People living with dementia are common in hospitals and often experience poorer outcomes, yet dementia-friendly hospital care (DFHC) is not consistently embedded in routine practice. A theory-informed synthesis of healthcare professionals’ reported barriers and facilitators is needed to guide implementation.To …

Associations between household dysfunction in childhood and school-to-work trajectories throughout young adulthood were examined along with the mediating role of adolescent mental health problems. Data from 1134 participants in the Dutch prospective cohort TRacking Adolescents’ Individual Lives Survey …

This paper presents a conceptual model for creating digital educational games that aim to reduce mathematics anxiety (MA) and promote positive emotional engagement in mathematics education. No empirical data were collected or analyzed; the proposed model is based on a synthesis of theory and empirical …

In this study, eye-tracking and deep learning are employed to classify pilot experience during a twin-engine Piper Seneca flight simulator based on the potential to enhance aviation training and safety through the integration of human cognitive behaviors with artificial intelligence to optimize inter-cognitive …

Aviation safety relies greatly on understanding human factors and pilot behaviour. This study uses innovative eye-tracking biometrics and predictive analytics to enhance aviation landing performance in a twin-engine Piper Seneca simulation. With a Tobii Glass 3 eye tracker, gaze patterns from two pilots …

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Sewer pipe defects pose a serious challenge for municipalities, as delayed detection leads to costly repairs and service disruptions. Timely inspection is therefore essential, yet current practice relies on manual video review, which is labor-intensive and subjective. Computer vision offers automation, …

Food loss and waste (FLW) remains a critical global challenge, particularly in the food and beverage (F&B) sector, where small and medium-sized enterprises (SMEs) operate under tight margins and fragmented supply chains. This study investigates how F&B SMEs in the Netherlands address sustainability (including …

This research explored whether machine learning models could predict shifts in participants’ preferences and attitudes towards energy solutions based on behavioural and self-reported engagement data collected during visual educational interventions. Through four sub-questions, the study evaluated how …

The Use of K-pop Idols as Trend Forecasting Tools This thesis explores how K-pop idols and their fan communities co-create fashion trends, and how brands can leverage this dynamic as a forecasting tool. As traditional trend cycles become outdated in the fast-paced digital age, K-pop offers a real-time, …