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. …

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 …

Self-Determination Theory (SDT) has been widely applied in sports coaching research, encompassing both basic psychological need (BPN)–supportive (bright side) and BPN–thwarting (dark side) coaching behaviours. This paper focuses on the bright side by systematically reviewing and meta-analysing SDT-based …

Blockchain is a disruptive and rapidly evolving technology with diverse applications, yet its integration into non-technical curricula remains limited and under-studied. This study develops a teaching framework tailored for Business, Management and Economics (BME) programmes, addressing key pedagogical …

Digital forensic scientists primarily rely on individual internal reasoning and categorical conclusions when evaluating evidence in casework. This can make it difficult to maintain structured reasoning that is logically sound, balanced, robust, and transparent. Trojan horse defense cases exemplify these …

Within Human Activity Recognition (HAR), there is an insurmountable gap between the range of activities performed in life and those that can be captured in an annotated sensor dataset used in training. Failure to properly handle unseen activities seriously undermines any HAR classifier's reliability. …

This research is based on the problem that for the Dutch higher education there is a lack of comprehensive framework that address the unique challenges faced by these institutions in becoming in control of the cyber risks and increasing the cybersecurity maturity. This problem is addressed by answering …

Privacy concerns can potentially make camera-based object classification unsuitable for robot navigation. To address this problem, we propose a novel object classification system using only a 2D-LiDAR sensor on mobile robots. The proposed system enables semantic understanding of the environment by applying …

The widespread adoption of generative agents (GAs) is reshaping the healthcare landscape. Nonetheless, broad utilization is impeded by restricted access to high-quality, interoperable clinical documentation from electronic health records (EHRs) due to persistent legal, ethical, and technical barriers. …

In this paper we analyse “interconnected communication sequences” between Professional Foster Parents (PFPs) and Birth Parents (BPs) in family-style group care. Interconnected communication sequences are coherent sequences constructed by participants by use of multiple communication media. In family-style …