Residential burglaries often go unsolved, as collected DNA traces and fingermarks frequently originate from residents rather than the offender. It is therefore important to know how to target sampling locations that specifically relate to the burglary event. However, data that aid in assessing the likelihood …

Traditional non-linear models offer Dutch municipalities limited insight into the social behaviour of local stakeholders, even though this behaviour largely determines the success of policies in complex sociotechnical systems. This study addresses the following research question: “How can an agent-based …

Objectives Following an anterior cruciate ligament (ACL) injury, athletes may become more reliant on their vision to maintain postural control. Wearing stroboscopic glasses, which intermittently disrupt visual input, can result in decreased vision. However, it remains unclear whether this affects single-leg …

With increasing technology advancement, including the rising use of smartphones, some individuals rely heavily on smartphones in their daily lives and become increasingly anxious if they do not have access to their smartphones (i.e., nomophobia [no mobile phobia]). The present study evaluated the psychometric …

Influencer marketing has become a key element of modern brand communication. More and more companies rely on influencers to reach consumers on an emotional level. But how do individuals with different personality traits respond to such content – and how does this affect their purchasing behavior? This …

Introduction Recording sap flow in plants is essential to understanding water usage, especially for herbaceous species like tomatoes. While plant physiology research has progressed, there remains a gap in applying sap flow sensor data to these species. In this study, the predictive capabilities of Recurrent …

Hyperhomocysteinemia is a risk factor for cardiovascular disease, neurological disorders, and bone abnormalities. The key enzyme in homocysteine metabolism, cystathionine-β-synthase (CBS) is recognized as a target for new homocysteine-lowering therapies including enzyme replacement and gene therapy. …

Manual crack inspection is labor-intensive and impractical at scale, prompting a shift toward AI-based segmentation methods. We present a novel crack segmentation model that leverages the Segment Anything Model 2 (SAM 2) through transfer learning to detect cracks on masonry surfaces. Unlike prior approaches …

There is a wide range of literature suggesting that implicit learning is more effective than explicit learning when acquiring motor skills. However, the acquisition of nursing skills in educational settings continues to rely heavily on detailed protocols and explicit instructions. This study aimed to …

In this thesis, we focus on developing behaviours for socially interactive agents (SIAs). The context in which the agent is used is a self-regulated learning system for children. We focus on personalising learning objectives and interaction content within an intelligent tutoring system (ITS). We envision …