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<UT type="prediction"><UT1-UTC>0.34754</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34708</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34673</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34649</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34632</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34621</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34612</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34600</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34581</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34550</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34507</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34450</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34379</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34300</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34217</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34137</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34062</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.33998</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33944</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33896</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33850</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33799</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33739</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.33667</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.33586</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.33500</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.33415</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.33335</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.33264</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.33204</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33155</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33116</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33084</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33055</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33024</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32987</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.32939</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.32876</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.32795</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32697</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.32586</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.32467</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.32348</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.32235</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.32132</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.32040</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.31955</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31873</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31788</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31694</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31587</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31469</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31342</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31211</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31083</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30961</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30848</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30747</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30655</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.30570</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1978</X>
<Y>0.3413</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30490</UT1-UTC>
</UT>
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</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>29</dateDay>
<MJD>58025</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1971</X>
<Y>0.3399</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30410</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>30</dateDay>
<MJD>58026</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1964</X>
<Y>0.3385</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30325</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>0.1957</X>
<Y>0.3371</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30231</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>0.1949</X>
<Y>0.3357</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30124</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>0.1941</X>
<Y>0.3343</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30000</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>0.1933</X>
<Y>0.3329</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29859</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>0.1925</X>
<Y>0.3316</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29702</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>0.1916</X>
<Y>0.3302</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29535</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>0.1907</X>
<Y>0.3289</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29364</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>0.1898</X>
<Y>0.3276</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29197</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>0.1889</X>
<Y>0.3262</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29039</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>0.1879</X>
<Y>0.3249</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28893</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>0.1870</X>
<Y>0.3236</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28759</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>0.1859</X>
<Y>0.3224</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28631</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>0.1849</X>
<Y>0.3211</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28503</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>0.1839</X>
<Y>0.3199</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28370</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>0.1828</X>
<Y>0.3186</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28227</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>0.1817</X>
<Y>0.3174</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28073</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>0.1806</X>
<Y>0.3162</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27910</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>0.1794</X>
<Y>0.3150</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27743</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>0.1782</X>
<Y>0.3139</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27576</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>0.1771</X>
<Y>0.3127</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27415</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>0.1758</X>
<Y>0.3116</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27264</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>0.1746</X>
<Y>0.3105</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27123</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>0.1734</X>
<Y>0.3094</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26994</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>0.1721</X>
<Y>0.3083</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26876</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>0.1708</X>
<Y>0.3072</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26764</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>0.1695</X>
<Y>0.3062</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26656</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>27</dateDay>
<MJD>58053</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1682</X>
<Y>0.3052</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26547</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>0.1668</X>
<Y>0.3042</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26432</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>29</dateDay>
<MJD>58055</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1654</X>
<Y>0.3032</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26307</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>30</dateDay>
<MJD>58056</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1641</X>
<Y>0.3022</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26168</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>0.1627</X>
<Y>0.3013</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26013</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>01</dateDay>
<MJD>58058</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1612</X>
<Y>0.3004</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25842</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>02</dateDay>
<MJD>58059</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1598</X>
<Y>0.2995</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25658</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>03</dateDay>
<MJD>58060</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1584</X>
<Y>0.2986</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25468</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>04</dateDay>
<MJD>58061</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1569</X>
<Y>0.2978</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25278</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>0.2969</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25097</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>06</dateDay>
<MJD>58063</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1539</X>
<Y>0.2961</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24930</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>58064</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1524</X>
<Y>0.2953</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24778</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>08</dateDay>
<MJD>58065</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1509</X>
<Y>0.2946</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24637</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>09</dateDay>
<MJD>58066</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1493</X>
<Y>0.2938</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24500</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>10</dateDay>
<MJD>58067</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1478</X>
<Y>0.2931</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24360</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>11</dateDay>
<MJD>58068</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1462</X>
<Y>0.2924</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24215</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>12</dateDay>
<MJD>58069</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1446</X>
<Y>0.2917</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24061</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>13</dateDay>
<MJD>58070</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1431</X>
<Y>0.2911</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23900</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>14</dateDay>
<MJD>58071</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1415</X>
<Y>0.2905</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23735</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>15</dateDay>
<MJD>58072</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1398</X>
<Y>0.2898</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23572</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>16</dateDay>
<MJD>58073</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1382</X>
<Y>0.2893</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23413</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>0.1366</X>
<Y>0.2887</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23264</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>0.1350</X>
<Y>0.2882</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23127</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>19</dateDay>
<MJD>58076</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1333</X>
<Y>0.2877</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23002</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>20</dateDay>
<MJD>58077</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1316</X>
<Y>0.2872</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22889</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>0.1300</X>
<Y>0.2868</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22785</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>22</dateDay>
<MJD>58079</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1283</X>
<Y>0.2863</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22688</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>23</dateDay>
<MJD>58080</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1266</X>
<Y>0.2859</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22593</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>24</dateDay>
<MJD>58081</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1249</X>
<Y>0.2856</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22494</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>25</dateDay>
<MJD>58082</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1233</X>
<Y>0.2852</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22389</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>26</dateDay>
<MJD>58083</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1216</X>
<Y>0.2849</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22272</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>27</dateDay>
<MJD>58084</MJD>
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<dataEOP><pole type="prediction"><X>0.1199</X>
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<UT type="prediction"><UT1-UTC>0.22143</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.21998</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1164</X>
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<UT type="prediction"><UT1-UTC>0.21841</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1147</X>
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<UT type="prediction"><UT1-UTC>0.21673</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1130</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21501</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1113</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21334</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1096</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21177</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1078</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21034</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1061</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20904</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1044</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20781</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1027</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20658</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1009</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20530</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0992</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20394</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0975</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20253</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0958</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20108</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0941</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19965</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58100</MJD>
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<dataEOP><pole type="prediction"><X>0.0924</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19828</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0906</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19701</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0889</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19586</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>0.0872</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19484</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0855</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19395</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>0.0838</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19317</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>0.0822</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19246</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>20</dateDay>
<MJD>58107</MJD>
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<dataEOP><pole type="prediction"><X>0.0805</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19181</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0788</X>
<Y>0.2854</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.19115</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>22</dateDay>
<MJD>58109</MJD>
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<dataEOP><pole type="prediction"><X>0.0772</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19045</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58110</MJD>
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<dataEOP><pole type="prediction"><X>0.0755</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18968</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58111</MJD>
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<dataEOP><pole type="prediction"><X>0.0739</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18880</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>25</dateDay>
<MJD>58112</MJD>
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<dataEOP><pole type="prediction"><X>0.0722</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18781</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58113</MJD>
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<dataEOP><pole type="prediction"><X>0.0706</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18670</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58114</MJD>
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<dataEOP><pole type="prediction"><X>0.0690</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18550</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0674</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18424</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0658</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18297</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0642</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18174</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>0.0626</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18059</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58119</MJD>
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<dataEOP><pole type="prediction"><X>0.0611</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17952</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0595</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17850</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0580</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17746</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>0.0565</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17634</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58123</MJD>
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<dataEOP><pole type="prediction"><X>0.0550</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17511</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>0.0535</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17377</UT1-UTC>
</UT>
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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>0.0520</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17236</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>0.0505</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17094</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>0.0491</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16958</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0477</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16831</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0463</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16716</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>0.0449</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16613</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0435</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16522</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>0.0421</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16441</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>0.0408</X>
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<UT type="prediction"><UT1-UTC>0.16365</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58134</MJD>
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<dataEOP><pole type="prediction"><X>0.0395</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16292</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58135</MJD>
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<dataEOP><pole type="prediction"><X>0.0382</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16217</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58136</MJD>
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<dataEOP><pole type="prediction"><X>0.0369</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16136</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58137</MJD>
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<dataEOP><pole type="prediction"><X>0.0356</X>
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<UT type="prediction"><UT1-UTC>0.16043</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58138</MJD>
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<dataEOP><pole type="prediction"><X>0.0344</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>58139</MJD>
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<dataEOP><pole type="prediction"><X>0.0332</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15816</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58140</MJD>
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<dataEOP><pole type="prediction"><X>0.0320</X>
<Y>0.3094</Y>
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<UT type="prediction"><UT1-UTC>0.15681</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58141</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0308</X>
<Y>0.3105</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15533</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>24</dateDay>
<MJD>58142</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0297</X>
<Y>0.3116</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15375</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58143</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0285</X>
<Y>0.3128</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15212</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>26</dateDay>
<MJD>58144</MJD>
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<dataEOP><pole type="prediction"><X>0.0274</X>
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<UT type="prediction"><UT1-UTC>0.15049</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0263</X>
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<UT type="prediction"><UT1-UTC>0.14892</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58146</MJD>
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<dataEOP><pole type="prediction"><X>0.0253</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14745</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58147</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0242</X>
<Y>0.3176</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14607</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58148</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0232</X>
<Y>0.3188</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14474</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58149</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0222</X>
<Y>0.3201</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14338</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>01</dateDay>
<MJD>58150</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0213</X>
<Y>0.3213</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14190</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58151</MJD>
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<dataEOP><pole type="prediction"><X>0.0203</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14028</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58152</MJD>
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<dataEOP><pole type="prediction"><X>0.0194</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13859</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58153</MJD>
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<dataEOP><pole type="prediction"><X>0.0185</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13689</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58154</MJD>
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<dataEOP><pole type="prediction"><X>0.0176</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13524</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58155</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0168</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13370</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58156</MJD>
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<dataEOP><pole type="prediction"><X>0.0160</X>
<Y>0.3293</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13233</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58157</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0152</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.13113</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58158</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0144</X>
<Y>0.3321</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13009</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58159</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0137</X>
<Y>0.3335</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12916</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58160</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0130</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12832</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58161</MJD>
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<dataEOP><pole type="prediction"><X>0.0123</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12744</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>0.0117</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12648</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58163</MJD>
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<dataEOP><pole type="prediction"><X>0.0110</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12542</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58164</MJD>
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<dataEOP><pole type="prediction"><X>0.0105</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12422</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58165</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0099</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12287</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58166</MJD>
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<dataEOP><pole type="prediction"><X>0.0093</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.12137</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58167</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0088</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.11973</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58168</MJD>
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<dataEOP><pole type="prediction"><X>0.0083</X>
<Y>0.3467</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11795</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58169</MJD>
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<dataEOP><pole type="prediction"><X>0.0079</X>
<Y>0.3482</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11608</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58170</MJD>
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<dataEOP><pole type="prediction"><X>0.0075</X>
<Y>0.3497</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11419</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58171</MJD>
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<dataEOP><pole type="prediction"><X>0.0071</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.11239</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58172</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0067</X>
<Y>0.3528</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11072</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58173</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0064</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.10916</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>25</dateDay>
<MJD>58174</MJD>
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<dataEOP><pole type="prediction"><X>0.0061</X>
<Y>0.3559</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10769</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>26</dateDay>
<MJD>58175</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0058</X>
<Y>0.3575</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10628</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58176</MJD>
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<dataEOP><pole type="prediction"><X>0.0055</X>
<Y>0.3590</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10485</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>28</dateDay>
<MJD>58177</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0053</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.10333</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58178</MJD>
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<dataEOP><pole type="prediction"><X>0.0051</X>
<Y>0.3622</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10168</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58179</MJD>
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<dataEOP><pole type="prediction"><X>0.0050</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09994</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58180</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0048</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09815</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58181</MJD>
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<dataEOP><pole type="prediction"><X>0.0047</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.09631</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58182</MJD>
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<dataEOP><pole type="prediction"><X>0.0047</X>
<Y>0.3685</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09449</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58183</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0046</X>
<Y>0.3701</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09276</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58184</MJD>
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<dataEOP><pole type="prediction"><X>0.0046</X>
<Y>0.3717</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.09111</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58185</MJD>
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<dataEOP><pole type="prediction"><X>0.0046</X>
<Y>0.3733</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08956</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58186</MJD>
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<dataEOP><pole type="prediction"><X>0.0047</X>
<Y>0.3749</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08816</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58187</MJD>
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<dataEOP><pole type="prediction"><X>0.0048</X>
<Y>0.3765</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.08688</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58188</MJD>
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<dataEOP><pole type="prediction"><X>0.0049</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08562</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58189</MJD>
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<dataEOP><pole type="prediction"><X>0.0050</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08437</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58190</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0052</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08309</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58191</MJD>
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<dataEOP><pole type="prediction"><X>0.0054</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08172</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58192</MJD>
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<dataEOP><pole type="prediction"><X>0.0056</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.08023</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58193</MJD>
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<dataEOP><pole type="prediction"><X>0.0059</X>
<Y>0.3861</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.07862</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58194</MJD>
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<dataEOP><pole type="prediction"><X>0.0062</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07690</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58195</MJD>
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<dataEOP><pole type="prediction"><X>0.0065</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07507</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58196</MJD>
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<dataEOP><pole type="prediction"><X>0.0068</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07316</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58197</MJD>
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<dataEOP><pole type="prediction"><X>0.0072</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.07125</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58198</MJD>
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<dataEOP><pole type="prediction"><X>0.0076</X>
<Y>0.3940</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06943</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58199</MJD>
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<dataEOP><pole type="prediction"><X>0.0080</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.06771</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58200</MJD>
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<dataEOP><pole type="prediction"><X>0.0085</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.06608</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58201</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0090</X>
<Y>0.3986</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06455</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58202</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0095</X>
<Y>0.4002</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06307</UT1-UTC>
</UT>
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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>0.0101</X>
<Y>0.4017</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.06160</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>27</dateDay>
<MJD>58204</MJD>
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<dataEOP><pole type="prediction"><X>0.0106</X>
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<UT type="prediction"><UT1-UTC>0.06007</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0112</X>
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<UT type="prediction"><UT1-UTC>0.05840</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0119</X>
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<UT type="prediction"><UT1-UTC>0.05653</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0125</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05451</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0132</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05240</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0140</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.05033</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0147</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04837</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0155</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04651</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0163</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04479</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0171</X>
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<UT type="prediction"><UT1-UTC>0.04326</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0180</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04185</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0188</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.04056</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0197</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03933</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0207</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03811</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0216</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03689</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0226</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>0.0236</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03426</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0246</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03273</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0257</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.03104</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0268</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02924</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0279</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02742</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0290</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02553</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0301</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02367</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0313</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02193</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0325</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.02033</UT1-UTC>
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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>0.0337</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01878</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0350</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01726</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0362</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01573</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0375</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01411</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>0.0388</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01240</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>0.0401</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.01064</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0415</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00885</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0428</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00707</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.00533</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0456</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00369</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0470</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.00221</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0484</X>
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<UT type="prediction"><UT1-UTC>0.00085</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0499</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00043</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58242</MJD>
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<dataEOP><pole type="prediction"><X>0.0514</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00161</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0528</X>
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<UT type="prediction"><UT1-UTC>-0.00272</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>0.0543</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00377</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>0.0559</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00482</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>0.0574</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00590</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>0.0589</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00707</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58248</MJD>
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<dataEOP><pole type="prediction"><X>0.0605</X>
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<UT type="prediction"><UT1-UTC>-0.00838</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>0.0621</X>
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<UT type="prediction"><UT1-UTC>-0.00984</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>0.0636</X>
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<UT type="prediction"><UT1-UTC>-0.01141</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>0.0652</X>
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<UT type="prediction"><UT1-UTC>-0.01303</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58252</MJD>
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<dataEOP><pole type="prediction"><X>0.0669</X>
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<UT type="prediction"><UT1-UTC>-0.01468</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>0.0685</X>
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<UT type="prediction"><UT1-UTC>-0.01626</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58254</MJD>
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<UT type="prediction"><UT1-UTC>-0.01769</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>0.0718</X>
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<UT type="prediction"><UT1-UTC>-0.01900</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>0.0734</X>
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<UT type="prediction"><UT1-UTC>-0.02024</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>0.0751</X>
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<UT type="prediction"><UT1-UTC>-0.02148</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>0.0768</X>
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<UT type="prediction"><UT1-UTC>-0.02275</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58259</MJD>
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<dataEOP><pole type="prediction"><X>0.0784</X>
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<UT type="prediction"><UT1-UTC>-0.02409</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58260</MJD>
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<dataEOP><pole type="prediction"><X>0.0801</X>
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<UT type="prediction"><UT1-UTC>-0.02549</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>0.0818</X>
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<UT type="prediction"><UT1-UTC>-0.02697</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>0.0835</X>
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<UT type="prediction"><UT1-UTC>-0.02849</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>0.0853</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.03001</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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