Intercultural communication education (ICE) is often viewed as the transfer of stable knowledge, skills, and dispositions. Classroom interaction, as an important component of education, is, however, highly relational and deeply contextual. This paper proposes a novel perspective on ICE by integrating …

Due to growing power consumption and the energy transition, installation of high-voltage underground cables (HVUC) is becoming increasingly crucial for increasing transmission capacity while minimising societal and environmental disruption. This thesis, completed in a professional setting at Witteveen+Bos, …

Ammonia is a major nitrogenous constituent of municipal wastewater and poses environmental challenges when discharged to receiving waters. Conventional biological treatment processes can be limited by operational instability, sensitivity to loading conditions, and greenhouse gas emissions, motivating …

Traditional scientific research has produced valuable knowledge, yet its linear, top-down logic often fails to address the complexity of local communities. This results in a gap between knowledge and action, where interventions lack legitimacy and impact. Participatory Action Research (PAR) has emerged …

Background & aim Adequate protein intake is essential during recovery from illness to prevent complications such as malnutrition, sarcopenia, and delayed wound healing. Mobile applications may support self-monitoring and early detection of inadequate intake. This study evaluated the concurrent validity …

IMPORTANCE: Older patients hospitalized for cardiovascular disease (CVD) are at risk of physical function decline and adverse health outcomes. Cardiac rehabilitation (CR) improves physical functioning but is underutilized by older patients. Home-based CR potentially improves utilization, yet its effectiveness …

Efficient hydrogen (H2) storage remains a major challenge for clean energy applications. This study presents an AI-driven methodology to optimize H2 storage in porous carbon adsorbents. A comprehensive dataset of 917 literature-derived entries was used to develop two machine learning models: Random Forest …

The Developmental Model of Intercultural Sensitivity (DMIS) has been widely used to conceptualise changes in how individuals experience cultural difference, typically described as a progression from ethnocentric toward ethnorelative orientations. While the model’s value is considerable, its common interpretation …