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<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta charset="utf-8">
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="generator" content="pandoc" />
<meta name="author" content="Giovanni Fossati" />
<title>The Analytics Edge - Unit 5 : Text Analytics on Enron Emails</title>
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2FSxouQtYBE7ichYHbASPB5J1%2FzVfPINn38CqTMws1KKo%2FyvNXpDgBvCI08SBLSwX5Szp6WlpzoPEio8DsNzZQqgUMoq0%2BNMALrygrOlErJohXvIJ%2F0IqziZok6OuApG2eoGAEFsTc6yWf9eRcklYZRO3PkA%2BW8aN5ME8aLNC3Kdwtm64WyqytOEW1WQIg6bOFHAs1ovo3OfCvvZASxBcxg2SRCRTTJDBKajFH0LL1kSBroe6L9xvVxMCIFS7Zo6y4ZOEIkAI9QtGVIKKBlCvUUEq2S8FiR7VkJGbvBFaS6UzQV%2BayV6NKw62tbJbEjkJ7AMC17DK399DZr%2FtE5sUtaAPwaHNj9VCoVB4VAG0iNI9IjDo0mr97FWjYeDRSr3pstZTVZ6nj5Vp3IbssG3g0r9E2eSmHY97LYobIHPnEGkKDJP15WPWtwMgS8HeLd6NEnP4mIFlRJB4zLeDeoBElpUNRIQMzLbRQsGLj3DZhQytDQPLAUE9JWHiLKAJxVTOJNZsObEiutLqwox%2BM51t7vJQhBeQm2i5bTa4D8qIUjqI1sL9G6Vha6U6IPUabeCUMIufG%2F%2F6USyxymXNlfnVinkNvKZGUjz0EWKIgZEC4WkUEr%2BgP%2BFpkIPUVM%2BQEJPxFxKDlpBEeiUSaTgCm4sEfRnBxu0eF%2FLgLp0IFHMEt8aZrsQzTF3wRw8TdpzHNGMZrHHa6nU8KCQppWBVpJ8b2Xjq278mtoTfrgfAMSAm3cYEcDw%2BzcSsXTaUyd2PH6DCU0DdBiauxpsyoKlAh9IUAzS32X%2F0d3x7h4gL36Q5sC4YzkbttmSwhenP5pxxrBEEcoAohUGB1jHGtB2%2BI0FEcCM2y8EY1e2NPXJS7wp7APp46lC7gSit7FEFQCIDnNX%2F196lJs%2BgXTyJrXAze%2FQ%2B9GEFC7p5W7W5FEooh5QlO01B1OcYDH4VTmRSO8fHPjRo4FkT9GrnUZw9pXnDplu0YFyOaAsLOkxdsu2gfYJ%2BDzBNihSUutbDbDy7VKS3KwwUTChYQkWCmldyS%2Fy05EvDGbLbpkDfbbHNGEhTSiaAEDmoKTERX3pEuKYJT%2FlNS4IawkdDACC5Jk4hgNa2EGV8yblsXoSHDrqHDJs4JDXLLA67oCyia7LABDzBMInY5gnZCpFuyyuaWXjKHRgy409j2wNaI1bGlosUnhaB5iqHHZf2%2BbDPpsIwoahsWRL69BhhyPHQBUNCyBR%2BUJzMOBRMxTVhNsS0%2B1n5kboqmNZcC%2Bt6HYVscRaBeox%2Fvv3%2FxwdoUoRvs6CamykRGihd8HTNaL%2BxRuoo3QVZvFT7xS9opWLiNbQRti9PXbNg0J5WDsxaNesdmkYOcwpiqsURuor%2BS8hhgWniGGll%2BtD55enFSsyATy9MonNXUJV5Q7eAouzR%2FP4HlA5YWBYYjm6NDAEk%2Bx9On0MGm65%2FEm1GKndnRp4cv%2FjFAdM7hnXsaXnGKAeK4aE%2F6BhOq1%2FAWmgCMQ4zC8G0wBzhuMSeeVhgAl0jpwicoR64K%2BBYlYbWz0gTGAGtI3puhx3F5%2F5QKXradYFuhJPYWq3ITCUUNLpugdVBegedngCO%2FDN5mJBWzGEL932jL1YntvCgzzLeR0WczKl0J4g8Gcbo6p5LOslpYBw4kE3ZDMiHPjBGyAUjkrWXqYTrl7gRUwex0zKVekIhoI0dsFRDtQxsLctjOlRs5Y2gYpQeBORQFR4C3hXh8EnZUzuloqFLFATXzpzv6k5XoHB3fZLNUiPV5DvAfroLwH8tYhkcOxWnHqePfQulM0DCPTadXa%2FTpoHYkh9BeeAwpmi9Kbo%2Fm88ob17pFzKP2lJpfWxbyD3PccS041A0MQWUqNDHOPOFt57Q6TiHQEKJQsI4v1JqcD7Q3orOdsLvExRQwS0nlUtV%2FpQbx0wSlrRSneWAQ%2FJhPaT6rMvIcid93ahrnKe34YxGA3D30BI2lEiLGh5iAUkBLBoXRshvpjGJGLzGcvonIqzVubgEJv4mbEl7JggQUWb6AYaQMmGUXEwIjylByVLbgcEbUQL5RFiRkX%2FbOhzb9XavzmFpR0cOdx3etgoaCPbiL5gR8o0wJNdPMCYcmyP0SDmmsW8o0O%2Fy5HNRxqz3IhmaxvIT%2FxpN8Pj%2Bx4i%2FGawfTOod%2BpvHN9BMNQUKG555l7yAKsma4r8JwVm6gxqBECXHA3e%2BdCsONR41WrcokynYzYqB0xlCdg9Nu%2FVL4rgwOiTVy8K70TghEjAOHeFBYvGwmkrDIzlwQsyBsr3K%2FEBFKO8UQ6J1hU%2FYGFA8fGgTnBoNnAmZc%2B9S%2BXnpbpJ4QKgdip6TZnI6woSQaYgxGpdaxxSuQkxu0avCBOSwchx0SS0x5HgR6iz9AkbeoDFTnGInFfbnMUP%2B8p3uSQu2CVkHxeVeEMICXKlVDsj89UY7AfyMvxTyws7ilT3y4zYSLVToLb1IwDJHJ804mZKVSKgSOa0mHCQrjWQLaz9LrCiISicIHspx5moJ%2F3Ng4rjU8aMqTDl5gjJAFgAMupkEoWEalYEtHh8CvvMqUP0Ra4v6BRr%2BdgNXFRLo%2BjKWRhaP4x63qqfsnw%2B%2FlDAo2doOxQP7GwahE%2BiZ2OX2l5DodFT8bGiL0YglcRmgDoYIEaRBLqdbj7HFD8xfZz45H2Tg6upN9XjuGCxtdxuVuRjssowtewrBo9gBM3T7d77hNjF9rd8QTMjwGLx3oWax6aa17t0I2gcG6kcQgw%2FphwfsB4gsCGgMGZU8P%2BORAg4iQDmTP9XqByg%2BjtRqWtpaHjiHSL8CNah084UP6Rfjx8GU2eaRw4mH%2BA9Ad42DummqhAj0%2FeMNS3V8lEHUSc1ntW779KspgJUBtJQEpS59ODiBRghAyioIrf%2FKoPh0eAJWqxh%2BSurG%2F5xVdzZBLgKEiYy4izBuKhCRIhfoADEt%2FB%2BirTWSOZVkcfzWBbA%2FAO817phMFhWQnvTwzjirEna6JgrjgHyk%2B8nWk0k06KkkSOOryl2OrOta3U1Vai9SLWxcE3cY161P64wA5VUgBExRGc8qtWCkEHIJfWtybVbTm%2BhrXnbVSsP4ucJTC9onJ8N4r9lRaV%2Fc4a2SZKmPNCgEUW7LDBXhvFxUvZYtnIuGD61WQtIrDXUc13hksUbImFeHrIBgvnG4ogmKBk5CClzY5DWqCCMzdrHBGSSOTyO%2BE8inLMGSApQqKJB3XKm%2F%2FMFoO17KuwfwqcaqjAyaJ5JOWW1Myr%2Fs7ZQiw%2FPqVAMH%2BlK6DYqjGUMcAXnVxy6z6CDl6j5mDa5EG4j8C6pr0hKyRNnoiR1vl9DWOfC2%2BM4v44bO3onXro%2BNlz00ZlGV2ICJ5CcCazVCJHIETBqVFhGT7KSBdNDv5ILpSacSTL0S6fX%2FP1CEIT5NZgcwpI0rkV7LqiHRoLUAPjXEqCZ5mLntX5JkkUEelCsU2tXCMZ6cZivQI6hYQNbXl4nc1sSNtBUTkQ8Y442KxRe7Uy5yOzB%2BUlA3MhvFmXweJJj%2F%2BG%2BqwJFWFLNYp0JhzD%2B4sl4JYn6a%2FvShCCo8hchMfrswjZgUqiToKfoOGaHdIAnKE%2BiEedBkyLwMSoNVX83TJERFy8PLMpBjsXtBITuS9lpPCTVl%2Fvs2Aqzlzwnj7lpl6VX%2FQ74tWqUSzaKziwue1phr9BpcZjNc%2FGXuJUq15TMDnCsJS0X2wAtW5JQA5MaTyUH4cDRif3MDxZx3Se89P4WSIvEEeLjToJbXf%2FrRhBMtRevJxuf%2Fs8EK4woZOFli3yTq3xqjBjrlierqgmUpFA15HFkeUOuLDjuhzLDjAGKK6WThTynzd%2FtCQWU3Nzd8%2Fa0q%2FxwZYn%2FUPEHU6lsdG%2Fn8gN%2BYACURCU%2BW%2FldrXpdUK7WxhgWmNd%2BLDoQFCU0sFyHn3KqFz%2BIg9e2C5oe9EOi7KdTBxPE1k4k5tkX%2FoZzSih8DJDFd%2BrITKNSsAAGtscSW9VDasqkEamMzeUOhRqRRAj9lc%2B7An2YOdL46GdcOLAsgYaFsR9hs0ToUzZ9rFRLG1%2F7eYLz1l5ijumbe1druwaHNFzZjtwt%2Bn7paZaMZu2EIx%2BlxX%2F2SBrWJQQM0wmE19eWrGPIVMeAzVWWRp76m1skeqzaBBZ6So4eD8Gpv31bn%2BnO4WG%2FOg%2FB7xQu9kpA3eZL3w9cwzrZfMmbUSk5OiF3Qx7bQYhL0VoUQQP3Hmps1bBJDQU0qAJpWwnb4iFOMBthzwP81ilVnh1bIuk0C9Xe%2B1kSK%2FK%2FMYOh7vIa7ghqGEKzCiHrehs3cA1pzgec5NpLDtCqMPp1GVECA4QZKiZX0hQ%2FGqjOhhObmpH0vwx0WHctTrmGC84Ub6BOQVdXIqoxqMVNhQjd%2B0CYMRk1zp6%2FPnIOsW7k%2BhQEruSB7%2BDEGv1lziYEEwur9gsigQBG8EJ3zeigdA74WvD0h2IbdNzPw3okAFsdmi3qKH41lxijDPDtvZcEzXwUnRNn4WpCP3vPNHhO8czUiYjRn6GRIQ4SymW9MhjUu%2FjbWOhOqNeh9OSRNh1EaFZcalxYnJMLCpTlEDttzYxhNCcZ86PUpbEkFmkU5HRiAF9AahZ8jQ769NUzJGkq9YLj9HWZLEK%2BIryXyPLZHAAHsBSe5moWq2RRQT655EACRYKQ1AR2mNQU6hNdrqLyfpSeJ5PrccWf3dXVxmIidWyyIkCm1v1oFYgyGcXwrCRPXPMLYHRFvGVuYyAUhzgYntJmDhE4VCNKoSxWlSFiFuMGumZHJnCJyAdT%2BHcgUhIEJZgWOjmy%2FZWisKRYo4JjuPntQGSxlJg3XJ5DBsFM3kGGQjqECyjqYFW6ccOkCDy3EhUt6taBIaHclyblt3Xxs353KjciddJC7gI4cZaPj4zBxOVNfei9MW9cLUHspngSFFni3AL7sLsbqo3totPWMf0yD2bdWKWuK2a4eF5jKcYCZyvORgcHeETtqeqhAYtIyiFGAYJQMOX4VJzPjyDKiavWJRtjWCnaTUdPR6FRkTfFAARc%2B3Ln3oFDETvxxiaDT3roIpaWwEEjRlhjvs9ZKiU2o1HJOMuVRFAA5fWzMgAqSKDaSLNQcQZbaFzsgKxXWIvjaOqsoiS0kA1bx2TN4NrJBVMJcmRWNIqrjepyobiDa9yXYKmJvgQWZhEBvF8wEx0pMQqCzcf9JemmcVMROHpvzARvqDrI5WOXmah0Zkh%2B6PIozOYm78ieRAJObTPxSCLuwQiRlWaLSxJ5hgIIrjsEUKPWMqRFuMgh1FsNDFw5jPGKPTWzyiSEIS6IPweoS55G9SZZ6wcpW%2BHYMSkoSETssJ3QQM9bQRo1JdCQdS1np6F5WR9wujL48y6xB4M6Y7FMnX7f22J6F5gyYVK0QlgEQxVXFUuC964aXqqhT5cX8XaZv5hVzeTU7bSoy40QuTOUjLVShZVi5iWJMAbFhku4I5QyO1x0Pm%2BcTesk5XsjnzwoAIsmXCFbWyIZQuawuVuXuR8DK92lWJDrNrbFtNbCj5sTTCx7e2Wb0UydtbZ%2F0CSIT7OnVIY0fRntwN3jNOdh7nGpmmq9CbBm1uLafMptryjPHHp7tKZEuAL7OjXHySRjUkXydXE%2BSrNxA2Um5Al8Dh3EZC5V4SFynxsMTKCAIMqEqNKzuJCQM3tvVBjRfT7xHSuCO72a6pSo2wn8%2FaXBmKI9sW2BccnPF8aML8%2Bohhb7ciWy%2Fxch7McUey2CPGCyVKaKDX8%2BSBNgqZqMLbCgZ4NPkIF6NfeH7gtElIrOqbudNqU8yyyewVZneKXuzObCUxU5b2tecTa7Jn7SE6UlSYMTkMfCs3Q7fVCaqK5k6pf%2F2wW%2F%2FosIJEgW3skUNgQHyb%2BsAi4ECMNcyjicIITuXGyXkkRIXyN50Jg3r1FpMmaQSUl9pGxnNMp8jf24vS5eX%2FyJYlMUISy9e6JooaPn7fiuG4QEscaDgCZpra85ygZUcJInLV6C314YPJdG2UL6qljb1QV1ZhrNcFecs0j2qb5gvkKHOFxHphwdBgEJc3y8qihwdZCQpJ62h1voTUccffiDJEzkU8jbXRvLFdPbcmVBUhArEuTKQFe570IglefLJ30dWmVAtx23vIGmF7N6auVNpZUQVHNmAlGgjNet51laJgLQSpfZyxBEqLwoCEGlF6ISp0NUmhUHT5a12%2FZElPE5UGO9AVnKpae3D5llVvXAHK0FIH3uE8AXFPF%2FSwx3OdCN6aViMIxEVcqv1UsLJo03R0grVOHRogBCiYVrK%2FqFBPmGrDyXLgr6DxBMSKnf1uSBgiRjCiwL1QoM981XHZnusKIVJ405xXwx6aBUuM2YXS0jaCPwaC2Zdp07J8gxM1KnpWMqNkRCfPaYTelLbBmd97YeNAOFaFOlV29YQn0qIInmIeMFxikX4U1pEusNYtOX6tKZKkgVONLhIF9ZPpxNWGA5fslgv82Lx49LF6FltT3Qp7q4Rcu4hKczn2m1GTA4unFBAkDCqY%2BD5s2dyVIfDeGeBgwDnPbGYXQqwM0E%2FBCl69QtVYbUwkQZAtSB618VkAzCPAs93Ip9qWnBMX%2BRUX0PFxCACZQwpfvNvAMGrD69RE6JSyNNOvRD8v3gzw46n8oB8mFQiYiwgidAyJgrfY1SaNrL5QDEjIIgYLECALRSK49wPmSO8jZLnesJ8oFZjWJyTrfBrNRCeOMoaVxOojhX6WVAhhJ6dvBPZ4AbMXC37YPHBFKUgA7t8mCk8U07mFgWg3wbOZDgsEZBOC%2FApoLJL8CzpXhZuoEh0ntzsvrUPhE40%2BUUkCAm26DxGMecbxuJ%2BpPJct9BZL6lVcWLmHps6SSRwqmRJeypwrd3vNnIawZkqBn%2BumMrwB%2Fc%2F%2BIAx3X3Ehjr%2FzJIVUK8Luxlv5IeNoBQPnIhvJDZfGo8KIpLh8O4iRusiuQOtytJ61yCvQUGFmCxEEliRlQmkN5wrVLkx3CUrlDG3ABe14lLsoysj9hXY%2FTJpUb3tCvpw8Ez7Wb20lfIScq%2F6wGFIrBkgzjtNLBoYqAgJoKvDHcdkTRNbmMKP7Fha6v0z1qPmfqQzKW%2Bi9g0kSWn1vQuqaJyaTAX7hrJwJgfaPjJvb6wXroHZRAD5NH2E2KaWtBw9TGd9mIea9%2BPrxlBpyjnQhg6rLogT7414uB8V19PPcBZUhnNx%2Fhr1%2BtX%2F1jKG4nnHv2EtR3VOjo9oWEibOHX8508Tra1pFg4lnAwoQ2u2JcsDi7diOc%2Fuhvd8qexCvYgoI6m9VYAg7Vl0PRXiuCdgHdKDIIHG0j73u07ULaOJJ60Y178Lsgtd7zYdOUGlMCYhR2Uhyglt3KUjPCpM8MKjVS6OgTHgqD1SSQ%2BqhzInvSk8VzFP1cI8vLxtdDvH35uPzMi4mQtJCrVUqhBWbQRke9Sjt9laOS7Y9YqUkXldpaAoofKmUNsx0D7eYLc%2BspsKbO71qdmmaGglAJjo4kj6XlnIWS1hQZORC%2Fh4i%2FCdcbaFFuxb0AYMJ7EdQExeIHEdPRtCxVECvtxHzbEyldDvie9cGKwImUuI0xEL9W%2B7FhefRJ05ePV427NJDYmhOCwBDNBP5LrIiblD6aw7pSeWFA%2FlDoWYMm%2BZEcF16VDdA3ALq7hDBlLUzNTL9AoVyczpCwb7xHucfK6T64W0AnDzYLg0HYWadOMPdoP%2FlliqiAlAWP4rio6stY02elA%2FLOPBnEr6rsAqtMRsS2g6HJtNANGwpxTdZEP5Xt5mE2gPs7dE0gyQv%2BFdd8QTBEqmAeMHtNnjBtKvg7KmIZCj9303GT9mWQXZxolBupTHIhJT%2B0WN7uu1FbRp6NnSRDIj1aXRJD25s%2FAD5%2FIc2OQ0iDp7%2F3Dbv3Oa8McFBhXrPpAKzhrFANFpcnLmEVTXjq0MO5sJAPVxFbMh93VfD%2FDppG4mBzXSgVfXJeWNNxoKF8QTwcQFXwQPB7QLE2PENdF%2F4vDL9zn0ZgQ1i6Nyr35KAwetsESlUtEENQbCFOeUFb9lg4Q%2FW5lUNo2fsscGbWY4T6pynpP0Krl%2BJFEfY%2BGGHI3aj8aBO0K%2FndAEPa5FX51Niq7CEOhoB2hSpGAgBT5%2BuzxAMzSuVEeQmZIbYew4tM4UsHYdZtT%2F9ibeR1u6rlX6lBQlSBT6LQ9YUEAgmAxLkAKQL9PSm%2F3NQF4w7ZvdqRqMJ5DYZh3j3I1rDmyXyti0llyZjkLnoPtHHwZd%2BfwWVz9ztMTMCFjpKBVWAdcYhRV6wY0kRv47nqddzEhQvXsqNstE6GNiLTd8iliAfI5vfm2KjfTQwbxz2uFzaUL0A9VKWzB7VrWS0QvlqVw9VCXOB6RDSgbNtW05PB7pEz%2FHZkv%2BXQTUD8mSQ3mJk%2FEUe3%2F2ixiuDVAOBfyIscXixo%2Frh7BHtl5KSBigokAOClzsk5pj5X5S9GLKgu5AbQNotZBWU5zoIzScHQKjeFNr0MiX0Mp%2BlHmHKuaDcfU2H%2F%2FhJmeXl1nPE8E%2Fk8ULZ%2FCLYtwJWG4CHI8h5ySfOAFbkRVFJyi0KYkQ%2FfhDAjciw08ETminGEMzG%2FwOERVW0AEslZEl4sfr5AYRKGVSMzkDSQ%2FnhkipQ8y8EF9ZRGKCOxRzfpNMubhc%2Bs9lZBHqNegMaRLozjP%2Bg8CUsaVzp5Wd0ZI5SaeSdNAD1HIc0vTPw7SLi4Jpa1gGgtEY865KzsFCn6I1RvKT3r6BVdYGsBPWdVzeLfbxKi8BVQVzd9f83goEpezGYiAXT8S%2FpW37TxnZ6f%2Bog248Vvj9otMMAmzAfvCpPYmXIx6ZAKAwBH737j2KJpWyuPMnFIBfqRrEBYiTiWVjvdx5T7k0dwFjgjLrLVm28m%2FXLNfjkSOzkoh3hangxcOjvxzVDIGSxYBxI9ak%2BDsrVTPAlMWZD7OThbuxdkWjCtGwtH4QzQdpmaBsHV8Yrg1iAK64TC2WMbQJAFFciwJFPSRQ86OtUrnPSODgRE%2FhD4qWAHDlWBDy1KPUCEbpodyyU4TnaIFzU%2BtJJAes10UhzVTNE6fGDGUN33wCgAZYoIz44wHk6fDO7wGbAEwmcVQg1HGGByFjYGdwJD1joA5AM8olCJ1LlTUGB%2FkhlrmbJbCbD4Uj0GZTy06zCTjOeVkJKZzqk0nE4%2B3RmlgDHpJwCwwZKOl8SEEH%2B8TQK7R6TiIPAy%2F5M08zWqjpXg4KWF%2FMNQpvipZJ4KZfGsivxCXyinAY16NjMD%2Bkgtfc8pGpAgSyN27l%2BuW3OjjOCnldBAJLpzjAYdBoh3b0yuYkLj7c6iwxR9NHW9WBeGVYjvaTEHVq2t96HA16vtKz3ZgtNuJgpjnNZRGEjbmQuiQEBJ2BdgHxFDqf0F1dQJcS4sIvDHlCASh65anDjgr07Qa98i8Jb1rAbSdOOz0cM9wlKXm7ugzOMTmi8EbeTBIoHrudZ9RSwEtADDsgyFwnxyfzXecDzLGFMmkRrGWCdnWVnSMMcc4cl7NaF%2Bt%2BgTHgy9s1SV05LLaw7YYgNxNKt2kpiEgpahsRp%2F0tarSWdfS3AdWYIAnrT68WTwX1vtPgL7EMcIzmOpOxL7oZh%2BcoizveUkJVmjedZZlkwkno1E7%2BjVJIoz8APlgweTgHUL%2FGciPnYgtfrq4TtxE4adiNQ2ZgyJHWYWmrMlW6ebFkPaAUwzKsAhoGXxXGRGKFObHKQOqFOnGgkyLajFNwhUa4fqva2yI2DlREZ6p0CNOGwR4XCrS4K3SH8pDQGvZIaDcMPtJUoLRM0owJ0iT9QcdRK5IRIIpAOzsUotf3TbAVvbQH8n5voA6kUzw6LqVnwPkmnYxgJLYiQ7hQYlEsYL4k5GCZvd58ypvZfwO5t1fXMTj11hE8GuAZhX78JMPsK%2FJ0yQqDPk4Z%2BJbbXS1tia0EBwCjgWUJsUI18clQ%2FL%2FH39pOY3jRcZFFfW7bC5v98f%2FwQjY4osg1CYvJfYmKVWbiPLEpDvlTEGLjUbCmh74cUqKtsVVr9hspTEdTKrKSRjqUHkhwgyUQeNizUsUp3cLmGnOoxPIuzYDGHFJxwclXasrQR5Pp4%2FX9adXL0zyaNRcp5govE%2FKIiLMyYKgb3rKpuxbm7t8U7GiR8qcIvzarYOuIr0z8D1QgHRWmwQj1jMXJlqpuDBiVUQD80Fnr7quJElyEAs47dXRoms8yEtA2VxNaYbJmUQ%2BlsKhyYLlk2q0QMXQSsMctgTGOka0GYae3AxbsfNKwpf8YnyAYZzDx20P8xvD5aQ4OkVtbj%2FxeO9gPGmBGT3BiXsWroQWXXm7Mw8XnUAttSlNyNEsqWLOLy5MJLmMa9m7Abm0SuOJF9RWA8VDp5xMP%2FI6LaAKUmkqt6%2Fxs1XyWrgcDo5hjmvshCSHhWpwCludJPk5i4bpUhqFw%2BRmK4VAI0O11JGtbQ64l%2By0LUdW7GarSUUwP47kW2CYDEdvsA%2FTXw0I4OPf2SvJ0FKjn7aZxxwVp2xjhpWMTDxaZMkiOxaFFLydXq16fefH2qVJybgXVpioGcKFhS4AjNTEa5T37zLo22Qv1apFD5qUjB9w8yA0vSc2RMiA7xIsRIGBTWOjHH9SZlK6QJGru7w%2Bq2GoC22fzSVxkr%2BWlT9rAABqi3RiLzDxns68PSEUIxqrqFw8oMUhIeL%2BSdTHAvw8M5C0b29DIIfScMQS0TKwvPEq3kAQvxMTC0D%2B7tnB7QNRliGiWl0NuVnIUY7QMwRkP%2FgVT2WDBX08%2BWLDc%2BiW0mz2CZ3IAvWqesMkIe3lWqMvUDL5Q33McSklm9U0P9SHgPGGVlX40diyUBp%2BpfWi%2Fh9sKTOvCRCj%2BeFIWvUXobOyAxrHlhKFGhOiw1vyKUiNMgN3k9No1jfVEpQEU35laY1OWX0u%2BF%2F3AcQq9opTw0RwEyxVosGLDgIkSdn7hs%2BIHrv2jR%2BJUh2kADlTtyX8HxtYxLUhMLj3%2FFpJAhfxzoRspqTIQicEOQtI1iv4n0xi9GiED3BLS%2BriXyEyU1v6KfcGAWCaq%2FgQ5kImR6wna1UoP6KtpT9XLI4EebxCRQriHsHkCOgDlZM8hJEHcCfGIERpbdeZFFHtE3lBjH2cIQ5p7TNVfRTwBkflxGhmddY2YfZbMF0bFv76YdpbH3dxSKmVVsblZW2xdvOxqSIQqbw536IFhJKhELagVlMG3LQqHU43e%2BRZjx4BJExsLcLX1oShyJFvhFevBTFOUF3Exw2yNBWwMCW5QA%2B7UmPhwM7AMOXRddPg6OxuaNAmiDYRKlcHo4FwUeta%2FLSOUyYddHQi3OFkb4z35KYG%2BxJAOZ8LTMyJ%2FCgARNXgZ%2FC%2BfKy8W7VwKPzhRpDnIMS0ClN6sPMpa421GfuLwApsG0C4FpdCsaLM0NtsctgKVSkeql94%2BXUmITqdGBajY4m4NmDFEk2HiFjYtNLmZSxNY1QM4KakEvIQIFts%2BOJ0QCRKvhCmQcfRAjN4VmYgb58CBUMiSUpcyuEfRFZS0SThDQPO4aFcJiNJUvlFdO0s8RaeSdpOSHscV%2BJAIchHCniOYTsEqhdLZtWVSiAw6hEDO7LI4or%2BkXTE6zB0CA9o4NUeZIpS0Fn7Q8lU4X9sZNCO0uPfjoWqOaqDVcbxBJSAs8RV9IcKmOPY%2FLDUnXDLSYfFT1xyNTWRLKRW0kFxctTIuvuU6R%2F%2F9ApGo0EHrqGH7dEmsI%2BgA0UXpfNwWFxUHz9CYK9toXP6IlTFRhuGh7z3bhwL5qzzoRAF8dkwboKslbtuftJDrshFMoBNaIvpSXyAFRCCKFOKEkzCkB3NDQB2qtV%2FANwHNea%2BAUDr6WWScJazRx4glReLp8vQ8sFtz%2BhqehlJO6MM5NMIc8%2FkWnwbE768NqCDKBi%2BpY288WynJ1CT2Kq9%2Bo6rhlUpRatsVIsacJhA%2Bq8M9X%2FUQMRZhshDAvsXwlZfxDn%2BWCfyJyLFA2s54on9a54PSC3WgchQWZLZgEl8xGrFUqCofhkvqYtXjA9XyewEKlnAtD26XlSvqtdhXOT%2Bi5BrX6S6hHVcqbZ8qbh%2BEzffUpCfTG5HULg9DQQaQ6ENkkq3DvUSAQwcxh24qkmtdRoIMDxOVDdy0T2w3afIBABsQGxnqJaAOY1gWawTUuhslaSivzrXaPcRyGhUkH0R541UbNvLKiY070WOGYY4R%2Fg1rfKhHcjoV4p45o21tldJXmpG0XsOekNlYucZlkAWkVUHtjkSeUbdfBMKrGATodKL9arS5JFVovaKRlOWbNJIS6GHxuLt8CX%2BBYQUYDfxlQrQQhL7z6vChINNDAVVN0rXxaKjegwIPOJf7rXfHBBHGpBNpaeLGFXCBrWAdpIwF6mcE7pE2z4HdIxcWkU0QA3TKjZQ%2FPNc4VwWA3OqmXuoleHBmMRLsU3ENaVgIpVnIWvBLVDYNLzVRdIefms6mo9VoRQZ6cCkQSOdK6KDkWEMZkQyIEM6QUltTfQ1xFpxUL%2FlFho06RSy0MhFQCIEh5FrTToDEgpZU4QcT%2FbYWc9XTPTTM6ZiDUk6d8MHSyFOgi3cE0Oh5I2Tv%2FThHNjxg7A0zwweFEVnLpE0Ai8Q9OWYcdB1zNKwLEBtxjc45oHjshf4AMMWhwwRhRdBnjEU3iL3TIBscW%2BvDMwGJnW4omSkqIJxsnzyWwZBg9lQCsSZ2CK25fZnAEtrlT3WZ1xUoqsQBEiEMEmCZAjQU8EhBFQSUEVhPwf6Ekh%2FQtYOKDqg%2BIfAJ8CuQ0oaANSG8CrQwYJAhV0I0D4CXAOIBYAcYMUAO4A0AuQNYAwAWgJAFzA9A0AgoIOA4ARIJoBoDTBVATUAVA%2FfmHjl6j%2B5Pa79V8K%2Fh%2FQfNvjz3P7ler%2FHHh7%2FPw68DnObsHvPy3cPPA5wScuOB7qBzX7b8SuTXQrw88fvOjUnszbV9wOhztB3%2FrTR53FdNbVFq3a82jxmuwOcluBDDjLjOjALxD3%2FQiP39Y7a5Rt0oNm7G8V06nAGXPxV3oiByNCcCfXAkpuOrai62YwdiJaYXnQsst7b8q9lbH1AhQ4fOtIhMRO4kqFfJyARyYkd8VFgh1WJGVCPlA1ZMLjSDAUNwDDwkxBcqWcEmILYipcSYqtCIqlSAqaSAqUCAqkjRU7GCpiLFSkWKlAgVIxAqRiBUbDiowGFRIMKhYMKgwKK%2FYQV6wYrughXTBCtmAFaz8VpvxWa%2FFYZ4KujsVY%2FYqr%2BxVOdCp85FSnwKkjcVGeoqJdRUiaio4xFRNgKhy0VBtoqArRXysFeyurkV1bquqMqqonq%2Bh2r6EqfoBp%2B%2BNH3jn%2B5M325m%2BzqX6%2F4%2FrnjqtKKqtoqqPhqmWGqVIapJgqjWCqxYKqxeqp52qenapVdqkp2qOnaopdqh52qD3Krsbqs1uquGqqZaqmdqqVmapLZqjdgLkVYtPvgiXswWobLWxLWyK0qjACE6uL48VDS74vVFa9UPr1QitVAa1XzWq9S1XKUq4ilUQUqiClULTqhKdUDSqgSNX2hV9IVfB9XkdViTasMbVeTarwZVcjKrSZVYS6q6XVVS6qiXVCBdUEF1fgqrzlVcsqrdlVbQqrWk%2FZ8n7Vkfagj7JEfYwf7Cj%2FXof68j%2FW8f62DVWIarWDVaUarJi1YsWrEC1XsWq9C1XQWq1iVWMSqMBKoqEqhgSqBxKvuJV7g6ucHVwg6tqHVrg6vuFV6QquaFVwQatsDVrwatGDVnAascDVhwaoyAqiv9UO%2FqhL9UBfq%2Bn6vB%2F7kf%2B2%2Fx%2BtVskpnZEuCUxHC%2B%2FYuIK6NNKiB%2FEzIk5DuCcPq3Ew4GQBYmlqw4gUEVMiRKFQwiMCQcTgAAAAEDAWAAF5ItM%2B6bFophhd3N1nA4zIKh4NARWfqCooqII1UQ4kBYJ2AQsGyO2lAp%2B6Xiqm%2FCkfz5urtugisAuGzxeNHQh1A73Vh4dG0%2FNDkMQKtSO%2FBTm3DojsrbF3jq6kKdaxNxwpKvTKteAnM7mCQ85oHLN5AxXtO3FxElkoEAFo%2FY7SdVN5daSO3q5Y%2BGBpQAYrusw%2BEY9%2FXMmtYT6y1gbXXfGgzHr8ic6AN9hcvHwEYELAoOjr69A1yaVwaL10euR3YUZUZvQl5xZXoT8YeJLqVKFrjMLT83%2BN7REmekLvRn0TLh%2BZMzVhvjjOcuh7%2FDGoSIzhcgAEyu2q%2BgmErl0SoAyvHf0gOOHkuRFZQSSkFEDSG4HCQ838BiFt5mdNnEIYrPlCai6RoN3%2FEdkyVeA7o%2BHQvKrwD5CYAAo2RJZIeP1xRy%2BlJaWuskPYYJ6GKPdNLzxcio1M6LXHJDQbx0X1i8B9YnLsQYerRiZjBe%2B2alDqaPIASEoxCeRAUMVuivCDeCNo43Zi%2BmFz4viBZJrJMbwxhXGCv8CUG%2BGpgMJzaVH06hQdq5woKyZyKYDByVHQl05OpUqPrSuURMAxrqnfhkQENbMcnlzk3MLnnmnljBLSdHj488rWP0ithH7Mq2sETRkNmgYc3AZSu6gL%2BCk4IDhPtHR057XmxZs5enMzU7IR5rdjAD5bhqPdP0mGax4%2FBC5rzvd%2FNmFSTuivxBTftCPQY%2BTO9CX4l81r5FFfrkZ1yrTcaX%2FE35vu8hUNdTlgS2iD0q93mIVdiG%2Bzz6ZoWvKaG4axR1VGYKVxYs%2FhBQR7uUeb1mU%2F3VlT93WVa55WteFObdmuaGauUaHua6G9Lh9q5rpXj%2Fwgi3iPylvEGKzMA9lXBUjbXHUnsEBSjM4dcmrgF7f0G9lwAQt4RLmuXHbpvBr9TrIO6tAdGiB79MRHozMKD8uVjof8zfR8GjzHzhs033A2Py%2BejgTAGqXxpL%2Fw2WVk1lFTJqz%2B0kBeRuJCR5GRySPRQSmUbztwmWP9kLIWUhlXSVdCicr0AP0QVDW1JhE6NsgqFunp2ST1zYgQv6Qnhu0JlL3GiFmbc6pMG8mzBJsoRi1z3Z5NTM0f1ndDFjciaUQqsNg6uq3fi8dFUAWOQGs1VX8XhLFmvpemPhnFsJ4EJp5fMYZskQQsqfYfD9NJDx6cnQ0sTSuR2L40hG49L%2Bmrs3RoC4ghACgxYOijJAtdpXHsZI0rFXEhZYgy3algwWFOreuLxQmZTNtXroCxgYhVHmAFChJHArQSkYK5FLPlzPCQ38AzsClDlC4ke6RHiVatgqkBMcH5a6mGXLmcLkgxPCTi3IYssNhBMcXoBJkK7iAw%2Fq1cJO27YZZ1dgwK6TjpcOKZhOClzaJK94ByvnLhalwYwwHNGbpKKrMoiCUVvMU4ZDGftbGmdYDSWM4M18njvCm2QeRAFzCJCDrWq4fFsh0jgTZAy3lAyEhSb5p3l%2B7zqhPPDOxcQ5kAj9XEi83gCXQDB330FUKUN8JTMzokg%2BMHLm0D3oGAQxNjGVUC4qv3mNqY80W8Wma%2FG%2FRJg0Pokw2Jil%2BUKRbOEH5QZhYg2DwSICOBEYPtpPgwWBiCfyJ0YCZEGKrTfFYsGyw21JEW52PoQdw%2BSszylGkFpTMhd5kWLnyTIQai8z1ij55qLRN75GxKwkR9E1MhMUCbxmmw63GyiBjM6OORqQNMpJtSUqMssFsiIRB3bOWC1CBqx4cDrtymvUnfKZrNpclIQX0iC%2B0SWyKIyxEbrSIkB4ly9nnkYJu6fFFI5UkewzCvGzpCmkfDtvWO%2FvOQBSKG%2Bw4WeOGpxQqahRKjqs7pmglalwleZKZnV2WNi1CBepIZxSes8CtZlRI0GWmUOVcYlpvK0hUKRhWaEyXRViM53DzUU8eSDYlUJQqDMmUYc2RuqTtfeLBUIWJzpxmeJiOCoAXmCaSqYM441iWisAz0U0EQHSkfuH3o9uyZk0g2C%2B1Huy1lYiCySpvTSdjMKwTiKdQVCax08qRNA1Vs2wiL2IyamfCpg%2BlZwXvOo2sB1QB9xIdX6Bj6VzRgd4UoHI9PenyASnBA8k3EjsE1S2ipMclWB3LPJeWzSHOikaNhJsFX5zoP45XxaGhDK%2FpP%2FDIYztiS6vqMPACWcgP2kpZWjOfJBHYRQNI4tp3WUQGWpE8ZqoZEFvYJaFCTkUJPdTqeYpTEWodgDyHYOTQomy%2BoKxLC8BtejPZfK3UMphCswZ56qASoLK60kVHNgZzT8%2FUWcqkls5xsQ57uoPAv%2BCrnsSCROispXTpjPKe4ND10sCf%2FElOsPgR%2B1K2fX5hXhJfNGzBWCpiE4EjGUBgUzovLqcdL1yqDbTutsHLe0YqwBcpKRqcP65%2Fvot41Eg4cbCrFOObHzAyIO3Np2zmgIymMqrmdZ5wgWiOKMA%2BV8kKigbnyOAnZzQK1uMozbw7SBWI%2BtpCLJTN4yFsnUOPsR6JqbOmnG2mYUYJV0I%2FFDRgDb2YBKeBAzYRv4d82IRIjKNJ6kthxBIf4f6tg5Rewqogb%2BBL89Xa%2B8Y7mPwJBnr%2BqyHL3Me2KqwE3nnFG4NiIrI%2BvziW0DG1jcQIHeE7iAwtWHXwFYTmEfOmdkgt4Pr1n2vJwnSQymN0R0NLRTgAHjDVSIfITmkvlvfz7MU64jgUChw5hCXsYgG5gXyQ1osKsxCRhvPgsghFG5zI1CXCBIAwKkjyKLeqBc%2BfEUFiCvfGOta3gR%2FU26my2RNT0gywIO1yxoMTM8Mlfo35lpDQ4jfU18jrE6QiUumMhcIndvm8iDoRH8amzyNFXNUKcSoCnh5AQYr61lElsUE1avUS%2FnDanpv%2FZFa3VH2JIq5OrC2wDxYOhlkZf5BIr5I2JAQY6MewSa45Ob%2Fz%2BEjpgzBQTlG3AdVyHpu2GkjfOxGCSQ%2F4KBsYV%2B4WC4tHrRIEC3vi8DWBGimk2R3cQNWDhpiR%2F9KQZE618tdreVPJR485XjWwoxbnLTn6IZ4EjKrhRraDtVPs4zmDldmpWjWM5L49vWKkkh21cJ0GELX5Hje5CUKJRNkIrvqKWk7bw8b7gYD5fEhk7VgXTHJI0UsIqSimKH3B62CsLrQWXjB%2BoWwKWamDL6RlAYnwhMdNFIyfJuJIyo2hI%2BRLmmREVRHaJdaBYDQo4bDl91nK3Zy7hcqlXpT%2F%2Fg9jl5m4DVYTnaJOAoq7zjeA2QzPBWRnDjFKG0AJybS5gxwd7oVkVIAgAqWCrwA2TuCFHn%2BlQSxm2EjeZemixAGSIByWTtmzQII9iyI6QxlnEfiedIUpRSDRKzAojtJx830mEfqcSqHRLRGSUmpIkhYAfBXhL3h5wRAsiPnzp5CmVoG70nYHSlNBsQEOYNSYjVHmDMCMyyhMYHx%2BhksBoo78rYc0vB6ClzXpCsSQL0xuJj0lRG0q3NgS%2FgqHn0%2FdBeijOqfmwAAwNmamjdRSr62goEAhLCK0y0mqVtUz8B3F3pE3rUMN9wQoCtpvRAK3sFTK3tcPZnt6Z27rdUEcCb1qxd8b7ARVibBsC%2BRyonUCCcPwOsBKtzEuPpnx3V%2BQo3FTRLkQsTzT%2Ft5GIpAhUffp2BuiRh%2FhQEK3waIhUoJczWFQtyb9PP5ODdKmoRpQHa5EoivjH117VzUEyb9h3I8XFhYGY2GgobkujLXrm%2BbJ7HN7wo3WOTojHaQLy5ZQH60wuIar4h1s2FLyTWktIBtEtP6PSDSPebTewSizvHczvHVzmh8LyM8TZbIzBlYhsTDRW2MtA4tMbKoUyaOwZNB0EcTEoAHayrWzlDMhazQx8GCH8%2BXZI4EskKhE1hnN1De89ZjtBMDWCxLN%2B4bn5AnyOhxpTflbO1kA%2F0EGhUliSyMtWT0UMb%2BqEPinhEFYyHEbAUyp8tYuqYDRipLscjyGJA3zbmKdMTMI8V72v2ZQ8R1C6WY4qjndJBCREkDNEWaBovAOsU5JvqCCECn5%2Fq30Wfs27Q1NX3PB1CxWQYK4rW6gl2DEhCJLvzF%2BBEKd6LLjbQMVuJRpueMSQJN40n5WAdyXvuYQeXUQsoQDysgsemARNTywlJKFiZeuo5AiRfoTmTq6hkwijNVgqADIQ0SrFqBN9hK5RC2ZzmikwVm0CCZzso1HPlzzN0IP%2BQCIQZ%2FzA%2FJ0cIiWLfbbDGvgdRmzRiOWxhWyl0iXpQfpiIVEQuNo2d7rj0OZeiVOeay6x5oKlhwZCcg8KUij44xrtH4IX6UM37YQMPXh6QvlpkcPG94IVYA3iwMJ0L8LuuaogTlCTJsenAjL0PQ7L1Pi8hmGJdOqOJeVo7ECLPOdRHN4hjBEITrTPlmX622a1Nkllc%2BXvRIMYsWFbQasKlkKf0TuoImAklJXaN12zLmMOiREi6fUAhVGrkOVhqjWR2eenOmgUY7GLcmbnAqWpftrThQTmBEC5zJQBDcPyN4AoXnInBM2UJew3uo3Osd%2FVotG4JFRB1dhhN21R2ig74o0Jw8ZN7VnA0lWB0lDFZ5PDtyXLlhvcGuF0S6Wr3U2CqpnkDjwB2mBQdPGRuL5x1IFo03LEOsHEh4MKRvE9edrMh0Snaf0cShzOIJdiyBYWbPeMzTRGYsBHAfX1laNIl1ZVxzggRI5m51PG59wVXQ7HQGRYRRnGy89qI5okgmTpsdUtZgAxPvJ%2BWcqIbSWx6tf5yN%2BuJkKOjROUqEcP4y6WDOTFIXxQkr7hHBS7hmbyT8AljD77OJLW4CQGYAb2Pei8bNTgMttEECV0uBXZksyIJd39JlDyojumSt0T2TM5i3S2cviYGBEzQtmTKzAFB8QEcXkZq4YmJ%2FTDWdYLS0Kazft%2Ba%2BC7HwNZAJaVEY3kfqPHY2SBxchsqiGqJLn5a%2FmjEa8QgmABHka5AWJ%2BG18I9w3WjonkFGEwKhtgp0j8YPUeYEncSOLNhhwVJnEiplRLfp6lN7z5sAMYVx%2BA71pVUbhIzIaaNzUbAarADBLMSSoXqKXumbEiOijClhzIbSA5gGB2qtutd0MjQyWBaAzJmfqki7MMaEQAOCXbwaXixbEGNFnHCqmWg8qjxIZ0oeAxEPKD1A7yRyuS4AIRwOrQJ6DxVHVPpAc7aCkBHpHC9GMxBqe9Qt62zjQGJy9sjB5efNIj3%2Fyv2r6z%2BSM%2FzuFE0Za9wOJ37u2rcQy7P6SvWZqCuEJKtvjAUTarXAcyMQRrVOlrD0HTsN2KDiUivtwmgj5U9inAK5%2BC4IqL6iNHhU7OH98NmQILOWxNwJiPwwlnf1QAEMLagJuGLoYUdlqBRDn8QcRAg9AuLhe4myJn%2FEoxUfepXHhZ8Dk0BKaH6znSNmNJJ2IRdEvxoTfFkKRNn0cEvSio6ek7OG7AZljFvqNgRejEgmOwp7toPkAA5CIjKCsWmYPIlxUdVDDj%2F6UQEQZwMPCocey9jKiCj3ryLWjtGlYDdewTAsT%2FytgOZKoG6jDf%2FUzE%2BDBwpk%2FPx891KJ7wcBDtmnc4Zr8PjCwfnWIE7Tz5Wh4XZOloMKHqBYibF9JCb589kpcmC6MqgAH60Nwcj%2BnBhrvYWI7IfIiYD0IThyXLu%2BBjtuDKdFNmVqTy8ELHUIcco0LUngtn%2BupQtGnWSsHRGOZxzUOEULCoCKWugvY7ZqEN0MDmNHqeKtmwQSOPoR%2FZ0KGKGB2wdDYj1CrZsodEQx2TukU2%2FMDvJyPuRgDSC80jH6IO5DbRYrS0rIXfANDM017avY1V29khrSTX8G%2FWm5HQ3j02j1MGoCeHm%2B25tIebrUOsJUhfKhD0EIEeXj3%2B%2BQ43UQYWPGKRd5tI6RgOxzkuNv3Ji8YcsIU0cpJNn1rQt1eBb5t%2Fe6vSIMsxyrbVRxAHaSs8%2Fijk5AW1W3ajQf6DP51FkKbjEEaQp7ThQOL8pUajXNZgjP%2BAGWp2PntYtYtaMRzL3lOTlAMAU2jKG8l3wMD%2BbxPb8RDFLiiPnwnwm42DzJDXbmbGIZ0jLkON0Ub4bgHg3f5pBR%2FoVAu0YDFztE%2Bzps%2BP3bAAWSgSxlY2S3LazAF0KZAmzACvKJ%2FMz0beXxl%2BeIEFgZCLRMTD0eI7mFnojAK95ZgCTCfQOybhXCo6576fGouBIpcPFCU9ALkeU0pQaG70p3LmSrRNvUUN3vI9R8lCXjgQBKD9twFivCVAT47aBVWQPv7zSwNj8Un%2FSFG3FqLOS5c%2BWZHKZKVGCPSmIgHEwoN5C6HgtxiaB5%2BUvBrgQmTbO5rMJ%2BCuldZzfzxgdXp9XgD508hFWCeR8zw0tDDW2xoicZACrgqgnQ48NRFvjGjGQLa0bZ%2FYIPRHYC9plKdMERvlMGhAQeqDBMhf6LZGmyElMCwEIYOo1BZ6PH7%2BWHUp1YWZa7wqK1XoOCvECZSwoJH1Mkaogtg1cnvzmDI1q5S6K8zNTnhUkglWVoNqdHdJkfg0Fxp37eM%2FnNEjkRlbYvQhIWSCHT%2FqEBqUlbxYgGY%2BMSFSRxt4bg1PVnRhKNZIXooJOn0HVNY%2FcfiwOh4kjntxHmybS7MJkM71QCMhZGbYSMrJ68qAj1YN82a3v5utE6PJoWbuOva8RkRMPNZOJG3h4NcQ9LTUNP7WRG34U%2B6pZFDjhFpbJyEq7ddJp5LrxHhOcWeKH5m0I1Q2anhxKm%2BO1yIfm7BGh7B%2FjqYiPKEBJ6cFrT2ZB6TmSyLIpnTVkU%2FYqVla2WfZcp7SSoTzv6vLYtG8AgtXlxfWZxN6Gzmta1EwxIU6yE9s0x%2FZlSkSYE8X5a7%2FVPKA%2Flig684F00nmacRk4WooPYSFBnHTa1ebr6zgD%2BMcOV4BeWlJJLrL0qnYZSAVtBA5UxpOASkxyTpYRBUMiUqxjxU%2Bce5iSPwywJQRsno2JDcLSzoQnpUALmNJE%2BWSFPdsteXHMocr%2FC0IqI26humQ1wKQoHcGmUNYBVwIFZqI1azUTzdFmIOugxHeiO7FGrlsIVmnE3L1JrCuYeQCJCpQc%2F0JCGgQIe79NvrOoYeDQJ2REZcyhK7ihxb2NeHkVj0aI0LIicFJjQk21YaBO4G64TBu2IKBTzYheH2CASyWnlbZNFDbFlJqA1Q4kIljGpwnmhmXbOSQEgWsMmsHkBZYKRUWBv9HZZ1N1JSN64WPlCBOt7zqAJMKpczyNBpzQk5o%2F%2FxDjQg86ozQyN4waltVoDaLJOfWjYqewlULt9QO8N4AqlP%2Fo1ZIqJMaZ%2FORyILlDFoGoeY2%2FswI7MBMVXSMJXCUeRsJjHIU6kNEsAqZoBDoHo8Y8pZtM%2BGL8OLfcPdBbsbvRZuDQcyyrZ42OoTsMJ2GH21od%2FRCfgHrkeCyZfMOkWTSYgXtqYxGIGLcI5gKg%2FZR2xnb1upteR3rcNGITv8oKHpUWdLK9kIZlFfEtPUNAgnOY66o0dWYJq2a0UT3usCxxDZm0UIViE7Q13vLoyXH6VgLZoJt476o2dZ1DSsnihertfmTnTdREBRHm5ASIGxMbMSITKCmV5fMqgFiewxFtxqh5yfCPkmlKNcrJfmvyKlbaqps0Oa%2FBSPXk4FJjtWF2wOHfpFY63qA49US3T180HXmbqEjYsSpRFkkOVMCBH1C9JAJTRgjCWNAjl2MSA%2BvZjADldAJGTIoWBOcOEUI4qwvBSI4hMj8m7WHoFosA0M4Q4yS8XtN%2B5emVGJDGqX8D5SVbE%2F0bWETJRyRFYKQ8umFTkY2ZnV9Lz%2BVW9hgHq%2BHYhsrghzcANy%2B02yEIiJuDFngZnEHSFnTnqDAicaKOgtLZkRXBqGS3bgcqBK6B%2BmV5G4%2BxzA1IlYTTtL30wAPCkFZuhlgsViFEnA5Rg4UXmBbXBAW7JuNvZlXTVsYDMV305DdUPX6QyUFMwndSexwLkpBDsIQ4lUnD9QoEF8QmpcQk8FJckIIkVwvETqBSrIvHRim18B7iqFwNCcFoUKmSj9cSfX37WL%2BCT4mAKH%2BS76AYlpBE3eYErTSL68qrzEKiOZo1mbN1ujQapDrmTWb1s3iBTeQMCYcYfVeS5ks0rTlCPWr9AjV%2FbgZ8To6s7qOr3%2BkRUCKT5GAAUzFlHOkmV3fJEImmhCZ4S5ivYOcC3SUx70Is%2BgfKTQfQBsES9NEX4x0WTcQkWV5JKEJNl0UV8pDmBNnC%2F4qRYIkjLTUknCCTbfLBLJzy4rnSGTntJHjdpYIWlqzxK%2BG%2BRBy22IJ8gMQIibkjgh8Y9Q2H5aenHLwEJg2iDmhQybR8G3gfKxBAZwppQkDi9rFMfLSe8Fgalu2z9mKNwe%2BF24HWYNjNI3zoQfXsIck6YiAwCMhAsEDMvxfp9PxAAxF94h42eFp8V8BZxS3g%2FoQhPG05yIyOc5GxA27VgPq%2FN9uxGcdZCP9PAWYlmmiIlMHE%2FRj3IzE8YKgGEh8OmOkN4KuO6GYyNnRhoWNSgmY9%2BVfMfhBm7xIwZPp7ggg%3D%3D%29%3Bsrc%3Aurl%28data%3Aapplication%2Fvnd%2Ems%2Dfontobject%3Bbase64%2Cb08AABFOAAACAAIABAAAAAAABQAAAAAAAAABAJABAAAEAExQAAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAjPL%2FpQAAAAAAAAAAAAAAAAAAAAAAACgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzAAAADgBSAGUAZwB1AGwAYQByAAAAeABWAGUAcgBzAGkAbwBuACAAMQAuADAAMAAxADsAUABTACAAMAAwADEALgAwADAAMQA7AGgAbwB0AGMAbwBuAHYAIAAxAC4AMAAuADcAMAA7AG0AYQBrAGUAbwB0AGYALgBsAGkAYgAyAC4ANQAuADUAOAAzADIAOQAAADgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzACAAUgBlAGcAdQBsAGEAcgAAAAAAQlNHUAAAAAAAAAAAAAAAAAAAAAADAHa4ADV2ADV8AC1cEs3pishg2FfJaEtxSn94IlU6ciwvljRcm9wVDgxsadLb0%2FGIypoPBp1Fx0xGTbQdxoAU51YoZ9RXGB0bXNPyK3JLMApRwa%2FIMy1PPoJDx39kimekZX1c%2BDSW41tEZBuFiwdwx1dRoPVA2vWPSlsSDqhNkqYfhrqlVUGD0J3HEAgZavmtLnDC5WBriSpD8Uk02KsUkJ9vCFz2CZXAd5viwGZ2xcVYRPa1bEIai51nMYlbL2ERuB2TCzLAbPWWRZ3%2FsZ%2FKBjLk8%2FgAZzK1OaxNw4oGBbsNhx6Reg5HRFVCrwa15kGmJEy5kX1YypVm%2FHo7TjKP3l%2B%2FnuCTOyiOa6S8QEJbuiGYNlCnM7tHChCHRRQHXQh7yPXASlcvc5KrNKol6orb35kbo%2BiEwl8d230cfWPwTy00bFDRYURYGchbwsoDcaR2AJsFGCrbWCzBdQ0qCobWwLfueqAzSkzaHX3yCjDlGYPV0VZqVXlqbr4poRaG5NNPMDv5MCHkLSFyABMRBhMiGSZiDgABYmwsLWDjUZCUnHwvXt0VAUy4%2FqjwVgjfUqp1evzUqutJB7DW99Cq5aEhGePsa4omKUp7LnSQUz%2BZq51pU72ApMxkaVZE9jF3IGKVnF0GlK1E6iqLJXFzy1BEv6Kr0ngCzIgVANRwCkVHYJj86Sv2dzqgVrjYKlg8W94FbPGQghEbTakZ4AoS9h0u39DOoRJTA2iirs9xa5m9Ir0KwkogoqFNVDbTIGO0%2FWuJYfp61Kq0bhgbcbnvbTDj4HBESsXMdvrvpp7Owf%2FS2EbndoEoglO%2FjigGAuLUTUmG07ZGlRCZ4QZLu81tPEgTtAvF99BxfnxNslgVYH5Jc4AfHwsiktDBO4wjgjizFMsIeBTGmIYrhtrK3tvtBu5tYB0PDMXILUkFYPM%2B5yLLGOU9DtoDLYWLQig%2B8wNRZbJZZWeK5JyKNwumLgP7X6pqgiZMFUvfCTl6Urx1gUOjzhcICumUUsiNESZCmTANkgHoh%2BKU0t1fgQYOBkNfp4MRiJysezS1Vz%2BahE7ohM0iJBn4I%2BT9RJN%2FuQk6SjQGwC%2Bom%2FSD7Zq2RxvcSjtdxHfo7NtktA46mEg5gBkTtMKu7oFb1KgqwqBLzQqZI%2Fs4QSRhYF3ani1URTcMD38kDDqlc3DChmYJTCR9WpaWrYFiXeNi7jYa1Oe%2BSP30gxVyeC10DYOakGpWaU1qkQ9OXlujEbM4A6A%2BQ243TA2QnI8mKzNXNo1HPN1CFawST6uC9dkyQTqq5bOKkkuGjz0nkj35Sr%2BQ%2FkLGg2iQMrTKImSGshnX7%2F0Jyh0JziDbTzxp3IrbosXgpchLcBJpLLUBrFbt%2FU6qXqAaNFJoeBItBoqgQlPZkpTq31s5VZsgIkFupAno5G9oKwCGRqv5294xFqOrEpewcjx%2Be06mxDkN85c0ckmWmMzbkFX9YHAf83p0EsnBywjZbcPxZw91kqg7voxasp3VfDhEDAufUx0MTddLO5kCyKkUBwOm%2FMurQH4bJQgK%2Bp14dkBBhgxpBUkTlSbTE8DDu9qKiDSCtvmPY7FRMn0wuS6XR7J%2BnpjjeaDNwiOgIKUWCP9aLb%2BXpc4toQCryp6gjCVq1Cl1Di%2BtEx4WnBp2hmGZpEksZwTSggXuqAWD4B7WAMcir2wmA%2BI43ECxUSeTDT%2BxgR3O4XFPOGxHh09lxpScampLahUbICao0db7%2F%2F%2B4CBMcCokQ7aOQ02MOzh0NEaJGGOvPR1t4sY1I55lNfQ3IkF04onnAomXxiNg2EbBbPTMBBlv%2BggPSmkb4GNFW6Ehd6nDzJlnIXFfzr1bVWQlfylDodFBbhCDf%2FVB13j441dc2rx3h4hfAWIJuZqbH%2Fwbuafg%2FnTQJ9bnMfR3U6TwYgDQJIOPOtmZW4ZHsR2VifZGaC6Pzv4ZzC2nSAaqSe09F9MxuI4UmUVA2RAUqBUIETEIAhB%2BtBhsxhVMXUmv3RPe1grhYWLM%2BPHwwO5W069qIgDXtETXZQ3741DSk%2BvO6y8k%2F7Mg6GFC5fSK02yXZ1XV0NZe8iknoIbSFnDm%2BbMP%2BBCQhoLKOeU3FVNQ%2BgPEntwkHT950cQYEYQc%2FXuL4nxwcRW2bIN%2ByskPaD5Rz6lN8LW5IDLYfuvhxlLcjWXSADeTshWsJk%2FHCuRbwjqLcx66fc6UlF33HipliQ1cvfKlgRpVcsmIsiYnJjzJIovUyqi%2F2OTQcIwt%2B3WW44BAQh%2F2GymOIscSpIt0YUePiwOCJN%2BQ60lqkSRbWi10lotzgWZsqzEI7OGFGeIoFyqli41%2FNn7LfLQ0qtxkaAwbsKZQ0D9s%2FwhBqoxhAlxCVNVF%2FJ6rsUBQ49MLtR3ICtKPLKZ%2FQPEeIRgWUNLbNR3v3tTaL8uiXO%2BOj3tSJc56KJHol9nGPuclbrQpCn4keT05ETSOQ%2FDwwKjCRLgIzBi7x%2BU7ByTZGUWcGLPY0VtXWC7kQ38C5thIGJx%2FxLM3KsoGyRwC5AFUNWPzU0QBCaVXo6z1NCclLuPVA8%2FwWuNhiAG9CPPSSlIOCuh2AQM1d6MyIEIQArIa9YenQ5ug37h9gPNDHVLImcjE91ewI7pz7HgOEVqTD%2FjREYRtEoDIfgxzDePkVvHWJAtcpCJ%2Bg2o4akZpphRUQ0U92lJcKZGJI9mnpl8UVzpMi8SBGXUAPpgcS2cDAusSE6q0hNibhCgZHLReLsA%2BSv8wF6LiDL3TogB1DsO%2FHeMg0ETucRO2hIOvbp1NVkFMclluNmBQbTy%2Bosr2bJ7oWdUtSHi1s%2B2vWxq8njY1eW4BCVr2EqSyIUuFKS9iwVF5FBGeg0hRcHwCKMtqYLBfvVSYXHdGZK3Ug95C2d%2B3t9ZWEYqq6F4TocgcDS4tI8cvEEXK1%2ByB9RofdKpHoA3eP9%2FB%2FEBG%2BIgvmwZ4Iir1SOYFEtUG%2FoVkECQqoPTdHoNpQKpA9K9k7TisAUBsKPtWgBriyeOxs1o%2B4KCIFumN744dH3Yf7X8F426LGtEhFLULhlKFgXF8Wq2D6kFSBkViLad9D9U%2FP6A%2Fr8SE7jsr9s%2Bsb5ODWI5uS6BkZJI5RQ5QDVZ5%2FKOG6Dzc1RLQKAdGkgwLiZLQdEYQ9yhQLtD5kWr4wGHTv4GqloWePyHYyuy3Ek3iQVQkdkAz0MxcsHzccdMLO8KFh7ywo4jXywraIhIicAI4dWdD5wEXBhsMklzbWc8zi8opC3IlPsLXHCWOqOgq4iPU6xyDS2tdSLnlhSFjsCCWvMRt5TAI30EHR4f16NYyzoG%2FoKgCUsW4182Wvj5gpb0bGGLe8YRIYRGVgF2hwIlEfm7eUwwLZWW%2BmmBZPggPnIKI0b6G%2BlHCncx0wkaVPRQpZKWIIrzh4yC4Ar2vTKzhVKSutNi1dSzmM73AGUXSBJrQH5J4Dfb%2BRU25tYrIVdLr4ogiwTE2i2hl39ffJWHNTSWq3PvVJplNqDTJgJcvCHYoQAuHeOew0gZGfmX3p4D0aSr1BhXbXRA1qipfS6LiggtiT1eDg4FTCWwCdAFC9FCOZ52EdrFetMBxUdC0dfnqpr0mELJE2m5FVMvwplyf0XIKclHa6%2FQrw%2FFOVkVKK71Ab5iAVWm4GA3HnkCJhYkW06XJ3TDGB9YhVW9RuC39AFUcFWwU5eTNzuck7IQty7ZC9IjAGNHuZhQ8yDWZhGUoNyhDcKYQiUDqAC782makzJ1o3XJFIEDXgObv%2BTlS%2FdAr5rn2C%2FCDmkI0WO3cSTJwSLrS5dBdkyfpxAu4XghB3jgGShG8UCorOibUp7NciZgEDLmT6eOxDegpLRk7HomganEaTmRZAAMrhobApDjFWtOxht%2BNQngtKVgGL2yy6Qnsmju6DAg4d%2FRvxHa5mBaEMcBekCMtwaPPGeKFPMsgAJTidusMLUbTAUBJMOmXRwhONkoLPqBhpTuLSYN%2Bf8aeX1NKSxF2OUST9ezObkHETTsr04iWClpoFDE8OdIiDPQJqkHhnUPTcE43OsKBGS%2Fzk6F57sqVmhZKjPxle2S%2BiIE%2BMXOiTOoRKF0Q7mbNRYGPZDp5eIdPOZHboa4CTvwnlZb0zCOW6kZJh6klDDvYghmQ2FCDKB5DD%2B0nImiNcfSzaGT8aSPzEZjMQ2GPpA1Ws4Xeysyv0zSSMVVsiOoiowo2SfYFdapUBsWIoRXMAKYdguyVcwqX%2BzVWYLiNddi8p%2BxMV4dQIoUs6SQ4C1%2FBjtBw0ocOzLmMkEv5D8N4%2FZu4gYA4ryDb5Y3gkIxdb37qMCWYmDGgsyEE00y3BZ4FgyT%2FdJLHxMQwx0gViQjWL0QyBfcufCgRYYGiCHrxez874MrcqldLCEQLkCCK6pWCnULCh%2BVK6FW%2B1nm%2BN668e16QTKWprvRw3mkwitjPefHt5QKrVumkXsvsVrHdAJrodfWckxhhzknXZ8cMVIvKphJVfhvWbhoZbbgo3fygOr8PlKcVEYLTmUbjp8rTFlPRtPrdA8tljZ0REfnhwApCZ65Igtn1gBROJdPCCb9ZIqlQUq3W89ZjSgSnUz8nEBW03JCcQ%2FSxouQtYBE7ichYHbASPB5J1%2FzVfPINn38CqTMws1KKo%2FyvNXpDgBvCI08SBLSwX5Szp6WlpzoPEio8DsNzZQqgUMoq0%2BNMALrygrOlErJohXvIJ%2F0IqziZok6OuApG2eoGAEFsTc6yWf9eRcklYZRO3PkA%2BW8aN5ME8aLNC3Kdwtm64WyqytOEW1WQIg6bOFHAs1ovo3OfCvvZASxBcxg2SRCRTTJDBKajFH0LL1kSBroe6L9xvVxMCIFS7Zo6y4ZOEIkAI9QtGVIKKBlCvUUEq2S8FiR7VkJGbvBFaS6UzQV%2BayV6NKw62tbJbEjkJ7AMC17DK399DZr%2FtE5sUtaAPwaHNj9VCoVB4VAG0iNI9IjDo0mr97FWjYeDRSr3pstZTVZ6nj5Vp3IbssG3g0r9E2eSmHY97LYobIHPnEGkKDJP15WPWtwMgS8HeLd6NEnP4mIFlRJB4zLeDeoBElpUNRIQMzLbRQsGLj3DZhQytDQPLAUE9JWHiLKAJxVTOJNZsObEiutLqwox%2BM51t7vJQhBeQm2i5bTa4D8qIUjqI1sL9G6Vha6U6IPUabeCUMIufG%2F%2F6USyxymXNlfnVinkNvKZGUjz0EWKIgZEC4WkUEr%2BgP%2BFpkIPUVM%2BQEJPxFxKDlpBEeiUSaTgCm4sEfRnBxu0eF%2FLgLp0IFHMEt8aZrsQzTF3wRw8TdpzHNGMZrHHa6nU8KCQppWBVpJ8b2Xjq278mtoTfrgfAMSAm3cYEcDw%2BzcSsXTaUyd2PH6DCU0DdBiauxpsyoKlAh9IUAzS32X%2F0d3x7h4gL36Q5sC4YzkbttmSwhenP5pxxrBEEcoAohUGB1jHGtB2%2BI0FEcCM2y8EY1e2NPXJS7wp7APp46lC7gSit7FEFQCIDnNX%2F196lJs%2BgXTyJrXAze%2FQ%2B9GEFC7p5W7W5FEooh5QlO01B1OcYDH4VTmRSO8fHPjRo4FkT9GrnUZw9pXnDplu0YFyOaAsLOkxdsu2gfYJ%2BDzBNihSUutbDbDy7VKS3KwwUTChYQkWCmldyS%2Fy05EvDGbLbpkDfbbHNGEhTSiaAEDmoKTERX3pEuKYJT%2FlNS4IawkdDACC5Jk4hgNa2EGV8yblsXoSHDrqHDJs4JDXLLA67oCyia7LABDzBMInY5gnZCpFuyyuaWXjKHRgy409j2wNaI1bGlosUnhaB5iqHHZf2%2BbDPpsIwoahsWRL69BhhyPHQBUNCyBR%2BUJzMOBRMxTVhNsS0%2B1n5kboqmNZcC%2Bt6HYVscRaBeox%2Fvv3%2FxwdoUoRvs6CamykRGihd8HTNaL%2BxRuoo3QVZvFT7xS9opWLiNbQRti9PXbNg0J5WDsxaNesdmkYOcwpiqsURuor%2BS8hhgWniGGll%2BtD55enFSsyATy9MonNXUJV5Q7eAouzR%2FP4HlA5YWBYYjm6NDAEk%2Bx9On0MGm65%2FEm1GKndnRp4cv%2FjFAdM7hnXsaXnGKAeK4aE%2F6BhOq1%2FAWmgCMQ4zC8G0wBzhuMSeeVhgAl0jpwicoR64K%2BBYlYbWz0gTGAGtI3puhx3F5%2F5QKXradYFuhJPYWq3ITCUUNLpugdVBegedngCO%2FDN5mJBWzGEL932jL1YntvCgzzLeR0WczKl0J4g8Gcbo6p5LOslpYBw4kE3ZDMiHPjBGyAUjkrWXqYTrl7gRUwex0zKVekIhoI0dsFRDtQxsLctjOlRs5Y2gYpQeBORQFR4C3hXh8EnZUzuloqFLFATXzpzv6k5XoHB3fZLNUiPV5DvAfroLwH8tYhkcOxWnHqePfQulM0DCPTadXa%2FTpoHYkh9BeeAwpmi9Kbo%2Fm88ob17pFzKP2lJpfWxbyD3PccS041A0MQWUqNDHOPOFt57Q6TiHQEKJQsI4v1JqcD7Q3orOdsLvExRQwS0nlUtV%2FpQbx0wSlrRSneWAQ%2FJhPaT6rMvIcid93ahrnKe34YxGA3D30BI2lEiLGh5iAUkBLBoXRshvpjGJGLzGcvonIqzVubgEJv4mbEl7JggQUWb6AYaQMmGUXEwIjylByVLbgcEbUQL5RFiRkX%2FbOhzb9XavzmFpR0cOdx3etgoaCPbiL5gR8o0wJNdPMCYcmyP0SDmmsW8o0O%2Fy5HNRxqz3IhmaxvIT%2FxpN8Pj%2Bx4i%2FGawfTOod%2BpvHN9BMNQUKG555l7yAKsma4r8JwVm6gxqBECXHA3e%2BdCsONR41WrcokynYzYqB0xlCdg9Nu%2FVL4rgwOiTVy8K70TghEjAOHeFBYvGwmkrDIzlwQsyBsr3K%2FEBFKO8UQ6J1hU%2FYGFA8fGgTnBoNnAmZc%2B9S%2BXnpbpJ4QKgdip6TZnI6woSQaYgxGpdaxxSuQkxu0avCBOSwchx0SS0x5HgR6iz9AkbeoDFTnGInFfbnMUP%2B8p3uSQu2CVkHxeVeEMICXKlVDsj89UY7AfyMvxTyws7ilT3y4zYSLVToLb1IwDJHJ804mZKVSKgSOa0mHCQrjWQLaz9LrCiISicIHspx5moJ%2F3Ng4rjU8aMqTDl5gjJAFgAMupkEoWEalYEtHh8CvvMqUP0Ra4v6BRr%2BdgNXFRLo%2BjKWRhaP4x63qqfsnw%2B%2FlDAo2doOxQP7GwahE%2BiZ2OX2l5DodFT8bGiL0YglcRmgDoYIEaRBLqdbj7HFD8xfZz45H2Tg6upN9XjuGCxtdxuVuRjssowtewrBo9gBM3T7d77hNjF9rd8QTMjwGLx3oWax6aa17t0I2gcG6kcQgw%2FphwfsB4gsCGgMGZU8P%2BORAg4iQDmTP9XqByg%2BjtRqWtpaHjiHSL8CNah084UP6Rfjx8GU2eaRw4mH%2BA9Ad42DummqhAj0%2FeMNS3V8lEHUSc1ntW779KspgJUBtJQEpS59ODiBRghAyioIrf%2FKoPh0eAJWqxh%2BSurG%2F5xVdzZBLgKEiYy4izBuKhCRIhfoADEt%2FB%2BirTWSOZVkcfzWBbA%2FAO817phMFhWQnvTwzjirEna6JgrjgHyk%2B8nWk0k06KkkSOOryl2OrOta3U1Vai9SLWxcE3cY161P64wA5VUgBExRGc8qtWCkEHIJfWtybVbTm%2BhrXnbVSsP4ucJTC9onJ8N4r9lRaV%2Fc4a2SZKmPNCgEUW7LDBXhvFxUvZYtnIuGD61WQtIrDXUc13hksUbImFeHrIBgvnG4ogmKBk5CClzY5DWqCCMzdrHBGSSOTyO%2BE8inLMGSApQqKJB3XKm%2F%2FMFoO17KuwfwqcaqjAyaJ5JOWW1Myr%2Fs7ZQiw%2FPqVAMH%2BlK6DYqjGUMcAXnVxy6z6CDl6j5mDa5EG4j8C6pr0hKyRNnoiR1vl9DWOfC2%2BM4v44bO3onXro%2BNlz00ZlGV2ICJ5CcCazVCJHIETBqVFhGT7KSBdNDv5ILpSacSTL0S6fX%2FP1CEIT5NZgcwpI0rkV7LqiHRoLUAPjXEqCZ5mLntX5JkkUEelCsU2tXCMZ6cZivQI6hYQNbXl4nc1sSNtBUTkQ8Y442KxRe7Uy5yOzB%2BUlA3MhvFmXweJJj%2F%2BG%2BqwJFWFLNYp0JhzD%2B4sl4JYn6a%2FvShCCo8hchMfrswjZgUqiToKfoOGaHdIAnKE%2BiEedBkyLwMSoNVX83TJERFy8PLMpBjsXtBITuS9lpPCTVl%2Fvs2Aqzlzwnj7lpl6VX%2FQ74tWqUSzaKziwue1phr9BpcZjNc%2FGXuJUq15TMDnCsJS0X2wAtW5JQA5MaTyUH4cDRif3MDxZx3Se89P4WSIvEEeLjToJbXf%2FrRhBMtRevJxuf%2Fs8EK4woZOFli3yTq3xqjBjrlierqgmUpFA15HFkeUOuLDjuhzLDjAGKK6WThTynzd%2FtCQWU3Nzd8%2Fa0q%2FxwZYn%2FUPEHU6lsdG%2Fn8gN%2BYACURCU%2BW%2FldrXpdUK7WxhgWmNd%2BLDoQFCU0sFyHn3KqFz%2BIg9e2C5oe9EOi7KdTBxPE1k4k5tkX%2FoZzSih8DJDFd%2BrITKNSsAAGtscSW9VDasqkEamMzeUOhRqRRAj9lc%2B7An2YOdL46GdcOLAsgYaFsR9hs0ToUzZ9rFRLG1%2F7eYLz1l5ijumbe1druwaHNFzZjtwt%2Bn7paZaMZu2EIx%2BlxX%2F2SBrWJQQM0wmE19eWrGPIVMeAzVWWRp76m1skeqzaBBZ6So4eD8Gpv31bn%2BnO4WG%2FOg%2FB7xQu9kpA3eZL3w9cwzrZfMmbUSk5OiF3Qx7bQYhL0VoUQQP3Hmps1bBJDQU0qAJpWwnb4iFOMBthzwP81ilVnh1bIuk0C9Xe%2B1kSK%2FK%2FMYOh7vIa7ghqGEKzCiHrehs3cA1pzgec5NpLDtCqMPp1GVECA4QZKiZX0hQ%2FGqjOhhObmpH0vwx0WHctTrmGC84Ub6BOQVdXIqoxqMVNhQjd%2B0CYMRk1zp6%2FPnIOsW7k%2BhQEruSB7%2BDEGv1lziYEEwur9gsigQBG8EJ3zeigdA74WvD0h2IbdNzPw3okAFsdmi3qKH41lxijDPDtvZcEzXwUnRNn4WpCP3vPNHhO8czUiYjRn6GRIQ4SymW9MhjUu%2FjbWOhOqNeh9OSRNh1EaFZcalxYnJMLCpTlEDttzYxhNCcZ86PUpbEkFmkU5HRiAF9AahZ8jQ769NUzJGkq9YLj9HWZLEK%2BIryXyPLZHAAHsBSe5moWq2RRQT655EACRYKQ1AR2mNQU6hNdrqLyfpSeJ5PrccWf3dXVxmIidWyyIkCm1v1oFYgyGcXwrCRPXPMLYHRFvGVuYyAUhzgYntJmDhE4VCNKoSxWlSFiFuMGumZHJnCJyAdT%2BHcgUhIEJZgWOjmy%2FZWisKRYo4JjuPntQGSxlJg3XJ5DBsFM3kGGQjqECyjqYFW6ccOkCDy3EhUt6taBIaHclyblt3Xxs353KjciddJC7gI4cZaPj4zBxOVNfei9MW9cLUHspngSFFni3AL7sLsbqo3totPWMf0yD2bdWKWuK2a4eF5jKcYCZyvORgcHeETtqeqhAYtIyiFGAYJQMOX4VJzPjyDKiavWJRtjWCnaTUdPR6FRkTfFAARc%2B3Ln3oFDETvxxiaDT3roIpaWwEEjRlhjvs9ZKiU2o1HJOMuVRFAA5fWzMgAqSKDaSLNQcQZbaFzsgKxXWIvjaOqsoiS0kA1bx2TN4NrJBVMJcmRWNIqrjepyobiDa9yXYKmJvgQWZhEBvF8wEx0pMQqCzcf9JemmcVMROHpvzARvqDrI5WOXmah0Zkh%2B6PIozOYm78ieRAJObTPxSCLuwQiRlWaLSxJ5hgIIrjsEUKPWMqRFuMgh1FsNDFw5jPGKPTWzyiSEIS6IPweoS55G9SZZ6wcpW%2BHYMSkoSETssJ3QQM9bQRo1JdCQdS1np6F5WR9wujL48y6xB4M6Y7FMnX7f22J6F5gyYVK0QlgEQxVXFUuC964aXqqhT5cX8XaZv5hVzeTU7bSoy40QuTOUjLVShZVi5iWJMAbFhku4I5QyO1x0Pm%2BcTesk5XsjnzwoAIsmXCFbWyIZQuawuVuXuR8DK92lWJDrNrbFtNbCj5sTTCx7e2Wb0UydtbZ%2F0CSIT7OnVIY0fRntwN3jNOdh7nGpmmq9CbBm1uLafMptryjPHHp7tKZEuAL7OjXHySRjUkXydXE%2BSrNxA2Um5Al8Dh3EZC5V4SFynxsMTKCAIMqEqNKzuJCQM3tvVBjRfT7xHSuCO72a6pSo2wn8%2FaXBmKI9sW2BccnPF8aML8%2Bohhb7ciWy%2Fxch7McUey2CPGCyVKaKDX8%2BSBNgqZqMLbCgZ4NPkIF6NfeH7gtElIrOqbudNqU8yyyewVZneKXuzObCUxU5b2tecTa7Jn7SE6UlSYMTkMfCs3Q7fVCaqK5k6pf%2F2wW%2F%2FosIJEgW3skUNgQHyb%2BsAi4ECMNcyjicIITuXGyXkkRIXyN50Jg3r1FpMmaQSUl9pGxnNMp8jf24vS5eX%2FyJYlMUISy9e6JooaPn7fiuG4QEscaDgCZpra85ygZUcJInLV6C314YPJdG2UL6qljb1QV1ZhrNcFecs0j2qb5gvkKHOFxHphwdBgEJc3y8qihwdZCQpJ62h1voTUccffiDJEzkU8jbXRvLFdPbcmVBUhArEuTKQFe570IglefLJ30dWmVAtx23vIGmF7N6auVNpZUQVHNmAlGgjNet51laJgLQSpfZyxBEqLwoCEGlF6ISp0NUmhUHT5a12%2FZElPE5UGO9AVnKpae3D5llVvXAHK0FIH3uE8AXFPF%2FSwx3OdCN6aViMIxEVcqv1UsLJo03R0grVOHRogBCiYVrK%2FqFBPmGrDyXLgr6DxBMSKnf1uSBgiRjCiwL1QoM981XHZnusKIVJ405xXwx6aBUuM2YXS0jaCPwaC2Zdp07J8gxM1KnpWMqNkRCfPaYTelLbBmd97YeNAOFaFOlV29YQn0qIInmIeMFxikX4U1pEusNYtOX6tKZKkgVONLhIF9ZPpxNWGA5fslgv82Lx49LF6FltT3Qp7q4Rcu4hKczn2m1GTA4unFBAkDCqY%2BD5s2dyVIfDeGeBgwDnPbGYXQqwM0E%2FBCl69QtVYbUwkQZAtSB618VkAzCPAs93Ip9qWnBMX%2BRUX0PFxCACZQwpfvNvAMGrD69RE6JSyNNOvRD8v3gzw46n8oB8mFQiYiwgidAyJgrfY1SaNrL5QDEjIIgYLECALRSK49wPmSO8jZLnesJ8oFZjWJyTrfBrNRCeOMoaVxOojhX6WVAhhJ6dvBPZ4AbMXC37YPHBFKUgA7t8mCk8U07mFgWg3wbOZDgsEZBOC%2FApoLJL8CzpXhZuoEh0ntzsvrUPhE40%2BUUkCAm26DxGMecbxuJ%2BpPJct9BZL6lVcWLmHps6SSRwqmRJeypwrd3vNnIawZkqBn%2BumMrwB%2Fc%2F%2BIAx3X3Ehjr%2FzJIVUK8Luxlv5IeNoBQPnIhvJDZfGo8KIpLh8O4iRusiuQOtytJ61yCvQUGFmCxEEliRlQmkN5wrVLkx3CUrlDG3ABe14lLsoysj9hXY%2FTJpUb3tCvpw8Ez7Wb20lfIScq%2F6wGFIrBkgzjtNLBoYqAgJoKvDHcdkTRNbmMKP7Fha6v0z1qPmfqQzKW%2Bi9g0kSWn1vQuqaJyaTAX7hrJwJgfaPjJvb6wXroHZRAD5NH2E2KaWtBw9TGd9mIea9%2BPrxlBpyjnQhg6rLogT7414uB8V19PPcBZUhnNx%2Fhr1%2BtX%2F1jKG4nnHv2EtR3VOjo9oWEibOHX8508Tra1pFg4lnAwoQ2u2JcsDi7diOc%2Fuhvd8qexCvYgoI6m9VYAg7Vl0PRXiuCdgHdKDIIHG0j73u07ULaOJJ60Y178Lsgtd7zYdOUGlMCYhR2Uhyglt3KUjPCpM8MKjVS6OgTHgqD1SSQ%2BqhzInvSk8VzFP1cI8vLxtdDvH35uPzMi4mQtJCrVUqhBWbQRke9Sjt9laOS7Y9YqUkXldpaAoofKmUNsx0D7eYLc%2BspsKbO71qdmmaGglAJjo4kj6XlnIWS1hQZORC%2Fh4i%2FCdcbaFFuxb0AYMJ7EdQExeIHEdPRtCxVECvtxHzbEyldDvie9cGKwImUuI0xEL9W%2B7FhefRJ05ePV427NJDYmhOCwBDNBP5LrIiblD6aw7pSeWFA%2FlDoWYMm%2BZEcF16VDdA3ALq7hDBlLUzNTL9AoVyczpCwb7xHucfK6T64W0AnDzYLg0HYWadOMPdoP%2FlliqiAlAWP4rio6stY02elA%2FLOPBnEr6rsAqtMRsS2g6HJtNANGwpxTdZEP5Xt5mE2gPs7dE0gyQv%2BFdd8QTBEqmAeMHtNnjBtKvg7KmIZCj9303GT9mWQXZxolBupTHIhJT%2B0WN7uu1FbRp6NnSRDIj1aXRJD25s%2FAD5%2FIc2OQ0iDp7%2F3Dbv3Oa8McFBhXrPpAKzhrFANFpcnLmEVTXjq0MO5sJAPVxFbMh93VfD%2FDppG4mBzXSgVfXJeWNNxoKF8QTwcQFXwQPB7QLE2PENdF%2F4vDL9zn0ZgQ1i6Nyr35KAwetsESlUtEENQbCFOeUFb9lg4Q%2FW5lUNo2fsscGbWY4T6pynpP0Krl%2BJFEfY%2BGGHI3aj8aBO0K%2FndAEPa5FX51Niq7CEOhoB2hSpGAgBT5%2BuzxAMzSuVEeQmZIbYew4tM4UsHYdZtT%2F9ibeR1u6rlX6lBQlSBT6LQ9YUEAgmAxLkAKQL9PSm%2F3NQF4w7ZvdqRqMJ5DYZh3j3I1rDmyXyti0llyZjkLnoPtHHwZd%2BfwWVz9ztMTMCFjpKBVWAdcYhRV6wY0kRv47nqddzEhQvXsqNstE6GNiLTd8iliAfI5vfm2KjfTQwbxz2uFzaUL0A9VKWzB7VrWS0QvlqVw9VCXOB6RDSgbNtW05PB7pEz%2FHZkv%2BXQTUD8mSQ3mJk%2FEUe3%2F2ixiuDVAOBfyIscXixo%2Frh7BHtl5KSBigokAOClzsk5pj5X5S9GLKgu5AbQNotZBWU5zoIzScHQKjeFNr0MiX0Mp%2BlHmHKuaDcfU2H%2F%2FhJmeXl1nPE8E%2Fk8ULZ%2FCLYtwJWG4CHI8h5ySfOAFbkRVFJyi0KYkQ%2FfhDAjciw08ETminGEMzG%2FwOERVW0AEslZEl4sfr5AYRKGVSMzkDSQ%2FnhkipQ8y8EF9ZRGKCOxRzfpNMubhc%2Bs9lZBHqNegMaRLozjP%2Bg8CUsaVzp5Wd0ZI5SaeSdNAD1HIc0vTPw7SLi4Jpa1gGgtEY865KzsFCn6I1RvKT3r6BVdYGsBPWdVzeLfbxKi8BVQVzd9f83goEpezGYiAXT8S%2FpW37TxnZ6f%2Bog248Vvj9otMMAmzAfvCpPYmXIx6ZAKAwBH737j2KJpWyuPMnFIBfqRrEBYiTiWVjvdx5T7k0dwFjgjLrLVm28m%2FXLNfjkSOzkoh3hangxcOjvxzVDIGSxYBxI9ak%2BDsrVTPAlMWZD7OThbuxdkWjCtGwtH4QzQdpmaBsHV8Yrg1iAK64TC2WMbQJAFFciwJFPSRQ86OtUrnPSODgRE%2FhD4qWAHDlWBDy1KPUCEbpodyyU4TnaIFzU%2BtJJAes10UhzVTNE6fGDGUN33wCgAZYoIz44wHk6fDO7wGbAEwmcVQg1HGGByFjYGdwJD1joA5AM8olCJ1LlTUGB%2FkhlrmbJbCbD4Uj0GZTy06zCTjOeVkJKZzqk0nE4%2B3RmlgDHpJwCwwZKOl8SEEH%2B8TQK7R6TiIPAy%2F5M08zWqjpXg4KWF%2FMNQpvipZJ4KZfGsivxCXyinAY16NjMD%2Bkgtfc8pGpAgSyN27l%2BuW3OjjOCnldBAJLpzjAYdBoh3b0yuYkLj7c6iwxR9NHW9WBeGVYjvaTEHVq2t96HA16vtKz3ZgtNuJgpjnNZRGEjbmQuiQEBJ2BdgHxFDqf0F1dQJcS4sIvDHlCASh65anDjgr07Qa98i8Jb1rAbSdOOz0cM9wlKXm7ugzOMTmi8EbeTBIoHrudZ9RSwEtADDsgyFwnxyfzXecDzLGFMmkRrGWCdnWVnSMMcc4cl7NaF%2Bt%2BgTHgy9s1SV05LLaw7YYgNxNKt2kpiEgpahsRp%2F0tarSWdfS3AdWYIAnrT68WTwX1vtPgL7EMcIzmOpOxL7oZh%2BcoizveUkJVmjedZZlkwkno1E7%2BjVJIoz8APlgweTgHUL%2FGciPnYgtfrq4TtxE4adiNQ2ZgyJHWYWmrMlW6ebFkPaAUwzKsAhoGXxXGRGKFObHKQOqFOnGgkyLajFNwhUa4fqva2yI2DlREZ6p0CNOGwR4XCrS4K3SH8pDQGvZIaDcMPtJUoLRM0owJ0iT9QcdRK5IRIIpAOzsUotf3TbAVvbQH8n5voA6kUzw6LqVnwPkmnYxgJLYiQ7hQYlEsYL4k5GCZvd58ypvZfwO5t1fXMTj11hE8GuAZhX78JMPsK%2FJ0yQqDPk4Z%2BJbbXS1tia0EBwCjgWUJsUI18clQ%2FL%2FH39pOY3jRcZFFfW7bC5v98f%2FwQjY4osg1CYvJfYmKVWbiPLEpDvlTEGLjUbCmh74cUqKtsVVr9hspTEdTKrKSRjqUHkhwgyUQeNizUsUp3cLmGnOoxPIuzYDGHFJxwclXasrQR5Pp4%2FX9adXL0zyaNRcp5govE%2FKIiLMyYKgb3rKpuxbm7t8U7GiR8qcIvzarYOuIr0z8D1QgHRWmwQj1jMXJlqpuDBiVUQD80Fnr7quJElyEAs47dXRoms8yEtA2VxNaYbJmUQ%2BlsKhyYLlk2q0QMXQSsMctgTGOka0GYae3AxbsfNKwpf8YnyAYZzDx20P8xvD5aQ4OkVtbj%2FxeO9gPGmBGT3BiXsWroQWXXm7Mw8XnUAttSlNyNEsqWLOLy5MJLmMa9m7Abm0SuOJF9RWA8VDp5xMP%2FI6LaAKUmkqt6%2Fxs1XyWrgcDo5hjmvshCSHhWpwCludJPk5i4bpUhqFw%2BRmK4VAI0O11JGtbQ64l%2By0LUdW7GarSUUwP47kW2CYDEdvsA%2FTXw0I4OPf2SvJ0FKjn7aZxxwVp2xjhpWMTDxaZMkiOxaFFLydXq16fefH2qVJybgXVpioGcKFhS4AjNTEa5T37zLo22Qv1apFD5qUjB9w8yA0vSc2RMiA7xIsRIGBTWOjHH9SZlK6QJGru7w%2Bq2GoC22fzSVxkr%2BWlT9rAABqi3RiLzDxns68PSEUIxqrqFw8oMUhIeL%2BSdTHAvw8M5C0b29DIIfScMQS0TKwvPEq3kAQvxMTC0D%2B7tnB7QNRliGiWl0NuVnIUY7QMwRkP%2FgVT2WDBX08%2BWLDc%2BiW0mz2CZ3IAvWqesMkIe3lWqMvUDL5Q33McSklm9U0P9SHgPGGVlX40diyUBp%2BpfWi%2Fh9sKTOvCRCj%2BeFIWvUXobOyAxrHlhKFGhOiw1vyKUiNMgN3k9No1jfVEpQEU35laY1OWX0u%2BF%2F3AcQq9opTw0RwEyxVosGLDgIkSdn7hs%2BIHrv2jR%2BJUh2kADlTtyX8HxtYxLUhMLj3%2FFpJAhfxzoRspqTIQicEOQtI1iv4n0xi9GiED3BLS%2BriXyEyU1v6KfcGAWCaq%2FgQ5kImR6wna1UoP6KtpT9XLI4EebxCRQriHsHkCOgDlZM8hJEHcCfGIERpbdeZFFHtE3lBjH2cIQ5p7TNVfRTwBkflxGhmddY2YfZbMF0bFv76YdpbH3dxSKmVVsblZW2xdvOxqSIQqbw536IFhJKhELagVlMG3LQqHU43e%2BRZjx4BJExsLcLX1oShyJFvhFevBTFOUF3Exw2yNBWwMCW5QA%2B7UmPhwM7AMOXRddPg6OxuaNAmiDYRKlcHo4FwUeta%2FLSOUyYddHQi3OFkb4z35KYG%2BxJAOZ8LTMyJ%2FCgARNXgZ%2FC%2BfKy8W7VwKPzhRpDnIMS0ClN6sPMpa421GfuLwApsG0C4FpdCsaLM0NtsctgKVSkeql94%2BXUmITqdGBajY4m4NmDFEk2HiFjYtNLmZSxNY1QM4KakEvIQIFts%2BOJ0QCRKvhCmQcfRAjN4VmYgb58CBUMiSUpcyuEfRFZS0SThDQPO4aFcJiNJUvlFdO0s8RaeSdpOSHscV%2BJAIchHCniOYTsEqhdLZtWVSiAw6hEDO7LI4or%2BkXTE6zB0CA9o4NUeZIpS0Fn7Q8lU4X9sZNCO0uPfjoWqOaqDVcbxBJSAs8RV9IcKmOPY%2FLDUnXDLSYfFT1xyNTWRLKRW0kFxctTIuvuU6R%2F%2F9ApGo0EHrqGH7dEmsI%2BgA0UXpfNwWFxUHz9CYK9toXP6IlTFRhuGh7z3bhwL5qzzoRAF8dkwboKslbtuftJDrshFMoBNaIvpSXyAFRCCKFOKEkzCkB3NDQB2qtV%2FANwHNea%2BAUDr6WWScJazRx4glReLp8vQ8sFtz%2BhqehlJO6MM5NMIc8%2FkWnwbE768NqCDKBi%2BpY288WynJ1CT2Kq9%2Bo6rhlUpRatsVIsacJhA%2Bq8M9X%2FUQMRZhshDAvsXwlZfxDn%2BWCfyJyLFA2s54on9a54PSC3WgchQWZLZgEl8xGrFUqCofhkvqYtXjA9XyewEKlnAtD26XlSvqtdhXOT%2Bi5BrX6S6hHVcqbZ8qbh%2BEzffUpCfTG5HULg9DQQaQ6ENkkq3DvUSAQwcxh24qkmtdRoIMDxOVDdy0T2w3afIBABsQGxnqJaAOY1gWawTUuhslaSivzrXaPcRyGhUkH0R541UbNvLKiY070WOGYY4R%2Fg1rfKhHcjoV4p45o21tldJXmpG0XsOekNlYucZlkAWkVUHtjkSeUbdfBMKrGATodKL9arS5JFVovaKRlOWbNJIS6GHxuLt8CX%2BBYQUYDfxlQrQQhL7z6vChINNDAVVN0rXxaKjegwIPOJf7rXfHBBHGpBNpaeLGFXCBrWAdpIwF6mcE7pE2z4HdIxcWkU0QA3TKjZQ%2FPNc4VwWA3OqmXuoleHBmMRLsU3ENaVgIpVnIWvBLVDYNLzVRdIefms6mo9VoRQZ6cCkQSOdK6KDkWEMZkQyIEM6QUltTfQ1xFpxUL%2FlFho06RSy0MhFQCIEh5FrTToDEgpZU4QcT%2FbYWc9XTPTTM6ZiDUk6d8MHSyFOgi3cE0Oh5I2Tv%2FThHNjxg7A0zwweFEVnLpE0Ai8Q9OWYcdB1zNKwLEBtxjc45oHjshf4AMMWhwwRhRdBnjEU3iL3TIBscW%2BvDMwGJnW4omSkqIJxsnzyWwZBg9lQCsSZ2CK25fZnAEtrlT3WZ1xUoqsQBEiEMEmCZAjQU8EhBFQSUEVhPwf6Ekh%2FQtYOKDqg%2BIfAJ8CuQ0oaANSG8CrQwYJAhV0I0D4CXAOIBYAcYMUAO4A0AuQNYAwAWgJAFzA9A0AgoIOA4ARIJoBoDTBVATUAVA%2FfmHjl6j%2B5Pa79V8K%2Fh%2FQfNvjz3P7ler%2FHHh7%2FPw68DnObsHvPy3cPPA5wScuOB7qBzX7b8SuTXQrw88fvOjUnszbV9wOhztB3%2FrTR53FdNbVFq3a82jxmuwOcluBDDjLjOjALxD3%2FQiP39Y7a5Rt0oNm7G8V06nAGXPxV3oiByNCcCfXAkpuOrai62YwdiJaYXnQsst7b8q9lbH1AhQ4fOtIhMRO4kqFfJyARyYkd8VFgh1WJGVCPlA1ZMLjSDAUNwDDwkxBcqWcEmILYipcSYqtCIqlSAqaSAqUCAqkjRU7GCpiLFSkWKlAgVIxAqRiBUbDiowGFRIMKhYMKgwKK%2FYQV6wYrughXTBCtmAFaz8VpvxWa%2FFYZ4KujsVY%2FYqr%2BxVOdCp85FSnwKkjcVGeoqJdRUiaio4xFRNgKhy0VBtoqArRXysFeyurkV1bquqMqqonq%2Bh2r6EqfoBp%2B%2BNH3jn%2B5M325m%2BzqX6%2F4%2FrnjqtKKqtoqqPhqmWGqVIapJgqjWCqxYKqxeqp52qenapVdqkp2qOnaopdqh52qD3Krsbqs1uquGqqZaqmdqqVmapLZqjdgLkVYtPvgiXswWobLWxLWyK0qjACE6uL48VDS74vVFa9UPr1QitVAa1XzWq9S1XKUq4ilUQUqiClULTqhKdUDSqgSNX2hV9IVfB9XkdViTasMbVeTarwZVcjKrSZVYS6q6XVVS6qiXVCBdUEF1fgqrzlVcsqrdlVbQqrWk%2FZ8n7Vkfagj7JEfYwf7Cj%2FXof68j%2FW8f62DVWIarWDVaUarJi1YsWrEC1XsWq9C1XQWq1iVWMSqMBKoqEqhgSqBxKvuJV7g6ucHVwg6tqHVrg6vuFV6QquaFVwQatsDVrwatGDVnAascDVhwaoyAqiv9UO%2FqhL9UBfq%2Bn6vB%2F7kf%2B2%2Fx%2BtVskpnZEuCUxHC%2B%2FYuIK6NNKiB%2FEzIk5DuCcPq3Ew4GQBYmlqw4gUEVMiRKFQwiMCQcTgAAAAEDAWAAF5ItM%2B6bFophhd3N1nA4zIKh4NARWfqCooqII1UQ4kBYJ2AQsGyO2lAp%2B6Xiqm%2FCkfz5urtugisAuGzxeNHQh1A73Vh4dG0%2FNDkMQKtSO%2FBTm3DojsrbF3jq6kKdaxNxwpKvTKteAnM7mCQ85oHLN5AxXtO3FxElkoEAFo%2FY7SdVN5daSO3q5Y%2BGBpQAYrusw%2BEY9%2FXMmtYT6y1gbXXfGgzHr8ic6AN9hcvHwEYELAoOjr69A1yaVwaL10euR3YUZUZvQl5xZXoT8YeJLqVKFrjMLT83%2BN7REmekLvRn0TLh%2BZMzVhvjjOcuh7%2FDGoSIzhcgAEyu2q%2BgmErl0SoAyvHf0gOOHkuRFZQSSkFEDSG4HCQ838BiFt5mdNnEIYrPlCai6RoN3%2FEdkyVeA7o%2BHQvKrwD5CYAAo2RJZIeP1xRy%2BlJaWuskPYYJ6GKPdNLzxcio1M6LXHJDQbx0X1i8B9YnLsQYerRiZjBe%2B2alDqaPIASEoxCeRAUMVuivCDeCNo43Zi%2BmFz4viBZJrJMbwxhXGCv8CUG%2BGpgMJzaVH06hQdq5woKyZyKYDByVHQl05OpUqPrSuURMAxrqnfhkQENbMcnlzk3MLnnmnljBLSdHj488rWP0ithH7Mq2sETRkNmgYc3AZSu6gL%2BCk4IDhPtHR057XmxZs5enMzU7IR5rdjAD5bhqPdP0mGax4%2FBC5rzvd%2FNmFSTuivxBTftCPQY%2BTO9CX4l81r5FFfrkZ1yrTcaX%2FE35vu8hUNdTlgS2iD0q93mIVdiG%2Bzz6ZoWvKaG4axR1VGYKVxYs%2FhBQR7uUeb1mU%2F3VlT93WVa55WteFObdmuaGauUaHua6G9Lh9q5rpXj%2Fwgi3iPylvEGKzMA9lXBUjbXHUnsEBSjM4dcmrgF7f0G9lwAQt4RLmuXHbpvBr9TrIO6tAdGiB79MRHozMKD8uVjof8zfR8GjzHzhs033A2Py%2BejgTAGqXxpL%2Fw2WVk1lFTJqz%2B0kBeRuJCR5GRySPRQSmUbztwmWP9kLIWUhlXSVdCicr0AP0QVDW1JhE6NsgqFunp2ST1zYgQv6Qnhu0JlL3GiFmbc6pMG8mzBJsoRi1z3Z5NTM0f1ndDFjciaUQqsNg6uq3fi8dFUAWOQGs1VX8XhLFmvpemPhnFsJ4EJp5fMYZskQQsqfYfD9NJDx6cnQ0sTSuR2L40hG49L%2Bmrs3RoC4ghACgxYOijJAtdpXHsZI0rFXEhZYgy3algwWFOreuLxQmZTNtXroCxgYhVHmAFChJHArQSkYK5FLPlzPCQ38AzsClDlC4ke6RHiVatgqkBMcH5a6mGXLmcLkgxPCTi3IYssNhBMcXoBJkK7iAw%2Fq1cJO27YZZ1dgwK6TjpcOKZhOClzaJK94ByvnLhalwYwwHNGbpKKrMoiCUVvMU4ZDGftbGmdYDSWM4M18njvCm2QeRAFzCJCDrWq4fFsh0jgTZAy3lAyEhSb5p3l%2B7zqhPPDOxcQ5kAj9XEi83gCXQDB330FUKUN8JTMzokg%2BMHLm0D3oGAQxNjGVUC4qv3mNqY80W8Wma%2FG%2FRJg0Pokw2Jil%2BUKRbOEH5QZhYg2DwSICOBEYPtpPgwWBiCfyJ0YCZEGKrTfFYsGyw21JEW52PoQdw%2BSszylGkFpTMhd5kWLnyTIQai8z1ij55qLRN75GxKwkR9E1MhMUCbxmmw63GyiBjM6OORqQNMpJtSUqMssFsiIRB3bOWC1CBqx4cDrtymvUnfKZrNpclIQX0iC%2B0SWyKIyxEbrSIkB4ly9nnkYJu6fFFI5UkewzCvGzpCmkfDtvWO%2FvOQBSKG%2Bw4WeOGpxQqahRKjqs7pmglalwleZKZnV2WNi1CBepIZxSes8CtZlRI0GWmUOVcYlpvK0hUKRhWaEyXRViM53DzUU8eSDYlUJQqDMmUYc2RuqTtfeLBUIWJzpxmeJiOCoAXmCaSqYM441iWisAz0U0EQHSkfuH3o9uyZk0g2C%2B1Huy1lYiCySpvTSdjMKwTiKdQVCax08qRNA1Vs2wiL2IyamfCpg%2BlZwXvOo2sB1QB9xIdX6Bj6VzRgd4UoHI9PenyASnBA8k3EjsE1S2ipMclWB3LPJeWzSHOikaNhJsFX5zoP45XxaGhDK%2FpP%2FDIYztiS6vqMPACWcgP2kpZWjOfJBHYRQNI4tp3WUQGWpE8ZqoZEFvYJaFCTkUJPdTqeYpTEWodgDyHYOTQomy%2BoKxLC8BtejPZfK3UMphCswZ56qASoLK60kVHNgZzT8%2FUWcqkls5xsQ57uoPAv%2BCrnsSCROispXTpjPKe4ND10sCf%2FElOsPgR%2B1K2fX5hXhJfNGzBWCpiE4EjGUBgUzovLqcdL1yqDbTutsHLe0YqwBcpKRqcP65%2Fvot41Eg4cbCrFOObHzAyIO3Np2zmgIymMqrmdZ5wgWiOKMA%2BV8kKigbnyOAnZzQK1uMozbw7SBWI%2BtpCLJTN4yFsnUOPsR6JqbOmnG2mYUYJV0I%2FFDRgDb2YBKeBAzYRv4d82IRIjKNJ6kthxBIf4f6tg5Rewqogb%2BBL89Xa%2B8Y7mPwJBnr%2BqyHL3Me2KqwE3nnFG4NiIrI%2BvziW0DG1jcQIHeE7iAwtWHXwFYTmEfOmdkgt4Pr1n2vJwnSQymN0R0NLRTgAHjDVSIfITmkvlvfz7MU64jgUChw5hCXsYgG5gXyQ1osKsxCRhvPgsghFG5zI1CXCBIAwKkjyKLeqBc%2BfEUFiCvfGOta3gR%2FU26my2RNT0gywIO1yxoMTM8Mlfo35lpDQ4jfU18jrE6QiUumMhcIndvm8iDoRH8amzyNFXNUKcSoCnh5AQYr61lElsUE1avUS%2FnDanpv%2FZFa3VH2JIq5OrC2wDxYOhlkZf5BIr5I2JAQY6MewSa45Ob%2Fz%2BEjpgzBQTlG3AdVyHpu2GkjfOxGCSQ%2F4KBsYV%2B4WC4tHrRIEC3vi8DWBGimk2R3cQNWDhpiR%2F9KQZE618tdreVPJR485XjWwoxbnLTn6IZ4EjKrhRraDtVPs4zmDldmpWjWM5L49vWKkkh21cJ0GELX5Hje5CUKJRNkIrvqKWk7bw8b7gYD5fEhk7VgXTHJI0UsIqSimKH3B62CsLrQWXjB%2BoWwKWamDL6RlAYnwhMdNFIyfJuJIyo2hI%2BRLmmREVRHaJdaBYDQo4bDl91nK3Zy7hcqlXpT%2F%2Fg9jl5m4DVYTnaJOAoq7zjeA2QzPBWRnDjFKG0AJybS5gxwd7oVkVIAgAqWCrwA2TuCFHn%2BlQSxm2EjeZemixAGSIByWTtmzQII9iyI6QxlnEfiedIUpRSDRKzAojtJx830mEfqcSqHRLRGSUmpIkhYAfBXhL3h5wRAsiPnzp5CmVoG70nYHSlNBsQEOYNSYjVHmDMCMyyhMYHx%2BhksBoo78rYc0vB6ClzXpCsSQL0xuJj0lRG0q3NgS%2FgqHn0%2FdBeijOqfmwAAwNmamjdRSr62goEAhLCK0y0mqVtUz8B3F3pE3rUMN9wQoCtpvRAK3sFTK3tcPZnt6Z27rdUEcCb1qxd8b7ARVibBsC%2BRyonUCCcPwOsBKtzEuPpnx3V%2BQo3FTRLkQsTzT%2Ft5GIpAhUffp2BuiRh%2FhQEK3waIhUoJczWFQtyb9PP5ODdKmoRpQHa5EoivjH117VzUEyb9h3I8XFhYGY2GgobkujLXrm%2BbJ7HN7wo3WOTojHaQLy5ZQH60wuIar4h1s2FLyTWktIBtEtP6PSDSPebTewSizvHczvHVzmh8LyM8TZbIzBlYhsTDRW2MtA4tMbKoUyaOwZNB0EcTEoAHayrWzlDMhazQx8GCH8%2BXZI4EskKhE1hnN1De89ZjtBMDWCxLN%2B4bn5AnyOhxpTflbO1kA%2F0EGhUliSyMtWT0UMb%2BqEPinhEFYyHEbAUyp8tYuqYDRipLscjyGJA3zbmKdMTMI8V72v2ZQ8R1C6WY4qjndJBCREkDNEWaBovAOsU5JvqCCECn5%2Fq30Wfs27Q1NX3PB1CxWQYK4rW6gl2DEhCJLvzF%2BBEKd6LLjbQMVuJRpueMSQJN40n5WAdyXvuYQeXUQsoQDysgsemARNTywlJKFiZeuo5AiRfoTmTq6hkwijNVgqADIQ0SrFqBN9hK5RC2ZzmikwVm0CCZzso1HPlzzN0IP%2BQCIQZ%2FzA%2FJ0cIiWLfbbDGvgdRmzRiOWxhWyl0iXpQfpiIVEQuNo2d7rj0OZeiVOeay6x5oKlhwZCcg8KUij44xrtH4IX6UM37YQMPXh6QvlpkcPG94IVYA3iwMJ0L8LuuaogTlCTJsenAjL0PQ7L1Pi8hmGJdOqOJeVo7ECLPOdRHN4hjBEITrTPlmX622a1Nkllc%2BXvRIMYsWFbQasKlkKf0TuoImAklJXaN12zLmMOiREi6fUAhVGrkOVhqjWR2eenOmgUY7GLcmbnAqWpftrThQTmBEC5zJQBDcPyN4AoXnInBM2UJew3uo3Osd%2FVotG4JFRB1dhhN21R2ig74o0Jw8ZN7VnA0lWB0lDFZ5PDtyXLlhvcGuF0S6Wr3U2CqpnkDjwB2mBQdPGRuL5x1IFo03LEOsHEh4MKRvE9edrMh0Snaf0cShzOIJdiyBYWbPeMzTRGYsBHAfX1laNIl1ZVxzggRI5m51PG59wVXQ7HQGRYRRnGy89qI5okgmTpsdUtZgAxPvJ%2BWcqIbSWx6tf5yN%2BuJkKOjROUqEcP4y6WDOTFIXxQkr7hHBS7hmbyT8AljD77OJLW4CQGYAb2Pei8bNTgMttEECV0uBXZksyIJd39JlDyojumSt0T2TM5i3S2cviYGBEzQtmTKzAFB8QEcXkZq4YmJ%2FTDWdYLS0Kazft%2Ba%2BC7HwNZAJaVEY3kfqPHY2SBxchsqiGqJLn5a%2FmjEa8QgmABHka5AWJ%2BG18I9w3WjonkFGEwKhtgp0j8YPUeYEncSOLNhhwVJnEiplRLfp6lN7z5sAMYVx%2BA71pVUbhIzIaaNzUbAarADBLMSSoXqKXumbEiOijClhzIbSA5gGB2qtutd0MjQyWBaAzJmfqki7MMaEQAOCXbwaXixbEGNFnHCqmWg8qjxIZ0oeAxEPKD1A7yRyuS4AIRwOrQJ6DxVHVPpAc7aCkBHpHC9GMxBqe9Qt62zjQGJy9sjB5efNIj3%2Fyv2r6z%2BSM%2FzuFE0Za9wOJ37u2rcQy7P6SvWZqCuEJKtvjAUTarXAcyMQRrVOlrD0HTsN2KDiUivtwmgj5U9inAK5%2BC4IqL6iNHhU7OH98NmQILOWxNwJiPwwlnf1QAEMLagJuGLoYUdlqBRDn8QcRAg9AuLhe4myJn%2FEoxUfepXHhZ8Dk0BKaH6znSNmNJJ2IRdEvxoTfFkKRNn0cEvSio6ek7OG7AZljFvqNgRejEgmOwp7toPkAA5CIjKCsWmYPIlxUdVDDj%2F6UQEQZwMPCocey9jKiCj3ryLWjtGlYDdewTAsT%2FytgOZKoG6jDf%2FUzE%2BDBwpk%2FPx891KJ7wcBDtmnc4Zr8PjCwfnWIE7Tz5Wh4XZOloMKHqBYibF9JCb589kpcmC6MqgAH60Nwcj%2BnBhrvYWI7IfIiYD0IThyXLu%2BBjtuDKdFNmVqTy8ELHUIcco0LUngtn%2BupQtGnWSsHRGOZxzUOEULCoCKWugvY7ZqEN0MDmNHqeKtmwQSOPoR%2FZ0KGKGB2wdDYj1CrZsodEQx2TukU2%2FMDvJyPuRgDSC80jH6IO5DbRYrS0rIXfANDM017avY1V29khrSTX8G%2FWm5HQ3j02j1MGoCeHm%2B25tIebrUOsJUhfKhD0EIEeXj3%2B%2BQ43UQYWPGKRd5tI6RgOxzkuNv3Ji8YcsIU0cpJNn1rQt1eBb5t%2Fe6vSIMsxyrbVRxAHaSs8%2Fijk5AW1W3ajQf6DP51FkKbjEEaQp7ThQOL8pUajXNZgjP%2BAGWp2PntYtYtaMRzL3lOTlAMAU2jKG8l3wMD%2BbxPb8RDFLiiPnwnwm42DzJDXbmbGIZ0jLkON0Ub4bgHg3f5pBR%2FoVAu0YDFztE%2Bzps%2BP3bAAWSgSxlY2S3LazAF0KZAmzACvKJ%2FMz0beXxl%2BeIEFgZCLRMTD0eI7mFnojAK95ZgCTCfQOybhXCo6576fGouBIpcPFCU9ALkeU0pQaG70p3LmSrRNvUUN3vI9R8lCXjgQBKD9twFivCVAT47aBVWQPv7zSwNj8Un%2FSFG3FqLOS5c%2BWZHKZKVGCPSmIgHEwoN5C6HgtxiaB5%2BUvBrgQmTbO5rMJ%2BCuldZzfzxgdXp9XgD508hFWCeR8zw0tDDW2xoicZACrgqgnQ48NRFvjGjGQLa0bZ%2FYIPRHYC9plKdMERvlMGhAQeqDBMhf6LZGmyElMCwEIYOo1BZ6PH7%2BWHUp1YWZa7wqK1XoOCvECZSwoJH1Mkaogtg1cnvzmDI1q5S6K8zNTnhUkglWVoNqdHdJkfg0Fxp37eM%2FnNEjkRlbYvQhIWSCHT%2FqEBqUlbxYgGY%2BMSFSRxt4bg1PVnRhKNZIXooJOn0HVNY%2FcfiwOh4kjntxHmybS7MJkM71QCMhZGbYSMrJ68qAj1YN82a3v5utE6PJoWbuOva8RkRMPNZOJG3h4NcQ9LTUNP7WRG34U%2B6pZFDjhFpbJyEq7ddJp5LrxHhOcWeKH5m0I1Q2anhxKm%2BO1yIfm7BGh7B%2FjqYiPKEBJ6cFrT2ZB6TmSyLIpnTVkU%2FYqVla2WfZcp7SSoTzv6vLYtG8AgtXlxfWZxN6Gzmta1EwxIU6yE9s0x%2FZlSkSYE8X5a7%2FVPKA%2Flig684F00nmacRk4WooPYSFBnHTa1ebr6zgD%2BMcOV4BeWlJJLrL0qnYZSAVtBA5UxpOASkxyTpYRBUMiUqxjxU%2Bce5iSPwywJQRsno2JDcLSzoQnpUALmNJE%2BWSFPdsteXHMocr%2FC0IqI26humQ1wKQoHcGmUNYBVwIFZqI1azUTzdFmIOugxHeiO7FGrlsIVmnE3L1JrCuYeQCJCpQc%2F0JCGgQIe79NvrOoYeDQJ2REZcyhK7ihxb2NeHkVj0aI0LIicFJjQk21YaBO4G64TBu2IKBTzYheH2CASyWnlbZNFDbFlJqA1Q4kIljGpwnmhmXbOSQEgWsMmsHkBZYKRUWBv9HZZ1N1JSN64WPlCBOt7zqAJMKpczyNBpzQk5o%2F%2FxDjQg86ozQyN4waltVoDaLJOfWjYqewlULt9QO8N4AqlP%2Fo1ZIqJMaZ%2FORyILlDFoGoeY2%2FswI7MBMVXSMJXCUeRsJjHIU6kNEsAqZoBDoHo8Y8pZtM%2BGL8OLfcPdBbsbvRZuDQcyyrZ42OoTsMJ2GH21od%2FRCfgHrkeCyZfMOkWTSYgXtqYxGIGLcI5gKg%2FZR2xnb1upteR3rcNGITv8oKHpUWdLK9kIZlFfEtPUNAgnOY66o0dWYJq2a0UT3usCxxDZm0UIViE7Q13vLoyXH6VgLZoJt476o2dZ1DSsnihertfmTnTdREBRHm5ASIGxMbMSITKCmV5fMqgFiewxFtxqh5yfCPkmlKNcrJfmvyKlbaqps0Oa%2FBSPXk4FJjtWF2wOHfpFY63qA49US3T180HXmbqEjYsSpRFkkOVMCBH1C9JAJTRgjCWNAjl2MSA%2BvZjADldAJGTIoWBOcOEUI4qwvBSI4hMj8m7WHoFosA0M4Q4yS8XtN%2B5emVGJDGqX8D5SVbE%2F0bWETJRyRFYKQ8umFTkY2ZnV9Lz%2BVW9hgHq%2BHYhsrghzcANy%2B02yEIiJuDFngZnEHSFnTnqDAicaKOgtLZkRXBqGS3bgcqBK6B%2BmV5G4%2BxzA1IlYTTtL30wAPCkFZuhlgsViFEnA5Rg4UXmBbXBAW7JuNvZlXTVsYDMV305DdUPX6QyUFMwndSexwLkpBDsIQ4lUnD9QoEF8QmpcQk8FJckIIkVwvETqBSrIvHRim18B7iqFwNCcFoUKmSj9cSfX37WL%2BCT4mAKH%2BS76AYlpBE3eYErTSL68qrzEKiOZo1mbN1ujQapDrmTWb1s3iBTeQMCYcYfVeS5ks0rTlCPWr9AjV%2FbgZ8To6s7qOr3%2BkRUCKT5GAAUzFlHOkmV3fJEImmhCZ4S5ivYOcC3SUx70Is%2BgfKTQfQBsES9NEX4x0WTcQkWV5JKEJNl0UV8pDmBNnC%2F4qRYIkjLTUknCCTbfLBLJzy4rnSGTntJHjdpYIWlqzxK%2BG%2BRBy22IJ8gMQIibkjgh8Y9Q2H5aenHLwEJg2iDmhQybR8G3gfKxBAZwppQkDi9rFMfLSe8Fgalu2z9mKNwe%2BF24HWYNjNI3zoQfXsIck6YiAwCMhAsEDMvxfp9PxAAxF94h42eFp8V8BZxS3g%2FoQhPG05yIyOc5GxA27VgPq%2FN9uxGcdZCP9PAWYlmmiIlMHE%2FRj3IzE8YKgGEh8OmOkN4KuO6GYyNnRhoWNSgmY9%2BVfMfhBm7xIwZPp7ggg%3D%3D%29%20format%28%27embedded%2Dopentype%27%29%2Curl%28data%3Aapplication%2Fx%2Dfont%2Dwoff%3Bbase64%2Cd09GRgABAAAAAFsYABEAAAAAoUAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAABGRlRNAAABgAAAABwAAAAcalXC8EdERUYAAAGcAAAAHgAAACABCAAET1MvMgAAAbwAAABDAAAAYGenS4RjbWFwAAACAAAAARsAAAJySvAJmmN2dCAAAAMcAAAACAAAAAgAKAOHZnBnbQAAAyQAAAGxAAACZVO0L6dnYXNwAAAE2AAAAAgAAAAIAAAAEGdseWYAAATgAABODAAAiTweHjMhaGVhZAAAUuwAAAA0AAAANgJiWP5oaGVhAABTIAAAABwAAAAkCjIED2htdHgAAFM8AAABFAAAAvTBwRGObG9jYQAAVFAAAAGrAAABuDSPVk5tYXhwAABV%2FAAAACAAAAAgAgQBoG5hbWUAAFYcAAABggAAA3zUr5ntcG9zdAAAV6AAAANAAAAIhLlGpmlwcmVwAABa4AAAAC4AAAAusPIrFHdlYmYAAFsQAAAABgAAAAZYr1LmAAAAAQAAAADMPaLPAAAAAM8MFvIAAAAAzwwJLnjaY2BkYGDgA2IJBhBgYmAEwltAzALmMQAADagBDQAAeNpjYGZpZJzAwMrAwszDdIGBgSEKQjMuYTBi2gHkA6Wwg1DvcD8GBwbeRwzMB%2F4LANVJMNQAhRmRlCgwMAIAC2EJ1gB42s2RP0vDYBDG723aSIrSUESsiHcIWqqDXbvFRe0gBJw6tTgUCx2Kk926dusixc0P4OiXaQZzjx2cnNRFhPiagENdHBx84P693P0O7iUihzLbJGM9mb6tTFrnTWhjSAEVyLfZCgnt060U5UDacrdd3vnYNVWvWlJHPa1oTRva1JZ2tKdDHesUHiqooYEjNNFCD0OMcY2bR0qSr10pcc8S6QfRaEF9Fa1roKElnutARzqBgQ9BHQFOEKKDAUaYYJoSTfKWzJMo6epSPI%2Fv44sHJ9qI1malWVEqsi5lWRZXiN%2F5lV%2F4mZ8YfMWX3Ocud7jNLT7jUz7mQw62ouwafyvj0jfW5KzLLTZkX5EpX6B%2FLXfxYfU3U5%2BPg2iWAAAAAI8AKAL4eNpdUbtOW0EQ3Q0PA4HE2CA52hSzmZDGe6EFCcTVjWJkO4XlCGk3cpGLcQEfQIFEDdqvGaChpEibBiEXSHxCPiESM2uIojQ7O7NzzpkzS8qRqnfpa89T5ySQwt0GzTb9Tki1swD3pOvrjYy0gwdabGb0ynX7%2FgsGm9GUO2oA5T1vKQ8ZTTuBWrSn%2FtH8Cob7%2FB%2FzOxi0NNP01DoJ6SEE5ptxS4PvGc26yw%2F6gtXhYjAwpJim4i4%2FplL%2BtzTnasuwtZHRvIMzEfnJNEBTa20Emv7UIdXzcRRLkMumsTaYmLL%2BJBPBhcl0VVO1zPjawV2ys%2BhggyrNgQfYw1Z5DB4ODyYU0rckyiwNEfZiq8QIEZMcCjnl3Mn%2BpED5SBLGvElKO%2BOGtQbGkdfAoDZPs%2F88m01tbx3C%2BFkcwXe%2FGUs6%2BMiG2hgRYjtiKYAJREJGVfmGGs%2B9LAbkUvvPQJSA5fGPf50ItO7YRDyXtXUOMVYIen7b3PLLirtWuc6LQndvqmqo0inN%2B17OvscDnh4Lw0FjwZvP%2B%2F5Kgfo8LK40aA4EQ3o3ev%2BiteqIq7wXPrIn07%2BxWgAAAAABAAH%2F%2FwAPeNq9vQlgG%2BWVADzfzEijWxpJo5FkS7IkS%2FIpxZJlxfGR4Nx3yM2dgIBCOMIVrhAghXK0CYZCKA0tKSyQco6UUNpu2G3pwoq26hnSQrcsvVhajm0hu90m8fC%2F981Ilu0Eyu7%2F%2F3EkzSXNe%2B973%2FvePQzLtDEM%2BQzXwnCMwKRLhMkMlgWefS9bMhr%2BbbDMsbDJlDg8bMDDZcHIHRssEzyeE6NiIifG28gs9e0%2F%2F5lrOfZmG%2FsThjBFpsgv4ZcwMtPKKExGsecUUlWsWaL4M4rnkGLIKu6qImRLAdLJTOvx5KOpgizmxIIsRKWoLKTEuCikCkXCPb%2Fj%2BQq8CKeO1TYPTzqgjtHLAA0G%2FtH7WplFTNnCMJ14c4He3JAtE8bSuW8W4cydRLFlFMshhc0q5qrCZ8tmC54yC%2BbOssWMmxbG3FmyU%2BgCJCrW%2Fsgo6SKj6mb14PiWupmMUpwN%2FBf4Z5gCs4VRshmlrVpuy%2BJPtaXNFI4ohSOSVQwZpTmnGKtKMKtIGcVaLUtWvFByIWTTM0qBQharlkKRLHy6St2kU3FllXRVcWZL%2FaSzFCuIbkXoV7rFsrUl29%2Ffj1Qs5HoL8UKur9CXy8o%2BOd6bZuMxBytEhahRgrcwn8sOs%2FmcUTDGY6k0SRWLlxleL96WWHzV%2Fg82Dxqfyy1ZFPb3z5npIdcX1YNGsgvezdP6Z%2Bek0KIluWciGzc9Xr26dcRGDhcz%2BeLjp%2B544fwLC%2BunBbxdpw4X033FRVeOdDqD09bln7rwqq%2Bmn7yGwTGpkFF%2BCXsA%2BMtNeYGrEoXPlAzayANRK9wtx7YiORlGH8Pavx7Y%2F%2BgD0sW%2FyJ%2FESEyEUbiM4qjCmBHFlynJ8BMlMye6S1axv39aD%2Bf15aLZvt5kPCakSTxmlLyygzguW86%2Bf80TT1yT7up67pIv%2FZIdWUPeX3H50x885dh49S8eCNgcm5Bt4FXkFeAdHuaBhbEzTJ7IBZIQzQYY9QpgcXQF6VIPsuvZ9TD6XUU8qG6u0L3DY4%2Byp6k20jW2F36H%2B%2BjDjz7kX%2BBfYFjGyLgYRkgAexN4Ffp6MyQZE%2Bxk6b%2Bfeog979DaQ%2BfY7Q84W532zf9%2BsnbgdHvK8YDdXqMFwKQwZibHlI3Iz0JV4WAaWTKK6RCQssyZkHM4AzCuicNNkxEY10qJK0aJCNMpHxV5BYE79iaQUhl7fez1YpFN4u87GBPMl2eZFoZJhklhmOTFhJgUHETW93qTgsFBJDhm5FtvX34SID9r0fJ1bvfty%2BetcljGXBYH7H%2F%2BkvagtKGDPXP32F9dcvDyvkJ7QD65wF1msXLf5TyWseWiP8AANeSP3uX%2FhX%2BA8TBNzClM2YEYuTOKXFWaNMZozijkkCJVFcmFskExwBwAdg9Ionsfx7rcrXK%2FYhCB85mS2wFTwNyvyKLi6lea3PsIIxjg%2FLQetwsQkrwC8XmdxBhLEWB31uVr6XMlW2TSDKzWvIx0CcLFJq9JPXj1zspnXyTu735XfZ%2B8h%2BfU31d2Xq0ehJMXCwLpWsZepP75xe%2FCFRp%2FFpn1%2FLP8HCYAHEmUYEZhDiFPOqqlJo2le4fZMJHhjZW8Dk5I88Xpp1599bVd066%2F5qr1fbOvvWXv8PDjt1w7m3PN2rKqm184Z%2B4CvnvVlln91950Y3nNmvKNN10LtProm8x8%2Fj4YewtjA5aKenKeKPGYiYcrLCD%2Ffg97D%2Fmluv1u9SZ1%2Bz33slwLFUV%2FUmcSj%2Foe%2BWf4pHzY%2BBs%2Bxs8odhC%2FVAzxwERypuSnIE%2F4dY8sFORUIZ4Spt5n9r8s%2FM73Fn33naXLjnNH9sqdv%2F3Cjj984ec%2Fn8C7HpjHeZKPJYdIb1%2FWFyJeY1wiEhlNzFT%2BR5mZIKN3EVK8L1fZqihbK7n7iupHdzE4%2F%2Bj3l9B1yco44Xdk4JoIE2dSTCeTgRmhMGUGOYivlvwtICiFjBLLKaaq0ppVrBklmVNsVaUtqzgzSkdOcVWVrqziySjpnOKtKtOyiH84m0NyEKWXjiNf3WeyubytclbhXSii9pntooS7%2FqrSDO8aV4aySkt1X2tb1zQ81eIqReHKRHt3D%2B5y1VIeBZPNCoIp2NTfrzjFUnMIBVQPXS%2Fz8fykF0pBmKVRcpxzvHJ0f7H%2BD8TN2F76OjB%2BkF%2FSeAnKUhBOx7bWjzC6fNPWRifQMMPMZEaYsh2p15UDtJFkoYwySEnTC7wxi9LDRddHP7y7Si2AOBCtvapMz5ZOonwD8qEPJK5PEmFMo7FkgEzcJ59wPgRcIIVCkroZ38e32fUnOpNtOMxe3LAz9sKJzjAgPSfjvpw5i7mUuZG5C9ZqSoXS4EU5pEOpt5hFSpSWbM0hLUpzroT97kzp9C%2FAfmu1tPqWLFBnFKlTciHTmYH52rKUQtNAUs1aAdv91dKC9fjpKm2AY5tvgu0LqqVrbs9mS3dTyuFcGCDabOgksaSY%2F%2Fh9kv%2F%2F9vqQVEGCneCNjP7fzmfre%2BTR420e%2B6%2F%2F6wWwztbkReMYr9V5fJDyeC%2Bd%2FktySnNVmYOjqpyOY6qshhHdMGFE5ROMaGnj8UfP64PdPjichF2jNPk8jgbyPZV9UY36H7f%2FydRmD%2BDO2Bx8P%2F52I83Hv%2F0pKIoyPMTE%2BA%2F4DsbAMLA4pEgqRB7hsgfHvvYj8rJ6OtcLWz%2FG6y5kLuTn8fNATuN1BTORzUQwkwtJUH3rIAmS4EH1LfoGH8MT9w%2FiNbBWTdANUszzE7QDUAviOSVUVaLZcnMI1ZzmJGg8oWbcDEVAv9b1h7YG%2FSEJAiucVRJVpSVbTiTx0kQcvpVM4GayGb6VqGsZ7TDSSdAyyqwPRHa%2FkhAVd78SAK1DdgUbtA7ZDVqHq78UAu1jH2OQ%2FHiuSSx7A6S%2F%2FxN0Dw7keU7KSXEpnv9YPWResQKi%2FhO0EfUUvAile412X6a0izBnHE%2BzapmqWUV1zeo51KyaQx%2BjWz2HulVz%2BBO1Kw6WsY%2FHDLUG8r6O2I5r1VcFH1xlqiH2InG9CIhRXZGR%2BQdAf2iC1X4ug4ajBdDoouuSUC0L1JgTwJhTBFfJBhh5qmWbBw%2FawI5Ck6lkE2CQZH9zHACnmpm7IIE26wVg873JVN7nBg2NjaVZok1g1HfpBJZ%2F9vj5W4%2BQs49sPf%2Fxn522%2B9V3X919Gvl1SCri7CjiAvU8aRt%2BrFC5pnTkSOmaSuGxYfWXz2%2BBq%2BBiYhtfs2DdLTIE5FKprsdMY8o8rjgmWy5HFFdG4REfRMIESFjBTNbQcVZLIpU2BbCwCRjHtb8iGCNdFRj6CkGDhBxWbWh5g6KwAukWZJr4XfwuZj5zMnM2g0ywoqoszih9QL2VlHoLqsoCV2kp3AMWtFVApwUM2lBDwPZLxX1OKdePrNDqLgUyYFiWVgDLlwRQYJTF4j4umpqLZ%2Fvcpc6TkOE93gjrixDBJxdkH2zmsjPZvplE7iukCn2wme%2FNsMkMKSRTQioJm%2FGYkzU6ScooyIIRNg2oFEpeYywZNN7POvzciu7BWw3dPYZkW6wpkzSmM4bPTZ%2B2gvM7yZcMhi8Rl8yt6Br8nKF7mlG7wpDtMtw6kF7BBezs%2FUZy%2FrbyNvjPnhJtTxp7ugyfG0ifzAXhlMFwP2sPcid3DX3O0NWDX27uThpzHYbPzciczAUc2s87AtzJmRmfM2TSxuS0wPpt29afsm0byEKBKX70Ea8YvKD3j2ugBeYOphzFudYK1v603iwsFalMuSPblwN1oakKKiYqFY4uOJ7JULsVzPvgIVx1Wl2lBM7DrNKGmmk50UYlFAMM3eZCeaRMAy3VVeqBre6s0ltV7Nlybw9e1OuBi3pdqGeCUESHAHWi4CJSX0kalhMPqJ3aFrKSB16obnr07aLTQjwD7aSrfYB4LE6H9ehbVkeRu2WgfWxO%2B0CRyhjkM03a8CRrcRbbBwba4XtZq8Nx7BJkvvbBwXb2wNgc9gBYxkf3a5uavQR%2FBon%2FNdggXUzZTPV14HvQz82HUFc3UT0bqQRMXzKYQPAQOlnNJF5zurCj7C0V9SD%2Bsaewt4xtHduLcoRdj%2FyOAvBtkBMORmRiTBmMpU6CXA%2FSzlgtGwkSzGgCieDRZhPVSesUISIpOqzkV2TUYT32jNXBriddAX6b1aHaxs4A9Dg34o4ylmd4%2Fin%2BKZjDHuCB7Qza4M6q4kUhW5a9eBtZgnHx4JBTwxAgsMOouUpeQHD8ogBcJLtwcsO8R6Ox5LWDnLJwDg%2FMrJIow46Zd6Kty5S8TtgTGLsLT3nwlJGINl0Qu1tbeLeL5Vta3boA9qCEkPg9xE3mEPeePer76gH1fd%2BHZO2HH6pPzAeR8Y3GE3v2sGepT3yIp8dUIOlBaiuwHz3IMAYv0BTlVVq3soQcYgwWlTNDHQ9O6nggZmRhlGO6tIqTHAd%2FJMrFOU%2BOixfJsz%2BVHvb%2BhDw79lb7B209bzY9wSvoQDm6gq4FhzW%2FD6vr6No9FzFlK95TuxuYICQ7LirLvIC35hlN9NuBjhYqK0sCD5KKNYOksosgX6lXDL0g6KcEiKjtRf6kvoHyU30Dtn7z7LPUjwciFP14lSKMM%2FAr2PfPAhQyE2bO0TVID53LBhjYCB1YsaqI2kIKymSzqyTBFiiOLbikiqJ7v513y1Q3aBaVcL8iuffbDB5fiI6p7IE1l5jMTFBfUXuH2WyYpUsRqY0kR4U9R87a88bhN%2FacpX2c%2FgFZ%2FcEH6lMrdlV2HSENJ%2BCDZdWnPsDzKp2uwLQTeTbIbKzxrM6iTQ0sipiAjeuv82UzYgJ8uR%2F50ouY%2BEVF6lfgCDKnj2LicSImRoGhetDxWZJrgokcF0%2FEk8uPHNl1Yq5Uz9ZwoUzC1n0KiE%2B7Lk2AR1xUsWcBJW8GRwKMbzOocjxxUJ0sL3qiTTVZmJOjhRwXrXAt%2F0pA1m23OiqVLOnKVjaOPRwgv0LJpSZg4pO3YJk9PIGGEuNn5jXMe6RhgNIQYLDVKRcEyok2IAxvtnA%2Bf30aU0L55CmE8uj6SAvMbMOJyPQhmUHaJ5OJ7IcRf%2BpJOH8nubsCnFvTmZqZVQy6mWFsxYwSADhDFE6A2%2BkqWTReDQOcFoTLwHu8cgCH2CyWJB%2Bu%2BSKOPGHMXgkPB0SFAu0Ns%2BhAjnuNLUkXOpmFqCjAiu4gsq4k7TqifhU0otsvuYeM3v2Vl0EjYn%2F0rqYWbQFVCTSqk%2FHMdaftZjQdj6Hwupgocx1TFnE8YX75qmVfBOe4Lwhz3I7zrmw34AE7gy7ymOacgIHXGDdYLcUBGReqMaK7HwF%2BXjBYLaCbRBH%2BoLtkNiFavggsL1EqHsx4nQGd6JrLDrApiNFCEt3GnBgVQJHpy%2BdgTsZjKcRuy8tfuVvd%2FMXNt5WOLCSj9HOXdphdj4rfdXh2xZESLk34SY8xsOoVdZ49nh9rBaOYMoo%2FhyIumMWgRHMOBy2URWnXkkMxE80ir7XmUHdPZKmJYzpUtrm8qGxYq2WH2wdbqDCAtMOVDZf7BBgaqYaXBxb8IRKVEnntpfmMuFuOvVlzEqEMHH%2Bh1wnd8tryr%2F0f21us7zbIa9SHQF7LOHYtmo7TCiN2CEalbAjioBlQUgdduNQpDgC4CQ86QIdBBYgpteCqxjsMQToz0Kc0MG4w5xq8SaDcaOo5KB9bVpKulVuoInJsK2guIMWp3Vpk17cPVFZu2bKyAgrMXjjP%2FmEX1cR1XYH6gTiYy7K2rmEkAbmJq9J4ApAQ5K5nmITZYVIQHSTNGQVAe%2FC2a7ZefmGxve36W0Zvu%2FJUL9KPjA5Os0ebDMtPJodPnmtpa7PMPRnJwuly6n7g6h7mJOZ8ppxB6gznlGRV6aPjHAIyjei2DK5iMaBNZ1XpdJWysDVQVQZcJRdVG0qzgbWznUAjmzXUTKVJMgOzU3B5vBxytw3WOifKObFuxQyTljCRxvfTbMzBSh5Rc0sgQdEtkZi077CCQrfj98T4%2Bx1085xH3nj7jUfOqdhMe0w2%2BsauH98mHpCSVtJ1408vv%2FynN6oHtb0r4QvwvSvHXiU%2FxAvVXnxv2NbleIVfz73NGEBnY8SoQTRESQHjIzJYBSkwczWpzyo7dsyv%2FSejILMr6pMNh2q%2FxW2mv%2BVk3AxVExyHUL6JehAEfz1RABtDSIGYrf%2F2gbmXXjh7rfar%2Ffnbnv36rX2X3HlPbfy%2BzZ%2FN%2FZX%2BZogZpHEr9BKH9d9G35BHEzwRGB0PrDb7XD5ZW94Jgwqcw6Pxc4BEE2KC1O8PVpIEhrNcQMuIaNCQeygsZwrXXy2cbNw5aiR3A1zH3qyQVwCwJ24tXHLn3VXT%2Fd99YZdpxFT%2B3VtlU90%2FroBUEYGbAwBnlNokM5nZYPstZpYTonF4adocMEbc1XJ7z1yUGcFMOdW5RDNQyonupXgslimxRjgSB4U8C2iWHAtgL1ot9S5Ef%2BcKNFpKhjD6RqslDqOSIc07ZkfTJldV8vDuKqWtnUoHdbnMypbT1M%2BSjpk7y8TqxLskXKUCfGfOAtgeqJaSi%2FDTVVoClBzJKsur5f6heSjLToaLpoVgZfJK%2FkDvTFR9CwlY0Nvap2OosxRrAgp7vNOpnRoXy%2FyMAfTZhN2zzAZfoK8wODRrNiV%2BT1SM59HdkstH0ZmuCUcCLw6EIofqYB5UQ%2BqRwYu0oyAAorirXc2BuCQoQuFFDqPdTUaLRdVGtSw0xFF4dmkWueajh%2B3K2F78wEuobNVlbBcIDYwhHsB3lKfsAfwlelGxAltF7m1kzgqK4814EQpo7hYQvnM0P765Pu5T15PNmvVT5r3NOLr2akkKZbP0GNVcW2nQUPMwoGyxZVGtRX0QTBQryhq0S%2FywBZZrk%2Bbxj1dRSJdcGMwQjP39pSaQ1jScgf5%2FNCGBPCmgmIwrDXxK8JnXP3Gfol2pryKVCvf20RWwxb19zF857bTjfk7Q9QRN1xN0jxZPtTxUZmCKU13PLQBrMEYr1fVED64cZsJ4ZV%2B20NebSsYEAhbu6%2BwBsOh%2BGQqvCofwDYbgVxYn6Ho27nerQ%2BFwCN%2Fo3Cdg%2B%2Fxav28A5Ld2Zzmn3VzxZmu2nVmL%2BNH774f7%2BwKU55rIVAgSOfSeElA4dUB%2Bod0Q3lhrEY9kyYsIktUxCSQF9%2BFkLfao0cQCs1y3yjS910qXEktVsUwwpy0MejQFE501Au4Q3kDplBMLoLuBnhMVi89yXymOuYvs%2Bzx59pgfWLBIhwBj93S9LMH9GMBA7E3COmyUKuRF8mJIOvamFCIH1Ln8Nm847G1Y91A%2Fl0G7OYUpJxBGsJAs1Ga0cLXUCkXIljnLBAuyjaIA3MlmkUFNmm9E0FyzJiuuf85UTPPkAYOhGg%2BTOyp5YItLE4RM4ArDBPWGCPFRlaEC6gCw3LE3823siuEzWZdFHba42JEk67GQwxYPm2StlrG9FhwDmLNzKhX2ta1byam4lh29%2BUsWh8OCbxPyA0JMgukGvriUZiOAqGvPKN2gpmVgMhFM%2FAAsItVyhPonIxnALuIqpejyXsoBKhEYBiXQX%2BpMAUrR1kQLXTS622EvEoujRahExVK6BwSax73fGghmpmmKkZbdoPko0zws2A7WSbMcGHSheY0x1uvD7IcYKn8D7dzbqBzt4p25wqqOSvvKGWmrbRdoSsXRyuhoxTi8fnh4PQHq4FWoNJma5uY7YUfyDrSDKQzXjJIWvGj4TKrv5enYPgs2cQxeGvfZc0q4WmZtKN2JEs%2BUWnUtNA%2BW7EwSlWEYpGg%2BmUoTWOviYAA5iJMQj%2BzJk4vbh1s9p5PbVro68%2BRrsTZ32GhUbzxDvczfbOtwOsmmcvrKEV9f15%2Fe6F43MkI6PGmHnXvrmHtaky0oCORfyStfUL8HPIf%2Bn%2B8Bz7WAlOhhzmXKLQhZtKp9Ejo%2BHVWlJ6NZusBhdJT4Q3ANLlZRWLYwvQa065ZDIjArHaVEGkbJBwPTHoWN5n6lQ4RdpQed%2F4BgniZHpLlU3oDeSxyJMA%2BfJJ5CuwGHKK9txEFHZc2%2B1gj5xTXflqMxqw0I3du55bHlla%2BdctMNZz70%2BSUX7d19ipBr4waa5ZDdKcwnyhcKZxTaTAJny520Zd7qu5dWNq4%2B9ebi9UtXbqzPS%2B5Sqnu36CNBaJgWxIADo94oovR0BAS14OnDIUjlo7KDcxLO6JOlytIrTE9b2uYbzQbydTY6IxYwGG6yTJvfL8zOcCdPb%2FUQjvT3m%2BKphM127F97B439DPvRc7pfyAxzYBtTbtLstTJr8OGCYwOut1GudwHXW4AjklRQahouWp0wW0AHCFFfQ9lPAzn%2BIAZy%2FDSQ0wRf82trk7OKc6ZkAdlaMlDbLdKkxSRsosLDEKRg9hfkuJgTPGIuCjswGp1ElIHdCiKYpJy0ePHiG26A15Fd7IFdWZeUjsYqRXVzsRKLZrwiqH2PP37szce5c3CZDaUkM3vsmWyxmOVWsmYpFaJrUPSjb%2FB3gfxDfO9gQO0CfNkqNVEb0bUA3E4NXcuhT49kCHSbfazJTFDRcfnRGgJRRsUCawL8GRDZSkQE2R2ksnsmASRlAWQfdwLUo49r2BU11L2ZcdTTkit3g0YZ7sd11Me2IOrsnTXU9XyBxngqowsgjHLSZeDT7ockfglaYkf34zvXgu%2B4hsD223TbTyOY62kEcy%2BoLris0IhL5WO3%2Fh5YxUn7nk84PxHW8e3KCcOtdXDI4fqmuvl4R48Db1L3MoJ%2B0Z3B4EAog4kYQxmlt4q5GHq%2BxRCZGCf25D%2FdfiMmxUayVxrHozJhELSQFwDPXlTfVN8%2B3tGPx0vDSMPuk%2FASP3W8%2FPijdaLtcaTIrE%2FYRJRMx80twPyRlTp%2BS2h%2BwRyaQ3M6zaFZTfMLLqL5BcUsYrw1hzGcK0FM3IQ6QtnVMi1Lsw3K%2FrbpaPXc%2FL%2FKDDle5sf%2FjZa1IOfHv6G%2FZcIc%2FsTtT0H1Y6OfZoSMH%2B3Wx8cImmqQ6WBmMItgZUSrPUmz3dJA9cUZNDQ185yuIBiOBylK42CfXrRNSPg495XHHkPzBmcOznOcOTDnu3BbPTg%2B%2F1VbDWoUBWAWohxWbfySo2%2F9vcIO%2FhmpjSI18ONswFdmyrOoP2txRpl1SJldpehO6yn8H3HD0LNHpulo5NPhx7UUo49XKn%2BvHD%2F6FjrV2OQNi4uLdR%2BRwr1NvTrdNHMRphhafx6qYoP15YW108zQfAymxNt15y%2B6XCammYHl0hVh3490dUXG3JEu7hYw1z3snXR%2FC7yTopa4yzXMcxkoe4o%2Bu2G5r4VyaR7FBN9zqIquED38gxkVoQBAJPYrkljyuKniApCVXR4JXRRNouLtn5o4N5MYUsQjRt26Jh908%2Bs9gYDn6F53sPhX0rGIJN495r9o2eZlyzZ3cYfdwaD7mA3e3%2FvGZx8kw%2Bqb5LD6Izy3DOh270cf8s38C4wXtPQhHYOQBnuEwq7lgKAz1qQFrJokIJ2dR1hDCKvA%2BKme4ekFayobJl6qtaf5VBJ5iZoYxnuv%2Fel11%2F%2Fk2oUL%2F7G%2F3xI754wrOme%2BeP%2BFm%2B6%2F%2F9Au9o9bf3Hztlf%2F%2B77L%2F3tkxBzbdOmexZ%2FfRc%2FcjzrVeHxNYhaOR9e8WnTN1xBd82hEldHDJuogYojCgJG9ktcDihJG0Y4bQ8uJsYmhs6VHFWVyxMysfvUItxZguorhuX83OBkf6HkMoM0VwkbU6oU0WwgTuZBmU8m%2BmcRBrppz8RVXhKWFy9ctnZlYtu3Lyy%2F%2F3k3bHKed5hJ8aYuTNZtPL5BdZ37za195acP8u7ZcfcVVn5t7ygPFAd545je3rbwoeLbRt6ht4Y7e3CW76vbyS%2FxnmGYmCmvlOqYcRGo4qxgVwAFL0QHToktIDV%2B11IbUsGEcOBRG01HxiaVIDAliwlCxFNJCHry4ryUWT%2BguSOA2XhYmKDoFSWO9RIGkzIBihrzzKLkk8m31FTQIyeH2gco7j6oHH32H7P8aefBydRP522WXSaejo%2F3Rd4ymb4ORaMMrb6j85tF33rkwSx68DK75n8suW9M8Hs%2B9D%2BZSM5NmFuiYwbSJZZRUVTFrs9mlGAHLDMXSXkWHIlOKuYAFpVArsGDJHIS5lOgv8Ub4TNantmwU4uO45GuokGEuQiQzkWIOAyBjYG9dc%2FdkZB4Pn3%2F%2BWeEQ%2BYz6gOBfMHvt7H4NoxUt62sYPZAHhEg02esxE%2FJTMocM%2F5J1yLnZF4%2FjtZf6AeK4%2FjfpeJm1EWvVcRkP%2B1P%2FGY3wC%2BEI%2Bi8wqyoK42UGRPf5wObXxqvUEm0QXicYLTObIinArWtopKw%2BMhm5taSJLdyhrrxHw0ku1VCaW%2Fk64rRD%2FT2eP%2FmLWn62lpckM3OZshux8FHrEewbs1ao4z2kcFnEzUQLdUouL0xCI5VpPswJssswH1mxxNio541IsEaYSRw%2BzCQPH2bMZ5bQGwoCN%2FU96g2tfE99Dd4r7Gmk7WXtyMvqL9WDL1eoM%2FXlcfv2FqCxB6isRQWtOer202gL8Ej1ZA4tgkHgT1OAKpp6cli10Y2spuWqi8l%2FHN1P3lYX1XIba7IeJX1ZQj%2B53YkZWX56F7GGNVMLSdXuMn4n%2FUY0e2DKzdSAfkN%2F%2FaaEub2up3j1eg7MhREy6O3CnBft129ne%2FE32SSbHP%2BVBn%2FcEuRCoC4tnMGrKF9WmCJ3C10vIwxTmJTQNjnBrXL85N1dx9fe9HsX%2BSX095nCuCtKcwg2fmkXLugN30M6t9Vwpr4KQyPOwDciLNDkMNs79kN%2BCSKMFSrk7SljRGMZINlzNebksyg0AvWfIZPiWXk8BsMzrrSiqoV3gNdz4yYn%2BQYOEtwPswy4t2t8R2F1aHznphVZ1qrOd9Hj3aur8U70PhPuocUfQafh26hO49Z1GlRoUFQgO0%2FWzaNkgpnGLxl7%2FUhdCydOthdo9C1G4P7Gf53m6GLqbepb7Io%2Fqw%2BRjX9m140pfyYbYQtxc330M34lfyVaMwkzKRBZkOAg2ag%2B9Bd2UCJjyov00rGXfISMlTRZxzEc%2FzT%2FNPXnjtDMB0cVS9YQav%2FUzIeAnvmwDzMfqP9CwjRZzHuYmvWQAzmBSmVcinN7iAfkrGfPHvU99YD63h0V%2Bo%2BmO9QP7tlDTqaHJ8DlBB1iPC8J4XI1wGXX4MLcIPsEuGwWjGcwsMTwsGqWiLF%2FMnjRfHQKWFh4cRygptIqS2HS9VV%2F3QmmUUggcEebC8Uoj2DYpSk3lwtyIVVICSlBngzEqld37Hh15054P7hjCixttTPwPhEmcSJM7gaYPHWYHOMwOafABJwlpCZDs4l4ye5n3z1vCiS3qO%2BQ3c%2B8e54WTx2HYzozyFxEIemvKoNUF4hS9bpXG70hOtfCVSWsuWUBvmGAL4zrTbQX1pu0uN%2FMt80YoMOYGtSHUYmKSgdmKpdtzjQq2r1iyUim4JDLood82DCD5hV4jYKDl3PDfL43zWGlpAf4cTKGr9zFOwUja2DNvIP3cB6fSTY4UyE%2FqRjc3bHmeM%2BcnqbsyXOTt0%2FlVzbAGm0WwcCxxOvy2VyElyNDSc7Snl2fzS1p8xv9%2BQ1qujiBPhjJHahxtEQXZDdN4vFVMdeIH3ftltxSjYd9qB1PRbcQxYgnJpwfD7H3yKgWeJwK%2BB1gEBUrcL4xDucHS%2FMCpuzV43ARWhDFZMqOQDRHi6jKtng3jQNMQ%2BlcNjS3o3%2FDUy0L4RT6N3pQcwUVYl8sns7Q4XPDniL1lxhMywn1K0Qsh9vatThePjdMCvmcFGZlQMBBBCmeT5NUDtRxONpXiOdzsAsH4VRO%2Bl7kts9X%2BrZscv%2FgB4HnT6l84fbwBv%2Bliyv39b5SCZy7qLL4Ev9PyeHKDfcFKxXvis%2FOrZy3N%2FrSS03337DwYv%2BPfjTtq5VFF%2Fp%2F%2BAP5ogUVjV8b8%2BYi4zlfnroJWM%2Bb0yUfGn6YM0VzvrzBiclxNC%2FgBMlxDVkPJ0r9WnjbbRfX%2Fp84ffNXDVcxU%2FNVJ%2BMQnIpD0wQc%2FJNwCHwMDoABORH0m3as%2B%2BFO9bETZ%2FjFd6yr7lQfnwJzkw6zj7I%2FXy8O1SR7QIOZFofWcu2cXgqz6NNhdjQdJ9dOJpji5aHpXb2pKVAPs9OLVz75YXXj5ic%2FHJiab3dFkS0Mfzj2wcCHT27eWKtXPof6KYxMkObcYThW125KrAEYm6HKMc1kxuLhsb1snLxEs5l%2FPuX7ep5J7ft1XxXWoIOWpH2fpqx2qQPqLNKtwfBDmKOLYI4aUU8yUC%2BQQHOw%2BCr%2BUIk3NKRVIyA%2FJC%2BSA%2BohrZx5bC%2FWFOLvfAYG4a3a7xhrv0PGfweWCcXYrxdug3ryGdIGsHSoM2u%2FU6PJv1K9DauowZhG0B2ccd4d%2F%2FEgXnWW8g%2FbK7e8%2BvT5JuLUsGBb51zVKGuM8E2xlp%2FlyJScuo4nE%2FjzwEuMyjeT5E719Zvf2UmSN6ubbyaj%2BgHOjEdgF34vxsT5nfxO%2BnsMGLpREWxd7VdiJIUXqa%2BRvTeT1E71tZsVOKJu3q6%2Bxubxx1I71Ne2Y20Nzal8gOrVcWY51dpaqkqc%2BrNDmVpmBWl0Cpk1qy%2FgwuxKm52PxrUs0DjIaTMuVyER6Nk%2F2W9BPGGCajrG61BNR7Fdy6zUPsjaGXzc2%2BeN8zN4v%2FfHkn8aSO%2Ffjp%2BHD3ae%2BjNvKOQlaXgfewlkuKFO1yTTwUxjemGF6WXKKZTkPTkMjqLUhsW4h3Zm6KWdGYYA%2Ft4e0b3favPkZ2hhdzEnRWlyDMDV15vMEKyyd8JUg02cVU7iIF6JlrN6YlgEQrNtCmHMAh%2FF9eRSwrEx61CqJfSfPrdHej8aSg1Z4ix7aRFzwYtczON%2B9Vewedf3DY4WN8u1aBZikVg9pqdS08RRu89vG3WnkyWT10Jo14DDG6Zl%2Fhm31M3cLS%2FZ2tf1Ix999Cf%2BWVo7lB3P88uBtoEpsKVeyk1SvpDGHL9hQ8HLOvg0Gxf6fIW%2BxDAmEaSSMS1WzQu%2FNJs4aXo6c8G5X77j7c90LfrMZZ%2B95vrTVznPcadmF8j0eRs3ndbu402CNyrGvzI0pN51iu%2Bu7%2BYHbzp7%2B8Dgmlx3uD%2F8gvrDn%2BxekzMbPc7CjfZVI3uTM8%2B6aXXWazaEArkrWlpe%2BiHOmUsZGz%2BH%2Fw9mAXAZURZSjppbVea6SoMwFIvgNTgX2GdGH029cXtlWAl9GrBhArCCLhMmiA9f6GNTPtmXSqbSbAE0nDDn4AUjbpNLDeZ58yIjM6a3OVsc3uVrRUPEZzE7Oc7kCLT6%2B%2Bdsmj3LmXz0H3xSar7TvXyVIWfvOH9R2snaeBMhVlfQnZwhC47emeRbI%2BHpN3ZLlsTwUHjkvdSKvcXowi6Pt8Upm6yEN3qbh2ZfMvspsurirjUPGVgh%2BrnX7jNFzrv48VW2gabepjY54OIt6aVrW9KXYJ3695gb%2BPf4HBNlZjLzmdkMLk%2FtVWWGlk66IKMMHlIK1dJCIEIBVL5ZFnMgaGpvyw%2FTPC%2BmZJ4hup9nxNZ0fnhkPhX6QBdjNmyIAFmMsbQhVQgbskCZNJ%2FSio3yvQWj7JMLmJgwFDQ2z1t%2BxZYvjn5xyxXL5zUbg5MP7BZmd5%2B2%2Brqbrl55StcCKymEZvSHe5T%2FUdLn3dpzwQWJJR4vu77N0rZu9Yb5mcz8DavXtWE26MR9y4ahM6d3tuVOH%2FiMgyxMzJ0RWHQKlryvWbjuiq2zL%2FBvaG3FaQq0YIAWCuOjGQ0nMV9jys6aJTqSwWxQpS%2F47aH%2F%2FM9fM1KnRXGmHYrtO4aSg%2FzNodi%2Fozhd%2B6xOm6dzn4u%2BB%2Bh7kL630vcEvpfhbMudLXfGjWCg9SuBfiXYr7T2K4l%2BxdrPPG%2B12V2BYGsirf8jsyxwyOGccDCdVmYFCaPRGtOncySOBC64kaw6gWcSmvoBVxSSMAgsDghfJ%2FiCocHEverL9yZWPnb5BSnL7p89n9h0FyVqRg7PcDpIW9LXnYlN82TIxs7U7JvT9mBQSJx67hfHyS3uPLriLunc86%2Bd7mxT3%2Brb4X78Eo2imXXNK5uCY4%2Ff7UxmkzP9s9gbp93Td9csb1ubrXfT2efR%2FghfBeHopvqGG3PRk9StkQKQBbSkQX2WxCaSj1%2FalDA4Ek3S2DbvdO%2FYtv8iL5AX1Mcx4DNnzvwWviVmaDl6qMj%2BfKy7iIIMu4PU8rUkKnfbYVZj8ihyc0dGSVA568OOOGUfzZL0%2Bc2d5YSvVqNa6gRO9yVguofCaJOZw7DpS1CnfL63r4DeB%2BqPChP0FaQSIvUZZEhcMGKfhYJoMCaLPifZtH7rerLJ6fOL6gPFoOfMN870BIvqA6KfGNu9PQ4yl6waXr9%2BWH1a%2FUdHj7fda7f9Tf3bab5ZXtG8bJlZ9M7ynUaEv9lwNa7le5sndWEowGpSzzllVjHr6tH3PJaZabkwmAUEhj5G3huz0j%2FltuYLObqfXxKSdmHi5C4pVPzYfzT2xL5fuzAkHVtUS2GH9ebv2tL89JzhGv4ZxsK4QJc%2BieppfhpZ9NCkGxNtL8Flx40zQmsRfLDUW8V9gt1N6yhcYKU5cBCHCPZ6QC8pcBmY%2BlFSkLV9WCDX%2FwUXvYfG9qpPEu66Hc%2BpT7KP7bjuITz4l0qFXf8yelBfQpXtup37x%2B7beb12oNFf5gZdUqsBdoEhmZvoZZoYHiNiPJasZYuNPaX%2BpIjZ9JgQpuXPIzcPMFqeFR3%2FBHBzN7OBKUfw983VspmWapgxj0%2FKYg5MRw7N%2Bk6gRpr6UpPYFAMbcXCukpvQDGEZSx5LGeByDlVckDxusRSOALlkTI7TekJJXhAgoKgPG1O9WLzgdRhAlNfaMYGNahTXpPKJgfaIaAUbG%2Fb9qaXnfuU7Xzl3acpvxPZMpItdXzlyWcvpAavV2xxv60r7RdORSsfKbRdetiKXW3HZhdtWkrVaIi9W%2BWG%2Fod8y3%2BQ%2Fw72BWhMno6Ms%2FDuygWz87dg%2Fkd2%2FQ3fZ79jZSOt5zOv8D3mmVhtvJvPYOezIb9WH1D1caOwFdvbv0Amn1dPNYIqGLaDjm2AetTGoU%2BtOGIGq1uiB4QVNRdc2HLiE0QpIGTQoeKFjXXyZdJKuH5Cbf3HsTXLvL8gNuN9ZYQ%2BQJvUPtBUR1rVtVv9AmlCdBxjdMGZPwJhlAdpyDMcrkFO6gPYuJallB2Pwha8im6BsAhWpFbMXMWWxWYtegLJUkpsBpG46KskC8A7oHOj7RM8n52A7CV1R6QjRzzgur3hZNJZMuQ1OR4C7KWloEs%2FEydj3CmsKuyOhjpB6EN6yNI1GnjZ2W0u3gXvS7%2FY8LEpw%2FNhM3u6jszervYe9UqjS4WMacoOxjsPZmAHHozau2LMUl3pFInZdIfmczvRRCQulK3rB62EsXuVu0Qpatd%2FW8n%2Fxt10wVvXfdtL8QYP222IGGbnBPsuRKBgW4%2FeIEmy1pB5suNMxP9aW1aYWOhoISQOPbacyNapVs9HOTtQzhz2cNLccb6YaH8lpTJCDr738MukgHS%2B%2FrB5CDteSyXX%2Bhf8ZsCe3w2820%2BoitEctGdoSajydjIZroihxotL4T8An%2FVH1Fy%2B91JADpgCVtfqChVqGuRKsYmeFEC1RMlDu8VZpWVZTzXcXoVZQOUKbqUWwmRpWaJkjoj69J6f8NBEtc1f2YNAIhGG8JpOO%2BdsHIk8ZWr3sHk%2FC8JR6V1FLtKdDBm9kDfs7X6pbHmul3iy6ru%2FWc3WtIKsKYPXQsmsGC4IVo6vUAbBladl0qcOIfs8gJTAHTDuTSGlezg9yw4YBkhATcY%2FPAfyMHv4US9vZ6HIzljw3GwjwjljQ9wphWd4g8BX2kbEzkhnWYnMauFXeEF%2Fg3g5JyLzYMCDrz9rtR1hB8kXXHAF92sILnIElR449U1HftVlJs0ROVn%2FLraS%2B%2FmdoXgvLLAL6nwf074R1Nq9XEeVoRmskhzLVny2305zq9gTWxfVmtNZD7TnAqqtHi%2BH3DZCCB%2ByCVJIGLASjFEYbuu4ABVTQkDOE0fA0xhY1ed1XzXRet8ptdHvP9ML7quucM7eI3qag2xQuXvjQ8hv%2BMmOGO0get02fN9067SJyphR6msxfus3b4glKnlbiuXGp%2Bq2nAfM2gbOGJHe71yu0%2F1vP0FCPEflTAp3oQf5B1Ldoqyn8S6G3uyCgwzslC7L0x2Vvdu%2Fe3f3msj%2Ft3%2F%2Bn2vYf95EX6Mc%2BevrBrt8s%2B%2BP%2B%2FX9c9puuB7U1uqjXRcSYNKx%2FNK7cdghj5lio4msD1vPWqhaId4BgRAwsbS3xpZ7v4mRBRxFnkpwkRCUunsLgZXFoq%2FNIOvF%2BaCilfrN5KJVtmubYcLe3uKsIhvOLRw7djm2ZPlxc7CfrI53FrpO3CLu6Tm5rfvlfggn1DnL1qwef%2Fc0N6h3FxtqwJTqcm5lyM45qgnp7mRw2A4BVU8CSZ2x2YanHx2G4Yf3kaU2GEtfam2gVu9grQNSwTMZFd9nU1oUucK1et92tdMKqkkYR3kE9STmxIPYOEOQG2aNPwHr6WIZNFiIwBVPRPBcX4jDTPgn3Ioq0sb03kFEggLp3MgEOvgrIk6vpvIT1r2iQ%2BDUU95OYaxl0pbbSFiXtNEPbi2iXe2idfA8t9Rw5Lu7dWnJtN82o7R4E6YJFct2A%2FH6b2OSdSY3CplZAOQ4UEBV%2Ff8nbA5SRB0%2Bi3uWCSIkA0z0BMzpCaElWtLaiEdoqQY566DJHk7ijHSzmv%2BTB8k0ZTJVis8NBLnRYRdvFDusakl6z6eLVm7YLTU71SeExsAESnzU2OX%2FgcrtdaoFYeTMn8DxrsHxxrfo07eC1mLWLCYv5LaNts8Prdly7ZHSZ%2BrQv9XDTKWSV1BaWvCFCWM7A2UwO%2B%2FOr3tVl2rnAN2uZMI2hXEs7omiZorBeT8f6CmVGtjydioPp%2FUi7IbqUYC0CbYIQ6dJqEZBxgNBeF0pAZVALsCQjWFJoa%2BbbKe1CrTThQomICtNf4qZj5Uiqi9KOBSFo0EiBJcCGMFvLYkpx8VgqhzI8WhATAha6CQ5DB0ElMyeeexESyuq42O6yOsjFgjf6lEl90tVk3L5pteUNZ5PxsySxSf36urstBmIAgpl5K1FbuT9W2NmjS8i1Lpdkv8xmfIu3p8SxD%2Bxfa5PIqmK7V336FPLf7636ptVpNXMYaSGqDSmszbWNqLMaHGCx9DEzwEIpF3CuTYc5NZBRpENKAfuZldslKkJnAHlycMCFein280O%2FSzsGWdx9%2Ff0lR4bmdTFY4RNma%2FHvVCKP6VCSmEoancSITVAKw4ZBrA7ow0nlkw2iEMUaso0UdNZuf7hNUp9eNrrkWmfCsdl32qrnfQEN8mwWkTpFNZvY9eyP1fuMnshjAlmLpLlw9SWb1qg%2FW20j9kt81rX3uO11GpEKutK%2Bj4RUXwe7paLHMFjGwr1n8MO63QscM5dR8loPmH6apJ7PKp3VcictwemcDphHs1h8mtKy0mcA5p0YB7SBSl5ypgBzO1X%2FjBEwOWeCrJCw1mSIJLQmkZgF4CScJyqLBgc1SZN5cRBWlVTSSVCTZ12%2Bzfak81qydHQZWeVtf9g%2B9iHMAMuX3yV%2FPUV9ytuWzXKC0e%2F75j2A%2BsKI7xI7sa7JVdOrL7pk9YU4mcha4bFmh1PdDqOuvr7d2Oz8vs%2Ft9pGKVXCZOLv7HvYyijiL%2BjjMkycZB6w0M3R9xUX1Nz2%2FjKbvac1DXTZ0yLq1Hn2Mh1aEl0ze%2FnpNuB42YEEFF8xEMpy159fXPVwPlb27hyRYUJ%2FIPeol7Jrrfr3nrD3qu3oA1EMsr7xIkqTjJV1ffRJgcsGqN123zGAK%2BjSYtGwGi5bKUPJi7yU35nWVLYzYr1Wpo0tLpBBhV0kKErqzC9E8QHRt450r5B4EST2oAUQB1gB6VH39xVdemkKjYZ1GYp06Wvadezz7TkRj1ubsp1aaQcIsPHfJ6tW6zk6gU4J2rSBT6QTraKUGUwORHkXLi4xOhmmpDpO3cdC0vMUGsKQJYLl0sESaHGjDdZBx9U8dyoSZ9qM4Doi0irNyHBg3oyWp6dd8HU4XczvzJebLzFZ9PDuqyvKM8oUMUXZTcDURu17rTvIg5oAx2sCuF2c5HAZPNN46uGjNNbfcese96BuwuGdZ7LHktIFTz9%2FywJepEF7eIbqf903rG5y3YM06vOYL4iyzhfGuv%2BjWHTvvpW5Oz0Se8Bh9gtcnZNE1LIfZgg9dcF4HQaHEFmA6wn%2FsCGwEZRCjqX1pgtuFvkKYlcMkAko5nCkMc4VkAUPlhTSX6kvhjIcrU8aUAyYptocV4D4OnPwFXxbevD4pzRVylKTXUuJpJP2bqckYIzaf3%2BRf7RvuD5nSXEe3kRg%2Bc1U4Fuccabtjnmgeakm7si6eGNt51hQIyh6P1egytjUZbW0Oh4fnE7zBIvh9Rpcp4pbNlvb4TJvVHOmzWYXMSqfH7ewMDpucQ05pmOM8hOshHBfkLKLVLcTMXc2tD5Mp84CcEr262TwvYPXwtrApE%2Bbdi7zzzUaPxcZdEWodjpiJILishLVa4zKbYe0mzpd0hwKh5rDLSIhg8STMJm6hJHdaHB3egNnt4cxWOSW1CCmDnTPwrXGfjeNsbqOFALWElNMqC7HLLrO1ChabyPvXENbI286qxclY%2Fln%2BVsbLMIOkQID0fbJBLoCSniLGWIY42fXRZRv%2BYac6dvdR%2Bz9cv33sKWen89K7Ol3sunNf6Tv93Dvf3vbs6fMyY0%2B5XJcwtAfiBuDNp%2FS8cM03t4LBfgO9VaVArePmDPaVAkMfphPol9OruBQmqjT%2Bkz9U6ukf72lZzlPrLY%2FWG3ZGxJjQ%2F6Jag2CzKdpwaqJRd6JtsEIPqzatdrpS%2BZdxQ%2B9bx9tUH0BHIHugON7fAW0ArNjS6rX0kKrWMVmzq5kSY9INd1ycDKCfCGKRe%2FvYIu4W9eEKv6SIBd7qQWwAwzTaFminJ5gN1INDaFVrKIeagj%2BG1e1aBWgyozgPKTHaddAZQwKCagJg0Ebeca0nIRaGxWlhGHYhZLO47jIlB6y4SkRzD0qNHVPrJR7Ua0fd0rQzbI12pGugvdI%2BgH4GIBz9Rw1jMto%2BoBEKSzppHTozwa7HuKgXtKNaZp47h1F2jKpr4VbMTCA0Fwk9lNgfhStgEFW4ubKzglFX7YN9Td%2BrYEi1gi84wLXQj2MPaCfZt7RrGL1X515%2BL813iYCNPsIsYX6md2x3VtFTviinBKrK3CyWBffTvgS92XIbpVnbSebOWvudpQ0pAbAk6IXrUWsndtpIaqb%2BcFUZdtG4yYLqvsKC2aZOpYdaGwXaB0%2FPfliGSjD2FbA4aFuN0jBI31L3IOg%2FBTAdnjM7PXxGyzoKaz25bKLWG2dfR%2FfgMG62aUk4SlwsZQZw4fGT43X58ekd7%2BKxPupPwC0ZbBGWes20%2FZSghakSWkEA2Ogn6gt0cSTd0iL7lsKrpcUnr2yPXEfM2o7DCXbOghwJt6QjcKqFlE%2FQPug27fzvu6It6ZZvt%2FQYthGHw4c7lrt9odZcbqWvBW9D%2FaO%2FZAb4bwPvLAftCvMdUlW04kCa9MGoVbFXBPZvYEopzDmY2a%2B0iPutzmBTD1JIcpeyOWpEGGG5yWVxVeorEIy3pjCALBDgN71%2FvYCNJeGwfgk26AnDwgNqZoTgN1C5jMdAwpKm4LT4lnkzp0dntafaRHJn3O9sOtVrTp8UV68X5pJrvR65Kel0tY79undh4VSzwTmtNen3ktN7hzb1BeSztpiE046NCXNZw%2Bzpouu85XNXbTq1bb7KkEP%2FtKx%2FVrOrp6OzC3%2F17Mw6kY3G1SuF2eQqn0tuTeEvjsyMD89qbZXw9wp5Xtx99rmn%2Fe0jRhgkH83ef8a6z7VGC374Mc23uILp47%2FHr4cZl2eGGJTC3dSPI2QJkg%2B0Bq2bWIemNWCzjI5mbH0uOLV8HC4HRDVofh0gCHVHYZ0CdlRMsylYhb24jPtkMG2HWbRcY05KJ%2BOKl2656%2Bzz77r5xfi62fNf2iC6Oi%2BfNzJ%2F9rr4E0PDs3xnbFx5mW3W7OEN%2FYtmbLk8t2DwHM712Zduvvmlz6ZPvWj%2BvH%2F%2BrCzPuHneSfPmX3RqumntScO%2BUy89%2FVLb8Lz1zfM3rnrymRXnaPj1f%2FQBfzX%2FT4wf1h7G4wVAYIwJbXqfErADPoyzYKQnQKgQkC7wCSZEL80fgBHvH9kx57QzRkjTyMgOk%2FWCg%2Br1fz3LnQ4VRg6O7BBsFxwkt8J%2BJhyKF0Z2jJxx1iz1DyNk41mzdo7gV749ssNswu%2F8z1nu7umFEcKfAd%2By0G9tEHtyofiFnXBkZET9wyxNrlf03oHYQSWEefA00hqgVrWbemSMWtcXGBnYd2tVGLSDBhU1Gdr%2BpckNyqbR4NMew1AQtZSOmlVciIpRt16ZXxk878EnvlycoYVWimio%2FsvQ2qGhtUXuW1I2HQ6ns9Kx%2BSCx%2F8IeOPYanhia0EvdP54VE8hgozEU0wTjR6lkb6EvKxOfV0DFgYCMJpkf%2FwxUWmvc6XR0OEgT%2FWhV%2F3jwJ2TrTw4SuRV2nU71LSd%2BxNX%2FUg%2F%2B7McMR1KMG%2BzK3zA9wKGzmfsZrGPsoPWNw9lyN089LuhJGKBOSHe17B7AY24Puhzm0AY5sNZlq7hAZl2lLtJZ5t0zMBUQDE5vZJhuuUqzgJAgOpqx5r6pWpqLTY4wu4jtV7pExYyBkG7Ybe9XBsRvMI6m1Awa61fcmDGI3nDQccU0iaf5fK%2BeKcjLcRAKooyV%2BEbMF8Sid483zAGXiQ7ioU1fSerzhnWLjB42PbIsE12%2FfXkxOXflYCf3kKlv0azY4IpCW3l38Utr2gJ7XWKHt1nghxb%2B6Yn1K0lp6TlOspwYHYFM%2F%2FrC6bfNFpYt5z1dMy8YWbDYrlYdgqdr8Nzhzz9hXbpMXNe2iQ2HuvySUQCz3m0aGOt03zprfkCPCZ%2FH3cs%2FDbTdweAqBHYDqChhGk1spo3srNWyhz4QxOPQaSocUvppD%2FrWbNlPux%2F6w%2BbOskD9XwKjVZQ7Na8FUtKPjW%2FZ6SOUYk7xOWukpaMnhzsOt9IFtO3owcUNjUtGLHUNaoHlHNILaEmlSryXPkJDAEsfKJ2T4j7YFoZJrg%2FntIx90ZI0QyY1bMAclOJjfq%2FFzGW6Nz528%2FcfmLOiNbHa2x6Vw395ySRJ7TPiZ0vRL0SXDGbbl6c65J9lU2tlf8EoWUSbaJ5ma2XXF3sKwYG1Z7atL1%2Fdu7g5JHX1N6%2FqyBWz20MDfVYHiYW%2FGJC5EZ4P2qx38w6j3SpaCnfNB5kD1jX%2FjK7LRGr9Px0ZxYbNRJAoJSsYg4qp3lQ0LppZfGdpDAXsZf2TRgFpSQUNhxzbyt2C0T1WlxFG%2BgwF7H7xmN4TxpgDIa1tmmhipbdaYnhgbzvNk6eeuXKIRkdDMrZAwz5LOIosbZah5dXhgwYwtc4uwxct%2BiNfLLSisNSE7chdoLIGstl9bpdkopVyHpRN2Gmjlo6nmERYE8DoNdFaSMUuKiIOqGaLR2nPaQz0aI2QOFFrilQAFZJ9uYIxpNEirb45p3gOOruLBFv2ICFo01c8q7U4OowNiiqVCTRx0DrDGLNHyxcsCRbsPER9koCrifpdQHK6qJO3mYpU31QCCICMUwJkgX9FJIDDReNfoRaNKB4gzr6gxWrSNLwMNt5qJICgESAWwWoD3oDVBqVmF5zzYx2mEmigho49N5kqDdRAGhTrJDlnnBoaBdgD41Q5thVLcigPLtF5xA1csqnWvxRNAnRfACEoU5TtDtrGUMSJLWcUEX1R%2Bzwu0UQf7SLQRyV5aB4hdmSyUuzxIR20A85%2BhuWMtEuEA6tdDTydt7o%2FgyLGYXBDREtL527kZRgzbUxrDA4aOiDCvQ1GDj4oosJ8HA4Chd6NmJTdtL%2B2G9t7YLFYleJgRd%2FVPg8dHTvFU6A4WDQcRMrCFAfPRBx8k3FIUOg1Bk014kBbEBfPacShSIHHP8qVuERSvtTtGgtwJmKxktERsNZqRFz6VKWwOw%2BVBasHlyRgUmw7Sbva%2BixmfAfpq8FtNaE45YxaFUuN4LQvWO2Vk2rihNaD0da2mLrYQHTatrv%2B%2Bt%2FBawV4nRReEDAgfCx0nbC4EV6L7xPgzUlcA8x1eCsakHoz3hODW%2B%2F5qNWdd4zX7jZPLY2W6wXRzNSC7Mn1Y1jQ%2BPD77z2CRYwVraRRq1zU6hi1E%2B%2BcVCt3HGivxdFqsMTQizkJmvhUaFBkyCAWaKklU2r24GbseCXjkyH0dJP3H0ZYsNLykfcmAFkhS9V9COkj72l1mI2QqrYjR8bjfv9reGPj8Eb%2FHnjlJiznrUM0Ad7ikSMatO8%2FPBnaIiCy9P932kY5hLU2zhNhJYePaEyAiACPzGwg7WaAlfKkwUvrC4PMIFNfjqnbBysH3FqnY1AHZNrVGESpQI2oWvaGIooKp%2BXYY0KEJ18HLl%2BDWnvUW6UGFxlFeBCuivqw%2BjA%2BBmxCIS7V814DQXeI%2FyoTxYwfh%2BYbgiWxmUakMRnC16wlQ5Q86PF34kwFwoAtF0HLuI%2FJ9YHhZuhzF%2FoyoImBrsUIxtdMMknvNhjMZrPDZmWdxGE2yerPyZdZVjCbnRb%2BgPrhYhcreNRFXslqctrZCzyiSHjyrM1pM7uMP1d%2FutZTn8uUbn4Y45lMmdPpZsKabCw1CtK8DhCL3vrUtmoTuhTk9MxExSUqzVrnURjSQj6KhZDUY4VZn7R5BKUpjm8mr9Uik8OOyhlnPPoOrkxU6AAxnd%2FS6PctXmDZd2hQQKNsQ01AiGllVutwOumiGgTAEg22mVXz5CRR5QOT7Dl%2FIBxpaUWtF%2FSDOFYtYzWLyRyOxenRoEi9bfUi65Sge920gt9CCvMVE7RqQJ9Ny66rVVQ%2FuGVR8dF3yJ%2FJxvvI4fvUJzSWOHvh9ffWGPS6Ze88aiZr71Nt96kPTaltObVWj9NEH9Lhaaxw0apysKUEWKKBuoeq9iC053mzxeF0e7RKRrkJjhCjYLO7ROaENTqs3ljiRFU68uV7Lr98z4mLdNx4%2BvIGOYa%2BUBfofmm9C7eod3CgD3mUaBGfCfQF%2BnQ6NzqQfbpPsSYLzCxt7Q%2BrvMPK%2B62uY37yAnkRMxmxWyY2l3Va1Pe4FuxGjGwytiXLHOf%2BnZPu%2F%2FfdXEshNE%2B4excWqauzyZnjd2cP0PDU4aNvTbj3jXBv7LtZw11boQ1aY0rQ6GxZvL1Iby%2Fi7aUpuIMZOuHmPezqL6vzdrG3Ntz8u%2BqP2dW71Xn3j83I1p%2FfhXijz9Zfx1yqYgDRoPUi91HMffTWPrx1cDLmciHFJTxYWdoIwMaDGzez3%2BKO3HfwPvKjBvL%2F29mvbjz2JmH%2F8T%2FhjGo%2FHhzpE8Dhyf4doHhkQS7I1gZQth48%2B1UO7%2FY3ck4DMYoHNx4k7wB8977HfuvoH7OaDJPxmRz8s6BJmbDOg6e2n5lWPhmr2HFOK6rHmh8zkfkH1IT6%2FeXsnrEN5CHOdfQV4lKvJnuq3BNj02sysUhxwyrMpQyuHkYYSCMdSHzmhiNbNor0gRI87Jmytef%2FgfwxUhHkpO4hWkrnNIrustkna14hTaTgcwhkWjGOOm4siXiHpCPA8ZWwd9fYnF2YKVYs7uLe9oapEDz2DBboq5tD3PkVyn%2FDtP%2Beh%2BbjzWJQPwQInRRCJxgVZaNzAnjh2kJtpJ2KmZIRRGDZKvv1xvh1oCSQfhSkRAHLo7hxwNR3r9mmfg4hm3v9NWTj9WriN40Qvq6%2Bd82NAGAJTm64Xm3lnqjU5orR4KCwykycPiuxtQGYRENnBY0qQorUaeJpKIvUwTj%2FCfWQ%2BrxOoOITT9xY%2Bz8OivohvYgS6%2Bir9ORNX8f3Cb1J3ZR2F9E1GWjnoLRzoEljdKHKHcRy5BJvytbJ5wQKM%2BOBHLpAOl3Iz9j9x5alTsAgtijxYGk5rOYlJLB2yDKRzvhATkpmTSnnaFa7RufNqo2ip4WhKw00BjsCsHqSCiPaPrhSYY6D02nHwel42EyAvxF4JSRinkcJi0LKVlsA%2FUOwSE5GQR8oLdZvJuMoVID6l1AcaLRfPdiIwyUVOjY6Fvj01BoOFZoPZ6acMrl2QNMQwVzR%2BrcdXcErev86MnqE5g4ni7RrxZib%2FiDGls6D33tGt6m0ztg3Y6Si5AvmsL1JSW6mD4ssWZ05fFxkyebSqSPUWuhaqSsNvRA%2BugpTIlktaFUZNOPVh40NeM7p0mNAbq8kah0btZJPUDlKxAv0MyFhtXRb%2BKNuB%2FqiehHuDmDWv6Zf0h7Ro3rTaLoJBtrL7LdpRA%2Fzcg%2B9TON79V72tbrsGVpdNi29ZmpOFdmKS9M%2Bs0s2Yf9njNWYqcZusVJHYY8mHkX9ycvam1DvZ5HwYrXOeA957UmwxWxW%2F08bhtBGgVYL3W4Nqu8GEuwB2h4ba2Bq75t%2FoJ5Ee2D8czGUj%2FqNBvUK2o9vZcQjXinOjTT2Nl7C5DBDhkYjbTklVy2zVgfau22Zsr85gZXmKXxWwniyaxsmuxpbaFPjaB4hp8%2F2kbAHLZenSX7APjRwiksPboc51OqdBCi8OEAOBxaTUZrJmw0E1M2LA6otsFjdXDsy3ZYkd6pbkrbp04nBLDm4a3wBwk6Hw%2BoWcmf98LHb8bAe29RsJz%2FTzLSAnZxmskzZr2sKvgz1mdNSH7cX3UCZjNb4yO2iLBVoplqcOMVKKuQS2K%2B5bsNHZSkB6KSiJJ%2BQtCxz0E4PotE0WrkAdJl1RfWOYq24AQswUxfQY6hQaVdrBs3YnMrZ6qFi3dwfrZx9dqU4Nu%2BRWx%2BBcXExLv4h%2FiF8RrA7zMlhLjeT9GHBJxAwTVKFYYLpw07iIpHhe847%2F6f3Xx%2BJPCIKnu94el1bdh47d4todHze0e1%2BmPt95x13HTzv%2FHuGouRhd9pxu4MXt5x7bOcWscf7oscoPjwxtx%2FXt4zeXwmf45qheXsnZUoj9AEvTWhfZmCCtYn7ku3ZWZRomJpQIPneYS6LzCvp9VE0K8Hrm0mGyRDpa5ElL3aIBo0%2FzcdjDt5JJAe5mPUlV25emfQRQi52SChkvOGQ9%2Fve0A4yvINuGIPFra9vO%2F2xq4ozu8zm7EFvzkEyWd7eEpC8Tc0WS1b9qSPnxXZ47JNSgI%2FyMekev%2F8eKQabAaliCpzU0y5F29qiVkt9%2FmIecKAefycTO%2FdGpUQ0hT1dJa2LPX2JMn16x0fcN26gj%2BPQus5Xdh2hT6TGf%2Brmou5zqN3DTDvatOoRdm%2BOSjvLIepN1vpUaQuB9gSReuO%2FWoubXH2riKkGtEKIfhT1Hc0cr6VwsAc0rqImJj5LSu%2Bph70UsGpsge5PcNXtnq4Gf4Ko%2BRPw%2BX2iiz4DoCXe1qF1I6D7wZZkW7tW5DmpjR6G2jzoPMxpXf0NOXQogjqBfeiVrewBrLccm7NVoZ2TKMNjLyqgm%2F6UM3IYr1Bt8I7VGns1IUa930XNoff%2FEk6BT4cTXTI0NiAfj5P%2BoIETYlShDj%2F69II6RvwEfJpAW5szBZvWqdgkdGz2eaXmUB2Xfd5gc%2BxjRgcYGEaH6J8nHBXqXKlo5tdEDCjkFH4qKibA7oO5NBX24FTYm8Zhl%2F3jsEs%2Bvc%2FFcWE3iJ5uclyIdSk7EVT14V14eNeuqTwjU645dRxSL40LxbPYojFBH%2FWjw97WALu3nvGPtVnRKrYubyW15zbomGnPATou%2FPTp0xiH7iQ8LuugxB0HG6Tx9va%2B%2FuR24ulr3749eZxpgXGQ1dvXrt2%2BGltmTZ4PcVrvOnkUOqaOQmfDHI%2B2pibMh1iy7e%2Bd43Ea24l%2F3Ay%2Fu4jRg8rHznD0fzPGCbhoVU8pZskUbNqmYtOuY%2FO8Vwo2hyOxRB2f573%2BYFO4pTX58RjFsdZV%2FgR8iufixD4BMqM0%2F7uODOrDE%2FAJ0fy1Tmb3OD7hTCnWDlpVhLIfNReQG5OUCVPZ40mzMBYQZHUG1MoE9wXkZhOtCwvi88aQH2P1fu%2BYzdJeVdpdNCkrgxn24wKRKTVhURho0V6s0zg%2BeWQYaz1OBySK0kgGhoqOS6Jziuf8K52TlSnyr0LHGhdIKiRpCGly35kQ1lZovrkQ9YIGaMhSp0N40mMdEeO6h46aUl7gX4vDw9GH%2FSmi%2BJzZybvlJsoMwRBWWdhdjFd%2FrJrUr%2Fjc%2B4w2kZy4vU6%2BEKW2Q%2FREzrvQuJJ34qc70gVBy%2F3j%2Bb06ri2gE%2BypYRvNgGaAiYtNmQYBlJiEcAucz5ZbaIlOSxgszBYXOoWVQBarUeQsPtdUHHfEtnhpSh11VmKTLh8%2BWHaf2enmKUFiUZ0gYf05yrI%2Fglan1ECUxiy6OlGAJ6hChM%2FuwdXxBKQJ4PxGnah4YtJ8GQ0W7R%2FW6n7w0YP8i%2FxJ9NkKl9MMN%2BpdVuyYqWLSqryjDWYWNtLVah4FzfkTw8A0PmtFkrFffymMqqobDJSSFZ9m4IxgfAQfdLqPsWhPXbaL%2B6xOSXsyIEclM4g2FNTxmECzMCSv7CBEi2A7Llv%2BBhm96Zonnrgm3dX13CVf%2BiU7sobMoBY3eX%2FF5cgHT3%2FwlGPj1b94IGBzbFLv0x8H2YAb%2BvzDDHXrhw%2Bh7kcbF4cBZjFo0BxWFA4zweSsiWBoyRMAhYl8lXzxzGsngqE5LygcX1UvDn6leM3TUyDBNYPouboXg33BAIMLoOhGSY5g01CSQ8OMnAlmmfrBE%2FgfvoSfld3d3bup92Cpuq9W73ot%2FE6B3w1rDuPx%2BmSsTMllCyL8oKg3eaI4pHQMfBJmw13bn%2BEvWDS9C%2B%2BS7lt0gTk7cP0pwS%2BeeeUjrMO86AL2QH695PItuiCs%2Fqi7m2TDFyzyR1rOGzr1s8ZTLnvkSt7Jsxcw%2Fw8un4kSeNpjYGRgYGBkcFz6%2F1NPPL%2FNVwZ5lg1AEYbzPJx6MPq%2F1f85rHdZJYBcDgYmkCgAaDML2XjaY2BkYGCV%2BN8CJq3%2BXWa9ywAUQQHzAYk7Bkt42mPcwaDBsoGBAQmnwNhMPQwMrBIImnETELsxMDDchOLFQD4LkPaA0CA5qP4TjF9A7P%2BfIGb9%2Fww1kw%2BIxSFq%2Fu%2BAYBS7YVgWiLOgasURehikoDQjlGYBmjEHqocRwgezWdD0ofgLB4aZeQJJzBQh9n8rkFbErvf%2FbKh%2BmNgUKL8Ui3qY%2BR1Q9glUOxl1oHbuBLIFgDQzDgzzJwuSv0H4DBBnIPGVoOEA4%2BcD3XsYiudjCRdQ3DwC0m5A2gpICyHCh1EPzc9eQCyKpJcDKp4IxExAzAoVZ0XCDCxHIPYwgMH%2FGwwBDJYMJ4DpRx0oxoQCEeAmmGRBEhFnQAUpYBMFIKz%2Fc1AhSOf%2FT%2F8%2FAeUqAVIarnx42mNgYNCCwjSGJfggowGjB2MAYwvjKsZzjP%2BYzJhmMJ1hesesw%2BzD%2FIWliDWFjY9Nic2F7RG7D%2FsG9hccUzgNOBM4p3BxcblwdXC94w7jnsD9jMeOZwOvDG8Z7yo%2BK74Evi6%2BO%2Fw3BHwEOgSuCfIJqglOERIRShC6JSwm3CfCI5IksktUTXSSWJLYLXEf8TbxFxIWEk0S%2ByR1JGdI%2FpHykqqR2iZ1TeqJtIi0gbSfdJv0NukH0l9k%2BGSiZJbIvJM1kj0kJyDXJfdG3k1%2BgfwB%2BUcKbApaCm4KeQoTFD4pZikeUXJSOqFcp7xORURlksozVRHVDtU5qptU36lFqXWo7VN7oc6nnqV%2BTsNCI0Vjh6aZ5hWtPK032hnam7R%2F6bjozNDdp%2FtML01vkt4vfSsDCYNthmqGdYaXjDiMdhgnGE8wkTJZZMpimma6z0zMLMZsizmXeYL5GvM%2FFgEWWywlLCMsp1lesZKwirNqs7pmrWNdYn3PxsEmw%2BaOrYvtCjsBOw%2B7PXbv7A3sZzkwOSQ4bHFUcuxw%2FODU5PTDucP5m4uNS4LLPABRwojtAAABAAAA2wCbABEAAAAAAAIAAQACABYAAAEAAQEAAAAAeNqtUs1OwkAYnBY0Eo0aSTj34MGLDSAiwsl4EP%2BJRtGjVCiVQomtVBKfwmfw4sWDR59A38On8GCcXRYkyMEYaXZ39ut8s7NTAMzhBRrEL44FzhFo0RjXK%2B56WMMS7hTWMYsHhSPYw7PCUeTwqfAEbrWswpPIak8KTyGhvSscI%2F5QeBqL%2BrzCM8QZhePEZwq%2FIqH3Pbwhqd%2BHYWjabrdddyyv5ZuW18QmPLTRxTUc2KgjgIFHjjSSSGGFqMK3BnZwgRbXXfI7xILfgMnKBlw%2BxpCCL3dVrlWuHc6XZG7x5ucooYhtnnqIAxyTV6SWixqHQ32bPUfk27hhRZySYmdSeinghKeX2VcYq%2FVTaXlE67cOjJG%2BU3kPn%2B89mcGwp5LU6O2%2Bq3UyA1iS3xl0mFjjXECTqg1qCk6NVXFyhYmbWJUjx9zTWP%2FjLcd%2FqfHVUD4mu11%2B5TZ9O8q1z6pAzX%2FjlOmyQueiGgwy2VeZ9v2lmZHIM4e8zDLPLDKD%2F2PmC43JiIUAAHjabdVV15RlAEbh2YBggd3drXO%2F89bYCPPZ3d0CioAoKnZ3d3d3YXd3x4E%2Fwp%2Bg%2BM32zPfkXjNrZj%2FPwTVrOmM6o8%2FfCzpF5%2F%2BePzsdxjC2M7YzsTOJcSzCeCawKIuxOEuwJBOZxFIszTIs2%2FmL5VieFViRlViZVViV1VidNViTtVibdViX9VifDdiQjdiYTdiUzdicLdiSregSCnqUVNQ0tPTZmm3Ylu3Ynh3YkcnsxBSmMmCEndmFXdmN3dmDPdmLvdmHfdmP%2FTmAAzmIgzmEQzmMwzmCIzmKozmGYzmO4zmBEzmJaUxnBidzCjM5lVnMZg6nMZfTOYN5nMlZnM18zuFczuN8LuBCLuJiLuFSLuNyruBKruJqruFaruN6buBGbuJmbuFWbuN27uBO7uJu7uFe7uN%2BHuBBHuJhHuFRHuNxnuBJnuJpnuFZnuN5XuBFXuJlXuFVXmMBr%2FMGb%2FIWb%2FMO7%2FIe7%2FMBH%2FIRH%2FMJn%2FIZn%2FMFX%2FIVX%2FMN3%2FId3%2FMDP%2FITP%2FMLv%2FIbv%2FPH%2BGkz58%2BZngnzZs3odrtThzu5%2B%2B8WC99w4xZuzy3dyq3dxm3dvjt5uMXIcKuRcYN5c2ePvqhGpoxu7WGNX2q6ox8eeImBlxh4iYGHDzx84OEDDx94%2BKCbrmsndmInpWsv9mIv9mKvsFfYK%2BwV9gp7hb3CXmGvsFfY69nr2evZ69nr2evZ69nr2evZ69kr7ZX2SnulvdJeaa%2B0V9or7ZX2KnuVvcpeZa%2ByV9mr7FX2KnuVvdpebae2U9up7dR2aju1ndpOY6fxXo29xl5jr7HX2GvsNfYae6291l5rr7XX2mvttfZae6291l7fXt9e317fXt9e317fXn%2FYi%2B6j%2B%2Bg%2Bwx%2Ffwq3c2v3ve607vEf0H%2F1H%2F9F%2F9B%2F9R%2F%2FRf%2FQf%2FUf%2F0X%2F0H%2F1H%2F9F%2F9B%2F9R%2F%2FRf%2FQf%2FUf%2F0X%2F0H%2F1H%2F9F%2F9B%2F9R%2F%2FRf%2FQf%2FUf%2F0X%2F0H91H99F9dB%2FdR%2FfRfXQf3Uf30X10H92ntqf%2F6D%2F6j%2F6j%2F%2Bg%2F%2Bo%2F%2Bo%2F%2FoP%2FqP%2FqP%2F6D%2F6j%2F6j%2F%2Bg%2F%2Bo%2F%2Bo%2F%2FoP%2FqP%2FqP%2F6D%2F6j%2F6j%2F%2Bg%2F%2Bo%2F%2Bo%2F%2FoP%2F%2B579vpDzsL%2Fz3%2BAcxdM0C4Af%2BFsAGNAEuwCFBYsQEBjlmxRgYrWCGwEFlLsBRSWCGwgFkdsAYrXFhZsBQrAAAAAVLmWK4AAA%3D%3D%29%20format%28%27woff%27%29%2Curl%28data%3Aapplication%2Fx%2Dfont%2Dtruetype%3Bbase64%2CAAEAAAARAQAABAAQRkZUTWpVwvAAAAEcAAAAHEdERUYBCAAEAAABOAAAACBPUy8yZ6dLhAAAAVgAAABgY21hcErwCZoAAAG4AAACcmN2dCAAKAOHAAAELAAAAAhmcGdtU7QvpwAABDQAAAJlZ2FzcAAAABAAAAacAAAACGdseWYeHjMhAAAGpAAAiTxoZWFkAmJY%2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sCwzsATNsCQysB0vsDwzsBTNsDQyAbBAL7AA1rAQMrAJzbAYMrAJELEgASuwMDKwKc2wODKxQQErADAxNRE0NjMhMhYVERQGIyEiJhkBNDYzITIWFREUBiMhIiYBETQ2MyEyFhURFAYjISImGQE0NjMhMhYVERQGIyEiJh0VAZAVHR0V%2FnAVHR0VAZAVHR0V%2FnAVHQJYHRUBkBUdHRX%2BcBUdHRUBkBUdHRX%2BcBUdMgGQFR0dFf5wFR0dAm0BkBUdHRX%2BcBUdHf29AZAVHR0V%2FnAVHR0CbQGQFR0dFf5wFR0dAAAJAAAAAARMBEwADwAfAC8APwBPAF8AbwB%2FAI8AdgCyDQAAK7E8bDMzsATNsTRkMjKwHS%2BxTHwzM7AUzbFEdDIysC0vsVyMMzOwJM2xVIQyMgGwkC%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%2BwTDOwHM2wRDKwLS%2BwXDOwJM2wVDIBsGAvsADWsRAgMjKwCc2xFygyMrAJELEwASuxQFAyMrA5zbFIWDIysWEBKwAwMT0BNDY7ATIWHQEUBisBIiYRFBY7ATI2PQE0JisBIgYVPQE0NjsBMhYdARQGKwEiJgE1NDYzITIWHQEUBiMhIiYRNTQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJh0VyBUdHRXIFR0dFcgVHR0VyBUdHRXIFR0dFcgVHQGQHRUCvBUdHRX9RBUdHRUCvBUdHRX9RBUdHRUCvBUdHRX9RBUdMsgVHR0VyBUdHQGlFR0dFcgVHR0VyMgVHR0VyBUdHfz1yBUdHRXIFR0dAaXIFR0dFcgVHR0BpcgVHR0VyBUdHQAAAAEAHQAiBPIEKgAFAAATCQEnAScdAaMDMtT9oc4Bxv5cAzTU%2FaHPAAABAGoAagRGBEYACwAAEwkBNwkBFwkBBwkBagEa%2FubUARoBGtT%2B5gEa1P7m%2FuYBPgEaARrU%2FuYBGtT%2B5v7m1AEa%2FuYAAAMAF%2F%2FsBMQEmQATABsAJwC3ALIOAAArsBIvsBfNsBwvsCMzsB3NsCEyshwdCiuzQBwmCSuyHRwKK7NAHR8JK7AbL7ADzQGwKC%2BwAdawFc2wFRCxJgErsB4ysCXNsCAysiUmCiuzQCUjCSuyJiUKK7NAJhwJK7AlELEZASuwBc2xKQErsSYVERKyAhYbOTk5sCURsBI5sBkSswMXEBokFzmwBRGwBzkAsRcSERKwEDmxHQ4RErMABRUYJBc5sBsRshQZATk5OTAxEhAAIAAVFAcBFhQPAQYiJwEGIyICEBYgNhAmIAM1MzUzFTMVIxUjNRcBHAGQARxOASwHB20IFAj%2B1HeOyIPCARLBwf7uRmTIZGTIAe0BkAEc%2FuTIjnf%2B1AgUCG0HBwEsTgJs%2FvDCwQESwf5ZyGRkyGRkAAADABf%2F7ATEBJoAEwAbAB8AXQCyDgAAK7ASL7AXzbAbL7ADzQGwIC%2BwAdawFc2wFRCxGQErsAXNsSEBK7EZFREStQMCEBIcHSQXObAFEbAHOQCxEg4RErAJObAXEbAQObAbErUBAAcFHB4kFzkwMRIQACAAFRQHARYUDwEGIicBBiMiAhAWIDYQJiADITUhFwEcAZABHE4BLAcHbQgUCP7Ud47Ig8IBEsHB%2Fu5GAZD%2BcAHuAZABHP7kyI15%2FtUHFgdtCAgBLE4CbP7wwsIBEML%2BWcgAAAIAFwAXBJkEsAAbACsARQCwGC%2BwCs0BsCwvsADWsAfNsgcACiuzQAcDCSuwBxCxDAErsBPNsgwTCiuzQAwQCSuxLQErsQwHERKzFxgcIyQXOQAwMRM0EjcVDgEVFBYgNjU0Jic1FhIVFA4CIi4CARQWOwEyNjURNCYrASIGFRfSp2d8%2BgFi%2Bnxnp9Jbm9Xs1ZtbAd0dFWQVHR0VZBUdAli3ASg%2BpjfIeLH6%2BrF4yDemPv7Yt3bVm1tbm9UBDBUdHRUBkBUdHRUABABkAAEEsASxAAMABwALAA8AMACyBAAAK7EIDDMzAbAQL7AE1rAHzbAHELEIASuwC82wCxCxDAErsA%2FNsREBKwAwMTczESMBETMRMxEzETMRMxFkyMgBLMhkyGTIAQEs%2FtQB9P4MAyD84ASw%2B1AAAAIAGgAbBJYElgBHAFEAYgCwEi%2BwUM2wSy%2BwNs0BsFIvsADWsEjNsEgQsU0BK7AkzbFTASuxSAARErELPTk5sE0Rsw8VMzkkFzmwJBKxGS85OQCxUBIRErEHHTk5sEsRswMhJ0UkFzmwNhKxK0E5OTAxExQfAhYfAQcWFzcXFh8CFjMyPwI2PwEXNjcnNzY%2FAjY1NC8CJi8BNyYnBycmLwImIyIPAgYPAScGBxcHBg8CBgU0NjIWFRQGIiYaBpcCDhgDUC08hQUtMQUmKCIbLyYGLi8FhjgwUAMYDwGYBQWYARAXA1AsPIYFLTAGJigiGy8mBTIsBYU7LlADGQ0ClwYBZ36yfn6yfgJZISkmBjEsBYY7LlEDGg0ClwUFlwINGgNRLD2GBSwxBiYoIhwtJgYzKgWGOi9RAxkOAZgFBZgBDhkDUS86hgUvLgYmMBlYfn5YWX5%2BAAAABwBk%2F%2F8EsAUUABkAIwAnACsALwAzADcAiQCyIQAAK7AkzbIoMDQyMjKwJy%2ByKjI2MzMzsBvNsBcvsATNsQ4sMjKwLy%2BwCc0BsDgvsBrWsCTNsCQQsSUBK7AFMrAozbAsMrIlKAors0AlAAkrsCgQsSkBK7AwzbAwELExASuwLTKwNM2wDTKyNDEKK7NANBMJK7A0ELE1ASuwHc2xOQErADAxEzU0NjMhNTQ2MyEyFh0BITIWHQEUBiMhIiYTESERFAYjISImNzMRIxMzESMRITUhEzMRIxMzESNkDwoBEzspASwpOwETCg8OC%2FvmCw5kA4Q7Kf1EKTtkZGTIZGQBLP7UyGRkyGRkBAEyCg9kKTs7KWQPCjILDg78bgMg%2FOApPDwpArz9RAK8ASxk%2B7QCvP1EArwAAAAAAQABAAEFFQTdAAoALACyCQAAK7AEMwGwCy%2BwCdawCM2wCBCxBQErsATNsQwBK7EFCBESsAE5ADAxEwkBIxEhESERIREBApAChMj%2B1P7U%2FtQCWQKE%2FXz9qAGQ%2FnACWAAAAgBkAAAD6ASwAA4AEQAiALIMAAArAbASL7AB1rAGzbIGAQors0AGCAkrsRMBKwAwMTcRNDYzIREhERQGIyEiJgERAWQOCwHbAZAOC%2FyuCw4CWAEsGQR%2BCw7%2BDP1dCw4OAxIBLP7UAAADAAQABASsBKwACwATABkAggCwCi%2BwD82wFC%2BwF82yFxQKK7NAFxUJK7ATL7AEzQGwGi%2BwAdawDc2wDRCxFAErsBfNshcUCiuzQBcZCSuwFxCxEQErsAfNsRsBK7EUDRESswoDDhMkFzmxERcRErMJBA8SJBc5ALEUDxESswcADRAkFzmxExcRErMGAREMJBc5MDESEBIkIAQSEAIEICQSEBYgNhAmIBMRMxEzFQSgARIBRAESoKD%2B7v68%2Fu4W8wFW8%2FP%2BqkdkyAG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP9%2FgGQ%2FtRkAAAAAAL%2FnAAABRQEsAALAA8ALgCyAAAAK7AHM7AKL7AMzbAPL7ADzbIDDwors0ADAQkrsAUyAbAQL7ERASsAMDEjATMDMwMzASEDIwMTMwMjZAGv0RWiFNABr%2F3mKfIoMeAbqgSw%2FtQBLPtQAZD%2BcAH0ASwAAAAAAgAAAAAETASwAAsADwBKALILAAArsAzNsA8vsAnNsAEyAbAQL7AE1rAHzbIEBwors0AEAAkrsAcQsQ0BK7AKzbERASuxBwQRErECCTk5sA0RsQgMOTkAMDExESEBMxEhETMBIRElMzUjAer%2B3sgBLMj%2B3gHq%2FuGvrwGQASwB9P4M%2FtT%2BcMhkAAMAAQABBK8ErwAPABcAHgBjALINAAArsBPNsBcvsAXNAbAfL7AB1rARzbARELEZASuwHM2wHBCxFQErsAnNsSABK7EZEREStA0EEhcYJBc5sBwRsB45sBUStAwFExYdJBc5ALEXExEStQEICQAaHiQXOTAxEjQ%2BAjIeAhQOAiIuARIQFiA2ECYgAzMRMxEzAwFfoN703qBfX6De9N6gXPIBVPLy%2FqxQlsiW%2BgHe9N6gX1%2Bg3vTeoF9foAIC%2Fqzy8gFU8v5kASz%2B1P7UAAMABAAEBKwErAALABMAGgBhALAKL7APzbATL7AEzQGwGy%2BwAdawDc2wDRCxGQErsBjNsBgQsREBK7AHzbEcASuxGQ0RErQKAw4TFCQXObAYEbAVObARErQJBA8SFiQXOQCxEw8RErUBBgcAFRgkFzkwMRIQEiQgBBIQAgQgJBIQFiA2ECYgAxsBIxEjEQSgARIBRAESoKD%2B7v68%2Fu4W8wFW8%2FP%2Bqk%2F6%2BpbIAbYBRAESoKD%2B7v68%2Fu6goAJf%2Fqrz8wFW8%2F5iASz%2B1P7UASwAAAACAAAAAASwBLAACwATACkAsgkAACuwDM2wEDKwEy%2BwAs0BsBQvsRUBKwCxDAkRErIEAQ45OTkwMTUREyEbARQGIyEiJhMzFyE3MwMhyAMgxwEOC%2FuCCw7IyDIBLDLIYf2iGQHbArz9RP4lCw4OAebIyAH0AAMABAAEBKwErAALABUAGABGALAKL7APzbAUL7AEzQGwGS%2BwAdawDM2wDBCxEQErsAfNsRoBK7ERDBEStQQJCgMWGCQXOQCxFA8RErUBBgcAFhckFzkwMRIQEiQgBBIQAgQgJBMUFiA2NTQmIAYBEQUEoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqrzAToBKQG2AUQBEqCg%2Fu7%2BvP7uoKABtKzy8qyr8%2FP%2BigGRyAABABcAFwSZBLAAHABTALAFL7ANzbARL7AZzQGwHS%2BwAdawD82wDxCxCgErsAnNsR4BK7EKDxEStQUEExQXGSQXObAJEbEVFjk5ALERDREStAEACRQVJBc5sBkRsBc5MDESFB4CMj4CNSMUBiAmEDYzMhcHIREHJiMiDgEXW5vV7NWbW5b6%2Fp76%2BrGIbpIBkJGdxnbVmwLO7NWbW1ub1Xax%2BvoBYvpRkgGQkXpbmwAAAAIAFwAABJkEsAAQACEAegCyEQAAK7AfL7AWzbIWHwors0AWGgkrsA0vsAXNsg0FCiuzQA0ACSsBsCIvsADWsBDNsBAQsRkBK7AazbEjASuxEAARErEREjk5sBkRtwcFCwoTFB8hJBc5sBoSsQkIOTkAsRYfERKwITmwDRGxCRI5ObAFErAHOTAxEzQ%2BAjMyFzcRITcmIyIGFQMRIQcWMzI2NTMUDgIjIicXW5vVdsadkf5wk3CHsfpJAZCTcIex%2BpZbm9V2xp0CWHbVm1t6kf5wk1D6sf2oAZCTUPqxdtWbW3oAAAoAZAAABLAEsAADAAcACwAPABMAFwAbAB8AIwAnAFAAsAgvsBgzsAnNsBoysAwvsBwzsA3NsB0ysBAvsCAzsBHNsCEysBQvsCQzsBXNsCUyAbAoL7AI1rIMEBQyMjKwC82yDhIWMjIysSkBKwAwMTMhESETESERJTUzFSc1MxUnNTMVJzUzFRMhNSE9ASEVJTUhFSU1IRVkBEz7tGQDhPzgZGRkZGRkZGQB9P4MAfT%2BDAH0%2FgwB9ASw%2B7QDhPx8ZGRkyGRkyGRkyGRk%2FahkZGRkyGRkyGRkAAIAAAAABEwEsAAZACMASgCyFwAAK7AgL7AJzQGwJC%2BwBdawGs2yBRoKK7NABQAJK7AaELEbASuwDs2yDhsKK7NADhMJK7ElASsAsSAXERKzBA4FGiQXOTAxNRE0NjsBNTQ2MyEyFh0BMzIWFREUBiMhIiYBITU0JisBIgYVOylkdlIBLFJ2ZCk7Oyn8fCk7AZABLB0VyBUdZAJYKTvIUnZ2Usg7Kf2oKTs7AuWWFR0dFQAAAAIAZAAABEwETAADABUAFwCyAAAAKwGwFi%2BwANawA82xFwErADAxMxEzERM%2BAR4CPgE3EQ4BLgMGB2RkZDyHeHxyamQpKHuEkId0WhQETPu0AZA8MA0hGwVPUQH0UUUKKCgKRVEAAAAAAwAAAAAEsASXACEAMQBBAGcAsi8AACuwPjOwJs2wNjKwDC%2BwHc0BsEIvsADWsAfNsAcQsSIBK7ArzbArELEyASuwO82wOxCxEAErsBfNsUMBK7EyKxESswwLHRwkFzkAsSYvERK0BxATFAMkFzmwDBGxCA85OTAxERQWOwEyNjURND4BIB4BFREUFjsBMjY1ETQuAiIOAhUTETQ2OwEyFhURFAYrASImJRE0NjsBMhYVERQGKwEiJg4LMgsOjeQBBuSNDgsyCw5jo97o3qNjyAwIoAgMDAigCAwCWAwIoAgMDAigCAwBEwsODgsBLH%2FRcnLRf%2F7UCw4OCwEsdN6jY2Oj3nT91QHMCAwMCP40CAwMCAHMCAwMCP40CAwMAAAAAgAAAMgEWAPoAAUAEQAAESEFEQUhATcnNxc3FwcXBycHASwBLP7U%2FtQCsI2NR42NR42NR42NAZDIAyDI%2FquNjUeNjUeNjUeNjQAAAAIAAADIA3AD6AAFAA8AEgABsBAvsA7WsAnNsREBKwAwMREhBREFISU3FhUUByc2NTQBLAEs%2FtT%2B1AK8RW9qQ1YBkMgDIMg5NYevqYU2boqSAAAAAAMAAAC6BGID9wAFAA8AHQA8ALAAL7ABzQGwHi%2BwDtawCc2wCRCxEwErsBrNsR8BK7ETCRESsxAWFx0kFzkAsQEAERKzCQ4TGiQXOTAxGQEhJRElATcWFRQHJzY1NDcXFhUUDwEXNzY1NC8BASwBLP7UAZJFb2pDVl4He3cHUQaOkAYBkQGQyPzgyAHJNYevqoU3boqRzQiXwb2WCEIIsuPmsggADQAAAAAEsASwAAcAEQAVABkAHQAhAC8AMwA%2FAEMARwBLAE8BAQCyAAAAK7EwRDMzsBLNsikxRTIyMrAaL7InK0wzMzOwG82yJS1NMjIysCIvsQIGMzOwI82wCDKwHi%2BxDkgzM7AhzbE0STIyAbBQL7Aa1rEFHjIysB3NsQMfMjKwHRCxMAErsQ0sMjKwM82wNTKwMxCxLgsrsCoysCXNsEAysi4lCiuzQC4iCSuyAQsPMjIysCUQsTcBK7FESDIysDvNsSZKMjKwOxCxTAErsEIysE%2FNsjk9RjIyMrFRASuxMB0RErUUFRgZND8kFzmxNyURErIoKTg5OTkAsSIbERKzExQ4OSQXObAjEbIEOjs5OTmwHhJACQUWGTY3PD1AQyQXOTAxMSERIzUjFSM1MzUhNTM1IxEhExEhEQERIREDNTMVAzM1IwE1IREzFSMVIzUjNTM1AzUzFQMzETMRITUjNTMRIRMRIREDNSEVATUzFRM1MxUB9MhkyGQBkGRk%2FgxkASz%2B1AEsyGRkZGQBLAEsyGTIZGRkZGRkyAEsyMj9qMgBLMgBLP7UZGRkAfRkZGRkZGQBLPu0ASz%2B1AK8ASz%2B1P2oZGQCvGT%2BDGT%2B1GRkZGTI%2FgxkZAPo%2FtT%2B1MhkAfT%2BcAEs%2FtT84GRkA4RkZP1EZGQAAAAACQAAAAAEsASwAAMABwALAA8AEwAXABsAHwAjAHAAsgwAACuyBBQcMzMzsA3NsRUdMjKyDAAAK7AFzQGwJC%2BwCNawC82wCxCxEAErsAwysBPNsA%2FNsBMQsRQLK7AXzbAXELEYCyuwG82wGxCxIAErsCPNsSUBK7EQCxESsQcGOTmxGxcRErEcHTk5ADAxNTMRIxM1IRUnETMRFzUzFScRMxEVNTMVNREzERU1MxUnETMRZGRkASzIZMhkZMhkZMhkyMgD6PtQZGTIA%2Bj8GMhbW8gD6PwYyFtbyAPo%2FBjIW1vIA%2Bj8GAAAAAIAAAAABLAEsAAHABMAKQCyBwAAK7ASL7AEzQGwFC%2BwAdawCc2xFQErALESBxESsgAGCzk5OTAxERM0NjMhCQEAFBcWMjc2NCcmIgcBDwoB2gK8%2Fgz92B0eUx4dHR5THgK8AdsKD%2F1E%2FgwD41QdHh4dVB0eHgAAAAMAAQAABd0EsAAHABMAGQAxALIHAAArsBczsBIvsATNsBQyAbAaL7AB1rAJzbEbASsAsRIHERK0AAYLFhkkFzkwMRsBNDYzIQkBABQXFjI3NjQnJiIHJTMJAScBAQEOCwHaArz%2BDP3XHh1UHR4eHVQdAgtkArz%2BDDIBwgK8AdsLDv1E%2FgwD41QdHh4dVB0eHrD9RP4MMgHCAAAAAAEAZAAABLAEsAAKAD8AsgAAACuwBy%2BwAs0BsAsvsADWsArNsAoQsQUBK7AEzbEMASuxCgARErICBwg5OTkAsQcAERKyAQQFOTk5MDEzETchEQcRIQchEWSvA51k%2FRJkAu4EAa%2F8GGQD6GT8GAAAAAABAMgAAARMBLEACgAAMwkBETQmIyEiBhXIAcIBwh0V%2FOAVHQG8%2FkUEfhQeHhQAAAADAAAAAASwBLAACwAXACcAWQCyJQAAK7AczbAKL7ADzbIKAwors0AKAAkrsAcysgMKCiuzQAMBCSuwBTIBsCgvsADWsAvNsAIysAsQsQgBK7AFMrAHzbEpASuxCAsRErMMDyciJBc5ADAxNREzFyE3MxEjNSEVExchNwMuASMhIgYHAzc%2BATMhMhYfARYGIyEiJshkAlhkyMj84DUoAlA%2BXgIQCv4%2BChACQiYCEwoB9AoTAiYCCwr9qAoLZAK8yMj9RMjIAtl8fAFaCw4OC%2FuBmAoODgqYCg4OAAAABAAAAGQEsARMAB0AJQAtADEAbwCwAy%2BwJc2wKS%2BwLc2wIS%2BwE80BsDIvsADWsB%2FNsh8ACiuzQB8vCSuwHxCxJwErsCvNsTMBK7EfABESsBk5sSsnERKzISQlICQXOQCxLSkRErMfIiMeJBc5sCERsS4xOTmwExK0CxkaLzAkFzkwMTUUFjMhMjY1ETQmKwEuBCsBIg4CDwEjIgYVADQ2MhYUBiICFBYyNjQmIiU1MxU7KQPoKTs7KZYEDzM3UyrIKVI6LgsMlik7AWSQyJCQyAY%2BWD4%2BWAFYZMgpOzspAlgpOwgbRTUrKTs7FRQ7Kf5wyJCQyJABIFg%2BPlg%2BXmRkAAIANQAABLAErwAeACIAHgCyAAAAK7ANM7AezbICDA8yMjIBsCMvsSQBKwAwMTMhNSIuAT8BIRcWBiMVITUmJy4BLwEBIwEGBw4BDwEBExcTNQFtKT4kE1wBh1IQKzUBoSIoEh4GBv5%2FXf5xGBwMKg8PAWuyLnRCFjYs6t4tV0JCASoTLg4NA%2Bb8EjAbDBoHBwHHAcmM%2FsMAAwBkAAADwwSwACAAKQAxAGUAsiAAACuwIc2yIAAAK7ABzbApL7AqzbAxL7ANzbANELALzQGwMi%2BwBNawIc2wKjKwIRCxLgErsBDNsCUg1hGwHM2xMwErsSUuERKwFjkAsSkhERKwHDmwKhGwFjmwMRKwEDkwMTM1PgE1ETQuAyc1BTIWFRQOAg8BHgQVFA4BIyczMjY1NCYrATUzMjY1NCYjZCk7AgkWJB8B13i6FyEiCwwIG0U0K3amT8ihWYB9Xp%2BLTGyom1kHMygDOxwXHQ0PB0cBsIw3XTcoCAcDDDNBdkZUkU3IYVRagWR7TVJhAAAAAAEAyAAAA28EsAAZACAAsgAAACuwAc2wGDKwCy%2BwDjOwDM0BsBovsRsBKwAwMTM1PgE3EzYmJy4BJzUhFw4DDwEDBhYXFchNcwitCihHBgkFAakCIToiGQUFgAowRzkHQy8DUTgkEwEDATk5CCMnJQwM%2FMc0PAY5AAL%2FtQAABRQEsAAJACUAfgCyGwAAK7AfL7ICBRYzMzOwDM2yHwwKK7NAHxAJK7AKMgGwJi%2BwAdawB82wBxCxCgErsCXNsCUQsR0BK7AYzbIYHQors0AYGgkrsh0YCiuzQB0bCSuwGBCxEAErsA%2FNsScBK7EKBxESsQUIOTkAsR8bERKwCTmwDBGwBDkwMSczESM3FyMRMwcTETMhMxEjNC4DKwERFxUhNTcRIyIOAxVLS0t9fUtLffqWAryWMhAVLiEiyGT%2BcGTIIiEvFBHIAyCnp%2FzgpwNjASz%2B1B0nFQkC%2FK4yZGQyA1ICCRUnHQAAAAIAIf%2B2BI8EsQAJACUAiQCyCAAAK7ACzbAfL7AWM7AMzbIfDAors0AfCgkrsA8yAbAmL7AK1rAlzbAlELEdASuwGM2yGB0KK7NAGBoJK7IdGAors0AdGwkrsBgQsRABK7APzbEnASuxHSURErMCCAkBJBc5sRAYERKzBAYHAyQXOQCxAggRErEABTk5sB8RsgEEGjk5OTAxPwEVITUXBzUhFQMRMyEzESM0LgMrAREXFSE1NxEjIg4DFSGnAyCnp%2FzgZJYCvJYyEBQvISLIZP5wZMgiIS4VEDN9S0t9fUtLA88BLP7UHScVCQL9djJkZDICigIJFScdAAAAAAQAAAAABLAETAAPAB8ALwA%2FAAA1FBYzITI2PQE0JiMhIgYVNRQWMyEyNj0BNCYjISIGFTUUFjMhMjY9ATQmIyEiBhU1FBYzITI2PQE0JiMhIgYVHRUETBUdHRX7tBUdHRUDIBUdHRX84BUdHRUD6BUdHRX8GBUdHRUCWBUdHRX9qBUdMhQeHhRkFR0dFcgUHh4UZBUdHRXIFB4eFGQVHR0VyBQeHhRkFR0dFQAEAAAAAASwBEwADwAfAC8APwAANRQWMyEyNj0BNCYjISIGFREUFjMhMjY9ATQmIyEiBhUTFBYzITI2PQE0JiMhIgYVERQWMyEyNj0BNCYjISIGFR0VBEwVHR0V%2B7QVHR0VBEwVHR0V%2B7QVHcgdFQK8FR0dFf1EFR0dFQK8FR0dFf1EFR0yFB4eFGQVHR0VAfQUHh4UZBUdHRX%2BcBQeHhRkFR0dFQH0FB4eFGQVHR0VAAQAAAAABLAETAAPAB8ALwA%2FACYAsg0AACuwBM2wLS%2BwJM2wHS%2BwFM2wPS%2BwNM0BsEAvsUEBKwAwMT0BNDYzITIWHQEUBiMhIiYTNTQ2MyEyFh0BFAYjISImEzU0NjMhMhYdARQGIyEiJhM1NDYzITIWHQEUBiMhIiYdFQRMFR0dFfu0FR1kHRUD6BUdHRX8GBUdyB0VAyAVHR0V%2FOAVHcgdFQJYFR0dFf2oFR0yZBUdHRVkFB4eAmxkFR0dFWQUHh7%2B6GQVHR0VZBQeHgJsZBUdHRVkFB4eAAQAAAAABLAETAAPAB8ALwA%2FACYAsg0AACuwBM2wHS%2BwFM2wLS%2BwJM2wPS%2BwNM0BsEAvsUEBKwAwMT0BNDYzITIWHQEUBiMhIiYRNTQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJhE1NDYzITIWHQEUBiMhIiYdFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0yZBUdHRVkFB4eAUBkFR0dFWQUHh4BQGQVHR0VZBQeHgFAZBUdHRVkFB4eAAAAAAgAAAAABLAETAAPAB8ALwA%2FAE8AXwBvAH8AUgCyDQAAK7BMM7AEzbBEMrAdL7BcM7AUzbBUMrAtL7BsM7AkzbBkMrA9L7B8M7A0zbB0MgGwgC%2BwANayECAwMjIysAnNshgoODIyMrGBASsAMDE9ATQ2OwEyFh0BFAYrASImETU0NjsBMhYdARQGKwEiJhE1NDY7ATIWHQEUBisBIiYRNTQ2OwEyFh0BFAYrASImATU0NjMhMhYdARQGIyEiJhE1NDYzITIWHQEUBiMhIiYRNTQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJh0VZBUdHRVkFR0dFWQVHR0VZBUdHRVkFR0dFWQVHR0VZBUdHRVkFR0BLB0VAyAVHR0V%2FOAVHR0VAyAVHR0V%2FOAVHR0VAyAVHR0V%2FOAVHR0VAyAVHR0V%2FOAVHTJkFR0dFWQUHh4BQGQVHR0VZBQeHgFAZBUdHRVkFB4eAUBkFR0dFWQUHh78kGQVHR0VZBQeHgFAZBUdHRVkFB4eAUBkFR0dFWQUHh4BQGQVHR0VZBQeHgAABv%2BbAAAEsARMAAYACgAaACoAOgBKACAAsAAvsCYzsAHNsC4yAbBLL7FMASsAsQEAERKwBDkwMQM1MzUXBzUTMxEjExQWMyEyNj0BNCYjISIGFTUUFjMhMjY9ATQmIyEiBhU1FBYzITI2PQE0JiMhIgYVNRQWOwEyNj0BNCYrASIGFWXJpqbIZGTIHRUCWBQeHhT9qBUdHRUBLBQeHhT%2B1BUdHRUB9BQeHhT%2BDBUdHRVkFB4eFGQVHQH0ZEt9fUv%2BDARM%2B%2BYUHh4UZBUdHRXIFB4eFGQVHR0VyBQeHhRkFR0dFcgUHh4UZBUdHRUAAAAABgABAAAFFQRMAA8AHwAvAD8AQwBKABcAskAAACsBsEsvsEDWsEPNsUwBKwAwMTcUFjMhMjY9ATQmIyEiBhU1FBYzITI2PQE0JiMhIgYVNRQWMyEyNj0BNCYjISIGFTUUFjsBMjY9ATQmKwEiBhUBETMRExc1MzUjNQEdFQJYFB4eFP2oFR0dFQEsFB4eFP7UFR0dFQH0FB4eFP4MFR0dFWQUHh4UZBUdAyBkIafIyDIUHh4UZBUdHRXIFB4eFGQVHR0VyBQeHhRkFR0dFcgUHh4UZBUdHRX75gRM%2B7QCJn1LZEsAAgAAAMgEsAPoAA8AEgAtALANL7AEzbAEzQGwEy%2BwANawCc2xFAErsQkAERKwEDkAsQQNERKxERI5OTAxGQE0NjMhMhYVERQGIyEiJgkBESwfAu4fLCwf%2FRIfLAOEASwBEwKKHywsH%2F12HywsAWQBLP2oAAADAAAAAASwBEwADwAXAB8AWQCyDQAAK7AfL7AbzbAXL7AEzQGwIC%2BwANawEM2wEBCxGQErsB3NsB0QsRUBK7AJzbEhASuxHRkRErARObAVEbETEjk5ALEfDRESshATFTk5ObAbEbAUOTAxNRE0NjMhMhYVERQGIyEiJj8BBScBExEhEjQ2MhYUBiIaEgRYExkZE%2FuoEhpk9wEqSgEl7PwYbE5wTk5wLAP0EhoaEvwMEhoa7baDnAE%2B%2FuAB9P7OcE5OcE4AAgCU%2F%2FMEHAS9ABQAHgA9ALINAAArsB0vsATNAbAfL7AA1rAVzbAVELEbASuwCM2xIAErsRsVERKxDQQ5OQCxHQ0RErIHABg5OTkwMRM0PgEzMh4BFAcOAQ8BLgQnJjcUFjMyNjQmIgaUedF6e9B5SUm7OTkKImNdcys%2Fwpdqa5eX1pYC6XzXgX7V9pVy9kJCCSJrb6BLi5Zrl5fWlpcAAAIAAQABBK8ErwAPABUASQCyDQAAK7ATzbAUL7AFzQGwFi%2BwAdawEc2wERCxEwErsAnNsRcBK7ETERESsQ0EOTmwCRGxBQw5OQCxFBMRErMBCAkAJBc5MDESND4CMh4CFA4CIi4BEhAWMxEiAV%2Bg3vTeoF9foN703qBN%2B7CwAd703qBfX6De9N6gX1%2BgAgn%2BnvoDVgACAHUABAPfBQ8AFgAlAAATND4DNx4GFRQOAgcuAjceARc3LgInJjY%2FAQ4BdURtc3MeFUlPV00%2FJU5%2Bmk9yw4B%2BDltbEAcWLgoPAgkJXDcBll64oZ3FYEePdndzdYZFWZlkOwQGXrh%2BUmwaYgYWSihJjTQzbpYAAAADAAAAAATFBGgAHAAhACYAVwCyGgAAK7APzbAIL7AEzQGwJy%2BwANawDM2wDBCxEwErsBbNsSgBK7ETDBESswYdHiAkFzmwFhGxHyI5OQCxCA8RErMVHR8hJBc5sAQRsyAiIyUkFzkwMRkBNDYzBBcHISIGFREUFjMhMjY9ATcVFAYjISImJTcBJwkBFzcvAeulAW4fuv7JKTs7KQH0KTvI66X%2B1KXrAbShAZxy%2FmsB%2BXFxFVwBkAEspesGCLo7Kf4MKTs7KX3I4aXr62oyAZxx%2FmsB%2BHFxVRwAAAAAAgAAAAAElQRMABwALgBIALIaAAArsBDNsCIvsCfNsAkvsATNsAQQsAbNAbAvL7AA1rANzbEwASsAsSIQERKyFR0kOTk5sQkaERKwJTmxBAYRErAmOTAxGQE0NjMhFwYHIyIGFREUFjMhMjY1NxUUBiMhIiYBPgMfARUJARUiDgXrpQEFAoVVkSk7OykB9Ck7yOul%2FtSl6wGnHmdnXx4dAWj%2BmQcYSENWQzkBkAEspetQIFg7Kf4MKTs7KZk1pevrASEmNBMJAQHRAUQBPtgCDhczQ20AAAAAAgAAAAAEqARMAB0AIwBSALIbAAArsBDNsAkvsATNAbAkL7AA1rANzbANELEUASuwF82xJQErsRQNERKzBx4fIiQXObAXEbAhOQCxCRARErMWHyIjJBc5sAQRsSAhOTkwMRkBNDYzITIXByEiBhURFBYzITI2PQE3FRQGIyEiJgkCJwEn66UBLD1Csv6jKTs7KQH0KTvI66X%2B1KXrAVYBGwI3if5SkgGQASyl6xexOyn%2BDCk7OylFyKml6%2BsBjf7kAjeJ%2FlGTAAABAAAAAQSwBLEAFwBFALISAAArsBYvsA4zsALNsAkyAbAYL7AU1rADMrAQzbAIMrEZASuxEBQRErEGEjk5ALEWEhESsQ0XOTmwAhGxAAw5OTAxEQEVMzUjCQEjFTM1CQE1IxUzCQEzNSMVASzIyAEsASfDyAEs%2FtTIw%2F7Z%2FtTIyAJbASjGyAEs%2FtTIxv7Y%2FtTGyP7UASzIxgAAAAABAMgAAAOEBEwAEwAdALIRAAArsAszAbAUL7AA1rANzbAIMrEVASsAMDE3ETQ2OwEyFhURAREBERQGKwEiJsgdFWQVHQH0%2FgwdFWQVHTID6BUdHRX%2BSwHn%2B7QB6P5KFR0dAAAAAQAAAAAEsARMABcAHwCyFQAAK7ENDzMzAbAYL7AA1rARzbAIMrEZASsAMDE1ETQ2OwEyFhURAREBEQERAREUBisBIiYdFWQVHQH0AfT%2BDP4MHRVkFR0yA%2BgVHR0V%2FksB5%2F4ZAef7tAHo%2FhgB6P5KFR0dAAABAIgAAASwBEwABgAUALIGAAArsAQzAbAHL7EIASsAMDETAREBEQERiAI0AfT%2BDAImAib%2BGQHn%2B7QB6P4YAAAAAQDIAAAETARMAAIAADMJAcgDhPx8AiYCJgAAAAIAyABkA4QD6AAPAB8AADcUFjsBMjY1ETQmKwEiBhUBFBY7ATI2NRE0JisBIgYVyB0VyBUdHRXIFR0BkB0VyBUdHRXIFR2WFR0dFQMgFR0dFfzgFR0dFQMgFR0dFQAAAAEAyABkBEwD6AAPAAA3FBYzITI2NRE0JiMhIgYVyB0VAyAVHR0V%2FOAVHZYUHh4UAyAVHR0VAAAAAQAAAAAEKARMAAYAFACyAAAAK7AFMwGwBy%2BxCAErADAxMREBEQkBEQH0AjT9zARM%2FhkB5%2F3a%2FdoB6AAAAQAAAAAEsARMABcAHwCyAAAAK7EQFjMzAbAYL7AU1rAEMrANzbEZASsAMDExEQERARE0NjsBMhYVERQGKwEiJjURAREB9AH0HRVkFR0dFWQVHf4MBEz%2BGQHn%2FhkBtRUdHRX8GBUdHRUBtv4YAegAAAEBLAAAA%2BgETAATAB0AsgAAACuwDjMBsBQvsBLWsAIysAvNsRUBKwAwMSERARE0NjsBMhYVERQGKwEiJjURASwB9B0VZBUdHRVkFR0ETP4ZAbUVHR0V%2FBgVHR0VAbYAAAIAZADIBLAEKAAPABIAEgCwDS%2BwBM0BsBMvsRQBKwAwMTc1NDYzITIWHQEUBiMhIiYRIQFkHRUD6BUdHRX8GBUdBEz92vpkFR0dFWQVHR0BDwI0AAEAuQAHA%2FkEqQAFAAATATcJASe5AlDw%2Fp8BYfACV%2F2w8AFhAWHwAAABARD%2F0gRSBHQACAAAJQkBNwEXBxUBARABYf6f8QI8FQH9sMIBYQFh8P3FFgEB%2FbEAAAAAAgADAAMErQStAAsAFwBCALAKL7AOzbAVL7AEzQGwGC%2BwAdawDM2wDBCxEQErsAfNsRkBK7ERDBESswQJCgMkFzkAsRUOERKzAQYHACQXOTAxEhASJCAEEhACBCAkEzMVMzUzNSM1IxUjA6ABEwFEAROgoP7t%2Frz%2B7YnIyMjIyMgBtgFEAROgoP7t%2Frz%2B7aCgAVHIyMjIyAACAAMAAwStBK0ACwAPAEkAsAovsAzNsA8vsATNAbAQL7AB1rAMzbAMELENASuwB82xEQErsQ0MERKzBAkKAyQXOQCxDAoRErEHADk5sQQPERKxAQY5OTAxEhASJCAEEhACBCAkEyE1IQOgARMBRAEToKD%2B7f68%2Fu2JAlj9qAG2AUQBE6Cg%2Fu3%2BvP7toKABUcgAAAAAAgADAAMErQStAAsAFwAyALAKL7AEzbAEzQGwGC%2BwAdawB82wB82xGQErsQcBERKxDBA5OQCxBAoRErENFTk5MDESEBIkIAQSEAIEICQTFzcXNyc3JwcnBxcDoAETAUQBE6Cg%2Fu3%2BvP7tU9WNjdWOjtWNjdSNAbYBRAEToKD%2B7f68%2Fu2goAEo1Y6O1Y2N1I2O1Y0AAAIAAwADBK0ErQALABEAMgCwCi%2BwBM2wBM0BsBIvsAHWsAfNsAfNsRMBK7EHARESsQwOOTkAsQQKERKxDQ85OTAxEhASJCAEEhACBCAkEwkBJwcnA6ABEwFEAROgoP7t%2Frz%2B7WsBFAGbr%2BxmAbYBRAEToKD%2B7f68%2Fu2goAGE%2FusBm67sZgAAAAADAAMAAwStBK0ACwA4ADwAbACwCi%2BwOc2wPC%2BwJ82wIS%2BwG82wNC%2BwBM0BsD0vsBLWsB7NsB4QsS4BK7AHzbE%2BASuxHhIRErEhNDk5sC4RtAkEKDo7JBc5ALEnPBESsQcAOTmwIRGwKjmwGxKyDA8uOTk5sDQRsQYBOTkwMRIQEiQgBBIQAgQgJBMzMhYyNjQ%2BBToBMzIWFRQGBw4EFzM%2BBDU0LgMjIg4CEzM1IwOgARMBRAEToKD%2B7f68%2Fu3JjwQPBwYCBQIJBA4EEwMTFggXBQ8nHRgByAUSLSIcIzFEMRsyUUUmiMjIAbYBRAEToKD%2B7f68%2Fu2goAIZAgYMCgcFAwIBFBAWDBABBBcfPSYDCikyWDIzTCgYBhg1YP4uZAADAAMAAwStBK0ACwAVABkAOwCwCi%2BwDM2wFS%2BwDjOwEs2wES%2BwFs2wGS%2BwBM0BsBovsRsBKwCxEhURErEHADk5sRYRERKxBgE5OTAxEhASJCAEEhACBCAkNyE1IxEhFTMVIxMzNSMDoAETAUQBE6Cg%2Fu3%2BvP7t7QGQZP7UZGRkyMgBtgFEAROgoP7t%2Frz%2B7aCgiWQBLGTIAZBkAAACAAAAAASwBLAAGAAvAGkAshQAACuwEi%2BwH82wHDKwAC%2ByDhkhMzMzsAHNsgwjLTIyMgGwMC%2BwFNayBRwpMjIysBPNsgceJzIyMrExASuxExQRErMiIy4vJBc5ALESFBESsBU5sQAfERKwHTmwARGyHigpOTk5MDERNTM%2BATc1MxUeAhczFSMOAQcVIzUuASczHgEXNTMVNjcjNTMuAScVIzUOAQczFcMfh4vINnZrEsvLGbdZyIyIHmAYb0vIlTTJyBllSshLbhjRAfTIfZUayMgUUINFyGaoIcXFG5d9SW0Yzs4wnshKahjMyxdsSMgAAAAAAwAEAAQErASsAAsAEwAfAEYAsAovsA%2FNsBMvsATNAbAgL7AB1rANzbANELERASuwB82xIQErsRENERK1BAkKAxQaJBc5ALETDxEStQEGBwAXHSQXOTAxEhASJCAEEhACBCAkEhAWIDYQJiADNyc3FzcXBxcHJwcEoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqpJh4dth4dth4dth4cBtgFEARKgoP7u%2Frz%2B7qCgAl%2F%2BqvPzAVbz%2FduHh22Hh22Hh22HhwAAAAMABAAEBKwErAALABMAGQBGALAKL7APzbATL7AEzQGwGi%2BwAdawDc2wDRCxEQErsAfNsRsBK7ERDREStQQJCgMUGCQXOQCxEw8RErUBBgcAFxkkFzkwMRIQEiQgBBIQAgQgJBIQFiA2ECYgAzcXNxcBBKABEgFEARKgoP7u%2Frz%2B7hbzAVbz8%2F6qa41XzI7%2BpgG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP%2BI41XzY7%2BpwAAAAMABAAEBKwErAALABMAGwBGALAKL7AWzbARL7AEzQGwHC%2BwAdawDM2wDBCxGQErsAfNsR0BK7EZDBEStQQJCgMPFCQXOQCxERYRErUBBgcADhskFzkwMRIQEiQgBBIQAgQgJBMUFwEmIyIGExYzMjY1NCcEoAESAUQBEqCg%2Fu7%2BvP7uFj4COGR0q%2FPNYXCr8zsBtgFEARKgoP7u%2Frz%2B7qCgAbRzZAI3PvP98jvzq3BhAAAAAAEAAABjBLAD6AAGABoAsAUvsALNAbAHL7EIASsAsQIFERKwADkwMREBESERIRECWAJY%2FagCIwHF%2FtT%2B1P7TAAABAAAAYwSwA%2BgABgAaALAAL7ABzQGwBy%2BxCAErALEBABESsAQ5MDEZASERCQERAlgCWP2oAZABLAEs%2Fjv%2BQAEtAAAAAAEAzAAABEoEsAAGAB8AsgUAACsBsAcvsAXWsATNsQgBK7EEBRESsAE5ADAxEwkBIREhEcwBwgG8%2Ftb%2B1AJYAlj9qP2oAlgAAAEAaAAAA%2BYEsAAGAB8AsgYAACsBsAcvsAHWsATNsQgBK7EEARESsAY5ADAxEyERIREhAWgBKAEsASr%2BPwJYAlj9qP2oAAAAAAEAAADHBLAETAANAAA1PgM3EQkBEQ4DBkaJ55wCWP2oX7CkgsiE1a1nCAEP%2Fjv%2BQAEtAiREdQAAAgAAAAAEsASwAAYADQARALIAAAArAbAOL7EPASsAMDExERcBFwEXExcBFxEhF4EBJo7%2B2oHrjgEmgf5wgQGQgQEmjv7agQMJjgEmgQGQgQACACIAIwSOBI4ABgANAAA3ASchEScJAREXARcBFyIBJ4EBkIH%2B2QGogQEnjv7ZgbABJ4H%2BcIL%2B2QI1AZCBASeN%2FtmCAAMAFwAXBJkEmQAPAB8AIwBPALANL7AgzbAjL7AUzbAdL7AFzQGwJC%2BwAdawEM2wEBCxGQErsAnNsSUBK7EZEBEStQUMDQQhIyQXOQCxFCMRErEJADk5sB0RsQgBOTkwMRI0PgIyHgIUDgIiLgEBEx4BOwEyNjcTNiYrASIGEzM1Ixdbm9Xs1ZtbW5vV7NWbAVY6BCMUNhQjBDoEGBTPFRgwyMgB4uzVm1tbm9Xs1ZtbW5sCRv7SFB0dFAEuFB0d%2FcVkAAAFAAAAAASwBLAAJgAqADAANAA7ADQAsicAACuwMTOwKs2wMjIBsDwvsDHWsAUysDTNsAcysT0BK7E0MREStAsMEzU6JBc5ADAxETMVIREzESE1MzUjNjQmLwEuASMiDwEGByYvASYjIgYPAQ4BFBUjEyERIRMiNj8BFxMRIREBNx4DI2QBkMgBkGRvAQMCIgs9JyAd7xYSExXuIR0nPQojAgJvZAGQ%2FnBkAyITEtXbAZD%2Bj8oFDiASAgMgyAEs%2FtTIZAELEwisJzARkA0WGAyQEi4msQgUCgH8fAGQAfRgMC%2B%2F%2FHwBkP5wA4TFDClXOQACAAD%2F6gSvBLAAGwAyABcAsgAAACsBsDMvsCfWsA%2FNsTQBKwAwMRU1Ny4CPgE3PgU3FAIOBC4CIwc2Fjc2JT4DNz4BJyYiBgcOAQ8BBAfYCQgDFTguL2llmonoaCxKaHGDeHtcUw9jEidDNwE4RmFrWykWBAgHFCERI509Pf6PWRaPwTU8gGKCOzxVMy0eOR69%2FszQm1UzCQYTDzd%2FDVNCqCY%2FX4BUMhQJBR0ZM3MgIMXMAAABAG8ADAREBOcASAAjAAGwSS%2BwAdawRc2wRRCxPAErsUoBK7E8RRESsTo2OTkAMDESFBceARcWPgM3PgEnHgEHDgEHDgQeAT4BNz4ENzYCJxYXFicmJy4CNw4EFx4DDgQHBi4CNw4BbwUJRkYfQjo4KA8gDhRPVhEFHxYKCQ8DAwgOGSQYOURrQ0APJqWkFhUnRw8ST1MFMw0qZ0ouDwIMBAgBAQsQGhImOhcHDjQ%2FAblCHjh%2FLRUKJT49HkLtJ1CoZCFJLBMUIA8XCAsBBAYUHD1DbkOsAVNtLFWfBQIHIYbZlQgfZm2nUww7GzQbKBcZEAQKLk1WIC5uAAAD%2F8MAfQTtBDMAIQA%2FAEcAQwCwGi%2BwKc2wOi%2BwCc0BsEgvsDzWsDfNsUkBK7E3PBESQAoJGRoIKSg1PkBDJBc5ALEJOhEStwARJC41PkJHJBc5MDEDNz4GMh4FHwEHDgYiLgUnNx4FMj4ENy4EJxYVFAYiJjU0NwYXFhc3LgEvAT0aBhxGT3N2k5CTdnNPRhwGGhoGHEZPc3aTkJN2c09GHAabB0MtW1R6gHdSWSxICwE3HTo5HjGw%2BLAuZoUxaWklTBMUAlgoCihXVGBHLy9HYFRXKAooKAooV1RgRy8vR2BUVygKKApgPV44KygzXDtoDgFJJUU6GUpZfLCwfFVJV3N8Q2kYYCQkAAAABP%2FDAAAE7QSwABYAIAApAEEAoQCyDwAAK7AOMwGwQi%2BxQwErsDYauj3v790AFSsKsA8uDrAMwAWxDgH5DrANwLAPELMLDwwTK7MQDwwTK7MZDwwTK7MaDwwTK7MkDwwTK7MlDwwTK7IQDwwgiiCKIwYOERI5sBk5sBo5sCQ5sCU5sAs5ALcLDA0QGRokJS4uLi4uLi4uAUAKCwwNDg8QGRokJS4uLi4uLi4uLi6wQBoBADAxAzc%2BBjMyFzczASM3LgQnNxIXNy4BNTQ3BhcWFz8BLgEvAQE3PgY3Jic3HgIfAQcOBD0aBhxGT3N2k0g9PCWU%2FsaUJVKmcmknCpvStyVrjy5mhTFpLxceOg8OASgmFi0vIjATLwFhKydDgS4NGhoHJVplkwJYKAooV1RgRy8RjvtQjxVlZ3k4Dyj%2B5jaNEqduVUlXc3xDL1ccUhsa%2FaeRDyYyJj8YQAJ%2FMJI2j0AUKCgMNGtiZgAAAAP%2FngAABRIErAALABIAFwAAJhYzITI2JwEuAQcBNwkBITUjFREbATUjbxslBQ4lGxX9fhQ4FP1%2B9QG9Ab3%2Bp8hkZMhEREcgBCAiBSD71mQC0%2F0tZGQBkP7UASxkAAAAAAEAZAAVBLAEsAApAEgAsB4vsAnNAbAqL7Al1rAFMrAWzbALMrIWJQors0AWGAkrsiUWCiuzQCUjCSuxKwErsRYlERKxHR45OQCxCR4RErEWJTk5MDETNTQ2NwERNDYyFhURAR4BHQEUBiclERYdARQGLwEjBwYmPQE0NxEFBiZkFg8Ba1h8WAFrDxYYEf6ZZBoTXt5eExpk%2FpkRGAEGKRQxDgFFAVM%2BWFg%2B%2Fq3%2Buw4xFCkUDQz5%2FvlbFkAUEQlOTgkRFEAWWwEH%2BQwNABEAAAAABEwEsAAJABsAHwAjACcAKwAvADMANwA7AD8AQwBHAEsATwBTAFcAADUUFjMhMjY1ESE1ITU0JisBNSMVITUjFSMiBhUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUdFQPoFR37tARMHRWWZP4MZJYVHWRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZDIUHh4UAu5klhUdZGRkZB0V%2FEpkZMhkZMhkZP5wZGTIZGTIZGT%2BcGRkyGRkyGRk%2FnBkZMhkZMhkZP5wZGTIZGTIZGQAAAMAAAADBXgErgAKABAAGQBBALAAL7AYM7ABzbATMrALL7AIM7AQzbADMgGwGi%2BxGwErALEBABESsREWOTmwCxGzBw0SFSQXObAQErEGDjk5MDE9ASEBMzUJATUjCQEhFzcnIQE3FzM1CQE1IwEDAljxASz%2B1J%2F9qP6rAQN6jbX%2BqwKmjXqfASz%2B1PHIyAJYxv7Z%2FtTF%2FagCWHqOtP2VjnvG%2Ftn%2B1MUAAAEAAAAABLAETAASABoAsg4AACuwEC%2BwDDOwBM0BsBMvsRQBKwAwMRkBNDYzITIWFREUBiMhAREjIiY7KQPoKTs7Kf2s%2FtBkKTsBkAJYKTs7Kf2oKTv%2B1AEsOwAAAwBkAAAETASwACUAKQAtAGAAsh8AACuwCc2yCR8KK7NACQEJK7AVMrAmL7AqM7AnzbArMgGwLi%2BwANawJjKwA82wKDKwAxCxEgErsCoysBfNsCwysS8BK7EDABESsCQ5sBIRsR4fOTmwFxKwGTkAMDETNSEVFBcWFxYzMj4GJzQ9ASEVFA4FIi4FGQEhESERIRFkASwGEVUnNSU7KR8RCwMCAQEsBhgnTWWdwJ1lTScYBgEsAZABLAJYyPpxIFwZCwsUHCMoLC4YEQj6yCpSfmpxUDMzUHFqflIBVgEs%2FtQBLP7UAAAAAAH%2F4gC4BGgD3gAFAAADFwkBNwEe4wFgAWHi%2Fb4Bm%2BMBYf6f4wJDAAABAEYA2gTMBAAABQAAEwkBJwkBRgJEAkLi%2Fp%2F%2BoAMd%2Fb0CQ%2BP%2BnwFhAAAAAAL%2FOgBkBXYD6AAIABEAKACwBy%2BwBM0BsBIvsAfWsATNsRMBK7EEBxESsAE5ALEEBxESsA45MDEDCQEjESEXIREBFyERIwkBIxHGASsBLMsBgdf84AGU1wF9xgErASvIArwBG%2F7l%2FnDIAlgBLMj%2BcP7lARsCWAAAAAEAEgAABKoEsAAyAEYAsiIAACuwGTOwLM2wLBCwJs2xFR0yMrAvL7AEzbAQL7AJzQGwMy%2BwJNawH82wHxCxHAErsBfNsTQBK7EXHBESsC05ADAxEyY3NjMhNz4BOwEyFhQGKwEDDgIrARUUBiImPQEhFRQGIiY9ASMiJjU0NjMhNyEiJicSBQ8OGQOAJgUbEV4UHh4UNskCCB4SHx0qHf7UHSodMhUdHRUCFzD9hyAtBQOrGBITohEVHSod%2FD8EDRYyFB4eFDIyFB4eFDIeFBUdyCoWAAAAAAIAAAAABLAETAADAA8AIACyAAAAK7ABzbAEL7AFzbANMrAJzQGwEC%2BxEQErADAxMREhEQE1MzQ2MyEyFhUhFQSw%2B1DIOykBLCk7AfQDIPzgA4RkKTs7KWQAAAAAAgABAAAF3QRMAAMAEAAoALIAAAArsAHNsA8vsA3NsAUysAnNAbARL7ESASsAsQEAERKwBDkwMTMBIQkBETM0NjMhMhYVIRUhAQEsBLD%2B1PtQyDspASwpOwH0%2FBgCvP1EAZACWCk7OynIAAAAAQEuAAADggSwAAkAIQCyCQAAKwGwCi%2BwAdawB82xCwErsQcBERKxBAk5OQAwMQEzESMJASMRMwEBLsbGASoBKsbG%2FtYBLAJYASz%2B1P2o%2FtQAAAAAAQAAAS8EsAOCAAkAHACwCC%2BwAs0BsAovsQsBKwCxAggRErEABTk5MDERARUhNQkBNSEVASwCWAEs%2FtT9qAJYASrGxv7W%2FtfFxQAAAAQAAAAABLAEsAAPABkAHQAhAEkAsgwAACuwGs2wHjKwHS%2BwIDOwBc2wEC%2BwFM0BsCIvsBvWsB7NsB4QsR8BK7AJzbIfCQors0AfAAkrsSMBK7EJHxESsBk5ADAxPQE0NjMhMhYdARQGIyEiJhsBPgEzITIWFxMBMzUjFzM1IzspA%2BgpOzsp%2FBgpOx%2BsBSQUAqATJQWs%2Fo9kZMhkZGRkKTs7KWQpOzsBVQLjFictF%2F0k%2FtRkZGQAAAAD%2F5sAZASwBEwACwApADcAJgABsDgvsADWsAbNsAYQsSoBK7AyzbE5ASuxKgYRErEMGjk5ADAxAzU0Nj8BFS4EFzU8Az4FOwElESUjExYOASMiKwEiJicCARE0NjMyFhURFAYjIiZlMhkZBA4iGhbJAQICBAUHBMgCo%2F1dJi8CCgwPBQNTFB0ENwPoHRUUHh4UFR0CWDIYMg0N%2BgIHFRYhVfoCDAQKBAcDBQIB%2BvyuyP7sDAsBHBUBUf7iA1IVHR0V%2FK4UHh4AAAIASgAABGYEsAArADMANQCyLwAAK7AzzbApL7AfM7ADzbAYMrIpAwors0ApJQkrAbA0L7E1ASsAsSkzERKxLDE5OTAxEzQ2OwE3Ez4BNycmNjsBMhYHBhUeARcTFzMyFhUUBgcOBCMiJi8BLgEFHgEyNjcGIkobFBJ1Pw96UxIGEhReFBIGElN6Dz92ERQbGhIIHmRqn0998To6EhoBpww4RjgLMGwBXhUdrQFHTX4UIBMaFRMkARN%2FTf65rR0VFCgHAwsdFRIpFBQHKdwxPT0xBgAAAQAVABUEnAScABcAABMXBzcXNxc3Fyc3JzcnNwcnBycHJxcHFxXpTuAtm5st4E7qtLTqTuAtm5st4E7pswG9LeBO6bOz6U7gLZucLOFO6bS06U7hLJwAAAMAAABkBLAEsAADACIALgAaAAGwLy%2BwKNawFs2xMAErsRYoERKwFDkAMDE1MxEjARQ7ARY7ATI3EzY9ATQmIyE2PQE0JisBIgYPAgYVExE%2FATMVByEVAyMnyMgBLGQ9fA%2F6LiXuHT0n%2FrgcPScyGzAOYJEUZJZkMjIBwvrWiMgCWP3zS2Q5AVgfK2QsUXYHlixRKBzGxBol%2FokBd9XUr%2BF9%2FolkAAAAAAMAAAAABLAETAADACIALgBwALIcAAArsCXNsBUvsAAzsCjNsC4vsAfNsAEysCwvsArNAbAvL7AA1rADzbADELEEASuwI82wIxCxJgErsBjNsBgQsSkBK7ARzbEwASuxJiMRErIIKCw5OTmwGBGwFTmwKRKwKzkAsS4cERKwKjkwMRkBMxE3ETQ7ATY7ATIXExYdARQGIyEWHQEUBisBIiYvAiY3HwEzNSchNQMjByPIZGQ9fA%2F6LiXuHT0n%2FrgcPScyGzAOYJEUZJZkMjIBwvrWiGQBkAJY%2Fah9AZBLZDn%2BqB8rZCxRdgeWLFEoHMbEGiXU1a%2FhfQF3ZAAAAAMACABkBRUEVQADACIAQQB5ALAgL7AkzbAbL7ApzbAxL7AUzbABMrIxFAors0AxAAkrAbBCL7AA1rADzbADELEEASuwI82wIxCxLQErsBjNsi0YCiuzQC08CSuxQwErsS0jERK0DBEbFD8kFzkAsRskERKwIzmwKRGwGDmxFDERErIXPEE5OTkwMTcRMxE3ETQ2PwElNjMyHwEWFRQPASEyFhQGKwEDDgEjISImNxchEz4BOwEyNjU0JiMhKgIuBCcmNTQ%2FAScFCMhkHA4OAWoOCxEMbQ4LVQEuVWttVGuCBxsP%2FqsHpmRkASWDBhsPyxASEhD%2BNwELBAkDBwQEAgUKk1b%2BrcgCWP2oSwINESUKCeYGDHAOFBIOeUyQTv6tFieiG1kBUxUoHhUUHQEBAgMFAwwIDg23U%2BwAAAAD%2F5sAZQSwBFYAHgA4ADwAeQCwGC%2BwJM2wHS%2BwH82wOC%2BwA82wOjKyOAMKK7NAODkJKwGwPS%2BwAdawH82yHwEKK7NAHywJK7AfELEmASuwFM2wFBCxOQErsDzNsT4BK7EmHxEStAcMHAQpJBc5ALEdJBESsCY5sB8RsAA5sQM4ERKyAScsOTk5MDECNDYzBScmNTQ%2FATYzMhcFHgIVERQGIyEiJicDIyInMzIWFxMhNxElBxcWFRQHDgUqASMhAREzEWVsVQEuVQsObQ0QCw4BbQcUIawI%2FqsQGwaCa1QK3g8bBoMBJWv%2BqVeRCgUBBQMHBAkECwH%2BJAPpyAJDkEwBeRAQFQ1xDAbmBA0nEf3yDaEoFQFTZCkU%2Fq1ZAfbtU7gLDwsJAwUDAgEB%2FgwCWP2oAAAAAAMAYQAABEwFDgAbADYAOgBHALI3AAArsDjNAbA7L7AV1rA3MrApzbIpFQors0ApOgkrsDMysCkQsS8BK7AOzbE8ASuxKRURErESNjk5sQ4vERKwETkAMDEbAR4CMyEyNjURNCYnJTU0JiIGFREnJgYPAQYXNxcWNz4FPAE1ETQ2Fh0BFBYXBREHIQM1IRVh5gQNJxECDQ2iKBX%2BrU6QTHkPJQ5wFltTtxYZAwUDAgEBMjIoFQFTWf4JCAJYAs%2F%2BlQYTH6YHAVYPGwaDalRua1X%2B0lQMAQ1uFgtWkhINAQUDBwQJBAsBAcgWEhMVyhAbBoL%2B2mT%2BcMjIAAAAAAMAAgAKA%2B0FGAAdADQAOABFALA1L7A2zQGwOS%2BwCtawNTKwK82yKwoKK7NAKzgJK7AhMrArELEnASuwD82xOgErsSsKERKxDB85ObEPJxESsA05ADAxEwYfAR4BPwEUBhUUFjI2PQElPgE1ETQmIyEiBg8BAxMhFxEFDgEdARQGJjURPAEuAScmDwETNSEVAhAWcA0mD3kBTZBOAVMUKaIN%2FfMRJQoKmuwB91n%2BrBQoMjIDBwYYFriSAlgCSR8Wbg0BC1UzzS5UbG5UaoMGGw8BVgemHA4P%2FoIBU2T%2B2oIGHA%2FKFhISFgHICwcQCAMNEpICccjIAAAAAgAFAAAEsASrAA4AFQA6ALIMAAArsBDNsA8vsAXNAbAWL7AA1rAQzbEXASsAsRAMERKxCRI5ObAPEbEAEzk5sAUSsQgUOTkwMRM0PgIzMgQSEAIEICQCARchBwkBFQVfoN16ogEToKD%2B7f68%2FuygASUCASwCAZL%2BbgJVet2gX6D%2B7P68%2Fu2goAETAQrJwgEmASrFAAIAAAAABKsEqwAQABcAOACyDgAAK7AUzbAWL7AFzQGwGC%2BwFNawCs2xGQErALEUDhESsBI5sBYRsgoAETk5ObAFErAXOTAxETQ%2BAjMyHgIVFAIEICQCNwEnITchNV%2Bg3Xl63aBfoP7s%2Frz%2B7aDIAZICASwC%2FtQCVXrdoF9foN16ov7toKABE6X%2B2sLJxQAAAAIABQAABLAEqwAOABUAPgCyDAAAK7ARzQGwFi%2BwANawEc2wERCxEgErsAnNsRcBK7ERABESsQwPOTmwEhGxBRU5ObAJErELFDk5ADAxEzQ%2BAjMyBBIQAgQgJAIlMxEzETMBBV%2Bg3XqiAROgoP7t%2Frz%2B7KABJ8jIyP7UAlV63aBfoP7s%2Frz%2B7aCgAROl%2FtQBLAGQAAACAAUAAASwBKsADgAVAE0AsgwAACuwFC%2BwBc0BsBYvsADWsBXNsBUQsRIBK7AJzbEXASuxFQARErEMDzk5sBIRsQUQOTmwCRKxCxE5OQCxFAwRErIIABA5OTkwMRM0PgIzMgQSEAIEICQCJQkBIxEjEQVfoN16ogEToKD%2B7f68%2FuygAScBLAEsyMgCVXrdoF%2Bg%2Fuz%2BvP7toKABE6X%2BcAGQASz%2B1AAAAAAEAAUAAASwBKsAEACIAJgAmgB8ALIOAAArsCrNsE8vsIwvAbCbL7AA1rAUzbAUELFYASuwCs2xnAErsRQAERKwEjmwWBFADg4FEyEjJDxKVXiEhYmUJBc5sAoSQAoNIiYwO1pndpmaJBc5ALFPKhEStxYwNjxGSFVXJBc5sIwRQAkKABRYbIWNjpQkFzkwMRM0PgIzMh4CFRQCBCAkAhMGFgcUFgcyHgEXFhceAjcWBhcWFxQOARcWNz4CNy4BJy4BJyIOAgcGJyY2NS4BJzYuAQcGJyY3NjceAhceAR8BNDYnJjY3PgM3JjcyFjI2Ny4DJzYnHgE%2FATYuAScGJw4DBwYmBw4BBwYWBw4BJT4BNxYyPgE3FBYVLgM3MwVfoN16ed2gX6D%2B7f68%2Fuyg%2BQgbBiIBDBYYCBhUFj45HQguAyotBgEFaHUeIiMDDi4NDkYRCT0gLhAyEAQBBikEAggZGhcTEwsGEAYoGwYMKA4OEwQEJQQFCgcYFgYQCB8SFwkKKSM%2FDAsJHzYMCwcvUg8TEg8rGj4IDz0PFT4DAxMBAzEBAwMaAwoRCxIHIgksHCSiAQJVet2gX1%2Bg3Xqi%2Fu2goAETAVkhdxwJRhkLEwQMHggvHgQSShRHCQYTCgwDcx0kPh8JAQcHEAsBAgsLIxcCLwINCAMWJhIdGR0cHhAGAQEHChMlCQgDSRUXKwoOKhQZCRITAwkLFycVIAcnBQ0DBQQkIxYMAwMMEgYKAQMHBgcnDwsXByJxcQwkBwoMEQQYVQECBgQMXwAAAAABAAAAAgSvBIUAFAAAPAE3ASY2NzYXBRc3FgcGJwEGIi8BDwJYIU5gpI7%2B%2FZH7DaR7gv2sDysPb48rEAJXZck2XGWK6H6vXEYv%2FawQEG4AAAYAAABgBLAErAAPAB8ALwAzADcAOwBQALAML7A0zbA3L7AFzbAcL7AwzbAzL7AVzbAsL7A4zbA7L7AlzQGwPC%2BwNdaxMTkyMrAJzbEYKDIysjUJCiuzQDUACSuxECAyMrE9ASsAMDE9ATQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJhE1NDYzITIWHQEUBiMhIiYBITUhEyE1IRMzNSM7KQPoKTs7KfwYKTs7KQPoKTs7KfwYKTs7KQPoKTs7KfwYKTsCWAH0%2FgzIASz%2B1GTIyMRkKTs7KWQpOzsBuWQpOzspZCk7OwG5ZCk7OylkKTs7%2Fplk%2FgxkArxkAAACAGQAAARMBLAAAwAJACUAsggAACuwAC%2BwAc0BsAovsAjWsAfNsQsBKwCxAAgRErAEOTAxEzUhFQUhAREHEWQD6PxKA4T%2BosgETGRkZP4M%2FtTIAfQAAAAAAwAAAGQEsASwAAkAIQAlAGAAsAcvsAHNsAovsB0zsA7NsRgiMjKwJS%2BwE80BsCYvsA%2FWsCLNsCAysg8iCiuzQA8LCSuwADKwIhCxIwErsB4ysBjNshgjCiuzQBgcCSuwAjKxJwErALEOChESsB85MDE9ASEVFAYjISImGQE0NjMhNTQ2OwEyFh0BITIWFREhNSMVETM1IwSwOyn8GCk7OykBLDspyCk7ASwpO%2F4MyMjIyMjIKTs7AVUBkCk7ZCk7OylkOyn%2BcGRkAfRkAAAAAAQAAAAABLAEsAAGAA0AFAAbABQAsgAAACuwEjMBsBwvsR0BKwAwMTERFzcXBxcBNxc3JzchATcXNxEhNwM3JyERJweByI7Igf5wgciOyIH%2BcALZjsiB%2FnCByMiBAZCByAGQgciOyIEDIIHIjsiB%2FJmOyIH%2BcIEC5siB%2FnCByAAABgAAAAAEqASoAAsAFQAfACkAQgBMANIAsgoAACuwD82wHi%2BwSjOwGc2wRTKwKC%2BwOTOwI82wNDKyKCMKK7NAKEEJK7AUL7AEzQGwTS%2BwAdawDM2wDBCxFwErsBvNsBsQsSELK7AmzbAmELEqASuwPs2wPhCxQwErsEjNszdIQwgrsDHNsDEvsDfNsEgQsREBK7AHzbFOASuxJhsRErMKDhQDJBc5sT4qERKxLTw5ObE3MREStQkPEwQvOyQXOQCxHg8RErMHAAwRJBc5sBkRsyotPD4kFzmwKBKxBgE5ObAjEbEvOzk5MDEYARIkIAQSEAIEICQTFBYgNjU0JiAGFjQ2MhYVFAYjIjY0NjMyFhQGIyIXNDY%2FAiY1NDYzMhYUBiMiJwcWFRQGIiYlNDYyFhQGIyImoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqrzbR8uICAXFk0gFxYgIBYXUikfegEJIBcWICAWDg83ETNIMwEeIC4fIBYXIAGyAUQBEqCg%2Fu7%2BvP7uoKABtKzy8qyr8%2FOHLh8gFhcg5CwhIC4guiAxBX4BDg4WISAuIAqRFh0kMzNSFiAfLiAgAAAAAf%2FYADsEugSwAE8AOgCwBS%2BwJ82wIC%2BwFc2wNi%2BwSs0BsFAvsVEBKwCxJwURErA%2FObAgEbQLDxobMSQXObAVErEyMzk5MDECBhceATMyNz4CNzY3AT4BJyYnJiMiBgcBBxcBNjc2MzIXFgcBBiMiJicmPgI3NjcBPgIzMhceAQcGDwEDHwEBPgEnLgEnJiMiBwYHARsaMCN2Rj84IUApJygRAYojGA8bWhQJLkEj%2FnsHRQF5FBMXGyYPECT93TRJN1oJBQ8wJCYYFAFcND1rNhkXX3YIB1v8%2FQdFAgVDOBEQZk9FU2taKEf%2BAAHWvk45QBwQMSorLBEBiiNiL1cRAiEj%2FnQHQwF1FhAXJCck%2Fd00Qj8jPkAkJBUUAVw0NzUEEZtiZVv5%2FwAHPAH%2FQ7RdV4YkITcYR%2F4AAAAAAAIAUAA2BMMEWAAbADUAPQCwMy%2BwLTOwA82wBzIBsDYvsADWsBzNsBwQsSoBK7AKzbE3ASuxKhwRErMDBw8YJBc5ALEDMxESsAU5MDETNDYzMhc2MzIWFRQOAgcGDwEnLgInLgM3FB4BHwEWFzY%2FAT4CNTQmIyIPAScmIyIGUMWEj2Jnj4HCI1dDR8VgERArckZCR0NXI6o9PkAWXWFScQxAQz5gOUo6dnIzSDxjAxCDxYGBxYMuWmxHRr%2BDFxc6gUZBRkdsWi4bVkE%2BFlpvXG8MPkZYHEdhU6uuUGMAAAAAAgA5%2F%2FIEdwS%2BABgAMwAAExQfARYzMjcBNjQvASYnBxcBJzcnJicHBhMUHwEWFzcnARcHFxYXNz4BNTQvASYjIgcBBjlCjURbXUIBG0JCjQgLadT%2Be%2FdfEi4dN0LUQo0HDGnUAYX3XxIvHh0jN0KNQl1fQP7lQgFhX0COQkIBG0K6Qo0JCGnU%2Fnv4XxItODdCAQRdQo0HCmnUAYX3YBExMx0jaitdQo1CQv7lQAAAAAADAMgAAAPoBLAAEQAVAB0ARQCyDwAAK7AZzbAdL7ASzbAVL7AGzQGwHi%2BwANawEs2wEhCxEwErsAvNsAsQsBvNsBsvsR8BK7EbEhESsgYFFjk5OQAwMTcRND4CMh4CFREUBiMhIiY3IREhEhQWMjY0JiLIPGacqppkOjsp%2FagpO2QCWP2oxD1WPT1WZAO5FTIuHh4uMhX8Ryk7O%2FECvPzZVj09Vj0AAAABAAAAAASwBLAAGAARALIAAAArAbAZL7EaASsAMDExATcnIQEnJjQ3NjIXARYUBwYiLwEBEScHAS%2FP0gEsAQsjDw8OKg4BGw8PDioOJP7p1NABfNDUARckDioODw%2F%2B5g8qDg8PI%2F71%2FtTSzwADAScAEgQJBOEAMQA9AEMAlwCwLS%2BwKjOwBM2wPjKyLQQKK7NALSwJK7A7L7AfM7ASzbISOwors0ASEwkrAbBEL7AO1rAAMrAyzbABzbAyELEsASuyBBI6MjIysCvNshQfPjIyMrArELFAASuwJ82wHCDWEbAbzbFFASuxMgERErACObAsEbAJOQCxBC0RErApObA7EbYADhsnOkBDJBc5sBISsBU5MDEBMx4BFxEuASMuBDU0PgE3NTMVHgQXIy4BJxEXHgQVFAYHFSM1JicuARMUHgMXFhcRDgETNjU0JicBJ4sFV0oGEwIuQk4vIViCT2QmRVI8KwOfCDZKQCI8UDcosptkmFUoGagQESoUHAcEPUnqqlhSAbFNYw8BTwEGDhkvOVg3XIdDB05PBBMsP2lCSEsN%2Fs0OBxMsPGU%2Bi6oLTU4RVyhrAh4dLBgVBgcCAQESCDv9KxKFQEcZAAAAAQBkAGYDlAStAEMAjQCwMS%2BwKs2wAC%2BwHjOwAc2wHDKwEy%2BwC82yEwsKK7NAEw4JKwGwRC%2BwB9awOTKwGM2wJDKyGAcKK7NAGB4JK7IHGAors0AHAAkrsBgQsQ8BK7AOzbFFASuxGAcRErMCOEJDJBc5sA8RtQsfICoxMyQXObAOErAsOQCxKjERErEtOTk5sAARsSw8OTkwMRM1MyYnLgE%2BATc2MzIWFSM0LgEjIgYHBhUUHgEXMxUjFgYHBgc%2BATM2FjMyNxcOAiMiJgcOAQ8BJz4FNz4BJ2SmGBQKCQMvLWGmgcqZRFAkJVQUKSEXHvHFCBUVKTojYhUhjCFMPDIpTycqF9IyJ1YXGDcGFQoRDBEJMAwkAlhkMTcaO1ZeKFiydzRLHB0VLDkcUyozZDKCHTs2Cw4BIh6TGRcDQgQEGgwLkQQOBg0LEQo3j0cAAgACAAAErgSwAAYADQAfALIMAAArAbAOL7AM1rALzbEPASuxCwwRErAIOQAwMRMJASMRIxEJAiMRIxECASoBKsbIAZIBKgEqxsgBLP7UASwDhPx8AlgBLP7U%2FHwDhAAABQACAAAD6ASwAAYADAAWAB4AIgCmALIHAAArsAYzsArNsgcAACuwCM2wEy%2BwFM2xAAQyMrANL7AOzbAdL7AfzbIdHwors0AdFwkrsBoysCIvsBjNsAIyAbAjL7AB1rAEzbAEELEIASuxDRcyMrAKzbEdHzIysAoQsRUBK7EbIDIysBDNsQsZMjKzEhAVCCuwE82wEy%2BwEs2xJAErsQQBERKwBjmwCBGwBTkAsRQIERKwEDmwDRGwETkwMRMzETMRMwEhNTMVMxUBNSEVIxUjNTM1AxEhESM1IxU3MzUjAsbIxv7WAZBkyP7UASxjZGPIASxkZAFkZAEsA4T8fP7UyGRkAZBkyGRkZAEsAfT%2BDGRkyMgABQACAAAD6ASwAAYADgAUAB4AIgCgALIGAAArsQcKMzOwDS%2BwH82wIi%2BwCM2wDy%2BwEs2wEM2wGy%2BwHM2wFS%2BwFs2wAjIBsCMvsAHWsATNsAQQsQcBK7EPFTIysA7NsREfMjKwDhCxCwErsR0gMjKwCs2xExcyMrMaCgsIK7AbzbAbL7AazbEkASuxBAERErAGObAHEbAFOQCxIh8RErMBBAUAJBc5sRwQERKwGDmwFRGwGTkwMRMzETMRMwEhESERIzUjFQM1MxUzFQE1IRUjFSM1MzUDMzUjAsbIxv7WAZABLGRkZGTI%2FtQBLGNkY2NkZAEsA4T8fP7UAfT%2BDGRkArzIZGQBkGTIZGRk%2FHzIAAAEAAIAAARMBLAABgAMABIAFgBrALILAAArsAwvsBPNsBYvsAjNsA0vsA7Nsg0OCiuzQA0RCSsBsBcvsBHWsBDNsxMQEQgrsAfNsAcvsA0zsBPNsBAQsRQLK7ALMrAKzbEYASsAsQgLERK0AAIDBgEkFzmxDg0RErEFBDk5MDETCQEjESMRBREhESM1AzUzESMREzM1IwIBKgEqxsgCWAEsZMjIZAFkZAEs%2FtQBLAOE%2FHzIAZD%2BDGQD6GT%2BDAGQ%2FHzIAAAABAACAAAETASwAAYADAASABYAawCyCwAAK7AHL7AIzbASL7ATzbISEwors0ASEAkrsBYvsA7NAbAXL7AL1rAKzbMTCgsIK7ANzbANL7AHM7ATzbAKELEUCyuwETKwEM2xGAErALETCxEStAACAwYBJBc5sQ4WERKxBQQ5OTAxEwkBIxEjESU1MxEjEQMRIREjNSczNSMCASoBKsbIAljIZGQBLGRjZGQBLP7UASwDhPx8ZGT%2BDAGQAZABkP4MZGTIAAAAAAUAAgAABLAEsAAGAAoADgASABYAUgCwBy%2BwCM2wCy%2BwDM2wDy%2BwEM2wEy%2BwFM0BsBcvsA%2FWsgcLEzIyMrASzbAWzbIWDwors0AWCgkrs0AWDgkrsRgBKwCxCwgRErMCAwYAJBc5MDETCQEjESMRBTUhFQE1IRUBNSEVATUzFQIBKgEqxsgB9AH0%2FgwBkP5wASz%2B1MgBLP7UASwDhPx8yMjIASzIyAEsyMgBLMjIAAAABQACAAAEsASwAAYACgAOABIAFgBSALAHL7AIzbALL7AMzbAPL7AQzbATL7AUzQGwFy%2BwC9ayBw8TMjIysA7NsArNsgoLCiuzQAoSCSuzQAoWCSuxGAErALELCBESswIDBgAkFzkwMRMJASMRIxEFNTMVAzUhFQE1IRUBNSEVAgEqASrGyAH0yMgBLP7UAZD%2BcAH0ASz%2B1AEsA4T8fMjIyAEsyMgBLMjIASzIyAAAAAACAAAAAARMBEwADwAfACoAsg0AACuwE82wHC%2BwBM0BsCAvsADWsBDNsBAQsRcBK7AJzbEhASsAMDEZATQ2MyEyFhURFAYjISImNxQWMyEyNjURNCYjISIGFeulASyi7u2j%2FtSl68g7KQH0KTs7Kf4MKTsBkAEspevto%2F7UpevrQSk7OykB9Ck7OykAAAMAAAAABEwETAAPAB8AIgA%2BALINAAArsBPNsBwvsATNAbAjL7AA1rAQzbAQELEXASuwCc2xJAErsRcQERKxICE5OQCxHBMRErEgIjk5MDEZATQ2MyEyFhURFAYjISImNxQWMyEyNjURNCYjISIGFRMtAe6iASyl6%2Bul%2FtSj7cg7KQH0KTs7Kf4MKTvIAU3%2BswGQASyj7eul%2FtSl6%2BtBKTs7KQH0KTs7Kf4M%2BvoAAAAAAwAAAAAETARMAA8AHwAiAD4Asg0AACuwE82wHC%2BwBM0BsCMvsADWsBDNsBAQsRcBK7AJzbEkASuxFxARErEgIjk5ALEcExESsSAhOTkwMRkBNDYzITIWFREUBiMhIiY3FBYzITI2NRE0JiMhIgYVFxsB66UBLKPt66X%2B1KXryDspAfQpOzsp%2FgwpO2T6%2BgGQASyj7e6i%2FtSl6%2BtBKTs7KQH0KTs7KWT%2BswFNAAMAAAAABEwETAAPAB8AIgA%2BALINAAArsBPNsBwvsATNAbAjL7AA1rAQzbAQELEXASuwCc2xJAErsRcQERKxICE5OQCxHBMRErEgIjk5MDEZATQ2MyEyFhURFAYjISImNxQWMyEyNjURNCYjISIGFRMhA%2BulASyl6%2B2j%2FtSl68g7KQH0KTs7Kf4MKTtkAfT6AZABLKXr66X%2B1KLu7T8pOzspAfQpOzsp%2FnABTQACAAAAAAUUBEwABgAaADwAsgcAACuwCM2wAC%2BwAc2wES%2BwEs0BsBsvsAzWsBfNsRwBKwCxCAcRErAFObEBABESsAQ5sBERsAM5MDEZASE1CQE1EzUhMjY1ETQmIyE1ITIWFREUBiMBLAGQ%2FnDIAfQpOzsp%2FgwBkKXr66UBkAEsyP6i%2FqLI%2FnDIOykB9Ck7yOul%2FtSl6wAAAAEA2QACA9YEngAhACgAsA4vsBPNAbAiL7Ac1rAWzbEjASuxFhwRErAZOQCxEw4RErAPOTAxExYzIQIHBh8BMzI3NgAzNicmIwU2Ejc2LwEjIgcOAQAHBtkIFwEumwUFCQkJDgwLAg8BDgkIF%2F7TAZoCAgcJCQ8KBLz%2B80sQAgcT%2FkoUFQsIDw0CaRMREQEEAa8MDwwJEAbT%2FtFWEwAAAAACAAAAAAUUBEwAGAAfAD8AsgMAACuwCM2wCBCwBs2wGS%2BwGs2wEC%2BwEs2wFM0BsCAvsADWsAvNsSEBKwCxGgMRErEdHjk5sBARsBw5MDERFBYzITI3NSEiJjURNDYzITUuAS8BIgYVAREhNQkBNeulASwvNf4MKTs7KQH0DshdXaXrAlgBLAGQ%2FnABkKXrD7k7KQH0KTu5BAcCAuul%2FtQBLMj%2Bov6iyAACAAAAAASwBLAAHQAkAFQAsgMAACuwD82wFi%2BwGs0BsCUvsADWsBLNsBIQsQsBK7AHzbEmASuxCxIRErUYGR4fICQkFzmwBxGwIzkAsRYPERK1CAkeIiMkJBc5sBoRsB85MDERFBYzITI2PQEnBxUUBiMhIiY1ETQ2OwE3JyMiBhUlASchEScB66UBLKPtTno7Kf4MKTs7KZx2SmSl6wHwAWGVAfSV%2FqoBkKXr66ViSXuUKTs7KQH0KTt6TuulCQFWlf4Mlf6fAAMABAAEBKwErAALABMAGwBaALAKL7APzbAbL7AXzbATL7AEzQGwHC%2BwAdawDc2wDRCxFQErsBnNsBkQsREBK7AHzbEdASuxGRURErcECQoODxITAyQXOQCxFxsRErcBBgcMDRARACQXOTAxEhASJCAEEhACBCAkEhAWIDYQJiACNDYyFhQGIgSgARIBRAESoKD%2B7v68%2Fu4W8wFW8%2FP%2BqhdyoHJyoAG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP%2BEqBycqByAAAAAwAAAAAETASwAAkAEAAUAC4AsgkAACuwEc2wFC%2BwBc2wCzIBsBUvsBLWsAjNshIICiuzQBIACSuxFgErADAxMRE0NjMhMhYVEQkCIREhEQEzNSMOCwQYCxD8GAG9AcL%2B2f7UAfRkZAETCw4PCv7tAyD%2BDAH0AZD%2BcP12MgAAAAADAAAAAARMBLAACQAQABQAKwCyCQAAK7ARzbAUL7AFzQGwFS%2BwEtawCM2yEggKK7NAEgAJK7EWASsAMDExETQ2MyEyFhURASERIREhCQEzNSMOCwQYCxD8GAEsASwBJ%2F5DAV5kZAETCw4PCv7tArz%2B1AEsAfT75jIAAAAAAwAAAAAETAR%2FAAkADwATAC4AsgkAACuwEM2wEy%2BwBc0BsBQvsBHWsAwysAjNshEICiuzQBEACSuxFQErADAxMRE0NjMhMhYVEQkCJwEnATM1Iw4LBBgLEPwYATECVJr%2BRpYChWRkARMLDg8K%2Fu0Cwf7PAlSb%2FkaX%2FToyAAQAAAAABEwEsAAJAA0AFAAYACsAsgkAACuwFc2wGC%2BwBc0BsBkvsBbWsAjNshYICiuzQBYACSuxGgErADAxMRE0NjMhMhYVEQEXNycDJRMHJwcXATM1Iw4LBBgLEPwYYdRhcAK5A%2FqV1JUBzmRkARMLDg8K%2Fu0D3GLVYfzgAQK775XUlf4NMgAEAAAAAARMBLAACQANABQAGAAuALIJAAArsBXNsBgvsAXNAbAZL7AW1rATMrAIzbIWCAors0AWAAkrsRoBKwAwMTERNDYzITIWFREBFzcnExcHFzcXCwEzNSMOCwQYCxD8fNRi1QPvldSV%2BQFjZGQBEwsODwr%2B7QJk1GHUAev6ldSU7QK5%2B%2BkyAAAAAAIAF%2F%2F%2FBLAErwAFAAgAFwCyBAAAKwGwCS%2BwBdawBs2xCgErADAxEwERCQERFwkBFwSZ%2FiX%2Byk8CoP1gAZ8DEPvJARD%2BdwGgzQOq%2FTgAAAAAAgAAAGQETASwABUAGQBNALARL7AGzbIRBgors0AREwkrsA4ysgYRCiuzQAYECSuwCDIBsBovsADWsBLNsAbNsBIQsQ8BK7ALzbEbASuxDwYRErIJFhc5OTkAMDE1ETQ2OwERIREzFxEUBisBESERIyImATM1Ix0V%2BgH0ZMgeFJb9RJYVHQJYZGSWA%2BgUHv7UASzI%2FK4VHQGQ%2FnAdA2fIAAMAAAA%2BBRQEsAATABkAHQBAALAPL7AGzbIPBgors0APEQkrsgYPCiuzQAYECSuwCDIBsB4vsADWsBDNsAbNsR8BKwCxBg8RErILFxg5OTkwMTURNDY7AREhETMXFQEnByERIyImJTcXARcBAzM1Ix0V%2BgH0ZMj%2B7Hh%2B%2FoaWFR0CRXt4AWF7%2FiXhZGSWA%2BgUHv7UASzI2v7teH%2F%2BcB2xe3gBYHv%2BJAOqyAAAAAADAAAABgUOBLAAEwAXACMAFQABsCQvsADWsBDNsAbNsSUBKwAwMTURNDY7AREhETMXEQcnASERIyImATM1IxM3JzcXNxcHFwcnBx0V%2BgH0ZMhnqv7W%2FreWFR0CWGRkZKqqf6qqf6qqf6qqlgPoFB7%2B1AEsyP7zZ6r%2B1v5wHQNnyPvVqqp%2FqqqAqap%2FqqoAAAADAAAAAASwBLAAEgAZAB0AbACwDi%2BwBs2yDgYKK7NADhAJK7AGELAMzbAaL7AbzbEECDIyAbAeL7AA1rAPzbIPAAors0APCwkrsAAQsAbNsA8QsRoBK7AdzbAMMrEfASuxGgYRErATOQCxDA4RErEXGDk5sRoGERKwCjkwMTURNDY7AREhETMXESEVIREjIiYlCQEjESMRAzUzFR0V%2BgH0ZMj%2BcP4MlhUdAlgBLAEsyMjIZJYD6BQe%2FtQBLMj%2B1Mj%2BcB2r%2FtQBLAEs%2FtQCvMjIAAAAAAMAAAAABLAEsAASABkAHQBbALAOL7AGzbIOBgors0AOEAkrsBovsBvNsQQIMjIBsB4vsADWsA%2FNsAbNsA8QsRoBK7AdzbEfASuxGgYRErATObAdEbANOQCxBg4RErILDBk5OTmwGhGwCjkwMTURNDY7AREhETMXEScBIREjIiYlMxEzETMJATUzFR0V%2BgH0ZMjI%2Ftb%2BbpYVHQJYyMjI%2FtT%2B1GSWA%2BgUHv7UASzI%2Fm7I%2Ftb%2BcB2r%2FtQBLAEsAZDIyAAAAAADAAAAyASwBEwACQATABcAADUUFjMhMjY1ESE1ITU0JiMhIgYVEzUhFR0VBEwVHftQBLAdFfu0FR1kAZD6FR0dFQImZJYVHR0V%2FRLIyAAAAAYAAABmBLAErgAGAAoADgAVABkAHQCBALAFL7EWGjMzsALNsRccMjKwBy%2BxCw8zM7AIzbEMEDIyAbAeL7AH1rAKzbAKELELASuwDs2wDhCxFgErsBnNsR8BK7ELChESswIFBgEkFzmxFg4RErMEAw8QJBc5sBkRsxIUFREkFzkAsQIFERKwADmwBxGxARQ5ObAIErATOTAxEQEVIRUhFQM1MxUzNTMVMzUhNQkBNQM1MxU7ATUjASwBkP5wyGRkZGQBkAEs%2FtRkZGRkZAGQASrGyMYCusjIyMjIxv7W%2FtbG%2FgzIyMgAAAACAGQAAASwBLAAGAAvADoAshQAACsBsDAvsADWsATNsAQQsRcLK7AQzbMJEBcIK7AFzbAFL7AJzbAQELEKCyuwDs2xMQErADAxExE3FxEzETcXETMRNxcRBxEUBisBIiY1ESUUHgIfAREUFjsBMjY1ETQmBwUOARVkMjJkMjJkMjJkHRXIFR0CWBUdHQsKHRXIFR0kGv7sGSUCvAGQZGT%2B1AEsZGT%2B1AEsZGT%2BcMv%2BQRUdHRUBv2QdNSEYBgX%2BcxUdHRUEUh8TEXQRRR8AAAAAAQBkAAAEsARMADMAOACyAAAAK7AMM7AzzbICCw4yMjKwKC%2ByGBwlMzMzsCfNsBoyAbA0L7E1ASsAsSgzERKxBiA5OTAxMyE1IiY1ESERFAYjFSE1Ii4DNRE0Nj8BNSEVMhYVESERNDYzNSEVMh4DFREUBg8BZAGQSxkB9BlLAZAEDiIaFjIZGf5wSxn%2BDBlL%2FnAEDiIaFjIZGTgMJgGK%2FnYmDDg4AQUJFQ4DeBYZAQI4OAwm%2FnYBiiYMODgBBQkVDvyIFhkBAgAGAAAAAARMBEwADwAYABwAIAAqAC4AMgCyGAAAK7AQzbAWL7ASzbISFgors0ASFAkrAbAvL7EwASsAsRIQERKzBAMZHCQXOTAxERQWMyEyNjURNCYjISIGFRMhNzMlESEHIQM1IRUBNSEVASEXFSUzNSEnIQE1JRU7KQEsKTs7Kf7UKTtkAZDIaQEn%2Fldk%2FolkASz%2B1AEs%2FtQBkMgBJ2n%2BV2T%2BiQH0AZABLCk7OykB9Ck7Oyn9RMhi%2FtZkASzIyAEsyMgBkMhiYshk%2FUajhaMAAQAQABAEnwSfACAAABIeAxceAzM%2FATYmLwEmBg8BLgEnNz4BLwEuAQ8BEAEfPpJmZ9GXex8foxEHE8ATNBB2jvxldhEGDosOLRKiA%2BQriY%2FUZmeSPSEBohIuDogOBBF2ZfyOdhExFMITBhGiAAAAAAIAAAAABLAETAAdAEAALwCyGwAAK7AMzbAoL7A4zQGwQS%2BxQgErALEMGxESsSAvOTmwKBGzJikyQCQXOTAxPQE0NjcBNTQ%2BAzIeAh8BFQEeAR0BFAYjISImERQWPwE%2BAT0BNiAXFRQWHwEWNj0BLgQjIg4EDwEVDgFtAhYmUnBSJhYBAQFtDhUdFfu0FB4dFMoUHY0BPo0dFMoUHQYaZHzaflymdWQ%2FLAkJMtQUMw4BLzIEDSAZFRQbHAoKMv7RDjMU1BUdHQKrFRkEIQQiFZIYGJIVIgQhBBkVyAgZQTEpFSEoKCELCgACAGQAAASwBEwAAwAZABQAsgAAACuwAc0BsBovsRsBKwAwMTM1IRUlISc1NxEjFSM1IxUjNSMVIzUjERcVZARM%2B%2F8Dtn1kZGTIZMhkZGRkZMiW%2BmQBkMjIyMjIyP5wZPoAAAAAAwBkAAAEsARMAAkAEwAdACQAsgoAACuwFDMBsB4vsArWsBPNsBMQsRQBK7AdzbEfASsAMDEzIRE0JisBIgYVARE0NjsBMhYVETMRNDY7ATIWFRFkASw7KWQpOwGQOylkKTtkOylkKTsBkCk7Oyn%2BcAPoKTs7KfwYArwpOzsp%2FUQAAAAABf%2BcAAAEsARMAA8AEwAfACcAKwBIALINAAArsBDNsBMvsATNAbAsL7AA1rAQzbAQELERASuwCc2xLQErsREQERK1FBUgIygqJBc5ALETEBEStRQaICYoKSQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETIREjNTM1IREzFSMFMzUzESM1IxMRMxFksHwCvHywsHz9RHywyAOE%2FHxkASzIyP7UyMgBkMhkZMhkZAEsAfR8sLB8%2Fgx8sLAYArz9qAEsZGT%2B1GRkZAEsZP5wASz%2B1AAAAAAF%2F5wAAASwBEwADwATAB8AJwArAEgAsg0AACuwEM2wEy%2BwBM0BsCwvsADWsBDNsBAQsREBK7AJzbEtASuxERARErUUGSAjKCokFzkAsRMQERK1FBogJigpJBc5MDEDETQ2MyEyFhURFAYjISImNyERIRMzNTMVMxEjFSM1IwEzNTMRIzUjExEzEWSwfAK8fLCwfP1EfLDIA4T8fGRkZGRkZGQBkMhkZMhkZAEsAfR8sLB8%2Fgx8sLAYArz9qMjIAfTIyP4MZAEsZP5wASz%2B1AAABP%2BcAAAEsARMAA8AEwAbACMARACyDQAAK7AQzbATL7AEzQGwJC%2BwANawEM2wEBCxEQErsAnNsSUBK7EREBESsxQVHB0kFzkAsRMQERKzFBocIiQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETITUjETM1IQEhNSMRMzUhZLB8Arx8sLB8%2FUR8sMgDhPx8ZAEsyMj%2B1AGQASzIyP7UASwB9HywsHz%2BDHywsBgCvP2oZAEsZP4MZAEsZAAAAAAE%2F5wAAASwBEwADwATABYAGQBEALINAAArsBDNsBMvsATNAbAaL7AA1rAQzbAQELERASuwCc2xGwErsREQERKzFBUXGCQXOQCxExARErMVFhcZJBc5MDEDETQ2MyEyFhURFAYjISImNyERIRMFERMtAWSwfAK8fLCwfP1EfLDIA4T8fGQBLGQBLP7UASwB9HywsHz%2BDHywsBgCvP6ilgEs%2FtSWlgAAAAAF%2F5wAAASwBEwADwATABcAHwAnAFoAsg0AACuwEM2wFC%2BwGM2wIzKwHy%2BwJTOwFc2wEy%2BwBM0BsCgvsADWsBDNsBAQsRQBK7AYzbAYELEcASuwIc2wIRCxJAErsBfNsBcQsREBK7AJzbEpASsAMDEDETQ2MyEyFhURFAYjISImNyERIRMRIRElMzI2NCYrAQQUFjsBESMiZLB8Arx8sLB8%2FUR8sMgDhPx8ZAK8%2FaiCKTY5JoIBEzYpgoImASwB9HywsHz%2BDHywsBgCvP2oAfT%2BDGRUglZWglQBLAAABf%2BcAAAEsARMAA8AEwAfACMAKQBIALINAAArsBDNsBMvsATNAbAqL7AA1rAQzbAQELERASuwCc2xKwErsREQERK1FBUgISQnJBc5ALETEBEStRQaICImKCQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETIREjNTM1IREzFSMFMzUjEzMRMxEjZLB8Arx8sLB8%2FUR8sMgDhPx8ZAEsyMj%2B1MjIAZFkZGNkZMgBLAH0fLCwfP4MfLCwGAK8%2FagBLGRk%2FtRkZGQBLP5wAfQABv%2BcAAAEsARMAA8AEwAZAB0AIQAnAEwAsg0AACuwEM2wEy%2BwBM0BsCgvsADWsBDNsBAQsREBK7AJzbEpASuxERARErcUFRocHh8iJSQXOQCxExARErcUGBobHiAkJiQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETIREjNSMTNTMVFzM1IxMzETMRI2SwfAK8fLCwfP1EfLDIA4T8fGQBLMhkZWTIZGRjZGTIASwB9HywsHz%2BDHywsBgCvP2oAZBk%2FnDIyGRkASz%2BcAH0AAAAAAb%2FnAAABLAETAAPABMAHQAhACUAKwCbALINAAArsBDNsB4vsSIpMzOwH82wIzKwGi%2BwG82wFC%2BwJjOwFc2wJzKwEy%2BwBM0BsCwvsADWsBDNsBAQsR4BK7AUMrAhzbAhELEcASuwF82zGRccCCuwGs2wGi%2BwGc2wFxCxIgErsCXNsCUQsSoBK7ApzbApELAmzbAmL7ApELERASuwCc2xLQErALEbHxESsBc5sBQRsBg5MDEDETQ2MyEyFhURFAYjISImNyERIRc1IREjFSM1MzUDNTMVITUzFQM1MxEjEWSwfAK8fLCwfP1EfLDIA4T8fGQBLGNkY8dkASxkAchkASwB9HywsHz%2BDHywsBgCvMhk%2FtRkZMj%2BcGRkZGQBkGT%2BDAGQAAADAAQABASsBKwACwATAB0AeQCwCi%2BwD82wHS%2BwGs2wGS%2BwFs2wEy%2BwBM0BsB4vsAHWsA3NsA0QsRQBK7AazbAaELERASuwB82xHwErsRoUERK1Cg4TAxYdJBc5sBERtQkPBBIXGyQXOQCxGh0RErQHDRAAFCQXObAZEbAVObAWErMGDBEBJBc5MDESEBIkIAQSEAIEICQSEBYgNhAmIAM1NyEVIRUhFSEEoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqodZAEs%2FtQBLP7UAbYBRAESoKD%2B7v68%2Fu6goAJf%2Fqrz8wFW8%2F3%2ByGRkyGQAAAQAAAAEBKgErAALABMAIAAkAKAAsAovsA%2FNsCEvsBQzsCLNsBsvsBXNsBMvsATNAbAlL7AB1rANzbANELEUASuwIM2wGzKyIBQKK7NAIB4JK7AgELEhASuwGTKwJM2wFzKwJBCxEQErsAfNsSYBK7EgFBESswoOEwMkFzmwIRGwFjmwJBKzCQ8SBCQXOQCxIiERErQHDRAAHiQXObAbEbIXGB85OTmwFRKzBgwRASQXOTAxGAESJCAEEhACBCAkEhAWIDYQJiADESEXFSM1IxUzFSMVMzUzFaABEgFEARKgoP7u%2Frz%2B7hbzAVbz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%2F4WwAY0AS7AIUFixAQGOWbFGBitYIbAQWUuwFFJYIbCAWR2wBitcWFmwFCsAAAABUuZYrgAA%29%20format%28%27truetype%27%29%2Curl%28data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPD94bWwgdmVyc2lvbj0iMS4wIiBzdGFuZGFsb25lPSJubyI%2FPgo8IURPQ1RZUEUgc3ZnIFBVQkxJQyAiLS8vVzNDLy9EVEQgU1ZHIDEuMS8vRU4iICJodHRwOi8vd3d3LnczLm9yZy9HcmFwaGljcy9TVkcvMS4xL0RURC9zdmcxMS5kdGQiID4KPHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPgo8bWV0YWRhdGE%2BPC9tZXRhZGF0YT4KPGRlZnM%2BCjxmb250IGlkPSJnbHlwaGljb25zX2hhbGZsaW5nc3JlZ3VsYXIiIGhvcml6LWFkdi14PSIxMjAwIiA%2BCjxmb250LWZhY2UgdW5pdHMtcGVyLWVtPSIxMjAwIiBhc2NlbnQ9Ijk2MCIgZGVzY2VudD0iLTI0MCIgLz4KPG1pc3NpbmctZ2x5cGggaG9yaXotYWR2LXg9IjUwMCIgLz4KPGdseXBoIC8%2BCjxnbHlwaCAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZDsiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDAzOyIgaG9yaXotYWR2LXg9IjEzMDQiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDA0OyIgaG9yaXotYWR2LXg9IjQzNCIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeDIwMDU7IiBob3Jpei1hZHYteD0iMzI2IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAwNjsiIGhvcml6LWFkdi14PSIyMTciIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDA3OyIgaG9yaXotYWR2LXg9IjIxNyIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeDIwMDg7IiBob3Jpei1hZHYteD0iMTYzIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAwOTsiIGhvcml6LWFkdi14PSIyNjAiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDBhOyIgaG9yaXotYWR2LXg9IjcyIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAyZjsiIGhvcml6LWFkdi14PSIyNjAiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDVmOyIgaG9yaXotYWR2LXg9IjMyNiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeDIwYWM7IiBkPSJNMTAwIDUwMGwxMDAgMTAwaDExM3EwIDQ3IDUgMTAwaC0yMThsMTAwIDEwMGgxMzVxMzcgMTY3IDExMiAyNTdxMTE3IDE0MSAyOTcgMTQxcTI0MiAwIDM1NCAtMTg5cTYwIC0xMDMgNjYgLTIwOWgtMTgxcTAgNTUgLTI1LjUgOTl0LTYzLjUgNjh0LTc1IDM2LjV0LTY3IDEyLjVxLTI0IDAgLTUyLjUgLTEwdC02Mi41IC0zMnQtNjUuNSAtNjd0LTUwLjUgLTEwN2gzNzlsLTEwMCAtMTAwaC0zMDBxLTYgLTQ2IC02IC0xMDBoNDA2bC0xMDAgLTEwMCBoLTMwMHE5IC03NCAzMyAtMTMydDUyLjUgLTkxdDYyIC01NC41dDU5IC0yOXQ0Ni41IC03LjVxMjkgMCA2NiAxM3Q3NSAzN3Q2My41IDY3LjV0MjUuNSA5Ni41aDE3NHEtMzEgLTE3MiAtMTI4IC0yNzhxLTEwNyAtMTE3IC0yNzQgLTExN3EtMjA1IDAgLTMyNCAxNThxLTM2IDQ2IC02OSAxMzEuNXQtNDUgMjA1LjVoLTIxN3oiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMjEyOyIgZD0iTTIwMCA0MDBoOTAwdjMwMGgtOTAwdi0zMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjVmYzsiIGhvcml6LWFkdi14PSI1MDAiIGQ9Ik0wIDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjYwMTsiIGQ9Ik0tMTQgNDk0cTAgLTgwIDU2LjUgLTEzN3QxMzUuNSAtNTdoNzUwcTEyMCAwIDIwNSA4Ni41dDg1IDIwNy41dC04NSAyMDd0LTIwNSA4NnEtNDYgMCAtOTAgLTE0cS00NCA5NyAtMTM0LjUgMTU2LjV0LTIwMC41IDU5LjVxLTE1MiAwIC0yNjAgLTEwNy41dC0xMDggLTI2MC41cTAgLTI1IDIgLTM3cS02NiAtMTQgLTEwOC41IC02Ny41dC00Mi41IC0xMjIuNXoiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDEzOyIgZD0iTTI5IDQ1NGw0MTkgLTQyMGw4MTggODIwbC0yMTIgMjEybC02MDcgLTYwN2wtMjA2IDIwN3oiIC8%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI3OyIgZD0iTTQgNjAwcTAgMTYyIDgwIDI5OXQyMTcgMjE3dDI5OSA4MHQyOTkgLTgwdDIxNyAtMjE3dDgwIC0yOTl0LTgwIC0yOTl0LTIxNyAtMjE3dC0yOTkgLTgwdC0yOTkgODB0LTIxNyAyMTd0LTgwIDI5OXpNMTg2IDYwMHEwIC0xNzEgMTIxLjUgLTI5Mi41dDI5Mi41IC0xMjEuNXQyOTIuNSAxMjEuNXQxMjEuNSAyOTIuNXQtMTIxLjUgMjkyLjV0LTI5Mi41IDEyMS41dC0yOTIuNSAtMTIxLjV0LTEyMS41IC0yOTIuNXpNMzUwIDYwMGwyNTAgMzAwIGwyNTAgLTMwMGgtMTUwdi0zMDBoLTIwMHYzMDBoLTE1MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI4OyIgZD0iTTAgMjV2NDc1bDIwMCA3MDBoODAwbDE5OSAtNzAwbDEgLTQ3NXEwIC0xMSAtNyAtMTh0LTE4IC03aC0xMTUwcS0xMSAwIC0xOCA3dC03IDE4ek0yMDAgNTAwaDIwMGw1MCAtMjAwaDMwMGw1MCAyMDBoMjAwbC05NyA1MDBoLTYwNnoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI5OyIgZD0iTTQgNjAwcTAgMTYyIDgwIDI5OXQyMTcgMjE3dDI5OSA4MHQyOTkgLTgwdDIxNyAtMjE3dDgwIC0yOTl0LTgwIC0yOTl0LTIxNyAtMjE3dC0yOTkgLTgwdC0yOTkgODB0LTIxNyAyMTd0LTgwIDI5OXpNMTg2IDYwMHEwIC0xNzIgMTIxLjUgLTI5M3QyOTIuNSAtMTIxdDI5Mi41IDEyMXQxMjEuNSAyOTNxMCAxNzEgLTEyMS41IDI5Mi41dC0yOTIuNSAxMjEuNXQtMjkyLjUgLTEyMS41dC0xMjEuNSAtMjkyLjV6TTUwMCAzOTd2NDAxIGwyOTcgLTIwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDMwOyIgZD0iTTIzIDYwMHEwIC0xMTggNDUuNSAtMjI0LjV0MTIzIC0xODR0MTg0IC0xMjN0MjI0LjUgLTQ1LjV0MjI0LjUgNDUuNXQxODQgMTIzdDEyMyAxODR0NDUuNSAyMjQuNWgtMTUwcTAgLTE3NyAtMTI1IC0zMDJ0LTMwMiAtMTI1dC0zMDIgMTI1dC0xMjUgMzAydDEyNSAzMDJ0MzAyIDEyNXExMzYgMCAyNDYgLTgxbC0xNDYgLTE0Nmg0MDB2NDAwbC0xNDUgLTE0NXEtMTU3IDEyMiAtMzU1IDEyMnEtMTE4IDAgLTIyNC41IC00NS41dC0xODQgLTEyMyB0LTEyMyAtMTg0dC00NS41IC0yMjQuNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDMxOyIgZD0iTTIzIDYwMHEwIDExOCA0NS41IDIyNC41dDEyMyAxODR0MTg0IDEyM3QyMjQuNSA0NS41cTE5OCAwIDM1NSAtMTIybDE0NSAxNDV2LTQwMGgtNDAwbDE0NyAxNDdxLTExMiA4MCAtMjQ3IDgwcS0xNzcgMCAtMzAyIC0xMjV0LTEyNSAtMzAyaC0xNTB6TTEwMCAwdjQwMGg0MDBsLTE0NyAtMTQ3cTExMiAtODAgMjQ3IC04MHExNzcgMCAzMDIgMTI1dDEyNSAzMDJoMTUwcTAgLTExOCAtNDUuNSAtMjI0LjV0LTEyMyAtMTg0dC0xODQgLTEyMyB0LTIyNC41IC00NS41cS0xOTggMCAtMzU1IDEyMnoiIC8%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%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%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%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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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDcyOyIgZD0iTTIwMCAwbDkwMCA1NTBsLTkwMCA1NTB2LTExMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA3MzsiIGQ9Ik0yMDAgMTUwcTAgLTIxIDE0LjUgLTM1LjV0MzUuNSAtMTQuNWgyMDBxMjEgMCAzNS41IDE0LjV0MTQuNSAzNS41djgwMHEwIDIxIC0xNC41IDM1LjV0LTM1LjUgMTQuNWgtMjAwcS0yMSAwIC0zNS41IC0xNC41dC0xNC41IC0zNS41di04MDB6TTYwMCAxNTBxMCAtMjEgMTQuNSAtMzUuNXQzNS41IC0xNC41aDIwMHEyMSAwIDM1LjUgMTQuNXQxNC41IDM1LjV2ODAwcTAgMjEgLTE0LjUgMzUuNXQtMzUuNSAxNC41aC0yMDAgcS0yMSAwIC0zNS41IC0xNC41dC0xNC41IC0zNS41di04MDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA3NDsiIGQ9Ik0yMDAgMTUwcTAgLTIwIDE0LjUgLTM1dDM1LjUgLTE1aDgwMHEyMSAwIDM1LjUgMTV0MTQuNSAzNXY4MDBxMCAyMSAtMTQuNSAzNS41dC0zNS41IDE0LjVoLTgwMHEtMjEgMCAtMzUuNSAtMTQuNXQtMTQuNSAtMzUuNXYtODAweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwNzU7IiBkPSJNMCAwdjExMDBsNTAwIC00ODd2NDg3bDU2NCAtNTUwbC01NjQgLTU1MHY0ODh6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA3NjsiIGQ9Ik0wIDB2MTEwMGw1MDAgLTQ4N3Y0ODdsNTAwIC00ODd2NDM3cTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNWgxMDBxMjEgMCAzNS41IC0xNC41dDE0LjUgLTM1LjV2LTEwMDBxMCAtMjEgLTE0LjUgLTM1LjV0LTM1LjUgLTE0LjVoLTEwMHEtMjEgMCAtMzUuNSAxNC41dC0xNC41IDM1LjV2NDM4bC01MDAgLTQ4OHY0ODh6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA3NzsiIGQ9Ik0zMDAgMHYxMTAwbDUwMCAtNDg3djQzN3EwIDIxIDE0LjUgMzUuNXQzNS41IDE0LjVoMTAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di0xMDAwcTAgLTIxIC0xNC41IC0zNS41dC0zNS41IC0xNC41aC0xMDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41djQzOHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDc4OyIgZD0iTTEwMCAyNTB2MTAwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNWgxMDAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di0xMDBxMCAtMjEgLTE0LjUgLTM1LjV0LTM1LjUgLTE0LjVoLTEwMDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41ek0xMDAgNTAwaDExMDBsLTU1MCA1NjR6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA3OTsiIGQ9Ik0xODUgNTk5bDU5MiAtNTkybDI0MCAyNDBsLTM1MyAzNTNsMzUzIDM1M2wtMjQwIDI0MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDgwOyIgZD0iTTI3MiAxOTRsMzUzIDM1M2wtMzUzIDM1M2wyNDEgMjQwbDU3MiAtNTcxbDIxIC0yMmwtMSAtMXYtMWwtNTkyIC01OTF6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA4MTsiIGQ9Ik0zIDYwMHEwIDE2MiA4MCAyOTkuNXQyMTcuNSAyMTcuNXQyOTkuNSA4MHQyOTkuNSAtODB0MjE3LjUgLTIxNy41dDgwIC0yOTkuNXQtODAgLTI5OS41dC0yMTcuNSAtMjE3LjV0LTI5OS41IC04MHQtMjk5LjUgODB0LTIxNy41IDIxNy41dC04MCAyOTkuNXpNMzAwIDUwMGgyMDB2LTIwMGgyMDB2MjAwaDIwMHYyMDBoLTIwMHYyMDBoLTIwMHYtMjAwaC0yMDB2LTIwMHoiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDkxOyIgZD0iTTAgNTQ3bDYwMCA0NTN2LTMwMGg2MDB2LTMwMGgtNjAwdi0zMDF6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5MjsiIGQ9Ik0wIDQwMHYzMDBoNjAwdjMwMGw2MDAgLTQ1M2wtNjAwIC00NDh2MzAxaC02MDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5MzsiIGQ9Ik0yMDQgNjAwbDQ1MCA2MDBsNDQ0IC02MDBoLTI5OHYtNjAwaC0zMDB2NjAwaC0yOTZ6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5NDsiIGQ9Ik0xMDQgNjAwaDI5NnY2MDBoMzAwdi02MDBoMjk4bC00NDkgLTYwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDk1OyIgZD0iTTAgMjAwcTYgMTMyIDQxIDIzOC41dDEwMy41IDE5M3QxODQgMTM4dDI3MS41IDU5LjV2MjcxbDYwMCAtNDUzbC02MDAgLTQ0OHYzMDFxLTk1IC0yIC0xODMgLTIwdC0xNzAgLTUydC0xNDcgLTkyLjV0LTEwMCAtMTM1LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5NjsiIGQ9Ik0wIDB2NDAwbDEyOSAtMTI5bDI5NCAyOTRsMTQyIC0xNDJsLTI5NCAtMjk0bDEyOSAtMTI5aC00MDB6TTYzNSA3NzdsMTQyIC0xNDJsMjk0IDI5NGwxMjkgLTEyOXY0MDBoLTQwMGwxMjkgLTEyOXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDk3OyIgZD0iTTM0IDE3NmwyOTUgMjk1bC0xMjkgMTI5aDQwMHYtNDAwbC0xMjkgMTMwbC0yOTUgLTI5NXpNNjAwIDYwMHY0MDBsMTI5IC0xMjlsMjk1IDI5NWwxNDIgLTE0MWwtMjk1IC0yOTVsMTI5IC0xMzBoLTQwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTAxOyIgZD0iTTIzIDYwMHEwIDExOCA0NS41IDIyNC41dDEyMyAxODR0MTg0IDEyM3QyMjQuNSA0NS41dDIyNC41IC00NS41dDE4NCAtMTIzdDEyMyAtMTg0dDQ1LjUgLTIyNC41dC00NS41IC0yMjQuNXQtMTIzIC0xODR0LTE4NCAtMTIzdC0yMjQuNSAtNDUuNXQtMjI0LjUgNDUuNXQtMTg0IDEyM3QtMTIzIDE4NHQtNDUuNSAyMjQuNXpNNDU2IDg1MWw1OCAtMzAycTQgLTIwIDIxLjUgLTM0LjV0MzcuNSAtMTQuNWg1NHEyMCAwIDM3LjUgMTQuNSB0MjEuNSAzNC41bDU4IDMwMnE0IDIwIC04IDM0LjV0LTMyIDE0LjVoLTIwN3EtMjEgMCAtMzMgLTE0LjV0LTggLTM0LjV6TTUwMCAzMDBoMjAwdjEwMGgtMjAwdi0xMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEwMjsiIGQ9Ik0wIDgwMGgxMDB2LTIwMGg0MDB2MzAwaDIwMHYtMzAwaDQwMHYyMDBoMTAwdjEwMGgtMTExcTEgMSAxIDYuNXQtMS41IDE1dC0zLjUgMTcuNWwtMzQgMTcycS0xMSAzOSAtNDEuNSA2M3QtNjkuNSAyNHEtMzIgMCAtNjEgLTE3bC0yMzkgLTE0NHEtMjIgLTEzIC00MCAtMzVxLTE5IDI0IC00MCAzNmwtMjM4IDE0NHEtMzMgMTggLTYyIDE4cS0zOSAwIC02OS41IC0yM3QtNDAuNSAtNjFsLTM1IC0xNzdxLTIgLTggLTMgLTE4dC0xIC0xNXYtNiBoLTExMXYtMTAwek0xMDAgMGg0MDB2NDAwaC00MDB2LTQwMHpNMjAwIDkwMHEtMyAwIDE0IDQ4dDM2IDk2bDE4IDQ3bDIxMyAtMTkxaC0yODF6TTcwMCAwdjQwMGg0MDB2LTQwMGgtNDAwek03MzEgOTAwbDIwMiAxOTdxNSAtMTIgMTIgLTMyLjV0MjMgLTY0dDI1IC03MnQ3IC0yOC41aC0yNjl6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEwMzsiIGQ9Ik0wIC0yMnYxNDNsMjE2IDE5M3EtOSA1MyAtMTMgODN0LTUuNSA5NHQ5IDExM3QzOC41IDExNHQ3NCAxMjRxNDcgNjAgOTkuNSAxMDIuNXQxMDMgNjh0MTI3LjUgNDh0MTQ1LjUgMzcuNXQxODQuNSA0My41dDIyMCA1OC41cTAgLTE4OSAtMjIgLTM0M3QtNTkgLTI1OHQtODkgLTE4MS41dC0xMDguNSAtMTIwdC0xMjIgLTY4dC0xMjUuNSAtMzB0LTEyMS41IC0xLjV0LTEwNy41IDEyLjV0LTg3LjUgMTd0LTU2LjUgNy41bC05OSAtNTV6IE0yMzguNSAzMDAuNXExOS41IC02LjUgODYuNSA3Ni41cTU1IDY2IDM2NyAyMzRxNzAgMzggMTE4LjUgNjkuNXQxMDIgNzl0OTkgMTExLjV0ODYuNSAxNDhxMjIgNTAgMjQgNjB0LTYgMTlxLTcgNSAtMTcgNXQtMjYuNSAtMTQuNXQtMzMuNSAtMzkuNXEtMzUgLTUxIC0xMTMuNSAtMTA4LjV0LTEzOS41IC04OS41bC02MSAtMzJxLTM2OSAtMTk3IC00NTggLTQwMXEtNDggLTExMSAtMjguNSAtMTE3LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEwNDsiIGQ9Ik0xMTEgNDA4cTAgLTMzIDUgLTYzcTkgLTU2IDQ0IC0xMTkuNXQxMDUgLTEwOC41cTMxIC0yMSA2NCAtMTZ0NjIgMjMuNXQ1NyA0OS41dDQ4IDYxLjV0MzUgNjAuNXEzMiA2NiAzOSAxODQuNXQtMTMgMTU3LjVxNzkgLTgwIDEyMiAtMTY0dDI2IC0xODRxLTUgLTMzIC0yMC41IC02OS41dC0zNy41IC04MC41cS0xMCAtMTkgLTE0LjUgLTI5dC0xMiAtMjZ0LTkgLTIzLjV0LTMgLTE5dDIuNSAtMTUuNXQxMSAtOS41dDE5LjUgLTV0MzAuNSAyLjUgdDQyIDhxNTcgMjAgOTEgMzR0ODcuNSA0NC41dDg3IDY0dDY1LjUgODguNXQ0NyAxMjJxMzggMTcyIC00NC41IDM0MS41dC0yNDYuNSAyNzguNXEyMiAtNDQgNDMgLTEyOXEzOSAtMTU5IC0zMiAtMTU0cS0xNSAyIC0zMyA5cS03OSAzMyAtMTIwLjUgMTAwdC00NCAxNzUuNXQ0OC41IDI1Ny41cS0xMyAtOCAtMzQgLTIzLjV0LTcyLjUgLTY2LjV0LTg4LjUgLTEwNS41dC02MCAtMTM4dC04IC0xNjYuNXEyIC0xMiA4IC00MS41dDggLTQzdDYgLTM5LjUgdDMuNSAtMzkuNXQtMSAtMzMuNXQtNiAtMzEuNXQtMTMuNSAtMjR0LTIxIC0yMC41dC0zMSAtMTJxLTM4IC0xMCAtNjcgMTN0LTQwLjUgNjEuNXQtMTUgODEuNXQxMC41IDc1cS01MiAtNDYgLTgzLjUgLTEwMXQtMzkgLTEwN3QtNy41IC04NXoiIC8%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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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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTUwOyIgZD0iTTIgMzAwbDI5OCAtMzAwbDI5OCAzMDBoLTE5OHY5MDBoLTIwMHYtOTAwaC0xOTh6TTYwMiA5MDBsMjk4IDMwMGwyOTggLTMwMGgtMTk4di05MDBoLTIwMHY5MDBoLTE5OHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTUxOyIgZD0iTTIgMzAwaDE5OHY5MDBoMjAwdi05MDBoMTk4bC0yOTggLTMwMHpNNzAwIDB2MjAwaDEwMHYtMTAwaDIwMHYtMTAwaC0zMDB6TTcwMCA0MDB2MTAwaDMwMHYtMjAwaC05OXYtMTAwaC0xMDB2MTAwaDk5djEwMGgtMjAwek03MDAgNzAwdjUwMGgzMDB2LTUwMGgtMTAwdjEwMGgtMTAwdi0xMDBoLTEwMHpNODAxIDkwMGgxMDB2MjAwaC0xMDB2LTIwMHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTU0OyIgZD0iTTIgMzAwbDI5OCAtMzAwbDI5OCAzMDBoLTE5OHY5MDBoLTIwMHYtOTAwaC0xOTh6TTgwMCA0MDB2MTAwaDIwMHYtNTAwaC0xMDB2NDAwaC0xMDB6TTgwMCA4MDB2NDAwaDMwMHYtNTAwaC0xMDB2MTAwaC0yMDB6TTkwMSA5MDBoMTAwdjIwMGgtMTAwdi0yMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE1NTsiIGQ9Ik0yIDMwMGwyOTggLTMwMGwyOTggMzAwaC0xOTh2OTAwaC0yMDB2LTkwMGgtMTk4ek03MDAgMTAwdjIwMGg1MDB2LTIwMGgtNTAwek03MDAgNDAwdjIwMGg0MDB2LTIwMGgtNDAwek03MDAgNzAwdjIwMGgzMDB2LTIwMGgtMzAwek03MDAgMTAwMHYyMDBoMjAwdi0yMDBoLTIwMHoiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTY3OyIgZD0iTTAgMHYyNzVxMCAxMSA3IDE4dDE4IDdoMTA0OHExMSAwIDE5IC03LjV0OCAtMTcuNXYtMjc1aC0xMTAwek0xMDAgNzAwaDMwMHYtMzAwaDMwMHYzMDBoMjk1bC00NDUgNTAwek05MDAgMTUwaDEwMHY1MGgtMTAwdi01MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTY4OyIgZD0iTTAgMHYyNzVxMCAxMSA3IDE4dDE4IDdoMTA0OHExMSAwIDE5IC03LjV0OCAtMTcuNXYtMjc1aC0xMTAwek0xMDAgNzA1bDMwNSAtMzA1bDU5NiA1OTZsLTE1NCAxNTVsLTQ0MiAtNDQybC0xNTAgMTUxek05MDAgMTUwaDEwMHY1MGgtMTAwdi01MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTY5OyIgZD0iTTAgMHYyNzVxMCAxMSA3IDE4dDE4IDdoMTA0OHExMSAwIDE5IC03LjV0OCAtMTcuNXYtMjc1aC0xMTAwek0xMDAgOTg4bDk3IC05OGwyMTIgMjEzbC05NyA5N3pNMjAwIDQwMGw2OTcgMWwzIDY5OWwtMjUwIC0yMzlsLTE0OSAxNDlsLTIxMiAtMjEybDE0OSAtMTQ5ek05MDAgMTUwaDEwMHY1MGgtMTAwdi01MHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTczOyIgZD0iTTAgMTUwdjEwMDBxMCAyMCAxNC41IDM1dDM1LjUgMTVoMjUwdi0zMDBoNTAwdjMwMGgxMDBsMjAwIC0yMDB2LTIxOGwtMjc2IC0yNzVsLTEyMCAxMjBsLTEyNiAtMTI3aC0zNzh2LTQwMGgtMTUwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXpNNTgxIDMwNmwxMjMgMTIzbDEyMCAtMTIwbDM1MyAzNTJsMTIzIC0xMjNsLTQ3NSAtNDc2ek02MDAgMTAwMGgxMDB2MjAwaC0xMDB2LTIwMHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTg0OyIgZD0iTTEwMCAwdjEwMGgxMTAwdi0xMDBoLTExMDB6TTE3NSAyMDBoOTUwbC0xMjUgMTUwdjI1MGwxMDAgMTAwdjQwMGgtMTAwdi0yMDBoLTEwMHYyMDBoLTIwMHYtMjAwaC0xMDB2MjAwaC0yMDB2LTIwMGgtMTAwdjIwMGgtMTAwdi00MDBsMTAwIC0xMDB2LTI1MHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTg4OyIgZD0iTS0xMDAgMzAwdjUwMHEwIDEyNCA4OCAyMTJ0MjEyIDg4aDcwMHExMjQgMCAyMTIgLTg4dDg4IC0yMTJ2LTUwMHEwIC0xMjQgLTg4IC0yMTJ0LTIxMiAtODhoLTcwMHEtMTI0IDAgLTIxMiA4OHQtODggMjEyek0xMDAgMjAwaDkwMHY3MDBoLTkwMHYtNzAwek0yMDAgMzAwaDMwMHYxMDBoLTIwMHYzMDBoMjAwdjEwMGgtMzAwdi01MDB6TTYwMCAzMDBoMzAwdjEwMGgtMjAwdjMwMGgyMDB2MTAwaC0zMDB2LTUwMHoiIC8%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%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<div id="header">
<h1 class="title">The Analytics Edge - Unit 5 :<br /> Text Analytics on Enron Emails</h1>
<h1 class="subtitle">Reproducible notes following lecture slides and videos</h1>
<h4 class="author"><em>Giovanni Fossati</em></h4>
</div>
<p>[ <a href="https://github.com/pedrosan/TheAnalyticsEdge">source files available on GitHub</a> ]</p>
<div id="preliminaries" class="section level2">
<h2>PRELIMINARIES</h2>
<p>Libraries needed for data processing and plotting:</p>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">library</span>(<span class="st">"tm"</span>)
<span class="kw">library</span>(<span class="st">"SnowballC"</span>)
<span class="kw">library</span>(<span class="st">"caTools"</span>)
<span class="kw">library</span>(<span class="st">"rpart"</span>)
<span class="kw">library</span>(<span class="st">"rpart.plot"</span>)
<span class="kw">library</span>(<span class="st">"ROCR"</span>)</code></pre>
</div>
<div id="introduction" class="section level2">
<h2>INTRODUCTION</h2>
<p>We will be looking into how to use the text of emails in the inboxes of Enron executives to predict if those emails are relevant to an investigation into the company.</p>
<p>We will be extracting word frequencies from the text of the documents, and then integrating those frequencies into predictive models.</p>
<p>We are going to talk about <strong>predictive coding</strong> – an emerging use of text analytics in the area of criminal justice.</p>
<p>The case we will consider concerns Enron, a US energy company based out of Houston, Texas that was involved in a number of electricity production and distribution markets and that collapsed in the early 2000’s after widespread account fraud was exposed. To date Enron remains a stunning symbol of corporate corruption.</p>
<p>While Enron’s collapse stemmed largely from accounting fraud, the firm also faced sanctions for its involvement in the California electricity crisis.<br />In 2000 to 2001, California experienced a number of power blackouts, despite having sufficient generating capacity.<br />It later surfaced that Enron played a key role in this energy crisis by artificially reducing power supply to spike prices and then making a profit from this market instability.</p>
<p>The <em>Federal Energy Regulatory Commission</em>, or <em>FERC</em>, investigated Enron’s involvement in the crisis, and its investigation eventually led to a $1.52 billion settlement.<br />FERC’s investigation into Enron will be the topic of today’s recitation.</p>
<div id="the-ediscovery-problem" class="section level3">
<h3>The <em>eDiscovery</em> Problem</h3>
<p>Enron was a huge company, and its corporate servers contained millions of emails and other electronic files. Sifting through these documents to find the ones relevant to an investigation is no simple task.</p>
<p>In law, this electronic document retrieval process is called the <strong>eDiscovery problem</strong>, and <strong>relevant files</strong> are called <strong>responsive documents</strong>.<br />Traditionally, the eDiscovery problem has been solved by using keyword search. In our case, perhaps, searching for phrases like “<em>electricity bid</em>” or “<em>energy schedule</em>”, followed by an expensive and time-consuming manual review process, in which attorneys read through thousands of documents to determine which ones are responsive.</p>
</div>
<div id="predictive-coding" class="section level3">
<h3>Predictive Coding</h3>
<p><strong>Predictive coding</strong> is a new technique in which attorneys manually label some documents and then use text analytics models trained on the manually labeled documents to predict which of the remaining documents are responsive.</p>
</div>
<div id="the-data" class="section level3">
<h3>The Data</h3>
<p>As part of its investigation, the <em>FERC</em> released hundreds of thousands of emails from top executives at Enron creating the <strong>largest publicly available set of emails today</strong>.<br />We will use this data set called the <em>Enron Corpus</em> to perform predictive coding in this recitation.</p>
<p>The data set contains just two fields:</p>
<ul>
<li><strong>email</strong>: the text of the email in question,</li>
<li><strong>responsive</strong>: a binary (0/1) variable telling whether the email relates to energy schedules or bids.</li>
</ul>
<p>The labels for these emails were made by attorneys as part of the 2010 text retrieval conference legal track, a predictive coding competition.</p>
</div>
</div>
<div id="loading-the-data" class="section level2">
<h2>LOADING THE DATA</h2>
<pre class="sourceCode r"><code class="sourceCode r">emails <-<span class="st"> </span><span class="kw">read.csv</span>(<span class="st">"data/energy_bids.csv.gz"</span>, <span class="dt">stringsAsFactors =</span> <span class="ot">FALSE</span>)</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">str</span>(emails)
## 'data.frame': 855 obs. of 2 variables:
## $ email : chr "North America's integrated electricity market requires cooperation on environmental policies Commission for Environmental Coope"| __truncated__ "FYI -----Original Message----- From: \t\"Ginny Feliciano\" <[email protected]>@ENRON [mailto:IMCEANOTES-+22Ginny+20Felic"| __truncated__ "14:13:53 Synchronizing Mailbox 'Kean, Steven J.' 14:13:53 Synchronizing Hierarchy 14:13:53 Synchronizing Favorites 14:13:53 Syn"| __truncated__ "^ ----- Forwarded by Steven J Kean/NA/Enron on 03/02/2001 12:27 PM ----- [email protected] Sent by: Carol_Benter@mck"| __truncated__ ...
## $ responsive: int 0 1 0 1 0 0 1 0 0 0 ...</code></pre>
<p>Let’s look at a few examples (using the <code>strwrap()</code> function for easier-to-read formatting):</p>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">strwrap</span>(emails$email[<span class="dv">1</span>])
## [1] "North America's integrated electricity market requires cooperation on environmental"
## [2] "policies Commission for Environmental Cooperation releases working paper on North"
## [3] "America's electricity market Montreal, 27 November 2001 -- The North American Commission"
## [4] "for Environmental Cooperation (CEC) is releasing a working paper highlighting the trend"
## [5] "towards increasing trade, competition and cross-border investment in electricity between"
## [6] "Canada, Mexico and the United States. It is hoped that the working paper, Environmental"
## [7] "Challenges and Opportunities in the Evolving North American Electricity Market, will"
## [8] "stimulate public discussion around a CEC symposium of the same title about the need to"
## [9] "coordinate environmental policies trinationally as a North America-wide electricity"
## [10] "market develops. The CEC symposium will take place in San Diego on 29-30 November, and"
## [11] "will bring together leading experts from industry, academia, NGOs and the governments of"
## [12] "Canada, Mexico and the United States to consider the impact of the evolving continental"
## [13] "electricity market on human health and the environment. \"Our goal [with the working paper"
## [14] "and the symposium] is to highlight key environmental issues that must be addressed as the"
## [15] "electricity markets in North America become more and more integrated,\" said Janine"
## [16] "Ferretti, executive director of the CEC. \"We want to stimulate discussion around the"
## [17] "important policy questions being raised so that countries can cooperate in their approach"
## [18] "to energy and the environment.\" The CEC, an international organization created under an"
## [19] "environmental side agreement to NAFTA known as the North American Agreement on"
## [20] "Environmental Cooperation, was established to address regional environmental concerns,"
## [21] "help prevent potential trade and environmental conflicts, and promote the effective"
## [22] "enforcement of environmental law. The CEC Secretariat believes that greater North"
## [23] "American cooperation on environmental policies regarding the continental electricity"
## [24] "market is necessary to: * protect air quality and mitigate climate change, * minimize the"
## [25] "possibility of environment-based trade disputes, * ensure a dependable supply of"
## [26] "reasonably priced electricity across North America * avoid creation of pollution havens,"
## [27] "and * ensure local and national environmental measures remain effective. The Changing"
## [28] "Market The working paper profiles the rapid changing North American electricity market."
## [29] "For example, in 2001, the US is projected to export 13.1 thousand gigawatt-hours (GWh) of"
## [30] "electricity to Canada and Mexico. By 2007, this number is projected to grow to 16.9"
## [31] "thousand GWh of electricity. \"Over the past few decades, the North American electricity"
## [32] "market has developed into a complex array of cross-border transactions and"
## [33] "relationships,\" said Phil Sharp, former US congressman and chairman of the CEC's"
## [34] "Electricity Advisory Board. \"We need to achieve this new level of cooperation in our"
## [35] "environmental approaches as well.\" The Environmental Profile of the Electricity Sector"
## [36] "The electricity sector is the single largest source of nationally reported toxins in the"
## [37] "United States and Canada and a large source in Mexico. In the US, the electricity sector"
## [38] "emits approximately 25 percent of all NOx emissions, roughly 35 percent of all CO2"
## [39] "emissions, 25 percent of all mercury emissions and almost 70 percent of SO2 emissions."
## [40] "These emissions have a large impact on airsheds, watersheds and migratory species"
## [41] "corridors that are often shared between the three North American countries. \"We want to"
## [42] "discuss the possible outcomes from greater efforts to coordinate federal, state or"
## [43] "provincial environmental laws and policies that relate to the electricity sector,\" said"
## [44] "Ferretti. \"How can we develop more compatible environmental approaches to help make"
## [45] "domestic environmental policies more effective?\" The Effects of an Integrated Electricity"
## [46] "Market One key issue raised in the paper is the effect of market integration on the"
## [47] "competitiveness of particular fuels such as coal, natural gas or renewables. Fuel choice"
## [48] "largely determines environmental impacts from a specific facility, along with pollution"
## [49] "control technologies, performance standards and regulations. The paper highlights other"
## [50] "impacts of a highly competitive market as well. For example, concerns about so called"
## [51] "\"pollution havens\" arise when significant differences in environmental laws or"
## [52] "enforcement practices induce power companies to locate their operations in jurisdictions"
## [53] "with lower standards. \"The CEC Secretariat is exploring what additional environmental"
## [54] "policies will work in this restructured market and how these policies can be adapted to"
## [55] "ensure that they enhance competitiveness and benefit the entire region,\" said Sharp."
## [56] "Because trade rules and policy measures directly influence the variables that drive a"
## [57] "successfully integrated North American electricity market, the working paper also"
## [58] "addresses fuel choice, technology, pollution control strategies and subsidies. The CEC"
## [59] "will use the information gathered during the discussion period to develop a final report"
## [60] "that will be submitted to the Council in early 2002. For more information or to view the"
## [61] "live video webcast of the symposium, please go to: http://www.cec.org/electricity. You"
## [62] "may download the working paper and other supporting documents from:"
## [63] "http://www.cec.org/programs_projects/other_initiatives/electricity/docs.cfm?varlan=english."
## [64] "Commission for Environmental Cooperation 393, rue St-Jacques Ouest, Bureau 200 Montréal"
## [65] "(Québec) Canada H2Y 1N9 Tel: (514) 350-4300; Fax: (514) 350-4314 E-mail: [email protected]"
## [66] "***********"</code></pre>
<p>We can see just by parsing through the first couple of lines that this is an email about a new working paper, “<em>The Environmental Challenges and Opportunities in the Evolving North American Electricity Market</em>”, released by the Commission for Environmental Cooperation, or CEC.<br />While this certainly deals with electricity markets, it doesn’t have to do with energy schedules or bids, hence it is not <em>responsive</em> to our query. If we look at the value in the <code>responsive</code> variable for this email:</p>
<pre class="sourceCode r"><code class="sourceCode r">emails$responsive[<span class="dv">1</span>]
## [1] 0</code></pre>
<p>we see that its value is <strong>0</strong>, as expected.</p>
<p>Let’s check the second email:</p>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">strwrap</span>(emails$email[<span class="dv">2</span>])
## [1] "FYI -----Original Message----- From: \"Ginny Feliciano\" <[email protected]>@ENRON"
## [2] "[mailto:IMCEANOTES-+22Ginny+20Feliciano+22+20+3Cgfeliciano+40earthlink+2Enet+3E+40ENRON@ENRON.com]"
## [3] "Sent: Thursday, June 28, 2001 3:40 PM To: Silvia Woodard; Paul Runci; Katrin Thomas; John"
## [4] "A. Riggs; Kurt E. Yeager; Gregg Ward; Philip K. Verleger; Admiral Richard H. Truly; Susan"
## [5] "Tomasky; Tsutomu Toichi; Susan F. Tierney; John A. Strom; Gerald M. Stokes; Kevin"
## [6] "Stoffer; Edward M. Stern; Irwin M. Stelzer; Hoff Stauffer; Steven R. Spencer; Robert"
## [7] "Smart; Bernie Schroeder; George A. Schreiber, Jr.; Robert N. Schock; James R."
## [8] "Schlesinger; Roger W. Sant; John W. Rowe; James E. Rogers; John F. Riordan; James"
## [9] "Ragland; Frank J. Puzio; Tony Prophet; Robert Priddle; Michael Price; John B. Phillips;"
## [10] "Robert Perciasepe; D. Louis Peoples; Robert Nordhaus; Walker Nolan; William A. Nitze;"
## [11] "Kazutoshi Muramatsu; Ernest J. Moniz; Nancy C. Mohn; Callum McCarthy; Thomas R. Mason;"
## [12] "Edward P. Martin; Jan W. Mares; James K. Malernee; S. David Freeman; Edwin Lupberger;"
## [13] "Amory B. Lovins; Lynn LeMaster; Hoesung Lee; Lay, Kenneth; Lester Lave; Wilfrid L. Kohl;"
## [14] "Soo Kyung Kim; Melanie Kenderdine; Paul L. Joskow; Ira H. Jolles; Frederick E. John; John"
## [15] "Jimison; William W. Hogan; Robert A. Hefner, III; James K. Gray; Craig G. Goodman;"
## [16] "Charles F. Goff, Jr.; Jerry D. Geist; Fritz Gautschi; Larry G. Garberding; Roger Gale;"
## [17] "William Fulkerson; Stephen E. Frank; George Frampton; Juan Eibenschutz; Theodore R. Eck;"
## [18] "Congressman John Dingell; Brian N. Dickie; William E. Dickenson; Etienne Deffarges;"
## [19] "Wilfried Czernie; Loren C. Cox; Anne Cleary; Bernard H. Cherry; Red Cavaney; Ralph"
## [20] "Cavanagh; Thomas R. Casten; Peter Bradford; Peter D. Blair; Ellen Berman; Roger A."
## [21] "Berliner; Michael L. Beatty; Vicky A. Bailey; Merribel S. Ayres; Catherine G. Abbott"
## [22] "Subject: Energy Deregulation - California State Auditor Report Attached is my report"
## [23] "prepared on behalf of the California State Auditor. I look forward to seeing you at The"
## [24] "Aspen Institute Energy Policy Forum. Charles J. Cicchetti Pacific Economics Group, LLC -"
## [25] "ca report new.pdf ***********"</code></pre>
<p>The original message is actually very short, it just says <em>FYI</em>, and most of it is a forwarded message. We have the list of recipients, and down at the very bottom is the message itself. “Attached is my report prepared on behalf of the California State auditor.” There is also an attached report.<br />Our data set contains just the text of the emails and not the text of the attachments. It turns out, as we might expect, that this attachment had to do with Enron’s electricity bids in California, and therefore this email is <em>responsive</em> to our query.<br />We can check this in the value of the <code>responsive</code> variable.</p>
<pre class="sourceCode r"><code class="sourceCode r">emails$responsive[<span class="dv">2</span>]
## [1] 1</code></pre>
<p>We see that that it is a <strong>1</strong>.</p>
<p>Let’s look at the breakdown of the number of emails that are responsive to our query.</p>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">table</span>(emails$responsive)
##
## 0 1
## 716 139</code></pre>
<p>We see that the data set is unbalanced, with a relatively small proportion of emails responsive to the query. This is typical in predictive coding problems.</p>
</div>
<div id="creating-a-corpus" class="section level2">
<h2>CREATING A CORPUS</h2>
<p>We will need to convert our tweets to a corpus for pre-processing. Various function in the <code>tm</code> package can be used to create a corpus in many different ways.<br />We will create it from the <code>tweet</code> column of our data frame using two functions, <code>Corpus()</code> and <code>VectorSource()</code>. We feed to this latter the <code>Tweets</code> <em>variable</em> of the <code>tweets</code> <em>data frame</em>.</p>
<pre class="sourceCode r"><code class="sourceCode r">corpus <-<span class="st"> </span><span class="kw">Corpus</span>(<span class="kw">VectorSource</span>(emails$email))</code></pre>
<p>Let’s take a look at corpus:</p>
<pre class="sourceCode r"><code class="sourceCode r">corpus
## <<VCorpus (documents: 855, metadata (corpus/indexed): 0/0)>></code></pre>
<div id="converting-text-to-lower-case" class="section level3">
<h3>Converting text to <em>lower case</em></h3>
<p>We use the <code>tm_map()</code> function which takes as</p>
<ul>
<li>its first argument the name of a <strong>corpus</strong> and</li>
<li>as second argument a <strong>function performing the transformation</strong> that we want to apply to the text.</li>
</ul>
<p>To transform all text <em>to lower case</em>:</p>
<pre class="sourceCode r"><code class="sourceCode r">corpus <-<span class="st"> </span><span class="kw">tm_map</span>(corpus, tolower)</code></pre>
<pre class="sourceCode r"><code class="sourceCode r">corpus <-<span class="st"> </span><span class="kw">tm_map</span>(corpus, PlainTextDocument)</code></pre>
</div>
<div id="removing-punctuation" class="section level3">
<h3>Removing punctuation</h3>
<pre class="sourceCode r"><code class="sourceCode r">corpus <-<span class="st"> </span><span class="kw">tm_map</span>(corpus, removePunctuation)</code></pre>
</div>
<div id="removing-stop-words" class="section level3">
<h3>Removing <em>stop words</em></h3>
<p>Removing words can be done with the <code>removeWords</code> argument to the <code>tm_map()</code> function, with an extra argument, <em>i.e.</em> what the stop words are that we want to remove, for which we simply use the list for english that is provided by the <code>tm</code> package.</p>
<p>We will remove all of these English stop words, but we will also remove the word “<em>apple</em>” since all of these tweets have the word “<em>apple</em>” and it probably won’t be very useful in our prediction problem.</p>
<pre class="sourceCode r"><code class="sourceCode r">corpus <-<span class="st"> </span><span class="kw">tm_map</span>(corpus, removeWords, <span class="kw">stopwords</span>(<span class="st">"english"</span>))</code></pre>
</div>
<div id="stemming" class="section level3">
<h3>Stemming</h3>
<p>Lastly, we want to stem our document with the <code>stemDocument</code> argument.</p>
<pre class="sourceCode r"><code class="sourceCode r">corpus <-<span class="st"> </span><span class="kw">tm_map</span>(corpus, stemDocument)</code></pre>
<p>Now that we have gone through those four preprocessing steps, we can take a second look at the first email in the corpus.</p>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">strwrap</span>(corpus[[<span class="dv">1</span>]])
## [1] "north america integr electr market requir cooper environment polici commiss environment"
## [2] "cooper releas work paper north america electr market montreal 27 novemb 2001 north"
## [3] "american commiss environment cooper cec releas work paper highlight trend toward increas"
## [4] "trade competit crossbord invest electr canada mexico unit state hope work paper"
## [5] "environment challeng opportun evolv north american electr market will stimul public"
## [6] "discuss around cec symposium titl need coordin environment polici trinat north americawid"
## [7] "electr market develop cec symposium will take place san diego 2930 novemb will bring"
## [8] "togeth lead expert industri academia ngos govern canada mexico unit state consid impact"
## [9] "evolv continent electr market human health environ goal work paper symposium highlight"
## [10] "key environment issu must address electr market north america becom integr said janin"
## [11] "ferretti execut director cec want stimul discuss around import polici question rais"
## [12] "countri can cooper approach energi environ cec intern organ creat environment side"
## [13] "agreement nafta known north american agreement environment cooper establish address"
## [14] "region environment concern help prevent potenti trade environment conflict promot effect"
## [15] "enforc environment law cec secretariat believ greater north american cooper environment"
## [16] "polici regard continent electr market necessari protect air qualiti mitig climat chang"
## [17] "minim possibl environmentbas trade disput ensur depend suppli reason price electr across"
## [18] "north america avoid creation pollut haven ensur local nation environment measur remain"
## [19] "effect chang market work paper profil rapid chang north american electr market exampl"
## [20] "2001 us project export 131 thousand gigawatthour gwh electr canada mexico 2007 number"
## [21] "project grow 169 thousand gwh electr past decad north american electr market develop"
## [22] "complex array crossbord transact relationship said phil sharp former us congressman"
## [23] "chairman cec electr advisori board need achiev new level cooper environment approach well"
## [24] "environment profil electr sector electr sector singl largest sourc nation report toxin"
## [25] "unit state canada larg sourc mexico us electr sector emit approxim 25 percent nox emiss"
## [26] "rough 35 percent co2 emiss 25 percent mercuri emiss almost 70 percent so2 emiss emiss"
## [27] "larg impact airsh watersh migratori speci corridor often share three north american"
## [28] "countri want discuss possibl outcom greater effort coordin feder state provinci"
## [29] "environment law polici relat electr sector said ferretti can develop compat environment"
## [30] "approach help make domest environment polici effect effect integr electr market one key"
## [31] "issu rais paper effect market integr competit particular fuel coal natur gas renew fuel"
## [32] "choic larg determin environment impact specif facil along pollut control technolog"
## [33] "perform standard regul paper highlight impact high competit market well exampl concern"
## [34] "call pollut haven aris signific differ environment law enforc practic induc power compani"
## [35] "locat oper jurisdict lower standard cec secretariat explor addit environment polici will"
## [36] "work restructur market polici can adapt ensur enhanc competit benefit entir region said"
## [37] "sharp trade rule polici measur direct influenc variabl drive success integr north"
## [38] "american electr market work paper also address fuel choic technolog pollut control"
## [39] "strategi subsidi cec will use inform gather discuss period develop final report will"
## [40] "submit council earli 2002 inform view live video webcast symposium pleas go"
## [41] "httpwwwcecorgelectr may download work paper support document"
## [42] "httpwwwcecorgprogramsprojectsotherinitiativeselectricitydocscfmvarlanenglish commiss"
## [43] "environment cooper 393 rue stjacqu ouest bureau 200 montréal québec canada h2i 1n9 tel"
## [44] "514 3504300 fax 514 3504314 email infoccemtlorg"</code></pre>
<p>It looks quite a bit different now. It is a lot harder to read now that we removed all the stop words and punctuation and word stems, but now the emails in this corpus are ready for our machine learning algorithms.</p>
</div>
</div>
<div id="bag-of-words" class="section level2">
<h2>BAG OF WORDS</h2>
<div id="create-a-document-term-matrix" class="section level3">
<h3>Create a <em>Document Term Matrix</em></h3>
<p>We are now ready to extract the <strong>word frequencies</strong> to be used in our prediction problem. The <code>tm</code> package provides a function called <code>DocumentTermMatrix()</code> that generates a <strong>matrix</strong> where:</p>
<ul>
<li>the <strong>rows</strong> correspond to <strong>documents</strong>, in our case tweets, and</li>
<li>the <strong>columns</strong> correspond to <strong>words</strong> in those tweets.</li>
</ul>
<p>The values in the matrix are the number of times that word appears in each document.</p>
<pre class="sourceCode r"><code class="sourceCode r">DTM <-<span class="st"> </span><span class="kw">DocumentTermMatrix</span>(corpus)</code></pre>
<pre class="sourceCode r"><code class="sourceCode r">DTM
## <<DocumentTermMatrix (documents: 855, terms: 21735)>>
## Non-/sparse entries: 102511/18480914
## Sparsity : 99%
## Maximal term length: 113
## Weighting : term frequency (tf)</code></pre>
<p>what we can see is that even though we have only <strong>855</strong> emails in the corpus, we have over <strong>21735</strong> terms that showed up at least once, which is clearly too many variables for the number of observations we have.</p>
<p>So we want to remove the terms that don’t appear too often in our data set.</p>
</div>
<div id="remove-sparse-terms" class="section level3">
<h3>Remove sparse terms</h3>
<p>Therefore let’s remove some terms that don’t appear very often.</p>
<pre class="sourceCode r"><code class="sourceCode r">sparse_DTM <-<span class="st"> </span><span class="kw">removeSparseTerms</span>(DTM, <span class="fl">0.97</span>)</code></pre>
<p>Now we can take a look at the summary statistics for the document-term matrix:</p>
<pre class="sourceCode r"><code class="sourceCode r">sparse_DTM
## <<DocumentTermMatrix (documents: 855, terms: 788)>>
## Non-/sparse entries: 51644/622096
## Sparsity : 92%
## Maximal term length: 19
## Weighting : term frequency (tf)</code></pre>
<p>We can see that we have decreased the number of terms to <strong>788</strong>, which is a much more reasonable number.</p>
</div>
<div id="creating-a-data-frame-from-the-dtm" class="section level3">
<h3>Creating a Data Frame from the <em>DTM</em></h3>
<p>Let’s convert the sparse matrix into a data frame that we will be able to use for our predictive models.</p>
<pre class="sourceCode r"><code class="sourceCode r">labeledTerms <-<span class="st"> </span><span class="kw">as.data.frame</span>(<span class="kw">as.matrix</span>(sparse_DTM))</code></pre>
<p>To make all variable names <em>R-friendly</em> use:</p>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">colnames</span>(labeledTerms) <-<span class="st"> </span><span class="kw">make.names</span>(<span class="kw">colnames</span>(labeledTerms))</code></pre>
<p>We also have to add back-in the outcome variable</p>
<pre class="sourceCode r"><code class="sourceCode r">labeledTerms$responsive <-<span class="st"> </span>emails$responsive</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="co"># str(labeledTerms)</span></code></pre>
<p>The data frame contains an awful lot of variables, <strong>789</strong> in total, of which <strong>788</strong> are the frequencies of various words in the emails, and the last one is <code>responsive</code>, <em>i.e.</em> the outcome variable.</p>
</div>
<div id="split-data-in-trainingtesting-sets" class="section level3">
<h3>Split data in training/testing sets</h3>
<p>Lastly, let’s split our data into a training set and a testing set, putting <strong>70%</strong> of the data in the <strong>training</strong> set.</p>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">set.seed</span>(<span class="dv">144</span>)
split <-<span class="st"> </span><span class="kw">sample.split</span>(labeledTerms$responsive, <span class="dt">SplitRatio =</span> <span class="fl">0.7</span>)
train <-<span class="st"> </span><span class="kw">subset</span>(labeledTerms, split ==<span class="st"> </span><span class="ot">TRUE</span>)
test <-<span class="st"> </span><span class="kw">subset</span>(labeledTerms, split ==<span class="st"> </span><span class="ot">FALSE</span>)</code></pre>
</div>
</div>
<div id="build-a-cart-model" class="section level2">
<h2>BUILD A CART MODEL</h2>
<p>Now we are ready to build the model, and we will build a simple <em>CART model</em> using the <strong>default parameters</strong>. A random forest would be another good choice from our toolset.</p>
<pre class="sourceCode r"><code class="sourceCode r">emailCART <-<span class="st"> </span><span class="kw">rpart</span>(responsive ~<span class="st"> </span>. , <span class="dt">data =</span> train, <span class="dt">method =</span> <span class="st">"class"</span>)</code></pre>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">prp</span>(emailCART)</code></pre>
<p><img 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" title alt width="500" style="display: block; margin: auto auto auto 0;" /> We see at the very top is the word <em>California</em>.</p>
<ul>
<li>If <code>californ</code> appears at least twice in an email, we are going to take the right path and predict that a document is <strong>responsive</strong>.<br /> It is somewhat unsurprising that California shows up, because we know that Enron had a heavy involvement in the California energy markets.</li>
<li>Further down the tree, we see a number of other terms that we could plausibly expect to be related to energy bids and energy scheduling, like <code>system</code>, <code>demand</code>, <code>bid</code>, and <code>gas</code>.</li>
<li>Down at the bottom is <code>jeff</code>, which is perhaps a reference to Enron’s CEO, Jeff Skillings, who ended up actually being jailed for his involvement in the fraud at the company.</li>
</ul>
<div id="out-of-sample-performance-of-the-model" class="section level3">
<h3>Out-of-Sample Performance of the Model</h3>
<p>Now that we have trained a model, we need to evaluate it on the test set.<br />We build an object <code>predictCART</code> that has the predicted probabilities for each class from our CART model, by using the <code>predict()</code> function on the model <code>emailCART</code> and the test data with <code>newdata = test</code>.</p>
<pre class="sourceCode r"><code class="sourceCode r">predictCART <-<span class="st"> </span><span class="kw">predict</span>(emailCART, <span class="dt">newdata =</span> test)</code></pre>
<p>This new object gives us the predicted probabilities on the test set. We can look at the first 10 rows with</p>
<pre class="sourceCode r"><code class="sourceCode r">predictCART[<span class="dv">1</span>:<span class="dv">10</span>, ]
## 0 1
## character(0) 0.2156863 0.78431373
## character(0).1 0.9557522 0.04424779
## character(0).2 0.9557522 0.04424779
## character(0).3 0.8125000 0.18750000
## character(0).4 0.4000000 0.60000000
## character(0).5 0.9557522 0.04424779
## character(0).6 0.9557522 0.04424779
## character(0).7 0.9557522 0.04424779
## character(0).8 0.1250000 0.87500000
## character(0).9 0.1250000 0.87500000</code></pre>
<ul>
<li>The <strong>first</strong> column is the predicted probability of the document being <strong>non-responsive</strong>.</li>
<li>The <strong>second</strong> column is the predicted probability of the document being <strong>responsive</strong>.</li>
<li>They sum to 1.</li>
</ul>
<p>In our case we are interested in the predicted probability of the document being responsive and it would be convenient to handle that as a separated variable.</p>
<pre class="sourceCode r"><code class="sourceCode r">predictCART.prob <-<span class="st"> </span>predictCART[ , <span class="dv">2</span>]</code></pre>
<p>This new object contains our test set predicted probabilities.</p>
<p>We are interested in the <strong>accuracy</strong> of our model on the test set, <em>i.e.</em> out-of-sample. First we compute the <em>confusion matrix</em>:</p>
<pre class="sourceCode r"><code class="sourceCode r">cmat_CART <-<span class="st"> </span><span class="kw">table</span>(test$responsive, predictCART.prob >=<span class="st"> </span><span class="fl">0.5</span>)
cmat_CART
##
## FALSE TRUE
## 0 195 20
## 1 17 25
accu_CART <-<span class="st"> </span>(cmat_CART[<span class="dv">1</span>,<span class="dv">1</span>] +<span class="st"> </span>cmat_CART[<span class="dv">2</span>,<span class="dv">2</span>])/<span class="kw">sum</span>(cmat_CART)</code></pre>
<ul>
<li><strong>Overall accuracy</strong> of this <em>CART</em> model is <strong>0.856</strong><br /></li>
<li><strong>Sensitivity</strong> = <strong>TP rate</strong> = 25 / 42 = <strong>0.595</strong></li>
<li><strong>Specificity</strong> = <strong>(1 - FP rate)</strong> = 195 / 215 = <strong>0.907</strong></li>
<li><strong>FP rate</strong> = 20 / 215 = <strong>0.093</strong></li>
<li><strong>FN rate</strong> = 17 / 42 = <strong>0.405</strong></li>
</ul>
</div>
<div id="comparison-with-the-baseline-model" class="section level3">
<h3>Comparison with the <em>baseline model</em></h3>
<p>Let’s compare this to a simple baseline model that <strong>always predicts non-responsive</strong> (<em>i.e.</em> the most common value of the dependent variable).<br />To compute the accuracy of the baseline model, let’s make a table of just the outcome variable <code>responsive</code>.</p>
<pre class="sourceCode r"><code class="sourceCode r">cmat_baseline <-<span class="st"> </span><span class="kw">table</span>(test$responsive)
cmat_baseline
##
## 0 1
## 215 42
accu_baseline <-<span class="st"> </span><span class="kw">max</span>(cmat_baseline)/<span class="kw">sum</span>(cmat_baseline)</code></pre>
<p>The accuracy of the baseline model is then <strong>0.8366</strong>.<br />We see just a small improvement in accuracy using the CART model, which is a common case in unbalanced data sets.</p>
<p>However, as in most document retrieval applications, there are <strong>uneven costs for different types of errors</strong> here.<br />Typically, a human will still have to manually review all of the predicted responsive documents to make sure they are actually responsive.<br />Therefore:</p>
<ul>
<li>If we have a <strong>false positive</strong>, <em>i.e.</em> a non-responsive document labeled as responsive, the mistake translates to a bit of additional work in the manual review process but no further harm, since the manual review process will remove this erroneous result.<br /></li>
<li>On the other hand, if we have a <strong>false negative</strong>, <em>i.e.</em> a responsive document labeled as non-responsive by our model, we will miss the document entirely in our predictive coding process.</li>
</ul>
<p>Therefore, we are going to assign a higher cost to false negatives than to false positives, which makes this a good time to look at other cut-offs on our ROC curve.</p>
</div>
<div id="roc-curve" class="section level3">
<h3>ROC curve</h3>
<p>Let’s look at the ROC curve so we can understand the performance of our model at different cutoffs.<br />To plot the ROC curve we use the <code>performance()</code> function to extract the <em>true positive rate</em> and <em>false positive rate</em>.</p>
<pre class="sourceCode r"><code class="sourceCode r">predROCR <-<span class="st"> </span><span class="kw">prediction</span>(predictCART.prob, test$responsive)
perfROCR <-<span class="st"> </span><span class="kw">performance</span>(predROCR, <span class="st">"tpr"</span>, <span class="st">"fpr"</span>)</code></pre>
<p>We then plot the ROC curve, with the option that color-codes the different cutoff thresholds.</p>
<pre class="sourceCode r"><code class="sourceCode r"><span class="kw">plot</span>(perfROCR, <span class="dt">colorize =</span> <span class="ot">TRUE</span>, <span class="dt">lwd =</span> <span class="dv">4</span>)</code></pre>
<p><img src="data:image/png;base64,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" title alt width="600" style="display: block; margin: auto auto auto 0;" /> The best cutoff to select is entirely dependent on the costs assigned by the decision maker to false positives and true positives.<br />However, we do favor cutoffs that give us a <strong>high sensitivity</strong>, <em>i.e.</em> we want to identify a large number of the responsive documents.</p>
<p>Therefore a choice that might look promising could be in the part of the curve where it becomes flatter (going towards the right), where we have a <strong>true positive rate of around 70%</strong> (meaning that we’re getting about 70% of all the responsive documents), and a <strong>false positive rate of about 20%</strong> (meaning that we are making mistakes and accidentally identifying as responsive 20% of the non-responsive documents.)</p>
<p>Since, typically, the vast majority of documents are non-responsive, operating at this cutoff would result in a large decrease in the amount of manual effort needed in the <em>eDiscovery</em> process.</p>
<p>From the blue color of the plot at this particular location we can infer that we are looking at a threshold around maybe 0.15 or so, significantly lower than 0.5, which is definitely what we would expect since we favor false positives to false negatives.</p>
</div>
<div id="area-under-the-curve-auc" class="section level3">
<h3><em>Area Under the Curve</em> (AUC)</h3>
<pre class="sourceCode r"><code class="sourceCode r">auc_CART <-<span class="st"> </span><span class="kw">as.numeric</span>(<span class="kw">performance</span>(predROCR, <span class="st">"auc"</span>)@y.values)</code></pre>
<p>The AUC of the <em>CART</em> models is <strong>0.7936</strong>, which means that our model can differentiate between a randomly selected responsive and non-responsive document about <strong>79.4%</strong> of the time.</p>
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