Introduction: Early Warning Score (EWS) protocols are based on intermittent vital sign measurements, and aim to detect clinical deterioration in a timely manner. Despite its predictive value, its effectiveness remains suboptimal. An important limitation appears to be poor compliance with the EWS protocol …

Given the urgency of global energy transition, small- and medium-sized cities often undergo rapid changes. What is often missing, however, is a better understanding of how residents of those places perceive, and relate to the various aspects of local energy transition process and spatial outcomes. This …

A core principle of privacy protection is to minimize the amount of personal data in data sets to the level needed for the intended usage. The rapid growth of data and data-driven applications demands for using efficient software tools to minimize personal data to the needed level. However, applying …

Urban densification is a key strategy to accommodate rapid urban population growth, but emerging evidence suggests serious risks of urban densification for individuals’ mental health. To better understand the complex pathways from urban densification to mental health, we integrated interdisciplinary …

Both consumer and industrial electronics have become increasingly complex and advanced in recent years. High performance semiconductor devices are essential to the function of these electronics, which is why rapid growth of the microelectronics industry and major technological advancements in this field …

Om het burgerschapsonderwijs op het Veluws college Twello te versterken, wordt het geïntegreerd met de nieuwe Sport, Cultuur en Wetenschap leerroute. Hierdoor zullen de docenten te maken krijgen met gevoelige onderwerpen in de modules. Het creëren van een veilig klassenklimaat is hierbij belangrijk, …

The rapid growth of FinTech (financial technology) companies has brought significant transformation in the global financial landscape (Electronic Transactions Association (ETA), 2021). This disruption is intensifying after the COVID-19 pandemic (International Monetary Fund (IMF), 2022). The decentralized …

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 …

The healthcare sector has been confronted with rapidly rising health care costs and a shortage of medical staff. At the same time, the field of Artificial Intelligence (AI) has emerged as a promising area of research, offering poten tial benefits for healthcare. Despite the potential of AI to support …

Introduction: From the patient and staff perspective, care delivery for patients experiencing a mental health problem in ambulance and emergency department (ED) settings is challenging. There is no uniform and internationally accepted concept to reflect people with a mental health problem who require …