This white paper introduces the foundations of industrial automation and explains why it matters in modern production environments. It clarifies what industrial automation is and what industry cares about, such as reliability, safety, productivity and maintainability. It also explains how automation …

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 …

Early identification of the palliative phase in patients with COPD and heart failure remains difficult, often delaying needed care. Since most patients are cared for at home, timely recognition in primary care is crucial. However, screening tools are rarely used, and identification relies on professional …

Indoor service robots need perception that is robust, more privacy-friendly than RGB video, and feasible on embedded hardware. We present a camera-free 2D LiDAR object detection pipeline that encodes short-term temporal context by stacking three consecutive scans as RGB channels, yielding a compact YOLOv8n …

Background/Objectives: Urine drug testing (UDT) is a core component of nursing interventions within the treatment of substance use disorder (SUD). Beyond the detection of psychoactive substance use and medication adherence, UDT also provides opportunities for therapeutic dialogue, patient support, and …

Achtergrond Het integreren van zorg voor (risico op) ondervoeding en sarcopenie in de eerstelijnszorg is uitdagend, omdat de beperkte fysieke nabijheid van zorgprofessionals de samenwerking bemoeilijkt. Beide aandoeningen komen veel voor bij thuiswonende ouderen en gaan gepaard met aanzienlijke achteruitgang …

The demand for assistive technology is expected to rise alongside the increasing care needs of aging populations. Ambient intelligence, particularly context awareness, offers potential benefits in addressing challenges faced by the healthcare system. In dementia care, context awareness can facilitate …

Reinforcement learning offers a promising approach for personalized, early-stage detection of behavioral events such as agitation in individuals with dementia, particularly when contextual insights from care staff are integrated. Given the scarcity and the ethical constraints of real-world agitation …

This paper addresses the challenge faced by call center operators supporting family members of individuals with Substance Use Disorders (SUDs), particularly the difficulty of detecting emotional distress in callers during high-pressure interactions. We developed a lightweight, real-time Speech Emotion …

The illegal production of synthetic drugs in clandestine laboratories is an emerging threat within the European Union, necessitating improved methods for law enforcement agencies to locate these illegal sites. Combining gas chromatography and ion mobility spectrometry is a promising technology for reliably …