Results 221 to 230 of about 2,542,650 (299)

The Effect of Yogurt Consumption on Body Fat Percentage in School-Age Children: A Quantile Regression Analysis. [PDF]

open access: yesNutrients
Gao T   +12 more
europepmc   +1 more source

Smart Industry and Ecological Sustainability: Industry 4.0 Technologies, Renewables, and the US Production Ecological Footprint

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT The United States ranks 5th globally in terms of the per capita ecological footprint (ECF) and 2nd in terms of the total ECF and is responsible for intensive energy consumption, resource exploitation, and carbon‐intensive industrial production.
Sheikh Fuzael Rahman   +3 more
wiley   +1 more source

Influence of Geopolitical Risk on Energy Transition and Climate Change

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Geopolitical tensions can influence energy transition, which, in turn, can impact climate change. Thus, we construct a framework that integrates these processes, analyzing 17 economies from 1990 to 2020 using a GVAR model. We hypothesize that geopolitical risk shocks affect economies through domestic financial markets.
Luccas Assis Attílio
wiley   +1 more source

Unprotected Left Main Disease: Clinical Outcomes Following Deferral, Coronary Artery Bypass Grafting, or Percutaneous Coronary Intervention

open access: yesCatheterization and Cardiovascular Interventions, EarlyView.
ABSTRACT Background The prognostic benefit of revascularization for unprotected left main (LM) disease remains uncertain, as guideline endorsement of percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG) precludes comparison with deferral, which is unlikely to be assessed in a randomized trial.
Marc Meller Bröchner   +10 more
wiley   +1 more source

Baseline Body Mass Index Category and Incident Treated Hypertension in Australian Men: A Linked Prospective Cohort Study Using PBS/MBS Data

open access: yesChronic Diseases and Translational Medicine, EarlyView.
Kaplan–Meier hypertension‐free survival by baseline body mass index category, primary adult cohort (men aged ≥ 18 years, n = 12,742). Time since baseline in years is plotted on the horizontal axis and the probability of remaining free of treated hypertension is plotted on the vertical axis. Numbers at risk are shown beneath the plot.
Ebenezer Afrifa‐Yamoah
wiley   +1 more source

Prefrontal Planning Latency Associated With Age and Serological Evidence of Microbial Exposure

open access: yesChronic Diseases and Translational Medicine, EarlyView.
Planning latency versus age by group. Scatterplot showing individual observations (n = 53) stratified by fibromyalgia status. LOESS smoothing curves with 95% confidence intervals (shaded regions) illustrate the relationship within each group. Overall, rₛ = 0.394 (p = 0.003).
Basant K. Puri   +4 more
wiley   +1 more source

Dynamic survival risk prediction with time‐varying high‐dimensional images

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Integrating longitudinal data with survival models is a prevalent strategy for dynamic survival risk prediction while accounting for subjects' longitudinally observed variables. However, existing methods primarily focus on scalar longitudinal data and seldom tackle the complexities associated with high‐dimensional longitudinal imaging data ...
Bingfan Liu   +7 more
wiley   +1 more source

Copula‐based joint modelling of emergency department visits with time‐varying dependence

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley   +1 more source

Vine copula knockoffs for variable selection in gene expression studies

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Identifying clinical and genetic markers is essential for stratifying cancer patients by survival outcomes and guiding personalized treatment strategies. However, gene expression studies often involve high‐dimensional predictors with mixed data types and complex dependence, which complicates reliable variable selection.
José Ulises Márquez Urbina   +3 more
wiley   +1 more source

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