The chaotic information environment during (poly)crises, marked by urgency and heightened emotions, complicates truth assessments and provides fertile ground for the proliferation of disinformation. While the role of emotions in shaping disinformation beliefs and sharing is widely acknowledged, there …

Multisystemic Therapy (MST) is a community-based, family intervention for young people with complex social, clinical and educational problems such as aggression, antisocial behaviour or substance misuse. Since the first efficacy trial (Henggeler et al., 1986) and subsequent implementation of MST, the …

Introduction: Depression is a common mental disorder with often persistent consequences. Even after adequate treatment, recovery may be far from optimal. To enhance outcomes, we aimed to identify and synthesize factors that depressed adults themselves perceived as facilitating or hindering recovery. …

In recent years, care for people with severe mental illnesses (SMI) has shifted from institutional to recovery-based treatment in which informal caregivers often have an important role. However, their increased involvement has elevated issues such as role strain or burden of care, which indicates that …

The Local Context Summary Memo (LCSM) supports the municipality of Arnhem in advancing its urban heat adaptation efforts. It is part of the Cool Cities project, an EU Interreg North Sea Region initiative involving seven case study cities that test innovative, transferable methods for understanding and …

Cool Cities Rotterdam Local Context Summary Memo The Local Context Summary Memo (LCSM) supports the municipality of Arnhem in advancing its urban heat adaptation efforts. It is part of the Cool Cities project, an EU Interreg North Sea Region initiative involving seven case study cities that test innovative, …

Cool Cities Middelburg Local Context Summary Memo The Local Context Summary Memo (LCSM) supports the municipality of Arnhem in advancing its urban heat adaptation efforts. It is part of the Cool Cities project, an EU Interreg North Sea Region initiative involving seven case study cities that test innovative, …

Industrial Cyber-Physical Systems (CPS) are sensitive infrastructure from both safety and economics perspectives, making their reliability critically important. Machine Learning (ML), specifically deep learning, is increasingly integrated in industrial CPS, but the inherent complexity of ML models results …

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 …

Background/Objectives: Adolescents and young adults (AYAs) with cancer often begin their careers later in life and are at risk of negative work-related outcomes. Research into and tailored support programs for AYAs diagnosed during higher education remain limited. An improved understanding of AYAs' experiences …