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<UT type="prediction"><UT1-UTC>0.34781</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34760</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34728</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34683</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34624</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34551</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34468</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34380</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34292</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34210</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34136</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34071</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34013</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33955</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33893</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33823</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33741</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33650</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33555</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33462</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33374</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33296</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33229</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33173</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33126</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33085</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33048</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33010</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32966</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32910</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32841</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32756</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32654</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32540</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32420</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32300</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32188</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.32085</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.31993</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.31909</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31828</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31743</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31648</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31540</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31421</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31292</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31160</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31031</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30909</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30797</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30696</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30605</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30523</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30444</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30366</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30283</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30191</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30085</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1938</X>
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<UT type="prediction"><UT1-UTC>0.29963</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>04</dateDay>
<MJD>58030</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1929</X>
<Y>0.3270</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29823</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58031</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1920</X>
<Y>0.3257</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29668</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>06</dateDay>
<MJD>58032</MJD>
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<dataEOP><pole type="prediction"><X>0.1910</X>
<Y>0.3243</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29501</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>0.1900</X>
<Y>0.3230</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29331</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>0.1890</X>
<Y>0.3217</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>09</dateDay>
<MJD>58035</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1879</X>
<Y>0.3204</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29010</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>0.1869</X>
<Y>0.3191</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28868</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>11</dateDay>
<MJD>58037</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1858</X>
<Y>0.3179</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28737</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>12</dateDay>
<MJD>58038</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1847</X>
<Y>0.3166</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28613</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>13</dateDay>
<MJD>58039</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1835</X>
<Y>0.3154</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28489</UT1-UTC>
</UT>
</dataEOP>
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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>0.1823</X>
<Y>0.3142</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28359</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>0.1812</X>
<Y>0.3130</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28220</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>0.1799</X>
<Y>0.3118</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28066</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>0.1787</X>
<Y>0.3107</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27904</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>0.1775</X>
<Y>0.3095</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27738</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>58045</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1762</X>
<Y>0.3084</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27572</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>0.1749</X>
<Y>0.3073</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27412</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>0.1736</X>
<Y>0.3062</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27261</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>22</dateDay>
<MJD>58048</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1722</X>
<Y>0.3052</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27122</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>0.1709</X>
<Y>0.3041</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26994</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>0.1695</X>
<Y>0.3031</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26877</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>0.1681</X>
<Y>0.3021</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26767</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>0.1667</X>
<Y>0.3011</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26660</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>0.1652</X>
<Y>0.3001</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26552</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>0.1638</X>
<Y>0.2992</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26438</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>0.1623</X>
<Y>0.2983</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26313</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>0.1608</X>
<Y>0.2974</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26175</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>0.1593</X>
<Y>0.2965</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26021</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>0.1578</X>
<Y>0.2956</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25850</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>0.1563</X>
<Y>0.2948</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25666</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>0.1547</X>
<Y>0.2940</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25475</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>0.1531</X>
<Y>0.2932</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25284</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>0.1516</X>
<Y>0.2924</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25102</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58063</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1500</X>
<Y>0.2917</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24934</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>0.1484</X>
<Y>0.2910</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24781</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>0.1467</X>
<Y>0.2903</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24638</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>0.1451</X>
<Y>0.2896</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24499</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>0.1435</X>
<Y>0.2890</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24358</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>0.1418</X>
<Y>0.2883</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24210</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>0.1401</X>
<Y>0.2878</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24055</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>0.1385</X>
<Y>0.2872</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23892</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>0.1368</X>
<Y>0.2866</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23726</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>0.1351</X>
<Y>0.2861</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23561</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>16</dateDay>
<MJD>58073</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1334</X>
<Y>0.2856</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23402</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>0.1316</X>
<Y>0.2852</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23252</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>0.1299</X>
<Y>0.2847</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23114</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>0.1282</X>
<Y>0.2843</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22988</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>0.1265</X>
<Y>0.2839</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22874</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>0.1247</X>
<Y>0.2836</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22770</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>0.1230</X>
<Y>0.2832</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22672</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>0.1212</X>
<Y>0.2829</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22576</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58081</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1194</X>
<Y>0.2827</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22477</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58082</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1177</X>
<Y>0.2824</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22370</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>26</dateDay>
<MJD>58083</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1159</X>
<Y>0.2822</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22253</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58084</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1141</X>
<Y>0.2820</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22122</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>0.1123</X>
<Y>0.2818</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21976</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58086</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1106</X>
<Y>0.2817</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21817</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>0.1088</X>
<Y>0.2815</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21648</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>01</dateDay>
<MJD>58088</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1070</X>
<Y>0.2815</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21476</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>02</dateDay>
<MJD>58089</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1052</X>
<Y>0.2814</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21307</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>03</dateDay>
<MJD>58090</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1034</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21149</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>04</dateDay>
<MJD>58091</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1016</X>
<Y>0.2814</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21005</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>05</dateDay>
<MJD>58092</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0999</X>
<Y>0.2814</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20873</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>06</dateDay>
<MJD>58093</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0981</X>
<Y>0.2814</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20749</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>07</dateDay>
<MJD>58094</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0963</X>
<Y>0.2815</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20626</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>08</dateDay>
<MJD>58095</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0945</X>
<Y>0.2816</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20496</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>09</dateDay>
<MJD>58096</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0927</X>
<Y>0.2817</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20360</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>10</dateDay>
<MJD>58097</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0910</X>
<Y>0.2819</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20217</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>11</dateDay>
<MJD>58098</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0892</X>
<Y>0.2821</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20071</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>12</dateDay>
<MJD>58099</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0874</X>
<Y>0.2823</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19927</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>0.0857</X>
<Y>0.2825</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19788</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>0.0839</X>
<Y>0.2828</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19659</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>0.0822</X>
<Y>0.2831</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19541</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>0.0804</X>
<Y>0.2834</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19436</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>0.0787</X>
<Y>0.2838</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19343</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>0.0770</X>
<Y>0.2842</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19260</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>0.0752</X>
<Y>0.2846</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19185</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>0.0735</X>
<Y>0.2850</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19113</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>0.0718</X>
<Y>0.2855</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19040</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>0.0701</X>
<Y>0.2859</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18963</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>0.0684</X>
<Y>0.2865</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18876</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>0.0668</X>
<Y>0.2870</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18778</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>25</dateDay>
<MJD>58112</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0651</X>
<Y>0.2876</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18668</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>0.0635</X>
<Y>0.2882</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18546</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>27</dateDay>
<MJD>58114</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0618</X>
<Y>0.2888</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18415</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>28</dateDay>
<MJD>58115</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0602</X>
<Y>0.2894</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18279</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>29</dateDay>
<MJD>58116</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0586</X>
<Y>0.2901</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18145</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>30</dateDay>
<MJD>58117</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0570</X>
<Y>0.2908</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18018</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>31</dateDay>
<MJD>58118</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0554</X>
<Y>0.2915</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17904</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>01</dateDay>
<MJD>58119</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0538</X>
<Y>0.2922</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17804</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>02</dateDay>
<MJD>58120</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0523</X>
<Y>0.2930</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17714</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>03</dateDay>
<MJD>58121</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0507</X>
<Y>0.2938</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17626</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>04</dateDay>
<MJD>58122</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0492</X>
<Y>0.2946</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17534</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>05</dateDay>
<MJD>58123</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0477</X>
<Y>0.2955</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17432</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>06</dateDay>
<MJD>58124</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0462</X>
<Y>0.2964</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17319</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>07</dateDay>
<MJD>58125</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0447</X>
<Y>0.2972</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17197</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>08</dateDay>
<MJD>58126</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0433</X>
<Y>0.2982</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17072</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>09</dateDay>
<MJD>58127</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0418</X>
<Y>0.2991</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16949</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>10</dateDay>
<MJD>58128</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0404</X>
<Y>0.3001</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16831</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>11</dateDay>
<MJD>58129</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0390</X>
<Y>0.3010</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16722</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>0.0376</X>
<Y>0.3021</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16624</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>0.0363</X>
<Y>0.3031</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16534</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>14</dateDay>
<MJD>58132</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0349</X>
<Y>0.3041</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16453</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>0.0336</X>
<Y>0.3052</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16378</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>16</dateDay>
<MJD>58134</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0323</X>
<Y>0.3063</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16305</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>17</dateDay>
<MJD>58135</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0310</X>
<Y>0.3074</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16231</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>18</dateDay>
<MJD>58136</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0298</X>
<Y>0.3086</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16152</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>19</dateDay>
<MJD>58137</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0286</X>
<Y>0.3097</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16064</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>20</dateDay>
<MJD>58138</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0273</X>
<Y>0.3109</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15965</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>21</dateDay>
<MJD>58139</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0262</X>
<Y>0.3121</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15853</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>22</dateDay>
<MJD>58140</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0250</X>
<Y>0.3133</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15729</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>23</dateDay>
<MJD>58141</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0238</X>
<Y>0.3146</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15595</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>24</dateDay>
<MJD>58142</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0227</X>
<Y>0.3158</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15453</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>25</dateDay>
<MJD>58143</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0216</X>
<Y>0.3171</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15309</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>26</dateDay>
<MJD>58144</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0206</X>
<Y>0.3184</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15168</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>27</dateDay>
<MJD>58145</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0195</X>
<Y>0.3197</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15033</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>28</dateDay>
<MJD>58146</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0185</X>
<Y>0.3210</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14906</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>0.0175</X>
<Y>0.3224</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14787</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>0.0165</X>
<Y>0.3237</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14668</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>0.0156</X>
<Y>0.3251</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14542</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
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<MJD>58150</MJD>
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<dataEOP><pole type="prediction"><X>0.0147</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14403</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58151</MJD>
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<dataEOP><pole type="prediction"><X>0.0138</X>
<Y>0.3279</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14250</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>0.0129</X>
<Y>0.3293</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14085</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>04</dateDay>
<MJD>58153</MJD>
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<dataEOP><pole type="prediction"><X>0.0121</X>
<Y>0.3308</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13916</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>0.0113</X>
<Y>0.3322</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13747</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>06</dateDay>
<MJD>58155</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0105</X>
<Y>0.3337</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13581</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>07</dateDay>
<MJD>58156</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0098</X>
<Y>0.3352</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13424</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>08</dateDay>
<MJD>58157</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0090</X>
<Y>0.3367</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13278</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>09</dateDay>
<MJD>58158</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0083</X>
<Y>0.3382</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13141</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58159</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0077</X>
<Y>0.3397</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13013</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58160</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0070</X>
<Y>0.3412</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12894</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>12</dateDay>
<MJD>58161</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0064</X>
<Y>0.3428</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12783</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58162</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0059</X>
<Y>0.3443</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12675</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>14</dateDay>
<MJD>58163</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0053</X>
<Y>0.3459</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12563</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58164</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0048</X>
<Y>0.3474</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12442</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58165</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0043</X>
<Y>0.3490</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12309</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>17</dateDay>
<MJD>58166</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0039</X>
<Y>0.3506</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12163</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>18</dateDay>
<MJD>58167</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0034</X>
<Y>0.3522</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12008</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58168</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0030</X>
<Y>0.3538</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11846</UT1-UTC>
</UT>
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</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58169</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0027</X>
<Y>0.3554</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11678</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>21</dateDay>
<MJD>58170</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0023</X>
<Y>0.3571</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11515</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>0.0020</X>
<Y>0.3587</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11358</UT1-UTC>
</UT>
</dataEOP>
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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>0.0017</X>
<Y>0.3603</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11212</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>24</dateDay>
<MJD>58173</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0015</X>
<Y>0.3620</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11076</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>25</dateDay>
<MJD>58174</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0013</X>
<Y>0.3636</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10948</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>26</dateDay>
<MJD>58175</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0011</X>
<Y>0.3652</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10815</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>27</dateDay>
<MJD>58176</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0010</X>
<Y>0.3669</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10671</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>28</dateDay>
<MJD>58177</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0008</X>
<Y>0.3686</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10512</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>01</dateDay>
<MJD>58178</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0008</X>
<Y>0.3702</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10334</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>02</dateDay>
<MJD>58179</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0007</X>
<Y>0.3719</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10138</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>03</dateDay>
<MJD>58180</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0007</X>
<Y>0.3736</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09932</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58181</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0007</X>
<Y>0.3752</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09723</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>0.0007</X>
<Y>0.3769</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09516</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>0.0008</X>
<Y>0.3786</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09317</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>0.0009</X>
<Y>0.3802</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09131</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58185</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0010</X>
<Y>0.3819</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08966</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>0.0012</X>
<Y>0.3836</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08819</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58187</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0014</X>
<Y>0.3852</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08684</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>0.0016</X>
<Y>0.3869</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08557</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>0.0019</X>
<Y>0.3886</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08434</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>13</dateDay>
<MJD>58190</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0022</X>
<Y>0.3902</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08310</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>0.0025</X>
<Y>0.3919</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08178</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>15</dateDay>
<MJD>58192</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0028</X>
<Y>0.3936</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08038</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>16</dateDay>
<MJD>58193</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0032</X>
<Y>0.3952</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07888</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>17</dateDay>
<MJD>58194</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0036</X>
<Y>0.3969</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07728</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>18</dateDay>
<MJD>58195</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0041</X>
<Y>0.3985</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07554</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>0.0045</X>
<Y>0.4002</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07368</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>0.0050</X>
<Y>0.4018</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07179</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>0.0056</X>
<Y>0.4034</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06988</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>0.0061</X>
<Y>0.4050</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06802</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>0.0067</X>
<Y>0.4066</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06629</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>0.0074</X>
<Y>0.4082</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06468</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>0.0080</X>
<Y>0.4098</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06310</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>0.0087</X>
<Y>0.4114</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06151</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58204</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0094</X>
<Y>0.4130</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05986</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>0.0102</X>
<Y>0.4146</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05807</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58206</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0109</X>
<Y>0.4161</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05614</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>30</dateDay>
<MJD>58207</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0117</X>
<Y>0.4177</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05411</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>31</dateDay>
<MJD>58208</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0126</X>
<Y>0.4192</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05204</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>01</dateDay>
<MJD>58209</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0134</X>
<Y>0.4208</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05001</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>58210</MJD>
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<UT type="prediction"><UT1-UTC>0.04807</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0152</X>
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<UT type="prediction"><UT1-UTC>0.04628</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0162</X>
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<UT type="prediction"><UT1-UTC>0.04469</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0171</X>
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<UT type="prediction"><UT1-UTC>0.04326</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0181</X>
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<UT type="prediction"><UT1-UTC>0.04194</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0191</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04071</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0202</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03951</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0213</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03831</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0224</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03709</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0235</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03573</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0246</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03421</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0258</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03252</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58222</MJD>
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<dataEOP><pole type="prediction"><X>0.0270</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03066</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0283</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02874</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0295</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02679</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0308</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02484</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58226</MJD>
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<dataEOP><pole type="prediction"><X>0.0321</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02297</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58227</MJD>
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<dataEOP><pole type="prediction"><X>0.0334</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02127</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0347</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01970</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0361</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01826</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0375</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01688</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0389</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01549</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0403</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01406</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58233</MJD>
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<dataEOP><pole type="prediction"><X>0.0418</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01256</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58234</MJD>
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<dataEOP><pole type="prediction"><X>0.0432</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01098</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58235</MJD>
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<dataEOP><pole type="prediction"><X>0.0447</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00931</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58236</MJD>
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<dataEOP><pole type="prediction"><X>0.0462</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00760</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58237</MJD>
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<dataEOP><pole type="prediction"><X>0.0478</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00595</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58238</MJD>
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<dataEOP><pole type="prediction"><X>0.0493</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00443</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58239</MJD>
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<dataEOP><pole type="prediction"><X>0.0509</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00298</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58240</MJD>
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<dataEOP><pole type="prediction"><X>0.0524</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00162</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58241</MJD>
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<dataEOP><pole type="prediction"><X>0.0540</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00040</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58242</MJD>
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<dataEOP><pole type="prediction"><X>0.0557</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00070</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0573</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00176</UT1-UTC>
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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>-0.00281</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58245</MJD>
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<dataEOP><pole type="prediction"><X>0.0606</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00388</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58246</MJD>
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<dataEOP><pole type="prediction"><X>0.0623</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00500</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58247</MJD>
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<dataEOP><pole type="prediction"><X>0.0640</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00620</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58248</MJD>
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<dataEOP><pole type="prediction"><X>0.0657</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00747</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58249</MJD>
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<dataEOP><pole type="prediction"><X>0.0674</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00882</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58250</MJD>
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<dataEOP><pole type="prediction"><X>0.0691</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01027</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58251</MJD>
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<dataEOP><pole type="prediction"><X>0.0708</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01180</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58252</MJD>
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<dataEOP><pole type="prediction"><X>0.0726</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01337</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58253</MJD>
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<dataEOP><pole type="prediction"><X>0.0744</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01487</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58254</MJD>
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<dataEOP><pole type="prediction"><X>0.0761</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01627</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58255</MJD>
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<dataEOP><pole type="prediction"><X>0.0779</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01760</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58256</MJD>
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<dataEOP><pole type="prediction"><X>0.0797</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01882</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58257</MJD>
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<dataEOP><pole type="prediction"><X>0.0815</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.01996</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58258</MJD>
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<dataEOP><pole type="prediction"><X>0.0833</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02107</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58259</MJD>
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<dataEOP><pole type="prediction"><X>0.0851</X>
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<UT type="prediction"><UT1-UTC>-0.02222</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58260</MJD>
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<dataEOP><pole type="prediction"><X>0.0870</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02343</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58261</MJD>
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<dataEOP><pole type="prediction"><X>0.0888</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02472</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58262</MJD>
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<dataEOP><pole type="prediction"><X>0.0906</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02608</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58263</MJD>
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<dataEOP><pole type="prediction"><X>0.0925</X>
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<UT type="prediction"><UT1-UTC>-0.02748</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58264</MJD>
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<dataEOP><pole type="prediction"><X>0.0943</X>
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<UT type="prediction"><UT1-UTC>-0.02882</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58265</MJD>
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<dataEOP><pole type="prediction"><X>0.0962</X>
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<UT type="prediction"><UT1-UTC>-0.03004</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58266</MJD>
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<dataEOP><pole type="prediction"><X>0.0981</X>
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<UT type="prediction"><UT1-UTC>-0.03113</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58267</MJD>
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<dataEOP><pole type="prediction"><X>0.0999</X>
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<UT type="prediction"><UT1-UTC>-0.03205</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58268</MJD>
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<dataEOP><pole type="prediction"><X>0.1018</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03280</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58269</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1037</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03344</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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