Search alternatives:
significant county » significant country (Expand Search), significant amount (Expand Search), significant cluster (Expand Search)
teer decrease » greater decrease (Expand Search)
mean decrease » a decrease (Expand Search)
county based » country based (Expand Search), community based (Expand Search), city based (Expand Search)
significant county » significant country (Expand Search), significant amount (Expand Search), significant cluster (Expand Search)
teer decrease » greater decrease (Expand Search)
mean decrease » a decrease (Expand Search)
county based » country based (Expand Search), community based (Expand Search), city based (Expand Search)
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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“…The values are expressed as the means ± SDs and were analyzed according to the variance of the factorial design. **, *** and ****denote <i>p</i> < 0.01, < 0.001 and < 0.0001, respectively; ns = not significant.…”
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The map of the study site in Jiangling County, Hubei Province, People’s Republic of China.
Published 2023Subjects: -
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Trends in the observed total annual rainfall and mean temperature over Taita Taveta (1981–2020).
Published 2023Subjects: -
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Transepithelial electrical resistance (TEER) (N = 6).
Published 2024“…<p><b>(A)</b> During the cultivation of SMC and ALI we observed significantly differences on day 18 (SMC: 9.61 kΩ*cm<sup>2</sup>; ALI: 7.73 kΩ*cm<sup>2</sup>; p<0.05) and day 25 (SMC: 8.19 kΩ*cm<sup>2</sup>; ALI: 6.44 kΩ*cm<sup>2</sup>; p<0.05) ALI cultures showed significantly decreased values compared to SMC. …”
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Locations of the counties included in this study.
Published 2025“…Using the Optima Nutrition model, we aimed to (1) assess the impact of scaling up evidence-based nutrition interventions and (2) determine how existing resources could be optimized to reduce stunting, wasting, and anemia in children under five and anemia in pregnant women across 24 counties with the poorest nutrition outcomes.…”
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