This paper proposes an innovative method for factor analyzing data that potentially contains individual response bias. Past methods include the use of “ipsative” data, or, related to that, “ipsatized” data. Unfortunately, factor analysis as the main method used for analyzing the dimensionality of data, …

Introduction: Autonomous delivery robots are a promising alternative for last-mile delivery. To realise successful implementation of delivery robots in public spaces, it is important to study the interaction between robots and the traffic environment. The traffic environment includes the physical infrastructure …

Participatory energy planning at the local level engages citizens, builds legitimacy and trust, and increases successful implementation of renewable energies. In the context of heat planning, technology choices highly vary depending on the local context and social conditions and including social input …

Background: Sexual deviance is regarded as an important risk factor for sexual offending. However, little is known about the development of deviant sexual interests. The transfer of arousal between emotions, i.e., excitation transfer, could attribute sexual salience to stimuli that would otherwise not …

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 …

Summary: Xpaths is a collection of algorithms that allow for the prediction of compound-induced molecular mechanisms of action by integrating phenotypic endpoints of different species; and proposes follow-up tests for model organisms to validate these pathway predictions. The Xpaths algorithms are applied …

Recommenders play a significant role in our daily lives, making decisions for users on a regular basis. Their widespread adoption necessitates a thorough examination of how users interact with recommenders and the algorithms that drive them. An important form of interaction in these systems are algorithmic …

This report presents an in-depth study conducted for The KUGI Company (KUGI), with the Design-Based Research (DBR) Cycle serving as the conceptual framework for the thesis. The primary goal is to identify the most effective Customer. Relationship Management (CRM) strategy for KUGI to increase brand …

Overcoming Challenges in local green H2 economies Organizer: Dr Beata Kviatek, Jean Monnet Chair in Sustainable EU Economy, Centre of Expertise Energy / International Business School / Hanze University of Applied Sciences Groningen, the Netherlands One of the main pathways of the current energy transition …

Artificial intelligence (AI) integration in Unmanned Aerial Vehicle (UAV) operations has significantly advanced the field through increased autonomy. However, evaluating the critical aspects of these operations remains a challenge. In order to address this, the current study proposes the use of a combination …