Introduction: Despite the growing interest in complementary healthcare, limited data are available about professionals’ perceptions of collaboration with complementary healthcare providers in mental healthcare. This study aims to gain insight into the feasibility of collaboration between general practitioners …

Zhang Xuefeng (1984–2026) was a prominent Chinese education entrepreneur, lecturer, social-media influencer, and education consultant known for offering blunt, employment-oriented advice on university choice, major selection, and career planning. His public influence made visible a broader social problem: …

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, …

Though the problem of water risks is growing and becoming more evident, there is a lack of structured information about how these risks are managed through the certification process. While there are certain credits dedicated to managing water risks and implementing measures in regard to them in the …

The goal of this project is to investigate the feasibility and value of a modular tool system for the Roberine machine platform (seen in Figure 1). Currently, the Roberine is used as a mowing machine with a limited range of available tools. This may reduce its versatility compared to competing machines …

Background/Objectives: Digital technologies and data-driven approaches are rapidly transforming healthcare practice and enabling more personalized and preventive care. As personal health data becomes increasingly embedded in healthcare systems, understanding how future healthcare professionals interpret …

Radiotherapy departments face increasing pressure due to rising patient volumes, workforce shortages, and complex multidisciplinary workflows. Although Hospital Information Systems (HIS) capture time‑stamped workflow data, these data are rarely transformed into actionable insights that support continuous …

This demo introduces prompt design as a research approach to studying visual generative AI, distinguishing it from prompt engineering practices that focus on producing aesthetically pleasing or technically polished outputs. Drawing on the query design framework from digital methods, we outline several …

This thesis investigates the development of internal shear stresses in stiffened-core deep composite pile foundations, with particular focus on the FUNDEX Combi Pile system. These piles are widely used in urban environments due to their vibration-free installation and ability to perform under challenging …

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 …