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63281mc1xc3NSpUwsKCo4ePYowwiD3/Y87BT4sH2HgddMfeughkVh0/uCVyrbLaoMCgQIAAAAYKtDW1wOpqam/5co0mvPzhAkTnFOWLVvWMVtYWFhYWBhBEMnJyQRBREZGOqePGzcOMYRBTqfVn72YO36pl8NGEf/7VwaXy01NvT8zM3PhhHFX5OcSwxciXAAAAABDAtr6AOB3ZaXlsrYaf68gFt3txl/nzZ+nkreJaUFlLRcJgiBJEhEDAAAAQNYHAENJY2OjkdKK+d4MGuvGXwMCAiKiIiT8sJb2RpPVQJK4gAAAAAAg6wOAIWX33u89gjjBnjFd/urj4xM7ZrSy0iQW+lxuzKXR0NYHAAAAgKwPAIaOVlVbqbQ4dESANy/wZvNMj59WfLk0TDSqrPki5aDwkCcAAAAAsj4AGDIaGhqUbc1CD76Q7XmzeUaOHHmt6ZoHM0Cpb9KZtSSuIQAAAADI+gBgqPgl7wKDT0VHR7uzvG42j5ubW37BZYuCQdCp+rZyBg39AAMAAAAg6wOAISLjx4zxiSN8RP58tuhm84SEhAQGBeQcODkmYFpe7WGKoBA3AAAAAGR9ADAEaLXaxsZGd1+e0E186znjxsVdLbnqyw1V6K4ZLDqEDgAAAABZHwAMARXlFXq9Lmy0v4jle+s577333oLCfI7Fy0FYm9vrEToAAACAQQ7v5AAAQRCEw+GIHBXGE7ndogNPp/Hjx9MZtJKL0qgRY612M0LXn+x2+0svvfTwww+PHz/+vffeGzNmjFgsbm5uNplMixYtotHwRx4AAAB0AbcIAEAQBNEsbwkK9WewaXyW+63nFIlEUdFRpSVl3nx/taUZoetPdDr9ySef5HA4ZWVlPj4+PB6vra0tMTGRRqMpFArEBwAAAJD1AUDXSJI8evTYmPhoNybXVxB82/mXL1++76cMX3pUY7uUohwI4B06KGaz+cSJEw0NDTf+JBKJEhISDAaD3W53c3NjMBhmM9pdAQAAAFkfANyE2WzWqDUhMX6kncZlCW47/4wZM1rbWusqZHq7WqatRQDvBIqi2Gz27Nmzg4KCbvzJz8+PRqNxuVwOh3PkyBEGgxEcHIygAQAAQJfwXh8AEDqdTqlSOphmIdO7O/MHBgaKRKLy8gr6RF1Le4O/ezhi2G8iIiI6PnR8BgAAALgFtPUBAKFUKuvqahTGaxJBSHfmJ0kyeW7SicOnxIzAYnkeAggAAAAwmKGtr7uKi4sbGxvnzZvn/Hr06FE+n+988SYxMTErK4skyfvvv58giJqaGqlUmpycfP78eT6fr1Qq1Wq1RCKZNm0awgiDU2FB4d1zZ1gIQ7BHdDeLPPzww4seXLxC+WA585hKL/fk+SGMAAAAAIMT2vq6SyaT+fr+No6Z3W43Go3u7u6VlZWenp4URV27ds3huL5PC7Va7e3tzefzW1tbSZJEDGFwotPpKpUqPDrUajfz2aJulgoODvbw8OCQQhaDI2+vRRgBAAAABi209XU7UgyGQCA4ceKEr6/v6NGju1/QYrHExsZOnTq1oKBAoVAkJSV1/ESSpM1mk0ql/T/KVnt7u2sF29raXF6pSqVyrWBzs+vDA2i12v4v22V4SZKkKKrjw3VfnR96E16Xj6mbm9uVK8V33T+5yVKraFS3MyyObnTLyeVyo0dEtTS2iWP8fy7N4er8rA5L/2ywRqPp/yj9DxqDNLZ52Gy0Gw6xzWqVSqUEnUn8bwzlcnlPV0JRlNFoxB9GAAAAgKyv/3h7e5eUlLi7u1MUlZ6eLhKJqqqqZs6c+fPPP4tEokmTJjU1NV1XxN/f/+zZsywWi8/nt7S01NfXh4eHX3dXx2AwoqKi6HR6T7fHZDJRFMXhcFy4lZTL5T4+Pi6sVKFQ8Hg8Lpfrwq22xWLx9PR07RZfKBS6du8rl8vFYjGLxXIhvGq12s/PlacWZTKZl5cXk8l0IbwcDofP57t2TL29vRkMV85oo9Fot9tnzkw8XiGPHTm2+wWTk5PrahrSFiYfLPivJMTbjcnrZkGr1apUKiUSiWt/AYhEIjab3dOCFotFpVK5tlKdTsdmszsfU4dBrWUw7ARBXndGM5lRUVEkndH5zw4mkykUCnu6UofDUVZW5vxHAAAAAABZX3+IjY2NjY3t+NwxfcmSJQRBBAYGdkwJCwsLCwsjCCIuLi4uLq5jempqKsIIg5DZbLbZbBTD7sXz71HBKVOmHM4+4sN6wmoz17aWjfCdiGACAAAADEJ4rw/gj665uVnkLmpur+9p1hcQENAku6ao1wR5R5bKLyCSAAAAAMj6AGAwKi0t9fXzbVFf8xEE9Kggh8Mxm82nTp2aEDSzrPkSnkUEAAAAQNYHMBxoTa2HSr7VmdXDY3ccDkdWVtboMSM1hjYfflCPyrJYrJSUlL3pe7wZYVw2v+DaaVQPAAAAAGR9AENewbUzZc0XT0ozhsfu1NTUHDt2bHRcjEon6/6wDR1Wr17d2NTw6+nCGdH3XsVDngAAAADI+gCGAZVONj1sXm1bmd1hHwa7U11dbbPZ2FyW0arraUepDofDy8srICDg4sVfA0VRJInrCQAAAACyPoAhTmNSmWyGWP94taGlvq18GOzRmTNnwsLCbHSTB8+np2UdDgeTybzvvvtyjuV4ugVYbEajVY9KAgAAADDYYOQGgB44eOXLkb6TBWyPAFFEfmNumOeoob5Hv/7668SJE3VmtTcv0IXiNptt9uzZn376aXV5nb84RG1UcLo9ah+4wG63v/TSSw8//LCvr29FRYXJZBKJRC0tLSaTadGiRTQa/sgDAACALuAWAaC7KhQFhU3nRvhOIghiQuCsipYCo0U31HfK29t72tRpenO7nzDEtaxv9OjRnp6eJ3NPiXm+Sl0T6skdRafTn3zySQ6H4+/vHxYWptVqlUplUlISi8VqbGxEfAAAAABZH4DrrHbzT0Wfz45axGMLCYKI8ZnApLNK5L8M6Z1qbm622WxxceO0xjZfQZALS7DZbCwWKyEhIftwNpfh3qK7hqrSPywWS25u7qxZsyiKwpgZAAAAgKwPoA+cq8my261JMX9yfnVjcmN8J15qyB3SO1VUVOTh4RESHKI3a8U8X5eXk5KSUlCYz7N5aU1KVJV+QJLksWPHUlJSvL292Wx2Tk4Og8EIDg5GZAAAAKBLeK8PoFt0JvWEoFkMOqtjSoTX2MsNJ3VmDZ/tPkR3qqysLDw8nMlgWmwmN4br7+OFhoY6KPu1mhYb34KqcqdFREQQBBETE+P8mpycjJgAAADAraGtD+D2LtYf15pb545c1nniCN+JfoLga5qqobtfP/30k0QiIWmknbK6Mbm9yUPi4+O/27GLRtJtDisqDAAAAACyPoChxGwzHC7dESoeed10kiBj/afXtw7V8RvkcnltbW1QUJDFaiEIspdLS0pKMpmNHlyfGlUJ6gwAAAAAsj6AoaREfsFkNYz1T7jxp2CPmOb2BrvDNhT3q6GhwWg0RkZEmizG3g+wHhsbazIb+UxRQ1sF6gwAAADAoIL3+rorPz/fZDJNnz7d+TUvL6+pqWn69Ol5eXkTJ05saGhQqVSpqamdi5SXl5eWllosFj8/PwaDER8fjzAOOTqzJrvk2/tHr+KzRTf+GiiKNFjb69sqhuLAfTk5OaNGjZL4S2pkUi6L3xdZn4llF5Q1n7g7ahGNxD9KAAAAAMj6hhoajfbvf/975cqVqampVqu1rq5u7NixWVlZU6dODQgIyM3N/fXXX7/77rsNGzZwudzi4uLk5OSrV69Onz69sbGxuLj42LFjmZmZr732mpubW8cySZK02WxSqbT/x1Zub293rWBbW5vLK1WpVK4VbG5udnmlWq3W9ZSvXb+38l9+nEg/x+iKii6asBg0Fs3Czsz/NiXsLxa76dbhJUnS2cO+88N1X50fehPe7h9TOp1uMpn27ds3b9482bXmSnmx1UxVSisdlMPltXO53KCgoKqixiZazamC7BDBaJvDcocqoUaj6f+a/7+XAwZpbPOw2Wg3HGKb1SqVSgk6k/jfYMrl8p6uhKIoo9FIkqTLp9vRo0fnz59fXV2t1+tnzJiByzgAAACyPriNuLi4jIyMgwcPNjY2BgYGcjgciqLc3Nyc92RGozE5OdnZ1ldTU+Ms4kzwzGbzyJEjV65cWVBQcObMmaSkpM53dQwGIyoqik6n37jG1atXczicTz75pMvtMZlMFEVxOBwXbiXlcrmPj0+XK701hULB4/G43B53+9He3m6xWDw9PV27xRcKha7d+8rlcrFYzGKxelrQZDLp2406htxYrp07bkmg6KZ94rex44+V7/EP9WXR2c4pMpnMy8uLyWS6EF4Oh8Pn8107pt7e3gwGo/uRaW1tnT17tiTA96rWHiQOiQyL7Ol6bTabyWTq2ODQ0FAW3c2d68kQ2sIjQm9R0Gq1KpVKiUTi2l8AIpGIzWb3tKDFYlGpVK6tVKfTsdnszsfUYVBrGQz7/74QSVEUg8mMiooi6YzO2ReTyRQKhT1dqcPhKCsrc3ksPqvV6qyHGM0PAAAA8BRWd/3yyy/Xrl0LCQlxOBx79uzhcDhVVVUzZ84sKSmRyWSTJk26sYi/v//Zs2dVKpVer29paamvr+/RHefy5csLCwsNBgOCPwAnBkkz2ww/FX0xOSQ5UHSrdGik72SSoF2VDbHh2i9dukQQxPjx4wmCaDXJnEPP95Knp2d1Vc2YgGlXms6jCg04Pz+/4ODgxx9/vLa2Fg19AAAAf3Bo6+uuqVOnEgQREBBAEETn0ZCXLFlCEERgYGDHlLCwsLCwMIIg4uLi4uLiOqZf99bfbc2aNSs6OvrUqVPz589H/Ps966Mr9U1MOrtjWPab4bIEUT5x+ddOjQu8awjt4IkTJ8aOHevh4UEQVKtBLmB79H6ZM2fO/PijLYsC51+sPdGia/ThB6IiDSCZTFZQULBr1y6EAgAAANDWN6jFx8cfOnQIceh/dBq9XHE5VDyC041uTqK8xjW2SU22odQqe+XKlVGjRhEEYbGb9RZNbwbr6+Dr66vRavz4wUwG22jRoRYNLIFAkJubm5aWtnjx4jNnziAgAAAAyPpgkEpOTs7KykpPT0co+llR85mi1hNTQ+Z1Z+ZRkikirvfP1VlDZe+qq6srKysffPBBgiAUums6UzuP5d77xbLZbKvVQifYY/ynN7c3oBYNLD6fv23btr1796anpycmJiIgAAAAyPqAIP5/j3lms9lkMg2STQoKClqzZs3GjRvtdjsOUL+x2a37i76YEjDfk+fXrbOIpI0PmFksO29zWIfEDp45c0YkEo0YMYIgiFZDM2Wn3OjcPlmyt7d3lbRmVMDk2tZSVKSBpVKpDh48qFQqDx8+XF5ejoAAAAAg6wOCIIiKioqsrKzt27cXFxdbrYPl9j01NbWysrKgoAAHqN8Uyc4ZTIYo9wndLxLmOVptVLbq5UNiB8vKyiQSibPvTY1RyabzSJLeJ0v28fEpKSmWuAfrzWqr3YK6NICsVqtAILBarf7+/r0ZEQQAAACQ9Q0rJElGRUVNnz49NDR08GzV6NGjFy1a9Prrr+MA9Q+jVXeo5Js50Wm+gpDulwoQRYg4XgXXhsbbU7m5ubNmzXJ+btLUeLB9SYLskyWHh4dnHcpkEwKNqbWhrQLVaQB5enqazeaioqL//ve/48aNQ0AAAACQ9QFBEER0dHRcXFxMTMzWrVtXrFjxzDPP9GaA7z60devWkpKSLVu24Bj1g29+eWuk35TZ0WlmW88e9J0dnVbXWjb4d7CoqOjatWsLFy50ftVZNP788L5a+Lhx47IPH26RK4I9o7698K/DpTtL5RfNNiPqVR+qqqoqLy9vbGykKOr777//z3/+o9Vqf/jhh+bm5v/5/8JodDgcc+fOXbVq1cWLFxE3AACAPzKM3HC9K1euTJs27cUXX7Tb7S6MgX4nsNnsjRs3bty4MSkpyfku1nDioBwZhVutdsuicX9h0tkDuzGXG05SDmpO9BK7w0YQPRvbOtwztlh2Xq6tpdN4g1ovo/YAACAASURBVDngarU6NjY2KCjI+dWNwfXhBvfVQN4BAQEeHqLs7Oz7lizk0AUEQdW1ldW1/f9kmKJoNDqNpNtsNoNRL9AI7A4bQV7fzOhw2Mb4JwR5ROFydNOzxuEwmUwkSTocDp1Ox2QyaTSazWbrmMFms128eLG9vT09PZ3NZiclJSFoAAAAyPrgdxqNRq/XD7atSktLu3r16o8//viPf/xjmAW8RJanNbWq9LKL9Semhw3kyIRthpYL9Ucfnfoyny1yoUcfLos/2m/q8Yr05KBVRB89MHknnD59+qGHHmKz2QRB6MxqOkn3EwZThIMg+uDVPjc3t4cffnjLpx8/uuqR+aMeudlsVqtVqVRKJJKbzXCsbDeyvi7V19e/8cYbkZGRCQkJL7/88iuvvBIYGPjss88+9thjztFEf7uyMxijRo26cOFCampqUVHRpUuXMFA7AAAAsj74nZ+fn1arpSiKJAfXjftTTz21Zs0amUx2i3vlIUdv0R4u3bl6+j+Lm86fq8kc2Kwvu3SHmOPNZ4tcXgKPLaxUFE4Uyz29PAdnwK1Wa01NTcfjnW0GBZ3GELh59FVbH0EQc+bM+c9//lNSUjJ69GjXL0x0ptVuYdJZuCJdJzg4ePv27R2hdn7Ytm1bl5ey8vLyBQsWeHt7v/feewgdAADAHxne67teZGTk7NmzbTabw+EYbOkoi8Xq8vZu6Moq/prD5Iq5vnEBM3RmtVRROFBbIm0puNJ0blZ0Wm8WEioeKXDzqFBdotEGaVtfTU2NUql0js9OEIRCd82D50sj+/I6EBsbGxkZqVare7MQi918VX4Bl6Neev755/fv3//ll1+KxWJEAwAAAFkf/I7JZAoEAj6fz+PxBltz34oVK3bu3NnQMEzGvy6TX7wiO79o3FqCINw5XiN8JubVZA/Illjtlp+KPp8Vtcib79+r04mkjwu4q0qTb7UP0oH7iouLa2trabTfTvzm9noPjjetj4ZtcOJwOOPHj5dKpb3Mn3Ol6bgc9YZKpdq9e7dGo8nPzz979iwCAgAAgKwPhob58+cTBJGTkzM8duds9cEIr7F+wt8GSIj2mVCvrjBadf2/JVJFgc6inhg0u/eLCvMcpbO1tltaB23WJxL9/ghrm0FxJ9YyatSoqqqq3izBi+/fZlA0aWpw1rvMarV6eXkxmcw+fHwXAAAAkPXBHcdms5977rnNmzcbDAYG4468k1lVVeXn59fS0nKn9+WX2iON6soHxj7VMWWsfwJBUcVN5/s5qhRF7S/6fGbEA548v77I+kZzmIIrTecGZxU6efJkx8tgBEEodY13Yi1TpkyRSqUWS89GabfVF7a+Eqd6bULraxNo/5rv0yI/9v3y9ndmOdRNOPdd4OfnFxwc/Pjjj9fW1qIrFwAAAGR90F1qtXrfvn3OP85NJtPWrVsJgsjIyFi2bFl5efnatWsXLlx44MCBzkU2bNiwe/fu6urqpUuXLl++vLKyspfb8Oc//zkqKmrdunUMBqPPH0C9cOFCXFzcqVOn5s+fz2azi4qK7lAkVXp5TvmuJ2dscOf83usJg86cE5MmVRb182H98vw/Q8QjZsek9dUCJ/okn63KMloHXU+wV69erays7OjKRW1UtpvVXnx/u8PetysKCgqSSqWnT592PRUniHmN7RUidoU7i2ZHU1WPVVZWrlix4rXXXnOO6XfmzBnEBAAAAFkfdEtRURGfz3d+PnPmzPjx4/Py8jw9PXfs2FFRUTF37tyffvopNTW1pqbG+RDm+fPnU1NTfX19CwsL//rXv+7cuTMyMrL3m5Gampqdnd3Y2NjnzX1vv/321KlTY2JiLly4kJycHBcXV1JSciciWaMqCRGPlAhDr5seIh5ps1tsdku/HVODpV2mrZkSOrcPl+nDDTFbTM3ausFWgaVSqYeHR0f//gZLu4NyCNliiurjjotYLBaLxSotLXU96yMJD4vdx2Atd2cP4lEwBq/IyMgdO3b8/e9/f+yxx9LT0xMTExETAAAAZH1we/X19QaDISoqym6322y21tZWkUhUXFwsFospimptbT18+PCSJUsqKyudI6ERBCGXy729vQUCgUaj+eSTT15++WUXRoG70dKlS0NCQj766KO+zfr+/ve/X7lyJSMjgyAIOp1+8ODBy5cvT5gw4Z133unbSGqMyrzaw/eNevTGnyTCUC6LX6643G+HtbjpfKT3uEivsX24TD9BcJAo8lJj7mCrw7m5ueHh4Z6ev7WvNrfXc5h8PlvkIPo462MymXPmzHnzzTdra2tdX4iDmqYwlruzWlm4TAEAAAAg6+sXR44c+eyzz1566aXS0lIGg0Gj0cxms0AgMBqNJElSFDV37tw9e/ZERkaazWZnEQaDYTKZ9Hp9XFzczp07ly9fnpvbB5kAi8V68cUXs7KylEplX+3dd9999/HHH2dnZ7u7u3dMHD9+fEtLy969ezkcTnFxcV+tK7PkGzqN4cnretRBX0Hwhdqj3VxUVVWVp6cnSZITJ07MyspyIf88W33wnui0Pq4rJDktbF6JLM9g0Q2qOnz69Ol77rmn46tMU+PJlzBozD5v6yMI4u23337zzTfDwsJefPFF15Zgo5ExOodQXl+ovIzrT085n/DcuHHj119/vXjxYjzhCQAAgKwPumXNmjX79u3717/+JRaLd+3alZiYmJeXt2TJksLCwlWrVsXHx+fk5CxYsGDv3r1hYWHJyckEQSQlJW3btk2r1YpEosWLF2dmZs6bN69PNiY1NXXs2LF99fil1Wp97733duzYMWLEiOt+cnd3Lygo2Ldv35gxY7Zs2cLj8Xq5rhLZ+RLZL4vG/d/NZggURdW0XlXpZbddVEZGRmRk5IYNGyiK+vjjjz/44APy/6PRaEuXLq2srGQymbfK5Eu/YzM5PoKgvq0qNrslwmssi+7WqJYOngpcXl7e0tKSkJDQMaVZ1+DDD7hza3z66ae1Wu3hw4fnzJnjwuiXFEHQKGqyytKsKsf1p6ecT3ju3r37+++/xxOeAAAAgKyvB0iSDA0NDQgIWLp0qZ+f31NPPeXMBr/99tvo6OgtW7bs378/Le33hiM3N7d33303JSUlLCwsPT39hRde6MP+V5YtW/b555/3yaIef/zxBx988KGHHrrZDPPmzaMoKjs728fHRyaTuVjVSLrRqttX9MXckcu8b55shHqO9BOE/FJ75NZLe/bZZxcvXnzhwgXnUUhISDhx4gT1/5nN5jlz5syZM8fLy4vNZpMkKRaLr1y50nkJNaqSK7KfHxj7dJ/XEwfl4LJ4cQEztKZBNH7DL7/84u3tHR0d/VuqbzdrDEpfQcgdXalAICgsLFy0aJHzmeEe588ENdIh1CsrazWVuP4AAAAAIOv7w4mIiDh16tSxY8d6uZz3338/Kyvr8ccfv+2chw4d+vTTTyMjIx999FEXVkSn0Q+WfOXOEc+MfOBWqTVBTg1NLmw6a7YZbjbPxo0bs7OzW1tbJ0+e3OUMTCZz9erVdXV1MpnMbDZTFFVaWpqWluZsCWQxWatWrfr21AczIu/3dw+7E0eHooixATMqWvIpYrD0P5mTkzNp0iQul+v8qjW1Gaw6375u5+zS008//euvvy5cuHDmzJk9erWVohwCtjuTxj5bdRCnPAAAAACyvj+c6OjomJiYzMzM3iykqalp8+bN69ev7+jX8dYeeuihffv2bd++vaP3/26nfIyW9sZS+cWEsJTbzhwmHm2yGps0tV3+euDAgffee+/gwYOdX0G8LV9f39LSUoqizp07N2Xy1IO5P8g0NUtmPfGXp//vThwdu8PmJwyx2Ext+pbBUFtsNltjY2NsbGzHFJ1ZTRIkny3qnw2YNGlSYWHh2bNnU1JSehhJe4zvhGrlFbPNiLMeAAAAAFnfHwtJkl999VV6evrhw4ddKE6n08vLy0eMGPH222+/9NJL3SxlNBqTk5Mpilq3bh1Jkt0vSCPpudL0hPD7JwTdfduZxTzfqSFJh0r+e930trY2f3//zZs3t7a2ujwGRnx8/PHTOS98tfzRu59TNxk//GjTvffe62wDfOKJJ1x4/axLFEHRSYbJpj9fc2gw1JZLly41NDR0zrga2iq4bIEH17vftiE2NtZut7/yyiskSb766qscDqc7pax285TgewI8IvcXfTHMTmGFQuHl5dXTP1CcMczIyLh06VJaWtq5c+dwMQQAAABkfcOWzWYLCwtbvXr1m2++abPZepryaTSa+fPnr1mzZuXKlS6sfdasWQaD4ezZsyRJ5uXl3Xb+Wu0VO8s8K2pRN5c/MXh2q6G5RlXSkeKeO3dOLBavWbPmxIkTvQydUtckYIsmBc8hCILFYh06dMj5NqCPjw+dTidJcv369QRB0Gi9PTsmBs8pkf9is1t7f7g3bdpE3iA2NrabI6E7oxceHt4xpUlb68cP7v96O3PmTL1en5mZGRwcXFZW1p38maSzZkU+eEV2XqG7NmzO35aWlsmTJ69bt+6nn37qUcHz588vWLDA398/MDBw9+7djY2Nzc3NuB4CAAAAsr7hyZmoLFq0qKGhIT8/v0dleTxeenq6Vqt9/vnnXd4ADodz5syZe++9d/r06bcdkeJS44kQcTSdpHdz4b6CYL6bqEr5e/8r69evX7hw4RtvvNH70JU1XwwRj2DR3a6b/vbbb1ut1kceeWTTpk0cDmf58uUdg3C4JsQjxmTVy9t7O1z76tWr169f/+9//9t50I1G4+bNm0eMGFFSUjJz5kxnn6UTJ07ctGmTwdD1y5D5+fmdH+8kCKLN0OzO8RqQqsvlcvPy8kJDQ+Pi4q5evXr7Ag5bsEcMl8UvbxkmQzhYrdbk5OR58+a9+uqrPS2bkJCQmZlptVr1ej2NRmMymb2spQAAAICsDwY1s9k8duzYe+65p0cDqZMkWVdX9+WXX2ZkZPj5+fVyG7KysoqKilJTU2/xtGex7Hxhw7lR4vgeLXl66Lxf647ZHFabzRYaGpqWlrZv377eB63V0FzWcmlGeNdvlzEYjG+//ZaiKIfDMXfuXD6fT5LkAw88oNfrXViXjyDIzz00v/GUa5tqsViSkpJIkjQYDBRFPffcc87pbm5u69atc76m2CErK6u5udnHx6dzYyCdTr/nnnuys7NlMlnnMRusdoveovURBg1U1WWz2efOnduxY8fo0aMPHDhwm6SPsjMIckZ46qnKfTaHhSSH9lUrPz+fxWJNmTLls88+c6H4wYMHV61axWQynU8jW61WNpuNiyEAAAAg6xu2KIoiCOLDDz+sqqr66quvulmqubl55syZDz744F133dUnmzFmzJj29vYpU6aQJBkUFFRVVdX51/q28j35Hy0d94KHW88yzIlBc8Q8X61Nee/8+w4ePPjss8/2flMdlGP3pQ/8hWFCN/FtM+ply5ZZrVaKovbt25eTk8PlckmSnDVrVo96oUyOWXq5PldtUPRoOzMzM0mSvPvuuw8ePEhR1Pfff3/bmuDn5/fuu+/qdLrOqaDdbj927Nj8+fOPHTvWuZtWpe6a0aIPEkUNYO3V6XRpaWkURR06dIgkyV3pGYxbjgaZGJEq4ngfKtnOoDGH7jm7adOmFStWmEymL75w8TXF1NTU0NDQadOmOV9tXbJkia+vLy6GAAAAgKxvmBOJRHfffbdWq+3m/B988IFQKHzyySf7djMeeOCBiooKOp0eGRn55ZdfdkzPqz3s7x4a6R3X09fbmHRWtH/cupeflPj7jRkzpk828pqmuqGtclLwPS7sncFg2LRp08mTJ2NiYrrf6YvEPZSk0a5pqrt1NtJoFEX96U9/SklJSU5Ozs3NdXNzuxN1RmNSsRhuXCZ/MFTgzz77bN26dcvSHvrPJ5/weLxbjGg5WjK1XHHZZNUP3ea+n3/++ejRo2idAwAAAGR90GPr168/efJkd9qgduzY8dFHH33zzTc9Gvagm6KiomprazUazc6dO0mS3PT+puq2ooJrZxaNW0sn6S6MXGeTcRhepk+3fups1ey9QyXfjA1ICPJwsY3rb3/7G0VRhw8fdnb6wmKxPvjgg1sXYTM4YyXxv9Qd6c7yN2zYIBQK+Xw+RVFHjhy5c7mBXFvHZQl4bPdBUoE3b94slUr/vnXvc/vLWQzazRK/CYF381lCvUVLEuTQOkPpdLrD4Zg1a1ZsbKxEIsElCwAAAJD1QY+FhITweLzb9uly/vz5p59+Oj09fdy4cXa7/Q5tjFAoPHnyJEVRBcX5L3y+cv6o5d68AJujx/1YPvvs+uSEVK43nWT3zaY2tzfINDVzRy7r5XJGjhzpfH6ytbX10qVLzjfoxo0bV15e3nWuEnR3Y5v01v1PPvXUUyRJKpVKq9XauaX0Dmlub/Dm+w+qOhwZGVl5Lut0jU6y4XKpwkQnu8jrhG7iSO+4/KZcBp0xhE5PNze3wsJCLpcrkUhef/11XK8AAAAAWR+4SCKR3LYf/IMHD06ePDk1NdVo7I8Br7/46rMAv8C7oh9ImpNsMBjodHr3y3722Wcffrhp79694+MmKrWyPtkeubY2RDxCzPXrqx3k8/m7du2iKOqtt94qLCwcMWKEp6fnoUOHmMz/efFM4h7Oors1tEm7XIhUKvXx8fn88883b9782Wef9eilQZepjUoxZ9C9DCZyox9+LCbKy232l+Ut+q7/JhjhM0FharDYTEPo3Gxqapo/f/60adO2b9+OKxUAAAAMCAZCMDy8//77K1euTEtL43XVJYZUKn366acfeOCB3NxcZweV/bBJJ8rS30j76qOV3gRBZGdnnz171mg0urm5sVislJSUiRMn3lhEr9dv3LjxypUrjz76qPOpTpV+RnbRd2PDpvZ+e2pUV1dMfulO7Okrr7zyyiuvOD/bbLadO3dWV1fTaLT29naSJPl8/jWj/lfa6TGSeCaD5Zxt27ZteXl5QUFB8fHxLS0tzokKhaKbY5f3hkovV+iu3Td65WCrw3YHxaaTx1aPsDuory4qFXqr2mD1FLVzNR+4+wQuWrQoKCjI3z2SxxbuKfhw2eTn6bTBfvnavXt3enq6n5+fM7fHZQoAAACQ9UGvkCQ5atSojIyMFStWXPeTzWZbsWJFRETEX/7yl37bHpNVr9Q3ibjezq8zZsyYMmWKp6cnQRCPPvropEmTHnzwwT179jAYv9dA54tPISEhncet9uRJHHRb77dHb9F68QMY9Dve/SODwZg7d66Xl1dHix9FEa++9spPmT/8fdW/aDre1//9ateuXSaTaf/+/QNSVdpNrXSS7sUbpG+XUQRBp5FPTPEmCIKw2wSS0K+N7k+/8HdnJ66PP7bm2Vf//F3Rv6qURdE+EwbtyUgQxJ///Odt27ZduHBh9OjRNpsN1ygAAAAYQHjCs7tkMtmjjz6anZ39W1ZjMm3dupUgiIyMjGXLlpWXl69du3bhwoXXDT62YcOG3bt3V1dXL126dPny5ZWVlXduC++666633377xpHlVq9ebTKZduzY0Z/hyij6bJRf1w10zgHxJk6cyGQyGQzGjz/+SBBEdXW1WCwODw9PT0+/bn4Rx6upe31g3sLZ6oN+guABygGIt996e/GfFv+Q+/Uvv1x48cUX3d3dByrlIwjCQVBePH82gzskzjudTrdmzeMOq9nZRu0fKBkVNv7sgYK3vn72xx9+HIQbzGAw9Hp9RGTU2bNnzWbz5MmT++eBagAAAABkfX1AIpF88cUXAQEBzrvPnJycu+++e+fOndHR0du3b8/NzU1KSvrpp59SU1NrampycnIIgsjOzl69enVERERubu66det27tzpHGLrDpk+fXpoaOg///nPzhPnz5/f3NxcUFBAo/XfsT5SurO+tWxC0KxbzPPyyy9TFGWz2UaMGMHj8e66666SkpLdu3ffOGeIcFTW1W9d3hgmnVXRcvlcVaZEGDqA9ScxPOVMRaZvsEdZWZnLY7X1Ca1RFSCKIElyyJ2DJEm+8cYbLc2Knz78OXZKlPcY5oL7H3D2phMREXHhwoUB30Ie123PiUuevpKDBw4UFRWxWCxcOQEAAGAwwBOePcBisVpbW3U6HZfLNRqNJEmaTKbrBhVoa2vbvHlzXV1daWlpcHAwjUazWCyxsbFTp07dv3+/l5dXQkJC57tYm80mlUr7JCVjMpmJiYk1NTWNjY0Gg4HBYLS0tOTn53/88cf19fXXdRPS3t7u2lra2tpu9S8CSTPadD9XHRojnlldWeOg/qf7TZVK1eVmO3sf1ev1FRUVN85gs9DqlRX5Jb8KWOLrFtgd+nbjicb9Hkw/Wb3SQcl7liB1exTE61wXXhpJN1opu91+4eqZcOFYG2WlKIokSWfl6fzh1uHt0Uq7PuFprGplBUnQqitrbQ5LNw/rHdJ5gykGmyVrcL8uGSUJu91eU1NjF5qJ38d7JOkaujvhX1B/5sPNH2z66P1PPvnko48+mjp1Ko/He/311xctWmSxWHoTpdujMUhjm4fN1vm8dWPScqTqx39qWPnYai6XI5VKO18c5HJ5T1dCUZTzOoNrLwAAACDr6z8kSba3t6vVaoFAwOFw1Gp1VFRUS0tLbGxsQECA8+bMw8PjmWeekUqlycnJJ06ckMlkOp0uPDycIIiQkBCFQnHdXR2DwYiKiupR/5ZOzoTzus4/XnjhhbS0NJVKFRcXRxDE+vXrX3/99bS0tOtWKpfLfXx8XFipQqHg8Xhc7q0eDvyx8FMvgWRR/JPX3WpbLBbne309pdFo3FvELLEjUhLR07IqRWub49o1Y9mT8RsCReE9Cq9arfbzc6XDT5lM1vm9vg4VloRGS/GcyNRbhJfD4fD5PR483XlMvb29O78neTOFBmusJD7cO7Tzet3d3V1omLLZbCaTyYUNtlqtSqXyupHrbAy1lqKozoPxUQSdTg8LC6OJfh9norm52Uvs86Df4x+depYutoaIYz788MMPP/yQIIiamppHHnnk+eefv+0GiMXiuLi42NhYf3//MWPG+Pr6jh8//hZnhE6nY7PZnY+pw6DWMhh2giAJgiRINpN8+UjjR+ea9/3fzIVbPicIeuc/O5hMplAo7GmUHA5HWVlZXw1WCQAAAMj6oLtSUlKcH1JTU7ucThBEWFhYWFgYQRCzZ88mCMKZgBEEMW7cuDu9eSwWKyIi4t133921a9dzzz136dKlfn6dz2IzybV1D8T9uQ+XSSfpk4PnyLQ1oyU97snTarccuvptnH9ioChywCvP+MC7d136t9qoEHG8B2obrHaL2WYWc4d2f5I2h8VHEBTlHVehuBwijul86p05c+amldNiUalUzlRToVAUFxcXFxfX19d/+umncrm8sLDwFn3b8vn8u+66Kz4+PiEhIS4uzsPDo/OvPBZtXWbdoXJN1d9G+IQIKTtF0gkAAAAAZH1wp0yaNOmtt946f/78V1999f7777vQDtMbJbI8d45noCiiD5dJEUSoeOTpKle6P1EYGhs10tRxqwfDofF3D6eTzPrWclHAgGV9ZpvRbrfw2e7DoKrHSqbVtZa7Vtbb23vWrFmzZt3q1dPa2trCwsLCwsL8/Pzs7OxDhw4dOnSoyzlpJOHDZx1ZFeXNo9kcaJoDAAAAZH1whz388MNnzpyJj48/duzYnDlz+nPV1criPfkf/d9d/+7bxTooe4h4pO7qt5cajk8M6sEe2R32IzX/nTt6aah45GA4NBwmb3ro/KPlu8cGzBiobVDpZRqTaqh04Hlrk4LvqVQUFTedj/WffieWHxoaGhoaumDBAuJmT3h+stiubSFpv7frWW3Wfug06fjx4/n5+ffcc88777yzbt26zq8KAwAAAHQJfXgOQ1u3bqUoqp9TPrPNuOvS+3dFLrxDz1IGiaIu1B7rURF5ew2dZE4LuXfwHJq4wES9RVujujpQG9BqaG43tw2bqs5iuJ2p2v+HOrsvX77M4/GeffZZLy+v3bt3NzY2Njc346IHAAAAyPqgPxwp/c7qsCRGLLhDy4/yGafQN2pNrd0vUtda7usWymMKBk+URBxvD45PecvlgdoAtaFFwPYYNrVurH9Co6aq1dAyLM8pkiTNZvOJEycaGho6JhqNxp07d37zzTcOh4NGozGZTLPZjOsPAAAAIOuDOy6n9Pu82uxn7t4sYIvu0CoivMYI3TwvN+R2c36Dpb1EljfR/x77zbvoGIDzjaStnv56iSzvi3OvDsgGNKqrJMKwYVPxIr3jJO5hpyv3DcvTiqIoNps9e/bsoKCgjolms3nNmjWxsbHO0SmsViubzcYlCAAAAG4N7/VBb12oyylXXNqQ8kPnLvf7/PaXQWMlj3j4h4JPJwbNEriJb1tk9+VNXJbQiyexO+z0wfTvBpfFXz/7k3ZT2z8yF7cZWh6b9tqk4H56FtfmsCr1TaMkU4ZT9Usbt/bjU+vHBiSEe8b+EU43Z8/AHZYsWYJLEAAAANwW2vqgV3RmzeGrO+JD771zKV+HEPFIh8PeqK687ZwqvaxKWTw55B6CIAliMPapKHDz2HB/+v2jV315/p9fnX/d7rD3w0qNVp3FZhK6eQ6nGugjCPLiSUrlv+JkBAAAAEDWB33Pajd/mPvXaJ8JE4Nn98PqeCzhGP/4M9UHbzvn4dId4V6x0d7jrXbLYA7gvaNXfrbkbIAo/K8/znn10J+uaaoZNOadW12rvtlB2T15fsOsHt4d9dDF+uMakwqnJAAAAACyvj+K+raKk5UZd3otNrv1k9PPBYmi/jTxb/22a1ND5so0NU2amlvMU60qKW++PH/kCoIgBmdD33XmjXzk08Unn5j+5q6SDW8cX9rQjcZM1zTrGrgsobAbz8cOLWMDEkQc719qD+PcBwAAAEDW94eQVfLNv489faR056bctSar4c6taOvZv7sxeCunvdKfexfoEekrCL5Yf/wW8xwq+W9cwAx/9/ChdeCCPKJfTtyxPO6lL869wqMxCAAAIABJREFU/Oe9M4+V7+7zVcg1de4czzvanDgwVzGSHh92n9bYitMfAAAAAFnfMGeyGl7NWtJuVm9ZfPxfKRnhnqNfyUprN92Rwdl+rT9GI8knEt7q/92cGjq3vq38Zr+Wt1xW6WVJMQ8PxSNotVtCxCPeum/vlkXHq5RXntqTeKysL3O/5vb6gKGWDHfT2IAZrYYWubYW1wEAAAAAZH3D2eaTzywYs+ZPE3573nLh2KdWTn1l47E1Ct21PlwLi+FW2nzhpDTj8elv0Aei1SjGZwKPJWwzKLr8tVpZnBixQMgZ2h2W0GmMJxM2fLo4t7q15MndMz7M/avZZux9SqnUN/kIgoZl5Wcz3EI9R+bVHsF1AAAAAABZ37CVnr/FTxg8KfiezhNH+k72E4R8ce5Vo1XXJ2shSVq7qS2z+JsA93A3Jm9A9pTLEgjcRA3qiht/MtuMcm1drGTa8DimdBrjifi3Xrhnm0xb99bhR5vb63qzNKNVR1HU8Hupr1Pix5EqCoxWPa4GAAAAAMj6hpuc0u+e3pMY6jlq5dRXbkgb6GtnfrB6+j9fP7Rs9+UPe78upbHxzZwVMyJSlk56bgB3eaTvlBMV6TaH9brpB6586aDsw6w5K8JrzHsL9r99/16pouj/0me/mrVE0d7ownKatfUOh91PGDpcT4SZkQ+wGJzsq9txTQAAAABA1jdMMOksmab2+f0pJfJfNj+UM/nmI337CUPeSfnxmrpqb/7HvVljm0Hx3/x/3jfm0emh9w7svoeIY9QGRaWioPPExjZpiSxv3qhHhusRnxGe8sniEysm/31DzurNJ/9msZt6VLxJW+PJl7AZnGF8UsyJTiuW/aw2KnB9AAAAAEDW5wqZTPboo48eOfLbi0Mmk2nr1q0EQWRkZCxbtqy8vHzt2rULFy48cOBA51IbNmzYvXt3dXX10qVLly9fXlnZZ53ytxjqPj2/Ptxz9F/v/vC2t/J0GuOpGRvKmi+erzlEki4Op55Z8hWP5jE9+L4BPxZ8tsjfPay8Jb/zxIJrZ905XsO1t5IO0T7j37pvt9akWr/vvhJZXvcLqvQyIVtMI4fzKR/uOYpOY1a0FOB6BQAAANAZAyHoJolE8s4779TV1VmtVjqdfvTo0cTExPT09KioqO3bt3/zzTdJSUmpqakEQdTU1Eil0uTk5JycnEceeaS+vr6srOy9995jMBh6fW9fOiqR/VLbelXE8W43aF6c/aWPu383C/JY7utnf3K+Jjv76nZduy6eMzdAFNHNslWKol8bjgeIIpKCV9II+mA4HKlj1uy6+H5xU16s/zS7w3aiIr1JU/3IlJf+CFVR4Obx2rztRqv+l9rDJ6U/6swadzevULe4W+TzFpupoa0iPvy+4R0ZLku4cuorBY2nc8p2hXmOrmstpZG0hPCU4d3CCQAAAHBbaOvrLqVSmZmZOXHiRCaTSaPRKIrS6XQ+Pj4qlYpGo/n6+tJo1weTwWC0trbqdLqoqKjAwEC5XF5dXd2bbUjP37L1zIuh4pEJ4fffHfmQgOXRo+I8lvCemCXzRz1ic1i//3/s3Xl8VOWh8PEz2cOSAEkIi6wSoyiyCoJVEAGlolDhorZuVC2t97rU92qtXa2lexWv1Sv2Xn1daquiFoMIiGwCgiCg7ASIEPaQhASyTSYz7x9zX7QsllLaq/j9/uGHTOaZc85zzuST3zxj5v3fNkQjxzNqz4FtTyy8v33zMwbn/UtiQmIs9pn43PNWGR3ObfulmRv+EATBR6Xr5hROHtV9fFbjVl+cCzI9ufGgvNGD8kb3Om3gjPXP/3LxuJU75x/rzuXVe6vCB9o1O+OUn5a2mZ0vP/umYWd+NS+n+5D8a7bv3/Lvr10+e+PLQRCc8Co3AMDnnbW+45WdnT1+/PhDX8aX9Q654oorDv27U6dOnTp1CoJg8ODBQRB07949fnuPHj1OeOsH6vY/POeOTi3Oemzs3L/zQGKx2GV5N62vXPTvU0bcN+TJ3KbtP+XOpVW7/2Pu3Zeedf2ATp+5ZaI+7S5+Z/OUrWUbZm188fyOw1s2Oe2LeWW2aXb6T0e8tGnr+uc//OlLKybeOXBim8xOh79mUb0rIZSQ1bj1F21ybuh737W9737q3Qde/eDxpISUUWfd1rr1yM/7QW3atGnVqlXNmjXLzs5evXr1NddcI2gBANX3uVew+r/fWP309X3vu6DziJPygLX11f07D09LafTT6eO+2uff+3cafqx7Tlr4vX4dLx2Sf/VncFqaNWrZtVXfgtW/T09uOihv9Bf5ConFYo1TMn/85ec3lX740Jx/i8WCm/v/qGurvofusKdyW0ZaVnJiyhdwcpITU8Z/aUIQBAdq9v/n/O++uOq3Z+b2unXAg41Smn4eD6eurq64uLhly5ZdunTJzc0tLCwsLi5u3769n5MAwKfwDs/PupeWPzJ1zdPfvPBnJyv54hoaGnqeNnDkud944f3fbiw5+l+/2LDn/bSkRkPyr/3MTk5+bu9VOxc1b5STkdbcpRJpiHTJPvdXIwu6ZHd7dN7/WbZt9qFvldfsbZae/QWfn7TExl/vOeHWAQ9sK994z5+veGLh/eFI7Wd5h0OhUF1d3ezZs4uLiw/duGXLlubNm6ekpNTW1rrmAYDjZK3vs2vJRzMmr/zdv174y7G97vwHbWJI/tWDz/iXx+bfu7Lp3LG97vrkt2ZtePGtDX/8zpBJjVKafGanqEfbCy/oPOLcNl9ytRySEEr41oW/CILggx3v3PXKsOTE1G9f/EhlTVmXnHO/4DMTC2L1DXW92l3cq93F8VueWTJhydYZjVMyb+p7/9lt+n/mdjgWS01NHTx4cHJy8qEbzzrrrCAIli1btnnz5srKyoSEBAt9AIDq+xzr1/HSfh0v/SdEwu0Df/Ob2f/6q1nf/D+Df5eYkBQEwaKiN95c9+y9gx9v0Sj3Mz5LN/S936VyVN3bXjhx9Mzi8sJH5n47Eo0MyrvKnBzmxn7fu7Hf98qq9zy58AePvnPvlzqPuO6873wu9rxPnz7xf3Tr1s15BAD++u/8poAgCG7p/+ODdfufWTIhCILa+qo31jx9af5XczM6mJnPu3bN8352xeTzO17aLD3HbBxVi0a59w198q5BE5dsnfHyykdNCACg+jg1NUvP+cnlf4rEIj+edt2sDS/1bT9s2FlfMy2nhsSE5H/peUfzRi1Nxac4M7f3Q1dNLy4vfODN6w7UlZsQAOBU4h2efOwbAx4srdo9c/0L1/a+22zwRZOckHL3xf9RVrX7N2/fNiT/mgtPH2lOAIBTg7U+/kJW41aSjy+yFo1bfeOCCQWr/3vljnfMBgCg+gBOQW0zO9858OFnlkx45r0JZgMAUH0Ap2L4NTv9oa9Mqw4f/G7B6P3Ve00IAKD6AE41oVDCzf1/nJmWNafwFbMBAKg+gFNQSmLqfUOfzGrc+r/e/VFyYrIJAQBUH8Ap6KIuozrm5v/3kh+bCgBA9QGcmvq1vWxF8TsvLp9oKgAA1QdwCspIzfr1yIJdlR8JPwDg88intB+vDRs2vPXWW7169RowYEAQBG+99VaTJk1CoVBdXd2FF174xhtvhEKhESNGBEFQVFRUWFg4bNiwd999t0mTJvv27du/f3/r1q3PP/980wifR7EglpSQctegie8WTfvXlwZ9rd93B7QaaFoAANV3qsnPz09MTNyxY0cQBA0NDTU1NW3btl2+fHmPHj1isdiOHTvatGlz2JD9+/d36tSptrZ2y5YtR34XODlJVnug4onrGkq2hP7yD67EwjWZ3y5Iyu1yErfVv9OXq8KVf1j26/RudWckpkbNPgCg+giCIBwOn3POOf369Vu5cmVJScnQoUMPfSsUCkUikcLCwoSEf/ZbbQ8cOHBiA8vLy094o6WlpSc2cM+ePSe80crKyn/+2KNObygUisVih/5x2Jfxf/w903vC5/TvPK0nZYdjSakpu4ozQ6HQX0xZ0NDQUFRU1JBRFzTUH7q5oqLi4/skJIVqK5rV1yf+5dAgCBISQlu372yoiJ6sWYrrnNjv+jNa/98ND49IKh0QS6j7y1Mcqa8vLCwMEpOD2F9sd/fu3X9zzcZiNTU1h03J0qVLmzRpsnfv3mg0mp2dvXr16muuuSZ0xLEDAKi+E5eYmHjgwIGpU6dmZ2dv3rx54MCBixYtatasWZ8+fXbu3HnYndu0abNgwYKUlJT4b2nbtm3r3LnzYb/VJSUl5eXlJSYm/q17UltbG4vF0tPTT+BXyd27d7ds2fIENlpSUtK4ceNGjRqdwO/34XA4KyvrBOa8oqIiIyPjxH6v3b17d4sWLVJSUk5gevfv39+qVasT2OiuXbuys7OTk5NPYHrT09ObNGlyYuc0JycnKelEntElJSWZmZknMEuRSKS2tvYEdri+vn7fvn2tW7f+i0dL2l8Zi8VCwcdnOhYkJiZ26tQpoVmbT74E0KxZs9TU1I/vVXugIjm5IRY77BKJRmMdTmtzaK0vHA6XlpYettHjdPDgwdTU1EPntHPQqd/p3R+OfOOjxrvGbq2KhoLYoWd0cnJeXl4oMemTL3YkJydnZGQEQbBs29uTV/6upr4qIZQQBEE4Unteh6E39fveUTcajUbXr18ff0XgkPPOOy8Ign379p111lktW7YsLCwsLi5u3769H84AgOo7Obp06dKlS5cgCK699tpDN1599dVBEJx22mmHbunUqVOnTp2CIOjevXv37t0P3X7llVeaQzg1hGLBjZvKn81J+FW37Fs3ljeva2j4/9EZSkjcX1u2onj2ex+9tauyKBT6n5X8aKyhb/thP/nyn1KSUv+eTS9fvrxly5bhcNhZAABUH8A/SjQUJMaCWzaULWyT8dDZ2QkfrzTWR18d1qJRq56nDRx3/vdbNm33ybW+v9/q1au3bt36la98ZcaMGeXl5QkJCRb6AADVB/CPEk5M6FtS07ek5n++jtQn5HTMvGPqJ9/heXKdc84555xzThAEl156aRAE3bp1cxYAgL/K5/UBAACoPgAAAFQfAAAAqg8AAADVBwAAwMngb3ieOqqn/rJm8QuhhI8/ez0Wi4USEjL/7eXEnM7mBwAAvpis9QEAAKg+AAAAPp+8w5MgiMUq/vPaSPGqUHLqx7fV1ybnfanpuEmhUMgMAQCA6oNT38EX761bURBKSf+4jSPhzG/+Ial9d5MDAMBnlnd4AgAAnMqs9X22RCv3Vjw2NnqwLJT48amJ1dcldeyZcfNToaQUUwQAAKi+f4g1a9bs2LGjUaNGZ511VlZW1uLFi3fu3Nm/f//Fixf37t27uLi4tLT0yiuv/OSQDRs2rFu3rq6urn379tXV1aFQKD09vX///iYTODGbNm3avHlzenr6RRddZDYAgOMUisViZuF4vPLKKxdeeOH69eubNm3as2fPF1988dxzz124cGG/fv26du36/PPPL126tKSkZMKECY0aNVq9evWwYcNee+21AQMGFBUV/fnPf7777ruDIFi5cuWwYcMOPWYsFluxYkVFRYW/mAIcVSQSyc/Pb9eu3aEfRBdccMH27dt79eqVkOAt+gDAcbHWd7zS09MP+zIWi6WlpcWDraamZtiwYfG1vqKiovh90tLSYrFYKBRKTU09enOHQr169TK3wHFKS0szCQDA38pLxccrNzd32bJlTZo0ycjIeOmll9LT0zdv3jxw4MA1a9bs2rWrT58+Rw5p06bNggUL9uzZM3To0BUrVqxbty4nJ8dMAiesQ4cOy5cvr6+vt9AHABw/7/AEAAA4lXm1GAAAQPUBAACg+gAAAFB9HN3y5cvHjBkzderUIAieffbZ6667rqysrLCw8Jvf/OauXbuCIPj+97//6quvHmv4xIkT58+fHw6H77jjjnnz5gVBcNttt02YMCEIgqKioscff/xY/wPnu+++O3bs2K1btwZBMGnSpFtuuWXRokU333xzZWXlpk2bxo8fX1hYeNSBe/fuveWWWx555JEgCBYtWjRq1KgVK1bU19d/61vfWrx4cRAEd911V3V19VHHvv3227fddtvBgweDIPjtb3/75JNPxg/hW9/6VkVFRRAEL7300ssvv3zkwB07dtxwww2TJk0KgmDOnDmjRo3avHnzwoULR44cuX79+t27d1933XX33ntvbW3tUTf67W9/u76+vqSk5IYbbnjhhReCIPjpT3/67LPPBkFQUlIybty4p59++qg7XFRUdMstt6xbty4IgkcffTQIgmnTpo0dO3bLli2/+MUvRo0adfPNN8dP02HWrl07cuTIgoKCIAheeOGF66+/fs+ePUVFRX/4wx+i0ejtt9/+zDPPHHWLVVVVt99+e/wM1tfX33XXXbNnzw6C4O67737wwQeDIPiv//qvG264obKy8sixS5cuveaaazZt2hS/20033bR///4tW7Y88cQTQRBs3bp11KhRM2bMOHJgeXn5rbfe+utf/zr+IFdddVX8VM6cObOsrCwIgi1btjz22GPRaPSo+zxjxozJkycHQfDQQw/97ne/C4Lgww8/fOqpp4IgePrpp6+99tpt27YddWBJScn111//2GOPBUEwb968sWPHFhcXT5w4saamprq6+vbbb3/uueeOOjAajf7kJz+58847a2trS0pKrr322vjZXL169YYNG4IgWLVq1bGeNdu3bx83btyaNWuCICgoKPjud7/b0NBQVlb2yCOPRCKRl1566corr/zOd77T0NBw2MD6+vr777//nnvuiUaj27dvHz16dPyoJ02atHHjxiAIdu3adfPNNy9YsODIjRYUFPzwhz8MgiAcDt97771vvPFG/FqaNWvW5s2bv/a1r33lK1+JzwMAwEnkr7l8tkyfPj0UCp122mldunR5+umnW7RoMXz48BkzZqSkpPTt23f58uVnnHFGly5djjr2vffeKysr69+//6xZs3bt2vX1r3+9vLw8LS0tKSlp+vTpY8aMSUxMPOrAmpqa9evX19XVNW7cuEuXLq+//vpll102ffr0q6++et++fYsWLTrs0+c/afbs2a1atWrevHnr1q1feOGF8vLyW265Zdq0aX379m3cuHEkEsnOzj7qwE2bNm3fvj0tLa1Fixb79+9/5513Ro0alZmZuXTp0rPPPnv69On5+fkDBw48cmAsFtu+fXtFRUVpaenAgQOfe+65rl279u7d+9VXX23VqlU4HB40aNCx9nbdunUlJSVNmzbNy8tbunTpihUrvvrVr65fvz4Wi1VXV19++eWfcmrKy8sXLVrUsWPHhISEV155ZejQoX379n3xxRevuOKKSCTy5ptvjhkzJikp6Vg5FIvFsrKyevbsOWnSpNatW3fs2HHnzp1dunTZtGnTeeedl5ube9SB8+fPb9GixbZt2y688MI5c+bEXwWora1duHBhdnb2ueeeW1RU1K1btyMH1tbWbtiwoaamJi0trUuXLmVlZU2bNp01a9bo0aMXLFhw0UUXFRQU5Ofnn3HGGUeOXbRo0YEDB9LS0gYOHBj/mMq1a9eee+65LVq0KC8vnzlz5lVXXZWcnHzUHV6xYkV1dXVubu6+ffsSExM7duz4zjvvXHXVVUEQlJaWLliwYOTIkcea4a1bt9bV1W3dujX+N283bNgwfPjwzMzMhoaGyZMnX3LJJce6ltasWVNWVpaXl9eqVau5c+dmZGR07ty5pqamdevWs2bNSkpKOtYlcfDgwblz555++un79u1r27bt+vXrL7vsspdffnnEiBHz58/v3r17mzZtjrW3H3744Y4dO0Kh0GWXXfbWW2+1adNm+/bteXl52dnZc+bMufLKK4/1IZxLly5NTEwsLS3t1q3bsmXLevToUVlZuWPHjqFDh8ajNy0trV+/fn4YAgAnkbW+z4p9+/a9/PLLPXr0aNWqVV1dXXw5JRaLRSKRhISEaDTa0NAQCoWO9efaFy5c2K5du5qamkgkEr8lGo1GIpG/WvV79uwpKCjo3LlzfBPx7Uaj0eTk5IqKihUrVlxyySXHasWpU6fm5OTk5+dXVVXFl0RCoVB9fX0QBImJiSkpKcda6ysuLi4uLh40aFBdXV18o6FQqKGhIRaLlZWVRaPRSy65JBwOHzmwqqqqoKCgrq4uNTW1vr4+FovFDzP+3/z8/EGDBk2bNi2+KHdkVOzZs+eiiy6KD4x/lGJ8uqLRaDzYVq9efdQZO3DgwMqVKy+++OJoNBqNRhMSEiKRSPzUVFdXFxQUDBs27KjJV1ZW9uKLL8ZPazgcjkQioVAo/iDhcDjeTkddr6uvr585c2ajRo3OOeec2tra+KmMz1J1dXXfvn0HDBhQVlaWkpJy5Ni9e/cWFBTEP9f7k6c1/mX8uorFYkdeS+FweNq0aRkZGT179qytrY1PRUJCwnG+NrRhw4aMjIy6urr4GUlKSjo0cN26de+8886ll1561IG1tbVTpkwJh8OpqakNDQ3xWTr03cTExCZNmuzdu/dYV/7evXsHDBhw8ODB+JEmJibGj66ysrJz587xC/Ko19KCBQsGDx6cmJj4yR2OX1TDhw9v06bNlClT4st3h73uMG/evAMHDvTv37+qqio+JL7RIAgikUhqaurmzZvj6/ZHvtgRjUZ79epVW1sbf8p88iysXr26rKxM8gEAJ521PgAAgFOZtT4AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAANUHAACA6gMAAED1wd9m6dKlV1999Y033rh79+4jvxsOh1999dWGhoajjt24cePGjRuDIFiwYMG7774bBMGUKVOKiori312yZMn8+fP/yYfzxBNPfP3rXy8tLf3kjeXl5W+++ea8efMWL158Yg/7pz/9qaSk5Kjf+vOf/3zokP9pYrHYgw8+OHr06LVr1x66cdOmTVu2bDmxB9y4ceObb77p6QAAcNIlmQL+IUlQX1f+y0uCcPWn3akhktC8bbM7Xq6PBnfeeeeAAQNmzZq1ePHi9evX5+bmpqamzp0799FHH33kkUe6du36wQcf/PznP8/Ozv7BD37w7LPP9unTZ8iQIT/72c8OHDgwfvz4IAjOPPPMadOmnXHGGZFIJCUlZdy4cV/60pd69uxZU1PzyiuvDB48eO/eva+99lpFRcUFF1zQ0NAwcuTIJ598ctWqVb/61a/S09NP1oGvXr06JyfnqaeeCoLgmWeeWbRo0SOPPLJt27annnpq4MCBCQkJ0Wj08ccfb2hoKCwsfPDBB1esWDFp0qSJEydu37592rRp/fv3Lysre+aZZ2677bb6+vopU6bcf//9jz/+eE5OTqdOnVJSUp577rk5c+b8/Oc/37hx4+uvv37NNdf07t07MTGxurp6woQJO3fu/M1vfrN8+fLZs2cPGTIkIyNj3759Z5999gMPPLBz585bb731sssuO1lHGg6Hu3Tpct9997377rsffvhhQ0PD66+/npubu2vXrttuu23ChAljx45NTk5+7bXXBg4cuHLlyvr6+h/+8Ie///3vMzMz9+3bN3PmzHvuuWfhwoW5ubnt2rV77LHH2rdvP2LEiCAIHnrooaysrCAIFi1a9KMf/ahNmzaeUAAAf49QLBYzC/zvVt+iFeuChvoBAwYsXLhw7dq13bp1a9KkSU1NTbdu3ZYsWdK+ffv3338/MTHxoosuWrx4cUpKSocOHbZv337gwIEzzzwzNTW1rq4uPz8/CIK33367vLw8Nzd3z549V1xxRVlZ2apVq9LS0kpKSgYPHrx9+/ZQKFRfXx+LxcrKyiKRSNu2bTt06BAOh7Ozsz9lN2fNmjV06NDjOerhw4dPmzattLT0wQcfHDVqVM+ePauqqt5///1oNNq3b98PP/wwPT09FotVVla2atWqdevWK1asOP/889PS0ubNm5eSknL66acXFhZ26NDho48+Gj58eBAEH330UVFRUXp6epMmTT766KNYLJaTk9O1a9fVq1eXlpZefPHFGzdu7NWrV0FBQdu2bcvKyjp27Lhjx476+vr8/PwPPvggOTm5cePGp59++rJlyzIzMy+66KJP2fmdFUW/mjU+FAoFQejTD7MuUj2m579d3Hnsn17645gxY9auXbt27drWrVvn5OTs2rUrPz9/yZIll1xyyZIlS7Zt2zZ48OCqqqoWLVpUVlYWFRWVlpbeeOONa9euLSkpGThwYBAE06dP79Chw7Zt20477bTdu3cnJCTk5ubu378/LS2tXbt2S5cu/fKXv+wJBQDw97DWx2fj5YdQKAiC4uLi9u3bR6PR1NTU0tLStLS0tm3b1tXV1dXVtWrVKisr6/LLL1+4cGFNTc3gwYPfe++92traWCwWjUbjD9KhQ4ctW7ZcccUV06dPD4fDDQ0NCQkJQRA0atQoEok0NDQkJX18waelpVVVVWVkZPzVfRsyZMjf9OJIVlbWHXfcsXz58oMHD7Zt27Z169YFBQVVVVXhcLhRo0aHHioWiyUlJYXD4ZycnBEjRrz11luHHiExMbGkpOSDDz6I1+whzZo1i0QiSUlJLVq0OOwdpJ+cyUgkUlVVlZKSkpmZGYvFampqjvX+2E9qk9lp4uiZx3+YdXV1QRBEIpFNmzbl5eXt3bu3a9euoVAoJSWladOmtbW1SUlJjRs3jsVikUiksrLy7LPPPvvss2Ox2LRp05o1a5aamrpx48b6+vrU1NRP7nxmZmZ9fX3Tpk3D4bDnBQDASeH/6+N/X3Jy8sMPP/yNb3xjxIgRbdu2rampycvL2759+4033tiqVavXX389KyuroqKiurp68uTJeXl5U6dOnTp1at++fSdPnjxlypTmzZvHHyc7OzstLS01NbVnz57jx4+fP39+VlZWSkpKTk7O97///fr6+kNbDIfD55133po1a8aPH19ZWXkSj6Wmpub2229/9NFHx4wZM3fu3HHjxh08eLBDhw7PP/988+bND6vHRo0abdq0afSr52B+AAAbeklEQVTo0cXFxfH4aWhoaNu27apVq2bPnr1hw4aHH344OTm5Y8eO8+bNq6io6Nat27p16+64444WLVrEg/ZY8/n0009nZWX169dv1qxZf/zjH7t3775w4cLXX3/9JB5pSkpKYWHhTTfd1KNHjz59+mRlZd1zzz2RSCQIgn79+j3wwAPNmzePR3vv3r0nT578ve99LxwO/+AHP2hoaBgwYMCbb75ZWFg4c+bMDz74oE2bNmVlZY899lgsFuvVq9cbb7yxbNmy4ylVAACOh3d4AgAAnMqs9QEAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACqDwAAANUHAACA6gOA/9d+vWIBCIUAFAQ/3f2v8nU/GLW4AZlpRCicCwCoPgAAAFQfAAAAqg8AAADVBwAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAAAAqg8AAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAACqDwAAANUHAACg+gAAAFB9AAAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAUH0AAACoPgAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKg+AAAAVB8AAACqDwAAANUHAACA6gMAAED1AQAAqD4AAABUHwAAAKoPAAAA1QcAAIDqAwAAQPUBAACg+gAAAFQfAAAAqg8AAADVBwAAgOoDAABA9QEAAKD6AAAAUH0AAACqDwAAANUHAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAA1QcAAIDqAwAAQPUBAACg+gAAAFB9AAAAqD4AAABUHwAAgOoDAABA9QEAAKD6AAAAUH0AAACoPgAAAFQfAACA6gMAAED1AQAAoPoAAABQfQAAAKg+AAAAVB8AAAAfMt0AgD+btuUaR0RVPd9vzjhfc6vPv2bsTXcHaOsGn+/o7Z0FKaYAAAAASUVORK5CYII=)
512
Figure13.Comparisonintrendbetweenthesedimentation
input (in black), deforestation rates in Antonina and
Morretes(ingreen)andthevolumedredgedintheDelta2
and Echo sectors (in orange). As observed in the Delta 1
sector, the sedimentation input is correlated to the
deforestationrates inthe watershed
encompassed byboth
citiesandwiththedredgingrate(also withadelay).
5 CONCLUSIONS
TheresultssummarisedinFigures12and13showthe
correlation of deforestation increase in the
hydrographicbasinsandmaintenancedredgingover
agiventhreshold.Thatisevidencedbytheincreasein
maintenance dredging in the sectors of the main
accesschannelwheremostriversdischarge.Thelags
between
thepeaksoccurringwithbothparametersare
related to the administrative efficiency of the Port
Authorityʹsconcerningtheresponsetimerequiredto
scheduledredging.
Itcanalsobeinferredthatthementionedthreshold
depends on the natural cleaning capacity of tidal
currents inthebay versus the siltingrate
associated
withdeforestation.
Theimportanceofmangrovesandtheshoalforest
indicatethattheirpreservationorrestorationmaybe
considered a Nature‐Based Solution to improve the
managementoftheport’sinfrastructure.
The deforestation rates of primary vegetation in
thePEChavebeenconstantlydroppingsincethestart
of the historic
series, in 1987. The major drivers for
these changes are probably associated with the
creationofseveralConservationUnitsintheSerrado
Mar hills and bordering the estuary. The trend of
secondary forest loss, on the other hand, has
dramaticallyincreasedinthelast25years.Thistype
of
vegetationstemsfromtheshallowcutofaformer
primary forest and is not as nearly complex as the
original vegetation. Considering the transition map
presentedonFigure7,mostofthedeforestationwas
madeforurbanexpansionoragriculturalactivitiesin
the lowlands of the PEC. Considering that
deforestation was
concentrated in areas near water
bodies, combined with the high pluviosity that is
characteristic of the region, it may have led to an
increaseinsedimentationinputtotheestuary,which,
in the long term, is detrimental to the navigation in
the inner access channel, especially in the Delta 1
sector, majorly dependent on the watershed
encompassedbyParanaguácity.
Thesiltingupoftheinneraccesschannelrequires
much more maintenance dredging to provide the
design depth of navigation, which is a costly
operation that also impacts directly in the
maintenanceoftheportanditsrelatedactivities.
It is
noteworthy that, despite the contrary trends
observed for primary and secondary vegetation,
mangroveforestshaveneverbeenmajorlydeforested
intheregionduringthe historicseries.This maybe
related to the protection imposed by the Brazilian
Forest Code to this type of ecosystem. Even the
expansionoftheParanaguá
Porthasnʹtdirectlyledto
mangrovelossbecause,since1997,nodeforestationof
this vegetation was observed in the historic series.
Shoal vegetation, however, has been continuously
affectedbydeforestation,whichledtoimpactsinthe
sedimentation input to the estuary. It is possible to
assume that there is an
interaction between both
estuarine ecosystems and, when one of these
vegetation is destroyed, there is a decline in the
ecosystemservicesprovidedbythem.
The data concerning the pluviosity in the
Paranaguáestuaryindicatethatthemeanrainfallhas
been constantly increasing in the last 50 years, a
phenomenon that
is probably closely related to
climatechange.Theprognosticelaboratedbythelast
IPCC report states that the Southeastern South
Americasub‐regionwillexperienceadramaticsurge
in the average pluviosity and in the intensity of
extremeclimaticevents,whichwillbeharmfulbothto
infrastructure and to populations exposed
to
vulnerableconditions.Furthermore,itisexpectedthat
the increase in pluviosity may have a significant
impactinthevolumeofsedimententrainment,thus,
again, impacting the navigation of the inner access
channel.
The results point out to the importance of
preservingtheriparianforestsintheshoallowlands,
where
ConservationUnitsarelacking,incomparison
totheslopesoftheSerradoMar,and,ifneeded,the
recomposition of areas that are currently deforested
and occupied by shrubs, agricultural activities or
exposedsoil,especiallyinviewofclimatechange.In
addition to the interrelation between deforestation
andsedimentationinput,which
negativelyaffectsthe
design depth of navigation in the estuary, requiring
the employment of costly dredging activities, the
recomposition of vegetation may prove to be a
dynamicagriculturalactivityinitself,consideringthe
opportunities that are arising from the
implementation of the Nationally Determination
Contributions(NDC)oftheParisAgreement
andthe
discussionsrelatedtocarbonmarketing.
REFERENCES
1.SCHAEFFER‐NOVELLI, Y.; CINTRÓN‐MOLERO, G.;
SOARES, M.L.G.; DE‐ROSA, T. Brazilian mangroves.
Aquatic Ecosystem Health and Management, v. 3, pp.
561‐570,2000;
2.BARBIER, E.B.; HACKER, S.D.; KENNEDY,C.; KOCH,
E.W.; STIER, A.C.; SILLIMAN, B.R. The value of
estuarine and coastal ecosystem services. Ecological
Monographs,i.81,
pp.169–193,2011.
3.MURDIYARSO,D.;PURBOPUSPITO,J.;KAUFFMAN,J.
B.;WARREN,M.W.;SASMITO,S.D.etal.Thepotential
of Indonesian mangrove forests for global climate
change mitigation. Nature: Climate Change, v. 5, pp.
1089‐1092,2015;