# QCS6490 thermal testing and results

Source: [https://docs.qualcomm.com/doc/80-70014-251/topic/thermal_testing.html](https://docs.qualcomm.com/doc/80-70014-251/topic/thermal_testing.html)

## Test environment

![](data:image/png;base64,UklGRvpeAABXRUJQVlA4WAoAAAAQAAAAzwIAGAIAQUxQSCYAAAABDzD/ERGCTNqm/k3PwP5E9D87Hv/5z3/+85///Oc///nPfx90DFZQOCCuXgAAMK0CnQEq0AIZAj8BcrFTKya0vCWSPXuAIAllbkK1/yuoNhLxe6R5kpqQjiw8p/aeJjAUcW81byS+fjx9BDrXLn9+74P/J9cm4K80f7c/t37vX+w/cn3zf5L0gOpo/cT2EemC/utsc+U9lPau/qfbcxT/MeD35ETV9zeDPlmc6Y2fImpd+9lG9jsdC//6eoD8wKgz+T0VGAf9SXal/ZhOsl/Dlru+w/5Tey5NZQPWV0Dnza/FHzov1fjbbGKdHcJB/vqgjZ0N6tjreyo2Q8fTTfyVMrV6LKb9g+TNRa29kQf72yiK0pAPZ55VHlAPtklPU1XGv7wFGs8NyttZUn2qwWTbOHQe99cv4AN6RDAPN0Yy9z/+HMwYnl0wbe4fH62LdwHPeIJXd4vK2w+KVpjdc/KOvkNVbZqmGubgiPmhpXAZuh+th4V0UZPPc8RWPKzTDBE87IA6E5GH0PYJm+b0vna432z4dvBlr8+D+MdRhfih9Z1nL8qi2LoqQVomM48ysIqgWvvYULDlufZWNPIGGNwlF2gE2PQL34ckTxG8VFRlBrckRdEzk+TkfjPB5L6qnb9r5sg0+65eISnHmjFM8cMerBf8ZjEhgTOj/l27g2iz1Tfx7LB29LaZooay3x57zgcT+b87ZBwm0tzwqObJPYkgjOwKCDPO1P5VKYpGJsaA/4CWkYgmvbGQheHbb4UKgUAIwxMXNXk5vrNRGCGIv8O7lIhB4jflLPcMZapHN8k/8m2P2CrI56t8GkXlCTEXlnPqb5Npdfm26Ek35Sq84xrChERk49ghnZVVHqhq3t+nXSQbNIpNKlPxzQdwktae7XSqxohgj/ida+fPiyngf2SBuC2ggc1m98HOo1sNqMx30ufojKhPJswFl1DKVpnAV3Ls3uOyM1cj/RaALp7Sc3+p9AyTKOr8SkHZ5sBbk1d18zZ5lVQZOT8kXtUW2z4L65nbVU+be97OAJ9cQ0aOjRl5MUCvMuZItN+TnKsfi39CC03uSzXwMdsbdGS5/TbJeeVJ14hCONcwbCprGn6aap9z9qiNiTJRomfKqWP3p8pQRJ74Dct4MYrg9qQKeK4lK3BrPEXVY4oD5nKjjTVkVwOmb6FoU3CBJtmArUqBewC4L8sqfI/u8ao1L/AmL9IFytBP0Q8liih5y9h+iAYMGHUlMnEkdgZPeeL44DaXudr9ukWCFse8LGGjqfEXNGfrsEnqOl4bJ6FeQFWBIo0H21uhXfqs791DcqYfLK6S91LnbWPhQm/OMRkuopywTASzhEo/tklvnyDrVAQtHt47p2ZmMBlJKOythGlSASgg8FZPZlaNxlBR7AjM8eKrTTinX5sDdQHvjHWNZwtjRUNJSdoDWvb9qqanK3rIE5cWc3fAbX5bFfjuSZtb67A5y8pnHxtpR+HZfYP2ISAFOgim5UfJgtSVW2NUGz9DYvi7kUaGDk9JSphfET9pSDNI4Eo+pDOUl7Y3W1BJsGGU47TH4d4vwrmak/xg1kLATBbwqWzfymDfc/WmwVLF9by2Btgj1dIQWFztFYQk8z6QV2t/J+jP2hHasdNI+pgJ9dV9rcY/xVqFXOZJqEFQwzYPCqXfJC0ye6PvBdkL9cPaczMlXdrM/RMrXLb5OO+YdUUyj5QhGpsVOKKSfBSAR6nuOBE0stV8dOzLGZgUAAaL0SBI8Mi4ursy0tCyYKuqTIRkWmyNBWIkhQSFQlzh1dXW501hJ34XoGCc4DK9cCS7w6tfuEicxuqgp6hihL2u4PN69GJMQvZfgONwygYb7YPbu3p7zcGEwtXCBqmOPp2Es6uVXl9qahbox9NjGH6w0uvY6B/pv7Zil4kJK8SHW1tM/sFrzLdH5l3SMm+8V5rjj0/C0E9qs70sAOd4D2g8jKI09XRArq1s/S620mp13Cz0TOkBAJ5JzU47V7btbe0AldnF8s3OFP4JFitIrbs4P2icnZerutrOHkmhDMtbae0VsfJuC8oC15VWXs9gaELf6kOz8l6MVEzusbmz88sqxV3QP6JuHBz/oScaBMDBzO9xbzQJWF9jgJ068MT3TfKVxnrkqyJ0gYYH9pfBDLiP0n1RcEUP5ih71qfI9VYgM9zNqc9AV/EERp+/0ZnmUjEZffmgoBidKxUJh8rXxTT1cEPzn0R7f8fK7s/+tRuBc8nnTxvmFoUNWFV5qkn1ETMYuHDOHYABYVm5Po1MSpoBM/eoK28igRtcOwfAvhzZJuKufHZMWw/ngkxn7UIU9ZZfOZdwC/hJq992xlX/0NqIBuBaYB+jenQAJUkrcuEL2NgfBUN21wAo6aSirmQ3oBzDqDfVfQRVhOW4EA4L5PNwLOtvqO0A5mOFXsDvoVW4b2MkREd3Od96KGQzTTqQ5i+7GxX6mSZzqD1tZEFpKSJLAku4dtsjsgDqX7p2b5ESbp+Px6nC27Sy3xM6VHOa2nA+ptE7M79jYXriPlTY9J5q1xfryfiZrybrkhdlG9iJIwrrBRQdbnHcC84COpNKKTCL4exTQbiMwcyxQ4T/nKhM/1lGjnS9GXG+SisjWrXtGWGKdqtkxHKdA1/q73x5j58y8X6c0gOkachndWDjP4wBL9IuR/3rL9Z+EyNp1ZUVgXeAzWh6wWRzftzuzS9ebkq9pLLx6d8KdvV/G7yJkzDIsScvC0WR2bsM1nnNMbHhXvXUU2BkCWpHo6mg1rZ5UApLUMqUSy3su0QQbwygWFrRmhZR8tzHwcEDtnCZ+KVoasvm2AY0CX+WZKlVGXtvViUDSx6nBoe5+QJW1Ckt59ekL+yp+GOunj4XdBmukI7aipxM02LS8B2WxT13NJ7xIvRFW5HhSnxdvaBtbTQFQA2VLGjD7F4Cjo7FqUnHRPSr8OWl7f8IlW7lY4OQXqNOGAVpoN3MiFtb5vhMnuy5hNd+W0SPSokRcaQzN6n/h99pjphZlJHVISQls19IVZWxH8kboDlybCxBrAhB0yDONLoXuDKhMRRAdn9UrIKcKXtFmHUbkRnr0vCOMWwyvEWTyKAn6A2oXQ6KSqT2s2wNxpk7yyEYLTfI3/L3UuyeNJVFG28yHfd90hrC738trda4+9Vo0kgwmNtV3BRi0SyNZkSu/lyEYDygZ3IeNqVBs96UeZzZbZ3rdLtuQU7tmqVv4j4APMB0nVtCIbgLOkjlqD/49XK0u4aBXGbcOZECC7DLsGQe+eeBxOObOIWd2816cak+k9yE8L5qaOjjynJmDJkrg1cxSnHGW+icmjRJlPAb2HXj6ek1KI5dHui9a8FXsc4ZuW21FJN23/vemSZxCfheOa1P2+tDkeyWZFGKe0M/SNNDZWpXxYZLhlWlv00byZv3NDudZtYyTAzDuAwy8LDjokq75wyiKGFwaXcgsU8vXrMPWBEGPFD7JdMaGHweTTh03tibFVLW4oZOM3tvh0qjX5YehnPt79VPnGAUvITYZogTu4aInhPTyGEn1GOK4FgE/1BOlr+cOEWrkNxvp+u6/QF/flxglChnj5vMNtJd37K96ZkVsGy1NqY3zjzFX7y9Smj3efuq0MtiY6q39loDbsQdls/AkNh3y0+8rLvwUHbdiHUcROgS6kcVhWn5aHhfxot9QXuZCTiho8ntymKDzedZC+O8nOqXWv6iiMkzZzEeNb1GHGxy4UODeDBa5lRkNhhXW0ZalhpCtgj1ihqkX7XBuCnr4c9ABlJHeMHQxOi1mBKqiiA33/d2FnqnGB1b3fTst3V7gIU+BilRm/rgT64GB/rc/9sSAaf/xqwFCnBNT/VIGpuKIWASKp1untbVpNLfPf+8VCl+l295xPRa90OxpunnSj4KVHMM9K31g41uYqsukl6DhCI5g2qEFvrAXrkEZ2tYqPn7nzLVHWEDEJndSHuEb/5GNqk+w8QRlezhhvRXd1A/prDEefoLqBpsMGXZp9k67IrI3yUVviuvAThGFYO24yUI/3b70hI5g13/gtcfUZuI1uxd3EN/xfzDBmE7OKhf+EW+WgLIrVHqWGVy8873LSHHR/SgQNQkb7hzrPXe+AUVfmvQ8C9LfDnt3vVMs8nWp1SGGMsEiLLXuACRfTSm7t1z3p1I4Q3hNjsqDz7ockYMfOfJXH2EmBilVb6qZhtuD0cIBw/Aj93KWQgmr/P4IZskrFhAZQzi8Y4xDyMKVMqbI10uDzEdttF/6W76x1jD67Ndu+WMkhX5Tfk6nvXpsmuTEd19npkN3yAoIy9hgVPX8KNvQB2X2fpWpnRtSh6sEWsU35ctS/jxRPv/lkc5kAdCbIQMWOCPFBpM3czTv58iL2LIEcEg8dlhyEG53IibFq3ln/Q0NjR7ylV+Z9M9crRwJrtAqIrnTdIguInZ93J0J5S8aCRVXkY4GOafk9kBu07nOq0s+4Rj1TYWWFxL6YgPoLS/wRbyKDGI7H/C6jBr5dQzHuQ36nG8SMTZ6Z6++6+QfFinl5EG6CUkjpgHBguejtAYCsxv1lgp8OMTdnIoa01EzqgOgstE9RN11p9rI7DNa8um0YoYnsFdpSBDysLIN0v9g05mxqnPNCZYfW+mbRYblgvO3FFjdYUn+3yf93EldOsiHfjGUeeWVg0ShGRzm52UlCtujZJg1OTc7+gcbvoeQuNsUarSpyGWbnxHCNEv/qdsCMdHgP5NicrTs6Hb2ZTr/X1MSsoax+9fr5dz/iwRee6V6Mxv3d/eJup27Dky+mONLAHY4GrkwclkwfX4V/fjcYwOtrJMcZKp8BseiChAtkVnWALxwvRktIR3lUBG6G/WFLoeTsY53aRycmrWLopAB/5Sh1h7wPiviJ34DTUDGABqFF8wXI8KHs6i8XwHHGD3+JztmvmTfsrsK88qeLZOCrVhNIXR4TyQv4ggs1tpiJTZvr/zMy9yGkdra3A1+NMPJTzUV2eVgG2oeMEuEdXTsqoI81bj9SKn6QkeTo0uJJKzCVFqwr3+qMfUoYD15ff0ECxBGW9vX2xE2ai+qbtAnOzEPB1atKYe6rJQG2+TLzSdVdORxkXJpsatXAjnGjtjyZ6RqENUMo+Fw9N/Sj+Mv6RjHJhRk3W7Fat2gJ+fpYPIJQCjYKqEe6I8hEwkh2es+yBtyHKSVXAlfrgceJhTLKrplQJQRHvve5Aw63aFtwFgzUddrBf64Bu0/DE/ADhOrDZlIenz0+9NMuaYrdae9p+6rRrcK3zHEMNeimK7j73SEUFVp661EsABg2p2cukglliv34niDR8ZYN8Xa5A5yjdqRfaqMLMjrB3qkixfbVDpzzKm/b8LqQdSAofzONeMUx0/RVnI12hUSc42K+dYwUbCtDeSWjudlWq/kO7X6Ez61nrGobAxf4GSWjfEEsSWQLIgfs0nNLqfn33E8pBqFBqYZSFg5LXt2ZuIbEdaxkwgBuut7eCLaEVSso3ufOMcqjendsN5Zvm/+ocpDj5Wz/YEBpI+3bfScgXmA0bW+Hhfu2xFGcpTYzl8kBziCNmvsoyA8i3I63kR1DSvSL/uti7QcfW8Npp7PoGTNvvXbztC8nPyzH9jLmupP5bdmmrGzkzmC9f7cMjOSBY3U0DuKqcpg/j48+1YcW8uy9pGT2B7l0oAPI15D6mCzr/C7PQ9G7iMXAde8gzFZbag7bXopo7KM2ovZ63NmAOjoZOPmnvP5yrVlWETolb4LV+tWKc9ZEsCBV10gGvHYp+ZtNSLlOv/QMrkp/LbXqeTUh7tJ73dazHpYRdAxt1YPikpVPjjY89Rcmvn1cWARE/s6JqcDzoSkOnJ/w9j1eFQyEom3IiY1gyDskG5yYueg3hvPeF0Dg42yP99gUT9/b8YGAMuSP1slO9veDHoCSG10TnTJONpMNOwKc2cd9NAI98Mg/zh6hgiSKhRyNuhqnYnM/29s9xm29Hr50GkSb2ZP+GSIk//TK+qm3A2epcRWV+7k71L9xpDxvrgWGJp5bQOMihw/9jZXxLrdziXhBBsOFKgbxG3RT79bopngOu7HcjifM7O5B+4iDN28rIJ0IRZ7qLA3xAdAY1rgJb5V8GXrKUA6wDQCHmsUaG0DRuixsZSH5rg5uQOzIX5cunbNYIBOxJdCpZLRYQ7J10Cg/+t865kaRMQ9GEr3WQCxFi49vCCuXOw1Ad9tHfUMGQQdSP3Q+bObvomHSpFTXlStrK8Tehachyf+sNu8GXniHp/z//4BOIXz0Y221f6FP+ujQeYHJ65hj2ghQnrC7E2+3tseqVkkXajNICozyBgM/VyD3pqRnfxz/nzumS7MWfnH2bCUD1JlO6KhUqVuzMZ34s4rcHAfy3uo1hd554FjsY9B241xOVEzUj0YHL5R2Heepb+XouF8ycCGsVIN/UWeY0gnQJ6TXd6xbDBC1AXg9Dfd0Xdr/j+1l5Q2YrbMOc5f9A8USXN1NEPwB46EMLPyoGLQT4sdx10yp2NcIRM2R0GltnroF8J+b6FpBlnWHS+hk4RFpbntnKSl+mf/Ea16Afpa9WPJ+1bmocnbd9YXNuOwGuODpYyUs/PuHpN+nEuYGZR6+VXnB9AyRhLlL4oV1lFcOBEi8AEFMKl6aiAWs08Uagwn4S2INioL8O/ujhgt1KIs4t3EJ3JG+a0+ZbXYC9ltBwrVtrHlusnkPsCYeH5tGCqjWGrApt0hAwxVPmMmENCVS5I4Nlr29Nq204Cbx1+rAyo6iS/zPuj836vfHgtOMy98ZSWs3cZB9q4fPF6gMNKUE1/1Esxp3oIEDKW9n4Q/bCC3A6q+A6FQ1OmPUi+0QhRpocM0sSd4pHLmmGS0179Wf+2XXEcEmgiJy6BtmV6vQyvit/MuxBvOqY5WGQTm23sc2kHB6N3BIVzq1qvdFrnSYkxiEsvf0J3BFdXAQgFgfJ1EwYLXleP+4pFg1Jb4xhKzN898Ru9NtSFkCBlO/aD1O8sGh+lnLz7rH962qVojP5jf5CsbNKAfr3ElkLDOd5hfjPwcyPDrmkYA60LUEQFwpR7lTG/01mZYx6eYkXO9b+SxG1S/Y2lvlqRAnx3bA7aAY9m6DOenq5l5mHiWL2bRxzM/Xo5A9LIK7iM/x/jM9meHgnSrUsqSv5BbsQQLkB6jeeuzvKKu8O7mdL//xYuorPjYI8mkcKbdvVzskIovYN10uLzpjMQ/nHEC/9sGqiRSfMesvUC5ohqgqFXzrrgcGtSv87CsU4DdNbg2+PhpEtp6xP1rHOTMfz8wPxL0IqNefEaapJGuyiyKbzvdl6xUSHPomRDw+vMo3rDbKBl+DcuImn7B0I9Q7W5h/368IjZvxDHqzxDgrsdWBl3GI+pazlmcvYVpdL6ofxTjzZFgrfMcnIOid6Frvyr/OkAAP5oOxs/MSJ5heTH7JSyNm7XIS2Wnd468pTPjB6b/l8vXYTRqiedA3TB6Rrf94qwTBvLMU8nOL73+Wnau4M82ORsh9iDiVKmwEjSYv61Z81PQC1UaO1WUlMhiHTDiqhgJXKBuSeqSpzKLe8mYt2YN/+0BOJNRgjLk0B8CN1MiX5drUxPZlIq5orZEXLcEbBmMxUiQ4jo7h2s9+amBDUUnLnRYF7Y7yI9sKaJ/D7yhevHsyHrRkH0oF8ipdDXnZQEC7k55920UTOLUhENFiaJ+x6zL9AZth35tY+d2XDVEBYAosEcKV8qwvY7iAimxaOrUfwyaOYBqiL9JooJsCGS7TSVv0jlpQ1v5937NAq0K8LTmL/7c8DpU0qVemu+BiBk5Wpq+AoM56NDy6DoUpq4TEyqUWTzD9DWnfDJi9QndN1zAEusqcEFg+R/qWJV2F+BUqDVoMaURV32hNXzhcJLRn6TnqQiGLImZutJxzJ+7eIRp0VIYHzgk4cH5jLyKAEzHAKg4NsxHWBuEdOFL9h0hs1i1Szk44ZsLKLNGLTBttnoBeJ860VLC/MHqPlw3IqBqg3QaMk9ToHg8WYXsCiUz9cYnms2iAHwzrs32zeSUHS3zN5c8t5TT651P2rt6tqFW08Yrm3rKGHN4sV/pKGe5ZkvMUTHZaACio3bk6o722pliK7UJm6yxKFyctOZmb/WAZ9aKljqmyG3VenSUDheNud437AN8+qZdYP6LRoRh0YSDfjoWIknTgNuhn++dqmD0OGst7wCccwJ5Py2T/j2WdRV0qnRR8PIkKmol14mhvhHcivlApp8L1xnvp9o/AV1UxhBs1kXQJpGW+kmTMMW9NB18PeW3eUGzVNm+gWNkQ1zWqSJb4XZ0TuShdp5UAOHzz/NwzGa7BOdL8VjRZT+0ql0GMBwMKp2gcxLJ0B8CJGoLbRhWXGS3BqPCMOtYNoRwVLXWZ5TngGoS2resHNuNWBcl73ksME5Y4qxBv1r9WhG6KjOdNfpH1M+Hbgcsr1BiTQA4N7JgPx8I21c+tdqaYxVSDcoht2SiuFI5QVxZyMQK9yj8g+H/QUucYCyLDebgjGorlHzfvO0Vk209KaXZY/yVPYzdzG/Eay6lr0j7IoFhVuW6LeKFfs79rVvsb/42H96oQg5AU53sW7PtDd72wt0K7FJlLgFMn/0v4NpUQqqbxyYtkYRcRgkjIEikiV7rzoV5pJD3E5WA+R2yTj28DTK9JBmC0IoC57P4SAjI/TqBgeAN1kWP7xdwn3Um9KmEKfkSbPfEENATFbvIFISRqdEm5ceATkuGwLWLCU4KRYDjCf81q6rc8+3X9keyj3kgPnedG/aK+3VpjkR5PbgFgspzGzbnZBhtdcPqN8IbDDG0r72RLWwnotv5xMVBpFcqXOmUBfQDFK24aTjRNkj+8dxWI7HoZN/INw1E19S2KkcKVRsf088Mn0aUd3iH7yELj60VNvZqoIkMd23dC3IcDE9oWbg4g7p9Be1XPU0EWuyoguCh4JhfDUU3XiAvTuGfnMzJKuJDWW4O/EmNwNxxwiS81oArPIttM9QzCtQa4ml2PfGpNhqi4JfFB7dCPMKeTfNPTg9c0v5GpeUH29ALV6hVZv3G0+pCAc359rG0aOIpwNliGNOheaVv8lNmo7iPszItbnbF8Qc7fK5MtX5WHi/HZCJf8PwIKfy8Q2ZKreorglIGggc8eAsQzh7hbCTAZclNKBut4vAAGSAk9t0/Al7JAhAUVa2tz/Bko9wSm0ckNBWcWLspk08G4DlkkIAugQUjoL4cYMCp0LnW00N0garnogBhk2Xh6O5lV0WN4MJKNzujr0oB3ehChCzMsm3JPa1EqtI30hdXm07sKcEfqRvMxdkzcWUaiO/+wAOUEbNP3Ym2dnJiuHxPY7GCAmiTkHvSgq2A3jn6Q3Fvj+V4/c/7OoO42oJvPTXml8kJbakmqF3l/bElgL4/qPKz9+gyQqDFZACfJ87x1PLuR/Goss8ASc2m1rxmW2QPwcxytRnCcY4llcgS/wlBOtn5474qHxizzihQhi2Yuh87IuaR5fmv6Fg5v5aYaEQHvrC/pAfmn27snmG1mQk49aXzigqYElCW1EllU5G/2Hm/IKV38zJTiwnxo8OX6D3/U59x1iLTC3ylhV6C5tvZBUPdugEy2gBdcnEPFuOEeIHhbI6T7VAYkx4dbVpBtoG6xUO5YOgrQF/ECGeiSvqsVXubomtcn++HtdCfHi966ZtItlI6nv7DhwzHO4jKA1bz35JeveUed7qr7qP5quvZGKq4JXsprqJ+tGtqf9uJYfQImiC07mbXF160W7Z40blplsggF8fLdvxfyEHBVgacxr+2gqjK9wxEXYJxopAkobPKJCxQgG24d/fDTHaYqM1PmTBTbbYH3jYL1b0Ai+BkrZjvGFeRtxeDF5GWzh9pMUlT0eOuO8ga4UPzvkfn8y2VT6saZfuJBeFmeLT8x5Jh38mHZg+PRjcyjE3fdswkw9j3kK7dJ19QLLpI4a1FZb/yrT2UKI3oedkSGxRtqaJgEC9wBt2O6F2kOc40AACZFBSfDtnoZIAVVbZA8s193f4XL3qLnbxs1Nhna7Vspk4iLEPHLLR1L+QXARqpdVfJeJCcAS2tgOTmdFZ97kiADfSUtklAKRCWjkp65qMfvndQOlLfP/twoHwMnEVyfKUXU5gbppUYIGYybfEpClTN2BcBLrA1d5QUz0hb7Fh5GYXP1LufA8tFtpA43FAs1r2sgg7FN8xISovzXZmEk48IjrluqL76z2y8myNdi0cViR02asDN5x3aH8o842WdeftuTNaJ+jrIVXgUp1KElloYmjCk3h5J17scFWe4zKDLXFRBjxNc2pfLLW3qOQrUIJ2qzbJTLafb5EiIdYK8yhmsaJAxxZemBnNOgQyKSzwayajkZvR54XPynzgNdmOa89X9hOl3wIlLT5A8lLFFgbofSPLr35sSYAN1fwXFJ30oDrHxLj/mA/PDzr57aO8UgYELH/XQjqR4a50Waju4aaQQwzVLoa/hauiHi/IVy7M9Dk4OWNRGDE7gl0BPXzKBTvr9NQn3vWb9VC/uTjWc5ncuZ4/AWdN99+HkLkG9e9aKhUhcqeb910LtoBMHvG/5HsF19eUUVxToHAWFKMo4Pdf4fMILIT2v7Lpa0KnnBCJQP6vIVkFqAiBMh+qx5byspGM0mWeVtRJ2u41RrGW2gF2gIDZepKxdqG6bIoZ4aXZj9dFmZpaoZfmthlFbrAwYpOwB8RxWiGITJA1CtxEIz+K5DkdGM/+/jt5j5Vsnl8I+Lpsy5j6znZXGSC+LSLf1WpEkJ2ra3Pasi+lGMLJ2Jkw+fYWAlA8Nk1d9RVCKXtWxNEtJFXWywJJt/WRgydN00sgT7LbiwxiRKH7rjvzHDrkVkj17BN+PuRq21EN8pOwWUbbzuA4Gw/I6exYODLy4CpgylMIfteOqlMPeA/AzX0L3M9pXjksNosDzxQd61LuAZouKt8zTUD48XXveGfqpb1nkgsKwrZ7QmFTUZFGlMyXPOR3z/K+FandO+OzvbR8srfshVNZEmoKXnd+o9eOykPVS79PUSkjE3Ksr5Iw7sEAnbaGtJpc3GQAs/D+DKc6EsUzBzbnBBqFfZw6dMIrjQnsorgZgLP3r/zzePIMMoc+ajjQxpTh6qMAdxNDbMLDCmvUi3HYKKoWwqp5yF1A62DHrN+BFOXUs7shTa3UMoaHN8DbKgc1FjuzA/9hncAIpKVp6TZiK+id0uLObXyVt6u5LHbeZlltvXhe5cXaAvksDsdHdlCBcoveNbt6/GNrzGUYwzn8L8K+Fso4OojgYb91Q53z+qTSmo8a1BKvt0mgqtpWgI75ekAiHYslHxsYXQfkM92rYnBsUB98DklY8WhI8Ga7kXGE4l1OJz7N09OM/7G/boH0WvZweVpElJSS+H46CQWZSJGh29RopwFQICfyUWOAf9S26GKG7jhsvSGbzd9dUBUza5UTWeNn74r4YRE8xYgSt5AFbsFTdGJ/WlWPbICB07tyr7kUW8Z5tRLLsVMYLzQ61mNlAjv2nlVehacVCvqh9+9lnIV5Xy/awL16DzOYJvzFsaF57BrxrJO5QRW8suabXyLRUbih1OQx03RTNnB9LF+3EfHW/F64OpJ8opngI98adTk1jE8l6e8h59WH+PaL5c8hycLFTYICU2UepOpYE2t7piXwy2oKTnJnzimzYFhtoPgQAKpA5Gy7unuD9bvvMPrvVz9jknHvcuO2g556QvZaWIuJDitdr5RyvIXItp0vbJWdeZKV6v8nPPImBGlGp3QHy2/JiQKWH7GUY3wMk/iaMaZ4l4YXkVAg2kI3co9vZO/CUu2X5KHFBKJgzhTot5JDf7+zGoQQW5WAO1C1iGhcKPEDlrlP9Rv+1cvnOj4QvBD3lDx+3p2JAh5qCMN0aISpA6Gy+NVRO6x5s52PeMENa3SUYqYqkfxCwMCZUYtwQvf+X5BrW0cZYe8+gDlhgD184dDuANw7+hFlZhqEVsnXNiXpIhmlb4C1LFTmrgwbKUcSuswvs9bk2+oEhZMgL3DYKfOV61ZYhxAMX/QAfxxFt1JAz9vHvpr2FSqrLUsJ9amGFg6vtkgtCfDGAzRaazdKxUs2WyrpyHicocWz07f96GC7hHxcIT/noe85354GXJ45jNHFsm/wMLXCHfs1FPC49yamGMtBleXSE6LKkM+i81KHkjtXtkNiVFuH9aF6CeKaFaZigpj3E8JH0OCj9wiX6394GWLFswqFnoGJsMjczsMenm391ZCjN/6r8ETWucko5YTrM1a2KXUF8YTVxtHw1fYmJ3QJoU59hcGmrjq5uXUYSwq8OAcDmUQdZBTziO68pRVtAcU/seoJDs0M9esj5qPB9RkzAA3rAtSQ+CLzCqXC37YY80DNZBT7MsNQsKvhk7xvZU5/o9pPnAjFp4iKnanOq2NGeVDHVFNtU1hKqvPsEaWhlF/2BmlXYRXHqXvzEOE6+bFHq9wRbzm9asD/6gGGQXggB37qzDqGPK36eGOVHFLtys7QvdJEtBB7bR2zq37bFtulXqlpXNC9OcKhu3BuUgljdQe2AkUTYMx4+JeT9ka9A1stJjFkRs80CQ7sFfUCnpbqgfXdEpZHbQKfeGNe/kDu8GQJD7urLO/9IuUCBnfPWjRa65xHPFsQNfdZEMYgStTX4qNb0jMp4nrn9TYDs1DFyU4JM8uXrHveY+BwdCC6/W+i3jYYRYM167pksDCZ7rjqenOkufnYycJhAJTP/WvQzKVy+KmgGrxSc1SO2z+oYO5adsltuH0m0XJlyCkBZUOZcWsL2ntLiR3HfVMTjbGOdn4VKj67EahKcTiTLwgjB8iK42b9wHQNQt3T8PZSRSgG25zWlAw6yss29tq4wyRWcD3LV+vfitBnOlr6XYkEupVOODMBYvSw2YhxyMM43z928wjos+QSUJp2O+4ZxI1AJAkuXMG+93MjzKqCWIwWaBYbMPUhITYeTf81IgM9kx4Ft38IuiOo4WT9Ya8VcFHsW+m9g5KOKpVy4rgAyGpIonJnvduAVca3zJIN7GV7Gvz4ye5uZOXMVyS/o7N3m1FCxFPf4ZBDisifcbqS45CnCPVE5PtL7GibRdt23JjvSjurhvCM9hE6YOS7xzFaz80FC4HQk1EID+ak47Ia6IUKPkohODToTUjruS4vMu6/rR4Qzu5zR06gRxmexVZLeX4O1JepjyVOx6O5GnIqeAKab+oYVtQGGB/F5I3Ph3SmotOgpjapBn7cj3jeR5cZS/iug62T5lOj8VGAeh9PyyiRpfwskvW+Ch4RYfGbA6a2I/KPQ9SaysQ8QE8QQR3d4r8grvIjI6H7YdgWiXWj1OjrneStwghpHIwcf5HzZ9w9l2lI2jt/i/kAROx/jtgp+QppH05QDOdIzADTf6X+DHG8EZv24u6WtLKCld8Qc8UOYaAxRURHhMOiCR+9QaP8ATT8NHNQJjY0wUZuYenHPAQzBdKn6S87+qjeB/RzkhdGKJuqQxsBrx0JvBmiN7ffxGK8Vz7FSrtr65dDeEHpBcfmNIg8fT4a0nbkZdLMs9iu8KMbV2Q6tnll3hpNTMmPfI98aOC3VYdGN++mwbDwmP9SNB3kZ86blGeqG1iGVViSsT2PPVH4qglWLwZzkjxwxbTpKs90yysoU0YfF3ReAqJX5Cix+Fmw3Js/nrVXPmdzfRhLuKGSvckQFg5SQmweZMQoO/dofrcW+YOK/1roH6SLl4cZmyLN5IlBGvi0zEAjt1KNzYJgSLhrNp+NApyvheR5k9yxP4qf3lz7B1IKsoDqADO3Tfi0wz9aU1evq6TRbg2xomjYlLxERF6XhUJtwc4QBJPdMcILtA4+ZJa8gmvXkL85j7qTWve5CEVfvdlRCmdClQpQzvsi58o01lEpeOgTXusSQ3gi8LeqwtMCIna1E7KAr2rwibBR8HzPmttbyMkWNgzHd6bLwaqzC7QuZJ0xSvRaXun2fapCkqYrNp/ewstEXVxLrE5rgkDVA81e37Ob/FTc4RqH29QFDFGrM8NLZrwT5dulXp2kkbAnU4hoj+WSf2Vo1LNCg0nCSrHrWuQV8NkuIGV+9Dg3srSn6RnEXSzCZIPCxENb/vQX14eHROPdcyGndZY10yg3Meu7a740gEY1Iy6TsKlvsM5cdlHw6CRiQxT2N1RroXRjUusZsoYyxDMHImtcS4DncrOofYvmkypHdaXkwS+3znXgGbk8E+85Dqb9FGUDnp0vZAhWLDgDQwTCcl7XZ4bLAm7HYEiXUQQCCQBT+ETDIEXFwUHiurb15y8sPZpgBVmb6Sp9hOxlh0rVh7EMxVBvJ+g6okSYQOo2hOg5kCSLCjSYhJsMTaxvwzOeLHz3K49VvMdALEXMz7Mz1AkV0RqbkPhd2vQJwrKxwbeqTqju3utoT5FCltcf+Oh47WH8dyNKLmpSgLVTF3F6VLy4lBKsAjZjaSsEf5RQu0hd+gXn0LYUYI0BVPlYs4QV7oH5W4OJY/kQOJNz91hjLYEJrO5SiS4xzW40GjAZECRFWOOZ/uU/hKkS2H3Oz8jt1WbxxBcfm6LxSearpW9PFsJw1pshqTPl7Ei584PjGadU3eT2xBj9Bm9p+zv5B+LMPmF1JjHoUs9DT+AMnlfSFrTaFpDtJYasQmIniJ50MlFsuzIA8wHPADfr5FxAjIYDpCMrdm1WG4c+57xThaoCrCATX4OyTim2NRjPZSIHMLaNk3OdV3rHY7kkQQ8S7xWJNSixOcMLtDLT0lKniDfgQw58sb5A6jAyszTOATo+P1nPHje4WpXtC/wVXMcp7H1uGiAQuzUl6nM2iuXPmzsQ8SlouC1/aD+M2RAbOY695YgEFjyV+DQ6REtGjwrz3yy+q5fltmW7E8ba0mQ5dhcGS8DJBiW0pjw274CHx4OP1i2Rke9y6PfNAW+r/E3Gd13JN+O/b64f8QSd79JM9WjfBPGLjSWqNcV1XAihXnVMjUNocWMY0Iiub5qNP/958fMf5jB4WEP5Lf/482159muD8fSDsFyTrC+74v50CeJDzhUi0jvgVI0EFZwCBcNyHBPUaNWJMH+h272xY+lYtX9ZrnSikvYQMPzUj9cIBzgUVdbdi0b2Z9GdSypdOKQcn83zsQ9ikJZfmIVa76/l18qFstP+cuDpVIFHh0tdInIQ7gotr8/3KBCS1pUr6/yQW0o+m6gqwBi2+PTomtJUWx6YQiGU+ddM2CjwFJ3BxdYaYBzvrP2GzoaYLHS27+8NhJxIztJImUn+r+pTwN0MPF7eUt7UMTojExDxTJm03YVs11HwgDKtDKFYSKDOkA/yT8LQiwv/D1tZa7FqumeRfLAhRDdWX3kFiZdztVMi5+wapGEaOhxUl/YETzNj5Qhl3k2OomjKbpSEJ4XhOxmfmddUWur6jdjQtNLEo2csga34oPrIpnAYvycgV2pYcZ4CUdb6iSgByOjGMSNu30pajMBBT+wJcOsGf1QbJ5FmfJAFKuY2iaE0W06BCSxWk+iPBrsC3Rcj+ZLjKQ49PhubWGypUzWWoLBUV2gYqnpDkrkioyXECw8avA9xkOconLIkja8YGZudoYKm6AQIoEGdGMd6jfnllfOmkiHplbiVkaS8LIg2kipeZ8Jij3hjStHxkqQpjqHHvdeRDxWz4i5hl1i2Y6bPrvwICTb8SDMAc3crHEWrkGO6308yLnWdqXT5rdw8kqq2/Vz1/Mub7vR1cMtTuMu/myMVrh0VRIKd+MpSqGcG+fTcg+U3hZKn5gasf8LT6qfLGgCkkCFfcvu8idejrKw60uGxixkFwhMeI3eIO/l6NNO1ICfG0fIhDJl8+wGKD2aFEQZDlmhHQ9xq9NVOKxYyWIgjJvvCmx3RGR6W9brPnzuk6ba4IBTV1eIZqzdOcnCu05ba0s77Ks7U5wh6yvbcHyNoKl3ThSt8BqHJlC230iUgv3n0mKPE7GRRcaUhI5SSMildmoXeOjn0bfwSMhf9RpKIbjEGA2tyVdxl50FL3fnMZZS8JGAhyoQENb7BqbEW+0TQnqH5dBjafhCQRRKA42os0gefXYpZPz5CEJpirSwmVAP2bYcuircXiY7XLmCaZZFH69CdBK7DB27MBivhRcVP9jmvZUCnVWo0v18nv5lacZ6UKG8GrrJ38E1/HHGz/9CUeVniiOdsgS2um7rGXZxyYriOh5qDalqoCmfg7eI/kIHyVZtiM/0wXYiqYqg+S0HEeXHZgHwdXV2CG1BX8/qJ+q7c19g3i0ZW3A/8DCUCyNdt3eb/M+SoRU0cIDNqIgciz4DIF0j04nMP7j3/spO+sDdJH4QrL1eTcTaQN2EGoiI897DzcxGV4g0+51U5hedEDuVrRdG88svQ/VV1ldh1tSKwDuA/5nP9gknDRz0DcgZmraHxPCPKJfdETtaWskvadOqWQy2TXtw0NjJBrFd9dy2pqxn0H0pl+HotDGN1MRxJdd7QRQBtwG0F5HpyYqNk+Wm3vYrN5kS1PBm61dlCMQtL+Rv/LUbFFPKlAhwzUBWElHrf0fzv5mUE1f9hXfR18L49dU5Zu9lMRvvzfopzCMrl41Gh6NvIAPvp3mgRbONFIerd2LgDaxwzPX8UTQHCBLlSg8UDEuWgD7eOTAme5p3ibnv8NJUJWxrIvwrmSS8E/qcXo73tdE7vrJfCCMOq2i/peuKelcsWSD2SLNBM5b3adm8P8Gr/gdN5JrRm6ATr+8LHBpK1bXKHh6FikUkYLQxpvBHiKarW4AGuXY/M79ZwAPDlLdl+hgBA3JjIwU4sKZ+R1fhW+QdHEzhLyT/uGqjwGgMr9z4BeJbdChFT1Oimd+eMsD9ERVRsTLug6DAfY/VMzaxQP4DFmCfxjmH4Ekq8uA1kJZssFai5qI/zJ563sNlSYwFNB+Rzf3BmvxLpaUWHNK5SMME3Tjqv4wusYxlPsMrAU8l3VDk4/A2F5H4MIPo2ufIY/7GHmNX0F6YJlHRAKuR1ubBKxFa2lg8vbL4jzjcE+0wHtgWRB40sLmrY2q9cZYPmVpxM9czr5SErHd3StEHsXJLn41MngRLyu+ko6pP6KV1WmwOGguI6XVF0x+txSooxUvfwOnKNTRzNezoiznAso2XvrrCzkSgvIPoL9ZyQM9YWvyV9VwjaiW8JI9ACf8IOFkcF9WELzp9iZ/pewu4tR5J3dp4MOYuRoRgKF38QDKZEPmJ7LkQq4R5vZCAq3qM4m5m3+2d9ygrh7c4R2Q9MaPjIhk/sAZN0mMCxOR0wq45bqdIYHmJG0grsQ+qPYR9lb2kMSB+sZ0Gy9ZyfFteRsMB0TIlMZ6KXV1ZYdYogJ/yerCLSqKmk4ug/X8+KL6eqhKWF+1y+aVSsnxzMiD4Pp3qQtW7CEF+JTH+BTkPY25eZUvScHCg2zBDmSSFjgZXIkpEbqEds6FHZ75i/jyINwtNZuFwfgDvSIjeff/NDR75cdGYOyXH/OQZdNRfTaka9R6GHS+/SSsqGaiAwkxtevS3Jv4IGpTnFy+TWCN9n+rypCBYGNXEmDMF/jxWfVBd1/90hbu0Lpvlp/F9geOKdXTdWIuJSuGButUF74G5avtQWj2ixQpK928giz9Lc7Qo3FuV67UitUq8nfZ7RBBFDPQdREgVEOkBCM8aVmZDcdPWQ3CKARfQzLjE0ZT9V9vVv8gVTcDVXo7KZ8B14i985mwWb8crMtHj5z5OtjgSPSPkA9C2oLBc3/DQ/w275cQz6Q00fGDFiVjnKWWPOvhRnH+tAbGr09Jz0lOowTsWAq5DEC10AB8X4Dco8w3pG+uEeJl+7AjOZmn+IG4fyVSWvqBnJT14HskB8xYu91xdAGwjDahqo/K5fgI4kbjczJCWKrgxHhscfnxaMFd20a41IG4REB9mSwQDSefGbZqc2nRQLIoHu9np1RU4UeBnRfPgWLizFgJUoSmIcjNxQtaPF5vWGsZhtiVv5o3Wr5RVknoWgeVlQR1v3qVH4texoW6iSNWltS7OvBT5fSgQAp+weOkpRkfJY4Rxp7HhJHVcndskmgbcXHh4RruMFN5LqrWSdeaKBhYBoyKWj1X+i3CenUnuk6J6/CDK+THwn0LDdGDpvgFUgaCmYFNdgKWsCykDlWRw1l+s//DwTz6XWo0Ns6Ra9/BWciavOzvwRCa6Wrn4oZ1jBm5T7e0lTUk688EO9rdpj5L9tfGONDCEPgA7FQQ86ud4J1fJ9zRaNv8BaBqXRP78x9wAcwJ7pCvdFaZ6fBhZNmcYkhLg/0KT9dYaSolD9ZtGUiM2ugqS9R7Ja12dJ9zIdluvKEKlZMXD8FcFPW6nX6sMRRjgL/Ndapcw2meXzfWIFMHgZExvGVV7zuMCoz7wVOINsIrNarvbtjx8OILfDRcr2u0hdka8mChayCc/vCeHskzLTtBUTx4bhNxajieruSMQbJAR2wglq3HarL0h9/menn7DZTwHHkas4rUAWxrO+0/n0utfQzbxfC7NacEwvvl5MhMmVDxDGIP8G8TN41UAQOS74qN0lhWJvb3hK12dAWpJ3G1Rkq4ecodusMO/RI3i9vYBeYV1Ghc4+VPyRpolvXmiw5xsx/Jy5dWtwnDucyA2Km5K0u2SJX+TWF33a4LdTmeoYNHCjPm1nwjFB2fRFMk00vhFcOzgJTLpfzKgIdKniB9aFUwiDZLVPaBZcOl9vK0nsQ6RzEMqirofljsVOTbCXDUsQ6cIbB923u9YEnm5gBTj/2TSCurBC0tgX3ikBjm4PJW0ecoXN+Cv6NgilAXz3gHsGZ4LplEnYlSWfHmBCPW3egYgtoxQvRHptq3K02w8/wUfaMVyi/ffUKxtggGOSpR5xPoE53+P6MoURPeT/mxDEeOCiY/h9WywjL7Ebnr0VdY+kgDta2v5P9oVlGCwNahSRz8D9lnWAoWfsHDXju5xJw7/iVfno2KvF5N4gCadvB1zjWrcUEZHaqXESuMjjprQ8LYRa4vNJROenHWOKaOOePpypmhN+Hs1tUFOfaHRHhEclqo4fMHXxOKFw8Hv/ofwyWl7ahvlo2tLZ9s8lR//h7oiRnFxTFWZnM2YPzYMxOa3mZdfjbniivbWECSy6mtD0xYSrhQTGnzMvfUkZ5GsJuKrtIBgDj53lc+BEa8eRs4mFxXp6N69F3Ho9FsMOg6XtwclvZCf5LPe+T3NKh+CxtDIxDlnoeMnkAsQybuh/FsNe9ntgg+cwEAQqWrpCviD4RaLuv3xyIWqo+OuTjvtd3L2INd3QYDBMH9n6ASIZGxVorIELlljBi4aa9eTNArld9/cT8oCrWltX9r16VKR4fG0J6iajekSAGErqSUVDcPoRGcGe+KDU0jyLk3UQ56QIVEg5mPYGAVPlPbUgrMqw35j96vZiZNAOzNmfkc/R1PPuE9gVwfFlAbgy29dn/gPXkKzEurf72KPASlRJEjMUlNKf0luW4k0eXnjczwF92m93pa55eWFoMix1+yD170Bpxg70Qt5dQPUfy3PlI8WbI7gwo1jupf75BU6vWpWrCNSrodD2WZB/gBURsydXlHC8I6ALPinrO/k8rlduTJ3UQKw6HZJM4/f7xLdoJEZq7yzZ1/JkCDQujzBmpuZ60o8kgACKSeXUzRsLgVJiX74Bnt+wUeBn92M8IdWjaQ/RhurTPGTWTaz0VbGJP8Of1oIU+QmX+xj9WnpD4bLk4+BXJJAPr9eL6YK1YguQjJDxNTwVj3+e581VLdg8ReJDxhbj2Cd9FM/+aJBCVQPfMua0wi9p047vCW76fhxH2dhYrfsSM9hKKVQrMuKsi7OMb8SPWE4MdtbvlcDulSMi9fRWGDscSuj+UMPKPT30s/1bwVjYGBDsoF1Gbv6kUiLvWDjUmXwxIBlBS00GCRGouZ01+jKFBte/c0LRcEArZ1+E/EM28yrnhFWOJOizPXpS/ojTxo76M1jrYHRwJf4DUaSsTFsmOmphRRfN/12yGzlCzpv7u4MxSWuy5+kKO/Sq8iWbEI3aWM9bmeNryy/3GFYKcEF/Gp8t3PgZKj5cKIXCvBBEvMM4NTzpgyiV6rK++ge3vQYYnjEb72zB29oH5C+87at2IyRQFPm/MUYNMnmgE0F7d5pEogh2pOADDzerbBFLjcTHX88pBb41bzdUz5TrkMwiUyS+RrG1YQrme6BEVIExq4AgmTsf0+qzbtejvJKONBbWwi71sW1KSDft+5UaLiFR8cBqsZEJ/coSqV670A2qgjcu5EjF4DAMqC158B6yoa8YiNfupaksQJhodcaLpPMRDbosKi+5DfrWMVRQr5M9IpYm9R5VXNHMSVRyy0JbbGfb26BcJdkmc4gr5swpE9r4esKFflouUJGBmLc5rJanlvb/6fqChgtFwH5re0x+mhuWo0YjPMsXs58hzZLE0ZuT4/UjCEgG+LppaiP7WAATX2jVGW0J6c7pswEukVvL0YBXBUcAFxC0q1hl8hTEfjLzSOulUMfNTNDiv6W203piyTzg9xQAZPqHg4W7BjrblRCvZ9jnQOMU2v1JoXxlAJrHJ4hYgATmy7R9zjZ3/x1byr8P4FuMONV8fXev4vn27Zu4U8ouIzhrZk8GelkjDLzzoXbAISzhUKIs7pfhw+ZbAKVhGv/po3JIXviXcRfUwwlKXXFUMPc0bi4OfaUFhod+kJCkuV1kiaMS2E3AhUXYASMlNjCP5tl5Hi1UsugCWBJmgVg069PTqcnjlKwUObQWoiOPNGdJmqhpIzI7SJqBHf3sB+/dOnc05G92k+Jt+i2iCBmSSqPk0SL+nqZJ/7spZlEvrswJzzGqadWrw3SrQFt7CRh39JzwuMI5wSQVVftscFmL7aJhXWOaGdmMZaJWgPwyAg2rOTKXtS0sx6y0pabiODZf6dOt80WtavvsFWNKyUT8qkixP/L0cnv7f9WH77fRNhWtQ+R7cDB9alq3uWji6GHhRYphswp+CnsflRSL5ocaMbrdvdwZsD+UxNb4kUzTzJDGpOrA3QTRUeODnaYXJr4AieQRjWwNFwGcf3TVhq8ZvxqwHJff2L/3yKJecD1+/BkX1M/UUuUCJVZwC5seV73FSy2PMmLGyNW2lZLVGN7GBRST9422N65nTcXbzIhmVEAlfBxk16sDRKMSrHccdybB81XXJEX/K9Ti5siMAEEaqcUgQLKjv/DbC4Hcy60ohoCV3a3kin8Mfnd1GNzqlRxwS3oUSLswnrlsgFBDP/6TJvvHUZ2k0y+yVFbdYc4+aSM3PC9Yr25Y+XefmRf4iVpqAQF+ScnN4xWFfWRp1N4FesSrM3Tzy1gM4okD+OxP4nXvUHuBRM/Y8Y6/AHrEKDrca/dIxzJ6k9hmSw1MtJwfDbtXz2r9iWr8FGgtHpyrRHlY2dDJrTEq3IJ9wfvtFEwFDQJNzrndFbEbKSgpeHsDflfKIsnMF73WGGoV3F9MPPcmo2EjHd68JVPGigIeFfrP851APgn4DHA08KywkDgOID+xWmdFE5z6nOqA1OleT/MDOnSSOWEPtTOQz3MsrZhXiD9DfW+b8SsuVpv+nobRuQXU85CcSdP9rG0wCyOmSQatf9krAnOTK8wyHteAFmMK9kl4yRBKQRcmrmdca1kGXltsIGz+KFAJVK6QYl8DjYhhlgLbD6sl6pndLEpK8zBezPR+r3UpVJvcTPrMtHNVvkrTYW2Ylo6k/YB7NOR4JlBkShzDnXKZkXcUQsnEuQ+GwD2j6dZAolsmaSHkx3Mz7ZaeOap71ZMtwQc9X43UabCA1SjOmZcqMwlpzIEi0i/dK6+tprqCBUZc1jbVgZ/cTo3mWnWAw23Z+WHST4TPHASCJJhytqO+0ZXbtdQorPVFFgq8R6x2r0Y1V1iH0As/5/ga6QCDITPwMe0ueHp5huhyepJzjaYeQFvKaw6JFyF+kIU/4ubHRHODVETLajJNHW/D8tagNSXm0BASiduVET58PdREfNG1WfTk7l+g5DZ7J5CxQSaKtxj3PNmG9fpncDPyZUJJTdJpldmLUw0Nnp3SwweMlHRB5HA31K9NeB3rDbUKzpxOs0EJ0xNzUaj+G1HSecMMxwQWui3As42evlfHJL1+k2cDYtqbWSc9WtYhy/Ip5bA91JSsydQ+0Paz1RYv9QdOvF5VmFlgck/DComwkaNsRxPCwn+mNqnt9flbs/XH5zTLdyBypNg+a5g/Ue8Kn1RFVIE3FAXC5yjo6hgipV7FQ0TVMtZ8U8GGK1OA6Rry2IhiIYNAGQ1+VwXcjDutfZWguCSz+xCM63XOLQGJhJMwW2q/JMumQeYIbsm55ZGVjD8OEK/4oGfdLM+oEKJG2uFhYJ9yCZcOBpzijULahju4V/qEjnk6U4W8u8mifW61IPToyqsmZH5FpHVOX1bB4B0AS7nW68m7BUiHLr2+UWsYVYz6HlZC+/GOwNiUV36Asq8fdIrIKyzwOCvM5BsCeVQk4F01Jwj3KT2Ui/1eJ7qvJre4P62qE0evwG4530HYbi+R6sNWR7H4E1lejB/y+O1rg5M0/TholZ9h8mBrMNwmBrLd5PW2cQN31LGbqSYD2U2MfR820aqdDN+cZQOStDVesia00tGcGqZC0Wdy8ya3wXbXuleL1lP/GZUACA6S5G1e8LvNuzlOSuoCT9fFqs/PppkzWiUU0vhko25gTc7/XXuN7FxfstmW0jDCzyXdlM0ZZY6S+9verimRtxs4BowzA94CAr8C4KAtO9rEEw1T/TSd6Dw1ar4W1yNVSFrqIXcqQVP2Dt9nbi4QTcEcrAZwpv15ejaA2kQZ9FET7BojCgGZ4j2ajbp1OK0ljOXM+gmIKEgSwV0sM8v57H0f64D98/Z6EkRC+DoukcOzoJIxHum2gEWaq3v0oba1JSiFDLPbCvxZABkzRkzBZPFD95w4pkPj/ZvP6k/h4KiVaoTAyNTxAlR5vJvIp9RSGvEkrKkOke4C2CcSWnCiXL6DIylW1cANNqorRqBFwSM0nkiwDpGffUY5RD6795fmAWjCGtkE1mzMOS+Xe3HNI1iVWjH9Z/NJCjFolzraIeudnvBhrDEfVtsgjRxJGTPFebLtQykzjgy2ysYovZJQvZROy+1zDuUKpwgoTrOrUcfVRAatoUKIc17JF3EeHiO0idHJ0StBoN/E+g4Z0jd1wNa+/gILe+uR+Xgy9JWEFTNdXJe5b2GhJmay80ndAdjFZS2x8K2d1LrlDJlu4gz9umaLXHviSTgQpNE0RL0XQh424Uj44q31q9cOFhXakUg2PvqmHGieL4shnN/z88Uq0naxYWcxfihac2q+5VdLPegGncrlqb7DUx8g4REtoswr/RCI+LI1YItDebk8hKcu/45O0g5bho9IngXpJAO7D3ozVpJ85k5YWqEJI/PZ68QKlD+axzqYdi9v79QgIgL0CiQbK30Zvz5gBgBbhKitQHVEpySO2EcEY1kJwWFfkrOCZuG7ytrF5zw1RUJIa5fgCx+J8lyvyBXYEbenqkDs6fK3RdQzZl4O5MU4cUVcQ3jeCTEdXDX2e1Xt1hbGxrk2zNEH+218qDytNi1xuZr6PB0SE73lbpxJ7zhA168Tj3o76p2Vw6dGzv+m7NNe3eaiv1dreD0ALMYcmiR2FeLh7K36761Re9q5qz4WhH9BGinu7i4e93yWF+5eTZ8GtXiUc24Pu46mGSXQ3ZPP6TcXvs2BVmfcDpt+lbWnyIL1OyWbYZZ2ObnlglCSJVMSQbPHEBWsDnQ/TrfEGZcWv//3tUBrx6jG9JOoDWaKpYsXOzwtWkR/NAMZhomyvjVaJcbzDuRQjF5G3Cfme/87IuPbu/N8b4q/P+lidfp8Ya7Mpc/D/ainGDmFaIO1wN6M397ExdwtqZg88gUDW2o+7227K03qVBMD7QGL5xUbmAo62ahHoJWiNc0OdrLZ51sb7NJO5aIENEaci9zHfyCZeQUzQ5ouZzHIIqPIDSuAsU5CNX0/t8uyDnPcHPi9kM4miMVxGCksX46lf4w/2Hmwmm4zPnnmu5k3hPyc754n0FhVLClaJUo5fkUQm/IJKz6shwZZWJxfpyLkCZXgCl33id4w2wK5c4jzz3bF8QkKVxwMERPU+5ukj9dkTsIHSQHyYhldq3pz4ZwQykLgf/8RGOXipOaRzN9U2IAPW2MzPmvjzezcfeYPasLarsUiZHl7HZc+4eS3mEN81P7vi2oNDm0Rww/IJkfoz5/AL7cFlwuTp2AG80vjf8lNoFoEH1YNgAIEOqv5kdAvZlvvA/aOikJdStwgRH4KSFvzxzX4OWYz49mFERgDLb4yYP89ZL1+o5IG1u2rFdd32T2uTWoD7y1sFE8Osk0Ce9TK9qtfSSTfFY99SXxpQGecPiF+1C+9z5hWwHxXou0ECDk/SPhnrTke7kTQvRSWPRjJoJE8CpCzVusZ/HUEsaMSwFXpqtCmKDS7PU8d8hPcSci9kjXCNl2Np48x7U+4LJcv77hpQFUUj1mWBNUp0MfbwSzYmWDGp00KvHbwSIqgHZ/8MzFelmDVefsyiLjJdIXYMmJ/q3A8S7hmhqIIuNGblyrwU+e37+6jT5JEoO915dwkflbjFVPl8NHjyqK7zP/OwVMA5Jey6SCNBX5zzWxH54BBWYiP8PqvCfQEXtNn7vmnOBLoGjUw3Ay+dxsQHLOTJMGgp4qjsQZWDIXqAzVVMTx8C3WyrSYkMG2ISSW6sf/7AophZ4YoJdh3BL8in9aZewTXzri9+ECWRJeoiyYGcegz3a3KzsI3m45S6RpfXRMKcpklvVh7nYD1GQGaSCcoRd4vU07xSDTqFtqKvf4U9ws+0ICEmHdEHKR5Bb7AzcWTjCUJvnG/UHBp32HFULA5Kg9QV0+3+rILBncE0YrUaBYrZjoHZvHKFgilrrbyY6vKxOwIWJNsURtHoVRRdFdpLheEHG60oX2xVMgxpXYnwKXT+486AbxIijh4TKRwLTjn9k2Ipi+8QfzzwnEnkgMeVSjAGuT5hj44LWV9N0plYbn3YVs7yZhyxVPrOxgn8AZqB0LzvwLvfzF+k6czMwmfSw9Hl/29Dotvb91Go65hchmELi7WKbAH3SF4BWw0Ee4ezL1FTF1wut/hM68zqyuGwvEO7c8uwktA93DJB6W/R3yqYUy96YDMdoL0g9nnm1OzxU6tgB38A7pira0YqqEbg5FGZE0r+88adiREDZYwLp+bU7DFOPzeTA9+y+zzsZmNq7TARMD6eXXMFnBoy0rUIxw1XqR4st25w8IR/rQy56Ozxz2+dLPI3+oGqmlWuTqzBdhGv5/x9524iPtSm3tfEs06SNx2JLWsIG2d8zEoM/8u0Q3NZsK14B2bfJh5hcPneEqTM1JcXtbYr1Df4zGWTEHjl+yLqprCCsTRbZEkqPVzznbA4K+pn8TixqPyXYhBDQTLFN1HtKzTkcWq6s9os8axDPGkkVgw+Zug2/psk/DF0Fx7QojW0UNOaGRQhVpUGmEds0M2/G96rMjjT5yuEPT4j6gOkblpUFJGiyTdDEncgoS6GinjlqV+t2Jm89DceoWFol5k+bIsSL8t/cuFwovRBJ+GTcEeafRG+qQ8z77qIs17wfn3NMRnDO8tTefbe2LcXwk0Zn9g88IMDmVkGMYoF9smEknExPdLoA5Ush0Ez4m5wj/Jlb7oWkfhgbz5lDKIatzjBUste5TR7WOaxvQqBIJWNLRqYv7KPGnxLkRPiRQWdGhHJAOmkjQ0aSSGQgEy8uH2QAi5Hp9o1PMgVHZKbRTeChI4bQW1HrGk87/Aofrty+1RMHLFqahZLk43B9zKbzWgMvjQ2kxhSN4KFNYbdaN6YF59P+3CDeIdGIzpcoQqbhu29PDSzNjxT27sbiNr55h1Tj0IpZlj7eCb5vRFp0tmiIcDl1aGnH/NpuVHil7DQS00K6t6YEXm3kEEXGFlBoolN8+CC4qw5yfD8DzI6O3Rqeh9cAUyjAstu0dE4Qs8tbcEl4OthGM4cSPRZ1t1t7EW10r2Y9RQXXhKoaGtXcsqW8hqP5MukGaGVdU1bqaGCv3vLQw/nHGLW0Lb+OzISqGkTV+zX0E2DNwODSomYdv9AxMqCvJgc8ZVwX5iqN4JG5vHuYIh5ymlVr9AtvqiK2JxzTzB4GhmEQuunjvZtvyYuLhWT5oeNHqH1X+9BtgSCzG9QT9xlojB5zLAiQZ32uYzdzVRn3vewnKk+eeIpjPa4uFeXO88M7bVa7ypgo2YQ6/Tb+t7/ssuRI55Aw+SzSd9vzogm0i6TdzKjZTfcrm/kFEEdWS57PPrU8ASUcwqGN7I8qVga8UCVol9dNLzbqfqd01orvWmMSkB8QSi+ptlaYXcwpgkfottuEdUJ8jUAt2EtM5ADeHro0QQ4NmVOXJ/QZNpNlaakZz3uJOQHu4kxYCyxWVasxEZQwGu3EwsVZlf7yMYZNQx/KbR37L4oWJw+CfjQbf6VsMDkXvqjCRRYPc1RZ3NnBl31p1hMCGi9+QfEyC4f0dexvO0Hn5b7wpq+OrC3PRBVvx7l4rqUF9hldHbmif24gi6oLPND2lF3oabph+K1HADSd1vFb9RlR0woLWI175hw9Ccqky4kQZdsKbwbB4q00C3RSTC0egHkilOHUYiwoMGOfE8l7P73h5ziwch+cy1A2ugddRMHOyQfn4FVjxpcEKmcpQZ7PYVfDQQ//3wya6CD0NJOcC46juTuMSrP/mo9cZFqBAeJMBQ28zheeWkUjO2c3H1fyy5oQO0fGYGIAukiauo1SEhIuEoDPTZtUqvXQ7+FgdiTepxCx7EQY9D+2Yx3Ga3TDTPWnBxKfbTTEKrXjeRdOHF3gFisaa7Og/x1RC5EASShyc6gEroYdb59snAFlGwq/RgbF+xVVW/R0jsw/pACaew+YCtLfvMxj3kELAtqTrSX79HPVMGphNC3Oh3ZIH5IstAKOH2E+iRzzZlt05IP0g8mcShLB0VTZ9C/YhsS/ZJQ04relpQLtxbDFbuurubmA7wea/a5fc1Fxq1y9iQB99dqyJKUC25ALoeECrXsJmnUUHW2bAkIsHWN6chSgLOlX5xKqM1MSyZhAtusTYDGqXS288hqJVUhDQhRVJTNdCvNP010hmpbdmeHtMcnLdz1mwP7HDVoqNH3vBWb80YDI9UP8UKljKTB89YdFENHdKfmOlOW4XhHB2TMLMTaBoNiLVoFI7G3lxm5DmQWaFdoyo6u/yHFOyjOk9fXgM/iSbrD52zLPyLwkteikg+gnj+ScJqFvGb6pNgZIIjyDFeWqgvezayCO+LKdzi76BPxfSCIA1aVrIj92w2OrXLSUDP9LeNf3qqM+nOF0s51QjeoV4X7P3Y4nuTs2cnXOZVkpRfZc7zOoY9nBi2IgvUwLGlgyKqxqycQVPwHfZibWaYZ00spXXjHsYsriFIwc3O0d/ubtvTuSxO9jSIoW1Wyba4WCd78vjRS6Hivt4RT1/zCTPwu8F5n8EM7FDB2Lmg6GI2jQL7WoDod2a5WAlEg//smgOvEc20MQg2I7/H1JN9ihHPt4MVZB33JJGzzDo7PAIRgjX7c7zT0J7yXQ4MQ+HMsbnsDTub7+mD7ipBb4nI7wl4+2Ur0l4LavgoO/wJ9snvA/uQukFLkN1dmzuPGFQpGW2cht1VJgt/CX6+m8WbSoC7j85cRY2se1uoji2h/tQXIzb5v7MbQGmyOV0D4EBsrOqlnNBn4E13An9yF1xC5ra2TdvKCA0VxVEdli3IbiFsqfuBtoW5MIQWQcNpAB6aUx2ak4EW6ljPou76C6kjFKmtOE1i3bk2ohDKlqcgAITUAYY0VON/hiM+x+rI11swaMejXO8ZuyQyUAAXcXfxA/7axdXMkxtte4amdWIMY6LZfrT1u6p6B7leTKxfGi14etQBxdZ17BUTvGdfko508S3SGJvp7A7PNCKjqQcH21u+/GRoDSXv+rYzB9zsNLNfLiQ/Ml+h7fyp9w/XmlTOpRG0Po51hGtXSBoI8z4hFGC+q/b+pBryFHmpRu8HFvnp21YCIDOWl0+FKM/K6fxJnw6wTnstXp59b4dHwyENaeBAT8sNWG+g6d8bhtumHH6hbO62lnyvG3/oAVLFAIqKwBhePf70FgelIUfmP0/TRBa+JxdZZHB5IhoMuE7V9OazqdSdYYWsnVixJ8EqCRxYKJcBHam/UaTCmGFl3avhGPLI8IgOAuHo88qHo/0j9zuOqsWiuPlzSrJ9aDMN9DF7UGp+MW08J2Xss3s65k218tupR0b4So4NF1f4AiNgWr1dWEpe/XGlztvaQFBX3N7xzZzvStEHb9VKoSUN9bYj1IWLFxTknke3XxEU0r6s8qYBN8e27WJEV200uuUtrHqciUYyTod+rYGp6Ja2KeRkxs81SmWQQD6nEX9YlZHx2XLy9yL1SMUOECk/6gdVf60aHju+Mxghvrs9LQt6BxyqD/OXkqOb4JdMxrrNPP16f29p/TC6Wee+LgGRTmo1rKx1s/XW9JaDmvrNmV1J/ZIcJ9cjs4o4efzHtrd09aXvR83gG0VIOL2R15GGlsJL92j3TOR4u7IXZrDeBP1ZjU3V//8D4UYlUx2kRnjk1Znn6MwfdZemJXpmus6jHZ2V9y8BiM+OEz0DWc7wBzr+/RNGCETil4DlMneo8eVrcZsRM5/bUK9YbTwclp4W5AZ1jwrh+8le/9cD+qahbZckOwVjWcxIu+b21HsUAV09pHDmeK1fCbXwYf+0yxafSqm0DXgWMJn6sG1HLIgvb0YgOVo9yDjelPNQLMyRXpBoq5u5QOk9LL0Yno7pAVxhsqQROdkTgFSoh145B3SmIm/AWgZNxWKnT0CMEl/IzTBF6MCdh0cVavrml15Yp2cwe/xa+tza3xwm2QaaHACKbfopXf5UTYLLgE/7a8f0iU61dDnDwh29XcIqOUoSAbkOHYM1NqNRp4zEFKXRcxLyIJVUiRLMGv7mzaONj7bMUxhoUJCc7+xwydiLhM3yK+iGZCO0gibre4+hDJWe13zw28tGzoYNAos5uQJsAsAj36EThMAJXKODYnSsPbFHkFWPG722q8x+hWW8ZSwzuIe51AaimpIHNGZfT2XJ5umhpwKxaaIe5tEQCafuX5OWGN0Uo9tau3Ed07nn5SnR1Jy8VAfEqW/z2itz4fW5mM/lsPoCrTDUlShA+KQmdBsc9xH987Kr6hCFK3Fwzmy0jYlLbaI0nCy7jz/UDHJRCAZUuwrfXdxCtOChHzmQykTLmPwjnvYZXZHoVzf8z4aMay4jtrUzzUzs9eR4DzsVA9CkuCZNLwxF30qKZTxVpYhJdBG32UMhOfwpvD0027bLB713nt8WC6RcJxgE7cEvx6HZNp1bFix1tbkYFqU/acrlZWhSIrGPKYmza9ZlvEJwuBgGk+P6FYYyzOjcyXaHKVczjgT/pOTPhtZlWg/he50zYywc5lYzggbVnH3ufdXV7h5nQ73zlxNTAmjtW+djPDjGeU4mZYHu3wS5gup9um9/3gRFr+mF0bW3nKoVZtFJ6uFy/6TxCB1WWYeLpx6pHNK8egT4koD83BEB74FTc+/+j1W6MxhjhDfN7FnAmLVoTjzdsf7+ZzNlZVfffZAUZYYj6MaNdkh8NGwKMe2YoTLc1oQvXCoY3Pdk4mi+9tiKDTi34/l38Iaybgpm0usCH6nupIBddKkpVvxL/DghaVCxOc/yocjISo0DkKYJQ6IR78gpVold/z5Dp5zrYl07VIjV8TRF1wrtEnOGHTmPbM+JaPVz7IvqvAAR9TnAIGbhgy8y1vpaqBGe7gwyar1ozrnMejGm9D/RuzDF8S0f72WmyXyL0KT+YIh7C+Rqczz0RTaiU6JVHTYoSX6aVJ/rJUnIsMCovFlbhhlEu7KweLqzLT/xtYbgR/mW0UcE5zGAidR5r56xJ0mkQoaieoW+hi6oLsqM+Xp/eOeOBniDFqHj5qlqRzC+lSZIiSDTHGeKOgY87Oe4ClI2mUBvc35fPhBkSsRgQCI5W8Xsn9XiOXxMY2lBgbg764ywKlc2lEnBHtgYBY8D9fpBsHNiIOBVKNuJ+zdiv12xefVlsusk0Nx4naEB/eaip3aPYok2ILEyMTFP07zTYI36fQdT+ZntsFGwuzLD5hCW1Hh9ImeRZvCrGfevhx7tajz6FQWlU7flp8Zjx9Om/Wki0caxaU7DCqyMk0MZIOWEELKJjKdXfpNM0G8+F2sQeOy/eR147ighIG8XcqHOlNqW44V4pa772HNedQ5Ej0sCZQ7AqiSKclDFQD0I0zQ67dtENSofdSlm8LvWzkhvMcpQqxoyjQq+zPq76PtJlf+nyYXi3DA8hoWiHWQOlOQYzkSAtti2KMblJ1atNVklNtcLq2S7r2dP+JUbpnAeadFmiAqLAWXSM2VpO9clWrJxsGK5z3m0Yw9XzM44IX6hE5J585ZUCsXKnf79qfZO89wJXTHhguKtCxlpCI1TcaEb+HnsrqLCYfXHPRDRslg/wEx2hXXnFvuqpKbXEC7dECxyQHsPXj4hO6jji2pj3XLW8bB1OznS6q83OYkLYVH5PRBiO9XcPW/ob25DG8iGEAxqKFX57MwMlxuQiPZWLhxdXV6PKAdRShrMDf6RVKY9bNHJEVDBh6PnKub6U5EFQjHOHMKSpwWQjoXc+woeVLEoAMa6bqZtXehZLU5u7+eCCjNtbc8iLvsoerx1CinL6LNrD5jL+upfrxGrkx+Xs5+QOwW7t7vtrTETm4DIKrckgay1lqi4uLcjfxYe+silORB/09ElOKp4Ezr5Zh7wsebqenjn+um38bDCCSw3J3n0FnAvT0pzLbtjj41LFt5Oof3BBhGdERkRaM/YyoMDAxguPxa5US6nzVzzERE6Wr3jf0CMuanvFe4MQHgCAHWu5dV433E22d3+DooNQf1sCPZwSoz/U04b8qnSSWBRBlixA2ss7pH/ShD9WS+sLhnoGvothkIOi7OyT2oXsLsKnxz8tYlGWfDpyNmRvHlmOaPmIaC2OjYr7OQYK1TG53fq9J88cfPdar6BMhE2Dxhh1df7p0ZhNCi4loJjbT+WxldcV9f/3lhV95G89bnAGEKCrt+TDCw00jqXOxC7vOL8z4pIpZ1Sk1CHQx+ADxixIaCDinuTlA/FpFaoIis0uM96wCU2enp+6N5emyELRCjMAdCTa8+BebYeLsa+sD0UN7x9uAvlsSNxGQe/QUfwb7WDlrrbroAfo0ygDlnc//s8hQXJrHapFva5ncXi+tfAAjm+wrPeb4p2spPpcdlyn+fz/HeQQY4ffw0iPat5f6xfhirc9Ereq1ORpsiEzAPBJ7cE6YTCVJT4S5VpUtG9pGn5x5bSkBUTqHpB333WSULJGTKsFsFpcCUjuGopzdbukU6GFoPDq2WSSauXqillBtCb3z8gmukVECf5b/CE3TUiV6Vo3dYlJynFWX1quuGMjU31zr6Wy+Sd4NUXhmPFoR4iU6p2d3+LPrXMh1whC+OQdOXlyMa5mm7xez8ettmRrEVn1D8Ngs+pcFY+9divmnKothcZbWJ/VmrUykbxx2OKImpfKF4DNN/PaEpepE/dgGJ+HMR/L3Bv4fX4iu5W54iI+RK54a46KaTMMEpa3X+/Egwuh4CQJzqqE3GKPi2DI/ynPAd6SxtwdCFyeU5pwPpRoFyf/8gUT18RUGABwtV2gKg3c7AbdWb12WxbJ+gc8a/y7RsJTxGYai2CrGCsKTzillgid5gGBkCeyKTCFv4try+YmeU7SKQduAkjpD/v/gCrMfXw/OLng/bl/2uMpk5aN3dQ+3wCBrO4MtDWe6nRxtspM/8laT+giWQsVhFy9lWttSWJeM2WdFLyTVdkrUfX7dSP1q97+eWkcTTSM7e0mA5OMxe+kFk8r1fUYJb0nDurAJd1ucyfGSHaYbL0KLDUrdpQ16Oea759dn3KJY5ELjjIZjRyyMVHGQ0n8AQ4PmZEzBrrps1BkHw5MvyFG2j7Tk9Z8o6QY4PkZnBHpSAM+QvcyJUfyaJb4XzTXX1xtKMlkDHOphlTnzj0drqbbTjLT8HYFnFmq/Ua+xLZz9xUzPTIZuNBb431Ny3901/Ff4FO1h20KjMGWBUuCunXFNc+GbLlejHpgkFIPe0H9AN6QKP5UbrMxEkPLydjBZFf9KXOH8JKdjKZ3PuVo9FBHtdrWqZeXJ2VjoFJxLgzfs23gVH8ATSvQ6E0zIXye1w0uIFYNeoAOcZTqQGJ7ZgSWFYZJBnNJoEBmSC9GDeHxswws1BLGaTw6Oov+AbRW9bCHkFCdElnVQJyhvAOVaHqRSJibM2kcpXbX/lPr5d1xT681XvYubm/oodkvUmtx2/2VGQAtC2wlFE9xFINJ0tDf4KiCsgUsruyTL/Dxfa20vmu/9LDgG7jVbjl2j0BArJiRKFuOesosMetrhAfUeT+VkEjJCZMUbdt2o/pEi7pfCcvwH6NtsijCrwXrQDcqO+2vcHjrH3bMhG9lgAAAA==)

Figure : Thermal test setup

![](data:image/png;base64,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)

Figure : Setup 1: Heatsink – only baseplate

SOM + interposer can support up to 7.45W at 95C Tj limit with above design.

![](data:image/png;base64,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)

Figure : Setup 2: Heatsink – baseplate with fan

SOM + interposer can support up to 11W at 95C Tj limit with above design.

## Test scenario - example 1

- Power supply: 4.2v for SOM and interposer, 12v for others
- Power Mmeasure : SOM power and interposer power
- Ta setting : 25C with a temperature chamber
- vML for GPU and HTP is running Tflite+QNN
- v5Camera is 3xIMX577 720p30fps preview + recording，2xOV9282 720p30fps RDI
                        dump

## Test case

Sample use cases for test case example 1.

| Area | Test cases |
| --- | --- |
| Case1 (5camera+2 AI + Iperf3+Display+BT+wlan<br>                                    wlan+Audio) | IMX577 camera1\_720p@30fps\_preview+recording |
| Case1 (5camera+2 AI + Iperf3+Display+BT+wlan<br>                                    wlan+Audio) | IMX577 camera2\_720p@30fps\_preview+recording |
| Case1 (5camera+2 AI + Iperf3+Display+BT+wlan<br>                                    wlan+Audio) | IMX577 camera3\_720p@30fps\_preview+recording |
| Case1 (5camera+2 AI + Iperf3+Display+BT+wlan<br>                                    wlan+Audio) | OV9282 Camera1\_720p@30fps\_\_RDI\_dump |
| Case1 (5camera+2 AI + Iperf3+Display+BT+wlan<br>                                    wlan+Audio) | OV9282 Camera2\_720p@30fps\_\_RDI\_dump |
| Case1 (5camera+2 AI + Iperf3+Display+BT+wlan<br>                                    wlan+Audio) | 2ML QNN running on HTP(Benchmark) |
| Case1 (5camera+2 AI + Iperf3+Display+BT+wlan<br>                                    wlan+Audio) | GPU run with Weston sample |
| Case1 (5camera+2 AI + Iperf3+Display+BT+wlan<br>                                    wlan+Audio) | Iperf3 1Gbps via ethernet |
| Case1 (5camera+2 AI + Iperf3+Display+BT+wlan<br>                                    wlan+Audio) | HDMI with Weston launch |
| Case1 (5camera+2 AI + Iperf3+Display+BT+wlan<br>                                    wlan+Audio) | BT paired |
| Case1 (5camera+2 AI + Iperf3+Display+BT+wlan<br>                                    wlan+Audio) | WLAN connected and Ping |
| Case1 (5camera+2 AI + Iperf3+Display+BT+wlan<br>                                    wlan+Audio) | Audio playback over speaker |
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| Area | Test cases |
| --- | --- |
| Case2 (5camera+1 AI +GPU GPU+Display+BT+wlan<br>                                    wlan+Audio) | IMX577 camera1\_720p@30fps\_preview+recording |
| Case2 (5camera+1 AI +GPU GPU+Display+BT+wlan<br>                                    wlan+Audio) | IMX577 camera2\_720p@30fps\_preview+recording |
| Case2 (5camera+1 AI +GPU GPU+Display+BT+wlan<br>                                    wlan+Audio) | IMX577 camera3\_720p@30fps\_preview+recording |
| Case2 (5camera+1 AI +GPU GPU+Display+BT+wlan<br>                                    wlan+Audio) | OV9282 Camera1\_720p@30fps\_\_RDI\_dump |
| Case2 (5camera+1 AI +GPU GPU+Display+BT+wlan<br>                                    wlan+Audio) | OV9282 Camera2\_720p@30fps\_\_RDI\_dump |
| Case2 (5camera+1 AI +GPU GPU+Display+BT+wlan<br>                                    wlan+Audio) | 1ML QNN running on HTP(Benchmark) |
| Case2 (5camera+1 AI +GPU GPU+Display+BT+wlan<br>                                    wlan+Audio) | GPU run with Weston sample |
| Case2 (5camera+1 AI +GPU GPU+Display+BT+wlan<br>                                    wlan+Audio) | HDMI with Weston launch |
| Case2 (5camera+1 AI +GPU GPU+Display+BT+wlan<br>                                    wlan+Audio) | BT paired |
| Case2 (5camera+1 AI +GPU GPU+Display+BT+wlan<br>                                    wlan+Audio) | WLAN connected and Ping |
| Case2 (5camera+1 AI +GPU GPU+Display+BT+wlan<br>                                    wlan+Audio) | Audio playback over speaker |
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## Thermal profile summary – test case example 1

Table : Setup-1: Only base plate heatsink thermal solution

| Case | SOM Power (W) | Interposer Power (W) | Tj\_Avg (℃) | quiet-therm-usr (℃) | Comment |
| :---: | :---: | :---: | :---: | :---: | :---: |
| CPU drystone 30%+1GPU+1HTP+5camera | 4.87 | 2.04 | 78.75 | 68.89 | No trigger LMH |
| CPU drystone 45%+1GPU+1HTP+5camera | 5.31 | 2.03 | 84.48 | 72.60 | No trigger LMH |
| CPU drystone 60%+1GPU+1HTP+5camera | 5.39 | 2.06 | 86.33 | 73.91 | No trigger LMH |

Table : Setup-2 : Base plate with fan thermal solution

| Case | SOM power (W) | Interposer power (W) | Tj\_Avg (℃) | quiet-therm-usr (℃) | Comment |
| :---: | :---: | :---: | :---: | :---: | :---: |
| CPU drystone 30%+1GPU+1HTP+5camera | 4.31 | 2.03 | 52.6 | 44.50 | No trigger LMH |
| CPU drystone 45%+1GPU+1HTP+5camera | 4.6 | 2.03 | 55.27 | 45.87 | No trigger LMH |
| CPU drystone 60%+1GPU+1HTP+5camera | 5.77 | 2.02 | 64.37 | 48.83 | No trigger LMH |

Note:
- SOM power includes: SoC, PMICs, memory (RAM+FLASH), Wifi, GNSS (if
                        used)
- Interposer power includes: QPS615 PCIE bridge chip, PCIE to USB bridge chip,
                        Ethernet PHY chips for2.5GbE/10GbE (if used)

## Thermal profile summary – test case example 2

| Case | SOM@4.2V(in W) | Interposer@4.2V(in W) | Ta | Tj start | last5min\_ Tj\_Avgr(℃) | Tj\_ Max(℃) | LMH | cdsp loading | GPU loading | CPU loading | Comment |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 5Camera (3xlMX577 720p30fps preview + recording,2xOV9282<br>                                    720p30fps RDI dump) | 6.12 | 2.07 | 26.20 | 33.90 | 91.49 | 95.0 | Yes (Triggered five times during last 5 mins and<br>                                    then recovered) | 97.22% | 91.08% | Total CPU Util: 64.67% CPUO\_Uti l:83.87% CPU4 \_<br>                                    Util: 54.23% CPU7 Util:20.52% | 1.Test duration: ~40 min |
| 2 QNN run on HTP | 6.12 | 2.07 | 26.20 | 33.90 | 91.49 | 95.0 | Yes (Triggered five times during last 5 mins and<br>                                    then recovered) | 97.22% | 91.08% | Total CPU Util: 64.67% CPUO\_Uti l:83.87% CPU4 \_<br>                                    Util: 54.23% CPU7 Util:20.52% | 1.Test duration: ~40 min |
| 1 QNN run on GPU | 6.12 | 2.07 | 26.20 | 33.90 | 91.49 | 95.0 | Yes (Triggered five times during last 5 mins and<br>                                    then recovered) | 97.22% | 91.08% | Total CPU Util: 64.67% CPUO\_Uti l:83.87% CPU4 \_<br>                                    Util: 54.23% CPU7 Util:20.52% | 1.Test duration: ~40 min |
| cpu dryston 95% | 6.12 | 2.07 | 26.20 | 33.90 | 91.49 | 95.0 | Yes (Triggered five times during last 5 mins and<br>                                    then recovered) | 97.22% | 91.08% | Total CPU Util: 64.67% CPUO\_Uti l:83.87% CPU4 \_<br>                                    Util: 54.23% CPU7 Util:20.52% | 1.Test duration: ~40 min |
| BT paired | 6.12 | 2.07 | 26.20 | 33.90 | 91.49 | 95.0 | Yes (Triggered five times during last 5 mins and<br>                                    then recovered) | 97.22% | 91.08% | Total CPU Util: 64.67% CPUO\_Uti l:83.87% CPU4 \_<br>                                    Util: 54.23% CPU7 Util:20.52% | 1.Test duration: ~40 min |
| Audio playback | 6.12 | 2.07 | 26.20 | 33.90 | 91.49 | 95.0 | Yes (Triggered five times during last 5 mins and<br>                                    then recovered) | 97.22% | 91.08% | Total CPU Util: 64.67% CPUO\_Uti l:83.87% CPU4 \_<br>                                    Util: 54.23% CPU7 Util:20.52% | 1.Test duration: ~40 min |
| lperf3 100Mbps via wifi | 6.12 | 2.07 | 26.20 | 33.90 | 91.49 | 95.0 | Yes (Triggered five times during last 5 mins and<br>                                    then recovered) | 97.22% | 91.08% | Total CPU Util: 64.67% CPUO\_Uti l:83.87% CPU4 \_<br>                                    Util: 54.23% CPU7 Util:20.52% | 1.Test duration: ~40 min |
| lperf3 1Gbps via ethernet | 6.12 | 2.07 | 26.20 | 33.90 | 91.49 | 95.0 | Yes (Triggered five times during last 5 mins and<br>                                    then recovered) | 97.22% | 91.08% | Total CPU Util: 64.67% CPUO\_Uti l:83.87% CPU4 \_<br>                                    Util: 54.23% CPU7 Util:20.52% | 1.Test duration: ~40 min |
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| Case | SOM@4.2V(in W) | interposer@4.2V(in W) | Ta | Tj start | last5min\_ Tj\_Avgr(℃) | Tj\_ Max(℃) | LMH | cdsp loading | GPU loading | CPU loading | Comment |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 5Camera (3xlMX577 720p30fps preview + recording,2xOV9282<br>                                    720p30fps RDI dump) | 6.12 | 2.07 | 26.20 | 33.90 | 91.49 | 95.0 | Yes (Triggered five times during last 5 mins and<br>                                    then recovered) | 97.22% | 91.08% | Total CPU Util: 64.67% CPUO\_Uti l:83.87% CPU4 \_<br>                                    Util: 54.23% CPU7 Util:20.52% | 1.Test duration: ~40 min |
| 4ML QNN run on HTP | 6.12 | 2.07 | 26.20 | 33.90 | 91.49 | 95.0 | Yes (Triggered five times during last 5 mins and<br>                                    then recovered) | 97.22% | 91.08% | Total CPU Util: 64.67% CPUO\_Uti l:83.87% CPU4 \_<br>                                    Util: 54.23% CPU7 Util:20.52% | 1.Test duration: ~40 min |
| 2 QNN run on GPU | 6.12 | 2.07 | 26.20 | 33.90 | 91.49 | 95.0 | Yes (Triggered five times during last 5 mins and<br>                                    then recovered) | 97.22% | 91.08% | Total CPU Util: 64.67% CPUO\_Uti l:83.87% CPU4 \_<br>                                    Util: 54.23% CPU7 Util:20.52% | 1.Test duration: ~40 min |
| cpu dryston 95% | 6.12 | 2.07 | 26.20 | 33.90 | 91.49 | 95.0 | Yes (Triggered five times during last 5 mins and<br>                                    then recovered) | 97.22% | 91.08% | Total CPU Util: 64.67% CPUO\_Uti l:83.87% CPU4 \_<br>                                    Util: 54.23% CPU7 Util:20.52% | 1.Test duration: ~40 min |
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Test results subject to change with different design and total system power.

Note:
- SOM power includes: SoC, PMICs, memory (RAM+FLASH), Wifi, GNSS (if
                        used)
- Interposer power includes: QPS615 PCIE bridge chip, PCIE to USB bridge chip,
                        Ethernet PHY chips for2.5GbE/10GbE (if used)

## Test case example 1 and 2: detailed summary table

Table : Internal thermal test results on QCS6490 RB3 Gen 2 platform

| **Iterations** | **Usecase** | **System Power**<br><br><br>                                    <br>**SOM+Interposer**<br><br><br>                                    <br>**(W)** | **SOM power**<br><br><br>                                    <br>**SOC+PMIC+DDR+wifi+Gnss** **(If used)**<br><br><br>                                    <br>**(W)** | **Thermal solutions** | **Ambient** | **SOC temperature**<br><br><br>                                    <br>**(℃)** | **LMH triggered** | **Test duration** |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Case 1 | vML for GPU and HTP is running Tflite + QNN<br><br><br>                                    <br>v5 camera is 3xIMX577<br><br><br>                                    <br>720p30fps preview +recording, 2xOV9282 720p30fps RDI<br>                                        dump)<br><br><br>                                    <br>CPU drystone 30%+1GPU+1HTP+5camera | 4.87+2.04 = 6.91 | 4.87 | Baseplate heatsink | 26 | &lt;95 | no | -- |
| Case 2 | vML for GPU and HTP is running Tflite + QNN<br><br><br>                                    <br>v5 camera is 3xIMX577<br><br><br>                                    <br>720p30fps preview +recording, 2xOV9282 720p30fps RDI<br>                                        dump)<br><br><br>                                    <br>CPU drystone 45%+1GPU+1HTP+5camera | 5.31+2.03=7.34 | 5.31 | Baseplate heatsink | 26 | &lt;95 | no | -- |
| Case 3 | vML for GPU and HTP is running Tflite + QNN<br><br><br>                                    <br>v5 camera is 3xIMX577<br><br><br>                                    <br>720p30fps preview +recording, 2xOV9282 720p30fps RDI<br>                                        dump)<br><br><br>                                    <br>CPU drystone 60%+1GPU+1HTP+5camera | 5.39+2.06=7.45 | 5.39 | Baseplate heatsink | 26 | &lt;95 | no | -- |
| Case 4 | 5Camera(3xIMX577<br><br><br>                                    <br>720p30fps preview + recording,2xOV9282 720p30fps RDI<br>                                        dump)<br><br><br>                                    <br>2 QNN run on HTP<br><br><br>                                    <br>1 QNN run on GPU<br><br><br>                                    <br>CPU drystone 60% | 6.12+2.07 = 8.19 | 6.12 | Baseplate heatsink | 26 | 95.8 | yes | 40min |
| Case 5 | vML for GPU and HTP is running Tflite + QNN<br><br><br>                                    <br>v5 camera is 3xIMX577<br><br><br>                                    <br>720p30fps preview +recording, 2xOV9282 720p30fps RDI<br>                                        dump)<br><br><br>                                    <br>CPU drystone 30%+1GPU+1HTP+5camera | 4.31+2.03 =6.34 | 4.31 | Baseplate Heatsink + Fan | 26 | &lt;95 | no | -- |
| Case 6 | vML for GPU and HTP is running Tflite + QNN<br><br><br>                                    <br>v5 camera is 3xIMX577<br><br><br>                                    <br>720p30fps preview +recording, 2xOV9282 720p30fps RDI<br>                                        dump)<br><br><br>                                    <br>CPU drystone 60%+1GPU+1HTP+5camera | 4.6+2.03 = 6.63 | 4.6 | Baseplate Heatsink + Fan | 26 | &lt;95 | no | - |
| Case 7 | vML for GPU and HTP is running Tflite + QNN<br><br><br>                                    <br>v5 camera is 3xIMX577<br><br><br>                                    <br>720p30fps preview +recording, 2xOV9282 720p30fps RDI<br>                                        dump)<br><br><br>                                    <br>CPU drystone 80%+1GPU+1HTP+5camera | 5.77+2.02 = 7.79 | 5.77 | Baseplate Heatsink + Fan | 26 | &lt;95 | no | - |
| Case 8 | 5Camera(3xIMX577<br><br><br>                                    <br>720p30fps preview + recording,2xOV9282 720p30fps RDI<br>                                        dump)<br><br><br>                                    <br>4ML QNN run on HTP<br><br><br>                                    <br>2QNN run on GPU<br><br><br>                                    <br>CPU drystone 95%<br><br><br>                                    <br>BT paired<br><br><br>                                    <br>Audio playback<br><br><br>                                    <br>Iperf3 100Mbps via wifi<br><br><br>                                    <br>Iperf 3 1Gbps via ethernet | 8.56+2.31 = 10.87 | 8.56 | Baseplate Heatsink + Fan | 26 | &lt;95 = 85 | no | 40min |

## FAQs

**Q**: How to assign power in thermal model of chipset?

**A** : For all Qualcomm chipsets, thermal models are available in Icepak(.tzr)
                and flotherm(pdml) format. Assign the power to the heat source in the thermal model.
                The dimension of the heat source changes with thermal model.

**Q**: What are the use cases that need to be considered for QCS6490?

**A**: See the thermal power projection table in  *QCM6490 and QCS6490, QCM5430                    and QCS5430 Technical Reference Manual* (80-20659-5) for all the high-power
                use cases. CPU intensive (Drystone) is the worst-case scenario.

**Parent Topic:** [References](https://docs.qualcomm.com/doc/80-70014-251/topic/references.html)

Last Published: Jan 28, 2026

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