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<dataEOP><pole type="prediction"><X>0.2211</X>
<Y>0.3280</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30946</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>23</dateDay>
<MJD>58019</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2203</X>
<Y>0.3264</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30812</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>24</dateDay>
<MJD>58020</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2194</X>
<Y>0.3249</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30686</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>0.2185</X>
<Y>0.3234</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30569</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>0.2176</X>
<Y>0.3219</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30461</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>0.2167</X>
<Y>0.3204</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30360</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>0.2157</X>
<Y>0.3189</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30263</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>0.2147</X>
<Y>0.3174</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30166</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>0.2137</X>
<Y>0.3160</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30063</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>0.2126</X>
<Y>0.3145</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29951</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>0.2115</X>
<Y>0.3131</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29826</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>0.2104</X>
<Y>0.3117</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29685</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>0.2092</X>
<Y>0.3102</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29525</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>0.2081</X>
<Y>0.3089</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29351</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>0.2069</X>
<Y>0.3075</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29165</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>0.2056</X>
<Y>0.3061</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28976</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>0.2044</X>
<Y>0.3048</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28792</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>0.2031</X>
<Y>0.3035</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28619</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>0.2018</X>
<Y>0.3022</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28459</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>0.2005</X>
<Y>0.3009</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28312</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>0.1991</X>
<Y>0.2996</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28171</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>13</dateDay>
<MJD>58039</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1977</X>
<Y>0.2983</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28031</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>14</dateDay>
<MJD>58040</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1963</X>
<Y>0.2971</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27885</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>15</dateDay>
<MJD>58041</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1949</X>
<Y>0.2959</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27729</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>16</dateDay>
<MJD>58042</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1935</X>
<Y>0.2947</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27563</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>17</dateDay>
<MJD>58043</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1920</X>
<Y>0.2935</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27388</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>18</dateDay>
<MJD>58044</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1905</X>
<Y>0.2924</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27208</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>19</dateDay>
<MJD>58045</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1890</X>
<Y>0.2912</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27029</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>20</dateDay>
<MJD>58046</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1874</X>
<Y>0.2901</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26855</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>21</dateDay>
<MJD>58047</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1859</X>
<Y>0.2890</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26691</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>22</dateDay>
<MJD>58048</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1843</X>
<Y>0.2879</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26540</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>23</dateDay>
<MJD>58049</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1827</X>
<Y>0.2869</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26401</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>24</dateDay>
<MJD>58050</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1811</X>
<Y>0.2859</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26273</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>25</dateDay>
<MJD>58051</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1794</X>
<Y>0.2849</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26153</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>26</dateDay>
<MJD>58052</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1777</X>
<Y>0.2839</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26038</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>27</dateDay>
<MJD>58053</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1761</X>
<Y>0.2829</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25922</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>28</dateDay>
<MJD>58054</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1744</X>
<Y>0.2820</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25800</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>29</dateDay>
<MJD>58055</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1726</X>
<Y>0.2811</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25669</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>30</dateDay>
<MJD>58056</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1709</X>
<Y>0.2802</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25525</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>31</dateDay>
<MJD>58057</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1692</X>
<Y>0.2793</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25366</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>01</dateDay>
<MJD>58058</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1674</X>
<Y>0.2785</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25191</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>02</dateDay>
<MJD>58059</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1656</X>
<Y>0.2777</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25004</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>03</dateDay>
<MJD>58060</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1638</X>
<Y>0.2769</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24809</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>04</dateDay>
<MJD>58061</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1620</X>
<Y>0.2761</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24617</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>05</dateDay>
<MJD>58062</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1601</X>
<Y>0.2754</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24433</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>58063</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1583</X>
<Y>0.2747</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24264</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>58064</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1564</X>
<Y>0.2740</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24110</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>08</dateDay>
<MJD>58065</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1546</X>
<Y>0.2733</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23966</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>09</dateDay>
<MJD>58066</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1527</X>
<Y>0.2727</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23828</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>10</dateDay>
<MJD>58067</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1508</X>
<Y>0.2721</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23688</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>11</dateDay>
<MJD>58068</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1489</X>
<Y>0.2715</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23543</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>12</dateDay>
<MJD>58069</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1469</X>
<Y>0.2710</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23390</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>13</dateDay>
<MJD>58070</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1450</X>
<Y>0.2705</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23230</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>14</dateDay>
<MJD>58071</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1431</X>
<Y>0.2700</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23068</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>15</dateDay>
<MJD>58072</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1411</X>
<Y>0.2695</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22907</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>16</dateDay>
<MJD>58073</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1392</X>
<Y>0.2691</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22751</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>17</dateDay>
<MJD>58074</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1372</X>
<Y>0.2687</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22605</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>18</dateDay>
<MJD>58075</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1352</X>
<Y>0.2683</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22470</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>19</dateDay>
<MJD>58076</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1332</X>
<Y>0.2679</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22346</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>20</dateDay>
<MJD>58077</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1312</X>
<Y>0.2676</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22235</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>21</dateDay>
<MJD>58078</MJD>
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<UT type="prediction"><UT1-UTC>0.22132</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22036</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.21942</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.21844</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.21740</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.21625</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1171</X>
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<UT type="prediction"><UT1-UTC>0.21492</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1151</X>
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<UT type="prediction"><UT1-UTC>0.21344</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.21183</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1110</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21012</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1090</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20836</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1069</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20665</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1049</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20504</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1028</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20358</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1008</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20224</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0988</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20097</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0967</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19970</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0947</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19838</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0927</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19698</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0907</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19552</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0887</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19402</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0866</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19254</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0846</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19112</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0826</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18979</UT1-UTC>
</UT>
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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>0.0807</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18858</UT1-UTC>
</UT>
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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>0.0787</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18749</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58104</MJD>
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<dataEOP><pole type="prediction"><X>0.0767</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18652</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58105</MJD>
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<dataEOP><pole type="prediction"><X>0.0747</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18565</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58106</MJD>
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<dataEOP><pole type="prediction"><X>0.0728</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18485</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58107</MJD>
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<dataEOP><pole type="prediction"><X>0.0708</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18408</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58108</MJD>
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<dataEOP><pole type="prediction"><X>0.0689</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18331</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0669</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18247</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0650</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18154</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0631</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18049</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0612</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17930</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0593</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17799</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0575</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17657</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0556</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17509</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58116</MJD>
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<dataEOP><pole type="prediction"><X>0.0538</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17360</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58117</MJD>
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<dataEOP><pole type="prediction"><X>0.0520</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17218</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58118</MJD>
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<dataEOP><pole type="prediction"><X>0.0501</X>
<Y>0.2795</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17085</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>01</dateDay>
<MJD>58119</MJD>
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<dataEOP><pole type="prediction"><X>0.0484</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16964</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58120</MJD>
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<dataEOP><pole type="prediction"><X>0.0466</X>
<Y>0.2813</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16851</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58121</MJD>
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<dataEOP><pole type="prediction"><X>0.0448</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16739</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58122</MJD>
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<dataEOP><pole type="prediction"><X>0.0431</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16621</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0413</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16494</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58124</MJD>
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<dataEOP><pole type="prediction"><X>0.0396</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16358</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58125</MJD>
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<dataEOP><pole type="prediction"><X>0.0380</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16216</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58126</MJD>
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<dataEOP><pole type="prediction"><X>0.0363</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16074</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58127</MJD>
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<dataEOP><pole type="prediction"><X>0.0346</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15937</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58128</MJD>
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<dataEOP><pole type="prediction"><X>0.0330</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15809</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0314</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15693</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58130</MJD>
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<dataEOP><pole type="prediction"><X>0.0298</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15589</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58131</MJD>
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<dataEOP><pole type="prediction"><X>0.0282</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15497</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58132</MJD>
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<dataEOP><pole type="prediction"><X>0.0267</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15416</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58133</MJD>
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<dataEOP><pole type="prediction"><X>0.0252</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15342</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58134</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0237</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15270</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58135</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0222</X>
<Y>0.2981</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15198</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58136</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0208</X>
<Y>0.2994</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15121</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58137</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0193</X>
<Y>0.3008</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15034</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>20</dateDay>
<MJD>58138</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0179</X>
<Y>0.3021</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14935</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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</time>
<dataEOP><pole type="prediction"><X>0.0166</X>
<Y>0.3035</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14823</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>22</dateDay>
<MJD>58140</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0152</X>
<Y>0.3049</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14697</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>23</dateDay>
<MJD>58141</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0139</X>
<Y>0.3063</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14561</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>0.0126</X>
<Y>0.3077</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14418</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>25</dateDay>
<MJD>58143</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0113</X>
<Y>0.3092</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14273</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>26</dateDay>
<MJD>58144</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0101</X>
<Y>0.3107</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14131</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>27</dateDay>
<MJD>58145</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0088</X>
<Y>0.3122</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13996</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>28</dateDay>
<MJD>58146</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0076</X>
<Y>0.3137</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13870</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
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<MJD>58147</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0065</X>
<Y>0.3152</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13751</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>30</dateDay>
<MJD>58148</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0054</X>
<Y>0.3168</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13634</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>31</dateDay>
<MJD>58149</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0042</X>
<Y>0.3184</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13511</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>01</dateDay>
<MJD>58150</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0032</X>
<Y>0.3200</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13377</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>02</dateDay>
<MJD>58151</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0021</X>
<Y>0.3216</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13230</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>03</dateDay>
<MJD>58152</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0011</X>
<Y>0.3232</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13072</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>04</dateDay>
<MJD>58153</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0001</X>
<Y>0.3248</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12910</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>05</dateDay>
<MJD>58154</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0008</X>
<Y>0.3265</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12750</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>-0.0018</X>
<Y>0.3281</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12599</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>07</dateDay>
<MJD>58156</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0027</X>
<Y>0.3298</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12460</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>-0.0035</X>
<Y>0.3315</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12335</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>-0.0044</X>
<Y>0.3332</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12224</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>10</dateDay>
<MJD>58159</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0052</X>
<Y>0.3350</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12125</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>11</dateDay>
<MJD>58160</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0059</X>
<Y>0.3367</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12036</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>12</dateDay>
<MJD>58161</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0067</X>
<Y>0.3385</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11954</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58162</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0074</X>
<Y>0.3402</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11873</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>14</dateDay>
<MJD>58163</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0081</X>
<Y>0.3420</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11791</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>15</dateDay>
<MJD>58164</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0087</X>
<Y>0.3438</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11702</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>16</dateDay>
<MJD>58165</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0093</X>
<Y>0.3456</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11605</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>17</dateDay>
<MJD>58166</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0099</X>
<Y>0.3474</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11497</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>18</dateDay>
<MJD>58167</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0104</X>
<Y>0.3492</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11377</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>19</dateDay>
<MJD>58168</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0110</X>
<Y>0.3510</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11246</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>20</dateDay>
<MJD>58169</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0114</X>
<Y>0.3529</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11109</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>21</dateDay>
<MJD>58170</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0119</X>
<Y>0.3547</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10968</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>22</dateDay>
<MJD>58171</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0123</X>
<Y>0.3566</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10829</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>23</dateDay>
<MJD>58172</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0127</X>
<Y>0.3584</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10695</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>24</dateDay>
<MJD>58173</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0130</X>
<Y>0.3603</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10566</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>25</dateDay>
<MJD>58174</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0133</X>
<Y>0.3621</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10441</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>26</dateDay>
<MJD>58175</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0136</X>
<Y>0.3640</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10315</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>27</dateDay>
<MJD>58176</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0138</X>
<Y>0.3659</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10183</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>02</dateMonth>
<dateDay>28</dateDay>
<MJD>58177</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0140</X>
<Y>0.3678</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10037</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>01</dateDay>
<MJD>58178</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0142</X>
<Y>0.3697</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09875</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>02</dateDay>
<MJD>58179</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0143</X>
<Y>0.3716</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09699</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>03</dateDay>
<MJD>58180</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0144</X>
<Y>0.3735</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09515</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>04</dateDay>
<MJD>58181</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0145</X>
<Y>0.3754</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09330</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>-0.0145</X>
<Y>0.3773</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09152</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>-0.0145</X>
<Y>0.3792</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08987</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>-0.0145</X>
<Y>0.3811</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08836</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>-0.0144</X>
<Y>0.3830</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08700</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>-0.0143</X>
<Y>0.3849</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08575</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>-0.0142</X>
<Y>0.3868</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08460</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>-0.0140</X>
<Y>0.3887</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08348</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>-0.0138</X>
<Y>0.3906</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08237</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>-0.0136</X>
<Y>0.3925</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08121</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>-0.0133</X>
<Y>0.3944</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07995</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>-0.0130</X>
<Y>0.3963</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07858</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58193</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0126</X>
<Y>0.3982</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07709</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58194</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0122</X>
<Y>0.4001</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07546</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>-0.0118</X>
<Y>0.4020</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07371</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>-0.0114</X>
<Y>0.4039</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07184</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>03</dateMonth>
<dateDay>20</dateDay>
<MJD>58197</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0109</X>
<Y>0.4058</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06990</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>-0.0104</X>
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<UT type="prediction"><UT1-UTC>0.06795</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>-0.0098</X>
<Y>0.4095</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06608</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58200</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0092</X>
<Y>0.4114</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06432</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58201</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0086</X>
<Y>0.4132</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06267</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58202</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0080</X>
<Y>0.4151</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06108</UT1-UTC>
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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>-0.0073</X>
<Y>0.4169</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05951</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58204</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0066</X>
<Y>0.4187</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05783</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58205</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0058</X>
<Y>0.4205</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.05604</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>-0.0050</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05412</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>-0.0042</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05208</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58208</MJD>
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<dataEOP><pole type="prediction"><X>-0.0033</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04997</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>-0.0025</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04785</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58210</MJD>
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<dataEOP><pole type="prediction"><X>-0.0016</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04587</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>-0.0006</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04402</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0004</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04232</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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</pole>
<UT type="prediction"><UT1-UTC>0.04079</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>0.03942</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0035</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03810</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0046</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03686</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0057</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03563</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0069</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03435</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>0.03299</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0093</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03150</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0105</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02986</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58222</MJD>
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<dataEOP><pole type="prediction"><X>0.0118</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02809</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58223</MJD>
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<dataEOP><pole type="prediction"><X>0.0131</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02624</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58224</MJD>
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<dataEOP><pole type="prediction"><X>0.0144</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02435</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0158</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02248</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58226</MJD>
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<dataEOP><pole type="prediction"><X>0.0171</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02070</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58227</MJD>
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<dataEOP><pole type="prediction"><X>0.0186</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01900</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0200</X>
<Y>0.4587</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01740</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58229</MJD>
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<dataEOP><pole type="prediction"><X>0.0214</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01592</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58230</MJD>
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<dataEOP><pole type="prediction"><X>0.0229</X>
<Y>0.4616</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01454</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58231</MJD>
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<dataEOP><pole type="prediction"><X>0.0244</X>
<Y>0.4630</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.01314</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0260</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01161</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58233</MJD>
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<dataEOP><pole type="prediction"><X>0.0275</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00995</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58234</MJD>
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<dataEOP><pole type="prediction"><X>0.0291</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00815</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58235</MJD>
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<dataEOP><pole type="prediction"><X>0.0307</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00628</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58236</MJD>
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<dataEOP><pole type="prediction"><X>0.0324</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00441</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58237</MJD>
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<dataEOP><pole type="prediction"><X>0.0340</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00261</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58238</MJD>
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<dataEOP><pole type="prediction"><X>0.0357</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00090</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58239</MJD>
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<dataEOP><pole type="prediction"><X>0.0374</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00071</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58240</MJD>
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<dataEOP><pole type="prediction"><X>0.0391</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00220</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0408</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00354</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0426</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00481</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58243</MJD>
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<dataEOP><pole type="prediction"><X>0.0444</X>
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<UT type="prediction"><UT1-UTC>-0.00601</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58244</MJD>
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<dataEOP><pole type="prediction"><X>0.0462</X>
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<UT type="prediction"><UT1-UTC>-0.00717</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58245</MJD>
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<dataEOP><pole type="prediction"><X>0.0480</X>
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<UT type="prediction"><UT1-UTC>-0.00831</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58246</MJD>
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<dataEOP><pole type="prediction"><X>0.0498</X>
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<UT type="prediction"><UT1-UTC>-0.00947</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58247</MJD>
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<dataEOP><pole type="prediction"><X>0.0517</X>
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<UT type="prediction"><UT1-UTC>-0.01073</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58248</MJD>
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<UT type="prediction"><UT1-UTC>-0.01210</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58249</MJD>
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<dataEOP><pole type="prediction"><X>0.0554</X>
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<UT type="prediction"><UT1-UTC>-0.01360</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58250</MJD>
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<dataEOP><pole type="prediction"><X>0.0573</X>
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<UT type="prediction"><UT1-UTC>-0.01519</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58251</MJD>
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<dataEOP><pole type="prediction"><X>0.0592</X>
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<UT type="prediction"><UT1-UTC>-0.01681</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58252</MJD>
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<UT type="prediction"><UT1-UTC>-0.01840</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58253</MJD>
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<dataEOP><pole type="prediction"><X>0.0631</X>
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<UT type="prediction"><UT1-UTC>-0.01990</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>0.0651</X>
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<UT type="prediction"><UT1-UTC>-0.02123</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>0.0671</X>
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<UT type="prediction"><UT1-UTC>-0.02237</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>0.0690</X>
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<UT type="prediction"><UT1-UTC>-0.02334</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58257</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0710</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.02422</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58258</MJD>
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<UT type="prediction"><UT1-UTC>-0.02509</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.02610</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0771</X>
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<UT type="prediction"><UT1-UTC>-0.02727</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0792</X>
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<UT type="prediction"><UT1-UTC>-0.02858</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0812</X>
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<UT type="prediction"><UT1-UTC>-0.03000</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0833</X>
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<UT type="prediction"><UT1-UTC>-0.03145</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.03286</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0874</X>
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<UT type="prediction"><UT1-UTC>-0.03417</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0895</X>
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<UT type="prediction"><UT1-UTC>-0.03536</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0916</X>
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<UT type="prediction"><UT1-UTC>-0.03641</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0937</X>
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<UT type="prediction"><UT1-UTC>-0.03730</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0958</X>
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<UT type="prediction"><UT1-UTC>-0.03800</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0979</X>
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<UT type="prediction"><UT1-UTC>-0.03855</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1000</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03903</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1022</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03949</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1043</X>
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<UT type="prediction"><UT1-UTC>-0.03997</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1064</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04050</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1085</X>
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<UT type="prediction"><UT1-UTC>-0.04114</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1107</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04187</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1128</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04266</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04349</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04438</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.04529</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1213</X>
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<UT type="prediction"><UT1-UTC>-0.04612</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1235</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04687</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1256</X>
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<UT type="prediction"><UT1-UTC>-0.04753</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1277</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04808</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04858</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1319</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04917</UT1-UTC>
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</pole>
<UT type="prediction"><UT1-UTC>-0.04986</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05065</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.05152</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.05241</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.05323</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.05391</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.05444</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.05481</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.05500</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.05501</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.05492</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1568</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05478</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1588</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.05465</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1608</X>
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<UT type="prediction"><UT1-UTC>-0.05456</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1628</X>
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<UT type="prediction"><UT1-UTC>-0.05454</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.1648</X>
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<UT type="prediction"><UT1-UTC>-0.05462</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.05484</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.05522</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.05573</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.05634</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>-0.05692</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.05744</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.05791</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.05826</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.05850</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.05870</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.05893</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1872</X>
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<UT type="prediction"><UT1-UTC>-0.05926</UT1-UTC>
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<UT type="prediction"><UT1-UTC>-0.05971</UT1-UTC>
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<MJD>58316</MJD>
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<dataEOP><pole type="prediction"><X>0.1907</X>
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<UT type="prediction"><UT1-UTC>-0.06023</UT1-UTC>
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<MJD>58317</MJD>
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<dataEOP><pole type="prediction"><X>0.1924</X>
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<UT type="prediction"><UT1-UTC>-0.06075</UT1-UTC>
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