Showing 881 - 900 results of 31,327 for search '(( 50 ((teer decrease) OR (((a decrease) OR (nn decrease)))) ) OR ( a step decrease ))', query time: 1.04s Refine Results
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    Netrin-1 overexpression increases HCV RNA and specific infectivity of HCV virions in vitro whereas Netrin-1 depletion decreases HCV RNA and specific infectivity in vitro. by Marie-Laure Plissonnier (337713)

    Published 2016
    “…<b>L</b>. Netrin-1 depletion decreases specific infectivity of virions. Specific infectivity was calculated for each collected fraction using the TCID<sub>50</sub>/HCV RNA ratio. …”
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    The slope for all significant factors on the number of steps before a fall across all three speeds. by Amy Mitchell (3208905)

    Published 2022
    “…<p>Interactions are indicated with a “+”. The slope indicates the magnitude and sign of the effect, where a negative slope indicates that the number of steps taken decreases as the variability changes from low to high. …”
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    One-Step Estimator Paths for Concave Regularization by Matt Taddy (2878235)

    Published 2019
    “…In response, this article proposes a simple new algorithm framework that requires no more computation than a lasso path: the path of one-step estimators (POSE) does ℓ<sub>1</sub> penalized regression estimation on a grid of decreasing penalties, but adapts coefficient-specific weights to decrease as a function of the coefficient estimated in the previous path step. …”
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    Rape-related symptoms in adolescents: short- and long-term outcome after cognitive behavior group therapy by Iva Bicanic (14339079)

    Published 2023
    “…</p> <p>The aim of this prospective observational study was to evaluate the short- and long-term outcomes of a nine-session cognitive behavior group therapy (STEPS), including a parallel six-session parents’ group on rape-related symptomatology in female adolescents (13–18 years). …”
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    Stepped wedge cluster randomized trial design. by Antonio Marty Quispe (12574259)

    Published 2025
    “…Analysis followed a stepped-wedge mixed-effects negative binomial model adjusting for clustering and time trends. …”
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