This study examined the preliminary feasibility, acceptability, and efficacy of an autism-
adapted cognitive behavioral therapy for depression in autistic youth, CBT-DAY. Twenty-four …

Missing data are a common problem in most research fields and introduce an element of
ambiguity into data analysis. They can arise due to different reasons: mishandling of …

Background An unprecedented acceleration in digital mental health services happened
during the COVID-19 pandemic. However, people with severe mental ill health (SMI) might …

Abstract Machine learning algorithm has been increasingly used to fill missing daily
streamflow data from neighboring gauges in data-scarce regions. However, how human …

Data imputation and data generation have important applications for many domains, like
healthcare and finance, where incomplete or missing data can hinder accurate analysis and …

Introduction The primary objective of this study was to identify variables that significantly
influence the implementation of math Response to Intervention (RTI) at the school level …

Alexithymia (difficulties identifying and describing feelings) predicts increased risks for
psychopathology, especially during the transition from childhood to adolescence. However …

Despite years of debate, the factors that control the long-term carrying capacity of human
populations are not well understood. In this paper, we assess the effect of changes in …

Species functional traits can influence pathogen transmission processes, and consequently
affect species' host status, pathogen diversity, and community‐level infection risk. We here …

Background Antibiotics are increasingly becoming ineffective as antimicrobial resistance
(AMR) continues to develop and spread globally—leading to more difficult to treat infections …