Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significant changes » significant challenge (Expand Search)
significant based » significant cause (Expand Search), significant barrier (Expand Search), significant burden (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significant changes » significant challenge (Expand Search)
significant based » significant cause (Expand Search), significant barrier (Expand Search), significant burden (Expand Search)
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1581
The minimal data set 13.
Published 2024“…The most significant service delivery changes included repurposing health centers and prolonged prescriptions (multi-month medication dispensing). …”
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1582
The minimal data set 7.
Published 2024“…The most significant service delivery changes included repurposing health centers and prolonged prescriptions (multi-month medication dispensing). …”
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1583
Summary map of all contacts with statistically significant SVM classifications.
Published 2024“…The middle row shows the directionality of spectral change for these significant SVM clusters during number trial conditions versus inter-trial intervals. …”
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1584
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1585
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1587
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“…(<b>C</b>) Y-27632 collaborated with BA to alleviate the decrease in FD-4 flux in LPS-induced Caco2 cells on day 22. …”
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1588
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1589
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1590
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1591
Cytokine production in mice transplanted with feces from people with intestinal protists.
Published 2024Subjects: -
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1593
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1595
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1596
NK cell frequencies in the colon and spleen of mice with FMT from people with intestinal protists.
Published 2024Subjects: -
1597
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1598
Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses
Published 2025“…In contrast, reversing managed to natural ecosystems significantly increased NNM by 20% (9.7, 25.4%) and decreased NN by 89% (−125, −46%), indicating increasing N availability while decreasing potential N loss. …”
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1599
Model selection based on best fit.
Published 2025“…We utilized geo-covariate data from the Demographic and Health surveys (DHS) program, applying a Moran’s I test for spatial autocorrelation, a geostatistical Bayesian-based model to predict malaria incidence at an unsampled locations, and calculated the percentage change in predicted incidence over a ten-year interval. …”
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1600