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<UT type="prediction"><UT1-UTC>0.49616</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>14</dateDay>
<MJD>57826</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0046</X>
<Y>0.3466</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49431</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>15</dateDay>
<MJD>57827</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0047</X>
<Y>0.3483</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49250</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>16</dateDay>
<MJD>57828</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0048</X>
<Y>0.3500</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.49076</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>17</dateDay>
<MJD>57829</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0048</X>
<Y>0.3517</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48911</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>18</dateDay>
<MJD>57830</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0048</X>
<Y>0.3535</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48755</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>19</dateDay>
<MJD>57831</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0048</X>
<Y>0.3552</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48607</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>20</dateDay>
<MJD>57832</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0047</X>
<Y>0.3569</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48465</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>21</dateDay>
<MJD>57833</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0046</X>
<Y>0.3586</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48327</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>22</dateDay>
<MJD>57834</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0045</X>
<Y>0.3604</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48188</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>23</dateDay>
<MJD>57835</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0043</X>
<Y>0.3621</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.48043</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>24</dateDay>
<MJD>57836</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0041</X>
<Y>0.3638</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47888</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>25</dateDay>
<MJD>57837</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0039</X>
<Y>0.3656</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47719</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>26</dateDay>
<MJD>57838</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0036</X>
<Y>0.3673</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47533</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>27</dateDay>
<MJD>57839</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0033</X>
<Y>0.3690</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47329</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>28</dateDay>
<MJD>57840</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0030</X>
<Y>0.3707</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.47113</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>29</dateDay>
<MJD>57841</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0027</X>
<Y>0.3724</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46890</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>30</dateDay>
<MJD>57842</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0023</X>
<Y>0.3741</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46670</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>03</dateMonth>
<dateDay>31</dateDay>
<MJD>57843</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0019</X>
<Y>0.3758</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46461</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>01</dateDay>
<MJD>57844</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0014</X>
<Y>0.3775</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46266</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>02</dateDay>
<MJD>57845</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0009</X>
<Y>0.3792</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.46087</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>03</dateDay>
<MJD>57846</MJD>
</time>
<dataEOP><pole type="prediction"><X>-0.0004</X>
<Y>0.3809</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45920</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>04</dateDay>
<MJD>57847</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0001</X>
<Y>0.3826</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45759</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57848</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0007</X>
<Y>0.3842</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45597</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57849</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0013</X>
<Y>0.3859</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45432</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57850</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0020</X>
<Y>0.3875</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45260</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57851</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0026</X>
<Y>0.3892</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.45080</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57852</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0033</X>
<Y>0.3908</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44896</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57853</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0041</X>
<Y>0.3924</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44711</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57854</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0048</X>
<Y>0.3940</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44529</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57855</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0056</X>
<Y>0.3956</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44355</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57856</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0064</X>
<Y>0.3972</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44189</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>14</dateDay>
<MJD>57857</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0073</X>
<Y>0.3988</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.44035</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57858</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0081</X>
<Y>0.4004</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43892</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57859</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0090</X>
<Y>0.4019</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43758</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57860</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0099</X>
<Y>0.4034</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43631</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57861</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0109</X>
<Y>0.4050</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43506</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>19</dateDay>
<MJD>57862</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0119</X>
<Y>0.4065</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43379</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>20</dateDay>
<MJD>57863</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0129</X>
<Y>0.4080</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43245</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>21</dateDay>
<MJD>57864</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0139</X>
<Y>0.4095</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.43099</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>22</dateDay>
<MJD>57865</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0150</X>
<Y>0.4109</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42938</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>23</dateDay>
<MJD>57866</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0161</X>
<Y>0.4124</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42761</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>24</dateDay>
<MJD>57867</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0172</X>
<Y>0.4138</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42568</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>25</dateDay>
<MJD>57868</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0183</X>
<Y>0.4152</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42364</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>26</dateDay>
<MJD>57869</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0195</X>
<Y>0.4166</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.42159</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>27</dateDay>
<MJD>57870</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0207</X>
<Y>0.4180</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41961</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>28</dateDay>
<MJD>57871</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0219</X>
<Y>0.4194</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41776</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>29</dateDay>
<MJD>57872</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0231</X>
<Y>0.4207</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41609</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>04</dateMonth>
<dateDay>30</dateDay>
<MJD>57873</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0244</X>
<Y>0.4220</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41457</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>01</dateDay>
<MJD>57874</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0257</X>
<Y>0.4233</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41315</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>02</dateDay>
<MJD>57875</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0270</X>
<Y>0.4246</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41175</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57876</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0283</X>
<Y>0.4259</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.41034</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>04</dateDay>
<MJD>57877</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0297</X>
<Y>0.4272</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40888</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>05</dateDay>
<MJD>57878</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0310</X>
<Y>0.4284</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40737</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>06</dateDay>
<MJD>57879</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0324</X>
<Y>0.4296</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40582</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>57880</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0338</X>
<Y>0.4308</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40427</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>08</dateDay>
<MJD>57881</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0353</X>
<Y>0.4320</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40275</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>09</dateDay>
<MJD>57882</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0367</X>
<Y>0.4331</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.40130</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>10</dateDay>
<MJD>57883</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0382</X>
<Y>0.4342</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.39995</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>11</dateDay>
<MJD>57884</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0397</X>
<Y>0.4353</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.39871</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>05</dateMonth>
<dateDay>12</dateDay>
<MJD>57885</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0412</X>
<Y>0.4364</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.39760</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39659</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39568</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39483</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39399</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39311</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39215</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.39107</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38985</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38847</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38698</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38542</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38388</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38244</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38115</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.38002</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.37902</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37807</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.37713</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37615</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37512</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37407</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37302</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37201</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37107</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.37022</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36949</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36888</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36838</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36798</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36764</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36732</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36698</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36658</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36607</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36468</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36380</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36283</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36184</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36089</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.36006</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35936</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35879</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35829</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35779</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35663</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35597</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35529</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35464</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35405</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35355</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35315</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35286</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35268</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35259</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35256</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35254</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35251</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35138</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.35079</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34288</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34291</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34322</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34341</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.34307</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.33849</UT1-UTC>
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<UT type="prediction"><UT1-UTC>0.31969</UT1-UTC>
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<dataEOP><pole type="prediction"><X>0.2146</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31810</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2149</X>
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<UT type="prediction"><UT1-UTC>0.31654</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2152</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31507</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2154</X>
<Y>0.3803</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.31375</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58009</MJD>
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<dataEOP><pole type="prediction"><X>0.2157</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31256</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2159</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31149</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2160</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.31048</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2162</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.30949</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2163</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.30838</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2164</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.30721</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2164</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.30596</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.2164</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.30457</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58017</MJD>
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<dataEOP><pole type="prediction"><X>0.2164</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.30316</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58018</MJD>
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<dataEOP><pole type="prediction"><X>0.2164</X>
<Y>0.3645</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.30173</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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</time>
<dataEOP><pole type="prediction"><X>0.2163</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.30042</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>24</dateDay>
<MJD>58020</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2162</X>
<Y>0.3614</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29914</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58021</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2161</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.29789</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>26</dateDay>
<MJD>58022</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2160</X>
<Y>0.3583</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29675</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>27</dateDay>
<MJD>58023</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2158</X>
<Y>0.3567</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29568</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>28</dateDay>
<MJD>58024</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2156</X>
<Y>0.3551</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29462</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>29</dateDay>
<MJD>58025</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2153</X>
<Y>0.3536</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29355</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>30</dateDay>
<MJD>58026</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2150</X>
<Y>0.3520</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29240</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>01</dateDay>
<MJD>58027</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2147</X>
<Y>0.3504</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.29107</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>02</dateDay>
<MJD>58028</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2144</X>
<Y>0.3489</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28961</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>03</dateDay>
<MJD>58029</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2140</X>
<Y>0.3474</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28791</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>04</dateDay>
<MJD>58030</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2136</X>
<Y>0.3458</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28601</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>05</dateDay>
<MJD>58031</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2132</X>
<Y>0.3443</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28394</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>06</dateDay>
<MJD>58032</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2128</X>
<Y>0.3428</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.28175</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>07</dateDay>
<MJD>58033</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2123</X>
<Y>0.3412</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27949</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>08</dateDay>
<MJD>58034</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2118</X>
<Y>0.3397</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27728</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>09</dateDay>
<MJD>58035</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2113</X>
<Y>0.3382</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27521</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>10</dateDay>
<MJD>58036</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2107</X>
<Y>0.3367</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27324</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58037</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2101</X>
<Y>0.3353</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.27132</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>12</dateDay>
<MJD>58038</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2095</X>
<Y>0.3338</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26948</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58039</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2089</X>
<Y>0.3323</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26762</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>14</dateDay>
<MJD>58040</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2082</X>
<Y>0.3309</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26571</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58041</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2075</X>
<Y>0.3294</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26362</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>16</dateDay>
<MJD>58042</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2068</X>
<Y>0.3280</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.26134</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58043</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2061</X>
<Y>0.3266</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25899</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>18</dateDay>
<MJD>58044</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2053</X>
<Y>0.3251</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25662</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>19</dateDay>
<MJD>58045</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2045</X>
<Y>0.3237</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25436</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>20</dateDay>
<MJD>58046</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2037</X>
<Y>0.3224</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25220</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>21</dateDay>
<MJD>58047</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2028</X>
<Y>0.3210</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.25016</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>22</dateDay>
<MJD>58048</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2020</X>
<Y>0.3196</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24824</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>23</dateDay>
<MJD>58049</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2011</X>
<Y>0.3183</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24639</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58050</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.2001</X>
<Y>0.3169</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24467</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>25</dateDay>
<MJD>58051</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1992</X>
<Y>0.3156</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24308</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>26</dateDay>
<MJD>58052</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1982</X>
<Y>0.3143</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24159</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>27</dateDay>
<MJD>58053</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1972</X>
<Y>0.3130</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.24016</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>28</dateDay>
<MJD>58054</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1962</X>
<Y>0.3117</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23874</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>29</dateDay>
<MJD>58055</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1952</X>
<Y>0.3105</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23727</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58056</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1941</X>
<Y>0.3092</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23569</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58057</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1931</X>
<Y>0.3080</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23387</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>01</dateDay>
<MJD>58058</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1920</X>
<Y>0.3068</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.23194</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>02</dateDay>
<MJD>58059</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1908</X>
<Y>0.3056</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22981</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>03</dateDay>
<MJD>58060</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1897</X>
<Y>0.3044</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22764</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>04</dateDay>
<MJD>58061</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1885</X>
<Y>0.3033</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22549</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>05</dateDay>
<MJD>58062</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1874</X>
<Y>0.3021</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22343</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>0.1861</X>
<Y>0.3010</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.22156</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>07</dateDay>
<MJD>58064</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1849</X>
<Y>0.2999</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.21986</UT1-UTC>
</UT>
</dataEOP>
</timeSeries>
<timeSeries><time><dateYear>2017</dateYear>
<dateMonth>11</dateMonth>
<dateDay>08</dateDay>
<MJD>58065</MJD>
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<UT type="prediction"><UT1-UTC>0.21835</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.21681</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<UT type="prediction"><UT1-UTC>0.21528</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1799</X>
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<UT type="prediction"><UT1-UTC>0.21366</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1785</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.21201</UT1-UTC>
</UT>
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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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</pole>
<UT type="prediction"><UT1-UTC>0.21035</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1759</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20865</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1745</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20692</UT1-UTC>
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<timeSeries><time><dateYear>2017</dateYear>
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</pole>
<UT type="prediction"><UT1-UTC>0.20517</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1717</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20353</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1703</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20205</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1689</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.20069</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1675</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19944</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1660</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19824</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1646</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19724</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58080</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1631</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19622</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1616</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19515</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1601</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19403</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1586</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19274</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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</time>
<dataEOP><pole type="prediction"><X>0.1571</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.19127</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1556</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18964</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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</time>
<dataEOP><pole type="prediction"><X>0.1540</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18789</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1525</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18603</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1509</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.18412</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58089</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1494</X>
<Y>0.2792</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18236</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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</time>
<dataEOP><pole type="prediction"><X>0.1478</X>
<Y>0.2786</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.18063</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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</time>
<dataEOP><pole type="prediction"><X>0.1462</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.17916</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58092</MJD>
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<dataEOP><pole type="prediction"><X>0.1446</X>
<Y>0.2777</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17774</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58093</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1430</X>
<Y>0.2772</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17634</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58094</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1414</X>
<Y>0.2768</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17485</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>08</dateDay>
<MJD>58095</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1398</X>
<Y>0.2764</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17327</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58096</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1382</X>
<Y>0.2760</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.17157</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58097</MJD>
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<dataEOP><pole type="prediction"><X>0.1366</X>
<Y>0.2756</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16979</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1350</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.16793</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1334</X>
<Y>0.2750</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16611</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58100</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1318</X>
<Y>0.2747</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16427</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58101</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1301</X>
<Y>0.2744</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16252</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58102</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1285</X>
<Y>0.2742</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.16092</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58103</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1269</X>
<Y>0.2740</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15955</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58104</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1252</X>
<Y>0.2738</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15827</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58105</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1236</X>
<Y>0.2736</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15700</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58106</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1220</X>
<Y>0.2735</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15587</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2017</dateYear>
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<dateDay>20</dateDay>
<MJD>58107</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1204</X>
<Y>0.2734</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15464</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58108</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1187</X>
<Y>0.2733</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.15351</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58109</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1171</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15235</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<dataEOP><pole type="prediction"><X>0.1155</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.15109</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58111</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1139</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14971</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58112</MJD>
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<dataEOP><pole type="prediction"><X>0.1122</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14820</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>0.1106</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14651</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58114</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1090</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14473</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58115</MJD>
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<dataEOP><pole type="prediction"><X>0.1074</X>
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</pole>
<UT type="prediction"><UT1-UTC>0.14294</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58116</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1058</X>
<Y>0.2736</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.14118</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58117</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1042</X>
<Y>0.2737</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13940</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2017</dateYear>
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<MJD>58118</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1026</X>
<Y>0.2739</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13787</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<dateDay>01</dateDay>
<MJD>58119</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.1010</X>
<Y>0.2741</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13637</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58120</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0994</X>
<Y>0.2743</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13485</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58121</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0979</X>
<Y>0.2745</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13328</UT1-UTC>
</UT>
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<timeSeries><time><dateYear>2018</dateYear>
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<MJD>58122</MJD>
</time>
<dataEOP><pole type="prediction"><X>0.0963</X>
<Y>0.2748</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13168</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>0.0948</X>
<Y>0.2751</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.13001</UT1-UTC>
</UT>
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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>0.0932</X>
<Y>0.2754</Y>
</pole>
<UT type="prediction"><UT1-UTC>0.12820</UT1-UTC>
</UT>
</dataEOP>
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<timeSeries><time><dateYear>2018</dateYear>
<dateMonth>01</dateMonth>
<dateDay>07</dateDay>
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