Search alternatives:
significantly reduce » significantly reduced (Expand Search), significantly greater (Expand Search), significantly enhance (Expand Search)
reduce decrease » reduce disease (Expand Search), reduce depressive (Expand Search), induces decreased (Expand Search)
longer decrease » larger decrease (Expand Search), largest decrease (Expand Search)
linear decrease » linear increase (Expand Search)
significantly reduce » significantly reduced (Expand Search), significantly greater (Expand Search), significantly enhance (Expand Search)
reduce decrease » reduce disease (Expand Search), reduce depressive (Expand Search), induces decreased (Expand Search)
longer decrease » larger decrease (Expand Search), largest decrease (Expand Search)
linear decrease » linear increase (Expand Search)
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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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Autophagy significantly influences the apoptotic levels of RGCs in glaucomatous mouse eyes.
Published 2024Subjects: -
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FBLN1 regulates ferroptosis by reducing free ferrous iron by inhibiting TGF-β/Smad pathway.
Published 2024Subjects: -
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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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