Prior research on network attacks is predominantly technical, yet little is known about behavioral patterns of attackers inside computer systems. This study adopts a criminological perspective to examine these patterns, with a particular focus on data thieves targeting organizational networks. By conducting …

Knowledge about trends and epidemiology of pediatric burns is useful to identify patterns, to advance medical research, and to design prevention programs and resource allocation. The aim of this study is to describe the epidemiology and trends of pediatric burns between 2009 and 2022 in the three Dutch …

Machine learning models use high dimensional feature spaces to map their inputs to the corresponding class labels. However, these features often do not have a one-to-one correspondence with physical concepts understandable by humans, which hinders the ability to provide a meaningful explanation for the …

Abstract: The Problem-Solution Chain (PSC) models proposed in this exploratory paper are conceived as describing chains of problem-solution links, thereby modelling specific multi-link ‘problem-solving’ paths, typically (but not exclusively) from a high-level business problem to lower-level functional …

This paper presents a generative large language model (LLM)- guided approach to detect discursive patterns in Dutch social media. Newsrooms of municipalities and public organizations follow public debate on social media to be aware of and prepare for local and global issues and rumours. The onset of …

Urban densification continues unabated, even as the possible consequences for users’ eye-level experiences remain unknown. This study addresses these consequences. In a laboratory setting, images of the NDSM wharf were shown to university students primed for one of three user groups: residents, visitors …

The thesis investigates the effects of rising water consumption costs on small-scale farmers in Mathioya District, Murang’a County, Kenya. It aims to identify the challenges these farmers face due to the increased cost of water for consumption exacerbated by climate change and offers strategies for equitable …

In this abstract we describe a computational approach for detecting discursive patterns in social media. Newsrooms of municipalities and public organizations such as the police follow public debate on social media to be aware of and prepare for local and global issues and rumors. The onset of these issues …

This study explored how dressage judges focus their attention on different parts of horse-rider performances during competitions. By using eye tracking technology, we analyzed where judges look and how long they focus on specific areas. We included twenty judges with varying levels of experience and …

This study analyzes the consumer behavior of different generations regarding plant-based drinks in the Netherlands and Canada. Dutch Millennials prefer pea-based milk, while Generation Z shows a broader preference; in Canada, generational differences are less pronounced. Purchase motives vary: social …