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we decrease » _ decrease (Expand Search), nn decrease (Expand Search), teer decrease (Expand Search)
n decrease » nn decrease (Expand Search), _ decrease (Expand Search), _ decreased (Expand Search)
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5 mean » _ mean (Expand Search), a mean (Expand Search), i mean (Expand Search)
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we decrease » _ decrease (Expand Search), nn decrease (Expand Search), teer decrease (Expand Search)
n decrease » nn decrease (Expand Search), _ decrease (Expand Search), _ decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
5 mean » _ mean (Expand Search), a mean (Expand Search), i mean (Expand Search)
50 n » 50 ns (Expand Search), 50 ng (Expand Search), 50 μ (Expand Search)
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Mean decrease in accuracy (MDA) of top 15 urine metabolites.
Published 2020“…Urine metabolites with a mean decrease in accuracy ≥ 0.004 in at least one post-treatment time point (2–5) were considered for inclusion in the predictive model.…”
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Klf5 expression is down-regulated in the ruptured human and experimental AAA.
Published 2020Subjects: -
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The participant demographic (n = 1844).
Published 2023“…</p><p>Results</p><p>The prevalence of smoking was 33.3%, 46.1%, and 21.1% for cigarettes (Cg), waterpipe (Wp), and E-cigarettes (ECg), respectively. Among the smokers, 38.5–45.8% reported a “no-change,” while 32.1–41.7% reported a “decrease” in SH during confinement. …”
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Alternative bounded and monotonically decreasing functions do not accurately fit the bias in the naïve SI.
Published 2022“…<p>(A-D) Fitting the naïve SI (blue) of simulated data using different types of bounded and monotonically decreasing functions with three free parameters. …”
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Exposure to low CO<sub>2</sub> levels decreases ER cholesterol levels.
Published 2023“…<b>(F)</b> qPCR analysis for cholesterogenic genes from NIH3T3 cells exposed to cholesterol (50 μm) or 25-hydroxycholesterol (10 μm) under 5% or 1% CO<sub>2</sub> for 4 h (mean ± SE, <i>n</i> = 3 biological replicates per condition, ***<i>P</i> < 0.001, nonsignificant (ns), two-way ANOVA with Bonferroni’s multiple comparisons test). …”
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