Wijsgerig pedagoog Piet van der Ploeg waarschuwt voor de instrumentele benadering van kunstonderwijs wanneer de kunstvakken worden ingezet om burgerschapsdoelen na te streven.

Background: Shared decision-making plays an important role in ensuring value-based healthcare in cardiac surgery. However, the personal situations of patients in cardiac care have not been widely explored, and thus, little is known about the decision-making experiences of patients and their relatives …

Echo intensity determined by muscle ultrasound has been proposed as an efficient method for the assessment of muscle quality. The influence of changing ultrasound parameter settings on echo intensity values was assessed using a standardized approach. In this repeated measures cross-sectional study, sixteen …

This chapter discusses the artistic project Future Wake (2021) by Ahnjili Zhuparris and Tim van Ommeren that examines predictive policing. By shifting the focus from possible future crime offenders to possible future victims of fatal police encounters, using visual and affective means rather than expert …

OBJECTIVES: The development of children's motor competence (MC) from early to middle childhood can follow different courses. The purpose of this longitudinal study was to describe and quantify the prevalence of patterns of MC development from early to middle childhood and to identify undesirable patterns. …

Physical activity is crucial in human life, whether in everyday activities or elite sports. It is important to maintain or improve physical performance, which depends on various factors such as the amount of physical activity, the capability, and the capacity of the individual. In daily life, it is significant …

(1) Background: Chemoradiotherapy (CRT) for head and neck cancer (HNC) is associated with severe toxicity resulting in fatigue and weight loss, including loss of skeletal muscle mass. Exercise interventions might positively affect physical fitness and quality of life. Sufficient adherence and compliance …

Accurate localization in autonomous robots enables effective decision-making within their operating environment. Various methods have been developed to address this challenge, encompassing traditional techniques, fiducial marker utilization, and machine learning approaches. This work proposes a deep-learning …