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<!-- Created by pdf2htmlEX (https://github.com/pdf2htmlEX/pdf2htmlEX) -->
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta charset="utf-8"/>
<meta name="generator" content="pdf2htmlEX"/>
<meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1"/>
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/*!
* Base CSS for pdf2htmlEX
* Copyright 2012,2013 Lu Wang <coolwanglu@gmail.com>
* https://github.com/pdf2htmlEX/pdf2htmlEX/blob/master/share/LICENSE
*/#sidebar{position:absolute;top:0;left:0;bottom:0;width:250px;padding:0;margin:0;overflow:auto}#page-container{position:absolute;top:0;left:0;margin:0;padding:0;border:0}@media screen{#sidebar.opened+#page-container{left:250px}#page-container{bottom:0;right:0;overflow:auto}.loading-indicator{display:none}.loading-indicator.active{display:block;position:absolute;width:64px;height:64px;top:50%;left:50%;margin-top:-32px;margin-left:-32px}.loading-indicator img{position:absolute;top:0;left:0;bottom:0;right:0}}@media print{@page{margin:0}html{margin:0}body{margin:0;-webkit-print-color-adjust:exact}#sidebar{display:none}#page-container{width:auto;height:auto;overflow:visible;background-color:transparent}.d{display:none}}.pf{position:relative;background-color:white;overflow:hidden;margin:0;border:0}.pc{position:absolute;border:0;padding:0;margin:0;top:0;left:0;width:100%;height:100%;overflow:hidden;display:block;transform-origin:0 0;-ms-transform-origin:0 0;-webkit-transform-origin:0 0}.pc.opened{display:block}.bf{position:absolute;border:0;margin:0;top:0;bottom:0;width:100%;height:100%;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;user-select:none}.bi{position:absolute;border:0;margin:0;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;user-select:none}@media print{.pf{margin:0;box-shadow:none;page-break-after:always;page-break-inside:avoid}@-moz-document url-prefix(){.pf{overflow:visible;border:1px solid #fff}.pc{overflow:visible}}}.c{position:absolute;border:0;padding:0;margin:0;overflow:hidden;display:block}.t{position:absolute;white-space:pre;font-size:1px;transform-origin:0 100%;-ms-transform-origin:0 100%;-webkit-transform-origin:0 100%;unicode-bidi:bidi-override;-moz-font-feature-settings:"liga" 0}.t:after{content:''}.t:before{content:'';display:inline-block}.t span{position:relative;unicode-bidi:bidi-override}._{display:inline-block;color:transparent;z-index:-1}::selection{background:rgba(127,255,255,0.4)}::-moz-selection{background:rgba(127,255,255,0.4)}.pi{display:none}.d{position:absolute;transform-origin:0 100%;-ms-transform-origin:0 100%;-webkit-transform-origin:0 100%}.it{border:0;background-color:rgba(255,255,255,0.0)}.ir:hover{cursor:pointer}</style>
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/*!
* Fancy styles for pdf2htmlEX
* Copyright 2012,2013 Lu Wang <coolwanglu@gmail.com>
* https://github.com/pdf2htmlEX/pdf2htmlEX/blob/master/share/LICENSE
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ZK9tdPPI4OlGELXuLcNDmBeszErZzvgAlkAVJRg5/h78jzn3M2HjtwFYmYjiU+xBBUIpS12CEK5a4UtGMxNmuqJbgeCCZJkjVIFSbTSi62YThO0uIkP4DvhzROU7krF8dtUUyiT/JfyBHX4ovxuqRqp9uHVlyRsQ7hs77a1/lXcAu+tLjoUT/Vl3FXHoqwEmsYwTr8Dm1SoGn6rn+BMS1gDJX4E45LgoMrwlA8zK9/iVq8hXdwEh/gkojcKhNlnbRLR4Boc9jsZ/li/xS+hweRg3VcjZNvS4YWWqHtta7oP8IP/SjazsUq/Byr8WtsRgO6cBbnxXSA5mqe7cVIpKEQxUSzhjHVowUXJUaS5T6ZKetlj65yFm2GwSGWCGb1o78FdcR0J/ajGadwmjY/J6YmIyRB8uQRWSvPySZ5UXbKHtknPRroB2b2C/ee6wk7/QC/3dfT70h8C2NwFyuTgjmsZxsuM79JkijflTOaoIkmbmA0DKf5H/hKf8x3YRzu5LdpeIA5ZyOfUT+NZ9GI97i3DSfwT/yHKJkMkKHEYoyMk4dlnqxkFHvlqkR1GOuXoqV6UDsswdpcvtsXPRzGhgfDq6H3Df4Nf9S39tf3XvrJZAUexXKs6K/Ym/RzDJ/gU1yjj4iMZqxZMpv51tL+RekjnWK0QveotzTbbC1uhKsNHwzLwtrwkE/22eSWIcAIJHPcRzbloYC2q4jmDuxmZQ6RPZ34TG6XUZIks2S+LJAiWSJPyXIpl9WyhqjWy2FplE45L5+p04jGEqcEfUyrtEYPa7N26icGm2cLrNxWW40dtlP2LzfYJbokl+2K3NPumQCBRYbFtPYN7yuLFke3R4+GU8IHwifD6rAp7Aw/9jf7d/0lRJDEGAvwBGNcy/zXYxNeJT92M8aP0I0e1vwLYmHyDbmDEY/ur1sm485m5PlSICUcS2QZ8V8nDXJQ3pYj0iQtclzOyAW5qsLop3DMYBfkaQlz2K4N+oae5bim/7UJlmh32zRLtyJms8GeZz4v2QW75NTFuqlunqt07wcWPB5sC+qC5uCvweXI4MiPbmjE/xWEl7Vqk0u3UryGHDW7rGc0VdZqr/xB46SJ3uIsx3I0U2dApZEsL8NtN9VF4iPxehsG31R03Ya+rJMt302wgfgp+w1aqOu1CLvkbfRqFpm2ytr0NV1kdW6rS5cuVNIndJB8hQxkSDpr145yVmiy7XcnrlsMYqwvKNNBfoPrDtTOUAfTRO1vUihXJEeHEa0Zugnj+D5YrvA5ix14lsx/S/KR4j60jfpDPc+5UtRIE3NsRKk2yuusSwr78SeSI6/YVFRIOdGYjmX6Isbqch1LPufh31IlsezcXtZmvJbA2SB9DB1awKqfkqE6RSrI0zJUy6+QKFE5glbdgntlsb3TNyI6UaXvihywLByQXtfiWtTRUhPRTKJ6zCRDdlAj8tiZ8TaBrElBoInk/6NUwDkYotdkjZZiqdTap7JTM/AQFtsK/b5sC6+5DJtGxP5MNcmMTI9BkBrEuWRWvBvpZOMTQGSJuxhUXf9v7falL/Dx4aLglvACniE6WVS3avZSFs7JMFkoc53X2c77+WjQ/e6CHy4DJR6nPTssfFNSZbwfI+X+ZplLhi+M1EdfdtXuObfSreHZ1EvVXI+t2I6/8DT5Pc+tO4njHKL5CLVnKc+IJNyNe5hdOu6nKs3iWg7mU0+LqJIl+DHKqby/xR4c4Ak1m3gs5L4SLOP8Cp5Qq1HB/t+AjdSAbdiF07pbX7V4fV6P6SpdinM4Z+/bTJmPDveCq8Q8jMdc+SY9f4dVGs19G307vd2FkVT/ZHYpee97fKf/Y/Qk7e1i7Fsj96MnkomJeEi+cndIEAz5H6/xCIkAAHicY2Bg0IHCGIYjjIeYJjF7Mf9gmcHqxibHrsY+hdOOcwo3B48UzwveTfxc/OsECgTThL2E64S3gaCIgEgKEtwjKgKGeqIhoqvEzogHSehJskkukQqRLpC+IvNA9oqchFweAspPUOhT9FMSU3qlvEZlmuoFtRy1HPU/mhlaCdp9Ol46XrpZelZ62/R7DHqMgoyCjDPQ4AuTY6abzOMsZliajMJROApH4SgchaNwFI7CUTgKR+EoHIWjcBSOwlE4Ckc2tHIYhaNwFI7CUTgKR+EopD8EABt3h6gAAAB4nKS9B4AU5f03/jzPzJbZOjM7O7uzfbbM3vYru3cHV3YAQUUpGhAQThAriMLZWwLGKGIDRY3YIBFsWDnAA1SMsaMBI9aYgL6IxnhK8iNGI7f3Ps/MXoPgP7/3f7DPzDw7ezf3fNvn254DCBwDADrTMBVQwATyz0BQaN1gop/sqX/GaPikdQOF8Cl4hiLTBjK9wWR89VDrBkjmGziZS8icfAyKVOLw7sq5hqn/Xn8M/TYAAMJMZTd6B+YBAxpU70vgj2AvOABosJmG/4N+B/7oNIVNyPQcvBtYwPkwCLwZ9ruOfb37QKGnrhZ2QBkaY1GlVGyCL0Ku8oFfkWIUzPd+WB+TLDb8/cESAOjp9O1ABgvUZs7qKPF80Cr7QyUAgn6KMf4JoSAj+DwllyvoQ4rV70NWs5OBjC8GYMjFS9F1V3gzE9mDrRN6Wyey+ztAudw6ge1heyD7z92tbA/QD9oVqB7xo+HfudjYUC+6OZk8X2ML5LQHbWyQ8aRgjMH3UN7r4r2H5oR8vtDrr5MRfk5Guv2QCCeGfFK4cpqXd3morzwul4e8AAIr+vbQp1BLQA1ohHPVkx4zrQ0/lqcUUyLcQl/susx3qX+JcJ3vduFO33rTGmGt78nCJtNzjmeEjb4toR2Og3VuC5RgGlL3cHf40FX5G/P35h9zrM+/Uvde3ed15ppoN3pS9SUKciIRlaM1fNDlSTXKoDEFqQYbk23shnvVU+ENNcDSIFNWRgZZNrsoS2VTLTZbjXAfKwdN5A07iERk1S6WnTIsyGV5kjxbXi0/JW+X98hm2dfsWV4rG8n7C42rjduNe4y0UWpKb/N2w+x1ZLE7YGZC7/6JmNadMENWHpR7yj09/IhCT6EDn5VbD/Zw/AjeMwLiwwh+BDcCsL1t+H0vJsDBl+tqwQlPSz874en4SadO3w5Mfd+DYt8BUMIvqe9gF2/Om5u1rxmgoxPfasW3CvjWbSCEb3H1vUje6eyAHXLJWCVbvegpFZVY1FRluMYmnbwNOjmpPCTvuQWxob6xiZr+7K5fP7b3g5E3TFqyZO4zEYb1WBxn3Dd59YZFYZ8v/ErLr45/9pyJl114/rYzrrhn1cIrNzvZG8aePcLi5TmL05e+/4ze3R7MG/C3HDup5eQTz502G4sfyGHaT6O/AAFQA+PP2F2EVla2ILCsS4jaAyK5dkkFtySJ7mggZKKgNaLYOqzd8IxNisxEZIjP1DQVAIAyMdag7MQrj4y+dGwKsEXcgupkyk5hobBHoAQpddqtQ8lBiLCPEGRCD5aAcqvE7vNiIZD2efcRCuDX0PU/khi2KjHUKfMZWGutjR9bc0rNmTWPRtfFn4VbrM+FNidfNuww76Y/Me8zfGXmRLoO1hvarGPgJOvxoVPgVEOHqcN6JjzbsMB6CbrKclXoivCy0Nbw89FNCRF29x3YYGVruvu+eiYkEroS4nXOgBymEXALIBZNumOHySEk1KwSDKbv/qAbGiv/2vTJyleIDHZ2kpF64OPbb/+YvOgvet99tfLPl16uHHh1HRFKul0T3tdX//nPq/GL6DKwHtPnBCybaXBgk2yxOsvu7r7v1Cw+ec39SeKj5N7wXvlvia+Sprg7KR4TmZCYkJwa6UicmpzvnC/NSyyTbGJ33z/Ui1zCDNcp7vMSZye/8xmMPol1+1Jsik/4bmTvZe/y3ulb516H740pPOeUBD8ElNkhBTxOO6A4K7iBk1MmaxdtDPzWI8esjhbzjDVhuCL8YhiFfVlBVgiZ1yjQqYSVFQqlSJmXh1Aay9uEHk3wJhzElO4hwtaDSewhJIbkSKhNLjBZOzuamyFe6UwG6iIShA4sBkqSCEO/LGhiIhCxAaUiaKinXsHr54UeF+dBxqfu2PbS+4/N3XGym+U8Zz34+o7Kj9C643eUPUDk5IWwz+M/dslXv35w93GTBQ+XGX0epF7bAbFmJ/LwC7ze67E8hPCKf7r5+PS5aWRGRAgcwAANBWgwIBg1h7xkivUXPH6/1xMNWcRoDdNhwaLQVSPjFcciEYnKQgjYrIKJ0NETZiJLIHRCCH3ZhLyEhWw3vLkrk16iLxP7XWd1hXpbW9lWIg4stgD78P+DRBaOIggdRBJOeFqsCkKXw8ybiZoZlI0tIN339YaIkNyK9ZXS90VXzByXBvQUrKoavNZ4LfN4xdthQ72nn51dQ9iZRrqauf3TC9+54op3LvrkLu160Yd33vXhh3fd+SH9xY/nE/3y8OtX7L3s8j1Xvg4/1rl5zSefrCHcjMASvLYFzMsSiIBd6jyLuMqN6tFodDI6A72KXnW9KX3Mfyx94v8/3s/D/xbtUiAdKKLm0Hj/ieFZ/lPDC/0Lwr/w3+xfFVgVetbgvETcGniZepl/I/BGyGh+hfNFItj2c0HZY6Jlzmqb4mtZA+AiLEPd8HPVE420wJY1AlwobBd2YnVEC5KcfnwIk07o6SEE6Nmn2QW8wK29mALDFM0GUTBitbDRL4RDqLvv6wF1D/F/OQSHsCbhWZ03gUnjXBOdO/SI+Pmjp/1hlMvBetnaf17zYWUPdL7+B2iZJr23cuVuH7z/wdfaG5wSx7H106D/jWex9vifa2568vFbgKYLPsC441TMm0WwQ02otsmGJYZrbdfUrbFtsG3MvJTZnbF4MMywvc6yUaaYB3WwrhvRmwGI5pHZ0A1V1Qcx78ZroiDRkZKDAPARKZ/zGhmzJYq5UbU0giyM+HZqzHmnai+4Vfci9y437ZZKl2yBbwENtHRMONjRSrh0Pyi3lltb8Xm5d59mM8EwzNIxFLyMuUJ1pDN+TNJsGGT8qTAEGZi55hqMt7gqejkM1LTo8u8JQfJmNElYMQir96IC1LRp70Iy7thMxs2P33rZ0ga3VzC7fn3uBZfBZZq6tfceS9iS6Fe0hXDk4vn3iWaR5z2UZ8HYxWSGyP3PK7+gf4F5MwkaYEitGyssEtAn8ruJr+V9iR/lg3Hjeanzc2cUzmi40n51qrPh5tSShvtTtzWsT61p2BpyIDPRB3M1FcEYDGYmikAoU+eNsJ4IpqYjtLJOjlgyMlipmMwtyAiNsCYYgRGLhWXWME8zlJOZxMxmnmJ2MgbGV8rLS2IrYmtiT8fo7bGdsb2xAzE6JhXTpw9jV01fENyIiYEVRk95H1Gr5VYCJIfrjI7DDOY24O87CHx9BzekzfXdfd9vCJlBN77KmmvJIWVrIJM5sYCNX/OQLx2/wFK/0uAwn6MM1JWFhzB/G8HOqFTkG+qHKg/qGt0Cxr2LZk34hpz+ffxlSXHpe0/8+OMT7y3dccstb755yy070Ov3aDpjy5TR2dNqMDr1whOPT486tAXCTZsgqJxwx1tvr7zj7bexLEzFsnA+loVmeKGaW+X7MYJo6IZnGi8xroB3oDVwLXoadiHLOuNDpo2GTaZXTR+a9vhMPjPn0TS3UwgLSJjlFQSPN8qlChrsyc6qzWYLtdEUa9E1vh3aZzF2u4WJsjqKtSZmVVFscz25jpUKdaVSfV20GUZSAZlO1dRgcjcD2sRazExE2uOF2FI8qFpHAjlSt712Zy2q7YZ/6xpx7On9ep/IEqtJVFXpk3893FFV/uH6/yfeesaIxkzBFgD2vdjljxcxotm7gfMVQSYzQxNI1uc3mIwJv0EKQ58poIsklknMKfyA+TD2HdwUsYUFHQPNgB2EBzhiJrBg9iPVAdHV0azpiPl+fHTy5JUz5y6bdVpYwp7It8SAnHbtJbNGFRbMJkxR0VhjtibZGB39OO3Yscsn9f5rQH6pmVfmIpf1ft0/oQMmzW4/j/lBNHDYlwyAxWo6KtVLqnSydIZ0sfQryeSys9MFjGeNNma6wRC1iQHpTjfGs9QrqBvesTlgtNssAG6Ds/HnEXZHHDRtiLgnCVCQgict1tUeQatsr0an1vJ3PYe5Z0PctA7ojpVcw7Vag9y/BGjF1YvhePKb93o1/2z8P0N+X9jAffRR5aRD/xiiqzCi0fX+dvy7rcS8XkLdW0AKE1O0l1Pd+CjYtKM6ibeWz3E95EIvF2FaSCfyqXSxpjQiXk60pcrF+cL8mPVsF4y5Gl0oI0xKfZT4qPh14uvij4kfi+aRiZHF+fH5pfXC+pgxXorFgK7MrAOaLEBYfyMIw3CY/FAbWyZHlcUYNDwrFg5HY9FADOQaNJmprR1XrK1tKEZzxRJn1b6Ro2BxOKyWKOd3a96E0xv2Iq93leD1uoWoX3BlFTJ/bCo1K5FKKYloNhFPxOORUlEolYoxwcW7IiAmABADrlJcMMRgtCUQcLf4jUpLtqEll8tmkbWF54C5BSKLQNxJZmEMxu5JxKeWtsI1IIFn7IuKS4ooUqwtzilSRSKTwSYXtoBYBy9iljCIZSJMLT4h2tjISI3b4P3Yz/fCM6vqtlUHZuS052APPmAg24p9xh5dXlmseonHTsDsUjqfGTMLi46rb3dXqLXs6sbHQJN+lOr1oyenHTcINWUsj/hrBlxq+PnLSx15b8bwc/ZlLzAPyPLfC1iyh14eIfZHvxcL9BG3mxxsa2u/cnD17e3yxYsCVg5dTq7oIkoCH8lDYS0BhyLJGEaSgjmxte8f2PP9TlcHnR0E/uA78F2Tq3d935WQihFdW3QCAuUzg0Z98AQOC15kIAMP0xoQPjfEcXoFnpXRBMZOhOf0SjdcfTo5qxwgsy2VX8NLKzcOcaP+DbNEhMh55ZvKjH7BghdpMrUNy5SAZcoLOtTiXPdF7mvd2AjbphPshNHSdIKUeK/7To6LegEGSABGOJadxG5nKVaShuoEog5+QhccVQ/cNlwL/INogX4QPVS5QeDGz7odY5NxKK22OpuczY4RzpHOVmebU3WOcY5leMXWaNvo35Clk7ARoqmBuaa5gYtNFwcMjab6wFjT2MBUk6HW3NSmSeiekXDkuPaRI9vao01uJ5kKRXg4md/F7+UP8DTgWV7lKX6cg+edjqg7EdYMJoiyURQdF4pGw6FoorFWn2xgG1DDuEJDQ20h2jhOJZNn7RkDx4wrjxmjlqO5gjGk5HM1wYARmtJNagsYZ0zLlE9mGMrU1NiYSLgtdkfEI6rhUq24RETiISUYiiQVcq0sUZByqB0UIuV2EtYB7dvbd7ZT7dKx6Se8QyII+CTTOnDA1CASqaMgLJ5cNZ7DjwBHsZo/edXReTSjaiR6WDOqhxvXqnWN1KS8ksVGG6yJFJ0MQ4NRsnjCsMaQDkOvzUesLTa3bCuxuNjmdnRgs+uvytooC7D0fQNo/DL1fYx/1sfYiL/bj8Fgp6ZeTOQJfO3Gbv1InmQDPmpPADtcbi2+pPlzAyGljG6hBwx05nCLXQVzgxb7y/MWjJorN180cmbjsccSTr13YkP+7FHjtNNJdbls2xht+jMy6HdQc6deNHbcuLEtJ57au4lwM/q1OmXsWb3vaue3jZkWTJ2pXwyCck0mF2A+n4b5vBkuVZveM75nRi8bXzajB80bjBvMVKdpiQmdYTrTfKafute/zoiuCnfBjYgKhOeHEYA0QiEssTq6c4fdyD1Ocru9UpQ/HN3pZskBHNAxrmqZdHTHggSbQIdBPHtpnA7x6luajXAr3Asi2Lt3BWXahNEez3MWxhLx7ZGgRIwKqwG9FbVrMNCTCMobhA5VjKezZ+9BbDD+G0z3/w/hCf6AwWwyG83IGDBglvObgzrKS2sor5/dNoQF/NG/POMXdAbrJJGuzo4OjGQ0/hlEeoP8MYyPjgR606bfOmPOpOaZGkd8ShTduF+e/7MrO4fivCq3LJ5xTCp00/G93w7ivBlXjbmu9+9HsAjGebf17aFbMY9YgQcepzbzIi0KHpF6A75hfQ/9yfBn03tW43mmeRw6C51FzzPPs8y3L+DOcp3tMbtlyikzlJUx2WRAZMYplbWjw6MdVbu79DSALKgFczAM7EZLVS8vG1V8m1HF9yw0bjfuNO41HjAajN3wsy4vVkP9GB6buJ7ejk4Cn0kok+gezeGyDjhcIna4hL6DG1nBIXi29n2G7e5nXfYQFxr0rTqIMSWirVpFgfWXBTJwJNzncobKVgEPZgseTGTA81+rQYz7TIKVx2/iQRQ4T7tABpfgFMgdL6s8PrFYMGQzkwFRznArzOiAY/BrBiTRzP5oxdCYT2ul56WXK99A/uWXoGvqp2vWfEpe8KkXKwcgt52kRw787oG/7Ln/vr17SKySxCeoyzB/uVXhagfMMpMs8/kr+GX8Xcb7XaaA7kKFX69iRr97K3oSQyxVZapQMJMgd0yqmRivqUnEoxmrQ7BZLYzZYLJDFxAcrCWeaAEZo6XMYvHDCJAAQb/FaTpgQiZfDgiRuDM2OaY7zwdixpiU7b11UAT1VIueaSFRSCyP2DLooWZiJUaMOJqoHXbxk2KHyc5Vyb7JJThEPtCvtXVp0uSlP55pOkrwowGhtQ+OPeEayWVxuGJFqene7fBiDS6cT5I4O+4lIzV39x1Tz/K5sH8T801fXykSgfHwnAc9N6BTd/btoSpYXo6Bf1dvEMqBUYg/EcwA8455PPJ402+a33K9MfovrvfF99v/NPpvrn3FL0cfch0sfj+at7qMoqGdGR12uUV3u3/0TdE7i9uc1mmuU5vnNc9vubL5Fy3Lmpe1rBM2CJZbWzaF0UnmTCqm1KltrUWf1+kwuW0jQLG+NkbnG50OG2UBFCe1tLXJnDzG0g1LG6lIHua74V1qQGmUZdBimjpCnhSaHVoYokK+cXVTYi0pt6wSuRSxBKozFqZgSho7xkQZFYtsPa0aNyU+cxnqUSmY6WF79XxCb28PIFTuwEMvN6JQTewMgAEt8jyCxJuxkmxuGs1HAglXwtPuDoMW/4gwbIrggR+NL8WyNww83va2kcFWrD99La3N4cYwEEZxmgEnylwfoC5Lml7tp//GFqFoCTzX9wXw9H0NjsHwuV1owoLbFRVbA4NRFYKSOzs0m96MpZrBYKdFwEMzkXEv68ZXeDiGCPUxAhbjYwTsegXI98ErQ256lqgygQxDhBrrk2r8XOc3Jano2SSPiP/1R9UELbjept+K39OCmKViUonn9fgbdbWOoklkvfnkpbdMbBlXe/1Tx5w++w+vvbbY7LZjjnPxkie2auHaNSedXHnthhN3r3ySygQxr64I+USpNdk8IlNqrQk4Xd7Y1ced9/BZUcHhCz2BGdidD9eWrzxmYqEQKZ7bumAx4dfbsX5voW8HWfCGGv/RD+1+nx+ttWyyvGR517LPYrjUcb3jTsdDjlet71uNHjM0ER1CwwtVt5mmTeYoZAXGzTlZjhcMki3VDR9UuVBLPG7C7gQw2mTJKtxAd8NHVSGbNTMRRX4VBNhAJLAosD1gCHSjz7tyBF6SjLAW5DyohYMxmsS+f4+eqiAcdFgyikQ3fX6L1epjwsDit4WBHt3UUkYd/UFLmRuWvdBWvjQ82im6McTQ8raV5ks6p77aJNhZrz3yr86VT96rQS5CDGouEe/ed46f2xCxS5zTLk+48RJUIJPfk5vIOs7E6ziDmguSWBfbLPQmEdWI0Gd2MpoOthXMNhtjjjr1RIbVP7GayEjK5DoH4jA+LhKPy5FoEopOISK3gKTF420Jh0JOM9PCOo2CTFkjEQA8IsE9TIrlIuadJmgi4a2aw8NbrSSpXdY0LhGW3taq7h3xXwGdfoWrWqBK1G1kWBCLd9FGQ8JFc2HAGwV95XUxdFXF8HngxuInYqPL931WjdhrSdjkkOXXaNM0eNmfg73+8devUn+me6DnTnx7vUaGbzXoctV9Y6ZfgkIaMW45ef5z+qkewyE0aMH28HZMgxi8Rm1dD9fzj7uoiCVijdgi9ogj4oxgtNgCm/mRrrPROdw8YV7sKXzTYy5eDcOYl2FHTwXaiLr7vtxITrCh+XITObGwhExuO7Cz9oKdsk/k7HaWi1o4XjeyeC3CcEhwhqE0yGs0zkJGI4Wwiwv1YEzZq0djJg4EYzgEYYTnBIxshRgAEZcguFyCi4fAUg27+NkWC9ViYYyxFqEbzletLtRS4MrcUxzFbYXzgQsyql3lYS2/kF+D3Uqafx4+hTkqAWU9oEKCKPsPdvSwB7UgCpEt8r/cWigsNeQzS3/+8tK8lxyGBUE6Do+CDL88/G1yTfQgdsJJjEKOHR5ugA2Hz6Cnb608fIrmjreQ8SZYTMD8zdpEK4lYTqXshMIawY/VUWm/j97c10ffgWldQ01Un64Rk57rqcfEdZ5utEXc6DEDxKLF4nLxKfEFcY9YEc1r0NNoJ6LMtNntpb3uGpSia9xJTzPd7D6OPs49jZ4mTHdPl6bXnA3Po891n+M5Rzqn5ir6cvfd4l2eh9B6+hH3Gs8mtI3udj/teVZ6tuYN8TXPn8Tdnr+K+zwZq+gXMygjZjxLpaU1j4vbxFcNrwqfiF/CLz3fox/F7z1cjZfhNP7Co0HjL3xCa/yFT/Q6AAc7UAgguOUkmcouikMQj8TVOHWAnK2J74pTi+JL4oiNT46jeHxVTTyerInKNcBmJB9IzWYWM8tJgiPMTGKobxn4FLOd2UMmIMOsMjCM0RC1GeiIT+PbYLAgBYM+KRqRvHci0RPp7huv1rtpKiIYaDriFgS3W6jBbOmVMMdKCCIKRrwefI69BgSpiFvEd4hoO/bTPPBizG97SQAF7lVjNJgCITWFtiRbZF9LxNViN7bY5EjEbrcZF3qh9/cSJEkwBayU1NqSpNZkipKaSOIhGMKD5MODkytKLeqcGlizDT6MvREPvEn1iFORWjeiiMh9iNyHVJYrom74sGo3ROa4ofv3Ar1SaDEQB722RA5dzSOK2mVGv8Q/Rjvi76Ad8ee1I/5m5KjyoqdoUN2lxYblBgQMkwzI8Dz8DKSGyNR3HR0Dtr9nn8Tu6/CxveSi17tfYns7fN4e/c2D+8mbwFtu7Q9danj4YCu7j5z09hAZNP+cfRkfvYMn5KhLZSbz08HJjo7OziPnjpwckM9BP2lTjVky0+wgKIIXyiYrTFL9arkqqX7Y4IeHzVE3nLul+9wnU0RcvyDDeXd2ndm9fD6Jq+0n0LkGokDvPjhEhs9GQu/X6J4hcgwT6Ba0g/4CMGCk6smCqzGRTfRmyPwOgQ3wf5wojBCm7AVdFgjWbtGKx0AZ4uU92EPKtnoIpMRAf7CEbOtACRn9xUAJGf6m52DbcI4BaLVv454xYrNp24ggMNDkhAIWowGfbKYo5GNMZG4zBJJ50lVDysa+w46MFlDQrWldbX9N3Dk0OBShXjykGsCPIEK/SH4e/FvfZ+gzgwFwIAwmqc73rZ9bkdlkASx0XezDP+BZ1WUHPqv4JNsOLe3BJ+FMgI35c+h4EAEVOFEvkuvZt4/dt4/kGrVQt16xgX9dSq/QoKpFTW6BGhYtQM8qyIOxE0qgQiyWPyuZaWtPk4G+vffUiM8XQQ95rdF8PmY5ZG7LZFvb0rlW8swW9DD1O/qPwIyfes4zDkM3uh5DAAvDYJG2fMBsRWuBFb2g2iLcdm4nt4f7ljNgAyQChF7oMsMPsAu/dlOteaEZmZ9DqwAP/g4n678HJlYv/m0086MF9UmoVq7+FoMn+GeNM0YkKWKE52inXl/EQP+x4lPCYQXu148Aoo7KIeopzDN+MFlNpmxpFhk8DpeFF41GA+sRXe52l2ECw7jWOOIAsJj4UuDNrdCABVfSswsTeg8SQdynJdQJLNKy6Vr4uOiDA9UuyC3wHrGaDUcK6mh9LGlz8JLpgtNOu8Ak8Q5b4hEV/uMiiODJMauXs9jerHSvXVfpfsNm4SRrFI6vaPWRucohtLj6vCkGMT4JST6aPDPDGz0iazDi57VY8GPjJ3ZihkHAF1y7FU7of2LiYR3cp2E6/MDDnlewwIFqNr5UREmdJzwiL6LF//F5/35Rpa/yRNQm4ed9Ax63dh087k38vJgjKpu15wVbkYl2ocVYVnyqDbyIn8aAJPqM9UQY9rH7QWECKdx0yyXadehhtPjyy/Hv+HbfZxQEfwd2EMA8s8FspT+0So7zt8CQXsVASs7wpxLDGXVqvHnySU1k+Puk5pETyQv//P1906ivDOdj0p2vjmQYEUoM1QxGMOPg8cxM5jzmUng5s8y8jLkLrmLWwUeZzWAzfA2+wbwP98O/Mt/B7xmPlYHWbvj6JsraDmYy3XADfqiZ5ucLFKQ+4Lrhtmee8xJY1It5slqH2tnRwQxokWrcgNrbO4vzc5IFPWgVHJxkiP97ekJy2tyGRzwOyWnFhPoc/95fYjmXQAE+0cUjS4yka6i+gxty5tQoBp/X9B0Eyb5/YTz8L4yL/7U54GAcZgci9UFs3z82BB058ol03z/UWMoQcIQdUf58cyjAgzxMGuzRmENu47NtBt5gsPvasIy9tbku3uaQan+zFRoxg+j1CRN62O/6I2F6KZ9W36U73KeiPKt4JY8kSm5JkAzGgD/oD/nDftqYVGqUlJJWaKPVZrExNrPNZDMYKSXKxVWMRX0qzBgTKsjRBRXGnLIK/RIeFFtWBXmEB2JRdE88jb8y14B+JxsOrWNoJkE2NxdySWUhxHnKHBnEUIgvR7v7flRVfJIUAhwe/CweJCcePI5yjAxJQbTjMzxQAr6PCvHWcs6CB5GcBQVJJt/ka9WDT5yCJ0w+FS4jC8u1e8gAM0d+6SF7N2uqBoaS2CFnNbHH/rhHNBWr3jvCvjxx3rGnwpeoL685657x1+aDY50efHbCL/OhY1hxypi0VDPi2FvWjMl4a0Ycd/Ma9Kddlb8/cHVLSb697ZSLdkGWnEdvbz1l8WVvt8WkWGXvi1su+0NbVIpD+UU937wPm6Uv6e+xfnhmA2/2d/d9j4GPEZgZv+qfzE/204xzK3oU2OC9KsPabE72BcaMyIwBz/BaidwLZslLVJXLxPuFregDwKFzngUGxmyTkLANXYM1ugf9QbWAczgOnoOtEPs8WgQC4DfwDzoPEWtDXG7dRyj36KnVo3uIdbWgQ6PzEfk2w0BxLVoBI1rR0AIN0kcq3wiMU7KYJfr7H2cNpN1qTzESn9rM6PWXeC0+wPKUgU3PoOmZ6SqbsnMJOmrx+4W2qMFqAFuwqbSAQu9bDeWehgJ5yto6/xYsXn9Rs9hbPc55peP65PU116ceqnkotc22Mc3YeYtYsjWn6VQsHcoIyVBNzCZYCdNIX/E94r/5XpGuMdekee/oqRlt7F/eT56tri6Gf/swRrFCO9Z1MzcyjMXm64Y/bCTPBLbhJ8K6AM+bP+XaEqPsaCHIYaw6E4Tw/VZ0PsjC2/qFlf3uIJFVDb9oQVG2dx/JX+prC8jaQoLSABbcQDjOe8VERHHLXhW4YpwKPWFBhXwcD1XBI6msqpSRmGdmRpPcX8cpl+JN7aikZw6MVTNRVW0OaAKmXnSd5kHvhuAfnVPCT151wWOSkbGxnGfeltPv/0yZeWnlw61TZEK9S67e/83CcyfVLHjoFx1ek8XD1q497eMbR55+0cWVT36D6fb7vs9ovFYAM0TXgmYISBFsQ319iRsZPz4+PjGm+UJgXCxf33wnvbJ0V/O60kPNW1xbPTtcO4S3PX9y/dnztevfnr4CRz63CfvF8SLXjQkawCcps9OaqeGoAn4OLzDEAkAKRWqUrNQNZ3ZFIny2G97SpbQ1OPBxE99mjLU1dkO7anG3UYHACMo3srAVUyGArnnWKo1oMBjtX2+FS3RaAD2WOWHfvonsfrz8E1iCUQhBevfx1SgmVqR6yawHn2nqNFAsxRMugTYkijEVugxuFcZLigoFmleBlmTUMoz40NzR2QyaO2E1+KcMGGct5pfv94c95Eojkh6iKlYRiJFyXXzlP7sXfJl3elhWuPeJ2185fXNHyCdJx3WuvOfqabdnWc7Keaddcc/qt+ai9cVNc3/9xaxalme9zoueXXTCip9p9ec3zjxtRWtRYDxsTdvU7b+acpeGh98ncoYxSRDI4B3Vjm19BIVkQzAcEPHC7t8cDL4gOt18N5yj8g7HC+6ILJ+DKAFhr08OR/DSP0tRtEEO2UP4fANwYMOEbVkwQGRBBE48J7qpbnSt6oQGxznBYBg4QxDLQ2grugDIcKZqxYIEpShNu23Ykv0REyQ+QJDOCb2k1K6V1P9glMa29pCTb7SwhQYge1u5EYal+YxWuHFYFYCzrhY7BCXYMJhzPSxpJsEYpKjed+G7T43TMmXaWHmdjPdnK9Pg7NOp5KG3yOpV/jlQxzAb7emVNR31MuF1vHZZ8Bc1avUzgSiTkkZ6DbnUianZqQtSd6fekP7k/ZvXLBFGFgkju/CJPxIzC2wkLoZ9MByUwfN4qRJEneD12KcywTaatgAl4eqG/0dlPG0WXxtrIvHW60AKLdiE7zwnEe+Gf36WlXIJ2tLPxoOrNuGgVkHb26GzMAG2BexeasWJAy0WGgd7vQEDEzBg6+5l8OA3BlUomT2D3IvFOJPp6NTrzvoR8HDuHWij6DcAcPH4G9oeeO/AxssumKgqXpZz/XrDyhcfWnLttRE7BqPjtSKz2ytnhcN/2fT696VEkyzyEn/LGw/f+sRY1iuiXH9tGeTx+vqwLomBWviYastHhXgxGsqE5JCyte87APo+Ux0lusU8hj7BPJU+1WxM4CUmiaFI9RjVjrFivLtvt2ohOgR/Om62d+NPLqZp2izQglmhFXPaNdJ1gmuma77rCtcNruvi21yb4h9bP+b/ZndZocFsihgVyRmPJOSzImfIV8hX1FxUWFTbFd2Wft/2mWW/jT/VjEERy/ERlxB2h8SgR2K99iiI220Jq2KBtQWUz2LTkjJl0gaP0WGP12E5Wbcp10ZRjL8b/kUVw22CIdnG2L2fGttAmk1H0rVpOv08ehvUk6AwsKGHno221TqgQ6rbBpvhNQOQr2MCMSK9Hb37Bhtr9uleop550ZVVIhuRaRfr5Jy8kzLa7FY7MmbptAojrmg3fFx1A8WCsV4iXmPGkxlDToWyM0zescKEPamClCmpMUZ/9QRGekS7dWpWR0NTuv3JwKHZNqLF2pFWC9FfTQwG0x0a88AFE9eddf2uFx4+//nGMeXaNe9dPaXZK3J2PtX2+8p2SXlw4aLVa846/dRW5Lrogj1r7/rh+pue+OMDN8xbfVbUKfEei1B55gv5nc33PXXztY//rAnL5bt9Fep9LJdusOQZhiIW3IjVV1oLwb7A2Oz2c9xAcLuBGzu0No/VbQMUC9E5VgvnZC00a7NuxbII0SMbPYwkfj0EXu+boMGisqZ8sO7pL3HhRix15DMOooWGGXDsTpRkfSHaoOyG/Wqduqb3IaJPKKrypFl08F4jvUDRBGP19T++7uO8rIXHmvgL7FN8ofkUCVAHl6rH8A9H3wTfgG9stI8OujO5aZmzkMHqoL1+h+C90XsHvMd8j3VlcnXmvtyj8MHkJrTdstW2NfO25c2M6wq4TkZ1Qg7DnQ2BWKi7788bamP5rX1/xs7I9xs5c01NnMyla6Jb+74Gib6vNiSjMsFGfKZGNcfaUiljsM1lKLQZ7bFu+BHGYymRVdqoT31tZXGSiMRu2KNaGyJt7KfZNkaqP8wt0Wv3tE6vwv7+Sv8ejTVrc3X+MOemzSE+ooKAgDVR3oR9iloDNqZhDuskvxsPOXNBBXXYARl0NrQCniM8DdChxbC0vF6m78su7C3gX+TLLuxEkKNai30IgxdfGbz4DJIz6NXmBFvZ7cW3u8mcm8y5ydww12HGgBXHWrCpXxlqcYKmISn8YVXYrnnn7V2zZu9582elR7531693j0zZf3PJxb9Zfellqz2PL1ny+BOLFz+Bbmp4eM6dH3985+yHi6URJ829cefOG+dOHvnXBffeN3/uypUV08K1ay+48JFHsF50Yb3owXyRAA1wspozmem0KQPyj8W3xo0KUZKxLB4cXjzYHaH6oi2Kh3qxIZvMugkec86s+5z/IfY/6YN5w3YA64iWJJ/qJkQXMf2/AvV4nXL4U0ZhU93Lde/W0aeZ7XGgOGxJaw2Txt4hPrMreMJOO+OpNouB6DPVUsAKzSK3iXZlK9ZZdvSQaom3OX0l36emtuzz6BFQHFRd7EEtaYxZ43Ogc8O+su5t9FcGaNyRTOajMdptd9gcyMhhUONiBZZkntIM5pEaK+aRpBJ1x4mmcsE8TZxRcwpPOvAQY2U8vwnkjIUB3TVEeYGODFFYnXBAh+FzIqTVHKzo0fOFJj1n1W/1QKk4vCuK2j6q67RpD87ZvubC54pjRigrZ/3ihlNH+LyczZNseA/WC6X7553329+e3XJRg4xevejiM383/57eW5c+8fmGSyffVShHWS/nsbpgwxfpD3es3HjLsi5VzWA6a7EUai6wY4+wTmWcG0SreQMw8tugiHUCDcVNVqskBQaDK3qJhSZdWPUMC7G4jhZwGRyouZObWiaSV+/ygSgMscPNfWkKaM/hBdNV7kXHLseH7F7HX9kDjh9YkwcDlce6ap3Q2Q19KoOf0Pk/7O9EuhuKqt1adPzRKULxYwkYq89J4rYHOw4Sm4UhXQ8+1SNYwx6QkgeUJZqSaJ40uQkPJ82C5srnbonzRoxDHvatSm2UD7ltLoJnOVKzSd8O0iAPN6uZRg6rZ397til3LH+878TsuBx2pMXZvtnZybnv084MSKezeYhQjmT21qqifbl9tR3tsUN7SkvtBS0cH0uRtxyK0pBWlFQ6GEtnSV5vLcnrNWhGJcignOTSpkTxFF4UXXxQ4rlogEwdFwbhJeEVYWpXGIZT/nA44A9G/T5fNp0O+X2C3+/jOS6EchhT5+KxmIUxAxjKOPPhPMrnGSmXVXwuxSch31Y4HTuQ7aqQVvyk7w9w0OkP+/f6D/hpDCKym2uRwuUUfitsB1zfi12chdQivaiypBWUg4CbxH3L9XE0h+/tKoxdMJAq7sRCQfxQ/bS3mh3UEsWFDi3Mjc0dyU4M5iKGZwg7fzpF+P+RQCSfNmGTSl56Izh1eEFyf8Lw8EplK4xR1FW9H3b+Rkvdv0rGUfAiLRsPH4b3jNKmXyOAfs3KL8OfwqWVt/uBvN6K/eNLA8B+KTqj936SGZiGeWgG5qEASIJ6eLb6/FPp9ZlXLa9YP7AYlqdvzNwfuTexOvNkwnhVfHHioswlueWW5cJN8eUJ81T2LHaxZRG7iFvEL3KZxkcmyMfHT8hc7zDUO1siI+WRiXK6JTPWeSxrZgpSJCD7E/60vxBzpjPmK9jn4q8VqHGR4xOXRq6P3Fh7Z2RdZFPEnDVjVywDQFBEZkMGwqC5NuKgYjWO+kgymFLEpGIOBUN19fWiGYnmWMJpC9sKtrJtkm22baHNZOuG16qpXAJwLIec3AruRW4Xt5c7wBk5XzFZg50xEho/gGGT1DD+iiGNTtVsR4fmhBHU09+ax+r+cDUwdHjpNVbZoXiWFyxWl5JJpIVcDiYssRzM8qkciFuVnF5/q1tvrU5Dq3jsSAzrqTcRI4s1QDWa5JLrm9ohwYsydjPIGda/MgRaeQBi739l3bVXTl53eu/NesF6avaktmPuuKzSBR896fL2GQ/cVPnjFJ3cm668Z3bhvtOm3DRXK3BsjAXmN0267pB43PwR6uXteBEW9+2hT6SfAM1gj3p5ToAFUAaTAGUQ3eIpnrOEM8V5+UXCReIi70aPpSnQWDteHN840zOzNN9zbum6wKqCpaHOGfFHtT5e0dNUH4mFSC8vb41tzPCJJutNdCiRaaJolGEcinmOrCi+kX7FWReuK9SV6+g6acTSIUTQms20qqqyHtPVV18zkdV8RbWJd1jZ4xYQwCiPEwCBcsG+rzeJoifgFYfWPWFJL/2nMiXyD0+Bw+plknmqDRZ5Upf0ob6DAedBhlMuvuP0U1RldDIA2Y0L1k/m3LyYOfnteTNPO+60ZfXXfbF0Fx3WMvp/Dfu8/imjZmTCuYmzx01f+Vzlb6fNdoucpzCrI+Y/bv1t09ZfDambsP5+AMvepVj2gljV2VT5Vssy6w38Mtcy4Wb38vDyyI3yLckbU8vTNmsNTJLWr+6+vSqzKrlJRmPMniDRt1ZfCvh8QRD0kAbitWrJkNKCd0Ezl3eGQ6IYDHnMmRDDoJAZxRUnNlzOiBM5fflsKAQjmNoISLltcAQ0D/pYg8JAzGvrYNvJT4ZGsSwUI2mL2+G0O21Oq5M2KolkoiaRStBGFy/wyCgn0pZ4HkbcsTxMODN5GOXD+ar7TULp1age9rKGygcJRRO6mQY1IZEKTKGkVt8ow6BWKANfnv9UflIqeOF1Z/yy0qrVMcG6+Vs6pPjo+M0nVXZWhWJ68+z5E+ZdfM0/Th1NpOLG351298S2GZOzx2N5mI7pUcD0KEFe9c0OLzQuNlKc1ZEhW29EA+FSLBYMUIxWC+8MlclRzZLK3VOqe3FkyF4cxTxhcFSXKZWC+WSO+LconVGUYA47mAvUVh+CijUWV3wloCRCAFjJxh1RxRmA3wb6AigwilIAAycza5hdzF7mAGNgSoqSBzk2h3Ld2CKKiUQcG03mZFeB/5Y/wFO81Dh+YX8BKunTrJaBs6SLCL90bdarh5DIf6y9yO4fHbtbB06G7gqSyfS/MTBPAt+Qq8ZY/8POIFy/2zd4T3UGTkXXk2U/dPqQ3QkuIjO9D0Et+kGKzVCpEtbsWGXjoLWq7CEzb1dOGFrOrcWiVmM6XYzpVAR/V0+bY4BOxpZh2SBDtkeJRoP+hpyzNlyLajPFYjCHDUkjMSS85M5wXFBSsiDFplAqk0gEs9GYIhVBIq4AIGG6MBJizMVELqGQ/UEmZ6ksWfFsPB4DUGGjCvBH/Giyf41/l4ZEDP6TuQgLAbuEXcEeYGlWKn23hUjSgFHBy89WKdKjt9zjy0FqHL7+YCgdOv4DGY7aydz001S4T09KVPz9VHBaQ9T9ZOl7fz6cDMMQg91yFCJArc/+Omw7WqGiNt8cuSeCCmyZncRSx9vGxU+xdthOiT9kfSj+nHGrjaFjnphiS8aUeGPc2AhGrAAjRoBgY6lAVFaDsx7WN+br6wv5YMliDifZnAuGPF5soHKN6XCQpWR/q9JYUBrPLpVol5xwUBgAzlMjguBC6QTNhM7O53MhCIGvPak4zWEzMkttSxceZli0Qga2v9CyrPnm+wYNjB4srAY4him6as2gfsG+PMz2jLIAFlsdQ99BkMWOZAq/avq+2hQXo2Ks3wIN9K9xmrOFqqbFoycl+i2SXqhNrBFNrFFVxBoMetqCLszZPnvp27dOWvbNzTtuNpEoipfnPND4zlUXbzupEYJPT/zlNJ1U8I6QjxXghsrdpcbJKzYsu+dGaLhxYZ3g9IVeCEue4NQFZ93acemqd76L1MAmrfvZ47KL2v4R4DwsVwuxXI2BL6k2/jfik4UucXuB1t0Fqz1T9RJ8EQ39s0EYzMjBYEQO+rL12hQowEKqoVCobwhmW0eTKdZZDpdROTOmXB49Jtiq+xJWY6bqSuiOhFVMVf0IUpyPv4+zBtZktPr8YKalRKbGgGbYnCk2N5eKwZZYNAQgZKR6JZvNRBRfQslkdL+htaXFgp2KhlC8GIqPUQPh4uoxT41By8fsGYPGdKNtqn8sH5JlLlSLVLQCUZPQLoScaDZaiCj0HNoGjgHj4ftAy5Nj2SUAEAtyplXzNKtNXz3VgqZWDRtqMPF/31fz33eHHWFosQ7Qwj0FbH4Yp1AWVTwUsDF61uHCF3jQQzfyUfpmBoqZOPmImcM+QV3b+66msiufaIJfJM7FD5oOQblFpD3gBzJTnN1/jxRehBoroeFuh6bMT4Qb+88Pif3vY577HDshf8U8FwYfqLkCnTfESOGqEHEXAoVQu6HBVivUusuBcmiiYYxNFVT3CYFJwUkhN+PUOMfWqCWHMSeFtetAIwgEwiAo6XjIinW/joe8PLlOuhs5t5vngt6wIvGK5EVIMTsVhjETR5SbxEJWity8Z1jjZbXJj1T5/zd9G0dS64hssTwE/Btj6LbDMsZ7NaB/R/+WWkcuJpHVGVhWV+F1G43OVDu8OW+jb1S8odTQ1HisPHPUOfKCUZfJV4+6Ub1x1Cr13lFPjdo2akeDywkaG8Y2TCvSzmimcVxxVOmUupfLv1dfHGX2R/1186Lz6u4oPpV7tPHL6A+5Hxot9aMBqOtf58ywdXaAAAw0RPBSR4JSulYLJ0RyK3KoNgdzuRV1uVxtXTBdB3QqaNvaNAwjhBUbY50QqRi5nqyQbX1qFUrJRBUMzoOpqDyqqDbS5dHROsCDkBwVZDkK5LooHYG1SjqmpFMpqS4ajWBKYlJ6UXOT0l4um82sojJm0I2u3CjLXqa+G05/NjJ6dB0YrdRvhY+AKLpS9aiT6+bULaqjQJ1aN7mO2lt3ACO2UU3b4HQQAWXYqHLHyBHCEYCFBwhTjBm/FU4ZhMh6q3arxB709XrxZaePJFGJOvBJmlbo8ZZ9Pf116Joe0SshW6smZ6nWvq1KQA21loEaaMKDVI8HTw4Pgw3bpF8bkA94Dy9D/gldMqwq8ojm0qO3aUf79nZJ8SLxMzbgo17+XnWgjtaE11/XzB1eKglJVYmnP9CFlCQ85V4t5bhmEAnCOWTmXnTMLHL8F5mKVurPuaEcnzOPzPz2VxuXwjcrNx4pAr0/IsOAbjkj/YuLRx3QEr/zdqb1+hIvlo8XsXw0o2a1/FlwfwiNA+ObXwS7wLvww8A7we/Ad/C7oCUBksFkSGk+NjAt8EhoS2g32A13B7+CXwbt0zGmsHH86KkAr8cmcmLTWNe1mnhRYexFpVxOJ+8K2sKa1WJBdHIURVNKNJpQguGCZres9Q2N9fWlxmDBatCuzQ202Wygg1ZSG0++mRfq1fEprTo+6M/X6CKTmZxBmVQyk6lJBvPdfTepgSAEkUAwGIJIgGQMNQMQCoYEPIXZPahaQwklHA6FAkEFkuvxgYC/uQlRbsWP8oVko1IoWK022qXYzEqyuTkYCgWbGkNJFeyE4eTs5MLkU8ntSUNSTaaKSZUvOZPLk7uSe5MH8Fw3+lR1B8NwNkTL4U6IIKQDARohGnuhV6iiK0LRAh2a5Nrp2uP61kW7pBEvVV2SCUQKfBLb4+VGFPT/HZ34siOT6fSy+31aWpvMEnSsd24QoNZaJvKlXQzsftBft2+ubl+Q8R7danb+v5neTlIvjHn+QtIlCWMwdlQbysCjZdq5GHpgTuV5VmviqLyp9SyXyPgH2A5H/EEzmHryfQcpG76XJ1n2w9V8bxbtHm4rqa80vsYOM30N6V2CC1XRjCATkALoNQSt0Oj3Q9FPWzmNzxwp3uHgsOOayOj8hCFVKltTk8kGExZau8XUQJlMNIUBnaBdY//V4xGwCxsPkeuo3BCU5VAwGPcjyMNQwC9ghoJ+4MooiURIicexcr9ys19Q/D4UwKeqBVotFmgOBkIQg2/VD0BWTZSc2UnZ2dmF2eXZPVlj1pdHVIj3k9td/GzXQtdy1wEX7XRBl5Qbed4AaO8kviyrxyEyGLvv729r7hnSzKFh9qomdUIz1ppQ4AJ4YP1aHmuGFrz9X5vtIyGXpgLl2NGUYAs8Qh3SaEHvnbq+26GVW2j67hO0QGuqhI0aV9CeQ22HRWi/oF4ZtPIkxn8u9rPOxX6WHUjwkNr3hvMVCfH7xf3eH9gf+IPiQcn4mvgR+xH/vviB96/sX3mTj/XxblH00q/x/3Z+56LuZ+60rUWPGh5l1treNL5pNl+LbjbcYl5iW+Za5r4D3WswNxmbzA1Mq20k28A3iCO95jTK2Apsgk+IBW8LMj3n3M5u4De4NrifFrd7t0rmJ5xPsuv437oedK8Vn/I+JpmnuU4SO7yr2TtdK8X7vKsk81jXWPdYcbz3ROlU56nsybw55R3pbHQ1uUd4JzrHs2N5s9VoMfuNfnPKmXQl3SajW4K02eW008DkwU4dl7BQjgQJ10ZALVgDDOAyIWGSunxjrqyW1pKSD5L80cKCHq1GXPsi8VWyfxDpddwkWgJcme/u+64LH9nuvu+7eG9ZJMWGDsFfFr1isOwlA6PtTCKRt74iR0N33/sD11aeXL9Ejkz16CJHO0c2StxbPR5UHTa27I7Y+XZXCA+kj6rLJZXt1SNpsOpi3WVb9egl2Uk752qHDjzYouTsP1dtVhstBUS2IuRYgJmQNxVRLIrcJHbJ0+fe8O2yHZUdsLRj2TfLpn7z/DM/QtO6579B4x6pfLoGzoAO6ITT11Q+e/RtOK7yxidfVT6AYwlvdWFdMhPrkhjIgQOql/bRflMIhF1+Ppzwl/xj/VsyljSf7O77RmUv8f3Kh5LmtHml784wOhwV/me0XTcA8rIa1o6BUIJ3xsukh8eLIXcq4cQw0lfIYaDFSvnvBoPB/SFIEoEk8ZIOoMl4XMVrH8deDx6sTuLnzKh2Jvz3cJyUDJIg49G2hKuKsFY7mNDj70pMhk8fHkHB6OXLJ/50bP0Jk0eeUvkB2joePOGxX1beg3srFw+X6beWnfTLRLPPNeVnl7ef8QBZdxJnfAGvew40wd9sAXLfy+rEiNyeETze9pmls+suqaNMmZF14+tO9U2vuzhycfby0i2ldenH6nYq74XfjexR3st9q3DYbakbGx4nX569Lnxj9rbwb8Prs69H3pD3Z+yhbX3fAwY4/yONhgPxlkEahSPpjGyM5rKxcB40VlF1DoQKebLsebLi+bwZA3YlnSYeU3gruhLk0BrVDvAvEmIbEgGgQKUbdmxaHFgewDYB1uD3onBydE10V/RAlI4SWOLkVBYW2AMsYqXm8QuGZ2E6Ovd17NM6qrHx/67qdPdo2TksCv1gemhO5r8lfPOQHcc2hG2RrX0H8cof3JixlcQw1hAbipG6wa3oQDVsQypOfxr6mjDOHYJyEw0DLDP1SLx76P4Prrvv1CW3qORq0X3rF1b++fkFXSc9ekVlB7JUxg9nnNd+furqUvt9Wqsn9LxQmjJ5QfOUuzEG2IJtgoBtwjHgMzXd1nCif1JDR8Nl4vXiUt8y/80jVo22HB8ZNwoRlnh01COj3/Ps9/zTY/KTX9LlbSSlebMzaqqtxed1GgQAmxz1tTEqX9T3YZWU1tYilxhjjTDM6KnWm+j8TcliQh5D0Vj8ZS2R05QgLfQo5BsnJNQ6JaaooxamFqeWp1annkoZUtLY+7fC8JCarX092GQP9MyXB9I7mf6++cGu+WrbfF0tKXXR94Ebnrqp1iKE0JD+8v6qo2K1ml0vt0oqA+V71ErdqPIeaHjwVzetzZ845+z1o6bN2P/7P12r7WegvbPtgQeeHTe29u53Zs1694mn6fYAIdL7IZLNuX756fUnN4S5QDB542krdiyrJW99SRI9s379wILR54Tcvthxx133qxc0jLYcy3erpldvVdNOxlYiweloINxIEgjIbCiReLRLEht5PijFeIwCERYnqRsu3MyyHGmtxqdqhA0UAnMCOwO0M1AOTArMDizCUvVUYE/AHPhrguBrkqM5WK0XLWtq8LCA8RHh4yNYuRo0Lg2eoBUfa9EIzRv7uPKIVrv1BFm/4cGIyp8Jd8PLKsu0Ywz/3j/DfHk1/r1rYXQbCGAVFO77fkOYDZC2Dz+2udHL/PuM+wNfhX9A/zT+0/99+McIY0W0Efqt4ev89xqNZGsd4ki5WTdyN2hb6wR5PbzgADmYS4FcrhYE05xFj0imtI0Tg5weQzhWaajGDmqxhoopqZRX4S0Kz6EgRhRRGftzCzFtkBNMAmQTPl+95AuZzWRTzIVaA6mBkeqGYNAOLWZM+Laj2gY3FHz+PwX2tJ4bTb00Q23B87A0GMAf2PFS1JTIYRuvU71fP7zoySuPDfkctpCOIO994Zc/W3aO5mjoE3R77+hnDsx97XL0gha+11yJ0Te9dOIDZ2gz/cASYmCl26AMvEpNmoDJWwtO9I7PzAnezu4K/uD9IWN5BDwSRJkjWsS5/hZxfGIT9Egw2+BmWcEdtLnFaJpMYUOwSEFAYZU5yi6FVpRURlHSmWA0A6xaCNi70ATJHvkLTdgHSSGTiUJBK4KyRN48Phhs8AaDkjcoez1u7GyG8AKIotubwQ6vxyt4PF6PmFaikiILio1SrFFZttmsCEAzacxXar2TvU97D3hpL0nfWD1IKbhnu7e7KTe+7urzQM9WeC0Q0a6urFYZorWL7+/QusU7ejo0WRrat/qTLeNHtKYe0Zd61J7UTr1jvLolslyv1wFUu8aPmEXrLqnMGOUR7HbBA0d4XXaHy/MbeL0RXrPGK+ALL2zWjyrdzrhtNjejj4dE6quh13p8BGNrei2mfw3lqm584HV7kegxGGkMxGt8glGJ2BATR+6UbmiJemnVWgcJ2Parpy30LfQvDCwM3iBe73nR8KLwpcjMYedwc/g5LnongqzIelRR9dBe5PeEpHAwVJPyNKJGsc4zDo0TR3lmwJnidM8Nnkc8b6DXxY89wpHt4nx/uzivt4uvVTl2MgvZktYxHqx2jK9VQ/FIfFEcgThpEH8xvituiK/QesSD1R5xfAtDusORU2sM/5bpw8K+QmsMD1Ybw9eqQnB2EAZLWm94MCJ5gdYbXvm3WuzvDQ8N9IaHhvSGh4b0hoeqveGKpxtdqoa8CoCQcisUbU4qso/8j0Rcit2o2G0IvgCzmBZebOYkTJIOtX6nBMMSlNR0SVKLjUVpSQGfxOJFSVWSRUlRnTXhmtk1i2uW16yu2VnzbY25Zhu6QmsRz6oeEX9MVAv4hT8qqr6SU/xWK1WdvhGpSgmjvys2GCLu5/GPEwCFfzQNc6o7LMAXBSgorAGSnu/lhp0G2vA8fjcFxmoRT73vu7MHs/E3EruPNHz3dhIG1lq+O/tbvjs7SD+4l/1mcLeFatycBD3/1w3fR+y0cHjZ1ZETQ3u9FQz00hjoPYuWIJ/HJ/qqkO6Ep30DZSOo7+sNyOzp7jvwjMj2Qz5tn+2OGXKMVFsd5tMPaQgfmKM++NU3f/3V1WFNBTcTS/jywv9zzV/Pf0XXyWQiTJUP/Y5uH8h+RKnCoXeovwxoYwjOwLJ4LpbFengfCcJ+0eUJk/6+L9QS9hs3RyETY+qlmFQ/Lzav3ngqf5o4O3iqTJvlM6N3RNdF6X/J38eQUWZiblmK0f2uWakK+/VsnX0gVSdHM3V4poslWyOhl1RrfT5fVx/M1IN+B6FUdRAkF+l+Fsk9A2V+6biWs01mYslkPBZMx6JRyEY5QElMfcxVp2TiSiYdUdI+mee1jBwGNjFlcj2s70bbN2EuVzgWn6lOWQH8JH45KV9oGGpzJ/Qc1Dda7KlCGj1oruVfWlv7YeIQwg/fmvQIY2webo2Pfqe+h0dn9e9vJMhO98DLeft3CQD/yRE4PObNHD6BVg6AKSn8cWV5/cDGAT+DI2HDyYQ/9pPLesRWjhmoznsO5QeC20n40aDhRmBj5RdUs7YHcRCsVjMsaWtELDXTOSMw3zk/cLFzCVgCl6Al1J1Ox0TzcvNq8/rA1oAhYPYThyfQd3CDwWruhk9spumoVd+aWHVYjb4pUoR3OcSVIQI+Z6scQhQVCtvskWBwErYIUmgr3ATfAd5BYKQlP/vBZ+++8ne9g9UipEIdSxLZo3gg6zWkhKfBgBE62nP1NRU7WRh07PTpbVMq/9RkhjnvV2Sf4t5DWpfeGeetyIW1NPXN52jxsFzlF9r+jaRLIKeW6yzOEUn8KuVOglNRh/1MeBY6y3ie/WJ4VfrCvPX3xhctH5k+Yj5OflS33/i5xSxRWeoq083UKupxyigGtI2JpEJQkgLBqKjvVGrlXx+2LemoaKG6Iym0pwrOFnegBWMRR0G2WlIyXEmbQLglYVRkpxmafQ1Z4IiEnMFJ2JYsDNJBqX7onyPRskb9cY2eVm0z9f+0l/pPu7JD/1hAja2W0DWnObL2CCS7/tX1/fmZZGxY+QGpetV3hiNogvxZkaNuqjjsr4uc8PglV//xokrv85/e/JYW/lg4pIzn/nfvXrV796pf76bmrpo56+KdF26q9D1bMeoOFXYXWrRtcefdtnPXitt27SR/mwHT7jFMuxgowBNJv8J3G5wjUmTzwWbniCfBw/4nE9TJYLbvTHCBb758Ebjad2n+WnCL7/r8KuW+7K/zjyqPZx/Kc2tj8N7U+sj6FKXvIu0YuiW+vjun1f16dWNOfSPOk8lGnP1bRANfMudt4cl2zo6cHLAwZLf8pAxWRk1xKDFSZIkFOi17LQcslMVXl5ZJQfOa8NNhemd4b/hAmApLtf1/UmPoLvlapgM7CZioJExRbv1PW+T/hKcwnLA+vaCxgI1UQsiSRpYaIdONKZs6jLL6XzE5ajJi4M+XDGvSePwV7e9qaH9do7JI+/MGN332XKUXUi/svWn33XfvJi/0xipCwR9f6aco/PezEG7aDPoqJ9y2c+dtt+3apWPJs7D9mk/NBWPQ7eqdYS7MI76Zm8YhP9npMhydA8/nF8oLY3PG/B7+nv0D/wf5rdhb9S8VXxrjNAMvuDtKYcvHj+H4MTE2GmPlYkM9lIv1MZZnI7BegLC+OIbn+YhcFGS5iFpgi7OFbbG4WvgWuSXS4qtrqW+Jt8Ra0qNbxrSUWootLeqYMeXm5nIslsznk+UZhmI3zG+MjLmnzJKNu/0QGmyy/H8bu97YKIooPrPX7d1tb29nd4+9f+1yt3f2SNt0r3tXSu3ZOyhqA/InBAs0VIkSJBUtNKikGpXwoSR88Auo9JOfjTaRaiIYvhgUYlLDJ5EvSEghmlghxoDG3NX3ZvcKnMF4l773dubNtbm+efPmzcxvjFBIJAY1jDY6o4gToiAmnnSgfi4zk9O4Xnomt0tps73OLLbF10tSQupoHmi+dY76l4/T1sEBF+J/xBbjDAjaQ3zTQgwzl2q/HccVLvxHL2IAtRhjC1iIBR5PkBhbXMQsyUNEnPZAvrWl7xDUW/NAvYF/MhdZ5Sa2tQzyG4gwCvzamWRp0MsZexMWzJxm2Gpoz7qgMcPVZSZBM2ZCG2bKRplZy614MwVe7qzgCzUmK8UCBOFngHsrwnw/E//DCks3KkGtpayaLVq5gEcNN4CgSkZ0UJVUbXBoramVKZKhvla1TJEM9SUZSECGEPWAIklLbanBogLEicSTgwyxCB0EHwSueXzoy6ULcyyCifULFRmETAlIGskjE+e7yFiQOm6eKN2wcucWgE8MUvcMzCOG8TDNCB/Ro+0RBfrK79hjTtTO1r7i269rt82EorfTo7WPszrU30QEr70QKbbtxbW9m1ibpd/U3vMbsje299cuuuO8bPjpIToc4DXoKW9T1UUJChkB3q9Ogb/8EPqVA8a4NkZiWszqlNPRXtqrbpEr0b/1v6yWoL5R32Dtp/vVI/oR67h+3DqrntfPWd9aV6ywFQsq657NcEr4jCrszt4rCi8iVHM01dFdqDdTlu1ljLekZb5rUvO0ZcLgl7QyGDTOft6d54CaUS9qtDodPejeXCSKp917i4KU4HribEWN5mGmbfM1RSuhOxg6zlZeyeVsHjtaEDvqjpPKWJFMxlKhfxMaIZpOqAMVmkpJwBS1ICLCJZORgUQCuryAiHDZgY6egc7OjjAxt5rCQfO6eQfhPItbcQbDxJR4ULwu3hGbxXih4xyHrnLPM44dYrcgkqtjsz6ACeflkqcD3XxdedqdmPzXLP//4sTVH1mjtj/ASoESvZ8IoB5QwaON8OHzIIW0cKA2FTcT8gqDR5CH6A66jQ/MN1cmWKS7+usxbqE8i0n9PhksbkWQQ1JtET5zDQ1M8L53d335IiG+38DmouSXihRGQF8aCEvC+aW7RF76k0ikCYdXv82Xji3J4JazXrcVXWeKZYSpoAkpORyR5TBMccPUkIUQDSspEm32CamWkETHmgYUqSxN4OgaN8YmQjQUj732wIC6ybuvbWEZd6r//mlucInu9jfBvehAwN3Y4NY4B88G/Mcz4NfqruzhQ6qNJ1b5WUqIjGh9x6w/3UuXT7H6fqieENbw6LNKhMnqXRcYc2P1icP87sONwteTKFwkjLxMRpv2NG0mfqLAd7eS5IhN+kiZPE22kB3kefISmSBvkHfIpcqL+w9s3b59984jb60pHTy8qmvP3uwzw6HA+koTCcC7NZUtdWWzXSXfztZiPsJYrHXzhtcnJ1/Y99S6t6dWO6+Oa8a2EaH58cEReFvPjZqJ0anx0dHxKd8+Swp3dHe3W/uIfW2+356/PI92bds2uzzP5tV+ENk8ig/+cD1qu5x97+o3KP9LH767SMbqhaE653Hd41GP1+v9Dc+NvLG+8fmxhs+v/z7f1XyxmD+J5F6hp9CTRanW58Dr00JPT0HYhrSawALh2LJudTZfdByuTC9hXW030nuofBIl3/tA8vBUu1Io9PwED/QDEEbww94EQs87dm91GKRT+XxRSHlKNT8IP2Ozq8V8sRsE6E7/ADTB8Q4AAHictRhNbyNJtTJ2dj52MozYDy2b3aUOaCdBjZPZRTvajJDoOJ24dxw7ajuTjTis2t3luGY6Xa3u9li+In4A4sgJuK1AaDmChED8ARDLGQk4ICRucOLEe6+q220nDrMjMRl3v3r16n2/V9XFGNu6tsNWGP1b+dI1buAV9nKtZeBr7HotNHCN8drPDVwHmr8beJXdrq8Z+CV2q75t4OvsQf2nBr7B3lh9zcA32Z3VtoHXrt9+ZQycV+o1kHX7ze8SvArw3Te/T/BLhP8JwdcJ/xnBNwj+HcE3QdF3SEOEV9jrtW0DX2N3an0D19i3a5GB60DzewOvsjdq/zLwS+zV+psGvs7i+kMD32Db9b8Z+CZ7a7Vh4LU7b6x+h+BbpOefCH6ZdPsrwbcJ/2+C7yC8fo3gu6jb+l2CXwH4y+uc4FeJ5psEv4Z81ncJfp3w2pav0NoBwetEkxL8NtF8j+CvEvwDgr9G9D8i+OsEax9+g+DfInyD9F//A8Fa1p8Rvq3x/ySYbFn/D/uUcfYe22b32QOA+mzEBLwPmWIx/HI2ZQlhmjBKAcanD3hJFA2YsVkEf5x5gDuD9TnLaCTgLYD6GTxDolxjt+jXAswAZgSbALZLEmKQXchqg4Qp8B8DLw68FfCVLAA4ADiBubSUxUsLttn7AL1bjh4wi/TwgUMCtBzk+iAHeQTsqaH9CEYjwOLsGPTMSrvQF5JsiZbqMyR/cLYL4wHMINYnb8zbqPkoYyknKWOYDcheHA2B9wTWpoQZA1VI3uOAL2Ligk7oHUnrYvLvQ1oviEKwc5CJ3g7pyY1GBS0nfAYY9F9SRnFmB87noIWElRl4gX3K39u+/4D3R4Ifqljl00TwpkoTlfq5VHGD21HEPXk2yjPuiUykz0TY4Gu31m61xCAVE95NRNzHVW1/qsY5j9SZDHigkmmKqzgK2H6fv4uvBxb3/CgZ8ZYfByp4CtiP1CjmrXGYoaz+SGY8qvIZqpTvykEkAz/iRiLQKBDKMzVOAwGvYT7xU8HHcShSnqMlbp+3ZSDiTDzkmRBcnA9EGIqQRxrLQ5EFqUzQRJIRityXUQYOaZrISROdDkWYNUGYBPYdAQPM/TOgiiiezBNn48gHYLGqdpZw42wDaCXFSZXZsQkMTAh2KuL4xqEMUoVmbj6feo9pLiuD/wEE+kMoGvZYpBla/EHjw/cWWc0zIj7LlNfJ7lPqYrMIKTHRFU+pCIYv1GiqNmCMfZ6nfijO/fQpV8PlGcq+sCy2jBeDqlamSrG6HlG15BBndABrKcizkD8SeR4JCvdiCLFUxyAvocLUJTokmTm1nFPyKCdvTakN6LLNy1ZUUCNOUUPEhoG6C2p3IdElpmVZFIeY5CQUKb02MFyEGfvEOyEzzoEqpzlcNSA9iha02E5ys0I3t/QCZljaYJXjWTu76J2ExiGsCWBsmdaGW4iWa5VyFi2QlMkT8lNAzf4yn02MpZK2gYgafrE5Lfoe10QEbQD95lx7vZy71uFFfVtt3sjpDHApteucIheU+XmZBYX0i3o9rOQAWqJtyUlekfkpNfwp5Q8meEybnL/UUp17/lxW6R6gzFNbpWHcNhOzeaK2RTQLPkiJW/RVOaoPGrGJzIx7USHSeDml7Rw3Y2n83CiPHUUfQDsisnBSeno+sy2Kjk9waHLh4ka8WA0bdCBBW3fYFvwJ6lso4yltt4Ii6wMOvXQGFMXcluH5ycLmvmkqeNYxstJrhTZf5Pj0nMcV/tYCj3bBg79dZvQTwOlYFZkj6KgXmWPOLMOvOoIVmbn8GFZE76isoKyyd+m462wQRt4Z5XRs4m+R3ak5IukehB3CpxjoWBf5rPMrMfujlqCAqz4SxWW2+Gx2FF3sa/+HeJRe8sl29J00PT80NRsA93NTK7OdDCVI2p4yyk+j4/L4AtybP4xCxDcrPgppt4nm+s1FG6/gR11Y0rqC+vIuZy10ucL3i6vRa7qvVu0u9Jp9KMwqZ7YjFTG0qO8rkjIsx6KSIdi/dIQy4DbbabXWA9JFmB1rXMay2k90DLdMxDOqlKjUoajt+Vx6fq9Wd3ptZXXHmc/pmScm5MfzF4xjsSvgGTA2nhEVDUJ6osyZX54ARVDZQ/IrerLeAUKyoNj5di50cx+4Kuo8l38e6hNfsePMfFTsajM/VfvK/KqM+oWO18DYfvn+6y+Jalp6IKNMjYm7riS9C1d39xfNgupe12IOUXTZPoxOYPf0COMCjkM39WDmMYz2ALsHmHtA0TPz9yhiJ7QntYDumPY7zcODZwfGp9Tr9hmnMY4eAX0HeOFah31MMhzg1iNKj3gfArYNb8fQ4YomYI5hjPABdUMtrwOr9Aeva/ZHrWkf8Ly0cF4rlyQWmh3CyAP+LTNrA2+X+KH+KH+f4E6p577R1CYfIWfk2QSN2jRC7DG8j4CuR/Jtsllr2yEb9mFe2+KQBii5YWzVdOifx2YGY4T6teFvZpVNPmiRNjP/NeF9BJoj/wOY7dNO0YWVe2Rpj7znGJ+htW0azazSkWqSNehV9MEewIfwOyh959FT6+JVuM377oTmZ1TaPts8m+S5Lo10NJo06lOscNYysfTIjkWpJ5SJDlHZZHGvzJB9yl6tfZGdWka3oomWh7Gt6lJkNb+iRjSXYv7YRPqiX9DrNvkE9eqVkpdx1vXJyg92no2TJJIi5EMV5w1+qsb83J/ycSZ4jpcdiOa54kEq/FxYPJRZEvlTi/txyJNUwmwAJALefsYTkZ7LPAd2gylddBTXGTlMZFylBTBECRa+6TqkVCdJVTgOcovjRQ6stXBNIUDGfDKSwaii2QSEyjiIxiHe+hTaqzia8g25qa9VKuTA4Spt9S2MjM94KrI8lQF+c88E4PKS10PywIYEKbk4xw/0VILUUE3iSPnhvPd87SqRojkKRMFznCfjnIcCzUSakYiSeY82uB1PDTkGBBiCf0ZyIEHnBl5x4T3BUEWRmqDSxtkWH/gZaKvi8q6pCMPGKM+Tna0tETcm8qlMRCj9hkrPtnC0BZSfmFupTQgwJUaGqiGby6/RLrv++qOhaCPF5+joJwqsQueIZyJSiXb4/EUbOnPuqg3NO8IAZXQjBLaDGwSsO0t98E5o8WEqBGZQMPLTM7Aa/Qz+gqgCA64GuS9jdItPl31Frj2/HaiSn2UqkD7mSKiC8TlExdd3cjIC32wgxzl7ec/c9n2+SRqFAhhKHYlL6fhE5iNEV1LOMimH2hfTkYRc1bKRV6pvPEECFRJaaPFzFcohvgU5JBmDQdmIihZYD8ZYwBkiTZ6AhVtgeCaiCDlgtI2XLlVVFz2I1IVjPE1KTEbq/AobsRTGaQzKCGIQKp4p0uWJCPIixWaZDAUQSiq+nSLN/YF6JirXtrHKsXBIIyy1ZJYrZiob+WDXQMzVr18xNUUFshzSSUKQoIR1uV/lAl11LYf3uvv9E9tzuNvjR173sbvn7PF7dg/G9yx+4vZb3eM+BwrP7vRPeXef251T/sjt7Fnc+fjIc3o93vW4e3jUdh3AuZ1m+3jP7RzwXVjX6fZ524V6BKb9LkeBhpXr9JDZoeM1WzC0d9222z+1+L7b7yDPfWBq8yPb67vN47bt8aNj76jbc0D8HrDtuJ19D6Q4h06n3wCpgOPOYxjwXstut0mUfQzae6Rfs3t06rkHrT5vddt7DiB3HdDM3m07WhQY1Wzb7qHF9+xD+8ChVV3g4hGZ0e6k5RAK5Nnwv9l3ux00o9nt9D0YWmCl1y+Xnrg9x+K25/bQIfteF9ijO2FFl5jAuo6juaCr+VxEgATHxz1npsueY7eBVw8XV4khngw2TEUHcDwMM/rcnq6swWH2CRyG/wGYeG6+Z47PobmFZbUf1n5R+3XtN/D7Ze1XtZ+xRY6zkU+fZcvm/7JAjZ/N8/KMxKX8I7pAWJivv1O/X39UP6h/C54fLsiLScZyfjjy4eMGr+LQDww/ClY+W/lxjdFHEoODRQp/Y/Ph/794LR39F+nLZDIAAHicbdpDkEVpF27rXPbaZduu2nMulm3btm3btm3btm3bNu+JG+fPORonGxmzsfN7MyMyRusZcUf+/69/px5ZeeT/8VXe+n++OSPuiDcyGJl9ZOGRRUYWHVlsZPGRJUaWHFlqZOmRZUeWG1l+ZIWRFUdWGVl1ZLWR1UfWGFlz5DbHdTzHdwIndCIndhIndTIndwqndAbOGM6YzljO2M44zrjOeM74zgTOhM5EzsTOJM6kzmTO5M4UzpTOVM7UzjTOtM50zvTODM6MzkzOzM4szqzObM7szhzO0BFHncqpncZpnc7pnTmduZy5nXmceZ35nPmdBZwFnYWchZ1FnEWdxZzFnSWcJZ2lnKWdZZxlneWc5Z0VnBWdlZyVnVWcVZ3VnNWdNZw1nbWctZ11nHWd9Zz1nQ2cDZ2NnI2dTZxNnc2czZ0tnC2drZytnW2cbZ3tnO2dHZwdnZ2cnZ1dnF2d3ZzdnT2cPZ29nL2dfZx9nf2c/Z0DnAOdg5yDnUOcQ53DnMOdI5wjnaOco51jnGOd45zjnROcE52TnJOdU5xTndOc050znDOds5yznXOcc53znPOdC5wLnYuci51LnEudy5zLnSucK52rnKuda5xrneuc650bnBudm5ybnVucW53bnNudO5w7nbucu517nHud+5z7nQecB52HnIedR5xHncecx50nnCedp5ynnWecZ53nnOedF5wXnZecl51XnFed15zXnTecN523nLedd5x3nfec950PnA+dj5yPnU+cT53PnM+dL5wvna+cr51vnG+d75zvnR+cH52fnJ+dX5xfnd+c350/nD+dv5y/nX+cf53/3BHXcV3Xc303cEM3cmM3cVM3c3O3cEt34I7hjumO5Y7tjuOO647nju9O4E7oTuRO7E7iTupO5k7uTuFO6U7lTu1O407rTudO787gzujO5M7szuLO6s7mzu7O4Q5dcdWt3Npt3Nbt3N6d053Lndudx53Xnc+d313AXdBdyF3YXcRd1F3MXdxdwl3SXcpd2l3GXdZdzl3eXcFd0V3JXdldxV3VXc1d3V3DXdNdy13bXcdd113PXd/dwN3Q3cjd2N3E3dTdzN3c3cLd0t3K3drdxt3W3c7d3t3B3dHdyd3Z3cXd1d3N3d3dw93T3cvd293H3dfdz93fPcA90D3IPdg9xD3UPcw93D3CPdI9yj3aPcY91j3OPd49wT3RPck92T3FPdU9zT3dPcM90z3LPds9xz3XPc89373AvdC9yL3YvcS91L3Mvdy9wr3Svcq92r3Gvda9zr3evcG90b3Jvdm9xb3Vvc293b3DvdO9y73bvce9173Pvd99wH3Qfch92H3EfdR9zH3cfcJ90n3Kfdp9xn3Wfc593n3BfdF9yX3ZfcV91X3Nfd19w33Tfct9233Hfdd9z33f/cD90P3I/dj9xP3U/cz93P3C/dL9yv3a/cb91v3O/d79wf3R/cn92f3F/dX9zf3d/cP90/3L/dv9x/3X/c8b8RzP9TzP9wIv9CIv9hIv9TIv9wqv9AbeGN6Y3lje2N443rjeeN743gTehN5E3sTeJN6k3mTe5N4U3pTeVN7U3jTetN503vTeDN6M3kzezN4s3qzebN7s3hze0BNPvcqrvcZrvc7rvTm9uby5vXm8eb35vPm9BbwFvYW8hb1FvEW9xbzFvSW8Jb2lvKW9ZbxlveW85b0VvBW9lbyVvVW8Vb3VvNW9Nbw1vbW8tb11vHW99bz1vQ28Db2NvI29TbxNvc28zb0tvC29rbytvW28bb3tvO29HbwdvZ28nb1dvF293bzdvT28Pb29vL29fbx9vf28/b0DvAO9g7yDvUO8Q73DvMO9I7wjvaO8o71jvGO947zjvRO8E72TvJO9U7xTvdO8070zvDO9s7yzvXO8c73zvPO9C7wLvYu8i71LvEu9y7zLvSu8K72rvKu9a7xrveu8670bvBu9m7ybvVu8W73bvNu9O7w7vbu8u717vHu9+7z7vQe8B72HvIe9R7xHvce8x70nvCe9p7ynvWe8Z73nvOe9F7wXvZe8l71XvFe917zXvTe8N723vLe9d7x3vfe8970PvA+9j7yPvU+8T73PvM+9L7wvva+8r71vvG+977zvvR+8H72fvJ+9X7xfvd+8370/vD+9v7y/vX+8f73//BHf8V3f830/8EM/8mM/8VM/83O/8Et/4I/hj+mP5Y/tj+OP64/nj+9P4E/oT+RP7E/iT+pP5k/uT+FP6U/lT+1P40/rT+dP78/gz+jP5M/sz+LP6s/mz+7P4Q998dWv/Npv/Nbv/N6f05/Ln9ufx5/Xn8+f31/AX9BfyF/YX8Rf1F/MX9xfwl/SX8pf2l/GX9Zfzl/eX8Ff0V/JX9lfxV/VX81f3V/DX9Nfy1/bX8df11/PX9/fwN/Q38jf2N/E39TfzN/c38Lf0t/K39rfxt/W387f3t/B39Hfyd/Z38Xf1d/N393fw9/T38vf29/H39ffz9/fP8A/0D/IP9g/xD/UP8w/3D/CP9I/yj/aP8Y/1j/OP94/wT/RP8k/2T/FP9U/zT/dP8M/0z/LP9s/xz/XP88/37/Av9C/yL/Yv8S/1L/Mv9y/wr/Sv8q/2r/Gv9a/zr/ev8G/0b/Jv9m/xb/Vv82/3b/Dv9O/y7/bv8e/17/Pv99/wH/Qf8h/2H/Ef9R/zH/cf8J/0n/Kf9p/xn/Wf85/3n/Bf9F/yX/Zf8V/1X/Nf91/w3/Tf8t/23/Hf9d/z3/f/8D/0P/I/9j/xP/U/8z/3P/C/9L/yv/a/8b/1v/O/97/wf/R/8n/2f/F/9X/zf/d/8P/0//L/9v/x//X/y8YCZzADbzAD4IgDKIgDpIgDbIgD4qgDAbBGMGYwVjB2ME4wbjBeMH4wQTBhMFEwcTBJMGkwWTB5MEUwZTBVMHUwTTBtMF0wfTBDMGMwUzBzMEswazBbMHswRzBMJBAgyqogyZogy7ogzmDuYK5g3mCeYP5gvmDBYIFg4WChYNFgkWDxYLFgyWCJYOlgqWDZYJlg+WC5YMVghWDlYKVg1WCVYPVgtWDNYI1g7WCtYN1gnWD9YL1gw2CDYONgo2DTYJNg82CzYMtgi2DrYKtg22CbYPtgu2DHYIdg52CnYNdgl2D3YLdgz2CPYO9gr2DfYJ9g/2C/YMDggODg4KDg0OCQ4PDgsODI4Ijg6OCo4NjgmOD44LjgxOCE4OTgpODU4JTg9OC04MzgjODs4Kzg3OCc4PzgvODC4ILg4uCi4NLgkuDy4LLgyuCK4OrgquDa4Jrg+uC64MbghuDm4Kbg1uCW4PbgtuDO4I7g7uCu4N7gnuD+4L7gweCB4OHgoeDR4JHg8eCx4MngieDp4Kng2eCZ4PngueDF4IXg5eCl4NXgleD14LXgzeCN4O3greDd4J3g/eC94MPgg+Dj4KPg0+CT4PPgs+DL4Ivg6+Cr4Nvgm+D74Lvgx+CH4Ofgp+DX4Jfg9+C34M/gj+Dv4K/g3+Cf4P/wpHQCd3QC/0wCMMwCuMwCdMwC/OwCMtwEI4RjhmOFY4djhOOG44Xjh9OEE4YThROHE4SThpOFk4eThFOGU4VTh1OE04bThdOH84QzhjOFM4czhLOGs4Wzh7OEQ5DCTWswjpswjbswj6cM5wrnDucJ5w3nC+cP1wgXDBcKFw4XCRcNFwsXDxcIlwyXCpcOlwmXDZcLlw+XCFcMVwpXDlcJVw1XC1cPVwjXDNcK1w7XCdcN1wvXD/cINww3CjcONwk3DTcLNw83CLcMtwq3DrcJtw23C7cPtwh3DHcKdw53CXcNdwt3D3cI9wz3CvcO9wn3DfcL9w/PCA8MDwoPDg8JDw0PCw8PDwiPDI8Kjw6PCY8NjwuPD48ITwxPCk8OTwlPDU8LTw9PCM8MzwrPDs8Jzw3PC88P7wgvDC8KLw4vCS8NLwsvDy8IrwyvCq8OrwmvDa8Lrw+vCG8MbwpvDm8Jbw1vC28PbwjvDO8K7w7vCe8N7wvvD98IHwwfCh8OHwkfDR8LHw8fCJ8MnwqfDp8Jnw2fC58PnwhfDF8KXw5fCV8NXwtfD18I3wzfCt8O3wnfDd8L3w//CD8MPwo/Dj8JPw0/Cz8PPwi/DL8Kvw6/Cb8Nvwu/D78Ifwx/Cn8Ofwl/DX8Lfw9/CP8M/wr/Dv8J/w3/C8aiZzIjbzIj4IojKIojpIojbIoj4qojAbRGNGY0VjR2NE40bjReNH40QTRhNFE0cTRJNGk0WTR5NEU0ZTRVNHU0TTRtNF00fTRDNGM0UzRzNEs0azRbNHs0RzRMJJIoyqqoyZqoy7qozmjuaK5o3mieaP5ovmjBaIFo4WihaNFokWjxaLFoyWiJaOloqWjZaJlo+Wi5aMVohWjlaKVo1WiVaPVotWjNaI1o7WitaN1onWj9aL1ow2iDaONoo2jTaJNo82izaMtoi2jraKto22ibaPtou2jHaIdo52inaNdol2j3aLdoz2iPaO9or2jfaJ9o/2i/aMDogOjg6KDo0OiQ6PDosOjI6Ijo6Oio6NjomOj46LjoxOiE6OTopOjU6JTo9Oi06MzojOjs6Kzo3Oic6PzovOjC6ILo4uii6NLokujy6LLoyuiK6Oroquja6Jro+ui66Mbohujm6Kbo1uiW6PbotujO6I7o7uiu6N7onuj+6L7oweiB6OHooejR6JHo8eix6Mnoiejp6Kno2eiZ6PnouejF6IXo5eil6NXolej16LXozeiN6O3orejd6J3o/ei96MPog+jj6KPo0+iT6PPos+jL6Ivo6+ir6Nvom+j76Lvox+iH6Ofop+jX6Jfo9+i36M/oj+jv6K/o3+if6P/4pHYid3Yi/04iMM4iuM4idM4i/O4iMt4EI8RjxmPFY8djxOPG48Xjx9PEE8YTxRPHE8STxpPFk8eTxFPGU8VTx1PE08bTxdPH88QzxjPFM8czxLPGs8Wzx7PEQ9jiTWu4jpu4jbu4j6eM54rnjueJ543ni+eP14gXjBeKF44XiReNF4sXjxeIl4yXipeOl4mXjZeLl4+XiFeMV4pXjleJV41Xi1ePV4jXjNeK147XideN14vXj/eIN4w3ijeON4k3jTeLN483iLeMt4q3jreJt423i7ePt4h3jHeKd453iXeNd4t3j3eI94z3iveO94n3jfeL94/PiA+MD4oPjg+JD40Piw+PD4iPjI+Kj46PiY+Nj4uPj4+IT4xPik+OT4lPjU+LT49PiM+Mz4rPjs+Jz43Pi8+P74gvjC+KL44viS+NL4svjy+Ir4yviq+Or4mvja+Lr4+viG+Mb4pvjm+Jb41vi2+Pb4jvjO+K747vie+N74vvj9+IH4wfih+OH4kfjR+LH48fiJ+Mn4qfjp+Jn42fi5+Pn4hfjF+KX45fiV+NX4tfj1+I34zfit+O34nfjd+L34//iD+MP4o/jj+JP40/iz+PP4i/jL+Kv46/ib+Nv4u/j7+If4x/in+Of4l/jX+Lf49/iP+M/4r/jv+J/43/i8ZSZzETbzET4IkTKIkTpIkTbIkT4qkTAbJGMmYyVjJ2Mk4ybjJeMn4yQTJhMlEycTJJMmkyWTJ5MkUyZTJVMnUyTTJtMl0yfTJDMmMyUzJzMksyazJbMnsyRzJMJFEkyqpkyZpky7pkzmTuZK5k3mSeZP5kvmTBZIFk4WShZNFkkWTxZLFkyWSJZOlkqWTZZJlk+WS5ZMVkhWTlZKVk1WSVZPVktWTNZI1k7WStZN1knWT9ZL1kw2SDZONko2TTZJNk82SzZMtki2TrZKtk22SbZPtku2THZIdk52SnZNdkl2T3ZLdkz2SPZO9kr2TfZJ9k/2S/ZMDkgOTg5KDk0OSQ5PDksOTI5Ijk6OSo5NjkmOT45LjkxOSE5OTkpOTU5JTk9OS05MzkjOTs5Kzk3OSc5PzkvOTC5ILk4uSi5NLkkuTy5LLkyuSK5OrkquTa5Jrk+uS65MbkhuTm5Kbk1uSW5PbktuTO5I7k7uSu5N7knuT+5L7kweSB5OHkoeTR5JHk8eSx5MnkieTp5Knk2eSZ5PnkueTF5IXk5eSl5NXkleT15LXkzeSN5O3kreTd5J3k/eS95MPkg+Tj5KPk0+ST5PPks+TL5Ivk6+Sr5Nvkm+T75Lvkx+SH5Ofkp+TX5Jfk9+S35M/kj+Tv5K/k3+Sf5P/0pHUSd3US/00SMM0SuM0SdM0S/O0SMt0kI6RjpmOlY6djpOOm46Xjp9OkE6YTpROnE6STppOlk6eTpFOmU6VTp1Ok06bTpdOn86QzpjOlM6czpLOms6Wzp7OkQ5TSTWt0jpt0jbt0j6dM50rnTudJ503nS+dP10gXTBdKF04XSRdNF0sXTxdIl0yXSpdOl0mXTZdLl0+XSFdMV0pXTldJV01XS1dPV0jXTNdK107XSddN10vXT/dIN0w3SjdON0k3TTdLN083SLdMt0q3TrdJt023S7dPt0h3THdKd053SXdNd0t3T3dI90z3SvdO90n3TfdL90/PSA9MD0oPTg9JD00PSw9PD0iPTI9Kj06PSY9Nj0uPT49IT0xPSk9OT0lPTU9LT09PSM9Mz0rPTs9Jz03PS89P70gvTC9KL04vSS9NL0svTy9Ir0yvSq9Or0mvTa9Lr0+vSG9Mb0pvTm9Jb01vS29Pb0jvTO9K707vSe9N70vvT99IH0wfSh9OH0kfTR9LH08fSJ9Mn0qfTp9Jn02fS59Pn0hfTF9KX05fSV9NX0tfT19I30zfSt9O30nfTd9L30//SD9MP0o/Tj9JP00/Sz9PP0i/TL9Kv06/Sb9Nv0u/T79If0x/Sn9Of0l/TX9Lf09/SP9M/0r/Tv9J/03/S8byZzMzbzMz4IszKIszpIszbIsz4qszAbZGNmY2VjZ2Nk42bjZeNn42QTZhNlE2cTZJNmk2WTZ5NkU2ZTZVNnU2TTZtNl02fTZDNmM2UzZzNks2azZbNns2RzZMJNMsyqrsyZrsy7rszmzubK5s3myebP5svmzBbIFs4WyhbNFskWzxbLFsyWyJbOlsqWzZbJls+Wy5bMVshWzlbKVs1WyVbPVstWzNbI1s7WytbN1snWz9bL1sw2yDbONso2zTbJNs82yzbMtsi2zrbKts22ybbPtsu2zHbIds52ynbNdsl2z3bLdsz2yPbO9sr2zfbJ9s/2y/bMDsgOzg7KDs0OyQ7PDssOzI7Ijs6Oyo7NjsmOz47LjsxOyE7OTspOzU7JTs9Oy07MzsjOzs7Kzs3Oyc7PzsvOzC7ILs4uyi7NLskuzy7LLsyuyK7Orsquza7Jrs+uy67Mbshuzm7Kbs1uyW7PbstuzO7I7s7uyu7N7snuz+7L7sweyB7OHsoezR7JHs8eyx7Mnsiezp7Kns2eyZ7PnsuezF7IXs5eyl7NXslez17LXszeyN7O3srezd7J3s/ey97MPsg+zj7KPs0+yT7PPss+zL7Ivs6+yr7Nvsm+z77Lvsx+yH7Ofsp+zX7Jfs9+y37M/sj+zv7K/s3+yf7P/8pHcyd3cy/08yMM8yuM8ydM8y/O8yMt8kI+Rj5mPlY+dj5OPm4+Xj59PkE+YT5RPnE+ST5pPlk+eT5FPmU+VT51Pk0+bT5dPn8+Qz5jPlM+cz5LPms+Wz57PkQ9zyTWv8jpv8jbv8j6fM58rnzufJ583ny+fP18gXzBfKF84XyRfNF8sXzxfIl8yXypfOl8mXzZfLl8+XyFfMV8pXzlfJV81Xy1fPV8jXzNfK187XydfN18vXz/fIN8w3yjfON8k3zTfLN883yLfMt8q3zrfJt823y7fPt8h3zHfKd853yXfNd8t3z3fI98z3yvfO98n3zffL98/PyA/MD8oPzg/JD80Pyw/PD8iPzI/Kj86PyY/Nj8uPz4/IT8xPyk/OT8lPzU/LT89PyM/Mz8rPzs/Jz83Py8/P78gvzC/KL84vyS/NL8svzy/Ir8yvyq/Or8mvza/Lr8+vyG/Mb8pvzm/Jb81vy2/Pb8jvzO/K787vye/N78vvz9/IH8wfyh/OH8kfzR/LH88fyJ/Mn8qfzp/Jn82fy5/Pn8hfzF/KX85fyV/NX8tfz1/I38zfyt/O38nfzd/L38//yD/MP8o/zj/JP80/yz/PP8i/zL/Kv86/yb/Nv8u/z7/If8x/yn/Of8l/zX/Lf89/yP/M/8r/zv/J/83/68YKZzCLbzCL4IiLKIiLpIiLbIiL4qiLAbFGMWYxVjF2MU4xbjFeMX4xQTFhMVExcTFJMWkxWTF5MUUxZTFVMXUxTTFtMV0xfTFDMWMxUzFzMUsxazFbMXsxRzFsJBCi6qoi6Zoi67oizmLuYq5i3mKeYv5ivmLBYoFi4WKhYtFikWLxYrFiyWKJYuliqWLZYpli+WK5YsVihWLlYqVi1WKVYvVitWLNYo1i7WKtYt1inWL9Yr1iw2KDYuNio2LTYpNi82KzYstii2LrYqti22KbYvtiu2LHYodi52KnYtdil2L3Yrdiz2KPYu9ir2LfYp9i/2K/YsDigOLg4qDi0OKQ4vDisOLI4oji6OKo4tjimOL44rjixOKE4uTipOLU4pTi9OK04szijOLs4qzi3OKc4vzivOLC4oLi4uKi4tLikuLy4rLiyuKK4uriquLa4pri+uK64sbihuLm4qbi1uKW4vbituLO4o7i7uKu4t7inuL+4r7iweKB4uHioeLR4pHi8eKx4sniieLp4qni2eKZ4vniueLF4oXi5eKl4tXileL14rXizeKN4u3ireLd4p3i/eK94sPig+Lj4qPi0+KT4vPis+LL4ovi6+Kr4tvim+L74rvix+KH4ufip+LX4pfi9+K34s/ij+Lv4q/i3+Kf4v/ypHSKd3SK/0yKMMyKuMyKdMyK/OyKMtyUI5RjlmOVY5djlOOW45Xjl9OUE5YTlROXE5STlpOVk5eTlFOWU5VTl1OU05bTldOX85QzljOVM5czlLOWs5Wzl7OUQ5LKbWsyrpsyrbsyr6cs5yrnLucp5y3nK+cv1ygXLBcqFy4XKRctFysXLxcolyyXKpculymXLZcrly+XKFcsVypXLlcpVy1XK1cvVyjXLNcq1y7XKdct1yvXL/coNyw3KjcuNyk3LTcrNy83KLcstyq3Lrcpty23K7cvtyh3LHcqdy53KXctdyt3L3co9yz3Kvcu9yn3Lfcr9y/PKA8sDyoPLg8pDy0PKw8vDyiPLI8qjy6PKY8tjyuPL48oTyxPKk8uTylPLU8rTy9PKM8szyrPLs8pzy3PK88v7ygvLC8qLy4vKS8tLysvLy8oryyvKq8urymvLa8rry+vKG8sbypvLm8pby1vK28vbyjvLO8q7y7vKe8t7yvvL98oHywfKh8uHykfLR8rHy8fKJ8snyqfLp8pny2fK58vnyhfLF8qXy5fKV8tXytfL18o3yzfKt8u3ynfLd8r3y//KD8sPyo/Lj8pPy0/Kz8vPyi/LL8qvy6/Kb8tvyu/L78ofyx/Kn8ufyl/LX8rfy9/KP8s/yr/Lv8p/y3/G8wMnAG7sAb+INgEA6iQTxIBukgG+SDYlAOBoMxBmMOxhqMPRhnMO5gvMH4gwkGEw4mGkw8mGQw6WCyweSDKQZTDqYaTD2YZjDtYLrB9IMZBjMOZhrMPJhlMOtgtsHsgzkGw4EMdFAN6kEzaAfdoB/MOZhrMPdgnsG8g/kG8w8WGCw4WGiw8GCRwaKDxQaLD5YYLDlYarD0YJnBsoPlBssPVhisOFhpsPJglcGqg9UGqw/WGKw5WGuw9mCdwbqD9QbrDzYYbDjYaLDxYJPBpoPNBpsPthhsOdhqsPVgm8G2g+0G2w92GOw42Gmw82CXwa6D3Qa7D/YY7DnYa7D3YJ/BvoP9BvsPDhgcODhocPDgkMGhg8MGhw+OGBw5OGpw9OCYwbGD4wbHD04YnDg4aXDy4JTBqYPTBqcPzhicOThrcHa87AbbbLLMJrPN8b9j+L9D/ndU/zvq/x3N/472f0f3v6NP/vfOHKPXcPSS0UtHr2r0akavdvTqRq/Rl2X0ZRl9WUZfltGXZfRlqUev0Q0Z3ZDRDRnd0NENHd3Q0Q0d3dDRDR3d0NENHd3Q0Q0d3ahGN6rRjWp0oxrdqEY3qtGNanSjGn25Gn25Hn25Hn25Hn25Hn25Hn25Hn25Hn25Hv3t69GNenSjGd1oRjea0Y1mdKMZ3WhGN5rRjWZ0ox29utGf7UZ/th/d6Ec3+tHP9fa50Y1+dKMffbkf/Tv6Ph39P53DzqGdYqfaWdlZ29nY2drZ2WlrQ1sb2trQ1oa2NrS1oa0NbW1oa0NbG9qa2JrYmtia2JrYmtia2JrYmtia2Jramtqa2pramtqa2pramtqa2praWmVrla1VtlbZWmVrla1VtlbZWmVrla3VtlbbWm1rta3VtlbbWm1rta3VtlbbWmNrja01ttbYWmNrja01ttbYWmNrja21ttbaWmtrra21ttbaWmtrra21ttbaWmdrna11NtHZRGcTnU10NtHZRGcTvU30NtHbH9TbWm9rva31ttbbWm9rFhCxgIgFRCwgYgERC4hYQMQCIhYQsYCIBUQsIGIBEQuIWEDEAiIWELGAiAVELCBiARELiFhAxAIiFhCxgIgFRCwgYgERC4hYQMQCIhYQsYCIBUQsIGIBEQuIWEDEAiIWELGAiAVELCBiARELiFhAxAIiFhCxgIgFRCwgYgERC4hYQMQCIhYQsYCIBUQsIGIBEQuIWEDEAiIWELGAiAVELCBiARELiFhAxAIiFhCxgIgFRCwgYgERC4hYQMQCIhYQsYCIBUQ6W7OWiLVErCViLRFriVhLxFoi1hKxloi1RKwlYi0Ra4lYS8RaItYSsZaotUStJWotUWuJWkvUWqLWErWWqLVErSVqLVFriVpL1Fqi1hK1lqi1RK0lai1Ra4laS9RaotYStZaotUStJWotUWuJWkvUWqLWErWWqLVErSVqLVFriVpL1Fqi1hK1lqi1RK0lai1Ra4laS9RaotYStZaotUStJWotUWuJWkvUWqLWErWWqLVErSVqLVFriVpL1Fqi1hK1lqi1RK0lai1Ra4laS9RaotYStZaotUStJWotUWuJWkvUWqLWErWWqLVErSVqLVFriVpL1Fqi1hK1lqi1RK0lai1Ra4laS9RaotYStZaotUStJWotUWtJZS2prCWVtaSyllTWkspaUllLKmtJZS2prCWVtaSyllTWkspaUllLKmtJZS2prCWVtaSyllTWkspaUllLKmtJZS2prCWVtaSyllTWkspaUllLKmtJZS2prCWVtaSyllTWkspaUllLKmtJZS2prCWVtaSyllTWkspaUllLKmtJZS2prCWVtaSyllTWkspaUllLKmtJZS2prCWVtaSyllTWkspaUllLKmtJZS2prCWVtaSyllTWkspaUllLKmtJZS2prCWVtaSyllTWkspaUllLKmtJZS2prCWVtaSyllTWkspaUllLKmtJZS2prCWVtaSyllTWkspaUllLKmtJZS2prCWVtaSyltTWktpaUltLamtJbS2prSW1taS2ltTWktpaUltLamtJbS2prSW1taS2ltTWktpaUltLamtJbS2prSW1taS2ltTWktpaUltLamtJbS2prSW1taS2ltTWktpaUltLamtJbS2prSW1taS2ltTWktpaUltLamtJbS2prSW1taS2ltTWktpaUltLamtJbS2prSW1taS2ltTWktpaUltLamtJbS2prSW1taS2ltTWktpaUltLamtJbS2prSW1taS2ltTWktpaUltLamtJbS2prSW1taS2ltTWktpaUltLamtJbS2prSW1taS2ltTWktpaUltLamtJbS2prSW1taS2ltTWktpaUltLamtJYy1prCWNtaSxljTWksZa0lhLGmtJYy1prCWNtaSxljTWksZa0lhLGmtJYy1prCWNtaSxljTWksZa0lhLGmtJYy1prCWNtaSxljTWksZa0lhLGmtJYy1prCWNtaSxljTWksZa0lhLGmtJYy1prCWNtaSxljTWksZa0lhLGmtJYy1prCWNtaSxljTWksZa0lhLGmtJYy1prCWNtaSxljTWksZa0lhLGmtJYy1prCWNtaSxljTWksZa0lhLGmtJYy1prCWNtaSxljTWksZa0lhLGmtJYy1prCWNtaSxljTWksZa0lhLGmtJYy1prCWNtaSxljTWksZa0lhLGmtJYy1prCWNtaSxlrTWktZa0lpLWmtJay1prSWttaS1lrTWktZa0lpLWmtJay1prSWttaS1lrTWktZa0lpLWmtJay1prSWttaS1lrTWktZa0lpLWmtJay1prSWttaS1lrTWktZa0lpLWmtJay1prSWttaS1lrTWktZa0lpLWmtJay1prSWttaS1lrTWktZa0lpLWmtJay1prSWttaS1lrTWktZa0lpLWmtJay1prSWttaS1lrTWktZa0lpLWmtJay1prSWttaS1lrTWktZa0lpLWmtJay1prSWttaS1lrTWktZa0lpLWmtJay1prSWttaS1lrTWktZa0lpLWmtJay1prSWttaS1lrTWktZa0lpLWmtJZy3prCWdtaSzlnTWks5a0llLOmtJZy3prCWdtaSzlnTWks5a0llLOmtJZy3prCWdtaSzlnTWks5a0llLOmtJZy3prCWdtaSzlnTWks5a0llLOmtJZy3prCWdtaSzlnTWks5a0llLOmtJZy3prCWdtaSzlnTWks5a0llLOmtJZy3prCWdtaSzlnTWks5a0llLOmtJZy3prCWdtaSzlnTWks5a0llLOmtJZy3prCWdtaSzlnTWks5a0llLOmtJZy3prCWdtaSzlnTWks5a0llLOmtJZy3prCWdtaSzlnTWks5a0llLOmtJZy3prCWdtaSzlnTWks5a0llLOmtJZy3prCWdtaSzlvTWkt5a0ltLemtJby3prSW9taS3lvTWkt5a0ltLemtJby3prSW9taS3lvTWkt5a0ltLemtJby3prSW9taS3lvTWkt5a0ltLemtJby3prSW9taS3lvTWkt5a0ltLemtJby3prSW9taS3lvTWkt5a0ltLemtJby3prSW9taS3lvTWkt5a0ltLemtJby3prSW9taS3lvTWkt5a0ltLemtJby3prSW9taS3lvTWkt5a0ltLemtJby3prSW9taS3lvTWkt5a0ltLemtJby3prSW9taS3lvTWkt5a0ltLemtJby3prSW9taS3lvTWkt5a0ltLemtJby3prSW9taS3lvTWkt5a0ltL+r7P/u85nGOOOXAPcQtuxV3hrnE3uFvcHW7sDrE7xO4Qu0PsDrE7xO4Qu0PsDrE7xK5gV7Ar2BXsCnYFu4Jdwa5gV7Cr2FXsKnYVu4pdxa5iV7Gr2FXsVtitsFtht8Juhd0KuxV2K+xW2K2wW2O3xm6N3Rq7NXZr7NbYrbFbY7fGboPdBrsNdhvsNthtsNtgt8Fug90Guy12W+y22G2x22K3xW6L3Ra7LXZb7HbY7bDbYbfDbofdDrsddjvsdtjtsNtjt8duj90euz12e+z22O2x22MXvRqiV0P0aoheDdGrIXo1RK+G6NUQvRqiV0P0aoheDdGrIXo1RK+G6NUQvRqiV0P0aoheDdGrIXo1RK+G6NUQvRqiV0P0aoheDdGrIXo1RK+G6NUQvRqiV0P0aoheDdGrIXo1RK+G6NUQvRqiV0P0aoheDdGrIXo1RK+G6NUQvRqiV0P0aoheDdGrIXo1RK+G6NUQvRqiV0P0aoheDdGrIXo1RK+G6NUQvRqiV0P0aoheDdGrIXo1RK+G6NUQvRqiV0P0aoheDdGrIXo1RK+G6NUQvRqiV0P0aoheDdGrIXo1RK+G6NUQvRqiV0P0aoheDdGrIXo1RK+G6NUQvRqiV0P0aoheDdErQa8EvRL0StArQa8EvRL0StArQa8EvRL0StArQa8EvRL0StArQa8EvRL0StArQa8EvRL0StArQa8EvRL0StArQa8EvRL0StArQa8EvRL0StArQa8EvRL0StArQa8EvRL0StArQa8EvRL0StArQa8EvRL0StArQa8EvRL0StArQa8EvRL0StArQa8EvRL0StArQa8EvRL0StArQa8EvRL0StArQa8EvRL0StArQa8EvRL0StArQa8EvRL0StArQa8EvRL0StArQa8EvRL0StArQa8EvRL0StArQa8EvRL0StArRa8UvVL0StErRa8UvVL0StErRa8UvVL0StErRa8UvVL0StErRa8UvVL0StErRa8UvVL0StErRa8UvVL0StErRa8UvVL0StErRa8UvVL0StErRa8UvVL0StErRa8UvVL0StErRa8UvVL0StErRa8UvVL0StErRa8UvVL0StErRa8UvVL0StErRa8UvVL0StErRa8UvVL0StErRa8UvVL0StErRa8UvVL0StErRa8UvVL0StErRa8UvVL0StErRa8UvVL0StErRa8UvVL0StErRa8UvVL0StErRa8UvVL0StGrCr2q0KsKvarQqwq9qtCrCr2q0KsKvarQqwq9qtCrCr2q0KsKvarQqwq9qtCrCr2q0KsKvarQqwq9qtCrCr2q0KsKvarQqwq9qtCrCr2q0KsKvarQqwq9qtCrCr2q0KsKvarQqwq9qtCrCr2q0KsKvarQqwq9qtCrCr2q0KsKvarQqwq9qtCrCr2q0KsKvarQqwq9qtCrCr2q0KsKvarQqwq9qtCrCr2q0KsKvarQqwq9qtCrCr2q0KsKvarQqwq9qtCrCr2q0KsKvarQqwq9qtCrCr2q0KsKvarQqwq9qtCrCr2q0KsKvarQqwq9qtCrCr2q0KsKvarQqxq9qtGrGr2q0asavarRqxq9qtGrGr2q0asavarRqxq9qtGrGr2q0asavarRqxq9qtGrGr2q0asavarRqxq9qtGrGr2q0asavarRqxq9qtGrGr2q0asavarRqxq9qtGrGr2q0asavarRqxq9qtGrGr2q0asavarRqxq9qtGrGr2q0asavarRqxq9qtGrGr2q0asavarRqxq9qtGrGr2q0asavarRqxq9qtGrGr2q0asavarRqxq9qtGrGr2q0asavarRqxq9qtGrGr2q0asavarRqxq9qtGrGr2q0asavarRqxq9qtGrGr2q0asavarRqxq9qtGrGr2q0asGvWrQqwa9atCrBr1q0KsGvWrQqwa9atCrBr1q0KsGvWrQqwa9atCrBr1q0KsGvWrQqwa9atCrBr1q0KsGvWrQqwa9atCrBr1q0KsGvWrQqwa9atCrBr1q0KsGvWrQqwa9atCrBr1q0KsGvWrQqwa9atCrBr1q0KsGvWrQqwa9atCrBr1q0KsGvWrQqwa9atCrBr1q0KsGvWrQqwa9atCrBr1q0KsGvWrQqwa9atCrBr1q0KsGvWrQqwa9atCrBr1q0KsGvWrQqwa9atCrBr1q0KsGvWrQqwa9atCrBr1q0KsGvWrQqwa9atCrBr1q0KsGvWrQqwa9atCrFr1q0asWvWrRqxa9atGrFr1q0asWvWrRqxa9atGrFr1q0asWvWrRqxa9atGrFr1q0asWvWrRqxa9atGrFr1q0asWvWrRqxa9atGrFr1q0asWvWrRqxa9atGrFr1q0asWvWrRqxa9atGrFr1q0asWvWrRqxa9atGrFr1q0asWvWrRqxa9atGrFr1q0asWvWrRqxa9atGrFr1q0asWvWrRqxa9atGrFr1q0asWvWrRqxa9atGrFr1q0asWvWrRqxa9atGrFr1q0asWvWrRqxa9atGrFr1q0asWvWrRqxa9atGrFr1q0asWvWrRqxa9atGrFr1q0asWvWrRqw696tCrDr3q0KsOverQqw696tCrDr3q0KsOverQqw696tCrDr3q0KsOverQqw696tCrDr3q0KsOverQqw696tCrDr3q0KsOverQqw696tCrDr3q0KsOverQqw696tCrDr3q0KsOverQqw696tCrDr3q0KsOverQqw696tCrDr3q0KsOverQqw696tCrDr3q0KsOverQqw696tCrDr3q0KsOverQqw696tCrDr3q0KsOverQqw696tCrDr3q0KsOverQqw696tCrDr3q0KsOverQqw696tCrDr3q0KsOverQqw696tCrDr3q0KsOverQqw696tCrDr3q0KseverRqx696tGrHr3q0aseverRqx696tGrHr3q0aseverRqx696tGrHr3q0aseverRqx696tGrHr3q0aseverRqx696tGrHr3q0aseverRqx696tGrHr3q0aseverRqx696tGrHr3q0aseverRqx696tGrHr3q0aseverRqx696tGrHr3q0aseverRqx696tGrHr3q0aseverRqx696tGrHr3q0aseverRqx696tGrHr3q0aseverRqx696tGrHr3q0aseverRqx696tGrHr3q0aseverRqx696tGrHr3q0aseverRqx696tGrHr3q0aseverRqx69gm8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvF/h2gW8X+HaBbxf4doFvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVvV/h2hW9X+HaFb1f4doVv/z+3/H9TQwX5AAAAAAADAAgAAgAkAAH//wADeJwd08lPFEEUx/HX9d5UjVNVzRghAY2DS6IRIibKop40igvbyCIYwT8AVMCoGMHgwnJ1T9wANS53kYPCQW+aCB5cIqDe9KCAUYxgNOovptPpT75d6epUV1NARI6IW3BVdJYCGsU5hoNpXJ2mQJ1R14hVj+qBe1Uv3Kf64OvqBnxTTcPf1S/4N0cp4DkcI2bLFnbsYM8pcJxTSXEaL0RJcAIlkzPhRbwOXs/bcbeIy1CS3A4f5xPoJ/kU3MEz8Cz/JSUkTCwiEQpEC54vXlLQ45IOZ8h8eIFgFklIJrxIlsHLZQWcJavhNZIL50kBvFbWwetlA7xRNsGbpQQulTI4KeVwhVTAlbIbM9ZKPdwgTXCztOPucTkFd8gt+HYki4JIdiSHOLJKb6ZAF+piYl2iS+EyXQ3X6Bp4l66F6/ReeJ/eT0o36kaUJt0EN+tm+IA+CrfqVoxp020ox3QH3Km70Lv1Ofi8voJ+1TykwAyaQWIzZJ7AT80zeNiMwM/NC/ileQW/Nm/gUTMGj5sP8EfzCf5spuAv5gc8Y2bgWTML/zT4sua3+QP/jWKjRIPoMAXRkegEPBm7QEHsYuwSceyyjVNg59oMYjvfYh1stl0J59hcOM/mk7IFthDeYreib7NFcLHF+tgSm4R32Aq40lbCVbYK3mmr4RpbB+9xiylwS9wSYrfUlcFJt4OUK3cH4UPuEPphdxhucS3wEXcP7nf9GHPf3UcZcA9QHjqskhvy2JM+7ueR8qk+FU7z6XCGx87xCZ+Hku/z4QL/CH7sx+G3/h3GvPcTKJN+EmXKf4W/+Wn4e1hPQdgQNhCHe8NOuCvsgrvDO/DdEO8QDoQD+L/k/99G/wAEdYw/eJzVVd9LFFEU/u7MnZ8r2yLDIjKJiCwiEhKyhIQUiESYhJmUhLSrmcUmIosPIbJEiIREDz1GjxHRg39ADz1HiPQQ/gUR0UP0EBGBnXtndmN1ZnZ22d0Imbtn7vnOnHO+890rGAAbc3gENbeWy8NZvpVfw2ghV1zBBFzwifPTvXAvTV6n9crUOK1Xp8UKHB5CoWgFnFbxxuivbAPqwsK9VThydRcLd25jUKIBkVODSlgNOgy5o8BEJ3owgDFMYgdP8Y58FqHe4iO+k00YZrJ+aZksy+ZZiX1T5pQvalHdlbtc3Vc/cYX3yLeTfIhP8XX+nL/nnzVbG9JmtA3tlfZBh+7qY/qS/ljf1Q8M3RgxZo1N44WxZ/w2B815c0fGM7Mkf7vMJ+Zrc8/8YfVbE9aK9czat77aSTtrL9pb9kt73/6ZyCRmEtuJN4mDxK+OtBfdoVDtjHpiSApOZNfiUalXB11kp6r2PZ+KNLqJBxF51Fs7OsoH4lt4XfTSTn/At//iOv0qgisATtAsT+E0sjiLc6STi5jCNGZxAzexiGXCFY5FMslHtRXsD8o3gCEMYwSjpI9xXCCNXMYM6XYeeSwF1NlINpHJoRxnKl2JHNdkV0u4ixWsYR0bKOEhtilip0k9RnXuSJbLXXssi64FywWsooj72MQDbDWJg3BmDKmIvsokGPEUtwvD113G1w1iZRQnxzsH1bspX+dBEY34FKl276z2BHagVs6Ng6izExfHfS4z9J6mZzAE6aG9r6XoaaR2L0MnIbtDEIqsWmRRqPbwqpm8Wxyy3Eic4t9gabL75Myju2vNV8M5q81I3Jri115rSnFnUB8L9aLbfQ5ac17qQ2v+7MS95s1zOALfrgziNyl5EVb5hhT7CqnaCdS18In/3OG6hn8D1tIrfC1wv8vo/v5lXqEfrcJuHF7/V/6aV1lrOmj93No/68ajPY+HwnHEH2zxf2QAAAB4nO19D1wUyZVwdXVPT89Mz1+GYRiGYRiGYRgmhhjDGZcYQ4hxCSEuawwxHucSgoZlieHz+DxjjMeyxhBiWM+whiOGM8aPeMbzPON5HvE8whli/Igf4YgxxDPG8/M8w/l5njFE4at+1UMXDIPg/svm9sevXj9ev35V9arq1atX1T2IQwgZUSW6jfhnGp6pQs4Nn6hqQIV1z2yqRyuQFwnL31PuR94Pln6UwKfLign8cLkCEZqYQDx5mkMC+UPwP4cwg/NI9+wnGuqR/7lnGp5F+QCXAmx67tnnnkUthFFEeiQhAymDCcnkfx1IxORZRY4fWZEN2ZEDJSEnSkYulILcKBV5UBopQTryoQzCk4kCKAsFUTYKoRwURrkogvJQFL0FLSAyMDIjC1x1JLenUTc6ik6iM2gADaPL6Dqp+RgncBbOzQW4CLeQW8IVcSVcOVfJ1XCbuEPcXe4BFrALB/ASvAL34fN4CI/ga/gWvosf8BJv4738Ar6QL+ZL+TV8FV/LN/Bb+Ca+hd/Nd/D7+UP8Mf4U38uf4wf5S/xV/iZ/hx8TsGAUHIJHCAgRYaGwRCgSSoRyYY1QJdQKDcIWpLQLx18iWuAQR/6Ha0Ef0RXR9xP9T1x94kGhi9SIUAsDpF7kusJDrx/aQLhIfZ+qfapZxfY8dVzFzj11k2LlqDykYkXl6hPlzeWHaM7lZ0H/3NM++v/qq7QEHwmr10tQEq7qJFz5qnNVNz9upPc+7qOl/MS1T4zX+GqK4T93TVVNU83+mv6aG+st68Pry9ZvWX94/eD68Q2RDWs37NpwdsOtT7o/WfzJxk92f/JKLaoNwVOBWm9tYW1V7a7a47VXnnU8u/DZimebnz307HCdVLegbk1da92xusvP2Z4rfK7+uYPPnX/ufn2kfm39nvrB+vFP5X9qw6f2fOrsp8ZpqT41QEvcREsuNt15Xn4++nz583XPt9I6PN/1/JnnrwNuaEbN/ublzQ3Nu5tPNl97QXghQuv0wtIXql9oe6EX/nvihVs7HDuW7qjd0b6jf8fY5xd+vvrz7Z8f2CnuLN65cef+nUNfEL+w9AuNXzj+hVstwZaqlq6Wa1+0fbHwi/Vf7PriYKvQWti6qfVY67Uvub5U9qUdX+r70oNdi3bV7Tq0a+TLzi+Xfrnly/1fHm3ztC1va2g70Db8ouXFZS82vHjoRbUlXjxA6/MVUb261WuE9ALSYl8ppL3hK1fodW81rWVHfsfKjo2U1tFMaX/+oNPbWUT10rm6s7GzvfNE53DnPVrnrwlfC36t+Gv0ee5rjfTZr+2kd78e/Hrx12u/3k5L9fVTCiTXW+r1rnp9QK9dAu1PXbJ69ajXsHpdqF4L1WuJeq1Qr1XqtU69NqrX7ep1Fy1HVye9dg/T61920+uRenr960XqtZ9e/zZEr393n15P7aXX71aq1zv0+g8L6LUX0WvfIL1+/wDVyrlRev3hLno9r/KfH6DXC+sIlJDw27cTe+TB9/A9Mux+g39DxrrMywjzLj4d8YJBMCCTkCakI1nIFALIKgSFELITW/FW5NTl6fKQR3yf+AGUJpaJ5SggflhcjXLECvFjKNdkN7nRW0wfMX0UvcP0MdNatFg+Lh9HS+RT8t+jJ8yp5nT0LnOBuQAVmf/R/DP0XsuHLatRpaXWUovWWV6wvICesfwvy3FE9PyWrugowguWIRkPmJaYlpmWm0pN5aYKU6Wp2lRr2mhqNG01NZl2mnaZ9pg6TF2mg6bDpmOmk6bTpj7TOdMF07BpxHTVdMM0arprGpORLMqy7JDdsk8OyhE5Xy6QC+UieYVcJq+S18jr5Bq5Tm6QN8vb5Ga5RW6T2+VOeb/cLR8hNTgln5HPyuflQfmifFm+Jt+Ub8v35AdmbJbMFrPT7DH7zSFz1LzQvNi81FxsLjGvNK82rzVXmTeY682bzFvM2807zK3m3ea95n3mA+ZD5qPmE+Yec6+53zxgHjJfMl8xXzffMt8x3zePWwSL0WKzuCxeS8AStiywLLIssSyzLLeUWsotFZZKSzXR10ZLo2Wrpcmy07LLssfSYemyHLQcthyznLSctvRZzlkuWIYtI5arlhuWUctdy5gVWUWrbHVY3VafNWiNWPOtBdZCa5F1hbXMusq6xrrOWmOtszZYN1u3WZutLdY2a7u107rf2m09Yj1uPWU9Yz1rPW8dtF60XrZes9603rbesz6wYZtks9icNo/NbwvZoraFtsW2pbZiW4ltpW21ba2tyrbBVm/bZNti227bYWu17bbtte2zHbAdsh21nbD12Hpt/bYB25Dtku2K7brtlu2O7b5t3C7YjXab3WX32gP2sH2BfZF9iX2Zfbm91F5ur7BX2qvttfaN9kb7VnuTfad9l32PvcPeZT9oP2w/Zj9pP23vs5+zX7AP20fsV+037KP2u/YxB3KIDtnhcLgdPkfQEXHkOwochY4ixwpHmWOVY41jnaPGUedocGx2bHM0O1ocbY52R6djv6PbccRx3HHKccZx1nHeMei46LjsuOa46bjtuOd4kISTpCRLkjPJk+RPCiVFkxYmLU5amlScVJK0Mml10tqkqqQNSfVJm5K2JG1P2pHUmrQ7aW/SvqQDSYeSjiadSOpJ6k3qTxpIGkq6lHQl6XrSraQ7SfeTxp2C0+i0OV1OrzPgDDsXOBc5lziXOZc7S53lzgpnpbPaWevc6Gx0bnU2OXc6dzn3ODucXc6DzsPOY86TztPOPuc55wXnsHPEedV5wznqvOscS0bJYrKc7Eh2J/uSg8mR5PzkguTC5KLkFcllyauS1ySvS65JrktuSN6cvC25ObkluS25PbkzeX9yd/KR5OPJp5LPJJ9NPp88mHwx+XLyteSbybeT7yU/cGGX5LK4nC6Py+8KuaKuha7FrqWuYleJa6VrtWutq8q1wVXv2uTa4tru2uFqde127XXtcx1wHXIddZ1w9bh6Xf2uAdeQ65Lriuu665brjuu+azxFSDGm2FJcKd6UQEo4ZUHKopQlKctSlqeUppSnVKRUplSn1KZsTGlM2ZrSlLIzZVfKnpSOlK6UgymHU46lnEw5ndKXci7lQspwykjK1ZQbKaMpd1PG3MgtumW3w+12+9xBd8Sd7y5wF7qL3CvcZe5V7jXude4ad527wb3Zvc3d7G5xt7nb3Z3u/e5u9xH3cfcp9xn3Wfd596D7ovuy+5r7pvu2+577QSpOlVItqc5UT6o/NZQaTV2Yujh1aWpxaknqytTVqWtTq1I3pNanbkrdkro9dUdqa+ru1L2p+1IPpB5KPZp6IrUntTe1P3UgdSj1UuqV1Oupt1LvpN5PHfcIHqPH5nF5vJ6AJ+xZ4FnkWeJZ5lnuKfWUeyo8lZ5qT61no6fRs9XT5Nnp2eXZ4+nwdHkOeg57jnlOek57+jznPBc8w54Rz1XPDc+o565nLI0Y6zQ5zZHmTvOlBdMiaflpBWmFaUVpK9LK0lalrUlbl1aTVpfWkLY5bVtac1pLWltae1pn2v607rQjacfTTqWdSTubdj5tMO1i2uW0a2k3026n3Ut74MVeyWvxOr0er98b8ka9C72LvUu9xd4S70rvau9ab5V3g7feu8m7xbvdu8Pb6t3t3evd5z3gPeQ96j3h7fH2evu9A94h7yXvFe917y3vHe9973i6kG5Mt6W70r3pgfRw+oL0RelL0pelL08vTS9Pr0ivTK9Or03fmN6YvjW9KX1n+q70Pekd6V3pB9MPpx9LP5l+Or0v/Vz6hfTh9JH0q+k30kfT76aP+ZBP9Mk+h8/t8/mCvogv31fgK/QV+Vb4ynyrfGt863w1vjpfg2+zb5uv2dfia/O1+zp9+33dviO+475TvjO+s77zvkHfRd9l3zXfTd9t3z3fgwycIWVYMpwZngx/RigjmrEwY3HG0ozijJKMlRmrM9ZmVGVsyKjP2JSxJWN7xo6M1ozdGXsz9mUcyDiUcTTjREZPRm9Gf8ZAxlDGpYwrGdczbmXcybifMe4X/Ea/ze/ye/0Bf9i/wL/Iv8S/zL/cX+ov91f4K/3V/lr/Rn+jf6u/yb/Tv8u/x9/h7/If9B/2H/Of9J/29/nP+S/4h/0j/qv+G/5R/13/WCbKFDPlTEemO9OXGcyMZOZnFmQWZhZlrsgsy1yVuSZzXWZNZl1mQ+bmzG2ZzZktmW2Z7ZmdmfszuzOPZB7PPJV5JvNs5vnMwcyLmZczr2XezLydeS/zQQAHpIAl4Ax4Av5AKBANLAwsDiwNFAdKAisDqwNrA1WBDYH6wKbAlsD2wI5Aa2B3YG9gX+BA4FDgaOBEoCfQG+gPDASGApcCVwLXA7cCdwL3A+NZQpYxy5blyvJmBbLCWQuyFmUtyVqWtTyrNKs8qyKrMqs6qzZrY1Zj1taspqydWbuy9mR1ZHVlHcw6nHUs62TW6ay+rHNZF7KGs0ayrmbdyBrNups1FkRBMSgHHUF30BcMBiPB/GBBsDBYFFwRLAuuCq4JrgvWBOuCDcHNwW3B5mBLsC3YHuwM7g92B48EjwdPBc8EzwbPBweDF4OXg9eCN4O3g/eCD7JxtpRtyXZme7L92aHsaPbC7MXZS7OLs0uyV2avzl6bXZW9Ibs+e1P2luzt2TuyW7N3Z+/N3pd9IPtQ9tHsE9k92b3Z/dkD2UPZl7KvZF/PvpV9J/t+9nhICBlDtpAr5A0FQuHQgtCi0JLQstDyUGmoPFQRqgxVh2pDG0ONoa2hptDO0K7QnlBHqCt0MHQ4dCx0MnQ61Bc6F7oQGg6NhK6GboRGQ3dDYznEQcuRcxw57hxfTjAnkpOfU5BTmFOUsyKnLGdVzpqcdTk1OXU5DTmbc7blNOe05LTltOd05uzP6c45knM851TOmZyzOedzBnMu5lzOuZZzM+d2zr2cB2EclsKWsDPsCfvDoXA0vDC8OLw0XBwuCa8Mrw6vDVeFN4Trw5vCW8LbwzvCreHd4b3hfeED4UPho+ET4Z5wb7g/PBAeCl8KXwlfD98K3wnfD4/nCrnGXFuuK9ebG8gN5y7IXZS7JHdZ7vLc0tzy3Ircytzq3NrcjbmNuVtzm3J35u7K3ZPbkduVezD3cO6x3JO5p3P7cs/lXsgdzh3JvZp7I3c0927uWARFxIgccUTcEV8kGIlE8iMFkcJIUWRFpCyyKrImsi5SE6mLNEQ2R7ZFmiMtkbZIe6Qzsj/SHTkSOR45FTkTORs5HxmMXIxcjlyL3IzcjtyLPMjDeVKeJc+Z58nz54XyonkL8xbnLc0rzivJW5m3Om9tXlXehrz6vE15W/K25+3Ia83bnbc3b1/egbxDeUfzTuT15PXm9ecN5A3lXcq7knc971benbz7eeNRIWqM2qKuqDcaiIajC6KLokuiy6LLo6XR8mhFtDJaHa2Nbow2RrdGm6I7o7uie6Id0a7owejh6LHoyejpaF/0XPRCdDg6gjjcy5M1NR6d+HMCJX5IgROLCcwXKxUYjys8aGx8/yTeruBkfUBw7oiCc3cBLwG8V+gksFJ5lusFOuC4WEfWVNgRh4f4RYRn+OEekLOXwAbAewG3jG+M4ah/fKnCr6tWKA8vTcW5NkHJMQr5RjUcFwt9sby4KxrOloG7wuBtUOY2JS+uDXcrdVfKg/N1tzWdsLjYOyMeUvKKlZPB83VrFMjge9Ty92n58htj+fIyU7a7jN5UOfF4XHv1a+0Vk6O1HW5hdNKia9XkKzpEY9NxXlbaNyZHwwlPH8Pfp/FrMkn5NfmPavcTDL7/kfwNan+bxInO12n8gKv8FAf+SmH3JH+PUkdcEYdXQJkrVP2EJ/EQ6FBtXxZn212HJvtnpdou/plwrpeWh8UV3cZ4puB9DE/f1Gdxz/jQNLyXkdk7Pa+Z+GHsqPxT8HuvLq7qcM/MOKtz9dk+jYfFlTaK8TP6oXWZwS6xNkHpG2pfVesObdfLtG8CO6by32XsT9us9qdZeF7Bwab5NZzfqHMS/JLa39ZM8lNbHQJbxOI9jH4qGBzGNVc5Lk/qoVIpPxmPaMbx26LZh0fh8X1ewyft5/6p9jNGp7hGn2EeiTK2a4y1adPbblo7LmbaUcMT2ed4OzwFj7OrcxrvGp5ID0RmeLIu5zU8oZ2cr11lbP5M9h/samy+PjFp2/uVsc/isX4yfgPkI4Z/nuV5rPK30/IA3krLA2W+y/QTN50XhKuMnb/K2Pk+bV4AO6POC1AXlR/wR/DP1T8hePmj5ylmXotSHPIdZssQV562OZcnOqU8S6GO/bE5i8VxBZ3jQIcz4NCfGTz27HSczI+bmbly83T50+UQ/bPl2czgIwzeOhOdyNfwkMIzOc+yOJoZTzR+Xyk8Ub4J/NVK6lOpczqLrwO7PRTDCX1yjk7kP0zjoc/O4j9M8vRNfVb1P1lctbGML1EZ5zNM8R9o3ek4YvFE877SB6bO3SreyvCENXx+9p/Oy+zcodqiKfM4M0fPWz7UUeVn1j5XEqwvGF9iKj6zv6HKjOdR5xdqH1h8fusglT/ObyFl1vwEN4NHoQ8DP+oHXM1Xs+FohLHtqv7HD8fkk/nl8GR5eh72xMpDfIOeqWUmeKdW/gT6pOWJMuWhzx7QdTHl6dL4qUxFh6hfw2PyQbdXGDyqjp3DMX7URMsfXx7Kn6A8W5nyHNdwvEV3Fam+Hzeg+34M54fEKJr0AwGn/Pd134jx4Od139H4YU0a8xtvT/If1T2c5M/VcCK/jZHfNsmv+qXgq/g1XPVLHVB38EvJ/Av4dD+T+DmMnwk2gc6zbTCnt6g2RJ60n+CX0rVVjE5xSgf50TnIL6Hr2elyKP8j1oN0Hm+D9SDMm1PWwlNwxZdT9fkIP5nlobGL+c4pULaZ8JljC4nxRHIS4KodnoYn9u2Foxqdl6fGLmK+PeAlqs82Y75UPo1dxOSr8RCFfp2hHwJ6VMHp+J2KK2VQ8TYGn31NXTn3OZGuJZn1cgxPtCZFYAfESd+gDXBmHcfajSn4VB9J869CwgCjQwZn5rUWzS4lpMf87aVTcdXfLmH8bRqHoT58/3Q85s+rbd0aa/cZ1iNds8UPJ9cgGq7yg95ifQkx/J0Mf+cs/NHHKw+zXrs7Zb02c1xuLnGnXibuNM/4J/W9uT8dt0/iyxSc+thcksJPcfQTwBOt0+cbX5rqm7F4An9PV8/wsHg1w1M9B/lxPI/np82TP4Ef9Qi/KH78JvKL2jRfKN4vQrehrcEvIutfZWxKio2NxX8YvAdsrxr/YfC5x4sqNZuA+jVbQfFE44ir1OZZNKbNs+xankti8Erw82P8mx/FP+/4WIJ1VsK5bJ79/xWOV1umr9PRmFaGafhkmxL/U2tfWEdP1ovBhW1o5njIZAxhSnwj4T7CzDiZT+8gbX/k7GRcq1jwTPaTNsCjqj+QiH8xw7+Y4Y/zAWaNE4ZAhzH7xuInZsKJb1COYj5/Dx5Fms8wI32+7T5Lv+pk+hWLb2J4puEsj4rf1dZfZExp6y92TeSevp8V71NNxgOH0JT5jtir5Ywd0/CE8uPsWBOzvmvU1nfE/vQA/wKtP/CY8RVntjO0b8T4Gd8SdKjy03Wcyn+U4W9m5Lcy8lvRVH8gwX7ZlP7WxviuidcRNKa3e7I/zH9PZF77p6r/eYCJGxyYbZ9i/vsOuiRtHmHwHgWPzSMaTsYR6Co+zh+3FlDnkYT8TH/Q2nfSh9mXAJ++hqJzev7426fh6p6mKn+x1u5T/LrJMsT7VxSfd9xsvvvUIXXuVupyAfALgHczcxyDz76Ppvq9IdV+Ho71n4TxmT3jK9BkfEbBid62MXrbNimzR2ecLP8RmHdU/z+Ov13jV20O5Vf9bcVWx/xtDSf8KzX5TH/u1h1i9DCJEzvmZOzAicl5p0KRE5t3mH74eP7kDPuDM+8nJop7JNiPwygd38H/iRDv59+OMF/AvxO5+Gb+18gjPC2sQruEjwhrUJvurbqDaI/uW7rDnKz7a933OZvuB7ofcDm6H4oCFxb1osRViSbRxlWLSWIqVyumiencp8UMMYPbJGaKS7g/Ft8lFnFfFteK67mviJ8Un+X+wuQxZXIHTJWmH3KH5WGzFXvMPvM78CrzS+YzuM7yEcsa3G5Za/kk7rB81tKMuy2ftxzAR38nzo+fRe81/2/zz9CTcH68As6PfxTOj69BG4h+lXbuJuo+Qq7HSTpF0hny/1mSzpM0SNJFki6TdI2kmyTdJonUintAaoZJkkiykOQkyUOSn6QQSVGSFpK0mKSlJBWTVELSSpJWk7SWpCqSNpBUT9ImkraQtJ20+A5ybSWJzBp4L7nuI+kAwQ+R61GSTpDUQ1IvScruyQC5DpF0iaQrJF0n6RZJd0i6T9I40b9AkpH0HxtJLpK8JAUIjfR4fgHBF5G0hODLyHU5SaUELyfXCpIqCV5NrrUkbSSpkfy/lVybSNpJ8F0k7SF4B0ldJB0k6TBJxwj9JLmeJqmPpHMkXSBpmNBHyPUqSTdIGiXpLkljCF7rEUSSlHHxRxNvA5hD4B/ofAQ2TLxzGnxGZ50FBoQPEvjHfAmBm0k9Ffh+Auv4DxG4jX83gU28Eu3cwq8m8POkvgp92eTdbUQbHH6eLwK8BOD7CHxSeJrAZcIzBFYLTxG4VlD2+04IpUD/OIHPAf4xYc8kXg3wD4SPAX5N8YgmFDnlwP8xgBsmKoFf4VnP/0q5O/EtBeoCwDkOnN8GCcoO7Is6PYGfm/gagQuE/1LouneBhP8DPJcA9sNT/wXwHxT98BHFuqKVk7BC8SpxI9i09cItBSr+Hq6Y8CgaA22vV95ieQy4+WU8y8IPaPjE8wl4UqdTJgbmJh8FkY/YrdNI8SpFBRJt98d0izjjJnI39XW3aspbMYo9qwR79kdgz9ah+in2iyP2iyP2i3sd7Bdi7Bci9otT7RfCyklDzX5xqv1C0+wXN4P9IuolSbNfHLFfHLFfiNgvNM1+car9QsoKTrVfiNgvjrFfiNgvjtgvTrVfSLVf3Cz2iyP2i1PtF5pmv7gZ7BcSHIgT3OTqIylIUoSkfJIKSCokqYikFW/aud8jO/f7Ygt5Yu/IKEMOsIsIvRUgN8Od/IR33pbwzsLJO5y+TG9BWD9KrK0fFaFmdBbd4IxclCvjNnK7uePcMHcfe3AhrsTb8X7ch6/zbn4Jv5bfxR/lB/m7gkuo0JWIpeJp8QoZfA7kJjY8iCKkXAWokIy/T/B+AhePf5aM0Q+CRfDDmq1M6aHcXWUNhv4K4gJnCT6ThFplNS7UQpR/kbIy4VeoETfFni2hkTiQMAKeuhHZSG0V+/Q+Ja7AL5pYrUiHmPdJgk/lWMlwLASO4FQOpUfHOMSCmWSwHBD5m1nGRsqhxCKw9+HZxDJAMydn5dj9qHJQGVPLgX8hVswug3Ase5QM5czPrOVw6R5RDt4vbniEDP+Uks4kQ9Xpw7OP0MdelSMmg0cW5EQe0ttDKKrsuys9ShChR9VBj9oHPWpM6VEQC3glWiE+149N5nqN/+P55Arr6Nlz7XxUP4Z19uwyjqoyZhiRCKnWYzb4PcFE4MTEQWRFS1ExKiG2fzVai6rIyq8ebUJb0Ha0A7Wi3Wgv2ocOoEPoKDqBelAv6kcDaAhdQlfQdXRrjrn9LsBBiM5aJjKIRovQClSGVpF17jpUg+pQA5l1thHr2oLaUDvqRPtRNzqCjqNT6AyxuOfRILqILqNr6Ca6je6hB697XR5XA0al5SfehfRTesx0bbxyOX5PGYPo9sSfvFK2kk/ik5SVNfim9/kJhMUG8U+Q0fQO0zuQQ/6QvBIlyX8j/w1KNtvMSchlTja7kcc8Yv45rF3ejLm8GXN5M+by5lrkjbLO4PhSfFCxdMT/f3r2OYnDnMRZOCfn4fxciKwQFnKLuaVcMVfCreRWc2u5Km4DV89t4rZw27kdXCtZPezl9nEHuEPcUe4E18P1cv3cADfEXeKucNe5W9wd7j43jgVsxDbswl4cwGG8AC/CS/AyvByX4nJcQVYd1bgWb8SNeCtuwjvxLgx71aKFQId+CUAl4j+uV/qVQ6oBqPTJYsWbx0uECwSu4e8pUHgRWlw5r7lO+Bz0mRroXcrpzD8SHgB9VIG6LwGu9LpP6I4ABe6KnPKUuAXg/wTYBnIOAf6ninxxK1A2A+VDGq7Cfig/fWoEeLZO4uuVfSP8nKicuvic+E1lxIk/UPonwO+A/GXi38FTyqhp1CnPfkz8AEBltCaJP1NqJCYreoDTG/mQV4Wo2NIndV0gEyhoQoFcL0BFTgWuA1w521pHbLxCaQRKAwOBk2tLAIeVUnH/odQFnl2PFXtixpcAHwVI8X0AWxjORoYCkFsFcAOZV9NgLkV8KplLOZhLRZhL9TCXGmEulWEutcJcmgxzqYvMpU+hdJhLM8WPimtQFplLk1G2KYXMqBGYUaMwo74VZtS3kbnUixaSWbQXFZj7zP+EFpO5dAAtMV8wD6JC85D5n9G7zRfJ7PoemF3fR+bVv0TLLd8ms+sHSCm9r1spv2/+ASmlUtZ3QVnfDWUtgrIWQ1lXQFmfhLKWEU8ccWtIWkdSDUl1JDWQtJmkbSQ1k9RCUhtJ7SR1krSfJOo5IOI5IOI5oN8Bz2F6tBMx0c6ZPIfp0c6ZPIfp0c6Y5zA92okYzwGpnkNs1n6jz9Hs7DxlXp51Rp7vXJxo/n1t51yYYecyt855J+MaUs6duMmsmkzW+wvR4jmtgYmeHiq6rx5/lsCOh8ruc/dDJerS/UCxu40PlbnruYc/AE6K/5mixfG3KvDhV5UeNE48U7zvoXIqvg5ONddBvI3S6+CdwRhFgevhFMH6h2Wk1Mlk9fIbsl5J4d1iubL2MLmUNYY5nawuvmc+a/6R+cfmYfNPyJpCefvC/Qjuc+Yfms9PecZNdENGMak9IvVHRAOI6AARLSCiB0Q0gYguENEGIvpARCMIkVGMyCgm+kSIjGJERjEioxiRUYzIKEZkFCMyihEZxUq0YIr/HO85U8+TepvUw6Q+5BSf8BWMQ0+PvL49YUx20ZQ7bpKcJHmB8o7JezPfL5h2H5P7XuCglD94xP3FcfI9UDpM1rQBoL1zCkciriUzcJE1MfKpdaVcT8yJq3AGLh64AsBHae+aE9fSOC7tK3sW4SXhJYT0P9CfR5z+R/ofI51+WH8RGfU/0/8rMuv/XT+K3Ppf63+NvPrf6H+L0vUTZBLzG79i3IsCpuWm96OQHJADKCxvkjehXLlRbkTEsnF9ygobe4kFWIRq0UbUiLaiJrQT7UJ7UAfqQgfRYXQMnUSnUR86hy6gYTSCrqIbaBTdRWPEzRQ5mXNwbs7HBbkIl88VcIVcEbeCK+NWcWu4dVwNV8c1cJu5bVwz18K1ce1cJ1ionXOFcOKMpXx5Vv48Bu+Zcy4VGs5dmXvZ4p8CuzXPZ1XI03dT4FTdn2m15r47iSvfk9URO6/0pw8Ti70WPYMWvGp9I4/kQ3wostJCZK2FyGoLkfUWIisuRNZciKy6EFl3ITKHILL2QmT1hcj6C6EHilEhiWTBER+KI6OXIz4U5yeJ+FDEb0cc8aE44kNxxIfiiA/FER+KIz4Up/h7xIfiiPUl/jTiiPXliPXliPXliPXliPXliPXliPXliPXliPXliPXlDoGGXgLYOQnzQa/5qo5LGX0fZPDSaU9NpZfG0XfG8XdqnOOLAP40Lsc4+QxP/gzyKVw3CStU/CIj5yWGso6xFSbchjsVD5P4mGboGxbxM+JnkFX/9/q/RzZpQLqF7KaVppUo31RuKkdvM60yrSKe+q/Mv0JvN98x/ydY+W4y13GkB8jIiuh+QCL/IDaTbFYgdwzwbwAuT+yO4dR/4Y5OZBD4n3GzUAgpuwt/ruIK7AD7Z8WH8FF8DH8Hn8Q/MG4yBUxZpqAp2xQy5ZjCplzEwVOKrVR8iArlGWOh0YIEYwUp+crYahx34C58EB8mkk7i07gPn8MX8DAewVfxDTyK7+IxYpBFsi5y8G7exwf5CJ/PF/CFfBG/gi/jV/Fr+HV8DV/HN/Cb+W18M9/Ct/HtfCe/n+/mj/DH+VP8Gf4sf54f5C/yl/lr/E3+Nn+PfyBgQRIsglPwCH4hJESFhcJiYalQLJQIK4XVwlqhStgg1AubhC3CdmGH0CrsFvYK+4QDwiHhqHBC6BF6hX5hQBgSLglXhOvCLeGOcF8Y1wk6o86mc+m8uoAurFugW6RbolumW64r1ZXrKnSVumpdrW6jjqy7dU26nbpduj26Dl2X7qDusO6Y7qTutK5Pd053QTesG9Fd1d3Qjeru6sZEJIqiLDpEt+gTg2JEzBcLxEKxSFxB1n2rxDXiOrFGrBMbxM3iNrFZbBHbxHaxU9wvdotHxOPiKfGMeFY8Lw6KF8XL4jXxpnhbvCc+0GO9pLfonXqP3q8P6aP6hfrF+qX6Yn2JfqV+tX6tvkq/QV+v36Tfot+u36Fv1e/W79Xv0x/QH9If1Z/Q9+h79f36Af2Q/pL+iv66/pb+jv6+flwSJKNkk1ySVwpIYWmBtEhaIi2TlkulUrlUIVVK1VKttFFqlLZKTdJOaZe0R+qQuqSD0mHpmHRSOi31SeekC9KwNCJdlW5Io9JdacyADKJBNjgMboPPEDREDPmGAkOhociwwlBmWGVYY1hnqDHUGRoMmw3bDM2GFkObod3Qadhv6DYcMRw3nDKcMZw1nDcMGi4aLhuuGW4abhvuGZRoTDaMhJMAPwB9+t+gf9uBcgDgHwD9n2eljwH8EtB7AK4ESiL5TwJlBODHAJpn5U9E/whQbgL8LMA0oD8N+PXp8rlvA1wGEj6twIm/BMq/AGwASL+PTm3EA4BfBhgA+hmQ/06gnAf4R0B/CPT3AmUY4CcB6gG+BDygmYlfAkwHOmhPmU3I3d8C/OpschLqn9EP+jFAqk+aO1gr7i1A/yHAnwPEUJJcBY5/fFb5oDFuiJEG1lBZs5O7oD0lJgF7IwoeBPxvAZaAnBuz6i1RO86TztFWK4hr368moCdo34Ttnkg/ier7StHfKOP09RqPicbdfMfXPMfR6zZeErVLgvIk0mfCeiWiJ2rf+drtefbDhOXfHffU6tnaV9k5JPCPgQe0pERLZ9HzKzWOZpaPkR5/A5MejP8J/2/kI17fTZQjflb8LCoybjJuQu8lHmUuKjaPmv8fKlV+94P4zkp0toP4nwZTnuktyAjeMf31jSWEYxlJy0lS+lk5yaWCpEqSqkmqJfSNZJXWSNJWkpoIbWfML308qKyXpkKg098scaixCITezUQWEMRMYtETREo8NfLw8u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/*
Copyright 2012 Mozilla Foundation
Copyright 2013 Lu Wang <coolwanglu@gmail.com>
Apachine License Version 2.0
*/
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(function(){/*
pdf2htmlEX.js: Core UI functions for pdf2htmlEX
Copyright 2012,2013 Lu Wang <coolwanglu@gmail.com> and other contributors
https://github.com/pdf2htmlEX/pdf2htmlEX/blob/master/share/LICENSE
*/
var pdf2htmlEX=window.pdf2htmlEX=window.pdf2htmlEX||{},CSS_CLASS_NAMES={page_frame:"pf",page_content_box:"pc",page_data:"pi",background_image:"bi",link:"l",input_radio:"ir",__dummy__:"no comma"},DEFAULT_CONFIG={container_id:"page-container",sidebar_id:"sidebar",outline_id:"outline",loading_indicator_cls:"loading-indicator",preload_pages:3,render_timeout:100,scale_step:0.9,key_handler:!0,hashchange_handler:!0,view_history_handler:!0,__dummy__:"no comma"},EPS=1E-6;
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function(a){h.navigate_to_dest(document.location.hash.substring(1))},!1);this.config.view_history_handler&&window.addEventListener("popstate",function(a){a.state&&h.navigate_to_dest(a.state)},!1);this.container.addEventListener("scroll",function(){h.update_page_idx();h.schedule_render(!0)},!1);[this.container,this.outline].forEach(function(a){a.addEventListener("click",h.link_handler.bind(h),!1)});this.initialize_radio_button();this.render()}},find_pages:function(){for(var a=[],b={},c=this.container.childNodes,
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}catch(e){}
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class="c x0 y1 w2 h0"><div class="t m0 x1 h2 y2 ff1 fs0 fc0 sc0 ls1 ws1">Copyright<span class="_ _0"></span> (c) 202<span class="_ _0"></span>2 Robin R<span class="_ _0"></span>ombach a<span class="_ _0"></span>nd Patric<span class="_ _0"></span>k Esse<span class="_ _0"></span>r and co<span class="_ _0"></span>ntributor<span class="_ _0"></span>s </div><div class="t m0 x1 h2 y3 ff1 fs0 fc0 sc0 ls1 ws1"> </div><div class="t m0 x1 h2 y4 ff1 fs0 fc0 sc0 ls1 ws1">CreativeM<span class="_ _0"></span>L Open R<span class="_ _0"></span>AIL-M </div><div class="t m0 x1 h2 y5 ff1 fs0 fc0 sc0 ls1 ws1">dated Aug<span class="_ _0"></span>ust 22, <span class="_ _0"></span>2022 </div><div class="t m0 x1 h2 y6 ff1 fs0 fc0 sc0 ls1 ws1"> </div><div class="t m0 x1 h2 y7 ff1 fs0 fc0 sc0 ls1 ws1">Section I<span class="_ _0"></span>: PREAMB<span class="_ _0"></span>LE </div><div class="t m0 x1 h2 y8 ff1 fs0 fc0 sc0 ls1 ws1"> </div><div class="t m0 x1 h2 y9 ff1 fs0 fc0 sc0 ls1 ws1">Multimoda<span class="_ _0"></span>l genera<span class="_ _0"></span>tive mode<span class="_ _0"></span>ls are b<span class="_ _0"></span>eing wide<span class="_ _0"></span>ly ado<span class="_ _0"></span>pted and<span class="_ _0"></span> used, an<span class="_ _0"></span>d have </div><div class="t m0 x1 h2 ya ff1 fs0 fc0 sc0 ls1 ws1">the poten<span class="_ _0"></span>tial to <span class="_ _0"></span>transform<span class="_ _0"></span> the way<span class="_ _0"></span> artists,<span class="_ _0"></span> among oth<span class="_ _0"></span>er indivi<span class="_ _0"></span>duals,<span class="_ _0"></span> </div><div class="t m0 x1 h2 yb ff1 fs0 fc0 sc0 ls1 ws1">conceive <span class="_ _0"></span>and bene<span class="_ _0"></span>fit from <span class="_ _0"></span>AI or ML<span class="_ _0"></span> technolo<span class="_ _0"></span>gies a<span class="_ _0"></span>s a tool<span class="_ _0"></span> for cont<span class="_ _0"></span>ent </div><div class="t m0 x1 h2 yc ff1 fs0 fc0 sc0 ls1 ws1">creation.<span class="_ _0"></span> </div><div class="t m0 x1 h2 yd ff1 fs0 fc0 sc0 ls1 ws1"> </div><div class="t m0 x1 h2 ye ff1 fs0 fc0 sc0 ls1 ws1">Notwithst<span class="_ _0"></span>anding t<span class="_ _0"></span>he curren<span class="_ _0"></span>t and po<span class="_ _0"></span>tential b<span class="_ _0"></span>enefit<span class="_ _0"></span>s that t<span class="_ _0"></span>hese arti<span class="_ _0"></span>facts </div><div class="t m0 x1 h2 yf ff1 fs0 fc0 sc0 ls1 ws1">can bring<span class="_ _0"></span> to soci<span class="_ _0"></span>ety at la<span class="_ _0"></span>rge, the<span class="_ _0"></span>re are al<span class="_ _0"></span>so con<span class="_ _0"></span>cerns ab<span class="_ _0"></span>out poten<span class="_ _0"></span>tial </div><div class="t m0 x1 h2 y10 ff1 fs0 fc0 sc0 ls1 ws1">misuses o<span class="_ _0"></span>f them, <span class="_ _0"></span>either du<span class="_ _0"></span>e to the<span class="_ _0"></span>ir techni<span class="_ _0"></span>cal li<span class="_ _0"></span>mitation<span class="_ _0"></span>s or ethi<span class="_ _0"></span>cal </div><div class="t m0 x1 h2 y11 ff1 fs0 fc0 sc0 ls1 ws1">considera<span class="_ _0"></span>tions. </div><div class="t m0 x1 h2 y12 ff1 fs0 fc0 sc0 ls1 ws1"> </div><div class="t m0 x1 h2 y13 ff1 fs0 fc0 sc0 ls1 ws1">In short,<span class="_ _0"></span> this li<span class="_ _0"></span>cense str<span class="_ _0"></span>ives for<span class="_ _0"></span> both the<span class="_ _0"></span> open <span class="_ _0"></span>and resp<span class="_ _0"></span>onsible </div><div class="t m0 x1 h2 y14 ff1 fs0 fc0 sc0 ls1 ws1">downstrea<span class="_ _0"></span>m use of<span class="_ _0"></span> the acco<span class="_ _0"></span>mpanying<span class="_ _0"></span> model. W<span class="_ _0"></span>hen it<span class="_ _0"></span> comes t<span class="_ _0"></span>o the ope<span class="_ _0"></span>n </div><div class="t m0 x1 h2 y15 ff1 fs0 fc0 sc0 ls1 ws1">character<span class="_ _0"></span>, we too<span class="_ _0"></span>k inspira<span class="_ _0"></span>tion fro<span class="_ _0"></span>m open so<span class="_ _0"></span>urce permi<span class="_ _0"></span>ssive lic<span class="_ _0"></span>enses </div><div class="t m0 x1 h2 y16 ff1 fs0 fc0 sc0 ls1 ws1">regarding<span class="_ _0"></span> the gra<span class="_ _0"></span>nt of IP <span class="_ _0"></span>rights. <span class="_ _0"></span>Referring<span class="_ _0"></span> to th<span class="_ _0"></span>e downst<span class="_ _0"></span>ream resp<span class="_ _0"></span>onsible </div><div class="t m0 x1 h2 y17 ff1 fs0 fc0 sc0 ls1 ws1">use, we a<span class="_ _0"></span>dded use<span class="_ _0"></span>-based re<span class="_ _0"></span>strictio<span class="_ _0"></span>ns not pe<span class="_ _0"></span>rmitting<span class="_ _0"></span> the u<span class="_ _0"></span>se of the<span class="_ _0"></span> Model </div><div class="t m0 x1 h2 y18 ff1 fs0 fc0 sc0 ls1 ws1">in very s<span class="_ _0"></span>pecific <span class="_ _0"></span>scenarios<span class="_ _0"></span>, in ord<span class="_ _0"></span>er for th<span class="_ _0"></span>e lice<span class="_ _0"></span>nsor to <span class="_ _0"></span>be able t<span class="_ _0"></span>o </div><div class="t m0 x1 h2 y19 ff1 fs0 fc0 sc0 ls1 ws1">enforce t<span class="_ _0"></span>he licen<span class="_ _0"></span>se in case <span class="_ _0"></span>potent<span class="_ _0"></span>ial misus<span class="_ _0"></span>es of th<span class="_ _0"></span>e Model m<span class="_ _0"></span>ay occur<span class="_ _0"></span>. At </div><div class="t m0 x1 h2 y1a ff1 fs0 fc0 sc0 ls1 ws1">the same <span class="_ _0"></span>time, we<span class="_ _0"></span> strive t<span class="_ _0"></span>o promot<span class="_ _0"></span>e open an<span class="_ _0"></span>d resp<span class="_ _0"></span>onsible <span class="_ _0"></span>research <span class="_ _0"></span>on </div><div class="t m0 x1 h2 y1b ff1 fs0 fc0 sc0 ls1 ws1">generativ<span class="_ _0"></span>e models<span class="_ _0"></span> for art <span class="_ _0"></span>and cont<span class="_ _0"></span>ent gener<span class="_ _0"></span>ation. </div><div class="t m0 x1 h2 y1c ff1 fs0 fc0 sc0 ls1 ws1"> </div><div class="t m0 x1 h2 y1d ff1 fs0 fc0 sc0 ls1 ws1">Even thou<span class="_ _0"></span>gh downs<span class="_ _0"></span>tream der<span class="_ _0"></span>ivative <span class="_ _0"></span>versions <span class="_ _0"></span>of the<span class="_ _0"></span> model c<span class="_ _0"></span>ould be r<span class="_ _0"></span>eleased </div><div class="t m0 x1 h2 y1e ff1 fs0 fc0 sc0 ls1 ws1">under dif<span class="_ _0"></span>ferent l<span class="_ _0"></span>icensing <span class="_ _0"></span>terms, t<span class="_ _0"></span>he latter<span class="_ _0"></span> will <span class="_ _0"></span>always h<span class="_ _0"></span>ave to in<span class="_ _0"></span>clude - </div><div class="t m0 x1 h2 y1f ff1 fs0 fc0 sc0 ls1 ws1">at minimu<span class="_ _0"></span>m - the <span class="_ _0"></span>same use-ba<span class="_ _0"></span>sed re<span class="_ _0"></span>striction<span class="_ _0"></span>s as the<span class="_ _0"></span> ones in <span class="_ _0"></span>the orig<span class="_ _0"></span>inal </div><div class="t m0 x1 h2 y20 ff1 fs0 fc0 sc0 ls1 ws1">license (<span class="_ _0"></span>this lic<span class="_ _0"></span>ense). We<span class="_ _0"></span> believe<span class="_ _0"></span> in the i<span class="_ _0"></span>nterse<span class="_ _0"></span>ction be<span class="_ _0"></span>tween ope<span class="_ _0"></span>n and </div><div class="t m0 x1 h2 y21 ff1 fs0 fc0 sc0 ls1 ws1">responsib<span class="_ _0"></span>le AI de<span class="_ _0"></span>velopment<span class="_ _0"></span>; thus, <span class="_ _0"></span>this Lice<span class="_ _0"></span>nse aims t<span class="_ _0"></span>o strike <span class="_ _0"></span>a bala<span class="_ _0"></span>nce </div><div class="t m0 x1 h2 y22 ff1 fs0 fc0 sc0 ls1 ws1">between b<span class="_ _0"></span>oth in o<span class="_ _0"></span>rder to e<span class="_ _0"></span>nable re<span class="_ _0"></span>sponsible<span class="_ _0"></span> open-scie<span class="_ _0"></span>nce in th<span class="_ _0"></span>e fiel<span class="_ _0"></span>d of </div><div class="t m0 x1 h2 y23 ff1 fs0 fc0 sc0 ls0 ws0">AI.<span class="ls1 ws1"> </span></div><div class="t m0 x1 h2 y24 ff1 fs0 fc0 sc0 ls1 ws1"> </div><div class="t m0 x1 h2 y25 ff1 fs0 fc0 sc0 ls1 ws1">This Lice<span class="_ _0"></span>nse gove<span class="_ _0"></span>rns the u<span class="_ _0"></span>se of th<span class="_ _0"></span>e model (<span class="_ _0"></span>and it<span class="_ _0"></span>s deriva<span class="_ _0"></span>tives) an<span class="_ _0"></span>d is </div><div class="t m0 x1 h2 y26 ff1 fs0 fc0 sc0 ls1 ws1">informed <span class="_ _0"></span>by the m<span class="_ _0"></span>odel card<span class="_ _0"></span> associa<span class="_ _0"></span>ted with <span class="_ _0"></span>the mo<span class="_ _0"></span>del. </div><div class="t m0 x1 h2 y27 ff1 fs0 fc0 sc0 ls1 ws1"> </div><div class="t m0 x1 h2 y28 ff1 fs0 fc0 sc0 ls1 ws1">NOW THERE<span class="_ _0"></span>FORE, Yo<span class="_ _0"></span>u and Licen<span class="_ _0"></span>sor ag<span class="_ _0"></span>ree as fo<span class="_ _0"></span>llows: </div><div class="t m0 x1 h2 y29 ff1 fs0 fc0 sc0 ls1 ws1"> </div><div class="t m0 x1 h2 y2a ff1 fs0 fc0 sc0 ls1 ws1">1. Defini<span class="_ _0"></span>tions </div><div class="t m0 x1 h2 y2b ff1 fs0 fc0 sc0 ls1 ws1"> </div><div class="t m0 x1 h2 y2c ff1 fs0 fc0 sc0 ls1 ws1">- "Licens<span class="_ _0"></span>e" means<span class="_ _0"></span> the term<span class="_ _0"></span>s and co<span class="_ _0"></span>nditions <span class="_ _0"></span>for us<span class="_ _0"></span>e, repro<span class="_ _0"></span>duction, <span class="_ _0"></span>and </div><div class="t m0 x1 h2 y2d ff1 fs0 fc0 sc0 ls1 ws1">Distribut<span class="_ _0"></span>ion as d<span class="_ _0"></span>efined in<span class="_ _0"></span> this do<span class="_ _0"></span>cument. </div><div class="t m0 x1 h2 y2e ff1 fs0 fc0 sc0 ls1 ws1">- "Data" <span class="_ _0"></span>means a <span class="_ _0"></span>collectio<span class="_ _0"></span>n of inf<span class="_ _0"></span>ormation <span class="_ _0"></span>and/or<span class="_ _0"></span> content<span class="_ _0"></span> extracte<span class="_ _0"></span>d from </div><div class="t m0 x1 h2 y2f ff1 fs0 fc0 sc0 ls1 ws1">the datas<span class="_ _0"></span>et used <span class="_ _0"></span>with the <span class="_ _0"></span>Model, i<span class="_ _0"></span>ncluding <span class="_ _0"></span>to train<span class="_ _0"></span>, pretrai<span class="_ _0"></span>n, or </div><div class="t m0 x1 h2 y30 ff1 fs0 fc0 sc0 ls1 ws1">otherwise<span class="_ _0"></span> evaluat<span class="_ _0"></span>e the Mod<span class="_ _0"></span>el. The <span class="_ _0"></span>Data is n<span class="_ _0"></span>ot lic<span class="_ _0"></span>ensed un<span class="_ _0"></span>der this </div><div class="t m0 x1 h2 y31 ff1 fs0 fc0 sc0 ls1 ws1">License.<span class="_ _0"></span> </div><div class="t m0 x1 h2 y32 ff1 fs0 fc0 sc0 ls1 ws1">- "Output<span class="_ _0"></span>" means <span class="_ _0"></span>the resul<span class="_ _0"></span>ts of op<span class="_ _0"></span>erating a<span class="_ _0"></span> Model<span class="_ _0"></span> as embo<span class="_ _0"></span>died in </div><div class="t m0 x1 h2 y33 ff1 fs0 fc0 sc0 ls1 ws1">informati<span class="_ _0"></span>onal con<span class="_ _0"></span>tent resu<span class="_ _0"></span>lting th<span class="_ _0"></span>erefrom. </div><div class="t m0 x1 h2 y34 ff1 fs0 fc0 sc0 ls1 ws1">- "Model"<span class="_ _0"></span> means a<span class="_ _0"></span>ny accomp<span class="_ _0"></span>anying m<span class="_ _0"></span>achine-lear<span class="_ _0"></span>ning bas<span class="_ _0"></span>ed assemb<span class="_ _0"></span>lies </div><div class="t m0 x1 h2 y35 ff1 fs0 fc0 sc0 ls1 ws1">(includin<span class="_ _0"></span>g checkp<span class="_ _0"></span>oints), c<span class="_ _0"></span>onsistin<span class="_ _0"></span>g of lear<span class="_ _0"></span>nt wei<span class="_ _0"></span>ghts, pa<span class="_ _0"></span>rameters </div><div class="t m0 x1 h2 y36 ff1 fs0 fc0 sc0 ls1 ws1">(includin<span class="_ _0"></span>g optimi<span class="_ _0"></span>zer state<span class="_ _0"></span>s), corr<span class="_ _0"></span>esponding<span class="_ _0"></span> to th<span class="_ _0"></span>e model <span class="_ _0"></span>architect<span class="_ _0"></span>ure as </div></div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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class="c x0 y1 w2 h0"><div class="t m0 x1 h2 y2 ff1 fs0 fc0 sc0 ls1 ws1">embodied <span class="_ _0"></span>in the C<span class="_ _0"></span>omplement<span class="_ _0"></span>ary Mate<span class="_ _0"></span>rial, tha<span class="_ _0"></span>t have<span class="_ _0"></span> been tr<span class="_ _0"></span>ained or <span class="_ _0"></span>tuned, </div><div class="t m0 x1 h2 y3 ff1 fs0 fc0 sc0 ls1 ws1">in whole <span class="_ _0"></span>or in pa<span class="_ _0"></span>rt on the<span class="_ _0"></span> Data, u<span class="_ _0"></span>sing the <span class="_ _0"></span>Comple<span class="_ _0"></span>mentary <span class="_ _0"></span>Material. </div><div class="t m0 x1 h2 y4 ff1 fs0 fc0 sc0 ls1 ws1">- "Deriva<span class="_ _0"></span>tives of<span class="_ _0"></span> the Mode<span class="_ _0"></span>l" means<span class="_ _0"></span> all modi<span class="_ _0"></span>ficati<span class="_ _0"></span>ons to t<span class="_ _0"></span>he Model,<span class="_ _0"></span> works </div><div class="t m0 x1 h2 y5 ff1 fs0 fc0 sc0 ls1 ws1">based on <span class="_ _0"></span>the Mode<span class="_ _0"></span>l, or any<span class="_ _0"></span> other m<span class="_ _0"></span>odel whic<span class="_ _0"></span>h is c<span class="_ _0"></span>reated o<span class="_ _0"></span>r initial<span class="_ _0"></span>ized by </div><div class="t m0 x1 h2 y6 ff1 fs0 fc0 sc0 ls1 ws1">transfer <span class="_ _0"></span>of patte<span class="_ _0"></span>rns of th<span class="_ _0"></span>e weight<span class="_ _0"></span>s, parame<span class="_ _0"></span>ters, <span class="_ _0"></span>activations o<span class="_ _0"></span>r outp<span class="_ _0"></span>ut of </div><div class="t m0 x1 h2 y7 ff1 fs0 fc0 sc0 ls1 ws1">the Model<span class="_ _0"></span>, to the<span class="_ _0"></span> other mo<span class="_ _0"></span>del, in <span class="_ _0"></span>order to <span class="_ _0"></span>cause <span class="_ _0"></span>the othe<span class="_ _0"></span>r model t<span class="_ _0"></span>o </div><div class="t m0 x1 h2 y8 ff1 fs0 fc0 sc0 ls1 ws1">perform s<span class="_ _0"></span>imilarly<span class="_ _0"></span> to the M<span class="_ _0"></span>odel, in<span class="_ _0"></span>cluding - b<span class="_ _0"></span>ut not l<span class="_ _0"></span>imited to<span class="_ _0"></span> - </div><div class="t m0 x1 h2 y9 ff1 fs0 fc0 sc0 ls1 ws1">distillat<span class="_ _0"></span>ion meth<span class="_ _0"></span>ods entai<span class="_ _0"></span>ling the<span class="_ _0"></span> use of i<span class="_ _0"></span>nterme<span class="_ _0"></span>diate da<span class="_ _0"></span>ta </div><div class="t m0 x1 h2 ya ff1 fs0 fc0 sc0 ls1 ws1">represent<span class="_ _0"></span>ations o<span class="_ _0"></span>r methods<span class="_ _0"></span> based o<span class="_ _0"></span>n the gen<span class="_ _0"></span>eration of<span class="_ _0"></span> syntheti<span class="_ _0"></span>c data<span class="_ _0"></span> by </div><div class="t m0 x1 h2 yb ff1 fs0 fc0 sc0 ls1 ws1">the Model<span class="_ _0"></span> for tra<span class="_ _0"></span>ining the<span class="_ _0"></span> other m<span class="_ _0"></span>odel. </div><div class="t m0 x1 h2 yc ff1 fs0 fc0 sc0 ls1 ws1">- "Comple<span class="_ _0"></span>mentary <span class="_ _0"></span>Material"<span class="_ _0"></span> means t<span class="_ _0"></span>he accomp<span class="_ _0"></span>anying<span class="_ _0"></span> source <span class="_ _0"></span>code and <span class="_ _0"></span>scripts </div><div class="t m0 x1 h2 yd ff1 fs0 fc0 sc0 ls1 ws1">used to d<span class="_ _0"></span>efine, r<span class="_ _0"></span>un, load,<span class="_ _0"></span> benchma<span class="_ _0"></span>rk or eva<span class="_ _0"></span>luate <span class="_ _0"></span>the Mode<span class="_ _0"></span>l, and us<span class="_ _0"></span>ed to </div><div class="t m0 x1 h2 ye ff1 fs0 fc0 sc0 ls1 ws1">prepare d<span class="_ _0"></span>ata for <span class="_ _0"></span>training <span class="_ _0"></span>or evalu<span class="_ _0"></span>ation, if a<span class="_ _0"></span>ny. This<span class="_ _0"></span> includes<span class="_ _0"></span> any </div><div class="t m0 x1 h2 yf ff1 fs0 fc0 sc0 ls1 ws1">accompany<span class="_ _0"></span>ing docu<span class="_ _0"></span>mentation<span class="_ _0"></span>, tutori<span class="_ _0"></span>als, exam<span class="_ _0"></span>ples, <span class="_ _0"></span>etc, if <span class="_ _0"></span>any. </div><div class="t m0 x1 h2 y10 ff1 fs0 fc0 sc0 ls1 ws1">- "Distri<span class="_ _0"></span>bution" <span class="_ _0"></span>means any<span class="_ _0"></span> transmi<span class="_ _0"></span>ssion, re<span class="_ _0"></span>produc<span class="_ _0"></span>tion, pu<span class="_ _0"></span>blication<span class="_ _0"></span> or </div><div class="t m0 x1 h2 y11 ff1 fs0 fc0 sc0 ls1 ws1">other sha<span class="_ _0"></span>ring of <span class="_ _0"></span>the Model<span class="_ _0"></span> or Deri<span class="_ _0"></span>vatives o<span class="_ _0"></span>f the <span class="_ _0"></span>Model to<span class="_ _0"></span> a third <span class="_ _0"></span>party, </div><div class="t m0 x1 h2 y12 ff1 fs0 fc0 sc0 ls1 ws1">including<span class="_ _0"></span> providi<span class="_ _0"></span>ng the Mode<span class="_ _0"></span>l as a<span class="_ _0"></span> hosted s<span class="_ _0"></span>ervice m<span class="_ _0"></span>ade avail<span class="_ _0"></span>able by </div><div class="t m0 x1 h2 y13 ff1 fs0 fc0 sc0 ls1 ws1">electroni<span class="_ _0"></span>c or oth<span class="_ _0"></span>er remote<span class="_ _0"></span> means -<span class="_ _0"></span> e.g. API-b<span class="_ _0"></span>ased or <span class="_ _0"></span>web acces<span class="_ _0"></span>s. </div><div class="t m0 x1 h2 y14 ff1 fs0 fc0 sc0 ls1 ws1">- "Licens<span class="_ _0"></span>or" mean<span class="_ _0"></span>s the cop<span class="_ _0"></span>yright o<span class="_ _0"></span>wner or e<span class="_ _0"></span>ntity <span class="_ _0"></span>authoriz<span class="_ _0"></span>ed by the<span class="_ _0"></span> </div><div class="t m0 x1 h2 y15 ff1 fs0 fc0 sc0 ls1 ws1">copyright<span class="_ _0"></span> owner t<span class="_ _0"></span>hat is gr<span class="_ _0"></span>anting t<span class="_ _0"></span>he Licens<span class="_ _0"></span>e, inc<span class="_ _0"></span>luding t<span class="_ _0"></span>he person<span class="_ _0"></span>s or </div><div class="t m0 x1 h2 y16 ff1 fs0 fc0 sc0 ls1 ws1">entities <span class="_ _0"></span>that may<span class="_ _0"></span> have rig<span class="_ _0"></span>hts in t<span class="_ _0"></span>he Model <span class="_ _0"></span>and/or<span class="_ _0"></span> distrib<span class="_ _0"></span>uting the<span class="_ _0"></span> Model. </div><div class="t m0 x1 h2 y17 ff1 fs0 fc0 sc0 ls1 ws1">- "You" (<span class="_ _0"></span>or "Your<span class="_ _0"></span>") means <span class="_ _0"></span>an indiv<span class="_ _0"></span>idual or <span class="_ _0"></span>Legal <span class="_ _0"></span>Entity e<span class="_ _0"></span>xercising<span class="_ _0"></span> </div><div class="t m0 x1 h2 y18 ff1 fs0 fc0 sc0 ls1 ws1">permissio<span class="_ _0"></span>ns grant<span class="_ _0"></span>ed by thi<span class="_ _0"></span>s Licens<span class="_ _0"></span>e and/or <span class="_ _0"></span>making<span class="_ _0"></span> use of <span class="_ _0"></span>the Model<span class="_ _0"></span> for </div><div class="t m0 x1 h2 y19 ff1 fs0 fc0 sc0 ls1 ws1">whichever<span class="_ _0"></span> purpose<span class="_ _0"></span> and in a<span class="_ _0"></span>ny field<span class="_ _0"></span> of use, <span class="_ _0"></span>includ<span class="_ _0"></span>ing usage of <span class="_ _0"></span>the Mo<span class="_ _0"></span>del </div><div class="t m0 x1 h2 y1a ff1 fs0 fc0 sc0 ls1 ws1">in an end<span class="_ _0"></span>-use app<span class="_ _0"></span>lication - <span class="_ _0"></span>e.g. c<span class="_ _0"></span>hatbot, t<span class="_ _0"></span>ranslato<span class="_ _0"></span>r, image <span class="_ _0"></span>generato<span class="_ _0"></span>r. </div><div class="t m0 x1 h2 y1b ff1 fs0 fc0 sc0 ls1 ws1">- "Third <span class="_ _0"></span>Parties"<span class="_ _0"></span> means in<span class="_ _0"></span>dividual<span class="_ _0"></span>s or lega<span class="_ _0"></span>l enti<span class="_ _0"></span>ties tha<span class="_ _0"></span>t are not<span class="_ _0"></span> under </div><div class="t m0 x1 h2 y1c ff1 fs0 fc0 sc0 ls1 ws1">common co<span class="_ _0"></span>ntrol wi<span class="_ _0"></span>th Licens<span class="_ _0"></span>or or Yo<span class="_ _0"></span>u. </div><div class="t m0 x1 h2 y1d ff1 fs0 fc0 sc0 ls1 ws1">- "Contri<span class="_ _0"></span>bution" <span class="_ _0"></span>means any<span class="_ _0"></span> work of<span class="_ _0"></span> authorsh<span class="_ _0"></span>ip, in<span class="_ _0"></span>cluding <span class="_ _0"></span>the original </div><div class="t m0 x1 h2 y1e ff1 fs0 fc0 sc0 ls1 ws1">version o<span class="_ _0"></span>f the Mo<span class="_ _0"></span>del and a<span class="_ _0"></span>ny modif<span class="_ _0"></span>ications <span class="_ _0"></span>or add<span class="_ _0"></span>itions t<span class="_ _0"></span>o that Mo<span class="_ _0"></span>del or </div><div class="t m0 x1 h2 y1f ff1 fs0 fc0 sc0 ls1 ws1">Derivativ<span class="_ _0"></span>es of th<span class="_ _0"></span>e Model t<span class="_ _0"></span>hereof, <span class="_ _0"></span>that is i<span class="_ _0"></span>ntenti<span class="_ _0"></span>onally s<span class="_ _0"></span>ubmitted <span class="_ _0"></span>to </div><div class="t m0 x1 h2 y20 ff1 fs0 fc0 sc0 ls1 ws1">Licensor <span class="_ _0"></span>for incl<span class="_ _0"></span>usion in <span class="_ _0"></span>the Mode<span class="_ _0"></span>l by the <span class="_ _0"></span>copyri<span class="_ _0"></span>ght owne<span class="_ _0"></span>r or by a<span class="_ _0"></span>n </div><div class="t m0 x1 h2 y21 ff1 fs0 fc0 sc0 ls1 ws1">individua<span class="_ _0"></span>l or Leg<span class="_ _0"></span>al Entity<span class="_ _0"></span> authori<span class="_ _0"></span>zed to su<span class="_ _0"></span>bmit on <span class="_ _0"></span>behalf of<span class="_ _0"></span> the </div><div class="t m0 x1 h2 y22 ff1 fs0 fc0 sc0 ls1 ws1">copyright<span class="_ _0"></span> owner. <span class="_ _0"></span>For the p<span class="_ _0"></span>urposes <span class="_ _0"></span>of this d<span class="_ _0"></span>efinit<span class="_ _0"></span>ion, "su<span class="_ _0"></span>bmitted" <span class="_ _0"></span>means </div><div class="t m0 x1 h2 y23 ff1 fs0 fc0 sc0 ls1 ws1">any form <span class="_ _0"></span>of elect<span class="_ _0"></span>ronic, ve<span class="_ _0"></span>rbal, or<span class="_ _0"></span> written <span class="_ _0"></span>commun<span class="_ _0"></span>ication <span class="_ _0"></span>sent to t<span class="_ _0"></span>he </div><div class="t m0 x1 h2 y24 ff1 fs0 fc0 sc0 ls1 ws1">Licensor <span class="_ _0"></span>or its r<span class="_ _0"></span>epresenta<span class="_ _0"></span>tives, i<span class="_ _0"></span>ncluding <span class="_ _0"></span>but no<span class="_ _0"></span>t limite<span class="_ _0"></span>d to </div><div class="t m0 x1 h2 y25 ff1 fs0 fc0 sc0 ls1 ws1">communica<span class="_ _0"></span>tion on <span class="_ _0"></span>electronic <span class="_ _0"></span>mailin<span class="_ _0"></span>g lists, <span class="_ _0"></span>source c<span class="_ _0"></span>ode contr<span class="_ _0"></span>ol syste<span class="_ _0"></span>ms, </div><div class="t m0 x1 h2 y26 ff1 fs0 fc0 sc0 ls1 ws1">and issue<span class="_ _0"></span> trackin<span class="_ _0"></span>g systems<span class="_ _0"></span> that ar<span class="_ _0"></span>e managed<span class="_ _0"></span> by, o<span class="_ _0"></span>r on beh<span class="_ _0"></span>alf of, t<span class="_ _0"></span>he </div><div class="t m0 x1 h2 y27 ff1 fs0 fc0 sc0 ls1 ws1">Licensor <span class="_ _0"></span>for the <span class="_ _0"></span>purpose o<span class="_ _0"></span>f discus<span class="_ _0"></span>sing and <span class="_ _0"></span>improv<span class="_ _0"></span>ing the <span class="_ _0"></span>Model, bu<span class="_ _0"></span>t </div><div class="t m0 x1 h2 y28 ff1 fs0 fc0 sc0 ls1 ws1">excluding<span class="_ _0"></span> communi<span class="_ _0"></span>cation th<span class="_ _0"></span>at is co<span class="_ _0"></span>nspicuous<span class="_ _0"></span>ly mar<span class="_ _0"></span>ked or o<span class="_ _0"></span>therwise </div><div class="t m0 x1 h2 y29 ff1 fs0 fc0 sc0 ls0 ws0">des<span class="ls1 ws1">igna<span class="_ _0"></span>ted in w<span class="_ _0"></span>riting by<span class="_ _0"></span> the cop<span class="_ _0"></span>yright<span class="_ _0"></span> owner as<span class="_ _0"></span> "Not a <span class="_ _0"></span>Contribut<span class="_ _0"></span>ion." </span></div><div class="t m0 x1 h2 y2a ff1 fs0 fc0 sc0 ls1 ws1">- "Contri<span class="_ _0"></span>butor" m<span class="_ _0"></span>eans Lice<span class="_ _0"></span>nsor and<span class="_ _0"></span> any indi<span class="_ _0"></span>vidual<span class="_ _0"></span> or Lega<span class="_ _0"></span>l Entity <span class="_ _0"></span>on </div><div class="t m0 x1 h2 y2b ff1 fs0 fc0 sc0 ls1 ws1">behalf of<span class="_ _0"></span> whom a <span class="_ _0"></span>Contribut<span class="_ _0"></span>ion has <span class="_ _0"></span>been rece<span class="_ _0"></span>ived b<span class="_ _0"></span>y Licens<span class="_ _0"></span>or and </div><div class="t m0 x1 h2 y2c ff1 fs0 fc0 sc0 ls1 ws1">subsequen<span class="_ _0"></span>tly inco<span class="_ _0"></span>rporated <span class="_ _0"></span>within t<span class="_ _0"></span>he Model. </div><div class="t m0 x1 h2 y2d ff1 fs0 fc0 sc0 ls1 ws1"> </div><div class="t m0 x1 h2 y2e ff1 fs0 fc0 sc0 ls1 ws1">Section I<span class="_ _0"></span>I: INTEL<span class="_ _0"></span>LECTUAL P<span class="_ _0"></span>ROPERTY <span class="_ _0"></span>RIGHTS </div><div class="t m0 x1 h2 y2f ff1 fs0 fc0 sc0 ls1 ws1"> </div><div class="t m0 x1 h2 y30 ff1 fs0 fc0 sc0 ls1 ws1">Both copy<span class="_ _0"></span>right an<span class="_ _0"></span>d patent <span class="_ _0"></span>grants a<span class="_ _0"></span>pply to t<span class="_ _0"></span>he Mod<span class="_ _0"></span>el, Deri<span class="_ _0"></span>vatives o<span class="_ _0"></span>f the </div><div class="t m0 x1 h2 y31 ff1 fs0 fc0 sc0 ls1 ws1">Model and<span class="_ _0"></span> Complem<span class="_ _0"></span>entary Ma<span class="_ _0"></span>terial. <span class="_ _0"></span>The Model<span class="_ _0"></span> and D<span class="_ _0"></span>erivativ<span class="_ _0"></span>es of the<span class="_ _0"></span> Model </div><div class="t m0 x1 h2 y32 ff1 fs0 fc0 sc0 ls1 ws1">are subje<span class="_ _0"></span>ct to ad<span class="_ _0"></span>ditional <span class="_ _0"></span>terms as<span class="_ _0"></span> describe<span class="_ _0"></span>d in S<span class="_ _0"></span>ection I<span class="_ _0"></span>II. </div><div class="t m0 x1 h2 y33 ff1 fs0 fc0 sc0 ls1 ws1"> </div><div class="t m0 x1 h2 y34 ff1 fs0 fc0 sc0 ls1 ws1">2. Grant <span class="_ _0"></span>of Copyr<span class="_ _0"></span>ight Lice<span class="_ _0"></span>nse. Sub<span class="_ _0"></span>ject to t<span class="_ _0"></span>he terms<span class="_ _0"></span> and c<span class="_ _0"></span>onditions<span class="_ _0"></span> of </div><div class="t m0 x1 h2 y35 ff1 fs0 fc0 sc0 ls1 ws1">this Lice<span class="_ _0"></span>nse, eac<span class="_ _0"></span>h Contrib<span class="_ _0"></span>utor her<span class="_ _0"></span>eby grant<span class="_ _0"></span>s to Y<span class="_ _0"></span>ou a per<span class="_ _0"></span>petual, </div><div class="t m0 x1 h2 y36 ff1 fs0 fc0 sc0 ls1 ws1">worldwide<span class="_ _0"></span>, non-ex<span class="_ _0"></span>clusive, <span class="_ _0"></span>no-charg<span class="_ _0"></span>e, royalt<span class="_ _0"></span>y-free, ir<span class="_ _0"></span>revocable<span class="_ _0"></span> copyr<span class="_ _0"></span>ight </div><div class="t m0 x1 h2 y37 ff1 fs0 fc0 sc0 ls1 ws1">license t<span class="_ _0"></span>o reprod<span class="_ _0"></span>uce, prep<span class="_ _0"></span>are, pub<span class="_ _0"></span>licly dis<span class="_ _0"></span>play, <span class="_ _0"></span>publicly<span class="_ _0"></span> perform, </div></div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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class="c x0 y1 w2 h0"><div class="t m0 x1 h2 y2 ff1 fs0 fc0 sc0 ls1 ws1">sublicens<span class="_ _0"></span>e, and d<span class="_ _0"></span>istribute<span class="_ _0"></span> the Com<span class="_ _0"></span>plementar<span class="_ _0"></span>y Mate<span class="_ _0"></span>rial, th<span class="_ _0"></span>e Model, <span class="_ _0"></span>and </div><div class="t m0 x1 h2 y3 ff1 fs0 fc0 sc0 ls1 ws1">Derivativ<span class="_ _0"></span>es of th<span class="_ _0"></span>e Model.<span class="_ _0"></span> </div><div class="t m0 x1 h2 y4 ff1 fs0 fc0 sc0 ls1 ws1">3. Grant <span class="_ _0"></span>of Paten<span class="_ _0"></span>t License<span class="_ _0"></span>. Subjec<span class="_ _0"></span>t to the <span class="_ _0"></span>terms <span class="_ _0"></span>and cond<span class="_ _0"></span>itions of<span class="_ _0"></span> this </div><div class="t m0 x1 h2 y5 ff1 fs0 fc0 sc0 ls1 ws1">License a<span class="_ _0"></span>nd where<span class="_ _0"></span> and as a<span class="_ _0"></span>pplicabl<span class="_ _0"></span>e, each C<span class="_ _0"></span>ontrib<span class="_ _0"></span>utor her<span class="_ _0"></span>eby grant<span class="_ _0"></span>s to </div><div class="t m0 x1 h2 y6 ff1 fs0 fc0 sc0 ls1 ws1">You a per<span class="_ _0"></span>petual, <span class="_ _0"></span>worldwide<span class="_ _0"></span>, non-ex<span class="_ _0"></span>clusive, <span class="_ _0"></span>no-charge,<span class="_ _0"></span> royalty-<span class="_ _0"></span>free, </div><div class="t m0 x1 h2 y7 ff1 fs0 fc0 sc0 ls1 ws1">irrevocab<span class="_ _0"></span>le (exce<span class="_ _0"></span>pt as sta<span class="_ _0"></span>ted in t<span class="_ _0"></span>his parag<span class="_ _0"></span>raph) <span class="_ _0"></span>patent l<span class="_ _0"></span>icense to<span class="_ _0"></span> make, </div><div class="t m0 x1 h2 y8 ff1 fs0 fc0 sc0 ls1 ws1">have made<span class="_ _0"></span>, use, o<span class="_ _0"></span>ffer to s<span class="_ _0"></span>ell, sel<span class="_ _0"></span>l, import<span class="_ _0"></span>, and <span class="_ _0"></span>otherwis<span class="_ _0"></span>e transfe<span class="_ _0"></span>r the </div><div class="t m0 x1 h2 y9 ff1 fs0 fc0 sc0 ls1 ws1">Model and<span class="_ _0"></span> the Com<span class="_ _0"></span>plementar<span class="_ _0"></span>y Materi<span class="_ _0"></span>al, where<span class="_ _0"></span> such <span class="_ _0"></span>license <span class="_ _0"></span>applies only <span class="_ _0"></span>to </div><div class="t m0 x1 h2 ya ff1 fs0 fc0 sc0 ls1 ws1">those pat<span class="_ _0"></span>ent clai<span class="_ _0"></span>ms licens<span class="_ _0"></span>able by <span class="_ _0"></span>such Cont<span class="_ _0"></span>ributo<span class="_ _0"></span>r that a<span class="_ _0"></span>re necess<span class="_ _0"></span>arily </div><div class="t m0 x1 h2 yb ff1 fs0 fc0 sc0 ls1 ws1">infringed<span class="_ _0"></span> by thei<span class="_ _0"></span>r Contrib<span class="_ _0"></span>ution(s)<span class="_ _0"></span> alone or<span class="_ _0"></span> by co<span class="_ _0"></span>mbinatio<span class="_ _0"></span>n of thei<span class="_ _0"></span>r </div><div class="t m0 x1 h2 yc ff1 fs0 fc0 sc0 ls1 ws1">Contribut<span class="_ _0"></span>ion(s) w<span class="_ _0"></span>ith the M<span class="_ _0"></span>odel to <span class="_ _0"></span>which suc<span class="_ _0"></span>h Cont<span class="_ _0"></span>ribution<span class="_ _0"></span>(s) was </div><div class="t m0 x1 h2 yd ff1 fs0 fc0 sc0 ls1 ws1">submitted<span class="_ _0"></span>. If You<span class="_ _0"></span> institut<span class="_ _0"></span>e patent<span class="_ _0"></span> litigation<span class="_ _0"></span> again<span class="_ _0"></span>st any en<span class="_ _0"></span>tity </div><div class="t m0 x1 h2 ye ff1 fs0 fc0 sc0 ls1 ws1">(includin<span class="_ _0"></span>g a cros<span class="_ _0"></span>s-claim or <span class="_ _0"></span>counte<span class="_ _0"></span>rclaim in<span class="_ _0"></span> a lawsu<span class="_ _0"></span>it) alleg<span class="_ _0"></span>ing that<span class="_ _0"></span> the </div><div class="t m0 x1 h2 yf ff1 fs0 fc0 sc0 ls1 ws1">Model and<span class="_ _0"></span>/or Comp<span class="_ _0"></span>lementary<span class="_ _0"></span> Materia<span class="_ _0"></span>l or a Co<span class="_ _0"></span>ntribu<span class="_ _0"></span>tion inc<span class="_ _0"></span>orporated<span class="_ _0"></span> within </div><div class="t m0 x1 h2 y10 ff1 fs0 fc0 sc0 ls1 ws1">the Model<span class="_ _0"></span> and/or <span class="_ _0"></span>Complemen<span class="_ _0"></span>tary Mat<span class="_ _0"></span>erial con<span class="_ _0"></span>stitut<span class="_ _0"></span>es direc<span class="_ _0"></span>t or </div><div class="t m0 x1 h2 y11 ff1 fs0 fc0 sc0 ls1 ws1">contribut<span class="_ _0"></span>ory pate<span class="_ _0"></span>nt infringe<span class="_ _0"></span>ment, <span class="_ _0"></span>then any <span class="_ _0"></span>patent l<span class="_ _0"></span>icenses g<span class="_ _0"></span>ranted t<span class="_ _0"></span>o You </div><div class="t m0 x1 h2 y12 ff1 fs0 fc0 sc0 ls1 ws1">under thi<span class="_ _0"></span>s Licens<span class="_ _0"></span>e for the<span class="_ _0"></span> Model a<span class="_ _0"></span>nd/or Wor<span class="_ _0"></span>k shal<span class="_ _0"></span>l termin<span class="_ _0"></span>ate as of<span class="_ _0"></span> the </div><div class="t m0 x1 h2 y13 ff1 fs0 fc0 sc0 ls1 ws1">date such<span class="_ _0"></span> litigat<span class="_ _0"></span>ion is as<span class="_ _0"></span>serted o<span class="_ _0"></span>r filed. </div><div class="t m0 x1 h2 y14 ff1 fs0 fc0 sc0 ls1 ws1"> </div><div class="t m0 x1 h2 y15 ff1 fs0 fc0 sc0 ls1 ws1">Section I<span class="_ _0"></span>II: COND<span class="_ _0"></span>ITIONS OF<span class="_ _0"></span> USAGE, <span class="_ _0"></span>DISTRIBUT<span class="_ _0"></span>ION AN<span class="_ _0"></span>D REDIST<span class="_ _0"></span>RIBUTION </div><div class="t m0 x1 h2 y16 ff1 fs0 fc0 sc0 ls1 ws1"> </div><div class="t m0 x1 h2 y17 ff1 fs0 fc0 sc0 ls1 ws1">4. Distri<span class="_ _0"></span>bution a<span class="_ _0"></span>nd Redistri<span class="_ _0"></span>bution<span class="_ _0"></span>. You may<span class="_ _0"></span> host fo<span class="_ _0"></span>r Third P<span class="_ _0"></span>arty rem<span class="_ _0"></span>ote </div><div class="t m0 x1 h2 y18 ff1 fs0 fc0 sc0 ls1 ws1">access pu<span class="_ _0"></span>rposes (<span class="_ _0"></span>e.g. soft<span class="_ _0"></span>ware-<span class="ls2 ws2">as</span>-a-servi<span class="_ _0"></span>ce), rep<span class="_ _0"></span>roduce a<span class="_ _0"></span>nd distri<span class="_ _0"></span>bute </div><div class="t m0 x1 h2 y19 ff1 fs0 fc0 sc0 ls1 ws1">copies of<span class="_ _0"></span> the Mod<span class="_ _0"></span>el or Der<span class="_ _0"></span>ivatives<span class="_ _0"></span> of the M<span class="_ _0"></span>odel t<span class="_ _0"></span>hereof i<span class="_ _0"></span>n any med<span class="_ _0"></span>ium, </div><div class="t m0 x1 h2 y1a ff1 fs0 fc0 sc0 ls1 ws1">with or w<span class="_ _0"></span>ithout m<span class="_ _0"></span>odificati<span class="_ _0"></span>ons, pro<span class="_ _0"></span>vided tha<span class="_ _0"></span>t You <span class="_ _0"></span>meet the<span class="_ _0"></span> following </div><div class="t m0 x1 h2 y1b ff1 fs0 fc0 sc0 ls1 ws1">condition<span class="_ _0"></span>s: </div><div class="t m0 x1 h2 y1c ff1 fs0 fc0 sc0 ls0 ws0">Use<span class="ls1 ws1">-bas<span class="_ _0"></span>ed restr<span class="_ _0"></span>ictions a<span class="_ _0"></span>s refere<span class="_ _0"></span>nced i<span class="_ _0"></span>n paragra<span class="_ _0"></span>ph 5 MUS<span class="_ _0"></span>T be incl<span class="_ _0"></span>uded as </span></div><div class="t m0 x1 h2 y1d ff1 fs0 fc0 sc0 ls1 ws1">an enforc<span class="_ _0"></span>eable pr<span class="_ _0"></span>ovision b<span class="_ _0"></span>y You in<span class="_ _0"></span> any type<span class="_ _0"></span> of le<span class="_ _0"></span>gal agre<span class="_ _0"></span>ement (e.<span class="_ _0"></span>g. a </div><div class="t m0 x1 h2 y1e ff1 fs0 fc0 sc0 ls1 ws1">license) <span class="_ _0"></span>governin<span class="_ _0"></span>g the use<span class="_ _0"></span> and/or <span class="_ _0"></span>distribut<span class="_ _0"></span>ion of<span class="_ _0"></span> the Mod<span class="_ _0"></span>el or </div><div class="t m0 x1 h2 y1f ff1 fs0 fc0 sc0 ls1 ws1">Derivativ<span class="_ _0"></span>es of th<span class="_ _0"></span>e Model, <span class="_ _0"></span>and You <span class="_ _0"></span>shall giv<span class="_ _0"></span>e notice<span class="_ _0"></span> to subse<span class="_ _0"></span>quent us<span class="_ _0"></span>ers </div><div class="t m0 x1 h2 y20 ff1 fs0 fc0 sc0 ls1 ws1">You Distr<span class="_ _0"></span>ibute to<span class="_ _0"></span>, that th<span class="_ _0"></span>e Model <span class="_ _0"></span>or Deriva<span class="_ _0"></span>tives <span class="_ _0"></span>of the M<span class="_ _0"></span>odel are <span class="_ _0"></span>subject </div><div class="t m0 x1 h2 y21 ff1 fs0 fc0 sc0 ls1 ws1">to paragr<span class="_ _0"></span>aph 5. T<span class="_ _0"></span>his provi<span class="_ _0"></span>sion doe<span class="_ _0"></span>s not app<span class="_ _0"></span>ly to <span class="_ _0"></span>the use <span class="_ _0"></span>of Comple<span class="_ _0"></span>mentary </div><div class="t m0 x1 h2 y22 ff1 fs0 fc0 sc0 ls1 ws1">Material.<span class="_ _0"></span> </div><div class="t m0 x1 h2 y23 ff1 fs0 fc0 sc0 ls1 ws1">You must <span class="_ _0"></span>give any<span class="_ _0"></span> Third Pa<span class="_ _0"></span>rty reci<span class="_ _0"></span>pients of<span class="_ _0"></span> the M<span class="_ _0"></span>odel or Deriv<span class="_ _0"></span>atives<span class="_ _0"></span> of </div><div class="t m0 x1 h2 y24 ff1 fs0 fc0 sc0 ls1 ws1">the Model<span class="_ _0"></span> a copy <span class="_ _0"></span>of this L<span class="_ _0"></span>icense;<span class="_ _0"></span> </div><div class="t m0 x1 h2 y25 ff1 fs0 fc0 sc0 ls1 ws1">You must <span class="_ _0"></span>cause an<span class="_ _0"></span>y modifie<span class="_ _0"></span>d files <span class="_ _0"></span>to carry <span class="_ _0"></span>promin<span class="_ _0"></span>ent noti<span class="_ _0"></span>ces stati<span class="_ _0"></span>ng that </div><div class="t m0 x1 h2 y26 ff1 fs0 fc0 sc0 ls1 ws1">You chang<span class="_ _0"></span>ed the f<span class="_ _0"></span>iles; </div><div class="t m0 x1 h2 y27 ff1 fs0 fc0 sc0 ls1 ws1">You must <span class="_ _0"></span>retain a<span class="_ _0"></span>ll copyri<span class="_ _0"></span>ght, pat<span class="_ _0"></span>ent, trad<span class="_ _0"></span>emark,<span class="_ _0"></span> and att<span class="_ _0"></span>ribution <span class="_ _0"></span>notices </div><div class="t m0 x1 h2 y28 ff1 fs0 fc0 sc0 ls1 ws1">excluding<span class="_ _0"></span> those n<span class="_ _0"></span>otices th<span class="_ _0"></span>at do no<span class="_ _0"></span>t pertain<span class="_ _0"></span> to any <span class="_ _0"></span>part of t<span class="_ _0"></span>he Model<span class="_ _0"></span>, </div><div class="t m0 x1 h2 y29 ff1 fs0 fc0 sc0 ls1 ws1">Derivativ<span class="_ _0"></span>es of th<span class="_ _0"></span>e Model.<span class="_ _0"></span> </div><div class="t m0 x1 h2 y2a ff1 fs0 fc0 sc0 ls1 ws1">You may a<span class="_ _0"></span>dd Your <span class="_ _0"></span>own copyr<span class="_ _0"></span>ight sta<span class="_ _0"></span>tement to<span class="_ _0"></span> Your <span class="_ _0"></span>modifica<span class="_ _0"></span>tions and<span class="_ _0"></span> may </div><div class="t m0 x1 h2 y2b ff1 fs0 fc0 sc0 ls1 ws1">provide a<span class="_ _0"></span>dditiona<span class="_ _0"></span>l or diff<span class="_ _0"></span>erent li<span class="_ _0"></span>cense ter<span class="_ _0"></span>ms and<span class="_ _0"></span> conditi<span class="_ _0"></span>ons - respect<span class="_ _0"></span>ing </div><div class="t m0 x1 h2 y2c ff1 fs0 fc0 sc0 ls1 ws1">paragraph<span class="_ _0"></span> 4.a. - <span class="_ _0"></span>for use, <span class="_ _0"></span>reproduc<span class="_ _0"></span>tion, or <span class="_ _0"></span>Distributi<span class="_ _0"></span>on of You<span class="_ _0"></span>r </div><div class="t m0 x1 h2 y2d ff1 fs0 fc0 sc0 ls1 ws1">modificat<span class="_ _0"></span>ions, or<span class="_ _0"></span> for any <span class="_ _0"></span>such Der<span class="_ _0"></span>ivatives <span class="_ _0"></span>of the<span class="_ _0"></span> Model a<span class="_ _0"></span>s a whole<span class="_ _0"></span>, </div><div class="t m0 x1 h2 y2e ff1 fs0 fc0 sc0 ls1 ws1">provided <span class="_ _0"></span>Your use<span class="_ _0"></span>, reprodu<span class="_ _0"></span>ction, a<span class="_ _0"></span>nd Distri<span class="_ _0"></span>bution<span class="_ _0"></span> of the <span class="_ _0"></span>Model oth<span class="_ _0"></span>erwise </div><div class="t m0 x1 h2 y2f ff1 fs0 fc0 sc0 ls1 ws1">complies <span class="_ _0"></span>with the<span class="_ _0"></span> conditio<span class="_ _0"></span>ns state<span class="_ _0"></span>d in this<span class="_ _0"></span> Licen<span class="_ _0"></span>se. </div><div class="t m0 x1 h2 y30 ff1 fs0 fc0 sc0 ls1 ws1">5. Use-ba<span class="_ _0"></span>sed rest<span class="_ _0"></span>rictions.<span class="_ _0"></span> The res<span class="_ _0"></span>trictions<span class="_ _0"></span> set forth<span class="_ _0"></span> in Attac<span class="_ _0"></span>hment <span class="_ _0"></span>A are </div><div class="t m0 x1 h2 y31 ff1 fs0 fc0 sc0 ls1 ws1">considere<span class="_ _0"></span>d Use-ba<span class="_ _0"></span>sed restr<span class="_ _0"></span>ictions.<span class="_ _0"></span> Therefor<span class="_ _0"></span>e You <span class="_ _0"></span>cannot u<span class="_ _0"></span>se the Mo<span class="_ _0"></span>del and </div><div class="t m0 x1 h2 y32 ff1 fs0 fc0 sc0 ls1 ws1">the Deriv<span class="_ _0"></span>atives o<span class="_ _0"></span>f the Mod<span class="_ _0"></span>el for t<span class="_ _0"></span>he specif<span class="_ _0"></span>ied re<span class="_ _0"></span>stricted<span class="_ _0"></span> uses. Yo<span class="_ _0"></span>u may </div><div class="t m0 x1 h2 y33 ff1 fs0 fc0 sc0 ls1 ws1">use the M<span class="_ _0"></span>odel sub<span class="_ _0"></span>ject to t<span class="_ _0"></span>his Lice<span class="_ _0"></span>nse, incl<span class="_ _0"></span>uding <span class="_ _0"></span>only for<span class="_ _0"></span> lawful p<span class="_ _0"></span>urposes </div><div class="t m0 x1 h2 y34 ff1 fs0 fc0 sc0 ls1 ws1">and in ac<span class="_ _0"></span>cordance<span class="_ _0"></span> with the<span class="_ _0"></span> License<span class="_ _0"></span>. Use may<span class="_ _0"></span> inclu<span class="_ _0"></span>de creat<span class="_ _0"></span>ing any c<span class="_ _0"></span>ontent </div><div class="t m0 x1 h2 y35 ff1 fs0 fc0 sc0 ls1 ws1">with, fin<span class="_ _0"></span>etuning,<span class="_ _0"></span> updating<span class="_ _0"></span>, runnin<span class="_ _0"></span>g, traini<span class="_ _0"></span>ng, ev<span class="_ _0"></span>aluating<span class="_ _0"></span> and/or </div><div class="t m0 x1 h2 y36 ff1 fs0 fc0 sc0 ls1 ws1">reparamet<span class="_ _0"></span>rizing t<span class="_ _0"></span>he Model.<span class="_ _0"></span> You sha<span class="_ _0"></span>ll requir<span class="_ _0"></span>e all <span class="_ _0"></span>of Your <span class="_ _0"></span>users who<span class="_ _0"></span> use </div></div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
<div id="pf4" class="pf w0 h0" data-page-no="4"><div class="pc pc4 w0 h0"><img class="bi x0 y0 w1 h1" alt="" 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class="c x0 y1 w2 h0"><div class="t m0 x1 h2 y2 ff1 fs0 fc0 sc0 ls1 ws1">the Model<span class="_ _0"></span> or a De<span class="_ _0"></span>rivative <span class="_ _0"></span>of the M<span class="_ _0"></span>odel to c<span class="_ _0"></span>omply <span class="_ _0"></span>with the<span class="_ _0"></span> terms of thi<span class="_ _0"></span>s </div><div class="t m0 x1 h2 y3 ff1 fs0 fc0 sc0 ls1 ws1">paragraph<span class="_ _0"></span> (paragr<span class="_ _0"></span>aph 5). </div><div class="t m0 x1 h2 y4 ff1 fs0 fc0 sc0 ls1 ws1">6. The Ou<span class="_ _0"></span>tput You<span class="_ _0"></span> Generate<span class="_ _0"></span>. Except<span class="_ _0"></span> as set f<span class="_ _0"></span>orth h<span class="_ _0"></span>erein, L<span class="_ _0"></span>icensor c<span class="_ _0"></span>laims </div><div class="t m0 x1 h2 y5 ff1 fs0 fc0 sc0 ls1 ws1">no rights<span class="_ _0"></span> in the <span class="_ _0"></span>Output Yo<span class="_ _0"></span>u genera<span class="_ _0"></span>te using <span class="_ _0"></span>the Mo<span class="_ _0"></span>del. You<span class="_ _0"></span> are acco<span class="_ _0"></span>untable </div><div class="t m0 x1 h2 y6 ff1 fs0 fc0 sc0 ls1 ws1">for the O<span class="_ _0"></span>utput yo<span class="_ _0"></span>u generat<span class="_ _0"></span>e and it<span class="_ _0"></span>s subsequ<span class="_ _0"></span>ent us<span class="_ _0"></span>es. No u<span class="_ _0"></span>se of the<span class="_ _0"></span> output </div><div class="t m0 x1 h2 y7 ff1 fs0 fc0 sc0 ls1 ws1">can contr<span class="_ _0"></span>avene an<span class="_ _0"></span>y provisi<span class="_ _0"></span>on as st<span class="_ _0"></span>ated in t<span class="_ _0"></span>he Lic<span class="_ _0"></span>ense. </div><div class="t m0 x1 h2 y8 ff1 fs0 fc0 sc0 ls1 ws1"> </div><div class="t m0 x1 h2 y9 ff1 fs0 fc0 sc0 ls1 ws1">Section I<span class="_ _0"></span>V: OTHER<span class="_ _0"></span> PROVISIO<span class="_ _0"></span>NS </div><div class="t m0 x1 h2 ya ff1 fs0 fc0 sc0 ls1 ws1"> </div><div class="t m0 x1 h2 yb ff1 fs0 fc0 sc0 ls1 ws1">7. Update<span class="_ _0"></span>s and Ru<span class="_ _0"></span>ntime Res<span class="_ _0"></span>triction<span class="_ _0"></span>s. To the<span class="_ _0"></span> maxim<span class="_ _0"></span>um exten<span class="_ _0"></span>t permitt<span class="_ _0"></span>ed by </div><div class="t m0 x1 h2 yc ff1 fs0 fc0 sc0 ls1 ws1">law, Lice<span class="_ _0"></span>nsor res<span class="_ _0"></span>erves the<span class="_ _0"></span> right t<span class="_ _0"></span>o restric<span class="_ _0"></span>t (rem<span class="_ _0"></span>otely or<span class="_ _0"></span> otherwis<span class="_ _0"></span>e) </div><div class="t m0 x1 h2 yd ff1 fs0 fc0 sc0 ls1 ws1">usage of <span class="_ _0"></span>the Mode<span class="_ _0"></span>l in violat<span class="_ _0"></span>ion of<span class="_ _0"></span> this Lic<span class="_ _0"></span>ense, up<span class="_ _0"></span>date the <span class="_ _0"></span>Model th<span class="_ _0"></span>rough </div><div class="t m0 x1 h2 ye ff1 fs0 fc0 sc0 ls1 ws1">electroni<span class="_ _0"></span>c means,<span class="_ _0"></span> or modif<span class="_ _0"></span>y the Ou<span class="_ _0"></span>tput of t<span class="_ _0"></span>he Mod<span class="_ _0"></span>el based<span class="_ _0"></span> on updat<span class="_ _0"></span>es. You </div><div class="t m0 x1 h2 yf ff1 fs0 fc0 sc0 ls1 ws1">shall und<span class="_ _0"></span>ertake r<span class="_ _0"></span>easonable<span class="_ _0"></span> efforts<span class="_ _0"></span> to use t<span class="_ _0"></span>he lat<span class="_ _0"></span>est vers<span class="_ _0"></span>ion of th<span class="_ _0"></span>e </div><div class="t m0 x1 h2 y10 ff1 fs0 fc0 sc0 ls1 ws1">Model. </div><div class="t m0 x1 h2 y11 ff1 fs0 fc0 sc0 ls1 ws1">8. Tradem<span class="_ _0"></span>arks and<span class="_ _0"></span> related.<span class="_ _0"></span> Nothing<span class="_ _0"></span> in this <span class="_ _0"></span>Licens<span class="_ _0"></span>e permit<span class="_ _0"></span>s You to make<span class="_ _0"></span> </div><div class="t m0 x1 h2 y12 ff2 fs0 fc0 sc0 ls1 ws1">use of Li<span class="_ _0"></span>censors’<span class="_ _0"></span> trademar<span class="_ _0"></span>ks, trad<span class="_ _0"></span>e names, <span class="_ _0"></span>logos <span class="_ _0"></span>or to ot<span class="_ _0"></span>herwise s<span class="_ _0"></span>uggest </div><div class="t m0 x1 h2 y13 ff1 fs0 fc0 sc0 ls1 ws1">endorseme<span class="_ _0"></span>nt or mi<span class="_ _0"></span>srepresen<span class="_ _0"></span>t the re<span class="_ _0"></span>lationshi<span class="_ _0"></span>p betw<span class="_ _0"></span>een the <span class="_ _0"></span>parties; <span class="_ _0"></span>and any </div><div class="t m0 x1 h2 y14 ff1 fs0 fc0 sc0 ls1 ws1">rights no<span class="_ _0"></span>t expres<span class="_ _0"></span>sly grant<span class="_ _0"></span>ed herei<span class="_ _0"></span>n are res<span class="_ _0"></span>erved <span class="_ _0"></span>by the L<span class="_ _0"></span>icensors. </div><div class="t m0 x1 h2 y15 ff1 fs0 fc0 sc0 ls1 ws1">9. Discla<span class="_ _0"></span>imer of <span class="_ _0"></span>Warranty.<span class="_ _0"></span> Unless <span class="_ _0"></span>required <span class="_ _0"></span>by appli<span class="_ _0"></span>cable law<span class="_ _0"></span> or agre<span class="_ _0"></span>ed to </div><div class="t m0 x1 h2 y16 ff1 fs0 fc0 sc0 ls1 ws1">in writin<span class="_ _0"></span>g, Licen<span class="_ _0"></span>sor provi<span class="_ _0"></span>des the <span class="_ _0"></span>Model and<span class="_ _0"></span> the C<span class="_ _0"></span>omplemen<span class="_ _0"></span>tary Mate<span class="_ _0"></span>rial </div><div class="t m0 x1 h2 y17 ff1 fs0 fc0 sc0 ls1 ws1">(and each<span class="_ _0"></span> Contrib<span class="_ _0"></span>utor prov<span class="_ _0"></span>ides its<span class="_ _0"></span> Contribu<span class="_ _0"></span>tions)<span class="_ _0"></span> on an "<span class="_ _0"></span>AS IS" BA<span class="_ _0"></span>SIS, </div><div class="t m0 x1 h2 y18 ff1 fs0 fc0 sc0 ls1 ws1">WITHOUT W<span class="_ _0"></span>ARRANTIE<span class="_ _0"></span>S OR COND<span class="_ _0"></span>ITIONS O<span class="_ _0"></span>F ANY KIN<span class="_ _0"></span>D, eit<span class="_ _0"></span>her expr<span class="_ _0"></span>ess or im<span class="_ _0"></span>plied, </div><div class="t m0 x1 h2 y19 ff1 fs0 fc0 sc0 ls1 ws1">including<span class="_ _0"></span>, withou<span class="_ _0"></span>t limitat<span class="_ _0"></span>ion, any<span class="_ _0"></span> warranti<span class="_ _0"></span>es or <span class="_ _0"></span>conditio<span class="_ _0"></span>ns of TIT<span class="_ _0"></span>LE, </div><div class="t m0 x1 h2 y1a ff1 fs0 fc0 sc0 ls0 ws0">NON<span class="ls1 ws1">-INF<span class="_ _0"></span>RINGEMEN<span class="_ _0"></span>T, MERCHA<span class="_ _0"></span>NTABILIT<span class="_ _0"></span>Y, or <span class="_ _0"></span>FITNESS F<span class="_ _0"></span>OR A PAR<span class="_ _0"></span>TICULAR P<span class="_ _0"></span>URPOSE. </span></div><div class="t m0 x1 h2 y1b ff1 fs0 fc0 sc0 ls1 ws1">You are s<span class="_ _0"></span>olely re<span class="_ _0"></span>sponsible<span class="_ _0"></span> for det<span class="_ _0"></span>ermining <span class="_ _0"></span>the ap<span class="_ _0"></span>propriat<span class="_ _0"></span>eness of <span class="_ _0"></span>using </div><div class="t m0 x1 h2 y1c ff1 fs0 fc0 sc0 ls1 ws1">or redist<span class="_ _0"></span>ributing<span class="_ _0"></span> the Mode<span class="_ _0"></span>l, Deriv<span class="_ _0"></span>atives of t<span class="_ _0"></span>he Model<span class="_ _0"></span>, and the<span class="_ _0"></span> </div><div class="t m0 x1 h2 y1d ff1 fs0 fc0 sc0 ls1 ws1">Complemen<span class="_ _0"></span>tary Mat<span class="_ _0"></span>erial and<span class="_ _0"></span> assume <span class="_ _0"></span>any risks<span class="_ _0"></span> assoc<span class="_ _0"></span>iated wi<span class="_ _0"></span>th Your e<span class="_ _0"></span>xercise </div><div class="t m0 x1 h2 y1e ff1 fs0 fc0 sc0 ls1 ws1">of permis<span class="_ _0"></span>sions un<span class="_ _0"></span>der this <span class="_ _0"></span>License.<span class="_ _0"></span> </div><div class="t m0 x1 h2 y1f ff1 fs0 fc0 sc0 ls1 ws1">10. Limit<span class="_ _0"></span>ation of<span class="_ _0"></span> Liabilit<span class="_ _0"></span>y. In no<span class="_ _0"></span> event an<span class="_ _0"></span>d unde<span class="_ _0"></span>r no leg<span class="_ _0"></span>al theory<span class="_ _0"></span>, </div><div class="t m0 x1 h2 y20 ff1 fs0 fc0 sc0 ls1 ws1">whether i<span class="_ _0"></span>n tort (<span class="_ _0"></span>including<span class="_ _0"></span> neglige<span class="_ _0"></span>nce), con<span class="_ _0"></span>tract,<span class="_ _0"></span> or otherwise<span class="_ _0"></span>, unle<span class="_ _0"></span>ss </div><div class="t m0 x1 h2 y21 ff1 fs0 fc0 sc0 ls1 ws1">required <span class="_ _0"></span>by appli<span class="_ _0"></span>cable law<span class="_ _0"></span> (such a<span class="_ _0"></span>s deliber<span class="_ _0"></span>ate an<span class="_ _0"></span>d grossl<span class="_ _0"></span>y neglige<span class="_ _0"></span>nt </div><div class="t m0 x1 h2 y22 ff1 fs0 fc0 sc0 ls1 ws1">acts) or <span class="_ _0"></span>agreed t<span class="_ _0"></span>o in writ<span class="_ _0"></span>ing, sha<span class="_ _0"></span>ll any Co<span class="_ _0"></span>ntribu<span class="_ _0"></span>tor be l<span class="_ _0"></span>iable to <span class="_ _0"></span>You for </div><div class="t m0 x1 h2 y23 ff1 fs0 fc0 sc0 ls1 ws1">damages, <span class="_ _0"></span>includin<span class="_ _0"></span>g any dir<span class="_ _0"></span>ect, ind<span class="_ _0"></span>irect, sp<span class="_ _0"></span>ecial,<span class="_ _0"></span> inciden<span class="_ _0"></span>tal, or </div><div class="t m0 x1 h2 y24 ff1 fs0 fc0 sc0 ls1 ws1">consequen<span class="_ _0"></span>tial dam<span class="_ _0"></span>ages of a<span class="_ _0"></span>ny chara<span class="_ _0"></span>cter aris<span class="_ _0"></span>ing as a<span class="_ _0"></span> result o<span class="_ _0"></span>f this </div><div class="t m0 x1 h2 y25 ff1 fs0 fc0 sc0 ls1 ws1">License o<span class="_ _0"></span>r out of<span class="_ _0"></span> the use <span class="_ _0"></span>or inabi<span class="_ _0"></span>lity to u<span class="_ _0"></span>se the<span class="_ _0"></span> Model a<span class="_ _0"></span>nd the </div><div class="t m0 x1 h2 y26 ff1 fs0 fc0 sc0 ls1 ws1">Complemen<span class="_ _0"></span>tary Mat<span class="_ _0"></span>erial (in<span class="_ _0"></span>cluding <span class="_ _0"></span>but not l<span class="_ _0"></span>imited<span class="_ _0"></span> to dama<span class="_ _0"></span>ges for l<span class="_ _0"></span>oss of </div><div class="t m0 x1 h2 y27 ff1 fs0 fc0 sc0 ls1 ws1">goodwill,<span class="_ _0"></span> work st<span class="_ _0"></span>oppage, c<span class="_ _0"></span>omputer <span class="_ _0"></span>failure o<span class="_ _0"></span>r malf<span class="_ _0"></span>unction,<span class="_ _0"></span> or any a<span class="_ _0"></span>nd all </div><div class="t m0 x1 h2 y28 ff1 fs0 fc0 sc0 ls1 ws1">other com<span class="_ _0"></span>mercial <span class="_ _0"></span>damages o<span class="_ _0"></span>r losses<span class="_ _0"></span>), even i<span class="_ _0"></span>f such<span class="_ _0"></span> Contrib<span class="_ _0"></span>utor has <span class="_ _0"></span>been </div><div class="t m0 x1 h2 y29 ff1 fs0 fc0 sc0 ls1 ws1">advised o<span class="_ _0"></span>f the po<span class="_ _0"></span>ssibility<span class="_ _0"></span> of such<span class="_ _0"></span> damages. </div><div class="t m0 x1 h2 y2a ff1 fs0 fc0 sc0 ls1 ws1">11. Accep<span class="_ _0"></span>ting War<span class="_ _0"></span>ranty or <span class="_ _0"></span>Addition<span class="_ _0"></span>al Liabil<span class="_ _0"></span>ity. W<span class="_ _0"></span>hile red<span class="_ _0"></span>istributi<span class="_ _0"></span>ng the </div><div class="t m0 x1 h2 y2b ff1 fs0 fc0 sc0 ls1 ws1">Model, De<span class="_ _0"></span>rivative<span class="_ _0"></span>s of the <span class="_ _0"></span>Model an<span class="_ _0"></span>d the Com<span class="_ _0"></span>plemen<span class="_ _0"></span>tary Mat<span class="_ _0"></span>erial the<span class="_ _0"></span>reof, </div><div class="t m0 x1 h2 y2c ff1 fs0 fc0 sc0 ls1 ws1">You may c<span class="_ _0"></span>hoose to<span class="_ _0"></span> offer, a<span class="_ _0"></span>nd charg<span class="_ _0"></span>e a fee f<span class="_ _0"></span>or, ac<span class="_ _0"></span>ceptance<span class="_ _0"></span> of suppo<span class="_ _0"></span>rt, </div><div class="t m0 x1 h2 y2d ff1 fs0 fc0 sc0 ls1 ws1">warranty,<span class="_ _0"></span> indemni<span class="_ _0"></span>ty, or ot<span class="_ _0"></span>her liab<span class="_ _0"></span>ility obl<span class="_ _0"></span>igatio<span class="_ _0"></span>ns and/o<span class="_ _0"></span>r rights </div><div class="t m0 x1 h2 y2e ff1 fs0 fc0 sc0 ls1 ws1">consisten<span class="_ _0"></span>t with t<span class="_ _0"></span>his Licen<span class="_ _0"></span>se. Howe<span class="_ _0"></span>ver, in a<span class="_ _0"></span>ccepti<span class="_ _0"></span>ng such <span class="_ _0"></span>obligatio<span class="_ _0"></span>ns, You </div><div class="t m0 x1 h2 y2f ff1 fs0 fc0 sc0 ls1 ws1">may act o<span class="_ _0"></span>nly on Y<span class="_ _0"></span>our own b<span class="_ _0"></span>ehalf an<span class="_ _0"></span>d on Your<span class="_ _0"></span> sole <span class="_ _0"></span>responsibilit<span class="_ _0"></span>y, not<span class="_ _0"></span> on </div><div class="t m0 x1 h2 y30 ff1 fs0 fc0 sc0 ls1 ws1">behalf of<span class="_ _0"></span> any oth<span class="_ _0"></span>er Contri<span class="_ _0"></span>butor, a<span class="_ _0"></span>nd only i<span class="_ _0"></span>f You <span class="_ _0"></span>agree to<span class="_ _0"></span> indemnif<span class="_ _0"></span>y, </div><div class="t m0 x1 h2 y31 ff1 fs0 fc0 sc0 ls1 ws1">defend, a<span class="_ _0"></span>nd hold <span class="_ _0"></span>each Cont<span class="_ _0"></span>ributor <span class="_ _0"></span>harmless <span class="_ _0"></span>for an<span class="_ _0"></span>y liabil<span class="_ _0"></span>ity incur<span class="_ _0"></span>red by, </div><div class="t m0 x1 h2 y32 ff1 fs0 fc0 sc0 ls1 ws1">or claims<span class="_ _0"></span> asserte<span class="_ _0"></span>d against<span class="_ _0"></span>, such C<span class="_ _0"></span>ontributo<span class="_ _0"></span>r by r<span class="_ _0"></span>eason of<span class="_ _0"></span> your acc<span class="_ _0"></span>epting </div><div class="t m0 x1 h2 y33 ff1 fs0 fc0 sc0 ls1 ws1">any such <span class="_ _0"></span>warranty<span class="_ _0"></span> or additio<span class="_ _0"></span>nal li<span class="_ _0"></span>ability. </div><div class="t m0 x1 h2 y34 ff1 fs0 fc0 sc0 ls1 ws1">12. If an<span class="_ _0"></span>y provis<span class="_ _0"></span>ion of th<span class="_ _0"></span>is Licen<span class="_ _0"></span>se is hel<span class="_ _0"></span>d to b<span class="_ _0"></span>e invali<span class="_ _0"></span>d, illega<span class="_ _0"></span>l or </div><div class="t m0 x1 h2 y35 ff1 fs0 fc0 sc0 ls1 ws1">unenforce<span class="_ _0"></span>able, th<span class="_ _0"></span>e remaini<span class="_ _0"></span>ng provi<span class="_ _0"></span>sions sha<span class="_ _0"></span>ll be <span class="_ _0"></span>unaffect<span class="_ _0"></span>ed thereb<span class="_ _0"></span>y and </div><div class="t m0 x1 h2 y36 ff1 fs0 fc0 sc0 ls1 ws1">remain va<span class="_ _0"></span>lid as i<span class="_ _0"></span>f such pr<span class="_ _0"></span>ovision <span class="_ _0"></span>had not b<span class="_ _0"></span>een se<span class="_ _0"></span>t forth <span class="_ _0"></span>herein. </div><div class="t m0 x1 h2 y37 ff1 fs0 fc0 sc0 ls1 ws1"> </div></div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
<div id="pf5" class="pf w0 h0" data-page-no="5"><div class="pc pc5 w0 h0"><img class="bi x0 y0 w1 h1" alt="" 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class="c x0 y1 w2 h0"><div class="t m0 x1 h2 y2 ff1 fs0 fc0 sc0 ls1 ws1">END OF TE<span class="_ _0"></span>RMS AND <span class="_ _0"></span>CONDITIO<span class="ls2 ws2">NS</span> </div><div class="t m0 x1 h2 y3 ff1 fs0 fc0 sc0 ls1 ws1"> </div><div class="t m0 x1 h2 y4 ff1 fs0 fc0 sc0 ls1 ws1"> </div><div class="t m0 x1 h2 y5 ff1 fs0 fc0 sc0 ls1 ws1"> </div><div class="t m0 x1 h2 y6 ff1 fs0 fc0 sc0 ls1 ws1"> </div><div class="t m0 x1 h2 y7 ff1 fs0 fc0 sc0 ls1 ws1">Attachmen<span class="_ _0"></span>t A </div><div class="t m0 x1 h2 y8 ff1 fs0 fc0 sc0 ls1 ws1"> </div><div class="t m0 x1 h2 y9 ff1 fs0 fc0 sc0 ls1 ws1">Use Restr<span class="_ _0"></span>ictions<span class="_ _0"></span> </div><div class="t m0 x1 h2 ya ff1 fs0 fc0 sc0 ls1 ws1"> </div><div class="t m0 x1 h2 yb ff1 fs0 fc0 sc0 ls1 ws1">You agree<span class="_ _0"></span> not to <span class="_ _0"></span>use the M<span class="_ _0"></span>odel or <span class="_ _0"></span>Derivativ<span class="_ _0"></span>es of <span class="_ _0"></span>the Mode<span class="_ _0"></span>l: </div><div class="t m0 x1 h2 yc ff1 fs0 fc0 sc0 ls1 ws1">- In any <span class="_ _0"></span>way that<span class="_ _0"></span> violates<span class="_ _0"></span> any app<span class="_ _0"></span>licable n<span class="_ _0"></span>ationa<span class="_ _0"></span>l, feder<span class="_ _0"></span>al, state<span class="_ _0"></span>, local </div><div class="t m0 x1 h2 yd ff1 fs0 fc0 sc0 ls1 ws1">or intern<span class="_ _0"></span>ational <span class="_ _0"></span>law or re<span class="_ _0"></span>gulation<span class="_ _0"></span>; </div><div class="t m0 x1 h2 ye ff1 fs0 fc0 sc0 ls1 ws1">- For the<span class="_ _0"></span> purpose<span class="_ _0"></span> of explo<span class="_ _0"></span>iting, h<span class="_ _0"></span>arming or<span class="_ _0"></span> attemptin<span class="_ _0"></span>g to expl<span class="_ _0"></span>oit or<span class="_ _0"></span> harm </div><div class="t m0 x1 h2 yf ff1 fs0 fc0 sc0 ls1 ws1">minors in<span class="_ _0"></span> any way<span class="_ _0"></span>; </div><div class="t m0 x1 h2 y10 ff1 fs0 fc0 sc0 ls1 ws1">- To gene<span class="_ _0"></span>rate or <span class="_ _0"></span>dissemina<span class="_ _0"></span>te verif<span class="_ _0"></span>iably fal<span class="_ _0"></span>se inf<span class="_ _0"></span>ormation<span class="_ _0"></span> and/or c<span class="_ _0"></span>ontent </div><div class="t m0 x1 h2 y11 ff1 fs0 fc0 sc0 ls1 ws1">with the <span class="_ _0"></span>purpose <span class="_ _0"></span>of harmin<span class="_ _0"></span>g others<span class="_ _0"></span>; </div><div class="t m0 x1 h2 y12 ff1 fs0 fc0 sc0 ls1 ws1">- To gene<span class="_ _0"></span>rate or <span class="_ _0"></span>dissemina<span class="_ _0"></span>te perso<span class="_ _0"></span>nal ident<span class="_ _0"></span>ifiabl<span class="_ _0"></span>e inform<span class="_ _0"></span>ation tha<span class="_ _0"></span>t can </div><div class="t m0 x1 h2 y13 ff1 fs0 fc0 sc0 ls1 ws1">be used t<span class="_ _0"></span>o harm a<span class="_ _0"></span>n individ<span class="_ _0"></span>ual; </div><div class="t m0 x1 h2 y14 ff1 fs0 fc0 sc0 ls1 ws1">- To defa<span class="_ _0"></span>me, disp<span class="_ _0"></span>arage or <span class="_ _0"></span>otherwis<span class="_ _0"></span>e harass <span class="_ _0"></span>others<span class="_ _0"></span>; </div><div class="t m0 x1 h2 y15 ff1 fs0 fc0 sc0 ls1 ws1">- For ful<span class="_ _0"></span>ly autom<span class="_ _0"></span>ated deci<span class="_ _0"></span>sion mak<span class="_ _0"></span>ing that <span class="_ _0"></span>advers<span class="_ _0"></span>ely impa<span class="_ _0"></span>cts an </div><div class="t m0 x1 h2 y16 ff2 fs0 fc0 sc0 ls1 ws1">individua<span class="_ _0"></span>l’s lega<span class="_ _0"></span>l rights <span class="_ _0"></span>or other<span class="_ _0"></span>wise crea<span class="_ _0"></span>tes or<span class="_ _0"></span> modifie<span class="_ _0"></span>s a bindi<span class="_ _0"></span>ng, </div><div class="t m0 x1 h2 y17 ff1 fs0 fc0 sc0 ls1 ws1">enforceab<span class="_ _0"></span>le oblig<span class="_ _0"></span>ation; </div><div class="t m0 x1 h2 y18 ff1 fs0 fc0 sc0 ls1 ws1">- For any<span class="_ _0"></span> use int<span class="_ _0"></span>ended to <span class="_ _0"></span>or which<span class="_ _0"></span> has the <span class="_ _0"></span>effect of <span class="_ _0"></span>discrimin<span class="_ _0"></span>ating </div><div class="t m0 x1 h2 y19 ff1 fs0 fc0 sc0 ls1 ws1">against o<span class="_ _0"></span>r harmin<span class="_ _0"></span>g individ<span class="_ _0"></span>uals or <span class="_ _0"></span>groups ba<span class="_ _0"></span>sed on<span class="_ _0"></span> online <span class="_ _0"></span>or offlin<span class="_ _0"></span>e </div><div class="t m0 x1 h2 y1a ff1 fs0 fc0 sc0 ls1 ws1">social be<span class="_ _0"></span>havior o<span class="_ _0"></span>r known o<span class="_ _0"></span>r predic<span class="_ _0"></span>ted perso<span class="_ _0"></span>nal or<span class="_ _0"></span> persona<span class="_ _0"></span>lity </div><div class="t m0 x1 h2 y1b ff1 fs0 fc0 sc0 ls1 ws1">character<span class="_ _0"></span>istics;<span class="_ _0"></span> </div><div class="t m0 x1 h2 y1c ff1 fs0 fc0 sc0 ls1 ws1">- To expl<span class="_ _0"></span>oit any <span class="_ _0"></span>of the vu<span class="_ _0"></span>lnerabil<span class="_ _0"></span>ities of <span class="_ _0"></span>a spec<span class="_ _0"></span>ific gro<span class="_ _0"></span>up of per<span class="_ _0"></span>sons </div><div class="t m0 x1 h2 y1d ff1 fs0 fc0 sc0 ls1 ws1">based on <span class="_ _0"></span>their ag<span class="_ _0"></span>e, social<span class="_ _0"></span>, physic<span class="_ _0"></span>al or men<span class="_ _0"></span>tal ch<span class="_ _0"></span>aracteri<span class="_ _0"></span>stics, in<span class="_ _0"></span> order </div><div class="t m0 x1 h2 y1e ff1 fs0 fc0 sc0 ls1 ws1">to materi<span class="_ _0"></span>ally dis<span class="_ _0"></span>tort the <span class="_ _0"></span>behavior<span class="_ _0"></span> of a per<span class="_ _0"></span>son pe<span class="_ _0"></span>rtaining<span class="_ _0"></span> to that <span class="_ _0"></span>group </div><div class="t m0 x1 h2 y1f ff1 fs0 fc0 sc0 ls1 ws1">in a mann<span class="_ _0"></span>er that <span class="_ _0"></span>causes or<span class="_ _0"></span> is like<span class="_ _0"></span>ly to cau<span class="_ _0"></span>se tha<span class="_ _0"></span>t person<span class="_ _0"></span> or anoth<span class="_ _0"></span>er </div><div class="t m0 x1 h2 y20 ff1 fs0 fc0 sc0 ls1 ws1">person ph<span class="_ _0"></span>ysical o<span class="_ _0"></span>r psychol<span class="_ _0"></span>ogical h<span class="_ _0"></span>arm; </div><div class="t m0 x1 h2 y21 ff1 fs0 fc0 sc0 ls1 ws1">- For any<span class="_ _0"></span> use int<span class="_ _0"></span>ended to <span class="_ _0"></span>or which<span class="_ _0"></span> has the <span class="_ _0"></span>effect o<span class="_ _0"></span>f disc<span class="_ _0"></span>riminatin<span class="_ _0"></span>g </div><div class="t m0 x1 h2 y22 ff1 fs0 fc0 sc0 ls1 ws1">against i<span class="_ _0"></span>ndividua<span class="_ _0"></span>ls or gro<span class="_ _0"></span>ups base<span class="_ _0"></span>d on lega<span class="_ _0"></span>lly pr<span class="_ _0"></span>otected <span class="_ _0"></span>character<span class="_ _0"></span>istics </div><div class="t m0 x1 h2 y23 ff1 fs0 fc0 sc0 ls1 ws1">or catego<span class="_ _0"></span>ries; </div><div class="t m0 x1 h2 y24 ff1 fs0 fc0 sc0 ls1 ws1">- To prov<span class="_ _0"></span>ide medi<span class="_ _0"></span>cal advic<span class="_ _0"></span>e and me<span class="_ _0"></span>dical res<span class="_ _0"></span>ults i<span class="_ _0"></span>nterpret<span class="_ _0"></span>ation; </div><div class="t m0 x1 h2 y25 ff1 fs0 fc0 sc0 ls1 ws1">- To gene<span class="_ _0"></span>rate or <span class="_ _0"></span>dissemina<span class="_ _0"></span>te infor<span class="_ _0"></span>mation fo<span class="_ _0"></span>r the <span class="_ _0"></span>purpose to be<span class="_ _0"></span> used <span class="_ _0"></span>for </div><div class="t m0 x1 h2 y26 ff1 fs0 fc0 sc0 ls1 ws1">administr<span class="_ _0"></span>ation of<span class="_ _0"></span> justice,<span class="_ _0"></span> law enf<span class="_ _0"></span>orcement,<span class="_ _0"></span> immig<span class="_ _0"></span>ration o<span class="_ _0"></span>r asylum </div><div class="t m0 x1 h2 y27 ff1 fs0 fc0 sc0 ls1 ws1">processes<span class="_ _0"></span>, such a<span class="_ _0"></span>s predict<span class="_ _0"></span>ing an i<span class="_ _0"></span>ndividual<span class="_ _0"></span> will <span class="_ _0"></span>commit f<span class="_ _0"></span>raud/crim<span class="_ _0"></span>e </div><div class="t m0 x1 h2 y28 ff1 fs0 fc0 sc0 ls1 ws1">commitmen<span class="_ _0"></span>t (e.g. <span class="_ _0"></span>by text p<span class="_ _0"></span>rofiling<span class="_ _0"></span>, drawing<span class="_ _0"></span> causa<span class="_ _0"></span>l relati<span class="_ _0"></span>onships b<span class="_ _0"></span>etween </div><div class="t m0 x1 h2 y29 ff1 fs0 fc0 sc0 ls1 ws1">assertion<span class="_ _0"></span>s made i<span class="_ _0"></span>n documen<span class="_ _0"></span>ts, indi<span class="_ _0"></span>scriminat<span class="_ _0"></span>e and ar<span class="_ _0"></span>bitrarily-t<span class="_ _0"></span>argeted </div><div class="t m0 x1 h2 y2a ff1 fs0 fc0 sc0 ls1 ws1">use). </div><div class="t m0 x1 h2 y2b ff1 fs0 fc0 sc0 ls1 ws1"> </div></div></div><div class="pi" data-data='{"ctm":[1.000000,0.000000,0.000000,1.000000,0.000000,0.000000]}'></div></div>
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