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<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta charset="utf-8">
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="generator" content="pandoc" />
<meta name="author" content="Giovanni Fossati" />
<title>The Analytics Edge - Unit 3 : Replicating Expert Assessment</title>
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2FSxouQtYBE7ichYHbASPB5J1%2FzVfPINn38CqTMws1KKo%2FyvNXpDgBvCI08SBLSwX5Szp6WlpzoPEio8DsNzZQqgUMoq0%2BNMALrygrOlErJohXvIJ%2F0IqziZok6OuApG2eoGAEFsTc6yWf9eRcklYZRO3PkA%2BW8aN5ME8aLNC3Kdwtm64WyqytOEW1WQIg6bOFHAs1ovo3OfCvvZASxBcxg2SRCRTTJDBKajFH0LL1kSBroe6L9xvVxMCIFS7Zo6y4ZOEIkAI9QtGVIKKBlCvUUEq2S8FiR7VkJGbvBFaS6UzQV%2BayV6NKw62tbJbEjkJ7AMC17DK399DZr%2FtE5sUtaAPwaHNj9VCoVB4VAG0iNI9IjDo0mr97FWjYeDRSr3pstZTVZ6nj5Vp3IbssG3g0r9E2eSmHY97LYobIHPnEGkKDJP15WPWtwMgS8HeLd6NEnP4mIFlRJB4zLeDeoBElpUNRIQMzLbRQsGLj3DZhQytDQPLAUE9JWHiLKAJxVTOJNZsObEiutLqwox%2BM51t7vJQhBeQm2i5bTa4D8qIUjqI1sL9G6Vha6U6IPUabeCUMIufG%2F%2F6USyxymXNlfnVinkNvKZGUjz0EWKIgZEC4WkUEr%2BgP%2BFpkIPUVM%2BQEJPxFxKDlpBEeiUSaTgCm4sEfRnBxu0eF%2FLgLp0IFHMEt8aZrsQzTF3wRw8TdpzHNGMZrHHa6nU8KCQppWBVpJ8b2Xjq278mtoTfrgfAMSAm3cYEcDw%2BzcSsXTaUyd2PH6DCU0DdBiauxpsyoKlAh9IUAzS32X%2F0d3x7h4gL36Q5sC4YzkbttmSwhenP5pxxrBEEcoAohUGB1jHGtB2%2BI0FEcCM2y8EY1e2NPXJS7wp7APp46lC7gSit7FEFQCIDnNX%2F196lJs%2BgXTyJrXAze%2FQ%2B9GEFC7p5W7W5FEooh5QlO01B1OcYDH4VTmRSO8fHPjRo4FkT9GrnUZw9pXnDplu0YFyOaAsLOkxdsu2gfYJ%2BDzBNihSUutbDbDy7VKS3KwwUTChYQkWCmldyS%2Fy05EvDGbLbpkDfbbHNGEhTSiaAEDmoKTERX3pEuKYJT%2FlNS4IawkdDACC5Jk4hgNa2EGV8yblsXoSHDrqHDJs4JDXLLA67oCyia7LABDzBMInY5gnZCpFuyyuaWXjKHRgy409j2wNaI1bGlosUnhaB5iqHHZf2%2BbDPpsIwoahsWRL69BhhyPHQBUNCyBR%2BUJzMOBRMxTVhNsS0%2B1n5kboqmNZcC%2Bt6HYVscRaBeox%2Fvv3%2FxwdoUoRvs6CamykRGihd8HTNaL%2BxRuoo3QVZvFT7xS9opWLiNbQRti9PXbNg0J5WDsxaNesdmkYOcwpiqsURuor%2BS8hhgWniGGll%2BtD55enFSsyATy9MonNXUJV5Q7eAouzR%2FP4HlA5YWBYYjm6NDAEk%2Bx9On0MGm65%2FEm1GKndnRp4cv%2FjFAdM7hnXsaXnGKAeK4aE%2F6BhOq1%2FAWmgCMQ4zC8G0wBzhuMSeeVhgAl0jpwicoR64K%2BBYlYbWz0gTGAGtI3puhx3F5%2F5QKXradYFuhJPYWq3ITCUUNLpugdVBegedngCO%2FDN5mJBWzGEL932jL1YntvCgzzLeR0WczKl0J4g8Gcbo6p5LOslpYBw4kE3ZDMiHPjBGyAUjkrWXqYTrl7gRUwex0zKVekIhoI0dsFRDtQxsLctjOlRs5Y2gYpQeBORQFR4C3hXh8EnZUzuloqFLFATXzpzv6k5XoHB3fZLNUiPV5DvAfroLwH8tYhkcOxWnHqePfQulM0DCPTadXa%2FTpoHYkh9BeeAwpmi9Kbo%2Fm88ob17pFzKP2lJpfWxbyD3PccS041A0MQWUqNDHOPOFt57Q6TiHQEKJQsI4v1JqcD7Q3orOdsLvExRQwS0nlUtV%2FpQbx0wSlrRSneWAQ%2FJhPaT6rMvIcid93ahrnKe34YxGA3D30BI2lEiLGh5iAUkBLBoXRshvpjGJGLzGcvonIqzVubgEJv4mbEl7JggQUWb6AYaQMmGUXEwIjylByVLbgcEbUQL5RFiRkX%2FbOhzb9XavzmFpR0cOdx3etgoaCPbiL5gR8o0wJNdPMCYcmyP0SDmmsW8o0O%2Fy5HNRxqz3IhmaxvIT%2FxpN8Pj%2Bx4i%2FGawfTOod%2BpvHN9BMNQUKG555l7yAKsma4r8JwVm6gxqBECXHA3e%2BdCsONR41WrcokynYzYqB0xlCdg9Nu%2FVL4rgwOiTVy8K70TghEjAOHeFBYvGwmkrDIzlwQsyBsr3K%2FEBFKO8UQ6J1hU%2FYGFA8fGgTnBoNnAmZc%2B9S%2BXnpbpJ4QKgdip6TZnI6woSQaYgxGpdaxxSuQkxu0avCBOSwchx0SS0x5HgR6iz9AkbeoDFTnGInFfbnMUP%2B8p3uSQu2CVkHxeVeEMICXKlVDsj89UY7AfyMvxTyws7ilT3y4zYSLVToLb1IwDJHJ804mZKVSKgSOa0mHCQrjWQLaz9LrCiISicIHspx5moJ%2F3Ng4rjU8aMqTDl5gjJAFgAMupkEoWEalYEtHh8CvvMqUP0Ra4v6BRr%2BdgNXFRLo%2BjKWRhaP4x63qqfsnw%2B%2FlDAo2doOxQP7GwahE%2BiZ2OX2l5DodFT8bGiL0YglcRmgDoYIEaRBLqdbj7HFD8xfZz45H2Tg6upN9XjuGCxtdxuVuRjssowtewrBo9gBM3T7d77hNjF9rd8QTMjwGLx3oWax6aa17t0I2gcG6kcQgw%2FphwfsB4gsCGgMGZU8P%2BORAg4iQDmTP9XqByg%2BjtRqWtpaHjiHSL8CNah084UP6Rfjx8GU2eaRw4mH%2BA9Ad42DummqhAj0%2FeMNS3V8lEHUSc1ntW779KspgJUBtJQEpS59ODiBRghAyioIrf%2FKoPh0eAJWqxh%2BSurG%2F5xVdzZBLgKEiYy4izBuKhCRIhfoADEt%2FB%2BirTWSOZVkcfzWBbA%2FAO817phMFhWQnvTwzjirEna6JgrjgHyk%2B8nWk0k06KkkSOOryl2OrOta3U1Vai9SLWxcE3cY161P64wA5VUgBExRGc8qtWCkEHIJfWtybVbTm%2BhrXnbVSsP4ucJTC9onJ8N4r9lRaV%2Fc4a2SZKmPNCgEUW7LDBXhvFxUvZYtnIuGD61WQtIrDXUc13hksUbImFeHrIBgvnG4ogmKBk5CClzY5DWqCCMzdrHBGSSOTyO%2BE8inLMGSApQqKJB3XKm%2F%2FMFoO17KuwfwqcaqjAyaJ5JOWW1Myr%2Fs7ZQiw%2FPqVAMH%2BlK6DYqjGUMcAXnVxy6z6CDl6j5mDa5EG4j8C6pr0hKyRNnoiR1vl9DWOfC2%2BM4v44bO3onXro%2BNlz00ZlGV2ICJ5CcCazVCJHIETBqVFhGT7KSBdNDv5ILpSacSTL0S6fX%2FP1CEIT5NZgcwpI0rkV7LqiHRoLUAPjXEqCZ5mLntX5JkkUEelCsU2tXCMZ6cZivQI6hYQNbXl4nc1sSNtBUTkQ8Y442KxRe7Uy5yOzB%2BUlA3MhvFmXweJJj%2F%2BG%2BqwJFWFLNYp0JhzD%2B4sl4JYn6a%2FvShCCo8hchMfrswjZgUqiToKfoOGaHdIAnKE%2BiEedBkyLwMSoNVX83TJERFy8PLMpBjsXtBITuS9lpPCTVl%2Fvs2Aqzlzwnj7lpl6VX%2FQ74tWqUSzaKziwue1phr9BpcZjNc%2FGXuJUq15TMDnCsJS0X2wAtW5JQA5MaTyUH4cDRif3MDxZx3Se89P4WSIvEEeLjToJbXf%2FrRhBMtRevJxuf%2Fs8EK4woZOFli3yTq3xqjBjrlierqgmUpFA15HFkeUOuLDjuhzLDjAGKK6WThTynzd%2FtCQWU3Nzd8%2Fa0q%2FxwZYn%2FUPEHU6lsdG%2Fn8gN%2BYACURCU%2BW%2FldrXpdUK7WxhgWmNd%2BLDoQFCU0sFyHn3KqFz%2BIg9e2C5oe9EOi7KdTBxPE1k4k5tkX%2FoZzSih8DJDFd%2BrITKNSsAAGtscSW9VDasqkEamMzeUOhRqRRAj9lc%2B7An2YOdL46GdcOLAsgYaFsR9hs0ToUzZ9rFRLG1%2F7eYLz1l5ijumbe1druwaHNFzZjtwt%2Bn7paZaMZu2EIx%2BlxX%2F2SBrWJQQM0wmE19eWrGPIVMeAzVWWRp76m1skeqzaBBZ6So4eD8Gpv31bn%2BnO4WG%2FOg%2FB7xQu9kpA3eZL3w9cwzrZfMmbUSk5OiF3Qx7bQYhL0VoUQQP3Hmps1bBJDQU0qAJpWwnb4iFOMBthzwP81ilVnh1bIuk0C9Xe%2B1kSK%2FK%2FMYOh7vIa7ghqGEKzCiHrehs3cA1pzgec5NpLDtCqMPp1GVECA4QZKiZX0hQ%2FGqjOhhObmpH0vwx0WHctTrmGC84Ub6BOQVdXIqoxqMVNhQjd%2B0CYMRk1zp6%2FPnIOsW7k%2BhQEruSB7%2BDEGv1lziYEEwur9gsigQBG8EJ3zeigdA74WvD0h2IbdNzPw3okAFsdmi3qKH41lxijDPDtvZcEzXwUnRNn4WpCP3vPNHhO8czUiYjRn6GRIQ4SymW9MhjUu%2FjbWOhOqNeh9OSRNh1EaFZcalxYnJMLCpTlEDttzYxhNCcZ86PUpbEkFmkU5HRiAF9AahZ8jQ769NUzJGkq9YLj9HWZLEK%2BIryXyPLZHAAHsBSe5moWq2RRQT655EACRYKQ1AR2mNQU6hNdrqLyfpSeJ5PrccWf3dXVxmIidWyyIkCm1v1oFYgyGcXwrCRPXPMLYHRFvGVuYyAUhzgYntJmDhE4VCNKoSxWlSFiFuMGumZHJnCJyAdT%2BHcgUhIEJZgWOjmy%2FZWisKRYo4JjuPntQGSxlJg3XJ5DBsFM3kGGQjqECyjqYFW6ccOkCDy3EhUt6taBIaHclyblt3Xxs353KjciddJC7gI4cZaPj4zBxOVNfei9MW9cLUHspngSFFni3AL7sLsbqo3totPWMf0yD2bdWKWuK2a4eF5jKcYCZyvORgcHeETtqeqhAYtIyiFGAYJQMOX4VJzPjyDKiavWJRtjWCnaTUdPR6FRkTfFAARc%2B3Ln3oFDETvxxiaDT3roIpaWwEEjRlhjvs9ZKiU2o1HJOMuVRFAA5fWzMgAqSKDaSLNQcQZbaFzsgKxXWIvjaOqsoiS0kA1bx2TN4NrJBVMJcmRWNIqrjepyobiDa9yXYKmJvgQWZhEBvF8wEx0pMQqCzcf9JemmcVMROHpvzARvqDrI5WOXmah0Zkh%2B6PIozOYm78ieRAJObTPxSCLuwQiRlWaLSxJ5hgIIrjsEUKPWMqRFuMgh1FsNDFw5jPGKPTWzyiSEIS6IPweoS55G9SZZ6wcpW%2BHYMSkoSETssJ3QQM9bQRo1JdCQdS1np6F5WR9wujL48y6xB4M6Y7FMnX7f22J6F5gyYVK0QlgEQxVXFUuC964aXqqhT5cX8XaZv5hVzeTU7bSoy40QuTOUjLVShZVi5iWJMAbFhku4I5QyO1x0Pm%2BcTesk5XsjnzwoAIsmXCFbWyIZQuawuVuXuR8DK92lWJDrNrbFtNbCj5sTTCx7e2Wb0UydtbZ%2F0CSIT7OnVIY0fRntwN3jNOdh7nGpmmq9CbBm1uLafMptryjPHHp7tKZEuAL7OjXHySRjUkXydXE%2BSrNxA2Um5Al8Dh3EZC5V4SFynxsMTKCAIMqEqNKzuJCQM3tvVBjRfT7xHSuCO72a6pSo2wn8%2FaXBmKI9sW2BccnPF8aML8%2Bohhb7ciWy%2Fxch7McUey2CPGCyVKaKDX8%2BSBNgqZqMLbCgZ4NPkIF6NfeH7gtElIrOqbudNqU8yyyewVZneKXuzObCUxU5b2tecTa7Jn7SE6UlSYMTkMfCs3Q7fVCaqK5k6pf%2F2wW%2F%2FosIJEgW3skUNgQHyb%2BsAi4ECMNcyjicIITuXGyXkkRIXyN50Jg3r1FpMmaQSUl9pGxnNMp8jf24vS5eX%2FyJYlMUISy9e6JooaPn7fiuG4QEscaDgCZpra85ygZUcJInLV6C314YPJdG2UL6qljb1QV1ZhrNcFecs0j2qb5gvkKHOFxHphwdBgEJc3y8qihwdZCQpJ62h1voTUccffiDJEzkU8jbXRvLFdPbcmVBUhArEuTKQFe570IglefLJ30dWmVAtx23vIGmF7N6auVNpZUQVHNmAlGgjNet51laJgLQSpfZyxBEqLwoCEGlF6ISp0NUmhUHT5a12%2FZElPE5UGO9AVnKpae3D5llVvXAHK0FIH3uE8AXFPF%2FSwx3OdCN6aViMIxEVcqv1UsLJo03R0grVOHRogBCiYVrK%2FqFBPmGrDyXLgr6DxBMSKnf1uSBgiRjCiwL1QoM981XHZnusKIVJ405xXwx6aBUuM2YXS0jaCPwaC2Zdp07J8gxM1KnpWMqNkRCfPaYTelLbBmd97YeNAOFaFOlV29YQn0qIInmIeMFxikX4U1pEusNYtOX6tKZKkgVONLhIF9ZPpxNWGA5fslgv82Lx49LF6FltT3Qp7q4Rcu4hKczn2m1GTA4unFBAkDCqY%2BD5s2dyVIfDeGeBgwDnPbGYXQqwM0E%2FBCl69QtVYbUwkQZAtSB618VkAzCPAs93Ip9qWnBMX%2BRUX0PFxCACZQwpfvNvAMGrD69RE6JSyNNOvRD8v3gzw46n8oB8mFQiYiwgidAyJgrfY1SaNrL5QDEjIIgYLECALRSK49wPmSO8jZLnesJ8oFZjWJyTrfBrNRCeOMoaVxOojhX6WVAhhJ6dvBPZ4AbMXC37YPHBFKUgA7t8mCk8U07mFgWg3wbOZDgsEZBOC%2FApoLJL8CzpXhZuoEh0ntzsvrUPhE40%2BUUkCAm26DxGMecbxuJ%2BpPJct9BZL6lVcWLmHps6SSRwqmRJeypwrd3vNnIawZkqBn%2BumMrwB%2Fc%2F%2BIAx3X3Ehjr%2FzJIVUK8Luxlv5IeNoBQPnIhvJDZfGo8KIpLh8O4iRusiuQOtytJ61yCvQUGFmCxEEliRlQmkN5wrVLkx3CUrlDG3ABe14lLsoysj9hXY%2FTJpUb3tCvpw8Ez7Wb20lfIScq%2F6wGFIrBkgzjtNLBoYqAgJoKvDHcdkTRNbmMKP7Fha6v0z1qPmfqQzKW%2Bi9g0kSWn1vQuqaJyaTAX7hrJwJgfaPjJvb6wXroHZRAD5NH2E2KaWtBw9TGd9mIea9%2BPrxlBpyjnQhg6rLogT7414uB8V19PPcBZUhnNx%2Fhr1%2BtX%2F1jKG4nnHv2EtR3VOjo9oWEibOHX8508Tra1pFg4lnAwoQ2u2JcsDi7diOc%2Fuhvd8qexCvYgoI6m9VYAg7Vl0PRXiuCdgHdKDIIHG0j73u07ULaOJJ60Y178Lsgtd7zYdOUGlMCYhR2Uhyglt3KUjPCpM8MKjVS6OgTHgqD1SSQ%2BqhzInvSk8VzFP1cI8vLxtdDvH35uPzMi4mQtJCrVUqhBWbQRke9Sjt9laOS7Y9YqUkXldpaAoofKmUNsx0D7eYLc%2BspsKbO71qdmmaGglAJjo4kj6XlnIWS1hQZORC%2Fh4i%2FCdcbaFFuxb0AYMJ7EdQExeIHEdPRtCxVECvtxHzbEyldDvie9cGKwImUuI0xEL9W%2B7FhefRJ05ePV427NJDYmhOCwBDNBP5LrIiblD6aw7pSeWFA%2FlDoWYMm%2BZEcF16VDdA3ALq7hDBlLUzNTL9AoVyczpCwb7xHucfK6T64W0AnDzYLg0HYWadOMPdoP%2FlliqiAlAWP4rio6stY02elA%2FLOPBnEr6rsAqtMRsS2g6HJtNANGwpxTdZEP5Xt5mE2gPs7dE0gyQv%2BFdd8QTBEqmAeMHtNnjBtKvg7KmIZCj9303GT9mWQXZxolBupTHIhJT%2B0WN7uu1FbRp6NnSRDIj1aXRJD25s%2FAD5%2FIc2OQ0iDp7%2F3Dbv3Oa8McFBhXrPpAKzhrFANFpcnLmEVTXjq0MO5sJAPVxFbMh93VfD%2FDppG4mBzXSgVfXJeWNNxoKF8QTwcQFXwQPB7QLE2PENdF%2F4vDL9zn0ZgQ1i6Nyr35KAwetsESlUtEENQbCFOeUFb9lg4Q%2FW5lUNo2fsscGbWY4T6pynpP0Krl%2BJFEfY%2BGGHI3aj8aBO0K%2FndAEPa5FX51Niq7CEOhoB2hSpGAgBT5%2BuzxAMzSuVEeQmZIbYew4tM4UsHYdZtT%2F9ibeR1u6rlX6lBQlSBT6LQ9YUEAgmAxLkAKQL9PSm%2F3NQF4w7ZvdqRqMJ5DYZh3j3I1rDmyXyti0llyZjkLnoPtHHwZd%2BfwWVz9ztMTMCFjpKBVWAdcYhRV6wY0kRv47nqddzEhQvXsqNstE6GNiLTd8iliAfI5vfm2KjfTQwbxz2uFzaUL0A9VKWzB7VrWS0QvlqVw9VCXOB6RDSgbNtW05PB7pEz%2FHZkv%2BXQTUD8mSQ3mJk%2FEUe3%2F2ixiuDVAOBfyIscXixo%2Frh7BHtl5KSBigokAOClzsk5pj5X5S9GLKgu5AbQNotZBWU5zoIzScHQKjeFNr0MiX0Mp%2BlHmHKuaDcfU2H%2F%2FhJmeXl1nPE8E%2Fk8ULZ%2FCLYtwJWG4CHI8h5ySfOAFbkRVFJyi0KYkQ%2FfhDAjciw08ETminGEMzG%2FwOERVW0AEslZEl4sfr5AYRKGVSMzkDSQ%2FnhkipQ8y8EF9ZRGKCOxRzfpNMubhc%2Bs9lZBHqNegMaRLozjP%2Bg8CUsaVzp5Wd0ZI5SaeSdNAD1HIc0vTPw7SLi4Jpa1gGgtEY865KzsFCn6I1RvKT3r6BVdYGsBPWdVzeLfbxKi8BVQVzd9f83goEpezGYiAXT8S%2FpW37TxnZ6f%2Bog248Vvj9otMMAmzAfvCpPYmXIx6ZAKAwBH737j2KJpWyuPMnFIBfqRrEBYiTiWVjvdx5T7k0dwFjgjLrLVm28m%2FXLNfjkSOzkoh3hangxcOjvxzVDIGSxYBxI9ak%2BDsrVTPAlMWZD7OThbuxdkWjCtGwtH4QzQdpmaBsHV8Yrg1iAK64TC2WMbQJAFFciwJFPSRQ86OtUrnPSODgRE%2FhD4qWAHDlWBDy1KPUCEbpodyyU4TnaIFzU%2BtJJAes10UhzVTNE6fGDGUN33wCgAZYoIz44wHk6fDO7wGbAEwmcVQg1HGGByFjYGdwJD1joA5AM8olCJ1LlTUGB%2FkhlrmbJbCbD4Uj0GZTy06zCTjOeVkJKZzqk0nE4%2B3RmlgDHpJwCwwZKOl8SEEH%2B8TQK7R6TiIPAy%2F5M08zWqjpXg4KWF%2FMNQpvipZJ4KZfGsivxCXyinAY16NjMD%2Bkgtfc8pGpAgSyN27l%2BuW3OjjOCnldBAJLpzjAYdBoh3b0yuYkLj7c6iwxR9NHW9WBeGVYjvaTEHVq2t96HA16vtKz3ZgtNuJgpjnNZRGEjbmQuiQEBJ2BdgHxFDqf0F1dQJcS4sIvDHlCASh65anDjgr07Qa98i8Jb1rAbSdOOz0cM9wlKXm7ugzOMTmi8EbeTBIoHrudZ9RSwEtADDsgyFwnxyfzXecDzLGFMmkRrGWCdnWVnSMMcc4cl7NaF%2Bt%2BgTHgy9s1SV05LLaw7YYgNxNKt2kpiEgpahsRp%2F0tarSWdfS3AdWYIAnrT68WTwX1vtPgL7EMcIzmOpOxL7oZh%2BcoizveUkJVmjedZZlkwkno1E7%2BjVJIoz8APlgweTgHUL%2FGciPnYgtfrq4TtxE4adiNQ2ZgyJHWYWmrMlW6ebFkPaAUwzKsAhoGXxXGRGKFObHKQOqFOnGgkyLajFNwhUa4fqva2yI2DlREZ6p0CNOGwR4XCrS4K3SH8pDQGvZIaDcMPtJUoLRM0owJ0iT9QcdRK5IRIIpAOzsUotf3TbAVvbQH8n5voA6kUzw6LqVnwPkmnYxgJLYiQ7hQYlEsYL4k5GCZvd58ypvZfwO5t1fXMTj11hE8GuAZhX78JMPsK%2FJ0yQqDPk4Z%2BJbbXS1tia0EBwCjgWUJsUI18clQ%2FL%2FH39pOY3jRcZFFfW7bC5v98f%2FwQjY4osg1CYvJfYmKVWbiPLEpDvlTEGLjUbCmh74cUqKtsVVr9hspTEdTKrKSRjqUHkhwgyUQeNizUsUp3cLmGnOoxPIuzYDGHFJxwclXasrQR5Pp4%2FX9adXL0zyaNRcp5govE%2FKIiLMyYKgb3rKpuxbm7t8U7GiR8qcIvzarYOuIr0z8D1QgHRWmwQj1jMXJlqpuDBiVUQD80Fnr7quJElyEAs47dXRoms8yEtA2VxNaYbJmUQ%2BlsKhyYLlk2q0QMXQSsMctgTGOka0GYae3AxbsfNKwpf8YnyAYZzDx20P8xvD5aQ4OkVtbj%2FxeO9gPGmBGT3BiXsWroQWXXm7Mw8XnUAttSlNyNEsqWLOLy5MJLmMa9m7Abm0SuOJF9RWA8VDp5xMP%2FI6LaAKUmkqt6%2Fxs1XyWrgcDo5hjmvshCSHhWpwCludJPk5i4bpUhqFw%2BRmK4VAI0O11JGtbQ64l%2By0LUdW7GarSUUwP47kW2CYDEdvsA%2FTXw0I4OPf2SvJ0FKjn7aZxxwVp2xjhpWMTDxaZMkiOxaFFLydXq16fefH2qVJybgXVpioGcKFhS4AjNTEa5T37zLo22Qv1apFD5qUjB9w8yA0vSc2RMiA7xIsRIGBTWOjHH9SZlK6QJGru7w%2Bq2GoC22fzSVxkr%2BWlT9rAABqi3RiLzDxns68PSEUIxqrqFw8oMUhIeL%2BSdTHAvw8M5C0b29DIIfScMQS0TKwvPEq3kAQvxMTC0D%2B7tnB7QNRliGiWl0NuVnIUY7QMwRkP%2FgVT2WDBX08%2BWLDc%2BiW0mz2CZ3IAvWqesMkIe3lWqMvUDL5Q33McSklm9U0P9SHgPGGVlX40diyUBp%2BpfWi%2Fh9sKTOvCRCj%2BeFIWvUXobOyAxrHlhKFGhOiw1vyKUiNMgN3k9No1jfVEpQEU35laY1OWX0u%2BF%2F3AcQq9opTw0RwEyxVosGLDgIkSdn7hs%2BIHrv2jR%2BJUh2kADlTtyX8HxtYxLUhMLj3%2FFpJAhfxzoRspqTIQicEOQtI1iv4n0xi9GiED3BLS%2BriXyEyU1v6KfcGAWCaq%2FgQ5kImR6wna1UoP6KtpT9XLI4EebxCRQriHsHkCOgDlZM8hJEHcCfGIERpbdeZFFHtE3lBjH2cIQ5p7TNVfRTwBkflxGhmddY2YfZbMF0bFv76YdpbH3dxSKmVVsblZW2xdvOxqSIQqbw536IFhJKhELagVlMG3LQqHU43e%2BRZjx4BJExsLcLX1oShyJFvhFevBTFOUF3Exw2yNBWwMCW5QA%2B7UmPhwM7AMOXRddPg6OxuaNAmiDYRKlcHo4FwUeta%2FLSOUyYddHQi3OFkb4z35KYG%2BxJAOZ8LTMyJ%2FCgARNXgZ%2FC%2BfKy8W7VwKPzhRpDnIMS0ClN6sPMpa421GfuLwApsG0C4FpdCsaLM0NtsctgKVSkeql94%2BXUmITqdGBajY4m4NmDFEk2HiFjYtNLmZSxNY1QM4KakEvIQIFts%2BOJ0QCRKvhCmQcfRAjN4VmYgb58CBUMiSUpcyuEfRFZS0SThDQPO4aFcJiNJUvlFdO0s8RaeSdpOSHscV%2BJAIchHCniOYTsEqhdLZtWVSiAw6hEDO7LI4or%2BkXTE6zB0CA9o4NUeZIpS0Fn7Q8lU4X9sZNCO0uPfjoWqOaqDVcbxBJSAs8RV9IcKmOPY%2FLDUnXDLSYfFT1xyNTWRLKRW0kFxctTIuvuU6R%2F%2F9ApGo0EHrqGH7dEmsI%2BgA0UXpfNwWFxUHz9CYK9toXP6IlTFRhuGh7z3bhwL5qzzoRAF8dkwboKslbtuftJDrshFMoBNaIvpSXyAFRCCKFOKEkzCkB3NDQB2qtV%2FANwHNea%2BAUDr6WWScJazRx4glReLp8vQ8sFtz%2BhqehlJO6MM5NMIc8%2FkWnwbE768NqCDKBi%2BpY288WynJ1CT2Kq9%2Bo6rhlUpRatsVIsacJhA%2Bq8M9X%2FUQMRZhshDAvsXwlZfxDn%2BWCfyJyLFA2s54on9a54PSC3WgchQWZLZgEl8xGrFUqCofhkvqYtXjA9XyewEKlnAtD26XlSvqtdhXOT%2Bi5BrX6S6hHVcqbZ8qbh%2BEzffUpCfTG5HULg9DQQaQ6ENkkq3DvUSAQwcxh24qkmtdRoIMDxOVDdy0T2w3afIBABsQGxnqJaAOY1gWawTUuhslaSivzrXaPcRyGhUkH0R541UbNvLKiY070WOGYY4R%2Fg1rfKhHcjoV4p45o21tldJXmpG0XsOekNlYucZlkAWkVUHtjkSeUbdfBMKrGATodKL9arS5JFVovaKRlOWbNJIS6GHxuLt8CX%2BBYQUYDfxlQrQQhL7z6vChINNDAVVN0rXxaKjegwIPOJf7rXfHBBHGpBNpaeLGFXCBrWAdpIwF6mcE7pE2z4HdIxcWkU0QA3TKjZQ%2FPNc4VwWA3OqmXuoleHBmMRLsU3ENaVgIpVnIWvBLVDYNLzVRdIefms6mo9VoRQZ6cCkQSOdK6KDkWEMZkQyIEM6QUltTfQ1xFpxUL%2FlFho06RSy0MhFQCIEh5FrTToDEgpZU4QcT%2FbYWc9XTPTTM6ZiDUk6d8MHSyFOgi3cE0Oh5I2Tv%2FThHNjxg7A0zwweFEVnLpE0Ai8Q9OWYcdB1zNKwLEBtxjc45oHjshf4AMMWhwwRhRdBnjEU3iL3TIBscW%2BvDMwGJnW4omSkqIJxsnzyWwZBg9lQCsSZ2CK25fZnAEtrlT3WZ1xUoqsQBEiEMEmCZAjQU8EhBFQSUEVhPwf6Ekh%2FQtYOKDqg%2BIfAJ8CuQ0oaANSG8CrQwYJAhV0I0D4CXAOIBYAcYMUAO4A0AuQNYAwAWgJAFzA9A0AgoIOA4ARIJoBoDTBVATUAVA%2FfmHjl6j%2B5Pa79V8K%2Fh%2FQfNvjz3P7ler%2FHHh7%2FPw68DnObsHvPy3cPPA5wScuOB7qBzX7b8SuTXQrw88fvOjUnszbV9wOhztB3%2FrTR53FdNbVFq3a82jxmuwOcluBDDjLjOjALxD3%2FQiP39Y7a5Rt0oNm7G8V06nAGXPxV3oiByNCcCfXAkpuOrai62YwdiJaYXnQsst7b8q9lbH1AhQ4fOtIhMRO4kqFfJyARyYkd8VFgh1WJGVCPlA1ZMLjSDAUNwDDwkxBcqWcEmILYipcSYqtCIqlSAqaSAqUCAqkjRU7GCpiLFSkWKlAgVIxAqRiBUbDiowGFRIMKhYMKgwKK%2FYQV6wYrughXTBCtmAFaz8VpvxWa%2FFYZ4KujsVY%2FYqr%2BxVOdCp85FSnwKkjcVGeoqJdRUiaio4xFRNgKhy0VBtoqArRXysFeyurkV1bquqMqqonq%2Bh2r6EqfoBp%2B%2BNH3jn%2B5M325m%2BzqX6%2F4%2FrnjqtKKqtoqqPhqmWGqVIapJgqjWCqxYKqxeqp52qenapVdqkp2qOnaopdqh52qD3Krsbqs1uquGqqZaqmdqqVmapLZqjdgLkVYtPvgiXswWobLWxLWyK0qjACE6uL48VDS74vVFa9UPr1QitVAa1XzWq9S1XKUq4ilUQUqiClULTqhKdUDSqgSNX2hV9IVfB9XkdViTasMbVeTarwZVcjKrSZVYS6q6XVVS6qiXVCBdUEF1fgqrzlVcsqrdlVbQqrWk%2FZ8n7Vkfagj7JEfYwf7Cj%2FXof68j%2FW8f62DVWIarWDVaUarJi1YsWrEC1XsWq9C1XQWq1iVWMSqMBKoqEqhgSqBxKvuJV7g6ucHVwg6tqHVrg6vuFV6QquaFVwQatsDVrwatGDVnAascDVhwaoyAqiv9UO%2FqhL9UBfq%2Bn6vB%2F7kf%2B2%2Fx%2BtVskpnZEuCUxHC%2B%2FYuIK6NNKiB%2FEzIk5DuCcPq3Ew4GQBYmlqw4gUEVMiRKFQwiMCQcTgAAAAEDAWAAF5ItM%2B6bFophhd3N1nA4zIKh4NARWfqCooqII1UQ4kBYJ2AQsGyO2lAp%2B6Xiqm%2FCkfz5urtugisAuGzxeNHQh1A73Vh4dG0%2FNDkMQKtSO%2FBTm3DojsrbF3jq6kKdaxNxwpKvTKteAnM7mCQ85oHLN5AxXtO3FxElkoEAFo%2FY7SdVN5daSO3q5Y%2BGBpQAYrusw%2BEY9%2FXMmtYT6y1gbXXfGgzHr8ic6AN9hcvHwEYELAoOjr69A1yaVwaL10euR3YUZUZvQl5xZXoT8YeJLqVKFrjMLT83%2BN7REmekLvRn0TLh%2BZMzVhvjjOcuh7%2FDGoSIzhcgAEyu2q%2BgmErl0SoAyvHf0gOOHkuRFZQSSkFEDSG4HCQ838BiFt5mdNnEIYrPlCai6RoN3%2FEdkyVeA7o%2BHQvKrwD5CYAAo2RJZIeP1xRy%2BlJaWuskPYYJ6GKPdNLzxcio1M6LXHJDQbx0X1i8B9YnLsQYerRiZjBe%2B2alDqaPIASEoxCeRAUMVuivCDeCNo43Zi%2BmFz4viBZJrJMbwxhXGCv8CUG%2BGpgMJzaVH06hQdq5woKyZyKYDByVHQl05OpUqPrSuURMAxrqnfhkQENbMcnlzk3MLnnmnljBLSdHj488rWP0ithH7Mq2sETRkNmgYc3AZSu6gL%2BCk4IDhPtHR057XmxZs5enMzU7IR5rdjAD5bhqPdP0mGax4%2FBC5rzvd%2FNmFSTuivxBTftCPQY%2BTO9CX4l81r5FFfrkZ1yrTcaX%2FE35vu8hUNdTlgS2iD0q93mIVdiG%2Bzz6ZoWvKaG4axR1VGYKVxYs%2FhBQR7uUeb1mU%2F3VlT93WVa55WteFObdmuaGauUaHua6G9Lh9q5rpXj%2Fwgi3iPylvEGKzMA9lXBUjbXHUnsEBSjM4dcmrgF7f0G9lwAQt4RLmuXHbpvBr9TrIO6tAdGiB79MRHozMKD8uVjof8zfR8GjzHzhs033A2Py%2BejgTAGqXxpL%2Fw2WVk1lFTJqz%2B0kBeRuJCR5GRySPRQSmUbztwmWP9kLIWUhlXSVdCicr0AP0QVDW1JhE6NsgqFunp2ST1zYgQv6Qnhu0JlL3GiFmbc6pMG8mzBJsoRi1z3Z5NTM0f1ndDFjciaUQqsNg6uq3fi8dFUAWOQGs1VX8XhLFmvpemPhnFsJ4EJp5fMYZskQQsqfYfD9NJDx6cnQ0sTSuR2L40hG49L%2Bmrs3RoC4ghACgxYOijJAtdpXHsZI0rFXEhZYgy3algwWFOreuLxQmZTNtXroCxgYhVHmAFChJHArQSkYK5FLPlzPCQ38AzsClDlC4ke6RHiVatgqkBMcH5a6mGXLmcLkgxPCTi3IYssNhBMcXoBJkK7iAw%2Fq1cJO27YZZ1dgwK6TjpcOKZhOClzaJK94ByvnLhalwYwwHNGbpKKrMoiCUVvMU4ZDGftbGmdYDSWM4M18njvCm2QeRAFzCJCDrWq4fFsh0jgTZAy3lAyEhSb5p3l%2B7zqhPPDOxcQ5kAj9XEi83gCXQDB330FUKUN8JTMzokg%2BMHLm0D3oGAQxNjGVUC4qv3mNqY80W8Wma%2FG%2FRJg0Pokw2Jil%2BUKRbOEH5QZhYg2DwSICOBEYPtpPgwWBiCfyJ0YCZEGKrTfFYsGyw21JEW52PoQdw%2BSszylGkFpTMhd5kWLnyTIQai8z1ij55qLRN75GxKwkR9E1MhMUCbxmmw63GyiBjM6OORqQNMpJtSUqMssFsiIRB3bOWC1CBqx4cDrtymvUnfKZrNpclIQX0iC%2B0SWyKIyxEbrSIkB4ly9nnkYJu6fFFI5UkewzCvGzpCmkfDtvWO%2FvOQBSKG%2Bw4WeOGpxQqahRKjqs7pmglalwleZKZnV2WNi1CBepIZxSes8CtZlRI0GWmUOVcYlpvK0hUKRhWaEyXRViM53DzUU8eSDYlUJQqDMmUYc2RuqTtfeLBUIWJzpxmeJiOCoAXmCaSqYM441iWisAz0U0EQHSkfuH3o9uyZk0g2C%2B1Huy1lYiCySpvTSdjMKwTiKdQVCax08qRNA1Vs2wiL2IyamfCpg%2BlZwXvOo2sB1QB9xIdX6Bj6VzRgd4UoHI9PenyASnBA8k3EjsE1S2ipMclWB3LPJeWzSHOikaNhJsFX5zoP45XxaGhDK%2FpP%2FDIYztiS6vqMPACWcgP2kpZWjOfJBHYRQNI4tp3WUQGWpE8ZqoZEFvYJaFCTkUJPdTqeYpTEWodgDyHYOTQomy%2BoKxLC8BtejPZfK3UMphCswZ56qASoLK60kVHNgZzT8%2FUWcqkls5xsQ57uoPAv%2BCrnsSCROispXTpjPKe4ND10sCf%2FElOsPgR%2B1K2fX5hXhJfNGzBWCpiE4EjGUBgUzovLqcdL1yqDbTutsHLe0YqwBcpKRqcP65%2Fvot41Eg4cbCrFOObHzAyIO3Np2zmgIymMqrmdZ5wgWiOKMA%2BV8kKigbnyOAnZzQK1uMozbw7SBWI%2BtpCLJTN4yFsnUOPsR6JqbOmnG2mYUYJV0I%2FFDRgDb2YBKeBAzYRv4d82IRIjKNJ6kthxBIf4f6tg5Rewqogb%2BBL89Xa%2B8Y7mPwJBnr%2BqyHL3Me2KqwE3nnFG4NiIrI%2BvziW0DG1jcQIHeE7iAwtWHXwFYTmEfOmdkgt4Pr1n2vJwnSQymN0R0NLRTgAHjDVSIfITmkvlvfz7MU64jgUChw5hCXsYgG5gXyQ1osKsxCRhvPgsghFG5zI1CXCBIAwKkjyKLeqBc%2BfEUFiCvfGOta3gR%2FU26my2RNT0gywIO1yxoMTM8Mlfo35lpDQ4jfU18jrE6QiUumMhcIndvm8iDoRH8amzyNFXNUKcSoCnh5AQYr61lElsUE1avUS%2FnDanpv%2FZFa3VH2JIq5OrC2wDxYOhlkZf5BIr5I2JAQY6MewSa45Ob%2Fz%2BEjpgzBQTlG3AdVyHpu2GkjfOxGCSQ%2F4KBsYV%2B4WC4tHrRIEC3vi8DWBGimk2R3cQNWDhpiR%2F9KQZE618tdreVPJR485XjWwoxbnLTn6IZ4EjKrhRraDtVPs4zmDldmpWjWM5L49vWKkkh21cJ0GELX5Hje5CUKJRNkIrvqKWk7bw8b7gYD5fEhk7VgXTHJI0UsIqSimKH3B62CsLrQWXjB%2BoWwKWamDL6RlAYnwhMdNFIyfJuJIyo2hI%2BRLmmREVRHaJdaBYDQo4bDl91nK3Zy7hcqlXpT%2F%2Fg9jl5m4DVYTnaJOAoq7zjeA2QzPBWRnDjFKG0AJybS5gxwd7oVkVIAgAqWCrwA2TuCFHn%2BlQSxm2EjeZemixAGSIByWTtmzQII9iyI6QxlnEfiedIUpRSDRKzAojtJx830mEfqcSqHRLRGSUmpIkhYAfBXhL3h5wRAsiPnzp5CmVoG70nYHSlNBsQEOYNSYjVHmDMCMyyhMYHx%2BhksBoo78rYc0vB6ClzXpCsSQL0xuJj0lRG0q3NgS%2FgqHn0%2FdBeijOqfmwAAwNmamjdRSr62goEAhLCK0y0mqVtUz8B3F3pE3rUMN9wQoCtpvRAK3sFTK3tcPZnt6Z27rdUEcCb1qxd8b7ARVibBsC%2BRyonUCCcPwOsBKtzEuPpnx3V%2BQo3FTRLkQsTzT%2Ft5GIpAhUffp2BuiRh%2FhQEK3waIhUoJczWFQtyb9PP5ODdKmoRpQHa5EoivjH117VzUEyb9h3I8XFhYGY2GgobkujLXrm%2BbJ7HN7wo3WOTojHaQLy5ZQH60wuIar4h1s2FLyTWktIBtEtP6PSDSPebTewSizvHczvHVzmh8LyM8TZbIzBlYhsTDRW2MtA4tMbKoUyaOwZNB0EcTEoAHayrWzlDMhazQx8GCH8%2BXZI4EskKhE1hnN1De89ZjtBMDWCxLN%2B4bn5AnyOhxpTflbO1kA%2F0EGhUliSyMtWT0UMb%2BqEPinhEFYyHEbAUyp8tYuqYDRipLscjyGJA3zbmKdMTMI8V72v2ZQ8R1C6WY4qjndJBCREkDNEWaBovAOsU5JvqCCECn5%2Fq30Wfs27Q1NX3PB1CxWQYK4rW6gl2DEhCJLvzF%2BBEKd6LLjbQMVuJRpueMSQJN40n5WAdyXvuYQeXUQsoQDysgsemARNTywlJKFiZeuo5AiRfoTmTq6hkwijNVgqADIQ0SrFqBN9hK5RC2ZzmikwVm0CCZzso1HPlzzN0IP%2BQCIQZ%2FzA%2FJ0cIiWLfbbDGvgdRmzRiOWxhWyl0iXpQfpiIVEQuNo2d7rj0OZeiVOeay6x5oKlhwZCcg8KUij44xrtH4IX6UM37YQMPXh6QvlpkcPG94IVYA3iwMJ0L8LuuaogTlCTJsenAjL0PQ7L1Pi8hmGJdOqOJeVo7ECLPOdRHN4hjBEITrTPlmX622a1Nkllc%2BXvRIMYsWFbQasKlkKf0TuoImAklJXaN12zLmMOiREi6fUAhVGrkOVhqjWR2eenOmgUY7GLcmbnAqWpftrThQTmBEC5zJQBDcPyN4AoXnInBM2UJew3uo3Osd%2FVotG4JFRB1dhhN21R2ig74o0Jw8ZN7VnA0lWB0lDFZ5PDtyXLlhvcGuF0S6Wr3U2CqpnkDjwB2mBQdPGRuL5x1IFo03LEOsHEh4MKRvE9edrMh0Snaf0cShzOIJdiyBYWbPeMzTRGYsBHAfX1laNIl1ZVxzggRI5m51PG59wVXQ7HQGRYRRnGy89qI5okgmTpsdUtZgAxPvJ%2BWcqIbSWx6tf5yN%2BuJkKOjROUqEcP4y6WDOTFIXxQkr7hHBS7hmbyT8AljD77OJLW4CQGYAb2Pei8bNTgMttEECV0uBXZksyIJd39JlDyojumSt0T2TM5i3S2cviYGBEzQtmTKzAFB8QEcXkZq4YmJ%2FTDWdYLS0Kazft%2Ba%2BC7HwNZAJaVEY3kfqPHY2SBxchsqiGqJLn5a%2FmjEa8QgmABHka5AWJ%2BG18I9w3WjonkFGEwKhtgp0j8YPUeYEncSOLNhhwVJnEiplRLfp6lN7z5sAMYVx%2BA71pVUbhIzIaaNzUbAarADBLMSSoXqKXumbEiOijClhzIbSA5gGB2qtutd0MjQyWBaAzJmfqki7MMaEQAOCXbwaXixbEGNFnHCqmWg8qjxIZ0oeAxEPKD1A7yRyuS4AIRwOrQJ6DxVHVPpAc7aCkBHpHC9GMxBqe9Qt62zjQGJy9sjB5efNIj3%2Fyv2r6z%2BSM%2FzuFE0Za9wOJ37u2rcQy7P6SvWZqCuEJKtvjAUTarXAcyMQRrVOlrD0HTsN2KDiUivtwmgj5U9inAK5%2BC4IqL6iNHhU7OH98NmQILOWxNwJiPwwlnf1QAEMLagJuGLoYUdlqBRDn8QcRAg9AuLhe4myJn%2FEoxUfepXHhZ8Dk0BKaH6znSNmNJJ2IRdEvxoTfFkKRNn0cEvSio6ek7OG7AZljFvqNgRejEgmOwp7toPkAA5CIjKCsWmYPIlxUdVDDj%2F6UQEQZwMPCocey9jKiCj3ryLWjtGlYDdewTAsT%2FytgOZKoG6jDf%2FUzE%2BDBwpk%2FPx891KJ7wcBDtmnc4Zr8PjCwfnWIE7Tz5Wh4XZOloMKHqBYibF9JCb589kpcmC6MqgAH60Nwcj%2BnBhrvYWI7IfIiYD0IThyXLu%2BBjtuDKdFNmVqTy8ELHUIcco0LUngtn%2BupQtGnWSsHRGOZxzUOEULCoCKWugvY7ZqEN0MDmNHqeKtmwQSOPoR%2FZ0KGKGB2wdDYj1CrZsodEQx2TukU2%2FMDvJyPuRgDSC80jH6IO5DbRYrS0rIXfANDM017avY1V29khrSTX8G%2FWm5HQ3j02j1MGoCeHm%2B25tIebrUOsJUhfKhD0EIEeXj3%2B%2BQ43UQYWPGKRd5tI6RgOxzkuNv3Ji8YcsIU0cpJNn1rQt1eBb5t%2Fe6vSIMsxyrbVRxAHaSs8%2Fijk5AW1W3ajQf6DP51FkKbjEEaQp7ThQOL8pUajXNZgjP%2BAGWp2PntYtYtaMRzL3lOTlAMAU2jKG8l3wMD%2BbxPb8RDFLiiPnwnwm42DzJDXbmbGIZ0jLkON0Ub4bgHg3f5pBR%2FoVAu0YDFztE%2Bzps%2BP3bAAWSgSxlY2S3LazAF0KZAmzACvKJ%2FMz0beXxl%2BeIEFgZCLRMTD0eI7mFnojAK95ZgCTCfQOybhXCo6576fGouBIpcPFCU9ALkeU0pQaG70p3LmSrRNvUUN3vI9R8lCXjgQBKD9twFivCVAT47aBVWQPv7zSwNj8Un%2FSFG3FqLOS5c%2BWZHKZKVGCPSmIgHEwoN5C6HgtxiaB5%2BUvBrgQmTbO5rMJ%2BCuldZzfzxgdXp9XgD508hFWCeR8zw0tDDW2xoicZACrgqgnQ48NRFvjGjGQLa0bZ%2FYIPRHYC9plKdMERvlMGhAQeqDBMhf6LZGmyElMCwEIYOo1BZ6PH7%2BWHUp1YWZa7wqK1XoOCvECZSwoJH1Mkaogtg1cnvzmDI1q5S6K8zNTnhUkglWVoNqdHdJkfg0Fxp37eM%2FnNEjkRlbYvQhIWSCHT%2FqEBqUlbxYgGY%2BMSFSRxt4bg1PVnRhKNZIXooJOn0HVNY%2FcfiwOh4kjntxHmybS7MJkM71QCMhZGbYSMrJ68qAj1YN82a3v5utE6PJoWbuOva8RkRMPNZOJG3h4NcQ9LTUNP7WRG34U%2B6pZFDjhFpbJyEq7ddJp5LrxHhOcWeKH5m0I1Q2anhxKm%2BO1yIfm7BGh7B%2FjqYiPKEBJ6cFrT2ZB6TmSyLIpnTVkU%2FYqVla2WfZcp7SSoTzv6vLYtG8AgtXlxfWZxN6Gzmta1EwxIU6yE9s0x%2FZlSkSYE8X5a7%2FVPKA%2Flig684F00nmacRk4WooPYSFBnHTa1ebr6zgD%2BMcOV4BeWlJJLrL0qnYZSAVtBA5UxpOASkxyTpYRBUMiUqxjxU%2Bce5iSPwywJQRsno2JDcLSzoQnpUALmNJE%2BWSFPdsteXHMocr%2FC0IqI26humQ1wKQoHcGmUNYBVwIFZqI1azUTzdFmIOugxHeiO7FGrlsIVmnE3L1JrCuYeQCJCpQc%2F0JCGgQIe79NvrOoYeDQJ2REZcyhK7ihxb2NeHkVj0aI0LIicFJjQk21YaBO4G64TBu2IKBTzYheH2CASyWnlbZNFDbFlJqA1Q4kIljGpwnmhmXbOSQEgWsMmsHkBZYKRUWBv9HZZ1N1JSN64WPlCBOt7zqAJMKpczyNBpzQk5o%2F%2FxDjQg86ozQyN4waltVoDaLJOfWjYqewlULt9QO8N4AqlP%2Fo1ZIqJMaZ%2FORyILlDFoGoeY2%2FswI7MBMVXSMJXCUeRsJjHIU6kNEsAqZoBDoHo8Y8pZtM%2BGL8OLfcPdBbsbvRZuDQcyyrZ42OoTsMJ2GH21od%2FRCfgHrkeCyZfMOkWTSYgXtqYxGIGLcI5gKg%2FZR2xnb1upteR3rcNGITv8oKHpUWdLK9kIZlFfEtPUNAgnOY66o0dWYJq2a0UT3usCxxDZm0UIViE7Q13vLoyXH6VgLZoJt476o2dZ1DSsnihertfmTnTdREBRHm5ASIGxMbMSITKCmV5fMqgFiewxFtxqh5yfCPkmlKNcrJfmvyKlbaqps0Oa%2FBSPXk4FJjtWF2wOHfpFY63qA49US3T180HXmbqEjYsSpRFkkOVMCBH1C9JAJTRgjCWNAjl2MSA%2BvZjADldAJGTIoWBOcOEUI4qwvBSI4hMj8m7WHoFosA0M4Q4yS8XtN%2B5emVGJDGqX8D5SVbE%2F0bWETJRyRFYKQ8umFTkY2ZnV9Lz%2BVW9hgHq%2BHYhsrghzcANy%2B02yEIiJuDFngZnEHSFnTnqDAicaKOgtLZkRXBqGS3bgcqBK6B%2BmV5G4%2BxzA1IlYTTtL30wAPCkFZuhlgsViFEnA5Rg4UXmBbXBAW7JuNvZlXTVsYDMV305DdUPX6QyUFMwndSexwLkpBDsIQ4lUnD9QoEF8QmpcQk8FJckIIkVwvETqBSrIvHRim18B7iqFwNCcFoUKmSj9cSfX37WL%2BCT4mAKH%2BS76AYlpBE3eYErTSL68qrzEKiOZo1mbN1ujQapDrmTWb1s3iBTeQMCYcYfVeS5ks0rTlCPWr9AjV%2FbgZ8To6s7qOr3%2BkRUCKT5GAAUzFlHOkmV3fJEImmhCZ4S5ivYOcC3SUx70Is%2BgfKTQfQBsES9NEX4x0WTcQkWV5JKEJNl0UV8pDmBNnC%2F4qRYIkjLTUknCCTbfLBLJzy4rnSGTntJHjdpYIWlqzxK%2BG%2BRBy22IJ8gMQIibkjgh8Y9Q2H5aenHLwEJg2iDmhQybR8G3gfKxBAZwppQkDi9rFMfLSe8Fgalu2z9mKNwe%2BF24HWYNjNI3zoQfXsIck6YiAwCMhAsEDMvxfp9PxAAxF94h42eFp8V8BZxS3g%2FoQhPG05yIyOc5GxA27VgPq%2FN9uxGcdZCP9PAWYlmmiIlMHE%2FRj3IzE8YKgGEh8OmOkN4KuO6GYyNnRhoWNSgmY9%2BVfMfhBm7xIwZPp7ggg%3D%3D%29%3Bsrc%3Aurl%28data%3Aapplication%2Fvnd%2Ems%2Dfontobject%3Bbase64%2Cb08AABFOAAACAAIABAAAAAAABQAAAAAAAAABAJABAAAEAExQAAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAjPL%2FpQAAAAAAAAAAAAAAAAAAAAAAACgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzAAAADgBSAGUAZwB1AGwAYQByAAAAeABWAGUAcgBzAGkAbwBuACAAMQAuADAAMAAxADsAUABTACAAMAAwADEALgAwADAAMQA7AGgAbwB0AGMAbwBuAHYAIAAxAC4AMAAuADcAMAA7AG0AYQBrAGUAbwB0AGYALgBsAGkAYgAyAC4ANQAuADUAOAAzADIAOQAAADgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzACAAUgBlAGcAdQBsAGEAcgAAAAAAQlNHUAAAAAAAAAAAAAAAAAAAAAADAHa4ADV2ADV8AC1cEs3pishg2FfJaEtxSn94IlU6ciwvljRcm9wVDgxsadLb0%2FGIypoPBp1Fx0xGTbQdxoAU51YoZ9RXGB0bXNPyK3JLMApRwa%2FIMy1PPoJDx39kimekZX1c%2BDSW41tEZBuFiwdwx1dRoPVA2vWPSlsSDqhNkqYfhrqlVUGD0J3HEAgZavmtLnDC5WBriSpD8Uk02KsUkJ9vCFz2CZXAd5viwGZ2xcVYRPa1bEIai51nMYlbL2ERuB2TCzLAbPWWRZ3%2FsZ%2FKBjLk8%2FgAZzK1OaxNw4oGBbsNhx6Reg5HRFVCrwa15kGmJEy5kX1YypVm%2FHo7TjKP3l%2B%2FnuCTOyiOa6S8QEJbuiGYNlCnM7tHChCHRRQHXQh7yPXASlcvc5KrNKol6orb35kbo%2BiEwl8d230cfWPwTy00bFDRYURYGchbwsoDcaR2AJsFGCrbWCzBdQ0qCobWwLfueqAzSkzaHX3yCjDlGYPV0VZqVXlqbr4poRaG5NNPMDv5MCHkLSFyABMRBhMiGSZiDgABYmwsLWDjUZCUnHwvXt0VAUy4%2FqjwVgjfUqp1evzUqutJB7DW99Cq5aEhGePsa4omKUp7LnSQUz%2BZq51pU72ApMxkaVZE9jF3IGKVnF0GlK1E6iqLJXFzy1BEv6Kr0ngCzIgVANRwCkVHYJj86Sv2dzqgVrjYKlg8W94FbPGQghEbTakZ4AoS9h0u39DOoRJTA2iirs9xa5m9Ir0KwkogoqFNVDbTIGO0%2FWuJYfp61Kq0bhgbcbnvbTDj4HBESsXMdvrvpp7Owf%2FS2EbndoEoglO%2FjigGAuLUTUmG07ZGlRCZ4QZLu81tPEgTtAvF99BxfnxNslgVYH5Jc4AfHwsiktDBO4wjgjizFMsIeBTGmIYrhtrK3tvtBu5tYB0PDMXILUkFYPM%2B5yLLGOU9DtoDLYWLQig%2B8wNRZbJZZWeK5JyKNwumLgP7X6pqgiZMFUvfCTl6Urx1gUOjzhcICumUUsiNESZCmTANkgHoh%2BKU0t1fgQYOBkNfp4MRiJysezS1Vz%2BahE7ohM0iJBn4I%2BT9RJN%2FuQk6SjQGwC%2Bom%2FSD7Zq2RxvcSjtdxHfo7NtktA46mEg5gBkTtMKu7oFb1KgqwqBLzQqZI%2Fs4QSRhYF3ani1URTcMD38kDDqlc3DChmYJTCR9WpaWrYFiXeNi7jYa1Oe%2BSP30gxVyeC10DYOakGpWaU1qkQ9OXlujEbM4A6A%2BQ243TA2QnI8mKzNXNo1HPN1CFawST6uC9dkyQTqq5bOKkkuGjz0nkj35Sr%2BQ%2FkLGg2iQMrTKImSGshnX7%2F0Jyh0JziDbTzxp3IrbosXgpchLcBJpLLUBrFbt%2FU6qXqAaNFJoeBItBoqgQlPZkpTq31s5VZsgIkFupAno5G9oKwCGRqv5294xFqOrEpewcjx%2Be06mxDkN85c0ckmWmMzbkFX9YHAf83p0EsnBywjZbcPxZw91kqg7voxasp3VfDhEDAufUx0MTddLO5kCyKkUBwOm%2FMurQH4bJQgK%2Bp14dkBBhgxpBUkTlSbTE8DDu9qKiDSCtvmPY7FRMn0wuS6XR7J%2BnpjjeaDNwiOgIKUWCP9aLb%2BXpc4toQCryp6gjCVq1Cl1Di%2BtEx4WnBp2hmGZpEksZwTSggXuqAWD4B7WAMcir2wmA%2BI43ECxUSeTDT%2BxgR3O4XFPOGxHh09lxpScampLahUbICao0db7%2F%2F%2B4CBMcCokQ7aOQ02MOzh0NEaJGGOvPR1t4sY1I55lNfQ3IkF04onnAomXxiNg2EbBbPTMBBlv%2BggPSmkb4GNFW6Ehd6nDzJlnIXFfzr1bVWQlfylDodFBbhCDf%2FVB13j441dc2rx3h4hfAWIJuZqbH%2Fwbuafg%2FnTQJ9bnMfR3U6TwYgDQJIOPOtmZW4ZHsR2VifZGaC6Pzv4ZzC2nSAaqSe09F9MxuI4UmUVA2RAUqBUIETEIAhB%2BtBhsxhVMXUmv3RPe1grhYWLM%2BPHwwO5W069qIgDXtETXZQ3741DSk%2BvO6y8k%2F7Mg6GFC5fSK02yXZ1XV0NZe8iknoIbSFnDm%2BbMP%2BBCQhoLKOeU3FVNQ%2BgPEntwkHT950cQYEYQc%2FXuL4nxwcRW2bIN%2ByskPaD5Rz6lN8LW5IDLYfuvhxlLcjWXSADeTshWsJk%2FHCuRbwjqLcx66fc6UlF33HipliQ1cvfKlgRpVcsmIsiYnJjzJIovUyqi%2F2OTQcIwt%2B3WW44BAQh%2F2GymOIscSpIt0YUePiwOCJN%2BQ60lqkSRbWi10lotzgWZsqzEI7OGFGeIoFyqli41%2FNn7LfLQ0qtxkaAwbsKZQ0D9s%2FwhBqoxhAlxCVNVF%2FJ6rsUBQ49MLtR3ICtKPLKZ%2FQPEeIRgWUNLbNR3v3tTaL8uiXO%2BOj3tSJc56KJHol9nGPuclbrQpCn4keT05ETSOQ%2FDwwKjCRLgIzBi7x%2BU7ByTZGUWcGLPY0VtXWC7kQ38C5thIGJx%2FxLM3KsoGyRwC5AFUNWPzU0QBCaVXo6z1NCclLuPVA8%2FwWuNhiAG9CPPSSlIOCuh2AQM1d6MyIEIQArIa9YenQ5ug37h9gPNDHVLImcjE91ewI7pz7HgOEVqTD%2FjREYRtEoDIfgxzDePkVvHWJAtcpCJ%2Bg2o4akZpphRUQ0U92lJcKZGJI9mnpl8UVzpMi8SBGXUAPpgcS2cDAusSE6q0hNibhCgZHLReLsA%2BSv8wF6LiDL3TogB1DsO%2FHeMg0ETucRO2hIOvbp1NVkFMclluNmBQbTy%2Bosr2bJ7oWdUtSHi1s%2B2vWxq8njY1eW4BCVr2EqSyIUuFKS9iwVF5FBGeg0hRcHwCKMtqYLBfvVSYXHdGZK3Ug95C2d%2B3t9ZWEYqq6F4TocgcDS4tI8cvEEXK1%2ByB9RofdKpHoA3eP9%2FB%2FEBG%2BIgvmwZ4Iir1SOYFEtUG%2FoVkECQqoPTdHoNpQKpA9K9k7TisAUBsKPtWgBriyeOxs1o%2B4KCIFumN744dH3Yf7X8F426LGtEhFLULhlKFgXF8Wq2D6kFSBkViLad9D9U%2FP6A%2Fr8SE7jsr9s%2Bsb5ODWI5uS6BkZJI5RQ5QDVZ5%2FKOG6Dzc1RLQKAdGkgwLiZLQdEYQ9yhQLtD5kWr4wGHTv4GqloWePyHYyuy3Ek3iQVQkdkAz0MxcsHzccdMLO8KFh7ywo4jXywraIhIicAI4dWdD5wEXBhsMklzbWc8zi8opC3IlPsLXHCWOqOgq4iPU6xyDS2tdSLnlhSFjsCCWvMRt5TAI30EHR4f16NYyzoG%2FoKgCUsW4182Wvj5gpb0bGGLe8YRIYRGVgF2hwIlEfm7eUwwLZWW%2BmmBZPggPnIKI0b6G%2BlHCncx0wkaVPRQpZKWIIrzh4yC4Ar2vTKzhVKSutNi1dSzmM73AGUXSBJrQH5J4Dfb%2BRU25tYrIVdLr4ogiwTE2i2hl39ffJWHNTSWq3PvVJplNqDTJgJcvCHYoQAuHeOew0gZGfmX3p4D0aSr1BhXbXRA1qipfS6LiggtiT1eDg4FTCWwCdAFC9FCOZ52EdrFetMBxUdC0dfnqpr0mELJE2m5FVMvwplyf0XIKclHa6%2FQrw%2FFOVkVKK71Ab5iAVWm4GA3HnkCJhYkW06XJ3TDGB9YhVW9RuC39AFUcFWwU5eTNzuck7IQty7ZC9IjAGNHuZhQ8yDWZhGUoNyhDcKYQiUDqAC782makzJ1o3XJFIEDXgObv%2BTlS%2FdAr5rn2C%2FCDmkI0WO3cSTJwSLrS5dBdkyfpxAu4XghB3jgGShG8UCorOibUp7NciZgEDLmT6eOxDegpLRk7HomganEaTmRZAAMrhobApDjFWtOxht%2BNQngtKVgGL2yy6Qnsmju6DAg4d%2FRvxHa5mBaEMcBekCMtwaPPGeKFPMsgAJTidusMLUbTAUBJMOmXRwhONkoLPqBhpTuLSYN%2Bf8aeX1NKSxF2OUST9ezObkHETTsr04iWClpoFDE8OdIiDPQJqkHhnUPTcE43OsKBGS%2Fzk6F57sqVmhZKjPxle2S%2BiIE%2BMXOiTOoRKF0Q7mbNRYGPZDp5eIdPOZHboa4CTvwnlZb0zCOW6kZJh6klDDvYghmQ2FCDKB5DD%2B0nImiNcfSzaGT8aSPzEZjMQ2GPpA1Ws4Xeysyv0zSSMVVsiOoiowo2SfYFdapUBsWIoRXMAKYdguyVcwqX%2BzVWYLiNddi8p%2BxMV4dQIoUs6SQ4C1%2FBjtBw0ocOzLmMkEv5D8N4%2FZu4gYA4ryDb5Y3gkIxdb37qMCWYmDGgsyEE00y3BZ4FgyT%2FdJLHxMQwx0gViQjWL0QyBfcufCgRYYGiCHrxez874MrcqldLCEQLkCCK6pWCnULCh%2BVK6FW%2B1nm%2BN668e16QTKWprvRw3mkwitjPefHt5QKrVumkXsvsVrHdAJrodfWckxhhzknXZ8cMVIvKphJVfhvWbhoZbbgo3fygOr8PlKcVEYLTmUbjp8rTFlPRtPrdA8tljZ0REfnhwApCZ65Igtn1gBROJdPCCb9ZIqlQUq3W89ZjSgSnUz8nEBW03JCcQ%2FSxouQtYBE7ichYHbASPB5J1%2FzVfPINn38CqTMws1KKo%2FyvNXpDgBvCI08SBLSwX5Szp6WlpzoPEio8DsNzZQqgUMoq0%2BNMALrygrOlErJohXvIJ%2F0IqziZok6OuApG2eoGAEFsTc6yWf9eRcklYZRO3PkA%2BW8aN5ME8aLNC3Kdwtm64WyqytOEW1WQIg6bOFHAs1ovo3OfCvvZASxBcxg2SRCRTTJDBKajFH0LL1kSBroe6L9xvVxMCIFS7Zo6y4ZOEIkAI9QtGVIKKBlCvUUEq2S8FiR7VkJGbvBFaS6UzQV%2BayV6NKw62tbJbEjkJ7AMC17DK399DZr%2FtE5sUtaAPwaHNj9VCoVB4VAG0iNI9IjDo0mr97FWjYeDRSr3pstZTVZ6nj5Vp3IbssG3g0r9E2eSmHY97LYobIHPnEGkKDJP15WPWtwMgS8HeLd6NEnP4mIFlRJB4zLeDeoBElpUNRIQMzLbRQsGLj3DZhQytDQPLAUE9JWHiLKAJxVTOJNZsObEiutLqwox%2BM51t7vJQhBeQm2i5bTa4D8qIUjqI1sL9G6Vha6U6IPUabeCUMIufG%2F%2F6USyxymXNlfnVinkNvKZGUjz0EWKIgZEC4WkUEr%2BgP%2BFpkIPUVM%2BQEJPxFxKDlpBEeiUSaTgCm4sEfRnBxu0eF%2FLgLp0IFHMEt8aZrsQzTF3wRw8TdpzHNGMZrHHa6nU8KCQppWBVpJ8b2Xjq278mtoTfrgfAMSAm3cYEcDw%2BzcSsXTaUyd2PH6DCU0DdBiauxpsyoKlAh9IUAzS32X%2F0d3x7h4gL36Q5sC4YzkbttmSwhenP5pxxrBEEcoAohUGB1jHGtB2%2BI0FEcCM2y8EY1e2NPXJS7wp7APp46lC7gSit7FEFQCIDnNX%2F196lJs%2BgXTyJrXAze%2FQ%2B9GEFC7p5W7W5FEooh5QlO01B1OcYDH4VTmRSO8fHPjRo4FkT9GrnUZw9pXnDplu0YFyOaAsLOkxdsu2gfYJ%2BDzBNihSUutbDbDy7VKS3KwwUTChYQkWCmldyS%2Fy05EvDGbLbpkDfbbHNGEhTSiaAEDmoKTERX3pEuKYJT%2FlNS4IawkdDACC5Jk4hgNa2EGV8yblsXoSHDrqHDJs4JDXLLA67oCyia7LABDzBMInY5gnZCpFuyyuaWXjKHRgy409j2wNaI1bGlosUnhaB5iqHHZf2%2BbDPpsIwoahsWRL69BhhyPHQBUNCyBR%2BUJzMOBRMxTVhNsS0%2B1n5kboqmNZcC%2Bt6HYVscRaBeox%2Fvv3%2FxwdoUoRvs6CamykRGihd8HTNaL%2BxRuoo3QVZvFT7xS9opWLiNbQRti9PXbNg0J5WDsxaNesdmkYOcwpiqsURuor%2BS8hhgWniGGll%2BtD55enFSsyATy9MonNXUJV5Q7eAouzR%2FP4HlA5YWBYYjm6NDAEk%2Bx9On0MGm65%2FEm1GKndnRp4cv%2FjFAdM7hnXsaXnGKAeK4aE%2F6BhOq1%2FAWmgCMQ4zC8G0wBzhuMSeeVhgAl0jpwicoR64K%2BBYlYbWz0gTGAGtI3puhx3F5%2F5QKXradYFuhJPYWq3ITCUUNLpugdVBegedngCO%2FDN5mJBWzGEL932jL1YntvCgzzLeR0WczKl0J4g8Gcbo6p5LOslpYBw4kE3ZDMiHPjBGyAUjkrWXqYTrl7gRUwex0zKVekIhoI0dsFRDtQxsLctjOlRs5Y2gYpQeBORQFR4C3hXh8EnZUzuloqFLFATXzpzv6k5XoHB3fZLNUiPV5DvAfroLwH8tYhkcOxWnHqePfQulM0DCPTadXa%2FTpoHYkh9BeeAwpmi9Kbo%2Fm88ob17pFzKP2lJpfWxbyD3PccS041A0MQWUqNDHOPOFt57Q6TiHQEKJQsI4v1JqcD7Q3orOdsLvExRQwS0nlUtV%2FpQbx0wSlrRSneWAQ%2FJhPaT6rMvIcid93ahrnKe34YxGA3D30BI2lEiLGh5iAUkBLBoXRshvpjGJGLzGcvonIqzVubgEJv4mbEl7JggQUWb6AYaQMmGUXEwIjylByVLbgcEbUQL5RFiRkX%2FbOhzb9XavzmFpR0cOdx3etgoaCPbiL5gR8o0wJNdPMCYcmyP0SDmmsW8o0O%2Fy5HNRxqz3IhmaxvIT%2FxpN8Pj%2Bx4i%2FGawfTOod%2BpvHN9BMNQUKG555l7yAKsma4r8JwVm6gxqBECXHA3e%2BdCsONR41WrcokynYzYqB0xlCdg9Nu%2FVL4rgwOiTVy8K70TghEjAOHeFBYvGwmkrDIzlwQsyBsr3K%2FEBFKO8UQ6J1hU%2FYGFA8fGgTnBoNnAmZc%2B9S%2BXnpbpJ4QKgdip6TZnI6woSQaYgxGpdaxxSuQkxu0avCBOSwchx0SS0x5HgR6iz9AkbeoDFTnGInFfbnMUP%2B8p3uSQu2CVkHxeVeEMICXKlVDsj89UY7AfyMvxTyws7ilT3y4zYSLVToLb1IwDJHJ804mZKVSKgSOa0mHCQrjWQLaz9LrCiISicIHspx5moJ%2F3Ng4rjU8aMqTDl5gjJAFgAMupkEoWEalYEtHh8CvvMqUP0Ra4v6BRr%2BdgNXFRLo%2BjKWRhaP4x63qqfsnw%2B%2FlDAo2doOxQP7GwahE%2BiZ2OX2l5DodFT8bGiL0YglcRmgDoYIEaRBLqdbj7HFD8xfZz45H2Tg6upN9XjuGCxtdxuVuRjssowtewrBo9gBM3T7d77hNjF9rd8QTMjwGLx3oWax6aa17t0I2gcG6kcQgw%2FphwfsB4gsCGgMGZU8P%2BORAg4iQDmTP9XqByg%2BjtRqWtpaHjiHSL8CNah084UP6Rfjx8GU2eaRw4mH%2BA9Ad42DummqhAj0%2FeMNS3V8lEHUSc1ntW779KspgJUBtJQEpS59ODiBRghAyioIrf%2FKoPh0eAJWqxh%2BSurG%2F5xVdzZBLgKEiYy4izBuKhCRIhfoADEt%2FB%2BirTWSOZVkcfzWBbA%2FAO817phMFhWQnvTwzjirEna6JgrjgHyk%2B8nWk0k06KkkSOOryl2OrOta3U1Vai9SLWxcE3cY161P64wA5VUgBExRGc8qtWCkEHIJfWtybVbTm%2BhrXnbVSsP4ucJTC9onJ8N4r9lRaV%2Fc4a2SZKmPNCgEUW7LDBXhvFxUvZYtnIuGD61WQtIrDXUc13hksUbImFeHrIBgvnG4ogmKBk5CClzY5DWqCCMzdrHBGSSOTyO%2BE8inLMGSApQqKJB3XKm%2F%2FMFoO17KuwfwqcaqjAyaJ5JOWW1Myr%2Fs7ZQiw%2FPqVAMH%2BlK6DYqjGUMcAXnVxy6z6CDl6j5mDa5EG4j8C6pr0hKyRNnoiR1vl9DWOfC2%2BM4v44bO3onXro%2BNlz00ZlGV2ICJ5CcCazVCJHIETBqVFhGT7KSBdNDv5ILpSacSTL0S6fX%2FP1CEIT5NZgcwpI0rkV7LqiHRoLUAPjXEqCZ5mLntX5JkkUEelCsU2tXCMZ6cZivQI6hYQNbXl4nc1sSNtBUTkQ8Y442KxRe7Uy5yOzB%2BUlA3MhvFmXweJJj%2F%2BG%2BqwJFWFLNYp0JhzD%2B4sl4JYn6a%2FvShCCo8hchMfrswjZgUqiToKfoOGaHdIAnKE%2BiEedBkyLwMSoNVX83TJERFy8PLMpBjsXtBITuS9lpPCTVl%2Fvs2Aqzlzwnj7lpl6VX%2FQ74tWqUSzaKziwue1phr9BpcZjNc%2FGXuJUq15TMDnCsJS0X2wAtW5JQA5MaTyUH4cDRif3MDxZx3Se89P4WSIvEEeLjToJbXf%2FrRhBMtRevJxuf%2Fs8EK4woZOFli3yTq3xqjBjrlierqgmUpFA15HFkeUOuLDjuhzLDjAGKK6WThTynzd%2FtCQWU3Nzd8%2Fa0q%2FxwZYn%2FUPEHU6lsdG%2Fn8gN%2BYACURCU%2BW%2FldrXpdUK7WxhgWmNd%2BLDoQFCU0sFyHn3KqFz%2BIg9e2C5oe9EOi7KdTBxPE1k4k5tkX%2FoZzSih8DJDFd%2BrITKNSsAAGtscSW9VDasqkEamMzeUOhRqRRAj9lc%2B7An2YOdL46GdcOLAsgYaFsR9hs0ToUzZ9rFRLG1%2F7eYLz1l5ijumbe1druwaHNFzZjtwt%2Bn7paZaMZu2EIx%2BlxX%2F2SBrWJQQM0wmE19eWrGPIVMeAzVWWRp76m1skeqzaBBZ6So4eD8Gpv31bn%2BnO4WG%2FOg%2FB7xQu9kpA3eZL3w9cwzrZfMmbUSk5OiF3Qx7bQYhL0VoUQQP3Hmps1bBJDQU0qAJpWwnb4iFOMBthzwP81ilVnh1bIuk0C9Xe%2B1kSK%2FK%2FMYOh7vIa7ghqGEKzCiHrehs3cA1pzgec5NpLDtCqMPp1GVECA4QZKiZX0hQ%2FGqjOhhObmpH0vwx0WHctTrmGC84Ub6BOQVdXIqoxqMVNhQjd%2B0CYMRk1zp6%2FPnIOsW7k%2BhQEruSB7%2BDEGv1lziYEEwur9gsigQBG8EJ3zeigdA74WvD0h2IbdNzPw3okAFsdmi3qKH41lxijDPDtvZcEzXwUnRNn4WpCP3vPNHhO8czUiYjRn6GRIQ4SymW9MhjUu%2FjbWOhOqNeh9OSRNh1EaFZcalxYnJMLCpTlEDttzYxhNCcZ86PUpbEkFmkU5HRiAF9AahZ8jQ769NUzJGkq9YLj9HWZLEK%2BIryXyPLZHAAHsBSe5moWq2RRQT655EACRYKQ1AR2mNQU6hNdrqLyfpSeJ5PrccWf3dXVxmIidWyyIkCm1v1oFYgyGcXwrCRPXPMLYHRFvGVuYyAUhzgYntJmDhE4VCNKoSxWlSFiFuMGumZHJnCJyAdT%2BHcgUhIEJZgWOjmy%2FZWisKRYo4JjuPntQGSxlJg3XJ5DBsFM3kGGQjqECyjqYFW6ccOkCDy3EhUt6taBIaHclyblt3Xxs353KjciddJC7gI4cZaPj4zBxOVNfei9MW9cLUHspngSFFni3AL7sLsbqo3totPWMf0yD2bdWKWuK2a4eF5jKcYCZyvORgcHeETtqeqhAYtIyiFGAYJQMOX4VJzPjyDKiavWJRtjWCnaTUdPR6FRkTfFAARc%2B3Ln3oFDETvxxiaDT3roIpaWwEEjRlhjvs9ZKiU2o1HJOMuVRFAA5fWzMgAqSKDaSLNQcQZbaFzsgKxXWIvjaOqsoiS0kA1bx2TN4NrJBVMJcmRWNIqrjepyobiDa9yXYKmJvgQWZhEBvF8wEx0pMQqCzcf9JemmcVMROHpvzARvqDrI5WOXmah0Zkh%2B6PIozOYm78ieRAJObTPxSCLuwQiRlWaLSxJ5hgIIrjsEUKPWMqRFuMgh1FsNDFw5jPGKPTWzyiSEIS6IPweoS55G9SZZ6wcpW%2BHYMSkoSETssJ3QQM9bQRo1JdCQdS1np6F5WR9wujL48y6xB4M6Y7FMnX7f22J6F5gyYVK0QlgEQxVXFUuC964aXqqhT5cX8XaZv5hVzeTU7bSoy40QuTOUjLVShZVi5iWJMAbFhku4I5QyO1x0Pm%2BcTesk5XsjnzwoAIsmXCFbWyIZQuawuVuXuR8DK92lWJDrNrbFtNbCj5sTTCx7e2Wb0UydtbZ%2F0CSIT7OnVIY0fRntwN3jNOdh7nGpmmq9CbBm1uLafMptryjPHHp7tKZEuAL7OjXHySRjUkXydXE%2BSrNxA2Um5Al8Dh3EZC5V4SFynxsMTKCAIMqEqNKzuJCQM3tvVBjRfT7xHSuCO72a6pSo2wn8%2FaXBmKI9sW2BccnPF8aML8%2Bohhb7ciWy%2Fxch7McUey2CPGCyVKaKDX8%2BSBNgqZqMLbCgZ4NPkIF6NfeH7gtElIrOqbudNqU8yyyewVZneKXuzObCUxU5b2tecTa7Jn7SE6UlSYMTkMfCs3Q7fVCaqK5k6pf%2F2wW%2F%2FosIJEgW3skUNgQHyb%2BsAi4ECMNcyjicIITuXGyXkkRIXyN50Jg3r1FpMmaQSUl9pGxnNMp8jf24vS5eX%2FyJYlMUISy9e6JooaPn7fiuG4QEscaDgCZpra85ygZUcJInLV6C314YPJdG2UL6qljb1QV1ZhrNcFecs0j2qb5gvkKHOFxHphwdBgEJc3y8qihwdZCQpJ62h1voTUccffiDJEzkU8jbXRvLFdPbcmVBUhArEuTKQFe570IglefLJ30dWmVAtx23vIGmF7N6auVNpZUQVHNmAlGgjNet51laJgLQSpfZyxBEqLwoCEGlF6ISp0NUmhUHT5a12%2FZElPE5UGO9AVnKpae3D5llVvXAHK0FIH3uE8AXFPF%2FSwx3OdCN6aViMIxEVcqv1UsLJo03R0grVOHRogBCiYVrK%2FqFBPmGrDyXLgr6DxBMSKnf1uSBgiRjCiwL1QoM981XHZnusKIVJ405xXwx6aBUuM2YXS0jaCPwaC2Zdp07J8gxM1KnpWMqNkRCfPaYTelLbBmd97YeNAOFaFOlV29YQn0qIInmIeMFxikX4U1pEusNYtOX6tKZKkgVONLhIF9ZPpxNWGA5fslgv82Lx49LF6FltT3Qp7q4Rcu4hKczn2m1GTA4unFBAkDCqY%2BD5s2dyVIfDeGeBgwDnPbGYXQqwM0E%2FBCl69QtVYbUwkQZAtSB618VkAzCPAs93Ip9qWnBMX%2BRUX0PFxCACZQwpfvNvAMGrD69RE6JSyNNOvRD8v3gzw46n8oB8mFQiYiwgidAyJgrfY1SaNrL5QDEjIIgYLECALRSK49wPmSO8jZLnesJ8oFZjWJyTrfBrNRCeOMoaVxOojhX6WVAhhJ6dvBPZ4AbMXC37YPHBFKUgA7t8mCk8U07mFgWg3wbOZDgsEZBOC%2FApoLJL8CzpXhZuoEh0ntzsvrUPhE40%2BUUkCAm26DxGMecbxuJ%2BpPJct9BZL6lVcWLmHps6SSRwqmRJeypwrd3vNnIawZkqBn%2BumMrwB%2Fc%2F%2BIAx3X3Ehjr%2FzJIVUK8Luxlv5IeNoBQPnIhvJDZfGo8KIpLh8O4iRusiuQOtytJ61yCvQUGFmCxEEliRlQmkN5wrVLkx3CUrlDG3ABe14lLsoysj9hXY%2FTJpUb3tCvpw8Ez7Wb20lfIScq%2F6wGFIrBkgzjtNLBoYqAgJoKvDHcdkTRNbmMKP7Fha6v0z1qPmfqQzKW%2Bi9g0kSWn1vQuqaJyaTAX7hrJwJgfaPjJvb6wXroHZRAD5NH2E2KaWtBw9TGd9mIea9%2BPrxlBpyjnQhg6rLogT7414uB8V19PPcBZUhnNx%2Fhr1%2BtX%2F1jKG4nnHv2EtR3VOjo9oWEibOHX8508Tra1pFg4lnAwoQ2u2JcsDi7diOc%2Fuhvd8qexCvYgoI6m9VYAg7Vl0PRXiuCdgHdKDIIHG0j73u07ULaOJJ60Y178Lsgtd7zYdOUGlMCYhR2Uhyglt3KUjPCpM8MKjVS6OgTHgqD1SSQ%2BqhzInvSk8VzFP1cI8vLxtdDvH35uPzMi4mQtJCrVUqhBWbQRke9Sjt9laOS7Y9YqUkXldpaAoofKmUNsx0D7eYLc%2BspsKbO71qdmmaGglAJjo4kj6XlnIWS1hQZORC%2Fh4i%2FCdcbaFFuxb0AYMJ7EdQExeIHEdPRtCxVECvtxHzbEyldDvie9cGKwImUuI0xEL9W%2B7FhefRJ05ePV427NJDYmhOCwBDNBP5LrIiblD6aw7pSeWFA%2FlDoWYMm%2BZEcF16VDdA3ALq7hDBlLUzNTL9AoVyczpCwb7xHucfK6T64W0AnDzYLg0HYWadOMPdoP%2FlliqiAlAWP4rio6stY02elA%2FLOPBnEr6rsAqtMRsS2g6HJtNANGwpxTdZEP5Xt5mE2gPs7dE0gyQv%2BFdd8QTBEqmAeMHtNnjBtKvg7KmIZCj9303GT9mWQXZxolBupTHIhJT%2B0WN7uu1FbRp6NnSRDIj1aXRJD25s%2FAD5%2FIc2OQ0iDp7%2F3Dbv3Oa8McFBhXrPpAKzhrFANFpcnLmEVTXjq0MO5sJAPVxFbMh93VfD%2FDppG4mBzXSgVfXJeWNNxoKF8QTwcQFXwQPB7QLE2PENdF%2F4vDL9zn0ZgQ1i6Nyr35KAwetsESlUtEENQbCFOeUFb9lg4Q%2FW5lUNo2fsscGbWY4T6pynpP0Krl%2BJFEfY%2BGGHI3aj8aBO0K%2FndAEPa5FX51Niq7CEOhoB2hSpGAgBT5%2BuzxAMzSuVEeQmZIbYew4tM4UsHYdZtT%2F9ibeR1u6rlX6lBQlSBT6LQ9YUEAgmAxLkAKQL9PSm%2F3NQF4w7ZvdqRqMJ5DYZh3j3I1rDmyXyti0llyZjkLnoPtHHwZd%2BfwWVz9ztMTMCFjpKBVWAdcYhRV6wY0kRv47nqddzEhQvXsqNstE6GNiLTd8iliAfI5vfm2KjfTQwbxz2uFzaUL0A9VKWzB7VrWS0QvlqVw9VCXOB6RDSgbNtW05PB7pEz%2FHZkv%2BXQTUD8mSQ3mJk%2FEUe3%2F2ixiuDVAOBfyIscXixo%2Frh7BHtl5KSBigokAOClzsk5pj5X5S9GLKgu5AbQNotZBWU5zoIzScHQKjeFNr0MiX0Mp%2BlHmHKuaDcfU2H%2F%2FhJmeXl1nPE8E%2Fk8ULZ%2FCLYtwJWG4CHI8h5ySfOAFbkRVFJyi0KYkQ%2FfhDAjciw08ETminGEMzG%2FwOERVW0AEslZEl4sfr5AYRKGVSMzkDSQ%2FnhkipQ8y8EF9ZRGKCOxRzfpNMubhc%2Bs9lZBHqNegMaRLozjP%2Bg8CUsaVzp5Wd0ZI5SaeSdNAD1HIc0vTPw7SLi4Jpa1gGgtEY865KzsFCn6I1RvKT3r6BVdYGsBPWdVzeLfbxKi8BVQVzd9f83goEpezGYiAXT8S%2FpW37TxnZ6f%2Bog248Vvj9otMMAmzAfvCpPYmXIx6ZAKAwBH737j2KJpWyuPMnFIBfqRrEBYiTiWVjvdx5T7k0dwFjgjLrLVm28m%2FXLNfjkSOzkoh3hangxcOjvxzVDIGSxYBxI9ak%2BDsrVTPAlMWZD7OThbuxdkWjCtGwtH4QzQdpmaBsHV8Yrg1iAK64TC2WMbQJAFFciwJFPSRQ86OtUrnPSODgRE%2FhD4qWAHDlWBDy1KPUCEbpodyyU4TnaIFzU%2BtJJAes10UhzVTNE6fGDGUN33wCgAZYoIz44wHk6fDO7wGbAEwmcVQg1HGGByFjYGdwJD1joA5AM8olCJ1LlTUGB%2FkhlrmbJbCbD4Uj0GZTy06zCTjOeVkJKZzqk0nE4%2B3RmlgDHpJwCwwZKOl8SEEH%2B8TQK7R6TiIPAy%2F5M08zWqjpXg4KWF%2FMNQpvipZJ4KZfGsivxCXyinAY16NjMD%2Bkgtfc8pGpAgSyN27l%2BuW3OjjOCnldBAJLpzjAYdBoh3b0yuYkLj7c6iwxR9NHW9WBeGVYjvaTEHVq2t96HA16vtKz3ZgtNuJgpjnNZRGEjbmQuiQEBJ2BdgHxFDqf0F1dQJcS4sIvDHlCASh65anDjgr07Qa98i8Jb1rAbSdOOz0cM9wlKXm7ugzOMTmi8EbeTBIoHrudZ9RSwEtADDsgyFwnxyfzXecDzLGFMmkRrGWCdnWVnSMMcc4cl7NaF%2Bt%2BgTHgy9s1SV05LLaw7YYgNxNKt2kpiEgpahsRp%2F0tarSWdfS3AdWYIAnrT68WTwX1vtPgL7EMcIzmOpOxL7oZh%2BcoizveUkJVmjedZZlkwkno1E7%2BjVJIoz8APlgweTgHUL%2FGciPnYgtfrq4TtxE4adiNQ2ZgyJHWYWmrMlW6ebFkPaAUwzKsAhoGXxXGRGKFObHKQOqFOnGgkyLajFNwhUa4fqva2yI2DlREZ6p0CNOGwR4XCrS4K3SH8pDQGvZIaDcMPtJUoLRM0owJ0iT9QcdRK5IRIIpAOzsUotf3TbAVvbQH8n5voA6kUzw6LqVnwPkmnYxgJLYiQ7hQYlEsYL4k5GCZvd58ypvZfwO5t1fXMTj11hE8GuAZhX78JMPsK%2FJ0yQqDPk4Z%2BJbbXS1tia0EBwCjgWUJsUI18clQ%2FL%2FH39pOY3jRcZFFfW7bC5v98f%2FwQjY4osg1CYvJfYmKVWbiPLEpDvlTEGLjUbCmh74cUqKtsVVr9hspTEdTKrKSRjqUHkhwgyUQeNizUsUp3cLmGnOoxPIuzYDGHFJxwclXasrQR5Pp4%2FX9adXL0zyaNRcp5govE%2FKIiLMyYKgb3rKpuxbm7t8U7GiR8qcIvzarYOuIr0z8D1QgHRWmwQj1jMXJlqpuDBiVUQD80Fnr7quJElyEAs47dXRoms8yEtA2VxNaYbJmUQ%2BlsKhyYLlk2q0QMXQSsMctgTGOka0GYae3AxbsfNKwpf8YnyAYZzDx20P8xvD5aQ4OkVtbj%2FxeO9gPGmBGT3BiXsWroQWXXm7Mw8XnUAttSlNyNEsqWLOLy5MJLmMa9m7Abm0SuOJF9RWA8VDp5xMP%2FI6LaAKUmkqt6%2Fxs1XyWrgcDo5hjmvshCSHhWpwCludJPk5i4bpUhqFw%2BRmK4VAI0O11JGtbQ64l%2By0LUdW7GarSUUwP47kW2CYDEdvsA%2FTXw0I4OPf2SvJ0FKjn7aZxxwVp2xjhpWMTDxaZMkiOxaFFLydXq16fefH2qVJybgXVpioGcKFhS4AjNTEa5T37zLo22Qv1apFD5qUjB9w8yA0vSc2RMiA7xIsRIGBTWOjHH9SZlK6QJGru7w%2Bq2GoC22fzSVxkr%2BWlT9rAABqi3RiLzDxns68PSEUIxqrqFw8oMUhIeL%2BSdTHAvw8M5C0b29DIIfScMQS0TKwvPEq3kAQvxMTC0D%2B7tnB7QNRliGiWl0NuVnIUY7QMwRkP%2FgVT2WDBX08%2BWLDc%2BiW0mz2CZ3IAvWqesMkIe3lWqMvUDL5Q33McSklm9U0P9SHgPGGVlX40diyUBp%2BpfWi%2Fh9sKTOvCRCj%2BeFIWvUXobOyAxrHlhKFGhOiw1vyKUiNMgN3k9No1jfVEpQEU35laY1OWX0u%2BF%2F3AcQq9opTw0RwEyxVosGLDgIkSdn7hs%2BIHrv2jR%2BJUh2kADlTtyX8HxtYxLUhMLj3%2FFpJAhfxzoRspqTIQicEOQtI1iv4n0xi9GiED3BLS%2BriXyEyU1v6KfcGAWCaq%2FgQ5kImR6wna1UoP6KtpT9XLI4EebxCRQriHsHkCOgDlZM8hJEHcCfGIERpbdeZFFHtE3lBjH2cIQ5p7TNVfRTwBkflxGhmddY2YfZbMF0bFv76YdpbH3dxSKmVVsblZW2xdvOxqSIQqbw536IFhJKhELagVlMG3LQqHU43e%2BRZjx4BJExsLcLX1oShyJFvhFevBTFOUF3Exw2yNBWwMCW5QA%2B7UmPhwM7AMOXRddPg6OxuaNAmiDYRKlcHo4FwUeta%2FLSOUyYddHQi3OFkb4z35KYG%2BxJAOZ8LTMyJ%2FCgARNXgZ%2FC%2BfKy8W7VwKPzhRpDnIMS0ClN6sPMpa421GfuLwApsG0C4FpdCsaLM0NtsctgKVSkeql94%2BXUmITqdGBajY4m4NmDFEk2HiFjYtNLmZSxNY1QM4KakEvIQIFts%2BOJ0QCRKvhCmQcfRAjN4VmYgb58CBUMiSUpcyuEfRFZS0SThDQPO4aFcJiNJUvlFdO0s8RaeSdpOSHscV%2BJAIchHCniOYTsEqhdLZtWVSiAw6hEDO7LI4or%2BkXTE6zB0CA9o4NUeZIpS0Fn7Q8lU4X9sZNCO0uPfjoWqOaqDVcbxBJSAs8RV9IcKmOPY%2FLDUnXDLSYfFT1xyNTWRLKRW0kFxctTIuvuU6R%2F%2F9ApGo0EHrqGH7dEmsI%2BgA0UXpfNwWFxUHz9CYK9toXP6IlTFRhuGh7z3bhwL5qzzoRAF8dkwboKslbtuftJDrshFMoBNaIvpSXyAFRCCKFOKEkzCkB3NDQB2qtV%2FANwHNea%2BAUDr6WWScJazRx4glReLp8vQ8sFtz%2BhqehlJO6MM5NMIc8%2FkWnwbE768NqCDKBi%2BpY288WynJ1CT2Kq9%2Bo6rhlUpRatsVIsacJhA%2Bq8M9X%2FUQMRZhshDAvsXwlZfxDn%2BWCfyJyLFA2s54on9a54PSC3WgchQWZLZgEl8xGrFUqCofhkvqYtXjA9XyewEKlnAtD26XlSvqtdhXOT%2Bi5BrX6S6hHVcqbZ8qbh%2BEzffUpCfTG5HULg9DQQaQ6ENkkq3DvUSAQwcxh24qkmtdRoIMDxOVDdy0T2w3afIBABsQGxnqJaAOY1gWawTUuhslaSivzrXaPcRyGhUkH0R541UbNvLKiY070WOGYY4R%2Fg1rfKhHcjoV4p45o21tldJXmpG0XsOekNlYucZlkAWkVUHtjkSeUbdfBMKrGATodKL9arS5JFVovaKRlOWbNJIS6GHxuLt8CX%2BBYQUYDfxlQrQQhL7z6vChINNDAVVN0rXxaKjegwIPOJf7rXfHBBHGpBNpaeLGFXCBrWAdpIwF6mcE7pE2z4HdIxcWkU0QA3TKjZQ%2FPNc4VwWA3OqmXuoleHBmMRLsU3ENaVgIpVnIWvBLVDYNLzVRdIefms6mo9VoRQZ6cCkQSOdK6KDkWEMZkQyIEM6QUltTfQ1xFpxUL%2FlFho06RSy0MhFQCIEh5FrTToDEgpZU4QcT%2FbYWc9XTPTTM6ZiDUk6d8MHSyFOgi3cE0Oh5I2Tv%2FThHNjxg7A0zwweFEVnLpE0Ai8Q9OWYcdB1zNKwLEBtxjc45oHjshf4AMMWhwwRhRdBnjEU3iL3TIBscW%2BvDMwGJnW4omSkqIJxsnzyWwZBg9lQCsSZ2CK25fZnAEtrlT3WZ1xUoqsQBEiEMEmCZAjQU8EhBFQSUEVhPwf6Ekh%2FQtYOKDqg%2BIfAJ8CuQ0oaANSG8CrQwYJAhV0I0D4CXAOIBYAcYMUAO4A0AuQNYAwAWgJAFzA9A0AgoIOA4ARIJoBoDTBVATUAVA%2FfmHjl6j%2B5Pa79V8K%2Fh%2FQfNvjz3P7ler%2FHHh7%2FPw68DnObsHvPy3cPPA5wScuOB7qBzX7b8SuTXQrw88fvOjUnszbV9wOhztB3%2FrTR53FdNbVFq3a82jxmuwOcluBDDjLjOjALxD3%2FQiP39Y7a5Rt0oNm7G8V06nAGXPxV3oiByNCcCfXAkpuOrai62YwdiJaYXnQsst7b8q9lbH1AhQ4fOtIhMRO4kqFfJyARyYkd8VFgh1WJGVCPlA1ZMLjSDAUNwDDwkxBcqWcEmILYipcSYqtCIqlSAqaSAqUCAqkjRU7GCpiLFSkWKlAgVIxAqRiBUbDiowGFRIMKhYMKgwKK%2FYQV6wYrughXTBCtmAFaz8VpvxWa%2FFYZ4KujsVY%2FYqr%2BxVOdCp85FSnwKkjcVGeoqJdRUiaio4xFRNgKhy0VBtoqArRXysFeyurkV1bquqMqqonq%2Bh2r6EqfoBp%2B%2BNH3jn%2B5M325m%2BzqX6%2F4%2FrnjqtKKqtoqqPhqmWGqVIapJgqjWCqxYKqxeqp52qenapVdqkp2qOnaopdqh52qD3Krsbqs1uquGqqZaqmdqqVmapLZqjdgLkVYtPvgiXswWobLWxLWyK0qjACE6uL48VDS74vVFa9UPr1QitVAa1XzWq9S1XKUq4ilUQUqiClULTqhKdUDSqgSNX2hV9IVfB9XkdViTasMbVeTarwZVcjKrSZVYS6q6XVVS6qiXVCBdUEF1fgqrzlVcsqrdlVbQqrWk%2FZ8n7Vkfagj7JEfYwf7Cj%2FXof68j%2FW8f62DVWIarWDVaUarJi1YsWrEC1XsWq9C1XQWq1iVWMSqMBKoqEqhgSqBxKvuJV7g6ucHVwg6tqHVrg6vuFV6QquaFVwQatsDVrwatGDVnAascDVhwaoyAqiv9UO%2FqhL9UBfq%2Bn6vB%2F7kf%2B2%2Fx%2BtVskpnZEuCUxHC%2B%2FYuIK6NNKiB%2FEzIk5DuCcPq3Ew4GQBYmlqw4gUEVMiRKFQwiMCQcTgAAAAEDAWAAF5ItM%2B6bFophhd3N1nA4zIKh4NARWfqCooqII1UQ4kBYJ2AQsGyO2lAp%2B6Xiqm%2FCkfz5urtugisAuGzxeNHQh1A73Vh4dG0%2FNDkMQKtSO%2FBTm3DojsrbF3jq6kKdaxNxwpKvTKteAnM7mCQ85oHLN5AxXtO3FxElkoEAFo%2FY7SdVN5daSO3q5Y%2BGBpQAYrusw%2BEY9%2FXMmtYT6y1gbXXfGgzHr8ic6AN9hcvHwEYELAoOjr69A1yaVwaL10euR3YUZUZvQl5xZXoT8YeJLqVKFrjMLT83%2BN7REmekLvRn0TLh%2BZMzVhvjjOcuh7%2FDGoSIzhcgAEyu2q%2BgmErl0SoAyvHf0gOOHkuRFZQSSkFEDSG4HCQ838BiFt5mdNnEIYrPlCai6RoN3%2FEdkyVeA7o%2BHQvKrwD5CYAAo2RJZIeP1xRy%2BlJaWuskPYYJ6GKPdNLzxcio1M6LXHJDQbx0X1i8B9YnLsQYerRiZjBe%2B2alDqaPIASEoxCeRAUMVuivCDeCNo43Zi%2BmFz4viBZJrJMbwxhXGCv8CUG%2BGpgMJzaVH06hQdq5woKyZyKYDByVHQl05OpUqPrSuURMAxrqnfhkQENbMcnlzk3MLnnmnljBLSdHj488rWP0ithH7Mq2sETRkNmgYc3AZSu6gL%2BCk4IDhPtHR057XmxZs5enMzU7IR5rdjAD5bhqPdP0mGax4%2FBC5rzvd%2FNmFSTuivxBTftCPQY%2BTO9CX4l81r5FFfrkZ1yrTcaX%2FE35vu8hUNdTlgS2iD0q93mIVdiG%2Bzz6ZoWvKaG4axR1VGYKVxYs%2FhBQR7uUeb1mU%2F3VlT93WVa55WteFObdmuaGauUaHua6G9Lh9q5rpXj%2Fwgi3iPylvEGKzMA9lXBUjbXHUnsEBSjM4dcmrgF7f0G9lwAQt4RLmuXHbpvBr9TrIO6tAdGiB79MRHozMKD8uVjof8zfR8GjzHzhs033A2Py%2BejgTAGqXxpL%2Fw2WVk1lFTJqz%2B0kBeRuJCR5GRySPRQSmUbztwmWP9kLIWUhlXSVdCicr0AP0QVDW1JhE6NsgqFunp2ST1zYgQv6Qnhu0JlL3GiFmbc6pMG8mzBJsoRi1z3Z5NTM0f1ndDFjciaUQqsNg6uq3fi8dFUAWOQGs1VX8XhLFmvpemPhnFsJ4EJp5fMYZskQQsqfYfD9NJDx6cnQ0sTSuR2L40hG49L%2Bmrs3RoC4ghACgxYOijJAtdpXHsZI0rFXEhZYgy3algwWFOreuLxQmZTNtXroCxgYhVHmAFChJHArQSkYK5FLPlzPCQ38AzsClDlC4ke6RHiVatgqkBMcH5a6mGXLmcLkgxPCTi3IYssNhBMcXoBJkK7iAw%2Fq1cJO27YZZ1dgwK6TjpcOKZhOClzaJK94ByvnLhalwYwwHNGbpKKrMoiCUVvMU4ZDGftbGmdYDSWM4M18njvCm2QeRAFzCJCDrWq4fFsh0jgTZAy3lAyEhSb5p3l%2B7zqhPPDOxcQ5kAj9XEi83gCXQDB330FUKUN8JTMzokg%2BMHLm0D3oGAQxNjGVUC4qv3mNqY80W8Wma%2FG%2FRJg0Pokw2Jil%2BUKRbOEH5QZhYg2DwSICOBEYPtpPgwWBiCfyJ0YCZEGKrTfFYsGyw21JEW52PoQdw%2BSszylGkFpTMhd5kWLnyTIQai8z1ij55qLRN75GxKwkR9E1MhMUCbxmmw63GyiBjM6OORqQNMpJtSUqMssFsiIRB3bOWC1CBqx4cDrtymvUnfKZrNpclIQX0iC%2B0SWyKIyxEbrSIkB4ly9nnkYJu6fFFI5UkewzCvGzpCmkfDtvWO%2FvOQBSKG%2Bw4WeOGpxQqahRKjqs7pmglalwleZKZnV2WNi1CBepIZxSes8CtZlRI0GWmUOVcYlpvK0hUKRhWaEyXRViM53DzUU8eSDYlUJQqDMmUYc2RuqTtfeLBUIWJzpxmeJiOCoAXmCaSqYM441iWisAz0U0EQHSkfuH3o9uyZk0g2C%2B1Huy1lYiCySpvTSdjMKwTiKdQVCax08qRNA1Vs2wiL2IyamfCpg%2BlZwXvOo2sB1QB9xIdX6Bj6VzRgd4UoHI9PenyASnBA8k3EjsE1S2ipMclWB3LPJeWzSHOikaNhJsFX5zoP45XxaGhDK%2FpP%2FDIYztiS6vqMPACWcgP2kpZWjOfJBHYRQNI4tp3WUQGWpE8ZqoZEFvYJaFCTkUJPdTqeYpTEWodgDyHYOTQomy%2BoKxLC8BtejPZfK3UMphCswZ56qASoLK60kVHNgZzT8%2FUWcqkls5xsQ57uoPAv%2BCrnsSCROispXTpjPKe4ND10sCf%2FElOsPgR%2B1K2fX5hXhJfNGzBWCpiE4EjGUBgUzovLqcdL1yqDbTutsHLe0YqwBcpKRqcP65%2Fvot41Eg4cbCrFOObHzAyIO3Np2zmgIymMqrmdZ5wgWiOKMA%2BV8kKigbnyOAnZzQK1uMozbw7SBWI%2BtpCLJTN4yFsnUOPsR6JqbOmnG2mYUYJV0I%2FFDRgDb2YBKeBAzYRv4d82IRIjKNJ6kthxBIf4f6tg5Rewqogb%2BBL89Xa%2B8Y7mPwJBnr%2BqyHL3Me2KqwE3nnFG4NiIrI%2BvziW0DG1jcQIHeE7iAwtWHXwFYTmEfOmdkgt4Pr1n2vJwnSQymN0R0NLRTgAHjDVSIfITmkvlvfz7MU64jgUChw5hCXsYgG5gXyQ1osKsxCRhvPgsghFG5zI1CXCBIAwKkjyKLeqBc%2BfEUFiCvfGOta3gR%2FU26my2RNT0gywIO1yxoMTM8Mlfo35lpDQ4jfU18jrE6QiUumMhcIndvm8iDoRH8amzyNFXNUKcSoCnh5AQYr61lElsUE1avUS%2FnDanpv%2FZFa3VH2JIq5OrC2wDxYOhlkZf5BIr5I2JAQY6MewSa45Ob%2Fz%2BEjpgzBQTlG3AdVyHpu2GkjfOxGCSQ%2F4KBsYV%2B4WC4tHrRIEC3vi8DWBGimk2R3cQNWDhpiR%2F9KQZE618tdreVPJR485XjWwoxbnLTn6IZ4EjKrhRraDtVPs4zmDldmpWjWM5L49vWKkkh21cJ0GELX5Hje5CUKJRNkIrvqKWk7bw8b7gYD5fEhk7VgXTHJI0UsIqSimKH3B62CsLrQWXjB%2BoWwKWamDL6RlAYnwhMdNFIyfJuJIyo2hI%2BRLmmREVRHaJdaBYDQo4bDl91nK3Zy7hcqlXpT%2F%2Fg9jl5m4DVYTnaJOAoq7zjeA2QzPBWRnDjFKG0AJybS5gxwd7oVkVIAgAqWCrwA2TuCFHn%2BlQSxm2EjeZemixAGSIByWTtmzQII9iyI6QxlnEfiedIUpRSDRKzAojtJx830mEfqcSqHRLRGSUmpIkhYAfBXhL3h5wRAsiPnzp5CmVoG70nYHSlNBsQEOYNSYjVHmDMCMyyhMYHx%2BhksBoo78rYc0vB6ClzXpCsSQL0xuJj0lRG0q3NgS%2FgqHn0%2FdBeijOqfmwAAwNmamjdRSr62goEAhLCK0y0mqVtUz8B3F3pE3rUMN9wQoCtpvRAK3sFTK3tcPZnt6Z27rdUEcCb1qxd8b7ARVibBsC%2BRyonUCCcPwOsBKtzEuPpnx3V%2BQo3FTRLkQsTzT%2Ft5GIpAhUffp2BuiRh%2FhQEK3waIhUoJczWFQtyb9PP5ODdKmoRpQHa5EoivjH117VzUEyb9h3I8XFhYGY2GgobkujLXrm%2BbJ7HN7wo3WOTojHaQLy5ZQH60wuIar4h1s2FLyTWktIBtEtP6PSDSPebTewSizvHczvHVzmh8LyM8TZbIzBlYhsTDRW2MtA4tMbKoUyaOwZNB0EcTEoAHayrWzlDMhazQx8GCH8%2BXZI4EskKhE1hnN1De89ZjtBMDWCxLN%2B4bn5AnyOhxpTflbO1kA%2F0EGhUliSyMtWT0UMb%2BqEPinhEFYyHEbAUyp8tYuqYDRipLscjyGJA3zbmKdMTMI8V72v2ZQ8R1C6WY4qjndJBCREkDNEWaBovAOsU5JvqCCECn5%2Fq30Wfs27Q1NX3PB1CxWQYK4rW6gl2DEhCJLvzF%2BBEKd6LLjbQMVuJRpueMSQJN40n5WAdyXvuYQeXUQsoQDysgsemARNTywlJKFiZeuo5AiRfoTmTq6hkwijNVgqADIQ0SrFqBN9hK5RC2ZzmikwVm0CCZzso1HPlzzN0IP%2BQCIQZ%2FzA%2FJ0cIiWLfbbDGvgdRmzRiOWxhWyl0iXpQfpiIVEQuNo2d7rj0OZeiVOeay6x5oKlhwZCcg8KUij44xrtH4IX6UM37YQMPXh6QvlpkcPG94IVYA3iwMJ0L8LuuaogTlCTJsenAjL0PQ7L1Pi8hmGJdOqOJeVo7ECLPOdRHN4hjBEITrTPlmX622a1Nkllc%2BXvRIMYsWFbQasKlkKf0TuoImAklJXaN12zLmMOiREi6fUAhVGrkOVhqjWR2eenOmgUY7GLcmbnAqWpftrThQTmBEC5zJQBDcPyN4AoXnInBM2UJew3uo3Osd%2FVotG4JFRB1dhhN21R2ig74o0Jw8ZN7VnA0lWB0lDFZ5PDtyXLlhvcGuF0S6Wr3U2CqpnkDjwB2mBQdPGRuL5x1IFo03LEOsHEh4MKRvE9edrMh0Snaf0cShzOIJdiyBYWbPeMzTRGYsBHAfX1laNIl1ZVxzggRI5m51PG59wVXQ7HQGRYRRnGy89qI5okgmTpsdUtZgAxPvJ%2BWcqIbSWx6tf5yN%2BuJkKOjROUqEcP4y6WDOTFIXxQkr7hHBS7hmbyT8AljD77OJLW4CQGYAb2Pei8bNTgMttEECV0uBXZksyIJd39JlDyojumSt0T2TM5i3S2cviYGBEzQtmTKzAFB8QEcXkZq4YmJ%2FTDWdYLS0Kazft%2Ba%2BC7HwNZAJaVEY3kfqPHY2SBxchsqiGqJLn5a%2FmjEa8QgmABHka5AWJ%2BG18I9w3WjonkFGEwKhtgp0j8YPUeYEncSOLNhhwVJnEiplRLfp6lN7z5sAMYVx%2BA71pVUbhIzIaaNzUbAarADBLMSSoXqKXumbEiOijClhzIbSA5gGB2qtutd0MjQyWBaAzJmfqki7MMaEQAOCXbwaXixbEGNFnHCqmWg8qjxIZ0oeAxEPKD1A7yRyuS4AIRwOrQJ6DxVHVPpAc7aCkBHpHC9GMxBqe9Qt62zjQGJy9sjB5efNIj3%2Fyv2r6z%2BSM%2FzuFE0Za9wOJ37u2rcQy7P6SvWZqCuEJKtvjAUTarXAcyMQRrVOlrD0HTsN2KDiUivtwmgj5U9inAK5%2BC4IqL6iNHhU7OH98NmQILOWxNwJiPwwlnf1QAEMLagJuGLoYUdlqBRDn8QcRAg9AuLhe4myJn%2FEoxUfepXHhZ8Dk0BKaH6znSNmNJJ2IRdEvxoTfFkKRNn0cEvSio6ek7OG7AZljFvqNgRejEgmOwp7toPkAA5CIjKCsWmYPIlxUdVDDj%2F6UQEQZwMPCocey9jKiCj3ryLWjtGlYDdewTAsT%2FytgOZKoG6jDf%2FUzE%2BDBwpk%2FPx891KJ7wcBDtmnc4Zr8PjCwfnWIE7Tz5Wh4XZOloMKHqBYibF9JCb589kpcmC6MqgAH60Nwcj%2BnBhrvYWI7IfIiYD0IThyXLu%2BBjtuDKdFNmVqTy8ELHUIcco0LUngtn%2BupQtGnWSsHRGOZxzUOEULCoCKWugvY7ZqEN0MDmNHqeKtmwQSOPoR%2FZ0KGKGB2wdDYj1CrZsodEQx2TukU2%2FMDvJyPuRgDSC80jH6IO5DbRYrS0rIXfANDM017avY1V29khrSTX8G%2FWm5HQ3j02j1MGoCeHm%2B25tIebrUOsJUhfKhD0EIEeXj3%2B%2BQ43UQYWPGKRd5tI6RgOxzkuNv3Ji8YcsIU0cpJNn1rQt1eBb5t%2Fe6vSIMsxyrbVRxAHaSs8%2Fijk5AW1W3ajQf6DP51FkKbjEEaQp7ThQOL8pUajXNZgjP%2BAGWp2PntYtYtaMRzL3lOTlAMAU2jKG8l3wMD%2BbxPb8RDFLiiPnwnwm42DzJDXbmbGIZ0jLkON0Ub4bgHg3f5pBR%2FoVAu0YDFztE%2Bzps%2BP3bAAWSgSxlY2S3LazAF0KZAmzACvKJ%2FMz0beXxl%2BeIEFgZCLRMTD0eI7mFnojAK95ZgCTCfQOybhXCo6576fGouBIpcPFCU9ALkeU0pQaG70p3LmSrRNvUUN3vI9R8lCXjgQBKD9twFivCVAT47aBVWQPv7zSwNj8Un%2FSFG3FqLOS5c%2BWZHKZKVGCPSmIgHEwoN5C6HgtxiaB5%2BUvBrgQmTbO5rMJ%2BCuldZzfzxgdXp9XgD508hFWCeR8zw0tDDW2xoicZACrgqgnQ48NRFvjGjGQLa0bZ%2FYIPRHYC9plKdMERvlMGhAQeqDBMhf6LZGmyElMCwEIYOo1BZ6PH7%2BWHUp1YWZa7wqK1XoOCvECZSwoJH1Mkaogtg1cnvzmDI1q5S6K8zNTnhUkglWVoNqdHdJkfg0Fxp37eM%2FnNEjkRlbYvQhIWSCHT%2FqEBqUlbxYgGY%2BMSFSRxt4bg1PVnRhKNZIXooJOn0HVNY%2FcfiwOh4kjntxHmybS7MJkM71QCMhZGbYSMrJ68qAj1YN82a3v5utE6PJoWbuOva8RkRMPNZOJG3h4NcQ9LTUNP7WRG34U%2B6pZFDjhFpbJyEq7ddJp5LrxHhOcWeKH5m0I1Q2anhxKm%2BO1yIfm7BGh7B%2FjqYiPKEBJ6cFrT2ZB6TmSyLIpnTVkU%2FYqVla2WfZcp7SSoTzv6vLYtG8AgtXlxfWZxN6Gzmta1EwxIU6yE9s0x%2FZlSkSYE8X5a7%2FVPKA%2Flig684F00nmacRk4WooPYSFBnHTa1ebr6zgD%2BMcOV4BeWlJJLrL0qnYZSAVtBA5UxpOASkxyTpYRBUMiUqxjxU%2Bce5iSPwywJQRsno2JDcLSzoQnpUALmNJE%2BWSFPdsteXHMocr%2FC0IqI26humQ1wKQoHcGmUNYBVwIFZqI1azUTzdFmIOugxHeiO7FGrlsIVmnE3L1JrCuYeQCJCpQc%2F0JCGgQIe79NvrOoYeDQJ2REZcyhK7ihxb2NeHkVj0aI0LIicFJjQk21YaBO4G64TBu2IKBTzYheH2CASyWnlbZNFDbFlJqA1Q4kIljGpwnmhmXbOSQEgWsMmsHkBZYKRUWBv9HZZ1N1JSN64WPlCBOt7zqAJMKpczyNBpzQk5o%2F%2FxDjQg86ozQyN4waltVoDaLJOfWjYqewlULt9QO8N4AqlP%2Fo1ZIqJMaZ%2FORyILlDFoGoeY2%2FswI7MBMVXSMJXCUeRsJjHIU6kNEsAqZoBDoHo8Y8pZtM%2BGL8OLfcPdBbsbvRZuDQcyyrZ42OoTsMJ2GH21od%2FRCfgHrkeCyZfMOkWTSYgXtqYxGIGLcI5gKg%2FZR2xnb1upteR3rcNGITv8oKHpUWdLK9kIZlFfEtPUNAgnOY66o0dWYJq2a0UT3usCxxDZm0UIViE7Q13vLoyXH6VgLZoJt476o2dZ1DSsnihertfmTnTdREBRHm5ASIGxMbMSITKCmV5fMqgFiewxFtxqh5yfCPkmlKNcrJfmvyKlbaqps0Oa%2FBSPXk4FJjtWF2wOHfpFY63qA49US3T180HXmbqEjYsSpRFkkOVMCBH1C9JAJTRgjCWNAjl2MSA%2BvZjADldAJGTIoWBOcOEUI4qwvBSI4hMj8m7WHoFosA0M4Q4yS8XtN%2B5emVGJDGqX8D5SVbE%2F0bWETJRyRFYKQ8umFTkY2ZnV9Lz%2BVW9hgHq%2BHYhsrghzcANy%2B02yEIiJuDFngZnEHSFnTnqDAicaKOgtLZkRXBqGS3bgcqBK6B%2BmV5G4%2BxzA1IlYTTtL30wAPCkFZuhlgsViFEnA5Rg4UXmBbXBAW7JuNvZlXTVsYDMV305DdUPX6QyUFMwndSexwLkpBDsIQ4lUnD9QoEF8QmpcQk8FJckIIkVwvETqBSrIvHRim18B7iqFwNCcFoUKmSj9cSfX37WL%2BCT4mAKH%2BS76AYlpBE3eYErTSL68qrzEKiOZo1mbN1ujQapDrmTWb1s3iBTeQMCYcYfVeS5ks0rTlCPWr9AjV%2FbgZ8To6s7qOr3%2BkRUCKT5GAAUzFlHOkmV3fJEImmhCZ4S5ivYOcC3SUx70Is%2BgfKTQfQBsES9NEX4x0WTcQkWV5JKEJNl0UV8pDmBNnC%2F4qRYIkjLTUknCCTbfLBLJzy4rnSGTntJHjdpYIWlqzxK%2BG%2BRBy22IJ8gMQIibkjgh8Y9Q2H5aenHLwEJg2iDmhQybR8G3gfKxBAZwppQkDi9rFMfLSe8Fgalu2z9mKNwe%2BF24HWYNjNI3zoQfXsIck6YiAwCMhAsEDMvxfp9PxAAxF94h42eFp8V8BZxS3g%2FoQhPG05yIyOc5GxA27VgPq%2FN9uxGcdZCP9PAWYlmmiIlMHE%2FRj3IzE8YKgGEh8OmOkN4KuO6GYyNnRhoWNSgmY9%2BVfMfhBm7xIwZPp7ggg%3D%3D%29%20format%28%27embedded%2Dopentype%27%29%2Curl%28data%3Aapplication%2Fx%2Dfont%2Dwoff%3Bbase64%2Cd09GRgABAAAAAFsYABEAAAAAoUAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAABGRlRNAAABgAAAABwAAAAcalXC8EdERUYAAAGcAAAAHgAAACABCAAET1MvMgAAAbwAAABDAAAAYGenS4RjbWFwAAACAAAAARsAAAJySvAJmmN2dCAAAAMcAAAACAAAAAgAKAOHZnBnbQAAAyQAAAGxAAACZVO0L6dnYXNwAAAE2AAAAAgAAAAIAAAAEGdseWYAAATgAABODAAAiTweHjMhaGVhZAAAUuwAAAA0AAAANgJiWP5oaGVhAABTIAAAABwAAAAkCjIED2htdHgAAFM8AAABFAAAAvTBwRGObG9jYQAAVFAAAAGrAAABuDSPVk5tYXhwAABV%2FAAAACAAAAAgAgQBoG5hbWUAAFYcAAABggAAA3zUr5ntcG9zdAAAV6AAAANAAAAIhLlGpmlwcmVwAABa4AAAAC4AAAAusPIrFHdlYmYAAFsQAAAABgAAAAZYr1LmAAAAAQAAAADMPaLPAAAAAM8MFvIAAAAAzwwJLnjaY2BkYGDgA2IJBhBgYmAEwltAzALmMQAADagBDQAAeNpjYGZpZJzAwMrAwszDdIGBgSEKQjMuYTBi2gHkA6Wwg1DvcD8GBwbeRwzMB%2F4LANVJMNQAhRmRlCgwMAIAC2EJ1gB42s2RP0vDYBDG723aSIrSUESsiHcIWqqDXbvFRe0gBJw6tTgUCx2Kk926dusixc0P4OiXaQZzjx2cnNRFhPiagENdHBx84P693P0O7iUihzLbJGM9mb6tTFrnTWhjSAEVyLfZCgnt060U5UDacrdd3vnYNVWvWlJHPa1oTRva1JZ2tKdDHesUHiqooYEjNNFCD0OMcY2bR0qSr10pcc8S6QfRaEF9Fa1roKElnutARzqBgQ9BHQFOEKKDAUaYYJoSTfKWzJMo6epSPI%2Fv44sHJ9qI1malWVEqsi5lWRZXiN%2F5lV%2F4mZ8YfMWX3Ocud7jNLT7jUz7mQw62ouwafyvj0jfW5KzLLTZkX5EpX6B%2FLXfxYfU3U5%2BPg2iWAAAAAI8AKAL4eNpdUbtOW0EQ3Q0PA4HE2CA52hSzmZDGe6EFCcTVjWJkO4XlCGk3cpGLcQEfQIFEDdqvGaChpEibBiEXSHxCPiESM2uIojQ7O7NzzpkzS8qRqnfpa89T5ySQwt0GzTb9Tki1swD3pOvrjYy0gwdabGb0ynX7%2FgsGm9GUO2oA5T1vKQ8ZTTuBWrSn%2FtH8Cob7%2FB%2FzOxi0NNP01DoJ6SEE5ptxS4PvGc26yw%2F6gtXhYjAwpJim4i4%2FplL%2BtzTnasuwtZHRvIMzEfnJNEBTa20Emv7UIdXzcRRLkMumsTaYmLL%2BJBPBhcl0VVO1zPjawV2ys%2BhggyrNgQfYw1Z5DB4ODyYU0rckyiwNEfZiq8QIEZMcCjnl3Mn%2BpED5SBLGvElKO%2BOGtQbGkdfAoDZPs%2F88m01tbx3C%2BFkcwXe%2FGUs6%2BMiG2hgRYjtiKYAJREJGVfmGGs%2B9LAbkUvvPQJSA5fGPf50ItO7YRDyXtXUOMVYIen7b3PLLirtWuc6LQndvqmqo0inN%2B17OvscDnh4Lw0FjwZvP%2B%2F5Kgfo8LK40aA4EQ3o3ev%2BiteqIq7wXPrIn07%2BxWgAAAAABAAH%2F%2FwAPeNq9vQlgG%2BWVADzfzEijWxpJo5FkS7IkS%2FIpxZJlxfGR4Nx3yM2dgIBCOMIVrhAghXK0CYZCKA0tKSyQco6UUNpu2G3pwoq26hnSQrcsvVhajm0hu90m8fC%2F981Ilu0Eyu7%2F%2F3EkzSXNe%2B973%2FvePQzLtDEM%2BQzXwnCMwKRLhMkMlgWefS9bMhr%2BbbDMsbDJlDg8bMDDZcHIHRssEzyeE6NiIifG28gs9e0%2F%2F5lrOfZmG%2FsThjBFpsgv4ZcwMtPKKExGsecUUlWsWaL4M4rnkGLIKu6qImRLAdLJTOvx5KOpgizmxIIsRKWoLKTEuCikCkXCPb%2Fj%2BQq8CKeO1TYPTzqgjtHLAA0G%2FtH7WplFTNnCMJ14c4He3JAtE8bSuW8W4cydRLFlFMshhc0q5qrCZ8tmC54yC%2BbOssWMmxbG3FmyU%2BgCJCrW%2Fsgo6SKj6mb14PiWupmMUpwN%2FBf4Z5gCs4VRshmlrVpuy%2BJPtaXNFI4ohSOSVQwZpTmnGKtKMKtIGcVaLUtWvFByIWTTM0qBQharlkKRLHy6St2kU3FllXRVcWZL%2FaSzFCuIbkXoV7rFsrUl29%2Ffj1Qs5HoL8UKur9CXy8o%2BOd6bZuMxBytEhahRgrcwn8sOs%2FmcUTDGY6k0SRWLlxleL96WWHzV%2Fg82Dxqfyy1ZFPb3z5npIdcX1YNGsgvezdP6Z%2Bek0KIluWciGzc9Xr26dcRGDhcz%2BeLjp%2B544fwLC%2BunBbxdpw4X033FRVeOdDqD09bln7rwqq%2Bmn7yGwTGpkFF%2BCXsA%2BMtNeYGrEoXPlAzayANRK9wtx7YiORlGH8Pavx7Y%2F%2BgD0sW%2FyJ%2FESEyEUbiM4qjCmBHFlynJ8BMlMye6S1axv39aD%2Bf15aLZvt5kPCakSTxmlLyygzguW86%2Bf80TT1yT7up67pIv%2FZIdWUPeX3H50x885dh49S8eCNgcm5Bt4FXkFeAdHuaBhbEzTJ7IBZIQzQYY9QpgcXQF6VIPsuvZ9TD6XUU8qG6u0L3DY4%2Byp6k20jW2F36H%2B%2BjDjz7kX%2BBfYFjGyLgYRkgAexN4Ffp6MyQZE%2Bxk6b%2Bfeog979DaQ%2BfY7Q84W532zf9%2BsnbgdHvK8YDdXqMFwKQwZibHlI3Iz0JV4WAaWTKK6RCQssyZkHM4AzCuicNNkxEY10qJK0aJCNMpHxV5BYE79iaQUhl7fez1YpFN4u87GBPMl2eZFoZJhklhmOTFhJgUHETW93qTgsFBJDhm5FtvX34SID9r0fJ1bvfty%2BetcljGXBYH7H%2F%2BkvagtKGDPXP32F9dcvDyvkJ7QD65wF1msXLf5TyWseWiP8AANeSP3uX%2FhX%2BA8TBNzClM2YEYuTOKXFWaNMZozijkkCJVFcmFskExwBwAdg9Ionsfx7rcrXK%2FYhCB85mS2wFTwNyvyKLi6lea3PsIIxjg%2FLQetwsQkrwC8XmdxBhLEWB31uVr6XMlW2TSDKzWvIx0CcLFJq9JPXj1zspnXyTu735XfZ%2B8h%2BfU31d2Xq0ehJMXCwLpWsZepP75xe%2FCFRp%2FFpn1%2FLP8HCYAHEmUYEZhDiFPOqqlJo2le4fZMJHhjZW8Dk5I88Xpp1599bVd066%2F5qr1fbOvvWXv8PDjt1w7m3PN2rKqm184Z%2B4CvnvVlln91950Y3nNmvKNN10LtProm8x8%2Fj4YewtjA5aKenKeKPGYiYcrLCD%2Ffg97D%2Fmluv1u9SZ1%2Bz33slwLFUV%2FUmcSj%2Foe%2BWf4pHzY%2BBs%2Bxs8odhC%2FVAzxwERypuSnIE%2F4dY8sFORUIZ4Spt5n9r8s%2FM73Fn33naXLjnNH9sqdv%2F3Cjj984ec%2Fn8C7HpjHeZKPJYdIb1%2FWFyJeY1wiEhlNzFT%2BR5mZIKN3EVK8L1fZqihbK7n7iupHdzE4%2F%2Bj3l9B1yco44Xdk4JoIE2dSTCeTgRmhMGUGOYivlvwtICiFjBLLKaaq0ppVrBklmVNsVaUtqzgzSkdOcVWVrqziySjpnOKtKtOyiH84m0NyEKWXjiNf3WeyubytclbhXSii9pntooS7%2FqrSDO8aV4aySkt1X2tb1zQ81eIqReHKRHt3D%2B5y1VIeBZPNCoIp2NTfrzjFUnMIBVQPXS%2Fz8fykF0pBmKVRcpxzvHJ0f7H%2BD8TN2F76OjB%2BkF%2FSeAnKUhBOx7bWjzC6fNPWRifQMMPMZEaYsh2p15UDtJFkoYwySEnTC7wxi9LDRddHP7y7Si2AOBCtvapMz5ZOonwD8qEPJK5PEmFMo7FkgEzcJ59wPgRcIIVCkroZ38e32fUnOpNtOMxe3LAz9sKJzjAgPSfjvpw5i7mUuZG5C9ZqSoXS4EU5pEOpt5hFSpSWbM0hLUpzroT97kzp9C%2FAfmu1tPqWLFBnFKlTciHTmYH52rKUQtNAUs1aAdv91dKC9fjpKm2AY5tvgu0LqqVrbs9mS3dTyuFcGCDabOgksaSY%2F%2Fh9kv%2F%2F9vqQVEGCneCNjP7fzmfre%2BTR420e%2B6%2F%2F6wWwztbkReMYr9V5fJDyeC%2Bd%2FktySnNVmYOjqpyOY6qshhHdMGFE5ROMaGnj8UfP64PdPjichF2jNPk8jgbyPZV9UY36H7f%2FydRmD%2BDO2Bx8P%2F52I83Hv%2F0pKIoyPMTE%2BA%2F4DsbAMLA4pEgqRB7hsgfHvvYj8rJ6OtcLWz%2FG6y5kLuTn8fNATuN1BTORzUQwkwtJUH3rIAmS4EH1LfoGH8MT9w%2FiNbBWTdANUszzE7QDUAviOSVUVaLZcnMI1ZzmJGg8oWbcDEVAv9b1h7YG%2FSEJAiucVRJVpSVbTiTx0kQcvpVM4GayGb6VqGsZ7TDSSdAyyqwPRHa%2FkhAVd78SAK1DdgUbtA7ZDVqHq78UAu1jH2OQ%2FHiuSSx7A6S%2F%2FxN0Dw7keU7KSXEpnv9YPWResQKi%2FhO0EfUUvAile412X6a0izBnHE%2BzapmqWUV1zeo51KyaQx%2BjWz2HulVz%2BBO1Kw6WsY%2FHDLUG8r6O2I5r1VcFH1xlqiH2InG9CIhRXZGR%2BQdAf2iC1X4ug4ajBdDoouuSUC0L1JgTwJhTBFfJBhh5qmWbBw%2FawI5Ck6lkE2CQZH9zHACnmpm7IIE26wVg873JVN7nBg2NjaVZok1g1HfpBJZ%2F9vj5W4%2BQs49sPf%2Fxn522%2B9V3X919Gvl1SCri7CjiAvU8aRt%2BrFC5pnTkSOmaSuGxYfWXz2%2BBq%2BBiYhtfs2DdLTIE5FKprsdMY8o8rjgmWy5HFFdG4REfRMIESFjBTNbQcVZLIpU2BbCwCRjHtb8iGCNdFRj6CkGDhBxWbWh5g6KwAukWZJr4XfwuZj5zMnM2g0ywoqoszih9QL2VlHoLqsoCV2kp3AMWtFVApwUM2lBDwPZLxX1OKdePrNDqLgUyYFiWVgDLlwRQYJTF4j4umpqLZ%2Fvcpc6TkOE93gjrixDBJxdkH2zmsjPZvplE7iukCn2wme%2FNsMkMKSRTQioJm%2FGYkzU6ScooyIIRNg2oFEpeYywZNN7POvzciu7BWw3dPYZkW6wpkzSmM4bPTZ%2B2gvM7yZcMhi8Rl8yt6Br8nKF7mlG7wpDtMtw6kF7BBezs%2FUZy%2FrbyNvjPnhJtTxp7ugyfG0ifzAXhlMFwP2sPcid3DX3O0NWDX27uThpzHYbPzciczAUc2s87AtzJmRmfM2TSxuS0wPpt29afsm0byEKBKX70Ea8YvKD3j2ugBeYOphzFudYK1v603iwsFalMuSPblwN1oakKKiYqFY4uOJ7JULsVzPvgIVx1Wl2lBM7DrNKGmmk50UYlFAMM3eZCeaRMAy3VVeqBre6s0ltV7Nlybw9e1OuBi3pdqGeCUESHAHWi4CJSX0kalhMPqJ3aFrKSB16obnr07aLTQjwD7aSrfYB4LE6H9ehbVkeRu2WgfWxO%2B0CRyhjkM03a8CRrcRbbBwba4XtZq8Nx7BJkvvbBwXb2wNgc9gBYxkf3a5uavQR%2FBon%2FNdggXUzZTPV14HvQz82HUFc3UT0bqQRMXzKYQPAQOlnNJF5zurCj7C0V9SD%2Bsaewt4xtHduLcoRdj%2FyOAvBtkBMORmRiTBmMpU6CXA%2FSzlgtGwkSzGgCieDRZhPVSesUISIpOqzkV2TUYT32jNXBriddAX6b1aHaxs4A9Dg34o4ylmd4%2Fin%2BKZjDHuCB7Qza4M6q4kUhW5a9eBtZgnHx4JBTwxAgsMOouUpeQHD8ogBcJLtwcsO8R6Ox5LWDnLJwDg%2FMrJIow46Zd6Kty5S8TtgTGLsLT3nwlJGINl0Qu1tbeLeL5Vta3boA9qCEkPg9xE3mEPeePer76gH1fd%2BHZO2HH6pPzAeR8Y3GE3v2sGepT3yIp8dUIOlBaiuwHz3IMAYv0BTlVVq3soQcYgwWlTNDHQ9O6nggZmRhlGO6tIqTHAd%2FJMrFOU%2BOixfJsz%2BVHvb%2BhDw79lb7B209bzY9wSvoQDm6gq4FhzW%2FD6vr6No9FzFlK95TuxuYICQ7LirLvIC35hlN9NuBjhYqK0sCD5KKNYOksosgX6lXDL0g6KcEiKjtRf6kvoHyU30Dtn7z7LPUjwciFP14lSKMM%2FAr2PfPAhQyE2bO0TVID53LBhjYCB1YsaqI2kIKymSzqyTBFiiOLbikiqJ7v513y1Q3aBaVcL8iuffbDB5fiI6p7IE1l5jMTFBfUXuH2WyYpUsRqY0kR4U9R87a88bhN%2FacpX2c%2FgFZ%2FcEH6lMrdlV2HSENJ%2BCDZdWnPsDzKp2uwLQTeTbIbKzxrM6iTQ0sipiAjeuv82UzYgJ8uR%2F50ouY%2BEVF6lfgCDKnj2LicSImRoGhetDxWZJrgokcF0%2FEk8uPHNl1Yq5Uz9ZwoUzC1n0KiE%2B7Lk2AR1xUsWcBJW8GRwKMbzOocjxxUJ0sL3qiTTVZmJOjhRwXrXAt%2F0pA1m23OiqVLOnKVjaOPRwgv0LJpSZg4pO3YJk9PIGGEuNn5jXMe6RhgNIQYLDVKRcEyok2IAxvtnA%2Bf30aU0L55CmE8uj6SAvMbMOJyPQhmUHaJ5OJ7IcRf%2BpJOH8nubsCnFvTmZqZVQy6mWFsxYwSADhDFE6A2%2BkqWTReDQOcFoTLwHu8cgCH2CyWJB%2Bu%2BSKOPGHMXgkPB0SFAu0Ns%2BhAjnuNLUkXOpmFqCjAiu4gsq4k7TqifhU0otsvuYeM3v2Vl0EjYn%2F0rqYWbQFVCTSqk%2FHMdaftZjQdj6Hwupgocx1TFnE8YX75qmVfBOe4Lwhz3I7zrmw34AE7gy7ymOacgIHXGDdYLcUBGReqMaK7HwF%2BXjBYLaCbRBH%2BoLtkNiFavggsL1EqHsx4nQGd6JrLDrApiNFCEt3GnBgVQJHpy%2BdgTsZjKcRuy8tfuVvd%2FMXNt5WOLCSj9HOXdphdj4rfdXh2xZESLk34SY8xsOoVdZ49nh9rBaOYMoo%2FhyIumMWgRHMOBy2URWnXkkMxE80ir7XmUHdPZKmJYzpUtrm8qGxYq2WH2wdbqDCAtMOVDZf7BBgaqYaXBxb8IRKVEnntpfmMuFuOvVlzEqEMHH%2Bh1wnd8tryr%2F0f21us7zbIa9SHQF7LOHYtmo7TCiN2CEalbAjioBlQUgdduNQpDgC4CQ86QIdBBYgpteCqxjsMQToz0Kc0MG4w5xq8SaDcaOo5KB9bVpKulVuoInJsK2guIMWp3Vpk17cPVFZu2bKyAgrMXjjP%2FmEX1cR1XYH6gTiYy7K2rmEkAbmJq9J4ApAQ5K5nmITZYVIQHSTNGQVAe%2FC2a7ZefmGxve36W0Zvu%2FJUL9KPjA5Os0ebDMtPJodPnmtpa7PMPRnJwuly6n7g6h7mJOZ8ppxB6gznlGRV6aPjHAIyjei2DK5iMaBNZ1XpdJWysDVQVQZcJRdVG0qzgbWznUAjmzXUTKVJMgOzU3B5vBxytw3WOifKObFuxQyTljCRxvfTbMzBSh5Rc0sgQdEtkZi077CCQrfj98T4%2Bx1085xH3nj7jUfOqdhMe0w2%2BsauH98mHpCSVtJ1408vv%2FynN6oHtb0r4QvwvSvHXiU%2FxAvVXnxv2NbleIVfz73NGEBnY8SoQTRESQHjIzJYBSkwczWpzyo7dsyv%2FSejILMr6pMNh2q%2FxW2mv%2BVk3AxVExyHUL6JehAEfz1RABtDSIGYrf%2F2gbmXXjh7rfar%2Ffnbnv36rX2X3HlPbfy%2BzZ%2FN%2FZX%2BZogZpHEr9BKH9d9G35BHEzwRGB0PrDb7XD5ZW94Jgwqcw6Pxc4BEE2KC1O8PVpIEhrNcQMuIaNCQeygsZwrXXy2cbNw5aiR3A1zH3qyQVwCwJ24tXHLn3VXT%2Fd99YZdpxFT%2B3VtlU90%2FroBUEYGbAwBnlNokM5nZYPstZpYTonF4adocMEbc1XJ7z1yUGcFMOdW5RDNQyonupXgslimxRjgSB4U8C2iWHAtgL1ot9S5Ef%2BcKNFpKhjD6RqslDqOSIc07ZkfTJldV8vDuKqWtnUoHdbnMypbT1M%2BSjpk7y8TqxLskXKUCfGfOAtgeqJaSi%2FDTVVoClBzJKsur5f6heSjLToaLpoVgZfJK%2FkDvTFR9CwlY0Nvap2OosxRrAgp7vNOpnRoXy%2FyMAfTZhN2zzAZfoK8wODRrNiV%2BT1SM59HdkstH0ZmuCUcCLw6EIofqYB5UQ%2BqRwYu0oyAAorirXc2BuCQoQuFFDqPdTUaLRdVGtSw0xFF4dmkWueajh%2B3K2F78wEuobNVlbBcIDYwhHsB3lKfsAfwlelGxAltF7m1kzgqK4814EQpo7hYQvnM0P765Pu5T15PNmvVT5r3NOLr2akkKZbP0GNVcW2nQUPMwoGyxZVGtRX0QTBQryhq0S%2FywBZZrk%2Bbxj1dRSJdcGMwQjP39pSaQ1jScgf5%2FNCGBPCmgmIwrDXxK8JnXP3Gfol2pryKVCvf20RWwxb19zF857bTjfk7Q9QRN1xN0jxZPtTxUZmCKU13PLQBrMEYr1fVED64cZsJ4ZV%2B20NebSsYEAhbu6%2BwBsOh%2BGQqvCofwDYbgVxYn6Ho27nerQ%2BFwCN%2Fo3Cdg%2B%2Fxav28A5Ld2Zzmn3VzxZmu2nVmL%2BNH774f7%2BwKU55rIVAgSOfSeElA4dUB%2Bod0Q3lhrEY9kyYsIktUxCSQF9%2BFkLfao0cQCs1y3yjS910qXEktVsUwwpy0MejQFE501Au4Q3kDplBMLoLuBnhMVi89yXymOuYvs%2Bzx59pgfWLBIhwBj93S9LMH9GMBA7E3COmyUKuRF8mJIOvamFCIH1Ln8Nm847G1Y91A%2Fl0G7OYUpJxBGsJAs1Ga0cLXUCkXIljnLBAuyjaIA3MlmkUFNmm9E0FyzJiuuf85UTPPkAYOhGg%2BTOyp5YItLE4RM4ArDBPWGCPFRlaEC6gCw3LE3823siuEzWZdFHba42JEk67GQwxYPm2StlrG9FhwDmLNzKhX2ta1byam4lh29%2BUsWh8OCbxPyA0JMgukGvriUZiOAqGvPKN2gpmVgMhFM%2FAAsItVyhPonIxnALuIqpejyXsoBKhEYBiXQX%2BpMAUrR1kQLXTS622EvEoujRahExVK6BwSax73fGghmpmmKkZbdoPko0zws2A7WSbMcGHSheY0x1uvD7IcYKn8D7dzbqBzt4p25wqqOSvvKGWmrbRdoSsXRyuhoxTi8fnh4PQHq4FWoNJma5uY7YUfyDrSDKQzXjJIWvGj4TKrv5enYPgs2cQxeGvfZc0q4WmZtKN2JEs%2BUWnUtNA%2BW7EwSlWEYpGg%2BmUoTWOviYAA5iJMQj%2BzJk4vbh1s9p5PbVro68%2BRrsTZ32GhUbzxDvczfbOtwOsmmcvrKEV9f15%2Fe6F43MkI6PGmHnXvrmHtaky0oCORfyStfUL8HPIf%2Bn%2B8Bz7WAlOhhzmXKLQhZtKp9Ejo%2BHVWlJ6NZusBhdJT4Q3ANLlZRWLYwvQa065ZDIjArHaVEGkbJBwPTHoWN5n6lQ4RdpQed%2F4BgniZHpLlU3oDeSxyJMA%2BfJJ5CuwGHKK9txEFHZc2%2B1gj5xTXflqMxqw0I3du55bHlla%2BdctMNZz70%2BSUX7d19ipBr4waa5ZDdKcwnyhcKZxTaTAJny520Zd7qu5dWNq4%2B9ebi9UtXbqzPS%2B5Sqnu36CNBaJgWxIADo94oovR0BAS14OnDIUjlo7KDcxLO6JOlytIrTE9b2uYbzQbydTY6IxYwGG6yTJvfL8zOcCdPb%2FUQjvT3m%2BKphM127F97B439DPvRc7pfyAxzYBtTbtLstTJr8OGCYwOut1GudwHXW4AjklRQahouWp0wW0AHCFFfQ9lPAzn%2BIAZy%2FDSQ0wRf82trk7OKc6ZkAdlaMlDbLdKkxSRsosLDEKRg9hfkuJgTPGIuCjswGp1ElIHdCiKYpJy0ePHiG26A15Fd7IFdWZeUjsYqRXVzsRKLZrwiqH2PP37szce5c3CZDaUkM3vsmWyxmOVWsmYpFaJrUPSjb%2FB3gfxDfO9gQO0CfNkqNVEb0bUA3E4NXcuhT49kCHSbfazJTFDRcfnRGgJRRsUCawL8GRDZSkQE2R2ksnsmASRlAWQfdwLUo49r2BU11L2ZcdTTkit3g0YZ7sd11Me2IOrsnTXU9XyBxngqowsgjHLSZeDT7ockfglaYkf34zvXgu%2B4hsD223TbTyOY62kEcy%2BoLris0IhL5WO3%2Fh5YxUn7nk84PxHW8e3KCcOtdXDI4fqmuvl4R48Db1L3MoJ%2B0Z3B4EAog4kYQxmlt4q5GHq%2BxRCZGCf25D%2FdfiMmxUayVxrHozJhELSQFwDPXlTfVN8%2B3tGPx0vDSMPuk%2FASP3W8%2FPijdaLtcaTIrE%2FYRJRMx80twPyRlTp%2BS2h%2BwRyaQ3M6zaFZTfMLLqL5BcUsYrw1hzGcK0FM3IQ6QtnVMi1Lsw3K%2FrbpaPXc%2FL%2FKDDle5sf%2FjZa1IOfHv6G%2FZcIc%2FsTtT0H1Y6OfZoSMH%2B3Wx8cImmqQ6WBmMItgZUSrPUmz3dJA9cUZNDQ185yuIBiOBylK42CfXrRNSPg495XHHkPzBmcOznOcOTDnu3BbPTg%2B%2F1VbDWoUBWAWohxWbfySo2%2F9vcIO%2FhmpjSI18ONswFdmyrOoP2txRpl1SJldpehO6yn8H3HD0LNHpulo5NPhx7UUo49XKn%2BvHD%2F6FjrV2OQNi4uLdR%2BRwr1NvTrdNHMRphhafx6qYoP15YW108zQfAymxNt15y%2B6XCammYHl0hVh3490dUXG3JEu7hYw1z3snXR%2FC7yTopa4yzXMcxkoe4o%2Bu2G5r4VyaR7FBN9zqIquED38gxkVoQBAJPYrkljyuKniApCVXR4JXRRNouLtn5o4N5MYUsQjRt26Jh908%2Bs9gYDn6F53sPhX0rGIJN495r9o2eZlyzZ3cYfdwaD7mA3e3%2FvGZx8kw%2Bqb5LD6Izy3DOh270cf8s38C4wXtPQhHYOQBnuEwq7lgKAz1qQFrJokIJ2dR1hDCKvA%2BKme4ekFayobJl6qtaf5VBJ5iZoYxnuv%2Fel11%2F%2Fk2oUL%2F7G%2F3xI754wrOme%2BeP%2BFm%2B6%2F%2F9Au9o9bf3Hztlf%2F%2B77L%2F3tkxBzbdOmexZ%2FfRc%2FcjzrVeHxNYhaOR9e8WnTN1xBd82hEldHDJuogYojCgJG9ktcDihJG0Y4bQ8uJsYmhs6VHFWVyxMysfvUItxZguorhuX83OBkf6HkMoM0VwkbU6oU0WwgTuZBmU8m%2BmcRBrppz8RVXhKWFy9ctnZlYtu3Lyy%2F%2F3k3bHKed5hJ8aYuTNZtPL5BdZ37za195acP8u7ZcfcVVn5t7ygPFAd545je3rbwoeLbRt6ht4Y7e3CW76vbyS%2FxnmGYmCmvlOqYcRGo4qxgVwAFL0QHToktIDV%2B11IbUsGEcOBRG01HxiaVIDAliwlCxFNJCHry4ryUWT%2BguSOA2XhYmKDoFSWO9RIGkzIBihrzzKLkk8m31FTQIyeH2gco7j6oHH32H7P8aefBydRP522WXSaejo%2F3Rd4ymb4ORaMMrb6j85tF33rkwSx68DK75n8suW9M8Hs%2B9D%2BZSM5NmFuiYwbSJZZRUVTFrs9mlGAHLDMXSXkWHIlOKuYAFpVArsGDJHIS5lOgv8Ub4TNantmwU4uO45GuokGEuQiQzkWIOAyBjYG9dc%2FdkZB4Pn3%2F%2BWeEQ%2BYz6gOBfMHvt7H4NoxUt62sYPZAHhEg02esxE%2FJTMocM%2F5J1yLnZF4%2FjtZf6AeK4%2FjfpeJm1EWvVcRkP%2B1P%2FGY3wC%2BEI%2Bi8wqyoK42UGRPf5wObXxqvUEm0QXicYLTObIinArWtopKw%2BMhm5taSJLdyhrrxHw0ku1VCaW%2Fk64rRD%2FT2eP%2FmLWn62lpckM3OZshux8FHrEewbs1ao4z2kcFnEzUQLdUouL0xCI5VpPswJssswH1mxxNio541IsEaYSRw%2BzCQPH2bMZ5bQGwoCN%2FU96g2tfE99Dd4r7Gmk7WXtyMvqL9WDL1eoM%2FXlcfv2FqCxB6isRQWtOer202gL8Ej1ZA4tgkHgT1OAKpp6cli10Y2spuWqi8l%2FHN1P3lYX1XIba7IeJX1ZQj%2B53YkZWX56F7GGNVMLSdXuMn4n%2FUY0e2DKzdSAfkN%2F%2FaaEub2up3j1eg7MhREy6O3CnBft129ne%2FE32SSbHP%2BVBn%2FcEuRCoC4tnMGrKF9WmCJ3C10vIwxTmJTQNjnBrXL85N1dx9fe9HsX%2BSX095nCuCtKcwg2fmkXLugN30M6t9Vwpr4KQyPOwDciLNDkMNs79kN%2BCSKMFSrk7SljRGMZINlzNebksyg0AvWfIZPiWXk8BsMzrrSiqoV3gNdz4yYn%2BQYOEtwPswy4t2t8R2F1aHznphVZ1qrOd9Hj3aur8U70PhPuocUfQafh26hO49Z1GlRoUFQgO0%2FWzaNkgpnGLxl7%2FUhdCydOthdo9C1G4P7Gf53m6GLqbepb7Io%2Fqw%2BRjX9m140pfyYbYQtxc330M34lfyVaMwkzKRBZkOAg2ag%2B9Bd2UCJjyov00rGXfISMlTRZxzEc%2FzT%2FNPXnjtDMB0cVS9YQav%2FUzIeAnvmwDzMfqP9CwjRZzHuYmvWQAzmBSmVcinN7iAfkrGfPHvU99YD63h0V%2Bo%2BmO9QP7tlDTqaHJ8DlBB1iPC8J4XI1wGXX4MLcIPsEuGwWjGcwsMTwsGqWiLF%2FMnjRfHQKWFh4cRygptIqS2HS9VV%2F3QmmUUggcEebC8Uoj2DYpSk3lwtyIVVICSlBngzEqld37Hh15054P7hjCixttTPwPhEmcSJM7gaYPHWYHOMwOafABJwlpCZDs4l4ye5n3z1vCiS3qO%2BQ3c%2B8e54WTx2HYzozyFxEIemvKoNUF4hS9bpXG70hOtfCVSWsuWUBvmGAL4zrTbQX1pu0uN%2FMt80YoMOYGtSHUYmKSgdmKpdtzjQq2r1iyUim4JDLood82DCD5hV4jYKDl3PDfL43zWGlpAf4cTKGr9zFOwUja2DNvIP3cB6fSTY4UyE%2FqRjc3bHmeM%2BcnqbsyXOTt0%2FlVzbAGm0WwcCxxOvy2VyElyNDSc7Snl2fzS1p8xv9%2BQ1qujiBPhjJHahxtEQXZDdN4vFVMdeIH3ftltxSjYd9qB1PRbcQxYgnJpwfD7H3yKgWeJwK%2BB1gEBUrcL4xDucHS%2FMCpuzV43ARWhDFZMqOQDRHi6jKtng3jQNMQ%2BlcNjS3o3%2FDUy0L4RT6N3pQcwUVYl8sns7Q4XPDniL1lxhMywn1K0Qsh9vatThePjdMCvmcFGZlQMBBBCmeT5NUDtRxONpXiOdzsAsH4VRO%2Bl7kts9X%2BrZscv%2FgB4HnT6l84fbwBv%2Bliyv39b5SCZy7qLL4Ev9PyeHKDfcFKxXvis%2FOrZy3N%2FrSS03337DwYv%2BPfjTtq5VFF%2Fp%2F%2BAP5ogUVjV8b8%2BYi4zlfnroJWM%2Bb0yUfGn6YM0VzvrzBiclxNC%2FgBMlxDVkPJ0r9WnjbbRfX%2Fp84ffNXDVcxU%2FNVJ%2BMQnIpD0wQc%2FJNwCHwMDoABORH0m3as%2B%2BFO9bETZ%2FjFd6yr7lQfnwJzkw6zj7I%2FXy8O1SR7QIOZFofWcu2cXgqz6NNhdjQdJ9dOJpji5aHpXb2pKVAPs9OLVz75YXXj5ic%2FHJiab3dFkS0Mfzj2wcCHT27eWKtXPof6KYxMkObcYThW125KrAEYm6HKMc1kxuLhsb1snLxEs5l%2FPuX7ep5J7ft1XxXWoIOWpH2fpqx2qQPqLNKtwfBDmKOLYI4aUU8yUC%2BQQHOw%2BCr%2BUIk3NKRVIyA%2FJC%2BSA%2BohrZx5bC%2FWFOLvfAYG4a3a7xhrv0PGfweWCcXYrxdug3ryGdIGsHSoM2u%2FU6PJv1K9DauowZhG0B2ccd4d%2F%2FEgXnWW8g%2FbK7e8%2BvT5JuLUsGBb51zVKGuM8E2xlp%2FlyJScuo4nE%2FjzwEuMyjeT5E719Zvf2UmSN6ubbyaj%2BgHOjEdgF34vxsT5nfxO%2BnsMGLpREWxd7VdiJIUXqa%2BRvTeT1E71tZsVOKJu3q6%2Bxubxx1I71Ne2Y20Nzal8gOrVcWY51dpaqkqc%2BrNDmVpmBWl0Cpk1qy%2FgwuxKm52PxrUs0DjIaTMuVyER6Nk%2F2W9BPGGCajrG61BNR7Fdy6zUPsjaGXzc2%2BeN8zN4v%2FfHkn8aSO%2Ffjp%2BHD3ae%2BjNvKOQlaXgfewlkuKFO1yTTwUxjemGF6WXKKZTkPTkMjqLUhsW4h3Zm6KWdGYYA%2Ft4e0b3favPkZ2hhdzEnRWlyDMDV15vMEKyyd8JUg02cVU7iIF6JlrN6YlgEQrNtCmHMAh%2FF9eRSwrEx61CqJfSfPrdHej8aSg1Z4ix7aRFzwYtczON%2B9Vewedf3DY4WN8u1aBZikVg9pqdS08RRu89vG3WnkyWT10Jo14DDG6Zl%2Fhm31M3cLS%2FZ2tf1Ix999Cf%2BWVo7lB3P88uBtoEpsKVeyk1SvpDGHL9hQ8HLOvg0Gxf6fIW%2BxDAmEaSSMS1WzQu%2FNJs4aXo6c8G5X77j7c90LfrMZZ%2B95vrTVznPcadmF8j0eRs3ndbu402CNyrGvzI0pN51iu%2Bu7%2BYHbzp7%2B8Dgmlx3uD%2F8gvrDn%2BxekzMbPc7CjfZVI3uTM8%2B6aXXWazaEArkrWlpe%2BiHOmUsZGz%2BH%2Fw9mAXAZURZSjppbVea6SoMwFIvgNTgX2GdGH029cXtlWAl9GrBhArCCLhMmiA9f6GNTPtmXSqbSbAE0nDDn4AUjbpNLDeZ58yIjM6a3OVsc3uVrRUPEZzE7Oc7kCLT6%2B%2Bdsmj3LmXz0H3xSar7TvXyVIWfvOH9R2snaeBMhVlfQnZwhC47emeRbI%2BHpN3ZLlsTwUHjkvdSKvcXowi6Pt8Upm6yEN3qbh2ZfMvspsurirjUPGVgh%2BrnX7jNFzrv48VW2gabepjY54OIt6aVrW9KXYJ3695gb%2BPf4HBNlZjLzmdkMLk%2FtVWWGlk66IKMMHlIK1dJCIEIBVL5ZFnMgaGpvyw%2FTPC%2BmZJ4hup9nxNZ0fnhkPhX6QBdjNmyIAFmMsbQhVQgbskCZNJ%2FSio3yvQWj7JMLmJgwFDQ2z1t%2BxZYvjn5xyxXL5zUbg5MP7BZmd5%2B2%2Brqbrl55StcCKymEZvSHe5T%2FUdLn3dpzwQWJJR4vu77N0rZu9Yb5mcz8DavXtWE26MR9y4ahM6d3tuVOH%2FiMgyxMzJ0RWHQKlryvWbjuiq2zL%2FBvaG3FaQq0YIAWCuOjGQ0nMV9jys6aJTqSwWxQpS%2F47aH%2F%2FM9fM1KnRXGmHYrtO4aSg%2FzNodi%2Fozhd%2B6xOm6dzn4u%2BB%2Bh7kL630vcEvpfhbMudLXfGjWCg9SuBfiXYr7T2K4l%2BxdrPPG%2B12V2BYGsirf8jsyxwyOGccDCdVmYFCaPRGtOncySOBC64kaw6gWcSmvoBVxSSMAgsDghfJ%2FiCocHEverL9yZWPnb5BSnL7p89n9h0FyVqRg7PcDpIW9LXnYlN82TIxs7U7JvT9mBQSJx67hfHyS3uPLriLunc86%2Bd7mxT3%2Brb4X78Eo2imXXNK5uCY4%2Ff7UxmkzP9s9gbp93Td9csb1ubrXfT2efR%2FghfBeHopvqGG3PRk9StkQKQBbSkQX2WxCaSj1%2FalDA4Ek3S2DbvdO%2FYtv8iL5AX1Mcx4DNnzvwWviVmaDl6qMj%2BfKy7iIIMu4PU8rUkKnfbYVZj8ihyc0dGSVA568OOOGUfzZL0%2Bc2d5YSvVqNa6gRO9yVguofCaJOZw7DpS1CnfL63r4DeB%2BqPChP0FaQSIvUZZEhcMGKfhYJoMCaLPifZtH7rerLJ6fOL6gPFoOfMN870BIvqA6KfGNu9PQ4yl6waXr9%2BWH1a%2FUdHj7fda7f9Tf3bab5ZXtG8bJlZ9M7ynUaEv9lwNa7le5sndWEowGpSzzllVjHr6tH3PJaZabkwmAUEhj5G3huz0j%2FltuYLObqfXxKSdmHi5C4pVPzYfzT2xL5fuzAkHVtUS2GH9ebv2tL89JzhGv4ZxsK4QJc%2BieppfhpZ9NCkGxNtL8Flx40zQmsRfLDUW8V9gt1N6yhcYKU5cBCHCPZ6QC8pcBmY%2BlFSkLV9WCDX%2FwUXvYfG9qpPEu66Hc%2BpT7KP7bjuITz4l0qFXf8yelBfQpXtup37x%2B7beb12oNFf5gZdUqsBdoEhmZvoZZoYHiNiPJasZYuNPaX%2BpIjZ9JgQpuXPIzcPMFqeFR3%2FBHBzN7OBKUfw983VspmWapgxj0%2FKYg5MRw7N%2Bk6gRpr6UpPYFAMbcXCukpvQDGEZSx5LGeByDlVckDxusRSOALlkTI7TekJJXhAgoKgPG1O9WLzgdRhAlNfaMYGNahTXpPKJgfaIaAUbG%2Fb9qaXnfuU7Xzl3acpvxPZMpItdXzlyWcvpAavV2xxv60r7RdORSsfKbRdetiKXW3HZhdtWkrVaIi9W%2BWG%2Fod8y3%2BQ%2Fw72BWhMno6Ms%2FDuygWz87dg%2Fkd2%2FQ3fZ79jZSOt5zOv8D3mmVhtvJvPYOezIb9WH1D1caOwFdvbv0Amn1dPNYIqGLaDjm2AetTGoU%2BtOGIGq1uiB4QVNRdc2HLiE0QpIGTQoeKFjXXyZdJKuH5Cbf3HsTXLvL8gNuN9ZYQ%2BQJvUPtBUR1rVtVv9AmlCdBxjdMGZPwJhlAdpyDMcrkFO6gPYuJallB2Pwha8im6BsAhWpFbMXMWWxWYtegLJUkpsBpG46KskC8A7oHOj7RM8n52A7CV1R6QjRzzgur3hZNJZMuQ1OR4C7KWloEs%2FEydj3CmsKuyOhjpB6EN6yNI1GnjZ2W0u3gXvS7%2FY8LEpw%2FNhM3u6jszervYe9UqjS4WMacoOxjsPZmAHHozau2LMUl3pFInZdIfmczvRRCQulK3rB62EsXuVu0Qpatd%2FW8n%2Fxt10wVvXfdtL8QYP222IGGbnBPsuRKBgW4%2FeIEmy1pB5suNMxP9aW1aYWOhoISQOPbacyNapVs9HOTtQzhz2cNLccb6YaH8lpTJCDr738MukgHS%2B%2FrB5CDteSyXX%2Bhf8ZsCe3w2820%2BoitEctGdoSajydjIZroihxotL4T8An%2FVH1Fy%2B91JADpgCVtfqChVqGuRKsYmeFEC1RMlDu8VZpWVZTzXcXoVZQOUKbqUWwmRpWaJkjoj69J6f8NBEtc1f2YNAIhGG8JpOO%2BdsHIk8ZWr3sHk%2FC8JR6V1FLtKdDBm9kDfs7X6pbHmul3iy6ru%2FWc3WtIKsKYPXQsmsGC4IVo6vUAbBladl0qcOIfs8gJTAHTDuTSGlezg9yw4YBkhATcY%2FPAfyMHv4US9vZ6HIzljw3GwjwjljQ9wphWd4g8BX2kbEzkhnWYnMauFXeEF%2Fg3g5JyLzYMCDrz9rtR1hB8kXXHAF92sILnIElR449U1HftVlJs0ROVn%2FLraS%2B%2FmdoXgvLLAL6nwf074R1Nq9XEeVoRmskhzLVny2305zq9gTWxfVmtNZD7TnAqqtHi%2BH3DZCCB%2ByCVJIGLASjFEYbuu4ABVTQkDOE0fA0xhY1ed1XzXRet8ptdHvP9ML7quucM7eI3qag2xQuXvjQ8hv%2BMmOGO0get02fN9067SJyphR6msxfus3b4glKnlbiuXGp%2Bq2nAfM2gbOGJHe71yu0%2F1vP0FCPEflTAp3oQf5B1Ldoqyn8S6G3uyCgwzslC7L0x2Vvdu%2Fe3f3msj%2Ft3%2F%2Bn2vYf95EX6Mc%2BevrBrt8s%2B%2BP%2B%2FX9c9puuB7U1uqjXRcSYNKx%2FNK7cdghj5lio4msD1vPWqhaId4BgRAwsbS3xpZ7v4mRBRxFnkpwkRCUunsLgZXFoq%2FNIOvF%2BaCilfrN5KJVtmubYcLe3uKsIhvOLRw7djm2ZPlxc7CfrI53FrpO3CLu6Tm5rfvlfggn1DnL1qwef%2Fc0N6h3FxtqwJTqcm5lyM45qgnp7mRw2A4BVU8CSZ2x2YanHx2G4Yf3kaU2GEtfam2gVu9grQNSwTMZFd9nU1oUucK1et92tdMKqkkYR3kE9STmxIPYOEOQG2aNPwHr6WIZNFiIwBVPRPBcX4jDTPgn3Ioq0sb03kFEggLp3MgEOvgrIk6vpvIT1r2iQ%2BDUU95OYaxl0pbbSFiXtNEPbi2iXe2idfA8t9Rw5Lu7dWnJtN82o7R4E6YJFct2A%2FH6b2OSdSY3CplZAOQ4UEBV%2Ff8nbA5SRB0%2Bi3uWCSIkA0z0BMzpCaElWtLaiEdoqQY566DJHk7ijHSzmv%2BTB8k0ZTJVis8NBLnRYRdvFDusakl6z6eLVm7YLTU71SeExsAESnzU2OX%2FgcrtdaoFYeTMn8DxrsHxxrfo07eC1mLWLCYv5LaNts8Prdly7ZHSZ%2BrQv9XDTKWSV1BaWvCFCWM7A2UwO%2B%2FOr3tVl2rnAN2uZMI2hXEs7omiZorBeT8f6CmVGtjydioPp%2FUi7IbqUYC0CbYIQ6dJqEZBxgNBeF0pAZVALsCQjWFJoa%2BbbKe1CrTThQomICtNf4qZj5Uiqi9KOBSFo0EiBJcCGMFvLYkpx8VgqhzI8WhATAha6CQ5DB0ElMyeeexESyuq42O6yOsjFgjf6lEl90tVk3L5pteUNZ5PxsySxSf36urstBmIAgpl5K1FbuT9W2NmjS8i1Lpdkv8xmfIu3p8SxD%2Bxfa5PIqmK7V336FPLf7636ptVpNXMYaSGqDSmszbWNqLMaHGCx9DEzwEIpF3CuTYc5NZBRpENKAfuZldslKkJnAHlycMCFein280O%2FSzsGWdx9%2Ff0lR4bmdTFY4RNma%2FHvVCKP6VCSmEoancSITVAKw4ZBrA7ow0nlkw2iEMUaso0UdNZuf7hNUp9eNrrkWmfCsdl32qrnfQEN8mwWkTpFNZvY9eyP1fuMnshjAlmLpLlw9SWb1qg%2FW20j9kt81rX3uO11GpEKutK%2Bj4RUXwe7paLHMFjGwr1n8MO63QscM5dR8loPmH6apJ7PKp3VcictwemcDphHs1h8mtKy0mcA5p0YB7SBSl5ypgBzO1X%2FjBEwOWeCrJCw1mSIJLQmkZgF4CScJyqLBgc1SZN5cRBWlVTSSVCTZ12%2Bzfak81qydHQZWeVtf9g%2B9iHMAMuX3yV%2FPUV9ytuWzXKC0e%2F75j2A%2BsKI7xI7sa7JVdOrL7pk9YU4mcha4bFmh1PdDqOuvr7d2Oz8vs%2Ft9pGKVXCZOLv7HvYyijiL%2BjjMkycZB6w0M3R9xUX1Nz2%2FjKbvac1DXTZ0yLq1Hn2Mh1aEl0ze%2FnpNuB42YEEFF8xEMpy159fXPVwPlb27hyRYUJ%2FIPeol7Jrrfr3nrD3qu3oA1EMsr7xIkqTjJV1ffRJgcsGqN123zGAK%2BjSYtGwGi5bKUPJi7yU35nWVLYzYr1Wpo0tLpBBhV0kKErqzC9E8QHRt450r5B4EST2oAUQB1gB6VH39xVdemkKjYZ1GYp06Wvadezz7TkRj1ubsp1aaQcIsPHfJ6tW6zk6gU4J2rSBT6QTraKUGUwORHkXLi4xOhmmpDpO3cdC0vMUGsKQJYLl0sESaHGjDdZBx9U8dyoSZ9qM4Doi0irNyHBg3oyWp6dd8HU4XczvzJebLzFZ9PDuqyvKM8oUMUXZTcDURu17rTvIg5oAx2sCuF2c5HAZPNN46uGjNNbfcese96BuwuGdZ7LHktIFTz9%2FywJepEF7eIbqf903rG5y3YM06vOYL4iyzhfGuv%2BjWHTvvpW5Oz0Se8Bh9gtcnZNE1LIfZgg9dcF4HQaHEFmA6wn%2FsCGwEZRCjqX1pgtuFvkKYlcMkAko5nCkMc4VkAUPlhTSX6kvhjIcrU8aUAyYptocV4D4OnPwFXxbevD4pzRVylKTXUuJpJP2bqckYIzaf3%2BRf7RvuD5nSXEe3kRg%2Bc1U4Fuccabtjnmgeakm7si6eGNt51hQIyh6P1egytjUZbW0Oh4fnE7zBIvh9Rpcp4pbNlvb4TJvVHOmzWYXMSqfH7ewMDpucQ05pmOM8hOshHBfkLKLVLcTMXc2tD5Mp84CcEr262TwvYPXwtrApE%2Bbdi7zzzUaPxcZdEWodjpiJILishLVa4zKbYe0mzpd0hwKh5rDLSIhg8STMJm6hJHdaHB3egNnt4cxWOSW1CCmDnTPwrXGfjeNsbqOFALWElNMqC7HLLrO1ChabyPvXENbI286qxclY%2Fln%2BVsbLMIOkQID0fbJBLoCSniLGWIY42fXRZRv%2BYac6dvdR%2Bz9cv33sKWen89K7Ol3sunNf6Tv93Dvf3vbs6fMyY0%2B5XJcwtAfiBuDNp%2FS8cM03t4LBfgO9VaVArePmDPaVAkMfphPol9OruBQmqjT%2Bkz9U6ukf72lZzlPrLY%2FWG3ZGxJjQ%2F6Jag2CzKdpwaqJRd6JtsEIPqzatdrpS%2BZdxQ%2B9bx9tUH0BHIHugON7fAW0ArNjS6rX0kKrWMVmzq5kSY9INd1ycDKCfCGKRe%2FvYIu4W9eEKv6SIBd7qQWwAwzTaFminJ5gN1INDaFVrKIeagj%2BG1e1aBWgyozgPKTHaddAZQwKCagJg0Ebeca0nIRaGxWlhGHYhZLO47jIlB6y4SkRzD0qNHVPrJR7Ua0fd0rQzbI12pGugvdI%2BgH4GIBz9Rw1jMto%2BoBEKSzppHTozwa7HuKgXtKNaZp47h1F2jKpr4VbMTCA0Fwk9lNgfhStgEFW4ubKzglFX7YN9Td%2BrYEi1gi84wLXQj2MPaCfZt7RrGL1X515%2BL813iYCNPsIsYX6md2x3VtFTviinBKrK3CyWBffTvgS92XIbpVnbSebOWvudpQ0pAbAk6IXrUWsndtpIaqb%2BcFUZdtG4yYLqvsKC2aZOpYdaGwXaB0%2FPfliGSjD2FbA4aFuN0jBI31L3IOg%2FBTAdnjM7PXxGyzoKaz25bKLWG2dfR%2FfgMG62aUk4SlwsZQZw4fGT43X58ekd7%2BKxPupPwC0ZbBGWes20%2FZSghakSWkEA2Ogn6gt0cSTd0iL7lsKrpcUnr2yPXEfM2o7DCXbOghwJt6QjcKqFlE%2FQPug27fzvu6It6ZZvt%2FQYthGHw4c7lrt9odZcbqWvBW9D%2FaO%2FZAb4bwPvLAftCvMdUlW04kCa9MGoVbFXBPZvYEopzDmY2a%2B0iPutzmBTD1JIcpeyOWpEGGG5yWVxVeorEIy3pjCALBDgN71%2FvYCNJeGwfgk26AnDwgNqZoTgN1C5jMdAwpKm4LT4lnkzp0dntafaRHJn3O9sOtVrTp8UV68X5pJrvR65Kel0tY79undh4VSzwTmtNen3ktN7hzb1BeSztpiE046NCXNZw%2Bzpouu85XNXbTq1bb7KkEP%2FtKx%2FVrOrp6OzC3%2F17Mw6kY3G1SuF2eQqn0tuTeEvjsyMD89qbZXw9wp5Xtx99rmn%2Fe0jRhgkH83ef8a6z7VGC374Mc23uILp47%2FHr4cZl2eGGJTC3dSPI2QJkg%2B0Bq2bWIemNWCzjI5mbH0uOLV8HC4HRDVofh0gCHVHYZ0CdlRMsylYhb24jPtkMG2HWbRcY05KJ%2BOKl2656%2Bzz77r5xfi62fNf2iC6Oi%2BfNzJ%2F9rr4E0PDs3xnbFx5mW3W7OEN%2FYtmbLk8t2DwHM712Zduvvmlz6ZPvWj%2BvH%2F%2BrCzPuHneSfPmX3RqumntScO%2BUy89%2FVLb8Lz1zfM3rnrymRXnaPj1f%2FQBfzX%2FT4wf1h7G4wVAYIwJbXqfErADPoyzYKQnQKgQkC7wCSZEL80fgBHvH9kx57QzRkjTyMgOk%2FWCg%2Br1fz3LnQ4VRg6O7BBsFxwkt8J%2BJhyKF0Z2jJxx1iz1DyNk41mzdo7gV749ssNswu%2F8z1nu7umFEcKfAd%2By0G9tEHtyofiFnXBkZET9wyxNrlf03oHYQSWEefA00hqgVrWbemSMWtcXGBnYd2tVGLSDBhU1Gdr%2BpckNyqbR4NMew1AQtZSOmlVciIpRt16ZXxk878EnvlycoYVWimio%2FsvQ2qGhtUXuW1I2HQ6ns9Kx%2BSCx%2F8IeOPYanhia0EvdP54VE8hgozEU0wTjR6lkb6EvKxOfV0DFgYCMJpkf%2FwxUWmvc6XR0OEgT%2FWhV%2F3jwJ2TrTw4SuRV2nU71LSd%2BxNX%2FUg%2F%2B7McMR1KMG%2BzK3zA9wKGzmfsZrGPsoPWNw9lyN089LuhJGKBOSHe17B7AY24Puhzm0AY5sNZlq7hAZl2lLtJZ5t0zMBUQDE5vZJhuuUqzgJAgOpqx5r6pWpqLTY4wu4jtV7pExYyBkG7Ybe9XBsRvMI6m1Awa61fcmDGI3nDQccU0iaf5fK%2BeKcjLcRAKooyV%2BEbMF8Sid483zAGXiQ7ioU1fSerzhnWLjB42PbIsE12%2FfXkxOXflYCf3kKlv0azY4IpCW3l38Utr2gJ7XWKHt1nghxb%2B6Yn1K0lp6TlOspwYHYFM%2F%2FrC6bfNFpYt5z1dMy8YWbDYrlYdgqdr8Nzhzz9hXbpMXNe2iQ2HuvySUQCz3m0aGOt03zprfkCPCZ%2FH3cs%2FDbTdweAqBHYDqChhGk1spo3srNWyhz4QxOPQaSocUvppD%2FrWbNlPux%2F6w%2BbOskD9XwKjVZQ7Na8FUtKPjW%2FZ6SOUYk7xOWukpaMnhzsOt9IFtO3owcUNjUtGLHUNaoHlHNILaEmlSryXPkJDAEsfKJ2T4j7YFoZJrg%2FntIx90ZI0QyY1bMAclOJjfq%2FFzGW6Nz528%2FcfmLOiNbHa2x6Vw395ySRJ7TPiZ0vRL0SXDGbbl6c65J9lU2tlf8EoWUSbaJ5ma2XXF3sKwYG1Z7atL1%2Fdu7g5JHX1N6%2FqyBWz20MDfVYHiYW%2FGJC5EZ4P2qx38w6j3SpaCnfNB5kD1jX%2FjK7LRGr9Px0ZxYbNRJAoJSsYg4qp3lQ0LppZfGdpDAXsZf2TRgFpSQUNhxzbyt2C0T1WlxFG%2BgwF7H7xmN4TxpgDIa1tmmhipbdaYnhgbzvNk6eeuXKIRkdDMrZAwz5LOIosbZah5dXhgwYwtc4uwxct%2BiNfLLSisNSE7chdoLIGstl9bpdkopVyHpRN2Gmjlo6nmERYE8DoNdFaSMUuKiIOqGaLR2nPaQz0aI2QOFFrilQAFZJ9uYIxpNEirb45p3gOOruLBFv2ICFo01c8q7U4OowNiiqVCTRx0DrDGLNHyxcsCRbsPER9koCrifpdQHK6qJO3mYpU31QCCICMUwJkgX9FJIDDReNfoRaNKB4gzr6gxWrSNLwMNt5qJICgESAWwWoD3oDVBqVmF5zzYx2mEmigho49N5kqDdRAGhTrJDlnnBoaBdgD41Q5thVLcigPLtF5xA1csqnWvxRNAnRfACEoU5TtDtrGUMSJLWcUEX1R%2Bzwu0UQf7SLQRyV5aB4hdmSyUuzxIR20A85%2BhuWMtEuEA6tdDTydt7o%2FgyLGYXBDREtL527kZRgzbUxrDA4aOiDCvQ1GDj4oosJ8HA4Chd6NmJTdtL%2B2G9t7YLFYleJgRd%2FVPg8dHTvFU6A4WDQcRMrCFAfPRBx8k3FIUOg1Bk014kBbEBfPacShSIHHP8qVuERSvtTtGgtwJmKxktERsNZqRFz6VKWwOw%2BVBasHlyRgUmw7Sbva%2BixmfAfpq8FtNaE45YxaFUuN4LQvWO2Vk2rihNaD0da2mLrYQHTatrv%2B%2Bt%2FBawV4nRReEDAgfCx0nbC4EV6L7xPgzUlcA8x1eCsakHoz3hODW%2B%2F5qNWdd4zX7jZPLY2W6wXRzNSC7Mn1Y1jQ%2BPD77z2CRYwVraRRq1zU6hi1E%2B%2BcVCt3HGivxdFqsMTQizkJmvhUaFBkyCAWaKklU2r24GbseCXjkyH0dJP3H0ZYsNLykfcmAFkhS9V9COkj72l1mI2QqrYjR8bjfv9reGPj8Eb%2FHnjlJiznrUM0Ad7ikSMatO8%2FPBnaIiCy9P932kY5hLU2zhNhJYePaEyAiACPzGwg7WaAlfKkwUvrC4PMIFNfjqnbBysH3FqnY1AHZNrVGESpQI2oWvaGIooKp%2BXYY0KEJ18HLl%2BDWnvUW6UGFxlFeBCuivqw%2BjA%2BBmxCIS7V814DQXeI%2FyoTxYwfh%2BYbgiWxmUakMRnC16wlQ5Q86PF34kwFwoAtF0HLuI%2FJ9YHhZuhzF%2FoyoImBrsUIxtdMMknvNhjMZrPDZmWdxGE2yerPyZdZVjCbnRb%2BgPrhYhcreNRFXslqctrZCzyiSHjyrM1pM7uMP1d%2FutZTn8uUbn4Y45lMmdPpZsKabCw1CtK8DhCL3vrUtmoTuhTk9MxExSUqzVrnURjSQj6KhZDUY4VZn7R5BKUpjm8mr9Uik8OOyhlnPPoOrkxU6AAxnd%2FS6PctXmDZd2hQQKNsQ01AiGllVutwOumiGgTAEg22mVXz5CRR5QOT7Dl%2FIBxpaUWtF%2FSDOFYtYzWLyRyOxenRoEi9bfUi65Sge920gt9CCvMVE7RqQJ9Ny66rVVQ%2FuGVR8dF3yJ%2FJxvvI4fvUJzSWOHvh9ffWGPS6Ze88aiZr71Nt96kPTaltObVWj9NEH9Lhaaxw0apysKUEWKKBuoeq9iC053mzxeF0e7RKRrkJjhCjYLO7ROaENTqs3ljiRFU68uV7Lr98z4mLdNx4%2BvIGOYa%2BUBfofmm9C7eod3CgD3mUaBGfCfQF%2BnQ6NzqQfbpPsSYLzCxt7Q%2BrvMPK%2B62uY37yAnkRMxmxWyY2l3Va1Pe4FuxGjGwytiXLHOf%2BnZPu%2F%2FfdXEshNE%2B4excWqauzyZnjd2cP0PDU4aNvTbj3jXBv7LtZw11boQ1aY0rQ6GxZvL1Iby%2Fi7aUpuIMZOuHmPezqL6vzdrG3Ntz8u%2BqP2dW71Xn3j83I1p%2FfhXijz9Zfx1yqYgDRoPUi91HMffTWPrx1cDLmciHFJTxYWdoIwMaDGzez3%2BKO3HfwPvKjBvL%2F29mvbjz2JmH%2F8T%2FhjGo%2FHhzpE8Dhyf4doHhkQS7I1gZQth48%2B1UO7%2FY3ck4DMYoHNx4k7wB8977HfuvoH7OaDJPxmRz8s6BJmbDOg6e2n5lWPhmr2HFOK6rHmh8zkfkH1IT6%2FeXsnrEN5CHOdfQV4lKvJnuq3BNj02sysUhxwyrMpQyuHkYYSCMdSHzmhiNbNor0gRI87Jmytef%2FgfwxUhHkpO4hWkrnNIrustkna14hTaTgcwhkWjGOOm4siXiHpCPA8ZWwd9fYnF2YKVYs7uLe9oapEDz2DBboq5tD3PkVyn%2FDtP%2Beh%2BbjzWJQPwQInRRCJxgVZaNzAnjh2kJtpJ2KmZIRRGDZKvv1xvh1oCSQfhSkRAHLo7hxwNR3r9mmfg4hm3v9NWTj9WriN40Qvq6%2Bd82NAGAJTm64Xm3lnqjU5orR4KCwykycPiuxtQGYRENnBY0qQorUaeJpKIvUwTj%2FCfWQ%2BrxOoOITT9xY%2Bz8OivohvYgS6%2Bir9ORNX8f3Cb1J3ZR2F9E1GWjnoLRzoEljdKHKHcRy5BJvytbJ5wQKM%2BOBHLpAOl3Iz9j9x5alTsAgtijxYGk5rOYlJLB2yDKRzvhATkpmTSnnaFa7RufNqo2ip4WhKw00BjsCsHqSCiPaPrhSYY6D02nHwel42EyAvxF4JSRinkcJi0LKVlsA%2FUOwSE5GQR8oLdZvJuMoVID6l1AcaLRfPdiIwyUVOjY6Fvj01BoOFZoPZ6acMrl2QNMQwVzR%2BrcdXcErev86MnqE5g4ni7RrxZib%2FiDGls6D33tGt6m0ztg3Y6Si5AvmsL1JSW6mD4ssWZ05fFxkyebSqSPUWuhaqSsNvRA%2BugpTIlktaFUZNOPVh40NeM7p0mNAbq8kah0btZJPUDlKxAv0MyFhtXRb%2BKNuB%2FqiehHuDmDWv6Zf0h7Ro3rTaLoJBtrL7LdpRA%2Fzcg%2B9TON79V72tbrsGVpdNi29ZmpOFdmKS9M%2Bs0s2Yf9njNWYqcZusVJHYY8mHkX9ycvam1DvZ5HwYrXOeA957UmwxWxW%2F08bhtBGgVYL3W4Nqu8GEuwB2h4ba2Bq75t%2FoJ5Ee2D8czGUj%2FqNBvUK2o9vZcQjXinOjTT2Nl7C5DBDhkYjbTklVy2zVgfau22Zsr85gZXmKXxWwniyaxsmuxpbaFPjaB4hp8%2F2kbAHLZenSX7APjRwiksPboc51OqdBCi8OEAOBxaTUZrJmw0E1M2LA6otsFjdXDsy3ZYkd6pbkrbp04nBLDm4a3wBwk6Hw%2BoWcmf98LHb8bAe29RsJz%2FTzLSAnZxmskzZr2sKvgz1mdNSH7cX3UCZjNb4yO2iLBVoplqcOMVKKuQS2K%2B5bsNHZSkB6KSiJJ%2BQtCxz0E4PotE0WrkAdJl1RfWOYq24AQswUxfQY6hQaVdrBs3YnMrZ6qFi3dwfrZx9dqU4Nu%2BRWx%2BBcXExLv4h%2FiF8RrA7zMlhLjeT9GHBJxAwTVKFYYLpw07iIpHhe847%2F6f3Xx%2BJPCIKnu94el1bdh47d4todHze0e1%2BmPt95x13HTzv%2FHuGouRhd9pxu4MXt5x7bOcWscf7oscoPjwxtx%2FXt4zeXwmf45qheXsnZUoj9AEvTWhfZmCCtYn7ku3ZWZRomJpQIPneYS6LzCvp9VE0K8Hrm0mGyRDpa5ElL3aIBo0%2FzcdjDt5JJAe5mPUlV25emfQRQi52SChkvOGQ9%2Fve0A4yvINuGIPFra9vO%2F2xq4ozu8zm7EFvzkEyWd7eEpC8Tc0WS1b9qSPnxXZ47JNSgI%2FyMekev%2F8eKQabAaliCpzU0y5F29qiVkt9%2FmIecKAefycTO%2FdGpUQ0hT1dJa2LPX2JMn16x0fcN26gj%2BPQus5Xdh2hT6TGf%2Brmou5zqN3DTDvatOoRdm%2BOSjvLIepN1vpUaQuB9gSReuO%2FWoubXH2riKkGtEKIfhT1Hc0cr6VwsAc0rqImJj5LSu%2Bph70UsGpsge5PcNXtnq4Gf4Ko%2BRPw%2BX2iiz4DoCXe1qF1I6D7wZZkW7tW5DmpjR6G2jzoPMxpXf0NOXQogjqBfeiVrewBrLccm7NVoZ2TKMNjLyqgm%2F6UM3IYr1Bt8I7VGns1IUa930XNoff%2FEk6BT4cTXTI0NiAfj5P%2BoIETYlShDj%2F69II6RvwEfJpAW5szBZvWqdgkdGz2eaXmUB2Xfd5gc%2BxjRgcYGEaH6J8nHBXqXKlo5tdEDCjkFH4qKibA7oO5NBX24FTYm8Zhl%2F3jsEs%2Bvc%2FFcWE3iJ5uclyIdSk7EVT14V14eNeuqTwjU645dRxSL40LxbPYojFBH%2FWjw97WALu3nvGPtVnRKrYubyW15zbomGnPATou%2FPTp0xiH7iQ8LuugxB0HG6Tx9va%2B%2FuR24ulr3749eZxpgXGQ1dvXrt2%2BGltmTZ4PcVrvOnkUOqaOQmfDHI%2B2pibMh1iy7e%2Bd43Ea24l%2F3Ay%2Fu4jRg8rHznD0fzPGCbhoVU8pZskUbNqmYtOuY%2FO8Vwo2hyOxRB2f573%2BYFO4pTX58RjFsdZV%2FgR8iufixD4BMqM0%2F7uODOrDE%2FAJ0fy1Tmb3OD7hTCnWDlpVhLIfNReQG5OUCVPZ40mzMBYQZHUG1MoE9wXkZhOtCwvi88aQH2P1fu%2BYzdJeVdpdNCkrgxn24wKRKTVhURho0V6s0zg%2BeWQYaz1OBySK0kgGhoqOS6Jziuf8K52TlSnyr0LHGhdIKiRpCGly35kQ1lZovrkQ9YIGaMhSp0N40mMdEeO6h46aUl7gX4vDw9GH%2FSmi%2BJzZybvlJsoMwRBWWdhdjFd%2FrJrUr%2Fjc%2B4w2kZy4vU6%2BEKW2Q%2FREzrvQuJJ34qc70gVBy%2F3j%2Bb06ri2gE%2BypYRvNgGaAiYtNmQYBlJiEcAucz5ZbaIlOSxgszBYXOoWVQBarUeQsPtdUHHfEtnhpSh11VmKTLh8%2BWHaf2enmKUFiUZ0gYf05yrI%2Fglan1ECUxiy6OlGAJ6hChM%2FuwdXxBKQJ4PxGnah4YtJ8GQ0W7R%2FW6n7w0YP8i%2FxJ9NkKl9MMN%2BpdVuyYqWLSqryjDWYWNtLVah4FzfkTw8A0PmtFkrFffymMqqobDJSSFZ9m4IxgfAQfdLqPsWhPXbaL%2B6xOSXsyIEclM4g2FNTxmECzMCSv7CBEi2A7Llv%2BBhm96Zonnrgm3dX13CVf%2BiU7sobMoBY3eX%2FF5cgHT3%2FwlGPj1b94IGBzbFLv0x8H2YAb%2BvzDDHXrhw%2Bh7kcbF4cBZjFo0BxWFA4zweSsiWBoyRMAhYl8lXzxzGsngqE5LygcX1UvDn6leM3TUyDBNYPouboXg33BAIMLoOhGSY5g01CSQ8OMnAlmmfrBE%2FgfvoSfld3d3bup92Cpuq9W73ot%2FE6B3w1rDuPx%2BmSsTMllCyL8oKg3eaI4pHQMfBJmw13bn%2BEvWDS9C%2B%2BS7lt0gTk7cP0pwS%2BeeeUjrMO86AL2QH695PItuiCs%2Fqi7m2TDFyzyR1rOGzr1s8ZTLnvkSt7Jsxcw%2Fw8un4kSeNpjYGRgYGBkcFz6%2F1NPPL%2FNVwZ5lg1AEYbzPJx6MPq%2F1f85rHdZJYBcDgYmkCgAaDML2XjaY2BkYGCV%2BN8CJq3%2BXWa9ywAUQQHzAYk7Bkt42mPcwaDBsoGBAQmnwNhMPQwMrBIImnETELsxMDDchOLFQD4LkPaA0CA5qP4TjF9A7P%2BfIGb9%2Fww1kw%2BIxSFq%2Fu%2BAYBS7YVgWiLOgasURehikoDQjlGYBmjEHqocRwgezWdD0ofgLB4aZeQJJzBQh9n8rkFbErvf%2FbKh%2BmNgUKL8Ui3qY%2BR1Q9glUOxl1oHbuBLIFgDQzDgzzJwuSv0H4DBBnIPGVoOEA4%2BcD3XsYiudjCRdQ3DwC0m5A2gpICyHCh1EPzc9eQCyKpJcDKp4IxExAzAoVZ0XCDCxHIPYwgMH%2FGwwBDJYMJ4DpRx0oxoQCEeAmmGRBEhFnQAUpYBMFIKz%2Fc1AhSOf%2FT%2F8%2FAeUqAVIarnx42mNgYNCCwjSGJfggowGjB2MAYwvjKsZzjP%2BYzJhmMJ1hesesw%2BzD%2FIWliDWFjY9Nic2F7RG7D%2FsG9hccUzgNOBM4p3BxcblwdXC94w7jnsD9jMeOZwOvDG8Z7yo%2BK74Evi6%2BO%2Fw3BHwEOgSuCfIJqglOERIRShC6JSwm3CfCI5IksktUTXSSWJLYLXEf8TbxFxIWEk0S%2ByR1JGdI%2FpHykqqR2iZ1TeqJtIi0gbSfdJv0NukH0l9k%2BGSiZJbIvJM1kj0kJyDXJfdG3k1%2BgfwB%2BUcKbApaCm4KeQoTFD4pZikeUXJSOqFcp7xORURlksozVRHVDtU5qptU36lFqXWo7VN7oc6nnqV%2BTsNCI0Vjh6aZ5hWtPK032hnam7R%2F6bjozNDdp%2FtML01vkt4vfSsDCYNthmqGdYaXjDiMdhgnGE8wkTJZZMpimma6z0zMLMZsizmXeYL5GvM%2FFgEWWywlLCMsp1lesZKwirNqs7pmrWNdYn3PxsEmw%2BaOrYvtCjsBOw%2B7PXbv7A3sZzkwOSQ4bHFUcuxw%2FODU5PTDucP5m4uNS4LLPABRwojtAAABAAAA2wCbABEAAAAAAAIAAQACABYAAAEAAQEAAAAAeNqtUs1OwkAYnBY0Eo0aSTj34MGLDSAiwsl4EP%2BJRtGjVCiVQomtVBKfwmfw4sWDR59A38On8GCcXRYkyMEYaXZ39ut8s7NTAMzhBRrEL44FzhFo0RjXK%2B56WMMS7hTWMYsHhSPYw7PCUeTwqfAEbrWswpPIak8KTyGhvSscI%2F5QeBqL%2BrzCM8QZhePEZwq%2FIqH3Pbwhqd%2BHYWjabrdddyyv5ZuW18QmPLTRxTUc2KgjgIFHjjSSSGGFqMK3BnZwgRbXXfI7xILfgMnKBlw%2BxpCCL3dVrlWuHc6XZG7x5ucooYhtnnqIAxyTV6SWixqHQ32bPUfk27hhRZySYmdSeinghKeX2VcYq%2FVTaXlE67cOjJG%2BU3kPn%2B89mcGwp5LU6O2%2Bq3UyA1iS3xl0mFjjXECTqg1qCk6NVXFyhYmbWJUjx9zTWP%2FjLcd%2FqfHVUD4mu11%2B5TZ9O8q1z6pAzX%2FjlOmyQueiGgwy2VeZ9v2lmZHIM4e8zDLPLDKD%2F2PmC43JiIUAAHjabdVV15RlAEbh2YBggd3drXO%2F89bYCPPZ3d0CioAoKnZ3d3d3YXd3x4E%2Fwp%2Bg%2BM32zPfkXjNrZj%2FPwTVrOmM6o8%2FfCzpF5%2F%2BePzsdxjC2M7YzsTOJcSzCeCawKIuxOEuwJBOZxFIszTIs2%2FmL5VieFViRlViZVViV1VidNViTtVibdViX9VifDdiQjdiYTdiUzdicLdiSregSCnqUVNQ0tPTZmm3Ylu3Ynh3YkcnsxBSmMmCEndmFXdmN3dmDPdmLvdmHfdmP%2FTmAAzmIgzmEQzmMwzmCIzmKozmGYzmO4zmBEzmJaUxnBidzCjM5lVnMZg6nMZfTOYN5nMlZnM18zuFczuN8LuBCLuJiLuFSLuNyruBKruJqruFaruN6buBGbuJmbuFWbuN27uBO7uJu7uFe7uN%2BHuBBHuJhHuFRHuNxnuBJnuJpnuFZnuN5XuBFXuJlXuFVXmMBr%2FMGb%2FIWb%2FMO7%2FIe7%2FMBH%2FIRH%2FMJn%2FIZn%2FMFX%2FIVX%2FMN3%2FId3%2FMDP%2FITP%2FMLv%2FIbv%2FPH%2BGkz58%2BZngnzZs3odrtThzu5%2B%2B8WC99w4xZuzy3dyq3dxm3dvjt5uMXIcKuRcYN5c2ePvqhGpoxu7WGNX2q6ox8eeImBlxh4iYGHDzx84OEDDx94%2BKCbrmsndmInpWsv9mIv9mKvsFfYK%2BwV9gp7hb3CXmGvsFfY69nr2evZ69nr2evZ69nr2evZ69kr7ZX2SnulvdJeaa%2B0V9or7ZX2KnuVvcpeZa%2ByV9mr7FX2KnuVvdpebae2U9up7dR2aju1ndpOY6fxXo29xl5jr7HX2GvsNfYae6291l5rr7XX2mvttfZae6291l7fXt9e317fXt9e317fXn%2FYi%2B6j%2B%2Bg%2Bwx%2Ffwq3c2v3ve607vEf0H%2F1H%2F9F%2F9B%2F9R%2F%2FRf%2FQf%2FUf%2F0X%2F0H%2F1H%2F9F%2F9B%2F9R%2F%2FRf%2FQf%2FUf%2F0X%2F0H%2F1H%2F9F%2F9B%2F9R%2F%2FRf%2FQf%2FUf%2F0X%2F0H91H99F9dB%2FdR%2FfRfXQf3Uf30X10H92ntqf%2F6D%2F6j%2F6j%2F%2Bg%2F%2Bo%2F%2Bo%2F%2FoP%2FqP%2FqP%2F6D%2F6j%2F6j%2F%2Bg%2F%2Bo%2F%2Bo%2F%2FoP%2FqP%2FqP%2F6D%2F6j%2F6j%2F%2Bg%2F%2Bo%2F%2Bo%2F%2FoP%2F%2B579vpDzsL%2Fz3%2BAcxdM0C4Af%2BFsAGNAEuwCFBYsQEBjlmxRgYrWCGwEFlLsBRSWCGwgFkdsAYrXFhZsBQrAAAAAVLmWK4AAA%3D%3D%29%20format%28%27woff%27%29%2Curl%28data%3Aapplication%2Fx%2Dfont%2Dtruetype%3Bbase64%2CAAEAAAARAQAABAAQRkZUTWpVwvAAAAEcAAAAHEdERUYBCAAEAAABOAAAACBPUy8yZ6dLhAAAAVgAAABgY21hcErwCZoAAAG4AAACcmN2dCAAKAOHAAAELAAAAAhmcGdtU7QvpwAABDQAAAJlZ2FzcAAAABAAAAacAAAACGdseWYeHjMhAAAGpAAAiTxoZWFkAmJY%2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sCwzsATNsCQysB0vsDwzsBTNsDQyAbBAL7AA1rAQMrAJzbAYMrAJELEgASuwMDKwKc2wODKxQQErADAxNRE0NjMhMhYVERQGIyEiJhkBNDYzITIWFREUBiMhIiYBETQ2MyEyFhURFAYjISImGQE0NjMhMhYVERQGIyEiJh0VAZAVHR0V%2FnAVHR0VAZAVHR0V%2FnAVHQJYHRUBkBUdHRX%2BcBUdHRUBkBUdHRX%2BcBUdMgGQFR0dFf5wFR0dAm0BkBUdHRX%2BcBUdHf29AZAVHR0V%2FnAVHR0CbQGQFR0dFf5wFR0dAAAJAAAAAARMBEwADwAfAC8APwBPAF8AbwB%2FAI8AdgCyDQAAK7E8bDMzsATNsTRkMjKwHS%2BxTHwzM7AUzbFEdDIysC0vsVyMMzOwJM2xVIQyMgGwkC%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%2BwTDOwHM2wRDKwLS%2BwXDOwJM2wVDIBsGAvsADWsRAgMjKwCc2xFygyMrAJELEwASuxQFAyMrA5zbFIWDIysWEBKwAwMT0BNDY7ATIWHQEUBisBIiYRFBY7ATI2PQE0JisBIgYVPQE0NjsBMhYdARQGKwEiJgE1NDYzITIWHQEUBiMhIiYRNTQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJh0VyBUdHRXIFR0dFcgVHR0VyBUdHRXIFR0dFcgVHQGQHRUCvBUdHRX9RBUdHRUCvBUdHRX9RBUdHRUCvBUdHRX9RBUdMsgVHR0VyBUdHQGlFR0dFcgVHR0VyMgVHR0VyBUdHfz1yBUdHRXIFR0dAaXIFR0dFcgVHR0BpcgVHR0VyBUdHQAAAAEAHQAiBPIEKgAFAAATCQEnAScdAaMDMtT9oc4Bxv5cAzTU%2FaHPAAABAGoAagRGBEYACwAAEwkBNwkBFwkBBwkBagEa%2FubUARoBGtT%2B5gEa1P7m%2FuYBPgEaARrU%2FuYBGtT%2B5v7m1AEa%2FuYAAAMAF%2F%2FsBMQEmQATABsAJwC3ALIOAAArsBIvsBfNsBwvsCMzsB3NsCEyshwdCiuzQBwmCSuyHRwKK7NAHR8JK7AbL7ADzQGwKC%2BwAdawFc2wFRCxJgErsB4ysCXNsCAysiUmCiuzQCUjCSuyJiUKK7NAJhwJK7AlELEZASuwBc2xKQErsSYVERKyAhYbOTk5sCURsBI5sBkSswMXEBokFzmwBRGwBzkAsRcSERKwEDmxHQ4RErMABRUYJBc5sBsRshQZATk5OTAxEhAAIAAVFAcBFhQPAQYiJwEGIyICEBYgNhAmIAM1MzUzFTMVIxUjNRcBHAGQARxOASwHB20IFAj%2B1HeOyIPCARLBwf7uRmTIZGTIAe0BkAEc%2FuTIjnf%2B1AgUCG0HBwEsTgJs%2FvDCwQESwf5ZyGRkyGRkAAADABf%2F7ATEBJoAEwAbAB8AXQCyDgAAK7ASL7AXzbAbL7ADzQGwIC%2BwAdawFc2wFRCxGQErsAXNsSEBK7EZFREStQMCEBIcHSQXObAFEbAHOQCxEg4RErAJObAXEbAQObAbErUBAAcFHB4kFzkwMRIQACAAFRQHARYUDwEGIicBBiMiAhAWIDYQJiADITUhFwEcAZABHE4BLAcHbQgUCP7Ud47Ig8IBEsHB%2Fu5GAZD%2BcAHuAZABHP7kyI15%2FtUHFgdtCAgBLE4CbP7wwsIBEML%2BWcgAAAIAFwAXBJkEsAAbACsARQCwGC%2BwCs0BsCwvsADWsAfNsgcACiuzQAcDCSuwBxCxDAErsBPNsgwTCiuzQAwQCSuxLQErsQwHERKzFxgcIyQXOQAwMRM0EjcVDgEVFBYgNjU0Jic1FhIVFA4CIi4CARQWOwEyNjURNCYrASIGFRfSp2d8%2BgFi%2Bnxnp9Jbm9Xs1ZtbAd0dFWQVHR0VZBUdAli3ASg%2BpjfIeLH6%2BrF4yDemPv7Yt3bVm1tbm9UBDBUdHRUBkBUdHRUABABkAAEEsASxAAMABwALAA8AMACyBAAAK7EIDDMzAbAQL7AE1rAHzbAHELEIASuwC82wCxCxDAErsA%2FNsREBKwAwMTczESMBETMRMxEzETMRMxFkyMgBLMhkyGTIAQEs%2FtQB9P4MAyD84ASw%2B1AAAAIAGgAbBJYElgBHAFEAYgCwEi%2BwUM2wSy%2BwNs0BsFIvsADWsEjNsEgQsU0BK7AkzbFTASuxSAARErELPTk5sE0Rsw8VMzkkFzmwJBKxGS85OQCxUBIRErEHHTk5sEsRswMhJ0UkFzmwNhKxK0E5OTAxExQfAhYfAQcWFzcXFh8CFjMyPwI2PwEXNjcnNzY%2FAjY1NC8CJi8BNyYnBycmLwImIyIPAgYPAScGBxcHBg8CBgU0NjIWFRQGIiYaBpcCDhgDUC08hQUtMQUmKCIbLyYGLi8FhjgwUAMYDwGYBQWYARAXA1AsPIYFLTAGJigiGy8mBTIsBYU7LlADGQ0ClwYBZ36yfn6yfgJZISkmBjEsBYY7LlEDGg0ClwUFlwINGgNRLD2GBSwxBiYoIhwtJgYzKgWGOi9RAxkOAZgFBZgBDhkDUS86hgUvLgYmMBlYfn5YWX5%2BAAAABwBk%2F%2F8EsAUUABkAIwAnACsALwAzADcAiQCyIQAAK7AkzbIoMDQyMjKwJy%2ByKjI2MzMzsBvNsBcvsATNsQ4sMjKwLy%2BwCc0BsDgvsBrWsCTNsCQQsSUBK7AFMrAozbAsMrIlKAors0AlAAkrsCgQsSkBK7AwzbAwELExASuwLTKwNM2wDTKyNDEKK7NANBMJK7A0ELE1ASuwHc2xOQErADAxEzU0NjMhNTQ2MyEyFh0BITIWHQEUBiMhIiYTESERFAYjISImNzMRIxMzESMRITUhEzMRIxMzESNkDwoBEzspASwpOwETCg8OC%2FvmCw5kA4Q7Kf1EKTtkZGTIZGQBLP7UyGRkyGRkBAEyCg9kKTs7KWQPCjILDg78bgMg%2FOApPDwpArz9RAK8ASxk%2B7QCvP1EArwAAAAAAQABAAEFFQTdAAoALACyCQAAK7AEMwGwCy%2BwCdawCM2wCBCxBQErsATNsQwBK7EFCBESsAE5ADAxEwkBIxEhESERIREBApAChMj%2B1P7U%2FtQCWQKE%2FXz9qAGQ%2FnACWAAAAgBkAAAD6ASwAA4AEQAiALIMAAArAbASL7AB1rAGzbIGAQors0AGCAkrsRMBKwAwMTcRNDYzIREhERQGIyEiJgERAWQOCwHbAZAOC%2FyuCw4CWAEsGQR%2BCw7%2BDP1dCw4OAxIBLP7UAAADAAQABASsBKwACwATABkAggCwCi%2BwD82wFC%2BwF82yFxQKK7NAFxUJK7ATL7AEzQGwGi%2BwAdawDc2wDRCxFAErsBfNshcUCiuzQBcZCSuwFxCxEQErsAfNsRsBK7EUDRESswoDDhMkFzmxERcRErMJBA8SJBc5ALEUDxESswcADRAkFzmxExcRErMGAREMJBc5MDESEBIkIAQSEAIEICQSEBYgNhAmIBMRMxEzFQSgARIBRAESoKD%2B7v68%2Fu4W8wFW8%2FP%2BqkdkyAG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP9%2FgGQ%2FtRkAAAAAAL%2FnAAABRQEsAALAA8ALgCyAAAAK7AHM7AKL7AMzbAPL7ADzbIDDwors0ADAQkrsAUyAbAQL7ERASsAMDEjATMDMwMzASEDIwMTMwMjZAGv0RWiFNABr%2F3mKfIoMeAbqgSw%2FtQBLPtQAZD%2BcAH0ASwAAAAAAgAAAAAETASwAAsADwBKALILAAArsAzNsA8vsAnNsAEyAbAQL7AE1rAHzbIEBwors0AEAAkrsAcQsQ0BK7AKzbERASuxBwQRErECCTk5sA0RsQgMOTkAMDExESEBMxEhETMBIRElMzUjAer%2B3sgBLMj%2B3gHq%2FuGvrwGQASwB9P4M%2FtT%2BcMhkAAMAAQABBK8ErwAPABcAHgBjALINAAArsBPNsBcvsAXNAbAfL7AB1rARzbARELEZASuwHM2wHBCxFQErsAnNsSABK7EZEREStA0EEhcYJBc5sBwRsB45sBUStAwFExYdJBc5ALEXExEStQEICQAaHiQXOTAxEjQ%2BAjIeAhQOAiIuARIQFiA2ECYgAzMRMxEzAwFfoN703qBfX6De9N6gXPIBVPLy%2FqxQlsiW%2BgHe9N6gX1%2Bg3vTeoF9foAIC%2Fqzy8gFU8v5kASz%2B1P7UAAMABAAEBKwErAALABMAGgBhALAKL7APzbATL7AEzQGwGy%2BwAdawDc2wDRCxGQErsBjNsBgQsREBK7AHzbEcASuxGQ0RErQKAw4TFCQXObAYEbAVObARErQJBA8SFiQXOQCxEw8RErUBBgcAFRgkFzkwMRIQEiQgBBIQAgQgJBIQFiA2ECYgAxsBIxEjEQSgARIBRAESoKD%2B7v68%2Fu4W8wFW8%2FP%2Bqk%2F6%2BpbIAbYBRAESoKD%2B7v68%2Fu6goAJf%2Fqrz8wFW8%2F5iASz%2B1P7UASwAAAACAAAAAASwBLAACwATACkAsgkAACuwDM2wEDKwEy%2BwAs0BsBQvsRUBKwCxDAkRErIEAQ45OTkwMTUREyEbARQGIyEiJhMzFyE3MwMhyAMgxwEOC%2FuCCw7IyDIBLDLIYf2iGQHbArz9RP4lCw4OAebIyAH0AAMABAAEBKwErAALABUAGABGALAKL7APzbAUL7AEzQGwGS%2BwAdawDM2wDBCxEQErsAfNsRoBK7ERDBEStQQJCgMWGCQXOQCxFA8RErUBBgcAFhckFzkwMRIQEiQgBBIQAgQgJBMUFiA2NTQmIAYBEQUEoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqrzAToBKQG2AUQBEqCg%2Fu7%2BvP7uoKABtKzy8qyr8%2FP%2BigGRyAABABcAFwSZBLAAHABTALAFL7ANzbARL7AZzQGwHS%2BwAdawD82wDxCxCgErsAnNsR4BK7EKDxEStQUEExQXGSQXObAJEbEVFjk5ALERDREStAEACRQVJBc5sBkRsBc5MDESFB4CMj4CNSMUBiAmEDYzMhcHIREHJiMiDgEXW5vV7NWbW5b6%2Fp76%2BrGIbpIBkJGdxnbVmwLO7NWbW1ub1Xax%2BvoBYvpRkgGQkXpbmwAAAAIAFwAABJkEsAAQACEAegCyEQAAK7AfL7AWzbIWHwors0AWGgkrsA0vsAXNsg0FCiuzQA0ACSsBsCIvsADWsBDNsBAQsRkBK7AazbEjASuxEAARErEREjk5sBkRtwcFCwoTFB8hJBc5sBoSsQkIOTkAsRYfERKwITmwDRGxCRI5ObAFErAHOTAxEzQ%2BAjMyFzcRITcmIyIGFQMRIQcWMzI2NTMUDgIjIicXW5vVdsadkf5wk3CHsfpJAZCTcIex%2BpZbm9V2xp0CWHbVm1t6kf5wk1D6sf2oAZCTUPqxdtWbW3oAAAoAZAAABLAEsAADAAcACwAPABMAFwAbAB8AIwAnAFAAsAgvsBgzsAnNsBoysAwvsBwzsA3NsB0ysBAvsCAzsBHNsCEysBQvsCQzsBXNsCUyAbAoL7AI1rIMEBQyMjKwC82yDhIWMjIysSkBKwAwMTMhESETESERJTUzFSc1MxUnNTMVJzUzFRMhNSE9ASEVJTUhFSU1IRVkBEz7tGQDhPzgZGRkZGRkZGQB9P4MAfT%2BDAH0%2FgwB9ASw%2B7QDhPx8ZGRkyGRkyGRkyGRk%2FahkZGRkyGRkyGRkAAIAAAAABEwEsAAZACMASgCyFwAAK7AgL7AJzQGwJC%2BwBdawGs2yBRoKK7NABQAJK7AaELEbASuwDs2yDhsKK7NADhMJK7ElASsAsSAXERKzBA4FGiQXOTAxNRE0NjsBNTQ2MyEyFh0BMzIWFREUBiMhIiYBITU0JisBIgYVOylkdlIBLFJ2ZCk7Oyn8fCk7AZABLB0VyBUdZAJYKTvIUnZ2Usg7Kf2oKTs7AuWWFR0dFQAAAAIAZAAABEwETAADABUAFwCyAAAAKwGwFi%2BwANawA82xFwErADAxMxEzERM%2BAR4CPgE3EQ4BLgMGB2RkZDyHeHxyamQpKHuEkId0WhQETPu0AZA8MA0hGwVPUQH0UUUKKCgKRVEAAAAAAwAAAAAEsASXACEAMQBBAGcAsi8AACuwPjOwJs2wNjKwDC%2BwHc0BsEIvsADWsAfNsAcQsSIBK7ArzbArELEyASuwO82wOxCxEAErsBfNsUMBK7EyKxESswwLHRwkFzkAsSYvERK0BxATFAMkFzmwDBGxCA85OTAxERQWOwEyNjURND4BIB4BFREUFjsBMjY1ETQuAiIOAhUTETQ2OwEyFhURFAYrASImJRE0NjsBMhYVERQGKwEiJg4LMgsOjeQBBuSNDgsyCw5jo97o3qNjyAwIoAgMDAigCAwCWAwIoAgMDAigCAwBEwsODgsBLH%2FRcnLRf%2F7UCw4OCwEsdN6jY2Oj3nT91QHMCAwMCP40CAwMCAHMCAwMCP40CAwMAAAAAgAAAMgEWAPoAAUAEQAAESEFEQUhATcnNxc3FwcXBycHASwBLP7U%2FtQCsI2NR42NR42NR42NAZDIAyDI%2FquNjUeNjUeNjUeNjQAAAAIAAADIA3AD6AAFAA8AEgABsBAvsA7WsAnNsREBKwAwMREhBREFISU3FhUUByc2NTQBLAEs%2FtT%2B1AK8RW9qQ1YBkMgDIMg5NYevqYU2boqSAAAAAAMAAAC6BGID9wAFAA8AHQA8ALAAL7ABzQGwHi%2BwDtawCc2wCRCxEwErsBrNsR8BK7ETCRESsxAWFx0kFzkAsQEAERKzCQ4TGiQXOTAxGQEhJRElATcWFRQHJzY1NDcXFhUUDwEXNzY1NC8BASwBLP7UAZJFb2pDVl4He3cHUQaOkAYBkQGQyPzgyAHJNYevqoU3boqRzQiXwb2WCEIIsuPmsggADQAAAAAEsASwAAcAEQAVABkAHQAhAC8AMwA%2FAEMARwBLAE8BAQCyAAAAK7EwRDMzsBLNsikxRTIyMrAaL7InK0wzMzOwG82yJS1NMjIysCIvsQIGMzOwI82wCDKwHi%2BxDkgzM7AhzbE0STIyAbBQL7Aa1rEFHjIysB3NsQMfMjKwHRCxMAErsQ0sMjKwM82wNTKwMxCxLgsrsCoysCXNsEAysi4lCiuzQC4iCSuyAQsPMjIysCUQsTcBK7FESDIysDvNsSZKMjKwOxCxTAErsEIysE%2FNsjk9RjIyMrFRASuxMB0RErUUFRgZND8kFzmxNyURErIoKTg5OTkAsSIbERKzExQ4OSQXObAjEbIEOjs5OTmwHhJACQUWGTY3PD1AQyQXOTAxMSERIzUjFSM1MzUhNTM1IxEhExEhEQERIREDNTMVAzM1IwE1IREzFSMVIzUjNTM1AzUzFQMzETMRITUjNTMRIRMRIREDNSEVATUzFRM1MxUB9MhkyGQBkGRk%2FgxkASz%2B1AEsyGRkZGQBLAEsyGTIZGRkZGRkyAEsyMj9qMgBLMgBLP7UZGRkAfRkZGRkZGQBLPu0ASz%2B1AK8ASz%2B1P2oZGQCvGT%2BDGT%2B1GRkZGTI%2FgxkZAPo%2FtT%2B1MhkAfT%2BcAEs%2FtT84GRkA4RkZP1EZGQAAAAACQAAAAAEsASwAAMABwALAA8AEwAXABsAHwAjAHAAsgwAACuyBBQcMzMzsA3NsRUdMjKyDAAAK7AFzQGwJC%2BwCNawC82wCxCxEAErsAwysBPNsA%2FNsBMQsRQLK7AXzbAXELEYCyuwG82wGxCxIAErsCPNsSUBK7EQCxESsQcGOTmxGxcRErEcHTk5ADAxNTMRIxM1IRUnETMRFzUzFScRMxEVNTMVNREzERU1MxUnETMRZGRkASzIZMhkZMhkZMhkyMgD6PtQZGTIA%2Bj8GMhbW8gD6PwYyFtbyAPo%2FBjIW1vIA%2Bj8GAAAAAIAAAAABLAEsAAHABMAKQCyBwAAK7ASL7AEzQGwFC%2BwAdawCc2xFQErALESBxESsgAGCzk5OTAxERM0NjMhCQEAFBcWMjc2NCcmIgcBDwoB2gK8%2Fgz92B0eUx4dHR5THgK8AdsKD%2F1E%2FgwD41QdHh4dVB0eHgAAAAMAAQAABd0EsAAHABMAGQAxALIHAAArsBczsBIvsATNsBQyAbAaL7AB1rAJzbEbASsAsRIHERK0AAYLFhkkFzkwMRsBNDYzIQkBABQXFjI3NjQnJiIHJTMJAScBAQEOCwHaArz%2BDP3XHh1UHR4eHVQdAgtkArz%2BDDIBwgK8AdsLDv1E%2FgwD41QdHh4dVB0eHrD9RP4MMgHCAAAAAAEAZAAABLAEsAAKAD8AsgAAACuwBy%2BwAs0BsAsvsADWsArNsAoQsQUBK7AEzbEMASuxCgARErICBwg5OTkAsQcAERKyAQQFOTk5MDEzETchEQcRIQchEWSvA51k%2FRJkAu4EAa%2F8GGQD6GT8GAAAAAABAMgAAARMBLEACgAAMwkBETQmIyEiBhXIAcIBwh0V%2FOAVHQG8%2FkUEfhQeHhQAAAADAAAAAASwBLAACwAXACcAWQCyJQAAK7AczbAKL7ADzbIKAwors0AKAAkrsAcysgMKCiuzQAMBCSuwBTIBsCgvsADWsAvNsAIysAsQsQgBK7AFMrAHzbEpASuxCAsRErMMDyciJBc5ADAxNREzFyE3MxEjNSEVExchNwMuASMhIgYHAzc%2BATMhMhYfARYGIyEiJshkAlhkyMj84DUoAlA%2BXgIQCv4%2BChACQiYCEwoB9AoTAiYCCwr9qAoLZAK8yMj9RMjIAtl8fAFaCw4OC%2FuBmAoODgqYCg4OAAAABAAAAGQEsARMAB0AJQAtADEAbwCwAy%2BwJc2wKS%2BwLc2wIS%2BwE80BsDIvsADWsB%2FNsh8ACiuzQB8vCSuwHxCxJwErsCvNsTMBK7EfABESsBk5sSsnERKzISQlICQXOQCxLSkRErMfIiMeJBc5sCERsS4xOTmwExK0CxkaLzAkFzkwMTUUFjMhMjY1ETQmKwEuBCsBIg4CDwEjIgYVADQ2MhYUBiICFBYyNjQmIiU1MxU7KQPoKTs7KZYEDzM3UyrIKVI6LgsMlik7AWSQyJCQyAY%2BWD4%2BWAFYZMgpOzspAlgpOwgbRTUrKTs7FRQ7Kf5wyJCQyJABIFg%2BPlg%2BXmRkAAIANQAABLAErwAeACIAHgCyAAAAK7ANM7AezbICDA8yMjIBsCMvsSQBKwAwMTMhNSIuAT8BIRcWBiMVITUmJy4BLwEBIwEGBw4BDwEBExcTNQFtKT4kE1wBh1IQKzUBoSIoEh4GBv5%2FXf5xGBwMKg8PAWuyLnRCFjYs6t4tV0JCASoTLg4NA%2Bb8EjAbDBoHBwHHAcmM%2FsMAAwBkAAADwwSwACAAKQAxAGUAsiAAACuwIc2yIAAAK7ABzbApL7AqzbAxL7ANzbANELALzQGwMi%2BwBNawIc2wKjKwIRCxLgErsBDNsCUg1hGwHM2xMwErsSUuERKwFjkAsSkhERKwHDmwKhGwFjmwMRKwEDkwMTM1PgE1ETQuAyc1BTIWFRQOAg8BHgQVFA4BIyczMjY1NCYrATUzMjY1NCYjZCk7AgkWJB8B13i6FyEiCwwIG0U0K3amT8ihWYB9Xp%2BLTGyom1kHMygDOxwXHQ0PB0cBsIw3XTcoCAcDDDNBdkZUkU3IYVRagWR7TVJhAAAAAAEAyAAAA28EsAAZACAAsgAAACuwAc2wGDKwCy%2BwDjOwDM0BsBovsRsBKwAwMTM1PgE3EzYmJy4BJzUhFw4DDwEDBhYXFchNcwitCihHBgkFAakCIToiGQUFgAowRzkHQy8DUTgkEwEDATk5CCMnJQwM%2FMc0PAY5AAL%2FtQAABRQEsAAJACUAfgCyGwAAK7AfL7ICBRYzMzOwDM2yHwwKK7NAHxAJK7AKMgGwJi%2BwAdawB82wBxCxCgErsCXNsCUQsR0BK7AYzbIYHQors0AYGgkrsh0YCiuzQB0bCSuwGBCxEAErsA%2FNsScBK7EKBxESsQUIOTkAsR8bERKwCTmwDBGwBDkwMSczESM3FyMRMwcTETMhMxEjNC4DKwERFxUhNTcRIyIOAxVLS0t9fUtLffqWAryWMhAVLiEiyGT%2BcGTIIiEvFBHIAyCnp%2FzgpwNjASz%2B1B0nFQkC%2FK4yZGQyA1ICCRUnHQAAAAIAIf%2B2BI8EsQAJACUAiQCyCAAAK7ACzbAfL7AWM7AMzbIfDAors0AfCgkrsA8yAbAmL7AK1rAlzbAlELEdASuwGM2yGB0KK7NAGBoJK7IdGAors0AdGwkrsBgQsRABK7APzbEnASuxHSURErMCCAkBJBc5sRAYERKzBAYHAyQXOQCxAggRErEABTk5sB8RsgEEGjk5OTAxPwEVITUXBzUhFQMRMyEzESM0LgMrAREXFSE1NxEjIg4DFSGnAyCnp%2FzgZJYCvJYyEBQvISLIZP5wZMgiIS4VEDN9S0t9fUtLA88BLP7UHScVCQL9djJkZDICigIJFScdAAAAAAQAAAAABLAETAAPAB8ALwA%2FAAA1FBYzITI2PQE0JiMhIgYVNRQWMyEyNj0BNCYjISIGFTUUFjMhMjY9ATQmIyEiBhU1FBYzITI2PQE0JiMhIgYVHRUETBUdHRX7tBUdHRUDIBUdHRX84BUdHRUD6BUdHRX8GBUdHRUCWBUdHRX9qBUdMhQeHhRkFR0dFcgUHh4UZBUdHRXIFB4eFGQVHR0VyBQeHhRkFR0dFQAEAAAAAASwBEwADwAfAC8APwAANRQWMyEyNj0BNCYjISIGFREUFjMhMjY9ATQmIyEiBhUTFBYzITI2PQE0JiMhIgYVERQWMyEyNj0BNCYjISIGFR0VBEwVHR0V%2B7QVHR0VBEwVHR0V%2B7QVHcgdFQK8FR0dFf1EFR0dFQK8FR0dFf1EFR0yFB4eFGQVHR0VAfQUHh4UZBUdHRX%2BcBQeHhRkFR0dFQH0FB4eFGQVHR0VAAQAAAAABLAETAAPAB8ALwA%2FACYAsg0AACuwBM2wLS%2BwJM2wHS%2BwFM2wPS%2BwNM0BsEAvsUEBKwAwMT0BNDYzITIWHQEUBiMhIiYTNTQ2MyEyFh0BFAYjISImEzU0NjMhMhYdARQGIyEiJhM1NDYzITIWHQEUBiMhIiYdFQRMFR0dFfu0FR1kHRUD6BUdHRX8GBUdyB0VAyAVHR0V%2FOAVHcgdFQJYFR0dFf2oFR0yZBUdHRVkFB4eAmxkFR0dFWQUHh7%2B6GQVHR0VZBQeHgJsZBUdHRVkFB4eAAQAAAAABLAETAAPAB8ALwA%2FACYAsg0AACuwBM2wHS%2BwFM2wLS%2BwJM2wPS%2BwNM0BsEAvsUEBKwAwMT0BNDYzITIWHQEUBiMhIiYRNTQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJhE1NDYzITIWHQEUBiMhIiYdFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0yZBUdHRVkFB4eAUBkFR0dFWQUHh4BQGQVHR0VZBQeHgFAZBUdHRVkFB4eAAAAAAgAAAAABLAETAAPAB8ALwA%2FAE8AXwBvAH8AUgCyDQAAK7BMM7AEzbBEMrAdL7BcM7AUzbBUMrAtL7BsM7AkzbBkMrA9L7B8M7A0zbB0MgGwgC%2BwANayECAwMjIysAnNshgoODIyMrGBASsAMDE9ATQ2OwEyFh0BFAYrASImETU0NjsBMhYdARQGKwEiJhE1NDY7ATIWHQEUBisBIiYRNTQ2OwEyFh0BFAYrASImATU0NjMhMhYdARQGIyEiJhE1NDYzITIWHQEUBiMhIiYRNTQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJh0VZBUdHRVkFR0dFWQVHR0VZBUdHRVkFR0dFWQVHR0VZBUdHRVkFR0BLB0VAyAVHR0V%2FOAVHR0VAyAVHR0V%2FOAVHR0VAyAVHR0V%2FOAVHR0VAyAVHR0V%2FOAVHTJkFR0dFWQUHh4BQGQVHR0VZBQeHgFAZBUdHRVkFB4eAUBkFR0dFWQUHh78kGQVHR0VZBQeHgFAZBUdHRVkFB4eAUBkFR0dFWQUHh4BQGQVHR0VZBQeHgAABv%2BbAAAEsARMAAYACgAaACoAOgBKACAAsAAvsCYzsAHNsC4yAbBLL7FMASsAsQEAERKwBDkwMQM1MzUXBzUTMxEjExQWMyEyNj0BNCYjISIGFTUUFjMhMjY9ATQmIyEiBhU1FBYzITI2PQE0JiMhIgYVNRQWOwEyNj0BNCYrASIGFWXJpqbIZGTIHRUCWBQeHhT9qBUdHRUBLBQeHhT%2B1BUdHRUB9BQeHhT%2BDBUdHRVkFB4eFGQVHQH0ZEt9fUv%2BDARM%2B%2BYUHh4UZBUdHRXIFB4eFGQVHR0VyBQeHhRkFR0dFcgUHh4UZBUdHRUAAAAABgABAAAFFQRMAA8AHwAvAD8AQwBKABcAskAAACsBsEsvsEDWsEPNsUwBKwAwMTcUFjMhMjY9ATQmIyEiBhU1FBYzITI2PQE0JiMhIgYVNRQWMyEyNj0BNCYjISIGFTUUFjsBMjY9ATQmKwEiBhUBETMRExc1MzUjNQEdFQJYFB4eFP2oFR0dFQEsFB4eFP7UFR0dFQH0FB4eFP4MFR0dFWQUHh4UZBUdAyBkIafIyDIUHh4UZBUdHRXIFB4eFGQVHR0VyBQeHhRkFR0dFcgUHh4UZBUdHRX75gRM%2B7QCJn1LZEsAAgAAAMgEsAPoAA8AEgAtALANL7AEzbAEzQGwEy%2BwANawCc2xFAErsQkAERKwEDkAsQQNERKxERI5OTAxGQE0NjMhMhYVERQGIyEiJgkBESwfAu4fLCwf%2FRIfLAOEASwBEwKKHywsH%2F12HywsAWQBLP2oAAADAAAAAASwBEwADwAXAB8AWQCyDQAAK7AfL7AbzbAXL7AEzQGwIC%2BwANawEM2wEBCxGQErsB3NsB0QsRUBK7AJzbEhASuxHRkRErARObAVEbETEjk5ALEfDRESshATFTk5ObAbEbAUOTAxNRE0NjMhMhYVERQGIyEiJj8BBScBExEhEjQ2MhYUBiIaEgRYExkZE%2FuoEhpk9wEqSgEl7PwYbE5wTk5wLAP0EhoaEvwMEhoa7baDnAE%2B%2FuAB9P7OcE5OcE4AAgCU%2F%2FMEHAS9ABQAHgA9ALINAAArsB0vsATNAbAfL7AA1rAVzbAVELEbASuwCM2xIAErsRsVERKxDQQ5OQCxHQ0RErIHABg5OTkwMRM0PgEzMh4BFAcOAQ8BLgQnJjcUFjMyNjQmIgaUedF6e9B5SUm7OTkKImNdcys%2Fwpdqa5eX1pYC6XzXgX7V9pVy9kJCCSJrb6BLi5Zrl5fWlpcAAAIAAQABBK8ErwAPABUASQCyDQAAK7ATzbAUL7AFzQGwFi%2BwAdawEc2wERCxEwErsAnNsRcBK7ETERESsQ0EOTmwCRGxBQw5OQCxFBMRErMBCAkAJBc5MDESND4CMh4CFA4CIi4BEhAWMxEiAV%2Bg3vTeoF9foN703qBN%2B7CwAd703qBfX6De9N6gX1%2BgAgn%2BnvoDVgACAHUABAPfBQ8AFgAlAAATND4DNx4GFRQOAgcuAjceARc3LgInJjY%2FAQ4BdURtc3MeFUlPV00%2FJU5%2Bmk9yw4B%2BDltbEAcWLgoPAgkJXDcBll64oZ3FYEePdndzdYZFWZlkOwQGXrh%2BUmwaYgYWSihJjTQzbpYAAAADAAAAAATFBGgAHAAhACYAVwCyGgAAK7APzbAIL7AEzQGwJy%2BwANawDM2wDBCxEwErsBbNsSgBK7ETDBESswYdHiAkFzmwFhGxHyI5OQCxCA8RErMVHR8hJBc5sAQRsyAiIyUkFzkwMRkBNDYzBBcHISIGFREUFjMhMjY9ATcVFAYjISImJTcBJwkBFzcvAeulAW4fuv7JKTs7KQH0KTvI66X%2B1KXrAbShAZxy%2FmsB%2BXFxFVwBkAEspesGCLo7Kf4MKTs7KX3I4aXr62oyAZxx%2FmsB%2BHFxVRwAAAAAAgAAAAAElQRMABwALgBIALIaAAArsBDNsCIvsCfNsAkvsATNsAQQsAbNAbAvL7AA1rANzbEwASsAsSIQERKyFR0kOTk5sQkaERKwJTmxBAYRErAmOTAxGQE0NjMhFwYHIyIGFREUFjMhMjY1NxUUBiMhIiYBPgMfARUJARUiDgXrpQEFAoVVkSk7OykB9Ck7yOul%2FtSl6wGnHmdnXx4dAWj%2BmQcYSENWQzkBkAEspetQIFg7Kf4MKTs7KZk1pevrASEmNBMJAQHRAUQBPtgCDhczQ20AAAAAAgAAAAAEqARMAB0AIwBSALIbAAArsBDNsAkvsATNAbAkL7AA1rANzbANELEUASuwF82xJQErsRQNERKzBx4fIiQXObAXEbAhOQCxCRARErMWHyIjJBc5sAQRsSAhOTkwMRkBNDYzITIXByEiBhURFBYzITI2PQE3FRQGIyEiJgkCJwEn66UBLD1Csv6jKTs7KQH0KTvI66X%2B1KXrAVYBGwI3if5SkgGQASyl6xexOyn%2BDCk7OylFyKml6%2BsBjf7kAjeJ%2FlGTAAABAAAAAQSwBLEAFwBFALISAAArsBYvsA4zsALNsAkyAbAYL7AU1rADMrAQzbAIMrEZASuxEBQRErEGEjk5ALEWEhESsQ0XOTmwAhGxAAw5OTAxEQEVMzUjCQEjFTM1CQE1IxUzCQEzNSMVASzIyAEsASfDyAEs%2FtTIw%2F7Z%2FtTIyAJbASjGyAEs%2FtTIxv7Y%2FtTGyP7UASzIxgAAAAABAMgAAAOEBEwAEwAdALIRAAArsAszAbAUL7AA1rANzbAIMrEVASsAMDE3ETQ2OwEyFhURAREBERQGKwEiJsgdFWQVHQH0%2FgwdFWQVHTID6BUdHRX%2BSwHn%2B7QB6P5KFR0dAAAAAQAAAAAEsARMABcAHwCyFQAAK7ENDzMzAbAYL7AA1rARzbAIMrEZASsAMDE1ETQ2OwEyFhURAREBEQERAREUBisBIiYdFWQVHQH0AfT%2BDP4MHRVkFR0yA%2BgVHR0V%2FksB5%2F4ZAef7tAHo%2FhgB6P5KFR0dAAABAIgAAASwBEwABgAUALIGAAArsAQzAbAHL7EIASsAMDETAREBEQERiAI0AfT%2BDAImAib%2BGQHn%2B7QB6P4YAAAAAQDIAAAETARMAAIAADMJAcgDhPx8AiYCJgAAAAIAyABkA4QD6AAPAB8AADcUFjsBMjY1ETQmKwEiBhUBFBY7ATI2NRE0JisBIgYVyB0VyBUdHRXIFR0BkB0VyBUdHRXIFR2WFR0dFQMgFR0dFfzgFR0dFQMgFR0dFQAAAAEAyABkBEwD6AAPAAA3FBYzITI2NRE0JiMhIgYVyB0VAyAVHR0V%2FOAVHZYUHh4UAyAVHR0VAAAAAQAAAAAEKARMAAYAFACyAAAAK7AFMwGwBy%2BxCAErADAxMREBEQkBEQH0AjT9zARM%2FhkB5%2F3a%2FdoB6AAAAQAAAAAEsARMABcAHwCyAAAAK7EQFjMzAbAYL7AU1rAEMrANzbEZASsAMDExEQERARE0NjsBMhYVERQGKwEiJjURAREB9AH0HRVkFR0dFWQVHf4MBEz%2BGQHn%2FhkBtRUdHRX8GBUdHRUBtv4YAegAAAEBLAAAA%2BgETAATAB0AsgAAACuwDjMBsBQvsBLWsAIysAvNsRUBKwAwMSERARE0NjsBMhYVERQGKwEiJjURASwB9B0VZBUdHRVkFR0ETP4ZAbUVHR0V%2FBgVHR0VAbYAAAIAZADIBLAEKAAPABIAEgCwDS%2BwBM0BsBMvsRQBKwAwMTc1NDYzITIWHQEUBiMhIiYRIQFkHRUD6BUdHRX8GBUdBEz92vpkFR0dFWQVHR0BDwI0AAEAuQAHA%2FkEqQAFAAATATcJASe5AlDw%2Fp8BYfACV%2F2w8AFhAWHwAAABARD%2F0gRSBHQACAAAJQkBNwEXBxUBARABYf6f8QI8FQH9sMIBYQFh8P3FFgEB%2FbEAAAAAAgADAAMErQStAAsAFwBCALAKL7AOzbAVL7AEzQGwGC%2BwAdawDM2wDBCxEQErsAfNsRkBK7ERDBESswQJCgMkFzkAsRUOERKzAQYHACQXOTAxEhASJCAEEhACBCAkEzMVMzUzNSM1IxUjA6ABEwFEAROgoP7t%2Frz%2B7YnIyMjIyMgBtgFEAROgoP7t%2Frz%2B7aCgAVHIyMjIyAACAAMAAwStBK0ACwAPAEkAsAovsAzNsA8vsATNAbAQL7AB1rAMzbAMELENASuwB82xEQErsQ0MERKzBAkKAyQXOQCxDAoRErEHADk5sQQPERKxAQY5OTAxEhASJCAEEhACBCAkEyE1IQOgARMBRAEToKD%2B7f68%2Fu2JAlj9qAG2AUQBE6Cg%2Fu3%2BvP7toKABUcgAAAAAAgADAAMErQStAAsAFwAyALAKL7AEzbAEzQGwGC%2BwAdawB82wB82xGQErsQcBERKxDBA5OQCxBAoRErENFTk5MDESEBIkIAQSEAIEICQTFzcXNyc3JwcnBxcDoAETAUQBE6Cg%2Fu3%2BvP7tU9WNjdWOjtWNjdSNAbYBRAEToKD%2B7f68%2Fu2goAEo1Y6O1Y2N1I2O1Y0AAAIAAwADBK0ErQALABEAMgCwCi%2BwBM2wBM0BsBIvsAHWsAfNsAfNsRMBK7EHARESsQwOOTkAsQQKERKxDQ85OTAxEhASJCAEEhACBCAkEwkBJwcnA6ABEwFEAROgoP7t%2Frz%2B7WsBFAGbr%2BxmAbYBRAEToKD%2B7f68%2Fu2goAGE%2FusBm67sZgAAAAADAAMAAwStBK0ACwA4ADwAbACwCi%2BwOc2wPC%2BwJ82wIS%2BwG82wNC%2BwBM0BsD0vsBLWsB7NsB4QsS4BK7AHzbE%2BASuxHhIRErEhNDk5sC4RtAkEKDo7JBc5ALEnPBESsQcAOTmwIRGwKjmwGxKyDA8uOTk5sDQRsQYBOTkwMRIQEiQgBBIQAgQgJBMzMhYyNjQ%2BBToBMzIWFRQGBw4EFzM%2BBDU0LgMjIg4CEzM1IwOgARMBRAEToKD%2B7f68%2Fu3JjwQPBwYCBQIJBA4EEwMTFggXBQ8nHRgByAUSLSIcIzFEMRsyUUUmiMjIAbYBRAEToKD%2B7f68%2Fu2goAIZAgYMCgcFAwIBFBAWDBABBBcfPSYDCikyWDIzTCgYBhg1YP4uZAADAAMAAwStBK0ACwAVABkAOwCwCi%2BwDM2wFS%2BwDjOwEs2wES%2BwFs2wGS%2BwBM0BsBovsRsBKwCxEhURErEHADk5sRYRERKxBgE5OTAxEhASJCAEEhACBCAkNyE1IxEhFTMVIxMzNSMDoAETAUQBE6Cg%2Fu3%2BvP7t7QGQZP7UZGRkyMgBtgFEAROgoP7t%2Frz%2B7aCgiWQBLGTIAZBkAAACAAAAAASwBLAAGAAvAGkAshQAACuwEi%2BwH82wHDKwAC%2ByDhkhMzMzsAHNsgwjLTIyMgGwMC%2BwFNayBRwpMjIysBPNsgceJzIyMrExASuxExQRErMiIy4vJBc5ALESFBESsBU5sQAfERKwHTmwARGyHigpOTk5MDERNTM%2BATc1MxUeAhczFSMOAQcVIzUuASczHgEXNTMVNjcjNTMuAScVIzUOAQczFcMfh4vINnZrEsvLGbdZyIyIHmAYb0vIlTTJyBllSshLbhjRAfTIfZUayMgUUINFyGaoIcXFG5d9SW0Yzs4wnshKahjMyxdsSMgAAAAAAwAEAAQErASsAAsAEwAfAEYAsAovsA%2FNsBMvsATNAbAgL7AB1rANzbANELERASuwB82xIQErsRENERK1BAkKAxQaJBc5ALETDxEStQEGBwAXHSQXOTAxEhASJCAEEhACBCAkEhAWIDYQJiADNyc3FzcXBxcHJwcEoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqpJh4dth4dth4dth4cBtgFEARKgoP7u%2Frz%2B7qCgAl%2F%2BqvPzAVbz%2FduHh22Hh22Hh22HhwAAAAMABAAEBKwErAALABMAGQBGALAKL7APzbATL7AEzQGwGi%2BwAdawDc2wDRCxEQErsAfNsRsBK7ERDREStQQJCgMUGCQXOQCxEw8RErUBBgcAFxkkFzkwMRIQEiQgBBIQAgQgJBIQFiA2ECYgAzcXNxcBBKABEgFEARKgoP7u%2Frz%2B7hbzAVbz8%2F6qa41XzI7%2BpgG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP%2BI41XzY7%2BpwAAAAMABAAEBKwErAALABMAGwBGALAKL7AWzbARL7AEzQGwHC%2BwAdawDM2wDBCxGQErsAfNsR0BK7EZDBEStQQJCgMPFCQXOQCxERYRErUBBgcADhskFzkwMRIQEiQgBBIQAgQgJBMUFwEmIyIGExYzMjY1NCcEoAESAUQBEqCg%2Fu7%2BvP7uFj4COGR0q%2FPNYXCr8zsBtgFEARKgoP7u%2Frz%2B7qCgAbRzZAI3PvP98jvzq3BhAAAAAAEAAABjBLAD6AAGABoAsAUvsALNAbAHL7EIASsAsQIFERKwADkwMREBESERIRECWAJY%2FagCIwHF%2FtT%2B1P7TAAABAAAAYwSwA%2BgABgAaALAAL7ABzQGwBy%2BxCAErALEBABESsAQ5MDEZASERCQERAlgCWP2oAZABLAEs%2Fjv%2BQAEtAAAAAAEAzAAABEoEsAAGAB8AsgUAACsBsAcvsAXWsATNsQgBK7EEBRESsAE5ADAxEwkBIREhEcwBwgG8%2Ftb%2B1AJYAlj9qP2oAlgAAAEAaAAAA%2BYEsAAGAB8AsgYAACsBsAcvsAHWsATNsQgBK7EEARESsAY5ADAxEyERIREhAWgBKAEsASr%2BPwJYAlj9qP2oAAAAAAEAAADHBLAETAANAAA1PgM3EQkBEQ4DBkaJ55wCWP2oX7CkgsiE1a1nCAEP%2Fjv%2BQAEtAiREdQAAAgAAAAAEsASwAAYADQARALIAAAArAbAOL7EPASsAMDExERcBFwEXExcBFxEhF4EBJo7%2B2oHrjgEmgf5wgQGQgQEmjv7agQMJjgEmgQGQgQACACIAIwSOBI4ABgANAAA3ASchEScJAREXARcBFyIBJ4EBkIH%2B2QGogQEnjv7ZgbABJ4H%2BcIL%2B2QI1AZCBASeN%2FtmCAAMAFwAXBJkEmQAPAB8AIwBPALANL7AgzbAjL7AUzbAdL7AFzQGwJC%2BwAdawEM2wEBCxGQErsAnNsSUBK7EZEBEStQUMDQQhIyQXOQCxFCMRErEJADk5sB0RsQgBOTkwMRI0PgIyHgIUDgIiLgEBEx4BOwEyNjcTNiYrASIGEzM1Ixdbm9Xs1ZtbW5vV7NWbAVY6BCMUNhQjBDoEGBTPFRgwyMgB4uzVm1tbm9Xs1ZtbW5sCRv7SFB0dFAEuFB0d%2FcVkAAAFAAAAAASwBLAAJgAqADAANAA7ADQAsicAACuwMTOwKs2wMjIBsDwvsDHWsAUysDTNsAcysT0BK7E0MREStAsMEzU6JBc5ADAxETMVIREzESE1MzUjNjQmLwEuASMiDwEGByYvASYjIgYPAQ4BFBUjEyERIRMiNj8BFxMRIREBNx4DI2QBkMgBkGRvAQMCIgs9JyAd7xYSExXuIR0nPQojAgJvZAGQ%2FnBkAyITEtXbAZD%2Bj8oFDiASAgMgyAEs%2FtTIZAELEwisJzARkA0WGAyQEi4msQgUCgH8fAGQAfRgMC%2B%2F%2FHwBkP5wA4TFDClXOQACAAD%2F6gSvBLAAGwAyABcAsgAAACsBsDMvsCfWsA%2FNsTQBKwAwMRU1Ny4CPgE3PgU3FAIOBC4CIwc2Fjc2JT4DNz4BJyYiBgcOAQ8BBAfYCQgDFTguL2llmonoaCxKaHGDeHtcUw9jEidDNwE4RmFrWykWBAgHFCERI509Pf6PWRaPwTU8gGKCOzxVMy0eOR69%2FszQm1UzCQYTDzd%2FDVNCqCY%2FX4BUMhQJBR0ZM3MgIMXMAAABAG8ADAREBOcASAAjAAGwSS%2BwAdawRc2wRRCxPAErsUoBK7E8RRESsTo2OTkAMDESFBceARcWPgM3PgEnHgEHDgEHDgQeAT4BNz4ENzYCJxYXFicmJy4CNw4EFx4DDgQHBi4CNw4BbwUJRkYfQjo4KA8gDhRPVhEFHxYKCQ8DAwgOGSQYOURrQ0APJqWkFhUnRw8ST1MFMw0qZ0ouDwIMBAgBAQsQGhImOhcHDjQ%2FAblCHjh%2FLRUKJT49HkLtJ1CoZCFJLBMUIA8XCAsBBAYUHD1DbkOsAVNtLFWfBQIHIYbZlQgfZm2nUww7GzQbKBcZEAQKLk1WIC5uAAAD%2F8MAfQTtBDMAIQA%2FAEcAQwCwGi%2BwKc2wOi%2BwCc0BsEgvsDzWsDfNsUkBK7E3PBESQAoJGRoIKSg1PkBDJBc5ALEJOhEStwARJC41PkJHJBc5MDEDNz4GMh4FHwEHDgYiLgUnNx4FMj4ENy4EJxYVFAYiJjU0NwYXFhc3LgEvAT0aBhxGT3N2k5CTdnNPRhwGGhoGHEZPc3aTkJN2c09GHAabB0MtW1R6gHdSWSxICwE3HTo5HjGw%2BLAuZoUxaWklTBMUAlgoCihXVGBHLy9HYFRXKAooKAooV1RgRy8vR2BUVygKKApgPV44KygzXDtoDgFJJUU6GUpZfLCwfFVJV3N8Q2kYYCQkAAAABP%2FDAAAE7QSwABYAIAApAEEAoQCyDwAAK7AOMwGwQi%2BxQwErsDYauj3v790AFSsKsA8uDrAMwAWxDgH5DrANwLAPELMLDwwTK7MQDwwTK7MZDwwTK7MaDwwTK7MkDwwTK7MlDwwTK7IQDwwgiiCKIwYOERI5sBk5sBo5sCQ5sCU5sAs5ALcLDA0QGRokJS4uLi4uLi4uAUAKCwwNDg8QGRokJS4uLi4uLi4uLi6wQBoBADAxAzc%2BBjMyFzczASM3LgQnNxIXNy4BNTQ3BhcWFz8BLgEvAQE3PgY3Jic3HgIfAQcOBD0aBhxGT3N2k0g9PCWU%2FsaUJVKmcmknCpvStyVrjy5mhTFpLxceOg8OASgmFi0vIjATLwFhKydDgS4NGhoHJVplkwJYKAooV1RgRy8RjvtQjxVlZ3k4Dyj%2B5jaNEqduVUlXc3xDL1ccUhsa%2FaeRDyYyJj8YQAJ%2FMJI2j0AUKCgMNGtiZgAAAAP%2FngAABRIErAALABIAFwAAJhYzITI2JwEuAQcBNwkBITUjFREbATUjbxslBQ4lGxX9fhQ4FP1%2B9QG9Ab3%2Bp8hkZMhEREcgBCAiBSD71mQC0%2F0tZGQBkP7UASxkAAAAAAEAZAAVBLAEsAApAEgAsB4vsAnNAbAqL7Al1rAFMrAWzbALMrIWJQors0AWGAkrsiUWCiuzQCUjCSuxKwErsRYlERKxHR45OQCxCR4RErEWJTk5MDETNTQ2NwERNDYyFhURAR4BHQEUBiclERYdARQGLwEjBwYmPQE0NxEFBiZkFg8Ba1h8WAFrDxYYEf6ZZBoTXt5eExpk%2FpkRGAEGKRQxDgFFAVM%2BWFg%2B%2Fq3%2Buw4xFCkUDQz5%2FvlbFkAUEQlOTgkRFEAWWwEH%2BQwNABEAAAAABEwEsAAJABsAHwAjACcAKwAvADMANwA7AD8AQwBHAEsATwBTAFcAADUUFjMhMjY1ESE1ITU0JisBNSMVITUjFSMiBhUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUdFQPoFR37tARMHRWWZP4MZJYVHWRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZDIUHh4UAu5klhUdZGRkZB0V%2FEpkZMhkZMhkZP5wZGTIZGTIZGT%2BcGRkyGRkyGRk%2FnBkZMhkZMhkZP5wZGTIZGTIZGQAAAMAAAADBXgErgAKABAAGQBBALAAL7AYM7ABzbATMrALL7AIM7AQzbADMgGwGi%2BxGwErALEBABESsREWOTmwCxGzBw0SFSQXObAQErEGDjk5MDE9ASEBMzUJATUjCQEhFzcnIQE3FzM1CQE1IwEDAljxASz%2B1J%2F9qP6rAQN6jbX%2BqwKmjXqfASz%2B1PHIyAJYxv7Z%2FtTF%2FagCWHqOtP2VjnvG%2Ftn%2B1MUAAAEAAAAABLAETAASABoAsg4AACuwEC%2BwDDOwBM0BsBMvsRQBKwAwMRkBNDYzITIWFREUBiMhAREjIiY7KQPoKTs7Kf2s%2FtBkKTsBkAJYKTs7Kf2oKTv%2B1AEsOwAAAwBkAAAETASwACUAKQAtAGAAsh8AACuwCc2yCR8KK7NACQEJK7AVMrAmL7AqM7AnzbArMgGwLi%2BwANawJjKwA82wKDKwAxCxEgErsCoysBfNsCwysS8BK7EDABESsCQ5sBIRsR4fOTmwFxKwGTkAMDETNSEVFBcWFxYzMj4GJzQ9ASEVFA4FIi4FGQEhESERIRFkASwGEVUnNSU7KR8RCwMCAQEsBhgnTWWdwJ1lTScYBgEsAZABLAJYyPpxIFwZCwsUHCMoLC4YEQj6yCpSfmpxUDMzUHFqflIBVgEs%2FtQBLP7UAAAAAAH%2F4gC4BGgD3gAFAAADFwkBNwEe4wFgAWHi%2Fb4Bm%2BMBYf6f4wJDAAABAEYA2gTMBAAABQAAEwkBJwkBRgJEAkLi%2Fp%2F%2BoAMd%2Fb0CQ%2BP%2BnwFhAAAAAAL%2FOgBkBXYD6AAIABEAKACwBy%2BwBM0BsBIvsAfWsATNsRMBK7EEBxESsAE5ALEEBxESsA45MDEDCQEjESEXIREBFyERIwkBIxHGASsBLMsBgdf84AGU1wF9xgErASvIArwBG%2F7l%2FnDIAlgBLMj%2BcP7lARsCWAAAAAEAEgAABKoEsAAyAEYAsiIAACuwGTOwLM2wLBCwJs2xFR0yMrAvL7AEzbAQL7AJzQGwMy%2BwJNawH82wHxCxHAErsBfNsTQBK7EXHBESsC05ADAxEyY3NjMhNz4BOwEyFhQGKwEDDgIrARUUBiImPQEhFRQGIiY9ASMiJjU0NjMhNyEiJicSBQ8OGQOAJgUbEV4UHh4UNskCCB4SHx0qHf7UHSodMhUdHRUCFzD9hyAtBQOrGBITohEVHSod%2FD8EDRYyFB4eFDIyFB4eFDIeFBUdyCoWAAAAAAIAAAAABLAETAADAA8AIACyAAAAK7ABzbAEL7AFzbANMrAJzQGwEC%2BxEQErADAxMREhEQE1MzQ2MyEyFhUhFQSw%2B1DIOykBLCk7AfQDIPzgA4RkKTs7KWQAAAAAAgABAAAF3QRMAAMAEAAoALIAAAArsAHNsA8vsA3NsAUysAnNAbARL7ESASsAsQEAERKwBDkwMTMBIQkBETM0NjMhMhYVIRUhAQEsBLD%2B1PtQyDspASwpOwH0%2FBgCvP1EAZACWCk7OynIAAAAAQEuAAADggSwAAkAIQCyCQAAKwGwCi%2BwAdawB82xCwErsQcBERKxBAk5OQAwMQEzESMJASMRMwEBLsbGASoBKsbG%2FtYBLAJYASz%2B1P2o%2FtQAAAAAAQAAAS8EsAOCAAkAHACwCC%2BwAs0BsAovsQsBKwCxAggRErEABTk5MDERARUhNQkBNSEVASwCWAEs%2FtT9qAJYASrGxv7W%2FtfFxQAAAAQAAAAABLAEsAAPABkAHQAhAEkAsgwAACuwGs2wHjKwHS%2BwIDOwBc2wEC%2BwFM0BsCIvsBvWsB7NsB4QsR8BK7AJzbIfCQors0AfAAkrsSMBK7EJHxESsBk5ADAxPQE0NjMhMhYdARQGIyEiJhsBPgEzITIWFxMBMzUjFzM1IzspA%2BgpOzsp%2FBgpOx%2BsBSQUAqATJQWs%2Fo9kZMhkZGRkKTs7KWQpOzsBVQLjFictF%2F0k%2FtRkZGQAAAAD%2F5sAZASwBEwACwApADcAJgABsDgvsADWsAbNsAYQsSoBK7AyzbE5ASuxKgYRErEMGjk5ADAxAzU0Nj8BFS4EFzU8Az4FOwElESUjExYOASMiKwEiJicCARE0NjMyFhURFAYjIiZlMhkZBA4iGhbJAQICBAUHBMgCo%2F1dJi8CCgwPBQNTFB0ENwPoHRUUHh4UFR0CWDIYMg0N%2BgIHFRYhVfoCDAQKBAcDBQIB%2BvyuyP7sDAsBHBUBUf7iA1IVHR0V%2FK4UHh4AAAIASgAABGYEsAArADMANQCyLwAAK7AzzbApL7AfM7ADzbAYMrIpAwors0ApJQkrAbA0L7E1ASsAsSkzERKxLDE5OTAxEzQ2OwE3Ez4BNycmNjsBMhYHBhUeARcTFzMyFhUUBgcOBCMiJi8BLgEFHgEyNjcGIkobFBJ1Pw96UxIGEhReFBIGElN6Dz92ERQbGhIIHmRqn0998To6EhoBpww4RjgLMGwBXhUdrQFHTX4UIBMaFRMkARN%2FTf65rR0VFCgHAwsdFRIpFBQHKdwxPT0xBgAAAQAVABUEnAScABcAABMXBzcXNxc3Fyc3JzcnNwcnBycHJxcHFxXpTuAtm5st4E7qtLTqTuAtm5st4E7pswG9LeBO6bOz6U7gLZucLOFO6bS06U7hLJwAAAMAAABkBLAEsAADACIALgAaAAGwLy%2BwKNawFs2xMAErsRYoERKwFDkAMDE1MxEjARQ7ARY7ATI3EzY9ATQmIyE2PQE0JisBIgYPAgYVExE%2FATMVByEVAyMnyMgBLGQ9fA%2F6LiXuHT0n%2FrgcPScyGzAOYJEUZJZkMjIBwvrWiMgCWP3zS2Q5AVgfK2QsUXYHlixRKBzGxBol%2FokBd9XUr%2BF9%2FolkAAAAAAMAAAAABLAETAADACIALgBwALIcAAArsCXNsBUvsAAzsCjNsC4vsAfNsAEysCwvsArNAbAvL7AA1rADzbADELEEASuwI82wIxCxJgErsBjNsBgQsSkBK7ARzbEwASuxJiMRErIIKCw5OTmwGBGwFTmwKRKwKzkAsS4cERKwKjkwMRkBMxE3ETQ7ATY7ATIXExYdARQGIyEWHQEUBisBIiYvAiY3HwEzNSchNQMjByPIZGQ9fA%2F6LiXuHT0n%2FrgcPScyGzAOYJEUZJZkMjIBwvrWiGQBkAJY%2Fah9AZBLZDn%2BqB8rZCxRdgeWLFEoHMbEGiXU1a%2FhfQF3ZAAAAAMACABkBRUEVQADACIAQQB5ALAgL7AkzbAbL7ApzbAxL7AUzbABMrIxFAors0AxAAkrAbBCL7AA1rADzbADELEEASuwI82wIxCxLQErsBjNsi0YCiuzQC08CSuxQwErsS0jERK0DBEbFD8kFzkAsRskERKwIzmwKRGwGDmxFDERErIXPEE5OTkwMTcRMxE3ETQ2PwElNjMyHwEWFRQPASEyFhQGKwEDDgEjISImNxchEz4BOwEyNjU0JiMhKgIuBCcmNTQ%2FAScFCMhkHA4OAWoOCxEMbQ4LVQEuVWttVGuCBxsP%2FqsHpmRkASWDBhsPyxASEhD%2BNwELBAkDBwQEAgUKk1b%2BrcgCWP2oSwINESUKCeYGDHAOFBIOeUyQTv6tFieiG1kBUxUoHhUUHQEBAgMFAwwIDg23U%2BwAAAAD%2F5sAZQSwBFYAHgA4ADwAeQCwGC%2BwJM2wHS%2BwH82wOC%2BwA82wOjKyOAMKK7NAODkJKwGwPS%2BwAdawH82yHwEKK7NAHywJK7AfELEmASuwFM2wFBCxOQErsDzNsT4BK7EmHxEStAcMHAQpJBc5ALEdJBESsCY5sB8RsAA5sQM4ERKyAScsOTk5MDECNDYzBScmNTQ%2FATYzMhcFHgIVERQGIyEiJicDIyInMzIWFxMhNxElBxcWFRQHDgUqASMhAREzEWVsVQEuVQsObQ0QCw4BbQcUIawI%2FqsQGwaCa1QK3g8bBoMBJWv%2BqVeRCgUBBQMHBAkECwH%2BJAPpyAJDkEwBeRAQFQ1xDAbmBA0nEf3yDaEoFQFTZCkU%2Fq1ZAfbtU7gLDwsJAwUDAgEB%2FgwCWP2oAAAAAAMAYQAABEwFDgAbADYAOgBHALI3AAArsDjNAbA7L7AV1rA3MrApzbIpFQors0ApOgkrsDMysCkQsS8BK7AOzbE8ASuxKRURErESNjk5sQ4vERKwETkAMDEbAR4CMyEyNjURNCYnJTU0JiIGFREnJgYPAQYXNxcWNz4FPAE1ETQ2Fh0BFBYXBREHIQM1IRVh5gQNJxECDQ2iKBX%2BrU6QTHkPJQ5wFltTtxYZAwUDAgEBMjIoFQFTWf4JCAJYAs%2F%2BlQYTH6YHAVYPGwaDalRua1X%2B0lQMAQ1uFgtWkhINAQUDBwQJBAsBAcgWEhMVyhAbBoL%2B2mT%2BcMjIAAAAAAMAAgAKA%2B0FGAAdADQAOABFALA1L7A2zQGwOS%2BwCtawNTKwK82yKwoKK7NAKzgJK7AhMrArELEnASuwD82xOgErsSsKERKxDB85ObEPJxESsA05ADAxEwYfAR4BPwEUBhUUFjI2PQElPgE1ETQmIyEiBg8BAxMhFxEFDgEdARQGJjURPAEuAScmDwETNSEVAhAWcA0mD3kBTZBOAVMUKaIN%2FfMRJQoKmuwB91n%2BrBQoMjIDBwYYFriSAlgCSR8Wbg0BC1UzzS5UbG5UaoMGGw8BVgemHA4P%2FoIBU2T%2B2oIGHA%2FKFhISFgHICwcQCAMNEpICccjIAAAAAgAFAAAEsASrAA4AFQA6ALIMAAArsBDNsA8vsAXNAbAWL7AA1rAQzbEXASsAsRAMERKxCRI5ObAPEbEAEzk5sAUSsQgUOTkwMRM0PgIzMgQSEAIEICQCARchBwkBFQVfoN16ogEToKD%2B7f68%2FuygASUCASwCAZL%2BbgJVet2gX6D%2B7P68%2Fu2goAETAQrJwgEmASrFAAIAAAAABKsEqwAQABcAOACyDgAAK7AUzbAWL7AFzQGwGC%2BwFNawCs2xGQErALEUDhESsBI5sBYRsgoAETk5ObAFErAXOTAxETQ%2BAjMyHgIVFAIEICQCNwEnITchNV%2Bg3Xl63aBfoP7s%2Frz%2B7aDIAZICASwC%2FtQCVXrdoF9foN16ov7toKABE6X%2B2sLJxQAAAAIABQAABLAEqwAOABUAPgCyDAAAK7ARzQGwFi%2BwANawEc2wERCxEgErsAnNsRcBK7ERABESsQwPOTmwEhGxBRU5ObAJErELFDk5ADAxEzQ%2BAjMyBBIQAgQgJAIlMxEzETMBBV%2Bg3XqiAROgoP7t%2Frz%2B7KABJ8jIyP7UAlV63aBfoP7s%2Frz%2B7aCgAROl%2FtQBLAGQAAACAAUAAASwBKsADgAVAE0AsgwAACuwFC%2BwBc0BsBYvsADWsBXNsBUQsRIBK7AJzbEXASuxFQARErEMDzk5sBIRsQUQOTmwCRKxCxE5OQCxFAwRErIIABA5OTkwMRM0PgIzMgQSEAIEICQCJQkBIxEjEQVfoN16ogEToKD%2B7f68%2FuygAScBLAEsyMgCVXrdoF%2Bg%2Fuz%2BvP7toKABE6X%2BcAGQASz%2B1AAAAAAEAAUAAASwBKsAEACIAJgAmgB8ALIOAAArsCrNsE8vsIwvAbCbL7AA1rAUzbAUELFYASuwCs2xnAErsRQAERKwEjmwWBFADg4FEyEjJDxKVXiEhYmUJBc5sAoSQAoNIiYwO1pndpmaJBc5ALFPKhEStxYwNjxGSFVXJBc5sIwRQAkKABRYbIWNjpQkFzkwMRM0PgIzMh4CFRQCBCAkAhMGFgcUFgcyHgEXFhceAjcWBhcWFxQOARcWNz4CNy4BJy4BJyIOAgcGJyY2NS4BJzYuAQcGJyY3NjceAhceAR8BNDYnJjY3PgM3JjcyFjI2Ny4DJzYnHgE%2FATYuAScGJw4DBwYmBw4BBwYWBw4BJT4BNxYyPgE3FBYVLgM3MwVfoN16ed2gX6D%2B7f68%2Fuyg%2BQgbBiIBDBYYCBhUFj45HQguAyotBgEFaHUeIiMDDi4NDkYRCT0gLhAyEAQBBikEAggZGhcTEwsGEAYoGwYMKA4OEwQEJQQFCgcYFgYQCB8SFwkKKSM%2FDAsJHzYMCwcvUg8TEg8rGj4IDz0PFT4DAxMBAzEBAwMaAwoRCxIHIgksHCSiAQJVet2gX1%2Bg3Xqi%2Fu2goAETAVkhdxwJRhkLEwQMHggvHgQSShRHCQYTCgwDcx0kPh8JAQcHEAsBAgsLIxcCLwINCAMWJhIdGR0cHhAGAQEHChMlCQgDSRUXKwoOKhQZCRITAwkLFycVIAcnBQ0DBQQkIxYMAwMMEgYKAQMHBgcnDwsXByJxcQwkBwoMEQQYVQECBgQMXwAAAAABAAAAAgSvBIUAFAAAPAE3ASY2NzYXBRc3FgcGJwEGIi8BDwJYIU5gpI7%2B%2FZH7DaR7gv2sDysPb48rEAJXZck2XGWK6H6vXEYv%2FawQEG4AAAYAAABgBLAErAAPAB8ALwAzADcAOwBQALAML7A0zbA3L7AFzbAcL7AwzbAzL7AVzbAsL7A4zbA7L7AlzQGwPC%2BwNdaxMTkyMrAJzbEYKDIysjUJCiuzQDUACSuxECAyMrE9ASsAMDE9ATQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJhE1NDYzITIWHQEUBiMhIiYBITUhEyE1IRMzNSM7KQPoKTs7KfwYKTs7KQPoKTs7KfwYKTs7KQPoKTs7KfwYKTsCWAH0%2FgzIASz%2B1GTIyMRkKTs7KWQpOzsBuWQpOzspZCk7OwG5ZCk7OylkKTs7%2Fplk%2FgxkArxkAAACAGQAAARMBLAAAwAJACUAsggAACuwAC%2BwAc0BsAovsAjWsAfNsQsBKwCxAAgRErAEOTAxEzUhFQUhAREHEWQD6PxKA4T%2BosgETGRkZP4M%2FtTIAfQAAAAAAwAAAGQEsASwAAkAIQAlAGAAsAcvsAHNsAovsB0zsA7NsRgiMjKwJS%2BwE80BsCYvsA%2FWsCLNsCAysg8iCiuzQA8LCSuwADKwIhCxIwErsB4ysBjNshgjCiuzQBgcCSuwAjKxJwErALEOChESsB85MDE9ASEVFAYjISImGQE0NjMhNTQ2OwEyFh0BITIWFREhNSMVETM1IwSwOyn8GCk7OykBLDspyCk7ASwpO%2F4MyMjIyMjIKTs7AVUBkCk7ZCk7OylkOyn%2BcGRkAfRkAAAAAAQAAAAABLAEsAAGAA0AFAAbABQAsgAAACuwEjMBsBwvsR0BKwAwMTERFzcXBxcBNxc3JzchATcXNxEhNwM3JyERJweByI7Igf5wgciOyIH%2BcALZjsiB%2FnCByMiBAZCByAGQgciOyIEDIIHIjsiB%2FJmOyIH%2BcIEC5siB%2FnCByAAABgAAAAAEqASoAAsAFQAfACkAQgBMANIAsgoAACuwD82wHi%2BwSjOwGc2wRTKwKC%2BwOTOwI82wNDKyKCMKK7NAKEEJK7AUL7AEzQGwTS%2BwAdawDM2wDBCxFwErsBvNsBsQsSELK7AmzbAmELEqASuwPs2wPhCxQwErsEjNszdIQwgrsDHNsDEvsDfNsEgQsREBK7AHzbFOASuxJhsRErMKDhQDJBc5sT4qERKxLTw5ObE3MREStQkPEwQvOyQXOQCxHg8RErMHAAwRJBc5sBkRsyotPD4kFzmwKBKxBgE5ObAjEbEvOzk5MDEYARIkIAQSEAIEICQTFBYgNjU0JiAGFjQ2MhYVFAYjIjY0NjMyFhQGIyIXNDY%2FAiY1NDYzMhYUBiMiJwcWFRQGIiYlNDYyFhQGIyImoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqrzbR8uICAXFk0gFxYgIBYXUikfegEJIBcWICAWDg83ETNIMwEeIC4fIBYXIAGyAUQBEqCg%2Fu7%2BvP7uoKABtKzy8qyr8%2FOHLh8gFhcg5CwhIC4guiAxBX4BDg4WISAuIAqRFh0kMzNSFiAfLiAgAAAAAf%2FYADsEugSwAE8AOgCwBS%2BwJ82wIC%2BwFc2wNi%2BwSs0BsFAvsVEBKwCxJwURErA%2FObAgEbQLDxobMSQXObAVErEyMzk5MDECBhceATMyNz4CNzY3AT4BJyYnJiMiBgcBBxcBNjc2MzIXFgcBBiMiJicmPgI3NjcBPgIzMhceAQcGDwEDHwEBPgEnLgEnJiMiBwYHARsaMCN2Rj84IUApJygRAYojGA8bWhQJLkEj%2FnsHRQF5FBMXGyYPECT93TRJN1oJBQ8wJCYYFAFcND1rNhkXX3YIB1v8%2FQdFAgVDOBEQZk9FU2taKEf%2BAAHWvk45QBwQMSorLBEBiiNiL1cRAiEj%2FnQHQwF1FhAXJCck%2Fd00Qj8jPkAkJBUUAVw0NzUEEZtiZVv5%2FwAHPAH%2FQ7RdV4YkITcYR%2F4AAAAAAAIAUAA2BMMEWAAbADUAPQCwMy%2BwLTOwA82wBzIBsDYvsADWsBzNsBwQsSoBK7AKzbE3ASuxKhwRErMDBw8YJBc5ALEDMxESsAU5MDETNDYzMhc2MzIWFRQOAgcGDwEnLgInLgM3FB4BHwEWFzY%2FAT4CNTQmIyIPAScmIyIGUMWEj2Jnj4HCI1dDR8VgERArckZCR0NXI6o9PkAWXWFScQxAQz5gOUo6dnIzSDxjAxCDxYGBxYMuWmxHRr%2BDFxc6gUZBRkdsWi4bVkE%2BFlpvXG8MPkZYHEdhU6uuUGMAAAAAAgA5%2F%2FIEdwS%2BABgAMwAAExQfARYzMjcBNjQvASYnBxcBJzcnJicHBhMUHwEWFzcnARcHFxYXNz4BNTQvASYjIgcBBjlCjURbXUIBG0JCjQgLadT%2Be%2FdfEi4dN0LUQo0HDGnUAYX3XxIvHh0jN0KNQl1fQP7lQgFhX0COQkIBG0K6Qo0JCGnU%2Fnv4XxItODdCAQRdQo0HCmnUAYX3YBExMx0jaitdQo1CQv7lQAAAAAADAMgAAAPoBLAAEQAVAB0ARQCyDwAAK7AZzbAdL7ASzbAVL7AGzQGwHi%2BwANawEs2wEhCxEwErsAvNsAsQsBvNsBsvsR8BK7EbEhESsgYFFjk5OQAwMTcRND4CMh4CFREUBiMhIiY3IREhEhQWMjY0JiLIPGacqppkOjsp%2FagpO2QCWP2oxD1WPT1WZAO5FTIuHh4uMhX8Ryk7O%2FECvPzZVj09Vj0AAAABAAAAAASwBLAAGAARALIAAAArAbAZL7EaASsAMDExATcnIQEnJjQ3NjIXARYUBwYiLwEBEScHAS%2FP0gEsAQsjDw8OKg4BGw8PDioOJP7p1NABfNDUARckDioODw%2F%2B5g8qDg8PI%2F71%2FtTSzwADAScAEgQJBOEAMQA9AEMAlwCwLS%2BwKjOwBM2wPjKyLQQKK7NALSwJK7A7L7AfM7ASzbISOwors0ASEwkrAbBEL7AO1rAAMrAyzbABzbAyELEsASuyBBI6MjIysCvNshQfPjIyMrArELFAASuwJ82wHCDWEbAbzbFFASuxMgERErACObAsEbAJOQCxBC0RErApObA7EbYADhsnOkBDJBc5sBISsBU5MDEBMx4BFxEuASMuBDU0PgE3NTMVHgQXIy4BJxEXHgQVFAYHFSM1JicuARMUHgMXFhcRDgETNjU0JicBJ4sFV0oGEwIuQk4vIViCT2QmRVI8KwOfCDZKQCI8UDcosptkmFUoGagQESoUHAcEPUnqqlhSAbFNYw8BTwEGDhkvOVg3XIdDB05PBBMsP2lCSEsN%2Fs0OBxMsPGU%2Bi6oLTU4RVyhrAh4dLBgVBgcCAQESCDv9KxKFQEcZAAAAAQBkAGYDlAStAEMAjQCwMS%2BwKs2wAC%2BwHjOwAc2wHDKwEy%2BwC82yEwsKK7NAEw4JKwGwRC%2BwB9awOTKwGM2wJDKyGAcKK7NAGB4JK7IHGAors0AHAAkrsBgQsQ8BK7AOzbFFASuxGAcRErMCOEJDJBc5sA8RtQsfICoxMyQXObAOErAsOQCxKjERErEtOTk5sAARsSw8OTkwMRM1MyYnLgE%2BATc2MzIWFSM0LgEjIgYHBhUUHgEXMxUjFgYHBgc%2BATM2FjMyNxcOAiMiJgcOAQ8BJz4FNz4BJ2SmGBQKCQMvLWGmgcqZRFAkJVQUKSEXHvHFCBUVKTojYhUhjCFMPDIpTycqF9IyJ1YXGDcGFQoRDBEJMAwkAlhkMTcaO1ZeKFiydzRLHB0VLDkcUyozZDKCHTs2Cw4BIh6TGRcDQgQEGgwLkQQOBg0LEQo3j0cAAgACAAAErgSwAAYADQAfALIMAAArAbAOL7AM1rALzbEPASuxCwwRErAIOQAwMRMJASMRIxEJAiMRIxECASoBKsbIAZIBKgEqxsgBLP7UASwDhPx8AlgBLP7U%2FHwDhAAABQACAAAD6ASwAAYADAAWAB4AIgCmALIHAAArsAYzsArNsgcAACuwCM2wEy%2BwFM2xAAQyMrANL7AOzbAdL7AfzbIdHwors0AdFwkrsBoysCIvsBjNsAIyAbAjL7AB1rAEzbAEELEIASuxDRcyMrAKzbEdHzIysAoQsRUBK7EbIDIysBDNsQsZMjKzEhAVCCuwE82wEy%2BwEs2xJAErsQQBERKwBjmwCBGwBTkAsRQIERKwEDmwDRGwETkwMRMzETMRMwEhNTMVMxUBNSEVIxUjNTM1AxEhESM1IxU3MzUjAsbIxv7WAZBkyP7UASxjZGPIASxkZAFkZAEsA4T8fP7UyGRkAZBkyGRkZAEsAfT%2BDGRkyMgABQACAAAD6ASwAAYADgAUAB4AIgCgALIGAAArsQcKMzOwDS%2BwH82wIi%2BwCM2wDy%2BwEs2wEM2wGy%2BwHM2wFS%2BwFs2wAjIBsCMvsAHWsATNsAQQsQcBK7EPFTIysA7NsREfMjKwDhCxCwErsR0gMjKwCs2xExcyMrMaCgsIK7AbzbAbL7AazbEkASuxBAERErAGObAHEbAFOQCxIh8RErMBBAUAJBc5sRwQERKwGDmwFRGwGTkwMRMzETMRMwEhESERIzUjFQM1MxUzFQE1IRUjFSM1MzUDMzUjAsbIxv7WAZABLGRkZGTI%2FtQBLGNkY2NkZAEsA4T8fP7UAfT%2BDGRkArzIZGQBkGTIZGRk%2FHzIAAAEAAIAAARMBLAABgAMABIAFgBrALILAAArsAwvsBPNsBYvsAjNsA0vsA7Nsg0OCiuzQA0RCSsBsBcvsBHWsBDNsxMQEQgrsAfNsAcvsA0zsBPNsBAQsRQLK7ALMrAKzbEYASsAsQgLERK0AAIDBgEkFzmxDg0RErEFBDk5MDETCQEjESMRBREhESM1AzUzESMREzM1IwIBKgEqxsgCWAEsZMjIZAFkZAEs%2FtQBLAOE%2FHzIAZD%2BDGQD6GT%2BDAGQ%2FHzIAAAABAACAAAETASwAAYADAASABYAawCyCwAAK7AHL7AIzbASL7ATzbISEwors0ASEAkrsBYvsA7NAbAXL7AL1rAKzbMTCgsIK7ANzbANL7AHM7ATzbAKELEUCyuwETKwEM2xGAErALETCxEStAACAwYBJBc5sQ4WERKxBQQ5OTAxEwkBIxEjESU1MxEjEQMRIREjNSczNSMCASoBKsbIAljIZGQBLGRjZGQBLP7UASwDhPx8ZGT%2BDAGQAZABkP4MZGTIAAAAAAUAAgAABLAEsAAGAAoADgASABYAUgCwBy%2BwCM2wCy%2BwDM2wDy%2BwEM2wEy%2BwFM0BsBcvsA%2FWsgcLEzIyMrASzbAWzbIWDwors0AWCgkrs0AWDgkrsRgBKwCxCwgRErMCAwYAJBc5MDETCQEjESMRBTUhFQE1IRUBNSEVATUzFQIBKgEqxsgB9AH0%2FgwBkP5wASz%2B1MgBLP7UASwDhPx8yMjIASzIyAEsyMgBLMjIAAAABQACAAAEsASwAAYACgAOABIAFgBSALAHL7AIzbALL7AMzbAPL7AQzbATL7AUzQGwFy%2BwC9ayBw8TMjIysA7NsArNsgoLCiuzQAoSCSuzQAoWCSuxGAErALELCBESswIDBgAkFzkwMRMJASMRIxEFNTMVAzUhFQE1IRUBNSEVAgEqASrGyAH0yMgBLP7UAZD%2BcAH0ASz%2B1AEsA4T8fMjIyAEsyMgBLMjIASzIyAAAAAACAAAAAARMBEwADwAfACoAsg0AACuwE82wHC%2BwBM0BsCAvsADWsBDNsBAQsRcBK7AJzbEhASsAMDEZATQ2MyEyFhURFAYjISImNxQWMyEyNjURNCYjISIGFeulASyi7u2j%2FtSl68g7KQH0KTs7Kf4MKTsBkAEspevto%2F7UpevrQSk7OykB9Ck7OykAAAMAAAAABEwETAAPAB8AIgA%2BALINAAArsBPNsBwvsATNAbAjL7AA1rAQzbAQELEXASuwCc2xJAErsRcQERKxICE5OQCxHBMRErEgIjk5MDEZATQ2MyEyFhURFAYjISImNxQWMyEyNjURNCYjISIGFRMtAe6iASyl6%2Bul%2FtSj7cg7KQH0KTs7Kf4MKTvIAU3%2BswGQASyj7eul%2FtSl6%2BtBKTs7KQH0KTs7Kf4M%2BvoAAAAAAwAAAAAETARMAA8AHwAiAD4Asg0AACuwE82wHC%2BwBM0BsCMvsADWsBDNsBAQsRcBK7AJzbEkASuxFxARErEgIjk5ALEcExESsSAhOTkwMRkBNDYzITIWFREUBiMhIiY3FBYzITI2NRE0JiMhIgYVFxsB66UBLKPt66X%2B1KXryDspAfQpOzsp%2FgwpO2T6%2BgGQASyj7e6i%2FtSl6%2BtBKTs7KQH0KTs7KWT%2BswFNAAMAAAAABEwETAAPAB8AIgA%2BALINAAArsBPNsBwvsATNAbAjL7AA1rAQzbAQELEXASuwCc2xJAErsRcQERKxICE5OQCxHBMRErEgIjk5MDEZATQ2MyEyFhURFAYjISImNxQWMyEyNjURNCYjISIGFRMhA%2BulASyl6%2B2j%2FtSl68g7KQH0KTs7Kf4MKTtkAfT6AZABLKXr66X%2B1KLu7T8pOzspAfQpOzsp%2FnABTQACAAAAAAUUBEwABgAaADwAsgcAACuwCM2wAC%2BwAc2wES%2BwEs0BsBsvsAzWsBfNsRwBKwCxCAcRErAFObEBABESsAQ5sBERsAM5MDEZASE1CQE1EzUhMjY1ETQmIyE1ITIWFREUBiMBLAGQ%2FnDIAfQpOzsp%2FgwBkKXr66UBkAEsyP6i%2FqLI%2FnDIOykB9Ck7yOul%2FtSl6wAAAAEA2QACA9YEngAhACgAsA4vsBPNAbAiL7Ac1rAWzbEjASuxFhwRErAZOQCxEw4RErAPOTAxExYzIQIHBh8BMzI3NgAzNicmIwU2Ejc2LwEjIgcOAQAHBtkIFwEumwUFCQkJDgwLAg8BDgkIF%2F7TAZoCAgcJCQ8KBLz%2B80sQAgcT%2FkoUFQsIDw0CaRMREQEEAa8MDwwJEAbT%2FtFWEwAAAAACAAAAAAUUBEwAGAAfAD8AsgMAACuwCM2wCBCwBs2wGS%2BwGs2wEC%2BwEs2wFM0BsCAvsADWsAvNsSEBKwCxGgMRErEdHjk5sBARsBw5MDERFBYzITI3NSEiJjURNDYzITUuAS8BIgYVAREhNQkBNeulASwvNf4MKTs7KQH0DshdXaXrAlgBLAGQ%2FnABkKXrD7k7KQH0KTu5BAcCAuul%2FtQBLMj%2Bov6iyAACAAAAAASwBLAAHQAkAFQAsgMAACuwD82wFi%2BwGs0BsCUvsADWsBLNsBIQsQsBK7AHzbEmASuxCxIRErUYGR4fICQkFzmwBxGwIzkAsRYPERK1CAkeIiMkJBc5sBoRsB85MDERFBYzITI2PQEnBxUUBiMhIiY1ETQ2OwE3JyMiBhUlASchEScB66UBLKPtTno7Kf4MKTs7KZx2SmSl6wHwAWGVAfSV%2FqoBkKXr66ViSXuUKTs7KQH0KTt6TuulCQFWlf4Mlf6fAAMABAAEBKwErAALABMAGwBaALAKL7APzbAbL7AXzbATL7AEzQGwHC%2BwAdawDc2wDRCxFQErsBnNsBkQsREBK7AHzbEdASuxGRURErcECQoODxITAyQXOQCxFxsRErcBBgcMDRARACQXOTAxEhASJCAEEhACBCAkEhAWIDYQJiACNDYyFhQGIgSgARIBRAESoKD%2B7v68%2Fu4W8wFW8%2FP%2BqhdyoHJyoAG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP%2BEqBycqByAAAAAwAAAAAETASwAAkAEAAUAC4AsgkAACuwEc2wFC%2BwBc2wCzIBsBUvsBLWsAjNshIICiuzQBIACSuxFgErADAxMRE0NjMhMhYVEQkCIREhEQEzNSMOCwQYCxD8GAG9AcL%2B2f7UAfRkZAETCw4PCv7tAyD%2BDAH0AZD%2BcP12MgAAAAADAAAAAARMBLAACQAQABQAKwCyCQAAK7ARzbAUL7AFzQGwFS%2BwEtawCM2yEggKK7NAEgAJK7EWASsAMDExETQ2MyEyFhURASERIREhCQEzNSMOCwQYCxD8GAEsASwBJ%2F5DAV5kZAETCw4PCv7tArz%2B1AEsAfT75jIAAAAAAwAAAAAETAR%2FAAkADwATAC4AsgkAACuwEM2wEy%2BwBc0BsBQvsBHWsAwysAjNshEICiuzQBEACSuxFQErADAxMRE0NjMhMhYVEQkCJwEnATM1Iw4LBBgLEPwYATECVJr%2BRpYChWRkARMLDg8K%2Fu0Cwf7PAlSb%2FkaX%2FToyAAQAAAAABEwEsAAJAA0AFAAYACsAsgkAACuwFc2wGC%2BwBc0BsBkvsBbWsAjNshYICiuzQBYACSuxGgErADAxMRE0NjMhMhYVEQEXNycDJRMHJwcXATM1Iw4LBBgLEPwYYdRhcAK5A%2FqV1JUBzmRkARMLDg8K%2Fu0D3GLVYfzgAQK775XUlf4NMgAEAAAAAARMBLAACQANABQAGAAuALIJAAArsBXNsBgvsAXNAbAZL7AW1rATMrAIzbIWCAors0AWAAkrsRoBKwAwMTERNDYzITIWFREBFzcnExcHFzcXCwEzNSMOCwQYCxD8fNRi1QPvldSV%2BQFjZGQBEwsODwr%2B7QJk1GHUAev6ldSU7QK5%2B%2BkyAAAAAAIAF%2F%2F%2FBLAErwAFAAgAFwCyBAAAKwGwCS%2BwBdawBs2xCgErADAxEwERCQERFwkBFwSZ%2FiX%2Byk8CoP1gAZ8DEPvJARD%2BdwGgzQOq%2FTgAAAAAAgAAAGQETASwABUAGQBNALARL7AGzbIRBgors0AREwkrsA4ysgYRCiuzQAYECSuwCDIBsBovsADWsBLNsAbNsBIQsQ8BK7ALzbEbASuxDwYRErIJFhc5OTkAMDE1ETQ2OwERIREzFxEUBisBESERIyImATM1Ix0V%2BgH0ZMgeFJb9RJYVHQJYZGSWA%2BgUHv7UASzI%2FK4VHQGQ%2FnAdA2fIAAMAAAA%2BBRQEsAATABkAHQBAALAPL7AGzbIPBgors0APEQkrsgYPCiuzQAYECSuwCDIBsB4vsADWsBDNsAbNsR8BKwCxBg8RErILFxg5OTkwMTURNDY7AREhETMXFQEnByERIyImJTcXARcBAzM1Ix0V%2BgH0ZMj%2B7Hh%2B%2FoaWFR0CRXt4AWF7%2FiXhZGSWA%2BgUHv7UASzI2v7teH%2F%2BcB2xe3gBYHv%2BJAOqyAAAAAADAAAABgUOBLAAEwAXACMAFQABsCQvsADWsBDNsAbNsSUBKwAwMTURNDY7AREhETMXEQcnASERIyImATM1IxM3JzcXNxcHFwcnBx0V%2BgH0ZMhnqv7W%2FreWFR0CWGRkZKqqf6qqf6qqf6qqlgPoFB7%2B1AEsyP7zZ6r%2B1v5wHQNnyPvVqqp%2FqqqAqap%2FqqoAAAADAAAAAASwBLAAEgAZAB0AbACwDi%2BwBs2yDgYKK7NADhAJK7AGELAMzbAaL7AbzbEECDIyAbAeL7AA1rAPzbIPAAors0APCwkrsAAQsAbNsA8QsRoBK7AdzbAMMrEfASuxGgYRErATOQCxDA4RErEXGDk5sRoGERKwCjkwMTURNDY7AREhETMXESEVIREjIiYlCQEjESMRAzUzFR0V%2BgH0ZMj%2BcP4MlhUdAlgBLAEsyMjIZJYD6BQe%2FtQBLMj%2B1Mj%2BcB2r%2FtQBLAEs%2FtQCvMjIAAAAAAMAAAAABLAEsAASABkAHQBbALAOL7AGzbIOBgors0AOEAkrsBovsBvNsQQIMjIBsB4vsADWsA%2FNsAbNsA8QsRoBK7AdzbEfASuxGgYRErATObAdEbANOQCxBg4RErILDBk5OTmwGhGwCjkwMTURNDY7AREhETMXEScBIREjIiYlMxEzETMJATUzFR0V%2BgH0ZMjI%2Ftb%2BbpYVHQJYyMjI%2FtT%2B1GSWA%2BgUHv7UASzI%2Fm7I%2Ftb%2BcB2r%2FtQBLAEsAZDIyAAAAAADAAAAyASwBEwACQATABcAADUUFjMhMjY1ESE1ITU0JiMhIgYVEzUhFR0VBEwVHftQBLAdFfu0FR1kAZD6FR0dFQImZJYVHR0V%2FRLIyAAAAAYAAABmBLAErgAGAAoADgAVABkAHQCBALAFL7EWGjMzsALNsRccMjKwBy%2BxCw8zM7AIzbEMEDIyAbAeL7AH1rAKzbAKELELASuwDs2wDhCxFgErsBnNsR8BK7ELChESswIFBgEkFzmxFg4RErMEAw8QJBc5sBkRsxIUFREkFzkAsQIFERKwADmwBxGxARQ5ObAIErATOTAxEQEVIRUhFQM1MxUzNTMVMzUhNQkBNQM1MxU7ATUjASwBkP5wyGRkZGQBkAEs%2FtRkZGRkZAGQASrGyMYCusjIyMjIxv7W%2FtbG%2FgzIyMgAAAACAGQAAASwBLAAGAAvADoAshQAACsBsDAvsADWsATNsAQQsRcLK7AQzbMJEBcIK7AFzbAFL7AJzbAQELEKCyuwDs2xMQErADAxExE3FxEzETcXETMRNxcRBxEUBisBIiY1ESUUHgIfAREUFjsBMjY1ETQmBwUOARVkMjJkMjJkMjJkHRXIFR0CWBUdHQsKHRXIFR0kGv7sGSUCvAGQZGT%2B1AEsZGT%2B1AEsZGT%2BcMv%2BQRUdHRUBv2QdNSEYBgX%2BcxUdHRUEUh8TEXQRRR8AAAAAAQBkAAAEsARMADMAOACyAAAAK7AMM7AzzbICCw4yMjKwKC%2ByGBwlMzMzsCfNsBoyAbA0L7E1ASsAsSgzERKxBiA5OTAxMyE1IiY1ESERFAYjFSE1Ii4DNRE0Nj8BNSEVMhYVESERNDYzNSEVMh4DFREUBg8BZAGQSxkB9BlLAZAEDiIaFjIZGf5wSxn%2BDBlL%2FnAEDiIaFjIZGTgMJgGK%2FnYmDDg4AQUJFQ4DeBYZAQI4OAwm%2FnYBiiYMODgBBQkVDvyIFhkBAgAGAAAAAARMBEwADwAYABwAIAAqAC4AMgCyGAAAK7AQzbAWL7ASzbISFgors0ASFAkrAbAvL7EwASsAsRIQERKzBAMZHCQXOTAxERQWMyEyNjURNCYjISIGFRMhNzMlESEHIQM1IRUBNSEVASEXFSUzNSEnIQE1JRU7KQEsKTs7Kf7UKTtkAZDIaQEn%2Fldk%2FolkASz%2B1AEs%2FtQBkMgBJ2n%2BV2T%2BiQH0AZABLCk7OykB9Ck7Oyn9RMhi%2FtZkASzIyAEsyMgBkMhiYshk%2FUajhaMAAQAQABAEnwSfACAAABIeAxceAzM%2FATYmLwEmBg8BLgEnNz4BLwEuAQ8BEAEfPpJmZ9GXex8foxEHE8ATNBB2jvxldhEGDosOLRKiA%2BQriY%2FUZmeSPSEBohIuDogOBBF2ZfyOdhExFMITBhGiAAAAAAIAAAAABLAETAAdAEAALwCyGwAAK7AMzbAoL7A4zQGwQS%2BxQgErALEMGxESsSAvOTmwKBGzJikyQCQXOTAxPQE0NjcBNTQ%2BAzIeAh8BFQEeAR0BFAYjISImERQWPwE%2BAT0BNiAXFRQWHwEWNj0BLgQjIg4EDwEVDgFtAhYmUnBSJhYBAQFtDhUdFfu0FB4dFMoUHY0BPo0dFMoUHQYaZHzaflymdWQ%2FLAkJMtQUMw4BLzIEDSAZFRQbHAoKMv7RDjMU1BUdHQKrFRkEIQQiFZIYGJIVIgQhBBkVyAgZQTEpFSEoKCELCgACAGQAAASwBEwAAwAZABQAsgAAACuwAc0BsBovsRsBKwAwMTM1IRUlISc1NxEjFSM1IxUjNSMVIzUjERcVZARM%2B%2F8Dtn1kZGTIZMhkZGRkZMiW%2BmQBkMjIyMjIyP5wZPoAAAAAAwBkAAAEsARMAAkAEwAdACQAsgoAACuwFDMBsB4vsArWsBPNsBMQsRQBK7AdzbEfASsAMDEzIRE0JisBIgYVARE0NjsBMhYVETMRNDY7ATIWFRFkASw7KWQpOwGQOylkKTtkOylkKTsBkCk7Oyn%2BcAPoKTs7KfwYArwpOzsp%2FUQAAAAABf%2BcAAAEsARMAA8AEwAfACcAKwBIALINAAArsBDNsBMvsATNAbAsL7AA1rAQzbAQELERASuwCc2xLQErsREQERK1FBUgIygqJBc5ALETEBEStRQaICYoKSQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETIREjNTM1IREzFSMFMzUzESM1IxMRMxFksHwCvHywsHz9RHywyAOE%2FHxkASzIyP7UyMgBkMhkZMhkZAEsAfR8sLB8%2Fgx8sLAYArz9qAEsZGT%2B1GRkZAEsZP5wASz%2B1AAAAAAF%2F5wAAASwBEwADwATAB8AJwArAEgAsg0AACuwEM2wEy%2BwBM0BsCwvsADWsBDNsBAQsREBK7AJzbEtASuxERARErUUGSAjKCokFzkAsRMQERK1FBogJigpJBc5MDEDETQ2MyEyFhURFAYjISImNyERIRMzNTMVMxEjFSM1IwEzNTMRIzUjExEzEWSwfAK8fLCwfP1EfLDIA4T8fGRkZGRkZGQBkMhkZMhkZAEsAfR8sLB8%2Fgx8sLAYArz9qMjIAfTIyP4MZAEsZP5wASz%2B1AAABP%2BcAAAEsARMAA8AEwAbACMARACyDQAAK7AQzbATL7AEzQGwJC%2BwANawEM2wEBCxEQErsAnNsSUBK7EREBESsxQVHB0kFzkAsRMQERKzFBocIiQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETITUjETM1IQEhNSMRMzUhZLB8Arx8sLB8%2FUR8sMgDhPx8ZAEsyMj%2B1AGQASzIyP7UASwB9HywsHz%2BDHywsBgCvP2oZAEsZP4MZAEsZAAAAAAE%2F5wAAASwBEwADwATABYAGQBEALINAAArsBDNsBMvsATNAbAaL7AA1rAQzbAQELERASuwCc2xGwErsREQERKzFBUXGCQXOQCxExARErMVFhcZJBc5MDEDETQ2MyEyFhURFAYjISImNyERIRMFERMtAWSwfAK8fLCwfP1EfLDIA4T8fGQBLGQBLP7UASwB9HywsHz%2BDHywsBgCvP6ilgEs%2FtSWlgAAAAAF%2F5wAAASwBEwADwATABcAHwAnAFoAsg0AACuwEM2wFC%2BwGM2wIzKwHy%2BwJTOwFc2wEy%2BwBM0BsCgvsADWsBDNsBAQsRQBK7AYzbAYELEcASuwIc2wIRCxJAErsBfNsBcQsREBK7AJzbEpASsAMDEDETQ2MyEyFhURFAYjISImNyERIRMRIRElMzI2NCYrAQQUFjsBESMiZLB8Arx8sLB8%2FUR8sMgDhPx8ZAK8%2FaiCKTY5JoIBEzYpgoImASwB9HywsHz%2BDHywsBgCvP2oAfT%2BDGRUglZWglQBLAAABf%2BcAAAEsARMAA8AEwAfACMAKQBIALINAAArsBDNsBMvsATNAbAqL7AA1rAQzbAQELERASuwCc2xKwErsREQERK1FBUgISQnJBc5ALETEBEStRQaICImKCQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETIREjNTM1IREzFSMFMzUjEzMRMxEjZLB8Arx8sLB8%2FUR8sMgDhPx8ZAEsyMj%2B1MjIAZFkZGNkZMgBLAH0fLCwfP4MfLCwGAK8%2FagBLGRk%2FtRkZGQBLP5wAfQABv%2BcAAAEsARMAA8AEwAZAB0AIQAnAEwAsg0AACuwEM2wEy%2BwBM0BsCgvsADWsBDNsBAQsREBK7AJzbEpASuxERARErcUFRocHh8iJSQXOQCxExARErcUGBobHiAkJiQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETIREjNSMTNTMVFzM1IxMzETMRI2SwfAK8fLCwfP1EfLDIA4T8fGQBLMhkZWTIZGRjZGTIASwB9HywsHz%2BDHywsBgCvP2oAZBk%2FnDIyGRkASz%2BcAH0AAAAAAb%2FnAAABLAETAAPABMAHQAhACUAKwCbALINAAArsBDNsB4vsSIpMzOwH82wIzKwGi%2BwG82wFC%2BwJjOwFc2wJzKwEy%2BwBM0BsCwvsADWsBDNsBAQsR4BK7AUMrAhzbAhELEcASuwF82zGRccCCuwGs2wGi%2BwGc2wFxCxIgErsCXNsCUQsSoBK7ApzbApELAmzbAmL7ApELERASuwCc2xLQErALEbHxESsBc5sBQRsBg5MDEDETQ2MyEyFhURFAYjISImNyERIRc1IREjFSM1MzUDNTMVITUzFQM1MxEjEWSwfAK8fLCwfP1EfLDIA4T8fGQBLGNkY8dkASxkAchkASwB9HywsHz%2BDHywsBgCvMhk%2FtRkZMj%2BcGRkZGQBkGT%2BDAGQAAADAAQABASsBKwACwATAB0AeQCwCi%2BwD82wHS%2BwGs2wGS%2BwFs2wEy%2BwBM0BsB4vsAHWsA3NsA0QsRQBK7AazbAaELERASuwB82xHwErsRoUERK1Cg4TAxYdJBc5sBERtQkPBBIXGyQXOQCxGh0RErQHDRAAFCQXObAZEbAVObAWErMGDBEBJBc5MDESEBIkIAQSEAIEICQSEBYgNhAmIAM1NyEVIRUhFSEEoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqodZAEs%2FtQBLP7UAbYBRAESoKD%2B7v68%2Fu6goAJf%2Fqrz8wFW8%2F3%2ByGRkyGQAAAQAAAAEBKgErAALABMAIAAkAKAAsAovsA%2FNsCEvsBQzsCLNsBsvsBXNsBMvsATNAbAlL7AB1rANzbANELEUASuwIM2wGzKyIBQKK7NAIB4JK7AgELEhASuwGTKwJM2wFzKwJBCxEQErsAfNsSYBK7EgFBESswoOEwMkFzmwIRGwFjmwJBKzCQ8SBCQXOQCxIiERErQHDRAAHiQXObAbEbIXGB85OTmwFRKzBgwRASQXOTAxGAESJCAEEhACBCAkEhAWIDYQJiADESEXFSM1IxUzFSMVMzUzFaABEgFEARKgoP7u%2Frz%2B7hbzAVbz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%2F4WwAY0AS7AIUFixAQGOWbFGBitYIbAQWUuwFFJYIbCAWR2wBitcWFmwFCsAAAABUuZYrgAA%29%20format%28%27truetype%27%29%2Curl%28data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPD94bWwgdmVyc2lvbj0iMS4wIiBzdGFuZGFsb25lPSJubyI%2FPgo8IURPQ1RZUEUgc3ZnIFBVQkxJQyAiLS8vVzNDLy9EVEQgU1ZHIDEuMS8vRU4iICJodHRwOi8vd3d3LnczLm9yZy9HcmFwaGljcy9TVkcvMS4xL0RURC9zdmcxMS5kdGQiID4KPHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPgo8bWV0YWRhdGE%2BPC9tZXRhZGF0YT4KPGRlZnM%2BCjxmb250IGlkPSJnbHlwaGljb25zX2hhbGZsaW5nc3JlZ3VsYXIiIGhvcml6LWFkdi14PSIxMjAwIiA%2BCjxmb250LWZhY2UgdW5pdHMtcGVyLWVtPSIxMjAwIiBhc2NlbnQ9Ijk2MCIgZGVzY2VudD0iLTI0MCIgLz4KPG1pc3NpbmctZ2x5cGggaG9yaXotYWR2LXg9IjUwMCIgLz4KPGdseXBoIC8%2BCjxnbHlwaCAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZDsiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDAzOyIgaG9yaXotYWR2LXg9IjEzMDQiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDA0OyIgaG9yaXotYWR2LXg9IjQzNCIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeDIwMDU7IiBob3Jpei1hZHYteD0iMzI2IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAwNjsiIGhvcml6LWFkdi14PSIyMTciIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDA3OyIgaG9yaXotYWR2LXg9IjIxNyIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeDIwMDg7IiBob3Jpei1hZHYteD0iMTYzIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAwOTsiIGhvcml6LWFkdi14PSIyNjAiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDBhOyIgaG9yaXotYWR2LXg9IjcyIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAyZjsiIGhvcml6LWFkdi14PSIyNjAiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMjEyOyIgZD0iTTIwMCA0MDBoOTAwdjMwMGgtOTAwdi0zMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjVmYzsiIGhvcml6LWFkdi14PSI1MDAiIGQ9Ik0wIDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjYwMTsiIGQ9Ik0tMTQgNDk0cTAgLTgwIDU2LjUgLTEzN3QxMzUuNSAtNTdoNzUwcTEyMCAwIDIwNSA4Ni41dDg1IDIwNy41dC04NSAyMDd0LTIwNSA4NnEtNDYgMCAtOTAgLTE0cS00NCA5NyAtMTM0LjUgMTU2LjV0LTIwMC41IDU5LjVxLTE1MiAwIC0yNjAgLTEwNy41dC0xMDggLTI2MC41cTAgLTI1IDIgLTM3cS02NiAtMTQgLTEwOC41IC02Ny41dC00Mi41IC0xMjIuNXoiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDEzOyIgZD0iTTI5IDQ1NGw0MTkgLTQyMGw4MTggODIwbC0yMTIgMjEybC02MDcgLTYwN2wtMjA2IDIwN3oiIC8%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI3OyIgZD0iTTQgNjAwcTAgMTYyIDgwIDI5OXQyMTcgMjE3dDI5OSA4MHQyOTkgLTgwdDIxNyAtMjE3dDgwIC0yOTl0LTgwIC0yOTl0LTIxNyAtMjE3dC0yOTkgLTgwdC0yOTkgODB0LTIxNyAyMTd0LTgwIDI5OXpNMTg2IDYwMHEwIC0xNzEgMTIxLjUgLTI5Mi41dDI5Mi41IC0xMjEuNXQyOTIuNSAxMjEuNXQxMjEuNSAyOTIuNXQtMTIxLjUgMjkyLjV0LTI5Mi41IDEyMS41dC0yOTIuNSAtMTIxLjV0LTEyMS41IC0yOTIuNXpNMzUwIDYwMGwyNTAgMzAwIGwyNTAgLTMwMGgtMTUwdi0zMDBoLTIwMHYzMDBoLTE1MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI4OyIgZD0iTTAgMjV2NDc1bDIwMCA3MDBoODAwbDE5OSAtNzAwbDEgLTQ3NXEwIC0xMSAtNyAtMTh0LTE4IC03aC0xMTUwcS0xMSAwIC0xOCA3dC03IDE4ek0yMDAgNTAwaDIwMGw1MCAtMjAwaDMwMGw1MCAyMDBoMjAwbC05NyA1MDBoLTYwNnoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI5OyIgZD0iTTQgNjAwcTAgMTYyIDgwIDI5OXQyMTcgMjE3dDI5OSA4MHQyOTkgLTgwdDIxNyAtMjE3dDgwIC0yOTl0LTgwIC0yOTl0LTIxNyAtMjE3dC0yOTkgLTgwdC0yOTkgODB0LTIxNyAyMTd0LTgwIDI5OXpNMTg2IDYwMHEwIC0xNzIgMTIxLjUgLTI5M3QyOTIuNSAtMTIxdDI5Mi41IDEyMXQxMjEuNSAyOTNxMCAxNzEgLTEyMS41IDI5Mi41dC0yOTIuNSAxMjEuNXQtMjkyLjUgLTEyMS41dC0xMjEuNSAtMjkyLjV6TTUwMCAzOTd2NDAxIGwyOTcgLTIwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDMwOyIgZD0iTTIzIDYwMHEwIC0xMTggNDUuNSAtMjI0LjV0MTIzIC0xODR0MTg0IC0xMjN0MjI0LjUgLTQ1LjV0MjI0LjUgNDUuNXQxODQgMTIzdDEyMyAxODR0NDUuNSAyMjQuNWgtMTUwcTAgLTE3NyAtMTI1IC0zMDJ0LTMwMiAtMTI1dC0zMDIgMTI1dC0xMjUgMzAydDEyNSAzMDJ0MzAyIDEyNXExMzYgMCAyNDYgLTgxbC0xNDYgLTE0Nmg0MDB2NDAwbC0xNDUgLTE0NXEtMTU3IDEyMiAtMzU1IDEyMnEtMTE4IDAgLTIyNC41IC00NS41dC0xODQgLTEyMyB0LTEyMyAtMTg0dC00NS41IC0yMjQuNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDMxOyIgZD0iTTIzIDYwMHEwIDExOCA0NS41IDIyNC41dDEyMyAxODR0MTg0IDEyM3QyMjQuNSA0NS41cTE5OCAwIDM1NSAtMTIybDE0NSAxNDV2LTQwMGgtNDAwbDE0NyAxNDdxLTExMiA4MCAtMjQ3IDgwcS0xNzcgMCAtMzAyIC0xMjV0LTEyNSAtMzAyaC0xNTB6TTEwMCAwdjQwMGg0MDBsLTE0NyAtMTQ3cTExMiAtODAgMjQ3IC04MHExNzcgMCAzMDIgMTI1dDEyNSAzMDJoMTUwcTAgLTExOCAtNDUuNSAtMjI0LjV0LTEyMyAtMTg0dC0xODQgLTEyMyB0LTIyNC41IC00NS41cS0xOTggMCAtMzU1IDEyMnoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDMyOyIgZD0iTTEwMCAwaDExMDB2MTIwMGgtMTEwMHYtMTIwMHpNMjAwIDEwMHY5MDBoOTAwdi05MDBoLTkwMHpNMzAwIDIwMHYxMDBoMTAwdi0xMDBoLTEwMHpNMzAwIDQwMHYxMDBoMTAwdi0xMDBoLTEwMHpNMzAwIDYwMHYxMDBoMTAwdi0xMDBoLTEwMHpNMzAwIDgwMHYxMDBoMTAwdi0xMDBoLTEwMHpNNTAwIDIwMGg1MDB2MTAwaC01MDB2LTEwMHpNNTAwIDQwMHYxMDBoNTAwdi0xMDBoLTUwMHpNNTAwIDYwMHYxMDBoNTAwdi0xMDBoLTUwMHogTTUwMCA4MDB2MTAwaDUwMHYtMTAwaC01MDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTAzMzsiIGQ9Ik0wIDEwMHY2MDBxMCA0MSAyOS41IDcwLjV0NzAuNSAyOS41aDEwMHYyMDBxMCA4MiA1OSAxNDF0MTQxIDU5aDMwMHE4MiAwIDE0MSAtNTl0NTkgLTE0MXYtMjAwaDEwMHE0MSAwIDcwLjUgLTI5LjV0MjkuNSAtNzAuNXYtNjAwcTAgLTQxIC0yOS41IC03MC41dC03MC41IC0yOS41aC05MDBxLTQxIDAgLTcwLjUgMjkuNXQtMjkuNSA3MC41ek00MDAgODAwaDMwMHYxNTBxMCAyMSAtMTQuNSAzNS41dC0zNS41IDE0LjVoLTIwMCBxLTIxIDAgLTM1LjUgLTE0LjV0LTE0LjUgLTM1LjV2LTE1MHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDQyOyIgZD0iTTEgNzAwbDEgNDc1cTAgMTEgNyAxOHQxOCA3aDQ3NGw3MDAgLTcwMGwtNTAwIC01MDB6TTE0OCA5NTNxMCAtNDIgMzAgLTcxcTI5IC0zMCA3MSAtMzB0NzEgMzBxMzAgMjkgMzAgNzF0LTMwIDcxcS0yOSAzMCAtNzEgMzB0LTcxIC0zMHEtMzAgLTI5IC0zMCAtNzF6TTcwMSAxMjAwaDEwMGw3MDAgLTcwMGwtNTAwIC01MDBsLTUwIDUwbDQ1MCA0NTB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA0MzsiIGQ9Ik0xMDAgMHYxMDI1bDE3NSAxNzVoOTI1di0xMDAwbC0xMDAgLTEwMHYxMDAwaC03NTBsLTEwMCAtMTAwaDc1MHYtMTAwMGgtOTAweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwNDQ7IiBkPSJNMjAwIDBsNDUwIDQ0NGw0NTAgLTQ0M3YxMTUwcTAgMjAgLTE0LjUgMzV0LTM1LjUgMTVoLTgwMHEtMjEgMCAtMzUuNSAtMTV0LTE0LjUgLTM1di0xMTUxeiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwNDU7IiBkPSJNMCAxMDB2NzAwaDIwMGwxMDAgLTIwMGg2MDBsMTAwIDIwMGgyMDB2LTcwMGgtMjAwdjIwMGgtODAwdi0yMDBoLTIwMHpNMjUzIDgyOWw0MCAtMTI0aDU5Mmw2MiAxMjRsLTk0IDM0NnEtMiAxMSAtMTAgMTh0LTE4IDdoLTQ1MHEtMTAgMCAtMTggLTd0LTEwIC0xOHpNMjgxIDI0bDM4IDE1MnEyIDEwIDExLjUgMTd0MTkuNSA3aDUwMHExMCAwIDE5LjUgLTd0MTEuNSAtMTdsMzggLTE1MnEyIC0xMCAtMy41IC0xN3QtMTUuNSAtN2gtNjAwIHEtMTAgMCAtMTUuNSA3dC0zLjUgMTd6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA0NjsiIGQ9Ik0wIDIwMHEwIC00MSAyOS41IC03MC41dDcwLjUgLTI5LjVoMTAwMHE0MSAwIDcwLjUgMjkuNXQyOS41IDcwLjV2NjAwcTAgNDEgLTI5LjUgNzAuNXQtNzAuNSAyOS41aC0xNTBxLTQgOCAtMTEuNSAyMS41dC0zMyA0OHQtNTMgNjF0LTY5IDQ4dC04My41IDIxLjVoLTIwMHEtNDEgMCAtODIgLTIwLjV0LTcwIC01MHQtNTIgLTU5dC0zNCAtNTAuNWwtMTIgLTIwaC0xNTBxLTQxIDAgLTcwLjUgLTI5LjV0LTI5LjUgLTcwLjV2LTYwMHogTTM1NiA1MDBxMCAxMDAgNzIgMTcydDE3MiA3MnQxNzIgLTcydDcyIC0xNzJ0LTcyIC0xNzJ0LTE3MiAtNzJ0LTE3MiA3MnQtNzIgMTcyek00OTQgNTAwcTAgLTQ0IDMxIC03NXQ3NSAtMzF0NzUgMzF0MzEgNzV0LTMxIDc1dC03NSAzMXQtNzUgLTMxdC0zMSAtNzV6TTkwMCA3MDB2MTAwaDEwMHYtMTAwaC0xMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA0NzsiIGQ9Ik01MyAwaDM2NXY2NnEtNDEgMCAtNzIgMTF0LTQ5IDM4dDEgNzFsOTIgMjM0aDM5MWw4MiAtMjIycTE2IC00NSAtNS41IC04OC41dC03NC41IC00My41di02Nmg0MTd2NjZxLTM0IDEgLTc0IDQzcS0xOCAxOSAtMzMgNDJ0LTIxIDM3bC02IDEzbC0zODUgOTk4aC05M2wtMzk5IC0xMDA2cS0yNCAtNDggLTUyIC03NXEtMTIgLTEyIC0zMyAtMjV0LTM2IC0yMGwtMTUgLTd2LTY2ek00MTYgNTIxbDE3OCA0NTdsNDYgLTE0MGwxMTYgLTMxN2gtMzQwIHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDQ4OyIgZD0iTTEwMCAwdjg5cTQxIDcgNzAuNSAzMi41dDI5LjUgNjUuNXY4MjdxMCAyOCAtMSAzOS41dC01LjUgMjZ0LTE1LjUgMjF0LTI5IDE0dC00OSAxNC41djcxbDQ3MSAtMXExMjAgMCAyMTMgLTg4dDkzIC0yMjhxMCAtNTUgLTExLjUgLTEwMS41dC0yOCAtNzR0LTMzLjUgLTQ3LjV0LTI4IC0yOGwtMTIgLTdxOCAtMyAyMS41IC05dDQ4IC0zMS41dDYwLjUgLTU4dDQ3LjUgLTkxLjV0MjEuNSAtMTI5cTAgLTg0IC01OSAtMTU2LjV0LTE0MiAtMTExIHQtMTYyIC0zOC41aC01MDB6TTQwMCAyMDBoMTYxcTg5IDAgMTUzIDQ4LjV0NjQgMTMyLjVxMCA5MCAtNjIuNSAxNTQuNXQtMTU2LjUgNjQuNWgtMTU5di00MDB6TTQwMCA3MDBoMTM5cTc2IDAgMTMwIDYxLjV0NTQgMTM4LjVxMCA4MiAtODQgMTMwLjV0LTIzOSA0OC41di0zNzl6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA0OTsiIGQ9Ik0yMDAgMHY1N3E3NyA3IDEzNC41IDQwLjV0NjUuNSA4MC41bDE3MyA4NDlxMTAgNTYgLTEwIDc0dC05MSAzN3EtNiAxIC0xMC41IDIuNXQtOS41IDIuNXY1N2g0MjVsMiAtNTdxLTMzIC04IC02MiAtMjUuNXQtNDYgLTM3dC0yOS41IC0zOHQtMTcuNSAtMzAuNWwtNSAtMTJsLTEyOCAtODI1cS0xMCAtNTIgMTQgLTgydDk1IC0zNnYtNTdoLTUwMHoiIC8%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDU5OyIgZD0iTTAgMjc1djY1MHEwIDMxIDIyIDUzdDUzIDIyaDc1MHEzMSAwIDUzIC0yMnQyMiAtNTN2LTY1MHEwIC0zMSAtMjIgLTUzdC01MyAtMjJoLTc1MHEtMzEgMCAtNTMgMjJ0LTIyIDUzek05MDAgNjAwbDMwMCAzMDB2LTYwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDYwOyIgZD0iTTAgNDR2MTAxMnEwIDE4IDEzIDMxdDMxIDEzaDExMTJxMTkgMCAzMS41IC0xM3QxMi41IC0zMXYtMTAxMnEwIC0xOCAtMTIuNSAtMzF0LTMxLjUgLTEzaC0xMTEycS0xOCAwIC0zMSAxM3QtMTMgMzF6TTEwMCAyNjNsMjQ3IDE4MmwyOTggLTEzMWwtNzQgMTU2bDI5MyAzMThsMjM2IC0yODh2NTAwaC0xMDAwdi03Mzd6TTIwOCA3NTBxMCA1NiAzOSA5NXQ5NSAzOXQ5NSAtMzl0MzkgLTk1dC0zOSAtOTV0LTk1IC0zOXQtOTUgMzl0LTM5IDk1eiAiIC8%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDY5OyIgZD0iTTIwMCA1MHYxMDAwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNWgxMDBxMjEgMCAzNS41IC0xNC41dDE0LjUgLTM1LjV2LTQzN2w1MDAgNDg3di0xMTAwbC01MDAgNDg4di00MzhxMCAtMjEgLTE0LjUgLTM1LjV0LTM1LjUgLTE0LjVoLTEwMHEtMjEgMCAtMzUuNSAxNC41dC0xNC41IDM1LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA3MDsiIGQ9Ik0wIDUwdjEwMDBxMCAyMSAxNC41IDM1LjV0MzUuNSAxNC41aDEwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtNDM3bDUwMCA0ODd2LTQ4N2w1MDAgNDg3di0xMTAwbC01MDAgNDg4di00ODhsLTUwMCA0ODh2LTQzOHEwIC0yMSAtMTQuNSAtMzUuNXQtMzUuNSAtMTQuNWgtMTAwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDcxOyIgZD0iTTEzNiA1NTBsNTY0IDU1MHYtNDg3bDUwMCA0ODd2LTExMDBsLTUwMCA0ODh2LTQ4OHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDc4OyIgZD0iTTEwMCAyNTB2MTAwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNWgxMDAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di0xMDBxMCAtMjEgLTE0LjUgLTM1LjV0LTM1LjUgLTE0LjVoLTEwMDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41ek0xMDAgNTAwaDExMDBsLTU1MCA1NjR6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA3OTsiIGQ9Ik0xODUgNTk5bDU5MiAtNTkybDI0MCAyNDBsLTM1MyAzNTNsMzUzIDM1M2wtMjQwIDI0MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDgwOyIgZD0iTTI3MiAxOTRsMzUzIDM1M2wtMzUzIDM1M2wyNDEgMjQwbDU3MiAtNTcxbDIxIC0yMmwtMSAtMXYtMWwtNTkyIC01OTF6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA4MTsiIGQ9Ik0zIDYwMHEwIDE2MiA4MCAyOTkuNXQyMTcuNSAyMTcuNXQyOTkuNSA4MHQyOTkuNSAtODB0MjE3LjUgLTIxNy41dDgwIC0yOTkuNXQtODAgLTI5OS41dC0yMTcuNSAtMjE3LjV0LTI5OS41IC04MHQtMjk5LjUgODB0LTIxNy41IDIxNy41dC04MCAyOTkuNXpNMzAwIDUwMGgyMDB2LTIwMGgyMDB2MjAwaDIwMHYyMDBoLTIwMHYyMDBoLTIwMHYtMjAwaC0yMDB2LTIwMHoiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDkxOyIgZD0iTTAgNTQ3bDYwMCA0NTN2LTMwMGg2MDB2LTMwMGgtNjAwdi0zMDF6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5MjsiIGQ9Ik0wIDQwMHYzMDBoNjAwdjMwMGw2MDAgLTQ1M2wtNjAwIC00NDh2MzAxaC02MDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5MzsiIGQ9Ik0yMDQgNjAwbDQ1MCA2MDBsNDQ0IC02MDBoLTI5OHYtNjAwaC0zMDB2NjAwaC0yOTZ6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5NDsiIGQ9Ik0xMDQgNjAwaDI5NnY2MDBoMzAwdi02MDBoMjk4bC00NDkgLTYwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDk1OyIgZD0iTTAgMjAwcTYgMTMyIDQxIDIzOC41dDEwMy41IDE5M3QxODQgMTM4dDI3MS41IDU5LjV2MjcxbDYwMCAtNDUzbC02MDAgLTQ0OHYzMDFxLTk1IC0yIC0xODMgLTIwdC0xNzAgLTUydC0xNDcgLTkyLjV0LTEwMCAtMTM1LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5NjsiIGQ9Ik0wIDB2NDAwbDEyOSAtMTI5bDI5NCAyOTRsMTQyIC0xNDJsLTI5NCAtMjk0bDEyOSAtMTI5aC00MDB6TTYzNSA3NzdsMTQyIC0xNDJsMjk0IDI5NGwxMjkgLTEyOXY0MDBoLTQwMGwxMjkgLTEyOXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDk3OyIgZD0iTTM0IDE3NmwyOTUgMjk1bC0xMjkgMTI5aDQwMHYtNDAwbC0xMjkgMTMwbC0yOTUgLTI5NXpNNjAwIDYwMHY0MDBsMTI5IC0xMjlsMjk1IDI5NWwxNDIgLTE0MWwtMjk1IC0yOTVsMTI5IC0xMzBoLTQwMHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTA1OyIgZD0iTS02MSA2MDBsMjYgNDBxNiAxMCAyMCAzMHQ0OSA2My41dDc0LjUgODUuNXQ5NyA5MHQxMTYuNSA4My41dDEzMi41IDU5dDE0NS41IDIzLjV0MTQ1LjUgLTIzLjV0MTMyLjUgLTU5dDExNi41IC04My41dDk3IC05MHQ3NC41IC04NS41dDQ5IC02My41dDIwIC0zMGwyNiAtNDBsLTI2IC00MHEtNiAtMTAgLTIwIC0zMHQtNDkgLTYzLjV0LTc0LjUgLTg1LjV0LTk3IC05MHQtMTE2LjUgLTgzLjV0LTEzMi41IC01OXQtMTQ1LjUgLTIzLjUgdC0xNDUuNSAyMy41dC0xMzIuNSA1OXQtMTE2LjUgODMuNXQtOTcgOTB0LTc0LjUgODUuNXQtNDkgNjMuNXQtMjAgMzB6TTEyMCA2MDBxNyAtMTAgNDAuNSAtNTh0NTYgLTc4LjV0NjggLTc3LjV0ODcuNSAtNzV0MTAzIC00OS41dDEyNSAtMjEuNXQxMjMuNSAyMHQxMDAuNSA0NS41dDg1LjUgNzEuNXQ2Ni41IDc1LjV0NTggODEuNXQ0NyA2NnEtMSAxIC0yOC41IDM3LjV0LTQyIDU1dC00My41IDUzdC01Ny41IDYzLjV0LTU4LjUgNTQgcTQ5IC03NCA0OSAtMTYzcTAgLTEyNCAtODggLTIxMnQtMjEyIC04OHQtMjEyIDg4dC04OCAyMTJxMCA4NSA0NiAxNThxLTEwMiAtODcgLTIyNiAtMjU4ek0zNzcgNjU2cTQ5IC0xMjQgMTU0IC0xOTFsMTA1IDEwNXEtMzcgMjQgLTc1IDcydC01NyA4NGwtMjAgMzZ6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEwNjsiIGQ9Ik0tNjEgNjAwbDI2IDQwcTYgMTAgMjAgMzB0NDkgNjMuNXQ3NC41IDg1LjV0OTcgOTB0MTE2LjUgODMuNXQxMzIuNSA1OXQxNDUuNSAyMy41cTYxIDAgMTIxIC0xN2wzNyAxNDJoMTQ4bC0zMTQgLTEyMDBoLTE0OGwzNyAxNDNxLTgyIDIxIC0xNjUgNzEuNXQtMTQwIDEwMnQtMTA5LjUgMTEydC03MiA4OC41dC0yOS41IDQzek0xMjAgNjAwcTIxMCAtMjgyIDM5MyAtMzM2bDM3IDE0MXEtMTA3IDE4IC0xNzguNSAxMDEuNXQtNzEuNSAxOTMuNSBxMCA4NSA0NiAxNThxLTEwMiAtODcgLTIyNiAtMjU4ek0zNzcgNjU2cTQ5IC0xMjQgMTU0IC0xOTFsNDcgNDdsMjMgODdxLTMwIDI4IC01OSA2OXQtNDQgNjhsLTE0IDI2ek03ODAgMTYxbDM4IDE0NXEyMiAxNSA0NC41IDM0dDQ2IDQ0dDQwLjUgNDR0NDEgNTAuNXQzMy41IDQzLjV0MzMgNDR0MjQuNSAzNHEtOTcgMTI3IC0xNDAgMTc1bDM5IDE0NnE2NyAtNTQgMTMxLjUgLTEyNS41dDg3LjUgLTEwMy41dDM2IC01MmwyNiAtNDBsLTI2IC00MCBxLTcgLTEyIC0yNS41IC0zOHQtNjMuNSAtNzkuNXQtOTUuNSAtMTAyLjV0LTEyNCAtMTAwdC0xNDYuNSAtNzl6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEwNzsiIGQ9Ik0tOTcuNSAzNHExMy41IC0zNCA1MC41IC0zNGgxMjk0cTM3IDAgNTAuNSAzNS41dC03LjUgNjcuNWwtNjQyIDEwNTZxLTIwIDM0IC00OCAzNi41dC00OCAtMjkuNWwtNjQyIC0xMDY2cS0yMSAtMzIgLTcuNSAtNjZ6TTE1NSAyMDBsNDQ1IDcyM2w0NDUgLTcyM2gtMzQ1djEwMGgtMjAwdi0xMDBoLTM0NXpNNTAwIDYwMGwxMDAgLTMwMGwxMDAgMzAwdjEwMGgtMjAwdi0xMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEwODsiIGQ9Ik0xMDAgMjYydjQxcTAgMjAgMTEgNDQuNXQyNiAzOC41bDM2MyAzMjV2MzM5cTAgNjIgNDQgMTA2dDEwNiA0NHQxMDYgLTQ0dDQ0IC0xMDZ2LTMzOWwzNjMgLTMyNXExNSAtMTQgMjYgLTM4LjV0MTEgLTQ0LjV2LTQxcTAgLTIwIC0xMiAtMjYuNXQtMjkgNS41bC0zNTkgMjQ5di0yNjNxMTAwIC05MSAxMDAgLTExM3YtNjRxMCAtMjAgLTEzIC0yOC41dC0zMiAwLjVsLTk0IDc4aC0yMjJsLTk0IC03OHEtMTkgLTkgLTMyIC0wLjV0LTEzIDI4LjUgdjY0cTAgMjIgMTAwIDExM3YyNjNsLTM1OSAtMjQ5cS0xNyAtMTIgLTI5IC01LjV0LTEyIDI2LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEwOTsiIGQ9Ik0wIDUwcTAgLTIwIDE0LjUgLTM1dDM1LjUgLTE1aDEwMDBxMjEgMCAzNS41IDE1dDE0LjUgMzV2NzUwaC0xMTAwdi03NTB6TTAgOTAwaDExMDB2MTUwcTAgMjEgLTE0LjUgMzUuNXQtMzUuNSAxNC41aC0xNTB2MTAwaC0xMDB2LTEwMGgtNTAwdjEwMGgtMTAwdi0xMDBoLTE1MHEtMjEgMCAtMzUuNSAtMTQuNXQtMTQuNSAtMzUuNXYtMTUwek0xMDAgMTAwdjEwMGgxMDB2LTEwMGgtMTAwek0xMDAgMzAwdjEwMGgxMDB2LTEwMGgtMTAweiBNMTAwIDUwMHYxMDBoMTAwdi0xMDBoLTEwMHpNMzAwIDEwMHYxMDBoMTAwdi0xMDBoLTEwMHpNMzAwIDMwMHYxMDBoMTAwdi0xMDBoLTEwMHpNMzAwIDUwMHYxMDBoMTAwdi0xMDBoLTEwMHpNNTAwIDEwMHYxMDBoMTAwdi0xMDBoLTEwMHpNNTAwIDMwMHYxMDBoMTAwdi0xMDBoLTEwMHpNNTAwIDUwMHYxMDBoMTAwdi0xMDBoLTEwMHpNNzAwIDEwMHYxMDBoMTAwdi0xMDBoLTEwMHpNNzAwIDMwMHYxMDBoMTAwdi0xMDBoLTEwMHpNNzAwIDUwMCB2MTAwaDEwMHYtMTAwaC0xMDB6TTkwMCAxMDB2MTAwaDEwMHYtMTAwaC0xMDB6TTkwMCAzMDB2MTAwaDEwMHYtMTAwaC0xMDB6TTkwMCA1MDB2MTAwaDEwMHYtMTAwaC0xMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTExMDsiIGQ9Ik0wIDIwMHYyMDBoMjU5bDYwMCA2MDBoMjQxdjE5OGwzMDAgLTI5NWwtMzAwIC0zMDB2MTk3aC0xNTlsLTYwMCAtNjAwaC0zNDF6TTAgODAwaDI1OWwxMjIgLTEyMmwxNDEgMTQybC0xODEgMTgwaC0zNDF2LTIwMHpNNjc4IDM4MWwxNDEgMTQybDEyMiAtMTIzaDE1OXYxOThsMzAwIC0yOTVsLTMwMCAtMzAwdjE5N2gtMjQxeiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxMTE7IiBkPSJNMCA0MDB2NjAwcTAgNDEgMjkuNSA3MC41dDcwLjUgMjkuNWgxMDAwcTQxIDAgNzAuNSAtMjkuNXQyOS41IC03MC41di02MDBxMCAtNDEgLTI5LjUgLTcwLjV0LTcwLjUgLTI5LjVoLTU5NmwtMzA0IC0zMDB2MzAwaC0xMDBxLTQxIDAgLTcwLjUgMjkuNXQtMjkuNSA3MC41eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxMTI7IiBkPSJNMTAwIDYwMHYyMDBoMzAwdi0yNTBxMCAtMTEzIDYgLTE0NXExNyAtOTIgMTAyIC0xMTdxMzkgLTExIDkyIC0xMXEzNyAwIDY2LjUgNS41dDUwIDE1LjV0MzYgMjR0MjQgMzEuNXQxNCAzNy41dDcgNDJ0Mi41IDQ1dDAgNDd2MjV2MjUwaDMwMHYtMjAwcTAgLTQyIC0zIC04M3QtMTUgLTEwNHQtMzEuNSAtMTE2dC01OCAtMTA5LjV0LTg5IC05Ni41dC0xMjkgLTY1LjV0LTE3NC41IC0yNS41dC0xNzQuNSAyNS41dC0xMjkgNjUuNXQtODkgOTYuNSB0LTU4IDEwOS41dC0zMS41IDExNnQtMTUgMTA0dC0zIDgzek0xMDAgOTAwdjMwMGgzMDB2LTMwMGgtMzAwek04MDAgOTAwdjMwMGgzMDB2LTMwMGgtMzAweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxMTM7IiBkPSJNLTMwIDQxMWwyMjcgLTIyN2wzNTIgMzUzbDM1MyAtMzUzbDIyNiAyMjdsLTU3OCA1Nzl6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTExNDsiIGQ9Ik03MCA3OTdsNTgwIC01NzlsNTc4IDU3OWwtMjI2IDIyN2wtMzUzIC0zNTNsLTM1MiAzNTN6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTExNTsiIGQ9Ik0tMTk4IDcwMGwyOTkgMjgzbDMwMCAtMjgzaC0yMDN2LTQwMGgzODVsMjE1IC0yMDBoLTgwMHY2MDBoLTE5NnpNNDAyIDEwMDBsMjE1IC0yMDBoMzgxdi00MDBoLTE5OGwyOTkgLTI4M2wyOTkgMjgzaC0yMDB2NjAwaC03OTZ6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTExNjsiIGQ9Ik0xOCA5MzlxLTUgMjQgMTAgNDJxMTQgMTkgMzkgMTloODk2bDM4IDE2MnE1IDE3IDE4LjUgMjcuNXQzMC41IDEwLjVoOTRxMjAgMCAzNSAtMTQuNXQxNSAtMzUuNXQtMTUgLTM1LjV0LTM1IC0xNC41aC01NGwtMjAxIC05NjFxLTIgLTQgLTYgLTEwLjV0LTE5IC0xNy41dC0zMyAtMTFoLTMxdi01MHEwIC0yMCAtMTQuNSAtMzV0LTM1LjUgLTE1dC0zNS41IDE1dC0xNC41IDM1djUwaC0zMDB2LTUwcTAgLTIwIC0xNC41IC0zNXQtMzUuNSAtMTUgdC0zNS41IDE1dC0xNC41IDM1djUwaC01MHEtMjEgMCAtMzUuNSAxNXQtMTQuNSAzNXEwIDIxIDE0LjUgMzUuNXQzNS41IDE0LjVoNTM1bDQ4IDIwMGgtNjMzcS0zMiAwIC01NC41IDIxdC0yNy41IDQzeiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxMTc7IiBkPSJNMCAwdjgwMGgxMjAwdi04MDBoLTEyMDB6TTAgOTAwdjEwMGgyMDBxMCA0MSAyOS41IDcwLjV0NzAuNSAyOS41aDMwMHE0MSAwIDcwLjUgLTI5LjV0MjkuNSAtNzAuNWg1MDB2LTEwMGgtMTIwMHoiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTMzOyIgZD0iTTUgNTk3cTAgMTIyIDQ3LjUgMjMyLjV0MTI3LjUgMTkwLjV0MTkwLjUgMTI3LjV0MjMyLjUgNDcuNXExNjIgMCAyOTkuNSAtODB0MjE3LjUgLTIxOHQ4MCAtMzAwdC04MCAtMjk5LjV0LTIxNy41IC0yMTcuNXQtMjk5LjUgLTgwdC0zMDAgODB0LTIxOCAyMTcuNXQtODAgMjk5LjV6TTMwMCA2MDBoMjAwdi0zMDBoMjAwdjMwMGgyMDBsLTMwMCA0MDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEzNDsiIGQ9Ik01IDU5N3EwIDEyMiA0Ny41IDIzMi41dDEyNy41IDE5MC41dDE5MC41IDEyNy41dDIzMi41IDQ3LjVxMTYyIDAgMjk5LjUgLTgwdDIxNy41IC0yMTh0ODAgLTMwMHQtODAgLTI5OS41dC0yMTcuNSAtMjE3LjV0LTI5OS41IC04MHQtMzAwIDgwdC0yMTggMjE3LjV0LTgwIDI5OS41ek0zMDAgNjAwbDMwMCAtNDAwbDMwMCA0MDBoLTIwMHYzMDBoLTIwMHYtMzAwaC0yMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEzNTsiIGQ9Ik01IDU5N3EwIDEyMiA0Ny41IDIzMi41dDEyNy41IDE5MC41dDE5MC41IDEyNy41dDIzMi41IDQ3LjVxMTIxIDAgMjMxLjUgLTQ3LjV0MTkwLjUgLTEyNy41dDEyNy41IC0xOTAuNXQ0Ny41IC0yMzIuNXEwIC0xNjIgLTgwIC0yOTkuNXQtMjE3LjUgLTIxNy41dC0yOTkuNSAtODB0LTMwMCA4MHQtMjE4IDIxNy41dC04MCAyOTkuNXpNMjU0IDc4MHEtOCAtMzMgNS41IC05Mi41dDcuNSAtODcuNXEwIC05IDE3IC00NHQxNiAtNjAgcTEyIDAgMjMgLTUuNXQyMyAtMTV0MjAgLTEzLjVxMjQgLTEyIDEwOCAtNDJxMjIgLTggNTMgLTMxLjV0NTkuNSAtMzguNXQ1Ny41IC0xMXE4IC0xOCAtMTUgLTU1dC0yMCAtNTdxNDIgLTcxIDg3IC04MHEwIC02IC0zIC0xNS41dC0zLjUgLTE0LjV0NC41IC0xN3ExMDQgLTMgMjIxIDExMnEzMCAyOSA0NyA0N3QzNC41IDQ5dDIwLjUgNjJxLTE0IDkgLTM3IDkuNXQtMzYgNy41cS0xNCA3IC00OSAxNXQtNTIgMTlxLTkgMCAtMzkuNSAtMC41IHQtNDYuNSAtMS41dC0zOSAtNi41dC0zOSAtMTYuNXEtNTAgLTM1IC02NiAtMTJxLTQgMiAtMy41IDI1LjV0MC41IDI1LjVxLTYgMTMgLTI2LjUgMTd0LTI0LjUgN3EyIDIyIC0yIDQxdC0xNi41IDI4dC0zOC41IC0yMHEtMjMgLTI1IC00MiA0cS0xOSAyOCAtOCA1OHE2IDE2IDIyIDIycTYgLTEgMjYgLTEuNXQzMy41IC00dDE5LjUgLTEzLjVxMTIgLTE5IDMyIC0zNy41dDM0IC0yNy41bDE0IC04cTAgMyA5LjUgMzkuNXQ1LjUgNTcuNSBxLTQgMjMgMTQuNSA0NC41dDIyLjUgMzEuNXE1IDE0IDEwIDM1dDguNSAzMXQxNS41IDIyLjV0MzQgMjEuNXEtNiAxOCAxMCAzN3E4IDAgMjMuNSAtMS41dDI0LjUgLTEuNXQyMC41IDQuNXQyMC41IDE1LjVxLTEwIDIzIC0zMC41IDQyLjV0LTM4IDMwdC00OSAyNi41dC00My41IDIzcTExIDM5IDIgNDRxMzEgLTEzIDU4IC0xNC41dDM5IDMuNWwxMSA0cTcgMzYgLTE2LjUgNTMuNXQtNjQuNSAyOC41dC01NiAyM3EtMTkgLTMgLTM3IDAgcS0xNSAtMTIgLTM2LjUgLTIxdC0zNC41IC0xMnQtNDQgLTh0LTM5IC02cS0xNSAtMyAtNDUuNSAwLjV0LTQ1LjUgLTIuNXEtMjEgLTcgLTUyIC0yNi41dC0zNCAtMzQuNXEtMyAtMTEgNi41IC0yMi41dDguNSAtMTguNXEtMyAtMzQgLTI3LjUgLTkwLjV0LTI5LjUgLTc5LjV6TTUxOCA5MTZxMyAxMiAxNiAzMHQxNiAyNXExMCAtMTAgMTguNSAtMTB0MTQgNnQxNC41IDE0LjV0MTYgMTIuNXEwIC0yNCAxNyAtNjYuNXQxNyAtNDMuNSBxLTkgMiAtMzEgNXQtMzYgNXQtMzIgOHQtMzAgMTR6TTY5MiAxMDAzaDFoLTF6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEzNjsiIGQ9Ik0wIDE2NC41cTAgMjEuNSAxNSAzNy41bDYwMCA1OTlxLTMzIDEwMSA2IDIwMS41dDEzNSAxNTQuNXExNjQgOTIgMzA2IC05bC0yNTkgLTEzOGwxNDUgLTIzMmwyNTEgMTI2cTEzIC0xNzUgLTE1MSAtMjY3cS0xMjMgLTcwIC0yNTMgLTIzbC01OTYgLTU5NnEtMTUgLTE2IC0zNi41IC0xNnQtMzYuNSAxNmwtMTExIDExMHEtMTUgMTUgLTE1IDM2LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEzNzsiIGhvcml6LWFkdi14PSIxMjIwIiBkPSJNMCAxOTZ2MTAwcTAgNDEgMjkuNSA3MC41dDcwLjUgMjkuNWgxMDAwcTQxIDAgNzAuNSAtMjkuNXQyOS41IC03MC41di0xMDBxMCAtNDEgLTI5LjUgLTcwLjV0LTcwLjUgLTI5LjVoLTEwMDBxLTQxIDAgLTcwLjUgMjkuNXQtMjkuNSA3MC41ek0wIDU5NnYxMDBxMCA0MSAyOS41IDcwLjV0NzAuNSAyOS41aDEwMDBxNDEgMCA3MC41IC0yOS41dDI5LjUgLTcwLjV2LTEwMHEwIC00MSAtMjkuNSAtNzAuNXQtNzAuNSAtMjkuNWgtMTAwMCBxLTQxIDAgLTcwLjUgMjkuNXQtMjkuNSA3MC41ek0wIDk5NnYxMDBxMCA0MSAyOS41IDcwLjV0NzAuNSAyOS41aDEwMDBxNDEgMCA3MC41IC0yOS41dDI5LjUgLTcwLjV2LTEwMHEwIC00MSAtMjkuNSAtNzAuNXQtNzAuNSAtMjkuNWgtMTAwMHEtNDEgMCAtNzAuNSAyOS41dC0yOS41IDcwLjV6TTYwMCA1OTZoNTAwdjEwMGgtNTAwdi0xMDB6TTgwMCAxOTZoMzAwdjEwMGgtMzAwdi0xMDB6TTkwMCA5OTZoMjAwdjEwMGgtMjAwdi0xMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEzODsiIGQ9Ik0xMDAgMTEwMHYxMDBoMTAwMHYtMTAwaC0xMDAwek0xNTAgMTAwMGg5MDBsLTM1MCAtNTAwdi0zMDBsLTIwMCAtMjAwdjUwMHoiIC8%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTUwOyIgZD0iTTIgMzAwbDI5OCAtMzAwbDI5OCAzMDBoLTE5OHY5MDBoLTIwMHYtOTAwaC0xOTh6TTYwMiA5MDBsMjk4IDMwMGwyOTggLTMwMGgtMTk4di05MDBoLTIwMHY5MDBoLTE5OHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTUxOyIgZD0iTTIgMzAwaDE5OHY5MDBoMjAwdi05MDBoMTk4bC0yOTggLTMwMHpNNzAwIDB2MjAwaDEwMHYtMTAwaDIwMHYtMTAwaC0zMDB6TTcwMCA0MDB2MTAwaDMwMHYtMjAwaC05OXYtMTAwaC0xMDB2MTAwaDk5djEwMGgtMjAwek03MDAgNzAwdjUwMGgzMDB2LTUwMGgtMTAwdjEwMGgtMTAwdi0xMDBoLTEwMHpNODAxIDkwMGgxMDB2MjAwaC0xMDB2LTIwMHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTU0OyIgZD0iTTIgMzAwbDI5OCAtMzAwbDI5OCAzMDBoLTE5OHY5MDBoLTIwMHYtOTAwaC0xOTh6TTgwMCA0MDB2MTAwaDIwMHYtNTAwaC0xMDB2NDAwaC0xMDB6TTgwMCA4MDB2NDAwaDMwMHYtNTAwaC0xMDB2MTAwaC0yMDB6TTkwMSA5MDBoMTAwdjIwMGgtMTAwdi0yMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE1NTsiIGQ9Ik0yIDMwMGwyOTggLTMwMGwyOTggMzAwaC0xOTh2OTAwaC0yMDB2LTkwMGgtMTk4ek03MDAgMTAwdjIwMGg1MDB2LTIwMGgtNTAwek03MDAgNDAwdjIwMGg0MDB2LTIwMGgtNDAwek03MDAgNzAwdjIwMGgzMDB2LTIwMGgtMzAwek03MDAgMTAwMHYyMDBoMjAwdi0yMDBoLTIwMHoiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTY3OyIgZD0iTTAgMHYyNzVxMCAxMSA3IDE4dDE4IDdoMTA0OHExMSAwIDE5IC03LjV0OCAtMTcuNXYtMjc1aC0xMTAwek0xMDAgNzAwaDMwMHYtMzAwaDMwMHYzMDBoMjk1bC00NDUgNTAwek05MDAgMTUwaDEwMHY1MGgtMTAwdi01MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTY4OyIgZD0iTTAgMHYyNzVxMCAxMSA3IDE4dDE4IDdoMTA0OHExMSAwIDE5IC03LjV0OCAtMTcuNXYtMjc1aC0xMTAwek0xMDAgNzA1bDMwNSAtMzA1bDU5NiA1OTZsLTE1NCAxNTVsLTQ0MiAtNDQybC0xNTAgMTUxek05MDAgMTUwaDEwMHY1MGgtMTAwdi01MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTY5OyIgZD0iTTAgMHYyNzVxMCAxMSA3IDE4dDE4IDdoMTA0OHExMSAwIDE5IC03LjV0OCAtMTcuNXYtMjc1aC0xMTAwek0xMDAgOTg4bDk3IC05OGwyMTIgMjEzbC05NyA5N3pNMjAwIDQwMGw2OTcgMWwzIDY5OWwtMjUwIC0yMzlsLTE0OSAxNDlsLTIxMiAtMjEybDE0OSAtMTQ5ek05MDAgMTUwaDEwMHY1MGgtMTAwdi01MHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTczOyIgZD0iTTAgMTUwdjEwMDBxMCAyMCAxNC41IDM1dDM1LjUgMTVoMjUwdi0zMDBoNTAwdjMwMGgxMDBsMjAwIC0yMDB2LTIxOGwtMjc2IC0yNzVsLTEyMCAxMjBsLTEyNiAtMTI3aC0zNzh2LTQwMGgtMTUwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXpNNTgxIDMwNmwxMjMgMTIzbDEyMCAtMTIwbDM1MyAzNTJsMTIzIC0xMjNsLTQ3NSAtNDc2ek02MDAgMTAwMGgxMDB2MjAwaC0xMDB2LTIwMHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTg0OyIgZD0iTTEwMCAwdjEwMGgxMTAwdi0xMDBoLTExMDB6TTE3NSAyMDBoOTUwbC0xMjUgMTUwdjI1MGwxMDAgMTAwdjQwMGgtMTAwdi0yMDBoLTEwMHYyMDBoLTIwMHYtMjAwaC0xMDB2MjAwaC0yMDB2LTIwMGgtMTAwdjIwMGgtMTAwdi00MDBsMTAwIC0xMDB2LTI1MHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTg4OyIgZD0iTS0xMDAgMzAwdjUwMHEwIDEyNCA4OCAyMTJ0MjEyIDg4aDcwMHExMjQgMCAyMTIgLTg4dDg4IC0yMTJ2LTUwMHEwIC0xMjQgLTg4IC0yMTJ0LTIxMiAtODhoLTcwMHEtMTI0IDAgLTIxMiA4OHQtODggMjEyek0xMDAgMjAwaDkwMHY3MDBoLTkwMHYtNzAwek0yMDAgMzAwaDMwMHYxMDBoLTIwMHYzMDBoMjAwdjEwMGgtMzAwdi01MDB6TTYwMCAzMDBoMzAwdjEwMGgtMjAwdjMwMGgyMDB2MTAwaC0zMDB2LTUwMHoiIC8%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%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<h1 class="title">The Analytics Edge - Unit 3 :<br /> Replicating Expert Assessment</h1>
<h1 class="subtitle">Reproducible notes following lecture slides and videos</h1>
<h4 class="author"><em>Giovanni Fossati</em></h4>
</div>
<p>[ <a href="https://github.com/pedrosan/TheAnalyticsEdge">source files available on GitHub</a> ]</p>
<div id="preliminaries" class="section level2">
<h2>PRELIMINARIES</h2>
<p>Libraries needed for data processing and plotting:</p>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">library</span>(<span class="st">"dplyr"</span>)
<span class="kw">library</span>(<span class="st">"magrittr"</span>)
<span class="kw">library</span>(<span class="st">"ggplot2"</span>)
<span class="kw">library</span>(<span class="st">"caTools"</span>)
<span class="kw">library</span>(<span class="st">"ROCR"</span>)</code></pre>
</div>
<div id="about-the-data" class="section level2">
<h2>ABOUT THE DATA</h2>
<p>The objective was to assess quality, health care quality. So we used a large health insurance claims database, and we randomly selected 131 diabetes patients.</p>
<ul>
<li>Large health insurance claims database.</li>
<li>Randomly selected 131 diabetes patients.</li>
<li>Ages: from 35 to 55</li>
<li>Costs: $10,000 - $20,000</li>
<li>The period in which these claims were recorded: September 1, 2003 - August 31, 2005</li>
</ul>
<p>An expert physician reviewed the claims and wrote descriptive notes and rated the quality of care on a <strong>two-point scale</strong>, <strong>poor</strong> or <strong>good</strong>.</p>
<div id="variable-extraction" class="section level3">
<h3>Variable Extraction</h3>
<ul>
<li>Dependent Variable
<ul>
<li>Quality of care, a <em>categorical variable</em>.</li>
</ul></li>
<li>Independent Variables
<ul>
<li>ongoing use of narcotics.</li>
<li>only on Avandia, not a good first choice drug.</li>
<li>Had regular visits, mammogram, and immunizations.</li>
<li>Was given home testing supplies.</li>
</ul></li>
</ul>
</div>
</div>
<div id="loading-the-data" class="section level2">
<h2>LOADING THE DATA</h2>
<p>Read the dataset <code>quality</code>.</p>
<pre class="sourceCode r"><code class="sourceCode r">quality <-<span class="st"> </span><span class="kw">read.csv</span>(<span class="st">"data/quality.csv"</span>)
<span class="kw">str</span>(quality)
## 'data.frame': 131 obs. of 14 variables:
## $ MemberID : int 1 2 3 4 5 6 7 8 9 10 ...
## $ InpatientDays : int 0 1 0 0 8 2 16 2 2 4 ...
## $ ERVisits : int 0 1 0 1 2 0 1 0 1 2 ...
## $ OfficeVisits : int 18 6 5 19 19 9 8 8 4 0 ...
## $ Narcotics : int 1 1 3 0 3 2 1 0 3 2 ...
## $ DaysSinceLastERVisit: num 731 411 731 158 449 ...
## $ Pain : int 10 0 10 34 10 6 4 5 5 2 ...
## $ TotalVisits : int 18 8 5 20 29 11 25 10 7 6 ...
## $ ProviderCount : int 21 27 16 14 24 40 19 11 28 21 ...
## $ MedicalClaims : int 93 19 27 59 51 53 40 28 20 17 ...
## $ ClaimLines : int 222 115 148 242 204 156 261 87 98 66 ...
## $ StartedOnCombination: logi FALSE FALSE FALSE FALSE FALSE FALSE ...
## $ AcuteDrugGapSmall : int 0 1 5 0 0 4 0 0 0 0 ...
## $ PoorCare : int 0 0 0 0 0 1 0 0 1 0 ...</code></pre>
<p>The variables in the dataset <code>quality.csv</code> are as follows:</p>
<ul>
<li><strong>MemberID</strong> numbers the patients from 1 to 131, and is just an identifying number.</li>
<li><strong>InpatientDays</strong> is the number of inpatient visits, or number of days the person spent in the hospital.</li>
<li><strong>ERVisits</strong> is the number of times the patient visited the emergency room.</li>
<li><strong>OfficeVisits</strong> is the number of times the patient visited any doctor’s office.</li>
<li><strong>Narcotics</strong> is the number of prescriptions the patient had for narcotics.</li>
<li><strong>DaysSinceLastERVisit</strong> is the number of days between the patient’s last emergency room visit and the end of the study period (set to the length of the study period if they never visited the ER).</li>
<li><strong>Pain</strong> is the number of visits for which the patient complained about pain.</li>
<li><strong>TotalVisits</strong> is the total number of times the patient visited any healthcare provider.</li>
<li><strong>ProviderCount</strong> is the number of providers that served the patient.</li>
<li><strong>MedicalClaims</strong> is the number of days on which the patient had a medical claim.</li>
<li><strong>ClaimLines</strong> is the total number of medical claims.</li>
<li><strong>StartedOnCombination</strong> is whether or not the patient was started on a combination of drugs to treat their diabetes (TRUE or FALSE).</li>
<li><strong>AcuteDrugGapSmall</strong> is the fraction of acute drugs that were refilled quickly after the prescription ran out.</li>
<li><strong>PoorCare</strong> is the outcome or dependent variable, and is equal to <code>1</code> if the patient had poor care, and equal to <code>0</code> if the patient had good care.</li>
</ul>
<pre class="sourceCode r"><code class="sourceCode r"><span class="co"># mycolors <- c("blue2", "red2")</span>
mycolors <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"forestgreen"</span>, <span class="st">"firebrick2"</span>)
<span class="kw">ggplot</span>(<span class="dt">data =</span> quality, <span class="kw">aes</span>(<span class="dt">x =</span> OfficeVisits, <span class="dt">y =</span> Narcotics)) +<span class="st"> </span><span class="kw">theme_bw</span>() +<span class="st"> </span>
<span class="st"> </span><span class="kw">scale_colour_manual</span>(<span class="dt">values =</span> mycolors) +
<span class="st"> </span><span class="kw">xlab</span>(<span class="st">"Number of Office Visits"</span>) +<span class="st"> </span>
<span class="st"> </span><span class="kw">ylab</span>(<span class="st">"Number of Narcotics Prescribed"</span>) +<span class="st"> </span>
<span class="st"> </span><span class="kw">geom_point</span>(<span class="kw">aes</span>(<span class="dt">col =</span> <span class="kw">factor</span>(PoorCare), <span class="dt">alpha =</span> <span class="fl">0.5</span>), <span class="dt">pch =</span> <span class="dv">16</span>, <span class="dt">size =</span> <span class="fl">4.0</span>)</code></pre>
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" title alt width="700" style="display: block; margin: auto auto auto 0;" /></p>
<p>This plot shows two of our independent variables,</p>
<ul>
<li>the number of office visits on the x-axis (<code>OfficeVisits</code>), and</li>
<li>the number of narcotics prescribed on the y-axis (<code>Narcotics</code>).</li>
</ul>
<p>Each point is an observation or a patient in our data set.<br />The red points are patients who received poor care, and the green points are patients who received good care. It looks like maybe <em>more office visits</em> and <em>more narcotics</em> are more likely to correspind to <em>poor care</em>.</p>
</div>
<div id="model-healthcare-quality" class="section level2">
<h2>Model Healthcare Quality</h2>
<p>Let’s see if we can build a logistic regression model to better predict poor care.</p>
<div id="baseline-model" class="section level3">
<h3>Baseline Model</h3>
<pre class="sourceCode r"><code class="sourceCode r">tmp <-<span class="st"> </span><span class="kw">table</span>(quality$PoorCare)
tmp
##
## 0 1
## 98 33</code></pre>
<p>In a classification problem, a standard baseline method is to just predict the most frequent outcome for all observations. Since good care is more common than poor care, in this case, we would predict that all patients are receiving good care.</p>
<p>If we did this, we would get 98 out of the 131 observations correct, or have an <strong>accuracy</strong> of about <strong>75%</strong>. This is the accuracy of the <em>baseline model</em>. This is what we’ll try to beat with our logistic regression model.</p>
</div>
<div id="preparing-data-for-modeling-create-training-and-testing-sets" class="section level3">
<h3>Preparing data for modeling : Create <em>training</em> and <em>testing</em> sets</h3>
<p>Randomly split data creating a dummy variable:</p>
<pre class="sourceCode r"><code class="sourceCode r"><span class="co"># for Reproducibility</span>
<span class="kw">set.seed</span>(<span class="dv">88</span>)
split <-<span class="st"> </span><span class="kw">sample.split</span>(quality$PoorCare, <span class="dt">SplitRatio =</span> <span class="fl">0.75</span>)</code></pre>
<p>The function <code>sample.split()</code> randomly splits the data, while making sure that the <em>outcome variable is well-balanced in each piece</em>. We saw earlier that about 75% of our patients are receiving good care. This function makes sure that in our training set, 75% of our patients are receiving good care and in our testing set 75% of our patients are receiving good care.<br />We want to do this so that our test set is representative of our training set.</p>
<pre class="sourceCode r"><code class="sourceCode r">qualityTrain <-<span class="st"> </span><span class="kw">subset</span>(quality, split ==<span class="st"> </span><span class="ot">TRUE</span>)
qualityTest <-<span class="st"> </span><span class="kw">subset</span>(quality, split ==<span class="st"> </span><span class="ot">FALSE</span>)</code></pre>
</div>
<div id="logistic-regression-model" class="section level3">
<h3>Logistic Regression Model</h3>
<p>As independent variabiles we use <code>OfficeVisits</code> and <code>Narcotics</code>.</p>
<pre class="sourceCode r"><code class="sourceCode r">QualityLog <-<span class="st"> </span><span class="kw">glm</span>(PoorCare ~<span class="st"> </span>OfficeVisits +<span class="st"> </span>Narcotics, <span class="dt">data =</span> qualityTrain, <span class="dt">family =</span> binomial)</code></pre>
<p>The option <code>family = binomial</code> tells <code>glm()</code> that we want a logistic regression.</p>
<p>Let’s look at the results:</p>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">summary</span>(QualityLog)
##
## Call:
## glm(formula = PoorCare ~ OfficeVisits + Narcotics, family = binomial,
## data = qualityTrain)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -2.06303 -0.63155 -0.50503 -0.09689 2.16686
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -2.64613 0.52357 -5.054 0.000000433 ***
## OfficeVisits 0.08212 0.03055 2.688 0.00718 **
## Narcotics 0.07630 0.03205 2.381 0.01728 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 111.888 on 98 degrees of freedom
## Residual deviance: 89.127 on 96 degrees of freedom
## AIC: 95.127
##
## Number of Fisher Scoring iterations: 4</code></pre>
<p>What we want to focus on is the coefficients table. This gives the estimate values for the coefficients, or the <em>betas</em>, for our logistic regression model.<br />We see here that the coefficients for <code>OfficeVisits</code> and <code>Narcotics</code> are both positive, which means that higher values in these two variables are indicative of poor care as we suspected from looking at the data.</p>
<p>The last thing we want to look at in the output is the <strong>AIC</strong> value. This is a measure of the quality of the model and is like <em>Adjusted R-squared</em> in that it accounts for the number of variables used compared to the number of observations.</p>
<p>Unfortunately, it can only be compared between models on the same data set. But it provides a means for model selection.<br />The preferred model is the one with the <em>minimum AIC</em>.</p>
</div>
<div id="make-predictions-on-training-set" class="section level3">
<h3>Make predictions on training set</h3>
<pre class="sourceCode r"><code class="sourceCode r">predictTrain <-<span class="st"> </span><span class="kw">predict</span>(QualityLog, <span class="dt">type=</span><span class="st">"response"</span>)</code></pre>
<p>Analyze predictions.<br />Since we’re expecting probabilities, all of the numbers should be between zero and one.<br />And we see that the minimum value is about 0.07 and the maximum value is 0.98.</p>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">summary</span>(predictTrain)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.06623 0.11910 0.15970 0.25250 0.26760 0.98460</code></pre>
<p>Let’s see if we are predicting higher probabilities for the actual poor care cases as we expect. To do this, use the <code>tapply()</code> function, giving as arguments <code>predictTrain</code> and then <code>QualityTrain$PoorCare</code> and then <code>mean</code> (the function to be applied). This will compute the average prediction for each of the true outcomes.</p>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">tapply</span>(predictTrain, qualityTrain$PoorCare, mean)
## 0 1
## 0.1894512 0.4392246</code></pre>
</div>
<div id="probability-to-prediction-threshold-value" class="section level3">
<h3>Probability to <em>Prediction</em>: Threshold Value</h3>
<p>The outcome of a logistic regression model is a probability. Often, we want to make a binary prediction.</p>
<ul>
<li>Did this patient receive poor care or good care?</li>
</ul>
<p>We can do this using a threshold value <em>t</em></p>
<ul>
<li>If <span class="math">\(P(PoorCare = 1) \ge t\)</span>, predict poor quality.</li>
<li>If <span class="math">\(P(PoorCare = 1) < t\)</span>, predict good quality.</li>
</ul>
<div id="two-types-of-errors" class="section level4">
<h4>Two Types of Errors</h4>
<p>There are two types of errors that a model can make:</p>
<ul>
<li>ones where we predict 1, or poor care, but the actual outcome is 0, and</li>
<li>ones where we predict 0, or good care, but the actual outcome is 1.</li>
</ul>
</div>
<div id="what-value-should-we-pick-for-t" class="section level4">
<h4>What value should we pick for <em>t</em>?</h4>
<p>The threshold value is often selected based on which <em>errors are “better”</em></p>
<ul>
<li>If <em>t</em> is large, predict poor care rarely.
<ul>
<li>More errors where we say good care, but it is actually poor care.</li>
<li>Detects patients who are receiving the worst care</li>
</ul></li>
<li>If <em>t</em> is small, predict good care rarely.
<ul>
<li>More errors where we say poor care, but it is actually good care</li>
<li>Detects all patients who might be receiving poor care</li>
</ul></li>
<li>With no preference between the errors, select <span class="math">\(t = 0.5\)</span>.
<ul>
<li>Predicts the more likely outcome</li>
</ul></li>
</ul>
<p>Compare actual outcomes to predicted outcomes using a <em>confusion matrix</em> (<em>classification matrix</em>):</p>
<p><img src="data:image/png;base64,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" alt="confusion matrix" /></p>
<p>This compares the actual outcomes to the predicted outcomes. The rows are labeled with the actual outcome, and the columns are labeled with the predicted outcome. Each entry of the table gives the number of data observations that fall into that category.</p>
<p>These are the two combinations that correspond to correct predictions:</p>
<ul>
<li>The <em>true negatives</em>, or <strong>TN</strong>, is the number of observations that are actually good care and for which we predict good care.</li>
<li>The <em>true positives</em>, or <strong>TP</strong>, is the number of observations that are actually poor care and for which we predict poor care.</li>
</ul>
<p>And two combinations that are <em>bad</em>:</p>
<ul>
<li>The <em>false positives</em>, or <strong>FP</strong>, are the number of data points for which we predict poor care, but they’re actually good care.</li>
<li>The <em>false negatives</em>, or <strong>FN</strong>, are the number of data points for which we predict good care, but they’re actually poor care.</li>
</ul>
<p>A couple of important definitions of outcome measures that help us determine what types of errors we are making:</p>
<ul>
<li><p><strong>sensitivity</strong> = <span class="math">\(\frac{TP}{TP + FN}\)</span></p></li>
<li><p><strong>specificity</strong> = <span class="math">\(\frac{TN}{TN + FP}\)</span></p></li>
</ul>
</div>
</div>
<div id="threshold-vs.sensitivity-specificity" class="section level3">
<h3>Threshold vs. Sensitivity (Specificity)</h3>
<ul>
<li>A model with a higher threshold will have a lower sensitivity and a higher specificity.</li>
<li>A model with a lower threshold will have a higher sensitivity and a lower specificity.</li>
</ul>
<p>Let’s compute some confusion matrices using different threshold values.</p>
<div id="threshold-0.5" class="section level4">
<h4><strong>Threshold = 0.5</strong></h4>
<pre class="sourceCode r"><code class="sourceCode r">tmp <-<span class="st"> </span><span class="kw">table</span>(qualityTrain$PoorCare, predictTrain ><span class="st"> </span><span class="fl">0.5</span>)
tmp
##
## FALSE TRUE
## 0 70 4
## 1 15 10</code></pre>
<ul>
<li>Sensitivity = 10 / 25 = 0.4<br /> Specificity = 70 / 74 = 0.95</li>
</ul>
</div>
<div id="threshold-0.7" class="section level4">
<h4><strong>Threshold = 0.7</strong></h4>
<pre class="sourceCode r"><code class="sourceCode r">tmp <-<span class="st"> </span><span class="kw">table</span>(qualityTrain$PoorCare, predictTrain ><span class="st"> </span><span class="fl">0.7</span>)
tmp
##
## FALSE TRUE
## 0 73 1
## 1 17 8</code></pre>
<ul>
<li><p>Sensitivity = 8 / 25 = 0.32<br /> Specificity = 73 / 74 = 0.99</p></li>
<li><p>By increasing the threshold, our sensitivity went down and our specificity went up.</p></li>
</ul>
</div>
<div id="threshold-0.2" class="section level4">
<h4><strong>Threshold = 0.2</strong></h4>
<pre class="sourceCode r"><code class="sourceCode r">tmp <-<span class="st"> </span><span class="kw">table</span>(qualityTrain$PoorCare, predictTrain ><span class="st"> </span><span class="fl">0.2</span>)
tmp
##
## FALSE TRUE
## 0 54 20
## 1 9 16</code></pre>
<ul>
<li>Sensitivity = 16 / 25 = 0.64<br /> Specificity = 54 / 74 = 0.73<br /></li>
<li>So with the lower threshold, our sensitivity went up, and our specificity went down.</li>
</ul>
<p><strong>But which threshold should we pick?</strong></p>
</div>
</div>
<div id="receiver-operator-characteristic-roc-curve" class="section level3">
<h3>Receiver Operator Characteristic (ROC) Curve</h3>
<p>Picking a good threshold value is often challenging. A <em>Receiver Operator Characteristic</em> curve, or <em>ROC curve</em>, can help you decide which value of the threshold is best.</p>
<p>The ROC curve for our problem is shown below.</p>
<ul>
<li>The sensitivity, or true positive rate of the model, is shown on the y-axis.</li>
<li>The false positive rate, or 1 minus the specificity, is given on the x-axis.</li>
</ul>
<p>The line shows how these two outcome measures vary with different threshold values.</p>
<p>The ROC curve captures all thresholds simultaneously.</p>
<ul>
<li>The higher the threshold, or closer to (0, 0), the higher the specificity and the lower the sensitivity.</li>
<li>The lower the threshold, or closer to (1, 1), the higher the sensitivity and lower the specificity.</li>
</ul>
</div>
<div id="roc-for-our-model" class="section level3">
<h3>ROC for our model</h3>
<pre class="sourceCode r"><code class="sourceCode r"><span class="co"># Prediction function</span>
ROCRpred <-<span class="st"> </span><span class="kw">prediction</span>(predictTrain, qualityTrain$PoorCare)</code></pre>
<p>The <code>ROCRpred()</code> function takes two arguments.</p>
<ul>
<li>The first is the predictions we made with our model, which we called <code>predictTrain</code>.</li>
<li>The second argument is the true outcomes of our data points, which in our case, is <code>qualityTrain$PoorCare</code>.</li>
</ul>
<pre class="sourceCode r"><code class="sourceCode r"><span class="co"># Performance function</span>
ROCRperf <-<span class="st"> </span><span class="kw">performance</span>(ROCRpred, <span class="st">"tpr"</span>, <span class="st">"fpr"</span>)
<span class="co"># Plot ROC curve</span>
<span class="co"># plot(ROCRperf, main = "Receiver Operator Characteristic Curve", lwd = 3)</span>
<span class="co"># Add colors</span>
<span class="co"># plot(ROCRperf, main = "Receiver Operator Characteristic Curve", lwd = 3, colorize = TRUE)</span>
<span class="co"># Add threshold labels </span>
<span class="kw">plot</span>(ROCRperf, <span class="dt">main =</span> <span class="st">"Receiver Operator Characteristic Curve"</span>, <span class="dt">lwd =</span> <span class="dv">3</span>, <span class="dt">colorize =</span> <span class="ot">TRUE</span>,
<span class="dt">print.cutoffs.at=</span><span class="kw">seq</span>(<span class="dv">0</span>,<span class="dv">1</span>,<span class="dt">by=</span><span class="fl">0.1</span>), <span class="dt">text.adj=</span><span class="kw">c</span>(-<span class="fl">0.2</span>,<span class="fl">1.7</span>))</code></pre>
<p><img 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" title alt width="700" style="display: block; margin: auto auto auto 0;" /></p>
<ul>
<li>At the point (0, 0.4), you’re correctly labeling about 40% of the poor care cases with a very small false positive rate.</li>
<li>At the point (0.6, 0.9), you’re correctly labeling about 90% of the poor care cases, but have a false positive rate of 60%.</li>
<li>In the middle, around (0.3, 0.8), you’re correctly labeling about 80% of the poor care cases, with a 30% false positive rate.</li>
</ul>
<div id="so-which-threshold-value-should-you-pick" class="section level4">
<h4><strong>So which threshold value should you pick?</strong></h4>
<p>You should select the best threshold for the trade-off you want to make considering:</p>
<ul>
<li>cost of failing to detect positives</li>
<li>costs of raising false alarms</li>
</ul>
<p>So,</p>
<ul>
<li>If you’re more concerned with having a high specificity or low false positive rate,
<ul>
<li>pick the threshold that maximizes the true positive rate while keeping the false positive rate really low.<br /></li>
<li>A threshold around (0.1, 0.5) on this ROC curve looks like a good choice in this case.</li>
</ul></li>
<li>On the other hand, if you’re more concerned with having a high sensitivity or high true positive rate,
<ul>
<li>pick a threshold that minimizes the false positive rate but has a very high true positive rate.<br /></li>
<li>A threshold around (0.3, 0.8) looks like a good choice in this case.</li>
</ul></li>
</ul>
</div>
</div>
</div>
<div id="interpreting-the-model" class="section level2">
<h2>INTERPRETING THE MODEL</h2>
<p>Let us examine how to interpret the model we developed.</p>
<div id="multicollinearity" class="section level3">
<h3>Multicollinearity</h3>
<p>One of the things we should look after is that there might be what is called <strong>multicollinearity</strong>.<br />Multicollinearity occurs when the various independent variables are correlated, and this might confuse the coefficients (the <em>beta</em>s) in the model.</p>
<p>We can test this by checking the correlations of independent variables. If they are excessively high, this would mean that there might be multicollinearity, and you have to potentially revisit the model,</p>
<p>We should also consider whether or not the signs of the model coefficients make sense. Is the coefficient beta positive or negative?<br />If it agrees with intuition, then multicollinearity has not been a problem, but if intuition suggests a different sign, this might be a sign of multicollinearity.</p>
</div>
<div id="significance-area-under-the-curve-auc" class="section level3">
<h3>Significance (<em>Area Under the Curve</em>, <em>AUC</em>)</h3>
<p>The next important element is <strong>significance</strong>.<br />So how do we interpret the results, and how do we understand whether we have a good model or not?</p>
<p>For that purpose, let’s take a look at what is called <em>Area Under the Curve</em>, or <em>AUC</em> for short. The <em>Area Under the Curve</em> shows an absolute measure of quality of prediction. In this particular case, <strong>77.5%</strong>.<br />Given that the perfect score is 100%, this is like a <em>B</em>.</p>
<p>So the area under the curve gives an absolute measure of quality, and it’s <em>less affected by various benchmarks</em>. It illustrates how accurate the model is on a more absolute sense.</p>
</div>
<div id="other-outcome-measures-confusion-matrix" class="section level3">
<h3>Other Outcome Measures (confusion matrix)</h3>
<p><img 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" alt="confusion matrix" /></p>
</div>
</div>
<div id="making-predictions-out-of-sample" class="section level2">
<h2>Making Predictions Out Of Sample</h2>
<p>Just like in linear regression, we want to make predictions on a test set to compute <em>out-of-sample metrics</em>. We set aside 25% of our data, <em>i.e.</em> 32 cases, as a <em>test set</em>, against which we can compare the predicted outcomes of the model that was trained on the other 75% of the data.</p>
<pre class="sourceCode r"><code class="sourceCode r">predictTest <-<span class="st"> </span><span class="kw">predict</span>(QualityLog, <span class="dt">type =</span> <span class="st">"response"</span>, <span class="dt">newdata =</span> qualityTest)
ROCRpredTest <-<span class="st"> </span><span class="kw">prediction</span>(predictTest, qualityTest$PoorCare)
auc <-<span class="st"> </span><span class="kw">as.numeric</span>(<span class="kw">performance</span>(ROCRpredTest, <span class="st">"auc"</span>)@y.values)</code></pre>
<p>The <em>AUC</em> of this model on the <em>test data</em> is <strong>79.9%</strong>.</p>
<p>If we use a threshold value of 0.3, we get the following <em>confusion matrix</em>:</p>
<pre class="sourceCode r"><code class="sourceCode r">tmp <-<span class="st"> </span><span class="kw">table</span>(qualityTest$PoorCare, predictTest ><span class="st"> </span><span class="fl">0.3</span>)
tmp
##
## FALSE TRUE
## 0 19 5
## 1 2 6</code></pre>
<ul>
<li>Overall Accuracy = 0.78</li>
<li>Sensitivity = 6 / 8 = 0.75 ( = TP rate)</li>
<li>Specificity = 19 / 24 = 0.79</li>
<li>FP rate = 5 / 24 = 0.21</li>
</ul>
<div id="comparison-with-baseline-model" class="section level3">
<h3>Comparison with <em>Baseline Model</em></h3>
<p>The <em>baseline model</em> would predict good care all the time. In that case, we will be correct 24 times, versus 25 times, in our case.<br />But notice that predicting always good care does not capture the dynamics of what is happening, versus the logistic regression model that is far more intelligent in capturing these effects.</p>
</div>
</div>
<div id="conclusions" class="section level2">
<h2>CONCLUSIONS</h2>
<ul>
<li>An expert-trained model can accurately identify diabetics receiving low-quality care
<ul>
<li>Out-of-sample accuracy of 78%.</li>
<li>Identifies most patients receiving poor care</li>
</ul></li>
<li><p>In practice, the probabilities returned by the logistic regression model can be used to prioritize patients for intervention</p></li>
<li><p>Electronic medical records could be used in the future</p></li>
</ul>
<div id="the-competitive-edge-of-models" class="section level3">
<h3>The Competitive Edge of Models</h3>
<ul>
<li>While humans can accurately analyze small amounts of information, models allow larger scalability</li>
<li>Models do not replace expert judgment
<ul>
<li>Experts can improve and refine the model</li>
</ul></li>
<li>Models can integrate assessments of many experts into one final unbiased and unemotional prediction</li>
</ul>
<hr />
</div>
</div>
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