This study aims to check the performance of two distinct configurations system: a photovoltaic-thermal (PVT) system with an ice buffer storage tank figure [1] and a conventional PV system with an air heat exchanger on the back, figure [3]. The ice buffer storage tank is used to store excess heat from …

This research investigates power optimization in Thread mesh wireless networks through an algorithmic approach, aiming to reduce overall power consumption while maintaining reliable network performance. Transmission power serves as a key parameter for achieving energy efficiency, and the study focuses …

This study explores if multiple alterations of the classrooms' indoor environmental conditions, which lead to environmental conditions meeting quality class A of Dutch guidelines, result in a positive effect on students' perceptions and performance. A field study, with a between-group experimental design, …

Peer-to-peer (P2P) energy trading has been recognized as an important technology to increase the local self-consumption of photovoltaics in the local energy system. Different auction mechanisms and bidding strategies haven been investigated in previous studies. However, there has been no comparatively …

Purpose: This study aims to qualitatively examine the relationship between the indoor environmental quality (IEQ), lecturers’ and students’ perceived internal responses and academic performance. Design/methodology/approach: To capture user experiences with the IEQ in classrooms, semi-structured interviews …

The decision-making process in boardrooms has a significant impact on organizational performance. In the last two decades, scientific research on the decision-making process in boardrooms has increased. This resulted in a substantial body of knowledge about boardroom factors and their relation to organizational …

Machine learning models have proven their use in the medical field, assisting physicians in early diagnosis of serious diseases. Diabetic retinopathy is one of such diseases that could benefit from early detection, but the amount of data available to train accurate models is limited. This challenge could …

In de accountancybranche heersen een aantal kenmerken die ervoor hebben gezorgd dat de adoptie van automatisering, digitalisering en data-analyse achterloopt. Dit heeft een aantal redenen: door de hoge werkdruk is er soms geen kans om te innoveren; de omzet is toereikend, waardoor de nut en noodzaak …

While the wide stream of corporate governance literature dominates governance research, less attention is brought to its applicability to SMEs. We propose that a new perspective on governance research is needed to improve our ability to understand the governance mechanisms driving these smaller firms. Note: …

Individuals with autism increasingly enroll in universities, but little is known about predictors for their success. This study developed predictive models for the academic success of autistic bachelor students (N=101) in comparison to students with other health conditions (N=2465) and students with …