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Please apply all the exact, described changes in the original source code reflecting the CSS changes and user instructions **only targeting the specific elements in the JSON and the screenshot**: ```json {"edits":[{"type":"style","element":{"selectorPath":"section#about > div.mx-auto.max-w-6xl > div.mt-12.grid:nth-of-type(2) > div.flex.flex-col:nth-of-type(1) > p.text-base.leading-relaxed:nth-of-type(2)","tagName":"p","classNames":["text-base","leading-relaxed","text-muted-foreground","text-pretty"],"textContent":"My engineering background provides a strong foundation in networking and communication infrastructure, while my cybersecurity work focuses on understanding how systems communicate, how security weaknesses can be identified, how events can be monitored, and how practical defensive architectures can be designed.","reactComponentName":"p"},"changes":{"textContent":{"from":"My engineering background provides a strong foundation in networking and communication infrastructure, 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3c:o9,129:T74b,3c:o74b,The user has requested a refinement of the following design tweak results, defined in the following JSON format with an attached screenshot. Please apply all the exact, described changes in the original source code reflecting the CSS changes and user instructions **only targeting the specific elements in the JSON and the screenshot**: ```json {"edits":[{"type":"style","element":{"selectorPath":"section#about > div.mx-auto.max-w-6xl > div.mt-12.grid:nth-of-type(2) > div.flex.flex-col:nth-of-type(1) > p.text-base.leading-relaxed:nth-of-type(2)","tagName":"p","classNames":["text-base","leading-relaxed","text-muted-foreground","text-pretty"],"textContent":"My engineering background provides a strong foundation in networking and communication infrastructure, while my cybersecurity work focuses on understanding how systems communicate, how security weaknesses can be identified, how events can be monitored, and how practical defensive architectures can be designed.","reactComponentName":"p"},"changes":{"textContent":{"from":"My engineering background provides a strong foundation in networking and communication infrastructure, while his cybersecurity work focuses on understanding how systems communicate, how security weaknesses can be identified, how events can be monitored, and how practical defensive architectures can be designed.","to":"My engineering background provides a strong foundation in networking and communication infrastructure, while my cybersecurity work focuses on understanding how systems communicate, how security weaknesses can be identified, how events can be monitored, and how practical defensive architectures can be designed."}}}],"instructions":{"message":"","element":"section#about > div.mx-auto.max-w-6xl > div.mt-12.grid:nth-of-type(2) > div.flex.flex-col:nth-of-type(1) > p.text-base.leading-relaxed:nth-of-type(2)"}} 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pa27doPbgnmgnaeQxJ0VqjxosRa4yG1su/DoDiNyz0XgH9T0qRcpMO3aa03Oj2a3Kkvpe3+I3vCtqgOQTyfU5qA3qqFFg3WHAsbTUeeE5S5IWspIJPJ4yM4wBjGO+a13PUFrn2m2QFWmU23BJ2qTOBKwo5UD+H38+3rTE1ZZ2nLedc3R34ZsQIkH49UZBwlZ2AhPondk1F09dFXDRurkuRYTC0sNkKjx0tZBXylQSBuAwMZyahS9dbtSN3eHbvBKmfh5Ed17xW3m+Bj8oxwPX/YxI2p4EGHdYtvsiW2Z6EpUl6Upzbgk44Aynnp19T0qKr1sUhNwjl1lDyCsAocztUCR1wR/WvR5Uq1RPtCfsblhtq7fIeQytXhZcTuSOUq/dxnsO/JzXm8Abp8cJHJcSAB/qq/a4u8S169mShalKuTBSptxx4+EVbBhZb25JHHRWDgVVfDEOBabZqxC7fEku2yUhDLjoKicuEcnPQYAwMZ5BzURzwFaal6nRbIDUl6UiM0wlkFlkBIJVsIIyfUYrnW7UsRiy3OFOt8iW7cVhb74lhByFbhgbDjn3qLZNQfA22ZbJsUTLZKO9TXieGtCx0WlWDg9OxFQduX8K9pa36mjwoTU9mUYz7QZT4L/G4Et9M464x1zU6/RWHNQ2i7wokFuyvRvidiIrYbSlI/EQoAYJycDPOTgdKp91vAk2+PboTBi29lanQ2pe9S1nqpSsDJ7dBxWxOopSdKqseAWC/4oWTyE90exIB+lB3dPLi3W06slSLdBS6iN4rSkMhJbycAJA4HGO1aLg03prTtldYjQ35twbMh12S0l0BAI2oSFZA6nkYPrULTeoIlotVyhv29+Sqe34Tq0yg3hPbA2Hn1zX0nUrEiwx7ZeLcZiYpPwr6Xy042D1STg5H6VUXC/W+PfNX2wyW0Iit2ZMpTWTtASCQk4ycAkcDJqvzH7JI01Obmy7Uq5IUHIa7fDcZJ/iQrLSQRjoVZPnWmVrd5V5t1xhQI8Z2GyljBUpYcQAQUkHjacnjGfWol61Db5TLybVYY9tefGHnkvKcUodSE5xsBPXHWmKsKorT9uVIsUO2XK1JhlLjKGUGVHXswXFZAUcK5yCRjtXnje0uICgopJ529xkZx64q1jVUKPcVXK32hce4lot7zKCmslO0rKNgye+N2PSqxFkLjTGpLYSXG3A4NwyMg55HlUHpsO3RJ0u6xHrZAiQPgFOxYrjTYmIISMLUU/MOf4iOoxxXlhxyFHIzg9avI1zDRfJNzasSEvS2ltSMylEq3AAlPGE9PI+mKpLy0uOrUhtLSSTtQkkhI8skknt1oPQjFaetypFihWy42tMMpeZbZb+Kjr2crUSAs4V3yRjtxUa5XN8fZpY1KbiOBT7zRCoqD8gA6HblJ/wAwwT51AGqoTFxVcrfaFxriWi3u+JCmslO0q2bASfTdioTeoWFaabtM22pkFl5brT3ilO3d+bKccny5wPI0Hfv82DaYFlMex2ta51sSXCtsnClZwpPPByM5JJ9a0agMfSV4h25u3wZLCGW3JJkx0OKfKvzEKIykDkDaR0zya5Wp7/CvMG3ssW5+M7CaDKHFSg4FIHmNiec98/StknU0a5R4P31bDLlw0BtDyH/DDiE/lS4nad2PQiqi0t2K2W3WN6g/BsyIn3auWyHSStvgEJzn/vyxXEWYt1+z+4zF2+DGlQZLSW3GG9iihXBCj1V55Uc1HtWsAxdrlcrlCcmSpjSmPkkBpLaCAMAbVcgDAOa0xNQW+Ppy4Wdu2SimY4Fl0zRlJB+QY8PnHfz56ZoLBGYYtkrSbMG2w50Oc22p9b8dDxdWpRChuIJTtHZOMY586qmt1snVM9ERDCYzLymmgyyhtO0HvtAz7nNXV50WiJDtkq0XtBSwhLirbKWlh8q5JwkYUST1HfIqiaohQ4NyS1AElDamkrUzJx4rSj+6rHHHX64PNOnFm0POea0jqhKW4xDDDZTujtKzlSvzZT8w9FZx5VEW0LXpCJfBHivTrhJcG9xhC22kpzwlsjaMnPbpwKh6d1DBtVkuEB+2PyVz0Bt51MsIwkEkbU7Dg89STWuDqJpuzv2edCVLtanS8ynxtjrCvML2kHj/AC474qCzNxoTn+Fr3FhQmlXCR8JKimOlbSiFAFSUKBA4HbHWvuyxYn/iBqK3qgwlQwiQtLa4zZKCnptyPlx6VUJmoHXHbaIbIjxbcQqOyVFfO7cSo8ZJI8hXca1vEYvsi6xrE2iRJQsP7pKjuUoAEjgbRx06+tXE18W1cNn7Pn7gu1w3ZbFwShLjiSrIKM/Nk9PTIHHSulLsUS+3LSKm48eGbkyfiUxkhCDsPOEjpkCq+3qG3p0w9aPup5PivfE+KiXja4BgYSUHjHYk9+akS9YNhiyfdkB2LItPDDjkkOhSTyoKTsGc48+hNMNWHQ11Q5rObDZgQ2IyGn0s+GwlLiAkEZKwNxJHXJ79q4GnkpRp9C40GIh4SsPzrgyhbHhgfK2neDk5ySEpKuRzX3F1jAiXxy7RrClEp5Cw6kyiUFSh8ykp28Z7jJ9Mdaho1NEXYGbbMszLvwzq3Yy0PrQlBV1BHJUP/V/2xV0trTVn+1eVEtzbLMV6MpwoSgHH4W7CSrJAzzx7elVjRqmbqb+qfCguPItrrqFpYSjYoAAEJSAke+M+tfL2twvVUe9JtbaFpa8J5sPH8UFG084+UY6DHHrWiyamt1qeuK27M6Uy2VRwhMzGxtXXkoJKs856elQfSIrdm0XCvDceO/MnPrQlx9pLyWUJ4wEqBTkkHJPauq/Ct0lrS97RAip+OkCNKi4IaUoKwVJSDgDHbpz0qu2/ULTVmes8+EqXbFO+KykPbHWFdMhe0jp/lxX2jUjQn2srhL+7radzEVD+0lWdxUpe05JPXgccVcTVtgtQJmtb1YDaLeImH9qwz+IlSRkKCv3fYYGPOvLgB7+9XSHrCBF1RLvabO+p2QhSS0Zo2pKvzY/D6eQ7edVGQppT6ywhaGColKFLClAeW7AyfXFRVwv7UJiw6SlNW6GgvpcLyEpwlwhYA3HOT9SasGy2p+0xdiRZbcYT+EryxlaT4WQUH93ny96qlw1JbJtus8Ny0yUt24nBE0ZcBOSD+HxzUs6ygnWCNQ/dD/xCR+yM0FBVt2g/s/LPHmaqap8trwJT7I5Da1I+gNXW5Sodu01pudGs9tXIfS9vK2tyVbVAcg9T6nNU65vsyp778dlxllxZUG1ObynPUbsD+ld65agtk60Wu3rtUpCIGQlaZwysKOVA/h9+3l61FWS5adtx1tdFhuOzEjQfjg0rd4QUUjqEgq2AnPANcqdMtCtOFxcq1OX2O8HIqoUFTaXEcZStKm0oOOSM5+vOfmbrkr1K1eIVv8FXghh+O894rbqBxjG0Y4A8+grl3y+wJbDjVnsjFrDxBeWl1Tql4OQAVcJGecAdQKuCz64vioes4SpUWDKipaYW6h6G2veCgZ+Ypz/PFdGJBjx9cXKLJhWs2uW2lUVx2G0UoKwA0EfL55GOnykmqNqe/s30MOG3oYmJaQ068HSrxAkYGBj5f51ruGpJky1WmESEC3/kcT+ZWD8uf9IOB7morppYfi29VtlRoYnXGcWkrVGRvaCTtWpJxkZUQBjptOMZroTHIVo1qmwm1w3bUhxEZYcYSXVAgZX4n5grnOAcdOKrOpb/ACb7eTcXh4TgCQgJP5MDsfU5Pua6cvVcadPjXSdaUu3hkJJeS/tadUnG1S29uTjHZQzQdxi1W60r1lFdgxpgt7aVsuODKsFWQCc8DnBxgms6SkJ1BH1OlEe32wPQWmcMjw2UndjefLrz/wA81wLTqmPHjXdNygPzpF04feEoN8Zz8o2HBzzWvT2oYNptlziOW1+QZ6PDWsSwjannGBsPPPX+VEbNTSnLW4LGq2xGhFwh152M2HXucglaRlIPbBzjHNda+RoLGo9JBq3RAzJix1OtJRtSpSlck4wSfUk/WuVcdSwLnZYMK4WuQ9Jhp8NEwTAHCgHhJ/DwQBxzz61tn6qt0y5WeWq0SUi2oQ2hsThhaUcpz+H19auJqwwWoEzWt6sBtEARCJG1YZ/ESpIyFBXb6YHuetcssdmNoeddYsdiVckSktL8ZlLwZaIzu2KBHJ4zj9OtboesIEXVEu9Js76npCVJLRmDakq/Nj8Pp5DtzXQ08UWzTi5ybTdFx5klRbfgSVJebQkY2rWkAdc9QM8mioP2jusFqzIjw4URx2Il+QyxHbQULPTnG4cds1y9HNtrfm5t5myExyWCtCVNMq/jc34SEgfxcdOKkavjwVxG7hHZukaW67hTVwXvLgwSFJJ5xnz86h6avzVoYuMWVBTNiTmw24kOFtQwcghWDj2x2FFWLUMOKxbNMXFUe2uyXXFtPmMjYy7hQHRISM+3B9RXWbbtp+0qVYRZrf8ABPZQT4OXEnwsgpP7uCOgxVWd1VCfttvgvWVIYhPLcQGpKgcKOccg85AyeeM4AzkSRrGANYHUP3O/8QcktfGjZuKduf2fl2ozrTEgM2bSb95LEd+Y5MMRjxkJcS0Eg5O1QwSfWpesJXxmgNMv+AywVLfyhlAQgkEcgDgZ61zouqY7cSfbpNtVItEl3x0MKkYcYc/iSsJx9NtR7xqJmfYINqZtjUduIpZQ4XVqV8xyfIZ8+v06VFfei7bHlquc2S0JLduirkJZJ4WroM47d8V8/eTV5jRra9bYjU9ySkJlx20skIOBt2ISArk9TyPXrUTTF9fsFy+KYbQ8haC06y5ylxB6j09633e+Q3UbLHaG7ShSwtZS+t1SiDkYJxtAPPA6geVFWCY5CtGthYVWyG7bEOIiueIwC6vIGXA5jfnJzwcYI4qVFs1vtj2sobsKNLTb2g4y44CVYJBAznjrjjB9a4UvVcabOjXObaUuXdgJ/GS/tadUnG1S29vOMdlDPtxWLRqpmLHvCbhCkTJN0BS+8JQbwDk/KNhweT38vKrg6bkqG7oePe12e1iaxNMdOxna2obc5WkY3eWTmtl4jwlXXSM0W6IgXFtvx46ElLRO8JyEggd+npXD/wAQQP8ACf3J92yceN8R4/xgyF4x08PpjtmpcnVdtfVY82eSlNp2hoCcPnAII3fh+YFMZ1Y4LVvf+0C62BVngfArLwCg1hxBCcgpV+79MfWuLa1xbtpO/hdtgR121tp6O6yyA5ncRhSjkqzgZz/1WmNrCCxq2TfhaJCnnknLSpiSkE8KP7Py7dj+lRLVqK22633eGi1SnG7iNiyZoBQkcgD8Prnv3piuhqdTbNs0jcGYUBuU+y4p0Jit7HDuA5RjaePMV3PgLaPtVmwTbYSoao+UtBASlGGgeEj5eT6H6Gqj/iaO7Y4MKdakSZEHcI75fUkBJVnCkAfNz6iumjXMY6qdvj1my+tvwwhuUUjlO0lWUkHjpgDHrTE18Qvhrxom+qXbIcd23eE4w6yztWMqIIUrkq+tJluizNH6XLMWPHflzFsOOtpOVDdtHJ59etQbXqG2W+1XSA3aZS254CVKVNSFISOQBhvz6nvXxO1FEe0zb7TGt8hhcJwutSDKCjvJyolIQP68UxXQu9whWHUMy1LssORbY4MfwltpS6tWPzl0gqznnr0rVp9LabAl2JBiod+Ky/OuDSFseHj5W07wSTnJISkq5H0XHWMW4hEuXYYzl7SkD43xVBJUOii2MAkepNRGtTR16eYttwtaJbkZ1bzDxfUjBVydwA+bn1FMF2trTVn+1eVEtzbLMV6MpwoSgHH4W7CSrJAzzx7elVjRqmbqb+qfCguPItrrqFpYSjYoAAEJSAke+M+tfL2twvVUe9JtbaFpa8J5sPH8UFG084+UY6DHHrWiyamt1qeuK27M6Uy2VRwhMzGxtXXkoJKs856elQfSIrdm0XCvDceO/MnPrQlx9pLyWUJ4wEqBTkkHJPauq/Ct0lrS97RAip+OkCNKi4IaUoKwVJSDgDHbpz0qu2/ULTVmes8+EqXbFO+KykPbHWFdMhe0jp/lxX2jUjQn2srhL+7radzEVD+0lWdxUpe05JPXgccVcTVtgtQJmtb1YDaLeImH9qwz+IlSRkKCv3fYYGPOvLgMVdIesIEXVEu9ps76nZCFJLRmjakq/Nj8Pp5Dt51UJCmlPuKjoW20VEpSte5QHkTgZPrgVOq10pSopSlKBSlKBSlKBSlKBSlKBSlKBSsZrNBtiyHor6HozrjLyDlLjaylSfYjkfSvl952Q6t2Q4t11Zypa1FSlHuSTWv+g61nr0wT7g/0q0DyTSlKgU5yCCQRyMcUpVo6D98uz8ZUd66TnGFDBbW+tSceWM4x6Vz6UpQpSlQKUpQKUpQK+m3FtOJW0oocSchQPI9q+aVRPm3m5zmfCm3KbIbzna8+pY/Qk/2agUrH99aUZpQ8dax7/wBagzSnalArZGkPRX0PxXXGXkcpcbUUqH1HNa6VRMn3S4XBKBPnSpQRykPvKc2nzGTUP2pSlClKUClKVApSnv1oN0SVIhPpfhvux30/lcaWUqHGDgitk+4zbgpKp8yTKUjhJfdLhSPTNRaVaFKUoFKUqBSlKBSsH+88Uznp0oM0pSqFKUqBSlKBSlKBTOMY6jkZpT9ao6LF8u0eOI8e6XBqOAQG0SVhIHtnFc4knJycmmP7HOaVQpSlZClKUClKUClKVQpSlQKUpVClKVApT+lKBSlKBSlKBSlKBSlY+hoM0oe/p19Ke3SgUpSqFTIN0uFvCvu+dKi7jk+A6pGT64PP/dQ+1CMdf6UG2VIelPF6S8486eq3FlSv1JrVSlKFKUoFKUoFKUqBSlKBSlKBSlKBSlKoUpSoFKUoFKUoFKUoFKVjvjv5UGaUpQKUpQKUpVClACTx/L+lKBSlKgUpSqFKUqCa5JiKtUdlELZLS4orleMSHEkcJ29BUEdB7CrvdXlq+zSxvFLfipmuflbTyADjIxg/Wu/c73Mh6y041FU20iVFipe8NCR4iVH5gT5enStRKoekLOL7f4sFalIaVuWtQ6gAE8epxivq5S7LItQRHtrkO5IePzJcUttbf+bcokL88cf0q5aTW5bvtUucOI6tmJ4j5U02opQSAcZHQ47eVQNG3WY/G1Mua6ZbjduWoKkDxFHaRj5lckDy6dfOkSqDztzycUxyR3HBq9Wm93W6NXKfIVHbdQw2x96q/C+FQFE4G1OVFQ4+Xke1dHUL8ZEnRlzlJduW5lRfc8P8R5KFD5ik5zjqM56c4pFrzTvx9K6F5tMi0KiolgodfYS/sUkgpBJwD64Gex5q26icuLun3ZkG8m724SUPB4qUl+KvBwCnqBzxg7eOKn6luk4at0ywqW6tlxiIpTTit6Coq5VtORu5PzY+tIleZ8+VOvA5PkOea9Ll6lujP2gLtcV4MQTc0/I02ASN4ByRyQc9+Kk2OTIT9pWpY6XXEx1tyStrcdpIHBx0OKRXlY5PHI8/7+lTrFa37zc2YUYfMvlSsZ2J7qPoBVkUHrNoS3TrS4tmRNkOJkSWlYWAk4SjcOQOCe1dTRN+uF013EkvJEb4hhaXPh0qbS/tQrClDPzHPf07UhXnSk7VEHqDWMHjg898H1/4r0DSF1nzrNq1ubNkyUfAKXhx1S/m4Gec84/lUdcx9z7KGC44XSzcwlrxMLAARwADnj06UiVR/wBfpzQ8EjuOvpXpmqrzMautttzK2WY9wgR25X4SDuCzz1HGOcY6ZyK2y7vbrDqebb5Ttzctid0f7qRCR4JGPl25c5PfcUgnr3pFry6n0/StkgNiQ6GQpLQUdoVjIT15Hnj/AOamWC6yLNdY86ItSFtkE4P5h1KT6Yorn4PHHXtX2zsDqC8hS285KUq2qPoDg4/SvYGJL9u1pNmOXB9FlvCGyyvceVu8Ix5FODz2AFUq9OXLT1nl2h+S8H50pa3klZwpCCU5P+s5JPcJHnSM1E17bIdrvqY9taU1GVHacCSoqOVAHPNci3SIkf4j42H8V4jSktHxVN+Gvsvj82PKvTpl3lRftItUOMpCI0hqOh1OwHxUqSBhR8vTp6VydMpTGvGtIiEtpZbiytm1ABGFYGFYzjGOM/SkWuHarZb5OhrzPXHWZ8RxsIcLmQApQ6JAHbI5zVXPHkPerjp/I+zjU3n4sf6/NXYelxtLCwhifPiNKityVtxoqVIlFXKt6i4ndxxgjgdKRK81yP8An0rPtz9c/wBK6uqXoUi+ypFrjuxYbxDjbTqQgpBAPTOMZ6c9Ktb90lQ/s2skqKppuQJjoS4lpORgdRxjPr19aK8/x/Z4rHvXqV/vU2DqPTsiGtpl+4RY7spxDSculRwdxxnoO1fEa8DT32l3a3IeVHtcx9Ta0oOA2pQ4cGOmCeopB5iOemae3PtV1uLdy0la7tFfkvpkT5BZSCs/O2k5Ws+qspHsTXI0Lb4901Xb4kwb463DvR03gAnH1IAorgnjr7+XFMHOMc5xirTK1LeA7dbfIQl9p4qb+HcQpSY+09W0j8pGOo8ua7a5Fw1nodhht9x24Wx5KHGirh1tXypWcdweM+Wag4P2fW63Xa+GJc47jyVNLWkJc2gFKSeR3/UVWf769/KvT9O3V6b9okeOZLsiPAjOR2y4onO1vClHzyQfpgdqhaZvD+oLPerZevBchR4K345DYT8OU4xtwAMdsVYzXnp468e9OvTNekvS42lhYQxOnw2lxW5LjUaKlaJSlcq3qLid3cYI4HSvq33GKWNZSbTESxDMdt+O0+wjclRUOwySMnIBOOelIV5pTuAeMnFXy06jXdUzjdLk7bbjI8Npq5MtYACAr8NRRgpzkHI8ueBiugxbpL2qJ8m+Jbckx7Z47L0dCXkvEAAOpScJV3VjjnyoteZ+/HHfisHj+8Vfhdbbe7Oi0zJN0uEv4pCmpsiOhBjoUpKVJKg4ogHP+1Yv98uVg1ZNt0Jps29slhu3qQVMLQU9SgYClEHOeuaRVD/5xQ8Yzx71eTLku/ZQ7477pMe5JQ3uUfwgEcJHkAeg7V07xNfVI0FIdX4rrjSEuKcAWVfiJ65zz60jNeaNkJWCobgCCpIOM+YyOldqNATqLUPgWaGYbK/m8LeXQ0kJ+Yknk9Cf+q7+q9Qz0amnWtBjpgN3DelrwEEBWcZ5H8z0qyMyHmvtkuLbLzjbTjJK0JUQlWGcjgccHkUhXkPrkYyBn3pjp1GfMV6BoPUlwmSptmuFzl4uTam231uqK23sfKdx55xj61yrmqfp/TAsrzjrT0x5TrzG4gJbSdoGPVQUfXCaNKn0xnvWRzgDqTgDzrvaIvz1g1DFlIeWiOpQQ+kKPzNk9/PHJ969BtiJ9vvF+s8m5SENXRxxEFzeSVOFO8LCvLBCT55xSJXj/wDX9Kz24/v/AKq8w0SS5YtKz5DyGX3w7KZKyAncobW/QYGeO6hU6BdpQ+0RyyyAFWlySqIYG0eChvJCdqDwkjGdwGfWkV5weBnqM4GO9Wi1Wy3ydD3mcthZuERxpKHC5kYUrHCQPId89a78OR9z6a1UmB4BTCnNojuFpB24Wec4+YgfxZ7Vt0zI/wAS6f1C5fJiWBKkxUuvhAAxnA4HHOAN2OKRmvM8eQ/4qbZYJud4hwkqwX3Ut7sj5QTgn3xXa1pPvbclVouTjrUWKA21GC1KQUjorJ/Pxg7jx5Y6DX9n8qRG1hbRHkOtJcfQhwIWRvGeisdR70V93k2GI1dbb93OtzIzxbjSm3SrftOD4gJxz1ykd/rVZ8+5H9/816TBD1z1bqaROdcluWtqQ7EafUXAhQUQMJPYf8c1D07Oe1Hp6/xb68uV8LF+KjyHlFSmVg9ArsCccdKKoXU8Vgc9jmr7qCbM0o7ZGrO4GIxiNSFBOQmUtXKt+Mbx1GPLGK3WO4S5ul9aCQnwWVNIeRGQlQabK1Z+VJzjrn60iPPQCegJ5wOO9O2R09qvU+S7J+zKzKlFyUW7kUBDiiolIScI/rXQu8iRc7deH7HcjLt5Zw9bHzsdhpBH5UnIIGOcY6+dIV5r0znt6U8/TrjtXpciZG0rJsiGp0+LH+FafcZjRUqbklQ+cqUXElWeRyDgYqHCuNqE28JguzLAmY8hyLLLeNgxuLStpylJzkEduvlSJVAwQcEYrHlweasWuGp7d6Qbp4K31MNlL7Kgpt8AABwEAdcV0rc2q1fZ6u8W9ZbnPTQwt9BwtpoDOAf3ST3zmiqXkYz2rP8Azg8/rXoEuR946Ssd7kpbVd25vwq3VoSovpA6qyCCRwMnmu+i6SF/axLtOW/u6QSl5nwxhY8LPzHn268dOgpCvH8jHUVkjB5GOvXitsgFmWsIUUltZAIJBTjPPpV61XcJn3PoqcJTwmeC5+OFkL/MB1/v/agoHbPX2p/MeleweMR9sU1BCChyNlW5IJx4IPU8jy4xmq3bJ8m86C1EzcChxEMNOR0BsDwiVYO0dhjOaQqkRS0JLXxKFraB+ZLaglR56A4P9K732gWuHZ9SuxLc34UdLaFBJUVYJSCTn3J/6rtaklStLJscOyvqYZXFbkuraOPiVqyTvx+YdBg8edd+8xGZWur9LeyXIltQ+0ENJdIVtThQQSASOSASPSkSvI8Y/Nx/f9aYx14/5q63LUMGXplcZT1xuVyjO+MxMlRGx4SCQClR3ryD69yOldLXl+mQ72u3xm2vhJcVgPspaTl7KRwDjI8gBjFIrzg8Hnj3roTrS/CtlvmSAUCbvU2lQx8qcfN9cn9KvV1kSLlbbvIsdyMqD4P41re/DdhAEcoQeMDGOMeoqFqi43B7SmlGhKlPCS054rXiqIeIcAAUM8ntz6UiVQh0zggcdaY/rj616/AddlXa9wLg+hptVvcKbO0S63GwkdSAAFA8/KCeecVWrXcX4v2aPvMBkPtXJKW1+EklPyZz0wTnucn9MhFqi/1/rVo+zy22673xcS5MOPJLK1o2u7UgpBPIxk/qKtL8JrUdz0O7dClxyawr4leAC6EHIzjHXpTRd9uMrW86FJeUInhvoTG/ca2g/kT0TjH1pErzmNJiIt0hp6F4stZQWZHiqT4IB5G3orOe9RM5PX29auticU59muo0qSj5HWCMIAPK+5xz9am3q+Tbdp3SUmCtth9bLm5xDSc4CwMDjjikK897gedY7dP78vevUpce3Nfa46mU2wgPNBxpKgNnjqQNpIPGSf5mtMq6XyBoS6xdQSZbE52SlEXxVqS4oZ+cDuW8fSivPralg3COmW2txkuBK0IXsJ5x1wcV09b2+Na9VT4UFHhx2VJCEkkkDYCTz6muRB5nMYGfxE8Y7bq9ZRc5CvtZmWnKPu+SSh5nwxh0eFn5j1J/oKK8f/n7UHIz27GrxHYVZtCyLpb1luc5P+GW+g4U00B0Sr93J9c1JmXN5zSNm1J4gRfY0tUYyBjc+kJJ+bzAGBz/AL0iPP8Ar0/v9KDnp/LmvYfvJ+HrFrUBmPpsVyituL3KJGVYSEYz1CiTjsN1VS/Kummot3hvTZKnbhJKMqcJLjQHKz6qykZ8gaKpPfHfyFO9dLTb7MW+wXpMdUmO24FraQncSkDqB0OBzzVvvkq5psjlwtl6N1gNyUPJfKil+IrnCVIPISc4444oPPuPOnTrXp93+I1K7YdRolPIjNpKZZSs/wDlltjcsjyKkj68Vy7TqAXJ67Oz7jJtc6c8ksz2wohCRk+CSPmSnpyPLnNIzVVsFpkXu5tQ4o+ZeSpWMhCQMlR+gNc4/wDf0r1WwOXeP9obbc94Fx+DlTkd3LckJbO1wY4PTIyOprh2F1T2mbpfZk2cbgl9tj4ttHxD7aNucjctOM4xuByMY9AhVGxjr58+lYr0F69wbncNNrjJlSZ7EhDEiZIioT46CsYzgqyrHfqRzXcgXGQ99pd3tDvhKtjxeDkfw07XMJyCruf19vKkK8j8vXzIp/Tr07Vf7RcZF30ZqePPUhxiI005GbDYSGjv/dwPL/k1Ns0l6azAZsE8x5TEYNO2aR8iHzglSkHlKioHPIyPPGKRa8z5zjvQc456/wAvevpSNqyhwbcHaQT08/rV+1Pc52kr/Fh2ohuAww2oMYJakbkjKlgY35O4c0V5/wA+Rz5YNYyMZyMdfpV6bS7bdEyb1EQItxk3DwnFtDYY7eM7Unqjk+ecVvmSBcdJWS9yw2q7tzfhVvLQlRfQB1VkHJAwMnmkSvP8Hnvjg4H9/wA6Y4GK9gVdJKftectgU2m3SFBDzXhpw4PCzhR5z06ZwOg4zniWKc/cLdqm1yy2q3xoji2WQ2kBpSTwU8Zz70g8669KY+nvxXoD90lQ/s2skqMppuSJjoS4lpOU4HUcYz68H+ldG/3qbB1Hp2RDW0y/cIsd2U4hpOXSo4O44z0HakSvLc+eP1rP8vf+/wCtesW9a4ettZW+M4tuCYshzwEKIRu2g5x0zzVft8mQ59k9zbddWtDE1rwkrJUEg4OAD0HU46Ui1R/5+1TLTIixpiXLhC+OYSCCx4qmxnHXI8qv95vs2A9pF2EtplbsJlTikNpBUCrlPTgHuBUm2NNw/tiucZltpLSvEVjYOMt5OCeQMntikK8r69OnbuMdqH+8irnFS7a9CqutuJROkTiy7Ib/AGjTaRkBJHKck8nv3pZbtcLzqS3TH7VGmyGWijefww4Up5ccWrIKk8HPtSKpnn5iuhd7U/ahDEsFLkhgP7COUgkgdM9QM1dbo8uT9nbsly6ruc2LcUBEoBWWyU5IQpXzbe/QD0rdqFyRd9QaUtk6bJXClRIqnmy8ohajnKiPM9M9eaRK80/rSvSlX23RLld7dc3bpMhub2E21MJCW2VBRCdg8UgY6cAZzmvNSMKUOeD5UV3tCwYVz1PCg3Jhx5iQoowlzZg4J58xx5iuRPQhqdJQ2NraXVJSM5wATjmu79m4/wDvi0cdHuT/AOk/SrDaLjJucHV1vmFtcNmM6800GwlKFhXChx1oPOScDnjHWsnIzng8/rV4u7sjTWmdOu2V9cZc1pb777KsKWrI+UqHYDjb0PlXXm3dux3vTV9jYjKuMZK57TY2pWMgFWBxzyfpnvSM15hjJAHUnAHc0/rjvXsFtbn2+836zyblIbZujjiILhcJKnCneFhXsQCe5VVEvcudbbFCsLz7yeTJfYUo7UKJ+VGPLA3e6qKrR+v1GKVgDAwKzUVYHtTLesca0rtlv+EjueKjHihW7uSfE78g+h7cYkS9YuyrnBnvWm1mRDSlDWEugBKfygjxO1VelSi1RtaSI1/kXhq12wTnslSiHSAT+YgeJjkcGtNs1Wq2/HCLZ7WlM1JQ6gh4jaeqR+JwP5+tVulWjt2fUki1MT4zUSG9CmEFyM+hS2wQcgj5s8epPrmpn+NbhttwVFtyhAKvCzHwCDn5SAcbeegxVYpSjszr+7Igvw4sKFAjyHA48mMlX4hH5Qd6lYA8hgVM/wAYS1qt634FufcgoShta2lblBP5NxCgeOuBgZqtUoOreb49c7yLoI8aJL3hwqjhWFLByFEKJ547YrrjXdwRcXJzUK1tSXUKQ6pEb9qSMblZJ59BgelVOlSiw2bV0+2RpEYsQZkN5fiKjSmAtsL45CQRjp2rRG1LOjX5m7NJjh5kbW2g0EtJTgjaEpxgYPauLSlHfhaplw7rJmMRoQbkNqZcilo+CWz1TgHP1zmvp7Vkt21qtqodvEIveN4QY4HAG0c8DA6jn1qvUq0dzUeo3b6Yyn4MKO5HQG23I4cSQgdE8rI4z5ZroPa8uj8Ntt+Pb3ZbaPDbnLjgyED0Vnj9KqdKCzRb6tvRs61ykRltPueI1xl4ubgSonPAwCORnnjgGqznnOc+o7+tOxGBzQ8mg6Eu8zZVtt8F53LEEKDOOCMnPP8AtX3c7zIut2FwuKGpDmEAoUCEKCQAAcEHHHnXMpSi1ydbSJF7jXZ21WszY4AbUEu4GPynHidu1fETWL0WbcpTVqtniz0qQ/kPHKVfmA/E4yeaq9KUd+DqVUOzTLWi2W9cWWrc7vDpUSDlPO/jHb/et9s1ncIVpbtz0a3z4zXLQmseIWj/AJeR09c1WaUo3zZb82Y7KkuFb7h3KV0/vyrsP6mW/Yo9pctlv+EYX4iCPF3bicqOd/U9D6dMVwKUFln6ucnS7fIftNs3wUpQyEh0AJT+VJ/E5API/wB62ORbprq4zbjHiQmnW0hUgpd8NJz++d6j2T2/SqtSlHe1ndVXS7geOqQzFbTGacP74SMFX1OTXGhyXocpmTGcU3IZUFoWnqkjB4/StVKCy3jWU25suByHbWJDicPSmI4Q84OmFLz39Mda6Fqh3LRsR66yXW2PionhRkodSpTpVgDgZ/KMq57hNUqmenA4oJ1kusqy3FuZCKA83kfOkLSQRggg8YqVKv7rkV+PEiRIDMggvJipUPFwe5UonHoCB6Vx6UFmtms7hCtLdtejW+fGa5ZEyOHC0f8ALyOnbOa+bfq+VEauKXYUGWq4cSXHwvctPZI2rAAHp6VW6U0de33xUO3yYK7fBlRX3A6UPhw7FAYG0hYI6+efWtqdU3Nu9R7nHW3HejthhptpGEIaAxswc5Hvk1w6Uo79+1TKvDRbMS3wm1q3uCGwGvFV2Kjkkn649KlytcXKXFbRJj292YhAQmeuODIAHkroD6gZqq0po7do1HJttvkwTHhy4j6g4W5TZWErAxuTgjB/UelSnNYzXl21UmJb3hbx+CFM45ByCSkg/QED0qtUpo7Vx1Aq4X4XZ63QEvlW9baA4G3FfxEb859iB6VMf1lNc1Mi+oiwmpoBSsIQvY4CMfMCo9uOCKrNKUWe3Wi439bt5YEODDjugOuNrS0ljHzbgCc+vviudqy7Lvd/mTlqUUuLwjd1CBwP5Y+tcmlA9e/WurL1BcJUm2vuvfi29tDbCufl2nIPvmuVSgmXG4yZ91fuLzhTKdcLpUjjae2PLGBj2FdiRrCdIk/GriwRdNmz45Lag70xnG7bnHGdufWq3SpR37dqZyFZJVr+74EhiUdzy3g4XFkHIJIWMEegHrS3amcg2OTakW6A4xJILy3PFK1kHIOQsdP7ya4FKUd+8aoeu1qiwZcCAfhWw0zIAc8VKR/mKzn68VB0/dlWW5NzmosaS+0dzfxG8hCvMAKHPvmudSqO6dTy0X/73gsxoUpRJcDAVsdyfm3BSj174wK1Tr+6/GkMRYcKA3JVueEVCh4h6gZUpRAyegwK49KUWaFrKdHtLVvfiW6cyxkMLmR/EWyP8pz/AFzUO06knW+ZNkKTHl/GoKJLclvchwE55xgjnyNcWlSiwvatnO21qB4EJEZqR8QhKGANp8h5e459azM1XIfVNcYgW+HJmoLb70ZC0qUk/mABWQM9yBmq7SlFnt2tbhEtLVuejW6cwx+wMyP4hZ8tvI6ds5xURjUj4jzWZsSHcEy3g+4ZKV5CwMZSUqTjr27Vw6VaJ94usi7SUOyA2hLTYaaabGENoHRIBJP6mt9mv0q1xZURLbEmDJGHY0hJKFEdDwQQfUEVyaUHYcv7zkiEpUWL8LDJUzDwoMpPXPCtxOeclVdMa3kjURvgtds+8CPz4dxnG3djxOuOKqlKDfOkCXLefDDTHiEkttZ2jPXGST69e9dhnVMxFoj29caC+mMSY7zzRU41k5wDnHXzFcClSi2o13PF8cuzkG2uzFo8MKU0oAJxg9FDcSOPmz6YqJC1QYUCfCj2i2JjzseMkh45AOQAfEyACartKUd8aplrtceDMiwZqY37B2S0VraHkDnBHooH+lbpGtLu7f0XhJjsykJ2YbZASpOMYUDyocdCTjtiq1SrRYbvqp+5lCXLfbWI+8OOsR2S2l8jp4hB3K/Wvi/6mfvUyNLfhQmJDASkLYDg3BPQHKyMe2DXBpUosU3Vch9U5xi326FImpKH3oyFhSkk5UACspGfQZrSNTzRaIcDwop+DOWJBay83827AOcYzjt2rh0qi2/48uH3k5OTBtSX3m1NvkR8F4EYO45z+hA8xUL/ABQ4bE9al2y2qjuueKtW1xKt/ZQ2rAGBwABjFV+lKLHO1bLkx7Y21EiRFW05jOx/EC0dCRlSyDkjnI86kI1xNbuargzb7U3NWgoddTHOXcjqRuxn2Az344qqUpRYIuqHY9mm237utzjMw7nlFC0qUc5BAQsJGD5CvqdqlU2HAiv2m2lmDwyAHQQM5IJ8TkGq7Sg9CsN5l6j1O5chEtabgzGWER8qSJXy7Qn5144B7eX1rN0jMMw5Cb3pSJamvDUG30PqQvfg7QlJJ3844xjnOa889uvY+Rp7UEiBJ+EmMyCwzI8NW8Nu7ijPbISR/I1ZP8byf8RG9/dVr+8CMb9roHTGcBzy4qpnrSlHdiamkxVT20RYaoM47noS0qLJPmPm3A+yqhXW7P3BphgoaYiRwQzHZBCEZOSeSSSfMk1z6U0dCRd5j9mi2t1wKiRnFONpOeqvPz7/AKml6u8u8yWn57hWtppDKT/lSMfr159TXPpTRMs1wdtVyjzWG2nHGVbgl1JKTxjBGeeCa6K7zJuDKrXAhQoTcx1JcRH3AOqB4zvUoADOcDArhUoLhcWp2lNPTrPMfSiTPdSVMNuhYQ0nPzHGcE5A9ga4tsvaoNsfgOQYUyM8sOFMhKyUqAwCClQx169a5P8AXz7++ev9msUosDOq7gzfY10bRHC47fgNMbD4SW8EbMZyRz3OfWvq2auuFtuEiTEahpZkJ2ORCzlhSew259fOq9SlFhe1VIeukSYqDbktxFb2IrbRbZQrIIUEpIOcgdSaksa0ksahevTVstiZzoIUra7tyfzEDf1I4/75qq0pRYrfqlUCJcI0e1W0Mz+HknxjkdgPxOACeP55r6Tq19LkZ9u3W1E2M0GWpSUL8RIA2gkFZSTjuQf6VW6UoytanFqWskrUSVEnJJPU1Z2ta3AW1iJIi26YqOnZHkSowddZHbBPHGB2/wBsVelB2bZqObBbmsrS1MizDufYlAqStX8WQQoH1BFYdvzrr8MriRTEiElqHhQaSeueFbic9yquPSgtZ1tJVqQX02y2m4BON2HcE4xuI8Trjjy9K0QNWOQXrk4xarbm4JKHwQ6cpPVI/E4yefc1W6VKLBJ1OqRY49pXarcmIwvxEBPihQUTknPid+h9K2z9XOTpdvkP2m2b4KUoZCQ6AEp/Kk/icgHkf71WqVRZVaxnf4icvLcaG3JeQW32wlZbeBGDuBUe3kRXw5q2WbbKt7cK2tQ5DgcU0iOABjsOf59fWq7SmiyztWLmrtynrTbP/p6UoYAD3CU9AfxOQDz/ANcVvb1xKRqJ29i2Wz7wcTtUva7jpgnHidxx7VU6UosFn1XMtRmNx4sJyDKO5yC+2XGAfMAnd/OsxtW3CNek3FhuIja2pkRkshLIbPVASnHBPJ7mq9SmixPasluWqXbkwra1EkLDmxuPgNqxjKck8+pyfWtFx1LNnwYUd1uMlyKhLaJCG8OlKeUgqz2PPGPXNcSlKLXcddXOfHKXo1vTMKdip6Y4EhQxg/P7dwB1NaZl7LuiY9pkpiFTTu+P4aT4gHzbis5xyTjGM9/Wqz51kcdOPag6mnbw5Ybo3PYixpEhr9mZAUQg+Y2qHOPeulC1c5CduDke0WtKpySh7IeOUnqBlzjJ59z26VWKzSjuRdSPtWz7ukRIkyAlwuMsyAshk/5CFBQHpk1z7rcZFzlePJUnKUhtCEJwltIGAlI7AVDpUo60zUFwlSbdIce/Ft7aG455+UJOUn1PSod1nv3O5SJ0pQU8+srVjoPQegqLSqFKUoFKnRrPcpUb4iLb5j8fOPEbZUpP64rVAgS7g4puBFflOJGSlhsuH9BQRqVtXHebkGO404h8K2FpSCFBX8OD39KlP2a6R1sokW2Yyt44bS4wpJcPknI5+lBApXQ+5Lr8b8H91z/i9u/wPh1eJtzjO3GcZ71oTAmLcfbRFfU4xnxUpbKijB74HH1oiKeBnj9az59a7NtYuNsmvIVZzIdWwSWZUZStrZH7QJ4PH8XSpMHSdylaaduzUOU6PEShptpsrUtODuXgdhgc+vpRVdpU+ZZrpCYD023TY7JwA46wpCSfQkYrVOt023hoz4cmMHRlsvtKbCx5jcBketERaVObtFydgqmtW+YuGMkvpYUWwPVWMdjX1Ksl1iNJclWycw2VBIU5HWkFR6AZHJPaiufSpki1XCNJajSYMpmQ7+zbcaUlS+3AI56V8ToEyA4lufEkRXFDcEPtlBI88Hmgi1nB9vcGpr9ouTEVMp+3zGoxA2vLZUlOP9RGMVZLnEjO/Z9ZZMeAw1LdmraUppGVuY6DknP9+lEU6lT3rJdo62m37XNadd4bQuOpJWe+Bjmta7ZPbiGUuDLTFCikvKZUEAg4IzjFFRKVKgW2dcCv4CHJk7OVeC0V7ffbnFfEaHKlSvhosZ9+T/8AsttlS8jqNo5oNFKlP22exKbjPwpLclzGxpbSkrVk4GARk1mfbZ1v2/HwpMXd08dpSM/qKCJSpi7XcEQhMXBlpiEZD6mVBH/u6VmHabjNZL0K3y5DIOCtplSwPTIHt+tBCpRSSlRSoEKBxjHepcG13C4NrXAgypSE/mUwypYHvgUESlSYkGXMkGPEivyH09W2mytQHsOaw9BmMShFfiSG5RIHgrbKV5I6bSM5oiPSpptNxDT7pgS/CYOHV+CoBs+SjjA+tQ0KCVBRSlXmk9D6cf7UVjzA6ilXTV9pVKXZTZbSRvtzbzjcRlSsEk5Jxk1TmmHXH0sNtuKeJ2hsJyrPlj9aD4p2z286kzoEy3uBufEkxXCMhDzRQT9DWyzLebukdcaGic8CdkdbZcS56bR1oIVDx149+P61KUxJmXFxpmKv4pxxQEdps7knPKUp5Ix5datd5tiYn2dxnJFpTAuHxxbUVNKQ4pOwnnfyM/QGqile9Kli13BUEzUwZRh9fHDKvDxnruxivhmDLfZDrMWQtorDYWltRBUeicgdfSoqPT17eddOPYro9d2rZ8BJbmuEYacaUhQHngjIHrXQn2idpzVCWU21cpTa1JZRIYUpEgDuBxuHXpRFcp+v6VbtF6fdvuon1y4DvwrQcW4htpQQFjJDZx05x8ua+nrlKTCegv6UiJuTbay48YRQpDRA52ADBHZX6561VU+lSIECXcHC3AivyXAMlDDZWR9E5r4cjvNSCw4y4h8KCC2pBCgryx1z6VBqFYq9WmzLY0XqFd0s3gSm2m1MPyGFJWcqwdu7juOlUY8miHan86tn2aMxJWo/h5sOPJbUy4rLoJ2EJJBAzj9Qarr1unMxUS34cluK4cJeW0pLZ9lEY7dqKi0qZAtc+4IWuBBlSkI/OplpSwn3x0rMG03GeXBBgS5JbOHPBZUvZ74HFBCpXRRYruuMqQm1zzHTnc4I6ykYJCsnGOCCD5Vpets5mG3LfhyW4jn5H1NKCF+xxzQRKV9stOPPIaaQtbqzgJSMkn0FS12a6Ny0RHLbNRKWNyWVMLC1DuQnGTQQaVPds1zZmNxHrdNbkuDchpTCgtQ8wnGT0r4Ra7gucqEmBLMxP5mAyouJ4zykDPSgh0qSYEwTfgzEkCZnHgeGd+cfw9a+l2ye3DMtcKSmKCU+MppQb3DjG7GPOgiUqxSNKXFjTLN1VElEOqUdqW1HY0ADvVxwDnjNctNnuS4nxaLdMVEwVeMllRRtHU7un86CDSg5qa3abi5DMxuBLXDAyX0sLKAPfGKCFSpcG2z7gViBCkyigZWGGlOY8ug6etfDcGW5KXGbivrkIzubS2SpOOvGM8URHoaku26azERKdhyURVnCHlNKCFeysY/nX3ZVNpu0TxmGn2lOJCm1k7Tkjrgg0VDpVq1tZZCdT3hVttrwgMPbSplhXhtjaDgkDA+pquQocmc8GoUd6Q6RnYygrVj2GTQaKVskx3or6mZTTjDyeFNuJKVD6H2r6jxZEht1bEd51LSdzhQgqCR5nHT60GmlTXrRcmVsIdt8xC3x+ClTCgXP9II56jpWiZEkwnyzMYdYeAyW3UFCv0IFEaaVNetNxYhiW9AltxD0fUyoI/8AcRitTMGW80HWor62isNhaW1KBUeiQQOvpRUesAgjPapciFLgTEszIbrL4IPgvtFJPPGUn+lWG32O4ao1S42u2/A42rkNtMlpDSceR6bu3mTRFU98Z9KVLXbJ6JwhKhSxMPRhTKg4f/TjPSvibBlwXg1Nivx3CMhLzZQSOmQCOaKj0qYu1XBtt1xyDKS20kLcWplQShJHBJI4B9fSgtVwVBVNTAlmGBy+GVeGPdWMUEOmDzwePSpUCBMnOqRBhvy1o5UhppS8e4T0qzfaFBYhxdPFmA1BdchBbraWtp35Od2ec+9BT6UPU1MgWu4XELNvgypQR+bwGVLx74FBDpW9qHJefUwzHeceTnLaUEqGOvA8q+3bdNZholvQ5KIqzhLymVBCjz0URjtQRRjP98VgdB7Z9q6Not82W4HotsfnstK/EShpakDzCinp+uK7X2mxI8LVj7EOO1HZDLWENJ2pGUg8CgqlZ9ulW20x40jQF6d+CZMxh+OEPBJLmFLxjJPHlxiq1NgzIDiWp0V+M6UghDzZQSOmQFYoiPSpptNxEL40wJYh4z45YUG8ee4jH86y3aLk5C+Mbt8xUPr46WFFvGcZ3AYxRUGldGTY7tFSlUq2TmEKUEJU5HWkFR6JGR19KjzYEyA6lqfEkRnFDcEPNlBI8wD1FBGpUmPb5sltpceHJdQ6rw21IaUoLV/CCByaOQJjUz4RyJIRL4HgqaUF8/5cZ/lREalS3bbOZaDr0KU20VloLU0oArBxtBx1z261mdarjAbSudAlxkKOAp5lSAT6ZHNFQ6VMhWq4z0LXBgS5KEEhSmWVLCT5HArqaf0vPu8C4zGY0hTEVslPhoJLjmQAkDGSefp3oK/3x37CldVImMWaZFctafCDoDspcdXiNK6bN37vsajQbXcLg2pyBAlym09VMsqWBx5gUEOsfp+tSYcKVNfLEOM/IeHJbabK1AeeBzU21xXYd/hx7lBIUXUJcjykKTwojqODRHK/X60/pVg1/HZi6xujEZltllDuEttpCUp4HAArjQokma+Gocd+Q6eQhlBUrH0orRjp60q56st7UXRthdXbG4E1a3g8A0Ur4OMq3ZVVYdtdwbh/GOwJTcTj8ZTKgjk4HzEY68VUQzjH/YAoR1xnrirtp/T0xrSku8NWt2TN8VtEdtyKXUlsjKlhBB3A8DOCBXGuSHtQ3BUmz2FxjYhKXWojSlp3jqcAfLny7UHC47cilb2Ycl7xQzHec8FJLgSgnYB1KvLFfUu3zYbbTkuJIYad/ZrdaUlK/YkYNRUanep33Pc/gxLNumCKU7/GLKtmPPdjFb0/GO2RiM3a0llUjKJaY6vEWs8eGF9D57aDlUqfLs10hKaTMts6OpxQbbS6wtJWryGRyfSvh613BiW3FfgS25S+UsqZUFqHYhJGTnn9KCHSpE2DLgPBmdGfjO4zsdbKFfocVGHIFBmlKVApSlApSlApSlB6JaXW7nKtEcPSLRqCPHQ1H3fNHkIIykcH5d2Tn3861LhsxNBQnHIc15Lcx4SlQ5Aa8NxJwnd8i+MdOlVwaqvAZYbEloFhvwmXPhmvEbTjGEr27hx5GtNj1Hd7Ep02uatkO/nSQFpV6lKgRn1qi/2uYvUF3emt25cO5os6xDU674i3VD5Q5nan5sZHT1rz9ubdfuaXBDjn3ch0OvoWANrmcDKiM7sjoD5+Va13u5ru4uiprxuAVuD+75gemPLGOMeVbr7qW730Npus1x9LfKU7UoSD54SACfU+vnQXW971/aNpQjcVGPEOR35Oc/QV9W+W+1etfBt1wBLEhxKd2QFb+uOmR51TW9WXxuPFYTPUG4u3wfkSSnByBuIyQPIkjitjGsb6w7KcTMSpyTw6pxhtwrH8JKkk7fTpRHe+z27T7hdriJs1+QBbHgA46VcgccfU9a58QZ+y2YANw+9EYGM/uD+/OuPadQ3K0OSHLc6yyt/IcPwzSsg/ujKThPoOPSsQ9Q3OExLYiyfCZlKK3kIQkAnzTx8p/wBOKKtFpZd1npJFrLm652pwKa8Q/nYUQFe5Sf5cVV9TTETLqtMdZMSOkR2Of3EjAPucZ+tdhllnTUFyc1eIkqbMi+E01GWSpvf+cr4wMDPqSfTmojgf9Yp1OLnoJ03GHddOOrOJ7KnI4PQPI+ZI+uOfauwq2ovemmbQuRiZYnEmQtS8pQyv9pj/AEYx7JPnXncKU/CltSorhafaUFIWnsR0NbGbhLYMotPrSZSVIe/zpUQSD+goq8aaeF4VqmYGJLshMdCY7LLoQ6hnO0hCiFYwkJB46cVGZublyslvtVtszxEaehTL0ySl0JWo/s8bE8HHTrxVQtdxmWqaiXb5C2JCOErQeceXrU+66nvN2lR5NwnuOvRzuaIAQEHzASAAfWgvkRSHJOtm333ZM9UR1UkpRsYCwcbUAkqOOxOOnSteno0CXoWxsXBxLa1y3xGLgy3437u8eXsevXI609etdQrkLeVcl+ItBbXhtACge5G3BPr1rTJ1VdpMBEJ95hcZCgtKDFa4UDnI+Xrnr50R39KOXaN9p8Nq6PPfGeMUO7ln5htPrgpxjGOMVI07MkzU6yYkvuOtfBPENqVkApPy4Hn2rgr1xf1zWpjkthUpkYbeMNncgeh2ZFaY2rbxGclLYejNqlDD5TDZHiDyPydPToaCx3P4e3aa0zLTEuDkcNl3xYsoMpS/uydw8NR39s56cCkq9tybvd5dzs0mJBnx2m5QYdBdZ3EFK8kD823lJHOe+arNm1XerMy6zbZymGXTuU2lCCjJ64SQQn6YrTC1DdIkiY81J3OTBiQXW0uhwZzghYIoq2L8azz7VcGnDeLSYbqGljLLqWhkLBBPCk78D6eVfLdvhuNWJ2HcFStPG4pbLMobHY6zglKudpBAHI86rDWprs1PamtSgiQ00WWyhpCUIQeqUoCdoHXgDvUe4XmdcG22pLqAw2orSyy2lpAJ77UADPr19aC+PXRdk1lc2VWW5yJckONLZemJ8NxvPyqCfCHygDg5IAHXioVnfjS27HDkOSbPdYqf/Ivgb2HQpZxuHYk8E1X39Y6gkWr7ufuby4hTtKdqQVDyKgNxHoSe/nWqPqi7MRYsduQ14cVJSwVRmlKaz/Cop3A+oNBz7rHeiXOXHlbUvtOqQ5tORkEg4q3axEm2R9Lv2xSm4aIbbjK2/wAoezlZ9T04NUla1OLUtxRWtRKlKUckk9zXatWrL5aYJh2+4utRjnCClKtueu3IO36YoO5GN0etF/l3t4R4kh1r4t1LO55S+oSkAgJ4IJz/AF4rqX94pvGhpERT7fiR2E5Wv5yjxBwojGeD/wA1SbZqO62wShDmKSmUrc8HEJcCz5ncDz69fWt41be90RS5xdVE5ZLzSHMHzO5JyR2J5HY0ReLTNkv/AGpXqI9IdXFKJKCyo/IE4Jxt6D9P968qI5OScjzqwNaxvTNydntSGEzHRtW6IjIUR352dT3PfA8q4b7ynn1vOBAWo5IQhKE/RKQAPoKC86su9ytw0wm3S5DB+7WVhDa9u45OMgfm8uc1ZLlGiv33VDsaO67cEwGFONxnA25k4Lu1RSrBIxnjkZ8683Y1NdmIjEZMoKbjjDJcZQtbX+hSkkp+hqFAuk633ATocp1qWCVeKFHcSeuSeufWirBdLumXo5FvYtUtuNEkbm5UmT4hbJ/cH4af0HStX2ZvONa2tYbcU2lboSsJXgEYPB7Eehrm33UN1vzja7tMXILf5RtCAPokAZ9evrWiy3ebZZgl211DUkDCXC0hZT7bgcfSgucdkt6W1hMhbhO+N8FwoGFIY3ZOMcgZPPtXwy58V9m1nbmLK2E3cNnPISjbnHtyo1WI+pLrGuUidGkpZkSBte2MoCHB/mRt2n3xSZqW7zIKoT81fwilFRZbSlCeR0wkDj06URerpchp/X0lTdnuUh9zLLbRmJ8F9pQwEhPhflx2zx5muWidLZ+zi5Fl11gouvhoT4gJaBR+UK8uo/6JrhDWWoRa/u8XR/4XZ4eON23y3Y3Y+tR2NSXJmz/dTbkcQO7RiNHJ8ySnJPr1oq23VS5Cfs+kOqU485tQpauVKAdTjJ+tZtjjzX2zL8JxxtDk5YVtJG4ck9KqNw1LdbhHisSX2i3EILHhxmm1NY6bVJSCP161vOr72bkm4KmIVMQnalxTDZ2+oBTgK/zDkjjNEWDQuDr685A/YysgYOOT169zUX7N3XQ1qJoLX4ZtjqijJ27uOcDv15rkQ9W3iHNkS4z8duTIOXXExGcqzjP7vAPkMCtcDVF1gLlLhuRWVSRh3bCY+YYxtxswB6Dg9etFWFpmM39nVtk/CTZDXxLqpK4kgNbFjATv+Rf7p46da7lrnG93OTc025yHcmLOsxC46HHHVJ48X8qSVYyOlUCzalu9ldeXa5io/jHK0BCSg/8AoI2j6CtRv10+9/vT4+R94Zz427n28senSgsml5DzmhtXNOurKNrS9qlZ+YrOSfXgfz4qnvxJMdpl2THeZafG5pxbZSlweaSevXtXXc1ffFolITPU2JOC6lhtDW8jPOEgc88kckcGs3a+vzdPQbY9J+K+HUFJUEABtIGAjoCevJPp5ZLqcT/sqJGsGCMBQZdI6HB2HzqTYZUqdofVaZUh10IQwtAWSdp39h24GKrdjvtwsT7j1rdQy6obdymULIHoVA4+mKks6quzEeSwy5FbZk8vJTCYAc9/k55Jorua7Dtta0yq2OqbhJhIdYU2SAHM5Wr/AFdM12LzeGbV9oFrmkJQZURoXFA6ErHzE+fBBqiwtRXOHCTDakIXGQreht5lDyW1eaQsHb9MVzZUh6XIcfkuredcOVLWoqUfr7UHpsCzpt67vpOS8Su5lbkQbuBs+ZtR/wBWD/7fWqRqVaoxjWgLyiCja4Acp8VXK/0Pyj/T61DXd567kzcFynFTGdoQ6TyNoAT/AEFQ3VqdWpbiipajuUT3NOi4/Z9GbftuoloYfflojJ2IjuBDvhlR37VFKscAA8cjNa518Luk2YkO2zGG4cre1Lfk+IWlEHKE4bT+g6VWrZcZlrmol2+QuPIRwlaDg48vWpV91Ddb8ttd2mLkFv8AKMJQB9EgDPXnr60F0vgbmqg61QU7SxueTn/9WjCUjjzOD7A1Ct7TS/s6kS3I06XvnEzFRXw2sAAFPiEoXkZOeccmqb8dJ+7hB8ZXwgd8bwv3d+MZ/SpViv10sLynbTMXHUoYUAApKvcKBBoL5Zr6/c9X6VcTDkQgndHLzsneqSgDqs7U5AI7jHXyqFp2ZJmf4yalPuOM/BOlKFqylJCvlwO2KrDeqr0i7m6CbunlO0PONIWUD/ICnCfpivuPq28RnJbkd6M2uXnxymGyPEB6g/J+vn1PNB0LolR+zSwgBXEt84A9OD/89s12mSi9z1oiOvWvUaYhjriPAqYkIDeMJI5TlPODkf1qlt3+5tWt23NSiiE4srLaUJGCeu04+UHyGKkSNWXmQlXiSm/ELfheKmO2lzZ027wndj0zQc22IacusRuV+xU8hLmem3cM5+lW/Vb96tX2hSfu5Tjb6sNRAEBQLKk4SEggjBGfqDzVFPTHQeld9WsL+q1/d6rm6Ym3Zt2p3bfLdjdj0zig6sdLsfSUJV0dLNvVNW7HbiIy884OMqVnalIxwcE+QxVw8ZbX2wvpbUtKXYmXE5yFENZ5B4PPkOvPnjzOFqS7wrYq3xpq0RCSoI2pJSo9SkkZST3wRUtGtdQImfFCeDI2BvxFMNqIT6ZTx6nqcDOcUR1bBLk3DQ+q0zZDz4ShhafFWVYVuIJGfTjiqjbBm6RB/wDzoH/+hXSY1TdY8eUwy5EbZlZ8ZCYTAC/f5P08u2K4qVFKgpJIUDlJHUevvRXqEm83JH2vrjMyX1RVSg2qOVnwy2QCrKc46c/Wo82NATpW7vxIkuTE+9XA/wDBvpaKUDlG47FZTzkZAxmqhJ1TeJKSHpmXFJ8MvJaQl4p/h8QALwe4zitFiv10sLynbTLVHUrhQCQpJ90kEUHU1ndlXmPanVW56N4TRZS88/4i3wn94nanpyM+vpXR0DKkN6b1UGnnEhuGFIG44Qd3UeXvVSu1zm3eWqVcpC5D5AG5WBgDsAMADrUu1aiuVqiPxoDrCGH+HUqjNLKx5EqSSR6Hpk4oLN95TVfZal/4t9T/AN5FtLm/5wkoyUhXUefX+tdgIYuN30Au6KD3ixvnW4dxWRkpzn1/s1RDqa5m1fdpcjmDnd4XwjON38X5c7vWvm6ajul0jR2Jr7am4/7HYw22W/8ASUpBHQcZoi16TkzUfabKiz1OLblOPsy21ElKkBKjjywMDHpitaZzzP2c3IwpLiWkXXw2VBfKUFJ4ST0GO3r5Gq1L1Pd5jbiZEsKU434S3UsoS6tH8KnANxH1rDOpLmzaDa23I4gE5LRitKyfMkpzn168Dyoqy6mkPfdmiJfjOfEqZUkug4WQFgDnrnn+ddxOf/GmccDPhLOf/wCjk5/3qhv6su76IiHnYy0xOWEmGzhvjHHyf2cV8P6ovD14auqpSU3BsYS8hhtJx5EBICuOORRHa09H2/Z3qGTEJTNC2krKSAsMZ5xjsSTn2rYxLU79l7q5bhEiJPSmE7uwpBIBUEnqEgZPB8qrrOorqzc3Z7UxaZLoKVnAKVpIxtKMbSPTGK1Sb1Okux1vONFMclTTQYbS0knqfDCQnnvxzRV01xdJg1ZGhrmvtQZDEdEhCVEBaVBO4qH7x8++KmXO4iwa+fUiz3F+Q5llloy0eC6yRgJCfC/KBjjPFUK+3+431ba7q82+tsbUrDCEKx5ZSASKljWWoBajbhdHvhCjZtwndt8t2M4+tB29RsmJoK0GA2pliRKeXJCDnCwrCEkjrjHH9Kxr0SZ8PSQSl2RKdtyOEjcpas9Bjqf+6rVsv1ytkR6JDk7Yj3K2XG0OoJ88KBAPqOaltapvLs6A6/dnGjE/ZOKTlLfBGdoGDwcDI9KDhPtrYdcaeQpDjailSFAhQI8welXWEHI2nLEbq6pmIZKnYbMROHXlbsFS1k4SAeAcE+lVnUdyN3vMiaoEFzA+YDJASEgnHfit8TU13iWsW6NOcbiBRUlISkqQT12qIyM+hpxOvRGHXGPtluSW1LQ240ouJHAV+CD8w47/AM+ardglybhojVYmvvPhCGFp8RRXtVuPIz7dq5CNZ35M9U0TkmUU7PEUw2opHplJx6kcnvmtTGqrrHjymGFxG2ZP7ZCYLASv3Gzp6du2KDu648W2jTLcBa24SIbbzJQflLhOVqz59OfKo32sKKtaSCc7iy0T/wCwZrjRdSXaLbkwGpZ+ESdyG1toX4Z/ylQJT9CKj3i8XC8yQ/dJTklwcDfjAHt0p1Vk0zIejfZ9qJ6KtbbqX4+1aDgjKiOD26V1m0t3KzaDVdnfFQqU6ytTp3EjeMAk9uMVTYWo7nCtS7bHdYEJz9o2uK0vf7lSST6c8VmfqW6Trc3AkPMmI0ctoRGbRsOc/KUpBH0NEWyDJnxPtfdacUvLspTK21H5VMq6Ajpt24r4shYuUrU+l4qyY8lbjkBPYOIJIA9CAB9KrD2qbw80EOS9yg34Xi+Ejxdn8Pibd+PrXLgy34EtqTDdU0+0QpCweRiivRHbc1ftNx4Dj5VIsLgTKcWrgMqGVEf6SFD6etUK9Tl3O5yJTu7DivlSo52pHASPTGK1sT5TAlBl9aRKSUPc/nSSCQfqBUbt/wAD/anRejcpzH2XQnGZb7axcVNeIlZCko2cDd1Az5Guz94PSj9n8qS44Lk6stuLz862t4Cd3v8Az5rmMyHrf9mzLUafazI+KU+7HU+w6S2RgfIokE5HTGaqqNRXNF1TcvHSqYkBKVOMoUEDySlSSE47YHHNEWlm4XyZ9oTsOFJS4WZzrjbMgnwW9uRuKR0wPLnNbUqiuaA1O3FelSSmS0tbjw2pKyv91GSUj3OT5cVUXNRXRd5RdhJCLig5DzbSEEnzUEgBWe+RUh3V99cTJQq4LDcgALQEIA4ORgAYT7gAmiu5rQy7U7pl+1LcRDbhsriLQOA51Uef3iTk5pZHJjts1o7cf/xrkVC3M4SclWe3T/bnpXBterb7a7eYMC4utRecIwFbc9dpIJT9CKi2q+3K1SZD8CUptyQCl0lIXvBOeQoEHn60FkguuK+yq8JdWohuYyEAn8oxnjPT6edbNamXa3tNSLWtbcRuG05FW2BtDucqPluJOTmq8nU91TbX7eH2jFfJU6lUdslZPVRUU5z65yPOtls1bfbXbzCgXF1mLzhvAVtz/CSCU+4I/Wg7UMXNyzX+TeHRHhvutfFupa3PKX+YIQAQE8K5z04HXip2rPDdn6LdZS4EqjM/tSCvG/8AeIHX1qn2zUV1tiZSYUspTJO55K0JWFnzwoHn16+tbl6qvThiF6aXvhDuZ8ZtDmD5nI+YjsTnHbFESftJ/wDzzd/V7yP8IqfHZLH2WPyYOfGfnBqWtHUNgZSk+marV5u0y8y1Srg4hx9XClpaQgr9VbQNx9TX3Z73cbOHk2+QW0PJ2utqQlaFjyKVAg0F6aLc+w6DRc1hxlUxxtZWc5TvAA9uMV8uXVVn1Xd467LcpEuWHGnWpE5JbUgn8wHhDCQBwc4A71S5+ortPhNw5c51cVskoaT8qQc57dfTPTHFSpmsdQTLYbfJuby4hG0oIGSPIqxk/rVo6cJJH2UXIAEf/U2+FA8HaPpXRuio1rsel5jcO4uRksJcS7FlhpAe3EqyPDV83bOenFVaPqi6R7ULa05GEHjLKobKgT5nKDk+p5rNl1Xe7LGVGts9xlhRyW9qVAeeAoHb9MVBdbdd5Mu86olCKu3Kdtan/h/ECgF4TheMD5iOeneuMmQ/N+y2auW848tu5J8MurJKcoGeSeOtcG3anu1vVLVGlJ3yyTIW4w26pzPUErSTj06UTqa5ptjtuS5GTBdUVLZREZSkk9+EcHyI6dBxRVvd2XubclQH37ZfvhVtSYL/AMzTqEpwdiuwAGcGuXLdcX9k8IrWtWy5FKMq/KAjoM+3auPL1XeZgd8eUjxHUeG462w2hxSfIrSkKx9a1L1Hcl2ZNqU4x8Ano0IzQx6g7c59c59aC2LYRqvTlpuUl0hy1ExpyirCvBAKkqHrgY961aac+9rbqqeqO+/NWEfhRnA24lnPzBJKVcAAAgDoMcVSY82THiSozDym2JISl5A6LCTkZ+tbbTdJtolpk22QuO8ngKTjkeRHQ/Wg7t8vCZ+kIcJm2Sm40J8huVJkhxQBBy2PkT6dOmB58VU9TXTvt+ud9fbdu0tchbYwjKQlKfZKQBXM9ulApSlApSlQKUpQKUpQKUpQKUrFBmlPfrTvQKdqf8ZpQY7EDGPas9ST3PJpSrQpT360qBSlKBSlKoUpSoFKUoFKVjz/AN+KozSlKgUpT/jigUp7UoFKAdKVQpSlQKUpQKVg8Cs1QpSlQKUpQKUpQKUpQY9+lZ/vrSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlAp3z/AL4pSgUpSgUpSgUpSgUpSgUpSgU8v1pSgd89/PvSlKoUpSgUpSoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoOzb9M3aeyy7FipUl8EspU8hC3QOpQhRClD1ArTAsN0npkKiQnXBHyHSBjaR256n0FegWiBJi3fSq5rMi5PFptTTwG1mM2Tnb8oyo+pOM8YqLbY8hm8a8w06hSoshScAgqBc68VqM1T5GmLzGuCIT8FaJCmg/tKk4S2f3lKzhI7ckYqZabZcLNqCyuymGS1IfQG3AUSGljcAcEEpyOfKulo+I5dtIaigQcruavBWlsY3LbSSSkeftUC2wbxHuNiauSZbTPxrYYiPlQI+bJUlCuAOxNItS9W6buszUF8mxIalxW33FEhSQdoPUJJ3ED0BrjwmrynTM9cdtabM6pHxCilGCc/Lyfm6+VXazJdc+129pUHFbkSATzyNvHXtyMe4rg6fQr/wANtUHadviseePzc0iol40wq36Ztlw8aI47I8V5zbKb6DaAlIKsrI5ztzjvXPi6au0qOHWIoXlrxQ34qA6pA/eDZVuI9QK794jOOaM0o8GVuR2vHLq0p4SPE7ntnHWrHe27tB1em7WTT0aYl3a5GnJ8dQ2lIHzYc2pwPMAUjNeZ260zLghxyM2jwm/zuuupaQCeg3LIGT5Zrvad0fLk6obtl1QiJsHiuIdcSCtIGfk5+bIHUZHrXXusCTe9Dxl2tpMh6PPfVMZiJKhvUo4WlPUjHT0NadEsXFrXVtbuy31Siw4A26sqcbGxYAOckeg9c45pFqtuaauQiS5baIzsaLy6pqYy5sHbISon+Van9P3Jm3xJyo4XFlL2NLadQ5uVjOMJJIPpVo0lDlJsOr4jkd4SXIra0s7SFKAWTnaef5V83GBLb+yu3pXFdS4i4KcWkoIKQUEAkHoDnjPnSJXCf0jfY7Ep5+3rQ3GQFvErT8iSMg4zk8eWcVqZ01dnoyn24m4Jb8ZTfiI8UN/x+Hnfj1xirJ9oLnha0gGWViL8PG3JJxuQMFQ9uD9a7l3bvNs1k9cLTp6HI8Yqcan4fUhSFDkqw5tSMdcgelIrzm22OfcWUuxWm/CUvw0qcfba3K/hTvUNx9BmoUuM7DlOxpKPDfaUUOIJB2qHBHHrVyiSG12qLHv1uL9skSnTFlwllK46yrCgnPCh0wDniuBq6Eu36luEVyR8StDnLpGCcjPI7HnB9RRWm22O4XFgPRmUBkr8NLjryGkqX/CCsgE+g5rKLDc1XJ6AYi0SmQpTqHCEBtI6qUTwB65x61ar9aZd00ppiZY470plhhTLiI6StTbucngcjJ58ula7Hbbq85qBc6ZKeU3FQJrLRDr74JGG9ygcEYGTyR5dqRKrUywXOG9FaeikqlAlktLS6lzH8Kkkg/rUwaMv5dfb+7lhxkblpLiAcYzxz83H8OasuqIzqtG6aU1bnoqW3nSW8KKmxvGNxV5k+gyeK6Cw4PtzZCgsYUnpn8vhc+mKRK8qII6jBHOCPTyNeh3q03LUOnNKptsRLroYeK9m1pA+cAZ6JyeeO9UW6I8O5TEEYKXlgjyOTVr1QiQvR2kPBS6pPhup+UKI3FwYHHGevvRVZetM9i6G3PRHUTQcFojkd/bGOc9Mc1tuNhuNuityZLCfh3FFCXWnUOo3DqnKCQD6GvTkvtzdRiA4GXbz9yfCqS8tSQp/qpBKSDuxwcHPUVU7ku8QNMXC3ybBFtVuW4haytLoUpYIx4e9asnjnAPFBTWGXJDqGmG1uOuHCEIGSo+QHf6V6Jo+0z7badTpmMx0tpguAlC2luIXx8qiklSTj91WPauR9lQaOrAhwoD5jupYz2dxgf71P0Lbbgw3quM/EkpdEBxCkKbVyvPTpyaQVO2WK4XNCVw2UFKl+GhTrqGgtf8ACncRuPonNfLFluD06RETHKH4wJfDqktpaAOMqUogAZ8yKvMuFIkaY09KtdiauiI7JZcA8dTrLoWSobW1p789Pc9qjyLndXrteJd2tMOU38O0i4RGSoFKCflVkElJG0ZPbvSCsx7NeoF5gtRo5+PXtfj+GtDoUM4CgQSnGRjnitEiDdbjqCRGdZW9dVur8VCQPzfvHjjA5ye1WtNvYY1DpCVbXpK4UpxK2I8gArZ/E5GRwRkqOetbrWtSftD1OwWHXGpCJTbq20lSmkkn5wnv2GOvlzQqrP6Tu7FvE5xqN8ITtDqZjKgo88Jwv5jweBz6VlrSF9cdZbFvUlbzYcRvcQgEH1JGD6da6F1kNWnRZsiHly1vyhIU4GVttoSBgJG8JJJxnpxU/VIfC9Ep/EyIjOB82Qd4xj16fr7UiVT0Wqcu5OQExnPi2yQts8bcH5iSeAB1yeK+7pZp1saYdmNJSy/+ydbcQ6hfPOFIJBr06RGErV2toTEdmRPfbbUyw8pSQ6BhShlJSoH2I5HeuRbZM2Mm1QL1ZolptCLg24A6HUrU53I3rUdvTPbpSFa/szslzhaqhuSYrKGVJK3EOKbU8lBScHZkrSM45wBVDnZ+NkZ6+IrP616TZLfco/2yKU+zIG5510LCT8zZSrByB06DyqiTLPcCq4SRCfTHjOYdUUEbMnjI61Oq5VKUqKUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgmJutwTHaYTPlhhlW5tsPKCUHzSM8H1rc1f7wypxTN2uDanVbnCiSsFSvM88njvXNpSkb2pkpmWqUzIeRKJKvGSs78k5Jz1zW4Xe5Cd8aLhLEzG3x/GV4mPLdnNQqUpHVGo734inPvm5b1JCVKMpe5QGcAnPTk/qa+RqC8htxAu1w2uZKx8SvCic5J55znNcylKJBmyvgjDEp8RCd3geIdmfPb0z64rYi6T0QlQ0TZKYas5YDqg2c8n5c45qHSlIkwLhNt61rt8yRFWsYUphwtkj12kV8JlSESviUPupkhW4OhZ3g+e7rmtNKUiW3c57UxcxqdJRMXnc+l1QcJ/1Zz/ADrIulwBSRPljY4Xk4eV8qz1UOeFHzqHSlIm3C7XG4pSm4T5cpKTlIfeU4En03E1j70niD8EJ0r4Lp4Hiq8M+fy9P+6h0qifDvV0hR/Ah3OdHYyfw2n1oTz6A4qCpSlrUtZKlKOVEnJJ86xSqJcG5zoCXEwZsqMlzG8MvKQFe+DzXxDnS4T5ehyn47pBBcacUhRB68g96j0rNImtXe5NBAbuEtAQsuJ2vKG1ZzlQ54JBIz61I/xHe/FDpvNyLoGN/wAUvdjOcZzXKpSkbZMl+W+p+W+6+8rG5x1RUo48yeakQrrcYLJahT5cdpR5Qy8pCTxjkA+XFQqVRlta21pWhakrSchQOCD6GpM+4zrgUGfMkSSjO0vOKXt9snj/AKqLSqMpUUqSUkgp5BB5Hljyqc/erpIz49znO7kFs731Kyny5PSoFKzRLg3OfACxBmyYoX+YMOqRu98GkK5ToLi3IU2THWv86mnVIKvcg81EpSicLxc0zlTRcZgmKTtU+H1eIR5FWcn9a72mLy0qVNfvF5uEW4ushpi4Ere8IZ5Bwd3PTuBnpnpU6Dnd2wM0pF5uep32IMplWpHbx46CkIDKkIbJ6L3LwQR1GB1A5qtL1Fe3FoW5eLipSDuSTJX8pIIJHPGQT9K5W7CSeeOepr6UMH+dKRLkXW4yZLciTPlvSGhht1bylKR7EnIr4nT5lwdDs6VIkuAABbzhWRz2J96jUpSJ/wB9XUNNNi5TQ2zw0kPrw3xj5RnA449qjJlyUsPsJkOpYfIU62FkJWQeNw71ppVClKUClKVApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlB/9k=3c:oa,12b:T38fb,3c:o38fb,[V0_FILE]typescript:file="/lib/portfolio-data.ts" export const profile = { name: "Marwan Nagah", positioning: "Cybersecurity × Network Security × Communications Engineering", eyebrow: "Communications Engineering × Cybersecurity", heroSupport: "Cybersecurity-focused Communications Engineering student working across Network Security, SOC Operations, SIEM, Penetration Testing, virtual security labs, and communication systems.", badges: ["Cybersecurity", "Network Security", "SOC", "SIEM", "Pentesting", "Networking"], links: { github: "#", linkedin: "#", email: "#", }, } export const terminalLines: { cmd: string; out: string[] }[] = [ { cmd: "whoami", out: ["Marwan Nagah"] }, { cmd: "focus", out: ["Cybersecurity / Network Security / SOC"] }, { cmd: "build", out: [ "Secure virtual environments", "SIEM & event correlation", "Network security architectures", "Security testing labs", ], }, { cmd: "status", out: ["● Always building. Always learning."] }, ] export const aboutParagraphs = [ "I am a Communications Engineering student with a strong technical focus on Cybersecurity and Network Security.", "My engineering background provides a strong foundation in networking and communication infrastructure, while my cybersecurity work focuses on understanding how systems communicate, how security weaknesses can be identified, how events can be monitored, and how practical defensive architectures can be designed.", "My technical focus includes cybersecurity, network security, SOC operations, SIEM, ethical hacking, penetration testing, Linux, firewalls, virtualization, and communication systems.", ] export const foundationChain = ["Communication Infrastructure", "Networking", "Security", "Monitoring"] export type SkillGroup = { id: string title: string icon: "shield" | "crosshair" | "network" | "server" | "terminal" | "radio" items: string[] } export const skillGroups: SkillGroup[] = [ { id: "cybersecurity", title: "Cybersecurity", icon: "shield", items: [ "Cybersecurity Fundamentals", "SOC Operations", "SIEM", "Security Monitoring", "Threat Detection", "Network Defense", "Security Architecture", ], }, { id: "offensive", title: "Offensive Security", icon: "crosshair", items: [ "Ethical Hacking", "Penetration Testing", "Web Security", "Web Application Security", "Vulnerability Assessment", "Social Engineering Simulation", ], }, { id: "networking", title: "Networking", icon: "network", items: [ "Routing & Switching", "TCP/IP", "VLANs", "VPN", "Enterprise Networking", "Network Security", "CCNA / CCNP concepts", ], }, { id: "infrastructure", title: "Security Infrastructure", icon: "server", items: [ "FortiGate", "FortiSIEM", "Sophos Firewall", "Wazuh", "ELK Stack", "Microsoft Defender XDR", "Microsoft 365 Security", ], }, { id: "systems", title: "Systems & Virtualization", icon: "terminal", items: [ "Linux", "Kali Linux", "Red Hat Linux", "Windows", "VMware Workstation", "GNS3", "Virtual Security Labs", ], }, { id: "comms", title: "Communication Systems", icon: "radio", items: [ "TETRA", "MOTOTRBO", "Microwave Communication", "Broadband Communication", "Fiber Optics", "CCTV", ], }, ] export const projectFilters = [ "All", "Cybersecurity", "SOC", "SIEM", "Network Security", "Networking", "Offensive Security", "Communication Engineering", ] as const export type Project = { id: string index: string title: string subtitle?: string category: string tags: string[] description: string featured?: boolean architecture: string[] technologies: string[] keyFeatures: string[] approach: string[] layers?: { title: string; items: string[] }[] infrastructure?: string[] future: string[] contribution?: string } export const projects: Project[] = [ { id: "seguard", index: "01", title: "SEGuard", subtitle: "Social Engineering Defense & SOC Platform", category: "Cybersecurity / SOC / Network Security / Social Engineering", tags: ["Cybersecurity", "SOC", "Network Security", "Offensive Security"], featured: true, description: "SEGuard is a virtual enterprise security environment designed to simulate, detect, and analyze social engineering attacks while integrating network security controls and SOC monitoring.", architecture: [ "Internet Simulation", "Virtual Firewall", "DMZ", "Internal Network", "Servers & Endpoints", "Security Logs", "SIEM", "SOC Monitoring", "Security Dashboard", ], technologies: [ "GoPhish", "FortiGate / Sophos", "Wazuh", "ELK Stack", "GNS3", "VMware", "Kali Linux", ], layers: [ { title: "Social Engineering Simulation", items: ["GoPhish", "Phishing Campaigns", "Behavioral Data Collection"], }, { title: "Network Security", items: [ "Firewall", "Web Filtering", "IPS", "Network Segmentation", "Security Log Forwarding", ], }, { title: "SOC / SIEM", items: [ "Log Aggregation", "Event Correlation", "Detection Rules", "Security Alerts", "Risk Scoring", "Security Dashboards", ], }, ], infrastructure: [ "VMware Workstation", "GNS3", "Kali Linux", "Windows", "Virtual Enterprise Network", ], keyFeatures: [ "Controlled social engineering simulation inside an isolated virtual enterprise", "Segmented network design with firewall, DMZ, and internal zones", "Centralized security log forwarding from endpoints and network devices", "Event correlation and detection rules mapped to simulated campaign activity", "Risk scoring and security dashboards for SOC-style review", ], approach: [ "Design a virtual enterprise topology in GNS3 and VMware with Internet simulation, firewall, DMZ, and internal segments.", "Deploy endpoints and servers, then forward security logs into the monitoring stack.", "Run controlled phishing campaigns with GoPhish to generate realistic behavioral and security events.", "Aggregate and correlate events in Wazuh and the ELK Stack, then build detection rules and dashboards.", "Review findings through a SOC monitoring workflow with alerting and risk scoring.", ], future: ["AI-based Detection", "SOAR", "Cloud Security"], contribution: "Designed the full environment end to end — network topology, firewall and segmentation policy, log pipeline, detection logic, and the SOC review workflow — and built the social engineering simulation layer that feeds it realistic security events.", }, { id: "fortisiem", index: "02", title: "FortiSIEM Security Analytics", subtitle: "VPN Users With No Recent Activity", category: "SIEM / Security Analytics / Event Correlation", tags: ["SIEM", "SOC", "Cybersecurity"], description: "A FortiSIEM security analytics use case focused on identifying users who have VPN access but show no recent activity.", architecture: [ "VPN Access + User / IP Information + Recent Activity", "Nested Query", "Correlation", "Security Finding", ], technologies: [ "FortiSIEM", "Nested Queries", "Inner Query", "Outer Query", "Event Correlation", "CMDB", "User / IP Relationship", "Logical Filtering", ], keyFeatures: [ "Nested query structure separating inner and outer result sets", "CMDB-backed user and IP relationship resolution", "Activity-window filtering to isolate dormant VPN accounts", "Correlation output shaped as a reviewable security finding", ], approach: [ "Define the VPN access population from authentication and session events.", "Resolve user and IP relationships using CMDB context.", "Build an inner query for recent activity, then exclude it from the outer VPN population.", "Apply logical filtering so the correlation output reflects genuinely dormant access.", ], future: ["Scheduled reporting", "Automated access review workflow"], contribution: "Built the nested query logic in FortiSIEM, resolved user and IP relationships through the CMDB, and defined the filtering that turns raw VPN and activity events into an actionable access-review finding.", }, { id: "enterprise-lab", index: "03", title: "Virtual Enterprise Network Security Lab", category: "Networking / Network Security / Virtualization", tags: ["Networking", "Network Security", "Cybersecurity"], description: "A virtual enterprise network designed using GNS3 and VMware to simulate a realistic company environment with network segmentation, firewall security, DMZ, servers, endpoints, VPN connectivity, and Internet simulation.", architecture: [ "Internet", "Firewall", "DMZ", "Internal Network", "Servers + Endpoints", "Security Monitoring", ], technologies: ["GNS3", "VMware Workstation", "FortiGate / Sophos", "Windows", "Linux"], keyFeatures: [ "Realistic enterprise topology with routed segments and VLAN separation", "Firewall policy design between Internet, DMZ, and internal zones", "VPN connectivity for remote access scenarios", "Server and endpoint services placed in appropriate security zones", "Monitoring hooks for security event visibility", ], approach: [ "Model the topology in GNS3 and attach VMware-hosted servers and endpoints.", "Establish addressing, routing, and VLAN segmentation across zones.", "Configure firewall interfaces, zones, and policies including DMZ publishing rules.", "Add VPN access and validate reachability against the intended policy matrix.", ], future: ["Automated configuration templates", "Expanded IPS and web filtering policy sets"], contribution: "Designed and built the entire topology — addressing, routing, VLAN segmentation, firewall zones and policies, DMZ publishing, and VPN access — then validated it against an intended policy matrix.", }, { id: "soc-lab", index: "04", title: "SOC Home Lab", category: "SOC / SIEM / Defensive Security", tags: ["SOC", "SIEM", "Cybersecurity"], description: "A practical virtual SOC environment designed for security monitoring, centralized logging, detection, alerting, investigation, and response workflows.", architecture: [ "Endpoints", "Log Collection", "SIEM", "Detection", "Alert", "Investigation", "Response", ], technologies: ["Wazuh", "ELK Stack", "Kali Linux", "Windows", "VMware"], keyFeatures: [ "Agent-based log collection from Windows and Linux endpoints", "Centralized indexing and search across security events", "Detection rules with tuned alerting thresholds", "Investigation views for triage and timeline reconstruction", "Documented response workflow for confirmed alerts", ], approach: [ "Deploy monitored endpoints on VMware and install collection agents.", "Centralize events into Wazuh and the ELK Stack with normalized fields.", "Generate controlled test activity from Kali Linux to validate detections.", "Refine rules, dashboards, and the triage-to-response workflow.", ], future: ["Threat intelligence enrichment", "Case management integration"], contribution: "Deployed and configured the full monitoring stack, wrote and tuned the detection rules, generated controlled attack traffic to validate them, and documented the triage-to-response workflow.", }, ] export const commsAreas = [ "TETRA", "MOTOTRBO", "Public Safety Communications", "Microwave Communication", "Broadband Communication", "Fiber Optics", "CCTV", ] export const certificationGroups: { title: string; items: string[] }[] = [ { title: "Networking", items: [ "CCNA Introduction to Networks", "CCNA ITN", "CCNA Switching, Routing & Wireless Essentials", "CCNA Enterprise Networking, Security and Automation", "Networking Basics", "Networking Devices and Initial Configuration", "CCNP Enterprise Core", ], }, { title: "Cybersecurity", items: [ "Introduction to Cybersecurity", "Cybersecurity Foundations", "Digital Awareness", "Digital Safety and Security Awareness", "Endpoint Security", "Network Defense", "Cyber Threat Management", "Network Support and Security", "Junior Cybersecurity Analyst Career Path", "Cybersecurity Defense Analyst Career Path", ], }, { title: "Offensive Security", items: [ "Ethical Hacker", "Ethical Hacking", "Web Penetration Testing", "Web Application Penetration Testing", "Android Application Security & Penetration Testing", ], }, { title: "Defensive Security", items: [ "Security Operations Fundamentals", "Cloud Security Fundamentals", "Network Security Fundamentals", "Microsoft Defender XDR", "Microsoft 365 Security", ], }, { title: "Infrastructure", items: [ "Linux Red Hat", "Linux System Administration", "Sophos Firewall", "Fortinet Cybersecurity", ], }, { title: "Other", items: ["Business English"], }, ] export const journey = [ "Communications Engineering", "Networking & Enterprise Infrastructure", "Cybersecurity", "Ethical Hacking", "Web Security", "Android Security", "SOC & SIEM", "Network Security & Firewalls", "Cloud Security", "Practical Security Projects", ] export const navItems = [ { label: "About", href: "#about" }, { label: "Skills", href: "#skills" }, { label: "Projects", href: "#projects" }, { label: "Certifications", href: "#certifications" }, { label: "Journey", href: "#journey" }, { label: "Contact", href: "#contact" }, 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Let me look at how projects and modals render."]],["AssistantMessageContentPart",{"part":{"createdAt":1787956021849,"finishedAt":1787956022541,"lastPartSentAt":1787956022516,"taskNameActive":"Reading projects component","taskNameComplete":"Read projects component","toolCallId":"toolu_01HNKZuGwPM4MWyWyZZPySyK","agentTurnId":"turn_KwP6ISfS31Fp3H0w","filePath":null,"id":"oVtJSBKtc3QJfesR","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/components/projects.tsx"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1787956027294,"finishedAt":1787956027540,"lastPartSentAt":1787956027540,"taskNameActive":null,"id":"wBpPvKhVCUoaSgFn","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I want to add an image to each project so it shows in both the card and modal, so let me check the modal component to see how to wire that in."}]}}],["p",{},["text",{},"Let me read the modal component to know where images should render there too."]],["AssistantMessageContentPart",{"part":{"createdAt":1787956027581,"finishedAt":1787956028053,"lastPartSentAt":1787956028026,"taskNameActive":"Reading project modal","taskNameComplete":"Read project modal","toolCallId":"toolu_01Tg153suAJ855f95BAbowC8","agentTurnId":"turn_KwMmEp0EI0wtMMx1","filePath":null,"id":"sfpnoQVSes1Nhm1J","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/components/project-modal.tsx"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1787956035294,"finishedAt":1787956037895,"lastPartSentAt":1787956037895,"taskNameActive":null,"id":"PdhMkfiMG3eeAvKH","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":3,"thought":"I'm planning to generate 4-8 images matching the dark, cyan, technical aesthetic, adding an images field to the Project type and rendering them as a gallery in the modal plus cover images on cards. 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