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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="Jag Padala" />
<title>Practical Machine Learning - Prediction Assignment Writeup</title>
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oPEio8DsNzZQqgUMoq0%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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AxNRE0NjMhMhYVERQGIyEiJhkBNDYzITIWFREUBiMhIiYBETQ2MyEyFhURFAYjISImGQE0NjMhMhYVERQGIyEiJh0VAZAVHR0V%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%2B7hbzAVbz8%2F6qGQEsZGTIyMjIZAG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP9mgGQZGRkZGRkZGQA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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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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDIxOyIgZD0iTTEgNjAxbDY1NiA2NDRsNjQ0IC02NDRoLTIwMHYtNjAwaC0zMDB2NDAwaC0zMDB2LTQwMGgtMzAwdjYwMGgtMjAweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwMjI7IiBkPSJNMTAwIDI1djExNTBxMCAxMSA3IDE4dDE4IDdoNDc1di01MDBoNDAwdi02NzVxMCAtMTEgLTcgLTE4dC0xOCAtN2gtODUwcS0xMSAwIC0xOCA3dC03IDE4ek03MDAgODAwdjMwMGwzMDAgLTMwMGgtMzAweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwMjM7IiBkPSJNNCA2MDBxMCAxNjIgODAgMjk5dDIxNyAyMTd0Mjk5IDgwdDI5OSAtODB0MjE3IC0yMTd0ODAgLTI5OXQtODAgLTI5OXQtMjE3IC0yMTd0LTI5OSAtODB0LTI5OSA4MHQtMjE3IDIxN3QtODAgMjk5ek0xODYgNjAwcTAgLTE3MSAxMjEuNSAtMjkyLjV0MjkyLjUgLTEyMS41dDI5Mi41IDEyMS41dDEyMS41IDI5Mi41dC0xMjEuNSAyOTIuNXQtMjkyLjUgMTIxLjV0LTI5Mi41IC0xMjEuNXQtMTIxLjUgLTI5Mi41ek01MDAgNTAwdjQwMGgxMDAgdi0zMDBoMjAwdi0xMDBoLTMwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI0OyIgZD0iTS0xMDAgMGw0MzEgMTIwMGgyMDlsLTIxIC0zMDBoMTYybC0yMCAzMDBoMjA4bDQzMSAtMTIwMGgtNTM4bC00MSA0MDBoLTI0MmwtNDAgLTQwMGgtNTM5ek00ODggNTAwaDIyNGwtMjcgMzAwaC0xNzB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTAyNTsiIGQ9Ik0wIDB2NDAwaDQ5MGwtMjkwIDMwMGgyMDB2NTAwaDMwMHYtNTAwaDIwMGwtMjkwIC0zMDBoNDkwdi00MDBoLTExMDB6TTgxMyAyMDBoMTc1djEwMGgtMTc1di0xMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTAyNjsiIGQ9Ik0xIDYwMHEwIDEyMiA0Ny41IDIzM3QxMjcuNSAxOTF0MTkxIDEyNy41dDIzMyA0Ny41dDIzMyAtNDcuNXQxOTEgLTEyNy41dDEyNy41IC0xOTF0NDcuNSAtMjMzdC00Ny41IC0yMzN0LTEyNy41IC0xOTF0LTE5MSAtMTI3LjV0LTIzMyAtNDcuNXQtMjMzIDQ3LjV0LTE5MSAxMjcuNXQtMTI3LjUgMTkxdC00Ny41IDIzM3pNMTg4IDYwMHEwIC0xNzAgMTIxIC0yOTF0MjkxIC0xMjF0MjkxIDEyMXQxMjEgMjkxdC0xMjEgMjkxdC0yOTEgMTIxIHQtMjkxIC0xMjF0LTEyMSAtMjkxek0zNTAgNjAwaDE1MHYzMDBoMjAwdi0zMDBoMTUwbC0yNTAgLTMwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI3OyIgZD0iTTQgNjAwcTAgMTYyIDgwIDI5OXQyMTcgMjE3dDI5OSA4MHQyOTkgLTgwdDIxNyAtMjE3dDgwIC0yOTl0LTgwIC0yOTl0LTIxNyAtMjE3dC0yOTkgLTgwdC0yOTkgODB0LTIxNyAyMTd0LTgwIDI5OXpNMTg2IDYwMHEwIC0xNzEgMTIxLjUgLTI5Mi41dDI5Mi41IC0xMjEuNXQyOTIuNSAxMjEuNXQxMjEuNSAyOTIuNXQtMTIxLjUgMjkyLjV0LTI5Mi41IDEyMS41dC0yOTIuNSAtMTIxLjV0LTEyMS41IC0yOTIuNXpNMzUwIDYwMGwyNTAgMzAwIGwyNTAgLTMwMGgtMTUwdi0zMDBoLTIwMHYzMDBoLTE1MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI4OyIgZD0iTTAgMjV2NDc1bDIwMCA3MDBoODAwbDE5OSAtNzAwbDEgLTQ3NXEwIC0xMSAtNyAtMTh0LTE4IC03aC0xMTUwcS0xMSAwIC0xOCA3dC03IDE4ek0yMDAgNTAwaDIwMGw1MCAtMjAwaDMwMGw1MCAyMDBoMjAwbC05NyA1MDBoLTYwNnoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI5OyIgZD0iTTQgNjAwcTAgMTYyIDgwIDI5OXQyMTcgMjE3dDI5OSA4MHQyOTkgLTgwdDIxNyAtMjE3dDgwIC0yOTl0LTgwIC0yOTl0LTIxNyAtMjE3dC0yOTkgLTgwdC0yOTkgODB0LTIxNyAyMTd0LTgwIDI5OXpNMTg2IDYwMHEwIC0xNzIgMTIxLjUgLTI5M3QyOTIuNSAtMTIxdDI5Mi41IDEyMXQxMjEuNSAyOTNxMCAxNzEgLTEyMS41IDI5Mi41dC0yOTIuNSAxMjEuNXQtMjkyLjUgLTEyMS41dC0xMjEuNSAtMjkyLjV6TTUwMCAzOTd2NDAxIGwyOTcgLTIwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDMwOyIgZD0iTTIzIDYwMHEwIC0xMTggNDUuNSAtMjI0LjV0MTIzIC0xODR0MTg0IC0xMjN0MjI0LjUgLTQ1LjV0MjI0LjUgNDUuNXQxODQgMTIzdDEyMyAxODR0NDUuNSAyMjQuNWgtMTUwcTAgLTE3NyAtMTI1IC0zMDJ0LTMwMiAtMTI1dC0zMDIgMTI1dC0xMjUgMzAydDEyNSAzMDJ0MzAyIDEyNXExMzYgMCAyNDYgLTgxbC0xNDYgLTE0Nmg0MDB2NDAwbC0xNDUgLTE0NXEtMTU3IDEyMiAtMzU1IDEyMnEtMTE4IDAgLTIyNC41IC00NS41dC0xODQgLTEyMyB0LTEyMyAtMTg0dC00NS41IC0yMjQuNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDMxOyIgZD0iTTIzIDYwMHEwIDExOCA0NS41IDIyNC41dDEyMyAxODR0MTg0IDEyM3QyMjQuNSA0NS41cTE5OCAwIDM1NSAtMTIybDE0NSAxNDV2LTQwMGgtNDAwbDE0NyAxNDdxLTExMiA4MCAtMjQ3IDgwcS0xNzcgMCAtMzAyIC0xMjV0LTEyNSAtMzAyaC0xNTB6TTEwMCAwdjQwMGg0MDBsLTE0NyAtMTQ3cTExMiAtODAgMjQ3IC04MHExNzcgMCAzMDIgMTI1dDEyNSAzMDJoMTUwcTAgLTExOCAtNDUuNSAtMjI0LjV0LTEyMyAtMTg0dC0xODQgLTEyMyB0LTIyNC41IC00NS41cS0xOTggMCAtMzU1IDEyMnoiIC8%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDQyOyIgZD0iTTEgNzAwbDEgNDc1cTAgMTEgNyAxOHQxOCA3aDQ3NGw3MDAgLTcwMGwtNTAwIC01MDB6TTE0OCA5NTNxMCAtNDIgMzAgLTcxcTI5IC0zMCA3MSAtMzB0NzEgMzBxMzAgMjkgMzAgNzF0LTMwIDcxcS0yOSAzMCAtNzEgMzB0LTcxIC0zMHEtMzAgLTI5IC0zMCAtNzF6TTcwMSAxMjAwaDEwMGw3MDAgLTcwMGwtNTAwIC01MDBsLTUwIDUwbDQ1MCA0NTB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA0MzsiIGQ9Ik0xMDAgMHYxMDI1bDE3NSAxNzVoOTI1di0xMDAwbC0xMDAgLTEwMHYxMDAwaC03NTBsLTEwMCAtMTAwaDc1MHYtMTAwMGgtOTAweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwNDQ7IiBkPSJNMjAwIDBsNDUwIDQ0NGw0NTAgLTQ0M3YxMTUwcTAgMjAgLTE0LjUgMzV0LTM1LjUgMTVoLTgwMHEtMjEgMCAtMzUuNSAtMTV0LTE0LjUgLTM1di0xMTUxeiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwNDU7IiBkPSJNMCAxMDB2NzAwaDIwMGwxMDAgLTIwMGg2MDBsMTAwIDIwMGgyMDB2LTcwMGgtMjAwdjIwMGgtODAwdi0yMDBoLTIwMHpNMjUzIDgyOWw0MCAtMTI0aDU5Mmw2MiAxMjRsLTk0IDM0NnEtMiAxMSAtMTAgMTh0LTE4IDdoLTQ1MHEtMTAgMCAtMTggLTd0LTEwIC0xOHpNMjgxIDI0bDM4IDE1MnEyIDEwIDExLjUgMTd0MTkuNSA3aDUwMHExMCAwIDE5LjUgLTd0MTEuNSAtMTdsMzggLTE1MnEyIC0xMCAtMy41IC0xN3QtMTUuNSAtN2gtNjAwIHEtMTAgMCAtMTUuNSA3dC0zLjUgMTd6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA0NjsiIGQ9Ik0wIDIwMHEwIC00MSAyOS41IC03MC41dDcwLjUgLTI5LjVoMTAwMHE0MSAwIDcwLjUgMjkuNXQyOS41IDcwLjV2NjAwcTAgNDEgLTI5LjUgNzAuNXQtNzAuNSAyOS41aC0xNTBxLTQgOCAtMTEuNSAyMS41dC0zMyA0OHQtNTMgNjF0LTY5IDQ4dC04My41IDIxLjVoLTIwMHEtNDEgMCAtODIgLTIwLjV0LTcwIC01MHQtNTIgLTU5dC0zNCAtNTAuNWwtMTIgLTIwaC0xNTBxLTQxIDAgLTcwLjUgLTI5LjV0LTI5LjUgLTcwLjV2LTYwMHogTTM1NiA1MDBxMCAxMDAgNzIgMTcydDE3MiA3MnQxNzIgLTcydDcyIC0xNzJ0LTcyIC0xNzJ0LTE3MiAtNzJ0LTE3MiA3MnQtNzIgMTcyek00OTQgNTAwcTAgLTQ0IDMxIC03NXQ3NSAtMzF0NzUgMzF0MzEgNzV0LTMxIDc1dC03NSAzMXQtNzUgLTMxdC0zMSAtNzV6TTkwMCA3MDB2MTAwaDEwMHYtMTAwaC0xMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA0NzsiIGQ9Ik01MyAwaDM2NXY2NnEtNDEgMCAtNzIgMTF0LTQ5IDM4dDEgNzFsOTIgMjM0aDM5MWw4MiAtMjIycTE2IC00NSAtNS41IC04OC41dC03NC41IC00My41di02Nmg0MTd2NjZxLTM0IDEgLTc0IDQzcS0xOCAxOSAtMzMgNDJ0LTIxIDM3bC02IDEzbC0zODUgOTk4aC05M2wtMzk5IC0xMDA2cS0yNCAtNDggLTUyIC03NXEtMTIgLTEyIC0zMyAtMjV0LTM2IC0yMGwtMTUgLTd2LTY2ek00MTYgNTIxbDE3OCA0NTdsNDYgLTE0MGwxMTYgLTMxN2gtMzQwIHoiIC8%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%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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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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDcxOyIgZD0iTTEzNiA1NTBsNTY0IDU1MHYtNDg3bDUwMCA0ODd2LTExMDBsLTUwMCA0ODh2LTQ4OHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDc4OyIgZD0iTTEwMCAyNTB2MTAwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNWgxMDAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di0xMDBxMCAtMjEgLTE0LjUgLTM1LjV0LTM1LjUgLTE0LjVoLTEwMDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41ek0xMDAgNTAwaDExMDBsLTU1MCA1NjR6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA3OTsiIGQ9Ik0xODUgNTk5bDU5MiAtNTkybDI0MCAyNDBsLTM1MyAzNTNsMzUzIDM1M2wtMjQwIDI0MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDgwOyIgZD0iTTI3MiAxOTRsMzUzIDM1M2wtMzUzIDM1M2wyNDEgMjQwbDU3MiAtNTcxbDIxIC0yMmwtMSAtMXYtMWwtNTkyIC01OTF6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA4MTsiIGQ9Ik0zIDYwMHEwIDE2MiA4MCAyOTkuNXQyMTcuNSAyMTcuNXQyOTkuNSA4MHQyOTkuNSAtODB0MjE3LjUgLTIxNy41dDgwIC0yOTkuNXQtODAgLTI5OS41dC0yMTcuNSAtMjE3LjV0LTI5OS41IC04MHQtMjk5LjUgODB0LTIxNy41IDIxNy41dC04MCAyOTkuNXpNMzAwIDUwMGgyMDB2LTIwMGgyMDB2MjAwaDIwMHYyMDBoLTIwMHYyMDBoLTIwMHYtMjAwaC0yMDB2LTIwMHoiIC8%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDg5OyIgZD0iTTQgNjAwcTAgMTYyIDgwIDI5OXQyMTcgMjE3dDI5OSA4MHQyOTkgLTgwdDIxNyAtMjE3dDgwIC0yOTl0LTgwIC0yOTl0LTIxNyAtMjE3dC0yOTkgLTgwdC0yOTkgODB0LTIxNyAyMTd0LTgwIDI5OXpNMTg2IDYwMHEwIC0xNzEgMTIxLjUgLTI5Mi41dDI5Mi41IC0xMjEuNXQyOTIuNSAxMjEuNXQxMjEuNSAyOTIuNXQtMTIxLjUgMjkyLjV0LTI5Mi41IDEyMS41dC0yOTIuNSAtMTIxLjV0LTEyMS41IC0yOTIuNXpNMzIyIDUzN2wxNDEgMTQxIGw4NyAtODdsMjA0IDIwNWwxNDIgLTE0MmwtMzQ2IC0zNDV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5MDsiIGQ9Ik00IDYwMHEwIDE2MiA4MCAyOTl0MjE3IDIxN3QyOTkgODB0Mjk5IC04MHQyMTcgLTIxN3Q4MCAtMjk5dC04MCAtMjk5dC0yMTcgLTIxN3QtMjk5IC04MHQtMjk5IDgwdC0yMTcgMjE3dC04MCAyOTl6TTE4NiA2MDBxMCAtMTE1IDYyIC0yMTVsNTY4IDU2N3EtMTAwIDYyIC0yMTYgNjJxLTE3MSAwIC0yOTIuNSAtMTIxLjV0LTEyMS41IC0yOTIuNXpNMzkxIDI0NXE5NyAtNTkgMjA5IC01OXExNzEgMCAyOTIuNSAxMjEuNXQxMjEuNSAyOTIuNSBxMCAxMTIgLTU5IDIwOXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDkxOyIgZD0iTTAgNTQ3bDYwMCA0NTN2LTMwMGg2MDB2LTMwMGgtNjAwdi0zMDF6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5MjsiIGQ9Ik0wIDQwMHYzMDBoNjAwdjMwMGw2MDAgLTQ1M2wtNjAwIC00NDh2MzAxaC02MDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5MzsiIGQ9Ik0yMDQgNjAwbDQ1MCA2MDBsNDQ0IC02MDBoLTI5OHYtNjAwaC0zMDB2NjAwaC0yOTZ6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5NDsiIGQ9Ik0xMDQgNjAwaDI5NnY2MDBoMzAwdi02MDBoMjk4bC00NDkgLTYwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDk1OyIgZD0iTTAgMjAwcTYgMTMyIDQxIDIzOC41dDEwMy41IDE5M3QxODQgMTM4dDI3MS41IDU5LjV2MjcxbDYwMCAtNDUzbC02MDAgLTQ0OHYzMDFxLTk1IC0yIC0xODMgLTIwdC0xNzAgLTUydC0xNDcgLTkyLjV0LTEwMCAtMTM1LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5NjsiIGQ9Ik0wIDB2NDAwbDEyOSAtMTI5bDI5NCAyOTRsMTQyIC0xNDJsLTI5NCAtMjk0bDEyOSAtMTI5aC00MDB6TTYzNSA3NzdsMTQyIC0xNDJsMjk0IDI5NGwxMjkgLTEyOXY0MDBoLTQwMGwxMjkgLTEyOXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDk3OyIgZD0iTTM0IDE3NmwyOTUgMjk1bC0xMjkgMTI5aDQwMHYtNDAwbC0xMjkgMTMwbC0yOTUgLTI5NXpNNjAwIDYwMHY0MDBsMTI5IC0xMjlsMjk1IDI5NWwxNDIgLTE0MWwtMjk1IC0yOTVsMTI5IC0xMzBoLTQwMHoiIC8%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTE4OyIgZD0iTTEgMGwzMDAgNzAwaDEyMDBsLTMwMCAtNzAwaC0xMjAwek0xIDQwMHY2MDBoMjAwcTAgNDEgMjkuNSA3MC41dDcwLjUgMjkuNWgzMDBxNDEgMCA3MC41IC0yOS41dDI5LjUgLTcwLjVoNTAwdi0yMDBoLTEwMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTExOTsiIGQ9Ik0zMDIgMzAwaDE5OHY2MDBoLTE5OGwyOTggMzAwbDI5OCAtMzAwaC0xOTh2LTYwMGgxOThsLTI5OCAtMzAweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxMjA7IiBkPSJNMCA2MDBsMzAwIDI5OHYtMTk4aDYwMHYxOThsMzAwIC0yOThsLTMwMCAtMjk3djE5N2gtNjAwdi0xOTd6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEyMTsiIGQ9Ik0wIDEwMHYxMDBxMCA0MSAyOS41IDcwLjV0NzAuNSAyOS41aDEwMDBxNDEgMCA3MC41IC0yOS41dDI5LjUgLTcwLjV2LTEwMHEwIC00MSAtMjkuNSAtNzAuNXQtNzAuNSAtMjkuNWgtMTAwMHEtNDEgMCAtNzAuNSAyOS41dC0yOS41IDcwLjV6TTMxIDQwMGwxNzIgNzM5cTUgMjIgMjMgNDEuNXQzOCAxOS41aDY3MnExOSAwIDM3LjUgLTIyLjV0MjMuNSAtNDUuNWwxNzIgLTczMmgtMTEzOHpNODAwIDEwMGgxMDB2MTAwaC0xMDB2LTEwMHogTTEwMDAgMTAwaDEwMHYxMDBoLTEwMHYtMTAweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxMjI7IiBkPSJNLTEwMSA2MDB2NTBxMCAyNCAyNSA0OXQ1MCAzOGwyNSAxM3YtMjUwbC0xMSA1LjV0LTI0IDE0dC0zMCAyMS41dC0yNCAyNy41dC0xMSAzMS41ek0xMDAgNTAwdjI1MHY4djh2N3QwLjUgN3QxLjUgNS41dDIgNXQzIDR0NC41IDMuNXQ2IDEuNXQ3LjUgMC41aDIwMGw2NzUgMjUwdi04NTBsLTY3NSAyMDBoLTM4bDQ3IC0yNzZxMiAtMTIgLTMgLTE3LjV0LTExIC02dC0yMSAtMC41aC04aC04M3EtMjAgMCAtMzQuNSAxNHQtMTguNSAzNSBxLTU1IDMzNyAtNTUgMzUxek0xMTAwIDIwMHY4NTBxMCAyMSAxNC41IDM1LjV0MzUuNSAxNC41cTIwIDAgMzUgLTE0LjV0MTUgLTM1LjV2LTg1MHEwIC0yMCAtMTUgLTM1dC0zNSAtMTVxLTIxIDAgLTM1LjUgMTV0LTE0LjUgMzV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEyMzsiIGQ9Ik03NCAzNTBxMCAyMSAxMy41IDM1LjV0MzMuNSAxNC41aDE4bDExNyAxNzNsNjMgMzI3cTE1IDc3IDc2IDE0MHQxNDQgODNsLTE4IDMycS02IDE5IDMgMzJ0MjkgMTNoOTRxMjAgMCAyOSAtMTAuNXQzIC0yOS41cS0xOCAtMzYgLTE4IC0zN3E4MyAtMTkgMTQ0IC04Mi41dDc2IC0xNDAuNWw2MyAtMzI3bDExOCAtMTczaDE3cTIwIDAgMzMuNSAtMTQuNXQxMy41IC0zNS41cTAgLTIwIC0xMyAtNDB0LTMxIC0yN3EtOCAtMyAtMjMgLTguNSB0LTY1IC0yMHQtMTAzIC0yNXQtMTMyLjUgLTE5LjV0LTE1OC41IC05cS0xMjUgMCAtMjQ1LjUgMjAuNXQtMTc4LjUgNDAuNWwtNTggMjBxLTE4IDcgLTMxIDI3LjV0LTEzIDQwLjV6TTQ5NyAxMTBxMTIgLTQ5IDQwIC03OS41dDYzIC0zMC41dDYzIDMwLjV0MzkgNzkuNXEtNDggLTYgLTEwMiAtNnQtMTAzIDZ6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEyNDsiIGQ9Ik0yMSA0NDVsMjMzIC00NWwtNzggLTIyNGwyMjQgNzhsNDUgLTIzM2wxNTUgMTc5bDE1NSAtMTc5bDQ1IDIzM2wyMjQgLTc4bC03OCAyMjRsMjM0IDQ1bC0xODAgMTU1bDE4MCAxNTZsLTIzNCA0NGw3OCAyMjVsLTIyNCAtNzhsLTQ1IDIzM2wtMTU1IC0xODBsLTE1NSAxODBsLTQ1IC0yMzNsLTIyNCA3OGw3OCAtMjI1bC0yMzMgLTQ0bDE3OSAtMTU2eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxMjU7IiBkPSJNMCAyMDBoMjAwdjYwMGgtMjAwdi02MDB6TTMwMCAyNzVxMCAtNzUgMTAwIC03NWg2MXExMjQgLTEwMCAxMzkgLTEwMGgyNTBxNDYgMCA4MyA1N2wyMzggMzQ0cTI5IDMxIDI5IDc0djEwMHEwIDQ0IC0zMC41IDg0LjV0LTY5LjUgNDAuNWgtMzI4cTI4IDExOCAyOCAxMjV2MTUwcTAgNDQgLTMwLjUgODQuNXQtNjkuNSA0MC41aC01MHEtMjcgMCAtNTEgLTIwdC0zOCAtNDhsLTk2IC0xOThsLTE0NSAtMTk2cS0yMCAtMjYgLTIwIC02M3YtNDAweiBNNDAwIDMwMHYzNzVsMTUwIDIxM2wxMDAgMjEyaDUwdi0xNzVsLTUwIC0yMjVoNDUwdi0xMjVsLTI1MCAtMzc1aC0yMTRsLTEzNiAxMDBoLTEwMHoiIC8%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%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTQ2OyIgZD0iTTAgMGwzMDMgMzgwbDIwNyAyMDhsLTIxMCAyMTJoMzAwbDI2NyAyNzlsLTM1IDM2cS0xNSAxNCAtMTUgMzV0MTUgMzVxMTQgMTUgMzUgMTV0MzUgLTE1bDI4MyAtMjgycTE1IC0xNSAxNSAtMzZ0LTE1IC0zNXEtMTQgLTE1IC0zNSAtMTV0LTM1IDE1bC0zNiAzNWwtMjc5IC0yNjd2LTMwMGwtMjEyIDIxMGwtMjA4IC0yMDd6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE0ODsiIGQ9Ik0yOTUgNDMzaDEzOXE1IC03NyA0OC41IC0xMjYuNXQxMTcuNSAtNjQuNXYzMzVxLTYgMSAtMTUuNSA0dC0xMS41IDNxLTQ2IDE0IC03OSAyNi41dC03MiAzNnQtNjIuNSA1MnQtNDAgNzIuNXQtMTYuNSA5OXEwIDkyIDQ0IDE1OS41dDEwOSAxMDF0MTQ0IDQwLjV2NzhoMTAwdi03OXEzOCAtNCA3Mi41IC0xMy41dDc1LjUgLTMxLjV0NzEgLTUzLjV0NTEuNSAtODR0MjQuNSAtMTE4LjVoLTE1OXEtOCA3MiAtMzUgMTA5LjV0LTEwMSA1MC41IHYtMzA3bDY0IC0xNHEzNCAtNyA2NCAtMTYuNXQ3MCAtMzEuNXQ2Ny41IC01MnQ0Ny41IC04MC41dDIwIC0xMTIuNXEwIC0xMzkgLTg5IC0yMjR0LTI0NCAtOTZ2LTc3aC0xMDB2NzhxLTE1MiAxNyAtMjM3IDEwNHEtNDAgNDAgLTUyLjUgOTMuNXQtMTUuNSAxMzkuNXpNNDY2IDg4OXEwIC0yOSA4IC01MXQxNi41IC0zNHQyOS41IC0yMi41dDMxIC0xMy41dDM4IC0xMHE3IC0yIDExIC0zdjI3NHEtNjEgLTggLTk3LjUgLTM3LjV0LTM2LjUgLTEwMi41IHpNNzAwIDIzN3ExNzAgMTggMTcwIDE1MXEwIDY0IC00NCA5OS41dC0xMjYgNjAuNXYtMzExeiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxNDk7IiBkPSJNMTAwIDYwMHYxMDBoMTY2cS0yNCA0OSAtNDQgMTA0cS0xMCAyNiAtMTQuNSA1NS41dC0zIDcyLjV0MjUgOTB0NjguNSA4N3E5NyA4OCAyNjMgODhxMTI5IDAgMjMwIC04OXQxMDEgLTIwOGgtMTUzcTAgNTIgLTM0IDg5LjV0LTc0IDUxLjV0LTc2IDE0cS0zNyAwIC03OSAtMTQuNXQtNjIgLTM1LjVxLTQxIC00NCAtNDEgLTEwMXEwIC0yOCAxNi41IC02OS41dDI4IC02Mi41dDQxLjUgLTcyaDI0MXYtMTAwaC0xOTdxOCAtNTAgLTIuNSAtMTE1IHQtMzEuNSAtOTRxLTQxIC01OSAtOTkgLTExM3EzNSAxMSA4NCAxOHQ3MCA3cTMzIDEgMTAzIC0xNnQxMDMgLTE3cTc2IDAgMTM2IDMwbDUwIC0xNDdxLTQxIC0yNSAtODAuNSAtMzYuNXQtNTkgLTEzdC02MS41IC0xLjVxLTIzIDAgLTEyOCAzM3QtMTU1IDI5cS0zOSAtNCAtODIgLTE3dC02NiAtMjVsLTI0IC0xMWwtNTUgMTQ1bDE2LjUgMTF0MTUuNSAxMHQxMy41IDkuNXQxNC41IDEydDE0LjUgMTR0MTcuNSAxOC41cTQ4IDU1IDU0IDEyNi41IHQtMzAgMTQyLjVoLTIyMXoiIC8%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">Practical Machine Learning - Prediction Assignment Writeup</h1>
<h4 class="author"><em>Jag Padala</em></h4>
<h4 class="date"><em>Jun 18, 2015</em></h4>
</div>
<p>In this project we will utilize several machine learning techniques to predict the behavior of users of fitness tracker equipment.</p>
<div id="exploratory-analysis" class="section level2">
<h2>Exploratory Analysis</h2>
<p>Let us do some exploratory analysis to get a basic understanding of the data set</p>
<pre class="r"><code>suppressWarnings(library(ggplot2))
suppressWarnings(library(caret))</code></pre>
<pre><code>## Loading required package: lattice</code></pre>
<pre class="r"><code>setwd("/Users/apadala/Coursera/pml")
traindata <- read.csv("pml-training.csv")
testdata <- read.csv("pml-testing.csv")
set.seed(1234)
inTrainPml <- createDataPartition(y=traindata$classe,p=0.6,list=FALSE)
trainingPml <- traindata[inTrainPml,]
testingPml <- traindata[-inTrainPml,]
summary(trainingPml)</code></pre>
<pre><code>## X user_name raw_timestamp_part_1 raw_timestamp_part_2
## Min. : 2 adelmo :2327 Min. :1.322e+09 Min. : 294
## 1st Qu.: 4936 carlitos:1881 1st Qu.:1.323e+09 1st Qu.:258646
## Median : 9794 charles :2147 Median :1.323e+09 Median :496316
## Mean : 9808 eurico :1878 Mean :1.323e+09 Mean :501632
## 3rd Qu.:14708 jeremy :1985 3rd Qu.:1.323e+09 3rd Qu.:752362
## Max. :19621 pedro :1558 Max. :1.323e+09 Max. :998750
##
## cvtd_timestamp new_window num_window roll_belt
## 5/12/11 11:24 : 904 no :11540 Min. : 1 Min. :-28.90
## 28/11/2011 14:14: 898 yes: 236 1st Qu.:221 1st Qu.: 1.11
## 5/12/11 11:25 : 860 Median :421 Median :114.00
## 30/11/2011 17:11: 857 Mean :430 Mean : 64.50
## 2/12/11 14:57 : 846 3rd Qu.:644 3rd Qu.:123.00
## 5/12/11 14:23 : 828 Max. :864 Max. :162.00
## (Other) :6583
## pitch_belt yaw_belt total_accel_belt kurtosis_roll_belt
## Min. :-55.8000 Min. :-179.00 Min. : 0.00 :11540
## 1st Qu.: 1.8275 1st Qu.: -88.30 1st Qu.: 3.00 #DIV/0! : 8
## Median : 5.2900 Median : -12.60 Median :17.00 -0.01685 : 1
## Mean : 0.3029 Mean : -11.15 Mean :11.32 -0.025513: 1
## 3rd Qu.: 15.0000 3rd Qu.: 13.10 3rd Qu.:18.00 -0.033935: 1
## Max. : 60.3000 Max. : 179.00 Max. :28.00 -0.06016 : 1
## (Other) : 224
## kurtosis_picth_belt kurtosis_yaw_belt skewness_roll_belt
## :11540 :11540 :11540
## #DIV/0! : 23 #DIV/0!: 236 #DIV/0! : 7
## -0.15095 : 3 -0.003095: 1
## -2.060105: 3 -0.010002: 1
## 11.094417: 3 -0.01402 : 1
## -0.684748: 2 -0.015465: 1
## (Other) : 202 (Other) : 225
## skewness_roll_belt.1 skewness_yaw_belt max_roll_belt max_picth_belt
## :11540 :11540 Min. :-94.300 Min. : 3.00
## #DIV/0! : 23 #DIV/0!: 236 1st Qu.:-87.900 1st Qu.: 5.00
## 0 : 4 Median : -4.900 Median :18.00
## -0.189082: 2 Mean : -4.565 Mean :13.34
## -0.587156: 2 3rd Qu.: 19.175 3rd Qu.:19.25
## -1.159179: 2 Max. :177.000 Max. :30.00
## (Other) : 203 NA's :11540 NA's :11540
## max_yaw_belt min_roll_belt min_pitch_belt min_yaw_belt
## :11540 Min. :-94.400 Min. : 0.0 :11540
## -1.2 : 18 1st Qu.:-88.200 1st Qu.: 3.0 -1.2 : 18
## -1.4 : 17 Median : -6.900 Median :17.0 -1.4 : 17
## -1.1 : 15 Mean : -6.504 Mean :11.2 -1.1 : 15
## -1.5 : 15 3rd Qu.: 11.425 3rd Qu.:17.0 -1.5 : 15
## -0.7 : 11 Max. :173.000 Max. :22.0 -0.7 : 11
## (Other): 160 NA's :11540 NA's :11540 (Other): 160
## amplitude_roll_belt amplitude_pitch_belt amplitude_yaw_belt
## Min. : 0.000 Min. : 0.000 :11540
## 1st Qu.: 0.300 1st Qu.: 1.000 #DIV/0!: 8
## Median : 1.000 Median : 1.000 0 : 228
## Mean : 1.939 Mean : 2.144
## 3rd Qu.: 2.000 3rd Qu.: 2.000
## Max. :27.860 Max. :10.000
## NA's :11540 NA's :11540
## var_total_accel_belt avg_roll_belt stddev_roll_belt var_roll_belt
## Min. : 0.000 Min. :-18.80 Min. : 0.000 Min. : 0.000
## 1st Qu.: 0.100 1st Qu.: 1.20 1st Qu.: 0.189 1st Qu.: 0.000
## Median : 0.200 Median :116.90 Median : 0.400 Median : 0.100
## Mean : 0.929 Mean : 71.22 Mean : 1.291 Mean : 7.705
## 3rd Qu.: 0.300 3rd Qu.:124.00 3rd Qu.: 0.616 3rd Qu.: 0.410
## Max. :11.000 Max. :157.40 Max. :14.200 Max. :200.700
## NA's :11540 NA's :11540 NA's :11540 NA's :11540
## avg_pitch_belt stddev_pitch_belt var_pitch_belt avg_yaw_belt
## Min. :-45.300 Min. :0.000 Min. :0.00 Min. :-94.400
## 1st Qu.: 1.725 1st Qu.:0.200 1st Qu.:0.00 1st Qu.:-88.000
## Median : 5.600 Median :0.300 Median :0.10 Median : -5.900
## Mean : 0.919 Mean :0.581 Mean :0.73 Mean : -5.531
## 3rd Qu.: 16.200 3rd Qu.:0.700 3rd Qu.:0.50 3rd Qu.: 16.900
## Max. : 41.000 Max. :3.100 Max. :9.30 Max. :173.400
## NA's :11540 NA's :11540 NA's :11540 NA's :11540
## stddev_yaw_belt var_yaw_belt gyros_belt_x gyros_belt_y
## Min. :0.000 Min. : 0.000 Min. :-1.040000 Min. :-0.64000
## 1st Qu.:0.100 1st Qu.: 0.010 1st Qu.:-0.030000 1st Qu.: 0.00000
## Median :0.300 Median : 0.090 Median : 0.030000 Median : 0.02000
## Mean :0.624 Mean : 1.349 Mean :-0.004883 Mean : 0.03994
## 3rd Qu.:0.600 3rd Qu.: 0.382 3rd Qu.: 0.110000 3rd Qu.: 0.11000
## Max. :8.700 Max. :75.920 Max. : 2.220000 Max. : 0.64000
## NA's :11540 NA's :11540
## gyros_belt_z accel_belt_x accel_belt_y accel_belt_z
## Min. :-1.4600 Min. :-82.000 Min. :-69.00 Min. :-269.00
## 1st Qu.:-0.2000 1st Qu.:-21.000 1st Qu.: 3.00 1st Qu.:-162.00
## Median :-0.1000 Median :-15.000 Median : 35.50 Median :-152.50
## Mean :-0.1313 Mean : -5.609 Mean : 30.21 Mean : -72.79
## 3rd Qu.:-0.0200 3rd Qu.: -5.000 3rd Qu.: 61.00 3rd Qu.: 27.00
## Max. : 1.6200 Max. : 85.000 Max. :109.00 Max. : 105.00
##
## magnet_belt_x magnet_belt_y magnet_belt_z roll_arm
## Min. :-49.00 Min. :360.0 Min. :-621.0 Min. :-180.00
## 1st Qu.: 9.00 1st Qu.:581.0 1st Qu.:-376.0 1st Qu.: -31.12
## Median : 34.00 Median :601.0 Median :-320.0 Median : 0.00
## Mean : 55.34 Mean :593.5 Mean :-346.2 Mean : 18.43
## 3rd Qu.: 59.00 3rd Qu.:610.0 3rd Qu.:-306.0 3rd Qu.: 77.70
## Max. :485.00 Max. :669.0 Max. : 293.0 Max. : 180.00
##
## pitch_arm yaw_arm total_accel_arm var_accel_arm
## Min. :-88.800 Min. :-180.0000 Min. : 1.00 Min. : 0.000
## 1st Qu.:-26.000 1st Qu.: -43.5000 1st Qu.:17.00 1st Qu.: 7.843
## Median : 0.000 Median : 0.0000 Median :26.50 Median : 38.767
## Mean : -4.616 Mean : -0.6392 Mean :25.37 Mean : 51.562
## 3rd Qu.: 11.300 3rd Qu.: 46.0250 3rd Qu.:32.00 3rd Qu.: 77.616
## Max. : 88.500 Max. : 180.0000 Max. :65.00 Max. :253.010
## NA's :11540
## avg_roll_arm stddev_roll_arm var_roll_arm avg_pitch_arm
## Min. :-166.67 Min. : 0.000 Min. : 0.000 Min. :-81.773
## 1st Qu.: -35.54 1st Qu.: 1.210 1st Qu.: 1.464 1st Qu.:-22.433
## Median : 0.00 Median : 5.345 Median : 28.573 Median : 0.000
## Mean : 14.20 Mean : 11.788 Mean : 521.297 Mean : -2.883
## 3rd Qu.: 76.27 3rd Qu.: 14.917 3rd Qu.: 222.528 3rd Qu.: 10.679
## Max. : 160.78 Max. :161.964 Max. :26232.208 Max. : 75.659
## NA's :11540 NA's :11540 NA's :11540 NA's :11540
## stddev_pitch_arm var_pitch_arm avg_yaw_arm stddev_yaw_arm
## Min. : 0.000 Min. : 0.000 Min. :-173.283 Min. : 0.000
## 1st Qu.: 1.675 1st Qu.: 2.806 1st Qu.: -30.917 1st Qu.: 2.734
## Median : 7.945 Median : 63.119 Median : 0.000 Median : 16.256
## Mean :10.376 Mean : 197.892 Mean : 2.264 Mean : 21.366
## 3rd Qu.:16.606 3rd Qu.: 275.762 3rd Qu.: 38.937 3rd Qu.: 33.036
## Max. :43.412 Max. :1884.565 Max. : 152.000 Max. :133.562
## NA's :11540 NA's :11540 NA's :11540 NA's :11540
## var_yaw_arm gyros_arm_x gyros_arm_y gyros_arm_z
## Min. : 0.000 Min. :-6.37000 Min. :-3.440 Min. :-2.3300
## 1st Qu.: 7.487 1st Qu.:-1.35000 1st Qu.:-0.790 1st Qu.:-0.0700
## Median : 264.248 Median : 0.06000 Median :-0.240 Median : 0.2300
## Mean : 891.480 Mean : 0.03313 Mean :-0.252 Mean : 0.2696
## 3rd Qu.: 1091.373 3rd Qu.: 1.57000 3rd Qu.: 0.160 3rd Qu.: 0.7200
## Max. :17838.878 Max. : 4.87000 Max. : 2.840 Max. : 2.2000
## NA's :11540
## accel_arm_x accel_arm_y accel_arm_z magnet_arm_x
## Min. :-404.00 Min. :-318.00 Min. :-630.00 Min. :-584.0
## 1st Qu.:-241.00 1st Qu.: -54.00 1st Qu.:-142.00 1st Qu.:-297.0
## Median : -41.00 Median : 14.00 Median : -47.00 Median : 290.0
## Mean : -59.79 Mean : 32.44 Mean : -70.44 Mean : 194.1
## 3rd Qu.: 84.00 3rd Qu.: 138.00 3rd Qu.: 24.25 3rd Qu.: 640.0
## Max. : 435.00 Max. : 308.00 Max. : 292.00 Max. : 782.0
##
## magnet_arm_y magnet_arm_z kurtosis_roll_arm kurtosis_picth_arm
## Min. :-392.0 Min. :-596.0 :11540 :11540
## 1st Qu.: -12.0 1st Qu.: 133.8 #DIV/0! : 42 #DIV/0! : 44
## Median : 200.0 Median : 446.0 -0.05051: 1 -0.00484: 1
## Mean : 155.4 Mean : 307.3 -0.05695: 1 -0.02967: 1
## 3rd Qu.: 322.0 3rd Qu.: 545.0 -0.09698: 1 -0.07394: 1
## Max. : 583.0 Max. : 694.0 -0.14153: 1 -0.10385: 1
## (Other) : 190 (Other) : 188
## kurtosis_yaw_arm skewness_roll_arm skewness_pitch_arm skewness_yaw_arm
## :11540 :11540 :11540 :11540
## #DIV/0! : 9 #DIV/0! : 41 #DIV/0! : 44 #DIV/0! : 9
## 0.55844 : 2 -0.00696: 1 -0.00184: 1 -0.00562: 1
## -0.01548: 1 -0.03359: 1 -0.01185: 1 -0.04866: 1
## -0.02101: 1 -0.03484: 1 -0.01247: 1 -0.05413: 1
## -0.04059: 1 -0.04254: 1 -0.02063: 1 -0.06077: 1
## (Other) : 222 (Other) : 191 (Other) : 188 (Other) : 223
## max_roll_arm max_picth_arm max_yaw_arm min_roll_arm
## Min. :-73.10 Min. :-173.00 Min. : 4.00 Min. :-88.80
## 1st Qu.: 0.00 1st Qu.: -10.47 1st Qu.:29.00 1st Qu.:-41.75
## Median : 8.15 Median : 19.95 Median :34.00 Median :-21.35
## Mean : 12.92 Mean : 35.96 Mean :35.09 Mean :-19.29
## 3rd Qu.: 29.88 3rd Qu.: 101.00 3rd Qu.:40.00 3rd Qu.: 0.00
## Max. : 85.50 Max. : 180.00 Max. :65.00 Max. : 66.40
## NA's :11540 NA's :11540 NA's :11540 NA's :11540
## min_pitch_arm min_yaw_arm amplitude_roll_arm amplitude_pitch_arm
## Min. :-179.00 Min. : 1.00 Min. : 0.000 Min. : 0.00
## 1st Qu.: -76.72 1st Qu.: 7.75 1st Qu.: 5.475 1st Qu.: 10.28
## Median : -32.95 Median :13.00 Median : 28.150 Median : 53.65
## Mean : -32.18 Mean :14.86 Mean : 32.212 Mean : 68.14
## 3rd Qu.: 0.00 3rd Qu.:19.25 3rd Qu.: 51.080 3rd Qu.:113.83
## Max. : 152.00 Max. :38.00 Max. :118.000 Max. :359.00
## NA's :11540 NA's :11540 NA's :11540 NA's :11540
## amplitude_yaw_arm roll_dumbbell pitch_dumbbell yaw_dumbbell
## Min. : 0.00 Min. :-153.51 Min. :-149.59 Min. :-150.871
## 1st Qu.:10.75 1st Qu.: -18.60 1st Qu.: -39.94 1st Qu.: -77.470
## Median :21.00 Median : 48.17 Median : -20.46 Median : 0.000
## Mean :20.23 Mean : 23.69 Mean : -10.50 Mean : 2.151
## 3rd Qu.:28.00 3rd Qu.: 67.78 3rd Qu.: 17.59 3rd Qu.: 80.414
## Max. :52.00 Max. : 153.55 Max. : 149.40 Max. : 154.952
## NA's :11540
## kurtosis_roll_dumbbell kurtosis_picth_dumbbell kurtosis_yaw_dumbbell
## :11540 :11540 :11540
## #DIV/0!: 4 -0.9334: 2 #DIV/0!: 236
## -2.0851: 2 -2.0851: 2
## -0.0115: 1 -0.0163: 1
## -0.0262: 1 -0.0233: 1
## -0.0334: 1 -0.0322: 1
## (Other): 227 (Other): 229
## skewness_roll_dumbbell skewness_pitch_dumbbell skewness_yaw_dumbbell
## :11540 :11540 :11540
## #DIV/0!: 3 0.109 : 2 #DIV/0!: 236
## 0.111 : 2 -0.0053: 1
## 1.0312 : 2 -0.0084: 1
## -0.0096: 1 -0.0166: 1
## -0.0234: 1 -0.0452: 1
## (Other): 227 (Other): 230
## max_roll_dumbbell max_picth_dumbbell max_yaw_dumbbell min_roll_dumbbell
## Min. :-70.10 Min. :-112.90 :11540 Min. :-123.30
## 1st Qu.:-27.52 1st Qu.: -68.72 -0.6 : 14 1st Qu.: -59.02
## Median : 16.20 Median : 43.30 0.2 : 13 Median : -41.30
## Mean : 12.50 Mean : 33.34 -0.8 : 10 Mean : -38.39
## 3rd Qu.: 48.52 3rd Qu.: 133.35 0 : 10 3rd Qu.: -23.93
## Max. :129.80 Max. : 154.50 -0.3 : 9 Max. : 41.50
## NA's :11540 NA's :11540 (Other): 180 NA's :11540
## min_pitch_dumbbell min_yaw_dumbbell amplitude_roll_dumbbell
## Min. :-146.20 :11540 Min. : 0.00
## 1st Qu.: -92.17 -0.6 : 14 1st Qu.: 13.27
## Median : -60.00 0.2 : 13 Median : 33.19
## Mean : -28.92 -0.8 : 10 Mean : 50.89
## 3rd Qu.: 31.45 0 : 10 3rd Qu.: 74.16
## Max. : 116.60 -0.3 : 9 Max. :232.79
## NA's :11540 (Other): 180 NA's :11540
## amplitude_pitch_dumbbell amplitude_yaw_dumbbell total_accel_dumbbell
## Min. : 0.00 :11540 Min. : 0.00
## 1st Qu.: 16.54 #DIV/0!: 4 1st Qu.: 4.00
## Median : 41.10 0 : 232 Median :10.00
## Mean : 62.26 Mean :13.57
## 3rd Qu.: 93.47 3rd Qu.:19.00
## Max. :263.60 Max. :58.00
## NA's :11540
## var_accel_dumbbell avg_roll_dumbbell stddev_roll_dumbbell
## Min. : 0.000 Min. :-117.02 Min. : 0.00
## 1st Qu.: 0.342 1st Qu.: -9.24 1st Qu.: 4.25
## Median : 0.988 Median : 48.63 Median : 11.72
## Mean : 4.508 Mean : 23.98 Mean : 18.58
## 3rd Qu.: 3.314 3rd Qu.: 63.35 3rd Qu.: 23.62
## Max. :230.428 Max. : 125.99 Max. :123.78
## NA's :11540 NA's :11540 NA's :11540
## var_roll_dumbbell avg_pitch_dumbbell stddev_pitch_dumbbell
## Min. : 0.00 Min. :-70.73 Min. : 0.000
## 1st Qu.: 18.07 1st Qu.:-37.91 1st Qu.: 3.023
## Median : 137.44 Median :-17.05 Median : 7.806
## Mean : 827.05 Mean :-11.91 Mean :12.262
## 3rd Qu.: 557.74 3rd Qu.: 12.97 3rd Qu.:18.209
## Max. :15321.01 Max. : 82.21 Max. :62.881
## NA's :11540 NA's :11540 NA's :11540
## var_pitch_dumbbell avg_yaw_dumbbell stddev_yaw_dumbbell
## Min. : 0.00 Min. :-117.950 Min. : 0.000
## 1st Qu.: 9.14 1st Qu.: -77.008 1st Qu.: 3.461
## Median : 60.94 Median : 11.368 Median : 9.467
## Mean : 299.03 Mean : 2.387 Mean : 15.981
## 3rd Qu.: 331.57 3rd Qu.: 75.471 3rd Qu.: 22.805
## Max. :3953.97 Max. : 134.905 Max. :107.088
## NA's :11540 NA's :11540 NA's :11540
## var_yaw_dumbbell gyros_dumbbell_x gyros_dumbbell_y
## Min. : 0.00 Min. :-204.0000 Min. :-2.10000
## 1st Qu.: 11.98 1st Qu.: -0.0300 1st Qu.:-0.14000
## Median : 89.62 Median : 0.1300 Median : 0.03000
## Mean : 573.49 Mean : 0.1536 Mean : 0.04977
## 3rd Qu.: 520.13 3rd Qu.: 0.3500 3rd Qu.: 0.21000
## Max. :11467.91 Max. : 2.2200 Max. :52.00000
## NA's :11540
## gyros_dumbbell_z accel_dumbbell_x accel_dumbbell_y accel_dumbbell_z
## Min. : -2.3000 Min. :-419.00 Min. :-189.00 Min. :-319.00
## 1st Qu.: -0.3100 1st Qu.: -50.00 1st Qu.: -8.00 1st Qu.:-141.00
## Median : -0.1300 Median : -8.00 Median : 39.00 Median : 0.00
## Mean : -0.1194 Mean : -27.83 Mean : 51.94 Mean : -37.18
## 3rd Qu.: 0.0300 3rd Qu.: 11.00 3rd Qu.: 109.00 3rd Qu.: 38.00
## Max. :317.0000 Max. : 235.00 Max. : 310.00 Max. : 318.00
##
## magnet_dumbbell_x magnet_dumbbell_y magnet_dumbbell_z roll_forearm
## Min. :-639.0 Min. :-3600.0 Min. :-249.00 Min. :-180.000
## 1st Qu.:-535.0 1st Qu.: 231.0 1st Qu.: -45.00 1st Qu.: -0.905
## Median :-478.0 Median : 311.0 Median : 13.00 Median : 21.500
## Mean :-328.5 Mean : 221.6 Mean : 46.41 Mean : 34.167
## 3rd Qu.:-304.0 3rd Qu.: 391.0 3rd Qu.: 96.00 3rd Qu.: 140.000
## Max. : 592.0 Max. : 632.0 Max. : 447.00 Max. : 180.000
##
## pitch_forearm yaw_forearm kurtosis_roll_forearm
## Min. :-72.50 Min. :-180.00 :11540
## 1st Qu.: 0.00 1st Qu.: -69.30 #DIV/0!: 51
## Median : 9.48 Median : 0.00 -0.8079: 2
## Mean : 10.95 Mean : 18.45 -0.0359: 1
## 3rd Qu.: 28.80 3rd Qu.: 110.00 -0.0781: 1
## Max. : 88.70 Max. : 180.00 -0.1363: 1
## (Other): 180
## kurtosis_picth_forearm kurtosis_yaw_forearm skewness_roll_forearm
## :11540 :11540 :11540
## #DIV/0!: 52 #DIV/0!: 236 #DIV/0!: 50
## -0.0442: 1 -0.1912: 2
## -0.0523: 1 -0.0063: 1
## -0.092 : 1 -0.011 : 1
## -0.1002: 1 -0.0237: 1
## (Other): 180 (Other): 181
## skewness_pitch_forearm skewness_yaw_forearm max_roll_forearm
## :11540 :11540 Min. :-66.60
## #DIV/0!: 52 #DIV/0!: 236 1st Qu.: 0.00
## 0 : 2 Median : 26.15
## -0.0131: 1 Mean : 24.12
## -0.0405: 1 3rd Qu.: 45.35
## -0.0599: 1 Max. : 89.80
## (Other): 179 NA's :11540
## max_picth_forearm max_yaw_forearm min_roll_forearm min_pitch_forearm
## Min. :-151.00 :11540 Min. :-72.500 Min. :-180.00
## 1st Qu.: 0.00 #DIV/0!: 51 1st Qu.: -3.700 1st Qu.:-175.00
## Median : 112.50 -1.3 : 19 Median : 0.000 Median : -48.40
## Mean : 80.25 -1.2 : 18 Mean : -0.312 Mean : -56.95
## 3rd Qu.: 175.00 -1.4 : 14 3rd Qu.: 12.650 3rd Qu.: 0.00
## Max. : 180.00 -1.6 : 13 Max. : 62.100 Max. : 164.00
## NA's :11540 (Other): 121 NA's :11540 NA's :11540
## min_yaw_forearm amplitude_roll_forearm amplitude_pitch_forearm
## :11540 Min. : 0.000 Min. : 0.0
## #DIV/0!: 51 1st Qu.: 1.028 1st Qu.: 1.0
## -1.3 : 19 Median : 15.970 Median : 83.7
## -1.2 : 18 Mean : 24.429 Mean :137.2
## -1.4 : 14 3rd Qu.: 39.403 3rd Qu.:349.2
## -1.6 : 13 Max. :120.300 Max. :360.0
## (Other): 121 NA's :11540 NA's :11540
## amplitude_yaw_forearm total_accel_forearm var_accel_forearm
## :11540 Min. : 0.00 Min. : 0.000
## #DIV/0!: 51 1st Qu.: 29.00 1st Qu.: 6.974
## 0 : 185 Median : 36.00 Median : 18.898
## Mean : 34.72 Mean : 30.676
## 3rd Qu.: 41.00 3rd Qu.: 47.601
## Max. :108.00 Max. :158.816
## NA's :11540
## avg_roll_forearm stddev_roll_forearm var_roll_forearm
## Min. :-177.13 Min. : 0.000 Min. : 0.00
## 1st Qu.: 0.00 1st Qu.: 0.339 1st Qu.: 0.11
## Median : 14.36 Median : 6.972 Median : 48.66
## Mean : 36.54 Mean : 42.380 Mean : 5366.19
## 3rd Qu.: 106.12 3rd Qu.: 93.055 3rd Qu.: 8660.85
## Max. : 177.26 Max. :179.171 Max. :32102.24
## NA's :11540 NA's :11540 NA's :11540
## avg_pitch_forearm stddev_pitch_forearm var_pitch_forearm
## Min. :-68.17 Min. : 0.000 Min. : 0.000
## 1st Qu.: 0.00 1st Qu.: 0.281 1st Qu.: 0.079
## Median : 12.10 Median : 4.770 Median : 22.756
## Mean : 11.75 Mean : 7.918 Mean : 141.664
## 3rd Qu.: 30.48 3rd Qu.:12.877 3rd Qu.: 165.822
## Max. : 72.09 Max. :39.561 Max. :1565.055
## NA's :11540 NA's :11540 NA's :11540
## avg_yaw_forearm stddev_yaw_forearm var_yaw_forearm
## Min. :-153.08 Min. : 0.00 Min. : 0.00
## 1st Qu.: -14.24 1st Qu.: 0.49 1st Qu.: 0.24
## Median : 0.00 Median : 25.40 Median : 645.57
## Mean : 18.98 Mean : 46.00 Mean : 4957.98
## 3rd Qu.: 85.54 3rd Qu.: 89.03 3rd Qu.: 7929.03
## Max. : 167.33 Max. :197.51 Max. :39009.33
## NA's :11540 NA's :11540 NA's :11540
## gyros_forearm_x gyros_forearm_y gyros_forearm_z
## Min. :-22.0000 Min. : -7.02000 Min. : -8.0900
## 1st Qu.: -0.2200 1st Qu.: -1.49000 1st Qu.: -0.1800
## Median : 0.0500 Median : 0.03000 Median : 0.0800
## Mean : 0.1522 Mean : 0.08676 Mean : 0.1613
## 3rd Qu.: 0.5600 3rd Qu.: 1.64000 3rd Qu.: 0.4900
## Max. : 3.5200 Max. :311.00000 Max. :231.0000
##
## accel_forearm_x accel_forearm_y accel_forearm_z magnet_forearm_x
## Min. :-498.00 Min. :-595.0 Min. :-446.00 Min. :-1280.0
## 1st Qu.:-179.00 1st Qu.: 57.0 1st Qu.:-181.00 1st Qu.: -618.0
## Median : -57.00 Median : 201.0 Median : -36.00 Median : -387.5
## Mean : -63.01 Mean : 163.8 Mean : -53.56 Mean : -313.9
## 3rd Qu.: 76.00 3rd Qu.: 312.0 3rd Qu.: 27.00 3rd Qu.: -75.0
## Max. : 359.00 Max. : 923.0 Max. : 285.00 Max. : 672.0
##
## magnet_forearm_y magnet_forearm_z classe
## Min. :-896.0 Min. :-973 A:3348
## 1st Qu.: -1.0 1st Qu.: 185 B:2279
## Median : 587.0 Median : 507 C:2054
## Mean : 378.7 Mean : 391 D:1930
## 3rd Qu.: 736.0 3rd Qu.: 652 E:2165
## Max. :1450.0 Max. :1090
## </code></pre>
<p>We loaded the data and created a training and test dataset. From the summary we can see that there are 159 predictors in the data for predicting the value of the classe. We can see that classe is a categorical variable with 5 possible results.</p>
<p>We can also see that we have measured the movements for 6 users over a period of time. The timestamp for the measurements and the window of the measurements are recorded. Since the users were instructed to deliberately perform some good and some bad repitions we need to make sure there is no target leakage by including measurements such as window and timestamp that would ovefit our model and lead to incorrect predictions.</p>
<p>We then need to start looking at various other measurements that were taken.</p>
<div id="data-clean-up" class="section level3">
<h3>DATA CLEAN UP</h3>
<p>The first observation that pops up on closer inspection of the summary is the number of columns that seem to have a number of NA values. This means that the sensors for measuring these variables are not accurate/reliable. For example kurtosis_roll_belt has a total of 11518 measurements that were empty out of the set of 11776 measurements. So this cannot be used for an meaningful prediction. kurtosis_picth_belt kurtosis_yaw_belt skewness_roll_belt and skewness_yaw_belt. We also notice another pattern in variables like max_roll_belt max_yaw_belt min_roll_belt min_yaw_belt amplitude_yaw_belt amplitude_pitch_belt where a number of measurements are NA. Infact these predictors just have NA instead of empty values in 11518 cases. All of these predictors need to be removed so we can get some accurate predictions.</p>
<pre class="r"><code>trainingPmlNonNACols <- trainingPml[c("roll_belt","pitch_belt","yaw_belt","total_accel_belt","gyros_belt_x","gyros_belt_y","gyros_belt_z","accel_belt_x","accel_belt_y","accel_belt_z","magnet_belt_x","magnet_belt_y","magnet_belt_z","roll_arm","pitch_arm","yaw_arm","total_accel_arm","gyros_arm_x","gyros_arm_y","gyros_arm_z","accel_arm_x","accel_arm_y","accel_arm_z","magnet_arm_x","magnet_arm_y","magnet_arm_z","roll_dumbbell","pitch_dumbbell","yaw_dumbbell","total_accel_dumbbell","gyros_dumbbell_x","gyros_dumbbell_y","gyros_dumbbell_z","accel_dumbbell_x","accel_dumbbell_y","accel_dumbbell_z","magnet_dumbbell_x","magnet_dumbbell_y","magnet_dumbbell_z","roll_forearm","pitch_forearm","yaw_forearm","total_accel_forearm","gyros_forearm_x","gyros_forearm_y","gyros_forearm_z","accel_forearm_x","accel_forearm_y","accel_forearm_z","magnet_forearm_x","magnet_forearm_y","magnet_forearm_z","classe")]
testingPmlNonNACols <- testingPml[c("roll_belt","pitch_belt","yaw_belt","total_accel_belt","gyros_belt_x","gyros_belt_y","gyros_belt_z","accel_belt_x","accel_belt_y","accel_belt_z","magnet_belt_x","magnet_belt_y","magnet_belt_z","roll_arm","pitch_arm","yaw_arm","total_accel_arm","gyros_arm_x","gyros_arm_y","gyros_arm_z","accel_arm_x","accel_arm_y","accel_arm_z","magnet_arm_x","magnet_arm_y","magnet_arm_z","roll_dumbbell","pitch_dumbbell","yaw_dumbbell","total_accel_dumbbell","gyros_dumbbell_x","gyros_dumbbell_y","gyros_dumbbell_z","accel_dumbbell_x","accel_dumbbell_y","accel_dumbbell_z","magnet_dumbbell_x","magnet_dumbbell_y","magnet_dumbbell_z","roll_forearm","pitch_forearm","yaw_forearm","total_accel_forearm","gyros_forearm_x","gyros_forearm_y","gyros_forearm_z","accel_forearm_x","accel_forearm_y","accel_forearm_z","magnet_forearm_x","magnet_forearm_y","magnet_forearm_z","classe")]</code></pre>
<p>Now that we have cleaned up the data we can start fitting various models and see how the models perform</p>
</div>
<div id="model-training-1" class="section level3">
<h3>Model Training 1</h3>
<p>Trees : We will first fit a tree model using the rpart package in caret. We will analyze the accuracy of the prediction for the model</p>
<pre class="r"><code> modfitRpart <- train(classe ~.,method="rpart",data=trainingPmlNonNACols)</code></pre>
<pre><code>## Loading required package: rpart</code></pre>
<pre class="r"><code> modfitRpart$finalModel</code></pre>
<pre><code>## n= 11776
##
## node), split, n, loss, yval, (yprob)
## * denotes terminal node
##
## 1) root 11776 8428 A (0.28 0.19 0.17 0.16 0.18)
## 2) roll_belt< 130.5 10774 7436 A (0.31 0.21 0.19 0.18 0.11)
## 4) pitch_forearm< -34.55 919 2 A (1 0.0022 0 0 0) *
## 5) pitch_forearm>=-34.55 9855 7434 A (0.25 0.23 0.21 0.2 0.12)
## 10) magnet_dumbbell_y< 436.5 8314 5944 A (0.29 0.18 0.24 0.19 0.11)
## 20) roll_forearm< 122.5 5137 3022 A (0.41 0.18 0.18 0.17 0.061) *
## 21) roll_forearm>=122.5 3177 2124 C (0.08 0.18 0.33 0.23 0.18) *
## 11) magnet_dumbbell_y>=436.5 1541 743 B (0.033 0.52 0.039 0.23 0.18) *
## 3) roll_belt>=130.5 1002 10 E (0.01 0 0 0 0.99) *</code></pre>
<pre class="r"><code> library(rattle)</code></pre>
<pre><code>## Rattle: A free graphical interface for data mining with R.
## Version 3.4.1 Copyright (c) 2006-2014 Togaware Pty Ltd.
## Type 'rattle()' to shake, rattle, and roll your data.</code></pre>
<pre class="r"><code> fancyRpartPlot(modfitRpart$finalModel)</code></pre>
<p><img 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" title alt width="672" /></p>
<pre class="r"><code> modfitRpart</code></pre>
<pre><code>## CART
##
## 11776 samples
## 52 predictor
## 5 classes: 'A', 'B', 'C', 'D', 'E'
##
## No pre-processing
## Resampling: Bootstrapped (25 reps)
##
## Summary of sample sizes: 11776, 11776, 11776, 11776, 11776, 11776, ...
##
## Resampling results across tuning parameters:
##
## cp Accuracy Kappa Accuracy SD Kappa SD
## 0.03618889 0.5232124 0.38448962 0.02470143 0.03890642
## 0.06110584 0.4018777 0.18592797 0.06028161 0.09852178
## 0.11651637 0.3320531 0.07413223 0.04188912 0.06186040
##
## Accuracy was used to select the optimal model using the largest value.
## The final value used for the model was cp = 0.03618889.</code></pre>
<p>As we can see the accuracy is pretty poor. However the model does give us some insight into some of the significant variables such as roll_belt, pitch_forearm, magnet_dumbbell_y and roll_forearm that seem to have a higher relevance to predict the outcome for classe.</p>
<p>Since the accuracy of predictions is only 52% the our of sample error rate would be unacceptable.</p>
</div>
<div id="model-training-2" class="section level3">
<h3>Model Training 2</h3>
<p>The next model we will try out is the random forest. This may be a better choice for this kind of data since random forest models are good for data with a large number of variables. It estimates the variables that are important so we can get a fairly accurate idea of the variables used for the end result</p>
<pre class="r"><code>modfitRforest <- train(classe ~.,method="rf",data=trainingPmlNonNACols)</code></pre>
<pre><code>## Loading required package: randomForest
## randomForest 4.6-10
## Type rfNews() to see new features/changes/bug fixes.</code></pre>
<pre class="r"><code>print(modfitRforest)</code></pre>
<pre><code>## Random Forest
##
## 11776 samples
## 52 predictor
## 5 classes: 'A', 'B', 'C', 'D', 'E'
##
## No pre-processing
## Resampling: Bootstrapped (25 reps)
##
## Summary of sample sizes: 11776, 11776, 11776, 11776, 11776, 11776, ...
##
## Resampling results across tuning parameters:
##
## mtry Accuracy Kappa Accuracy SD Kappa SD
## 2 0.9870336 0.9835895 0.001655951 0.002103040
## 27 0.9868318 0.9833367 0.001919397 0.002427099
## 52 0.9787137 0.9730624 0.005580349 0.007067277
##
## Accuracy was used to select the optimal model using the largest value.
## The final value used for the model was mtry = 2.</code></pre>
<pre class="r"><code>print(modfitRforest$finalModel)</code></pre>
<pre><code>##
## Call:
## randomForest(x = x, y = y, mtry = param$mtry)
## Type of random forest: classification
## Number of trees: 500
## No. of variables tried at each split: 2
##
## OOB estimate of error rate: 0.87%
## Confusion matrix:
## A B C D E class.error
## A 3343 2 0 2 1 0.001493429
## B 21 2252 6 0 0 0.011847301
## C 0 20 2028 6 0 0.012658228
## D 0 0 34 1894 2 0.018652850
## E 0 1 2 6 2156 0.004157044</code></pre>
<pre class="r"><code>varImp(modfitRforest)</code></pre>
<pre><code>## rf variable importance
##
## only 20 most important variables shown (out of 52)
##
## Overall
## roll_belt 100.00
## yaw_belt 83.40
## magnet_dumbbell_z 69.36
## magnet_dumbbell_y 66.25
## pitch_belt 61.15
## pitch_forearm 59.75
## magnet_dumbbell_x 55.72
## roll_forearm 51.97
## magnet_belt_z 48.42
## accel_belt_z 48.28
## roll_dumbbell 43.96
## accel_dumbbell_y 42.59
## magnet_belt_y 42.27
## accel_dumbbell_z 39.35
## roll_arm 35.14
## accel_forearm_x 31.29
## yaw_dumbbell 30.36
## total_accel_dumbbell 29.57
## accel_dumbbell_x 28.94
## magnet_forearm_z 28.08</code></pre>
</div>
<div id="description-of-the-sample-error-and-estimation-of-the-error-with-cross-validation" class="section level3">
<h3>Description of the sample error and estimation of the error with cross validation</h3>
<p>As we can see the accuracy of the model fit is pretty high at 98.7% with the internal test data that random forest uses within the 60% of data we provided for the model. The out of box error rate is estimated at .87%. The number of trees used were 500 with optimal mtry at 2.</p>
<p>We now test the model against the 40% of the original data that we resreved to be test data.</p>
<pre class="r"><code> confusionMatrix(testingPmlNonNACols$classe,predict(modfitRforest,testingPmlNonNACols))</code></pre>
<pre><code>## Confusion Matrix and Statistics
##
## Reference
## Prediction A B C D E
## A 2231 1 0 0 0
## B 10 1506 2 0 0
## C 0 12 1352 4 0
## D 0 0 30 1255 1
## E 0 0 2 3 1437
##
## Overall Statistics
##
## Accuracy : 0.9917
## 95% CI : (0.9895, 0.9936)
## No Information Rate : 0.2856
## P-Value [Acc > NIR] : < 2.2e-16
##
## Kappa : 0.9895
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: A Class: B Class: C Class: D Class: E
## Sensitivity 0.9955 0.9914 0.9755 0.9945 0.9993
## Specificity 0.9998 0.9981 0.9975 0.9953 0.9992
## Pos Pred Value 0.9996 0.9921 0.9883 0.9759 0.9965
## Neg Pred Value 0.9982 0.9979 0.9948 0.9989 0.9998
## Prevalence 0.2856 0.1936 0.1767 0.1608 0.1833
## Detection Rate 0.2843 0.1919 0.1723 0.1600 0.1832
## Detection Prevalence 0.2845 0.1935 0.1744 0.1639 0.1838
## Balanced Accuracy 0.9977 0.9948 0.9865 0.9949 0.9993</code></pre>
<p>The tests show an accuracy of 99.17 with a 95% confidence interval between 98.9% to 99.36 %. Based on this the estimated sample error rate is 0.83% which is slighty better than the out of box error estimated by using the training data set.</p>
<p>Predictions for the Coursera Test data</p>
<p>Once the models are complete we run the tests against the test data set provided by Coursera</p>
<pre class="r"><code>testPmlNonNACols <- testdata[c("roll_belt","pitch_belt","yaw_belt","total_accel_belt","gyros_belt_x","gyros_belt_y","gyros_belt_z","accel_belt_x","accel_belt_y","accel_belt_z","magnet_belt_x","magnet_belt_y","magnet_belt_z","roll_arm","pitch_arm","yaw_arm","total_accel_arm","gyros_arm_x","gyros_arm_y","gyros_arm_z","accel_arm_x","accel_arm_y","accel_arm_z","magnet_arm_x","magnet_arm_y","magnet_arm_z","roll_dumbbell","pitch_dumbbell","yaw_dumbbell","total_accel_dumbbell","gyros_dumbbell_x","gyros_dumbbell_y","gyros_dumbbell_z","accel_dumbbell_x","accel_dumbbell_y","accel_dumbbell_z","magnet_dumbbell_x","magnet_dumbbell_y","magnet_dumbbell_z","roll_forearm","pitch_forearm","yaw_forearm","total_accel_forearm","gyros_forearm_x","gyros_forearm_y","gyros_forearm_z","accel_forearm_x","accel_forearm_y","accel_forearm_z","magnet_forearm_x","magnet_forearm_y","magnet_forearm_z")]
courseraTestResults <- predict( modfitRforest,testPmlNonNACols)
courseraTestResults </code></pre>
<pre><code>## [1] B A B A A E D B A A B C B A E E A B B B
## Levels: A B C D E</code></pre>
</div>
<div id="final-results-for-the-random-forest-model" class="section level3">
<h3>Final results for the random forest model</h3>
<p>We expect close to a 100% match since the accuracy expected is over 99.5%. In actual comparison the model performed at 100% and correctly predicted all the Coursera testcases.</p>
</div>
<div id="fine-tuning-the-random-forest" class="section level3">
<h3>Fine tuning the random forest</h3>
<p>Randon forest does not need any additional cross validation but it is possible to fine tune training model by using a k fold cross validation for the data. Since this is more computing intensive the original sample traning data did not execute on the current hardware within a reasonable amount of time (60 minutes). So I created a smaller sample size to pass to the trainer.</p>
<pre class="r"><code>set.seed(1234)
inTrainPml10 <- createDataPartition(y=traindata$classe,p=0.3,list=FALSE)
trainingPml10 <- traindata[inTrainPml10,]
testingPml10 <- traindata[-inTrainPml10,]
trainingPmlNonNACols10 <- trainingPml10[c("roll_belt","pitch_belt","yaw_belt","total_accel_belt","gyros_belt_x","gyros_belt_y","gyros_belt_z","accel_belt_x","accel_belt_y","accel_belt_z","magnet_belt_x","magnet_belt_y","magnet_belt_z","roll_arm","pitch_arm","yaw_arm","total_accel_arm","gyros_arm_x","gyros_arm_y","gyros_arm_z","accel_arm_x","accel_arm_y","accel_arm_z","magnet_arm_x","magnet_arm_y","magnet_arm_z","roll_dumbbell","pitch_dumbbell","yaw_dumbbell","total_accel_dumbbell","gyros_dumbbell_x","gyros_dumbbell_y","gyros_dumbbell_z","accel_dumbbell_x","accel_dumbbell_y","accel_dumbbell_z","magnet_dumbbell_x","magnet_dumbbell_y","magnet_dumbbell_z","roll_forearm","pitch_forearm","yaw_forearm","total_accel_forearm","gyros_forearm_x","gyros_forearm_y","gyros_forearm_z","accel_forearm_x","accel_forearm_y","accel_forearm_z","magnet_forearm_x","magnet_forearm_y","magnet_forearm_z","classe")]
testingPmlNonNACols10 <- testingPml10[c("roll_belt","pitch_belt","yaw_belt","total_accel_belt","gyros_belt_x","gyros_belt_y","gyros_belt_z","accel_belt_x","accel_belt_y","accel_belt_z","magnet_belt_x","magnet_belt_y","magnet_belt_z","roll_arm","pitch_arm","yaw_arm","total_accel_arm","gyros_arm_x","gyros_arm_y","gyros_arm_z","accel_arm_x","accel_arm_y","accel_arm_z","magnet_arm_x","magnet_arm_y","magnet_arm_z","roll_dumbbell","pitch_dumbbell","yaw_dumbbell","total_accel_dumbbell","gyros_dumbbell_x","gyros_dumbbell_y","gyros_dumbbell_z","accel_dumbbell_x","accel_dumbbell_y","accel_dumbbell_z","magnet_dumbbell_x","magnet_dumbbell_y","magnet_dumbbell_z","roll_forearm","pitch_forearm","yaw_forearm","total_accel_forearm","gyros_forearm_x","gyros_forearm_y","gyros_forearm_z","accel_forearm_x","accel_forearm_y","accel_forearm_z","magnet_forearm_x","magnet_forearm_y","magnet_forearm_z","classe")]
testPmlNonNACols <- testdata[c("roll_belt","pitch_belt","yaw_belt","total_accel_belt","gyros_belt_x","gyros_belt_y","gyros_belt_z","accel_belt_x","accel_belt_y","accel_belt_z","magnet_belt_x","magnet_belt_y","magnet_belt_z","roll_arm","pitch_arm","yaw_arm","total_accel_arm","gyros_arm_x","gyros_arm_y","gyros_arm_z","accel_arm_x","accel_arm_y","accel_arm_z","magnet_arm_x","magnet_arm_y","magnet_arm_z","roll_dumbbell","pitch_dumbbell","yaw_dumbbell","total_accel_dumbbell","gyros_dumbbell_x","gyros_dumbbell_y","gyros_dumbbell_z","accel_dumbbell_x","accel_dumbbell_y","accel_dumbbell_z","magnet_dumbbell_x","magnet_dumbbell_y","magnet_dumbbell_z","roll_forearm","pitch_forearm","yaw_forearm","total_accel_forearm","gyros_forearm_x","gyros_forearm_y","gyros_forearm_z","accel_forearm_x","accel_forearm_y","accel_forearm_z","magnet_forearm_x","magnet_forearm_y","magnet_forearm_z")]
modfitRforest10 <- train(classe ~.,method="rf",data=trainingPmlNonNACols10,
trControl=trainControl(method="cv",number=10, repeats=2, verboseIter = TRUE), prox=TRUE)</code></pre>
<pre><code>## + Fold01: mtry= 2
## - Fold01: mtry= 2
## + Fold01: mtry=27
## - Fold01: mtry=27
## + Fold01: mtry=52
## - Fold01: mtry=52
## + Fold02: mtry= 2
## - Fold02: mtry= 2
## + Fold02: mtry=27
## - Fold02: mtry=27
## + Fold02: mtry=52
## - Fold02: mtry=52
## + Fold03: mtry= 2
## - Fold03: mtry= 2
## + Fold03: mtry=27
## - Fold03: mtry=27
## + Fold03: mtry=52
## - Fold03: mtry=52
## + Fold04: mtry= 2
## - Fold04: mtry= 2
## + Fold04: mtry=27
## - Fold04: mtry=27
## + Fold04: mtry=52
## - Fold04: mtry=52
## + Fold05: mtry= 2
## - Fold05: mtry= 2
## + Fold05: mtry=27
## - Fold05: mtry=27
## + Fold05: mtry=52
## - Fold05: mtry=52
## + Fold06: mtry= 2
## - Fold06: mtry= 2
## + Fold06: mtry=27
## - Fold06: mtry=27
## + Fold06: mtry=52
## - Fold06: mtry=52
## + Fold07: mtry= 2
## - Fold07: mtry= 2
## + Fold07: mtry=27
## - Fold07: mtry=27
## + Fold07: mtry=52
## - Fold07: mtry=52
## + Fold08: mtry= 2
## - Fold08: mtry= 2
## + Fold08: mtry=27
## - Fold08: mtry=27
## + Fold08: mtry=52
## - Fold08: mtry=52
## + Fold09: mtry= 2
## - Fold09: mtry= 2
## + Fold09: mtry=27
## - Fold09: mtry=27
## + Fold09: mtry=52
## - Fold09: mtry=52
## + Fold10: mtry= 2
## - Fold10: mtry= 2
## + Fold10: mtry=27
## - Fold10: mtry=27
## + Fold10: mtry=52
## - Fold10: mtry=52
## Aggregating results
## Selecting tuning parameters
## Fitting mtry = 27 on full training set</code></pre>
<pre class="r"><code>print(modfitRforest10)</code></pre>
<pre><code>## Random Forest
##
## 5889 samples
## 52 predictor
## 5 classes: 'A', 'B', 'C', 'D', 'E'
##
## No pre-processing
## Resampling: Cross-Validated (10 fold)
##
## Summary of sample sizes: 5301, 5301, 5300, 5301, 5298, 5300, ...
##
## Resampling results across tuning parameters:
##
## mtry Accuracy Kappa Accuracy SD Kappa SD
## 2 0.9779269 0.9720659 0.008125489 0.010289454
## 27 0.9787749 0.9731428 0.006700520 0.008476131
## 52 0.9706244 0.9628343 0.008157182 0.010318391
##
## Accuracy was used to select the optimal model using the largest value.
## The final value used for the model was mtry = 27.</code></pre>
<pre class="r"><code>print(modfitRforest10$finalModel)</code></pre>
<pre><code>##
## Call:
## randomForest(x = x, y = y, mtry = param$mtry, proximity = TRUE)
## Type of random forest: classification
## Number of trees: 500
## No. of variables tried at each split: 27
##
## OOB estimate of error rate: 1.83%
## Confusion matrix:
## A B C D E class.error
## A 1668 4 0 1 1 0.003584229
## B 21 1106 9 3 1 0.029824561
## C 0 15 1002 10 0 0.024342746
## D 0 1 21 940 3 0.025906736
## E 0 6 5 7 1065 0.016620499</code></pre>
<pre class="r"><code>confusionMatrix(testingPmlNonNACols10$classe,predict(modfitRforest10,testingPmlNonNACols10))</code></pre>
<pre><code>## Confusion Matrix and Statistics
##
## Reference
## Prediction A B C D E
## A 3888 14 1 2 1
## B 44 2563 48 1 1
## C 0 39 2340 16 0
## D 0 2 64 2184 1
## E 0 8 13 24 2479
##
## Overall Statistics
##
## Accuracy : 0.9797
## 95% CI : (0.9772, 0.982)
## No Information Rate : 0.2863
## P-Value [Acc > NIR] : < 2.2e-16
##
## Kappa : 0.9743
## Mcnemar's Test P-Value : 7.765e-15
##
## Statistics by Class:
##
## Class: A Class: B Class: C Class: D Class: E
## Sensitivity 0.9888 0.9760 0.9489 0.9807 0.9988
## Specificity 0.9982 0.9915 0.9951 0.9942 0.9960
## Pos Pred Value 0.9954 0.9646 0.9770 0.9702 0.9822
## Neg Pred Value 0.9955 0.9943 0.9889 0.9963 0.9997
## Prevalence 0.2863 0.1912 0.1796 0.1622 0.1807
## Detection Rate 0.2831 0.1866 0.1704 0.1590 0.1805
## Detection Prevalence 0.2844 0.1935 0.1744 0.1639 0.1838
## Balanced Accuracy 0.9935 0.9838 0.9720 0.9874 0.9974</code></pre>
<pre class="r"><code>courseraTestResults <- predict( modfitRforest10,testPmlNonNACols)
courseraTestResults</code></pre>
<pre><code>## [1] B A B A A E D B A A B C B A E E A B B B
## Levels: A B C D E</code></pre>
</div>
<div id="final-results-for-the-tweaked-model" class="section level3">
<h3>Final results for the tweaked model</h3>
<p>With a sample size of 0.3 of the origial the k fold cross validation completes in a reasonable amount of time. The accuracy is 97.97 on the target with an out of box error estimate of 1.83%. The results on the coursera test cases however achieve a 100% target and it yields the same results.</p>
<p>With more processing power it may be possible to use more of the dataset to generate a higher accuracy with k fold cross validation. The default cross validation built into the random forests routine seems to be doing a fine job as is.</p>
</div>
</div>
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