بدائل البحث:
linear decrease » linear increase (توسيع البحث)
larger decrease » marked decrease (توسيع البحث)
b larger » _ larger (توسيع البحث), b large (توسيع البحث), _ large (توسيع البحث)
a larger » a large (توسيع البحث), _ larger (توسيع البحث), _ large (توسيع البحث)
linear decrease » linear increase (توسيع البحث)
larger decrease » marked decrease (توسيع البحث)
b larger » _ larger (توسيع البحث), b large (توسيع البحث), _ large (توسيع البحث)
a larger » a large (توسيع البحث), _ larger (توسيع البحث), _ large (توسيع البحث)
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Biases in larger populations.
منشور في 2025"…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. …"
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Loss of ECRG4 expression decreases neutrophil mobilization from bone marrow reserves.
منشور في 2024الموضوعات: -
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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>"
منشور في 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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The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness.
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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A Locally Linear Dynamic Strategy for Manifold Learning.
منشور في 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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