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<UT type="prediction"><UT1-UTC>0.37343</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37304</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.37253</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.37189</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.37114</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.37031</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36948</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36869</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36802</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36750</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36710</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36678</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36647</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36613</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36574</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36531</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36488</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36448</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36413</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36388</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36373</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36368</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36372</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36385</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36404</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1541</X>
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<UT type="prediction"><UT1-UTC>0.36425</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36443</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36456</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36458</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36447</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.36423</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36387</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36341</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36292</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36243</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36202</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36171</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36150</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36134</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36119</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36098</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36067</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36027</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1778</X>
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<UT type="prediction"><UT1-UTC>0.35982</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35935</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35892</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35856</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35829</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35814</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35808</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35811</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35819</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35829</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35836</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35825</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35799</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35757</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35701</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35633</UT1-UTC>
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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>0.1938</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35560</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57979</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1945</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35488</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>15</dateDay>
<MJD>57980</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1952</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35421</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>16</dateDay>
<MJD>57981</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1958</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35362</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>17</dateDay>
<MJD>57982</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1964</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35312</UT1-UTC>
</UT>
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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>0.1970</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35269</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>19</dateDay>
<MJD>57984</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1976</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35226</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>20</dateDay>
<MJD>57985</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1982</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35178</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57986</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1987</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35120</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57987</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1992</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.35049</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57988</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1996</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34967</UT1-UTC>
</UT>
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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>0.2001</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34880</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>25</dateDay>
<MJD>57990</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2005</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34792</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>26</dateDay>
<MJD>57991</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2008</X>
<Y>0.3900</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34710</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>27</dateDay>
<MJD>57992</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2012</X>
<Y>0.3885</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34635</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>28</dateDay>
<MJD>57993</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2015</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34573</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>29</dateDay>
<MJD>57994</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2018</X>
<Y>0.3854</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34521</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>30</dateDay>
<MJD>57995</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2020</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34477</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>31</dateDay>
<MJD>57996</MJD>
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<dataEOP><pole type="prediction"><X>0.2023</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34440</UT1-UTC>
</UT>
</dataEOP>
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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>0.2025</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34405</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>02</dateDay>
<MJD>57998</MJD>
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<dataEOP><pole type="prediction"><X>0.2026</X>
<Y>0.3792</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34369</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>03</dateDay>
<MJD>57999</MJD>
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<dataEOP><pole type="prediction"><X>0.2028</X>
<Y>0.3776</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34326</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>0.2029</X>
<Y>0.3761</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34272</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>05</dateDay>
<MJD>58001</MJD>
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<dataEOP><pole type="prediction"><X>0.2030</X>
<Y>0.3745</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34203</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>06</dateDay>
<MJD>58002</MJD>
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<dataEOP><pole type="prediction"><X>0.2030</X>
<Y>0.3729</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34117</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>07</dateDay>
<MJD>58003</MJD>
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<dataEOP><pole type="prediction"><X>0.2031</X>
<Y>0.3713</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34015</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>08</dateDay>
<MJD>58004</MJD>
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<dataEOP><pole type="prediction"><X>0.2030</X>
<Y>0.3698</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33900</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>09</dateDay>
<MJD>58005</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2030</X>
<Y>0.3682</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33777</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>10</dateDay>
<MJD>58006</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2029</X>
<Y>0.3666</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33654</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>11</dateDay>
<MJD>58007</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2029</X>
<Y>0.3650</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33538</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>12</dateDay>
<MJD>58008</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2027</X>
<Y>0.3635</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33431</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>13</dateDay>
<MJD>58009</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2026</X>
<Y>0.3619</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33334</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>14</dateDay>
<MJD>58010</MJD>
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<dataEOP><pole type="prediction"><X>0.2024</X>
<Y>0.3603</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33245</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>15</dateDay>
<MJD>58011</MJD>
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<dataEOP><pole type="prediction"><X>0.2022</X>
<Y>0.3588</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33158</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58012</MJD>
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<dataEOP><pole type="prediction"><X>0.2019</X>
<Y>0.3572</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33068</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58013</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2017</X>
<Y>0.3556</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32969</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58014</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2014</X>
<Y>0.3541</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32858</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58015</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2010</X>
<Y>0.3525</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32735</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>20</dateDay>
<MJD>58016</MJD>
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<dataEOP><pole type="prediction"><X>0.2007</X>
<Y>0.3510</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32604</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>0.2003</X>
<Y>0.3494</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32469</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>22</dateDay>
<MJD>58018</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1999</X>
<Y>0.3479</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32337</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58019</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1994</X>
<Y>0.3463</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32212</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>24</dateDay>
<MJD>58020</MJD>
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<dataEOP><pole type="prediction"><X>0.1990</X>
<Y>0.3448</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32097</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>0.1985</X>
<Y>0.3433</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31993</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>26</dateDay>
<MJD>58022</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1979</X>
<Y>0.3418</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31899</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>27</dateDay>
<MJD>58023</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1974</X>
<Y>0.3403</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31813</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>28</dateDay>
<MJD>58024</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1968</X>
<Y>0.3388</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31731</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58025</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1962</X>
<Y>0.3373</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31650</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>30</dateDay>
<MJD>58026</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1955</X>
<Y>0.3358</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31564</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>01</dateDay>
<MJD>58027</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1949</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31469</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>02</dateDay>
<MJD>58028</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1942</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31361</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>03</dateDay>
<MJD>58029</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1934</X>
<Y>0.3314</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31236</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>04</dateDay>
<MJD>58030</MJD>
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<dataEOP><pole type="prediction"><X>0.1927</X>
<Y>0.3300</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31094</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>05</dateDay>
<MJD>58031</MJD>
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<dataEOP><pole type="prediction"><X>0.1919</X>
<Y>0.3286</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30936</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58032</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1911</X>
<Y>0.3272</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30768</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>07</dateDay>
<MJD>58033</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1903</X>
<Y>0.3258</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30596</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>08</dateDay>
<MJD>58034</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1894</X>
<Y>0.3244</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30429</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>09</dateDay>
<MJD>58035</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1886</X>
<Y>0.3230</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30273</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>10</dateDay>
<MJD>58036</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1876</X>
<Y>0.3216</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30130</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>11</dateDay>
<MJD>58037</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1867</X>
<Y>0.3203</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29998</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
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<MJD>58038</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1858</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.29873</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58039</MJD>
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<dataEOP><pole type="prediction"><X>0.1848</X>
<Y>0.3176</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29748</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>14</dateDay>
<MJD>58040</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1838</X>
<Y>0.3163</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29617</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>15</dateDay>
<MJD>58041</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1828</X>
<Y>0.3150</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29476</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>16</dateDay>
<MJD>58042</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1817</X>
<Y>0.3137</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29325</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>17</dateDay>
<MJD>58043</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1806</X>
<Y>0.3125</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29165</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>18</dateDay>
<MJD>58044</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1795</X>
<Y>0.3112</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29000</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>19</dateDay>
<MJD>58045</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1784</X>
<Y>0.3100</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28836</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>20</dateDay>
<MJD>58046</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1773</X>
<Y>0.3088</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28678</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>21</dateDay>
<MJD>58047</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1761</X>
<Y>0.3076</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28528</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58048</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1749</X>
<Y>0.3064</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28391</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>23</dateDay>
<MJD>58049</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1737</X>
<Y>0.3053</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28264</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>24</dateDay>
<MJD>58050</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1725</X>
<Y>0.3042</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28148</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>25</dateDay>
<MJD>58051</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1712</X>
<Y>0.3030</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28039</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>26</dateDay>
<MJD>58052</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1700</X>
<Y>0.3019</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27934</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>27</dateDay>
<MJD>58053</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1687</X>
<Y>0.3009</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27827</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>0.1674</X>
<Y>0.2998</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27714</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>29</dateDay>
<MJD>58055</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1660</X>
<Y>0.2988</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27591</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>30</dateDay>
<MJD>58056</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1647</X>
<Y>0.2977</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27454</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>0.1633</X>
<Y>0.2968</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27301</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>0.1619</X>
<Y>0.2958</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27132</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>0.1605</X>
<Y>0.2948</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26949</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>0.1591</X>
<Y>0.2939</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26759</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>0.1577</X>
<Y>0.2930</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26570</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>0.1562</X>
<Y>0.2921</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26389</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>0.1548</X>
<Y>0.2912</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26223</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>0.1533</X>
<Y>0.2904</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26070</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>0.1518</X>
<Y>0.2896</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25929</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>09</dateDay>
<MJD>58066</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1503</X>
<Y>0.2888</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25791</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>0.1488</X>
<Y>0.2880</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25651</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>0.1472</X>
<Y>0.2873</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25504</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>0.1457</X>
<Y>0.2865</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25349</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>0.1441</X>
<Y>0.2858</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25186</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>0.1425</X>
<Y>0.2852</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25019</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>0.1409</X>
<Y>0.2845</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24852</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58073</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1393</X>
<Y>0.2839</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24690</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58074</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1377</X>
<Y>0.2833</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24535</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58075</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1361</X>
<Y>0.2827</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24391</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>0.1345</X>
<Y>0.2822</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24257</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>0.1328</X>
<Y>0.2817</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24134</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>0.1312</X>
<Y>0.2812</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24019</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>0.1295</X>
<Y>0.2807</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23910</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>23</dateDay>
<MJD>58080</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1279</X>
<Y>0.2802</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23802</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>24</dateDay>
<MJD>58081</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1262</X>
<Y>0.2798</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23691</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>25</dateDay>
<MJD>58082</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1245</X>
<Y>0.2794</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23572</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58083</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1228</X>
<Y>0.2791</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23443</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>27</dateDay>
<MJD>58084</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1211</X>
<Y>0.2787</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23302</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>28</dateDay>
<MJD>58085</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1194</X>
<Y>0.2784</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23147</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>29</dateDay>
<MJD>58086</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1177</X>
<Y>0.2781</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22978</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>30</dateDay>
<MJD>58087</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1160</X>
<Y>0.2779</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22799</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>01</dateDay>
<MJD>58088</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1143</X>
<Y>0.2776</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22614</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>02</dateDay>
<MJD>58089</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1126</X>
<Y>0.2774</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22433</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58090</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1109</X>
<Y>0.2772</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22262</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>04</dateDay>
<MJD>58091</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1092</X>
<Y>0.2771</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22106</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58092</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1074</X>
<Y>0.2770</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21965</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58093</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1057</X>
<Y>0.2769</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21834</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>07</dateDay>
<MJD>58094</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1040</X>
<Y>0.2768</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21706</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58095</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1023</X>
<Y>0.2768</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21576</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58096</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1005</X>
<Y>0.2767</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21440</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>10</dateDay>
<MJD>58097</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0988</X>
<Y>0.2768</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21299</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>11</dateDay>
<MJD>58098</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0971</X>
<Y>0.2768</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21155</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>12</dateDay>
<MJD>58099</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0954</X>
<Y>0.2769</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21012</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>13</dateDay>
<MJD>58100</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0937</X>
<Y>0.2770</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20871</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>14</dateDay>
<MJD>58101</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0919</X>
<Y>0.2771</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20737</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>15</dateDay>
<MJD>58102</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0902</X>
<Y>0.2772</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20613</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>16</dateDay>
<MJD>58103</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0885</X>
<Y>0.2774</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20501</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>17</dateDay>
<MJD>58104</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0868</X>
<Y>0.2776</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20399</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>18</dateDay>
<MJD>58105</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0851</X>
<Y>0.2778</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20307</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>19</dateDay>
<MJD>58106</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0834</X>
<Y>0.2781</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20221</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>20</dateDay>
<MJD>58107</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0817</X>
<Y>0.2784</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20137</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>21</dateDay>
<MJD>58108</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0800</X>
<Y>0.2787</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20052</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>22</dateDay>
<MJD>58109</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0784</X>
<Y>0.2790</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19963</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>23</dateDay>
<MJD>58110</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0767</X>
<Y>0.2794</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19868</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>24</dateDay>
<MJD>58111</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0750</X>
<Y>0.2798</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19763</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>25</dateDay>
<MJD>58112</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0734</X>
<Y>0.2802</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19645</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>26</dateDay>
<MJD>58113</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0717</X>
<Y>0.2807</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19518</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>27</dateDay>
<MJD>58114</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0701</X>
<Y>0.2811</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19383</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>28</dateDay>
<MJD>58115</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0685</X>
<Y>0.2816</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19244</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>29</dateDay>
<MJD>58116</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0669</X>
<Y>0.2821</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19103</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>30</dateDay>
<MJD>58117</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0653</X>
<Y>0.2827</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18966</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>58118</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0637</X>
<Y>0.2833</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18839</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>58119</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0621</X>
<Y>0.2839</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18723</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>02</dateDay>
<MJD>58120</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0605</X>
<Y>0.2845</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18617</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>03</dateDay>
<MJD>58121</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0590</X>
<Y>0.2851</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18508</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>04</dateDay>
<MJD>58122</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0574</X>
<Y>0.2858</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18389</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>05</dateDay>
<MJD>58123</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0559</X>
<Y>0.2865</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18257</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>06</dateDay>
<MJD>58124</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0544</X>
<Y>0.2872</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18113</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>07</dateDay>
<MJD>58125</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0529</X>
<Y>0.2880</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17966</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>08</dateDay>
<MJD>58126</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0514</X>
<Y>0.2887</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17823</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>09</dateDay>
<MJD>58127</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0499</X>
<Y>0.2895</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17681</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>10</dateDay>
<MJD>58128</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0484</X>
<Y>0.2904</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17548</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>11</dateDay>
<MJD>58129</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0470</X>
<Y>0.2912</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17429</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>12</dateDay>
<MJD>58130</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0456</X>
<Y>0.2921</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17323</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>13</dateDay>
<MJD>58131</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0442</X>
<Y>0.2930</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17230</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>14</dateDay>
<MJD>58132</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0428</X>
<Y>0.2939</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17150</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>15</dateDay>
<MJD>58133</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0414</X>
<Y>0.2948</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17078</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>16</dateDay>
<MJD>58134</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0401</X>
<Y>0.2958</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17013</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>17</dateDay>
<MJD>58135</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0387</X>
<Y>0.2967</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16953</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>18</dateDay>
<MJD>58136</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0374</X>
<Y>0.2977</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16889</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>19</dateDay>
<MJD>58137</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0361</X>
<Y>0.2987</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16813</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>20</dateDay>
<MJD>58138</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0348</X>
<Y>0.2998</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16723</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>21</dateDay>
<MJD>58139</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0336</X>
<Y>0.3008</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16619</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>22</dateDay>
<MJD>58140</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0323</X>
<Y>0.3019</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16505</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>23</dateDay>
<MJD>58141</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0311</X>
<Y>0.3030</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16371</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>24</dateDay>
<MJD>58142</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0299</X>
<Y>0.3042</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16223</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>25</dateDay>
<MJD>58143</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0287</X>
<Y>0.3053</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16073</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>26</dateDay>
<MJD>58144</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0276</X>
<Y>0.3065</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15926</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>27</dateDay>
<MJD>58145</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0265</X>
<Y>0.3076</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15780</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>28</dateDay>
<MJD>58146</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0254</X>
<Y>0.3088</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15643</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>29</dateDay>
<MJD>58147</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0243</X>
<Y>0.3100</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15513</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>30</dateDay>
<MJD>58148</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0232</X>
<Y>0.3113</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15385</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>31</dateDay>
<MJD>58149</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0222</X>
<Y>0.3125</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15254</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>01</dateDay>
<MJD>58150</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0212</X>
<Y>0.3138</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15116</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>02</dateDay>
<MJD>58151</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0202</X>
<Y>0.3151</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14970</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>03</dateDay>
<MJD>58152</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0192</X>
<Y>0.3164</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14815</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>04</dateDay>
<MJD>58153</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0183</X>
<Y>0.3177</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14653</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>05</dateDay>
<MJD>58154</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0174</X>
<Y>0.3190</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14491</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>58155</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0165</X>
<Y>0.3203</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14338</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>58156</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0156</X>
<Y>0.3217</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14193</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>08</dateDay>
<MJD>58157</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0148</X>
<Y>0.3231</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14054</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0140</X>
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<UT type="prediction"><UT1-UTC>0.13925</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0132</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13806</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0124</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13698</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58161</MJD>
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<dataEOP><pole type="prediction"><X>0.0117</X>
<Y>0.3287</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13596</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58162</MJD>
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<dataEOP><pole type="prediction"><X>0.0110</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13496</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58163</MJD>
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<dataEOP><pole type="prediction"><X>0.0103</X>
<Y>0.3316</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13393</UT1-UTC>
</UT>
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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>0.0097</X>
<Y>0.3330</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13278</UT1-UTC>
</UT>
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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>0.0090</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13149</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>0.0084</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13005</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58167</MJD>
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<dataEOP><pole type="prediction"><X>0.0079</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12850</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58168</MJD>
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<dataEOP><pole type="prediction"><X>0.0073</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12682</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58169</MJD>
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<dataEOP><pole type="prediction"><X>0.0068</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12507</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58170</MJD>
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<dataEOP><pole type="prediction"><X>0.0063</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12333</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58171</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0059</X>
<Y>0.3435</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12159</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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</time>
<dataEOP><pole type="prediction"><X>0.0055</X>
<Y>0.3450</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11986</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58173</MJD>
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<dataEOP><pole type="prediction"><X>0.0051</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.11814</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58174</MJD>
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<dataEOP><pole type="prediction"><X>0.0047</X>
<Y>0.3481</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11647</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58175</MJD>
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<dataEOP><pole type="prediction"><X>0.0044</X>
<Y>0.3497</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11480</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58176</MJD>
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<dataEOP><pole type="prediction"><X>0.0041</X>
<Y>0.3512</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11313</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58177</MJD>
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<dataEOP><pole type="prediction"><X>0.0038</X>
<Y>0.3528</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11138</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>0.0035</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.10949</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>0.0033</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.10747</UT1-UTC>
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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>0.0031</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.10535</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58181</MJD>
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<dataEOP><pole type="prediction"><X>0.0030</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.10320</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58182</MJD>
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<dataEOP><pole type="prediction"><X>0.0028</X>
<Y>0.3607</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10110</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58183</MJD>
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<dataEOP><pole type="prediction"><X>0.0027</X>
<Y>0.3623</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09916</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58184</MJD>
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<dataEOP><pole type="prediction"><X>0.0026</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09737</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58185</MJD>
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<dataEOP><pole type="prediction"><X>0.0026</X>
<Y>0.3654</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09572</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58186</MJD>
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<dataEOP><pole type="prediction"><X>0.0026</X>
<Y>0.3670</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09423</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58187</MJD>
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<dataEOP><pole type="prediction"><X>0.0026</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09290</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58188</MJD>
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<dataEOP><pole type="prediction"><X>0.0027</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09169</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58189</MJD>
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<dataEOP><pole type="prediction"><X>0.0027</X>
<Y>0.3718</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09056</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>0.0028</X>
<Y>0.3734</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08944</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58191</MJD>
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<dataEOP><pole type="prediction"><X>0.0030</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08829</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58192</MJD>
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<dataEOP><pole type="prediction"><X>0.0031</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08700</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58193</MJD>
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<dataEOP><pole type="prediction"><X>0.0033</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08551</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58194</MJD>
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<dataEOP><pole type="prediction"><X>0.0036</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08383</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58195</MJD>
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<dataEOP><pole type="prediction"><X>0.0038</X>
<Y>0.3813</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08200</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58196</MJD>
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<dataEOP><pole type="prediction"><X>0.0041</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08007</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58197</MJD>
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<dataEOP><pole type="prediction"><X>0.0044</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07814</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58198</MJD>
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<dataEOP><pole type="prediction"><X>0.0047</X>
<Y>0.3860</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07625</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58199</MJD>
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<dataEOP><pole type="prediction"><X>0.0051</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07447</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58200</MJD>
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<dataEOP><pole type="prediction"><X>0.0055</X>
<Y>0.3891</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07279</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58201</MJD>
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<dataEOP><pole type="prediction"><X>0.0059</X>
<Y>0.3907</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07117</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58202</MJD>
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<dataEOP><pole type="prediction"><X>0.0064</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.06955</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58203</MJD>
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<dataEOP><pole type="prediction"><X>0.0069</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.06791</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58204</MJD>
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<dataEOP><pole type="prediction"><X>0.0074</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.06621</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58205</MJD>
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<dataEOP><pole type="prediction"><X>0.0079</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.06433</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58206</MJD>
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<dataEOP><pole type="prediction"><X>0.0085</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.06223</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58207</MJD>
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<dataEOP><pole type="prediction"><X>0.0091</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.06002</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58208</MJD>
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<dataEOP><pole type="prediction"><X>0.0097</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05777</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58209</MJD>
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</pole>
<UT type="prediction"><UT1-UTC>0.05553</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58210</MJD>
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<dataEOP><pole type="prediction"><X>0.0111</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05331</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58211</MJD>
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<UT type="prediction"><UT1-UTC>0.05117</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0125</X>
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<UT type="prediction"><UT1-UTC>0.04914</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58213</MJD>
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<dataEOP><pole type="prediction"><X>0.0133</X>
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<UT type="prediction"><UT1-UTC>0.04720</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58214</MJD>
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<dataEOP><pole type="prediction"><X>0.0141</X>
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<UT type="prediction"><UT1-UTC>0.04544</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58215</MJD>
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<dataEOP><pole type="prediction"><X>0.0149</X>
<Y>0.4115</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04383</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58216</MJD>
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<dataEOP><pole type="prediction"><X>0.0157</X>
<Y>0.4129</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04227</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58217</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0166</X>
<Y>0.4143</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04074</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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