Objectives To explore the mental health literacy of school communities and stigma against students with mental disorders in Ethiopia’s specific context. Design Qualitative study using in-depth and key ...

Adaptive cluster sampling is a probabilistic design tailored to populations that exhibit rare or spatially clustered features, such as endangered species, epidemic cases or hidden cultural artefacts.

Fears about a possible cancer cluster near the site of a toxic dump in a Monmouth County waterfront town have prodded public officials to call for action. They’ve also pushed the state Department of ...

Introduction There is a high prevalence of mental health problems among university students. Better prediction and treatment access for this population is needed. In recent years, short-term dynamic ...

An MD trajectory must be loaded into VMD with resname assignments for all atoms of interest. This can be done either by pre-loading a structure file with this information (e.g. .bgf file), or by ...

The people overseeing the security of Google’s Chrome browser explicitly forbid third-party extension developers from trying to manipulate how the browser extensions they submit are presented in the ...

Abstract: Deep metric learning has gained significant attention recently due to its promising performance in image retrieval, face recognition, and clustering tasks. Deep metric learning algorithms ...

aSchool of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, SE1 9RT, UK Work completed while at School of Cancer and Pharmaceutical Sciences, ...

There has been growing attention to multi-class classification problems, particularly those challenges of imbalanced class distributions. To address these challenges, various strategies, including ...

Cluster sampling divides a population into smaller clusters, simplifying large-scale research. Cluster sampling is a probability sampling method where researchers divide a population into smaller ...

This paper introduces the principle of PPS-based adaptive cluster sampling method and its modified HH estimator and HT estimator calculation method. It compares PPS-based adaptive cluster sampling ...