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largest decrease » marked decrease (Expand Search)
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larger decrease » marked decrease (Expand Search)
largest decrease » marked decrease (Expand Search)
values decrease » values increased (Expand Search)
larger decrease » marked decrease (Expand Search)
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PBP1 depletion results in a population of cells with decreased RADA fluorescence.
Published 2025“…Note that the P<sub>tet</sub>-<i>gusA</i> data from panel A (blue squares) was duplicated in panel B for comparison. >1300 cells were quantified across three independent experiments, and symbols represent the mean and standard error of the mean from three replicates.…”
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Study-related adverse events.
Published 2025“…In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …”
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Study flow chart.
Published 2025“…In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …”
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Study CONSORT diagram.
Published 2025“…In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …”
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Effects of GJE extract treatment decreased expression of NF-kB p65.
Published 2025“…Data are expressed as mean ± SD, error bars indicate standard deviation, n = 6/group. a: when compared to the control group. b: when compared to the NF group, <i><i>p</i></i> < 0.05 for both a and b.…”
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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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