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<UT type="prediction"><UT1-UTC>0.35341</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35329</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35324</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35323</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35322</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35316</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35301</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35275</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35237</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35188</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35131</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35071</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.35013</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.34963</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34924</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.34896</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.34876</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.34857</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1772</X>
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<UT type="prediction"><UT1-UTC>0.34833</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1783</X>
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<UT type="prediction"><UT1-UTC>0.34800</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1794</X>
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<UT type="prediction"><UT1-UTC>0.34759</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1805</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34713</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1815</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34667</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1826</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34626</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1836</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34594</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1845</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34572</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1855</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34561</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1864</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34561</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1873</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34569</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1882</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34583</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1891</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34598</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1899</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34609</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.34613</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34605</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.34583</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1930</X>
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<UT type="prediction"><UT1-UTC>0.34546</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1937</X>
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<UT type="prediction"><UT1-UTC>0.34494</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1944</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34432</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.1951</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34366</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1957</X>
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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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<dataEOP><pole type="prediction"><X>0.1963</X>
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<UT type="prediction"><UT1-UTC>0.34240</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1969</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.34189</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1975</X>
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<UT type="prediction"><UT1-UTC>0.34147</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1980</X>
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<UT type="prediction"><UT1-UTC>0.34111</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1985</X>
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<UT type="prediction"><UT1-UTC>0.34075</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1990</X>
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<UT type="prediction"><UT1-UTC>0.34034</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1994</X>
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<UT type="prediction"><UT1-UTC>0.33982</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1998</X>
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<UT type="prediction"><UT1-UTC>0.33918</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2002</X>
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<UT type="prediction"><UT1-UTC>0.33843</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2006</X>
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<UT type="prediction"><UT1-UTC>0.33762</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2009</X>
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<UT type="prediction"><UT1-UTC>0.33681</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33605</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.2015</X>
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<UT type="prediction"><UT1-UTC>0.33537</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.2017</X>
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<UT type="prediction"><UT1-UTC>0.33479</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33431</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33392</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.2023</X>
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<UT type="prediction"><UT1-UTC>0.33358</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2024</X>
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<UT type="prediction"><UT1-UTC>0.33327</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2025</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.33294</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57999</MJD>
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<dataEOP><pole type="prediction"><X>0.2026</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.33254</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58000</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2027</X>
<Y>0.3759</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33203</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>05</dateDay>
<MJD>58001</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2027</X>
<Y>0.3743</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33136</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>06</dateDay>
<MJD>58002</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2027</X>
<Y>0.3728</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.33053</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>07</dateDay>
<MJD>58003</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2026</X>
<Y>0.3713</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32954</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>08</dateDay>
<MJD>58004</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2026</X>
<Y>0.3698</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32841</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>09</dateDay>
<MJD>58005</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2025</X>
<Y>0.3682</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32720</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>10</dateDay>
<MJD>58006</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2023</X>
<Y>0.3667</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32599</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>11</dateDay>
<MJD>58007</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2022</X>
<Y>0.3652</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32483</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>12</dateDay>
<MJD>58008</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2020</X>
<Y>0.3637</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32377</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>13</dateDay>
<MJD>58009</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2018</X>
<Y>0.3621</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32280</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>14</dateDay>
<MJD>58010</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2015</X>
<Y>0.3606</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32191</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>15</dateDay>
<MJD>58011</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2013</X>
<Y>0.3591</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32104</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>16</dateDay>
<MJD>58012</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2010</X>
<Y>0.3576</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.32013</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>17</dateDay>
<MJD>58013</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2006</X>
<Y>0.3561</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31913</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>18</dateDay>
<MJD>58014</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2003</X>
<Y>0.3546</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31799</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>19</dateDay>
<MJD>58015</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1999</X>
<Y>0.3531</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31674</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>20</dateDay>
<MJD>58016</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1995</X>
<Y>0.3516</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31540</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>21</dateDay>
<MJD>58017</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1991</X>
<Y>0.3501</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31403</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>22</dateDay>
<MJD>58018</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1986</X>
<Y>0.3486</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31268</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>23</dateDay>
<MJD>58019</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1981</X>
<Y>0.3471</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31141</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>09</dateMonth>
<dateDay>24</dateDay>
<MJD>58020</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1976</X>
<Y>0.3456</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31023</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>0.1970</X>
<Y>0.3442</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30916</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>0.1965</X>
<Y>0.3427</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30820</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>0.1959</X>
<Y>0.3412</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30732</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>0.1952</X>
<Y>0.3398</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30648</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>0.1946</X>
<Y>0.3384</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30565</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>0.1939</X>
<Y>0.3369</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30476</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>0.1932</X>
<Y>0.3355</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30379</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>0.1925</X>
<Y>0.3341</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30268</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>0.1917</X>
<Y>0.3327</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30141</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>0.1909</X>
<Y>0.3313</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29997</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>0.1901</X>
<Y>0.3300</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29837</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>0.1893</X>
<Y>0.3286</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29667</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>0.1884</X>
<Y>0.3273</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29493</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>0.1875</X>
<Y>0.3259</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29324</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>0.1866</X>
<Y>0.3246</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29166</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>0.1857</X>
<Y>0.3233</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29021</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>0.1847</X>
<Y>0.3220</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28888</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>0.1837</X>
<Y>0.3207</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28761</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>0.1827</X>
<Y>0.3195</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28635</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>0.1817</X>
<Y>0.3182</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28503</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>0.1806</X>
<Y>0.3170</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28362</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>0.1796</X>
<Y>0.3157</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28210</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>0.1785</X>
<Y>0.3145</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28050</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>0.1773</X>
<Y>0.3134</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27885</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>0.1762</X>
<Y>0.3122</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27720</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>0.1750</X>
<Y>0.3110</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27562</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>0.1739</X>
<Y>0.3099</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27413</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>0.1727</X>
<Y>0.3088</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27275</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>0.1714</X>
<Y>0.3077</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27149</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>0.1702</X>
<Y>0.3066</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27033</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>0.1689</X>
<Y>0.3055</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26925</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>0.1676</X>
<Y>0.3045</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26820</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>0.1663</X>
<Y>0.3034</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26714</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>10</dateMonth>
<dateDay>28</dateDay>
<MJD>58054</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1650</X>
<Y>0.3024</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26602</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>0.1637</X>
<Y>0.3015</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26479</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>0.1623</X>
<Y>0.3005</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26343</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>0.1610</X>
<Y>0.2995</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26191</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>0.1596</X>
<Y>0.2986</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26023</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>0.1582</X>
<Y>0.2977</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25842</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>03</dateDay>
<MJD>58060</MJD>
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<dataEOP><pole type="prediction"><X>0.1567</X>
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<UT type="prediction"><UT1-UTC>0.25654</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.25466</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.25288</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.25124</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.24974</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24835</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24700</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.24563</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.24420</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.24269</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.24111</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23949</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23788</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23633</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23486</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23352</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.23229</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1306</X>
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<UT type="prediction"><UT1-UTC>0.23119</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.23018</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22924</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22831</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22735</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22633</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22520</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.22393</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1173</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.22253</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.22099</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.21935</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1123</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21768</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.21606</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1089</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21455</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1072</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21318</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.21194</UT1-UTC>
</UT>
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</pole>
<UT type="prediction"><UT1-UTC>0.21076</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.20959</UT1-UTC>
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</pole>
<UT type="prediction"><UT1-UTC>0.20835</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.20702</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.20560</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.20414</UT1-UTC>
</UT>
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</pole>
<UT type="prediction"><UT1-UTC>0.20267</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.20125</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0903</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19991</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0886</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19867</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.0870</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19754</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.19652</UT1-UTC>
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</pole>
<UT type="prediction"><UT1-UTC>0.19558</UT1-UTC>
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</pole>
<UT type="prediction"><UT1-UTC>0.19469</UT1-UTC>
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</pole>
<UT type="prediction"><UT1-UTC>0.19382</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.19292</UT1-UTC>
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</pole>
<UT type="prediction"><UT1-UTC>0.19195</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.19089</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.18972</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.18844</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.18706</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.18560</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.18412</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.18267</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0643</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18130</UT1-UTC>
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<MJD>58118</MJD>
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<dataEOP><pole type="prediction"><X>0.0628</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18004</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0612</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17887</UT1-UTC>
</UT>
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<dataEOP><pole type="prediction"><X>0.0597</X>
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<UT type="prediction"><UT1-UTC>0.17774</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
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<MJD>58121</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0582</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17656</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>04</dateDay>
<MJD>58122</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0567</X>
<Y>0.2906</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17527</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58123</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0552</X>
<Y>0.2913</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17385</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>06</dateDay>
<MJD>58124</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0538</X>
<Y>0.2920</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17232</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>07</dateDay>
<MJD>58125</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0523</X>
<Y>0.2927</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17072</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>08</dateDay>
<MJD>58126</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0509</X>
<Y>0.2935</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16910</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>09</dateDay>
<MJD>58127</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0494</X>
<Y>0.2943</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16751</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58128</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0480</X>
<Y>0.2951</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16602</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58129</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0466</X>
<Y>0.2960</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16470</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58130</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0453</X>
<Y>0.2968</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16354</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58131</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0439</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16253</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>14</dateDay>
<MJD>58132</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0426</X>
<Y>0.2986</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16164</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58133</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0413</X>
<Y>0.2996</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16085</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58134</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0400</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16011</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>17</dateDay>
<MJD>58135</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0387</X>
<Y>0.3015</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15936</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58136</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0374</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15859</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>19</dateDay>
<MJD>58137</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0362</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15777</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>20</dateDay>
<MJD>58138</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0349</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15687</UT1-UTC>
</UT>
</dataEOP>
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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>0.0337</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15583</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>0.0325</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15463</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58141</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0314</X>
<Y>0.3077</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15331</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>0.0302</X>
<Y>0.3089</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15187</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>25</dateDay>
<MJD>58143</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0291</X>
<Y>0.3100</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15037</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>26</dateDay>
<MJD>58144</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0280</X>
<Y>0.3111</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14892</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>27</dateDay>
<MJD>58145</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0270</X>
<Y>0.3123</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14755</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>28</dateDay>
<MJD>58146</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0259</X>
<Y>0.3135</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14624</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>29</dateDay>
<MJD>58147</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0249</X>
<Y>0.3147</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14500</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>30</dateDay>
<MJD>58148</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0239</X>
<Y>0.3159</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14377</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>31</dateDay>
<MJD>58149</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0229</X>
<Y>0.3171</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14248</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>0.0219</X>
<Y>0.3184</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14106</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>02</dateDay>
<MJD>58151</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0210</X>
<Y>0.3197</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13954</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58152</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0201</X>
<Y>0.3209</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13794</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58153</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0192</X>
<Y>0.3222</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13631</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58154</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0183</X>
<Y>0.3235</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13472</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>0.0175</X>
<Y>0.3249</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13323</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>07</dateDay>
<MJD>58156</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0167</X>
<Y>0.3262</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13189</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>08</dateDay>
<MJD>58157</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0159</X>
<Y>0.3276</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13070</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>09</dateDay>
<MJD>58158</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0151</X>
<Y>0.3289</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12962</UT1-UTC>
</UT>
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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>0.0144</X>
<Y>0.3303</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12864</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>0.0137</X>
<Y>0.3317</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12773</UT1-UTC>
</UT>
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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>0.0130</X>
<Y>0.3331</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12686</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>13</dateDay>
<MJD>58162</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0124</X>
<Y>0.3345</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12600</UT1-UTC>
</UT>
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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>0.0117</X>
<Y>0.3359</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12506</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58164</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0111</X>
<Y>0.3374</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12398</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>0.0106</X>
<Y>0.3388</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12275</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58166</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0100</X>
<Y>0.3403</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12134</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>0.0095</X>
<Y>0.3417</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11983</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58168</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0090</X>
<Y>0.3432</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11823</UT1-UTC>
</UT>
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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>0.0086</X>
<Y>0.3447</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11653</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58170</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0081</X>
<Y>0.3462</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11481</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58171</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0077</X>
<Y>0.3477</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11315</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>0.0073</X>
<Y>0.3492</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11157</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>0.0070</X>
<Y>0.3507</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.11009</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58174</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0067</X>
<Y>0.3522</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10871</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58175</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0064</X>
<Y>0.3537</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10737</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58176</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0061</X>
<Y>0.3553</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10604</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58177</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0059</X>
<Y>0.3568</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10465</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58178</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0057</X>
<Y>0.3584</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10315</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58179</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0055</X>
<Y>0.3599</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.10147</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>03</dateDay>
<MJD>58180</MJD>
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<dataEOP><pole type="prediction"><X>0.0054</X>
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<UT type="prediction"><UT1-UTC>0.09967</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.09783</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.09607</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0051</X>
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<UT type="prediction"><UT1-UTC>0.09432</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0051</X>
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<UT type="prediction"><UT1-UTC>0.09264</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0051</X>
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<UT type="prediction"><UT1-UTC>0.09108</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0051</X>
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<UT type="prediction"><UT1-UTC>0.08966</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0052</X>
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<UT type="prediction"><UT1-UTC>0.08829</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.08697</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.08567</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0055</X>
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<UT type="prediction"><UT1-UTC>0.08434</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.08295</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0059</X>
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<UT type="prediction"><UT1-UTC>0.08149</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0061</X>
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<UT type="prediction"><UT1-UTC>0.07995</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0064</X>
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<UT type="prediction"><UT1-UTC>0.07827</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0067</X>
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<UT type="prediction"><UT1-UTC>0.07645</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0070</X>
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<UT type="prediction"><UT1-UTC>0.07452</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0073</X>
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<UT type="prediction"><UT1-UTC>0.07258</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0077</X>
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<UT type="prediction"><UT1-UTC>0.07064</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.06871</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.06687</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0090</X>
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<UT type="prediction"><UT1-UTC>0.06513</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.06349</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.06187</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.06020</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.05843</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.05649</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.05442</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.05227</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.05017</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.04812</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.04621</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.04447</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.04286</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.04130</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.03977</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.03825</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.03671</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.03515</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.03351</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.03177</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.02989</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.02788</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.02577</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.02361</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.02153</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.0290</X>
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<UT type="prediction"><UT1-UTC>0.01957</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.01773</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.01606</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<UT type="prediction"><UT1-UTC>0.01455</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.01315</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0348</X>
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<UT type="prediction"><UT1-UTC>0.01178</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<dataEOP><pole type="prediction"><X>0.0360</X>
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<UT type="prediction"><UT1-UTC>0.01037</UT1-UTC>
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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>0.0373</X>
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<UT type="prediction"><UT1-UTC>0.00890</UT1-UTC>
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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>0.0385</X>
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<UT type="prediction"><UT1-UTC>0.00731</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58235</MJD>
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<UT type="prediction"><UT1-UTC>0.00558</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>0.0411</X>
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<UT type="prediction"><UT1-UTC>0.00379</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>0.0424</X>
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<UT type="prediction"><UT1-UTC>0.00204</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>0.0437</X>
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<UT type="prediction"><UT1-UTC>0.00041</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>0.0451</X>
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</pole>
<UT type="prediction"><UT1-UTC>-0.00106</UT1-UTC>
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<timeSeries><time><dateYear>2018</dateYear>
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