Search alternatives:
significant estimates » significant time (Expand Search), significant rates (Expand Search)
estimates decrease » estimates decreased (Expand Search), estimated decrease (Expand Search), estimated release (Expand Search)
linear decrease » linear increase (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
significant estimates » significant time (Expand Search), significant rates (Expand Search)
estimates decrease » estimates decreased (Expand Search), estimated decrease (Expand Search), estimated release (Expand Search)
linear decrease » linear increase (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
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Results of significance for regression factors.
Published 2024“…BET and SEM analyses demonstrated that the specific surface area and porosity (most probable pore size) gradually decreased over time. At various ages, mesopores (cumulative pore diameter, median pore diameter) initially increased and then decreased. …”
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Univariate analyses.
Published 2025“…Independent variables in the analyses were: 1) age, 2) sex, 3) geographic region, 4) urban or rural residence, and 5) ED visit before or during COVID-19. Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. …”
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Overview of individuals in the study.
Published 2025“…Independent variables in the analyses were: 1) age, 2) sex, 3) geographic region, 4) urban or rural residence, and 5) ED visit before or during COVID-19. Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. …”
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Multivariate analyses.
Published 2025“…Independent variables in the analyses were: 1) age, 2) sex, 3) geographic region, 4) urban or rural residence, and 5) ED visit before or during COVID-19. Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. …”
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Recruitment flow diagram of the current study.
Published 2025“…Predictors of HRQoL included sociodemographic, psychological, medical, and trauma-related factors collected at baseline. We applied generalized additive mixed models to flexibly capture nonlinear changes in HRQoL over time, and piecewise latent growth curve model to analyze distinct linear phases of recovery across defined time intervals.…”
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Seven forecast scenarios.
Published 2025“…We find that a decrease in expenditures has a larger effect on decreasing energy consumption than an increase in expenditures does on increasing consumption. …”
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Forecast for each scenario, 2023-2032.
Published 2025“…We find that a decrease in expenditures has a larger effect on decreasing energy consumption than an increase in expenditures does on increasing consumption. …”