Showing 881 - 900 results of 32,509 for search '(( 50 ((((ns decrease) OR (a decrease))) OR (mean decrease)) ) OR ( e point decrease ))', query time: 0.90s Refine Results
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    Discovery of an eIF4A Inhibitor with a Novel Mechanism of Action by Christopher J. Zerio (11595690)

    Published 2021
    “…A medicinal chemistry campaign produced the novel eIF4A inhibitor <b>28</b>, which decreased BJAB Burkitt lymphoma cell viability. …”
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    IC<sub>50</sub> values for inhibition of RdRp activity of NS5B by Nuc (3′-d′CTP) and NNIs. by Sarah E. Boyce (434826)

    Published 2014
    “…<p>Numbers represent mean and standard deviation of IC<sub>50</sub> values determined for each inhibitor against the set of NS5B constructs. …”
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    Estimated time (in days) required for a decrease of the viral titer by 1 log<sub>10</sub> TCID<sub>50</sub>/mL. by Camille Lebarbenchon (122050)

    Published 2011
    “…<p>Estimated time (in days) required for a decrease of the viral titer by 1 log<sub>10</sub> TCID<sub>50</sub>/mL.…”
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    OP50 <i>E. coli</i>-fed nematodes are generally healthy while pathogen-fed worms demonstrate a decrease in overall health. by Michelle R. Bond (669241)

    Published 2014
    “…(B) The average pumping rate for nematodes fed <i>P. aeruginosa</i> is decreased when compared to N2 animals fed OP50. Worms with a <i>pmk-1(km25)</i> background exhibit the largest decrease in pumping rate. …”
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    The schematic diagram of the SD decrease and CNR increase rates by 50% ASiR and MBIR (compared with those by FBP). by Peigang Ning (541890)

    Published 2014
    “…<p>As the mA value decreased, MBIR brought about gradually augmented variations in the two parameters, whereas 50% ASiR did not give rise to noticeable variations.…”
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    Fig 6 - by Dennis Ochola (11626912)

    Published 2022
    Subjects:
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    Species that significantly increased (“Winners”) or decreased (“Losers”) in abundance over the past 50+ years in the study area [33]. by Katie Frerker (680803)

    Published 2014
    “…</p><p>Species that significantly increased (“Winners”) or decreased (“Losers”) in abundance over the past 50+ years in the study area <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0115843#pone.0115843-Wiegmann1" target="_blank">[33]</a>.…”
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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. …”