Search alternatives:
significant larger » significantly larger (Expand Search), significant barrier (Expand Search), significantly longer (Expand Search)
larger decrease » marked decrease (Expand Search)
changes based » change based (Expand Search), cases based (Expand Search), classes based (Expand Search)
significant larger » significantly larger (Expand Search), significant barrier (Expand Search), significantly longer (Expand Search)
larger decrease » marked decrease (Expand Search)
changes based » change based (Expand Search), cases based (Expand Search), classes based (Expand Search)
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Significance analysis results.
Published 2025“…By incorporating the dynamics of user behavioral changes and the logic of platform scaling driven by investment, two representative cybersecurity datasets are selected for analysis: the Canadian Institute for Cybersecurity Intrusion Detection System 2017 and the Network-Based Intrusion Detection Evaluation Dataset 2015. …”
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Top 10 significantly changed metabolites and lipids in each clinical outcome measure group.
Published 2023“…(A) MMS status, yes vs. no (B) change in (Δ) QMG (> 40% vs. < 0%) (C) change in (Δ) MG-ADL (> 40% vs. < 0%), (D) Responder versus Non-Responder. …”
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Top 20 Significant correlation between pairs of metabolites and blood parameters (Significance was determined by P-value < 0.001) in different patient groups.
Published 2024Subjects: “…diagnostic prospective based…”
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Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice.
Published 2024“…The spatial information in dCA1 was significantly larger than circularly shuffled spike trains with similar mean firing rates for C57BL/6 mice (mean ± std: empirical = 0.132 ± 0.048, shuffled = 0.124 ± 0.035, p < 0.001, two-sided Wilcoxon rank-sum test, n<sub>empirical</sub> = 305 units from 5 recording sessions, n<sub>shuffled</sub> = 30500 simulated units from 5 recording sessions), but not for APP/PS1 mice (mean ± std: empirical = 0.128 ± 0.051, shuffled = 0.123 ± .047, p = 0.39, two-sided Wilcoxon rank-sum test, n<sub>empirical</sub> = 180 units from 4 recording sessions, n<sub>shuffled</sub> = 18000 simulated units from 4 recording sessions). …”
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Developmental shape changes in facial morphology: Geometric morphometric analyses based on a prospective, population-based, Chinese cohort in Hong Kong
Published 2019“…<div><p>Background</p><p>Thorough understanding of developmental changes of human facial shape is lacking. The present study aimed to evaluate developmental shape changes of facial morphology based on a prospective, population-representative, Chinese cohort in Hong Kong.…”
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