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larger decrease » marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
e decrease » we decrease (Expand Search), _ decrease (Expand Search), a decrease (Expand Search)
a larger » a large (Expand Search), _ larger (Expand Search), _ large (Expand Search)
a linear » _ linear (Expand Search)
larger decrease » marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
e decrease » we decrease (Expand Search), _ decrease (Expand Search), a decrease (Expand Search)
a larger » a large (Expand Search), _ larger (Expand Search), _ large (Expand Search)
a linear » _ linear (Expand Search)
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The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness.
Published 2025“…(C) Mutualism also promotes an increase in network connectance when introduced into assembled communities, while stopping mutualistic interactions from entering an assembled system slowly decreases it. (D) As a result, the introduction of mutualistic interactions promotes a growth in complexity in communities where it was once established as low, while stopping the introduction of further mutualistic interactions causes a slight decrease in complexity. …”
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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>"
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.
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 stability of the flow of a second order fluid past a wedge
Published 2024“…</p><p>'velProfiles' generates figures 2(a)-(f): Velocity profile and relative variation with respect to the Newtonian<br>profile for increasing and decreasing values of the parameter K; (a), (b) γ = 0 (flat plate); (c), (d) γ = 0.5<br>(flow past a wedge); (e), (f) γ = 1 (stagnation flow).…”
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