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UqK7fSkNME1KGuIyIA0Qxk0u8FfmsF0medmkncTn6ZClmCqhFWnBXDwhPEjmZOeGTNR0hBlOg2zIuWPmRn\/gWSdArcAKd85WXEYosLnOrvP\/sDxlczf0XdP86yfN5sghoK+pRkCN0BXDeJdCVB\/m0Z48coR505f\/Dh8L\/6KIhy8\/MAI7DDyecMs4MKYnsEKnf0u+TxOAg+cf8I0XyIW9\/IlnOBdneAieMz1PtDfAKxZnAQjAxzgWB6RFck5S7388fMjcJNc3IXUVIIOe\/z7IJqMCfvSPhw9Z0ir7BR77eScTGNrTmP3kS+5iRSyJnN17z7a0ZPkhW31Z0UNkez4bZ8Fy8vcDTyaty6FEaihvjWfGT2dxXoDDPnMoVhiBizRzMC4fTGBZMBYvCqNQjsXb9xyTjCVyrUAfjee5vqtG8zhhy0+cvzOejJL89NI4SEZcE2ePLPBnjss2TQ\/G5XqmuEmu77lkYJbD4q\/yJlmOWx6YYwdqYKJ64SbDihz7ivtlA6yC++WZLozLtWxg+6TwTOZCy3EFjlUelx0R8YkKDm1cxosXB1eNzXYgm23m2LgsHc+L+Ngcz\/Ztcs9sRxubFUblsVlhMDU2RjobB9lpMkJ\/neOLqwZohSwV9bqb5\/q2x8s23NCxLSpU2wrUAENnarKZLhnf63gcHyejWBvcFcMKIWA2SwOiiA\/KjDwL71pkaTMt8OlMs7n7QUZlhpanRvXqokjPhTwfDhlFzAd4jVR919n3rxhfGPDxBT5LamQ3zTctk47PDOhNs\/zyjPND059puwz3ivF4jrfvXSXECM2X6+EsC8Mg1MyXY1HzZfnTBoyYjKd5kozG1xpT17GvMl\/85jh+KG+OH1Lh2RbTBXlzbNvWB+ObNh3Mo3gwTE9OrhqHHezbV9wWxol+ZPbTZQK7BC8UTKe8LSFj5MRI3Mh29JFYph\/ZaiRPPn7MRi+zo3RoCNv1dpIfiaV9enBOaF1hGawowsEFJisDg3qpgNVLydtkQkhdySwqzyHTdB01OFEIeCBA3kHGXL2PxqOYoaDTPJuMjq8cJ2TNXzvXo4jZfyhc810qTjN0qAVzLLd8E+0o1Kx+NkHtu85oOVbI6PXZguUrked4eO9sFzRRjcn1iGB92\/bK984xyRQ7PEuGQ0MulFeMyPbD\/asmfWTi2ugJDfQCJ9TMaEjvku3YU2uj79GplgyzkfEifp3lRWI8RVs6OjUYFX21TbWdK1dvi98zywxQjo4b0pXIDCxyzwLTDstydB3\/WmV4o3yPmdAiCK5YhqwoxNGFdiC0wQw1C8YKSIk2OGUIFjg2uX+H8cj4NxZrKDLjsEjic+PJMBkUOfNOr72BVuBfMe2sKMJp55oRAiDbizSVdSky86PysuSbrk9U4fs8TUbH4w9ZdoyL01WDsq0rbT8aOct1PNSFgMMwMSjXs8ha6buBMz0oU0MY5wxPgBdx9fJoMZAwe0BicQQQxvCr49oRVQXLIqIMwylVYECOoOknB6+Mg2ev96yrloCrwJfFldKKBDB0GA4jI3GikE4q05kyE7ZNcX3yMR4br5Miz4QrPb7KennXexqO4wizb0c6IPTcgM6h0Joyp75F1JCB0wsWlzM4v1aMGcfDjcVVRuJqax+h7+EFoY2Ld+RrjpAVUWRju2U8GIYBmU1vEqicNH5Ii5yb\/M8AiJZHVLF0fGkpcCIrQqgYePpsi+j9DJyo7JQEjk3W+JfZqDAeAcKe6Aj7R1aoftVA5wCzwLcFunZdW3NNTA1dl6Xt24FPRseps+xsNM5GyHyie3Lw7PWVHt08gORGTsihmhVEnmbQwogoiOfb5Ztnm3TVEhjkunU9IJZspkytiHmgHwEBiNJ1z9F1JKB2NrCiKfhvesSCvEkHCSH0rgL8VzrkIZrYKAjF4u5GrmZHPJcu7mWkFjkhUVlW1\/4yKc6yY8amP8vGF2kRDw3jaTyegye9eYbOsbD23gUiQ60BUH2lDN2UEoQmJTBevzl8bnx\/cCBwR3aVW+4SQ\/I6KQbZu4TKkc9+J\/BDIcfAjTRPQBuW7TgQ2ZlJYl9NeL2RLOeuUST5eTqKh5zwnCIlr6XDpi8LnJjFFntBiv1C+c8HFhM7z06xdxX1ylIiOGH6wI4+EQ6Nk1lIoZ1zpEkINKyPVgQaf+PXEWi\/kHGRWzWLEBa\/pf9aksHyh\/R\/IDzwrnYX8KOpm\/1pirf74FtO5Hk24I2pu67m38M0V6vZv0iXhl0YIKzgKhxHJ1NMH6gDNc\/NUGGLD1YYubZlBvMuPozPM+Mgz8YYpjo\/T3JpaPkQQh9BtGf6IXU8PObtEIPuhY5PRmCZTuBalmXNG8IwuWSGVESEwJmLR5f86pYH5CTDeqETaHruBD7RKN\/zGd7RhDXIRoM8KZKfeUBBDc633CgKfcueNzZCnzCTReJbfUR+nusKWkSDopYZMtqA8CIulY\/rRpFtm4EzbwTvgWAHGBWaaFp0d8v2TJfcCNdxmIfBGyNA4P7J6DRNjB+yvDgzHp4neTqI+6WpYvteNGck\/Ivsx\/8tFpPT40upZ7mRT2eG6weEgwl9LyC\/3TNdL3LAT77ueixddRQbb5NxYbyJR6cJ3vHQs0JcwD2dRIhCmyxNnhc6Cv7nlutHTjT3qvlpNhYzz3U89DLCUPMyXNOhuNWzrRvPPI85DZbvztOK\/F1yHhvPR6PsfVywuA0YhnGRo154vuVww+Cbvk+ng2mx2mfCmYe+wq0fXLj5tjnvPhTxeJAN0iIGW5Cz2K6a9cxh5ZL3Pcu1NQTqhfTiYWQ59MdboRfY9pyLKxYMGC3P9ZDRskJLZ7RsS6O02HQg8\/6HN0+Fr0nGEHq+bTumOW8M09QN0DBuhK6nZ9qm5g\/7gUt5GN\/WR8MM\/Qvo3ZIYL+L8NDGe43WTsfGjcWi8eN2ncjJt34\/cuaMENuK5Wo+Q1IHoWugESDB4rqkh8TCga4cXMNNJxvqIRQKNl5iqfYhta4jNsEPHcR0rmDO8ZFh8iC+N0DjI8ossjwu+tORCl00XPa8w1GhTzwtpqCB0bTMqG8\/ACvw5l88GMdMfwYYfFlkeCzviOIHoThVqjrLtmXRhdR23dG\/EWRVtQGdX6Fmm586TW5ZPxvHIeMkiHOPzeIQ23g8c20FU6xCWj4nMoTR7YJmEwP1gh6bpRpY774bkaWYcTi6S\/GTCIvhpIW5GEIbcmlgRVTJv3zZDm\/gfXuAQL\/iDH1ihE4bh3Otmg7NxwXokCdtqC9saAnQmttV2qRr5thlSyXuhF7mu411\/wYN4yNJ3MuP5VMQN+CMgacCy+6av8UdmQMlUN2IhaiL8K09MZOGbXhBGkTlviOMiz5hZT8YlzBNYrs\/VInAjamM826fLqh25RCucKAoif+6dIeEXxQ4CDeKEoYwHm3pAhd6UwAXgOc\/OAv5zbDey5w3oPPkoZoUfiVlhBn4J60V0xXUiHeIcPHn55D\/6N12ELcdm9KXj+fPGBowTc8L4CO3QxkCPE3omFY1jhg71i93QorLxXdO2vHloTy61ZZhpu1GITLbnm1Q\/Hdfybc0fj6h+Rq4d+F4wB23M4EE5q4kzwnNcz9dYTS1eE4YO01kijtdJ\/I79AnbC3ZKJdG07cCzPiuaOaToy3RcRZoSAjmdrUXnbsX09xMzQiK6\/F8wRpiaFEUG+b8+bC2fp+Si5NN5kg3fGP9vGi0Pj+x9Mz8Gpawm\/3w4izYC6QURjDb7nmJ4+pLS4NLITAwml8iTmqUTa4mfbpu+7wWeM98nw3dg4GE6OcLS2i+QJm9Ca+Q0sn9L6nmeVFC1neIMZL+hfqA21SIbJIDs\/n4zSAbcsFPTbkRU6\/jxr8Ow1zj7bsh1UNTsIKMB1QoANijb2XVdbIlwn8Fx7nq6lRXycDCFkyPpDIDjQwJ7vmBxAeTYYHIKxNXsUBmWXC88+NB49OTwsKYDlhG5oeZY1f4R0YmCK4ffxAFoaGofZpDj7wLyjn9iF\/tlCd930AmEprEBz132fIgjWGHTOXPMcFnid58EfDJM4N17E7xLwkTWU5crMHptNLc2G+JRv9W3H01WVkVAMhGb5aTylFafx+OcxXoje2ci3LC\/y5q29w2ycHBvHeTocjiUIisJQOJZ6hoMbBYHmWAKFrN+5BM80RcHMg\/AHrOnnQZ4k74xHLFk4GY8phg9tnIFWYGvki60lFvhB4Gs64NiO6TvzJJdng3dJUcAsFWrnBJjKYPFgmlS7IKThkCAAv4wI7PloIFD+MT8jMfqe57LYmDd3QKP0PCmIMWT23vScSJCqIZWMHbpaINd2PA0tBp7l+I4Tzr3q+OjSYPO4lKFlfMN+x7fCHLgYd\/Fsx9TNgRfo5kC7Ma9GZQ+EjNEM7MDzLX\/eNJkURTKaRgYBxCCZJ255vqVNkIAC6cgD95Su0XCqx8lFVhhP84xl9ZaXaoHhwjlrzeMkueD2yDjI4xHP5H6Tnp7yuBxAO4gec2jnOBq0CzUuBcxAGcaxJplQufbzAIHyFJ6wzbljvCI1kOf5mb7I89MWGwuhj0r08+cjCjeKHM+f5409TgfvUhbdwulley6f5Sxhis4uz6dDcH3L8z6H33Mi1wt823XmDYe9MyiMwIL5MDr+oC04aB9spJ2cMHC05SXwqUUKPNOx5ywvLvO07XlA8HH2QdCNkeUL7kVz2Zml06gX3y6BfdcL53HhT+JxYTwZHRsvAbs+mxwZB\/H5xWQsoL\/jYNQ19D3NMJo8f1b5R5oRchjYZeZ7\/uWzkcqNAIrCQrLJc0xHw7meT2FaGEBcXbvZxyBOKHcoabRjhYEzx9w8Gb1P82zE8snjoXGY5O9TVquhedEOSBggr6tDXt+z6dLuhp7zOZA3TwaXgyGzHRpjb7qWOw8\/PinOLofJiK2o8eCdGKrHDCzKLvK05Cnb1dIiPJukAskQzpxl9CYJTDwdyZe5GZrzaAYQeCP5SJHOHfIraHL0TZvZSmfe0KYyl6aWEM\/3A7w7kR1o47I04xx4gAi0cX3MRgY\/P8Tb2I+GSqXJxcXw0jjI9jVLZIWe79jRnEF\/nxw\/+Wh8nyfYHI1pX2S5Duq+5WoQgMVxqPIHLC1M90vyCbO0pyU9iMzQtvx5Q8nzeHgaS95KZh6FVqDNedeytHXMZXSdNgzoOx0Pf2Zn0\/xP1zSZFzpnJCwkzUpl\/szyoVlZvD67LEtEYxzf1u6QG7rUWAQ2oNnrgX\/oBWHgzr07s5K6eIKWJRO0rEhP0KIz3XeDEmf\/PybxqJicGz8W3Mt5qpImKP0cuaEV2vOiKE+TURazgrN3YMoF6RxEIU4lx9czrUNTS6WMHJ3oehbneTo2DpgoLo3XeTJIR4PCsLWJZUWWHQbzKNGn6XDIPHNG\/OXJeJzlJTrOtHBvAduxNDYuCE2S4+baJkmjz+3Qc915sJ+mPKtcwavMluP7foQhTk\/zi1j8MqR8pFnCRowYhEQybb7bfmja1jxe8OlkeGIcZGxR5o7vw0nBumIJIOJFgXB0rUCrgAhtuhy7dhjMByKMtXfDOX7CM0b+Hk1YrQuiLRbg0FGCGyGF6UW2Nrkc5k8RPO54lKhjmNEJI9OfNwIWoB9eznIV7QBDB67nmDoys0LqK5pR4E5f2bnhlWeGmhwT0b3ruRo28vxAy6GzLI3OdyLPdNzQDOZdnOnd0SQ\/NV5Pzi9K89OUMRPPs7XAeOi7lsaNOvMYD8vxo9AJvHnu2LODt28eGk+z4bHxMhuPjf\/k\/YrADtuYL2H7wLAQO0wZYt8JTPca6\/I2Gw6NN1l8rE18bfDTBIgXBnbkR\/68+\/nkEVoZK\/RFAE4rOvEc36TZCy6EJEq3Lk\/OsslYjwvaQeRGjjXHz3\/2\/PCx8WhSDJOcTWXjUZyLZcwMUa1tL3C0pSMMArp0ODYzPvT+IU\/2\/PBx+U4dMy93htftzbtRr4yDIWtrQ6yjXOJw1tmBqeWWu54VajEkN9Kt4us8E3QA4upZI5t3B29YAgEpj2FgynIGDd+FLg3uBY7l6Kvxq4+Xxp\/T0eVwrEenhVMT3nCUr05OxmdZnoh03UwEAh3XRkzsOXo6pu16mosTBiVM\/OMhy3aHTYlu6PgwEDkv8eH56Di5YL0VRgVfuow34I2wwlh0ewIMPthBYGlMhhdaWkKS6Ts39Gw83w\/nuMHPf3jyiv3iyzwbTohT4XtyoydTpw0sz6KR2ygyLTrPWOwkcOdFqlnXuJxt\/0TyFfQsg8DGcj\/Pgwo7ErLWSgTCKHAdDWKaNvNwr7\/+7ATg7Jxljh4bz5K4MP6FuzR9md\/ri\/xeLQHTDCMtku3bTgmt4D4yxsMkz0bxpEgHY9J24eHxeTpic6uMRn3Ttk0r8r15v4R1lAaL\/hNj7WfeTVmx4rGkLGqQw5AW1UQOXcPZFAp8bx5c\/\/f4gmYsA+dkOy7S85av3S0vook8vhUSUmPkhb4b+v48XvDfXx08M14+fPvkzfOHLw6NRw\/\/8+2rn37ASweQrM53B9MwAytw0VKMI5+EUn3f8hgpN2feQDji1fDy\/CKNjbeisxrPbteYP8cR6eCOp8XaPY+moHieH1nzVhUGHlxvLhX5Ih4V8YglkKSjguU9st4bBouZjs\/i9wyAY\/49TAiI+cN6aGsGks10zVsJaYKh47uBFc01dy\/jweW\/jo3HwmaWbw9zkYRXGWoUlOMENMcvcBzLnuJA3dCed\/3TUTZkIvoPycRGfLGKIs26Wg7NuXPDyP8sEtQy2aSZm7H0Ms6LlOXl5GlSFLEIl4auyAT0dEjnB9TG+i6TiE5eJ7gxlLozjumyWoM5TtrL5JL1oxsdU3217EBEQsxQ5x98LU\/HD6KpnMQprMtybzzXDOdA\/5dpMZ4cpeOzlNnb95c0b424r7BSjOIhGlGR8aUIigjUmt1FM9RIONe0tfhaGHoRTRqMQs+dFyzVall+ePqC8bciDc7DvFk3ci1tgbJses9C1w\/90pyaLjh6LRvUaIjI8V0nYrNy3jAB4x8O8viCFUbIRG\/bD0IRgXD0wi3b1hK9LZNUtcmQ57x1\/OWPj9GP5tQchjyDQCyWthbgdqNQN35OONdzwoH4NxjITzMILIlSrcDScxKiQKvM8dzAuelgvJsM5u1rHAFUrPEAsJbP7EKTRDoCf74jaXmeGdpzxCIxx6t0yGLIxp\/jfJAJ4gW5Rtd1Ii3269vU6oSm5WpUghVavm364Q0vfZieCjhum14oSBWON1TSRWDSDCzI19TuwHk8mpywvQ5zHd+6gckq9J0bjgaayvztb5nxNh0m372M86NhIlQkDDEC47paMNyxNconsCzS9uIDS\/RkXTLmIIYfkgkkXz2aZJfxaHBpvIjRgrgudBEFjB1q9t9CyYi7YvoOvW4Y+uwL8677ARoSgTVAb0O6mY4JVR+8Lkyrw7JD4A8USqLoHgBhFNjzfnI2LETynecEMjrhaD\/SdB290sSy\/anygXllLrAwQ7ZKqMgrDYjZoci1McNAB2J6rMsyyeVD13WcwLLcm14eil1YO8ZxGYFz8CBgCHr3XhhEGg73HBrbihyLpttBcxx\/Xn77D9n7bDb8j1ykWj3f1ROiTZsWT0asuoSknDqW75qOM8f0vorfGd\/H+bnkKh0P0+gCWPkIVxlSZQ9cvbZIUBRzfuar48vxOLmc1YtEJBi6mHXsepFr6cUzOm0IhcKUmMBzy\/LfWVyK75gMkJtz5sardFjwLWX1tBPXC2xRZ8tLKlSDg4AGewLOBWnW8IJVTg+TyfnPokxvRjBz3sCGLKQmKsECU4yGtUHSHH2tspBNnSlL4MxRz1cf0yIZZcIrNHEaso49Wv8L36K1Jb4Z0bQjZkIsz59j6V8bz4w32RHJfPBZ\/ItjfjsItFhH5NDMh9CJpvM+5l1OFGFP126ZkagA8PScTdZyRyvW9FxrXtKH44e+FdneHIfndTp4Z\/xnNoFcFIHqPdMTlJKr5bO6rmtrXGJo6xGpF\/\/+P8r8Vzwpsp8\/5AmEv+kAAzMIfDNwP3+Aji1IWdextI5Jtm\/SGhyW9x581ni8ecZy5g0LHGyW5PmOryE126S5MpEJBdY3Gg8L3LnO3IXsdQoVkv82GQ2wVP44yTndqqc+WkFoiZQnW\/d3LE8rFWJUQ4lb8ex5cOV1Hh9nzC0pWE9vViCWgSGU6Sp+FMr+SJpxNx3b1hokEW8LyuRcc55pf50n5ynzJeLhe\/WDPUeELAMdPLqu5WhZxbZdDsmNmUf08yULo9A5wshzFtGcMxzYa1qlqegpS6z5iyU4DC1+6TmBpxVO2uHMPBWowtzFUOZcEsg1LdeO5vG5b5LzS+Pf4uMEDZOeKuJ7jvBZPavE6jqazxqUMo+vjy7YVhT6pjuvOOVmrSxmjdyJQAF5c4pQy6SLfI0viiI9Kej1wXN1PT0PEYLhgR+E80bNNx03pDOheC1e3axqbEIb+xt4ZqCt7Z7lOo5W1RyFN4h8eSFLRQ0j74ZDfDs5koVoFvYB8uxAS+G0Pc3tDIOApd\/cINjBwnq243lz1OZNxnaFMN4ah\/H7ZHiJ\/MCbZDCMeSP8kiK5keljKWbELZgqvbVpEyovCExbS9eIIs+ex40wUDA+iz8YjMobJUkuvSDPRJbatUNtTnluoCUdhkEYTHtBc657o\/5JvBeSLXoh6an1pms5WkWCG4WzEyFmFg0yB5Xl54bzxlkkw7RIjLdnSX6uV+TadijUzgttLTvR50kuqn8ggVBOEJm2My818TD+wMpBWYx7bOwhx6oi3rblWyJlXG9NxlxKrRulr189tPzQmpcgf4Ori1aYrlu+Ok0OD9zptEx7Xh3w4RnzDN+KDDLR0Ehk5Tu+Bj9sz6Mx\/jCEl\/OS0RgosyN7np\/COrcd8\/i28ZMwQRCg4um6IqQa+Fj260aBng9RatXoRpRJdJzQjlg\/qpuN4iWrnZB+XCQKxSxT7w2pFRqHoWnbOuSKwsidVxZXalk3a9lxPdF1yPG8INCb0dl6gVygBw7UeUVPN+NFep6yIgbB9Z6lF8Y3j1+\/efH621JiNft98xD1YXoukq00Kl\/4c7YblWqwPK3Y0fbsYH5RWBTZfjTP+zh8+dZ4zvJ6WTPvqwufbF6zBlUFGmJyLIv6I64HTQnJzdQuMF36FJmR7\/qhOwcb8VICkTzwVjjQojORSBCJSqxF5PnUWfJDN\/gcr1ykp86LasLokpjtSTASWaoG20NJQO\/IF8Dfc7VaBztyaMzMd6BT4RzzMLJYK0\/mFUTzblsRn5xk+TGxjoyDxknm+vrK6Zha+ZVVwr5\/ngwHUKGO27UR+HSTdAvXdizPseel1B0WyXAYs62heEGlF3iq+wbSkZavRcJZ9w0q5tCLqF33WM2V48\/LQDq8HBfJufFDtm9YCHz4tgXwjsCyMjYc6LCDtdCgqQTAWJKb9\/YMNmM4SvNjmckq6itmFnj+zJsNUczku549t4rx7b7xbF804J6mOHwfb6Jvmnq1hmPRTqaRa0f+\/Jpu3wycMIjmzcO3yeBslF58\/\/JAdhcQCDcwtV5dpe4CkeX5Wp0kSxb35gUyOLB6OCky422enss8MkzEZOSFreeRUYDvR0HZ+XYif94vfPbEePnkh0PjpycP3zx79ePhE5HOZImSCE+Lp3ksHK81FvBosN4JbFbTMgeoCtwnCpiyTERYZzVpsSLZn9XxdCseBVpBv+n4UWn6XnWhWZlq8+5VdhH\/bSp\/zjcF389KkDXOT+PeXLtU7HS9fwvroBOE1rwx5UU2FFn9jhP4orpeb37BemtTgsAuJYRfn3QgMruCeYMpxOLm+VEoIk2mlpBpsrCvns0VadYitLGV6LVX+jBiPcZ4d7tZScROiNkmruua+gTWuzealudNBz7mTIU\/s7Z5xtM8viKNmPHUSOvZpQrciGZ\/sPZDXjkbyZvne\/85u4jfSTShtUCGvlKR3A\/BcrWGSsi3S7Zfn5Bvsst4aMDJS\/mGXsRidtcP6ieGI1gfmPiU794hA4B6sZUtYtN2AE0yaLFVqJGJ5hTqmZV1yBNi\/Mhx5o1v8i4Zn8V7r5OY8Z4q90NmpJhiYHpPb5ZNoQ\/MC66p7PxTMquDiB1Zzjyyau4QHQcjm3bACwXVEC3qnvhuNJ2\/Q4Y4o7h7jmpDot\/RpaHCj7NqvH2suGbNZ2x984tIa7AX0cCrb5ksMmpanzuEmarnir5WnqXPfubRUhLKtz0t\/MqSXj3XvMEgIPVxxu\/3RPmZ5\/l64YJL82kj0470th2h60feDX7+0SS\/ZC07yOIYRQKiR64+a6NA7z\/kRb+uXQfmBFrBDccJ538ai6YEzIyIoledXHEj2n3Rd6BBJx2o1rzmJpVovKmXfQNZsqZedNEIkHAIOQ1IcHJEGxaxJCm9KY5jOnMn8Fk2TMbxMCG0nKwuJJLYNZ6PBvsitB2I5iF+oPfpcV2NDnAssteAmM5zjWI6Oj5h3p+iYch0tkOxiPHopZrOnoa5LZde2mE9ZN358yQdnbKdg40XSXw6SWC6CJLUw55aUahVHplBQB0mN4xsq5QoGrjzyMefYNfX5\/QTSA8NsJOW49umnh7qRFrtTUCzU12LtRuncAU354K++Bb6rI4ZkEw41hc\/0nrO8wCb7uCz0xBWnjk2phV4My\/EaFcMc5u+Vhdh6o3JzdBzr78QRA8jFgFQVyLbk8leH+ViP8PxZPmmj\/0cbV\/vfRW6Hp02vl\/qaQTZzWxjuXTEy7WhU2l6kbCWv1e57brqIy9Djems0We8XjGDnreQdz+8PJeVEaxBOZINUaj1qnUiizaNZioZ7PZx4zq2yJKmt\/rqix\/oSR3MiaT1MdNDxVxUkeB2kQzSGJxwkcYpyp9s0VEgCLTNUnyflqm6Ngs3zxjvny7UHZgz8JEXeo4fBc61A39xmY1Y36C9g7Q4zSQFRnabgP5XtmgA7\/qaibEdT8sFsRzbnQKDeCp1SwPTs33WQWbmyFiTEcd2RZeRIKJtCUN+a1SXkem8wCzVSbbQdAPX96+8mMeDxxyI6y2PGWTVgLhlz\/11uWU7buia0XW3\/TVrH2dMM8GCXHbUTid6xbCjb1xjTzdC493trrkjzEv0o4h2NhCdp2UT4KPkPM5FHqRr+aL9WWBqvoDla6NxPJoXynXcp\/z+1HWGbN4K+gBYaTDDTqB3gHctymUELq3P8FgHlcinWUDly3BHeWQ8HOSXQ5ZGjTBQRI5tltmjNWkwtSwYE3oB0Naq0C131\/ghvbhgtUJn2bvJUZwKl5x4BBIkKGWO2SjSwc\/xID3WG\/UGTqCRweXfIXr0DvbFlcYyswj747KNjiI9s8gq7XRkT08F68prPnp4+L0oXBGrl+PrncHZ2qrtGBZEpVohtu2Zd\/U18nj8TkwD1lta7KETaqX8ZhBq1bWmFxJGILJYVNCl+c+lyxykoyJWzVWQDXJNW2PrHNOnza0DhhmJbgd+YDvh1XPtIINEhr7cQ8kWoQPPKu2hFGihA8ub1pyrf8vj3HidXFxIbz2KHNRQy9H2M3QihzJKPuMapwPW4ZUX+j7LmSl4Z7xO8pMsP2db1E\/1jHfFHmCO7TuaAXV8aq2Z90S4T8u2TTtyWS\/eK6\/\/9MD4Pj1K8tNhPB4bj7K4gPYKKulIdOlwXTfQk440T9suX9ixLVPrU1m+MPCHQHCOoTDvXwgUEXEXE3Olbc\/Rebwoors1+nbkEY2Iwsg2Hce9WtOhF8FPqQyxer7ojOmYll67ZgW0cMIP7MDSuraEru2E5tU2+FnyUfWAEF1qfVPrketFDv01jhf60zbk6ktAJalIuo5E1Ynv6rsOsiIHrQjP0VKAQ9bGS2vuWr7K60MJX5Cp1RgtL3AdeQ9tfTM4DeTbrl9qM1ewLeEhPssDwYIHplb9PGP7POsBlcgx7TC8WotfPjp4LptPYr9VL4BeoySpIKKWImIby1CM5\/gsNca9+u6\/fPxc0D6+aGARBZG2\/5dl+voiEdnT4UDvmln0Mh2zzRRSzibQgk\/P9mU8UEswd+EX03hgifdAJENQMLbX1UKVrFbAdSz3ak3+4cmfHxozysNCbK\/F2mdp1S6hpZURuyHr\/kmHcc4X3+HPZ+\/jwZ8U1Po5T07y9PgU09X+NMgyxoL+XEC5sBp1YHku7F5x9aDfxOfGw+EwuxSeg43Tw9ZDK0w1aQJI4HlUdLblWqbN+lBcc6X3Ij\/e922xlZJvm1pitOXRvoehBfFJdU+svaNJkegJyqZvRgy5XXPpbPSvY+NZdp6wOvNhYnyfZcLkWZboTmf7npZm4\/KOo4pEhc1z1VhOsmwWrrp6jTmMx9lQD6qMphoHuDxyCNoTRnrydqA1t\/dNkqMuNdSJrrz+W6WhkeWJa7ja\/ec9hMg1HC3vLArcwLwG+7wVXW6x1obvjaZFaG2WFayFKUMS5mZJM2Hg+9f8ijwdMeXHXZYMCMpmw0z2aPJD2clPryu2gfIk\/e\/JhUcso4ehFi0qW7r0T6wf1Osc6ppZIINmloQWRlk8J4i0AjMzsmmAiTfZo7E2Fin5aDAENC6UI0+GxvaZi1zWkP7Kof3Xf7xWd0JGCNieyGh8fEsr9zE9S6PgrSDQJje4cmwfJ33nd7qHUw6ZImQPp5ttCq\/v33TEtlBP8r3jNE8ghSBP\/tckGRfsSpOcOZVnRXExfvDdd6fp0Xg\/ifPijO2svj+Kx\/H+afb+uw\/nxfi75GJ8ysT93VEyLr6DS\/78wvn58eUoPk8HP+PIfoZ8iJ+fwMj2nr04\/O44OYknw+K7X9huTJ++e5plp8PkZXwxBnapSI+Gyc8vkvfJ0LK\/++Vvn7775fLTd798\/LR\/AeHes4wNtH\/FyPraHk98E\/o99s4eKyYEpvEiydOMffjaYq1dCrbPUv+6QfRho\/n\/yrJzxqDDbvP4woIXrLYQNqdn20ANh4fJIIMNpBgFN2CJzgMmqIyB64skN9gW1H8yirPEGCUQQmHDM07y7BzeHLKL7plGkQ6Tfx0bU7\/AOEvi4yT\/k8HWo2R8lhwbcWGcZ+PCgEvExnk6mhSJ8eEsHSZwynHBUrLSsfE+Hae8AvJ9kqcnacJug23a\/p5l7gFZDJd7m54nD\/ntIh9bb03zAfzvv9gOVYM8OU6ZJHCucakbYj7yLBgudf7jnr043DX4PnyvX+AM\/YYxjXE6Ghvn2TEMyDhgWjpKB5OxcZgADTk0mIj\/ZPx4+PTQeBGPjsdx8e2u8T6N+emePn90uGt8SIsz+LWoT+xL7Jcm4yI9Z08f9B8aA+ZppCfYUZyPK7sooOdNeh6fJvnln4zBMJscj41hEr9PjNP4YvwnY5S8T3IjNk6GzBp9iHPWm3DXiI08KSb5aI\/PKeMs\/lucHxsZOzRPx+8MnqTAKIJ48G6UfRgmxzwyC6EPg7wJQ2fcf3YiRsJ+yfv0ODlmEbexKEeAMbPf\/a9j4+kwO4qHxnM8\/hHotapc+IbdmW93jYs4L9h58VtPmNYYuA+L8TguYsj7fD4CHxBuDCY0ffPk8PHzw2\/Z+IfpgB0OsSTYO+3Tbv9okg6LvcnF9RbqER4FFxknrKEQxKaFrXr26OHhE4Ptxfd3sFI4fX5+NjmPRz+Lof38cHT886EcGhqrv6ehGjMGf\/AA78JvapOuNEGxwa8qNObzzEIYRXuWvedQs1AygDhNpKU4eP7k8PkPu8ZBNpycH6Ux2VpyF2YHqPPhk8cPDx6IuQ2CMuQcesgKo9QcQvvyDcyhb8Uk0lSevVfSe2592WaLzChe5OmoSI7\/eyrpJ\/bm6J0QxnpFfzTJo1PZqfS0d5ryCPH\/7Uqn0q60KxvaowX\/sX\/ZMa1Ku7JeacB31vDRwMcavF8nj3ali88acOR6pQXP1RFrlTqcjz9fg2dr8O4aHNnAf9fwzE38\/hqelX1Sq9Tgm2t4dB3eWYXHSmW1UqtswLvVygo82LtVeJ8fVausV9Yq1coyvLtcWaosV5YrdTxqpbIEz6qVpcpSpVpZrCzCv8uVBXjcrtyGf9l\/t+BRqdyqLMAz\/tkCfIc9+PGVylLlS\/7W5INKmP+7U7lLJK6eteC4FkquLFsh3w34XMh4A761NlO+DU2+TSJN9o0mvtOoNGEurKE0GlKG6\/I8DXn2Nfx2A+dHnci2IeXdhNer+KiBZNiDH0clKx7sOD4XGvC8CjOgDnJerqxUavDvMryuEgmxf5ekhJkMheQWQLIVItvbeLz6Jvt88YvkK2S6jtrYQpm0Kt3KRmW7slLSXyHfJsh3HeRbljE\/RxOPaRLrsFZ6tFEuLalpXdQyrnsNIpMGanQDj6ijXNljA2XZgHO04NtrMCPYNRoo2zrOAXHOOsqIyYvrLJcok0wdNbmKkuOyrYLkangkl\/gyHrEM51iWWsskuwR6zTSYy5Q\/mCSpdCuow\/wzdZySOX\/\/y+WrdLMtZdgC23wXZaTb6BYe0b1Gvi3tm2oe6TrcknrVgOPr0o7W4fgGeeiv1nEGrMPVm\/Jq\/P8buBasa\/ahRh78faq1VdRGXV\/Fszro5Qrq8KrU0WX4TEl6BSS6CFIW2rsEslxCSSn7rCTJ\/oRlvi2ttpItnwdfrr9NIlehez3Qq9YM\/b1TaVU68P9Xy7dN7naTaLBYhRvESjekhIUdXQdNXCefrWnPhfVeI\/ZHWOMmrPdrxGYL3Vey5f\/WQbY1kN2K1NNlTSe5jV4FyVWJ7JflcVWp5fxfvhYLHVZrqFppb2naLOR7i0i9ImX+6\/7WUR\/XS3rH5LdR6c6QLrt7d9CKbyK6UhIWyKpHZsq6ZqHZfz0pY7WKCqTFV0b2bpvId21Kk4UNWIeZ1pQ2ZQOtxIZcyRua7q6i1tbgPW6fheSERJeJjFdKklzRVtwq2uBVTebLgK\/Y+4sg5QVcSW9JGQuJll+V5VtB5LX0hfLdqmxXtuBxj8iyVdmqrFY2Kzvw2K5swnHblTuVLZA71092L7lcZ2twB860QWTM18o1QDbUTq+jJV0j1ppa5LUZerwG62wTMZgaBR\/XGuozx1k1iYrYsy3QX77eVhEv07W0KmUk5LeEUqzKOSCOV58tk+8vyVdLuNbyGcC19ZZEVNN\/C4iiKyUJ3\/pC+W6CfJnk7klZcLy7CJK9Aw8mWyprrtt8VmzB63ZJuhsadm5KxL0OUmmVNLqJMm9OWey1K\/R3Db8n5o5C7W04UxuuI2aPQFhMvs3Kv1bacLeFp7OiWdyqlCnTwFUi3yX4pCrlu4KfLms2WWEqdgaOsuh6u0Cw1M1R05fa6R5ImMuKeZ5qFb4LEr6DUt2GecCecT3ZAYl\/XblX2azcq3QAbc\/CWFS+\/Nxcs9YB867LNZQftz7Dd6J+0Lr0mNTM4GduI+JS7wmcVSeIuyat9SquqzXUXa7hQgNXpb\/LkVUNZb+GVncJ58AKvFYavKxhsWXEVYuAnxek73NLrsU318uFL5RvF\/WXrZjctimUxbSTae9dkPEWSpkd1wHfeAekexdW4S1chTug22Vd3kDNbUk0tI6SFviOH9dAb7asucoWr8vvtlDn1xHrUSuwjnzKBq7TlMMQvuuK9F2rcvVdkhJqoCQ5smJraKOyhBitKtfXpUodjloha+8Kse+rsOou4b9CvguS5bi5fG99sXw3AQs1ERG1QRPbIOke2Oe7lbuoxfzRA33vgfTvVdoSYwmJKrzFrbbQ4w20zzraaqLO9SodjeEq+8p8NrRQj4VlWNP0ek16xA3kLupSrnVkrNbAHjelTW7C+3Q1rYJUdWu7Iu02mxvCGgsPdwn9Je5b1TXLzHkKwVjcvla+06vu7S+Wq8JXTL5tYCNbuG5xPW6DBjPJLoEk78AazR7blbsgV\/bpJvhIHThHp+QrbaF0m1Mouil5Mi6XnsTULcRf0w\/63Q2wEkrSbeBFlM\/VxDW3AZJtaqh8lSCqGnCMgpFcnoGbFa4W8ufrdYN4P0uI25TvXENNXgLdXZB6W5bvbWKjZ2GqW79CcwW+6oHF3QQZd4l9boIM71SqIONe5T7irB6szZyZ7MH3xGMbpa68pJbGPNBVmPIdbZRfB9B1CzV6XZNsEz04up4ri1\/2dhuEkayjjjJJtxA5C4kyi7E65dFy\/V3BZ0LW3NtZluhY6XAVz7+CtnsFvJkl5DmWpWUW7Ma0fGetxb9ed9nf3cr9yt3KFsYRWhKbCI6iB59tg3YzJLWDvu925avKV2CvuX3uovb2KjtTbHSbcEsdeRUh5TbRTbU6r0vLLfzxDYmS1UzZhHOLbzYIB6kYbMpZCZlxVplbfcpYCG2tSe9WaLFCyUtSylX0b5ktXqssglyr+N8C8X0XZSRB+LgLGuPxuVjrc\/7ug3ZuEm5vHTVE+Tidyn3Q7A3Qzvtg03cqbdBULv8OiSMxH7krrXQb0RX3qTsy1qD8GqrNND7VkJxFWyK+DnzSQ1m38OxUe+vwvTaJUeiMZAM0eEXjmqsl5mqZPKthnEBo6zJKeElGC0SkSEhfeFKKhVbSFGzFQil6RKV7+4ux8qy\/O4ChWlJz+f3jUmhX7oMHZFS+qnQqX4HPu4m4SWhsB6TdBS3uoZ3uEX+4jexwE77Zw7nTlHItM6Mtous0wtiU0u7IV2L+cftc12xyo4SZRXxIRQBXUMpV8ihLd0kyy7dRJ8XnXFsXKiuVhcoqrgAcUy0T34jLdhk9YLqyLoJW356S7W\/9dxfuVwuw0wauqlugAcxub1TuV\/6pch88XPZgMroLCIs\/uoCidsA7oitxGxFQB8\/ZnBlzWNPku44sVIvwLIIpaaIlWMe4ltBdjgypbRbsdY1g5xqJ7VIZCylfLV8RE1pCpCT+n6OqRmWh0qjcQt2+BRrLz81Q3KLmGd0m2nlb\/r++At\/+HezzPVhFt2Al3QC\/pwt3rwfouA3W++vKV6iX7MHx8w4wIkxrt5Hd6sGsUI8evNciWKuF2LyJOr0ODDOVI\/+sJ9fZlkTLCqttSImLh4oA0zhvA9FzXdNhKl1lpXU7vVpCWsuEv1hCrVZxxSrKcBnly2NHt0Hi\/P0FlN0tPHJJWmnFY1V+l9W3AvK7A94Pk2cXdY9ZXC75u7BC10Cyd0GudytfgVXfAVkxr6kHq+4mrI5Ug4XUNoh0N4n\/1ATJCflyn7uDGL4l44\/cIm8AkuXf6yIG3EBWY51gKj1boFaKLJS1tyG1WsmY+kli\/V2SyGoR+axVyVStIo5aAjRWg+9zXdeldhuj+ktgmYV\/e\/s38XKvk+994JQ3EY12YF3tVrpghzuVe5UayH0DNJa9d7\/yFfy7A+vsNh6\/CRi7LTn+zhURYfpeT362iZLi32wRfVby3YA1lkYeN9Bi0yiingPAmTHBcLCVco3ocK0kb+W7Cr6iTiL2Cj+xdVbMlSoi5kUZU1CYSlle4fkukqjvr+eWb8ZvMA3uwD3swB1vYbyB85I9fOxU7gNqvgf2+mt4vQ13uAdr7w7Il7OTSspc28RKLHgTgbx6oKFKx9vEa+7IVbZV4rI3ZI7BOtFf3UI38B3Oagj0zCS4DjKuy\/VZ+cI1qdWCp1gBaSt\/d1HGCqvgV7FVnnvFVcJMVvFYsWIvYGbObeL1\/t5aS\/nJ+2CBGZa6B1x0W95TJuMllEYPkTY\/UmhqEz7ZQJZESLWN3tIGiR8Ku7wppdlEaSoWs4f2owXzpaPZgTau5U2YE03pHTdlTLmBcca6jDY00TqL+O8asIercOwqRg0oohYZOKuljCyRN8c1WjDPKktjGf2hZY3VvCVRd1Wi5dtTmXW3f2f5fgWrL1tZvwbdvAdrKdebuxhN2ADr3IFXmyjBTUDOPbz\/W6i9Sms3pmw1t6ycDWkQyTUJBhN+14ZE4HwmdAirJrKDygy1ysFqQp5AV\/rEwvflfm8TV2LdUnO0JfI0BMpakdx0VXq5gnekXpTwjrk23waNvS2j+rp0b5Mo8Gzc\/FvqtQFr6SZGdbvAVbUgqsstb1fGVTl3tYnS6IIf1cOIURsijN2Sh0Q5jpZ81sPjRDRDIOJ1tMttlH0LV+imluejcvbWUNprRHcFB811l7OdImu2jnHBGnow9ZJ81YpaRzu9LNdl4SkvY+yAR5YWZfx\/kfDTIldyQVrmRc0y3y75vQJF6\/kav9VfB6TK9aoDUu0QXrGHHk0POKw78PlG5WuQr3i\/B4zWHTxPG1fbjibnTUTDHaL9nA\/Z0LiNDXi\/i7i6jd5UOXeTRp9Upt503HiDxBkUK72KsV4l6xWJr1ekfV6R8eGqzKtTkYclKWVhjRfJM5q9THNcF0iM\/zbmO5c1ujIDf\/26+EIbNHYDsmF3IJrbljh3C7wfXac6YKk7OB94ZgBHYpzJauMqqmfutFFyXbTBFFO3JGup8n66MLd6JCJNcdW6jCE2pXRV\/GiN5ISIDMo1RNSCh66WWA8efxBx\/RWy\/tYk5loGvkr5xSp+yNZ8mlHH7fMSkat4\/7b8VGQ+K+tNcyYXfjP8LNbEDfBx7gKGEhk3d9FjbaFG7sgYfhe8py3kJwUD3YF8ASXhLcloCpTWg1W8U5JvS\/q8bfTSOHbuoIVWeXMiN7IpV1uV30HjC2sya0\/F92tSksoy1yW64jH\/BkFcy9Iur2jZd4phFla5DpJfKmntAnmm9JdzmErWiwRv0SzKxd\/IPt8BHoPr2RbwGV+BxFcAdbVljUIbpNkBq3wHtJXJuwtx\/h2wzx2pnV08tgMS6qLuClu9iblAmzB7WlPecRe+0Stly7ekfV6T8p2Vy1PX\/F9lvVc1vqOKeFnwUKuYNbsq7fQKyXlXzBbNtqJ4eVnG9Kdt8gJGIRaQ3ViUKExFmGisQeVB\/\/q\/HZCAsKvbgKPuwP2\/B1i6Q+L2PdTjDmjsffCXuqC\/m2BPOxhl4BxJB2fDFmLiDkpsEz2pDmqokm0X1vcuvkt5Dspbr2kZHi3pH+nZeXUtU7o29Z+oJqoSlrJWYrJUzYJiP5ZIvixddVWUeFGL6NM6IrE63wL2kiOxZeQ3F6bs8+JvosFcAlt4z7ugVTuSexBS4kxhD9kqznh0MILUBel2cCb0UI+7cGwXZ0gXMVdnqkaJa6vQ867M69mWfjLN1ZuuclGZdip3a63EbnCft42eUh1X17qU2jLG+RZlps0ySqwqEdcKwV7LyGFWSUblsoz7LmjWeVGiaRVbXEA\/alHq81IJXVd+Q\/zcBkm0ZNSHrcDcH+qi1e2g3DdB97oYhRAS3pazgEu+K+dJF2XHVk7lHyu01SE+1AaJO94Fy61n2rYkA9YkdQvTGTytUuS3Cf4u9355do6wwyulrPYqeDwLUjdVTHgRrfUiyXyuykoU9Xppau1d1GS8TGbAIujwspTzomSlf9s\/fkeXIb+OWmIepecyu4OSElLtYdSoizGkLmotnQvbKP+utNNt6ekqtnJDywLgc43jtQ1YNRQLLfjLNubktDCTWs\/jodVnXMLsaJEV2yL5V1VZKbhI4oTLGLNfBgspciwXMcduRVaQrWj5sKtSzou4ui5ghHeRaGlV2ndae7bwxZVFN9ffTsUASaxUOpVlYDd2IPrbgnjCDkQZNlG+mzKHchPlLLS6I2MTHbTk3D53JdPYwZkgZKpnxbdx5e1IHKdYEYWvm1J\/m5J9Vh7QBmbZCkaS81R14vvWCa\/RgPVXoK06spd1kCW76yuaHyNW6WVi1SmPtYIVvssY\/af2dwFX5xXJfy3CHPr9\/9idZFmiX1ValWWQyzZwGV9DfPAu5O5soh5zC30X8rW2K1\/ju9soD6Hj4pl6dKTs2xpe60ivSqB0rsEdiGfo2q3yN5qk5mGZ5GCKelCKrtZhxRR57SIe2MAVmCMtrlOr+B63w0sQOeD127eASa5gNvsK2vaa9JGUHVfYegHz6hakpq5K2VZ\/0\/yb+fGFFdBf7hVxGXwNuXNfgdYyqd5Ha70NlruNkcD7oMl3cUXuosXexO90AbN10VoL\/NRGPe0Q2W7AnFiCOH5X2vo2YaA3St7yusz8qGtVTCoHi2JlobcriK7WCHtVk\/6tiN3q9UZMzoqXqKKVXSI1LEsyY0\/p9KL0gcSjKmsm\/t5\/7F6uw4y+j5F6LjeWldOTMuqgHHuImnZAaneBp74DR3Gmi8t2C\/7bwm\/v4Hc28UziLFyntySf0UEPu60xX20Sb2rJmnIRGWxqXNY6aHQVqxC5vGuy04Oo+OUayPMml+D1Eual8xii8HNE5jrHRHyNrKFeLspcjWXJeqxKXVa5AIK55L0bblX+\/n9cY76GHKs7sPZtg7W8h9rYhk830SPqAAfSrXyFtUibBFl3UL4dXKcF3u7BbOhK6YrPdpDt6iIX3ZWRim4JfdHK0yZZd0W12ppktFagfwetEq6RmHBdVoU2iDUWlWKiAqlaqglclDkXXD5LWE20hKsx5bEo9q7Js3D89cf8Gejd3qvUZS1DGyM7O1i9somr6hbWIW0ik7mFHmtPSrIn7fMmkbDA3l1psXk8cRMZTOVbddCWt5HnaGu+cktylYrHapHoYAPk1pqq7K5JKW\/ILNkVEt9VUSQ2C6qobctED1m+xi3i9Ygs6EUtTqjXDy7J2oalv+uKW67v5tZ1u7IMfFQH2SPKQAlky+t\/eWbdDsqdZ28oCXP\/poZ1xdtS85tolSkXsoG1pV1kLxUT0paIWuVwdLWeHk3SYUNUJHKJtmX1L7XSNbkW1zEO3JDPalK63JJXCeZaljZ2AfikW5JvFHZ6RVYTKkS1iJLntvl25Y\/7+xoyZLmtvCPv8kYJ93Lt2gKJ9aQ13sa1dBO9JL7yMrmuY01hB9dfHsvlK3hPSrRHOJEuievT\/1pkBW6TKn1VX6r3bqkjsqb9AFT9fh3eWSMs5aqUrurqsUoiClUtAigis0xiK9Ibqso6lEWy7gqO6lblj\/zrAFt0F1dCvlZuSH+nDfGHTYmDd6QUe\/I\/XkG8g+8L+72JleA9GUPexnyPDokUC\/kKfkOwoUKqTVLhItjKtqxaU9Usa3I9FvU1iqMUuFrVMKxhz42alhu9jvpaBdajJvOvFMO8gHW4t5BBrmrxBeEbqSrQlT9w3VX5OffA7u6gdnUx1tDBdZIzUV3JD29inFesrR35nGfabqOW88rCbaxA62GsmPtYAkWJzMtNwk53SnlXs5FWS6s25TWH3I7zLjw05i846BXJcayW8qLrkrNc1fzimuyIJDT5FkZ+KpjVXkXWSq2\/IjNHrNp\/9F8XsNUd1KMNiZIUFuoCI72J\/s+2XFfvgK4LH0r18diSOryF+tvFZ1tkVe+UcFWXoKoWViYJb7dBKlpUDoCoOWvK6BHvAFAjXZgapNMVl62qbViRXdLqqN+rlZaM9gvOso7ImHew4nKuYJ7FssyKFRHBZYwD3UaeufIPIN+vUXNFXjuXww7y0VvIWW3i+rspV+BNfL2FM2JLyngHpM+zOrbRMnSJh6Xi\/6I6TWRkdUleT7uUG8u1dEP2YWtqFWnrsr5FZc22tN48uoekVmSRPyu6DzaQ2VyRdWg6llqSWVLLIGPFJ9\/CTAwRLfhHkO+mplXcPm9JT7WD8dq7EhlvEaluIj4WXu4dXIfvSU3ehChyV\/q3XWTARBSjK7Pt2jLa2CHcpfKKRL2DnsuzTurQWjJHXuXLrpWqRevArwtPqKZ156jJrkl1mZdVlfFh6gFV5d2rgj9Ms50r8PzX9bz5Lf+2JV\/cJvH5Dvqt\/PWWrNXflJq7jV7VNrLRW\/BsG5kLng3fQ9Td0fAazfLYJNhZRYnbkp9W1WZiHa7Lmu41WUG6BhycwtRrGqJel94SjyfVZcasYqZrgKtXta52NcksL2LUZ03rTLeMbMci4bdm97X6Y\/FzB3PoONb5GqsZuoSPFPq5A1aXekLbuNZuS6lvYo1\/F57rUUMVTWiX1mHFSKuVf11mADQho131alE+0jriMCFn0YdUvOY9DNchl7KLGlsj+XQ0+70moxI1mZel+q4sSZ+2hlG9xWtylkU92R\/\/t4WImfJOW8hZCES0jd7uNvo8m7Jr1l2JtrYhN\/6e9JGblX8CbqxLsJSSq9LQHvbjKdeztGSnstaMf1WFuLDZwvtt4f9vgEz5Kl2T+Vo91M26xFHKS6pLW007U4roruKSG4iTb83sclOVTObiP4R8ee7UNq67wv5yPNyVqKknkbFAVTv4yTZKewfihndB5nfR7n4NNreHUeAu2oMOaGNHVgsKj3ZTq3VoY651i9SXdbTKw7bWK0R4vE3SMVhwGctg15vQoYdzG+tEhxvYWYdHDoWO1zGWL7I8aJczEcOf1aVqWfZ4XvqH0GBey8tzX7ekd9tFf6aDvOSWtMNbZAXeQty8IxmNHZR8B\/Lzvqr0Jaqi0eCWXIU3MP+2Lb3fNqllaUhuo0s68VAtbpJ+Zzz225L9sVTupMjA4r10+Gq7jmvwGumetIp4awWxtsiEXtFYrEWM36+CPBdRX1VnDpWJVf2HsM8d1MmOzLXhtnpberBbGC3qaT7QNsHS25LvUPa5hZ3x2nL1VfLtyo53Ha13xwbE\/tqy36mqEd2QPm+b5N93pKdUJ70t10pddUSv71X0eVexf16ddIReLeXKCou9hF7SKsmJ48zFMthgnq1RAbZKZOCIXGiW8\/Hl3PNvg9CEJ9NBOfdQtj2sTbgHGnmH9ChUz7fRw1XRox4yWSJHZxOfKZ1VUUCRTamwVVdmWqnMu1YpAtxEtCV6s6xhl2hROdgiuXZrWr\/SKvF3VxAx12Teu+jJUZfyVBGIFezLzn2jOjDPK6Cdixgd5LaaZu2oDKs\/Wn+3CK7qySoz\/v4OeQgktSMZSPHJpvRkuySSr+L5beIDdWQflo7WE3RDavE6ycFrkTza1tReAZRx5nVG66QzD606ErHdVbTTKxIhN1CCDa0OideW1RBlcS+4KTurLMKnHEGrvI0K6aQjmOhFwod8nu7+VpWEm1gzKFAVR847uLfGHdlDdlsiLBEf5JUsQr6qDnwLmeYeift1NF6qS6S3IZHWRol31nsOU45qjUhX9LFsSEy1RrI6GmT9rZMao\/rMqu5VLeKgekXzqv4V2XljAbvi3EL5LmOHnUVZv8\/rf29J7\/iPkq7oT7gtI\/mbEjWJVXYHrbBYe4V8eTzhPons92QmpWJMFFPVxfoFUUna1LJe2yTLSq2tgnfuki48ospsQ+s22iC7MaxL\/kPvaMflWy110xE5HEp\/a6XVWFSXNWUNOJ8dPEoo9tioyGj\/dG7O7T8QP1MuWVSbcE0UmruDuHkbn4sYg8hV7qHGbiLLrCJRHaw8E51zuvLfDlaJii4cQspNzB7ZlBVpLYmdW1qNaFPWDHexDnRD4zTWpDcrds5Zlbs7rBLMXJO50OWKwlXsyLCEvYFXwfvl0l3EFXdJducQXY+WSN7sItYsLf1hntKmzN\/Ykoh5E1H1JlaAcRt8F2UrvN8eiTUpL7onV+Mecp+Ce27LHg6dkjfbIVVILZkJTTOem6R6oSP301iXuTkt9HDXcOcVJWeVY6digg0i36qsU1khlaFKa2mtoYj2c093FasAF7BydBF3KVIdVm7LWoblz2Q7bv2G+GqH8IpbhL24K3nHbS36J46h2VU6gu7JWBHneFtaxRnXa4WPNyXr2IKIzzqyyRukB5LqrtPS9FfgLXadDdRV1WO6QepSapqEV6XVpvumVEku1ip0fBb6vUpqv3ndFz\/TAnbXWJA6uiizdapYgbIkdzO69Yfo7x3SoWwLKxKEpt6VXb0VX9XTmKstmcPRKeXSdUi3b4Gh2Z3fBmaqTRBVW0aDBFfF2JYmdOlokX7AIj+nIyvLmnKl7mC\/Z713dGOqT6GqBV2TKKuq1QvWsAtwjdSP1iWqriJ65pl4XL48Jsh7LVRlfVkNqiAWpNfMvnvrD\/CPOHN8B2OAPP5zFyIJ2xJF3ZHc85aM2m8R2XYli60y1DdltUJXdtboyYxnvj43ZefBFuGt2qRTTkt23VF9gXnHaGHFVXZ7S\/YSXiN1DDWtN7+I79N8Dbrr0arkJVX1fo3MgopE1GInslXZuUzsdLJAdtdZJp7wH4G0tlGWW4R5FN34t5DP4P9\/X\/bo3yzF84VvJbiqnqwzKlej9Er76YjOAAI1N0o7s7RIXsY66Yq0rnm663LfOrpPQ0PuYNiQHUhryF7VZLYdle+KzIReIpl3qrfKouyz04DuwlXctWoJM64qGNtfmqoPXSBZs3\/fP7qDxpbkpbbJmqu4jW35fIvEgtuy2mwHpaeqE3pSjpRxZpj4a62rf5NksPNOIBukq1JT6\/i+VtpHo0HysNZL7za0PSTXpTavyZoG1SFHyHIZKwfFTnQ14iczFkNgs7XKbZhRC6Qiv4K5OUuyOnBJq\/Vd+gPWX4GhhC+0g17vttThbYz7qnzmnqzZVytwBznlLnZmEfLldfs7pKvGNqyeKpdjQ4sHihmgV3bzPkct5C9oHyx9DwCxN906sh6qE0d9Ks5bl5k4K6TnRpXkbqzKvTiWZF\/wusx4Xga7zHT9dqmrpKh3EN2BqzIS8Ufwkzzf4g6utTton3cwor8Da7PIfhUZdUKmPZm\/rDJqmth5oaNVHXSwP3dbavEmqfvdKNlt1WF8Te6SJ3RT1Buukx7D67Ij+Hqps0pDcpVq\/9gGyXdfIahZ1Znx\/ZEaEmEtYcyojn7xLS3j+bbs0b6EVlrECxdID9k\/hn\/mu6PcnbLRO6X\/76Gv3EaM1MMM2jsQT9iUnNUGVgS2tX6jeoR+Q9PdDsmp35S7t9B+ZlUp83VA0T2yR63Ik14nDJbqo6TWZeULr2v7Ta6UuthVceVdkxX\/qr6IZ1SuYCWh6n+lVt3bskeO2Od1Re7wevXf4u+Wi7eDlWXbmB+n1l26pxW33ZvoJXdk7s6mrD\/oyYhQS6IhVbm7gdwS18aWVtFLueYO6UGq9s5oySg\/34WjQXZZa5FcO+El83W2qfXLamg9d9awmr+usZFrxFarfX9rcl8knvu+CBxnXfZrWMKcDV4Nvijlq3bxXZpjl0WPnd\/j7w56Q9tyzb1LuGbKZ\/Rkfe8mMpKi605TZrb2MN7XJvzFhtazne\/Q3dK6tDdLcaKm7A2tKvWbMqakukTrXcDVrkg1+b2GxN1rMgeA8V1LxDvekB6u0ucaiQuJzkiqO1IVI0W8O6Wq0xf9NZakrBdlNuV8+VZ+J\/nexT0G72A+lULIIuOKstJi5e1q\/W7E7goqs1lVZ3dkLjOXWkPrFSqQcE9KeV3zidT+dSrmv0H66ei9scRjDVfatuzc0CC7WnZgxHVZ798kXYJXsEvDilYX2ABNFt0ka+BB1aRmc49X7bm9jHtc3bTH0XS23m\/Lbyh+iu85t01y6dq49gpOuSure7ckZtb7LvRkP60NWfm3QSo7m+jl6jtMluuJ1rS9oNW3N7R9lFRFMN+doUP6Eopu0Pp+8Osgrbrsgsaed0ju8yrZ71fp6qLc7Yaiqhrxe5bIbgvLqNc3ldqt3026jN\/4J5n5KmK6TKIGyndHRok6MmN5h3BVej66XnnYJkhKZNrQfcxqMpq3Apwjlfe6JucNrPBtygznBu6dpGqBOyjfNa0nYYM8470Z1jTZ1jXbXCMe8bK2K+wSqQpUO\/4uEHS1KOMMC7KmcLHyR\/\/x7s\/3kIXcAZZKrMU9yTZvyjzoTa2Gu0syYIVcBZdFeyK1Za6r6OXc1HYGp3tPNkheegsktkEsbIPwHGvSdjcky9Eiu200ZK\/RFuIrUQUuPOOa7MpRJzkANbS9tFvsspY\/uYTv10FXhWav4O4at2Vn4Jvo7u3f1SveAekyu\/wV+rqUd9ySEUMVO2hLW70pqwLbmEvbwYrfr0D7Vd9KsX\/dFunfTBmJFVwX9X0l12XVdoN0eN4gva703dcFWtY7yor9rmooZ1FNJnZ+Fn11arJvcAOkK3bgqGk7K9A8ykWU5yJ6S1XZgVD0wrrJ2vv7yvc+VgdyL6iPHYJVhuS2zIpVsXtV39mTWLonq0VFZ8ItRNRbcm\/gnoz8tVBj12SF4ApaXLUz3ZrsCqt6EbZl1npL7s\/dwE6iDdTU8l7fNRkjFJpelz0M17SahVVtJx3uGy1qezfT7jq3SeXZEvSYqiMPsgA5PEs3ws63f+c6NLGPxl3ZG5itv\/ckg7UtrXFP8hqqHniLdDdrgvzuYcWSYqA3Ica7CbrblLGh5tT+kWJX1zXskMOt5xoiJL1\/d1vjp9SuR2sEL9dlVWhNMhqNkj1Q2Xfc+60R1oOjrCWy59VSqZ5\/Uct6F\/KvyR7Cy3MzoG\/\/HeXLs6l20N9VqHobK8voSiziuT1ZddgB69rWao1EPJB\/8z7uBE3jQiLLVWEmHndtECaqIWXMWei6XFUpSq6RTgx0d6uGrNlXeKtObMKarAtekfl0qoew2OtK9S\/judPLchWmu7Evk71yqoi6b\/+h2lvBqhJRXcIrTL6SO3ZvkhyrHtb17pAcOlXh2cH+ZG2MIHXk3gybsup0G\/aD7sK5aT+rJqm5XydaqHYFrYFX0yK1KHo\/M7rzYJ3Ikb7b0HZSETOkjtnta7L3c53s+FzF+m7KdlTl\/oJ0T9HyQ+n2ddjq968Qvgv46o6MI9D+GdsyZtSVdlnUabdlv6tNrODvYHV1R7IgXaw\/2kQL0Mbu3pu43+wGdmNvavuJiozXptbDewNs9TrJ16Earmq1qbVWyLghI4RrpI\/KOtrtRmkfhhW5N+GqrE5Zkftzq5qkFdltUvV7r8pqJbGH+62\/Q5bVfP7qLnrAvIZom0SQthE\/9STC6pFM9S5irw6JEXalv9yBzg+bcieWNqng3pL8ZHvG3u1r2s5Ggg1ZIvmxQoO7yDfXtN0kKRpWtlo9q2srdU1W7KvYUU1isxXSw4zuSrlC9uFYlp3MeNS3KquEl79Qvrck433rV66\/gpvcmapJ2CZZOD3CUir93ZQ9NlSNvoo3iG6TW5I7bpOIr4gS3YerTHtO61pHb5GDQXdzVnuoNGS9SZ3U4NdKfRlUva\/Kil6TGKtGsnKUzBulyHCN6HaVyFfsXScytFYIv\/n58r2Na39Vsi1fap93MMZ3T+KsHZKvQ73hHuke2pHWelNjN1QX4LZkLfnOol3IU25JrlJFF3hebXNqJ\/f1knS5VBclp7FGeI81LdOiRvps1Eq9kOgOwWpflTrZdbIm8y1r2j6DVawaVV2gl0lv4CX53hJB3EvXSPjWNfHCVZn7VZPXWPoi\/b1HsNV9rEQR2FkxGSJPdkv2HN0kfWF7pLdRR0aRutImU55aZco1MQe2g5JvksrOluxjpbrFrpG9BWkOO82kaxCMVNbcOqniXi\/5XZSjpHur1GWNWRXzJVfkjkgrMo+uSiS9LDnNFfSQV2Za2av3H1yQ0hWZ2qrH9OcisnsauqL2WdT19qQE2zLa0JVIS2mu6qGhMHVH1oGK\/Z6FDe6BzLqg2bP1tjnVl048WyNZkQ1NwnXZzUp5vTWt13eDeEd1zV+mXdBqBJPXZa8zuvtVWb5VuStSVftPdUhbKXXDun2lZV6UFmBV9vZR16h+pnzvyEoxwTvf1fqD6qyz6kEn+lZtAB\/Rndq\/bENKl6656xJTqf4KTVJv0tR2plIxhrpcewUCXix1ARZWui59nrrESGuyd12jtAMHrSZtEA+a7h+s9uKoadk8q9qu0OJZTfpSqxqvySsSb0kdvW71XQItKe8uvoLyXflM\/HwP7LLAyvdBhpS32sI9blQlKbfKPFqg4r08oqOyW9tTe2S0ZP\/1piZrlfFa1l6FpBokxiAypxYwyq7vhFMlHY\/q2qOhsVd1jAHTvb5rkp1uSOnSKsMVDVlR+Yo1mK+YVaJvi5rtvgknvQ4e5ArZj1bNoZVrMfm0fO9XDOQ1tkiNgvBSuwQTb+J+wLQapaNFkLj\/s4Y5GhukW\/sGybfYKnVMUbJsSZaySWKFjRKnrNcm8PspcLBCwfWZ2Eq35HWirw3SoaFO5gfNjxV7YtEdRavaTqJVtOeqlyVlM0Se1a1rcJXgtSp4jTqRrsoC\/Jz85zuy+oR25e6h59OR\/cy2SLVCR0q4q1V3q2z1Fqn47ZDdqu5pXVGapNucQFGtEnpukL42DRKdV2xVFRioNZQErc2e1QGprnVm0F\/ViM1fJVEHvWJUaHKN9FASusWPXZBaV5F7zi3MRc5LWtywptXUiN0\/VuH3fm7+xpbWvWzr\/6\/sS5cbx3Ym6VUSKe4iRe2Ld1d33\/vNFjER82ve\/6EmCCTy4FCuvj2lqCpZlmVbIHCwZCYcG7gnc3TteNyBKRjv1aipSpaDWRb43QWYgGu3K0f319QOk2HZVjzz1YjbTrYOml6zcgsW0L1QKxescEJ+tYjsm0XK7kue33E+nZEhPncoy0XEHH5mL9OyrgR4rBl7WiGD\/rvM2a6OBNxSu15nrgaY\/X\/Y1\/i9mwhRV8Jjg91912LldJx7Z2lTJ2sc5moFVLLh8AJfocRGZvXb9gcP9lH65zM0d91q1QdNnV2mETq7qZSmXevUaVDGe7JCf8tvjzXm\/3OUY422UH1Kz0z8J38eocyUgLmm32\/A69h+rhn5x\/8kPm\/IEDX+mKJQW\/KC1zyZO6oiraj7u4q0N1p3C\/0qY21XqH89ctkyqzzqQweFhcx1mUKdm1JL0BRCPdtvAYZfyI7s\/zLSBJ6etiX70JZ7ez3KwPhPRS965rpLC+6sVFTA+MdbPFjw73pWFvHvoLik37OjKvWS6gEP\/9i+w4TfO8gkPqemmc+5Al5nHTEXgj\/b7NCqo4oaRjVUBpeSfYWKqIDHllQdvNXT8JlVBtxFSk9bgov5LNd+jtw6Z8fSM\/JDdyt0ojNurwn9qdRtZMhudBuCesdM9OxmsHiGd3+G\/Gj+Gx20n\/4Y28lqY9MCeEbGaPFqhjPin5+\/xugOfchcbBw0GMI0+Ojq4N5pqATLdje7rRpG7BVQ6jm0bjQLM9Z92Fu1dLzAJRRhDc2RgW+Sgamp7\/Od496rj+Vg+C5u1BduOxh+g\/ci2vAdqui50w1euAlTymnEUiyboXPxn1A38ZbLBSqoDP2rR8T3oKIXqwzM\/iGqx2tyh7xpcJmVz7t6l1kFtE7rdpFNVWJ\/4iaohlnucDrpJGMunMpgFqmxm\/+G6naGXOoOtcki0sHxvM+wm33hZgjmu0t43mKi0aCeOZ\/w0AJaes7tk8mNKtnj33irqhV7tRfjt8zBLX7CT50zpzNEWPqPd2VtsIPOa2+sHFNloN7ZAE3KfaRlFuuVtc5\/+8h\/G3afzcbWWWiJe1SsecbdKB7BnEkkLMBNCNP7lFbRudzih2t9LqiZzO3CmU8miUE56da+s8k8cOG8d\/xs9TfvtEc230fWncvvMeP2M40Ld+SCP5G\/6Gcmmdvr9M96JYHNPVCBo3c+7WdJXcTY95h32+vdUvEqzrRap9jdQH9QT2WzWcidC+wweZbZ7hK66coZyKI6eOkUMjQC31OPewYlSWMi+K7i4iZfyqIexoI8szmyYT33Qtacuv0rsSfdQXUjgfq3PnLHmvcRrIZcvuszWeMpTplHzicCYiBjJF9EuO1\/ogawhg7DxrEWBqApB3wuKOsEncmNy69WxOXUEeJ95brQK7f3RJkmDdUiUzIYKjfdX0pmETqTmXCpM9eNXLL2D\/PYgEdPkW3OuJs1KP56Rnc+8XjLnyvYWP8uIw2Wuat+n5ETqV8G70smVeozN2TZttgl7KuvoPvYH6KZ49gZmOHnifs6KfD1\/5nf3UnPOXBUtm72qyqEPTfjdPTh3qkS+k1YYQZcRZqiYUus7kKyjtZY+WaTPQoarxtOB8OE55G96MzNiXxWFdQgdVr77N6vObuXM2bLVsHOXU\/KPpPCg2IFlswpZhkS687Z1zBZceVj2gxPwN49cSZikXZGrazAL7d5QrBvwag1\/0dncI88eYM5\/8ZpsXvdhp4279ymnHbCRjFWWQf7NlEEr13k1ky6ofa6cfwaWLIWu8cMolwUiXIqG2mO9ORY9jn8JpX3NAVCZg5fGN+nbfLv5L+Sz+SLWKpS3tel\/B8UVszy+goZ3u+SZ3dG3M7M9fvviOO4Yxf5Dq+lioWPvDKsr6r53SO0lQKGT0+eBj3PnNlV6MrpLOU\/43MM6bzl7HcLHVivG9tH6lYdFXNsI3Pjcqm1WM7OZ5sy1Jwjhl7miowxr5aivY\/lBPecyQm7BJ9ea4TgKQ9Esy3keXN36imaSWNaLTPvV0TbBWa6BfIdfW8L2iDF99CPclYnC04LZy6HCj4Xvvez23SXcPoR+qUzXEemjaZ8Rb2OMk4s8snJv3C4g\/\/E\/7VbYCFtBMu6jbiFfl\/Z2vlxUKdbQVcynLqeJ1oBP9sS16OqR22kveDZCymQrCEyZeQQzKlHlThlqhm0qRbwTuV6qVLVHaJeDuyHZ4GmRGWYRuycVrnHq6oC5Zx+u6Bq8O8qIatxZvIzPEPvcM7KN4O+WsqtzwvmgqmrDSz6zF1lHqq\/9G8tvGMk9lqxpm7WR8o5oZs1nTXEWxa0sxm2K9hmFutUtm6zgk2VWscBtxo4c1yxDHlQ6D1pRfMsc\/6Uu7k9uyTglhS7pDrANTjIC2ffOZUXdD5jCvsz5D\/PzIQs35pB4f3hb1DMD27LrG0ADpmA4bzCxNFO4SfZYTwjUmCGimgR9c8sxi+gNf77+f4O6gxb7MzYYtK\/cYo6a9fv2Dgl8HWURXuWf+umiR18d+0236ygT1b9MCUcrbkiS9sUF\/LJ5CCTra3PZN3nrp+4cBh12+SsM9gVWExz5MSP6B4\/\/Di303PxkbO\/uYvrqk939xvbPjsklp0Bqik8iybUIR9foqt551gxCzefDrlk6JwWfOTv8LEbh40dPz5yY8ZWPHzNE7h36t\/ehw1TOe52b8AlXBPtbEgen4WFbkeFijhWzAjY1xh3E7AWc1EmshnakhyEjLsTZkC4PYq\/aVewSnaIq\/dggz3CSvfSGTSf8\/PYe3l8ToSkxtdH6hLeznRz4Ntn4n1m47lYeObmWEtoiYcrUX9K2wM+Z6UQtsmnbjZiuxXT33Q7trDilii7LR7T25F6WHo+h12DG6cq3BFZ2bt9gh1ZSp1T4N+QudI6RX7TFi0jRLO3sFeTXKJ2SaJJQOY6zFYTG9\/rwdnqISmTe8G\/3Dt+5r3ERf2OKTtWd6wyjdNtNdHfzenvxFdnVOmYE89xRyRWxg1b1t9Oqfr\/BI7pM\/pbGacoC0Yvr2ptmN3f2Xc38eA1vHcv6jrBr\/dJLTF75U7inmieFfY+r+nTbbRNtnPKo6E+qh1HJaf2TtAxM6ZQ4zpXegaZllzOfCl1Gt2mCDp3ebJ67J3rNT1QdU4jaYE5VkZt5xl3aCSMt6ZWd\/8bRMaM6ncLsiFMs3IRacVnTt1Fvf0eeXTKXDxj32qBCmkR6cxbd2f5Q5TeOf9Vy2pHQ\/XODhJve9f3UO9eEbGz5macgfu8Gyj9h+htfe1VtK0sROoGCmiFO4W9VmgGfnDw3zv06GtUzJm8VgrMQI6K4plcgpR7QOfIj5\/J3XtElfwsUdzYT3O3EcXsZ5qDFr\/vf0SrPzsmkkfhPQFDHeshhjn2QiLKI7vPoTOzYD6WcfIS5p4zdyo\/39h3z4gcIvGAjGsv20UHRnHVX9lht8qGJ3HLnvVKdko22D060Lor2H\/l+tGN0xA2vM4gXSuPx6rQ17h3XqlRMwPzzLBAFWYTxgvUjOspwlt02Itjat33yHjMVwt5Fet0WPY6i\/SdE2TND5F19TZ3jFKLp08ua146zsmM3bLUMZ8Sp\/Qxi9Cxmk0tnbb1Mtp7W\/2A\/NlBVWVH\/ckd8uatbKgaq6STbHEPn9tILB5YCVvf0rAdmjnnklH11GkImv0Bp+W3aYxbSptIXaMg8qrAVt1HVjFhjqT6HKlcCcuIkTBHp2Qm13gpvaq54yLoLC6lnwe8VCoR5R6KdTN2tv1MyCaBd8y076D6vCAO68ll8TPHdXhkrrZw+ZPfFv0gGZr9RNYjNy6UTsp0609A6D\/yKovxsUdXAVs2rVpJB7BWDtBxMKb\/gI2iQS04dKh7sEQbsbjN6xtsiLMdg1rxhh2DTfKJ6Do+v0d\/o5TzKouwk3bN1szBGurVZU4jNpM+1NJN\/azv+IA81s64BaYxz5wnzsS+pjA445Yyq32CUmisnnFPRMGCKtLPRO08RkjaZ3qyR1jPEG\/u2CWbU\/F04bocPsew73bnbt6+O\/C2B\/lI\/bjFvkjDvx+gY3ggltbURW0bkjGTNqKUssFeO83OVtxWpr3lFHNqQx+qf5XQHSulun9C1arnTsm62Di\/lUNkGbehiea6pgwa3ht97B56ghYjNb7MIrZJjgzrEZjlB7d74e+4JXOHmAycUptJLaDcMpvMsYJ2ntVf94zOuZt++L543OnQTsvdjY23qHd3cqqqNffob3Tw32NyTM5yFu\/Y\/diIqqhudB8c82wj+Lyecbhjz6N1s8SV\/D4td97opGiB+cyCU8DC8QNLnss1kABLsogy5B1ZxEIKe0IXTh9nDusugMuYIUubkdP5JLXtA+3zAHTUtIPxO72FBfQe7OuN0fDsWExzXgWBiz53rJc7xzeeu3nVnAi+GAs2v7Gu3k7oOu+ZSR8kP96I12p0Hu2rHnwGi3SgfsPGoaQ3wvM1VG0tO1dWsmlyPdkB3FCHw3gMhaB05k75JLBAS7IKY85o7jB3iwnqdcmaI2y0WlD7xJhhi2iH5AwZtOnm2PxP+1cJex4zZEH30AP23a4ZzsncbXSYOy+bRb2O0I8JGA7TdZkBv5M56\/rJ9cIpwcyBuby9mYeqytng9Eb38GW17UnsfMLUwfgsG+TerfABe4cDGGRz4QqVbo\/+c6h97RRuoAKtKsBBSdSUJXNMh8uJIn8OjYaloDxSwckUjqsQeJ1+Y6S+34\/MbReR8vMC6Hg7H0NUzARb8ez6hgl2d8d\/wjma8qoJE2afx9tceekwoDN2rVSdVDV9Qv7sz+pFdO\/39lWPDSfsTv4dmFXv5MQ9QQVtL7H8Ap\/fuYy75TQxoGpX1HDvYdPAITXERkvEe87dr9WEw19GyvvlDTa6cBMVP\/Ofs8eQSSR+kOniA9\/dKV5nHlWs031Idzd87Vt9q8BiKeRrnqNa17\/yMzFFC8krUmRiGbP7pVMaDz6\/wPaHKdZ+Jj\/hT\/57EO89SSfjIH\/3YtPA+94izzqIP+8co3QL5X7rT+6l+jX+obG\/A\/aqJaa9gqLSUn4\/nbsFDcPC6auUkdJ3yZp46RR3Ms4T0xvlbmOlPDKXC\/4TsrBndIbmZKwtJjorj7Tts+tP+03eYc\/SUq6nSiK16bNYjuUz4oDyzLDDMo2ugtTxfp85l5ihI5ZGLJlU5lPT2xHn62jHC+53Ys\/x70V898gdOTsq6wxQNhwkOzYl8A0qphox2ZDRAcFTcm9V61S8S2478ptgq8iDS\/dIQfZu6dgr9m4F7aOUkW\/p2CcBFR2+ZgbF38zpqywYa2duk+8dOpp6\/wmVj3a6c8SPhdOinQFhZdfT3OXPC3rogmfGDN\/PMqecvZaZmxynPAHCJGUufb1pfNYYvEMEVh2dDvXwzk0cBschXbse8wq1cCcblFaSm3VyjWzgvwM3JmQuzwo6h1oTG+K9jpSdS6cHX0Tz4SUrpTWRTJZj1dScTIGR1nf8mRy8hbO2KV4VjJZzp\/GgOJp7sL5+0tDIqJOxjLAzgemyiLCZdmYuHV9sRvaEdTBmTjlvxq1Lxrzxved5tPV2+UN8PsmpekEX4yhx+MBulZ3CGyqAb2jzgXgAzZq36ETWUm8Zjkf7kjl70FNuQwu\/Lql7VrmtKKVDVgaOg00VcqeRYp0g06pUfJd2BTOXUWcRRyV1mh0xvyEH7zQjGmceTXxty6T1gpfA2+T4Ltkk513SQhnrOnt8RmZELlnCErobM6cOYR3NwLQJFVIGjPhSOjF2s07zWOFeJEveo0bSbHmHWK3ebdP\/eJYYkNNdtJkwRnisRG8j3jAa+MHGQgrbMkpn48KdyoXTJou5hCV9brRuCvsu0ctMgVlcOu62Z3sH7Y0ysv0CrLQM7+Ajsax3qIIfmZ2VvM4KbIQPWngLx5+JFboWbtqwQG889NuW9N2Qkfk56JyIpGepgjNMuvXPm3juaKcTsyudG+lN\/fuMWmkLP14jt+65s2FLplJQk+2JjQ9ouhX17gKPVHXvascILlxsrqP9sIXT5cjQoc7Y59Cp6DzS3GgkXtdSf2VOqbCIFA5njkdYQbGwc7gC20VpmNQ7sEkss8okRgT9LL0SU+JofK20YP\/O62nlTj\/vyVXrps9lX50R8Z4SnZ8Bi5fKKXLnTo\/X5DW5IEKfkDvvkXWdJWKPH6tn7ziF2DKT2hC1tXH7Y4NullXENdXrpuoOtve1Zn5Vg6NkUbqJ1P1tOly5aLyEbb2CmVXBK\/Y6Zu5KyKJJhP+qDN6e8kTPsK1Bvfn+h9lCJr3z2lVbKa\/CuUObzMFQTm+YxCX81xRWU9ZAhu5dcAJl2ZedwgWmZYYQ8CoAR+lKXeC7JzmFR8uqfV\/ksWvyLhn2nnMGnfqHDbI2A+5pX1MUHZBd1cymYm5a2OvsO1qlw0UHhmmJ3mSOCVlBVegMu3eW4CcuuemoQLwukkdwnqpI32y6W1T7JXm0ISl1M4ufMBt38NfcTWozzDwC32kOb\/QVXKwHkMKv55He6TzaYbtwc\/3xNVbw\/2eXIWTuZzuK\/S7JVU7bq1j5Ko+ek7M8Nj76Iva1+L1xp\/CO\/NGe1tbdzrYzq8Qm0RWUKP1uu5VD6PhoXUXz38blWI3TYSnAXzJkQCrz3Wayc7CSd+MJ2VgRsR8Wju2ROm81PJ\/X3cgcNzfuQ8cKHovoDMiBgAsTev1+JRE66SSjVwut5LvP3Fk7vzm\/c6crMIv6NZmz7xH2He15xMdn2vcgj6rPHmBhy6st+9pgarhhr6N3HawW3ecW\/HDPSzM2aelQWkGZsqPOXem2vuYRD62EYr9WTCfwTnPo\/dcSnZ8xgeomyh1+l1l6o8Zi73cNjf88yluCIkoKTeg0OhXsJ0pvOIDWiSmi72JevkTGpLuSn53H+tiQ4hVypxExZ7a1lN\/5Af2NY\/IuFtbz9ggf3UuVdABC58je1UEyrAtwd5ZVb8lGW9N7e2I5VJlj4\/SzghevyPxeUTmt4Q7gwmlVFjKZ0neyZS2sUbyR7FwRAQ17l5qPzSXap\/JvNlHQMk\/LJ5OJjF1hi7Xa7b79M5vs2skmKocBzR62HqZuZuSzYJ8dr9jfmrku24KsJdtiPI847KEOy3FlXHDOnuCxR\/HaEzxZ7WofaR\/kACyPIjy0Ij449SxDSQcdFkNND5NJcdAvtM0NLTDRdi4XzLAqauwUVPEPfekWO72X3MihcbaSd7GW\/meGbVdeN6uMlCsbp4uVSh5dI4szlcInNwl84r7wzOFJlkRhLyLNgCxi\/y0naOb5RGXAlGsDcz\/lFpAlde5zdsFi6y4c+13z5jdE46NY+CTnrlr8gM9oF3oPzx64k\/LAnTqBOaw5lU6IBnc+e8XwznEetHIa+Ejt6uKg8964ytjis\/p4L9ZdAbN4T03\/oFfWwm+tTxo43WWkMxn616XLuFL4i2cF3jltQ9u4E9TIvRZEHsUJ3+NOJ1xktU8NL51D6WkxQWxo7edtmt5Mw0yT5h62vUqVdMbpazXRGXbewa5bN0XagqO0c5sLjeEwyLbfNXcHW\/TeYHNH0OAJKqRh713jMHjxhixlrgUNloJZ9lTJ0D56Sjq320g3460k50y5NzZDdVPy\/Suo4a\/sVa2xRk3Uh4irXXELRObUQYLm\/yKKxj4LC3rGC5d\/ZRLHgr9mruMZXkt\/80VUi2VRDhfQIHfJJXlJrsk1+RfO4JPUSl\/Ju3ivVcU72Y4U\/DfsOdOp\/p722zg1tA2Ql\/Z3j8i+dVofpjcbELQ1+9O964g06IjEmyl1r6j2uGtMG8d\/v5Lv5CtpkGsoc1g7Fw18cYmuh7G8ZnJG23tTuI3fOTZRj99fs+cndqIfhH2fO7TBMtLq8rukS7fvRfPnBerkYJcqwlLmwC0t+MyMOXqsB+Tzah+J7pM3se+LMGL1LB6t+iH2PcHGvoO1Zy96E7EN+yh7WoG1tgMGYIfp4pFqAIF32MBCvcu5TNejw\/S4oWp4y+2xvm+ZA\/esHv2\/k\/+b\/K\/kT9fZypzyu+oYLhEntI6ZYUNeUF7K3H7KpaiP6yl+h43cT9jffSeROqjc3uqZ+i1d2U1lvZjUwUH1MCC3Qi\/DlAsMn1NyHpayJ+eZHGnyJn57xk3j8wkfXVAPnzj9tw7HAdnzxvWtNo4r3Dlsx85hfzZEwq\/Rx1xhj07vFD7CZ1tqXap9B3RKWvS0GuIwrTPdJ2Xylvw3iUIFEJkFzr0yYro07mScS4ZssTmnlknNHlclv9dMkNd3xMnqvt+UlswihcvM5XtllLNb7ZpGewFsz5cpbTy5s9dUbfPojM8ij82i3ol+1UfyklykS\/kuWfQRaLozzt8Ds6598o7O5Z677AJmY8tp4gbz\/S3RejviAsIe6d7poRmnuMfeh4ExwM8nuglyupK9WRWwH7ngZHW\/t1bRoyfU0C3OuaHQpk1aLdm8oeZ1721TuNNyfFVl9CrP5w78h2eiDSqXGy+d9nhcO+XunE9dllRyw1qGzH2JZy6ic7t0iNFYeTF1apkp9VrG6Pwm9v2WbuQRvasjehyjv36IdY5Aup\/FUhq1x+n\/ljnUhp3pNXguW04azco2rzJN+I77kaZqW\/roABZTzzmFsolrZtY9tSwtWuvp7ZWESyIww87JJRDTy0hRNN7OsGSHNIcuzh02QhpfZQn2RMjvljd7trJoF5PfZ2lZc8ndmuFMDT\/TkiqdJa4irw8V\/w0KHYrneJHc+SV5kUnSQax6QUVsHazQ5TiKPQ0RsHXz4XAih9x5S8bLnhs8BlTAXaQLbz1N02Xq3b7DNby648bwjtylwA+vI0XSlUyiM6rD5xO18LAVL+xQKW5q1Aq6X2P2lmD6FrbK3UsG1GLPeDmxr9+JuXRncTnZ9DF3+G7rp1YuM14C12L9uJK29dqbHjmaonu2lCzwBbdXnL+WNR\/Fyhd8\/CIfHZhhhZ2yhvPYI\/ba+bl1vKbxqgm80y21lfx+rN7xDlfR56dqxA06YpXjF\/p90bWon++IvQwdEbs\/bpGwR5aTjMgr94\/\/mtbMPfSN7sjKL6Ca2WCSmDuuY8ip8omKqXnxwtU1S6jYr2RS4rlkGbafrqCDUJNdFu+bsJrdK11X4r+v8N4zvPVNcqozulhn2ntPDI+q+e\/Qgd6i97yFGpr2M+wKsL7mFlnZnpqWA3Mpq4bX5KOtJmq04fztuZ\/Suh3mySW8w7jkGqsXgttdRqhLjdg2jba8a6o\/XCC3avBzevXmez4vFdvqz9M4pnLuNBXzaAppHZOFy4pVqVHVV2tnWa3jO55NhcMLZ5PNfJlT+lN7dzIPsfr3AptqfLZu5UH8WP15jxlh6HaYF+\/Zw9hyC6k++4r4vgNKc4f8OWyetRpae9ad06btia9do5+9htqOdT1a6qRZjtWB5bQSdkwlEbTkxMm\/843kAmGPcOYwM0u59k0pT2NHTq2pO3DdtEOpexE38j1zt5843k4cbwIIvenC6WraXqiwCUQjU8d+QQ1Ozq36\/LQHpxZ+kPP3NTmhe2URWf\/fSF5ls+A9MJYnIHK2mAJvecJuOGPYYsqkyMudfLSN7Ltx2nhBwXbgdLiPdEoNxdeLTWrySbUz3bv5v0ZpnUPWYqEVo3YNhQDtWaxlqhU2wOdu9rCU7x7y3ZwY11SQ5\/fobCiaouL56Hex3NrXstycfavAeFxGvldiE7VOq1fYvqu92ljj3Hfbl04LQF9P8Rsv4sNaEdm9g\/Qsr8REX10FvE\/eJruS9qx+jXm4Q0Q\/49Uspu\/d80y3ZeNmT2GC3LLH0bpe1wqaDy0mRhXmjzXtXkP9Q\/cNr8XzCpySBXYLL2UWVdEqOkGuHCs1qERUeGwO9LMxUu7BcqmI4yzJk4rzrHhXROom9Dk3dWWuu5i53KxAT862vhUTRbAppzLgRW0++Ir8SrsZal9D57yiu\/GWHJILYvORk4YdWUtbbqLsJC5uiNBTVObVYXC3UV49SDxfO6XaFVRqV8ifbPd7E2khqm\/r99uhhmpQOWm\/dIeYXon1C248W8GKetUUUSxdwubhHazwXdeSjSpHVNn1d4KHTfGsPNqkl9\/s7siivqNmPynxVLGqRMo6p+CUrIps6+1bRV10ww0UiDN3kk+9SHwOJ\/GbWP2E7vPR8VfUM6+smLaRPtqa+fQWMfoCvI958N5ZeCuTp3WkIN+7OYMh4DsqSw\/cjacxa4Pd4Fpz1ai6dw5roOd747iHJfxVa+ZwHnfIuuxRexe3cu2MsfxJJjq6mf0Z72yFr\/HKbEVUAwc0pV1hS\/TO5zf8mNSh+XKnaZ7fRPw82sQWTy8y4Wo80r6v0uH4QI51ERu\/SHy2vMpwlBfpYSmSp0cmPRAra4qzO26728mr7JGBX9DfitVcBnaxB6dY2lPhX9WVBiIAlIu4hY6ibooeraqqpRvy47Zi\/w5YH62gdGJRSU5aRso8GolbZuT+HTYEkZ67j4Kwy9gttD0DLTuhxQ8Wtolthr75TyrF8f5Ls2MV7SjIJ6+s9XXL7\/MszPQZ9NnuJL96E\/99YQ59lVr4JHY8sb9xkJi7Zsdj5fpSO1bDWzdL0EmToqgte7bc2iMuDVu7dj3p3k0OTY9l63Y8rIUV00ol2\/Gk7hkJtvL8NZRgGsQAQ9q25JsG2xaSfY\/PLrDxNJeT3LR7GnmHZ2AqpdCmrbiV2tvXv3YR9a2W0LrOpTs6tWw62UidM+Iso1MkRAVFE2g34Elm34\/oW6leyQNs+wnrnqQX\/Sn3P5BJX8X3XgRjtxcfDnPCrfjTHhvdg+fuhSmsfMSzPOvgtuD5fcOm2jNQ96HnZClgdzqcrAORHzZfOoH9tGInTDvYBfJxta9umA7eWbr33864mpOsnD5jPZQa\/SVVpnoCxz5D1dqCbxUYcUWkeetP30p6GxbNl2C1Tn035GyBhePR2jkw7+PVMSqKpZJZP4h+cs7N8CNT8or8Sk\/eV5n2a070TpydZdF72a9x5MdbVD1bl0cb2s6mxQfUVwdOGCz72rgovY1UTLtov3DnWA97bgkwnx1Qg73Ifd1OaxrHW3i42fcOmnm1y5sN3VUlW1TWHTnnjctsKkG7PQG5ofsWUqKxVS8iqCx6Hw65z1J+ioI1eYm5xk\/29dVP6J4WwADn0LqYi\/fq9FoZG4r+1dnlPf33Vex8gWVfkFXr1HeDPOnMfGvPnpTVPdbNGtjb2ssMwvABej0EVO2JsyTbaLmmBoBntIQd0gfyxDv2Km3aNCSZdDMa9EBabh7XyNDI6zYyyeuhp1Qgyypg50r8vJSaSmNGRTZjIZ2QTM61HOrrBdSWcswmW3ReipvNiaWrXIpoS3kdzYDiszfjNCRw2XOwnUt2RCr04ytcK5pnzLEBa+zCvCTvYt0LPFiz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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-nrlnxd0u.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><\/defs><\/svg><div class=\"nx-ra-bar\"><div class=\"nx-ra-bar-in\"><nav class=\"nx-ra-crumb\" aria-label=\"Breadcrumb\"><ol><li><a href=\"https:\/\/risksacademy.com\/\">Risk Academy<\/a><\/li><li><a href=\"https:\/\/risksacademy.com\/finance-economics\/\">Faculty of Finance and Economics<\/a><\/li><li><a href=\"https:\/\/risksacademy.com\/finance-economics\/departments\/\">Departments of the Faculty of Finance and Economics<\/a><\/li><li><a href=\"https:\/\/risksacademy.com\/finance-economics\/departments\/insurance-actuarial\/\">Department of Insurance and Actuarial Science<\/a><\/li><li aria-current=\"page\"><span>Actuarial science<\/span><\/li><\/ol><\/nav><div class=\"nx-theme-toggle\" role=\"group\" aria-label=\"Appearance of this page\" hidden><button type=\"button\" data-mode=\"light\" aria-pressed=\"false\">Light<\/button><button type=\"button\" data-mode=\"dark\" aria-pressed=\"false\">Dark<\/button><button type=\"button\" data-mode=\"auto\" aria-pressed=\"true\">System<\/button><\/div><\/div><\/div><section class=\"nx-scene nx-ra-scene\" data-scene=\"academy\" aria-labelledby=\"nx-sc-title\" data-av-hero=\"exceed\"><div class=\"nx-scene-stage nx-ra-stage\"><div class=\"nx-av\" data-av=\"exceed\" data-av-tone=\"finance\" data-av-od=\"nENm7tCYcRkXxmpZgNUlKS332O+9kVZ3yMb8rB3Sq8E=\" data-av-o=\"{&quot;seed&quot;:503}\" aria-hidden=\"true\"><svg class=\"nx-av-poster\" viewBox=\"0 0 800 500\" 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class=\"nx-av-ui\"><p class=\"nx-av-cap\">Illustrative: the exceedance probability of a hazard as a sheet, return-period isolines and simulated events<\/p><button type=\"button\" class=\"nx-av-pause\" data-av-act=\"pause\" aria-pressed=\"false\" aria-label=\"Pause the background animation\" disabled><svg width=\"12\" height=\"12\" viewBox=\"0 0 10 10\" aria-hidden=\"true\"><path fill=\"currentColor\" d=\"M2 1h2v8H2zM6 1h2v8H6z\"\/><\/svg><\/button><\/div><\/div><div class=\"nx-scene-intro\"><p class=\"nx-eyebrow\">Risk Academy, led by the Nexus Consortium \u00b7 Finance and Economics<\/p><span class=\"nx-scene-rule\" aria-hidden=\"true\"><\/span><h1 id=\"nx-sc-title\" class=\"nx-scene-title\">Actuarial science<\/h1><p class=\"nx-scene-lede\">Actuarial science covers the quantitative methods of insurance and pensions: loss distributions, extreme value methods, dependence, credibility with sparse data, mortality and longevity, capital models and pricing under a changing climate, with validation of the models used.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"#nx-sec-scene\">Play the chain <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"#nx-sec-courses\">See the courses<\/a><\/div><p class=\"nx-ra-more\"><a class=\"nx-link\" href=\"#nx-sec-maps\">Map actuarial science on a real place<\/a><\/p><\/div><\/section><nav class=\"nx-index-strip nx-ra-jump\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-stage\"><span>01<\/span>Model<\/a><a href=\"#nx-sec-scope\"><span>02<\/span>Scope<\/a><a href=\"#nx-sec-chapter\"><span>03<\/span>The discipline<\/a><a href=\"#nx-sec-measures\"><span>04<\/span>Measures<\/a><a href=\"#nx-sec-methods\"><span>05<\/span>Methods<\/a><a href=\"#nx-sec-debates\"><span>06<\/span>Debates<\/a><a href=\"#nx-sec-bodies\"><span>07<\/span>Bodies and data<\/a><a href=\"#nx-sec-instrument\"><span>08<\/span>Simulator<\/a><a href=\"#nx-sec-maps\"><span>09<\/span>Maps<\/a><a href=\"#nx-sec-standards\"><span>10<\/span>Nexus Standards<\/a><a href=\"#nx-sec-research\"><span>11<\/span>Research hub<\/a><a href=\"#nx-sec-hub\"><span>12<\/span>Hub<\/a><a href=\"#nx-sec-frontier\"><span>13<\/span>What is changing now<\/a><a href=\"#nx-sec-courses\"><span>14<\/span>Courses<\/a><a href=\"#nx-sec-also\"><span>15<\/span>Also taught here<\/a><a href=\"#nx-sec-labs\"><span>16<\/span>Labs<\/a><a href=\"#nx-sec-technology\"><span>17<\/span>Technology in this area<\/a><a href=\"#nx-sec-ladder\"><span>18<\/span>Achievements<\/a><a href=\"#nx-sec-pathways\"><span>19<\/span>Pathways<\/a><a href=\"#nx-sec-practice\"><span>20<\/span>Where this is practised<\/a><a href=\"#nx-sec-foundry\"><span>21<\/span>Practised in<\/a><a href=\"#nx-sec-ecosystem\"><span>22<\/span>Across the ecosystem<\/a><a href=\"#nx-sec-across\"><span>23<\/span>Consortium<\/a><a href=\"#nx-sec-references\"><span>24<\/span>References<\/a><\/div><\/nav><section id=\"nx-sec-stage\" class=\"nx-section nx-as\" data-as=\"wide\" data-ra-wide=\"true\" data-hue=\"finance\" aria-labelledby=\"nx-sec-stage-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Model<\/span><\/div><h2 id=\"nx-sec-stage-h\" class=\"nx-section-title\">The model, step by step<\/h2><\/div><div class=\"nx-section-body nx-as-body\"><section class=\"nx-sc\" data-ra-scene=\"actuarial-science\" 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id=\"nx-sec-scene\" data-sc-band=\"true\" aria-label=\"The model: From a claims history to a premium: how much weight a policyholder's own record deserves\"><div class=\"nx-sc-stage\" data-sc-stage=\"true\"><svg class=\"nx-sc-svg\" viewBox=\"0 0 964 684\" role=\"img\" aria-label=\"From a claims history to a premium: how much weight a policyholder's own record deserves: the model, the standards it teaches and relies on, and neighbouring disciplines\" preserveAspectRatio=\"xMidYMid meet\" 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class=\"nx-sc-intro nx-sc-bh\"><p class=\"nx-sc-eb\">The model<\/p><p class=\"nx-sc-bt\">From a claims history to a premium: how much weight a policyholder's own record deserves<\/p><p class=\"nx-sc-key\" aria-label=\"Key\"><span><i class=\"nx-sc-g\" data-k=\"data\"><\/i>Data<\/span><span><i class=\"nx-sc-g\" data-k=\"model\"><\/i>Model<\/span><span><i class=\"nx-sc-g\" data-k=\"gate\"><\/i>Gate<\/span><span><i class=\"nx-sc-g\" data-k=\"decide\"><\/i>Decision<\/span><span><i class=\"nx-sc-g\" data-k=\"std\"><\/i>Standard it teaches<\/span><span><i class=\"nx-sc-g\" data-k=\"dep\"><\/i>Standard it relies on<\/span><span><i class=\"nx-sc-g\" data-k=\"disc\"><\/i>Neighbouring discipline<\/span><\/p><\/div><div class=\"nx-sc-player\" role=\"group\" aria-label=\"Step through the chain\"><button type=\"button\" class=\"nx-sc-ib\" data-sc-act=\"prev\" aria-label=\"Previous step\" disabled><svg width=\"14\" height=\"14\" viewBox=\"0 0 14 14\" aria-hidden=\"true\"><path fill=\"currentColor\" d=\"M3 2h1.6v10H3zM12 2v10L5.5 7z\"\/><\/svg><\/button><button type=\"button\" class=\"nx-sc-ib\" data-sc-act=\"play\" aria-label=\"Play\" disabled><svg width=\"14\" height=\"14\" viewBox=\"0 0 14 14\" aria-hidden=\"true\"><path fill=\"currentColor\" d=\"M3 1.5v11L12 7z\"\/><\/svg><\/button><button type=\"button\" class=\"nx-sc-ib\" data-sc-act=\"next\" aria-label=\"Next step\" disabled><svg width=\"14\" height=\"14\" viewBox=\"0 0 14 14\" aria-hidden=\"true\"><path fill=\"currentColor\" d=\"M9.4 2H11v10H9.4zM2 2v10l6.5-5z\"\/><\/svg><\/button><span class=\"nx-sc-ticks\" aria-hidden=\"true\"><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><\/span><span class=\"nx-sc-pl\" data-sc-pl=\"true\">6 steps<\/span><\/div><aside class=\"nx-sc-insp\" aria-label=\"Inspector\"><div class=\"nx-sc-tabs\" role=\"group\" aria-label=\"Inspector views\"><button type=\"button\" data-sc-tab=\"model\" aria-pressed=\"true\" disabled>Model<\/button><button type=\"button\" data-sc-tab=\"step\" aria-pressed=\"false\" disabled>Step<\/button><button type=\"button\" data-sc-tab=\"std\" aria-pressed=\"false\" disabled>Standards<\/button><\/div><div class=\"nx-sc-pane\" data-sc-pane=\"model\"><div class=\"nx-sc-is\"><p class=\"nx-sc-eb\">Credibility premium (pure, per year)<\/p><p class=\"nx-sc-big\" data-sc-out=\"prem\">933<\/p><div class=\"nx-sc-curve\" data-sc-curve=\"true\" aria-label=\"Claims cost per policy per year against Years of own claims observed\"><\/div><p class=\"nx-sc-p0\">Credibility premium; Own mean claims; Portfolio mean.<\/p><\/div><div class=\"nx-sc-is\"><p class=\"nx-sc-eb\">Set the model<\/p><div data-sc-sliders=\"true\"><dl class=\"nx-sc-kv\" data-sc-params=\"true\"><div data-sc-param=\"n\"><dt>Years of own claims observed<\/dt><dd>5<\/dd><\/div><div data-sc-param=\"own\"><dt>Own mean claims per year<\/dt><dd>1200<\/dd><\/div><div data-sc-param=\"k\"><dt>Noise ratio k (EPV over VHM)<\/dt><dd>10<\/dd><\/div><\/dl><\/div><\/div><div class=\"nx-sc-is\"><p class=\"nx-sc-eb\">Results<\/p><dl class=\"nx-sc-kv\"><div><dt>Years observed<\/dt><dd data-sc-out=\"nT\">5<\/dd><\/div><div><dt>Own mean claims<\/dt><dd data-sc-out=\"ownT\">1200<\/dd><\/div><div><dt>Portfolio mean claims<\/dt><dd data-sc-out=\"mT\">800<\/dd><\/div><div><dt>Noise ratio k<\/dt><dd data-sc-out=\"kT\">10<\/dd><\/div><div><dt>Credibility weight<\/dt><dd data-sc-out=\"Z\">33%<\/dd><\/div><div><dt>Credibility premium (pure, per year)<\/dt><dd data-sc-out=\"prem\">933<\/dd><\/div><\/dl><\/div><div class=\"nx-sc-is\"><p class=\"nx-sc-p0\">A teaching model with stated values, not a forecast, an assessment or a warning; the portfolio mean, the own mean and the noise ratio are stated values, and real rating estimates the variance components from the portfolio.<\/p><\/div><\/div><div class=\"nx-sc-pane\" data-sc-pane=\"step\" hidden><div class=\"nx-sc-is\" data-sc-step=\"true\"><p class=\"nx-sc-eb\">Step 1 of 6 \u00b7 Own experience<\/p><p class=\"nx-sc-p1\">A fleet or a building owner has a record of claims. Over five years its mean claims cost is 1,200 a year against a portfolio mean of 800: worse luck, or a worse risk?<\/p><p class=\"nx-sc-cite\">B\u00fchlmann (1967), ASTIN Bulletin 4, 199-207.<\/p><\/div><\/div><div class=\"nx-sc-pane\" data-sc-pane=\"std\" hidden><div class=\"nx-sc-is\"><p class=\"nx-sc-eb\">Standards this discipline teaches<\/p><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-F3.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-F3\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-F3<\/span><span>Insurance, catastrophe risk and protection gaps<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-M1.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-M1\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-M1<\/span><span>Method fabric: Universal mathematics and statistics<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-M9.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-M9\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-M9<\/span><span>Method fabric: Insurance and reinsurance<\/span><\/a><\/div><div class=\"nx-sc-is\"><p class=\"nx-sc-eb\">Standards it relies on<\/p><a class=\"nx-sc-row\" href=\"https:\/\/nexustandards.com\/standards\/ns-1\/\"><span class=\"nx-sc-gl\" data-glyph=\"NS-1\" data-stage=\"PROPOSED\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NS-1<\/span><span>The UNI and the artifact catalog<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/nexustandards.com\/standards\/ns-16\/\"><span class=\"nx-sc-gl\" data-glyph=\"NS-16\" data-stage=\"PROPOSED\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NS-16<\/span><span>UNI application profile (how articles, documents, code, data, APIs and interfaces carry the UNI)<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-C1.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-C1\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-C1<\/span><span>Risk vocabulary and ontology<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-C2.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-C2\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-C2<\/span><span>Risk assessment method<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-C3.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-C3\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-C3<\/span><span>Hazard, exposure, vulnerability and capacity data<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-C4.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-C4\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-C4<\/span><span>Risk data model, identifiers and exchange<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-C8.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-C8\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-C8<\/span><span>Evidence, uncertainty and provenance<\/span><\/a><a class=\"nx-sc-row\" href=\"https:\/\/github.com\/gcri\/nexus-standards\/blob\/main\/standards\/risk\/NRS-C9.md\"><span class=\"nx-sc-gl\" data-glyph=\"NRS-C9\" data-stage=\"OPEN\" aria-hidden=\"true\"><\/span><span class=\"nx-sc-code\">NRS-C9<\/span><span>Risk models, methods and validation<\/span><\/a><\/div><div class=\"nx-sc-is\"><p class=\"nx-sc-p0\">The Academy proposes how each discipline teaches toward the Nexus Standards; the mapping is open for review by the editors of the Nexus Standards.<\/p><\/div><\/div><\/aside><dl class=\"nx-sc-figs\" data-sc-figs=\"true\"><div data-sc-out=\"prem\"><dt>Credibility premium (pure, per year)<\/dt><dd>933<\/dd><\/div><div data-sc-out=\"nT\"><dt>Years observed<\/dt><dd>5<\/dd><\/div><div data-sc-out=\"ownT\"><dt>Own mean claims<\/dt><dd>1200<\/dd><\/div><div data-sc-out=\"mT\"><dt>Portfolio mean claims<\/dt><dd>800<\/dd><\/div><\/dl><div class=\"nx-sc-find\" data-sc-find=\"true\"><svg width=\"16\" height=\"16\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><circle cx=\"7\" cy=\"7\" r=\"5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\"\/><path d=\"M11 11l3 3\" stroke=\"currentColor\" stroke-width=\"1.5\"\/><\/svg><span class=\"nx-sc-q\" data-sc-q=\"true\" aria-hidden=\"true\">Search a step, standard or discipline<\/span><kbd>\/<\/kbd><\/div><div class=\"nx-sc-tools\"><button type=\"button\" class=\"nx-sc-btn nx-sc-sheet\" data-sc-act=\"sheet\" aria-expanded=\"false\" disabled>Model<\/button><button type=\"button\" class=\"nx-sc-ib\" data-sc-act=\"reset\" aria-label=\"Reset the view\" disabled><svg width=\"14\" height=\"14\" viewBox=\"0 0 14 14\" aria-hidden=\"true\"><path fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\" d=\"M2.5 7a4.5 4.5 0 1 0 1.4-3.3M2.5 1.8v2.4h2.4\"\/><\/svg><\/button><button type=\"button\" class=\"nx-sc-ib\" data-sc-act=\"clear\" aria-pressed=\"false\" aria-label=\"Scene only\" disabled><svg width=\"14\" height=\"14\" viewBox=\"0 0 14 14\" aria-hidden=\"true\"><path fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\" d=\"M1.5 5l0-3.5 3.5 0m4 0 3.5 0 0 3.5m0 4 0 3.5-3.5 0m-4 0-3.5 0 0-3.5\"\/><\/svg><\/button><\/div><p class=\"nx-sc-cap\"><span class=\"nx-sc-eb\">The model<\/span> From a claims history to a premium: how much weight a policyholder's own record deserves<\/p><\/section><\/div><\/div><\/section><section id=\"nx-sec-scope\" class=\"nx-section nx-as\" data-as=\"wide\" data-ra-wide=\"true\" data-hue=\"finance\" aria-labelledby=\"nx-sec-scope-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Scope<\/span><\/div><h2 id=\"nx-sec-scope-h\" class=\"nx-section-title\">What the discipline covers<\/h2><p class=\"nx-lede\">The subtopics its courses and labs teach.<\/p><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-ra-sig\" data-motif=\"yield\" data-scope=\"discipline\"><svg class=\"nx-ra-sig-svg\" viewBox=\"0 0 480 300\" role=\"img\" aria-label=\"Actuarial science: 0 primary courses open, 1 in preparation and 1 also taught here, across 8 subtopics. Courses: RAT-242 L3 in preparation, RAN-310 L2 also taught here.\" focusable=\"false\"><title>Actuarial science: 0 primary courses open, 1 in preparation and 1 also taught here, across 8 subtopics. Courses: RAT-242 L3 in preparation, RAN-310 L2 also taught here.<\/title><path class=\"nx-ra-sh\" d=\"M38 266H450M38 266V16\"\/><text class=\"nx-ra-tx\" x=\"34\" y=\"26\" text-anchor=\"end\">2<\/text><text class=\"nx-ra-tx\" x=\"34\" y=\"270\" text-anchor=\"end\">0<\/text><text class=\"nx-ra-tx\" x=\"44\" y=\"284\" text-anchor=\"middle\">L1<\/text><text class=\"nx-ra-tx\" x=\"176\" y=\"284\" text-anchor=\"middle\">L2<\/text><text class=\"nx-ra-tx\" x=\"308\" y=\"284\" text-anchor=\"middle\">L3<\/text><text class=\"nx-ra-tx\" x=\"440\" y=\"284\" text-anchor=\"middle\">L4<\/text><path class=\"nx-ra-sa\" d=\"M44 266C66 266 132 266 176 266C220 245.7 264 164.3 308 144C352 144 418 144 440 144\"\/><path class=\"nx-ra-sl\" d=\"M44 266C66 266 132 266 176 266C220 266 264 266 308 266C352 266 418 266 440 266\"\/><circle class=\"nx-ra-fp\" cx=\"44\" cy=\"266\" r=\"4\"\/><circle class=\"nx-ra-fp\" cx=\"176\" cy=\"266\" r=\"4\"\/><circle class=\"nx-ra-fp\" cx=\"308\" cy=\"266\" r=\"4\"\/><circle class=\"nx-ra-fp\" cx=\"440\" cy=\"266\" r=\"4\"\/><text class=\"nx-ra-tk\" x=\"448\" y=\"270\" text-anchor=\"start\">0<\/text><text class=\"nx-ra-tx\" x=\"448\" y=\"140\" text-anchor=\"start\">1<\/text><rect class=\"nx-ra-fo\" x=\"48\" y=\"6\" width=\"9\" height=\"9\"\/><\/svg><figcaption class=\"nx-ra-sig-cap\"><span><span class=\"nx-ra-sig-t\">Actuarial science at a glance<\/span><\/span><ul class=\"nx-ra-key\"><li data-k=\"live\">Open, 0<\/li><li data-k=\"prep\">In preparation, 1<\/li><li data-k=\"also\">Also taught here, 1<\/li><li data-k=\"topic\">Subtopics, 8<\/li><\/ul><span class=\"nx-ra-sig-src\">Course codes from the curriculum; study levels L1 to L4.<\/span><\/figcaption><\/figure><dl class=\"nx-as-std\" data-cols=\"2\"><div><dt>Faculty<\/dt><dd><a class=\"nx-link\" href=\"https:\/\/risksacademy.com\/finance-economics\/\">Faculty of Finance and Economics<\/a><\/dd><\/div><div><dt>Department<\/dt><dd><a class=\"nx-link\" href=\"https:\/\/risksacademy.com\/finance-economics\/departments\/insurance-actuarial\/\">Department of Insurance and Actuarial Science<\/a><\/dd><\/div><div><dt>Courses<\/dt><dd>In development<\/dd><\/div><div><dt>Levels<\/dt><dd>In development<\/dd><\/div><div><dt>Labs<\/dt><dd>Exposure lab<\/dd><\/div><\/dl><ul class=\"nx-list\"><li>Loss distributions<\/li><li>Extreme value methods<\/li><li>Dependence and correlation<\/li><li>Credibility and sparse data<\/li><li>Mortality and longevity<\/li><li>Capital and solvency models<\/li><li>Pricing under climate change<\/li><li>Quantitative model validation<\/li><\/ul><p class=\"nx-note nx-mt-3\">Courses in development extend the scope to one further subject: Mortality and longevity risk.<\/p><\/div><\/div><\/section><section id=\"nx-sec-chapter\" class=\"nx-section nx-as\" data-as=\"plain\" data-ra-wide=\"true\" data-hue=\"finance\" aria-labelledby=\"nx-sec-chapter-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">The discipline<\/span><\/div><h2 id=\"nx-sec-chapter-h\" class=\"nx-section-title\">The field and its scope<\/h2><p class=\"nx-lede\">For actuaries, quantitative analysts and students who need to fit, validate and use the loss, mortality and capital models that insurance and pensions depend on.<\/p><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-measures\" class=\"nx-section nx-as\" data-as=\"plain\" data-hue=\"finance\" aria-labelledby=\"nx-sec-measures-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Measures<\/span><\/div><h2 id=\"nx-sec-measures-h\" class=\"nx-section-title\">Quantities and units<\/h2><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section nx-as\" data-as=\"plain\" data-ra-wide=\"true\" data-hue=\"finance\" aria-labelledby=\"nx-sec-methods-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-sec-methods-h\" class=\"nx-section-title\">Methods and their limits<\/h2><p class=\"nx-lede\">Each method is listed with what it assumes and where it fails.<\/p><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-debates\" class=\"nx-section nx-as\" data-as=\"plain\" data-hue=\"finance\" aria-labelledby=\"nx-sec-debates-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Debates<\/span><\/div><h2 id=\"nx-sec-debates-h\" class=\"nx-section-title\">What the field debates<\/h2><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"bVXNkts2DH4VTC692LvZvdZ1J5P2sKcckj4AREIiEopQAVBe5+k7pOysmsnJI4sEvj9Ap5ghZDT74115PYZ0jDS8O58ir+dT9PNHLJDYXJQDZgjoaK6yJIJR6d9KJVzBnHOGgaAaRRhFYVEOXCaoJZJCyDyjE4SEZaI\/T4\/Rz6cYz58KwSLGzlIgSY4GntDBE4HxVDADF5jFHBZSzgZst2Y2Y86glNF5JXCBgl4VM6yojANn9itgiUCvi1hVgknl4ukAJuBKJVK8MbvChT0BrVQcjBwwfq3mc3tkg0gjFeMh0++A7spD7YDNa2SyzjdVbQKVvSpKM3IBLkFKyNV4pQf4kgjEE+meb69A6Ae4cI4jK3XkQcpKofNrMOdNl8Rjh4VZCeMVZkKrikOmw1YNS6nYtLmbkDiSAW6sD710PxikxK49xR8WzRIpg1RfqoMlqTm2ShkDgShciKe0GbRLxQ\/lHk6PMZ5Pj1t6bhH6vFW5o+kdrKUlSDFX5HILzYishczeAvIhrhLQyUDGt+NuENipo\/j7H5ioh0xrbuVlhOf3T0+b9StHKoE2upNiqRkVFL2d3IKSmzTBAQ0Wlde7oYuKU\/CmTELF4KRszsEOgDrVdr8XVbZv2\/zwyAG3YGyEB4LMM7caLrtuPWwIAathhszlW3ufxewBPi2LFGoMW5cbcCVz5dBBY\/DaKuV87Xrt6i4qsQYyCCpmR6uDcdxmAONKagRGuQVKyqHxNZlb0DBfbVN4FhcFLi1PTTYcnbTL\/Pz+6fknoa1OE5nv8nT3bycAxqhkbSt4UqlTAlcstqBuI4J9FDxhgQGL\/TI\/L9YhSKHjlbAxzpXgrn17pT2UJnntVbeJ2O2Zv9oER9JOsl34fD\/68gIBMw+6ObcTHd8aJlH+LgVm9JBoQ3PfMC6gyEYQcGHH3IYk0rFDa8JMvPbZCzIv2KcURp7aOsJuE4yssz3AR+WWrj0C9m19mvcJyFKmoyO3yOz3W\/uf1vbUmt52AL0uW3otifrYdiUbBEmkbVQv7fcnIdmgiB9glJzl0hz+oP69kN52Uc6EUyXbGd6lvLDZm6BfyPw3ax+CpvWvYbRrA3nLVl8G\/3P9Mebzfw==\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-bodies\" class=\"nx-section nx-as\" data-as=\"plain\" data-hue=\"finance\" aria-labelledby=\"nx-sec-bodies-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Bodies and data<\/span><\/div><h2 id=\"nx-sec-bodies-h\" class=\"nx-section-title\">Bodies that set practice, and the data they publish<\/h2><p class=\"nx-lede\">Bodies and standards are named so learners can find and apply their published work; the Academy teaches their use and links to the publisher, and no affiliation is implied.<\/p><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-instrument\" class=\"nx-section nx-as\" data-as=\"wide\" data-ra-wide=\"true\" data-hue=\"finance\" aria-labelledby=\"nx-sec-instrument-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Simulator<\/span><\/div><h2 id=\"nx-sec-instrument-h\" class=\"nx-section-title\">Run the discipline's simulator<\/h2><p class=\"nx-lede\">Actuarial science's own model, as a live chart: move each parameter and read how the outputs respond.<\/p><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-maps\" class=\"nx-section nx-as\" data-as=\"maps\" data-ra-wide=\"true\" data-hue=\"finance\" aria-labelledby=\"nx-sec-maps-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Maps<\/span><\/div><h2 id=\"nx-sec-maps-h\" class=\"nx-section-title\">Build a twin of any place<\/h2><p class=\"nx-lede\">Search any place or open the world; the layers and generators follow actuarial science on the planet map, the globe and in 3D.<\/p><\/div><div class=\"nx-section-body nx-as-body\"><div class=\"nx-ra-map nx-tw\" data-ra-map=\"finance-economics\" data-ra-map-od=\"LgP+LKa6JUZ9BHUqUb+7mXFUA6iQ9+7f28VFj3jp1Kg=\" data-ra-map-state=\"idle\" data-ra-map-mode=\"learn\" data-ra-view=\"map\" data-tw-pip=\"twin\"><div class=\"nx-tw-head nx-ra-map-bar\" role=\"toolbar\" aria-label=\"Twin builder controls\"><p class=\"nx-tw-path\"><span>Finance and Economics<\/span><span>Any place<\/span><strong>Twin builder<\/strong><\/p><div class=\"nx-ra-tb-search\" data-tw-search=\"true\"><\/div><span class=\"nx-ra-map-seg\" role=\"group\" aria-label=\"View\"><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"view-map\" aria-pressed=\"true\">Planet map<\/button><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"view-globe\" aria-pressed=\"false\">Globe<\/button><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"view-twin\" aria-pressed=\"false\">3D twin<\/button><\/span><span class=\"nx-ra-map-seg\" role=\"group\" aria-label=\"Extent\"><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"world\" aria-pressed=\"true\" disabled>World<\/button><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"anchor\" aria-pressed=\"false\" disabled>Worked example: Houston<\/button><\/span><span class=\"nx-ra-map-seg\" role=\"group\" aria-label=\"Mode\"><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"learn\" aria-pressed=\"true\" disabled>Learn<\/button><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"expert\" aria-pressed=\"false\" disabled>Expert<\/button><\/span><span class=\"nx-tw-more\"><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"share\" disabled>Share and cite<\/button><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"tools\" disabled>Expert tools<\/button><\/span><\/div><div class=\"nx-tw-gens nx-ra-tb-gens\" role=\"group\" aria-label=\"Twin generators\"><button type=\"button\" class=\"nx-ra-tb-gen\" data-ra-gen=\"assets\" aria-pressed=\"false\"><span class=\"nx-ra-tb-gk\">Exposure<\/span><span class=\"nx-ra-tb-gt\">Asset exposure to water<\/span><span class=\"nx-ra-tb-gp\">Refineries, works, port land and power plants on built-up land and OPERA surface water.<\/span><\/button><button type=\"button\" class=\"nx-ra-tb-gen\" data-ra-gen=\"dens\" aria-pressed=\"false\"><span class=\"nx-ra-tb-gk\">Field<\/span><span class=\"nx-ra-tb-gt\">Asset concentration<\/span><span class=\"nx-ra-tb-gp\">Density of the twin's industrial assets: where a single event meets many assets.<\/span><\/button><button type=\"button\" class=\"nx-ra-tb-gen\" data-ra-gen=\"loss\" aria-pressed=\"false\"><span class=\"nx-ra-tb-gk\">Scenario<\/span><span class=\"nx-ra-tb-gt\">Flood reach scenario<\/span><span class=\"nx-ra-tb-gp\">A straight-line reach around each power plant to read which assets share a hazard footprint.<\/span><\/button><button type=\"button\" class=\"nx-ra-tb-gen\" data-ra-gen=\"aq\" aria-pressed=\"false\"><span class=\"nx-ra-tb-gk\">Index<\/span><span class=\"nx-ra-tb-gt\">Water stress, Aqueduct 4.0<\/span><span class=\"nx-ra-tb-gp\">Baseline water stress per hexagon (WRI Aqueduct 4.0).<\/span><\/button><button type=\"button\" class=\"nx-ra-tb-gen\" data-ra-gen=\"bld\" aria-pressed=\"false\"><span class=\"nx-ra-tb-gk\">3D<\/span><span class=\"nx-ra-tb-gt\">3D port city<\/span><span class=\"nx-ra-tb-gp\">Basemap buildings extruded by height along the Ship Channel.<\/span><\/button><\/div><div class=\"nx-tw-body\"><div class=\"nx-ra-map-views\"><div class=\"nx-ra-map-stage\"><div class=\"nx-ra-map-idle\"><button type=\"button\" class=\"nx-btn\" data-variant=\"secondary\" data-ra-map-act=\"load\">Load the map<\/button><\/div><\/div><div class=\"nx-ra-map-twin\"><div class=\"nx-ah\" data-ah=\"twin\"><div class=\"nx-ast\" data-ast=\"twin\" data-ast-state=\"flat\" data-ast-faculty=\"finance-economics\" data-ast-mode=\"metres\" data-ast-od=\"REUIoRhP1YquU\/s6xEh2BIxDP0lDzKY7IO2QB\/084Y4=\" data-ast-data=\"XCjBSle9bT1gxjoadFrEIgmsx\/d+85L\/6gOPqQm2v4w=\" data-ast-exag=\"1.5\"><div class=\"nx-ast-stage\" tabindex=\"0\" role=\"region\" aria-label=\"Digital twin of Houston and the Ship Channel\" aria-describedby=\"nx-ast-twin-help\"><figure class=\"nx-ra-sig nx-ast-flat\" data-scope=\"twin\" id=\"nx-ast-fig\"><svg class=\"nx-ra-sig-svg nx-ast-svg\" viewBox=\"0 0 1200 1029\" role=\"img\" aria-label=\"Houston and the Ship Channel: a flat plan of the faculty twin. Terrain 0 to 66 m; 30 power plants, 11,875 MW; 7 refineries and chemical works; 2 port land; 29 named works; 154 named industrial sites; Surface water extent, OPERA DSWx (HLS): read live when the 3D twin opens; Built-up and settlement extent, HBASE 2010: read live when the 3D twin opens. Contours every 10 metres from the elevation grid; power plants as marks; refineries, terminals and industrial sites as marks.\" focusable=\"false\" 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\"><title>Houston and the Ship Channel: a flat plan of the faculty twin. Terrain 0 to 66 m; 30 power plants, 11,875 MW; 7 refineries and chemical works; 2 port land; 29 named works; 154 named industrial sites; Surface water extent, OPERA DSWx (HLS): read live when the 3D twin opens; Built-up and settlement extent, HBASE 2010: read live when the 3D twin opens. Contours every 10 metres from the elevation grid; power plants as marks; refineries, terminals and industrial sites as marks.<\/title><\/svg><figcaption class=\"nx-ra-sig-cap\"><span><span class=\"nx-ra-sig-t\">Houston and the Ship Channel, United States.<\/span> Flat plan of the same data: relief as contours from the inline grid, the plants by capacity, the industrial points by kind and the numbers below. The 3D twin opens on devices with WebGL once its data and library have been checked.<\/span><ul class=\"nx-ra-key nx-ast-key\"><li data-k=\"terrain\">Terrain 0 to 66 m<\/li><li data-k=\"plant\">30 power plants, 11,875 MW<\/li><li data-k=\"refinery\">7 refineries and chemical works<\/li><li data-k=\"port\">2 port land<\/li><li data-k=\"works\">29 named works<\/li><li data-k=\"industrial\">154 named industrial sites<\/li><li data-k=\"live-surface-water\">Surface water extent, OPERA DSWx (HLS): read live when the 3D twin opens<\/li><li data-k=\"live-built-up\">Built-up and settlement extent, HBASE 2010: read live when the 3D twin opens<\/li><\/ul><span class=\"nx-ra-sig-src\">Credits and dates per layer are listed under the stage. Relief in the twin is exaggerated \u00d71.5 for legibility.<\/span><\/figcaption><\/figure><p class=\"nx-ast-help\" id=\"nx-ast-twin-help\">Drag to move, right drag or Shift with a drag to turn and tilt, Ctrl with the wheel to zoom. Keyboard: arrows move, Shift with arrows turn and tilt, + and - zoom, 0 resets, V steps through the views, Escape clears.<\/p><\/div><div class=\"nx-ast-bar nx-ah-hud\" role=\"toolbar\" aria-label=\"Twin controls\"><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"open\" data-variant=\"primary\">Open the 3D twin<\/button><span class=\"nx-ah-status\" data-live=\"true\"><span class=\"nx-ah-dot\" aria-hidden=\"true\"><\/span>2 live layers, checked 17 Oct 2026<\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"reset\" disabled>Reset view<\/button><span class=\"nx-ast-group\" aria-label=\"View\" data-ast-views=\"true\" data-ast-default=\"a-instrument\"><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"style\" data-ast-style=\"a-instrument\" aria-pressed=\"true\" disabled>Drawing<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"style\" data-ast-style=\"b-daylight\" aria-pressed=\"false\" disabled>Photo<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"style\" data-ast-style=\"c-holograph\" aria-pressed=\"false\" disabled>Holograph<\/button><\/span><details class=\"nx-ah-menu\" data-k=\"places\"><summary><span>Places<\/span><span class=\"nx-ah-n\">4<\/span><\/summary><div class=\"nx-ah-pop\"><span class=\"nx-ast-group\" aria-label=\"Views\"><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"view\" data-ast-view=\"channel\" disabled>Ship Channel refineries<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"view\" data-ast-view=\"baytown\" disabled>Baytown and Cedar Bayou<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"view\" data-ast-view=\"downtown\" disabled>Downtown and the bayous<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"view\" data-ast-view=\"whole\" disabled>The whole box<\/button><\/span><\/div><\/details><details class=\"nx-ah-menu\" data-k=\"layers\"><summary><span>Layers<\/span><span class=\"nx-ah-n\">5<\/span><\/summary><div class=\"nx-ah-pop\"><span class=\"nx-ast-group\" aria-label=\"Layers\"><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"overlay\" aria-pressed=\"false\" hidden disabled>Analysis overlay<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"layer\" data-ast-layer=\"terrain\" data-ast-delivery=\"inline\" aria-pressed=\"true\" disabled><span class=\"nx-ah-sw\" data-f=\"terrain\" aria-hidden=\"true\"><\/span><span>Terrain<\/span><\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"layer\" data-ast-layer=\"plants\" data-ast-delivery=\"inline\" aria-pressed=\"true\" disabled><span class=\"nx-ah-sw\" data-f=\"points\" aria-hidden=\"true\"><\/span><span>Power plants<\/span><\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"layer\" data-ast-layer=\"industrial-assets\" data-ast-delivery=\"inline\" aria-pressed=\"true\" disabled><span class=\"nx-ah-sw\" data-f=\"points\" aria-hidden=\"true\"><\/span><span>Refineries<\/span><\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"layer\" data-ast-layer=\"surface-water\" data-ast-delivery=\"browser-direct\" aria-pressed=\"false\" disabled><span class=\"nx-ah-sw\" data-f=\"live\" aria-hidden=\"true\"><\/span><span>Surface water extent<\/span><span class=\"nx-ah-tag\">Live<\/span><\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"layer\" data-ast-layer=\"built-up\" data-ast-delivery=\"browser-direct\" aria-pressed=\"false\" disabled><span class=\"nx-ah-sw\" data-f=\"live\" aria-hidden=\"true\"><\/span><span>Built-up and settlement extent<\/span><span class=\"nx-ah-tag\">Live<\/span><\/button><\/span><\/div><\/details><span class=\"nx-ast-group nx-ah-time\" aria-label=\"Time\"><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"earlier\" aria-label=\"Earlier date\" disabled><span aria-hidden=\"true\">&lsaquo;<\/span><span class=\"nx-ah-it\">Earlier<\/span><\/button><span class=\"nx-ast-date\" data-ast-out=\"date\" aria-live=\"polite\">Date: newest<\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"later\" aria-label=\"Later date\" disabled><span class=\"nx-ah-it\">Later<\/span><span aria-hidden=\"true\">&rsaquo;<\/span><\/button><\/span><button type=\"button\" class=\"nx-ast-btn nx-ah-tomap\" data-ast-act=\"to-map\" aria-controls=\"nx-sec-maps\"><span class=\"nx-ah-pin\" aria-hidden=\"true\"><\/span>Open in the map<\/button><details class=\"nx-ast-cred nx-ah-info\"><summary aria-label=\"Credits and data dates, Houston and the Ship Channel\"><span class=\"nx-ah-i\" aria-hidden=\"true\">i<\/span><span class=\"nx-ah-it\">Credits<\/span><\/summary><div class=\"nx-ah-pop\"><ul class=\"nx-ast-credits\"><li data-ast-layer=\"terrain\"><strong>Terrain<\/strong> Surface height in whole metres on a grid of about 320 by 370 metres, read from one overview of the 30 m product at build time; the plain lies between sea level and about 66 m. <span class=\"nx-ast-cr\">Produced using Copernicus WorldDEM-30 \u00a9 DLR e.V. 2010-2014 and \u00a9 Airbus Defence and Space GmbH 2014-2018 provided under COPERNICUS by the European Union and ESA; all rights reserved. read 2026-10-17.<\/span> <span class=\"nx-ast-est\">Estimate: A digital surface model: trees and roofs are in the heights. Relief exaggeration is printed on the stage.<\/span><\/li><li data-ast-layer=\"plants\"><strong>Power plants<\/strong> The 30 plants inside the box with nameplate capacity in MW and primary fuel, from the 2021 release, drawn as columns by capacity: the portfolio's assets. <span class=\"nx-ast-cr\">Power plants: Global Power Plant Database v1.3.0 (2021), World Resources Institute and partners, CC BY 4.0. release 1.3.0, 2021-06-02.<\/span> <span class=\"nx-ast-est\">Estimate: A 2021 snapshot, never current operating status; capacity is nameplate.<\/span><\/li><li data-ast-layer=\"industrial-assets\"><strong>Refineries, terminals and industrial sites<\/strong> Named refineries, chemical works, terminals, port land and industrial sites, each as one point with its tags as mapped. <span class=\"nx-ast-cr\"><a class=\"nx-link\" href=\"https:\/\/www.openstreetmap.org\/copyright\">\u00a9 OpenStreetMap contributors<\/a>, ODbL 1.0. data as of 2026-05-31.<\/span> <span class=\"nx-ast-est\">Estimate: Points as mapped; no asset value, ownership or operating status is implied.<\/span><\/li><li data-ast-layer=\"surface-water\"><strong>Surface water extent, OPERA DSWx (HLS)<\/strong> Open and partial surface water on the date shown, draped on the terrain around the assets. <span class=\"nx-ast-cr\">OPERA Dynamic Surface Water Extent from HLS, NASA JPL OPERA (contains modified Copernicus Sentinel data; USGS Landsat), via NASA GIBS, with the product date. Live: this page requests gibs.earthdata.nasa.gov when the layer is opened; the data date is printed with it.<\/span> <span class=\"nx-ast-est\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).<\/span> <span class=\"nx-ast-est\">Estimate: A classification from optical imagery; clouds leave gaps; never a flood warning, a return-period hazard or a risk rating.<\/span><\/li><li data-ast-layer=\"built-up\"><strong>Built-up and settlement extent, HBASE 2010<\/strong> Built-up extent in 2010 from Landsat as the exposure footprint around the assets. <span class=\"nx-ast-cr\">CIESIN, Columbia University, and NASA SEDAC: Global Human Built-up And Settlement Extent (HBASE) 2010. Live: this page requests gibs.earthdata.nasa.gov when the layer is opened; the data date is printed with it.<\/span> <span class=\"nx-ast-est\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).<\/span> <span class=\"nx-ast-est\">Estimate: A 2010 classification; the year is printed.<\/span><\/li><\/ul><p class=\"nx-ast-why\">Why this place: One box of about 77 by 66 kilometres holds the petrochemical complex of the Houston Ship Channel, Galveston Bay's refineries and terminals, and a city whose insured losses from Hurricane Harvey (2017) and the February 2021 freeze are the standard cases for catastrophe accumulation, protection gaps and the pricing of flood and power-outage risk. Data quality: the Global Power Plant Database lists the region's 30 plants with capacity and fuel, OpenStreetMap maps 192 refineries, terminals, works and industrial sites, Copernicus DEM GLO-30 covers the low relief, and OPERA surface-water detection and HBASE built-up extent load live from NASA GIBS. It connects to the Insurance, reinsurance and protection gaps, Disaster risk finance, Actuarial science, Climate and nature financial risk, Market, liquidity and treasury risk and Public finance and sovereign debt disciplines of the atlas.<\/p><\/div><\/details><\/div><div class=\"nx-ast-read\" data-ast-out=\"read\" aria-live=\"polite\" hidden><\/div><p class=\"nx-ast-note\" aria-live=\"polite\">Flat plan of the same data: relief as contours from the inline grid, the plants by capacity, the industrial points by kind and the numbers below. The 3D twin opens on devices with WebGL once its data and library have been checked.<\/p><\/div><\/div><\/div><button type=\"button\" class=\"nx-tw-swap\" data-ra-map-act=\"swap\" aria-label=\"Swap the main view and the inset\"><span class=\"nx-tw-swap-k\" data-tw-swap=\"true\">3D twin<\/span><span class=\"nx-tw-swap-v\">Swap<\/span><\/button><div class=\"nx-ra-tb-insp nx-tw-insp\" aria-live=\"polite\"><\/div><div class=\"nx-tw-ictl\" hidden><button type=\"button\" class=\"nx-tw-ib\" data-tw-insp=\"min\">Hide<\/button><button type=\"button\" class=\"nx-tw-ib\" data-tw-insp=\"close\" aria-label=\"Close the card\">Close<\/button><\/div><\/div><aside class=\"nx-tw-dock\" data-nx-tabs=\"dock\" aria-label=\"Simulator: instruments, layers and sources\"><div class=\"nx-tw-tabs\" role=\"tablist\" aria-label=\"Simulator panels\"><button type=\"button\" class=\"nx-tw-tab\" role=\"tab\" id=\"nx-tw-t-inst\" aria-controls=\"nx-tw-p-inst\" aria-selected=\"true\" tabindex=\"0\" data-key=\"inst\">Instruments<span>3<\/span><\/button><button type=\"button\" class=\"nx-tw-tab\" role=\"tab\" id=\"nx-tw-t-layers\" aria-controls=\"nx-tw-p-layers\" aria-selected=\"false\" tabindex=\"-1\" data-key=\"layers\">Layers<span>11<\/span><\/button><button type=\"button\" class=\"nx-tw-tab\" role=\"tab\" id=\"nx-tw-t-src\" aria-controls=\"nx-tw-p-src\" aria-selected=\"false\" tabindex=\"-1\" data-key=\"src\">Sources<\/button><\/div><div class=\"nx-tw-pane\" role=\"tabpanel\" id=\"nx-tw-p-inst\" aria-labelledby=\"nx-tw-t-inst\"><p class=\"nx-tw-empty\">The instruments run on the faculty home; their worked example is Houston and the Ship Channel:<\/p><ul class=\"nx-ai\"><li><a class=\"nx-ai-a\" href=\"https:\/\/risksacademy.com\/finance-economics\/#nx-sec-instruments\"><span class=\"nx-ai-t\">Loss-exceedance curve<\/span><span class=\"nx-ai-w\">The exceedance probability curve and the average annual loss of the twin's portfolio (30 plants by capacity and 192 industrial sites, each at its ground elevation) under a water level by return period, a value per MW and per site and a depth-damage curve you set; stress the 100-year level and watch the expected loss move.<\/span><\/a><\/li><li><a class=\"nx-ai-a\" href=\"https:\/\/risksacademy.com\/finance-economics\/#nx-sec-instruments\"><span class=\"nx-ai-t\">Term structure<\/span><span class=\"nx-ai-w\">Nelson and Siegel's curve fitted by least squares to ten design-scenario points from three months to thirty years, with level, slope and curvature shocks in basis points and a paste box for your own points.<\/span><\/a><\/li><li><a class=\"nx-ai-a\" href=\"https:\/\/risksacademy.com\/finance-economics\/#nx-sec-instruments\"><span class=\"nx-ai-t\">Portfolio exposure table<\/span><span class=\"nx-ai-w\">The 30 plants and 192 industrial sites as a table: asset, kind or fuel, capacity, ground elevation from the terrain grid, sortable by capacity, elevation or name; on the open twin the surface-water and built-up layers are read around each asset and the table prints their product dates.<\/span><\/a><\/li><\/ul><\/div><div class=\"nx-tw-pane\" role=\"tabpanel\" id=\"nx-tw-p-layers\" aria-labelledby=\"nx-tw-t-layers\" hidden><div class=\"nx-tw-layers\" data-tw-layers=\"true\"><p class=\"nx-tw-empty\">Open the map to switch its 11 layers.<\/p><\/div><\/div><div class=\"nx-tw-pane\" role=\"tabpanel\" id=\"nx-tw-p-src\" aria-labelledby=\"nx-tw-t-src\" hidden><p class=\"nx-tw-empty\">8 live and observed layers and 3 from the twin. Data: Natural Earth, CIESIN\/Columbia, NASA JPL OPERA DSWx-HLS, NASA JPL OPERA DSWx-S1, CIESIN, VIIRS, Open-Meteo.com, U.S. Geological Survey. Each layer states its provider, licence and date when it is switched on.<\/p><div class=\"nx-tw-cred\" data-tw-cred=\"true\"><\/div><\/div><\/aside><\/div><p class=\"nx-ra-map-note\" role=\"status\">The boundaries, names and designations shown do not imply any judgement on the legal status of any territory, or any endorsement or acceptance of such boundaries. Countries: Natural Earth (public domain).<\/p><\/div><\/div><\/div><\/section><section id=\"nx-sec-standards\" class=\"nx-section nx-as\" data-as=\"wide\" data-ra-wide=\"true\" data-hue=\"finance\" aria-labelledby=\"nx-sec-standards-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Nexus Standards<\/span><\/div><h2 id=\"nx-sec-standards-h\" class=\"nx-section-title\">Nexus Standards it teaches and relies on<\/h2><p class=\"nx-lede\">The Nexus Standards the discipline teaches toward, grouped by master standard, with the disciplines that teach each.<\/p><\/div><div class=\"nx-section-body nx-as-body\"><ul class=\"nx-fc nx-fs\"><li><a class=\"nx-fc-a\" href=\"https:\/\/nexustandards.com\/finance\/\"><span class=\"nx-fc-p\">nexustandards.com\/finance\/<\/span><span class=\"nx-fc-t\">Finance, Insurance and the Economy<\/span><span class=\"nx-fc-s\">NRS-F3 Insurance, catastrophe risk and protection gaps; NRS-M9 Insurance and reinsurance<\/span><span class=\"nx-fc-n\"><span><b>2<\/b>standards taught<\/span><span><b>1<\/b>discipline<\/span><\/span><\/a><\/li><li><a class=\"nx-fc-a\" href=\"https:\/\/nexustandards.com\/data\/\"><span class=\"nx-fc-p\">nexustandards.com\/data\/<\/span><span class=\"nx-fc-t\">Data and Evidence<\/span><span class=\"nx-fc-s\">NRS-M1 Universal mathematics and statistics<\/span><span class=\"nx-fc-n\"><span><b>1<\/b>standard taught<\/span><span><b>1<\/b>discipline<\/span><\/span><\/a><\/li><\/ul><p class=\"nx-fs-foot\"><a class=\"nx-link\" href=\"https:\/\/risksacademy.com\/nexus-standards\/\">Nexus Standards at the Academy<\/a><span>The Academy proposes how each discipline teaches toward the Nexus Standards; the mapping is open for review by the editors of the Nexus Standards.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-research\" class=\"nx-section nx-as\" data-as=\"wide\" data-ra-wide=\"true\" data-hue=\"finance\" aria-labelledby=\"nx-sec-research-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Research hub<\/span><\/div><h2 id=\"nx-sec-research-h\" class=\"nx-section-title\">Research hub: papers, preprints and datasets<\/h2><p class=\"nx-lede\">Open scholarly sources searched with the subject terms of Actuarial science.<\/p><\/div><div class=\"nx-section-body nx-as-body\"><div class=\"nx-ra-rh\"><div class=\"nx-rh\" data-rh-data=\"nx-rh-finance-economics-actuarial-science\" data-ns-data=\"nx-rh-finance-economics-actuarial-science\" data-rh-state=\"static\" data-ns-credits=\"Research metadata: OpenAlex (metadata CC0); Crossref (metadata facts); DataCite (metadata CC0); Zenodo, CERN (metadata CC0); arXiv (metadata CC0); thank you to arXiv for use of its open access interoperability; Europe PMC (EMBL-EBI); OpenAIRE Graph (CC BY 4.0)\" aria-label=\"Research hub: Actuarial science\"><p class=\"nx-rh-terms\"><span class=\"nx-rh-label\">Search terms<\/span>Actuarial science; Loss distributions; Extreme value methods; Dependence and correlation; Credibility and sparse data; Mortality and longevity<span class=\"nx-rh-from\">Derived from the Risk Academy page on Actuarial science.<\/span><\/p><ul class=\"nx-rh-sources\" aria-label=\"Sources\"><li class=\"nx-rh-src\" data-rh-state=\"pending\"><span class=\"nx-rh-src-name\">OpenAlex<\/span><span class=\"nx-rh-src-state\">listed for reference; not queried<\/span><\/li><li class=\"nx-rh-src\" data-rh-state=\"pending\"><span class=\"nx-rh-src-name\">Crossref<\/span><span class=\"nx-rh-src-state\">listed for reference; not queried<\/span><\/li><li class=\"nx-rh-src\" data-rh-state=\"pending\"><span class=\"nx-rh-src-name\">DataCite<\/span><span class=\"nx-rh-src-state\">listed for reference; not queried<\/span><\/li><li class=\"nx-rh-src\" data-rh-state=\"pending\"><span class=\"nx-rh-src-name\">Zenodo<\/span><span class=\"nx-rh-src-state\">listed for reference; not queried<\/span><\/li><li class=\"nx-rh-src\" data-rh-state=\"pending\"><span class=\"nx-rh-src-name\">arXiv<\/span><span class=\"nx-rh-src-state\">listed for reference; not queried<\/span><\/li><li class=\"nx-rh-src\" data-rh-state=\"pending\"><span class=\"nx-rh-src-name\">Europe PMC<\/span><span class=\"nx-rh-src-state\">listed for reference; not queried<\/span><\/li><li class=\"nx-rh-src\" data-rh-state=\"pending\"><span class=\"nx-rh-src-name\">OpenAIRE Graph<\/span><span class=\"nx-rh-src-state\">listed for reference; not queried<\/span><\/li><\/ul><p class=\"nx-rh-note\">No source is enabled for live display on this site yet: the sources are listed for reference and none is queried. Once the publisher of record enables a source after its terms are reviewed, recent works are listed here. Metadata and links only: title, authors, venue, year, type, open-access status and licence as each source records them; works are listed for orientation, not reviewed or endorsed.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-hub\" class=\"nx-section nx-as\" data-as=\"hub\" data-ra-wide=\"true\" data-hue=\"finance\" aria-labelledby=\"nx-sec-hub-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Hub<\/span><\/div><h2 id=\"nx-sec-hub-h\" class=\"nx-section-title\">Research and tools<\/h2><p class=\"nx-lede\">Research and preprints as they are published, by discipline, with the faculty's other tools.<\/p><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\"><div class=\"nx-ra-feeds\" data-ra-feeds=\"finance-economics\" data-ra-feeds-od=\"lx1sECIMzbZsJ2j7gSEgEYiW1gGLFTpaIHyPJ7t5s10=\" data-ra-feeds-scope=\"actuarial-science\"><p class=\"nx-tw-empty\">The hub lists the newest research and preprints for Actuarial science, each with its source and date. <a class=\"nx-link\" href=\"https:\/\/risksacademy.com\/finance-economics\/research-hub\/\">Open the research hub<\/a><\/p><\/div><\/figure><\/div><\/div><\/section><section id=\"nx-sec-frontier\" class=\"nx-section nx-as\" data-as=\"timeline\" data-ra-wide=\"true\" data-hue=\"finance\" aria-labelledby=\"nx-sec-frontier-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">13<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">What is changing now<\/span><\/div><h2 id=\"nx-sec-frontier-h\" class=\"nx-section-title\">What is changing now<\/h2><p class=\"nx-lede\">Recent developments in actuarial science, each with its source; sources checked on 16 October 2026.<\/p><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-courses\" class=\"nx-section nx-as\" data-as=\"plain\" data-hue=\"finance\" aria-labelledby=\"nx-sec-courses-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">14<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Courses<\/span><\/div><h2 id=\"nx-sec-courses-h\" class=\"nx-section-title\">Courses in this discipline<\/h2><p class=\"nx-lede\">Courses for this discipline are in development; until they open, study it through the connected courses and open lessons below.<\/p><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\"><p class=\"nx-p nx-mt-1\">The courses from connected disciplines below also teach this field.<\/p><\/figure><\/div><\/div><\/section><section id=\"nx-sec-also\" class=\"nx-section nx-as\" data-as=\"plain\" data-ra-wide=\"true\" data-hue=\"finance\" aria-labelledby=\"nx-sec-also-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">15<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Also taught here<\/span><\/div><h2 id=\"nx-sec-also-h\" class=\"nx-section-title\">Courses from connected disciplines that also teach this field<\/h2><p class=\"nx-lede\">Each course has its primary discipline elsewhere and teaches this field as part of its scope.<\/p><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\"><div class=\"nx-cc\"><p class=\"nx-cc-h\"><span class=\"nx-tw-path\"><strong>From connected disciplines<\/strong><\/span><span>In development<\/span><\/p><ol class=\"nx-ra-reg\"><li><div><span class=\"nx-ra-code\">RAN-310<\/span><span class=\"nx-ra-reg-b\"><span class=\"nx-ra-reg-t\">Risk in Insurance and Reinsurance<\/span><\/span><span class=\"nx-ra-state\" data-state=\"prep\">In development<\/span><span class=\"nx-ra-reg-m\">Nexus, L2 Intermediate, 12 hours (estimate), primary discipline: Insurance, reinsurance and protection gaps<\/span><\/div><\/li><\/ol><\/div><\/figure><\/div><\/div><\/section><section id=\"nx-sec-labs\" class=\"nx-section nx-as\" data-as=\"plain\" data-hue=\"finance\" aria-labelledby=\"nx-sec-labs-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">16<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Labs<\/span><\/div><h2 id=\"nx-sec-labs-h\" class=\"nx-section-title\">How the subject is practised in labs<\/h2><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Lab<\/th><th scope=\"col\">What you do in it<\/th><th scope=\"col\">Courses using it<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Lab\">Exposure lab<\/td><td data-label=\"What you do in it\">Overlay people and assets with hazard footprints<\/td><td data-label=\"Courses using it\">1<\/td><\/tr><\/tbody><\/table><\/div><\/figure><\/div><\/div><\/section><section id=\"nx-sec-technology\" class=\"nx-section nx-as\" data-as=\"plain\" data-hue=\"finance\" aria-labelledby=\"nx-sec-technology-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">17<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Technology in this area<\/span><\/div><h2 id=\"nx-sec-technology-h\" class=\"nx-section-title\">How technology helps and what risk it brings<\/h2><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-ladder\" class=\"nx-section nx-as\" data-as=\"plain\" data-hue=\"finance\" aria-labelledby=\"nx-sec-ladder-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">18<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Achievements<\/span><\/div><h2 id=\"nx-sec-ladder-h\" class=\"nx-section-title\">Achievements in this discipline<\/h2><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-pathways\" class=\"nx-section nx-as\" data-as=\"route\" data-ra-wide=\"true\" data-hue=\"finance\" aria-labelledby=\"nx-sec-pathways-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">19<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Pathways<\/span><\/div><h2 id=\"nx-sec-pathways-h\" class=\"nx-section-title\">Pathways that teach it<\/h2><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\"><div class=\"nx-ar\" data-start=\"none\"><ol class=\"nx-ar-ways\"><li><a class=\"nx-ar-a\" href=\"https:\/\/risksacademy.com\/pathways\/nrm-flagship\/\"><span class=\"nx-ar-k\">Academy flagship<\/span><span class=\"nx-ar-t\">Nexus-Based Risk Management flagship pathway<\/span><span class=\"nx-ar-m\">20 courses across the faculties.<\/span><\/a><\/li><\/ol><\/div><\/figure><\/div><\/div><\/section><section id=\"nx-sec-practice\" class=\"nx-section nx-as\" data-as=\"plain\" data-hue=\"finance\" aria-labelledby=\"nx-sec-practice-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">20<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Where this is practised<\/span><\/div><h2 id=\"nx-sec-practice-h\" class=\"nx-section-title\">Where the subject is practised<\/h2><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\"><ul class=\"nx-ra-cite\"><li><span class=\"nx-ra-cite-o\">The Global Risks Alliance (GRA)<\/span><span><a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/\">Actuarial and Quantitative Risk<\/a><span class=\"nx-ra-cite-n\">Capital and solvency models, Climate-adjusted pricing questions, Credibility and sparse data, Dependence and correlation, Extreme value methods, Loss distributions, Quantitative model validation, Mortality and longevity<\/span><\/span><\/li><\/ul><p class=\"nx-ra-cite-f\">Field platforms of the ecosystem where the subject is studied and applied.<\/p><\/figure><\/div><\/div><\/section><section id=\"nx-sec-foundry\" class=\"nx-section nx-as\" data-as=\"plain\" data-hue=\"finance\" aria-labelledby=\"nx-sec-foundry-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">21<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Practised in<\/span><\/div><h2 id=\"nx-sec-foundry-h\" class=\"nx-section-title\">The two Nexus Foundry systems where it is practised<\/h2><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\"><ul class=\"nx-ra-cite\"><li><span class=\"nx-ra-cite-o\">Nexus Foundry<\/span><span><a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-foundry\/systems\/grix\/\">GRIx system<\/a><span class=\"nx-ra-cite-n\">Experience and risk data<\/span><span class=\"nx-ra-cite-n\">Data room<\/span><\/span><\/li><li><span class=\"nx-ra-cite-o\"><\/span><span><a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-foundry\/systems\/labs\/\">Labs system<\/a><span class=\"nx-ra-cite-n\">Model comparison<\/span><span class=\"nx-ra-cite-n\">Benchmarks room<\/span><\/span><\/li><\/ul><p class=\"nx-ra-cite-f\">Nexus Foundry system pages describe what each system and its rooms are designed to do; the courses teach the methods these systems apply.<\/p><\/figure><\/div><\/div><\/section><section id=\"nx-sec-ecosystem\" class=\"nx-section nx-as\" data-as=\"plain\" data-hue=\"finance\" aria-labelledby=\"nx-sec-ecosystem-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">22<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Across the ecosystem<\/span><\/div><h2 id=\"nx-sec-ecosystem-h\" class=\"nx-section-title\">Across the ecosystem<\/h2><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-across\" class=\"nx-section nx-as\" data-as=\"wide\" data-ra-wide=\"true\" data-hue=\"finance\" aria-labelledby=\"nx-sec-across-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">23<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Consortium<\/span><\/div><h2 id=\"nx-sec-across-h\" class=\"nx-section-title\">Across the Consortium<\/h2><\/div><div class=\"nx-section-body nx-as-body\"><ul class=\"nx-ra-xl\"><li><a href=\"https:\/\/therisk.global\/economic-development\/\"><span class=\"nx-ra-xl-o\">GCRI Canada<\/span><span class=\"nx-ra-xl-t\">Economic Development<\/span><span class=\"nx-ra-xl-n\">Methods, data and models<\/span><\/a><\/li><li><a href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/\"><span class=\"nx-ra-xl-o\">GRA<\/span><span class=\"nx-ra-xl-t\">Actuarial and Quantitative Risk<\/span><span class=\"nx-ra-xl-n\">Exposure, loss and capital<\/span><\/a><\/li><li><a href=\"https:\/\/nexustandards.com\/finance\/\"><span class=\"nx-ra-xl-o\">Nexus Standards<\/span><span class=\"nx-ra-xl-t\">Finance, Insurance and the Economy<\/span><span class=\"nx-ra-xl-n\">Standards that apply<\/span><\/a><\/li><li><a href=\"https:\/\/therisk.global\/nexus-reports\/areas\/economic-development\/\"><span class=\"nx-ra-xl-o\">Nexus Reports<\/span><span class=\"nx-ra-xl-t\">Economic Development in Nexus Reports<\/span><span class=\"nx-ra-xl-n\">Where it is reported<\/span><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-references\" class=\"nx-section nx-as\" data-as=\"plain\" data-hue=\"finance\" aria-labelledby=\"nx-sec-references-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">24<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">References<\/span><\/div><h2 id=\"nx-sec-references-h\" class=\"nx-section-title\">Core references and where to begin<\/h2><p class=\"nx-lede\">Start with Coles, then Embrechts, then B\u00fchlmann.<\/p><\/div><div class=\"nx-section-body nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-nr-gateway\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" aria-labelledby=\"nx-nr-gateway-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">NR<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Nexus Reports gateway \u00b7 GW-ACADEMY<\/span><\/div><h2 id=\"nx-nr-gateway-h\" class=\"nx-section-title\">Contribute to Nexus Reports from this page.<\/h2><p class=\"nx-lede\">Nexus Reports is the Consortium's quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.<\/p><div class=\"nx-chips\"><span class=\"nx-chip\">Risk Academy<\/span><\/div><\/div><div class=\"nx-section-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-1\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-1\" class=\"nx-h3 nx-mt-2\">Around Actuarial science<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/risksacademy.com\/finance-economics\/insurance-reinsurance\/\">Insurance, reinsurance and protection gaps <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/risksacademy.com\/finance-economics\/disaster-risk-finance\/\">Disaster risk finance <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/risksacademy.com\/finance-economics\/departments\/insurance-actuarial\/\">Department of Insurance and Actuarial Science <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/risksacademy.com\/finance-economics\/\">Faculty of Finance and Economics <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-2\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Actuarial science<\/span><h2 id=\"nx-close-2\" class=\"nx-section-title\">Prepare with a related course<\/h2><p class=\"nx-lede\">Open courses in connected disciplines teach the methods this discipline will build on.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/risksacademy.com\/courses\/\">Browse the course catalogue <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/risksacademy.com\/finance-economics\/departments\/insurance-actuarial\/\">Back to Department of Insurance and Actuarial Science<\/a><\/div><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? 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