Showing 1 - 20 results of 5,861 for search '(( a linear decrease ) OR ((( via ((_ decrease) OR (teer decrease)) ) OR ( _ larger decrease ))))', query time: 0.40s Refine Results
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    The results of linear mixed model. by Soheila Qanbari (20455173)

    Published 2024
    “…The tDCS group demonstrated a significant decrease in AMT of MF and TrA/IO muscles (P < 0.05) and an increase in N80 amplitude (P = 0.027), with no significant changes in the control group. …”
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    A Locally Linear Dynamic Strategy for Manifold Learning. by Weifan Wang (4669081)

    Published 2025
    “…For 10-30% noise, where the Hebbian network employs a local linear transform, learning selectively increases signal direction alignment (blue) while simultaneously decreasing noise direction alignment (orange). …”
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    Biases in larger populations. by Sander W. Keemink (21253563)

    Published 2025
    “…(<b>B</b>) Minimum and maximum bias in a long 1D array with rectified cosine tuning. Bias expressed in terms of the distance between neurons in a linear population of equally spaced neurons. …”
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    <b>When more isn’t better: Sperm competition decreases fertilization success and motile sperm in two sea urchin species</b> by Luisa Kumpitsch (20874095)

    Published 2025
    “…<p dir="ltr">Abstract of the paper "<b>When more isn’t better: Sperm competition decreases fertilization success and motile sperm in two sea urchin species":</b></p><p dir="ltr">Fertilization is a fundamental process where sperm-egg fusion is essential to maintain life of most metazoans. …”
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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
    “…The locomotion values (traces and metrics) are in arbitrary units with larger integers representing a greater displacement of the spherical treadmill, the hemodynamic (Hbt) values (traces and metrics) are a percentage change from the normalised baseline (prior to stimulus presentation), and the corresponding time series vector is presented in seconds. …”
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