Showing 1 - 20 results of 7,930 for search '(((( via ((we decrease) OR (mean decrease)) ) OR ( _ largest decrease ))) OR ( _ values decrease ))', query time: 0.60s Refine Results
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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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    TITAN thresholds and percentile estimates for benthic macroinvertebrate and diatom communities deemed to be sensitive decreasers or tolerant increasers. The thresholds represent the largest fsum <i>z</i> value in the main data analysis run (i.e., the median), whereas the 5<sup>th</sup> and 95<sup>th</sup> percentile change points are determined from 500 bootstrap replicate runs.... by Brent J. Bellinger (21156150)

    Published 2025
    “…<p>TITAN thresholds and percentile estimates for benthic macroinvertebrate and diatom communities deemed to be sensitive decreasers or tolerant increasers. The thresholds represent the largest fsum <i>z</i> value in the main data analysis run (i.e., the median), whereas the 5<sup>th</sup> and 95<sup>th</sup> percentile change points are determined from 500 bootstrap replicate runs. …”
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    Decreased production of antiviral factors in patients infected with SARS-CoV-2 due to reduced TLR7 expression by Julia Cataldo Lima (22811497)

    Published 2025
    “…</p> <p>To investigate this, we analyzed the expression of interferon-stimulated genes (ISGs) in 48 SARS-CoV-2-infected patients using real-time polymerase chain reaction (RT-qPCR) and assessed toll-like receptor (TLR7) expression in blood cells via flow cytometry.…”
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    K-means++ clustering 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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