A systematic review of Long COVID identifies symptom clusters, highlighting fatigue and proposing a management framework for ...

Background The global surge in ultra-processed food (UPF) consumption is a major public health challenge, particularly among ...

A small group of young researchers at the Cosmic Dawn Center, Niels Bohr Institute, University of Copenhagen, have, through ...

Abstract: In the keypoint detection algorithm, the farthest point sampling methods and random sampling methods are usually used to select candidate points, then keypoints are screened out from the ...

This issue proposes adding cluster sampling capabilities to the scikit-sampling library. Cluster sampling is a probability sampling technique where the population is divided into naturally occurring ...

Objective: The objective of this study is to examine the impact of physical exercise on the prevalence of mobile phone dependency among middle school students, as well as to delineate the serial ...

Objective: This study aimed to examine the relationship between maltreatment and psychological well-being among preschool children and explore parent–child interaction’s moderating role on this ...

Abstract: In this paper a new hybrid swarm intelligence algorithm is proposed that blends traditional swarm intelligence (SI) framework with random sampling to have an improved search through large ...

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 ...