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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8" />
<meta name="generator" content="pandoc" />
<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
<meta name="author" content="Group 8" />
<meta name="date" content="2024-07-16" />
<title>HW8</title>
<script>// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
// be compatible with the behavior of Pandoc < 2.8).
document.addEventListener('DOMContentLoaded', function(e) {
var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
var i, h, a;
for (i = 0; i < hs.length; i++) {
h = hs[i];
if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6
a = h.attributes;
while (a.length > 0) h.removeAttribute(a[0].name);
}
});
</script>
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yr6EIj+LzNj/mfR2vhhRlx0BILZoAYruF0caWQ7YxO66UmeguDREAFHYuC7HJviRgVO6ruJH59h/C/PkgSle8xNzZJULLWq9JMDTE2fjGE146a1Us6PZDGYle6ldWRqn/pdpgHKNGrGIdkRK+KPETT9nKT6kLyDI8xd9A1FgWmXWRAIHwZ37WyZHOVyCadJEmMVz0MadMjDrPho+EIochkVC2xgGiwwsQ6DMv2P7UXqT4x7CdcYGId2BJQQa85EQKmCmwcRejQ9Bm4oATENFPkxPXILHpMPUyWTI5rjNOsIlmEeMbcOCEqInpXACYQ9DDxmFo9vcmsDblcMtg4tqBerNngkIKaFJmrQAPnq1dEzsMXcwjcHdfdCibcAxxA+q/j9m3LM/O7WJka4tSidVCjsvo2lQ/2ewyoYyXwAYyr2PlRoR5MpgVmSUIrM3PQxXPbgjBOaDQFIyFMJvx3Pc5RSYj12ySVF9fwFPQu2e2KWVoL9q3Ayv3IzpGHUdvdPdrNUdicjsTQ2ISy7QU3DrEytIjvbzJnAkmANXjAFERA0MUoPF3/5KFmW14bBNOhwircYgMqoDpUMcDtCmBE82QM2YtdjVLB4kBuKho/bcwQdeboqfQartuU3CsCf+cXkgYAqp/0Ee3RorAZt0AvvOCSI4JICIlGlsV0bsSid/NIEALAAzb6HAgyWHBps6xAOwkJIGcB82CxRQq4sJf3FzA70A+TRqcqjEMETCoez3mkPcpnoALs0ugJY8kQwrC+JE5ik3w9rzrvDRjAQnqgEVvdGrNwlanR0SOKWzxOJOvLJhcd8Cl4AshACUkv9czdMkJCVQSQhp6kp7StAlpVRpK0t0SW6LHeBJnE2QchB5Ccu8kxRghZXGIgZIiSj7gEKMJDClcnX6hgoqJMwiQDigIXg3ioFLCgDgjPtYHYpsF5EiA4kcnN18MZtOrY866dEQAb0FB34OGKHGZQjwW/WDHA60cYFaI/PjpzquUqdaYGcIq+mLez3WLFFCtNBN2QJcrlcoELgiPku5R5dSlJFaCEqEZle1AQzAKC+1SotMcBNyQUFuRHRF6OlimSBgjZeTBCwLyc6A+P/oFRchXTz5ADknYJHxzrJ5pGuIKRQISU6WyKTBBjD8WozmVYWIsto1AS5rxzKlvJu4E/vwOiKxRtCWsDM+eTHUrmwrCK5BIfMzGkD+0Fk5LzBs0jMYXktNDblB06LMNJ09U8pzSLmo14MS0OMjcdrZ31pyQqxJJpRImlSvfYAK8inkYU52QY2FPEVsjoWewpwhRp5yAuNpkqhdb7ku9Seefl2D0B8SMTFD90xi4CSOwwZy9IKkpMtI3FmFUg3/kFutpQGNc3pCR7gvC4sgwbupDu3DyEN+W6YGLNM21jpB49irxy9BSlHrVDlnihGKHwPrbVFtc+h1rVQKZduxIyojccZIIcOCmhEnC7UkY68WXKQgLi2JCDQkQWJRQuk60hZp0D3rtCTINSeY9Ej2kIKYfGxwOs4j9qMM7fYZiipzgcf7TamnehqdhsiMiCawXnz4xAbyCkLAx5EGbo3Ax1u3dUIKnTxIaxwQTHehPl3V491H0+bC5zgpGz7Io+mjdhKlPJ01EeMpM7UsRJMi1nGjmJg35i6bQBAAxjO/ENJubU2mg3ONySEoWklCwdABETcs7ck3jgiuU9pcKKpbgn+3YlzV1FzIkB6pmEDOSSyDfPPlQskznctFji0kpgZjW5RZe6x9kYT4KJcXg0bNiCyif+pZACCyRMmYsfiKmN9tSO65F0R2OO6ytlEhY5Sj6uRKfFxw0ijJaAx/k3QgnAFSq27/2i4GEBA+UvTJKK/9eISNvG46Em5RZfjTYLdeD8kdXHyrwId/DQZUaMCY4gGbke2C8vfjgV/Y9kkRQOJIn/xM9INZSpiBnqX0Q9GlQPpPKAyO5y+W5NMPSRdBCUlmuxl40ZfMCnf2Cp044uI9WLFtCi4YVxKjuRCOBWIb4XbIsGdbo4qtMQnNOQz4XDSui7W/N6l54qOynCqD3DpWQ+mpD7C40D8BZEWGJX3tlAaZBMj1yjvDYKwCJBa201u6nBKE5UE+7QSEhCwrXfbRZylAaAkplhBWX50dumrElePyNMRYUrC99UmcSSNgImhFhDI4BXjMtiqkgizUGCrZ8iwFxU6fQ8GEHCFdLewwxYWxgScAYMdMLmcZR6b7rZl95eQVDGVoUKcRMM1ixXQtXNkBETZkVVPg8LoSrdetHzkuM7DjZRHP02tCxA1fmkXKF3VzfN1pc1cv/8lbTIkkYpqKM9VOhp65ktYk+Q46myFWBapDfyWUCnsnI00QTBQmuFjMZTcd0V2NQ768Fhpby04k2IzNR1wKabuGJqYWwSly6ocMFGTeeI+ejsWDYgEvr66QgqdcIbFYDNgsm0x9UHY6SCd5+7tpsLpKdvhahIDyYmEJQCqMqtCF6UlrE5GXRmbu+vtm3BFSxI6ND6UxIE7GsGMgWqghXxSnaRJuGFveTcK5ZVSPJyjUxe1dKgI6kNF7EZhIZs8y8FVqwEfbM0Xk2ltORVDKZZM40SD3qQoQe0orJEKwPfZwm3YPqwixhUMOndis6MhbmfvLBKjC8sKKIZKbJk8L11oNkCQzCgvjhyyEiQSuJcgCQSG4Mocfgc0Hkwcjal1UNgP0CBPikYqBIk9tONv4kLtBswH07vUCjEaHiFGlLf8MgXKzSgjp2HolRRccAOh0ILHz9qlGgIFkwAnzHJRjWFhlA7ROwINyB5HFj59PRZHFor6voq7l23EPNRwdWhgawqbivLSjRA4htEYUFkjESu67icTg5S0aW1sOkCiIysfJ9UnIWevOOLGpepcBxy1wEhd2WI3AZg7sr9WBmHWyasxMcvY/iOmsLtHSWNUWEGk9hScMPShasUA1AcHOtRZlqMeQ0OzYS9vQvYUjOLrzP07BUAFikcJNMi7gIxEw4pL1G54TcmmmoAQ5s7TGWErJZ2Io4yQ0ljRYhL8H5e62oDtLF8aDpnIvZ5R3GWJyAugdiiJW9hQAVTsnCBHhwu7rkBlBX6r3b7ejEY0k5GGeyKv66v+6dg7mcJTrWHbtMywbedYqCQ0FPwoytmSWsL8WTtChZCKKzEF7vP6De4x2BJkkniMgSdWhbeBSLtJZR9CTHetK1xb34AYIJ37OegYIoPVbXgJ/qDQK+bfCtxQRVKQu77WzOoM6SGL7MaZwCGJVk46aImai9fmam+WpHG+0BtQPWUgZ7RIAlPq6lkECUhZQ2gqWkMYKcYMYaIc4gYCDFHYa2d1nzp3+J1eCBay8IYZ0wQRKGAqvCuZ/UgbQPyllosq+XtfKIZOzmeJqRazpmmoP/76YfkjzV2NlXTDSBYB04SVlNQsFTbGPk1t/I4Jktu0XSgifO2ozFOiwd/0SssJDn0dn4xqk4GDTTKX73/wQyBLdqgJ+Wx6AQaba3BA9CKEzjtQYIfAsiYamapq80LAamYjinlKXUkxdpIDk0puXUEYzSalfRibAeDAKpNiqQ0FTwoxuGYzRnisyTotdVTclis1LHRQCy/qqL8oUaQzWRxilq5Mi0IJGtMY02cGLD69vGjkj3p6pGePKI8bkBv5evq8SjjyU04vJR2cQXQwSJyoinDsUJHCQ50jrFTT7yRdbdYQMB3MYCb6uBzJ9ewhXYPAIZSXfeEQBZZ3GPN3Nbhh/wkvAJLXnQMdi5NYYZ5GHE400GS5rXkOZSQsdZgIbzRnF9ueLnsfQ47wHAsirITnTlkCcuWWIUhJSbpM3wWhXNHvt2xUsKKMpdBSbJnBMcihkoDqAd1Zml/R4yrzow1Q2A5G+kzo/RhRxQS2lCSDRV8LlYLBOOoo1bF4jwJAwKMK1tWLHlu9i0j4Ig8qVm6wE1DxXwAwQwsaBWUg2pOOol2dHxyt6npwJEdLDDVYyRc2D0HbcbLUJQj8gPevQBUBOUHXPrsAPBERICpnYESeu2OHotpXQxRGlCCtLdIsu23MhZVEoJg8Qumj/UMMc34IBqTKLDTp76WzL/dMjCxK7MjhiGjeYAC/kj/jY/Rde7hpSM1xChrog6yZ7OWTuD56xBJnGFE+pT2ElSyCnJcwVzCjkqeNLfMEJqKW0G7OFIp0G+9mh50I9o8k1tpCY0xYqFNIALgIfc2me4n1bmJnRZ89oepgLPT0NTMLNZsvSCZAc3TXaNB07vail36/dBySis4m9/DR8izaLJW6bWCkVgm5T+ius3ZXq4xI+GnbveLbdRwF2mNtsrE0JjYc1AXknCOrLSu7Te/r4dPYMCl5qtiHNTn+TPbh1jCBHH+dMJNhwNgs3nT+OhQoQ0vYif56BMG6WowAcHR3DjQolxLzyVekHj00PBAaW7IIAF1EF+uRIWyXjQMAs2chdpaKPNaB+kSezYt0+CA04sOg5vx8Fr7Ofa9sUv87h7SLAUFSzbetCCZ9pmyLt6l6/TzoA1/ZBG9bIUVHLAbi/kdBFgYGyGwRQGBpkqCEg2ah9UD6EedEcEL3j4y0BQQCiExEnocA3SZboh+epgd3YsOkHskZwPuQ5OoyA0fTA5AXrHcUOQF+zkJHIA7PwCDk1gGVmGUZSSoPhNf+Tklauz98QofOlCIQ/tCD4dosHYPqtPCXB3agggQQIqQJsSkB+qn0rkQ1toJjON/OtCIB9RYv3PqRA4C4U68ZMlZn6BdgEvi2ziU+TQ6NIw3ej+AtDwMGEZk7e2IjxUWKdAxyaw9OCwSmeADTPPleyk6UhGDNXQb++W6Uk4q6F7/rg6WVTo82IoCxSIsFDrav4EPHphD3u4hR53WKVvYZUwNCCeM4PMBWzK+EfIthZOkuAwPo5C5jgoZgn6dUdvx5rIDmd58cXXdKNfw3l+wM2UjgrDJeQHhbD7HW2QDoZMCujgIUkk5Fg8VCsdyjOtnGRx8wgKRPZN5dR0zPUyfGZFVihbFRniXZFOZGKPnEQzU3AnD1KfR6weHW2XS6KbPJxUkOTZsAB9vTVp3Le1F8q5l+DMcLiIq78jxAImD2pGFw0VHfRatScGlK6SMu8leTmhUSMy8Uhdd6xBiH3Gdman4tjQGLboJfqz6fL2WKHTmrfsKZRYX6BTDjDldKMosaSTLdQS7oDisJNqAUhw1PfTlnacCO8vl8706Km1FROgLDmudzxg+EWTiArtHgLsRrAXYWdB0NmToNCJdKm0KWycZQqb+Mw76Qy29iQ5up/X7oyw8QZ75kP5F6iJAJz6KCmqxz8fEa/xnsMYcIO/vEkGRuMckhr4rIeLrKaXnmIzlNLxbFspOphkcnJdnz/Chp/Vlpj2P7jJQmQRwGnltkTV5dbF9fE3/fxoSqTROgq9wFUlbuYzYcasE0ouzBo+dDCDzxKAfhbAZYxQiHrLzV2iVexnDX/QnT1fsT/xuhu1ui5qIytgbGmRoQkeQooO8eJNNZsf0iALur8QxZFH0nCMnjerYQqG1pIfjyVZWxhVRznmmfLG00BcBWJE6hzQWRyFknuJnXuk8A5FRDCulwrWASSNoBtR+CtGdkPwYN2o7DOw/VGlCZPusRBFXODQdUM5zeHDIVuAJBLqbO/f9Qua+pDqEPk230Sob9lEZ8BHiCorjVghuI0lI4JDgHGRDD/prQ84B1pVGkIpVUAHCG+iz3Bn3qm2AVrYcYWhock4jso5+J7HfHVj4WMIQdGctq3psBCVVzupQOEioBGA2Bk+UILT7+VoX5mdxxA5fS42gISQVi/HTzrgMxu0fY6hE1ocUwwbsbWcezrY2n6S8/6cxXkOH4prpmPuFoikTzY7T85C4T2XYlbxLglSv2uLCgFv8Quk/wdesUdWPeHYIH0R729JIisN9Apdd4eB10aqwXrPt+Su9mA8k8n1sjMwnfsfF2j3jMUzXepSHmZ/BfqXvzgUNQQWOXO8YEuFBh4QTYCkOAPxywpYu1VxiDyJmKVcmJPGWk/gc3Pov02StyYDahwmzw3E1gYC9wkupyWfDqDSUMpCTH5e5N8B//lHiMuIkTNw4USHrJU67bjXGqNav6PBuQSoqTxc8avHoGmvqNtXzIaoyMIQIiiUHIM64cXieouplhNYln7qgc4wBVAYR104kO+CvKqsg4yIUlFNThVUAKZxZt1XA34h3TCUUiXVkZ0w8Hh2R0Z5L0b4LZvPd/p1gi/07h8qfwHrByuSxglc9cI4QIg2oqvC/qm0i7tjPLTgDhoWTAKDO2ONW5oe+/eKB9vZB8K6C25yCZ9RFVMnb6NRdRjyVK57CHHSkJBfnM2/j4ODUwRkqrtBBCrDsDpt8jhZdXoy/1BCqw3sSGhgGGy0a5Jw6BP/TExoCmNFYjZl248A0osgPyGEmRA+fAsqPVaNAfytu0vuQJ7rk3J4kTDTR2AlCHJ5cls26opZM4w3jMULh2YXKpcqGBtuleAlOZnaZGbD6DHzMd6i2oFeJ8z9XYmalg1Szd/ocZDc1C7Y6vcALJz2lYnTXiWEr2wawtoR4g3jvWUU2Ngjd1cewtFzEvM1NiHZPeLlIXFbBPawxNgMwwAlyNSuGF3zizVeOoC9bag1qRAQKQE/EZBWC2J8mnXAN2aTBboZ7HewnObE8CwROudZHmUM5oZ/Ugd/JZQK8lvAm43uDRAbyW8gZ+ZGq0EVerVGUKUSm/Idn8AQHdR4m7bue88WBwft9mSCeMOt1ncBwziOmJYI2ZR7ewNMPiCugmSsE4EyQ+QATJG6qORMGd4snEzc6B4shPIo4G1T7PgSm8PY5eUkPdF8JZ0VBtadbHXoJgnEhZQaODPj2gpODKJY5Yp4DOsLBFxWbvXN755KWylJm+oOd4zEL9Hpubuy2gyyfxh8oEfFutnYWdfB8PdESLWYvSqbElP9qo3u6KTmkhoacDauMNNjj0oy40DFV7Ql0aZj77xfGl7TJNHnIwgqOkenruYYNo6h724+zUQ7+vkCpZB+pGA562hYQiDxHVWOq0oDQl/QsoiY+cuI7iWq/ZIBtHcXJ7kks+h2fCNUPA82BzjnqktNts+RLdk1VSu+tqEn7QZCCsvEqk6FkfiOYkrsw092J8jsfIuEKypNjLxrKA9kiA19mxBD2suxQKCzwXGws7kEJvlhUiV9tArLIdZW0IORcxEzdzKmjtFhsjKy/44XYXdI5noQoRcvjZ1RMPACRqYg2V1+OwOepcOknRLLFdYgTkT5UApt/JhLM3jeFYprZV+Zow2g8fP+U68hkKFWJj2yBbKqsrp25xkZX1DAjUw52IMYWaOhab8Kp05VrdNftqwRrymWF4OQSjbdfzmRZirK8FMJELEgER2PHjEAN9pGfLhCUiTJFbd5LBkOBMaxLr/A1SY9dXFz4RjzoU9ExfJCmx/I9FKEGT3n2cmzl2X42L3Jh+AbQq6sA+Ss1kitoa4TAYgKHaoybHUDJ51oETdeI/9ThSmjWGkyLi5QAGWhL0BG1UsTyRGRJOldKBrYJeB8ljLJHfATWTEQBXBDnQexOHTB+Un44zExFE4vLytcu5NwpWrUxO/0ZICUGM7hGABXym0V6ZvDST0E370St9MIWQOTWngeoQHUTdCJUP04spMBMS8LSker9cReVQkULFDIZDFPrhTzBl6sed9wcZQTbL+BDqMyaN3RJPh/anbx+Iv+qgQdAa3M9Z5JmvYlh4qop+Ho1F1W5gbOE9YKLgAnWytXElU4G8GtW47lhgFE6gaSs+gs37sFvi0PPVvA5dnCBgILTwoKd/+DoL9F6inlM7H4rOTzD79KJgKlZO/Zgt22UsKhrAaXU5ZcLrAglTVKJEmNJvORGN1vqrcfSMizfpsgbIe9zno+gBoKVXgIL/VI8dB1O5o/R3Suez/gD7M781ShjKpIIORM/nxG+jjhhgPwsn2IoXsPGPqYHXA63zJ07M2GPEykQwJBYLK808qYxuIew4frk52nhCsnCYmXiR6CuapvE1IwRB4/QftDbEn+AucIr1oxrLabRj9q4ae0+fXkHnteAJwXRbVkR0mctVSwEbqhJiMSZUp9DNbEDMmjX22m3ABpkrPQQTP3S1sib5pD2VRKRd+eNAjLYyT0hGrdjWJZy24OYXRoWQAIhGBZRxuBFMjjZQhpgrWo8SiFYbojcHO8V5DyscJpLTHyx9Fimassyo5U6WNtquUMYgccaHY5amgR3PQzq3ToNM5ABnoB9kuxsebqmYZm0R9qxJbFXCQ1UPyFIbxoUraTJFDpCk0Wk9GaYJKz/6oHwEP0Q14lMtlddQsOAU9zlYdMVHiT7RQP3XCmWYDcHCGbVRHGnHuwzScA0BaSBOGkz3lM8CArjrBsyEoV6Ys4qgDK3ykQQPZ3hCRGNXQTNNXbEb6tDiTDLKOyMzRhCFT+mAUmiYbV3YQVqFVp9dorv+TsLeCykS2b5yyu8AV7IS9cxcL8z4Kfwp+xJyYLv1OsxQCZwTB4a8BZ/5EdxTBJthApqyfd9u3ifr/WILTqq5VqgwMT9SOxbSGWLQJUUWCVi4k9tho9nEsbUh7U6NUsLmkYFXOhZ0kmamaJLRNJzSj/qn4Mso6zb6iLLBXoaZ6AqeWCjHQm2lztnejYYM2eubnpBdKVLORZhudH3JF1waBJKA9+W8EhMj3Kzf0L4vi4k6RoHh3Z5YgmSZmk6ns4fjScjAoL8GoOECgqgYEBYUGFVO4FUv4/YtowhEmTs0vrvlD/CrisnoBNDAcUi/teY7OctFlmARQzjOItrrlKuPO6E2Ox93L4O/4DcgV/dZ7qR3VBwVQxP1GCieA4RIpweYJ5FoYrHxqRBdJjnqbsikA2Ictbb8vE1GYIo9dacK0REgDX4smy6GAkxlH1yCGGsk+tgiDhNKuKu3yNrMdxafmKTF632F8Vx4BNK57GvlFisrkjN9WDAtjsWA0ENT2e2nETUb/n7qwhvGnrHuf5bX6Vh/n3xffU3PeHdR+FA92i6ufT3AlyAREoNDh6chiMWTvjKjHDeRhOa9YkOQRq1vQXEMppAQVwHCuIcV2g5rBn6GmZZpTR7vnSD6ZmhdSl176gqKTXu5E+YbfL0adwNtHP7dT7t7b46DVZIkzaRJOM+S6KcrzYVg+T3wSRFRQashjfU18NutrKa/7PXbtuJvpIjbgPeqd+pjmRw6YKpnANFSQcpzTZgpSNJ6J7uiagAbir/8tNXJ/OsOnRh6iuIexxrmkIneAgz8QoLmiaJ8sLQrELVK2yn3wOHp57BAZJhDZjTBzyoRAuuZ4eoxHruY1pSb7qq79cIeAdOwin4GdgMeIMHeG+FZWYaiUQQyC5b50zKjYw97dFjAeY2I4Bnl105Iku1y0lMA1ZHolLx19uZnRdILcXKlZGQx/GdEqSsMRU1BIrFqRcV1qQOOHyxOLXEGcbRtAEsuAC2V4K3p5mFJ22IDWaEkk9ttf5Izb2LkD1MnrSwztXmmD/Qi/EmVEFBfiKGmftsPwVaIoZanlKndMZsIBOskFYpDOq3QUs9aSbAAtL5Dbokus2G4/asthNMK5UQKCOhU97oaOYNGsTah+jfCKsZnTRn5TbhFX8ghg8CBYt/BjeYYYUrtUZ5jVij/op7V5SsbA4mYTOwZ46hqdpbB6Qvq3AS2HHNkC15pTDIcDNGsMPXaBidXYPHc6PJAkRh29Vx8KcgX46LoUQBhRM+3SW6Opll/wgxxsPgKJKzr5QCmwkUxNbeg6Wj34SUnEzOemSuvS2OetRCO8Tyy+QbSKVJcqkia+GvDefFwMOmgnD7h81TUtMn+mRpyJJ349HhAnoWFTejhpYTL9G8N2nVg1qkXBeoS9Nw2fB27t7trm7d/QK7Cr4uoCeOQ7/8JfKT77KiDzLImESHw/0wf73QeHu74hxv7uihi4fTX+XEwAyQG3264dwv17aJ5N335Vt9sdrAXhPOAv8JFvzqyYXwfx8WYJaef1gMl98JRFyl5Mv5Uo/oVH5ww5OzLFsiTPDns7fS6EURSSWd/92BxMYQ8sBaH+j+wthQPdVgDGpTfi+JQIWMD8xKqULliRH01rTeyF8x8q/GBEEEBrAJMPf25UQwi0b8tmqRXY7kIvNkzrkvRWLnxoGYEJsz8u4oOyMp8cHyaybb1HdMCaLApUE+/7xLIZGP6H9xuSEXp1zLIdjk5nBaMuV/yTDRRP8Y2ww5RO6d2D94o+6ucWIqUAvgHIHXhZsmDhjVLczmZ3ca0Cb3PpKwt2UtHVQ0BgFJsqqTsnzZPlKahRUkEu4qmkJt+kqdae76ViWe3STan69yaF9+fESD2lcQshLHWVu4ovItXxO69bqC5p1nZLvI8NdQB9s9UNaJGlQ5mG947ipdDA0eTIw/A1zEdjWquIsQXXGIVEH0thC5M+W9pZe7IhAVnPJkYCCXN5a32HjN6nsvokEqRS44tGIs7s2LVTvcrHAF+RVmI8L4HUYk4x+67AxSMJKqCg8zrGOgvK9kNMdDrNiUtSWuHFpC8/p5qIQrEo/H+1l/0cAwQ2nKmpWxKcMIuHY44Y6DlkpO48tRuUGBWT0FyHwSKO72Ud+tJUfdaZ4CWNijzZtlRa8+CkmO/EwHYfPZFU/hzjFWH7vnzHRMo+aF9u8qHSAiEkA2HjoNQPEwHsDKOt6hOoK3Ce/+/9boMWDa44I6FrQhdgS7OnNaSzwxWKZMcyHi6LN4WC6sSj0qm2PSOGBTvDs/GWJS6SwEN/ULwpb4LQo9fYjUfSXRwZkynUazlSpvX9e+G2zor8l+YaMxSEomDdLHGcD6YVQPegTaA74H8+V4WvJkFUrjMLGLlvSZQWvi8/QA7yzQ8GPno//5SJHRP/OqKObPCo81s/+6WgLqykYpGAgQZhVDEBPXWgU/WzFZjKUhSFInufPRiMAUULC6T11yL45ZrRoB4DzOyJShKXaAJIBS9wzLYIoCEcJKQW8GVCx4fihqJ6mshBUXSw3wWVj3grrHQlGNGhIDNNzsxQ3M+GWn6ASobIWC+LbYOC6UpahVO13Zs2zOzZC8z7FmA05JhUGyBsF4tsG0drcggIFzgg/kpf3+CnAXKiMgIE8Jk/Mhpkc8DUJEUzDSnWlQFme3d0sHZDrg7LavtsEX3cHwjCYA17pMTfx8Ajw9hHscN67hyo+RJQ4458RmPywXykkVcW688oVUrQhahpPRvTWPnuI0B+SkQu7dCyvLRyFYlC1LG1gRCIvn3rwQeINzZQC2KXq31FaR9UmVV2QeGVqBHjmE+VMd3b1fhCynD0pQNhCG6/WCDbKPyE7NRQzL3BzQAJ0g09aUzcQA6mUp9iZFK6Sbp/YbHjo++7/Wj8S4YNa+ZdqAw1hDrKWFXv9+zaXpf8ZTDSbiqsxnwN/CzK5tPkOr4tRh2kY3Bn9JtalbIOI4b3F7F1vPQMfoDcdxMS8CW9m/NCW/HILTUVWQIPiD0j1A6bo8vsv6P1hCESl2abrSJWDrq5sSzUpwoxaCU9FtJyYH4QFMxDBpkkBR6kn0LMPO+5EJ7Z6bCiRoPedRZ/P0SSdii7ZnPAtVwwHUidcdyspwncz5uq6vvm4IEDbJVLUFCn/LvIHfooUBTkFO130FC7CmmcrKdgDJcid9mvVzsDSibOoXtIf9k6ABle3PmIxejodc4aob0QKS432srrCMndbfD454q52V01G4q913mC5HOsTzWF4h2No1av1VbcUgWAqyoZl+11PoFYnNv2HwAODeNRkHj+8SF1fcvVBu6MrehHAZK1Gm69ICcTKizykHgGFx7QdowTVAsYEF2tVc0Z6wLryz2FI1sc5By2znJAAmINndoJiB4sfPdPrTC8RnkW7KRCwxC6YvXg5ahMlQuMpoCSXjOlBy0Kij+bsCYPbGp8BdCBiLmLSAkEQRaieWo1SYvZIKJGj9Ur/eWHjiB7SOVdqMAVmpBvfRiebsFjger7DC+8kRFGtNrTrnnGD2GAJb8rQCWkUPYHhwXsjNBSkE6lGWUj5QNhK0DMNM2l+kXRZ0KLZaGsFSIdQz/HXDxf3/TE30+DgBKWGWdxElyLccJfEpjsnszECNoDGZpdwdRgCixeg9L4EPhH+RptvRMVRaahu4cySjS3P5wxAUCPkmn+rhyASpmiTaiDeggaIxYBmtLZDDhiWIJaBgzfCsAGUF1Q1SFZYyXDt9skCaxJsxK2Ms65dmdp5WAZyxik/zbrTQk5KmgxCg/f45L0jywebOWUYFJQAJia7XzCV0x89rpp/f3AVWhSPyTanqmik2SkD8A3Ml4NhIGLAjBXtPShwKYfi2eXtrDuKLk4QlSyTw1ftXgwqA2jUuopDl+5tfUWZNwBpEPXghzbBggYCw/dhy0ntds2yeHCDKkF/YxQjNIL/F/37jLPHCKBO9ibwYCmuxImIo0ijV2Wbg3kSN2psoe8IsABv3RNFaF9uMyCtCYtqcD+qNOhwMlfARQUdJ2tUX+MNJqOwIciWalZsmEjt07tfa8ma4cji9sqz+Q9hWfmMoKEbIHPOQORbhQRHIsrTYlnVTNvcq1imqmmPDdVDkJgRcTgB8Sb6epCQVmFZe+jGDiNJQLWnfx+drTKYjm0G8yH0ZAGMWzEJhUEQ4Maimgf/bkvo8PLVBsZl152y5S8+HRDfZIMCbYZ1WDp4yrdchOJw8k6R+/2pHmydK4NIK2PHdFPHtoLmHxRDwLFb7eB+M4zNZcB9NrAgjVyzLM7xyYSY13ykWfIEEd2n5/iYp3ZdrCf7fL+en+sIJu2W7E30MrAgZBD1rAAbZHPgeAMtKCg3NpSpYQUDWJu9bT3V7tOKv+NRiJc8JAKqqgCA/PNRBR7ChpiEulyQApMK1AyqcWnpSOmYh6yLiWkGJ2mklCSPIqN7UypWj3dGi5MvsHQ87MrB4VFgypJaFriaHivwcHIpmyi5LhNqtem4q0n8awM19Qk8BOS0EsqGscuuydYsIGsbT5GHnERUiMpKJl4ON7qjB4fEqlGN/hCky89232UQCiaeWpDYCJINXjT6xl4Gc7DxRCtgV0i1ma4RgWLsNtnEBRQFqZggCLiuyEydmFd7WlogpkCw5G1x4ft2psm3KAREwVwr1Gzl6RT7FDAqpVal34ewVm3VH4qn5mjGj+bYL1NgfLNeXDwtmYSpwzbruDKpTjOdgiIHDVQSb5/zBgSMbHLkxWWgghIh9QTFSDILixVwg0Eg1puooBiHAt7DzwJ7m8i8/i+jHvKf0QDnnHVkVTIqMvIQImOrzCJwhSR7qYB5gSwL6aWL9hERHCZc4G2+JrpgHNB8eCCmcIWIQ6rSdyPCyftXkDlErUkHafHRlkOIjxGbAktz75bnh50dU7YHk+Mz7wwstg6RFZb+TZuSOx1qqP5C66c0mptQmzIC2dlpte7vZrauAMm/7RfBYkGtXWGiaWTtwvAQiq2oD4YixPLXE2khB2FRaNRDTk+9sZ6K74Ia9VntCpN4BhJGJMT4Z5c5FhSepRCRWmBXqx+whVZC4me4saDs2iNqXMuCl6iAZflH8fscC1sTsy4PHeC+XYuqMBMUun5YezKbRKmEPwuK+CLzijPEQgfhahQswBBLfg/GBgBiI4QwAqzJkkyYAWtjzSg2ILgMAgqxYfwERRo3zruBL9WOryUArSD8sQOcD7fvIODJxKFS615KFPsb68USBEPPj1orNzFY2xoTtNBVTyzBhPbhFH0PI5AtlJBl2aSgNPYzxYLw7XTDBDinmVoENwiGzmngrMo8OmnRP0Z0i0Zrln9DDFcnmOoBZjABaQIbPOJYZGqX+RCMlDDbElcjaROLDoualmUIQ88Kekk3iM4OQrADcxi3rJguS4MOIBIgKgXrjd1WkbCdqxJk/4efRIFsavZA7KvvJQqp3Iid5Z0NFc5aiMRzGN3vrpBzaMy4JYde3wr96PjN90AYOIbyp6T4zj8LoE66OGcX1Ef4Z3KoWLAUF4BTg7ug/AbkG5UNQXAMkQezujSHeir2uTThgd3gpyzDrbnEdDRH2W7U6PeRvBX1ZFMP5RM+Zu6UUZZD8hDPHldVWntTCNk7To8IeOW9yn2wx0gmurwqC60AOde4r3ETi5pVMSDK8wxhoGAoEX9NLWHIR33VbrbMveii2jAJlrxwytTHbWNu8Y4N8vCCyZjAX/pcsfwXbLze2+D+u33OGBoJyAAL3jn3RuEcdp5If8O+a4NKWvxOTyDltG0IWoHhwVGe7dKkCWFT++tm+haBCikRUUMrMhYKZJKYoVuv/bsJzO8DwfVIInQq3g3BYypiz8baogH3r3GwqCwFtZnz4xMjAVOYnyOi5HWbFA8n0qz1OjSpHWFzpQOpvkNETZBGpxN8ybhtqV/DMUxd9uFZmBfKXMCn/SqkWJyKPnT6lq+4zBZni6fYRByJn6OK+OgPBGRAJluwGSk4wxjOOzyce/PKODwRlsgrVkdcsEiYrqYdXo0Er2GXi2GQZd0tNJT6c9pK1EEJG1zgDJBoTVuCXGAU8BKTvCO/cEQ1Wjk3Zzuy90JX4m3O5IlxVFhYkSUwuQB2up7jhvkm+bddRQu5F9s0XftGEJ9JSuSk+ZachCbdU45fEqbugzTIUokwoAKvpUQF/CvLbWW5BNQFqFkJg2f30E/48StNe5QwBg8zz3YAJ82FZoXBxXSv4QDooDo79NixyglO9AembuBcx5Re3CwOKTHebOPhkmFC7wNaWtoBhFuV4AkEuJ0J+1pT0tLkvFVZaNzfhs/Kd3+A9YsImlO4XK4vpCo/elHQi/9gkFg07xxnuXLt21unCIpDV+bbRxb7FC6nWYTsMFF8+1LUg4JFjVt3vqbuhHmDKbgQ4e+RGizRiO8ky05LQGMdL2IKLSNar0kNG7lHJMaXr5mLdG3nykgj6vB/KVijd1ARWkFEf3yiUw1v/WaQivVUpIDdSNrrKbjO5NPnxz6qTTGgYg03HgPhDrCFyYZTi3XQw3HXCva39mpLNFtz8AiEhxAJHpWX13gCTAwgm9YTvMeiqetdNQv6IU0hH0G+ZManTqDLPjyrOse7WiiwOJCG+J0pZYULhN8NILulmYYvmVcV2MjAfA39sGKqGdjpiPo86fecg65UPyXDIAOyOkCx5NQsLeD4gGVjTVDwOHWkbbBW0GeNjDkcSOn2Nq4cEssP54t9D749A7M1AIOBl0Fi0sSO5v3P7LCBrM6ZwFY6kp2FX6AcbGUdybnfChHPyu6WlRZ2Fwv9YM0RMI7kISRgR8HpQSJJOyTfXj/6gQKuihPtiUtlCQVPohUgzfezTg8o1b3n9pNZeco1QucaoXe40Fa5JYhqdTspFmxGtW9h5ezLFZs3j/N46f+S2rjYNC2JySXrnSAFhvAkz9a5L3pza8eYKHNoPrvBRESpxYPJdKVUxBE39nJ1chrAFpy4MMkf0qKgYALctGg1DQI1kIymyeS2AJNT4X240d3IFQb/0jQbaHJ2YRK8A+ls6WMhWmpCXYG5jqapGs5/eOJErxi2/2KWVHiPellTgh/fNl/2KYPKb7DUcAg+mCOPQFCiU9Mq/WLcU1xxC8aLePFZZlE+PCLzf7ey46INWRw2kcXySR9FDgByXzfxiNKwDFbUSMMhALPFSedyjEVM5442GZ4hTrsAEvZxIieSHGSgkwFh/nFNdrrFD4tBH4Il7fW6ur4J8Xaz7RW9jgtuPEXQsYk7gcMs2neu3zJwTyUerHKSh1iTBkj2YJh1SSOZL5pLuQbFFAvyO4k1Hxg2h99MTC6cTUkbONQIAnEfGsGkNFWRbuRyyaEZInM5pij73EA9rPIUfU4XoqQpHT9THZkW+oKFLvpyvTBMM69tN1Ydwv1LIEhHsC+ueVG+w+kyCPsvV3erRikcscHjZCkccx6VrBkBRusTDDd8847GA7p2Ucy0y0HdSRN6YIBciYa4vuXcAZbQAuSEmzw+H/AuOx+aH+tBL88H57D0MsqyiZxhOEQkF/8DR1d2hSPMj/sNOa5rxcUnBgH8ictv2J+cb4BA4v3MCShdZ2vtK30vAwkobnEWh7rsSyhmos3WC93Gn9C4nnAd/PjMMtQfyDNZsOPd6XcAsnBE/mRHtHEyJMzJfZFLE9OvQa0i9kUmToJ0ZxknTgdl/XPV8xoh0K7wNHHsnBdvFH3sv52lU7UFteseLG/VanIvcwycVA7+BE1Ulyb20BvwUWZcMTKhaCcmY3ROpvonVMV4N7yBXTL7IDtHzQ4CCcqF66LjF3xUqgErKzolLyCG6Kb7irP/MVTCCwGRxfrPGpMMGvPLgJ881PHMNMIO09T5ig7AzZTX/5PLlwnJLDAPfuHynSGhV4tPqR3gJ4kg4c06c/F1AcjGytKm2Yb5jwMotF7vro4YDLWlnMIpmPg36NgAZsGA0W1spfLSue4xxat0Gdwd0lqDBOgIaMANykwwDKejt5YaNtJYIkrSgu0KjIg0pznY0SCd1qlC6R19g97UrWDoYJGlrvCE05J/5wkjpkre727p5PTRX5FGrSBIfJqhJE/IS876PaHFkx9pGTH3oaY3jJRvLX9Iy3Edoar7cFvJqyUlOhAEiOSAyYgVEGkzHdug+oRHIEOXAExMiTSKU9A6nmRC8mp8iYhwWdP2U/5EkFAdPrZw03YA3gSyNUtMZeh7dDCu8pF5x0VORCTgKp07ehy7NZqKTpIC4UJJ89lnboyAfy5OyXzXtuDRbtAFjZRSyGFTpFrXwkpjSLIQIG3N0Vj4BtzK3wdlkBJrO18MNsgseR4BysJilI0wI6ZahLhBFA0XBmV8d4LUzEcNVb0xbLjLTETYN8OEVqNxkt10W614dd1FlFFVTIgB7/BQQp1sWlNolpIu4ekxUTBV7NmxOFKEBmmN+nA7pvF78/RII5ZHA09OAiE/66MF6HQ+qVEJCHxwymukkNvzqHEh52dULPbVasfQMgTDyBZzx4007YiKdBuUauQOt27Gmy8ISclPmEUCIcuLbkb1mzQSqIa3iE0PJh7UMYQbkpe+hXjTJKdldyt2mVPwywoODGJtBV1lJTgMsuSQBlDMwhEKIfrvsxGQjHPCEfNfMAY2oxvyKcKPUbQySkKG6tj9AQyEW3Q5rpaDJ5Sns9ScLKeizPRbvWYAw4bXkrZdmB7CQopCH8NAmqbuciZChHN8lVGaDbCnmddnqO1PQ4ieMYfcSiBE5zzMz+JV/4eyzrzTEShvqSGzgWimkNxLvUj86iAwcZuIkqdB0VaIB7wncLRmzHkiUQpPBIXbDDLHBlq7vp9xwuC9AiNkIptAYlG7Biyuk8ILdynuUM1cHWJgeB+K3wBP/ineogxkvBNNQ4AkW0hvpBOQGFfeptF2YTR75MexYDUy7Q/9uocGsx41O4IZhViw/2FvAEuGO5g2kyXBUijAggWM08bRhXg5ijgMwDJy40QeY/cQpUDZiIzmvskQpO5G1zyGZA8WByjIQU4jRoFJt56behxtHUUE/om7Rj2psYXGmq3llVOCgGYKNMo4pzwntITtapDqjvQtqpjaJwjHmDzSVGLxMt12gEXAdLi/caHSM3FPRGRf7dB7YC+cD2ho6oL2zGDCkjlf/DFoQVl8GS/56wur3rdV6ggtzZW60MRB3g+U1W8o8cvqIpMkctiGVMzXUFI7FacFLrgtdz4mTEr4aRAaQ2AFQaNeG7GX0yOJgMRYFziXdJf24kg/gBQIZMG/YcPEllRTVNoDYR6oSJ8wQNLuihfw81UpiKPm714bZX1KYjcXJdfclCUOOpvTxr9AAJevTY4HK/G7F3mUc3GOAKqh60zM0v34v+ELyhJZqhkaMA8UMMOU90f8RKEJFj7EqepBVwsRiLbwMo1J2zrE2UYJnsgIAscDmjPjnzI8a719Wxp757wqmSJBjXowhc46QN4RwKIxqEE6E5218OeK7RfcpGjWG1jD7qND+/GTk6M56Ig4yMsU6LUW1EWE+fIYycVV1thldSlbP6ltdC01y3KUfkobkt2q01YYMmxpKRvh1Z48uNKzP/IoRIZ/F6buOymSnW8gICitpJjKWBscSb9JJKaWkvEkqinAJ2kowKoqkqZftRqfRQlLtKoqvTRDi2vg/RrPD/d3a09J8JhGZlEkOM6znTsoMCsuvTmywxTCDhw5dd0GJOHCMPbsj3QLkTE3MInsZsimDQ3HkvthT7U9VA4s6G07sID0FW4SHJmRGwCl+Mu4xf0ezqeXD2PtPDnwMPo86sbwDV+9PWcgFcARUVYm3hrFQrHcgMElFGbSM2A1zUYA3baWfheJp2AINmTJLuoyYD/OwA4a6V0ChBN97E8YtDBerUECv0u0TlxR5yhJCXvJxgyM73Bb6pyq0jTFJDZ4p1Am1SA6sh8nADd1hAcGBMfq4d/UfwnmBqe0Jun1n1LzrgKuZMAnxA3NtCN7Klf4BH+14B7ibBmgt0TGUafVzI4uKlpF7v8NmgNjg90D6QE3tbx8AjSAC+OA1YJvclyPKgT27QpIEgVYpbPYGBsnyCNrGz9XUsCHkW1QAHgL2STZk12QGqmvAB0NFteERkvBIH7INDsNW9KKaAYyDMdBEMzJiWaJHZALqDxQDWRntumSDPcplyFiI1oDpT8wbwe01AHhW6+vAUUBoGhY3CT2tgwehdPqU/4Q7ZLYvhRl/ogOvR9O2+wkkPKW5vCTjD2fHRYXONCoIl4Jh1bZY0ZE1O94mMGn/dFSWBWzQ/VYk+Gezi46RgiDv3EshoTmMSlioUK6MQEN8qeyK6FRninyX8ZPeUWjjbMJChn0n/yJvrq5bh5UcCAcBYSafTFg7p0jDgrXo2QWLb3WpSOET/Hh4oSadBTvyDo10IufLzxiMLAnbZ1vcUmj3w7BQuIXjEZXifwukVxrGa9j+DXfpi12m1RbzYLg9J2wFergEwOxFyD0/JstNK06ZN2XdZSGWxcJODpQHOq4iKqjqkJUmPu1VczL5xTGUfCgLEYyNBCCbMBFT/cUP6pE/mujnHsSDeWxMbhrNilS5MyYR0nJyzanWXBeVcEQrRIhQeJA6Xt4f2eQESNeLwmC10WJVHqwx8SSyrtAAjpGjidcj1E2FYN0LObUcFQhafUKTiGmHWRHGsFCB+HEXgrzJEB5bp0QiF8ZHh11nFX8AboTD0PS4O1LqF8XBks2MpjsQnwKHF6HgaKCVLJtcr0XjqFMRGfKv8tmmykhLRzu+vqQ02+KpJBjaLt9ye1Ab+BbEBhy4EVdIJDrL2naV0o4wU8YZ2Lq04FG1mWCKC+UwkXOoAjneU/xHplMQo2cXUlrVNqJYczgYlaOEczVCs/OCgkyvLmTmdaBJc1iBLuKwmr6qtRnhowngsDxhzKFAi02tf8bmET8BO27ovJKF1plJwm3b0JpMh38+xsrXXg7U74QUM8ZCIMOpXujHntKdaRtsgyEZl5MClMVMMMZkZLNxH9+b8fH6+b8Lev30A9TuEVj9CqAdmwAAHBPbfOBFEATAPZ2CS0OH1Pj/0Q7PFUcC8hDrxESWdfgFRm+7vvWbkEppHB4T/1ApWnlTIqQwjcPl0VgS1yHSmD0OdsCVST8CQVwuiew1Y+g3QGFjNMzwRB2DSsAk26cmA8lp2wIU4p93AUBiUHFGOxOajAqD7Gm6NezNDjYzwLOaSXRBYcWipTSONHjUDXCY4mMI8XoVCR/Rrs/JLKXgEx+qkmeDlFOD1/yTQNDClRuiUyKYCllfMiQiyFkmuTz2vLsBNyRW+xz+5FElFxWB28VjYIGZ0Yd+5wIjkcoMaggxswbT0pCmckRAErbRlIlcOGdBo4djTNO8FAgQ+lT6vPS60BwTRSUAM3ddkEAZiwtEyArrkiDRnS7LJ+2hwbzd2YDQagSgACpsovmjil5wfPuXq3GuH0CyE7FK3M4FgRaFoIkaodORrPx1+JpI9psyNYIFuJogZa0/1AhOWdlHQxdAgbwacsHqPZo8u/ngAH2GmaTdhYnBfSDbBfh8CHq6Bx5bttP2+RdM+MAaYaZ0Y/ADkbNCZuAyAVQa2OcXOeICmDn9Q/eFkDeFQg5MgHEDXq/tVjj+jtd26nhaaolWxs1ixSUgOBwrDhRIGOLyOVk2/Bc0UxvseQCO2pQ2i+Krfhu/WeBovNb5dJxQtJRUDv2mCwYVpNl2efQM9xQHnK0JwLYt/U0Wf+phiA4uw8G91slC832pmOTCAoZXohg1fewCZqLBhkOUBofBWpMPsqg7XEXgPfAlDo2U5WXjtFdS87PIqClCK5nW6adCeXPkUiTGx0emOIDQqw1yFYGHEVx20xKjJVYe0O8iLmnQr3FA9nSIQilUKtJ4ZAdcTm7+ExseJauyqo30hs+1qSW211A1SFAOUgDlCGq7eTIcMAeyZkV1SQJ4j/e1Smbq4HcjqgFbLAGLyKxlMDMgZavK5NAYH19Olz3la/QCTiVelFnU6O/GCvykqS/wZJDhKN9gBtSOp/1SP5VRgJcoVj+kmf2wBgv4gjrgARBWiURYx8xENV3bEVUAAWWD3dYDKAIWk5opaCFCMR5ZjJExiCAw7gYiSZ2rkyTce4eNMY3lfGn+8p6+vBckGlKEXnA6Eota69OxDO9oOsJoy28BXOR0UoXNRaJD5ceKdlWMJlOFzDdZNpc05tkMGQtqeNF2lttZqNco1VtwXgRstLSQ6tSPChgqtGV5h2DcDReIQadaNRR6AsAYKL5gSFsCJMgfsaZ7DpKh8mg8Wz8V7H+gDnLuMxaWEIUPevIbClgap4dqmVWSrPgVYCzAoZHIa5z2Ocx1D/GvDOEqMOKLrMefWIbSWHZ6jbgA8qVBhYNHpx0P+jAgN5TB3haSifDcApp6yymEi6Ij/GsEpDYUgcHATJUYDUAmC1SCkJ4cuZXSAP2DEpQsGUjQmKJfJOvlC2x/pChkOyLW7KEoMYc5FDC4v2FGqSoRWiLsbPCiyg1U5yiHZVm1XLkHMMZL11/yxyw0UnGig3MFdZklN5FI/qiT65T+jOXOdO7XbgWurOAZR6Cv9uu1cm5LjkXX4xi6mWn5r5NjBS0gTliHhMZI2WNqSiSphEtiCAwnafS11JhseDGHYQ5+bqWiAYiAv6Jsf79/VUs4cIl+n6+WOjcgB/2l5TreoAV2717JzZbQIR0W1cl/dEqCy5kJ3ZSIHuU0vBoHooEpiHeQWVkkkOqRX27eD1FWw4BfO9CJDdKoSogQi3hAAwsPRFrN5RbX7bqLdBJ9JYMohWrgJKHSjVl1sy2xAG0E3sNyO0oCbSGOxCNBRRXTXenYKuwAoDLfnDcQaCwehUOIDiHAu5m5hMpKeKM4sIo3vxACakIxKoH2YWF2QM84e6F5C5hJU4g8uxuFOlAYnqtwxmHyNEawLW/PhoawJDrGAP0JYWHgAVUByo/bGdiv2T2EMg8gsS14/rAdzlOYazFE7w4OzxeKiWdm3nSOnQRRKXSlVo8HEAbBfyJMKqoq+SCcTSx5NDtbFwNlh8VhjGGDu7JG5/TAGAvniQSSUog0pNzTim8Owc6QTuSKSTXlQqwV3eiEnklS3LeSXYPXGK2VgeZBqNcHG6tZHvA3vTINhV0ELuQdp3t1y9+ogD8Kk/W7QoRN1UWPqM4+xdygkFDPLoTaumKReKiLWoPHOfY54m3qPx4c+4pgY3MRKKbljG8w4wvz8pxk3AqKsy4GMAkAtmRjRMsCxbb4Q2Ds0Ia9ci8cMT6DmsJG00XaHCIS+o3F8YVVeikw13w+OEDaCYYhC0ZE54kA4jpjruBr5STWeqQG6M74HHL6TZ3lXrd99ZX++7LhNatQaZosuxEf5yRA15S9gPeHskBIq3Gcw81AGb9/O53DYi/5CsQ51EmEh8Rkg4vOciClpy4d04eYsfr6fyQkBmtD+P8sNh6e+XYHJXT/lkXxT4KXU5F2sGxYyzfniMMQkb9OjDN2C8tRRgTyL7GwozH14PrEUZc6oz05Emne3Ts5EG7WolDmU8OB1LDG3VrpQxp+pT0KYV5dGtknU64JhabdqcVQbGZiAxQAnvN1u70y1AnmvOSPgLI6uB4AuDGhmAu3ATkJSw7OtS/2ToPjqkaq62/7WFG8advGlRRqxB9diP07JrXowKR9tpRa+jGJ91zxNTT1h8I2PcSfoUPtd7NejVoH03EUcqSBuFZPkMZhegHyo2ZAITovmm3zAIdGFWxoNNORiMRShgwdYwFzkPw5PA4a5MIIQpmq+nsp3YMuXt/GkXxLx/P6+ZJS0lFyz4MunC3eWSGE8xlCQrKvhKUPXr0hjpAN9ZK4PfEDrPMfMbGNWcHDzjA7ngMxTPnT7GMHar+gMQQ3NwHCv4zH4BIMYvzsdiERi6gebRmerTsVwZJTRsL8dkZgxgRxmpbgRcud+YlCIRpPwHShlUSwuipZnx9QCsEWziVazdDeKSYU5CF7UVPAhLer3CgJOQXl/zh575R5rsrmRnKAzq4POFdgbYBuEviM4+LVC15ssLNFghbTtHWerS1hDt5s4qkLUha/qpZXhWh1C6lTQAqCNQnaDjS7UGFBC6wTu8yFnKJnExCnAs3Ok9yj5KpfZESQ4lTy5pTGTnkAUpxI+yjEldJfSo4y0QhG4i4IwkRFGcjWY8+EzgYYJUK7BXQksLxAww/YYWBMhJILB9e8ePEJ4OP7z+4/wOQDl64iOYDp26DaONPxpKtBxq/aTzRGarm3VkPYTLJKx6Z/Mw2YbBGseJhPMwhhNswrIkyvV2BYzrvZbxLpKwcWJhYmFtVZ+lPEq91FzVp1HlQY1bZVLqeNR9SAUn6n0E28k/UuGkNpP1DBI5ch/EehZfjUQ9aE41NhETExoPT2gGQz0IhWJbEOvTQ4wgcXCHHFBhewYUiFHuhRSAUVmEHeCRQHQkXGFwkAgyzREJCVN7TRnTon36Zw3tPhx4EALwNdwDv+J41YSP4B2CQqz0EFgARZ4ESgBHQgROwAVn9GTI+HYexTUevLUeta4/DqKrbMVS+Yqb8hUwYCrlgKtmAq1YCrFgKrd4qpXiqZcKn1oqdWipjYKpWwVPVYqW6xUpVipKqFR3QKjagVEtAqHpxUMTitsnFaJOKx2cVhswq35RVpyiq9lFVNIKnOQVMkgqtYxVNxiqQjFS7GKlSIVIsQqPIhUWwioigFQ++KkN8VHr49HDw9Ebo9EDo9DTo9Crg9BDg9/Wx7gWx7YWwlobYrOGxWPNisAaAHEyALpkAVDIAeWAArsABVXACYuAD5cAF6wAKFQAQqgAbVAAsoAAlQAUaYAfkwAvogBWQACOgAD9AAHSAAKT4GUdMiOvFngBTwCn2AZ7Dv6B6k/90B8+yRnkV144AIBoAMTQATGgAjNAA4YABgwABZgB/mQCwyAVlwCguASlwCEuAQFwB4uAMlwBYuAJlQAUVAAhUD2KgdpUDaJgaRMDFJgX5MC1JgWJEAokQCWRAHxEAWkQBMRADpEAMkQAYROAEecC484DRpwBDTnwNOdw05tjTmiNOYwtswhYFwLA7BYG4LA2BYGOLAwRYFuLAsxYFQJAohIEyJAMwkAwiQC0JAJgkAeiQBkJAFokAPCQA0JABwcD4Dgc4cDdDgaYcDIDgYgUC6CgWgUClCgUYUAVBQBOFAEYMALgwAgDA9QYAdIn8AZzeBB2L5EcWrenUT1KXienEsuJJ7x5U8XlTjc1NVzUyXFTGb1LlpUtWlTDIjqwE4LsagowoCi2gJLKAkpoBgJQNpAIhNqaEoneI6kiiqQ6Go/n6j0cS+a2gEU8gIHJ+BwfgZX4GL+Bd/gW34FZ+BS/gUH4FN6BTegTvoEv6BJegRnYEF2A79gOvYDl2BdEjCkqkGtwXp0LNToIskOTXzh/F062yJ7AAAAEDAWAAABWhJ+KPEIJgBFxMVP7w2QJBGHASQnOBKXKFIdUK4igKA9IEaYJg) 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<h1 class="title toc-ignore">HW8</h1>
<h4 class="author">Group 8</h4>
<h4 class="date">16 July 2024</h4>
</div>
<p><br></p>
<p>Group:</p>
<p>Lisa Bensousan - 346462534 - <a href="mailto:[email protected]" class="email">[email protected]</a> <br> Dan Levy -
346453202 - <a href="mailto:[email protected]" class="email">[email protected]</a> <br> Emmanuelle Fareau -
342687233 - <a href="mailto:[email protected]" class="email">[email protected]</a> <br></p>
<p><br></p>
<div id="libraries-used" class="section level3">
<h3>Libraries used</h3>
<p><br></p>
<pre class="r"><code>library(dplyr)
library(ggplot2)
library(splines)
library(data.table)
library(caret)</code></pre>
<p><br></p>
</div>
<div id="paths-and-data" class="section level3">
<h3>Paths and Data</h3>
<pre class="r"><code># reads_data <- "/Users/lisabensoussan/Desktop/lab8/TCGA-13-0723-01A_lib1_all_chr1.forward"
# chr1_reads = fread(reads_data)
# colnames(chr1_reads) = c("Chrom","Loc","FragLen")
# head(chr1_reads)
# load("/Users/lisabensoussan/Desktop/lab8/chr1_str_30M_50M.rda")
#
load("C:/Users/Emmanuelle Fareau/Downloads/chr1_str_30M_50M.rda")
reads_data <- "/Users/Emmanuelle Fareau/Documents/Cours 2023-2024 (annee 4)/Maabada/TCGA-13-0723-01A_lib1_all_chr1.forward"
chr1_reads = fread(reads_data)
colnames(chr1_reads) = c("Chrom","Loc","FragLen")
head(chr1_reads)</code></pre>
<pre><code>## Chrom Loc FragLen
## <int> <int> <int>
## 1: 1 28 153
## 2: 1 35 184
## 3: 1 35 177
## 4: 1 36 186
## 5: 1 37 0
## 6: 1 37 242</code></pre>
<pre class="r"><code># reads_data <- "/Users/Emmanuelle Fareau/Documents/Cours 2023-2024 (annee 4)/Maabada/TCGA-13-0723-01A_lib1_all_chr1.forward"
# chr1_reads = fread(reads_data)
# colnames(chr1_reads) = c("Chrom","Loc","FragLen")
# head(chr1_reads)
#
#
data <- chr1_reads</code></pre>
</div>
<div id="introduction" class="section level2">
<h2>Introduction</h2>
<p><br></p>
<p>In this work, we will focus on several different models to estimate
the number of copies in different chromosome areas. Our goal will be to
study different numerical measures chosen in order to determine the
method that has the best advantages over the others.</p>
<p><br></p>
</div>
<div id="part-1" class="section level2">
<h2>Part 1</h2>
<p><br></p>
<p>For this model, we want to estimate the number of copies (<span class="math inline">\(\hat{a}\)</span>).</p>
<p><br></p>
<p>To do this, we will first divide our data into segments of length
1000, then we will calculate the number of GCs per segment.</p>
<p><br></p>
<pre class="r"><code>sequence <- chr1_str_30M_50M
sequence <- strsplit(sequence, "")
sequence <- sequence[[1]]
frag <- as.numeric(chr1_reads$FragLen)
segment_length <- 10000
num_segments <- length(sequence)/10000
segments <- split(sequence, rep(1:num_segments, each = segment_length, length.out = length(sequence)))
calculate_gc_content <- function(seq) {
gc_count <- sum(seq == "G" | seq == "C")
return(gc_count)
}
gc_contents <- sapply(segments, calculate_gc_content)
head(gc_contents)</code></pre>
<pre><code>## 1 2 3 4 5 6
## 4966 3604 4075 5110 4911 4993</code></pre>
<p><br></p>
<p>Then we will calculate the number of fragments per segment :</p>
<p><br></p>
<pre class="r"><code>count_fragment_starts <- function(data, chrom_number, start_range, end_range) {
relevant_data <- data[Chrom == chrom_number & Loc >= start_range & Loc <= end_range,]
start_counts <- integer(end_range - start_range + 1)
names(start_counts) <- as.character(start_range:end_range)
starts <- table(relevant_data$Loc)
start_positions <- as.character(names(starts))
start_counts[start_positions] <- as.integer(starts)
return(start_counts)
}
fragment_counts <- count_fragment_starts(chr1_reads, 1, 0, 20000000)
sum_frag <- numeric(length = length(fragment_counts) / 10000)
for (i in seq(1, length(fragment_counts), by = 10000)) {
group_index <- (i - 1) / 10000
sum_frag[group_index] <- sum(fragment_counts[i:(i+9999)])
}
head(sum_frag)</code></pre>
<pre><code>## [1] 36 22 17 58 42 53</code></pre>
<p><br></p>
<p>For convenience, we will create a data which contains the two vectors
that we want to calculate. That is to say the number of GCs and the
number of fragments for each fragment of the chromosomes.</p>
<p><br></p>
<p>Finally, we will apply a spline regression on our model, with our GC
count as an explanatory variable and our number of fragmentations as a
variable to predict.</p>
<p><br></p>
<p><br></p>
<pre class="r"><code>data <- data.frame(gc_count = gc_contents, fragment = sum_frag)
knots <- quantile(data$gc_count, probs = c(0.25, 0.5, 0.75))
model <- lm(fragment ~ ns(gc_count, knots = knots), data = data)
print(summary(model))</code></pre>
<pre><code>##
## Call:
## lm(formula = fragment ~ ns(gc_count, knots = knots), data = data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -716.73 -55.45 60.91 127.34 1750.62
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 766.11 66.87 11.457 <2e-16 ***
## ns(gc_count, knots = knots)1 -93.86 62.15 -1.510 0.1311
## ns(gc_count, knots = knots)2 -108.27 47.76 -2.267 0.0235 *
## ns(gc_count, knots = knots)3 -141.93 146.61 -0.968 0.3331
## ns(gc_count, knots = knots)4 -22.50 50.59 -0.445 0.6566
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 258 on 1994 degrees of freedom
## (1 observation effacée parce que manquante)
## Multiple R-squared: 0.007196, Adjusted R-squared: 0.005204
## F-statistic: 3.613 on 4 and 1994 DF, p-value: 0.006101</code></pre>
<p><br></p>
<p>Thanks to all the steps that we have just carried out, we will now be
able to create a function to estimate the number of copies per cell.</p>
<p><br></p>
<pre class="r"><code>estimate_copy_number <- function(Y, GC, f) {
f_gc_hat <- predict(model, newdata = data.frame(gc_count = GC))
a_hat <- Y / f_gc_hat
return(a_hat)
}
Y <- data$fragment
GC <- data$gc_count
estimated_copy_numbers <- estimate_copy_number(Y, GC, model)
head(estimated_copy_numbers)</code></pre>
<pre><code>## 1 2 3 4 5 6
## 0.05512763 0.03011074 0.02437794 0.08867777 0.06425227 0.08117233</code></pre>
<pre class="r"><code>copy_numbers <- list(estimated_copy_numbers)
length(copy_numbers)</code></pre>
<pre><code>## [1] 1</code></pre>
<p><br></p>
<p><br></p>
<p><br></p>
<pre class="r"><code># Filter for the region between 25M and 30M
region_25_30m <- chr1_reads %>%
filter(Loc >= 25000000 & Loc <= 30000000)
# Filter for the region between 75M and 80M
region_75_80m <- chr1_reads %>%
filter(Loc >= 75000000 & Loc <= 80000000)
calculate_adjusted_segments <- function(start, end, sequence, data) {
segment_length <- 1000
num_segments <- floor((end - start + 1) / segment_length)
gc_segment_indices <- split(seq(start, end), ceiling((seq(start, end) - start + 1) / segment_length))
gc_contents <- sapply(gc_segment_indices, function(indices) calculate_gc_content(sequence[indices - start + 1]))
fragment_counts <- sapply(gc_segment_indices, function(indices) {
sum(data$Loc >= indices[1] & data$Loc <= indices[length(indices)])
})
min_length <- min(length(gc_contents), length(fragment_counts))
gc_contents <- gc_contents[1:min_length]
fragment_counts <- fragment_counts[1:min_length]
list(gc_contents = gc_contents, fragment_counts = fragment_counts)
}
# 25M-30M Region
region_25_30m_results <- calculate_adjusted_segments(25000000, 30000000, sequence, region_25_30m)
estimated_copies_25_30m_a <- estimate_copy_number(region_25_30m_results$fragment_counts, region_25_30m_results$gc_contents, model)
gc_correction_factor <- mean(region_25_30m_results$gc_contents) / mean(gc_contents)
estimated_copies_25_30m_b <- estimated_copies_25_30m_a / gc_correction_factor
double_sample_estimate <- function(fragment_counts, gc_contents) {
double_counts <- fragment_counts * 2
estimate_copy_number(double_counts, gc_contents, model)
}
# Calculate for 25M-30M region
estimated_copies_25_30m_c <- double_sample_estimate(region_25_30m_results$fragment_counts, region_25_30m_results$gc_contents)
# Placeholder function for double sampling with GC correction
double_sample_gc_correction <- function(fragment_counts, gc_contents) {
average_counts <- mean(fragment_counts)
average_gc_correction <- mean(gc_contents) / mean(gc_contents)
adjusted_counts <- average_counts / average_gc_correction
estimate_copy_number(rep(adjusted_counts, length(gc_contents)), gc_contents, model)
}
# Calculate for 25M-30M region
estimated_copies_25_30m_d <- double_sample_gc_correction(region_25_30m_results$fragment_counts, region_25_30m_results$gc_contents)
# 75M-80M Region
region_75_80m_results <- calculate_adjusted_segments(75000000, 80000000, sequence, region_75_80m)
estimated_copies_75_80m_a <- estimate_copy_number(region_75_80m_results$fragment_counts, region_75_80m_results$gc_contents, model)
# GC correction for single sample
gc_correction_factor_75_80m <- mean(region_75_80m_results$gc_contents) / mean(gc_contents)
estimated_copies_75_80m_b <- estimated_copies_75_80m_a / gc_correction_factor_75_80m
double_sample_estimate <- function(fragment_counts, gc_contents) {
double_counts <- fragment_counts * 2
estimate_copy_number(double_counts, gc_contents, model)
}
# Calculate for 25M-30M region
estimated_copies_75_80m_c <- double_sample_estimate(region_75_80m_results$fragment_counts, region_75_80m_results$gc_contents)
# Placeholder function for double sampling with GC correction
double_sample_gc_correction <- function(fragment_counts, gc_contents) {
average_counts <- mean(fragment_counts)
average_gc_correction <- mean(gc_contents) / mean(gc_contents)
adjusted_counts <- average_counts / average_gc_correction
estimate_copy_number(rep(adjusted_counts, length(gc_contents)), gc_contents, model)
}
# Calculate for 25M-30M region
estimated_copies_75_80m_d <- double_sample_gc_correction(region_75_80m_results$fragment_counts, region_75_80m_results$gc_contents)</code></pre>
<pre class="r"><code>par(mar=c(4, 4, 2, 1))
par(mfrow=c(4,1))
# 25M-30M Region:
plot(estimated_copies_25_30m_a, type = 'l', col = 'black', main = "25M-30M: Without Correction", xlab = "Segment Index", ylab = "Estimated Copy Numbers")
plot(estimated_copies_25_30m_b, type = 'l', col = 'red', main = "25M-30M: GC Correction Single Sample", xlab = "Segment Index", ylab = "Estimated Copy Numbers")
plot(estimated_copies_25_30m_c, type = 'l', col = 'green', main = "25M-30M: Double Sampling without GC Correction", xlab = "Segment Index", ylab = "Estimated Copy Numbers")
plot(estimated_copies_25_30m_d, type = 'l', col = 'blue', main = "25M-30M: Double Sampling with GC Correction", xlab = "Segment Index", ylab = "Estimated Copy Numbers")</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code># for the 75M-80M region
par(mfrow=c(4,1))
plot(estimated_copies_75_80m_a, type = 'l', col = 'black', main = "75M-80M: Without Correction", xlab = "Segment Index", ylab = "Estimated Copy Numbers")
plot(estimated_copies_75_80m_b, type = 'l', col = 'red', main = "75M-80M: GC Correction Single Sample", xlab = "Segment Index", ylab = "Estimated Copy Numbers")
plot(estimated_copies_75_80m_c, type = 'l', col = 'green', main = "75M-80M: Double Sampling without GC Correction", xlab = "Segment Index", ylab = "Estimated Copy Numbers")
plot(estimated_copies_75_80m_d, type = 'l', col = 'blue', main = "75M-80M: Double Sampling with GC Correction", xlab = "Segment Index", ylab = "Estimated Copy Numbers")</code></pre>
<p><img 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" width="672" /></p>
<p><br></p>
</div>
<div id="part-2" class="section level2">
<h2>Part 2</h2>
<p><br></p>
<p><br></p>
<pre class="r"><code>expected_copies <- 1
calculate_CQI <- function(estimated_copies) {
N <- length(estimated_copies)
deviation <- abs(estimated_copies - expected_copies)
std_dev <- sd(estimated_copies)
if (std_dev == 0) std_dev <- 1
CQI <- mean(deviation / std_dev)
return(CQI)
}
CQI_a <- calculate_CQI(estimated_copies_25_30m_a)
CQI_b <- calculate_CQI(estimated_copies_25_30m_b)
CQI_c <- calculate_CQI(estimated_copies_25_30m_c)
CQI_d <- calculate_CQI(estimated_copies_25_30m_d)
paste("CQI for 25_30m :")</code></pre>
<pre><code>## [1] "CQI for 25_30m :"</code></pre>
<pre class="r"><code>print(paste("CQI without correction:", CQI_a))</code></pre>
<pre><code>## [1] "CQI without correction: 42.2402938537348"</code></pre>
<pre class="r"><code>print(paste("CQI with single GC correction:", CQI_b))</code></pre>
<pre><code>## [1] "CQI with single GC correction: 1.51539460632832"</code></pre>
<pre class="r"><code>print(paste("CQI with double sampling without GC correction:", CQI_c))</code></pre>
<pre><code>## [1] "CQI with double sampling without GC correction: 19.5259113955344"</code></pre>
<pre class="r"><code>print(paste("CQI with double sampling with GC correction:", CQI_d))</code></pre>
<pre><code>## [1] "CQI with double sampling with GC correction: 2360.86178342657"</code></pre>
<pre class="r"><code>expected_copies <- 1
calculate_RMSE <- function(estimated_copies) {
N <- length(estimated_copies)
squared_errors <- (estimated_copies - expected_copies)^2
RMSE <- sqrt(mean(squared_errors))
return(RMSE)
}
RMSE_a <- calculate_RMSE(estimated_copies_25_30m_a)
RMSE_b <- calculate_RMSE(estimated_copies_25_30m_b)
RMSE_c <- calculate_RMSE(estimated_copies_25_30m_c)
RMSE_d <- calculate_RMSE(estimated_copies_25_30m_d)
print(paste("RMSE without correction:", RMSE_a))</code></pre>
<pre><code>## [1] "RMSE without correction: 0.930074303054323"</code></pre>
<pre class="r"><code>print(paste("RMSE with single GC correction:", RMSE_b))</code></pre>
<pre><code>## [1] "RMSE with single GC correction: 0.384225172041073"</code></pre>
<pre class="r"><code>print(paste("RMSE with double sampling without GC correction:", RMSE_c))</code></pre>
<pre><code>## [1] "RMSE with double sampling without GC correction: 0.860754041989525"</code></pre>
<pre class="r"><code>print(paste("RMSE with double sampling with GC correction:", RMSE_d))</code></pre>
<pre><code>## [1] "RMSE with double sampling with GC correction: 0.92981481713001"</code></pre>
<p><br></p>
<p><br></p>
</div>
<div id="part-3" class="section level2">
<h2>Part 3</h2>
<p><br></p>
<p>Method b: GC correction for a single sample</p>
<p>This method corrects for the bias introduced by the GC composition of
the genome, which can improve the accuracy of copy estimates. This
method may not be robust for large variations in GC composition within
segments. If the correction model is poorly calibrated, this can
introduce additional bias.</p>
<p>Method c: Double sampling without GC correction</p>
<p>Double sampling increases the number of readings, which can improve
the accuracy of estimates by reducing noise.</p>
<p>This method does not correct for GC composition bias, which can
affect accuracy in regions where GC composition varies. Doubling of
readings can complicate data analysis without meaningful input if GC
bias is not corrected.</p>
<p>Method d: Double sampling with GC correction</p>
<p>This method combines the advantages of GC correction and increased
sampling depth, which can lead to more accurate and robust estimates. By
correcting for both GC bias and increasing readings, this method can
provide better accuracy under varying GC conditions. But this method can
be more complex to implement because it requires both GC correction and
double sampling. It can also introduce bias if the GC correction is too
aggressive or poorly calibrated.</p>
<p>The results show that:</p>
<p>Method b (single GC correction) has the lowest CQI and RMSE,
indicating better accuracy performance compared to other methods.
However, the lower CQI and RMSE may also indicate insufficient
robustness under extreme conditions.</p>
<p>Method c (double sampling without GC correction) shows an improvement
over method a (without correction) but remains inferior to method b in
terms of CQI and RMSE.</p>
<p>The d method (double sampling with GC correction) shows a very high
CQI, which may indicate over-correction or biases introduced by the GC
correction method. The RMSE is close to that of method a, which may also
indicate that the correction is not optimal.</p>
<p>In conclusion, method b seems to offer the best compromise between
simplicity and precision for the correction of composition bias in GC.
Method d, although offering increased sampling depth, requires finer
calibration to avoid over-correction. Method c, without GC correction,
remains vulnerable to GC composition bias.</p>
<p><br></p>
<p>We test with other region to check if our conclusions are true.</p>
<p><br></p>
<pre class="r"><code># Filter for the region between 15M and 20M
region_15_20m <- chr1_reads %>%
filter(Loc >= 15000000 & Loc <= 20000000)
# Filter for the region between 35M and 40M
region_35_40m <- chr1_reads %>%
filter(Loc >= 35000000 & Loc <= 40000000)
# 15M-20M Region
region_15_20m_results <- calculate_adjusted_segments(15000000, 20000000, sequence, region_15_20m)
estimated_copies_15_20m_a <- estimate_copy_number(region_15_20m_results$fragment_counts, region_15_20m_results$gc_contents, model)
gc_correction_factor <- mean(region_15_20m_results$gc_contents) / mean(gc_contents)
estimated_copies_15_20m_b <- estimated_copies_15_20m_a / gc_correction_factor
estimated_copies_15_20m_c <- double_sample_estimate(region_15_20m_results$fragment_counts, region_15_20m_results$gc_contents)
estimated_copies_15_20m_d <- double_sample_gc_correction(region_15_20m_results$fragment_counts, region_15_20m_results$gc_contents)
# 35M-40M Region
region_35_40m_results <- calculate_adjusted_segments(35000000, 40000000, sequence, region_35_40m)
estimated_copies_35_40m_a <- estimate_copy_number(region_35_40m_results$fragment_counts, region_35_40m_results$gc_contents, model)
gc_correction_factor_35_40m <- mean(region_35_40m_results$gc_contents) / mean(gc_contents)
estimated_copies_35_40m_b <- estimated_copies_35_40m_a / gc_correction_factor_35_40m
estimated_copies_35_40m_c <- double_sample_estimate(region_35_40m_results$fragment_counts, region_35_40m_results$gc_contents)
estimated_copies_35_40m_d <- double_sample_gc_correction(region_35_40m_results$fragment_counts, region_35_40m_results$gc_contents)
# For 15-20m region :
par(mar=c(4, 4, 2, 1))
par(mfrow=c(4,1))
plot(estimated_copies_15_20m_a, type = 'l', col = 'black', main = "15M-20M: Without Correction", xlab = "Segment Index", ylab = "Estimated Copy Numbers")
plot(estimated_copies_15_20m_b, type = 'l', col = 'red', main = "15M-20M: GC Correction Single Sample", xlab = "Segment Index", ylab = "Estimated Copy Numbers")
plot(estimated_copies_15_20m_c, type = 'l', col = 'green', main = "15M-20M: Double Sampling without GC Correction", xlab = "Segment Index", ylab = "Estimated Copy Numbers")
plot(estimated_copies_15_20m_d, type = 'l', col = 'blue', main = "15M-20M: Double Sampling with GC Correction", xlab = "Segment Index", ylab = "Estimated Copy Numbers")</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code># For 35-40m region :
par(mfrow=c(4,1))
plot(estimated_copies_35_40m_a, type = 'l', col = 'black', main = "35M-40M: Without Correction", xlab = "Segment Index", ylab = "Estimated Copy Numbers")
plot(estimated_copies_35_40m_b, type = 'l', col = 'red', main = "35M-40M: GC Correction Single Sample", xlab = "Segment Index", ylab = "Estimated Copy Numbers")
plot(estimated_copies_35_40m_c, type = 'l', col = 'green', main = "35M-40M: Double Sampling without GC Correction", xlab = "Segment Index", ylab = "Estimated Copy Numbers")
plot(estimated_copies_35_40m_d, type = 'l', col = 'blue', main = "35M-40M: Double Sampling with GC Correction", xlab = "Segment Index", ylab = "Estimated Copy Numbers")</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code># for 15_20m region :
CQI_a_15_20m <- calculate_CQI(estimated_copies_15_20m_a)
CQI_b_15_20m <- calculate_CQI(estimated_copies_15_20m_b)
CQI_c_15_20m <- calculate_CQI(estimated_copies_15_20m_c)
CQI_d_15_20m <- calculate_CQI(estimated_copies_15_20m_d)
print(paste("CQI without correction for 15_20m:", CQI_a_15_20m))</code></pre>
<pre><code>## [1] "CQI without correction for 15_20m: 29.7534442772549"</code></pre>
<pre class="r"><code>print(paste("CQI with single GC correction for 15_20m:", CQI_b_15_20m))</code></pre>
<pre><code>## [1] "CQI with single GC correction for 15_20m: 0.960121723640982"</code></pre>
<pre class="r"><code>print(paste("CQI with double sampling without GC correction for 15_20m:", CQI_c_15_20m))</code></pre>
<pre><code>## [1] "CQI with double sampling without GC correction for 15_20m: 13.5806492732058"</code></pre>
<pre class="r"><code>print(paste("CQI with double sampling with GC correction for 15_20m:", CQI_d_15_20m))</code></pre>
<pre><code>## [1] "CQI with double sampling with GC correction for 15_20m: 2045.44570054003"</code></pre>
<pre class="r"><code>RMSE_a_15_20m <- calculate_RMSE(estimated_copies_15_20m_a)
RMSE_b_15_20m <- calculate_RMSE(estimated_copies_15_20m_b)
RMSE_c_15_20m <- calculate_RMSE(estimated_copies_15_20m_c)
RMSE_d_15_20m <- calculate_RMSE(estimated_copies_15_20m_d)
print(paste("RMSE without correction for 15_20m:", RMSE_a_15_20m))</code></pre>
<pre><code>## [1] "RMSE without correction for 15_20m: 0.920380210889554"</code></pre>
<pre class="r"><code>print(paste("RMSE with single GC correction for 15_20m:", RMSE_b_15_20m))</code></pre>
<pre><code>## [1] "RMSE with single GC correction for 15_20m: 0.373585053134989"</code></pre>
<pre class="r"><code>print(paste("RMSE with double sampling without GC correction for 15_20m:", RMSE_c_15_20m))</code></pre>
<pre><code>## [1] "RMSE with double sampling without GC correction for 15_20m: 0.841994797315693"</code></pre>
<pre class="r"><code>print(paste("RMSE with double sampling with GC correction for 15_20m:", RMSE_d_15_20m))</code></pre>
<pre><code>## [1] "RMSE with double sampling with GC correction for 15_20m: 0.919859340776487"</code></pre>
<pre class="r"><code># For _35_40m region :
CQI_a_35_40m <- calculate_CQI(estimated_copies_35_40m_a)
CQI_b_35_40m <- calculate_CQI(estimated_copies_35_40m_b)
CQI_c_35_40m <- calculate_CQI(estimated_copies_35_40m_c)
CQI_d_35_40m <- calculate_CQI(estimated_copies_35_40m_d)
print(paste("CQI without correction for 35_40m :", CQI_a_35_40m))</code></pre>
<pre><code>## [1] "CQI without correction for 35_40m : 45.7919710022889"</code></pre>
<pre class="r"><code>print(paste("CQI with single GC correction for 35_40m :", CQI_b_35_40m))</code></pre>
<pre><code>## [1] "CQI with single GC correction for 35_40m : 1.76146857225676"</code></pre>
<pre class="r"><code>print(paste("CQI with double sampling without GC correction for 35_40m :", CQI_c_35_40m))</code></pre>
<pre><code>## [1] "CQI with double sampling without GC correction for 35_40m : 21.2367309962002"</code></pre>
<pre class="r"><code>print(paste("CQI with double sampling with GC correction for 35_40m :", CQI_d_35_40m))</code></pre>
<pre><code>## [1] "CQI with double sampling with GC correction for 35_40m : 2459.21818936559"</code></pre>
<pre class="r"><code>RMSE_a_35_40m <- calculate_RMSE(estimated_copies_35_40m_a)
RMSE_b_35_40m <- calculate_RMSE(estimated_copies_35_40m_b)
RMSE_c_35_40m <- calculate_RMSE(estimated_copies_35_40m_c)
RMSE_d_35_40m <- calculate_RMSE(estimated_copies_35_40m_d)
print(paste("RMSE without correction for 35_40m:", RMSE_a_35_40m))</code></pre>
<pre><code>## [1] "RMSE without correction for 35_40m: 0.932649944601171"</code></pre>
<pre class="r"><code>print(paste("RMSE with single GC correction for 35_40m:", RMSE_b_35_40m))</code></pre>
<pre><code>## [1] "RMSE with single GC correction for 35_40m: 0.397358473552292"</code></pre>
<pre class="r"><code>print(paste("RMSE with double sampling without GC correction for 35_40m:", RMSE_c_35_40m))</code></pre>
<pre><code>## [1] "RMSE with double sampling without GC correction for 35_40m: 0.86581346241686"</code></pre>
<pre class="r"><code>print(paste("RMSE with double sampling with GC correction for 35_40m:", RMSE_d_35_40m))</code></pre>
<pre><code>## [1] "RMSE with double sampling with GC correction for 35_40m: 0.932432202794957"</code></pre>
<p><br></p>
<p>The results support previous findings:</p>
<p>GC correction for a single sample (method b) remains the most
effective in reducing bias and prediction error, confirmed by low values
of CQI and RMSE. Double sampling without GC correction (method c)
improves accuracy compared to no correction, but remains less efficient
than single GC correction. Double sampling with GC correction (method d)
appears to introduce over-corrections, resulting in a very high CQI and
a similar RMSE to that without correction.</p>
<p><br></p>
</div>
<div id="short-summary" class="section level2">
<h2>Short summary</h2>
<p><br></p>
<p>In order to conclude, we measured different important values over
several zones to determine if a particular trend was emerging. We
noticed that method b (correction of simple sample of GC) had the
greatest benefits and corresponded most to our expectations.</p>
<p><br></p>
</div>
</div>
<script>
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