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largest decrease » larger decrease (Expand Search)
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k mean » k means (Expand Search), _ mean (Expand Search), a mean (Expand Search)
largest decrease » larger decrease (Expand Search)
values decrease » values increased (Expand Search)
marked decrease » marked increase (Expand Search)
k mean » k means (Expand Search), _ mean (Expand Search), a mean (Expand Search)
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Changes in the active H3K27ac and repressive H3K27me3 histone marks among Vasa2+/Piwi1+ and all cells in fed, starved, and refed juvenile polyps.
Published 2025“…Significance levels after one-way ANOVA with Tukey’s HSD for pairwise comparisons are indicated for adjusted <i>p</i> values: *<i>p < </i>0.05, **<i>p < </i>0.01; ****<i>p < </i>0.0001. d: day(s), n.s.: non-significant. …”
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ROS, K<sup>+</sup> efflux and cathepsin B are required for NLRP3 activation.
Published 2025Subjects: -
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Group-level narrow- and broad-band spectral changes after hemispherotomy reveal a marked EEG slowing of the isolated cortex, robust across patients.
Published 2025“…<b>(E)</b> Following surgery, the PSD became steeper in the disconnected cortex, as indexed by a significant pre- to post-decrease in Spectral Exponent toward more negative values, observed in all patients (i.e., all negative post-pre differences for the disconnected cortex). …”
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Prolonged starvation leads to a delay in cell cycle re-entry and decrease in H3K27ac in Vasa2+/Piwi1+ cells.
Published 2025“…Significance levels after one-way ANOVA with Tukey’s HSD for pairwise comparisons are indicated for adjusted <i>p</i> values: *<i>p < </i>0.05, **<i>p < </i>0.01; ****<i>p < </i>0.0001. d: day(s), n.s.: non-significant. …”
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related to Fig 4. ROS, K+ efflux and cathepsin B do not affect TNFα production in response to eggs.
Published 2025Subjects: -
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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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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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