Showing 1 - 20 results of 3,632 for search '(((( a larger decrease ) OR ( second ((nn decrease) OR (a decrease)) ))) OR ( a linear decrease ))', query time: 0.59s Refine Results
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    Linear stability of the flow of a second order fluid past a wedge by Martina Cracco (19655263)

    Published 2024
    “…<p>The linear stability analysis of Rivlin-Ericksen fluids of second order is investigated for boundary layer flows, where a semi-infinite wedge is placed symmetrically with respect to the flow direction. …”
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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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    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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    Linear fit parameters of OQ<sub>EGG</sub> and OQ<sub>GAW</sub>. by Jonas Kirsch (20642910)

    Published 2025
    “…</p><p> Materials and methods </p><p>Nine untrained, healthy subjects (5 female, 4 male) were asked to perform Messa di Voce exercises on the vowel [i:], involving a gradual increase and decrease of volume. During the first task, each phase should take 3 s, whereas in the second task, each phase should take 1 s. …”
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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. …”