This graduation project focuses on improving the understanding and analysis of complex business processes that are difficult to manage due to inconsistencies, lack of standardisation, and poor interoperability between systems. The project is situated in the domain of business process modelling and simulation, …

Background Communicative participation is the most important outcome of speech and language therapy. However, there are no instruments to measure communicative participation in children. This paper focuses on assessing the psychometric properties of MyCommunication-Children, an item bank designed to …

Business model innovation (BMI) in smart industry contexts requires tools that simultaneously provide analytical rigor for modeling multi-actor value networks and collaborative engagement for facilitating cross-organizational innovation. Current BMI tools force practitioners to choose: ontology-based …

Abstract from EHRCON25-openEHR International Conference 2025. The increasing demand for structured high-quality clinical data for AI and decision support systems highlights the shortcomings of current healthcare data infrastructure, particularly its misalignment with FAIR [1] data principles (Findable, …

This study examined how school diversity perspectives (multiculturalism, critical consciousness, color-evasion) may enhance student outcomes (school belonging, well-being, intercultural contact) and whether a strong diversity climate among classmates (openness and appreciation of diversity) may moderate …

Agent-based modeling (ABM) is a powerful tool for simulating building users’ dynamic behavior in demand response (DR) programs. However, ABM faces several challenges, particularly in encoding building users’ natural language features and common sense into rules or mathematical equations. To overcome …

Agent-based modeling (ABM) is a powerful tool for simulating building users’ dynamic behavior in demand response (DR) programs. However, ABM faces several challenges, particularly in encoding building users’ natural language features and common sense into rules or mathematical equations. To overcome …

Although near-peer role modeling (NPRM) has been suggested as an effective pedagogical intervention for boosting confidence, motivation, and self-efficacy, few studies have examined its connection with learner needs and well-being utilizing an established psychological framework. The present study investigates …

In het snel evoluerende domein van machine learning is het cruciaal om het meest geschikte model voor een bepaalde dataset te selecteren. Inzicht in de kenmerken van een dataset kan een aanzienlijke invloed hebben op de resultaten van voorspellende modellen, waardoor de studie van de eigenschappen van …