Search alternatives:
largest decrease » largest decreases (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
latent decrease » latency decreased (Expand Search), content decreased (Expand Search), greatest decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
a linear » _ linear (Expand Search)
largest decrease » largest decreases (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
latent decrease » latency decreased (Expand Search), content decreased (Expand Search), greatest decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
a linear » _ linear (Expand Search)
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Unconditional latent curve model for fathers.
Published 2023“…Results of univariate latent growth models showed a cubic trend of mothers’ PSE, which revealed a decreasing pattern characterized initially by a slight decline, followed by a rebound before continuously decreasing. …”
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Unconditional latent curve model for mothers.
Published 2023“…Results of univariate latent growth models showed a cubic trend of mothers’ PSE, which revealed a decreasing pattern characterized initially by a slight decline, followed by a rebound before continuously decreasing. …”
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Conditional latent growth curve models (CLGCMs).
Published 2023“…Results of univariate latent growth models showed a cubic trend of mothers’ PSE, which revealed a decreasing pattern characterized initially by a slight decline, followed by a rebound before continuously decreasing. …”
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Long COVID prevalence decreases with vaccine uptake in the U.S.
Published 2023“…<p>(A) Prevalence in U.S. states and the U.S. exhibits a decreasing trend with respect to vaccine uptake, both in the population vaccinated with at least one dose (top) and two doses (bottom), with the largest gap between 100% vaccinated and 100% unvaccinated scenarios observed in the reference population of adults who had COVID-19. …”
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A Locally Linear Dynamic Strategy for Manifold Learning.
Published 2025“…For 10-30% noise, where the Hebbian network employs a local linear transform, learning selectively increases signal direction alignment (blue) while simultaneously decreasing noise direction alignment (orange). …”