Computed tomography (CT) at the third lumbar vertebra (L3) is widely used for muscle quantification, but manual segmentation is labor intensive. This study externally validates an AI model, trained on a public dataset, for automated L3 muscle segmentation using an independent cohort, including a subgroup …

Background/aims: Malnutrition is a common clinical problem causing poor outcomes, including longer hospital stays, complications, functional decline, and mortality. Oral nutritional supplements (ONS) are a key component of medical nutrition therapy for patients who cannot meet their nutritional needs …

This paper describes the development of a systemsbased reference model to support teachers in learning about collaborative learning among teachers. By representing collaborative dynamics into a formal model, the project offers a tangible means to support sustained, collective professional growth. The …

Throughout this thesis, a competitive durable reinforcement design for the Mastenbroek-IJssel reinforcement project is developed and modeled. In 2024 the Drents Overijsselse Delta Water Board began with the exploration phase of the Mastenbroek-IJssel reinforcement project as 10.8 km of the IJssel dike …

This report documents the progress and interim outcomes of Work Package 1.1 within the Cool Cities project under the Interreg North Sea Region programme. WP1.1 focuses on developing Local Context Summary Memos for each partner city, providing a shared evidence base on urban heat risks, vulnerabilities, …

This Plan of Approach outlines how Work Package 1 (WP1) of the Interreg NSR Cool Cities project will support eight partner cities in the governance and planning of urban heat adaptation. It is written for urban professionals, project partners, and urban planners involved in the co-creation of adaptation …

Artificial intelligence (AI) is an emerging technology and offers opportunities for developing innovative products and services. Traditionally, innovation process models are tools to support innovation. However, existing innovation process models are criticized for being generic, rigid, and resource-intensive, …

In recent years, drones have increasingly supported First Responders (FRs) in monitoring incidents and providing additional information. However, analysing drone footage is time-intensive and cognitively demanding. In this research, we investigate the use of AI models for the detection of humans in drone …

ChatGPT’s emergence and subsequent evolution as a generative artificial intelligence tool introduces new ways of assisting students with research design. Fostering research skills with undergraduate students presents opportunities and challenges for faculty to aid with drafting research plans, questions …

Evidence-based research (EBR) is the systematic and transparent use of prior research to inform a new study so that it answers questions that matter in a valid, efficient, and accessible manner. This study surveyed experts about existing (e.g., citation analysis) and new methods for monitoring EBR and …