Objective: This research aimed to evaluate the effect of knowledge, attitude, and practice model-based health education on patients with cerebrovascular stenosis and coronary heart disease who ...

Load forecasting is a critical aspect for power systems planning, operation and control. In this paper, as part of research efforts of an ambitious project at Memorial University of Newfoundland in St ...

Planned sample size is 452 patients. Participants were randomised to ... type of surgery and age were included as covariates in a logistic regression model. These covariates were selected due to the ...

The effect size (ES) of overall treatment effect and the PCE were pooled using random-effects model. Subgroup analyses and meta-regression were conducted to examine determinants of the PCE.

The key assumption in regression discontinuity analysis is that the distribution of potential outcomes varies smoothly with the running variable around the cutoff. In many empirical contexts, however, ...

Molecular dynamics simulations were performed for the prediction of the finite-size effects of Maxwell-Stefan diffusion coefficients of molecular mixtures and a wide variety of binary Lennard–Jones ...

A first heterogeneity quantification approach based on ARMA-GARCH models is proposed to address this problem in the development of federated solar power forecasting systems and other federated ...

Effects of deformation texture and grain size on mechanical properties and corrosion behavior of the Mg–3Al–1Zn (AZ31) alloys were systematically investigated. The results revealed that the ultimate ...

ABSTRACT This study was carried out for two purposes: comparing performances of Regression Tree and Automatic Linear Modeling and determining optimum sample size for these methods under different ...

I would expect that the size of all tensors of the fine-tuned model (ACT or SmolVLA) match the size of the model that is loaded for evaluation. Why is the saved model having shape 32 and the loaded ...