يعرض 1 - 20 نتائج من 3,580 نتيجة بحث عن '(( across ((sleep decrease) OR (mean decrease)) ) OR ( a ((large decrease) OR (larger decrease)) ))', وقت الاستعلام: 0.75s تنقيح النتائج
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    Group-level narrow- and broad-band spectral changes after hemispherotomy reveal a marked EEG slowing of the isolated cortex, robust across patients. حسب Michele Angelo Colombo (22446342)

    منشور في 2025
    "…<p><b>(A)</b> The geometric mean of the PSD was taken first across electrodes, and subsequently across patients, for the observed PSD (main graph) as well as for the aperiodic fit of the PSD (corresponding to a straight line under logarithmic scale for both <i>x</i> and <i>y</i> axes, inset graph). …"
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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>" حسب Kira Shaw (18796168)

    منشور في 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". …"
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    The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. حسب Gui Araujo (22170819)

    منشور في 2025
    "…When they stop being introduced in further assembly events (i.e. introduced species do not carry any mutualistic interactions), their proportion slowly decreases with successive invasions. (B) Even though higher proportions of mutualism promote higher richness, introducing this type of interaction into already assembled large communities promotes a sudden drop in richness, while stopping mutualism promotes a slight boost in richness increase. …"
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    Marginal means – Pooled across scenarios. حسب Mehdi Mourali (10170245)

    منشور في 2025
    "…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …"
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    Average mean decrease Gini across 100 partitions for the top 10 most important variables for binary mixed model and random forest. حسب Helal El-Zaatari (20442243)

    منشور في 2025
    "…<p>Average mean decrease Gini across 100 partitions for the top 10 most important variables for binary mixed model and random forest.…"
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