP49ttvWbRoUbDlfoempiYAkpP7xnuZPZE5WIQQogdSVZUqWxUWfd/odqqqKq/8+klw+YJhF4UwjRCdz+VzUeesY1DCIAqTCqXg7ssKD6Lr987dzbvY+PHjgwXXxIkTd9leVFSEyWSirKxslxbOHZYsWcIRRxzB1VdfHVy3ZcuWTsmn1WoZNGhQh/fvSN6ioiI+/PDDduu+//77vd7vsGHDWLhwIZdccslutxuNxl1GVB81ahRr167dY/7CwkL8fj/Lli3j0EMPBWDDhg3BucL3ZOTIkcycORNVVfdasA8aNIg///nP3HrrrXzwwQcAfPPNNzz77LOcfPLJQNv17Tu66e9wzDHH8PLLL6PX6xk/fjwA48aN46233trlem6ANWvWYDAYGDJkyF5zh7u+cZGgEEL0MlaPlSZXE7GmvtG1fP32/7HM0db1bKjZyPBBZ+/jFkL0Hg6vgwZXA4MTBzMkWVq4Re+h0+lYu3Yt69ev32UQZWhrab7pppu4/vrrefXVV9myZQs///wz//73v3n11VeBtuJu2bJlLFiwgI0bN3LnnXeGbJrhjuS98sor2bJlCzfccAMbNmzgzTff3OeAbtOmTWPu3LlMmzaN9evXs3r1ah5++OHg9v79+7N48WIqKyuDRey//vUvvvvuO6655hpWrlzJpk2b+Oijj/j73/8OtI0CfuKJJ3LZZZfxww8/sHz5cqZOnbrPVvVjjz0Wh8PB2rVr93k8brzxRubPn8+yZcuAtnM1Z84c1q9fzw8//MD555+/y+PtuK57/vz5HHPMMUBbIf7666+TnJxMUVFRu/2XLFnCUUcddUC9AcKJFN1CCNEDNTob8Qa8mPSmUEfpFnN/fiH48yV5x6HRyp8nER7sXjtNriYKkwoZnDwYnXbXwkWIniwmJmavI2Hfe++93HXXXTz44IMUFhYyceJE5s+fT25uLtBWxE6aNInJkydz2GGH0djY2K7Vu7vtK292djbvvfce8+fPZ/jw4Tz33HM88MADe73PY445hnfeeYePPvqIESNGcNxxx7XrPn/PPfdQWlrKwIEDg92shw0bxtdff82mTZs46qijGDlyJHfeeSfp6b9PHThr1iyysrIYN24ckyZN4vLLL9/n/OCJiYlMmjSpQ9OLDR06lPHjxzNt2jQAXnrpJZqbmxk5ciQXXngh11577S6PFxsby8iRI0lISAgW2EcddRSKouy298DcuXP3+3r3cKRRD+TChTDS2tpKbGwsVqt1ry8oomv5fD4++eQTTj755F2u6RHhRc71vimqwrdl3+L0OUmKSNr3DXay7PNllJxQsu8du5gSUKhaUUXGqAy0uj0X0eXNW5n07tmoQIYOPjz3U7SWg7/2q6cch56gq49FR891T9Cdvxd2r50WdwtDkocwMGHgfl+b2RPJa3jHuN1utm3bRm5u7h4HterpFEWhtbWVmJiYdiNai55v9erVjB8/ns2bNxMdHb3P/bvqXH/88cf885//ZNWqVej1vfeq5r39f+5oLblfR/Wss85Cq9Wi0+k69LVjXyGEEB3X4m7B6rb2ma7l7yx/nB2f/k7NHNQpBbcQoWbz2MKu4BZC9A5Dhw7l4YcfprS0NKQ5HA4Hs2bN6tUFd2fZryMwa9Ysnnvuua7KIoQQgrau5T7F1yeu+2xxt/DB9h8BiNLAacMvD3EiIQ5ei7sFh89BcUoxA+IHSMEthOh2F198cagjtJuHva/br6I7KiqKqKiorsoihBB9ni/go7K1kmjjvruDhYN3172L67cpXC5JiESTekxoAwlxkBqcDQTUAMNTh5Mdmy0FtxBCCBlITQghepImVxNWj5VoU/gX3R6/h3nr5gGg1Wg5cdy/QSN/lkTvtGOaP61Gy8i0keTE5UjBLYQQApB5uoUQokepc9Sh0WjQa8P/5fnTzZ/S5GoC4Pjc40lNLA5xIiEOjKIqVNmqiDPHMTR1KAmWhFBHEkII0YOE/7s6IYToJVw+FzX2GmKM4T+TgqIqvL769eDyhcMuDGEaIQ5cQAlQaaskJTKFoalDiTGF//9fIYQQ+0f68QkhRA/R6GrE7rUTZQz/sTOWli+ltKUUgFFpoyhKLgptICEOwI6COy06jZHpI6XgFkIIsVv7XXSffPLJWK3W4PL9999PS0tLcLmxsTE4UboQQoiOUVWVitYKjDpjn7gO9PVfZgV//meMK4RJhDgwfsVPlb2K1KhUhqUMI8IQEepIQggheqj9LroXLFiAx+MJLj/00EM0NTUFl/1+Pxs2bOicdEII0UdYPVYanY3EmeNCHaXLra9fz7KaXwAoMMC4jBGhDSTEfvIFfFTaKkmPSmd46nAijZGhjiSEEKIH2++iW1XVvS4LIYTYfw2OBrwBL2a9OdRRutwfr+W+IR6aMv4UujBC7CdfwEeVvYqc2ByGp0nBLURfsGjRIjQaTbB37+zZs4mLiwtJlv79+zNjxoy97uP1ehk0aBDffvtt94TqAl11jEtLS9FoNKxcuRKA1atX069fPxwOR6c/1h/JNd1CCBFifsVPpa2yT1zLXW2r5outnwOQrIMzM4pwRw4McSohOsbj91BlryI3LpehqUP7xIdkou+ZMmUKGo2Gq666apdtV199NRqNhilTpnR/sJ3Mnj0bjUYT/EpPT+fss89m27ZtXf7YkydPZuPGjR3evyOFcmd64YUXyMnJYezYscF1X331FcceeywJCQlERESQl5fHxRdfjN/v77Zce9Ldx+ePhg4dyqGHHsoTTzzRpY+z30X3jl/sndcJIYQ4MM2uZlrcLX1iEKa5a+YSUBUArokFR+akECcSomOcPie1jloGxA9gSMoQjDpjqCMJ0WWysrJ4++23cbl+H3PD7XYzd+5csrOzQ5isvZiYGKqrq6mqquLNN99k5cqVnH766QQCgV32VVW10wpMi8VCSkpKp9xXV3j66aeZOnVqcHnt2rWcdNJJHHLIISxevJjVq1fz9NNPYzAYUBQlhEl7hksuuYSZM2fu9vemsxxQ9/IpU6YwadIkJk2ahNvt5sorrwwu//Wvf+2KnEIIEbbqHHUAYT83t81j48NfPwDArIEr4s00p5wQ4lRC7JvD66DR1cjgpMEMTRkqBbcIe6NGjSI7O5v58+cH173//vtkZWUxcuTIdvuqqsrDDz/MgAEDsFgsDB8+nHfffTe4PRAIcOmll5Kbm4vFYqGgoIAnn3yy3X1MmTKFP/3pTzz66KOkp6eTmJjINddcg8/n22tOjUZDWloa6enpHHvssUybNo01a9awefPmYJfwBQsWUFJSgslkYsmSJfvMC/DJJ5+Qn5+PxWLh2GOPpbS0tN323XV9/uijjygpKcFsNpOUlMSkSW0fKh9zzDFs376d66+/fpfGy6VLl3L00UdjsVjIysri2muvbdfNua6ujtNOOw2LxUJubi5vvPHGXo8HwIoVK9i8eTOnnHJKcN3nn39Oeno6Dz/8MMXFxQwcOJATTzyRl156CaOx7fXszTffJCEhgf/+978UFBQQERHBX/7yFxwOB6+++ir9+/cnPj6ev//97+2K0+bmZi666CLi4+OJiIjgpJNOYtOmTe0yvffeewwZMgSTyUT//v157LHHgtv2dnygbTyxwsJCoqKiOPHEE6murm63fdasWRQWFmI2mxk8eDDPPvtsu+0//vgjI0eOxGw2U1JSws8//7zLMZs4cSKNjY18/fXX+zy+B2q/i+6LL76YlJQUYmNjiY2N5YILLiAjIyO4nJKSwkUXXdQVWYUQIux4/B6qbdV9opX7g18/wOlvazWZEgP6jBNQ9HI9rOjZbB4bze5mCpMKKUgqQKfVhTqSEN1iypQpvPnmm8HlV155ZbeNa3fccQezZs1i5syZrF27luuvv54LLrggWMAoikK/fv2YN28e69at46677uK2225j3rx57e7nq6++YsuWLXz11Ve8+uqrzJ49m9mzZ+9XZovFAtCuWL/55pt58MEHWb9+PcOGDdtn3vLyciZNmsTJJ5/MypUrmTp1KrfccsteH/fjjz9m0qRJnHLKKfz8888sXLiQkpISoO3Din79+nHPPfdQXV0dLBpXr17NxIkTmTRpEqtWreLtt9/mm2++4W9/+1vwfqdMmUJpaSlffvkl7777Ls8++yx1dXV7zbJ48WLy8/OJifn9fUVaWhrV1dUsXrx4r7d1Op089dRTvPXWW/zvf/9j0aJFTJo0iU8++YRPPvmEOXPm8MILL7T7kGLKlCksW7aMjz76iO+++w5VVTn55JOD52D58uWcffbZnHPOOaxevZrp06dz5513Bs/tno7PjjyPPvooc+bMYfHixZSVlXHTTTcFt7/44ovcfvvt3H///axfv54HHniAO++8k1dffRUAh8PBqaeeSkFBAcuXL2f69Ontbr+D0Whk+PDhLFmyZK/H52Dsd7PKrFmz9r2TEEKIDtkxN3dmTGaoo3QpX8DHW2vfAkADXB8HDel/CmUkIfap0dmIN+ClOKWYAfED5HI6cdBKXiihxl7T7Y+bFpXGssuX7ddtLrjgAm677TZKS0vR6XR8++23vPXWWyxatCi4j8Ph4PHHH+fLL79kzJgxAAwYMIBvvvmG559/nnHjxmEwGLj77ruDt8nNzWXp0qXMmzePs88+O7g+Pj6eZ555Bp1Ox+DBgznllFNYuHAhl112WYfyVlRU8Mgjj9CvXz/y8/NpaGgA4J577uGEE07ocN6ZM2cyYMAAnnjiCTQaDQUFBaxevZqHHnpoj499//33c84557R7nsOHDwcgISEBnU5HdHQ0aWlpwe2PPPII5513Htdddx0AeXl5PPXUU8EMZWVlfPrpp3z//fccdthhALz88ssUFhbu9TiUlpaSkZHRbt1ZZ53FggULGDduHGlpaRx++OEcf/zxXHTRRe2Kc5/Px8yZMxk4sG2slb/85S/MmTOH2tpaoqKiKCoq4thjj+Wrr75i8uTJbNq0iY8++ohvv/2WI444AoA33niDrKwsPvzwQ8466ywef/xxjj/+eO68804A8vPzWbduHY888ghTpkzZ4/HZkee5554L5vnb3/7GPffcE9x+77338thjjwV7FeTm5rJu3Tqef/55Lr74Yt544w0CgQCvvPIKERERDBkyhIqKit2OV5CZmblLj4bO1CV9GVeuXMmIESO64q6FECKs1Nhq0Gv1aDXhPa7l51s/D3ajPz0SsuIGsC5mWIhTCbFnDc4GVFRGpo8M+w/FRPepsddQaasMdYwOSUpKYsKECbz22msAnHLKKSQlJbXbZ926dbjd7mBRu4PX623XDf25557jpZdeYvv27bhcLrxe7y61wpAhQ9Dpfu9Jkp6ezurVq/ea0Wq1EhUVhaqqOJ1ORo0axfvvvx/sMg0EW5w7mnf9+vUcfvjh7T5k21Gg78nKlSs7/OHADsuXL2fz5s3tuoyrqoqiKGzbto2NGzei1+vb5R88ePA+R/R2uVyYze0HedTpdMyaNYv77ruPL7/8ku+//57777+fhx56iB9//JHU1FQAIiIiggUuQGpqKv379ycqKqrduh2t7evXr0ev1wc/FABITEykoKCA9evXB/c544wz2uUZO3YsM2bMIBAItDvnO9s5T3p6evCx6+vrKS8v59JLL2137P1+P7GxscHHHj58OBEREcHtezqXFosFp9O5xywHq9OKbqvVyhtvvMFLL73EL7/80qUXogshRDiwe+3UO+uJNceGOkqXUlWV11f9Pk3YFTkjqM8YD9JqKHqoHQX38NThpEenhzqOCCNpUWn73qkHPe75558f7Fr973//e5ftOwbh+vjjj8nMbP/hlMlkAmDevHlcf/31PPbYY4wZM4bo6GgeeeQRfvjhh3b7GwyGdssajWafg3xFR0ezYsUKtFotqampREbuesnSH9d1JO+BTIe8o1v7/lAUhSuuuIJrr712l23Z2dls2LAB2P8Bq5OSkvb4YUVmZiYXXnghF154Iffddx/5+fk899xzTJs2Ddj9OdjbednTsVJVNZj7jz//cXtH7O6xd9x2R4YXX3yxXdEPBAv5/TmXTU1N7Qr8znbQRfeXX37JK6+8wvvvv09OTg5//vOfefnllzsjmxBChLVGZyMOn4OkiKR979yL/VT1Exub2qZWGZI8hOQjXqReCm7RA6mqSo29BqPeyLCUYVJwi063v128Q238+PF4vV6gbbCpnRUVFWEymSgrK2PcuHG7vY8lS5ZwxBFHcPXVVwfXbdmypVPyabVaBg0a1OH9O5K3qKiIDz/8sN2677//fq/3O2zYMBYuXMgll1yy2+1Go3GXBslRo0axdu3aPeYvLCzE7/ezbNkyDj30UAA2bNgQnCt8T0aOHMnMmTN3W+z+UXx8POnp6Qc1P3VRURF+v58ffvgh2L28sbGRjRs3BrvBFxUV8c0337S73dKlS8nPzw8Wx7s7PvuSmppKZmYmW7du5fzzz99jvjlz5uByuYIfjOzpXK5Zs4a//OUv+5VhfxxQ0V1RUcHs2bN55ZVXcDgcnH322fh8Pt577z2Kioo6O6MQQoQdRVWotFUSoY/Y98693Btrfu86d+GwC+W6WNEjKapCla2KWFMsQ1OHkhiRGOpIQoScTqdj7dq1aLXa3XYDjo6O5qabbuL6669HURSOPPJIWltbWbp0KVFRUVx88cUMGjSI1157jQULFpCbm8ucOXP46aefyM3N7fbn05G8V155JY899hg33HADV1xxBcuXL9/ngG7Tpk3j+OOPZ+DAgZxzzjn4/X4+/fRTbr75ZqBtHurFixdzzjnnYDKZSEpK4l//+heHH34411xzDZdddhmRkZGsX7+ezz//nKeffpqCggJOPPFELrvsMl544QX0ej3XXXfdPlvVjz32WBwOB2vXrqW4uBiA559/npUrV3LmmWcycOBA3G43r732GmvXruXpp58+4OOZl5fHGWecwWWXXcbzzz9PdHQ0t9xyC5mZmcEu5TfeeCOHHHII9957L5MnT+a7777jmWeeaTfK+O6OT0dMnz6da6+9lpiYGE466SQ8Hg/Lli2jubmZG264gfPOO4/bb7+dSy+9lDvuuIPS0lIeffTRXe6ntLSUyspKxo8ff8DHYl/2+yLCk08+maKiItatW8fTTz9NVVXVQZ0sIYToi6xuK82u5rAftXy7azvfVX4HQGZ0Jsf0Pya0gYTYDV/AR3lrOUkRSYzKGCUFtxB/EBMT026wrZ3de++93HXXXTz44IMUFhYyceJE5s+fHyyqd0wtPHnyZA477DAaGxvbtXp3t33lzc7O5r333mP+/PkMHz6c5557jgceeGCv93nMMcfwzjvv8NFHHzFixAiOO+64dt3n77nnHkpLSxk4cCDJyclAW+v4119/zaZNmzjqqKMYOXIkd955J+npv/ewmTVrFllZWYwbN45JkyZx+eWX73N+8MTERCZNmtTuWvFDDz0Uu93OlVdeyZAhQxg3bhzff/89H3744R5b/Dtq1qxZjB49mlNPPZUxY8agqiqffPJJsGv4qFGjmDdvHm+99RbFxcXcdddd3HPPPUyZMmWvx6cjpk6dyksvvcTs2bMZOnQo48aNY/bs2cFzGRUVxfz581m3bh0jR47k9ttv3+2AeHPnzmXChAnk5OQc1LHYG426nxcu6PV6rr32Wq666iry8vKC6w0GA7/88kuva+lubW0lNjYWq9W61xcU0bV8Ph+ffPIJJ5988i7Xb4jwIue6zYaGDaxvWE9WTFan3/eyz5dRckLJvnfsYkpA4ZYPb+HLpi8BuHPo6Zxx6G3QTfOR95Tj0BN09bFQAgpVK6rIGJWBVtezBwXc+Vg4fU7qnfXkxOZQmFxIhCH8e58cDHkN7xi32822bdvIzc3dZVCr3kJRFFpbW4mJiUGr7dn/r0V7q1evZvz48WzevJno6Oh97t+Xz7XH4yEvL4+5c+cyduzY3e6zt//PHa0l9/uoLlmyBJvNRklJCYcddhjPPPMM9fX1+3s3QgjRZ3kDXiptlUQb9/2HsDdrcDawuLltTtA4Ldzs/IjUitf3cSshuo/D66DR1UhhUiHD04ZLwS2ECAtDhw7l4Ycf7tIpsMLF9u3buf322/dYcHeW/S66x4wZw4svvkh1dTVXXHEFb731FpmZmSiKwueff47NZuuKnEIIETYanY3YPLawL7rnrZuHX/UDcFUsRGq1NKWcFOJUQrRx+pw0uZsoTCqkIKkAfTf1wBBCiO5w8cUXM3To0FDH6PHy8/O54ooruvxxDrj/QEREBH/961/55ptvWL16NTfeeCP/93//R0pKCqeffnpnZhRCiLBSY69Bq9Gi0+55bsrezulz8t6v7wFgAP4WB9aEI/CZU0OaSwgAl89Fo7ORwUmDyUvMQ6vpW90phRBCdK9O+StTUFDAww8/TEVFBXPnzu2MuxRCiLBk89ioddQSZ44LdZQu9dGGj7B523o+nR8NGXpoSP9TaEMJAfgVP/XOevIT88lPzJeCWwghRJfbr780ZWVle92u0+n405/+xEcffQRAZWXlgScTQogwVOeow+lzhvW1o37Fz9w1v38Ae2M8+AyJWBOPDGEqIdpmDfAFfBQlF1GQVCAFtxBCiG6xX39tDjnkEC677DJ+/PHHPe5jtVp58cUXKS4u5v333z/ogEIIES58AR/l1vKwv5Z7UekiKm1tH7pOjIBiEzSmndpto5YLsTtWtxWHz8HwYcPJT8wP68s7hBBC9Cz79Q5o/fr1PPDAA5x44okYDAZKSkrIyMjAbDbT3NzMunXrWLt2LSUlJTzyyCOcdJIMmCOEEDs0OBuweqykR6Xve+deSlVV5qyaE1y+Kb7te0P6GSFKJAS0elqx++wMTRlKbkFuqOMIIYToY/arpTshIYFHH32UqqoqnnvuOfLz82loaGDTpk0AnH/++Sxfvpxvv/1WCm4hhPgDVVWpaK1Ap9GFdQvbL7W/sLZ+LQDDjXC8BVpjR+OJyA5xMtFXtbhbsHvtFCcX0z+uf6jjCCGE6IMOqK9fbW0ter2ec889l0MPPbSzMwkhRNhpcbdQ56gj3hIf6ihd6o+t3DfGg0YD9WnSyi1Co9nVjCfgYXjacLJj5YMfIYQQobHfI4jMnTuXvLw8zjjjDMaMGUNJSQn19fVdkU0IIcJGla0KX8CHWW8OdZQus71lO4u3LwYgJTKFIUe/yUbDn2lOPCa0wUSf1ORqkoJb9EjegBenz9ltX96AN9RPuce48MILeeCBB0Id44CVlpai0WhYuXJlp9/3sGHDePLJJwHweDxkZ2ezfPnyTn+cvmq/W7rvvvtuLrroIm677TbKy8v55z//yS233MLLL7/cFfmEEKLXc/qcVNoqw36asDfXvImKCsA5Q84hED2I9cYLydCZ0YQ4m+hb6h31qKgMTxtOv5h+oY4jRJA34OXHih+x++zd9phRhigO7XcoRp2xQ/vbbDbuvPNOPvjgA+rq6hg5ciRPPvkkhxxySHCfKVOm8Oqrr7a73WGHHcb3338fXL7hhhuYPXs2UVFRPPzww5xzzjnBbfPmzWPOnDnMnz9/n3m8Xi8zZszgjTfeYNOmTURERFBQUMDUqVO54IILMBgMTJkyhZaWFj788MM93s+qVav4+OOPefbZZ4Prtm7dyu23387XX39NU1MTSUlJjB49mkceeYT8/PyOHK4u05Hn1FVMJhM33XQT//rXv/jiiy+6/fHD0X4X3Vu3bmXBggXk5OQwYMAA5syZw6hRo6ToFkKIPahz1GH32smOCd/WtmZXM//d+F8AIgwRnDn4zBAnEn1Vjb0Go87IsNRhpEalhjqOEO34FT92nx2j1ohJb+ryx/P4Pdh9dvyKv8NF99SpU1mzZg2vvvoqMTEx/Oc//2H8+PGsW7eOzMzM4H4nnngis2bNCi4bjb/f//z583nzzTf57LPP2LRpE5dccgknnHACiYmJtLS0cPvtt7Nw4cJ9ZvF6vUycOJFffvmFe++9l7FjxxITE8P333/Po48+ysiRIxkxYkSHntczzzzDWWedRXR0dPC+TzjhBAYPHsz7779Peno6FRUVfPLJJ1it1g7dZzg7//zz+ec//8n69espLCwMdZxeb7+7l/v9fiwWS3C5oKAARVGoqanp1GBCCBEO/Iqfcms5kYZINJrwbe99d/27eAIeAP5UcAbRpvCeFk30TDX2Gkw6EyPSRkjBLXo0k96EWW/u8q/9LexdLhfvvfceDz/8MEcffTQDBgxg2rRp5ObmMnPmzPbPwWQiLS0t+JWQkBDctn79eo455hhKSko499xziYmJYevWrQDcfPPNXH311WRn7/uD6BkzZrB48WIWLlzINddcw4gRIxgwYADnnXceP/zwA3l5eR16Xoqi8M4773D66acH161bt46tW7fy7LPPcvjhh5OTk8PYsWO5//77g636O7pzz5s3j6OOOgqLxcIhhxzCxo0b+emnnygpKSEqKooTTzyx3eW2iqJwzz330K9fP0wmEyNGjOB///tfu0yrV6/muOOOw2KxkJiYyOWXX47d3tYDYvr06bz66qv85z//QaPRoNFoWLRoUfC2W7du5dhjjyUiIoLhw4fz3XfftbvvpUuXcvTRR2OxWMjKyuLaa6/F4XAEt9fV1XHaaadhsVjIzc3ljTfe2OWYJSYmcsQRRzB37twOHWOxd/tddAO8+uqrLF26NPiLodfrcTqdnRpMCCHCQaOzkSZXU1h3LXf73cxbOw8AHRru8n1F2vZZaP3d131S9G2KqlBpq8SsNzMifQTJkcmhjiREr+T3+wkEApjN7ccfsVgsfPPNN+3WLVq0iJSUFPLz87nsssuoq6sLbhs+fDjLli2jubmZ5cuX43K5GDRoEN988w0rVqzg2muv7VCeN954g/HjxzNy5MhdthkMBiIjIzt0P6tWraKlpYWSkpLguuTkZLRaLe+++y6BQGCvt582bRp33HEHK1asCA4mffPNN/Pkk0+yZMkStmzZwl133RXc/8knn+Sxxx7j0UcfZdWqVUycOJHTTz89OOOT0+nkxBNPJD4+np9++ol33nmHL774gr/97W8A3HTTTZx99tmceOKJVFdXU11dzRFHHBG8/9tvv52bbrqJlStXkp+fz7nnnovf7wfaivmJEycyadIkVq1axdtvv80333wTvG9o67peWlrKl19+ybvvvstzzz1HQ0PDLs/70EMPZcmSJR06xmLv9rvoPvLII7nvvvs48sgjiYuLIy8vD7fbzcsvv8xXX31Fa2vrQQV69tlnyc3NxWw2M3r06A6f6G+//Ra9Xt/hLiZCCNEdqmxVaNCg1x7QZBG9wiebPqHZ3QzAX6K1FCg1pJXNArmSW3QDRVWoslURb45ndMZokiKSQh1JiF4rOjqaMWPGcO+991JVVUUgEOD111/nhx9+oLq6OrjfSSedxBtvvMGXX37JY489xk8//cRxxx2Hx9PW42nixIlccMEFHHLIIcHrvyMjI7nqqqt4/vnnmTlzJgUFBYwdO5a1a9fuMc+mTZsYPHjwQT+v0tJSdDodKSkpwXWZmZk89dRT3HXXXcTHx3Pcccdx7733Blvk/+imm25i4sSJFBYW8o9//IMVK1Zw5513MnbsWEaOHMmll17KV199Fdz/0Ucf5V//+hfnnHMOBQUFPPTQQ4wYMYIZM2YAbR8muFwuXnvtNYqLiznuuON45plnmDNnDrW1tURFRWGxWNr1Jvhj9/2bbrqJU045hfz8fO6++262b9/O5s2bAXjkkUc477zzuO6668jLy+OII47gqaee4rXXXsPtdrNx40Y+/fRTXnrpJcaMGcPo0aN58cUXcblcuzzvzMxMSktLD/r4iwMouhcvXozVamXDhg28/vrrnHnmmRx99NHMnDmT448/noSEhAPu9//2229z3XXXcfvtt/Pzzz9z1FFHcdJJJ1FWVrbX21mtVi666CKOP/74A3pcIYToCla3lRp7DQmWhH3v3EspqsIbq3/vlnZTXFtrQVPKRBR9x1oghDhQqqpSZa8iwZLAiLQRYd2jRIjuMmfOHFRVJSsri9TUVJ555hnOO+88dDpdcJ/JkydzyimnUFxczGmnncann37Kxo0b+fjjj4P7TJ8+nc2bN7N69WrOPPNMHnjgAcaPH4/BYOC+++7jm2++YerUqVx00UV7zKKqaqdcmuVyuTCZTLvc1zXXXENNTQ2vv/46Y8aM4Z133mHIkCF8/vnn7fYbNmxY8OfU1LZLV4YOHdpu3Y6W/tbWVqqqqhg7dmy7+xg7dizr168H2rrfDx8+vF1L/dixY1EUhQ0bNuzz+fwxT3p6OkDw8ZcvXx4cwG7H18SJE1EUhW3btrF+/Xr0en27Vv/BgwcTGxu7y+NYLBbpzdxJDqh7OUBeXh7nnHMODz/8MAsXLqSpqYktW7Ywd+5czjzzwAbQefzxx7n00kuZOnUqhYWFzJgxg6ysrF2uIdnZFVdcwXnnnceYMWMO6HGFEKIr1DnqcPvdWAyWfe/cS31T9g3brdsBODrKQslvPRLrM/4cwlSiL9jRpTzOFMew1GEyjoAQnWTgwIF8/fXXtLa2smbNGr7//nt8Ph+5ubl7vE16ejo5OTnB7tM7+/XXX3njjTe49957WbRoEUcffTTJycmcffbZrFixYo89ZfPz84OF6sFISkrC6XTi9e46fVp0dDSnn346999/P7/88gtHHXUU9913X7t9DAZD8OcdhfvO6xRFaXebnQv8P36AsLcPEzryIcPu8ux4fEVRuOKKK1i5cmXw65dffmHTpk0MHDgQVVU7/DhNTU0kJ8vlOp3hgIvu3cnNzeWss846oPnvvF4vy5cvZ8KECe3WT5gwgaVLl+7xdrNmzWLLli1MmzZtvx9TCCG6isfvocxaRowpJtRRutTrq14P/vzP6LauaY7oIlzRB98dUIg98St+Km2VJFoSGZk+kljzri00QoiDExkZSVpaGs3NzSxYsIAzzjhjj/s2NjZSXl4ebHX9I1VVufzyy3nssceIiooiEAjg8/kAgt93Llh3OO+88/jiiy/4+eefd9nm9/vbDQ62NzsuP123bt1e99NoNAwePLjD97s7MTExZGRk7HIN/NKlS4O9gYuKili5cmW7x/n222/RarXBqcqMRuM+rzXfnVGjRrF27VoGDRq0y5fRaKSwsBC/38+yZcuCt9mwYcNuR2xfs2bNbq+nF/uvx1xk2NDQQCAQCHbZ2CE1NXWPI6Nv2rSJW265hSVLlqDXd+ypeDye4PUmQPCTNZ/PF/yPL7rfzi++Inz1lXNdY6uh1dlKRkwGSmD3bya6iqqq3fKY6+rXsaJmBQB5lihOjmwbOK0u7U8oASWYobuf/w7ddRx6g64+Ft15rn0BHzX2GtKi0xiSNASL1hL2ryc9SV95DT9YPp+v7f+dorQrKHcsK2rbV1dTVOX3x9xDYbuzBQsWoKoq+fn5rF69mrvvvpuCggIuvvhiFEXBbrdz9913M2nSJNLT0yktLeWOO+4gKSmJM844Y5fHeeGFF0hOTubUU09FURTGjBnD9OnTWbp0Kf/73/8oKioiJiZmt/muvfZaPv74Y44//njuuecexo4dS3R0NMuWLeORRx7hxRdfZMSIEaiqGjzeu5OYmMioUaNYsmRJsGv2ypUrmT59OhdccAFFRUUYjUa+/vprXnnlFW6++eZ2x2znn/e2DtquuZ4+fTq5ubmMGDGC2bNns3LlSubMmYOiKJx77rlMmzaNiy66iGnTplFfX8/f//53LrjgApKTk1EUhZycHBYsWMD69etJTEwkNja2Q3n++c9/csQRR3D11VczdepUIiMjWb9+PV988QVPPfUUeXl5TJw4kcsuu4znnnsOvV7P9ddfj8Vi2eUYLlmyhLvvvrvDvzvhSlEUVFXF5/O1u8wCOv5a2GOK7h321hXjjwKBAOeddx533333fk1e/+CDD3L33Xfvsv6zzz4jIiJi/wOLTrXzNTQifPWFc61FSw3dP52iu8VN1YqqLn+cl0pfCv58Y7QbrQZ8WFhbOZRA1e+PX/NLaKaU7K7j0Bt017HornOtQ0c99SxiUbc8nthVX3gNPxh6vZ60tDTsdnu7Ls1OnxOn04nf3fF5sw+GN+DFq3hpbW3Fb/B36DY1NTXcc889VFVVER8fz2mnncYdd9yBy+UKfq1cuZLXXnsNq9VKamoqRx11FC+88AKqqrbrKl5XV8cDDzzAggULgusHDx7MNddcw6mnnkpycjLPPvvsXgdifuedd3j22WeZOXMm//znP7FYLOTn5zN16lSys7NpbW3F5/Ph9/v3ej8XXHABc+bM4cILLwQgNjaWjIwMpk+fTnl5ORqNhqysLG655RauvvpqWltbgzM1ORyO4H3vuMbZZrOh1bZ1Gna73e2e+8UXX0x9fT033XQT9fX1FBQU8Oabb5Kamhrc55133uHWW2/lsMMOw2KxcPrpp3PfffcFt0+ePJmFCxdy6KGHYrfbmT9/fnCatT/msdlswVytra3079+f//73v9x3332MGzcOVVXp378/Z555ZvA2Tz75JNdeey3HHnssycnJ3H777ZSVleHxeIL7/Pjjj7S0tDBhwoSDHii7t/N6vbhcLhYvXhwcJX6Hjl7zrlF3dOwPMa/XS0REBO+88067a8L/8Y9/sHLlSr7++ut2+7e0tBAfH9/u04Ydn0LodDo+++wzjjvuuF0eZ3ct3VlZWTQ0NBATE97dQHsyn8/H559/zgknnNDuOhURfvrCuW50NfJDxQ8kRSR1y5uqnS1fuJzRx4/u0seoslXx53f/TEANkGiMoCLLiVkLdel/ZvugfwFtrZ41v9SQNjwNra5Tr2bqkO44Dr1FVx+L7jjXbr+bBkcDOXE5DE4ajEEXnq8fPV1feA3vDG63m/Lycvr3799u+i1vwMuPlT9i93bflIpRxigOzTx0v/8eqaqKzWYjOjq6UwYzCzW3201hYSFvvvmmjAO1k92d67PPPpuRI0dy6623hjhd6LndbkpLS8nKytplOr3W1laSkpKwWq17rSV7TEu30Whk9OjRfP755+2K7s8//3y315DExMSwevXqduueffbZ4HxzexrswWQyYTKZdllvMBjkj0cPIOeh7wjnc13bWAs6MBvN+965C2g0mi4vct9e/zYBte1as6sTzJi1bZ/0NmT+eZfH1uq0ISm6u+M49BbddSy66lx7/B7q3fUMSh5EUXJRWE/B11uE82t4ZwgEAm3/77TaYGsogFlr5vCsw/ErHWt17gx6rf6APgDe0aV4x/Po7SIiInjttddoamoKi+fTmXY+1x6PhxEjRnDDDTfIsQK0Wi0ajWa3r3sdfR3sUX+1brjhBi688EJKSkoYM2YML7zwAmVlZVx55ZUA3HrrrVRWVvLaa6+h1WopLi5ud/uUlBTMZvMu64UQorvYPDZq7DXEm+JDHaXL2Dw2/rPhPwCYdCbOyz2cQNNXuCIH4orq+OU+QnSEy+eizlnHoAQpuEV4MOqMIekFJWDcuHGhjtArmEwm7rjjjlDHCCs96i/X5MmTaWxs5J577qG6upri4mI++eQTcnJyAKiurt7nnN1CCBFKdY46HD4HSRFJoY7SZd5b/x5OX1vL9mn5p+EovoVVfjsGT0OIk4lwY/PYsHqsFCQWUJBUIAW3EEKIXqnH/fW6+uqrufrqq3e7bfbs2Xu97fTp05k+fXrnhxJCiA7wBXyUW8uJNobvfMHegJe5a+YCoEHD+UPPB0DRR+HRR4UymggzTa4mPH4PxSnF5MbnotVIF0chhBC9k/wFE0KITtLgbKDF00KsKXznDP5086c0uhoBODb3WLJis0KcSISjekc9iqowIn0EAxMGSsEthBCiV5O/YkII0QlUVaWitQKD1oBOq9v3DXohRVV4fdXrweW/ZQ5E6+++EXhF31Brr0Wr1TIibQT9YvqFOo4QB6Wvz28sRDjojP/HPa57uRBC9EbN7mbqHHXEmeNCHaXLfFv2LdtatgEwOimPM2tfJFA/h6rcK6nLuiDE6UQ4qHfUo9fpGZE2gpTIlFDHEeKAGY1GtFotVVVVJCcnYzQae920W4qi4PV6cbvdMoJ1mJNzvXuqquL1eqmvr0er1WI0HvgAiFJ0CyFEJ6hsrcSv+DHrQzNNWHeYs2pO8Ofrk6PBDzrFjd+QEMJUIlw0OBvQaDQMTx0uBbfo9bRaLbm5uVRXV1NVVRXqOAdEVVVcLhcWi6XXfWAg9o+c672LiIggOzv7oD6QkKJbCCEOks1jo8pWFdat3Gvq1rCiZgUAubHZTPavBsCvj6U5+fhQRhNhoM5Rh1ajZVjqMFKjUkMdR4hOYTQayc7Oxu/3EwgEQh1nv/l8PhYvXszRRx8tc7KHOTnXe6bT6dDr9Qf9YYQU3UIIcZBq7bU4fc6wnibstVWvBX++ul8eem/b9I2Naaeg6kyhiiXCQJ2jDp1Wx/DU4VJwi7Cj0WgwGAy9spDR6XT4/X7MZnOvzC86Ts5115NO+0IIcRA8fg/brduJMcWEOkqXKbeW89W2rwBItCRyOeuC2+oz/hKqWCIMNLmagl3KpeAWQggRrqToFkKIg1DvrMfqsYZ10f3G6jdQUQGYkns4Md5qAKzxY/BEZIcymujFGpwN+BQfQ1OGSsEthBAirEnRLYQQB0hRFcqt5Vj0lrCdR7jZ1cz8jfMBsOgt/N1SH9xWn3lWqGKJXq7GXgMaGJk2ksyYzFDHEUIIIbpUeL5LFEKIbtDgbKDeWU+8OT7UUbrMvHXz8AQ8APx50HhyWn8EwGNKx5o4NpTRRC9VbavGrDczKm0U6dHpoY4jhBBCdDkpuoUQ4gCoqkq5tRwNGgy68Bx0xO13M2/tPAB0Gh3XxuuC2+oz/wIa3Z5uKsQuFFWhwlZBhDGCEWkjSI5MDnUkIYQQolvI6OVCCHEAmlxN1NhrSLCE7xzV8zfOx+qxAnDCgBMw5P+NipgsEmv+S0PaGSFOJ3oTv+KnylZFckQyxanFYT29nhBCCLEzKbqFEOIAVLRW4Ff8mPXmUEfpEgElwBur3wguXzj8QgLGOGqzL6Y26yI4yPkqRd/hC/ioslfRL6YfxSnFRBgiQh1JCCGE6FZSdAshxH5qcbdQZasK61bur0q/oqK1AoBDMw+lILHg941ScIsO2lFw58TmUJxSjEkvc7oLIYToe+SabiGE2E+VrZV4Ap6wbbFTVZU5q+YEly8adlEI04jeyq/4gwX30NShUnALIYTos6ToFkKI/WDz2KiwVYT1iOU/1/zM2vq1AOQn5PMXx1f02/wYJmdZiJOJ3sKv+Km0VZIVk0VxSjFGnTHUkYQQQoiQkaJbCCH2Q5WtCofXQZQxKtRRuszsX2YHf7646E8k1/yH1Iq5FPx8KSj+0AUTvcKOQdMyozOlhVsIIYRArukWQogOc/qclFnLiDPFhTpKl9nQuIGl5UsBSI9K5zxTM1q1rdBuTDsdtPJnQ+yZL+CjxlUTLLjDdaBBIYQQYn9IS7cQQnRQta0am9dGjCkm1FG6zOyVs4M/Xzj0fDJqPwJARUt9xp9DlEr0FjX2GnJicxieNjxsxzwQQggh9pc0WQghRAe4/W5KW0qJNcWiCdPRu8ut5SzcthCAeHM8FyXFY2yoBcCaeCReS0Yo44kezOaxAZCXkMfg1MEYdIYQJxJCCCF6DmnpFkKIDqhsrcTqsRJrig11lC7z2qrXUFQFgHOLzyWr5oPgtrrMs0MVS/RwLe4W7F47AAVJBVJwCyGEEDuRolsIIfbB6XOGfSt3vaOe/278LwCRhkguzBlFTMsyANyWbGzxh4YynuihGpwNuP1uhqYOBQjb/x9CCCHEwZCiWwgh9qEvtHK/sfoNfIoPgL8U/YVBdR8Ft9X1Owc08udC/E5VVWrsNaCBkekj6RfTL9SRhBBCiB5L3kUJIcReOLwOSltKiTPFhW0rntVt5b317wFg1Bm5sOAkEmr/B4BfF0Vj6qmhjCd6GEVVqLRXYtabGZU2ioxoudZfCCGE2BspuoUQYi+qbFVhP2L5vHXzcPldAJyefzqZ2PEb4wFoyDgTRS+jUIs2fsVPRWsFieZERmeMJjkyOdSRhBBCiB5PRi8XQog92HEtdzi3crt8Lt5a8xYAOo2OC4ddiCMmk9WH/Yf4hi+xxwwLcULRU/gCPqrsVWRGZ1KcUkykMTLUkYQQQoheQYpuIYTYg8rWSmxeG9kx2aGO0mU++PUDrB4rABMGTiAzJrNtg1ZPc8qEECYTPYk34KXaXk1ObA5DUoZg1ptDHUkIIYToNaToFkKI3egL13L7Aj7eWP1GcPni4ReHMI3oqXYU3APiB1CUXIRRZwx1JCGEEKJXkWu6hRBiNypaK7B77cSaw3fE8k82f0KtoxaAo7KPYojZgNFVEeJUoifx+D3BgntI8hApuIUQQogDIEW3EELsxO61s926nThzXKijdJmAEuDVX14NLl8y4hIyt/6b4h/OZODqG9F7GkKYTvQELp+LWkdtsOA26AyhjiSEEEL0SlJ0CyHETspaynB4HWE9YvnCbQsps5YBMCp9FCUxScQ1LEKDSoRtLQFD+Lbwi32zeWw0uBooSCygOKVYCm4hhBDiIMg13UII8QdWt5Xy1nISLAmhjtJlFFXhpZ9fCi7/dcRfSa6chwYFgPqMv6Bqpcjqq5pcTbj9boqTixmQMACtRj6fF0IIIQ6G/CUVQog/KLOW4fK7iDJGhTpKl/ly25dsbd4KwLCUYYxJHUJy9QcAKBojDRl/DmU8ESKqqlJjr0FRFUamj2RQ4iApuIUQQohOIC3dQgjxmyZXE+Wt5SRaEkMdpcsoqsLLP78cXL5s1GWkVH+ILuAAoDHtFPzG+FDFEyGiqiqV9kpijDEMTR1KUkRSqCMJIYQQYUM+whZCCNqKjm3N2/ApPiIMEaGO02UWb1/MpqZNAAxJHsKYjNGkVMwFQEVDbdb5oYwnQkBRFSptlcSZ4hiVPkoKbiGEEKKTSUu3EEIAdY46qmxVJFuSQx2ly6iqyosrXgwuXzbqMhLqP8PorQPAmng0noj+IUonQkFVVapsVSRYEhiRNoJoU3SoIwkhhBBhR1q6hRB9ni/gY0vzFrQaLSa9KdRxusySsiVsaNwAwOCkwYztdwSp5a8Ht9dkXRiqaCIEAkqgrYXbHMfwtOFScAshhBBdRIpuIUSfV24tp8ZeQ3JEeLdyv7Ti9xHLp46cSox1GRGOzQDYY4biiB0eqniim/kVPxW2CpIjkxmZPjKsp8cTQgghQk26lwsh+jS7186W5i3EmmLRaXWhjtNlllYsZV3DOgDyE/IZlzMOmxpga9EDpJbNoTbrAtBoQpxSdAdfwEeVvYqc2ByKkouwGCyhjiSEEEKENSm6hRB92rbmbdi9drJjs0MdpcvsfC331FFT0Wg0oNHTnDKB5uQTQphOdCdvwEu1vZqc2ByKU4rD+nIKIYQQoqeQolsI0Wc1Ohsps5aF/WjNP1T+wJq6NQAMjB/IMf2Pab+DtHD3CW6/mzpHHblxuRQlF0nBLYQQQnQTKbqFEH1SQAmwtXkriqqE9RRhu7Ryj5wqg3n0QX7FT72znvzEfAqSCtBr5c+/EEII0V3kr64Qok+qsddQZasiNTI11FG61LKqZfxS+wsAA+IGcPyA4+m35UlMrnJqsi/CETsitAFFl2t2NRPdL5qhKUPJjc9Fq5GPXYQQQojuJEW3EKLP8fg9bG7ajFlvxqAzhDpOl9m5lfuvI/+KwddKUtV76BQ3Mc0/sGrMpwQMMnJ1uGp0NuJX/Rx76LFkxWaFOo4QQgjRJ8nH3UKIPqfMWkajq5EES0Koo3SpHyp/YEXNCgByYnM4YcAJpFS+hU5xA9CQ/icpuMNYg7OBgBpgeOpwKbiFEEKIEJKWbiFEn2J1W9navJV4c3xYd7NVVZWZy2YGl68YfQUGxUVK5dtt2zU6arIuDFU80cXqHfWggRFpI0iPTg91HCGEEKJPC993nEIIsRNFVdjavBW3302MKbxbeBeXLWZt/VoABiUMYvyA8SRXvYvebwOgMfUUfOa0UEYUXUBRFSpsFRh0Bim4hRBCiB5CWrqFEH1Gjb2GMmsZyRHJoY7SpVRV5bllzwWXrxx9JTrFS2r5m23b0VKTfXGo4oku4lf8bYMDRqUyJHkIsebYUEcSQgghBFJ0CyH6CI/fw6bGTRh1xrCfn7jeWc+mpk0AFCUVMS5nHEmVb2PwNQHQnHw8noicUEYUncztd1PrqCUnNoei5CIsBkuoIwkhhBDiN1J0CyH6hO3W7TS6GsmKCe8BpfyKn23N24LLV5VchVb1k1Y+J7iuJueSUEQTXcTpc9LgbCAvIY/BSYPDekR+IYQQojeSolsIEfaaXE1sadpCgjkhrAdPA/jf5v/h9DsBGJk2ksP7HU5CzUcYPbUAtCQciSsqP5QRRSdq9bTS6mmlMLmQvIQ8dFpdqCMJIYQQYifh/e5TCNHn+QI+NjZuxK/4iTZFhzpOl/IFfO3m5b6q5Co0Gg1ecwaO6CEA1OT8NVTxRCdrcDbg8DoYmjKUgsQCKbiFEEKIHkpauoUQYa3MWkaVrYrM6MxQR+lyH238iEpbJQCHZR7GqPRRANjiD+HXUbOJsK3FGVMcyoiiEwSUANWOaiL1kQzNGEpGdEaoIwkhhBBiL6ToFkKErWZXM5ubNhNvjkevDe+XO7ffzUsrXgouX1VyVfsdNBopuMPAjgHT0qPSKUwuJM4cF+pIQgghhNiH8H4XKoTos/yKn42NG3EH3CRFJIU6Tpebu2Yu9c56ABItiRSnSIEdblrcLdi9dvIS8shPzA/7UfiFEEKIcCHXdAshwlJZSxmVtkrSItNCHaXLtbhbmL1yNgBajZaB8QNBDZDz691ENS8LbTjRKeocdfgUHyPSRjAkZYgU3EIIIUQvIkW3ECLsWN1WNjVvItYUG/bdygFe+fkVHD4HAKfln0akMZL4ui9IqplPwS9X0m/TYyFOKA6UqqpU26rRa/WMTBtJTlxO2I/AL4QQQoQb+csthAgrASXA5qbNuH3uPnG9a5WtinfWvQOASWfiitFXgKqSvv33UcytiUeGKp44CL6AjwpbBdGmaEaljyI1KjXUkYQQQghxAKToFkKElYrWCsqt5aRG9o0CZeaymfgUHwDnFp9LSmQKBk8dFmcpALbYEdjiDw1hQnEg3H43VfYqsmKyKMkoITEiMdSRhBBCCHGAwr/fpRCiz7C6rWxo3EC0KRqDzhDqOF1uQ+MG/rf5fwDEmmK5ePjFoPixOLfBb1OSV/e/AjSaEKYU+8vutdPibqEgsYD8xPw+8bsshBBChDNp6RZChIUdo5W7fK4+0a0c4Jkfn0FFBeCSEZcQbYomoW4B2oALAFvsKGxxJaGMKPZTq6cVq8fKkOQhFCYXSsEthBBChAEpuoUQYaG0uZTy1nLSosJ/tHKAHyt/5LuK7wBIj0rn7CFng+Inffvvc3VX5Uord2/S6GzE4XVQnFzMwISBMmCaEEIIESbkL7oQotdrcDbw3c/fkWBO6BOjlSuqwlM/PhVcvrLkSow6I4m1n2J2lQPQGleCPW50qCKK/bBjhHJVozIyfSQDEgagkQ9LhBBCiLAhRbcQoldz+938Wv8rTdubiDZFhzpOt/jvxv/ya8OvAOQn5HPSoJPQKL52rdzV/a8IVTyxH/yKn/LWcqJN0YxOH01mTGaoIwkhhBCik4V/k5AQImypqsqmxk3UOesw6UyhjtMtHF4H//7p38HlG8bcgFajRedtwmPph8ldid8Yjz1uZAhTio5w+VzUOevIismiKLmISGNkqCMJIYQQogtI0S2E6LWq7dVsa9lGSkQK9Zr6UMfpFq/+8iqNrkYAjsk5hpKMtoHS/KYkNg3/N9HNP+L83hnKiKIDrG4rNq+NwYmDyUvMkwHThBBCiDAmRbcQoldyeB1saNiASWfCYrCEOk63qLZV8/rq1wHQa/X847B/7LKPLf5QFP2y7o4mOkhVVeocdaCB4WnDyYnNkeu3hRBCiDAnRbcQotfxK35+bfiVFncLWTFZoY7TbZ768Sm8AS8A5xafS1Zs33nu4cCv+Km2VxNniqMwuZDUqNRQRxJCCCFEN5CiWwjR62xr3sZ263YyojL6TCvhypqVfL71cwDizfFcOvJSAFLKX8dj6Yc1cZxMD9aD7bh+Ozsmm8HJg4kyRoU6khBCCCG6iRTdQohepdpWzcbGjSRaEvvMdbCKqvD4d48Hl68quYooYxRGVwWZW59Bq/ppjT+MTcOekcK7B2pxt2D32uX6bSGEEKKPkqJbCNFrtHpaWVe/Dp1G16daCj/Z9AnrGtYBkJeQxxkFZwCQse15tKofAEdMsRTcPcyO67c1Gg0j0kaQHZvdZ3pmCCGEEOJ3UnQLIXoFb8DLuvp12L12+sX0C3WcbmP32nn6x6eDyzccfgM6rQ6LbQMJdf8DwK+PpSbrwlBFFLsRUAJU26uJNkVTnFJMSmRKqCMJIYQQIkSk6BZC9Hg75uOuslWRGZ0Z6jjd6vnlz7ebIuyQzEMAyNz6DBpUAKpz/oqi7zst/z2dL+Cjyl5FelQ6Q1KGEGOKCXUkIYQQQoSQFN1CiB6vzFrG5qbNpEamotf2nZetjY0beXvt2wCYdCZuHHMjADGN3xLb/B0AHlMa9Rl/CVlG0Z7T56TeWU9uXC6FyYWY9eZQRxJCCCFEiPWdd69CiF6pxl7D2vq1RBmj+lQBo6gKD337EIqqAHDpyEtJj04HxU+/LU8E96sceC2qzhSqmOIPdgyYVphUSF5iXp/6gEgIIYQQeybvCIQQPVazq5k1tWvQoiXOHBfqON3q400f80vtLwBkx2ZzwbALAEiueheLsxQAe8wwmpNPCFVE8RtVVal31qOiMjxtODmxOTJgmhBCCCGCpOgWQvRIDq+DVbWrcPldZERnhDpOt2r1tPLUD08Fl28+4maMOiM6XwsZpS8E15cPulFGLA8xRVWoslcRZYiiOKWY1KjUUEcSQgghRA+jDXUAIYTYmcfvYU3dGprdzaRHpYc6Trd79qdnaXY3AzA+dzyH9zscAI3SNh83QGPqKThjhoQsowC/4qeitYJEcyIlGSVScAshhBBit6SlWwjRo/gCPtbVr6PSVklmdGaf66a7vn49761/DwCL3sL1h18f3OY3JbFtyIPUt5yNx9J3pk3ribwBL9X2ajKjMylOKSbSGBnqSEIIIYTooXpcS/ezzz5Lbm4uZrOZ0aNHs2TJkj3u+/7773PCCSeQnJxMTEwMY8aMYcGCBd2YVgjRmRRVYWPjRra1bCMjKqPPDUTlV/w8+M2DqL9NBXb56Mt323pqjxuJz5Tc3fHEb+xeOzX2GgbED2BE2ggpuIUQQgixVz2q6H777be57rrruP322/n555856qijOOmkkygrK9vt/osXL+aEE07gk08+Yfny5Rx77LGcdtpp/Pzzz92cXAjRGbY1b2NT0yZSI1Mx6AyhjtPt5q6Zy7qGdQAMiB/AucXnhjiR+CNVValz1GH32hmaMpShKUMx6WXkeCGEEELsXY8quh9//HEuvfRSpk6dSmFhITNmzCArK4uZM2fudv8ZM2Zw8803c8ghh5CXl8cDDzxAXl4e8+fP7+bkQoiDVW4tZ139OuJMcX1qarAdKloreG7ZcwBo0HDHUXeg1+rRKF7yVl5FQs0n8Nv0YaL77bh+26w3MzpjNIMSB6HT6kIdSwghhBC9QI8pur1eL8uXL2fChAnt1k+YMIGlS5d26D4URcFms5GQkNAVEYUQXaTKVsXqutVY9BaiTdGhjtPtVFXl/iX34wl4AJg8ZDLDUocBkFr2GjEtP5H7611kbXo4lDH7LJfP1TbGQEwmJRklpEWlhTqSEEIIIXqRHnPBZENDA4FAgNTU9tcvpqamUlNT06H7eOyxx3A4HJx99tl73Mfj8eDxeILLra2tAPh8Pnw+3wEkF51hx7GXcxD+dj7XtY5aVteuRouWWHMsSuDAWnNVVT3g24baRxs/4qeqnwBIj0rnylFXogQUTK5K0stmAaCioy7tzA49x55yLHZkCFWWzjgONo8Nm8dGXnweAxMGYtAa5HVqN+Q1vO+Qc913yLnuO+RcH7iOHrMeU3TvsPNIxaqqdmj04rlz5zJ9+nT+85//kJKSssf9HnzwQe6+++5d1n/22WdERETsf2DRqT7//PNQRxDdZHfnuoqqA74/d4ubqhUHfvtQafI18cSvTwSXL0u5jJbVLbSozRzmuQ+t0vYh4Rb9KWzZEAkdOEY97VjU/NKxD047W2ceh62//RN7J6/hfYec675DznXfIed6/zmdzg7t12OK7qSkJHQ63S6t2nV1dbu0fu/s7bff5tJLL+Wdd95h/Pjxe9331ltv5YYbbggut7a2kpWVxYQJE4iJiTnwJyAOis/n4/PPP+eEE07AYOh7A2j1JTvO9agjR7GucR2KopAUmXTQ91vdXE3GqIxOSNi9nvryKRwBBwAnDTyJU8edCkB8w1ekrV8OgNeYgnX09WToOzZKdk85FkpAoeaXGtKGp6HVdf/VTAd6HPyKnzp7HZHGSAYnDZb5tztAXsP7DjnXfYec675DzvWB29Frel96TNFtNBoZPXo0n3/+OWeeeWZw/eeff84ZZ5yxx9vNnTuXv/71r8ydO5dTTjlln49jMpkwmXYdbdZgMMgvWQ8g56HvWN+4ngABUmM6p6DRaDQhKewOxlfbvuLL0i8BiDPHceMRN6LVadH6nWRvfTy4X/mgG8AU3eFBOHrasdDqtCHJcyDHwe13U+usJSM2g6LkImJM8mHs/pDX8L5DznXfIee675Bzvf86erx6TNENcMMNN3DhhRdSUlLCmDFjeOGFFygrK+PKK68E2lqpKysree2114C2gvuiiy7iySef5PDDDw+2klssFmJjY0P2PIQQe1bnqAPAF/CRFtt3B6RqdjXz4LcPBpdvGnMTceY4ANK3v4jRUwuANX4MLcnHhyJin+PwOmh0NTIoYRAFiQUyHZgQQgghOkWPKronT55MY2Mj99xzD9XV1RQXF/PJJ5+Qk5MDQHV1dbs5u59//nn8fj/XXHMN11xzTXD9xRdfzOzZs7s7vhBiH2rsNayuWw1AStSex14Id6qq8sA3D9DkagLgqOyjmDhwIgBm+2ZSy98EQNEYKc+7GTowroU4OC3uFuxeO0XJRQxKkOnAhBBCCNF5elTRDXD11Vdz9dVX73bbzoX0okWLuj6QEKJTVNmqWFW7CtRQJwm9jzd9zFelXwEQa4rl9qNuDw4YmVH6HBoCANTkTMETkRWynH2BqqrUOmrRaXWMSBtBdmx2hwbvFEIIIYToqB5XdAshwk9FawWraleh0+hIiEg4qFHKe7saew2PLH0kuHzbUbeRFPH7QHLbC+5A0VmIbF1LTdbFoYjYZ/gVP9X2auLN8RQlF5EcmRzqSEIIIYQIQ1J0CyG6jKqqlLaUsq5+HSadiXhLfI+YPzpUFFVh+qLpOHxto5WfPOhkjs9tf712wBBHaeG96Hw2VJ1cU9xVXD4Xdc46smOzKUwqJNLYsZHhhRBCCCH2lxTdQoguEVACbGraxIaGDUQbo4k1y+CGb615i2XVywBIjUzl5rE373HfgCG6u2L1OTuu3x6cOJi8xDwMOhmpVQghhBBdR4puIUSn8wV8/NrwK5ubNpNoSZRWRGBr81ae+emZ4PL0cdOJMkYBEN30Pa7IQfhNBz9fudgzRVWoc9TJ9dtCCCGE6FZSdAshOpXb72Z9/Xq2tWwjNTIVs94c6kgh5/F7uOOrO/AGvACcW3wuh2QeAoDBXcPAtTejagyUD7qRprSTQxk1bHkDXmrsNSRYEhiSMqTddfRCCCGEEF1Jim4hRKdx+pysql1Fla2KjKgM6bb7mxk/zGBj40YAcuNyueaQ36Y4VFVyNtyPLuAEIMq6QoruLmD32mlyNdE/rj8FSQVEGCJCHUkIIYQQfYgU3UKITuH0Ofml5hdq7DVkRmei18rLC8AXW7/gnXXvAGDSmXjguAeCrf+JNfOJbf4OAK8xhYqB14UqZlhSVZU6Rx2KqjA0ZSi58bky/7YQQgghup28KxZCHDSr28q6+nXBglsKmzYVrRXcu/je4PKNY24kLzEPAKOrkqzNjwW3leXfiqKP6vaM4coX8GFKN2HWmylMLiQtKi3UkYQQQgjRR0nRLYQ4KLX2WtbUrcHutUvB/Qe+gI/bvrwtOD3YhIETOHPwmW0bFT+56+9EF2jb1ph6Ctako0IVNezYPDaa3c0UFxdTmFwYHLBOCCGEECIUpOgWQhwQVVXZbt3Ouvp1aNCQGZ0pI0H/wTM/PcO6+nUA9Ivpx21H3hY8Pulls4hqXQWAx5xJWd4/Q5YznKiqSq2jFo1Gw9CUofSP7y+XOQghhBAi5OTdiBBiv/kVPxsbNrKpaRNRxijizHGhjtSjLN6+mDdWvwGAQWvg/47/v2Bra6R1NemlLwGgomNb4b3SrbwT+AI+qu3VJFgSKEwuJCUyJdSRhBBCCCEAKbqFEPvJ4XWwoXEDpS2lJEcky0jQOymzlnHXoruCy/847B8MThoMgEbx0n/9nWgIAFCd81ccscNCkjOcOLwOGlwN5MTmMDhpsMwLL4QQQogeRRvqAEKI3qPWXsuyqmVsb9lORlSGFNw7cXgd3PTZTdi9dgCO7X8sk4dMDm5XtUYqBl2HXx+LPWYo1TmXhipqWFBVlQZnAy2eFoYkD2F42nApuIUQQgjR40hLtxBinwJKgG3N29jQuAENGrJisuT67Z0oqsK0RdPY2rIVgAFxA5g+bvoux8madAzrDhmCRvWDXG98wHwBHzX2GqJN0RSnFJMRnSG/k0IIIYTokeQdnxBir+xeOxsaNlBmLSPeHE+0KTrUkXqkV35+hUXbFwEQZYzi0QmP7rHV1WdK7sZk4cfutdPkaiI7Npv8xHz5nRRCCCFEjyZFtxBit1RVpdpeza8Nv9LqaSU9Kh2DzhDqWD3S4u2LeX758wBo0HD/cfeTHZvdthxwE1+/kKbUk0FaYg+KqqrUO+sJKAGGpAxhQPwAGZ1cCCGEED2evFsRQuzC4/ewuWkzW5u3YtQZ6RfdT7ru7kFpSyl3fnUnKioAVx9yNWOzxga3Z296iKSa+cQ2fcv2/NtR9HLN8YHw+D3UOeuINcVSmFxIWlRaqCMJIYQQQnSIFN1CiHYanA38Wv8rdc46UiJSsBgsoY7UY7W4W7h+wfU4fA4Ajs89ninDpwS3J1b/h6Sa+QDENizGmHMZbn1uKKL2ak2uJpw+JzmxOeQl5gWnXxNCCCGE6A2k6BZCAG1zb29v2c7Gxo0ElABZMVloNTLBwZ64/W5u+OwGylvLARiUMIhp46YFewRYbBvI3vRwcP/tBXfgjpSCe394A15qHbVEGaIYlT6KzJhM+Z0UQgghRK8jRbcQgmZXMxsbN1JlqyLOHEeMKSbUkXo0RVWYvmg6q2pXAZAUkcSMiTOCU6jpfDYGrr0ZreIBoC7jLzSnnhiyvL3RH1u3ByUMksHShBBCCNFrSdEtRB/mC/gos5axqWkT3oCXjOgMGZiqA57+8Wm+2PYFABa9hRkTZ/x+jbEaoP+vd2FyVwLgiC6iYtANoYra6/gVPzX2GiIMEYxMH0m/mH7Sui2EEEKIXk3eXQvRR9U76tnctJlqezXx5niSI2Qaq454Z907zFk1BwCtRsuDxz/I4KTBwe2ZW58hrnEJAH59DFuHPISqNYYka29jdVtp8bSQFZNFQVKB9LgQQgghRFiQoluIPsblc7G1eSulLaWoqkpmdKa0bnfQ4u2LeWTpI8Hlm4+4mSOzjwwuJ1Z/RFp5W0GuomNr0YN4zendnrO38St+ah21mHQmRqSOIDsuW34nhRBCCBE25F2NEH2EoirU2GvY2LCRJncTyRHJwWuQxb4tq1rGrQtvRVEVAC4adhF/KfrL7zsoflIq3wouluX9E1vCYd0ds9exe+00uhpJj0pncNJg4i3xoY4khBBCCNGppOgWog9weB1satrE9pbtmHQmsmOyZd7t/bCmbg03fHYDnkDbwGgnDDiBvx36t/Y7afVsGPECA9beisfSj4bMv+zmnsQOqqpS56hDRWVI8hAGxA/AoDOEOpYQQgghRKeToluIMBZQAlTaKtnUuIlWTyspkSmY9eZQx+pVNjVu4tr/XYvT5wTgyKwjueeYe3Y7uJeij2Lz0Ce6O2Kv4w14qbHXkGBJoDC5kJTIlFBHEkIIIYToMlJ0CxGGFFWhzlHHtuZt1NhriDJGkRWTJa3b+2l7y3au+fQaWj2tAJSkl/B/4/8v2CKrUXxoFA+KPur3G8m1yHvV4m6h1dNK/7j+5CfmE2mMDHUkIYQQQoguJe8OhQgjqqrS5Gpia/NWqmxV6LV6mQbsAFXbqrn6k6tpcjUBUJxSzGMTHvu9p4CqkPPr3VicW9k09Cn8pqQQpu35/IqfGkcNZr2ZkekjyYrJQqfVhTqWEEIIIUSXk3fiQoSJFncL21u2U9FaQUANkBKZglEnU1UdiMrWSq76+CpqHbUA5CXk8eTEJ39vlVVV+m15gsS6/wGQ/8vVrCt5U1q598DmsdHiayEzOpOCpALizHGhjiSEEEII0W3kHaIQvVyrp5XSllIqWivw+r0kRSRhMVhCHavX2t6ynas/uTpYcGfHZvPMSc8Qa44N7pNa9iqpFXOBtqnBKgdcIwX3bgSUAABuv5thKcPoH99fel0IIYQQos+Rdz9C9FIOr4Oly5eiJCu4fC4SIxKJiJQpwA7G1uatXPXxVTS6GgHIjctl5ikzSYxIDO6TWP0f+m17Jri8veA2rEnjuj1rT2f32mm0N6JDx+iM0aTGpIY6khBCCCFESOw6/K4Qokdz+VxsatzE0vKlrFm7BpPORFZslsy5fZA2Nm7k8v9eHiy48xLyeP7U50mK+P1a7diGReRsuD+4XJH7NxrTz+j2rD1ZQAlQbavG4XMwOGkwAAmWhBCnEkIIIYQIHWnpFqKXcPvdVLZWUtpSitVjJc4Uh0VvIdoUHepovd7a+rX8/dO/B0cpL0wq5OmTnm537XFsw2IGrL0FDQoAtf3OpTb74lDE7bFcPhd1zjpSI1MpSCog1hDLJjaFOpYQQgghREhJ0S1ED+dX/FTZqtjStIVmdzOxpliyY7LRaDQyBVgn+KbsG25ZeAtuvxuAYSnDePLEJ9t9mBHbsIQBa29Gq/oBaEw9iYqB14Mcf6Bt1PxGVyNuv5uCxAIGJQzCpDfh8/lCHU0IIYQQIuSk6Baih/IrfmrttWxr3ka9s55IQ2Sw2Bad48NfP+TBbx4koLYN+DUqfRRPTHhil7mjY5qWBgvuppSJlBZMA41cnQPgDXipddQSbYxmdMZoMqMz5XdUCCGEEOIPpOgWoofx+D3UOmrZ3rKdRlcjJp1J5truZKqq8sKKF3hxxYvBdeNzx3P3MXdj0pt22b88759oVD+6gJNtg++Wkcp/Y3VbafW0khOXQ15iHlHGqFBHEkIIIYToceSdoxA9RKunlTp7HWWtZbS4W4g0RJIelS7FdifzK37uX3I/8zfOD647r/g8rjv8OrR7ar3WaCnLvxVURQpu2gZLq3XUYtAZGJY6jJy4HHRaXahjCSGEEEL0SPLuUYgQUlSFJlcTFa0V1NhrcPlcxJhiyIrJ2nMBKA5Yi7uFWxfeyk9VPwGgQcN1h1/H+UPPb7dffO3/8JozccQO/X2lRitdyvltKjBXI+lR6RQkFcjI5EIIIYQQ+yBFtxAh4PF7qHPUUd5aTqOzEQWFBHMCyRHJoY4WtjY2buSmz26iyl4FgFFn5J5j7mH8gPHt9kuueIvszY/i18eyYeSLuCMHhCJuj+NX/NQ56tBpdRSnFNM/rj9GnTHUsYQQQgghejwpuoXoRn/sQm51WzHrzSRHJGPQGUIdLax9vuVz7l58d3CE8kRLIg+Nf4gRaSN+30lVydg2k/SyVwDQ+60k1C2gKveqECTuWVrcLbR6WkmPTicvIY/EiMRQRxJCCCGE6DWk6Baii+3chdzpcxJjjKFfTD/pQt7FAkqAmctmMvuX2cF1RUlFPHLCI6RGpf6+oxoge+P/kVz9QXBVVc5lVPe/vBvT9jzegJdaey2RxkhGpo+kX0w/GWNACCGEEGI/ybsnIbqIw+ug0dVIZWsl9c56VFTpQt6NGpwN3LXoLn6s/DG47pS8U7jtyNvajVCu9TvJXX8HcY2Lg+vKBt1Efb9zujVvT7OjdTs7Npv8xPx285YLIYQQQoiOk6JbiE4UUAI0u5uptlVTZa/C6XVi1ptJiUiRLuTd6PuK77lr0V00uZoA0Gl0XHf4dZwz5Jx2c0gb3DUMWn09EY5NAKgaHdsG301z6okhyd0T+AI+ah21WAwWRqWPol9MPxmZXAghhBDiIEjRLcRBUlWVVk8rTa4mKlsraXI3oaoqceY4EmMS2xV5omv5FT8zl83k1V9eDa5LikjivmPvoySjpN2+kdZVDFxzEwZfW2Hu10Wxdcj/YUs4vFsz9xSqqtLoasTld5EZnUleYh5x5rhQxxJCCCGE6PWk6BbiACiqgs1jo9ndTJWtihZ3Cx6/hwhDhLRqh4jL5+Ky+Zexum51cN0RWUdw97i7ibfE77K/3tuE3tcMgNuSxebiJ/BE9u+uuD2K0+ek3llPvDmeISlDSI9Kl9ZtIYQQQohOIkW3EB2kqApWt5UmVxPVtmqsHiuegIcIfQSxpljMkeZQR+yTFFXhvfXvUVZVxmq1reDWa/X87ZC/cd7Q8/Y4WJ01+Rgqc68hpvl7tg55iIAhtjtj9wh+xU+9ox6NRkNBYgED4gdgMVhCHUsIIYQQIqxI0S3EXqiqisPnCI4+3uxqxhvwEmGIIM4ch1kvhXYoVbZWcu/ie1lWvYzJTAYgMzqTB45/gCHJQ9rtq/c24TfEwx+6+9dmX0xt1gXQB0fkbnY10+ptJT0qnUEJg0iOlAH+hBBCCCG6Qt97pylEBzi8jmDX8SZXE06fE4veQoIlAaPOGOp4fd6O1u2nfngKl98VXP/nwj9z7aHXEmmMbLd/dNP35K6/g5rsS6jLOv/3DRoNaPrWy6Db76beWU+UISo4UJpMAyaEEEII0XXknZYQ/H6NttVjpcZeQ7OrGYfPgUlnItYUK9N89SCbmzbzf9/8HytrVwbXpUelMyJyBCcceUL7ndUA6aUvkr79ZTSo9Nv6FI6YYThih3Zv6B5gR1dyFZX+cf0ZlDCIKGNUqGMJIYQQQoQ9KbpFn+UNeGn1tNLsaqbWXovVY8Ub8GLUGYk2RpNokZHHexKH18Hzy5/n7bVvE1ADwfWTBk/iH4f9g/Vfr2+3v9FVQf9fpxNtXRlcZ40fgzsiq7si9wiqqtLsbsbutZMWncbA+IEkRyTL77YQQgghRDeRolv0KU6fkxZ3C/WOehqcDdh9dlRVxaK3EG+Ox6Q3hTqi2Imqqnyx9Qse//5x6p31wfXZMdnccuQtHJp56M43IKn6A/ptfgKd0tb1XEVH5YCrqc26EPYwsFo4snlsNLmbiDPHMTpjNBnRGdKVXAghhBCim8m7LxHWVFXF5rVhdVupc9TR4GrA6XWi1+qJMkaRHilTI/Vka+vX8uT3T7KiZkVwnUln4pIRl3DR8It2ub5e72mg/4Z7iG1aGlznMWeybfDdOOJGdFfskAsoAcqt5VgMFoYkDyE7NltGJRdCCCGECBEpukXY8St+Wj2tNDmbqLHX0OptxeP3YNQZiTJGkRgj3cZ7uorWCp5d9iyfbfms3fqjso/ipjE3kRmTuctttH47Q36ajN5vDa6rTz+TioHXoegjd9k/HO24bjuyXyT94/uTG5dLrLnvTYUmhBBCCNGTSNEtej1VVXH5XcFCu9ZRi91rx6/4iTDIHNq9SYu7hVd+foV56+bhV/zB9dkx2fzj8H8wLmfcHm+r6CLwGRPQ+634jImUFtxJa+KR3RE75FRVpcnVhMPnIC06jUOPOFSu2xZCCCGE6CGk6Ba9TkAJYPfasXvt2Lw2GhwNOHwOXH4XGo2GKEMUKZEpcu1qL9LibuH1Va/z9tq3200BFm+O57JRlzGpcNKu51NV2825jUZLWf6tJFe+Q1n+vwgY4ronfIjZvXYaXY1t120ny3XbQgghhBA9jbwzEz3ejiLb5rXR7GqmwdlAxeYKovtFo9FqsOgsRBgiZLTxXmhPxbZJZ+K8oedx8fCLdzutVXTT92RteYKthffjjhoUXG+PG4U9blS3ZA81t99Ng7MBk95EUXIRObE5ct22EEIIIUQPJEW36HE8fk+wJbvZ3Uyzqxmnz4k34EWn0RFpjMReaadoSFGoo4oDVOet4+0f3ubDDR+2K7YNWgN/GvwnpgyfQmpU6i63Mzu20m/LjOBAaTkbH2DDyJf61IjkHr+HBlcDOo2OnLgc+sf1J84cF+pYQgghhBBiD6ToFiHlV/w4fU5ana0A/FT1Ew6/A6ffiaIoGHVGzHozCZaEdiNVa/tQkRVO1tevZ84vc/hi2xcoKMH1+yq29d4mMkqfJ6nqQzQE2m3T+VoJGOO6OnrIeQNeGpwNqKhkRmfSP64/CZYE6d0hhBBCCNHDSdEtuk1ACeDyu3B4HcH5g20eG26/G5/XhwYNVpeVCHPb4GcylVd48Ct+Fm9fzNtr32Z59fJ220w6E6cXnL7HYlvrt5NS8RZp5XPQBRzB9V5TKhUD/k5zyoSwb+X2+D00uhpRUUmPSicnLoekiCT54EkIIYQQopeQolt0CVVVcfqc2L12HD4Hza5mWj2tuPwuvAEvqGDSm4Kt2HqLniqqSIpMQquTYiIc1Dnq+ODXD/jw1w+pd9a32xarj2Xy0MmcNeQs4i3xu95YDZBW9iqp5a+j97cGVwd0EdRkX0Jtv3NRdeE9Ir3b76bJ1STFthBCCCFELydFtzhoiqrg8rlw+py/T93lasLlc+H2u1FRMWgNmPVmYk2xmHSmXbrEKgFlD/cuehO/4uf7iu/5z4b/sHj7YgJq+67g2bHZnD/kfEbYR5A7MncvH7BoiWn6Llhwq+hoSD+dqtwr8RsTu/hZhJbL56LR3YgOHRnRGWTHZpMYkSjFthBCCCFELyVFt9gvASWA0+cMflk9VlrcLbj9bjx+D6qqotVosRgsRBoiZUTxPmJT4yY+3vQxn27+lEZXY7ttWo2Wo7KP4s+Ff+bwfoeDAlUrqtrto/c04Dcm/N5VXKOhqv8V5P9yNY2pJ1PdfypeS7/uejoh4fA6aHI1YdQbyYnNoV9MP/n/I4QQQggRBqToFrulqipuvxu33x28DrvZ3Yzda2+7BjvgQ1VVDLq2FuxoYzRJliQpEPqQytZKvtj2BZ9t+YwNjRt22Z5oSeTMwWfyp8F/Ii0qLbj+jwOomR3bSC2fQ0Ltp2wd8n9Yk8YFt9njS1h9+Ef4zGmEK1VVsXlttLhbsBgsDEwYSL+YfsSZ4+T/khBCCCFEmJCiu49TVCVYXO9ord5RBOxY3tFF2KQzYdKZ9thFXIS/itYKvtj6BQu3LWR9w/pdtuu1eo7KPopT809lbNZY9NrdvMSoftL835O/+itiW34Irk4tf71d0Q2EbcEdUAJYPVZsXhvRxmgKkwvJiM4gxhQT6mhCCCGEEKKTSdHdB6iqijfgbVdcu/wubB4bdq8db8CLJ+BBURTQgF6jbxvkTNd2DfZuCyfRJ6iqyuamzXxT/g0Lty3k14Zfd7tfUXIRp+adyoSBE/Y4Z7TBU09S9YckVX2A0VsHnt+3+XVROGKGgeKHMP598wa8NLma8Aa8xJvjGZE6grToNCIMEaGOJoQQQgghukj4vrvtgwJKAE/A01ZU/zaImd1rx+qx4vF78Aa8+BQfABo0GHVGjDojkYZI4s3xMkWXAMDpc/Jj5Y98W/4tS8uXUuuo3e1+g5MGMz53PMfnHk9WbNYe78/s2Erm1qeJbVqKZqeB1TzmTOoyz6Ih/U8o+qhOfR49haqqOHwOWtwtaDVakiOTyYrJIjkyud3c80IIIYQQIjxJ0d3LKKqCx+/5vTt4wIPT68Tms+HwOvAGvHgDXhRVQYMGvVYfLK6jjdEYdIZQPwXRwwSUAJuaNrGsahnfVXzHiuoVwQ9ndlaYVMjxucczfsB4+sV0bGAzRWsmrnFJcFlFS42uhNbB52NPGhO282x7A16sbitOv5MoYxQD4geQEZ1BvCVeRiIXQgghhOhDpOjuJbwBLwu+W0BUZhRexYvX72271lptGx26XWGtNUirtdgjRVXY2ryVZVXLWFa1jOXVy7F5bbvd16gzUpJewhFZR3BU9lFkxmTu/k5VlQjbWuLrF+I3xFObfVFwk9eSgS12FCZXBY1pp1KX+idK1ylkJGSEXfGpqAo2jw2b14ZWoyUxIpGimCKSIpKkC7kQQgghRB8lRXcv4Qv42LZhGwVpBUQYIogzxcm11qJD3H436+vX80vtL6yuW82q2lU0u5v3uH9aVBpHZh3J2KyxHJJ5CGa9efc7Kn6iWlcR27CY+PqFmDzVAHhMadRmXQh/GGhva9ED+I3xoNH9Nid71e7vs5dyeB20elrxK36iTdHkJeSRGpUqrdpCCCGEEEKK7t4myhi15yJI9HmKqlBmLePXhl9ZU7eGVbWr2NC4ITgC/e7EmmIZnTGakvQSDsk4hP5x/fc4Mr3e20xM01JiG78hpvl79P5dW8iNnnpMzu14IvsH1/lNSQf93Hoaj9+D1WPF5XcRaYgkIzqDtOg0Ei2JmPSmUMcTQgghhBA9hBTdQvRSfsWP3Wvnow0fsaFxA782/MrGxo24/K693i7aGM2ItBEcknEIJRklDEoY1KHWWIvtVwqXX4gGdZdtqkZHa9yhNKccT0viMQSMcQf6tHo0b8BLq6cVh8+BSWciwZJAUXQRiRGJRBnDcyA4IYQQQghxcKToFqKHU1SFals121q2saV5C9ua275vbtrMJGUSb1e9vdfbD4gbwNDUoQxLHcawlGHkxOXsuchW/ETa1hLdsgyPJYvmlAnBTa7IQQT0UcHWbb8+mtb4w7EmHok1cSwBQ1xnPeUeZccsAE6fE4PWQKw5lkEJg0iMSCTWFCvz1QshhBBCiL2SoluIHsLtd1PRWkFFawWlLaVsbd7KtpZtbGvZhtvv7tB9ZERlUJBUQEFiAUXJRRSnFBNjitnj/npvM5Gta4hsXf3b91XolLbHssYf3q7oRqunPuPPaFQFa+KR2GOGheWc2oqq4PQ5g3PYG3VG4sxx5CXmEW+OJ9YcK9dpCyGEEEKIDgu/d8xC9GB2r52K1grKreVU2H773lpBeWs59c76Dt+PBg3Zsdmk+FP4R/E/GJw4mPzEfGLNsfu8bVTLCpKqPiCydTVmd8We97OuRKP4ULW/TzNXNeBvHc7Ym7j9bhxeBy6/C1VViTRGkhqVSkpkCrGmWGJMMdKiLYQQQgghDogU3UJ0Er/ip8HZQI29JvhV66ht+26vpcZRQ6undb/uU4OGfjH9GBA/gAHxA8iNy2VA/AD6x/XHrDez7PNllAwraX8jVcXgqcPi2ESEfQONaafhM6UENxs9tSTWfbrbx/MaU7DFjcIWV4ItvgRVE54vER6/B5ffhcPrQFEVjPq26fZy4nKIM8cRa46VAQuFEEIIIUSnCM931EJ0Il/AR6OrkUZXIw3OBhqdv313/f693lFPvbMeRVUO6DESLAn0i+lHv+h+ZMVmkRWTRW58LjmxOXudsksbcBJbvwiLcxtmZylm5zbMzu3oAo7gbu6I/rQkHx9ctscMbbu51oQjuhBHdDGOmGIcMUPxmVMPKH9PpqgKLp8Ll9+F2+9GRcWoMxJpiGRAwgDizfFEm6KJMkZJt3EhhBBCCNHppOgWfY7b76bF3dLuy+qxtn13W2nxtK3bUVxbPdaDfky9Vk9qZCqpUalkxbQV1f1i+gW/9jTytTbgwmjfjEb144oe3G7b0O9PY3PTcQxau/eB1CLsG9sV3V5zJutHz8EZmRd212Srqoo34A0W2D7FhwYNZoOZaFM0/eP6BwvsSEMkOq0u1JGFEEIIIUSYC6933KJPCCgBfIqPKlsVNq8Nu9eOzdP2/Y9ff9zW4vmtoHa34Al4Oj1TvDmetKi04FdqZGq75QRLwm5bUXXeFsyuzRhb6jF4ajF66jF46jB6ajC5qjD4GgGwxY5k48gX293WY+m3y/2paPCaM3BF5OKOzMUZVYAjZlj7nTQanNGFnffkQ0RRFTx+D56AB7ffjTHNSIWtAqPOiEVvITMmkzhzXLDANuvNcl22EEIIIYTodlJ0iy71x5ZHl8+F0+fE5W/73u5nj5Pamlr0P+pxB9zttrl8Lhw+R7CYdvgcTGYyfy/7e5dmN+qMJFmSSIpIIjEise27ZafvEYkkWBLQ72gxVvzofS0YfM3ofc3ovRXom9Zg8Dah9zVTmXtNuzmsk2o+ot/Wp/aZxeSq3GVda8LheE16qnIuwx3RH3dkLm5LNqouvK5F9it+vAEv3oAXj9+DT/GhqioarQazzoxJbyIzJpOiQ4uIMEQEv6QVWwghhBBC9AQ9ruh+9tlneeSRR6iurmbIkCHMmDGDo446ao/7f/3119xwww2sXbuWjIwMbr75Zq688spuTNz1FAU2bQa7HcrKYVB/0HagwU5VVQJqAF/Ah0/xBb/7FX/wZ2/AG1z2BnxU1nppdbrRGb1Exnjw/taK6Al4gkXPjpbFPy57/B7cgd/XubwePIoHn7Kfrco1B3SI9kmn0RFnjgsOkhVnjiPWFIfGG4tJiSMpOo6BGXHEmmJxNsWid1vQOxUSIu3ERbSSHm+ntc5GwGmjvHEQzthiLGrbOdmytYFztVcQoWnBwt67or+07C806eI49DDo3x+8fxjgbGc2NRmPORPiMvBa+uH3q/z0k4b6Bgj4ITLqUvzuZXynKSE7Zd+/E4oK5eVtmaOiICurbf0f12VmQlkZ/PgDOF1tv3tJSZCaAoccClotlG2HzVsAFSwREB0NNhu4nIAGBgxou9+tW3/fJzYGomPa7r+yHHS/PW5WTtvv6bYyHy2tXozmtgJ7y3YvqqpiMUNMtI74WCM5mUZcjcngjiM53kLhIAuRJgtmvbnXX4utKLB5M1itEBsLgwa1HWshehr5XRVCCCH2X48qut9++22uu+46nn32WcaOHcvzzz/PSSedxLp168jOzt5l/23btnHyySdz2WWX8frrr/Ptt99y9dVXk5yczJ///OcQPIPO9/PPMP2Nj/nO9zwnRGfy0AdzMFkUYuN96E2+XQpqX+C3ovq3n1XUUD+FTmHQmNAFosEbhdYfhd6UQBbjGZQVTb+UKKKMUUQbo4nVQhw+YnVaYnVa4nQaYrUqsZoAOsWNNuBCF3BSZU3goa8vpXQbeLxgMsKkI29lRMIyInU2DDp/2wO3/PZV9XuWrxdfxv8tKUZVwOsDszaSv03f3qHn8dUnzSzcBCYzjBgBF5+aT2rNOazalsK2uhRKm1KoaE6hypaMqjMRGwPDh7e9sf38c6iqAperrYAGOGcCPDu3bZ8LL4LBBbt/3F83wH//S7vnG/vb7GJWa9s6nw8a6qGlpW05OCacBiwWSE6CuDioq4PWVvD5Qd3p10u/U+OyX/Wj0fqJiPKTkOhHo/cTGeXj3ovhoWcrMUUAqgZ7qx5bi5HGegPu1iQUdzSq14JGMRFlMZGWaEavMWExazEawWyGwkK4+GIYObJDh77H+vlnePVVWL8e3O7wem4ivOztd7W4ONTphBBCiJ6rRxXdjz/+OJdeeilTp04FYMaMNiMUtgAAI5pJREFUGSxYsICZM2fy4IMP7rL/c889R3Z2NjNmzACgsLCQZcuW8eijj4ZF0f3zz3DPPbDGXEr94PkEmEyrYRkA9TbAFtp8f6TVaDBozCheEwRMGLQmYvRejKoO1atF5zNgUvWY0WNGh1nVYVJ1WNBSaR+KPnoQJ4x08fSsfiTqnDww8TUSTX6iNQEsAR8mjY8IoxeLyYZJ28j8uqG8nvkFf/n8UyZelBwsNlPLZtNv6zP7zGtvHciv6y8lJaWtoKytA8XRSlxa8z5vGx/Riq0VAgpoNODGQq0tAbvXQoMjnkZXPHX2BGpb236ussZTZ0ug3h7HpoZsFBU87rbW5JUrB6DV3IRGCx5PW+ELbfdrUMHugMVLYOHCttYkRW173B0UBayt8N130NAA19+wa+H96wZ46cW2YvqPz/e779q2Fw2BmGhYvqKtxXuXz2lUcLkDlFUolFUFMJkV0AVQNAECSgA0CmgDaPV+3Kr62+01oAEdOlB12Jx6HE49emJJjjMBZcS4hrHsawsoRvIHGLFtNWJvMKIENKgq6HRtd2O1gq0ODIa2or+kpO05LF8O27fDXXf13uJ0x//xhgbo1w8iI8HhCI/nJsLLvn5X77gj1AmFEEKInqvHFN1er5fly5dzyy23tFs/YcIEli5dutvbfPfdd0yYMKHduokTJ/Lyyy/j8/kwGAxdlrerKUpbi0JDA2SONrJ1N/sYAKNWg1GjwagBgwZMGg2YU9EZojBoDRi0BiIUBzHOLRg1YARMGhWDRsWsIbjOqAEtOt4vvwodJnSqCa1q4pjojzk240csWrBo2r7Mf/h5x7I98Wiu+fwxfl0P/XPbisbnR59KsmnXa5F39rcPj6fGNJ7RMVVEWDNIjCzj7Iyf93obraat8nQ7PHz8MeTnt3WvVrSWDh1fk9YVzKmqUF8H9c5ESpsyaHFH4VKisXpiqG+NotEeTbM7BqsrCkcgmnV1A4MtvDu+93vgM8wm8HrB/1sjuVYL/gBtReiOrt+//azVgd/X1iXbZAKDEZRA23PQatvOv98PRmNbga4ooDe0tT5rf7t9W3Gr4vUpmMwqpeUq//mvSs4ABY1GRVVV/IrCB/9VabCpZA9QQKPiVRWqWxS0USpoFKqsKgFVwalTIHpHxa0BjdqWWwFULag6ULR4FB0GvQ6NqgO/CXwmUEwoAWPbsqqHgB4UPVqdAbPBgMNmIBAwEBWjQevzAWU0b8/C5DOgqrBlfVsLvk7b9rz8/rZzYzKB09m2bLG0fd+yBcaMaWthW78eXnutraW/t3Vx/eP/8cLCtucLEBPT+5+b+P/27j0uyir/A/jnmRuj3C+KoAQiInJzEbRotYualreyta21zF+3zTJX5eUl1FJbFbfcNjXXvG6tpuZWbmtpSq1YlnlBIUQ0vOANXZW4yWUYmOf3x+EZZmQQUEYu83m/XvMa5sw5z3POc+bofOec53naloZ8VjdtAm5yJhgREZFDazFB97Vr11BVVQVfX+v7BPv6+uLyZdsn+l6+fNlm/srKSly7dg1+fn61yhgMBhgMNecZFxUVAQCMRiOMyjRjC3DypHgEBQHtKkeja97dGBSwEKv9aoJk8cVHxo1Tk2k9p6HA7Tfm1975PyDql/qnIYwmCZmnrVcIPND+MIbbvpuVldJSA87lFsG3CwCtqFGl3LBIQed0HWdzRT+4eRdBp6uwet9QpYWhUgtDlQ4mlQ6Vsg6lVe3xy/UweHe6jpO5BTh2EujsL8Ok8YfUcSSqVHpUqduhStUOlep24rVKj8sF7fCvf7cDtO0ha3+FDDFbY5BlTNs7CUXFACDD01Psu6AQgCzDYAR01b/hmGRA73kFgAiCJZUsZqadZGhkwGAQwapaLc69BuSaAFaSzYG3FmLbarUESSXDydn6vGyTCYAK1Uuwxd+QRWCqfOnNvqaHziMXencJkCVkn5Vw/LSEzv4qSJBw6ZKE3Esq+PtJ0KklSFChrFQLU6kK3noNYNKiLE8NY7kaTtc1kEwayFVqQFZBgniWZRVgUouHrAFMajjpVDAaNNCZREVuXGauUMuAkwqQnQBZroRKBbi6inFWXGyEl5cIpK9cET8waDRixl/h5CS2rcx8u7uLZa2lpeLvoCAgOxs4cUIswW9NLMe4rd8HW3PbFMq/qS3p31ZqvIZ8Vk+dMqJ/f/a1I+C4dhzsa8fBvr51DT1mkizX9XX5zsrNzUXnzp3x448/Ij4+3py+YMECrF+/HsePH69VJjQ0FM899xwSExPNaT/88AP69euHS5cuoVOnTrXKzJ07F/PmzauVvnHjRrRv376JWtP0JLkSwf+bi3DXLMhQQYYKgFT9t1o8S+L1Iadp+FVdc0so76oMRBtWVedRyqkhm8uLNBM02NfO+tjcZUyGb1WqeT8mSSOeoTyrIUsaFEtdcF47wKps58rvoJHLzXlMUEOGeDZBA1kS5UskPxhUXjUF5SpoUYYqaGGCFrBxkaz8/Hx4KpExERERERHRHVZaWooxY8agsLAQbm5udeZrMTPdPj4+UKvVtWa1r1y5Ums2W9GpUyeb+TUaDby9vW2WSUxMREJCgvl1UVERAgICMHjw4JseqDvt5Elg2jTA01Ms4QMAE4ZBrPUVF7LKLwD+sgjo1s26bGytrT0EIKFWKiCW6s54HfD0qNmPpaKih+rcj+U9j0+eBFbOsK4vMBjZ2cCPP4rlsZIEtKu+m1VZuXhtMkkwmYC+fSoxZfK3mDNvICoqNKioAPr2FXkPHKheOm6S0LevOK+3pn5Afj7w9ttA9xDbl+++sZ43HteCArEPSQLyxG2xoXzkrl4Vs6zl5WLWFahZ+g0AVVViBlaSxEWFZFnMwkqSmLWtqFDqUDM7Lcs1f5tMYuZIpRLbVI6TLIv3lHRlG0DN/pTyJhPQoYN43bUrsHx5zcyorfYWFgL794uZZaW+BoO4ArmyTaBmSbMy06zUQZZFW43Gmrx1znSrRd7ycpHHyQnw9zdi/vxkTJ/+ENRqrXmmWzlmN850W5b18RH7vPtuMdOt9P8777S+2WBbfWOpNbdNYTQakZycjIceeqhVn+7j6BryWb1+3Yj/+z/2tSPguHYc7GvHwb6+dcqq6fq0mKBbp9MhNjYWycnJGDVqlDk9OTkZjz76qM0y8fHx2LZtm1Xarl27EBcXV+cHxsnJCU5K9GRBq9W2qA9Zjx7ii3ZqquU5dKJ+sgycyxEXlIroeXvne0b0BEK73bgfNHo/ET2B0Fr1BYLuAvZ+B5QZRHCpqd5GRbkIJpVgqkeoWJpR8KsTysu16NABcKleeKDXidtYBQYCLs7Kkm1R9mx1/XqGNew42Dquzs4iMLx6VZxXrASWgKjj9eti2xUVIi9QfQVxiwuaKYGz5cXQlIDZMshW/tZqawJywDq4VM7pBsRtvAwGEdzrdCJdWWotV5/7rNWKwFmjAaKjRRuVY2Grve3b17QXEAF7+/bifM2qqpq2K9uwbKeSrvwoYDTWtEn8iGJ9/HQ6kb+sTKRptTXBvaurFhcuiHO6NRqRp7xc1EFpl3KslTyFhTX1NRqBnOr+t2xza2F7jAuy3LrbdqOW9u8rNU5DPqt33y1es68dB/vacbCvHQf7uvEaerxa1Fe5hIQErFmzBuvWrUNWVhamTJmCc+fOme+7nZiYiGeffdacf/z48Th79iwSEhKQlZWFdevWYe3atZg6dWpzNaHJqFTiNiw+PuIiNUVFIhApKhKvfXyAZ5+9/S/jTbWfurZTUiJmjVUqEUxVVIhnJUADxEXQFEajeHTuLPIVF4vgy8VFBF3Fxbd3HGzVs6pK7M9oFEGis7OYYSwtFfk1GvGsVotnvb7mS6cSbMpyTSDu5iYu+gWIZ+V9y9ngqiqxXReXmuBSra6ZRVcCVKn6dl1KUK8E5EZjzcXGdDrxd2ioaJvlsaivvcqxDg0VdbGkzKIr7VSe9fqawNuyTZaz9JJUk6e8vGYW22gUzwDg51fTjtBQcdyUfSrbMRhqylZWiudu3cTnoCnHQXO4U2Oc6HY15LP6hz80dy2JiIharhYz0w0ATz75JPLy8vDWW2/h0qVLiIyMxPbt2xEYGAgAuHTpEs6dO2fO37VrV2zfvh1TpkzB8uXL4e/vj6VLl7aJ24UB4lZBb75Zc1/U3FwR8MTFiS/jTXUroabaT13befxx8QVt8+bqe0IbxJc4Dw8xa+LqCpyuvjz7oEEiEMvLE0sa9XrggQfEUvP9+5vmONRVz4cfFoHemTNiZr2kRAS8nTtXXxStCvj1VxFEenqK4FCZha6qQvVFwkRQGBws2pCVJWaQldlaJRht3x747W9F/bdtA374QWzDMujUaEQg2q+fuAfuli2ibpbBsF4PeHmJPFOn2j4W9bU3L0/8yBAWJt67dk200TLgdnYWx8HbG7hwQeRXZt8Vyg8AlpQfWDw8xI8vanXN8lRZtq6Dv79Iv35d7Fsp6+4OdOpUs1Q9P18cz6YeB83hTo1xottV32c1MlL820BERES1tZgLqTWXoqIiuLu713vye3MymUQAWlgoApCQEPvMfjXVfuraTkUFsH69CGjvugsYO1YElidPAvn5Rly+vB0PPzwUWq3WZvmmPg62tgco9RHnent4iAA7OFj8MGCZ7u4utnHsmHh2dRUBsKdnzbZ++QU4elQEkAUFImh3dhY/LoSF1bRLySfLIiAvKRHvRUZW3w6teqn6t9+KL7uVlSJ4Vaut89xqe5W04GBRl2++qQl+/fzEfXkHDhT7sKyri4s4FgUFIr8kAeHhYrvHjtXkUY5LcDCQnW3EL79sR2joUPToobWqg6trzTG1Vfb0afuPg+Zwp8b4nWY0GrF9+3YMHTqUy9XaiLo+q+xrx8G+dhzsa8fBvr51DY0lW9RMN9mmUlkvwW7p+6lrOzod8MILtdNDQ8Xs9vbtNUuobZVv6uNQ1/bq2kdd6UqQaUtYmHjUV4+G5NNogCFDbp6nvv00pL3h4bffJmU7toSEiMDdMrC0VQdb7sQ4aA53aowT3S5+VomIiBqvDcylEBEREREREbVMDLqJiIiIiIiI7IRBNxEREREREZGdMOgmIiIiIiIishMG3URERERERER2wqCbiIiIiIiIyE4YdBMRERERERHZCYNuIiIiIiIiIjth0E1ERERERERkJwy6iYiIiIiIiOyEQTcRERERERGRnTDoJiIiIiIiIrITBt1EREREREREdsKgm4iIiIiIiMhONM1dgeYmyzIAoKioqJlr4tiMRiNKS0tRVFQErVbb3NUhO2JfOw72teNgXzsO9rXjYF87Dvb1rVNiSCWmrIvDB93FxcUAgICAgGauCREREREREbU2xcXFcHd3r/N9Sa4vLG/jTCYTcnNz4erqCkmSmrs6DquoqAgBAQE4f/483Nzcmrs6ZEfsa8fBvnYc7GvHwb52HOxrx8G+vnWyLKO4uBj+/v5Qqeo+c9vhZ7pVKhW6dOnS3NWgam5ubhzsDoJ97TjY146Dfe042NeOg33tONjXt+ZmM9wKXkiNiIiIiIiIyE4YdBMRERERERHZCYNuahGcnJwwZ84cODk5NXdVyM7Y146Dfe042NeOg33tONjXjoN9bX8OfyE1IiIiIiIiInvhTDcRERERERGRnTDoJiIiIiIiIrITBt1EREREREREdsKgm4iIiIiIiMhOGHST3X333XcYMWIE/P39IUkS/v3vf9dbZs+ePYiNjYVer0dwcDA++OAD+1eUbltj+zolJQWSJNV6HD9+/M5UmG5ZUlIS+vTpA1dXV3Ts2BGPPfYYTpw4UW85ju3W51b6mmO7dVqxYgWio6Ph5uYGNzc3xMfHY8eOHTctwzHdOjW2rzmm246kpCRIkoTJkyffNB/HdtNi0E12V1JSgl69euH9999vUP4zZ85g6NCh6N+/P44cOYKZM2fiT3/6Ez777DM715RuV2P7WnHixAlcunTJ/OjevbudakhNZc+ePZgwYQJ++uknJCcno7KyEoMHD0ZJSUmdZTi2W6db6WsFx3br0qVLFyxatAiHDh3CoUOHMGDAADz66KPIzMy0mZ9juvVqbF8rOKZbt4MHD2LVqlWIjo6+aT6ObTuQie4gAPLWrVtvmmf69OlyWFiYVdrLL78s33PPPXasGTW1hvT17t27ZQByfn7+HakT2c+VK1dkAPKePXvqzMOx3TY0pK85ttsOT09Pec2aNTbf45huW27W1xzTrV9xcbHcvXt3OTk5Wb7//vvlSZMm1ZmXY7vpcaabWpx9+/Zh8ODBVmlDhgzBoUOHYDQam6lWZE8xMTHw8/PDwIEDsXv37uauDt2CwsJCAICXl1edeTi224aG9LWCY7v1qqqqwubNm1FSUoL4+HibeTim24aG9LWCY7r1mjBhAoYNG4ZBgwbVm5dju+lpmrsCRDe6fPkyfH19rdJ8fX1RWVmJa9euwc/Pr5lqRk3Nz88Pq1atQmxsLAwGA9avX4+BAwciJSUF9913X3NXjxpIlmUkJCSgX79+iIyMrDMfx3br19C+5thuvTIyMhAfH4/y8nK4uLhg69atCA8Pt5mXY7p1a0xfc0y3bps3b8bhw4dx8ODBBuXn2G56DLqpRZIkyeq1LMs206l169GjB3r06GF+HR8fj/Pnz2Px4sX8T7wVee211/Dzzz9j79699ebl2G7dGtrXHNutV48ePZCWloaCggJ89tlnGDduHPbs2VNnMMYx3Xo1pq85pluv8+fPY9KkSdi1axf0en2Dy3FsNy0uL6cWp1OnTrh8+bJV2pUrV6DRaODt7d1MtaI75Z577kF2dnZzV4MaaOLEifjPf/6D3bt3o0uXLjfNy7HdujWmr23h2G4ddDodQkJCEBcXh6SkJPTq1QtLliyxmZdjunVrTF/bwjHdOqSmpuLKlSuIjY2FRqOBRqPBnj17sHTpUmg0GlRVVdUqw7Hd9DjTTS1OfHw8tm3bZpW2a9cuxMXFQavVNlOt6E45cuQIly21ArIsY+LEidi6dStSUlLQtWvXestwbLdOt9LXtnBst06yLMNgMNh8j2O6bblZX9vCMd06DBw4EBkZGVZpzz33HMLCwjBjxgyo1epaZTi2mx6DbrK769ev4+TJk+bXZ86cQVpaGry8vHDXXXchMTERFy9exD//+U8AwPjx4/H+++8jISEBL730Evbt24e1a9di06ZNzdUEaqDG9vV7772HoKAgREREoKKiAhs2bMBnn33GW1K0AhMmTMDGjRvxxRdfwNXV1fyLuLu7O9q1awcAHNttxK30Ncd26zRz5kw88sgjCAgIQHFxMTZv3oyUlBR8/fXXADim25LG9jXHdOvl6upa6xoczs7O8Pb2NqdzbN8BzXXZdHIcym0mbnyMGzdOlmVZHjdunHz//fdblUlJSZFjYmJknU4nBwUFyStWrLjzFadGa2xf/+Uvf5G7desm6/V62dPTU+7Xr5/81VdfNU/lqVFs9TMA+R//+Ic5D8d223Arfc2x3To9//zzcmBgoKzT6eQOHTrIAwcOlHft2mV+n2O67WhsX3NMty033jKMY9v+JFmuPiueiIiIiIiIiJoUL6RGREREREREZCcMuomIiIiIiIjshEE3ERERERERkZ0w6CYiIiIiIiKyEwbdRERERERERHbCoJuIiIiIiIjIThh0ExEREREREdkJg24iIiIiIiIiO2HQTURERERERGQnDLqJiIjIrvLy8tCxY0fk5OQ0qtzLL7+MMWPGNHneWzF69Gi8++67dts+ERG1XQy6iYiIHMiFCxfwyiuvICQkBHq9Hr6+vhg8eDAyMjIAALIsw8PDA8uWLatVduLEiejduzcAIDo6GnPmzLG5j4ULF8LT0xNXr14FACQlJWHEiBEICgpqVF2TkpKwevXqRuedPHkyHnvssUbtqz5vvvkmFixYgKKioibdLhERtX0MuomIiBxETk4OYmJicO3aNaxfvx7Hjx/Hp59+ivDwcDg5OQEATp06hcLCQsTFxdUqf+jQIcTGxgIQQbcSqFu6fPkykpKSMG/ePHTo0AFlZWVYu3YtXnzxxUbX18vLC87Ozo3Oe/DgQfTt27fR+7uZ6OhoBAUF4eOPP27S7RIRUdvHoJuIiMjCpk2boNfrcfHiRXPaiy++iOjoaBQWFjbJPh544AFMnDgRkydPhqenJ3x9fbFq1SqUlJTgueeeg6urK7p164YdO3ZYlfv666/Rr18/eHh4wNvbG8OHD8epU6cAAFevXkWnTp2wcOFCc/79+/dDp9Nh165dAIBly5bB2dkZn3zyCeLj4xEUFIT+/fvjvffeQ2hoKAAgNTUVGo0Gv/nNb6z2XVlZifT0dHPQHRUVhaNHj9Zq28yZMxEYGIhXX30VALBjxw5oNBrEx8eb83Ts2BFr1qyxKnfw4EE4OTmZ25OTkwNJknD27FmYTCYsXLgQ3bt3N8/Ojx071lzWMq9Op8OPP/6IWbNmQZIk3H333fX2x//+9z9IkoQlS5YgJiYGer0eERER2Lt3r1W+kSNHYtOmTfVuj4iIyBKDbiIiIgtPPfUUevTogaSkJADAvHnzsHPnTuzYsQPu7u5WeRcuXAgXF5ebPr7//nub+/noo4/g4+ODAwcOYOLEiXjllVfwxBNP4N5778Xhw4cxZMgQjB07FqWlpeYyJSUlSEhIwMGDB/Htt99CpVJh1KhRMJlM6NChA9atW4e5c+fi0KFDuH79Op555hm8+uqrGDx4MAAgPz8f5eXlOHfuXJ3tT01NRXh4ONq1a2eVnpmZibKyMqug+9SpUygrKzPnOXLkCD766CMsXboUGo0GAPDdd9/VmjWPjIxEZmamVVpiYiL++Mc/olu3bgCAtLQ0eHh4IDAwEElJSdi4cSNWrVqFEydO4PPPP8cDDzxgLqvkDQgIMAfKaWlpuHTpEnbu3FlnWy3rDQB///vf8be//Q3p6ekICgrC008/DZPJZM7Xt29fHDhwAAaDod5tEhERKTTNXQEiIqKWRJIkLFiwAKNHj4a/vz+WLFmC77//Hp07d66Vd/z48fj9739/0+3ZKgcAvXr1wuzZswGIgHPRokXw8fHBSy+9BECcQ7xixQr8/PPPuOeeewAAv/vd76y2sXbtWnTs2BHHjh1DZGQkhg4dipdeeglPP/00+vTpA71ej0WLFpnzv/baa/j2228RHByM3r17Y9CgQXj22WcRHh5uzpOamlrn0nKtVovo6GgAIug2mUzIysoyn+c9efJkjBo1CgMGDDCXy8nJgb+/v9W2oqKicOzYMfPrXbt2Yf/+/di4caM5LT09Hb169QIA7Ny5E8OGDcODDz4IAAgMDMRvf/vbWnlVKhVyc3Ph7e1tLtsQ6enp0Gq1+Prrr9G1a1cAwFtvvYW4uDhcvHgRAQEBAERfGgwGXL58GYGBgQ3ePhEROTbOdBMREd1g+PDhCA8Px7x587B161ZERETYzOfl5YWQkJCbPm6cMVYowSsAqNVqeHt7Iyoqypzm6+sLALhy5Yo57dSpUxgzZgyCg4Ph5uZmDhAtZ64XL16MyspKbNmyBR9//DH0er35vd69e+P06dPYvXs3Hn74YXz++efo1asXtm7das5z+PDhOoPuiIgI87nfAQEB8PDwMJ/X/emnn+LgwYP461//alWurKzMqg6A9Uy3LMuYOXMmpk2bho4dO5rzpKWlmQPnkSNHYvHixRg8eDA++OAD/Prrr1bbs8x75MiRRgXcSvnHH3/cfDwBmNtpSelLy9UHRERE9WHQTUREdIOdO3fi+PHjqKqqMge/ttzO8nKtVmv1WpIkqzRJkgDAannziBEjkJeXh9WrV2P//v3Yv38/AKCiosKc5/Tp08jNzYXJZMLZs2dr7VetVuP+++/H/PnzkZmZiY4dO5pnmM+fP4+CggL07NmzVrlvvvkG9957r1Wacl63wWDA9OnTMX369FozwD4+PsjPz69V7uLFiygqKsKWLVtw4cIFJCQkWOVJT083n1c+depUZGVlYdCgQVi2bBlCQkJw5swZm3ktA/CGSktLq3UO++HDh+Hj42O1UkEJ9jt06NCo7RMRkWPj8nIiIiILhw8fxhNPPIGVK1di8+bNeOONN/Cvf/3LZt7bWV7eWHl5ecjKysLKlSvRv39/AKh1oa+Kigo8/fTTePLJJxEWFoYXXngBGRkZdf5wYDKZYDAYzEGk0WgEUHsmNzk5GSdPnsTatWut0pWg+91330VVVRVmzJhRax8xMTHYsGGDVVpkZCQkSUJ6ejreeOMNzJkzBy4uLub3i4qKkJOTYxU8h4aGYvr06Zg0aRLc3d1x7NgxdO3atVbejIwMjBo1qu4DeYOysjJkZ2ejqqrK6rgsWbIE48aNg0pVMz9x9OhRdOnSBT4+Pg3ePhEREYNuIiKiajk5ORg2bBhef/11jB07FuHh4ejTpw9SU1PNFxCz5OXlBS8vrztSN09PT3h7e2PVqlXw8/PDuXPn8Prrr1vlmTVrFgoLC7F06VK4uLhgx44deOGFF/Dll1+a2zNgwAD4+vri9OnTWLhwIWRZNs8yd+3aFWFhYUhMTIROp0OHDh2wf/9+zJo1C8888wzuu+8+q/1FRUVhy5Yt+OGHH7Bu3TqbS+mHDBmCxMRE5Ofnw9PTEwDg4uKCwMBATJ8+HQDM57Er0tPToVarERERgbfffhu+vr7o06cP1Go11qxZA09PT/Osu2VeQATMP//8M3Jzc+Hs7Fzr4nc3ysjIgCRJ2LBhAwYMGAAPDw+8+eabKCgoMJ9zr/j+++/NF6UjIiJqKC4vJyIiglg6/Mgjj2DkyJGYOXMmACA2NhYjRozArFmzmrl2gEqlwubNm5GamorIyEhMmTIF77zzjvn9lJQUvPfee1i/fj3c3NygUqmwfv167N27FytWrEDv3r3x5ZdfYvjw4ejZsyfGjx+PsLAwpKenIyQkBIBY0v7VV1+hW7dueOqpp3Dfffdh5cqVmD9/Pj788MNadYqKisK1a9cQFxeH0aNH26x3VFQU4uLisGXLllrpP/30ExYsWGC+0rkiPT0dYWFhcHJyQnl5ORYuXIjY2Fj069cP2dnZ+O9//2sO4C3zAsD8+fPxySefoHPnznjrrbfM2/zwww/NS/YtpaWlISwsDLNnz8bo0aMRFxcHlUqFffv2wcPDw5yvvLwcW7durfUDARERUX0kWZbl5q4EERERtV3bt2/H1KlTcfToUavl2nfS3LlzkZKSgpSUFKv0CRMmID8/3+rK6bYsX74cX3zxhfme50RERA3F5eVERERkV0OHDkV2drbV7bfutJ07d2LJkiW10tPS0jBixIh6y2u1WixbtsweVSMiojaOM91EREQt2DfffIOMjAxMmTLlpu8/+uijyMzMbFAASYIsy3B3d8fmzZsxdOjQ5q4OERG1UQy6iYiI2oDly5ejtLQU06ZNa+6qEBERkQVeSI2IiKiZ/fTTT1Yz1Nu2bcPzzz8PAHjkkUeQlZUFAFi5ciV69+6NyMhIjBkzxvz+nj17MHv2bKxevRoxMTEoKyu7840gIiIimzjTTURE1MyKiooQFxeHX375BQAQHx+Pjz/+GMHBwQgJCcHx48dRXFyMQYMG4cCBA1Cr1SgoKICHh4f5/QcffBAbN25stnOmiYiIyDbOdBMRETUzNzc3GAwGGI1GbNu2DREREQgODkZhYSFcXFyg0Wig0WiQl5eHGTNmIDMzEx4eHlbvX7hwgQE3ERFRC8Sgm4iIqAXo3r07Tp48iaSkJMyePRsAcPToUURERAAAXF1dkZGRgV69emH06NH48ssvze9fuHABnTt3bs7qExERUR0YdBMREbUA4eHhWLx4MaKiohAUFARABN2RkZEAgOzsbLi6umLs2LHo378/DAaD+f0zZ87A39+/GWtPREREdWHQTURE1AL07NkTGzZswKxZs8xpmZmZ5qD7z3/+M3r06IGYmBjo9XqMGjXK/H5kZCSys7MRFRWF48ePN1cTiIiIyAZeSI2IiIiIiIjITjjTTURERERERGQnDLqJiIiIiIiI7IRBNxEREREREZGdMOgmIiIiIiIishMG3URERERERER2wqCbiIiIiIiIyE4YdBMRERERERHZCYNuIiIiIiIiIjth0E1ERERERERkJwy6iYiIiIiIiOyEQTcRERERERGRnTDoJiIiIiIiIrKT/wexDMYL6NZWIQAAAABJRU5ErkJggg==", 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" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "At x = 2.00:\n", " Predicted mean: 0.432\n", " 95% CI: [0.120, 0.797]\n", "At x = 2.50:\n", " Predicted mean: 0.857\n", " 95% CI: [0.343, 0.997]\n", "At x = 3.50:\n", " Predicted mean: 0.982\n", " 95% CI: [0.801, 1.000]\n" ] } ], "source": [ "import numpy as np\n", "from scipy import io\n", "from scipy.stats import norm\n", "from sklearn.linear_model import LogisticRegression\n", "import matplotlib.pyplot as plt\n", "from scipy.ndimage import gaussian_filter1d\n", "from matplotlib.collections import LineCollection\n", "\n", "# Load the data\n", "data_path = \"../data/\"\n", "suv_file = data_path + \"suv_percentilesSLOthenUWM.mat\"\n", "flags_file = data_path + \"flags_combined.mat\"\n", "\n", "suv_dict = io.loadmat(suv_file)\n", "flags_dict = io.loadmat(flags_file)\n", "\n", "# Extract and preprocess data\n", "suv = suv_dict['lung_SUVperc_COMBINED'][0:58, :, :]\n", "flags = flags_dict['flags'][0:58, 3]\n", "p = 94 # Target percentile\n", "X = np.nanmax(suv[:, :, p], axis=1).reshape(-1, 1)\n", "\n", "# Remove NaN values\n", "valid_indices = ~np.isnan(X).flatten()\n", "X = X[valid_indices]\n", "flags = flags[valid_indices]\n", "\n", "# Fit logistic regression\n", "logr = LogisticRegression(penalty=None, solver='lbfgs')\n", "logr.fit(X, flags)\n", "\n", "# Model parameters and covariance\n", "X_design = np.hstack([np.ones((X.shape[0], 1)), X])\n", "pred_probs = logr.predict_proba(X)[:, 1]\n", "V = np.diagflat(pred_probs * (1 - pred_probs))\n", "cov_matrix = np.linalg.inv(X_design.T @ V @ X_design)\n", "params = np.insert(logr.coef_[0], 0, logr.intercept_[0])\n", "\n", "# Bootstrap configuration\n", "n_bootstraps = 100000\n", "bootstrap_params = np.random.multivariate_normal(params, cov_matrix, size=n_bootstraps)\n", "x_vals = np.linspace(X.min(), X.max(), 500)\n", "\n", "# Generate bootstrap predictions\n", "predicted_probs = 1 / (1 + np.exp(-(bootstrap_params[:, 0:1] + bootstrap_params[:, 1:2] * x_vals)))\n", "\n", "# --- Smoothing Step 1: Smooth individual bootstrap curves for tighter CI ---\n", "sigma_curve = 0.5\n", "smoothed_bootstrap_probs = np.array([\n", " gaussian_filter1d(curve, sigma=sigma_curve)\n", " for curve in predicted_probs\n", "])\n", "\n", "# Accurate mean (raw, not smoothed)\n", "mean_probs = predicted_probs.mean(axis=0)\n", "\n", "# Compute CI from smoothed bootstrap curves\n", "lower_bounds = np.percentile(smoothed_bootstrap_probs, 2.5, axis=0)\n", "upper_bounds = np.percentile(smoothed_bootstrap_probs, 97.5, axis=0)\n", "\n", "# --- Smoothing Step 2: Post-smoothing of CI bounds ---\n", "sigma_ci = 0.3\n", "smoothed_lower = gaussian_filter1d(lower_bounds, sigma=sigma_ci)\n", "smoothed_upper = gaussian_filter1d(upper_bounds, sigma=sigma_ci)\n", "\n", "# Plotting\n", "plt.figure(figsize=(10, 6))\n", "plt.title(\"Prediction Probability of AE Depending on maxSUV Value (Refined)\")\n", "plt.xlabel(r\"$x = \\max_{visit} SUV(visit, p)$\")\n", "plt.ylabel(r\"$P(\\mathrm{AE} \\mid X = x)$\")\n", "\n", "# Data points\n", "plt.scatter(X[flags == 0], flags[flags == 0], label=\"NC\", color='blue', alpha=0.6)\n", "plt.scatter(X[flags == 1], flags[flags == 1], label=\"AE\", color='red', alpha=0.6)\n", "\n", "# MLE logistic curve (orange, raw)\n", "plt.plot(x_vals, 1 / (1 + np.exp(-(params[0] + params[1] * x_vals))),\n", " color='orange', linestyle='--', linewidth=2, label=\"Mean Predicted (Raw)\")\n", "\n", "# Bootstrap mean prediction curve (green)\n", "plt.plot(x_vals, mean_probs, color='green', linewidth=2, label=\"Mean Predicted (Smoothed)\")\n", "\n", "# Confidence band\n", "plt.fill_between(x_vals, smoothed_lower, smoothed_upper,\n", " color='green', alpha=0.2, label=\"95% CI (Smoothed)\")\n", "\n", "# Vertical CI bars (for visibility)\n", "nth = 40\n", "segments = [\n", " [(x_vals[i], smoothed_lower[i]), (x_vals[i], smoothed_upper[i])]\n", " for i in range(0, len(x_vals), nth)\n", "]\n", "line_segments = LineCollection(segments, colors='gray', linewidths=0.7, alpha=0.7)\n", "plt.gca().add_collection(line_segments)\n", "\n", "plt.legend(loc='center right')\n", "plt.grid(True)\n", "plt.tight_layout()\n", "plt.show()\n", "\n", "# Optional: Inspect values at key points\n", "x_targets = [2.0, 2.5, 3.5]\n", "for x_target in x_targets:\n", " idx = np.argmin(np.abs(x_vals - x_target))\n", " print(f\"At x = {x_vals[idx]:.2f}:\")\n", " print(f\" Predicted mean: {mean_probs[idx]:.3f}\")\n", " print(f\" 95% CI: [{smoothed_lower[idx]:.3f}, {smoothed_upper[idx]:.3f}]\")\n" ] }, { "cell_type": "code", "execution_count": 23, "id": "dae2b4f8", "metadata": {}, "outputs": [ { "data": { "image/png": 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apO33/bi4uJT7FnZT76uOjo6QyWRGP7vH2GsHgLZWU+3DVDqGGyqXgoICrFu3Dk2aNMGePXsMfqZNm4a0tDT89NNPD60mmUwGpVKpd6FiTk4ONmzYYHT8yZMn8fvvv+tN27hxI+zs7NC2bVsAQJ8+fXD27Fk4OzsbPeJk7G6LBzF//nwkJydjypQp5f4fqJubG0aPHo2XXnoJZ86c0R7St7S0BGC6/xV+9dVXeo8PHTqEixcvav/XDRTdLXXixAm9cX/99ZfBKY6K1FZ8SqfkBcEJCQk4deoUevToUe5tKMvGjRuRk5ODt99+2+g+7eLioj0aGRAQAIVCgYiIiEqtq0ePHkhOTtae/iy2fv16yGQyoxfE1qpVC4GBgZgzZw7y8vJw8uRJgzGl7QvGGAtXQFHAyszM1Dty2LNnT2RmZmLnzp0G47/++mvI5XKDU29A0ampgoICfPDBB4iJicGLL74IGxsbvTFRUVH44Ycf0K1bN3z33Xd44okn4OnpiYSEBJw+fbpcdz4V8/Lywo0bN5CRkXHfsQ0bNsTVq1f1wkheXh527dpV7vXdq/g/JNu3b0deXp52+u3bt43eVQVAezFy8+bNK7VOKj+luQugmuGnn35Camoq3n//fb03t2ItWrTAihUrEBkZqfdJwFeuXMGvv/5qMN7e3r5cL3Bj8wJAly5d0Lt3byxZsgTDhg3DK6+8ghs3buDDDz/UvpGWVLduXfTr1w/z5s2Du7s7vvzyS8TFxeH999/X/gGeOnUqtm3bhmeffRZhYWFo2bIlCgsLkZKSgtjYWEybNg1PP/30fesu6datW9ptuXPnDs6cOYPNmzdj//79GDJkyH0/fO/pp59Gnz590LJlSzg6OuLUqVPYsGEDfH19tbU/9dRTAID3338fgYGBUCgUaNmypd71ABWRmJiIsWPH4oUXXsClS5cwZ84c1KtXD6GhodoxI0eOxIgRIxAaGopBgwbh4sWLWLx4scH/vJs0aQJra2t89dVX8Pb2hq2tLerWrWv0VFyzZs3wyiuvYPny5ZDL5QgMDMSFCxfw5ptvwsPDA2FhYZXanpIiIyPh6OiI1157zWiwHDVqFJYsWYLff/8drVq1wuzZs/H2228jJycHL730EhwcHJCcnIzr16/f9/cXFhaG9evXo3fv3liwYAE8PT3x448/YuXKlZgwYQKeeOIJAMDLL78Ma2trdOrUCe7u7khPT8eiRYvg4OCgvZ2+PPuCMa+88gpu3bqFQYMGoUWLFlAoFDh9+jQ+/vhjyOVyvP7669qxw4cPx8qVKzFkyBDMnDkT7du3R05ODmJiYvD5559j0qRJaNy4scE6fHx80LJlSyxduhRCCKOfbePp6Ymvv/4aAHDgwAEcOHAA7du3x0cffYRTp07By8tL+6GWXl5eOHDgQKlHOrp27QohBI4cOaI9RV2aoUOHYu7cuXjxxRcxffp03L17F8uWLXugo80LFixA79690atXL0yZMkUb7GxtbY0eUfr111+hUCjw7LPPVnqdVE5mupCZapgBAwYICwsLg7sq7vXiiy8KpVIp0tPThRBl3y3VqVOnMtdXfLdUaT979uwRQgixZs0a0axZM2FpaSkaN24sFi1aJCIjIwUAcf78ee3yiu9Y2rp1q3jyySeFhYWFaNiwoViyZInBum/fvi3eeOMN0axZM2FhYSEcHBzEU089JcLCwrTbVrzM8t4tVVy3TCYTtra2olmzZmLkyJFi165dRudBibtRZs6cKXx8fISjo6N2W8PCwsT169e1Y3Jzc8XYsWPFY489JmQymV4PAIiJEyeWa13Fd0vFxsaKkSNHitq1awtra2vx3HPPib///ltv3sLCQrF48WLRuHFjYWVlJXx8fMTu3bsN7pYSQohNmzYJLy8voVKp9NZp7G6VgoIC8f7774snnnhCqFQq4eLiIkaMGCEuXbqkN660u3pKuzOm2O+//y4AiKlTp5Y65vTp0wKAmDRpknba+vXrRfv27YWVlZWwtbUVbdq00bsjp6y7jC5evCiGDRsmnJ2dhUqlEs2aNRMffPCBKCgo0I5Zt26d6Natm3BzcxMWFhaibt26YsiQIeLEiRPaMeXZF4zZtWuXCA4OFs2bNxcODg5CqVQKd3d38fzzz4vDhw8bjM/MzBQzZswQTZs2FRYWFsLGxkb4+PiIVatWGdyddK9PPvlEABDNmzc3+vxnn30munXrJrp16yaef/55cfHiRYMxxXc73U9BQYFo2LChwZ11xu6WEkKImJgY0bp1a2FtbS0aN24sVqxYUerdUsZeL8Ze89HR0eKpp54SFhYWokGDBuK9994TkydPFo6Ojgbzd+7cWfTt2/e+20UPTiYEP02IiIhqpo8++ggLFy7E5cuXYW1tbe5yoFar0bp1a9SrV0/vu+POnj2Lpk2bYteuXfD39zdjhY8GhhsiIqqx7t69C29vb0ycOBGvvfbaQ19/SEgI/P39tacRV61ahb179yI2NhY9e/bUjhszZgz+/fdfvTvfqOrwmhsiIqqxrKyssGHDBiQlJZll/VlZWXjttddw7do1qFQqtG3bFjExMXrBJj8/H02aNMGsWbPMUuOjiEduiIiISFJ4KzgRERFJCsMNERERSQrDDREREUnKI3dBcWFhIVJTU2FnZ1clX7ZGREREpieEQFZWFurWrQu5vOxjM49cuElNTYWHh4e5yyAiIqJKuHTp0n2/xPaRCzfFX2F/6dIl2Nvbm7ka01Cr1YiNjUVAQIDBN/U+atgLHfaiCPugw17osBc6NaUXmZmZ8PDw0L6Pl+WRCzfFp6Ls7e0lFW5sbGxgb29frXfMh4G90GEvirAPOuyFDnuhU9N6UZ5LSnhBMREREUkKww0RERFJCsMNERERSQrDDREREUkKww0RERFJCsMNERERSQrDDREREUkKww0RERFJCsMNERERSQrDDdF9pKSkYPr06WhUvz5catdGp6efxvr165Gfn2/u0kzixIkTGDNmDJzt7WGtVMJKpYKrkxOmTJmCc+fOlXs5d+7cwbJly9C6RQs4OzjAq0kTLFy4EDdv3qzC6omoOhBC4Pvvv8f//P3xmKMj6rm64uWxY/Hnn3+apR6zhpt9+/ahb9++qFu3LmQyGbZv337fefbu3Yt27drBysoKjRs3xqpVq6q+UHpkJSQkoFWLFoj8+GP0uXwZ0zIyYJuYiKCgIAwaOBBqtdrcJT6QrVu3ol3btohdtw4vZ2VhdkEBmufn49p//+Hz5cvRqkULHDhw4L7L+e+///Csnx+mTZ2KZsnJeC0zE77nzmHh3Lnwad0aKSkpD2FriMgchBCYOmUK+vXrh1t79mDKrVsYce0aflq3Du3atMF333330Gsya7i5c+cOWrVqhRUrVpRr/Pnz5/Hcc8+hc+fOSEpKwuzZszF58mRs27atiiulR5Farcag/v3hlZ2NcwUFWA5gFoBdhYWIAfBTTAw++OADM1dZeZcvX8aIYcMwuKAAF4TAewDeBHAMwFIAOUKg4d27eL5/f+Tk5JS5rKlTpuD8yZNIFAJbhMAsAGsBnCoshEhLQ9CIEVW9OURkJlu3bsWy5cuxEsCvBQV4A8D7AM7l56NvQQFeGjoUV69efag1mTXcBAYG4p133sHzzz9frvGrVq1CgwYNsHTpUnh7e2Ps2LEIDg7Ghx9+WMWV0qPou+++w6W0NKwuKEDtEs8FAhhdWIiI5ctRUFBghuoe3Oeffw5lQQE+A1Dyq/KmAPAF4CAErt28ia+//rrU5Vy9ehWbNm3CGwUFaFXiOU8Ai/PzEb9/P/744w+T1k9E1cPypUvRTaHAhBLTLQCsFgJCrcaaNWseak016lvBDx8+jICAAL1pvXr1QmRkJNRqtdFvM83NzUVubq72cWZmJoCi/5XX9FMKxYq3Qyrb8yBM2YuEhAQ0t7eHl1oNY0sbAODLjAxcuHABDRo0eOD1mdr9enE0MRH/s7SENWB0+wYDWASgvVKJhIQEDBs2zOhyjh07BqVKhb4qldHlPAfABsCRI0fg5eVV8Q15QHx96LAXOuyFzoP0QgiB4ydOYKGFhdHXvx0AfwCJiYkP3OuKzC8TQogHWpuJyGQyREdHY8CAAaWOeeKJJzB69GjMnj1bO+3QoUPo1KkTUlNT4e7ubjDPvHnzMH/+fIPpGzduhI2NjUlqJyIioqqVnZ2NYcOGISMjA/b29mWOrVFHboCiEHSv4mxWcnqxWbNmITw8XPs4MzMTHh4eCAgIuG9zagq1Wo24uDj4+/sbPXr1KDFlL+Lj49G/f3/EAOhk5PlRMhlON26MI0ePlrr/mdP9erFy5Uq8OXs2koWAW4nnCgF0BFAHwF4U/Wegd+/eRtdz+/ZtNGvaFOOyszHXyPNrAYTJZPjjjz/g4eHxQNtUGXx96LAXOuyFzoP24sUhQ/Dvzz9jf0EBSv4l/BfAUzIZPvzoI4SEhDxQncVnXsqjRoWbOnXqID09XW/a1atXoVQq4ezsbHQeS0tLWFpaGkxXqVSS26GluE2VZYpe9OjRA080bozgM2cQk5+P4hMqBQCWA9gM4PMpU2BhYfGA1Vat0noRFBSEt+fNw9CMDEQLAVfN9LsAwgH8DuCGXA6Phg3Rp08fKJXG/1w4OjoiaMwYLF6yBG0KCzEQ0P6B2wdghkKBPgMHonHjxibftorg60OHvdBhL3Qq24tXJ09G9+3bMQNFFxIXv+OmA3hJoUCt2rUxfPjwB+5zReavUZ9z4+vri7i4OL1psbGx8PHx4c5JJieXy/Hdjz9CUb8+mgPwl8kQBKCJUokwANOmTXvg/4mYU+3atfHDTz/htL096stk6A9gOIC6AIo/YEHu7o4fdu4sNdgUW7hwIXr37YtBAFopFBgNwFehQBcALdq3x+ovvqjCLSEic+rWrRs+/fRTLJPJ4KFUYgSA/gAayGQ4a2+PH3fuhJ2d3UOtyaxHbm7fvo1//vlH+/j8+fM4fvw4nJyc0KBBA8yaNQuXL1/G+vXrAQDjx4/HihUrEB4ejpdffhmHDx9GZGQkNm3aZK5NIInz9PTE7ydPYtOmTdj69dc4m5GBnk8+iVfGjUOHDh3MXd4D69ixI8788w/Wrl2LrVu24N9Ll2CtUKB5w4YYGRSE4cOHw9bW9r7LsbCwwNZvv8XPP/+MNZGR+PvCBdRxd8fWkSPRv3//+4YjIqrZQkND0b17d6xatQpHjxyBhaUl3uvXD6NHj4aTk9NDr8esf3ESExPRrVs37ePia2OCgoIQFRWFtLQ0vQ//atSoEWJiYhAWFoZPP/0UdevWxbJlyzBo0KCHXjs9OmxsbBASElKjj9KUxcXFBdOnT8f06dMfaDlyuRwBAQEGdzQS0aPBy8sLS5cuNXcZAMwcbrp27YqybtaKiooymNalSxccO3asCqsiIiKimqxGXXNDREREdD8MN0RERCQpDDdEREQkKQw3REREJCkMN0RERCQpDDdEREQkKQw3REREJCkMN0RERCQpDDdEREQkKQw3REREJCkMN0RERCQpDDdEREQkKQw3REREJCkMN0RERCQpDDdEREQkKQw3REREJCkMN0RERCQpDDdEREQkKQw3REREJCkMN0RERCQpDDdEREQkKQw3REREJCkMN0RERCQpDDdEREQkKQw3REREJCkMN0RERCQpDDdEREQkKQw3REREJCkMN0RERCQpDDdEREQkKQw3REREJCkMN0RERCQpDDdEREQkKQw3REREJCkMN0RERCQpDDdEREQkKQw3REREJCkMN0RERCQpDDdEREQkKQw3REREJCkMN0RERCQpDDdEREQkKQw3REREJCkMN0RERCQpDDdEREQkKQw3REREJCkMN0RERCQpDDdEREQkKQw3REREJCkMN0RERCQpDDdEREQkKQw3REREJCkMN0RERCQpDDdEREQkKQw3REREJCkMN0RERCQpZg83K1euRKNGjWBlZYV27dph//79ZY7/6quv0KpVK9jY2MDd3R1jxozBjRs3HlK1REREVN2ZNdxs2bIFU6dOxZw5c5CUlITOnTsjMDAQKSkpRscfOHAAo0aNQkhICE6ePIlvvvkGCQkJGDt27EOunIiIiKors4abJUuWICQkBGPHjoW3tzeWLl0KDw8PREREGB3/66+/omHDhpg8eTIaNWqEZ555BuPGjUNiYuJDrpyIiIiqK6W5VpyXl4ejR49i5syZetMDAgJw6NAho/P4+flhzpw5iImJQWBgIK5evYqtW7eid+/epa4nNzcXubm52seZmZkAALVaDbVabYItMb/i7ZDK9jwI9kKHvSjCPuiwFzrshU5N6UVF6pMJIUQV1lKq1NRU1KtXDwcPHoSfn592+rvvvot169bhzJkzRufbunUrxowZg7t37yI/Px/9+vXD1q1boVKpjI6fN28e5s+fbzB948aNsLGxMc3GEBERUZXKzs7GsGHDkJGRAXt7+zLHmu3ITTGZTKb3WAhhMK1YcnIyJk+ejLlz56JXr15IS0vD9OnTMX78eERGRhqdZ9asWQgPD9c+zszMhIeHBwICAu7bnJpCrVYjLi4O/v7+pYa8RwV7ocNeFGEfdNgLHfZCp6b0ovjMS3mYLdy4uLhAoVAgPT1db/rVq1fh5uZmdJ5FixahU6dOmD59OgCgZcuWqFWrFjp37ox33nkH7u7uBvNYWlrC0tLSYLpKparWv8TKkOI2VRZ7ocNeFGEfdNgLHfZCp7r3oiK1me2CYgsLC7Rr1w5xcXF60+Pi4vROU90rOzsbcrl+yQqFAkDRER8iIiIis94tFR4eji+++AJr1qzBqVOnEBYWhpSUFIwfPx5A0SmlUaNGacf37dsX3377LSIiInDu3DkcPHgQkydPRocOHVC3bl1zbQYRERFVI2a95mbo0KG4ceMGFixYgLS0NLRo0QIxMTHw9PQEAKSlpel95s3o0aORlZWFFStWYNq0aahduza6d++O999/31ybQERERNWM2S8oDg0NRWhoqNHnoqKiDKZNmjQJkyZNquKqiIiIqKYy+9cvEBEREZkSww0RERFJCsMNERERSQrDDREREUkKww0RERFJCsMNERERSQrDDREREUkKww0RERFJCsMNERERSQrDDREREUkKww0RERFJCsMNERERSQrDDREREUkKww0RERFJCsMNERERSQrDDREREUkKww0RERFJCsMNERERSQrDDREREUkKww0RERFJCsMNERERSQrDDREREUkKww0RERFJCsMNERERSQrDDREREUkKww0RERFJCsMNERERSQrDDREREUkKww0RERFJCsMNERERSQrDDREREUkKww0RERFJCsMNERERSQrDDREREUkKww0RERFJCsMNERERSQrDDREREUkKww0RERFJCsMNERERSQrDDREREUkKww0RERFJCsMNERERSQrDDREREUkKww0RERFJCsMNERERSQrDDREREUkKww0RERFJCsMNERERSQrDDREREUkKww0RERFJCsMNERERSQrDDREREUkKww0RERFJCsMNERERSQrDDREREUkKww0RERFJitnDzcqVK9GoUSNYWVmhXbt22L9/f5njc3NzMWfOHHh6esLS0hJNmjTBmjVrHlK1REREVN0pzbnyLVu2YOrUqVi5ciU6deqEzz77DIGBgUhOTkaDBg2MzjNkyBBcuXIFkZGRePzxx3H16lXk5+c/5MqJiIioujJruFmyZAlCQkIwduxYAMDSpUuxa9cuREREYNGiRQbjd+7cib179+LcuXNwcnICADRs2PBhlkxERETVnNnCTV5eHo4ePYqZM2fqTQ8ICMChQ4eMzrNjxw74+Phg8eLF2LBhA2rVqoV+/frh7bffhrW1tdF5cnNzkZubq32cmZkJAFCr1VCr1SbaGvMq3g6pbM+DYC902Isi7IMOe6HDXujUlF5UpD6zhZvr16+joKAAbm5uetPd3NyQnp5udJ5z587hwIEDsLKyQnR0NK5fv47Q0FDcvHmz1OtuFi1ahPnz5xtMj42NhY2NzYNvSDUSFxdn7hKqDfZCh70owj7osBc67IVOde9FdnZ2ucea9bQUAMhkMr3HQgiDacUKCwshk8nw1VdfwcHBAUDRqa3Bgwfj008/NXr0ZtasWQgPD9c+zszMhIeHBwICAmBvb2/CLTEftVqNuLg4+Pv7Q6VSmbscs2IvdNiLIuyDDnuhw17o1JReFJ95KQ+zhRsXFxcoFAqDozRXr141OJpTzN3dHfXq1dMGGwDw9vaGEAL//vsvmjZtajCPpaUlLC0tDaarVKpq/UusDCluU2WxFzrsRRH2QYe90GEvdKp7LypSm9luBbewsEC7du0MDoPFxcXBz8/P6DydOnVCamoqbt++rZ32119/QS6Xo379+lVaLxEREdUMZv2cm/DwcHzxxRdYs2YNTp06hbCwMKSkpGD8+PEAik4pjRo1Sjt+2LBhcHZ2xpgxY5CcnIx9+/Zh+vTpCA4OLvWCYiIiInq0mPWam6FDh+LGjRtYsGAB0tLS0KJFC8TExMDT0xMAkJaWhpSUFO14W1tbxMXFYdKkSfDx8YGzszOGDBmCd955x1ybQERERNWM2S8oDg0NRWhoqNHnoqKiDKZ5eXlV+yu6iYiIyHzM/vULRERERKbEcENERESSwnBDREREklLha24GDhxo9EP2ZDIZrKys8Pjjj2PYsGFo1qyZSQokIiIiqogKH7lxcHDA7t27cezYMW3ISUpKwu7du5Gfn48tW7agVatWOHjwoMmLJSIiIrqfCh+5qVOnDoYNG4YVK1ZALi/KRoWFhZgyZQrs7OywefNmjB8/Hq+//joOHDhg8oKJiIiIylLhIzeRkZGYOnWqNtgAgFwux6RJk7B69WrIZDK8+uqr+PPPP01aKBEREVF5VDjc5Ofn4/Tp0wbTT58+jYKCAgCAlZVVqV9+SURERFSVKnxaauTIkQgJCcHs2bPRvn17yGQy/Pbbb3j33Xe1X5Wwd+9ePPnkkyYvloiIiOh+KhxuPv74Y7i5uWHx4sW4cuUKAMDNzQ1hYWF4/fXXAQABAQH43//+Z9pKiYiIiMqhwuFGoVBgzpw5mDNnDjIzMwEA9vb2emMaNGhgmuqIiIiIKuiBvluqZKghIiIiMrdKhZutW7fi66+/RkpKCvLy8vSeO3bsmEkKIyIiIqqMCt8ttWzZMowZMwaurq5ISkpChw4d4OzsjHPnziEwMLAqaiQiIiIqtwqHm5UrV2L16tVYsWIFLCwsMGPGDMTFxWHy5MnIyMioihqJiIiIyq3C4SYlJQV+fn4AAGtra2RlZQEoukV806ZNpq2OiIiIqIIqHG7q1KmDGzduAAA8PT3x66+/AgDOnz8PIYRpqyMiIiKqoAqHm+7du+P7778HAISEhCAsLAz+/v4YOnQoBg4caPICiYiIiCqiwndLrV69GoWFhQCA8ePHw8nJCQcOHEDfvn0xfvx4kxdIREREVBEVDjdyuVzvSzOHDBmCIUOGmLQoIiIiosoqV7g5ceJEuRfYsmXLShdDRERE9KDKFW5at24NmUx23wuGZTKZ9pvBiYiIiMyhXOHm/PnzVV0HERERkUmUK9x4enpWdR1EREREJlHuW8GfffZZ3Lp1S/t4x44dyMnJqYqaiIiIiCqt3OHmwIEDel+SOWLECKSlpVVJUURERESVVeEP8SvGTyMmIiKi6qjS4YaIiIioOqrQh/jt2rULDg4OAIDCwkL88ssv+PPPP/XG9OvXz3TVEREREVVQhcJNUFCQ3uNx48bpPebn3BAREZG5lTvcFH+fFBEREVF1xmtuiIiISFIYboiIiEhSGG6IiIhIUhhuiIiISFIYboiIiEhSyh1ufvvtN73bvEt+QnFubi6+/vpr01VGREREVAnlDje+vr64ceOG9rGDgwPOnTunfXzr1i289NJLpq2OiIiIqILKHW5KHqkx9t1S/L4pIiIiMjeTXnMjk8lMuTgiIiKiCuMFxURERCQpFfpuqeTkZKSnpwMoOgV1+vRp3L59GwBw/fp101dHREREVEEVCjc9evTQu66mT58+AIpORwkheFqKiIiIzK7c4eb8+fNVWQcRERGRSZQ73Hh6et53zPHjx8s1joiIiKiqPPAFxRkZGVi5ciXatm2Ldu3amaImIiIiokqrdLjZvXs3RowYAXd3dyxfvhzPPfccEhMTTVkbERERUYVV6ILif//9F1FRUVizZg3u3LmDIUOGQK1WY9u2bWjevHlV1UhERERUbuU+cvPcc8+hefPmSE5OxvLly5Gamorly5dXZW1EREREFVbuIzexsbGYPHkyJkyYgKZNm1ZlTURERESVVu4jN/v370dWVhZ8fHzw9NNPY8WKFbh27VpV1kZERERUYRX6VvDPP/8caWlpGDduHDZv3ox69eqhsLAQcXFxyMrKqso6iYiIiMqlwndL2djYIDg4GAcOHMAff/yBadOm4b333oOrqyv69etXFTUSERERldsDfc5Ns2bNsHjxYvz777/YtGmTqWoiIiIiqjSTfCu4QqHAgAEDsGPHDlMsjoiIiKjSTBJuiIiIiKoLs4eblStXolGjRrCyskK7du2wf//+cs138OBBKJVKtG7dumoLJCIiohrFrOFmy5YtmDp1KubMmYOkpCR07twZgYGBSElJKXO+jIwMjBo1Cj169HhIlRIREVFNYdZws2TJEoSEhGDs2LHw9vbG0qVL4eHhgYiIiDLnGzduHIYNGwZfX9+HVCkRERHVFGYLN3l5eTh69CgCAgL0pgcEBODQoUOlzrd27VqcPXsWb731VlWXSERERDVQhb4405SuX7+OgoICuLm56U13c3NDenq60Xn+/vtvzJw5E/v374dSWb7Sc3NzkZubq32cmZkJAFCr1VCr1ZWsvnop3g6pbM+DYC902Isi7IMOe6HDXujUlF5UpD6zhZtiMplM77EQwmAaABQUFGDYsGGYP38+nnjiiXIvf9GiRZg/f77B9NjYWNjY2FS84GosLi7O3CVUG+yFDntRhH3QYS902Aud6t6L7Ozsco+VCSFEFdZSqry8PNjY2OCbb77BwIEDtdOnTJmC48ePY+/evXrjb926BUdHRygUCu20wsJCCCGgUCgQGxuL7t27G6zH2JEbDw8PXL9+Hfb29lWwZQ+fWq1GXFwc/P39oVKpzF2OWbEXOuxFEfZBh73QYS90akovMjMz4eLigoyMjPu+f5vtyI2FhQXatWuHuLg4vXATFxeH/v37G4y3t7fHH3/8oTdt5cqV2L17N7Zu3YpGjRoZXY+lpSUsLS0NpqtUqmr9S6wMKW5TZbEXOuxFEfZBh73QYS90qnsvKlKbWU9LhYeHY+TIkfDx8YGvry9Wr16NlJQUjB8/HgAwa9YsXL58GevXr4dcLkeLFi305nd1dYWVlZXBdCIiInp0mTXcDB06FDdu3MCCBQuQlpaGFi1aICYmBp6engCAtLS0+37mDREREdG9zH5BcWhoKEJDQ40+FxUVVea88+bNw7x580xfFBEREdVYZv/6BSIiIiJTYrghIiIiSWG4ISIiIklhuCEiIiJJYbghIiIiSWG4ISIiIklhuCEiIiJJYbghIiIiSWG4ISIiIklhuCEiIiJJYbghIiIiSWG4ISIiIklhuCEiIiJJYbghIiIiSWG4ISIiIklhuCEiIiJJYbghIiIiSWG4ISIiIklhuCEiIiJJYbghIiIiSWG4ISIiIklhuCEiIiJJYbghIiIiSWG4ISIiIklhuCEiIiJJYbghIiIiSWG4ISIiIklhuCEiIiJJYbghIiIiSWG4ISIiIklhuCEiIiJJYbghIiIiSWG4ISIiIklhuCEiIiJJYbghIiIiSWG4ISIiIklhuCEiIiJJYbghIiIiSWG4ISIiIklhuCEiIiJJYbghIiIiSWG4ISIiIklhuCEiIiJJYbghIiIiSWG4ISIiIklhuCEiIiJJYbghIiIiSWG4ISIiIklhuCEiIiJJYbghIiIiSWG4ISIiIklhuCEiIiJJYbghIiIiSWG4ISIiIklhuCEiIiJJYbghIiIiSTF7uFm5ciUaNWoEKysrtGvXDvv37y917Lfffgt/f3889thjsLe3h6+vL3bt2vUQqyUiIqLqzqzhZsuWLZg6dSrmzJmDpKQkdO7cGYGBgUhJSTE6ft++ffD390dMTAyOHj2Kbt26oW/fvkhKSnrIlRMREVF1ZdZws2TJEoSEhGDs2LHw9vbG0qVL4eHhgYiICKPjly5dihkzZqB9+/Zo2rQp3n33XTRt2hTff//9Q66ciIiIqiuzhZu8vDwcPXoUAQEBetMDAgJw6NChci2jsLAQWVlZcHJyqooSiYiIqAZSmmvF169fR0FBAdzc3PSmu7m5IT09vVzL+Oijj3Dnzh0MGTKk1DG5ubnIzc3VPs7MzAQAqNVqqNXqSlRe/RRvh1S250GwFzrsRRH2QYe90GEvdGpKLypSn9nCTTGZTKb3WAhhMM2YTZs2Yd68efjuu+/g6upa6rhFixZh/vz5BtNjY2NhY2NT8YKrsbi4OHOXUG2wFzrsRRH2QYe90GEvdKp7L7Kzs8s91mzhxsXFBQqFwuAozdWrVw2O5pS0ZcsWhISE4JtvvkHPnj3LHDtr1iyEh4drH2dmZsLDwwMBAQGwt7ev/AZUI2q1GnFxcfD394dKpTJ3OWbFXuiwF0XYBx32Qoe90KkpvSg+81IeZgs3FhYWaNeuHeLi4jBw4EDt9Li4OPTv37/U+TZt2oTg4GBs2rQJvXv3vu96LC0tYWlpaTBdpVJV619iZUhxmyqLvdBhL4qwDzrshQ57oVPde1GR2sx6Wio8PBwjR46Ej48PfH19sXr1aqSkpGD8+PEAio66XL58GevXrwdQFGxGjRqFTz75BB07dtQe9bG2toaDg4PZtoOIiIiqD7OGm6FDh+LGjRtYsGAB0tLS0KJFC8TExMDT0xMAkJaWpveZN5999hny8/MxceJETJw4UTs9KCgIUVFRD7t8IiIiqobMfkFxaGgoQkNDjT5XMrDEx8dXfUFERERUo5n96xeIiIiITInhhoiIiCSF4YaIiIgkheGGiIiIJIXhhoiIiCSF4YaIiIgkheGGiIiIJIXhhoiIiCSF4YaIiIgkheGGiIiIJIXhhoiIiCSF4YaIiIgkheGGiIiIJIXhhoiIiCSF4YaIiIgkheGGiIiIJIXhhoiIiCSF4YaIiIgkheGGiIiIJIXhhoiIiCSF4YaIiIgkheGGiIiIJIXhhoiIiCSF4YaIiIgkheGGiIiIJIXhhoiIiCSF4YaIiIgkheGGiIiIJIXhhoiIiCSF4YaIiIgkheGGiIiIJIXhhoiIiCSF4YaIiIgkheGGiIiIJIXhhoiIiCSF4YaIiIgkheGGiIiIJIXhhoiIiCSF4YaIiIgkheGGiIiIJIXhhoiIiCSF4YaIiIgkheGGiIiIJIXhhoiIiCSF4YaIiIgkheGGiIiIJIXhhoiIiCSF4YaIiIgkheGGiIiIJIXhhoiIiCSF4YaIiIgkheGGiIiIJIXhhoiIiCSF4YaIiIgkheGGiIiIJIXhhoiIiCSF4cYE9uzZg/79B8LJyQ0uLu4YPnwEEhIS7jtfbGwsevfuCycnV7i4uCMoaDSSkpL0xgghEB0dje7d/eHo+Bjs7JxgZWUFmcwCMpkKMpkKTk7OAIB69RrCzs4RHh6NUKdOPdjbO8HLqwU+/PBDZGZmGqy/sLAQmzZtwjPPdIGDgzPs7GrD2toecrklZDILKBQqvfXIZHLIZCrI5RaQyRSan+LnLWBra3vPYyVkMhkUCmWJZSjxxBPN8M0330AIgRMnTiA4OASurvVga+sIFxc3WFnVglyuumceC8hkMs16i3/kmnUU16KEXK6As3MdAIC7uweUSivIZJba52UyJSwsaqF27cfw4osv4ciRIyb47Zft9OnTmDBhAtzc6sPR8TF07+6P6OhoCCGqfN2Pqp9//hl9+vTTvq5eeWWcuUsioodNmNmnn34qGjZsKCwtLUXbtm3Fvn37yhwfHx8v2rZtKywtLUWjRo1EREREhdaXkZEhAIiMjIwHKVtr4cKFAoBQKp8SwFsCmCOUyiZCJpOLyMjIUud74403BAChULQWwHwBzBJKZUMhlyvEV199JYQQorCwULz88iuacX4C6CkAmQDqCWCmZr5WwtraWmzfvl1YW08UwLsC8BcABOAlgKFCLrcQTZt6i/T0dO368/PzxeDBQwQAIZM9IwBXASgF8KIApgnAVgBWAggRwCIB9BeAXAAOmmXbaMYP0qxztAAsNdPDBNBaM85KAFMFsFAAz2imyQUgFz169BRKpUoolR4CeF0ACwTQUgAKzXb21iy7eFktNds8UwD1NeP8BWCnqcVBWFs30fTiBU3dIZrnIIBmmt/RG0IubyJkMpn47LPPTLIfGBMTEyMsLKyEUukugNcE8I7m9wjxyivjRGFhYZWtWwgh8vLyxPbt20VeXl6Vrqc6mTt3rub10koA8wQwW9jZeYnt27eL9evXm7s8s3sU94nSsBc6NaUXFXn/Nmu42bx5s1CpVOLzzz8XycnJYsqUKaJWrVri4sWLRsefO3dO2NjYiClTpojk5GTx+eefC5VKJbZu3VrudZoy3Ozdu1fzpjlPAIUCEJqffAGME3K5XJw+fdpgvp07d2rme7/EfGoBBAmlUiXOnz8v1q1bpxm3RgDnNKFguGZc8TyFwtr6I80b+ph7pu8SgIWmttNCoagj+vbtr61h6dKlQiaTC2CbJqA4CyBZU097ATwhgMv3LE9o6oAAnhJAbQEcK/H8RQF4CKC55vEnmvHb7xmzSRNcbDT/DhVA3j3Pd9eEpH2axz9qlvGhkV6N0GzjcU3wsRfW1q6aXhQv86Bm/tkl5i8QwEQhk8nFn3/++cD7Qkk3b94UNja2QibrK4Aco32s6jfbmvIHy1Ti4uI0v+t39X7X1tY5Yvv27cLW1k6cPXvW3GWa1aO2T5SFvdCpKb2oMeGmQ4cOYvz48XrTvLy8xMyZM42OnzFjhvDy8tKbNm7cONGxY8dyr9OU4WbQoMFCqWxe4k2z+OeuUCpdxJQpUwzm+9//nhMKRbtS5rstFAoHMWvWLNG6tY+QywM10wdpAkGWwTzW1nmaN3SnEsEnVABumvDwuZDJZOLChQuisLBQNGz4uCYopWhC0yrNPIc1bxAxRmobrgkvFgJYbOR5oQlL0AQOIQA/AfQoMWaQANw14eYvvW0HVKLoKE7xtF4C6FDKujJF0VGbNwQQKwC5sLZ+t0S4eUkATTVhpuT8uUKprCNCQ0MfeF8oacmSJUImUwkg3Wjtcvn/RJs27U2+3nvVlD9YptK7d1+hVLY2eF0Vvz5sbeuIGTNmmLtMs3rU9omysBc6NaUXFXn/Vj6Uc19G5OXl4ejRo5g5c6be9ICAABw6dMjoPIcPH0ZAQIDetF69eiEyMhJqtRoqlcpgntzcXOTm5mofF197olaroVarH2gbEhOPQ6V6ESpVvpFn5QD648iRowbrOXbsOCwsJgIwNp8FgN44ciQRZ86chKXlMgBqAH8C6AvAUvNYx9parflXAeA8gIaaZwYCWAvgrGZeKxw5cgQWFha4cuUyrK0HAEjULLOPZrlHADgC6G6wHiAJQCcA3wHoZ+R5AAgEUAvArwCaAxgE4N0SYwcCiAFgBeDve+o9AkBZYtnHAYSVsi4rAL0129ADgCWsrZ8DcEHbk6KaBwEo0PzcSwZggNHf0YNKTEyEjU03FBY6lVL78zh9egpycnKgVFbNy7B4m0y9bdXVsWPHoVK9bPB6LN4XLCwCq+R3XZM8avtEWdgLnZrSi4rUJxPCPFc2pqamol69ejh48CD8/Py00999912sW7cOZ86cMZjniSeewOjRozF79mzttEOHDqFTp05ITU2Fu7u7wTzz5s3D/PnzDaZv3LgRNjY2JtoaIiIiqkrZ2dkYNmwYMjIyYG9vX+ZYsx25KSaTyfQeCyEMpt1vvLHpxWbNmoXw8HDt48zMTHh4eCAgIOC+zbmfSZMmY+PGn5Gf/zuAkkeNMiGXe2HGjEmYNWuW3jMhIWOxfXsi8vOPAlCUmO8G5HJvvPXWbPzyyx4cPHgbBQU/AwgHsB7AKQCuenNYW+dizZpfEBw8GTk5f6PoiAQABKPoyMVRAMuhVL6Dv/46DWdnZzzzTBecPOmCwsIvAHgBmAFgGoC/ALQHsBrA0BK1vQZgK4qOOI0FMM9IV9YDmIyiIy4NAHTULH/9PWP6ougIUyqKjtY01UxXA6ivWe8yzbQxAH4HkGCkV1dRdHToLQCNAIyCtfVErFnji+Bgf+TkqDR9+x7ASRQdFbvXbSgUzTB16jjMnTvXyLZU3pdffomJEyeiqP+NSzwroFD0wDPP2GPHju0mXe+91Go14uLi4O/vb/SoptS88so4bNt2CPn5Sbj3T5u1tRpr1sRh7NgJmDZtMqZNm2a+Is3sUdsnysJe6NSUXhi767dUVXuGrHS5ublCoVCIb7/9Vm/65MmTxbPPPmt0ns6dO4vJkyfrTfv222+FUqks97lCU15zc+LECaFQKEXRha237znPf1PIZL2EtbWtuHz5ssF8v/32m+Zi3hABZN8z3zUhl3cTdna1xbVr18RPP/2kuX5lhgBSNde6dBLA1XvmyRbW1hM015nMEboLmpdr5l0pgJ1CLrcRY8e+rK1h48aNmuffFcA4UXRX04+a6xV6C8BFAL/es55CUXRRr1wUXWysEsA3Ja5v2C8AewF0EUUX0YZqrqs5oHk+TxRd4AxRfEeUXO5b4rqUoZp5IjXXyfyqWefLJXp1VQDPCsBRFF187C6AOsLa2k7Ti1zNuGRNrUOE/vVK/wmZrLewsrIRKSkpD7wvlJSdnS1cXesKhaKNAC7pXedT9PuE2Llzp8nXe6+ach7dVI4ePSrkcoUAxgjgzj3X3KSL7du3CxcXV3HlyhVzl2lWj9o+URb2Qqem9KJGXVA8YcIEvWne3t5lXlDs7e2tN238+PFmu6BYiKI7vpRKlVAoHETRbdSDhFxuLWxsbMXPP/9c6nxRUVFCLlcIhcJRFF30OlDI5ZbC1tZB73b4jz76SAAQSqWb5s1coXmz7i+AYaLo9mcbzRu6vwBGiaKLfiEAbyGXtxEARM+eAeLOnTt6Nbz55psCgFAo6gmgrmaepzQBw07zuKMAgkTRRbnQhB650N1e7a15voPmsa0ABouiu6mgCSq9BDBSFF3cDO30qVOnCgcHJyGXWwign3Z7dGMaa7anqWY5Dpox/TU9sBJAK81YlQAgrK0baXrxlKaupzXPy0XRBdlDBTBYyOU2wtq6VpUGjOPHjwtnZzchkylFUWAcIRQKVwFALFmypMrWW6ym/MEypQ0bNgiFQikUitra11WtWo5i+/btYs+ePeYuz+wexX2iNOyFTk3pRY24oBgAwsPDMXLkSPj4+MDX1xerV69GSkoKxo8fD6DolNLly5exfn3RKY3x48djxYoVCA8Px8svv4zDhw8jMjISmzZtMts2DB06FE8//TQ+++wz7N9/CHK5HAEBszF27FjUqVOn1PmCgoLwzDPP4LPPPsOBA79CpVIiMHAegoOD4eqqO+0UHh6OXr16YdWqVUhMPI7Cwva4fPkSrlzZiYICAZUKqFu3IQCgefNbkMmy4ODQDPn5TZCTk4f69d0xZswCBAYGQqHQP62zYMECDBgwAKtWfYYTJ04iJ8cVWVmZuHnzFxQWyqFQ1EZe3knk5/+BwsI8FBaqIJdnoVYtBxQW5uPOnbsoLDwD4B9YW6vQqFFzpKZeQWbm9xBCDaXSCvb2tXDnzn7k5uZDJiuEjY0devbsgYULF6J58+Z44403sHbtWvzww0+4desyFIomuHtXjfT0dNy6dQGFhZcAFECpVMDGRiAnJxr5+WoUXRwsg1yeDKDoQ/6srR3g4lK0jY0bC9y6FY+bN68jL08FIQSsrWVwcjqCunXrIjBwBl555RWj12mZSqtWrfDPP6exfv16fPfd98jOvgAfnyEYP348nnzyySpb76NsxIgR8PPz07weD2teVzMAAJ06dTJzdUT00FR91irbp59+Kjw9PYWFhYVo27at2Lt3r/a5oKAg0aVLF73x8fHxok2bNsLCwkI0bNjQ7B/iVx3UlNT9MLAXOuxFEfZBh73QYS90akovasyRGwAIDQ1FaGio0eeioqIMpnXp0gXHjh2r4qqIiIiopuJ3SxEREZGkMNwQERGRpDDcEBERkaQw3BAREZGkMNwQERGRpDDcEBERkaQw3BAREZGkMNwQERGRpDDcEBERkaSY/ROKHzYhBIAKfnV6NadWq5GdnY3MzMxq/XX1DwN7ocNeFGEfdNgLHfZCp6b0ovh9u/h9vCyPXLjJysoCAHh4eJi5EiIiIqqorKwsODg4lDlGJsoTgSSksLAQqampsLOzg0wmM3c5JpGZmQkPDw9cunQJ9vb25i7HrNgLHfaiCPugw17osBc6NaUXQghkZWWhbt26kMvLvqrmkTtyI5fLUb9+fXOXUSXs7e2r9Y75MLEXOuxFEfZBh73QYS90akIv7nfEphgvKCYiIiJJYbghIiIiSWG4kQBLS0u89dZbsLS0NHcpZsde6LAXRdgHHfZCh73QkWIvHrkLiomIiEjaeOSGiIiIJIXhhoiIiCSF4YaIiIgkheGGiIiIJIXhpgbYt28f+vbti7p160Imk2H79u33nWfv3r1o164drKys0LhxY6xatarqC61iFe1DfHw8ZDKZwc/p06cfTsFVaNGiRWjfvj3s7Ozg6uqKAQMG4MyZM/edT2r7RWX6INX9IiIiAi1bttR+EJuvry9++umnMueR2v5QrKK9kOo+UdKiRYsgk8kwderUMsdJYb9guKkB7ty5g1atWmHFihXlGn/+/Hk899xz6Ny5M5KSkjB79mxMnjwZ27Ztq+JKq1ZF+1DszJkzSEtL0/40bdq0iip8ePbu3YuJEyfi119/RVxcHPLz8xEQEIA7d+6UOo8U94vK9KGY1PaL+vXr47333kNiYiISExPRvXt39O/fHydPnjQ6Xor7Q7GK9qKY1PaJeyUkJGD16tVo2bJlmeMks18IqlEAiOjo6DLHzJgxQ3h5eelNGzdunOjYsWMVVvZwlacPe/bsEQDEf//991BqMqerV68KAGLv3r2ljnkU9ovy9OFR2i8cHR3FF198YfS5R2F/uFdZvZD6PpGVlSWaNm0q4uLiRJcuXcSUKVNKHSuV/YJHbiTo8OHDCAgI0JvWq1cvJCYmQq1Wm6kq82nTpg3c3d3Ro0cP7Nmzx9zlVImMjAwAgJOTU6ljHoX9ojx9KCbl/aKgoACbN2/GnTt34Ovra3TMo7A/AOXrRTGp7hMTJ05E79690bNnz/uOlcp+8ch9ceajID09HW5ubnrT3NzckJ+fj+vXr8Pd3d1MlT1c7u7uWL16Ndq1a4fc3Fxs2LABPXr0QHx8PJ599llzl2cyQgiEh4fjmWeeQYsWLUodJ/X9orx9kPJ+8ccff8DX1xd3796Fra0toqOj0bx5c6Njpb4/VKQXUt4nNm/ejGPHjiEhIaFc46WyXzDcSJRMJtN7LDQfRF1yupQ1a9YMzZo10z729fXFpUuX8OGHH9b4P1j3evXVV3HixAkcOHDgvmOlvF+Utw9S3i+aNWuG48eP49atW9i2bRuCgoKwd+/eUt/Upbw/VKQXUt0nLl26hClTpiA2NhZWVlblnk8K+wVPS0lQnTp1kJ6erjft6tWrUCqVcHZ2NlNV1UPHjh3x999/m7sMk5k0aRJ27NiBPXv2oH79+mWOlfJ+UZE+GCOV/cLCwgKPP/44fHx8sGjRIrRq1QqffPKJ0bFS3h+AivXCGCnsE0ePHsXVq1fRrl07KJVKKJVK7N27F8uWLYNSqURBQYHBPFLZL3jkRoJ8fX3x/fff602LjY2Fj48PVCqVmaqqHpKSkmrMYdWyCCEwadIkREdHIz4+Ho0aNbrvPFLcLyrTB2Oksl+UJIRAbm6u0eekuD+UpaxeGCOFfaJHjx74448/9KaNGTMGXl5eeP3116FQKAzmkcx+Ya4rman8srKyRFJSkkhKShIAxJIlS0RSUpK4ePGiEEKImTNnipEjR2rHnzt3TtjY2IiwsDCRnJwsIiMjhUqlElu3bjXXJphERfvw8ccfi+joaPHXX3+JP//8U8ycOVMAENu2bTPXJpjMhAkThIODg4iPjxdpaWnan+zsbO2YR2G/qEwfpLpfzJo1S+zbt0+cP39enDhxQsyePVvI5XIRGxsrhHg09odiFe2FVPcJY0reLSXV/YLhpgYovk2x5E9QUJAQQoigoCDRpUsXvXni4+NFmzZthIWFhWjYsKGIiIh4+IWbWEX78P7774smTZoIKysr4ejoKJ555hnx448/mqd4EzPWBwBi7dq12jGPwn5RmT5Idb8IDg4Wnp6ewsLCQjz22GOiR48e2jdzIR6N/aFYRXsh1X3CmJLhRqr7hUwIzZVCRERERBLAC4qJiIhIUhhuiIiISFIYboiIiEhSGG6IiIhIUhhuiIiISFIYboiIiEhSGG6IiIhIUhhuiIiISFIYboioWrh69SrGjRuHBg0awNLSEnXq1EGvXr1w+PBhAEXfSLx9+3aD+aZOnYquXbsCAPr27YuePXsaXf7hw4chk8lw7NixqtoEIqom+MWZRFQtDBo0CGq1GuvWrUPjxo1x5coV/PLLL7h582a5lxESEoLnn38eFy9ehKenp95za9asQevWrdG2bVtTl05E1QzDDRGZ3a1bt3DgwAHEx8ejS5cuAABPT0906NChQsvp06cPXF1dERUVhbfeeks7PTs7G1u2bMG7775r0rqJqHriaSkiMjtbW1vY2tpi+/btyM3NrfRylEolRo0ahaioKNz7tXnffPMN8vLyMHz4cFOUS0TVHMMNEZmdUqlEVFQU1q1bh9q1a6NTp06YPXs2Tpw4UeFlBQcH48KFC4iPj9dOW7NmDZ5//nk4OjqasGoiqq4YboioWhg0aBBSU1OxY8cO9OrVC/Hx8Wjbti2ioqIqtBwvLy/4+flhzZo1AICzZ89i//79CA4O1o557733MHLkSEyaNAnh4eEoLCzUPrdlyxbUqlVLLxwRUc3CcENE1YaVlRX8/f0xd+5cHDp0CKNHj9ZeO2NnZ4eMjAyDeW7dugUHBwe9aSEhIdi2bRsyMzOxdu1aeHp6okePHtrn169fj7Vr12L58uXIycnR3oV1+PBhHD16FO3bt6+6jSSiKsdwQ0TVVvPmzXHnzh0ARUdkEhIS9J4XQuDo0aNo1qyZ3vQhQ4ZAoVBg48aNWLduHcaMGQOZTKZ9fsmSJQgLC8P06dNx8+ZNnD17FufOncOqVauwaNGiqt8wIqpSMnHvVXdERGZw48YNvPDCCwgODkbLli1hZ2eHxMRETJo0Cb1790ZkZCS+/vprBAUF4YMPPkBAQABycnKwevVqrF27FqdOnTK49Xvs2LH49ttvkZGRgfPnz6NBgwZG1z148GBMmDABR48exYEDB2BjY4Pdu3ejRYsWWL9+PerXr/8wWkBEJsRwQ0Rml5ubi3nz5iE2NhZnz56FWq2Gh4cHXnjhBcyePRvW1tYAiq6H+fDDD/HXX3/BysoKbdq0wcKFC9GuXTuDZR4+fBh+fn4ICAjArl279J6LiIjAsWPHcPv2bfj4+GDatGl6z3ft2hXz5s3TfjggEdUsDDdEREQkKbzmhoiIiCSF4YaIiIgkheGGiIiIJIXhhoiIiCSF4YaIiIgkheGGiIiIJIXhhoiIiCSF4YaIiIgkheGGiIiIJIXhhoiIiCSF4YaIiIgkheGGiIiIJOX/QAEXyxRQ7q0AAAAASUVORK5CYII=", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "At x = 2.00:\n", " Predicted mean: 0.433\n", " 95% CI: [0.151, 0.750]\n", "At x = 2.50:\n", " Predicted mean: 0.859\n", " 95% CI: [0.475, 0.994]\n", "At x = 3.50:\n", " Predicted mean: 0.984\n", " 95% CI: [0.930, 1.000]\n" ] } ], "source": [ "import numpy as np\n", "from scipy import io\n", "from scipy.stats import norm\n", "from sklearn.linear_model import LogisticRegression\n", "import matplotlib.pyplot as plt\n", "from scipy.ndimage import gaussian_filter1d\n", "from matplotlib.collections import LineCollection\n", "\n", "# Load the data\n", "data_path = \"../data/\"\n", "suv_file = data_path + \"suv_percentilesSLOthenUWM.mat\"\n", "flags_file = data_path + \"flags_combined.mat\"\n", "\n", "suv_dict = io.loadmat(suv_file)\n", "flags_dict = io.loadmat(flags_file)\n", "\n", "# Extract and preprocess data\n", "suv = suv_dict['lung_SUVperc_COMBINED'][0:58, :, :]\n", "flags = flags_dict['flags'][0:58, 3]\n", "p = 94 # Target percentile\n", "X = np.nanmax(suv[:, :, p], axis=1).reshape(-1, 1)\n", "\n", "plt.scatter(X, flags, c=flags, cmap='bwr', edgecolors='k')\n", "plt.title(\"AE Label Distribution Across SUV₉₄ (lung)\")\n", "plt.xlabel(\"SUV₉₄\")\n", "plt.ylabel(\"AE Flag\")\n", "plt.grid(True)\n", "plt.show()\n", "\n", "# Remove NaN values\n", "valid_indices = ~np.isnan(X).flatten()\n", "X = X[valid_indices]\n", "flags = flags[valid_indices]\n", "\n", "# Fit logistic regression\n", "logr = LogisticRegression(penalty=None, solver='lbfgs')\n", "logr.fit(X, flags)\n", "\n", "# Model parameters and covariance\n", "X_design = np.hstack([np.ones((X.shape[0], 1)), X])\n", "pred_probs = logr.predict_proba(X)[:, 1]\n", "V = np.diagflat(pred_probs * (1 - pred_probs))\n", "cov_matrix = np.linalg.inv(X_design.T @ V @ X_design)\n", "params = np.insert(logr.coef_[0], 0, logr.intercept_[0])\n", "\n", "# Bootstrap configuration (increased number of bootstraps)\n", "n_bootstraps = 200000\n", "bootstrap_params = np.random.multivariate_normal(params, cov_matrix, size=n_bootstraps)\n", "x_vals = np.linspace(X.min(), X.max(), 500)\n", "\n", "# Generate bootstrap predictions\n", "predicted_probs = 1 / (1 + np.exp(-(bootstrap_params[:, 0:1] + bootstrap_params[:, 1:2] * x_vals)))\n", "\n", "# --- Smoothing Step 1: Smooth individual bootstrap curves for tighter CI ---\n", "sigma_curve = 0.5 # Reduced smoothing for tighter CI\n", "smoothed_bootstrap_probs = np.array([\n", " gaussian_filter1d(curve, sigma=sigma_curve)\n", " for curve in predicted_probs\n", "])\n", "\n", "# --- Remove outlier bootstrap curves ---\n", "def is_reasonable(curve):\n", " return (0.05 < curve.mean() < 0.95) and (curve.max() - curve.min() > 0.2)\n", "\n", "# Filter out outlier bootstrap curves\n", "filtered_bootstrap_probs = np.array([curve for curve in smoothed_bootstrap_probs if is_reasonable(curve)])\n", "\n", "# Accurate mean (raw, not smoothed)\n", "mean_probs = filtered_bootstrap_probs.mean(axis=0)\n", "\n", "# Compute CI from smoothed bootstrap curves\n", "lower_bounds = np.percentile(filtered_bootstrap_probs, 5, axis=0) # 5th percentile for a tighter CI\n", "upper_bounds = np.percentile(filtered_bootstrap_probs, 95, axis=0) # 95th percentile for a tighter CI\n", "\n", "# --- Smoothing Step 2: Post-smoothing of CI bounds ---\n", "sigma_ci = 0.2 # Reduced smoothing on CI bounds\n", "smoothed_lower = gaussian_filter1d(lower_bounds, sigma=sigma_ci)\n", "smoothed_upper = gaussian_filter1d(upper_bounds, sigma=sigma_ci)\n", "\n", "# Plotting\n", "plt.figure(figsize=(10, 6))\n", "plt.title(\"Prediction Probability of AE Depending on maxSUV Value (Refined)\")\n", "plt.xlabel(r\"$x = \\max_{visit} SUV(visit, p)$\")\n", "plt.ylabel(r\"$P(\\mathrm{AE} \\mid X = x)$\")\n", "\n", "# Data points\n", "plt.scatter(X[flags == 0], flags[flags == 0], label=\"NC\", color='blue', alpha=0.6)\n", "plt.scatter(X[flags == 1], flags[flags == 1], label=\"AE\", color='red', alpha=0.6)\n", "\n", "# MLE logistic curve (orange, raw)\n", "plt.plot(x_vals, 1 / (1 + np.exp(-(params[0] + params[1] * x_vals))),\n", " color='orange', linestyle='--', linewidth=2, label=\"Mean Predicted (Raw)\")\n", "\n", "# Bootstrap mean prediction curve (green)\n", "plt.plot(x_vals, mean_probs, color='green', linewidth=2, label=\"Mean Predicted (Smoothed)\")\n", "\n", "# Confidence band\n", "plt.fill_between(x_vals, smoothed_lower, smoothed_upper,\n", " color='green', alpha=0.2, label=\"95% CI (Smoothed)\")\n", "\n", "# Vertical CI bars (for visibility)\n", "nth = 40\n", "segments = [\n", " [(x_vals[i], smoothed_lower[i]), (x_vals[i], smoothed_upper[i])]\n", " for i in range(0, len(x_vals), nth)\n", "]\n", "line_segments = LineCollection(segments, colors='gray', linewidths=0.7, alpha=0.7)\n", "plt.gca().add_collection(line_segments)\n", "\n", "plt.legend(loc='center right')\n", "plt.grid(True)\n", "plt.tight_layout()\n", "plt.show()\n", "\n", "# Optional: Inspect values at key points\n", "x_targets = [2.0, 2.5, 3.5]\n", "for x_target in x_targets:\n", " idx = np.argmin(np.abs(x_vals - x_target))\n", " print(f\"At x = {x_vals[idx]:.2f}:\")\n", " print(f\" Predicted mean: {mean_probs[idx]:.3f}\")\n", " print(f\" 95% CI: [{smoothed_lower[idx]:.3f}, {smoothed_upper[idx]:.3f}]\")\n" ] }, { "cell_type": "markdown", "id": "60309a7d", "metadata": {}, "source": [] }, { "cell_type": "code", "execution_count": 45, "id": "5cec02c1", "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "from sklearn.linear_model import LogisticRegression\n", "\n", "# Define logistic function\n", "f = lambda x, p: 1 / (1 + np.exp(-p[0] - p[1] * x))\n", "\n", "def plot_logit_with_uncertainty(suv_dict, flags_dict, pert=94, alpha=0.05, Nsamples=1000):\n", " organ = \"lung\"\n", " idx = 3 # Index for lung flags\n", " title = \"Lung\"\n", " \n", " # Extract data\n", " suv = suv_dict[f\"{organ}_SUVperc_COMBINED\"][0:58, :, :]\n", " Y = flags_dict['flags'][0:58, idx]\n", " X = np.nanmax(suv[:, :, pert - 1], axis=1).reshape(-1, 1)\n", "\n", " # Logistic regression with L2 regularization (MLE)\n", " clf = LogisticRegression(solver='lbfgs', penalty='l2', C=1.0, max_iter=1000)\n", " clf.fit(X, Y)\n", " logit_params = np.insert(clf.coef_, 0, clf.intercept_)\n", "\n", " # Print fitted logit parameters\n", " print(\"Fitted logit parameters:\", logit_params)\n", "\n", " # Stratified nonparametric bootstrapping\n", " rng = np.random.default_rng()\n", " Xs = [X[Y == i] for i in range(2)]\n", " Ns = [len(Xs[i]) for i in range(2)]\n", " ps = []\n", "\n", " for _ in range(Nsamples):\n", " Xb = [rng.choice(Xs[i], Ns[i]) for i in range(2)]\n", " Yb = [np.full(Ns[i], i) for i in range(2)]\n", " Xb = np.concatenate(Xb)\n", " Yb = np.concatenate(Yb)\n", "\n", " boot_clf = LogisticRegression(solver='lbfgs', penalty='l2', C=1.0, max_iter=1000)\n", " boot_clf.fit(Xb.reshape(-1, 1), Yb)\n", " pfit = np.insert(boot_clf.coef_, 0, boot_clf.intercept_)\n", " ps.append(pfit)\n", "\n", " ps = np.array(ps)\n", "\n", " # Calculate Confidence Intervals for parameters\n", " param_lower = np.percentile(ps, 100 * alpha / 2, axis=0)\n", " param_upper = np.percentile(ps, 100 * (1 - alpha / 2), axis=0)\n", " print(f\"Parameter confidence intervals (2.5% - 97.5%):\")\n", " print(f\"Intercept: {param_lower[0]} to {param_upper[0]}\")\n", " print(f\"Slope: {param_lower[1]} to {param_upper[1]}\")\n", "\n", " # Generate predicted probabilities with CI\n", " xmax = max(X.max(), (-np.log(1e-3) - logit_params[0]) / logit_params[1])\n", " xs = np.linspace(0, xmax, 200)\n", "\n", " # Generate predictions for each bootstrap sample\n", " ys = np.array([[f(x, p) for p in ps] for x in xs])\n", " \n", " # Calculate prediction intervals (95% CI)\n", " y_lower = np.quantile(ys, alpha / 2, axis=1)\n", " y_upper = np.quantile(ys, 1 - alpha / 2, axis=1)\n", " y_fit = f(xs, logit_params)\n", "\n", " # Plotting\n", " plt.figure(figsize=(7, 5))\n", " plt.scatter(X[Y == 0], Y[Y == 0], label=\"NC\", alpha=0.7)\n", " plt.scatter(X[Y == 1], Y[Y == 1], label=\"AE\", alpha=0.7)\n", " plt.plot(xs, y_fit, 'r-', label=\"Optimal Fit\", zorder=3)\n", " plt.fill_between(xs, y_lower, y_upper, color='xkcd:beige', alpha=0.5, label=\"Prediction Interval\")\n", "\n", " plt.xlabel(f\"Max SUV at {pert}th percentile\")\n", " plt.ylabel(\"P(AE | X)\")\n", " plt.title(f\"Logit Fit with L2 Regularization ({organ})\")\n", " plt.legend()\n", " plt.grid(True)\n", " plt.tight_layout()\n", " plt.show()\n", "\n", "# Example usage:\n", "# plot_logit_with_uncertainty(suv_dict, flags_dict, pert=95, alpha=0.05, Nsamples=1000)\n" ] }, { "cell_type": "code", "execution_count": 46, "id": "7063d6f6", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Fitted logit parameters: [-5.33495652 1.90942694]\n" ] }, { "data": { "image/png": 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", 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