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<UT type="prediction"><UT1-UTC>0.36459</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36428</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36407</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1755</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36396</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1766</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36393</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1776</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36395</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57970</MJD>
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<dataEOP><pole type="prediction"><X>0.1787</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36399</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57971</MJD>
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<dataEOP><pole type="prediction"><X>0.1797</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36400</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57972</MJD>
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<dataEOP><pole type="prediction"><X>0.1807</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36395</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1816</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36378</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57974</MJD>
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<dataEOP><pole type="prediction"><X>0.1826</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36347</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57975</MJD>
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<dataEOP><pole type="prediction"><X>0.1835</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36301</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57976</MJD>
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<dataEOP><pole type="prediction"><X>0.1844</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36241</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57977</MJD>
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<dataEOP><pole type="prediction"><X>0.1853</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36170</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57978</MJD>
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<dataEOP><pole type="prediction"><X>0.1861</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36094</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57979</MJD>
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<dataEOP><pole type="prediction"><X>0.1869</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.36022</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>15</dateDay>
<MJD>57980</MJD>
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<dataEOP><pole type="prediction"><X>0.1877</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35956</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>16</dateDay>
<MJD>57981</MJD>
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<dataEOP><pole type="prediction"><X>0.1885</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35898</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57982</MJD>
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<dataEOP><pole type="prediction"><X>0.1892</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35849</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>18</dateDay>
<MJD>57983</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1900</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35807</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>19</dateDay>
<MJD>57984</MJD>
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<dataEOP><pole type="prediction"><X>0.1907</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35765</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>20</dateDay>
<MJD>57985</MJD>
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<dataEOP><pole type="prediction"><X>0.1913</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35717</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>21</dateDay>
<MJD>57986</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1920</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35660</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>22</dateDay>
<MJD>57987</MJD>
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<dataEOP><pole type="prediction"><X>0.1926</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35590</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57988</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1932</X>
<Y>0.4007</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35510</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>24</dateDay>
<MJD>57989</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1937</X>
<Y>0.3993</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35425</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>25</dateDay>
<MJD>57990</MJD>
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<dataEOP><pole type="prediction"><X>0.1943</X>
<Y>0.3979</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35341</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>26</dateDay>
<MJD>57991</MJD>
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<dataEOP><pole type="prediction"><X>0.1948</X>
<Y>0.3965</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35261</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>27</dateDay>
<MJD>57992</MJD>
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<dataEOP><pole type="prediction"><X>0.1952</X>
<Y>0.3951</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35190</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57993</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1957</X>
<Y>0.3937</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35129</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>29</dateDay>
<MJD>57994</MJD>
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<dataEOP><pole type="prediction"><X>0.1961</X>
<Y>0.3922</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35078</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>30</dateDay>
<MJD>57995</MJD>
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<dataEOP><pole type="prediction"><X>0.1965</X>
<Y>0.3908</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35037</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57996</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1969</X>
<Y>0.3893</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35001</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>01</dateDay>
<MJD>57997</MJD>
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<dataEOP><pole type="prediction"><X>0.1972</X>
<Y>0.3879</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34968</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57998</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1975</X>
<Y>0.3864</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34933</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>03</dateDay>
<MJD>57999</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1978</X>
<Y>0.3849</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34891</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>04</dateDay>
<MJD>58000</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1981</X>
<Y>0.3835</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34838</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>05</dateDay>
<MJD>58001</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1983</X>
<Y>0.3820</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34771</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>06</dateDay>
<MJD>58002</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1985</X>
<Y>0.3805</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34686</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>07</dateDay>
<MJD>58003</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1987</X>
<Y>0.3790</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34585</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>08</dateDay>
<MJD>58004</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1988</X>
<Y>0.3775</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34471</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>09</dateDay>
<MJD>58005</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1989</X>
<Y>0.3760</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34350</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>10</dateDay>
<MJD>58006</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1990</X>
<Y>0.3745</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34228</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>11</dateDay>
<MJD>58007</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1991</X>
<Y>0.3730</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34112</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>12</dateDay>
<MJD>58008</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1991</X>
<Y>0.3715</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34006</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>58009</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1991</X>
<Y>0.3701</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33910</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>14</dateDay>
<MJD>58010</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1991</X>
<Y>0.3686</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33821</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>15</dateDay>
<MJD>58011</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1990</X>
<Y>0.3671</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33736</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>16</dateDay>
<MJD>58012</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1989</X>
<Y>0.3656</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33646</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>17</dateDay>
<MJD>58013</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1988</X>
<Y>0.3641</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33548</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>18</dateDay>
<MJD>58014</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1987</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.33437</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>19</dateDay>
<MJD>58015</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1985</X>
<Y>0.3611</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33315</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>20</dateDay>
<MJD>58016</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1983</X>
<Y>0.3596</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33183</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58017</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1981</X>
<Y>0.3581</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33048</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>22</dateDay>
<MJD>58018</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1978</X>
<Y>0.3566</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32916</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>23</dateDay>
<MJD>58019</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1976</X>
<Y>0.3552</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32790</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>24</dateDay>
<MJD>58020</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1973</X>
<Y>0.3537</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32673</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>25</dateDay>
<MJD>58021</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1969</X>
<Y>0.3522</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32568</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>26</dateDay>
<MJD>58022</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1966</X>
<Y>0.3508</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32472</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>27</dateDay>
<MJD>58023</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1962</X>
<Y>0.3493</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32385</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>28</dateDay>
<MJD>58024</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1958</X>
<Y>0.3479</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32302</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>29</dateDay>
<MJD>58025</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1953</X>
<Y>0.3464</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32218</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>30</dateDay>
<MJD>58026</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1948</X>
<Y>0.3450</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32131</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>58027</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1943</X>
<Y>0.3435</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32033</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>58028</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1938</X>
<Y>0.3421</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31923</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>03</dateDay>
<MJD>58029</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1933</X>
<Y>0.3407</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31796</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>04</dateDay>
<MJD>58030</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1927</X>
<Y>0.3393</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31651</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>05</dateDay>
<MJD>58031</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1921</X>
<Y>0.3379</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31491</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>06</dateDay>
<MJD>58032</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1914</X>
<Y>0.3365</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31320</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>07</dateDay>
<MJD>58033</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1908</X>
<Y>0.3352</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31145</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>08</dateDay>
<MJD>58034</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1901</X>
<Y>0.3338</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30975</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>09</dateDay>
<MJD>58035</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1894</X>
<Y>0.3324</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30816</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>10</dateDay>
<MJD>58036</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1887</X>
<Y>0.3311</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30670</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>11</dateDay>
<MJD>58037</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1879</X>
<Y>0.3298</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30535</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>12</dateDay>
<MJD>58038</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1871</X>
<Y>0.3284</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30406</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>13</dateDay>
<MJD>58039</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1863</X>
<Y>0.3271</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30278</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>14</dateDay>
<MJD>58040</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1855</X>
<Y>0.3258</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30143</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>15</dateDay>
<MJD>58041</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1846</X>
<Y>0.3246</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29999</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>16</dateDay>
<MJD>58042</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1837</X>
<Y>0.3233</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29844</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>17</dateDay>
<MJD>58043</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1828</X>
<Y>0.3220</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29680</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>18</dateDay>
<MJD>58044</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1819</X>
<Y>0.3208</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29512</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>58045</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1810</X>
<Y>0.3196</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29344</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>58046</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1800</X>
<Y>0.3184</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29181</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>21</dateDay>
<MJD>58047</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1790</X>
<Y>0.3172</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29028</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>22</dateDay>
<MJD>58048</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1780</X>
<Y>0.3160</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28885</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>23</dateDay>
<MJD>58049</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1770</X>
<Y>0.3148</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28754</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>24</dateDay>
<MJD>58050</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1759</X>
<Y>0.3137</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28634</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>25</dateDay>
<MJD>58051</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1748</X>
<Y>0.3125</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28520</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>26</dateDay>
<MJD>58052</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1737</X>
<Y>0.3114</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28410</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>27</dateDay>
<MJD>58053</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1726</X>
<Y>0.3103</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28298</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>28</dateDay>
<MJD>58054</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1715</X>
<Y>0.3092</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28181</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>29</dateDay>
<MJD>58055</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1703</X>
<Y>0.3082</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28052</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>30</dateDay>
<MJD>58056</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1691</X>
<Y>0.3071</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27910</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>31</dateDay>
<MJD>58057</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1679</X>
<Y>0.3061</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27751</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>01</dateDay>
<MJD>58058</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1667</X>
<Y>0.3051</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27576</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>02</dateDay>
<MJD>58059</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1655</X>
<Y>0.3041</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27386</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>03</dateDay>
<MJD>58060</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1642</X>
<Y>0.3032</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27188</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>04</dateDay>
<MJD>58061</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1629</X>
<Y>0.3022</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26988</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>05</dateDay>
<MJD>58062</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1617</X>
<Y>0.3013</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26797</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>06</dateDay>
<MJD>58063</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1604</X>
<Y>0.3004</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26618</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>07</dateDay>
<MJD>58064</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1590</X>
<Y>0.2995</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26453</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>08</dateDay>
<MJD>58065</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1577</X>
<Y>0.2986</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26298</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>09</dateDay>
<MJD>58066</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1564</X>
<Y>0.2978</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26149</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>10</dateDay>
<MJD>58067</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1550</X>
<Y>0.2970</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25997</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>11</dateDay>
<MJD>58068</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1536</X>
<Y>0.2962</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25841</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>12</dateDay>
<MJD>58069</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1522</X>
<Y>0.2954</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25677</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>13</dateDay>
<MJD>58070</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1508</X>
<Y>0.2946</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25507</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>14</dateDay>
<MJD>58071</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1494</X>
<Y>0.2939</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25334</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>15</dateDay>
<MJD>58072</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1480</X>
<Y>0.2932</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25164</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>16</dateDay>
<MJD>58073</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1465</X>
<Y>0.2925</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25001</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>17</dateDay>
<MJD>58074</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1451</X>
<Y>0.2918</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24848</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>18</dateDay>
<MJD>58075</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1436</X>
<Y>0.2912</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24708</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>19</dateDay>
<MJD>58076</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1421</X>
<Y>0.2906</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24580</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>20</dateDay>
<MJD>58077</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1406</X>
<Y>0.2900</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24463</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>21</dateDay>
<MJD>58078</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1391</X>
<Y>0.2894</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24355</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>22</dateDay>
<MJD>58079</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1376</X>
<Y>0.2888</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24252</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>23</dateDay>
<MJD>58080</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1361</X>
<Y>0.2883</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24150</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>24</dateDay>
<MJD>58081</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1346</X>
<Y>0.2878</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24045</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>58082</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1330</X>
<Y>0.2873</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23933</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>26</dateDay>
<MJD>58083</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1315</X>
<Y>0.2869</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23812</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>27</dateDay>
<MJD>58084</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1299</X>
<Y>0.2865</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23680</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>28</dateDay>
<MJD>58085</MJD>
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<dataEOP><pole type="prediction"><X>0.1284</X>
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<UT type="prediction"><UT1-UTC>0.23536</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23381</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1252</X>
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<UT type="prediction"><UT1-UTC>0.23217</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1237</X>
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<UT type="prediction"><UT1-UTC>0.23050</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1221</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22886</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1205</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22731</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1189</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22591</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1173</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22464</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1157</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22341</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1141</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22214</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1125</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22079</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1109</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21932</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1093</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21783</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1077</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21633</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1061</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21481</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1045</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21335</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1029</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21201</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1013</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21078</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0997</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20970</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58104</MJD>
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<dataEOP><pole type="prediction"><X>0.0981</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20875</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0965</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20791</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0949</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20719</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0933</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20655</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58108</MJD>
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<dataEOP><pole type="prediction"><X>0.0917</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20592</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58109</MJD>
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<dataEOP><pole type="prediction"><X>0.0902</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20520</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</time>
<dataEOP><pole type="prediction"><X>0.0886</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20437</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58111</MJD>
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<dataEOP><pole type="prediction"><X>0.0870</X>
<Y>0.2844</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20340</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>25</dateDay>
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<dataEOP><pole type="prediction"><X>0.0855</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20234</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58113</MJD>
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<dataEOP><pole type="prediction"><X>0.0839</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20105</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58114</MJD>
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<dataEOP><pole type="prediction"><X>0.0824</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19959</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58115</MJD>
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<dataEOP><pole type="prediction"><X>0.0808</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19806</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0793</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19652</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0778</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19499</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0762</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19355</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0747</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19223</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0732</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19098</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0718</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18977</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58122</MJD>
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<dataEOP><pole type="prediction"><X>0.0703</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18855</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0688</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18728</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58124</MJD>
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<dataEOP><pole type="prediction"><X>0.0674</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18593</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58125</MJD>
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<dataEOP><pole type="prediction"><X>0.0659</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18451</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58126</MJD>
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<dataEOP><pole type="prediction"><X>0.0645</X>
<Y>0.2911</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18307</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58127</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0631</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18169</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58128</MJD>
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<dataEOP><pole type="prediction"><X>0.0617</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18036</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0603</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17908</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0589</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17789</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58131</MJD>
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<dataEOP><pole type="prediction"><X>0.0576</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17682</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58132</MJD>
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<dataEOP><pole type="prediction"><X>0.0562</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17588</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58133</MJD>
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<dataEOP><pole type="prediction"><X>0.0549</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17503</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58134</MJD>
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<dataEOP><pole type="prediction"><X>0.0536</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17424</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58135</MJD>
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<dataEOP><pole type="prediction"><X>0.0523</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17345</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58136</MJD>
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<dataEOP><pole type="prediction"><X>0.0510</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17259</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58137</MJD>
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<dataEOP><pole type="prediction"><X>0.0497</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17161</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58138</MJD>
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<dataEOP><pole type="prediction"><X>0.0485</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17051</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58139</MJD>
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<dataEOP><pole type="prediction"><X>0.0473</X>
<Y>0.3010</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16931</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58140</MJD>
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<dataEOP><pole type="prediction"><X>0.0461</X>
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<UT type="prediction"><UT1-UTC>0.16795</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58141</MJD>
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<dataEOP><pole type="prediction"><X>0.0449</X>
<Y>0.3029</Y>
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<UT type="prediction"><UT1-UTC>0.16650</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58142</MJD>
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<dataEOP><pole type="prediction"><X>0.0437</X>
<Y>0.3038</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16500</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58143</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0425</X>
<Y>0.3048</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16346</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58144</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0414</X>
<Y>0.3058</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16187</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>27</dateDay>
<MJD>58145</MJD>
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<dataEOP><pole type="prediction"><X>0.0403</X>
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<UT type="prediction"><UT1-UTC>0.16029</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0392</X>
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<UT type="prediction"><UT1-UTC>0.15876</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58147</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0381</X>
<Y>0.3088</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15728</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58148</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0371</X>
<Y>0.3099</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15584</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58149</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0360</X>
<Y>0.3110</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15437</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58150</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0350</X>
<Y>0.3121</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15281</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58151</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0340</X>
<Y>0.3132</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15111</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58152</MJD>
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<dataEOP><pole type="prediction"><X>0.0331</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14931</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0321</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14746</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58154</MJD>
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<dataEOP><pole type="prediction"><X>0.0312</X>
<Y>0.3166</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14563</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58155</MJD>
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<dataEOP><pole type="prediction"><X>0.0303</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14394</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58156</MJD>
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<dataEOP><pole type="prediction"><X>0.0294</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14238</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58157</MJD>
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<dataEOP><pole type="prediction"><X>0.0286</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14096</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58158</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0278</X>
<Y>0.3213</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13968</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58159</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0269</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13857</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>11</dateDay>
<MJD>58160</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0262</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13761</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58161</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0254</X>
<Y>0.3250</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13674</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>13</dateDay>
<MJD>58162</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0247</X>
<Y>0.3263</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13592</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>14</dateDay>
<MJD>58163</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0240</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13508</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58164</MJD>
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<dataEOP><pole type="prediction"><X>0.0233</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13415</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58165</MJD>
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<dataEOP><pole type="prediction"><X>0.0226</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13302</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58166</MJD>
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<dataEOP><pole type="prediction"><X>0.0220</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13170</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58167</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0214</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13022</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58168</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0208</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12863</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58169</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0203</X>
<Y>0.3354</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12698</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58170</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0197</X>
<Y>0.3367</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12532</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>22</dateDay>
<MJD>58171</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0192</X>
<Y>0.3381</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12370</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>23</dateDay>
<MJD>58172</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0187</X>
<Y>0.3394</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12215</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>24</dateDay>
<MJD>58173</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0183</X>
<Y>0.3408</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12065</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>25</dateDay>
<MJD>58174</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0179</X>
<Y>0.3421</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11915</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>26</dateDay>
<MJD>58175</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0175</X>
<Y>0.3435</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11767</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>27</dateDay>
<MJD>58176</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0171</X>
<Y>0.3449</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11615</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>28</dateDay>
<MJD>58177</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0168</X>
<Y>0.3463</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11448</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58178</MJD>
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<dataEOP><pole type="prediction"><X>0.0164</X>
<Y>0.3477</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11258</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58179</MJD>
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<dataEOP><pole type="prediction"><X>0.0162</X>
<Y>0.3491</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11056</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58180</MJD>
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<dataEOP><pole type="prediction"><X>0.0159</X>
<Y>0.3505</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10845</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>04</dateDay>
<MJD>58181</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0157</X>
<Y>0.3519</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10631</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58182</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0155</X>
<Y>0.3533</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10417</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58183</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0153</X>
<Y>0.3547</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10208</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58184</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0151</X>
<Y>0.3562</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10007</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>08</dateDay>
<MJD>58185</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0150</X>
<Y>0.3576</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09815</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58186</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0149</X>
<Y>0.3590</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09641</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>10</dateDay>
<MJD>58187</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0148</X>
<Y>0.3604</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09483</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>11</dateDay>
<MJD>58188</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0148</X>
<Y>0.3618</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09332</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>12</dateDay>
<MJD>58189</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0148</X>
<Y>0.3633</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09184</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58190</MJD>
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<dataEOP><pole type="prediction"><X>0.0148</X>
<Y>0.3647</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09039</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>14</dateDay>
<MJD>58191</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0148</X>
<Y>0.3661</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08890</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58192</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0149</X>
<Y>0.3676</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08732</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58193</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0150</X>
<Y>0.3690</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08565</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58194</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0151</X>
<Y>0.3704</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08387</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58195</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0153</X>
<Y>0.3718</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08196</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>19</dateDay>
<MJD>58196</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0154</X>
<Y>0.3732</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08001</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>20</dateDay>
<MJD>58197</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0156</X>
<Y>0.3747</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07805</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58198</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0159</X>
<Y>0.3761</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07612</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58199</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0161</X>
<Y>0.3775</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07428</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58200</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0164</X>
<Y>0.3789</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07250</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58201</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0167</X>
<Y>0.3803</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07086</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58202</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0171</X>
<Y>0.3817</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06924</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58203</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0174</X>
<Y>0.3831</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06759</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>27</dateDay>
<MJD>58204</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0178</X>
<Y>0.3845</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06586</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>28</dateDay>
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