Search alternatives:
significant problem » significant progress (Expand Search), significant variables (Expand Search)
problem decreased » problems decreased (Expand Search)
sex decrease » step decrease (Expand Search), sizes decrease (Expand Search), mean decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
significant problem » significant progress (Expand Search), significant variables (Expand Search)
problem decreased » problems decreased (Expand Search)
sex decrease » step decrease (Expand Search), sizes decrease (Expand Search), mean decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
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PRISMA checklist.
Published 2023“…</p><p>Conclusions/Significance</p><p>Our findings demonstrate a significant decrease of <i>S</i>. …”
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PRISMA flow diagram.
Published 2023“…</p><p>Conclusions/Significance</p><p>Our findings demonstrate a significant decrease of <i>S</i>. …”
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Main characteristics of included papers.
Published 2023“…</p><p>Conclusions/Significance</p><p>Our findings demonstrate a significant decrease of <i>S</i>. …”
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Main feature classes used to train the OCS algorithm for task-scheduling problems.
Published 2022Subjects: -
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Association between FF Proximity and BMI by sex.
Published 2025“…The overall association between FF proximity and BMI was not significant but modified by sex (p-<sub>heterogeneity</sub> <0.001). …”
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Data_Sheet_1_Age-Related Decrease in Default-Mode Network Functional Connectivity Is Accelerated in Patients With Major Depressive Disorder.docx
Published 2022“…Age-related effects on FC/dFC were estimated by linear regression models with age, diagnosis, and diagnosis-by-age interaction as variables of interest, controlling for sex, education, site, and head motion effects. The regression models revealed (1) a significant main effect of age in the predictions of both FC strength and dFC variability; and (2) a significant main effect of diagnosis and a significant diagnosis-by-age interaction in the prediction of FC strength, which was driven by stronger negative correlation between age and FC strength in MDD patients. …”
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