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<UT type="prediction"><UT1-UTC>0.37095</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37014</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36923</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36826</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36729</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36638</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36561</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36499</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36450</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36410</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36372</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36329</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36281</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36230</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36177</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36129</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36087</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36054</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36033</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36023</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36025</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36037</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36056</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36079</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36100</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36116</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36121</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36113</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36092</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36057</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36012</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35842</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35807</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35794</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35668</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35357</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35287</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>14</dateDay>
<MJD>57979</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1949</X>
<Y>0.4060</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35218</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>15</dateDay>
<MJD>57980</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1955</X>
<Y>0.4046</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35155</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>16</dateDay>
<MJD>57981</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1961</X>
<Y>0.4031</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35100</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>17</dateDay>
<MJD>57982</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1967</X>
<Y>0.4017</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35054</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>18</dateDay>
<MJD>57983</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1973</X>
<Y>0.4002</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.35014</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>19</dateDay>
<MJD>57984</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1978</X>
<Y>0.3988</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34974</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>20</dateDay>
<MJD>57985</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1983</X>
<Y>0.3973</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34929</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>21</dateDay>
<MJD>57986</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1988</X>
<Y>0.3958</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34873</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>22</dateDay>
<MJD>57987</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1993</X>
<Y>0.3943</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34804</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>23</dateDay>
<MJD>57988</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1997</X>
<Y>0.3928</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34724</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>24</dateDay>
<MJD>57989</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2001</X>
<Y>0.3913</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34639</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>25</dateDay>
<MJD>57990</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2004</X>
<Y>0.3898</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34553</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>26</dateDay>
<MJD>57991</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2008</X>
<Y>0.3883</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34472</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>27</dateDay>
<MJD>57992</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2011</X>
<Y>0.3867</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34400</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>28</dateDay>
<MJD>57993</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2014</X>
<Y>0.3852</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34337</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>29</dateDay>
<MJD>57994</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2016</X>
<Y>0.3837</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34285</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>30</dateDay>
<MJD>57995</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2018</X>
<Y>0.3821</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34242</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>08</dateMonth>
<dateDay>31</dateDay>
<MJD>57996</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2020</X>
<Y>0.3806</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34205</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>01</dateDay>
<MJD>57997</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2022</X>
<Y>0.3790</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34170</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>02</dateDay>
<MJD>57998</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2023</X>
<Y>0.3775</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34132</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>03</dateDay>
<MJD>57999</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2024</X>
<Y>0.3759</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34087</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>04</dateDay>
<MJD>58000</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2025</X>
<Y>0.3743</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.34032</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>05</dateDay>
<MJD>58001</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2025</X>
<Y>0.3728</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33962</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>06</dateDay>
<MJD>58002</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2026</X>
<Y>0.3712</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33876</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>07</dateDay>
<MJD>58003</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2025</X>
<Y>0.3696</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33772</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>08</dateDay>
<MJD>58004</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2025</X>
<Y>0.3681</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33656</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>09</dateDay>
<MJD>58005</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2024</X>
<Y>0.3665</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33533</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>10</dateDay>
<MJD>58006</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2023</X>
<Y>0.3649</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33409</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>11</dateDay>
<MJD>58007</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2022</X>
<Y>0.3634</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33291</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>12</dateDay>
<MJD>58008</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2020</X>
<Y>0.3618</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33183</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>58009</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2018</X>
<Y>0.3603</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33086</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>14</dateDay>
<MJD>58010</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2016</X>
<Y>0.3587</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32996</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>15</dateDay>
<MJD>58011</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2014</X>
<Y>0.3571</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32909</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>16</dateDay>
<MJD>58012</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2011</X>
<Y>0.3556</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32819</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>17</dateDay>
<MJD>58013</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2008</X>
<Y>0.3540</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32720</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>18</dateDay>
<MJD>58014</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2004</X>
<Y>0.3525</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32609</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>19</dateDay>
<MJD>58015</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2001</X>
<Y>0.3509</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32486</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>20</dateDay>
<MJD>58016</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1997</X>
<Y>0.3494</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32354</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>21</dateDay>
<MJD>58017</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1993</X>
<Y>0.3479</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32219</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>22</dateDay>
<MJD>58018</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1988</X>
<Y>0.3463</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32086</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>23</dateDay>
<MJD>58019</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1983</X>
<Y>0.3448</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31961</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>24</dateDay>
<MJD>58020</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1978</X>
<Y>0.3433</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31845</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>25</dateDay>
<MJD>58021</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1973</X>
<Y>0.3418</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31740</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>26</dateDay>
<MJD>58022</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1967</X>
<Y>0.3403</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31645</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>27</dateDay>
<MJD>58023</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1961</X>
<Y>0.3388</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31558</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>28</dateDay>
<MJD>58024</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1955</X>
<Y>0.3373</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31475</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>29</dateDay>
<MJD>58025</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1949</X>
<Y>0.3359</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31393</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>30</dateDay>
<MJD>58026</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1942</X>
<Y>0.3344</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31306</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>01</dateDay>
<MJD>58027</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1935</X>
<Y>0.3329</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31210</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>02</dateDay>
<MJD>58028</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1928</X>
<Y>0.3315</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31100</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>03</dateDay>
<MJD>58029</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1920</X>
<Y>0.3301</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30975</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>04</dateDay>
<MJD>58030</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1912</X>
<Y>0.3286</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30832</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>05</dateDay>
<MJD>58031</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1904</X>
<Y>0.3272</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30673</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>06</dateDay>
<MJD>58032</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1896</X>
<Y>0.3258</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30504</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>07</dateDay>
<MJD>58033</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1887</X>
<Y>0.3244</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30332</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>08</dateDay>
<MJD>58034</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1878</X>
<Y>0.3231</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30165</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>09</dateDay>
<MJD>58035</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1869</X>
<Y>0.3217</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30009</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>10</dateDay>
<MJD>58036</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1860</X>
<Y>0.3204</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29866</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>11</dateDay>
<MJD>58037</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1850</X>
<Y>0.3190</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29734</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>12</dateDay>
<MJD>58038</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1840</X>
<Y>0.3177</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29609</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1830</X>
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<UT type="prediction"><UT1-UTC>0.29484</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1820</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.29354</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58041</MJD>
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<dataEOP><pole type="prediction"><X>0.1809</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.29214</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58042</MJD>
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<dataEOP><pole type="prediction"><X>0.1799</X>
<Y>0.3126</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29063</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58043</MJD>
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<dataEOP><pole type="prediction"><X>0.1788</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28904</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58044</MJD>
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<dataEOP><pole type="prediction"><X>0.1776</X>
<Y>0.3101</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28740</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58045</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1765</X>
<Y>0.3089</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28577</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58046</MJD>
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<dataEOP><pole type="prediction"><X>0.1753</X>
<Y>0.3077</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28420</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58047</MJD>
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<dataEOP><pole type="prediction"><X>0.1741</X>
<Y>0.3066</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28272</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>0.1729</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28135</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58049</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1717</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28010</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58050</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1704</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27895</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58051</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1691</X>
<Y>0.3021</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27788</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58052</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1678</X>
<Y>0.3010</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27684</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58053</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1665</X>
<Y>0.2999</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27578</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58054</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1652</X>
<Y>0.2989</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27467</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58055</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1638</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27345</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58056</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1625</X>
<Y>0.2969</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27209</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58057</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1611</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.27058</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58058</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1597</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.26890</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58059</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1583</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.26709</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58060</MJD>
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<dataEOP><pole type="prediction"><X>0.1568</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.26520</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58061</MJD>
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<dataEOP><pole type="prediction"><X>0.1554</X>
<Y>0.2923</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26333</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58062</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1539</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.26154</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>0.1524</X>
<Y>0.2906</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25988</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58064</MJD>
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<dataEOP><pole type="prediction"><X>0.1509</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25838</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58065</MJD>
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<dataEOP><pole type="prediction"><X>0.1494</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25698</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58066</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1478</X>
<Y>0.2882</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25562</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58067</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1463</X>
<Y>0.2874</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25424</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58068</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1447</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.25279</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58069</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1432</X>
<Y>0.2860</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25127</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58070</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1416</X>
<Y>0.2853</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24967</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58071</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1400</X>
<Y>0.2847</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24804</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58072</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1384</X>
<Y>0.2841</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24642</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58073</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1368</X>
<Y>0.2835</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24485</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58074</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1351</X>
<Y>0.2829</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24337</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58075</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1335</X>
<Y>0.2823</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24201</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58076</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1318</X>
<Y>0.2818</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24077</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58077</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1302</X>
<Y>0.2813</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23965</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58078</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1285</X>
<Y>0.2809</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23861</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58079</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1269</X>
<Y>0.2804</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23763</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58080</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1252</X>
<Y>0.2800</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23666</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>0.1235</X>
<Y>0.2796</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23564</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>0.1218</X>
<Y>0.2792</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23454</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>0.1201</X>
<Y>0.2789</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23331</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58084</MJD>
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<dataEOP><pole type="prediction"><X>0.1184</X>
<Y>0.2786</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23194</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58085</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1167</X>
<Y>0.2783</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23040</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58086</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1150</X>
<Y>0.2781</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22872</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58087</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1132</X>
<Y>0.2778</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22693</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58088</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1115</X>
<Y>0.2776</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22510</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58089</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1098</X>
<Y>0.2774</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22330</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58090</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1081</X>
<Y>0.2773</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22160</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58091</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1063</X>
<Y>0.2772</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22005</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58092</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1046</X>
<Y>0.2771</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21864</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58093</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1029</X>
<Y>0.2770</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21730</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58094</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1011</X>
<Y>0.2770</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21599</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58095</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0994</X>
<Y>0.2770</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21462</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>0.0977</X>
<Y>0.2770</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21317</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58097</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0960</X>
<Y>0.2770</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21164</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>0.0942</X>
<Y>0.2771</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21006</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>12</dateDay>
<MJD>58099</MJD>
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<dataEOP><pole type="prediction"><X>0.0925</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20846</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58100</MJD>
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<dataEOP><pole type="prediction"><X>0.0908</X>
<Y>0.2773</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20689</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>14</dateDay>
<MJD>58101</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0890</X>
<Y>0.2775</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20542</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>15</dateDay>
<MJD>58102</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0873</X>
<Y>0.2776</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20407</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>16</dateDay>
<MJD>58103</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0856</X>
<Y>0.2778</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20286</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>17</dateDay>
<MJD>58104</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0839</X>
<Y>0.2781</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20181</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>18</dateDay>
<MJD>58105</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0822</X>
<Y>0.2783</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20088</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>19</dateDay>
<MJD>58106</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0805</X>
<Y>0.2786</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20005</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>20</dateDay>
<MJD>58107</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0788</X>
<Y>0.2789</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19927</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>21</dateDay>
<MJD>58108</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0771</X>
<Y>0.2793</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19851</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>22</dateDay>
<MJD>58109</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0755</X>
<Y>0.2797</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19772</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>23</dateDay>
<MJD>58110</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0738</X>
<Y>0.2800</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19687</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>0.0721</X>
<Y>0.2805</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19590</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>0.0705</X>
<Y>0.2809</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19478</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>26</dateDay>
<MJD>58113</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0688</X>
<Y>0.2814</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19351</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>0.0672</X>
<Y>0.2819</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19209</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>0.0656</X>
<Y>0.2824</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19056</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>0.0640</X>
<Y>0.2830</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18904</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>0.0624</X>
<Y>0.2836</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18760</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>0.0608</X>
<Y>0.2842</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18622</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>0.0592</X>
<Y>0.2848</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18495</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>0.0576</X>
<Y>0.2854</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18376</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>0.0561</X>
<Y>0.2861</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18256</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>0.0545</X>
<Y>0.2868</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18131</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>0.0530</X>
<Y>0.2876</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17997</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>0.0515</X>
<Y>0.2883</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17858</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>0.0500</X>
<Y>0.2891</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17715</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>0.0485</X>
<Y>0.2899</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17573</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>0.0470</X>
<Y>0.2907</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17439</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>0.0456</X>
<Y>0.2916</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17318</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>11</dateDay>
<MJD>58129</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0442</X>
<Y>0.2924</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17210</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>12</dateDay>
<MJD>58130</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0428</X>
<Y>0.2933</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17112</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>13</dateDay>
<MJD>58131</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0414</X>
<Y>0.2943</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17026</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>14</dateDay>
<MJD>58132</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0400</X>
<Y>0.2952</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16948</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>15</dateDay>
<MJD>58133</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0386</X>
<Y>0.2962</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16878</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>16</dateDay>
<MJD>58134</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0373</X>
<Y>0.2972</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16814</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>0.0359</X>
<Y>0.2982</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16744</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>0.0346</X>
<Y>0.2992</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16665</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>0.0334</X>
<Y>0.3002</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16573</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>20</dateDay>
<MJD>58138</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0321</X>
<Y>0.3013</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16466</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>21</dateDay>
<MJD>58139</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0308</X>
<Y>0.3024</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16349</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>22</dateDay>
<MJD>58140</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0296</X>
<Y>0.3035</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16223</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>0.0284</X>
<Y>0.3046</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16082</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>24</dateDay>
<MJD>58142</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0272</X>
<Y>0.3058</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15935</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>0.0261</X>
<Y>0.3070</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15788</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>26</dateDay>
<MJD>58144</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0249</X>
<Y>0.3082</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15644</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>0.0238</X>
<Y>0.3094</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15509</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>28</dateDay>
<MJD>58146</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0227</X>
<Y>0.3106</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15386</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>29</dateDay>
<MJD>58147</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0217</X>
<Y>0.3118</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15270</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>30</dateDay>
<MJD>58148</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0206</X>
<Y>0.3131</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15161</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>31</dateDay>
<MJD>58149</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0196</X>
<Y>0.3144</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15051</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>01</dateDay>
<MJD>58150</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0186</X>
<Y>0.3157</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14932</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>02</dateDay>
<MJD>58151</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0176</X>
<Y>0.3170</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14797</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>03</dateDay>
<MJD>58152</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0167</X>
<Y>0.3183</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14649</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>04</dateDay>
<MJD>58153</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0158</X>
<Y>0.3196</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14495</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>05</dateDay>
<MJD>58154</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0149</X>
<Y>0.3210</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14346</UT1-UTC>
</UT>
</dataEOP>
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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>0.0140</X>
<Y>0.3224</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14196</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>58156</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0132</X>
<Y>0.3238</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14051</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>08</dateDay>
<MJD>58157</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0124</X>
<Y>0.3252</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13917</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>09</dateDay>
<MJD>58158</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0116</X>
<Y>0.3266</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13797</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0108</X>
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<UT type="prediction"><UT1-UTC>0.13682</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0101</X>
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<UT type="prediction"><UT1-UTC>0.13575</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0094</X>
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<UT type="prediction"><UT1-UTC>0.13471</UT1-UTC>
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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>0.0087</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13367</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0080</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13261</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0074</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13150</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0068</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13031</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0062</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12900</UT1-UTC>
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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>0.0057</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12754</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0052</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12594</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0047</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12427</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0042</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12256</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0038</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12080</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0034</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.11909</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0030</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.11746</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0027</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.11595</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0024</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.11448</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0021</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.11300</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0019</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.11144</UT1-UTC>
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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>0.0016</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.10971</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0014</X>
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<UT type="prediction"><UT1-UTC>0.10781</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>0.0013</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.10581</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0012</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.10381</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0011</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.10183</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0010</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09997</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0009</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09827</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0009</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09667</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0009</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09514</UT1-UTC>
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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>0.0010</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09363</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>0.0011</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09216</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>0.0012</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09067</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>0.0013</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08919</UT1-UTC>
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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>0.0015</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08764</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0017</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08600</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.08422</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0022</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08229</UT1-UTC>
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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>0.0025</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08023</UT1-UTC>
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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>0.0028</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07810</UT1-UTC>
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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>0.0031</X>
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<UT type="prediction"><UT1-UTC>0.07599</UT1-UTC>
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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>0.0035</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07395</UT1-UTC>
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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>0.0039</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07199</UT1-UTC>
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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>0.0043</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07017</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>0.0048</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.06851</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>0.0053</X>
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<UT type="prediction"><UT1-UTC>0.06698</UT1-UTC>
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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>0.0058</X>
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<UT type="prediction"><UT1-UTC>0.06551</UT1-UTC>
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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>0.0064</X>
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<UT type="prediction"><UT1-UTC>0.06401</UT1-UTC>
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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>0.0069</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.06244</UT1-UTC>
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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>0.0075</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.06072</UT1-UTC>
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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>0.0082</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05881</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58208</MJD>
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</pole>
<UT type="prediction"><UT1-UTC>0.05678</UT1-UTC>
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</pole>
<UT type="prediction"><UT1-UTC>0.05475</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58210</MJD>
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</pole>
<UT type="prediction"><UT1-UTC>0.05279</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.05098</UT1-UTC>
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<MJD>58212</MJD>
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<UT type="prediction"><UT1-UTC>0.04932</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>0.0126</X>
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<UT type="prediction"><UT1-UTC>0.04782</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.04645</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0142</X>
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<UT type="prediction"><UT1-UTC>0.04514</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>0.0151</X>
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<UT type="prediction"><UT1-UTC>0.04379</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58217</MJD>
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<dataEOP><pole type="prediction"><X>0.0160</X>
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<UT type="prediction"><UT1-UTC>0.04243</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58218</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0169</X>
<Y>0.4191</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04103</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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