Search alternatives:
mean decrease » a decrease (Expand Search)
ns decrease » nn decrease (Expand Search), _ decrease (Expand Search), a decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
nm decrease » nn decrease (Expand Search), _ decrease (Expand Search), a decrease (Expand Search)
mean decrease » a decrease (Expand Search)
ns decrease » nn decrease (Expand Search), _ decrease (Expand Search), a decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
nm decrease » nn decrease (Expand Search), _ decrease (Expand Search), a decrease (Expand Search)
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Estimated mean values for light interception.
Published 2024“…However, with increasing PD, the proportion of higher-concentrated inflorescence fractions from upper canopy layers increased from 46% to 68%, while an extension of DVP shifted this proportion only marginally from 45% to 50%. In the context of standardized production, we therefore advocate high-density production systems that increase the proportion of desired inflorescence fractions from upper canopy layers.…”
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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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Mean squared error of estimates decreases with larger datasets.
Published 2022“…<p>The mean squared error in the estimates of under the posterior distribution decreases as the size of the dataset increases. …”
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Average mean decrease Gini across 100 partitions for the top 10 most important variables for binary mixed model and random forest.
Published 2025“…<p>Average mean decrease Gini across 100 partitions for the top 10 most important variables for binary mixed model and random forest.…”
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