MODELING STRUCTURAL EQUATIONS FOR PREDICTING DEATH ANXIETY ASSOCIATED WITH COVID-19 BASED ON MEDIATING ROLES OF EMOTION REGULATION AND MEANING IN LIFE

Background and purpose: Life and death became significant issues with the outbreak of the COVID-19 and its aftermath.Previous studies have shown that having meaning in life and the ability to regulate emotion can play effective roles in coping with death anxiety.The present study investigated the relationship between COVID-19 anxiety and death anxi

This research was motivated by lack of civics student learning outcomes.Low student learning outcomes is caused by: (a) the teaching methods teachers are passive and monotonous; and (b) the students were cool to mess around when lessons.This study aims to improve student learning outcomes.This research is a class act, performed in SD Negeri 012 Sil

This paper proposes a novel data classification framework, combining sparse auto-encoders (SAEs) and a post-processing system consisting of a linear system model relying on Particle Swarm Optimization (PSO) algorithm.All the sensitive and high-level features are extracted by using the first auto-encoder which is wired to the second auto-encoder, fo

Summary: In clinical trials, oral supplementation with nicotinamide riboside (NR) fails to increase muscle mitochondrial respiratory capacity and insulin sensitivity but also does not increase muscle NAD+ levels.This study tests the feasibility of chronically elevating skeletal muscle NAD+ in mice and investigates the putative effects on mitochondr