Search alternatives:
linear decrease » linear increase (Expand Search)
large decrease » larger decrease (Expand Search), marked decrease (Expand Search), large increases (Expand Search)
means decrease » mean decrease (Expand Search), deaths decreased (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
a large » _ large (Expand Search)
k means » _ means (Expand Search)
linear decrease » linear increase (Expand Search)
large decrease » larger decrease (Expand Search), marked decrease (Expand Search), large increases (Expand Search)
means decrease » mean decrease (Expand Search), deaths decreased (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
a large » _ large (Expand Search)
k means » _ means (Expand Search)
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K-means++ clustering algorithm.
Published 2025“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
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<b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>"
Published 2025“…<p dir="ltr">The CSV file 'Eyreetal_DrainingVein_SourceData' contains the averaged time series traces and extracted metrics from individual experiments used across Figures 1-5 in the manuscript "Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins". The following acronyms included in the CSV file are defined as follows: Hbt is total hemoglobin, Art is artery region, DV is draining vein region, WV is whisker vein region, SEM is standard error mean, TS is time series, max peak is maximum peak, min peak is minima, AUC is area under the curve, WT is wild-type, AD is Alzheimer's disease, ATH is atherosclerosis and MIX is mixed AD/atherosclerosis. …”
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K-means results.
Published 2025“…<div><p>This study aims to investigate the dynamics of basketball game pace and its influence on game outcomes through a novel intra-game segmentation approach. By employing K-means clustering on possession duration, we categorized possessions from 1,141 NBA games in the 2019–2020 season into high-frequency (HFS), low-frequency (LFS), and normal-frequency segments (NFS). …”
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Association between the sum of health behaviors and decrease in physical health from before to during the pandemic. Results are from linear model analysis adjusted for age, gender and additional covariates....
Published 2025“…Results are from linear model analysis adjusted for age, gender and additional covariates. …”
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Increase in physical activity (100 step, 500 steps or 1000 steps) after the challenge according to decrease in screen time < or ≥60 minutes.
Published 2024“…<p>Increase in physical activity (100 step, 500 steps or 1000 steps) after the challenge according to decrease in screen time < or ≥60 minutes.…”
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