Search alternatives:
values decrease » values increased (Expand Search), largest decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
increase » increased (Expand Search)
values decrease » values increased (Expand Search), largest decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
increase » increased (Expand Search)
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The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness.
Published 2025“…Parameter values: interaction strengths were drawn from a half-normal distribution of zero mean and a standard deviation of 0.2, and strength for consumers was made no larger than the strength for resources. …”
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Y-27632 collaborated with BA to attenuate the increase in the integrity and decrease in the permeability of epithelial barrier injury induced by LPS in Caco2 monolayers.
Published 2024“…<p>(<b>A)</b> Y-27632 collaborated with BA to attenuate the effect of LPS on TEER in Caco2 cells on days 1–22. …”
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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.
Published 2025“…<b>(E)</b> Following surgery, the PSD became steeper in the disconnected cortex, as indexed by a significant pre- to post-decrease in Spectral Exponent toward more negative values, observed in all patients (i.e., all negative post-pre differences for the disconnected cortex). …”
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Scheme of g-λ model with larger values λ.
Published 2024“…The stress-deformation model of the single uncoupled joint (g-λ model with λ ≥ 1) is employed to depict the nonlinearity of uncoupled joints, with a greater value of the parameter λ signifying a lower degree of non-linearity in the joint model curve. …”
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Biases in larger populations.
Published 2025“…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. …”
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