Search alternatives:
greatest decrease » treatment decreased (Expand Search), greater increase (Expand Search)
gap decrease » gain decreased (Expand Search), mean decrease (Expand Search), step decrease (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
greatest decrease » treatment decreased (Expand Search), greater increase (Expand Search)
gap decrease » gain decreased (Expand Search), mean decrease (Expand Search), step decrease (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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Enrichment analysis of genes from the significant MS module.
Published 2025“…<p><b>(a)</b> Venn diagram showing the intersection of DEGs and significant module genes from WGCNA, resulting in 46 key intersection genes. …”
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383
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384
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Seven forecast scenarios.
Published 2025“…We find that a decrease in expenditures has a larger effect on decreasing energy consumption than an increase in expenditures does on increasing consumption. …”
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387
Forecast for each scenario, 2023-2032.
Published 2025“…We find that a decrease in expenditures has a larger effect on decreasing energy consumption than an increase in expenditures does on increasing consumption. …”
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388
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389
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390
Linear covariate analysis of prognostically significant metabolites. Presenting the effect sizes of metabolites that showed significant differences among prognostic groups in ICU-treated COVID-19 patients. Metabolites were included based on an F-value > 2.5 and a p-value < 0.05. Metabolites marked with a single asterisk (*) were significant in both two-way ANOVA and ASCA, whereas those marked with double asterisks (**) were significant only in two-way ANOVA....
Published 2025“…Metabolites were included based on an F-value > 2.5 and a p-value < 0.05. Metabolites marked with a single asterisk (*) were significant in both two-way ANOVA and ASCA, whereas those marked with double asterisks (**) were significant only in two-way ANOVA. …”
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391
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392
HDECO: A method for Decreasing energy and cost by using virtual machine migration by considering hybrid parameters
Published 2025“…<h2>Summary</h2><p dir="ltr">This research introduces <b>HDECO</b> (Hybrid Decreasing Energy and Cost Optimization) — a method designed to reduce both energy consumption and execution cost in cloud datacenters through intelligent virtual machine migration. …”
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393
Sociodemographic characteristics.
Published 2024“…Increased circadian preference for eveningness and social jet lag were noted. A significant decrease in sleep duration and sleep efficiency, along with an increased prevalence of insomnia and daytime sleepiness, was noted with age- and sex-specific variations.…”
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394
Study flow chart.
Published 2024“…Increased circadian preference for eveningness and social jet lag were noted. A significant decrease in sleep duration and sleep efficiency, along with an increased prevalence of insomnia and daytime sleepiness, was noted with age- and sex-specific variations.…”
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395
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Contact angle between solid and liquid.
Published 2025“…We measured the performance of these solutions and revealed that the AES + AEO-9 blend demonstrated a significant synergistic effect, markedly enhancing the capture efficiency of water for lignite dust.…”
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398
Diagram of the experimental equipment.
Published 2025“…We measured the performance of these solutions and revealed that the AES + AEO-9 blend demonstrated a significant synergistic effect, markedly enhancing the capture efficiency of water for lignite dust.…”
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399
Sedimentation experimental device.
Published 2025“…We measured the performance of these solutions and revealed that the AES + AEO-9 blend demonstrated a significant synergistic effect, markedly enhancing the capture efficiency of water for lignite dust.…”
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400
The wetting feature of compound solutions.
Published 2025“…We measured the performance of these solutions and revealed that the AES + AEO-9 blend demonstrated a significant synergistic effect, markedly enhancing the capture efficiency of water for lignite dust.…”