Search alternatives:
ns decrease » nn decrease (Expand Search), a decrease (Expand Search), use decreased (Expand Search)
we decrease » a decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
0 decrease » a decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
_ decrease » _ decreased (Expand Search)
51 0 » 1 0 (Expand Search), 01 0 (Expand Search)
ns decrease » nn decrease (Expand Search), a decrease (Expand Search), use decreased (Expand Search)
we decrease » a decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
0 decrease » a decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
_ decrease » _ decreased (Expand Search)
51 0 » 1 0 (Expand Search), 01 0 (Expand Search)
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HFD induces LDs and decreases ER and mitochondria in nephrocytes.
Published 2021“…Asterisks show statistical significance (* <i>p</i> < 0.05, ** <i>p</i> < 0.005, ***<i>p</i> < 0.0005), and ns indicates <i>p</i> > 0.05 in this and all subsequent graphs. …”
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The GluN2B-C456Y mutation decreases recombinant NMDAR currents and alters receptor properties.
Published 2020“…(F) The GluN2B-C456Y mutation decreases the sensitivity to glycine. <i>n</i> = 4 oocytes for WT (EC<sub>50</sub> = 0.38 ± 0.017 μM) and 9 oocytes for C456Y (EC<sub>50</sub> = 1.13 ± 0.049 μM), **<i>P</i> = 0.007, Mann-Whitney. …”
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Table_1_Decreased Serum Brain-Derived Neurotrophic Factor Concentrations 72 Hours Following Marathon Running.DOCX
Published 2021“…</p><p>Results: Linear mixed-model analyses revealed a main effect of time for BDNF concentrations over the study period (F<sub>(4,89.389)</sub> = 4.296, p = 0.003). Values decreased significantly with the lowest values at 72 h after the marathon compared to baseline (p = 0.025), a finding that was more pronounced in the larger male cohort.…”
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SLE decreases risk for hormonal cancers.
Published 2021“…(b) Prostate cancer incidence in male SLE cohort is significantly decreased by SLE status (OR 0.23, 95% CI 0.089, 0.50, p = 0.0053).…”
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Neural networks classify states which differ in neuronal activity levels using ensembles of neurons that increase/decrease their activity in each state.
Published 2021“…<p><b>(A)</b> In this case, the State B raster was generated from the State A raster by shifting activity from neurons 1–50 to neurons 51–100. As a result, there is an increase (neurons 51:100) or decrease (neurons 1:50) in activity levels in State B compared to State A. …”
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