Student burnout is raising an increasing amount of concern. Burnout often leads to psychosocial problems and drop-out. In this study multiple regression analysis was used to examine the impact of performance pressure, loneliness, and sense of belonging on the underlying dimensions of burnout in 3,134 …

This study investigates factors predicting hospitality management students’ intention to enter employment in the hospitality industry upon graduation. Survey data were collected from 591 hospitality management students in a hotel management school in the Netherlands. Results of multiple regression analyses …

Study design Cross-sectional study. Objectives The aims of this study were (1) to validate the two recently developed SCI-specific REE equations; (2) to develop new prediction equations to predict REE in a general population with SCI. Setting University, the Netherlands. Methods Forty-eight community-dwelling …

Aim To identify predictors of late academic or early career dropout, and derive a simple model for identifying nursing students and novice nurses with significant increased dropout risk. Background Dropout from nursing school and the nursing profession is of great concern for students, educators, as …

Abstract Background: COVID-19 was first identified in December 2019 in the city of Wuhan, China. The virus quickly spread and was declared a pandemic on March 11, 2020. After infection, symptoms such as fever, a (dry) cough, nasal congestion, and fatigue can develop. In some cases, the virus causes severe …

While modern wind turbines have become by far the largest rotating machines on Earth with further upscaling planned for the future, a renewed interest in small wind turbines (SWTs) is fostering energy transition and smart grid development. Small machines have traditionally not received the same level …

Abstract BackgroundFrailty is a syndrome that is defined as an accumulation of deficits in physical, psychological, and social domains. On a global scale, there is an urgent need to create frailty-ready healthcare systems due to the healthcare burden that frailty confers on systems and the increased …

Background While low back pain occurs in nearly everybody and is the leading cause of disability worldwide, we lack instruments to accurately predict persistence of acute low back pain. We aimed to develop and internally validate a machine learning model predicting non-recovery in acute low back pain …

Since the start of the COVID-19 pandemic, organisations have drastically started to reformulate the functionalities of their offices. The trend hybrid working has caused office buildings to have considerable low occupancy rates, as employees rather perform certain tasks at home and do not feel like the …

New approach methodologies predicting human cardiotoxicity are of interest to support or even replace in vivo-based drug safety testing. The present study presents an in vitro–in silico approach to predict the effect of inter-individual and inter-ethnic kinetic variations in the cardiotoxicity of R- …