Search alternatives:
significantly teer » significantly better (Expand Search), significantly weaker (Expand Search), significantly lower (Expand Search)
longer decrease » larger decrease (Expand Search), largest decrease (Expand Search)
linear decrease » linear increase (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
significantly teer » significantly better (Expand Search), significantly weaker (Expand Search), significantly lower (Expand Search)
longer decrease » larger decrease (Expand Search), largest decrease (Expand Search)
linear decrease » linear increase (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
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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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Estimation of the coefficients of a generalised linear model of posttraumatic stress symptomatology.
Published 2025Subjects: -
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Significant condition.
Published 2024“…BET and SEM analyses demonstrated that the specific surface area and porosity (most probable pore size) gradually decreased over time. At various ages, mesopores (cumulative pore diameter, median pore diameter) initially increased and then decreased. …”
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Detailed information of the observation datasets.
Published 2025“…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”
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General technical specification for GW154/6700.
Published 2025“…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”
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