Showing 1,401 - 1,420 results of 27,650 for search '(( 50 ((we decrease) OR (a decrease)) ) OR ( 50 ((nn decrease) OR (mean decrease)) ))', query time: 1.08s Refine Results
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    Taurolidine lock solution for catheter-related bloodstream infections in pediatric patients: A meta-analysis by Yan Sun (22436)

    Published 2020
    “…The number of catheters removed due to infection or suspected infection was not significantly different between the two groups (RR: 0.68; 95% CI:0.22, 2.10; I<sup>2</sup> = 56%; P = 0.50) (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0231110#pone.0231110.g005" target="_blank">Fig 5</a>). …”
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    EphA4 immunostaining is decreased adjacent to injury site in ephrin-A5-Fc treated mice. by Yona Goldshmit (205708)

    Published 2011
    “…Arrows indicate lesion site. Scale bars in A–D, G,H, 100 µm; E,F, 50 µm.</p>…”
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    Paeameter ranges and optimal values. by Zhen Zhao (159931)

    Published 2025
    “…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
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    Improved random forest algorithm. by Zhen Zhao (159931)

    Published 2025
    “…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
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    Datasets used in the study area. by Zhen Zhao (159931)

    Published 2025
    “…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
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    Evaluation of the improved random forest model. by Zhen Zhao (159931)

    Published 2025
    “…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”