Search alternatives:
significant problem » significant progress (Expand Search), significant variables (Expand Search)
significant teer » significant gender (Expand Search), significant genes (Expand Search), significant trend (Expand Search)
problem decision » program decision (Expand Search), problem definition (Expand Search), provide decision (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
significant problem » significant progress (Expand Search), significant variables (Expand Search)
significant teer » significant gender (Expand Search), significant genes (Expand Search), significant trend (Expand Search)
problem decision » program decision (Expand Search), problem definition (Expand Search), provide decision (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
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MO problem definition.
Published 2024“…The average values obtained by the Friedman rank test and comparison analysis unequivocally showed that MOHO outperformed other methods in resolving significant structure optimization problems quickly. …”
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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. (<b>B)</b> Y-27632 collaborated with BA to attenuate the effect of LPS on TEER in Caco2 cells on day 22. …”
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Conceptual framework for an effective adaptive reuse decision-making process for investors.
Published 2025Subjects: -
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The effect of HA digestion and HA replenishment alone or with CS on barrier function measured by TEER.
Published 2025“…PS decreased TEER. (C) Different treatments (treatment groups n = 8)with HA and/or CS did not affect TEER recovery after PS treatment, full recovery was seen in all groups after 24 hours. …”
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GHOST: Adjusting the Decision Threshold to Handle Imbalanced Data in Machine Learning
Published 2021“…For binary data, the classification threshold is set by default to 0.5 which, however, is often not ideal for imbalanced data. Adjusting the decision threshold is a good strategy to deal with the class imbalance problem. …”
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