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Showing 1 - 20 results of 5,939 for search '(( auc ((largest decrease) OR (larger decrease)) ) OR ( _ ((gender decrease) OR (mean decrease)) ))', query time: 0.50s Refine Results
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    CM-DWM-EC chart using 30% decrease in the mean for the E(KeV). by Shumaila Nisar (20114256)

    Published 2024
    “…<p>CM-DWM-EC chart using 30% decrease in the mean for the E(KeV).</p>…”
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    <b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" by Kira Shaw (18796168)

    Published 2025
    “…<p dir="ltr">The CSV file 'Eyreetal_DrainingVein_SourceData' contains the averaged time series traces and extracted metrics from individual experiments used across Figures 1-5 in the manuscript "Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins". The following acronyms included in the CSV file are defined as follows: Hbt is total hemoglobin, Art is artery region, DV is draining vein region, WV is whisker vein region, SEM is standard error mean, TS is time series, max peak is maximum peak, min peak is minima, AUC is area under the curve, WT is wild-type, AD is Alzheimer's disease, ATH is atherosclerosis and MIX is mixed AD/atherosclerosis. …”
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    Lecturers by gender. by Ignacio García-Espona (21395335)

    Published 2025
    “…The year and type of presentation; the name, country and gender of the first author; and the full title of the presentation were considered. …”
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    Posters by gender. by Ignacio García-Espona (21395335)

    Published 2025
    “…The year and type of presentation; the name, country and gender of the first author; and the full title of the presentation were considered. …”
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    Marginal means – Pooled across scenarios. by Mehdi Mourali (10170245)

    Published 2025
    “…Additionally, preferences polarized along partisan identities, with Democrats favoring impact parity over accuracy maximization while Republicans displayed the reverse preference. Gender and social justice orientations also significantly predicted EIA support. …”
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