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<dataEOP><pole type="prediction"><X>0.1970</X>
<Y>0.3082</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28639</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1958</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.28499</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58037</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1945</X>
<Y>0.3054</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28370</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>0.1932</X>
<Y>0.3041</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28247</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>0.1919</X>
<Y>0.3027</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28125</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>0.1905</X>
<Y>0.3014</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27996</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>0.1892</X>
<Y>0.3001</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27858</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58042</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1878</X>
<Y>0.2988</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27708</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58043</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1864</X>
<Y>0.2975</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27550</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58044</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1849</X>
<Y>0.2963</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27387</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58045</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1835</X>
<Y>0.2951</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27225</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>0.1820</X>
<Y>0.2938</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27068</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>0.1805</X>
<Y>0.2927</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26920</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>0.1789</X>
<Y>0.2915</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26784</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>0.1774</X>
<Y>0.2904</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26656</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>0.1758</X>
<Y>0.2892</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26538</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>0.1742</X>
<Y>0.2881</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26427</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>26</dateDay>
<MJD>58052</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1726</X>
<Y>0.2871</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26320</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>0.1710</X>
<Y>0.2860</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26212</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>0.1693</X>
<Y>0.2850</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26097</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>0.1676</X>
<Y>0.2840</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25973</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>0.1659</X>
<Y>0.2830</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25835</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>0.1642</X>
<Y>0.2821</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25681</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>0.1625</X>
<Y>0.2811</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25511</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>0.1607</X>
<Y>0.2802</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25328</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>0.1590</X>
<Y>0.2794</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25137</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>0.1572</X>
<Y>0.2785</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24947</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>0.1554</X>
<Y>0.2777</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24767</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>06</dateDay>
<MJD>58063</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1536</X>
<Y>0.2769</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24600</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>0.1518</X>
<Y>0.2761</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24447</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>0.1499</X>
<Y>0.2754</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24305</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>0.1481</X>
<Y>0.2747</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24168</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>0.1462</X>
<Y>0.2740</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24028</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58068</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1443</X>
<Y>0.2733</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23881</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58069</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1424</X>
<Y>0.2727</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23727</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>0.1405</X>
<Y>0.2721</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23565</UT1-UTC>
</UT>
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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>0.1386</X>
<Y>0.2715</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23400</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58072</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1367</X>
<Y>0.2710</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23235</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58073</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1348</X>
<Y>0.2704</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23075</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>0.1328</X>
<Y>0.2699</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22925</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>18</dateDay>
<MJD>58075</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1309</X>
<Y>0.2695</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22786</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>0.1289</X>
<Y>0.2691</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22659</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>0.1269</X>
<Y>0.2687</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22544</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>0.1250</X>
<Y>0.2683</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22438</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>0.2679</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22339</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>0.1210</X>
<Y>0.2676</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22241</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>0.1190</X>
<Y>0.2673</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22140</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>0.1170</X>
<Y>0.2671</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22031</UT1-UTC>
</UT>
</dataEOP>
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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>0.1150</X>
<Y>0.2669</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21912</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>27</dateDay>
<MJD>58084</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1130</X>
<Y>0.2667</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21780</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>0.1110</X>
<Y>0.2665</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21633</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>0.1090</X>
<Y>0.2664</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21473</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>0.1069</X>
<Y>0.2663</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21302</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>01</dateDay>
<MJD>58088</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1049</X>
<Y>0.2662</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21129</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58089</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1029</X>
<Y>0.2662</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20959</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58090</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1009</X>
<Y>0.2662</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20800</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>04</dateDay>
<MJD>58091</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0989</X>
<Y>0.2662</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20655</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
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<MJD>58092</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0968</X>
<Y>0.2662</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20523</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>0.0948</X>
<Y>0.2663</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20399</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>07</dateDay>
<MJD>58094</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0928</X>
<Y>0.2664</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.20274</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>0.0908</X>
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<UT type="prediction"><UT1-UTC>0.20144</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0888</X>
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<UT type="prediction"><UT1-UTC>0.20006</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0868</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19862</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0848</X>
<Y>0.2672</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19715</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58099</MJD>
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<dataEOP><pole type="prediction"><X>0.0828</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19569</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58100</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0808</X>
<Y>0.2678</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19429</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58101</MJD>
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<dataEOP><pole type="prediction"><X>0.0788</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19298</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58102</MJD>
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<dataEOP><pole type="prediction"><X>0.0768</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19178</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58103</MJD>
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<dataEOP><pole type="prediction"><X>0.0748</X>
<Y>0.2689</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19072</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58104</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0729</X>
<Y>0.2693</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18977</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58105</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0709</X>
<Y>0.2697</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18892</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>19</dateDay>
<MJD>58106</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0690</X>
<Y>0.2702</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18815</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>0.0670</X>
<Y>0.2707</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18741</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>21</dateDay>
<MJD>58108</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0651</X>
<Y>0.2713</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18666</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>0.0632</X>
<Y>0.2719</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18585</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>0.0613</X>
<Y>0.2725</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18495</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>12</dateMonth>
<dateDay>24</dateDay>
<MJD>58111</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0594</X>
<Y>0.2731</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18394</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>0.0575</X>
<Y>0.2738</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>26</dateDay>
<MJD>58113</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0556</X>
<Y>0.2744</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18152</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>0.0538</X>
<Y>0.2752</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18015</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>28</dateDay>
<MJD>58115</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0519</X>
<Y>0.2759</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17872</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>29</dateDay>
<MJD>58116</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0501</X>
<Y>0.2767</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17729</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>30</dateDay>
<MJD>58117</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0483</X>
<Y>0.2775</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17592</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>31</dateDay>
<MJD>58118</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0465</X>
<Y>0.2783</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17467</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>0.0447</X>
<Y>0.2792</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17354</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>0.0429</X>
<Y>0.2801</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17249</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>0.0412</X>
<Y>0.2810</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17147</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>0.0394</X>
<Y>0.2820</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17041</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>0.0377</X>
<Y>0.2829</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16928</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>06</dateDay>
<MJD>58124</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0360</X>
<Y>0.2839</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16807</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>0.0343</X>
<Y>0.2850</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16683</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>0.0327</X>
<Y>0.2860</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16561</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>09</dateDay>
<MJD>58127</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0310</X>
<Y>0.2871</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16448</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>10</dateDay>
<MJD>58128</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0294</X>
<Y>0.2882</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16346</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>0.0278</X>
<Y>0.2894</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16257</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>0.0263</X>
<Y>0.2905</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16181</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>0.0247</X>
<Y>0.2917</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16115</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>0.0232</X>
<Y>0.2929</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16058</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>0.0217</X>
<Y>0.2941</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16004</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>0.0202</X>
<Y>0.2954</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15949</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>0.0187</X>
<Y>0.2967</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15890</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>0.0173</X>
<Y>0.2980</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15822</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>0.0158</X>
<Y>0.2993</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15742</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>0.0145</X>
<Y>0.3007</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15648</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>0.0131</X>
<Y>0.3021</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15538</UT1-UTC>
</UT>
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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>0.0117</X>
<Y>0.3035</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15413</UT1-UTC>
</UT>
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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>0.0104</X>
<Y>0.3049</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15275</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>24</dateDay>
<MJD>58142</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0091</X>
<Y>0.3063</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15129</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>25</dateDay>
<MJD>58143</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0079</X>
<Y>0.3078</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14980</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>0.0066</X>
<Y>0.3093</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14834</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>27</dateDay>
<MJD>58145</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0054</X>
<Y>0.3108</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14696</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>0.0043</X>
<Y>0.3123</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14568</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>0.0031</X>
<Y>0.3138</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14448</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>0.0020</X>
<Y>0.3154</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14331</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>31</dateDay>
<MJD>58149</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0009</X>
<Y>0.3170</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14209</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>01</dateDay>
<MJD>58150</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0002</X>
<Y>0.3186</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14077</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>02</dateDay>
<MJD>58151</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0012</X>
<Y>0.3202</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13932</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>03</dateDay>
<MJD>58152</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0022</X>
<Y>0.3218</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13777</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>04</dateDay>
<MJD>58153</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0032</X>
<Y>0.3235</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13617</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>-0.0041</X>
<Y>0.3251</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13459</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>06</dateDay>
<MJD>58155</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0050</X>
<Y>0.3268</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13310</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>-0.0059</X>
<Y>0.3285</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13171</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>-0.0068</X>
<Y>0.3302</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13043</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>-0.0076</X>
<Y>0.3320</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12925</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>10</dateDay>
<MJD>58159</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0084</X>
<Y>0.3337</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12819</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>11</dateDay>
<MJD>58160</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0091</X>
<Y>0.3354</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12723</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>12</dateDay>
<MJD>58161</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0098</X>
<Y>0.3372</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12632</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>13</dateDay>
<MJD>58162</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0105</X>
<Y>0.3390</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12537</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>14</dateDay>
<MJD>58163</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0112</X>
<Y>0.3408</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12435</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>15</dateDay>
<MJD>58164</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0118</X>
<Y>0.3426</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12322</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>16</dateDay>
<MJD>58165</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0124</X>
<Y>0.3444</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12195</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>-0.0130</X>
<Y>0.3462</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12055</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>-0.0135</X>
<Y>0.3481</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11902</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>19</dateDay>
<MJD>58168</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0140</X>
<Y>0.3499</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11735</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>20</dateDay>
<MJD>58169</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0144</X>
<Y>0.3518</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11556</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>21</dateDay>
<MJD>58170</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0148</X>
<Y>0.3537</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11371</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>22</dateDay>
<MJD>58171</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0152</X>
<Y>0.3555</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11189</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>23</dateDay>
<MJD>58172</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0156</X>
<Y>0.3574</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11010</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>24</dateDay>
<MJD>58173</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0159</X>
<Y>0.3593</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10838</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>-0.0162</X>
<Y>0.3612</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10676</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>-0.0164</X>
<Y>0.3631</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10520</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>-0.0166</X>
<Y>0.3650</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10364</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>28</dateDay>
<MJD>58177</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0168</X>
<Y>0.3669</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10199</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>01</dateDay>
<MJD>58178</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0170</X>
<Y>0.3688</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10020</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>02</dateDay>
<MJD>58179</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0171</X>
<Y>0.3707</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09826</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>03</dateDay>
<MJD>58180</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0172</X>
<Y>0.3727</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09624</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>04</dateDay>
<MJD>58181</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0172</X>
<Y>0.3746</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09424</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>05</dateDay>
<MJD>58182</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0172</X>
<Y>0.3765</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09232</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>06</dateDay>
<MJD>58183</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0172</X>
<Y>0.3785</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09053</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>07</dateDay>
<MJD>58184</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0171</X>
<Y>0.3804</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08893</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>08</dateDay>
<MJD>58185</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0170</X>
<Y>0.3823</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08751</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>09</dateDay>
<MJD>58186</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0169</X>
<Y>0.3843</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08625</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>10</dateDay>
<MJD>58187</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0167</X>
<Y>0.3862</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08510</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>-0.0165</X>
<Y>0.3881</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08401</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>-0.0162</X>
<Y>0.3901</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08287</UT1-UTC>
</UT>
</dataEOP>
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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>-0.0160</X>
<Y>0.3920</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08161</UT1-UTC>
</UT>
</dataEOP>
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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>-0.0156</X>
<Y>0.3939</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08023</UT1-UTC>
</UT>
</dataEOP>
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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>-0.0153</X>
<Y>0.3958</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07869</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>-0.0149</X>
<Y>0.3978</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07698</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>-0.0145</X>
<Y>0.3997</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07511</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>-0.0141</X>
<Y>0.4016</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07311</UT1-UTC>
</UT>
</dataEOP>
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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>-0.0136</X>
<Y>0.4035</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07100</UT1-UTC>
</UT>
</dataEOP>
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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>-0.0130</X>
<Y>0.4054</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06885</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>21</dateDay>
<MJD>58198</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0125</X>
<Y>0.4073</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06674</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>22</dateDay>
<MJD>58199</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0119</X>
<Y>0.4092</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06478</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>23</dateDay>
<MJD>58200</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0113</X>
<Y>0.4111</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06297</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>24</dateDay>
<MJD>58201</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0106</X>
<Y>0.4129</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06130</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>25</dateDay>
<MJD>58202</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0099</X>
<Y>0.4148</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05970</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>26</dateDay>
<MJD>58203</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0092</X>
<Y>0.4167</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05813</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>27</dateDay>
<MJD>58204</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0084</X>
<Y>0.4185</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05652</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>28</dateDay>
<MJD>58205</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0077</X>
<Y>0.4203</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05479</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>29</dateDay>
<MJD>58206</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0068</X>
<Y>0.4222</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05294</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>-0.0060</X>
<Y>0.4240</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05102</UT1-UTC>
</UT>
</dataEOP>
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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>-0.0051</X>
<Y>0.4258</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04908</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>-0.0042</X>
<Y>0.4276</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04714</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58210</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0032</X>
<Y>0.4294</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04525</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>03</dateDay>
<MJD>58211</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0022</X>
<Y>0.4311</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04347</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>04</dateDay>
<MJD>58212</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0012</X>
<Y>0.4329</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04179</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>05</dateDay>
<MJD>58213</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0002</X>
<Y>0.4346</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.04022</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58214</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0009</X>
<Y>0.4363</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.03880</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>04</dateMonth>
<dateDay>07</dateDay>
<MJD>58215</MJD>
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<UT type="prediction"><UT1-UTC>0.03749</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.03619</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.03488</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.03353</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.03206</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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<UT type="prediction"><UT1-UTC>0.03048</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.02877</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.02696</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.02507</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.02314</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.02127</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>0.01952</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0176</X>
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<UT type="prediction"><UT1-UTC>0.01792</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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<UT type="prediction"><UT1-UTC>0.01645</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0206</X>
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<UT type="prediction"><UT1-UTC>0.01507</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0222</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01372</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0237</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01234</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0253</X>
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<UT type="prediction"><UT1-UTC>0.01091</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0269</X>
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<UT type="prediction"><UT1-UTC>0.00933</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0285</X>
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<UT type="prediction"><UT1-UTC>0.00759</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0302</X>
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<UT type="prediction"><UT1-UTC>0.00575</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.00388</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0336</X>
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<UT type="prediction"><UT1-UTC>0.00210</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0353</X>
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<UT type="prediction"><UT1-UTC>0.00046</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0370</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00106</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0388</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00242</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0406</X>
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<UT type="prediction"><UT1-UTC>-0.00360</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.00466</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.00563</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0460</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00654</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00746</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.00840</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00938</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.01047</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.01171</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.01308</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.01454</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.01597</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.01744</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>0.0654</X>
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<UT type="prediction"><UT1-UTC>-0.01885</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>0.0674</X>
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<UT type="prediction"><UT1-UTC>-0.02012</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>0.0694</X>
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<UT type="prediction"><UT1-UTC>-0.02124</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>0.0714</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02235</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>0.0735</X>
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<UT type="prediction"><UT1-UTC>-0.02346</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58259</MJD>
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<UT type="prediction"><UT1-UTC>-0.02462</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.02587</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>0.0797</X>
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<UT type="prediction"><UT1-UTC>-0.02719</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>0.0818</X>
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<UT type="prediction"><UT1-UTC>-0.02852</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>0.0839</X>
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<UT type="prediction"><UT1-UTC>-0.02980</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.03102</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58265</MJD>
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<UT type="prediction"><UT1-UTC>-0.03215</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>0.0902</X>
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<UT type="prediction"><UT1-UTC>-0.03316</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58267</MJD>
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<UT type="prediction"><UT1-UTC>-0.03400</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58268</MJD>
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<UT type="prediction"><UT1-UTC>-0.03473</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58269</MJD>
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<UT type="prediction"><UT1-UTC>-0.03539</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.03598</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58271</MJD>
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<UT type="prediction"><UT1-UTC>-0.03652</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58272</MJD>
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<UT type="prediction"><UT1-UTC>-0.03703</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58273</MJD>
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<dataEOP><pole type="prediction"><X>0.1052</X>
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<UT type="prediction"><UT1-UTC>-0.03756</UT1-UTC>
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<MJD>58274</MJD>
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<dataEOP><pole type="prediction"><X>0.1074</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03814</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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