In a portable classroom on the Santa Clara Adult Education campus, Abraham Leza prepares to teach his weekly class just after the Friday lunch hour. He pulls on a black T-shirt embossed with a drawing ...

Objective: Based on the Bayesian network, this study investigates the impact pathways of multidimensional factors related to the living environment—specifically housing factors, exposure to daily ...

Cross-sectional network analysis was employed to explore the complex relationships between depression, anxiety, insomnia, somatic symptoms, childhood trauma, self-esteem, social support, and emotional ...

The central bank’s cautious approach to defending itself against President Trump is drawing scrutiny as the institution’s independence comes under threat. To its critics, the Federal Reserve is partly ...

Enhancing Readability of Lay Abstracts and Summaries for Urologic Oncology Literature Using Generative Artificial Intelligence: BRIDGE-AI 6 Randomized Controlled Trial Patients with NSCLC completed ...

Synthetic dataset outputs for public analysis without privacy risk. Part of my current workflow as survey leader of the Data Engineering Pilipinas group. Comparable distributions per column: based on ...

Reproducible R code for the master's thesis "Toward causality in mobile sensing for depression," using sparse functional data analysis (FDA) and conditional independence testing on the StudentLife ...

Introduction: This study examines the interdependencies among different chronic pain locations and their relationships with age and gender, critical for effective clinical strategies. Methods: A ...

INDEPENDENCE (KWWL) -- Independence scored twice in the second half as the sixth-ranked Mustang girls' topped No. 3 Davenport Assumption 2-0 on Friday night. The two teams went scoreless through the ...

Department of Mathematics, Qinghai Minzu University, Xining, China. Graph packing problem is one of the central problems in graph theory and combinatorial optimization. The Steiner tree packing ...

ABSTRACT: Current high-dimensional feature screening methods still face significant challenges in handling mixed linear and nonlinear relationships, controlling redundant information, and improving ...