Recent years have shown a growing effort in the evaluation of DNA given activity level propositions. Yet, its implementation remains challenging for forensic scientists due to the complexity of assessing relevant DNA TPPR mechanisms. One particular challenge is the sparsity of relevant experimental data …

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 …

Abstract – 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 …

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 …

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 …

BACKGROUND: Following a severe burn injury, individuals embark on a lifelong process of managing and integrating the physical, psychological, and social consequences, including functional limitations, fatigue, altered body image, and psychological trauma. To aid in this process, healthcare professionals …

Ethical tools are frequently proposed as a means to promote the design and implementation of responsible Artificial Intelligence (AI). Yet many organizations designing and deploying AI make only limited use of ethical tools. This study explores the application of ethical tools for responsible AI in the …

AI-driven lifestyle monitoring systems collect data from ambient, motion, contact, light, and physiological sensors placed in the home, enabling AI algorithms to identify daily routines and detect deviations to support older adults "aging in place." Despite its potential to support several challenges …

BACKGROUND: Advanced interventions to enhance the mental health literacy (MHL) of educational professionals are now available, though their effectiveness varies, likely due to contextual differences. To adapt these interventions for use in other countries, a systematic and tailored approach is required …

Children from lower socioeconomic status (SES) households often face reduced educational opportunities compared to their more privileged peers. This study examined whether interactive homework assignments could help mitigate educational inequality by fostering non-instructive, positive parental involvement …