Efficient hydrogen (H2) storage remains a major challenge for clean energy applications. This study presents an AI-driven methodology to optimize H2 storage in porous carbon adsorbents. A comprehensive dataset of 917 literature-derived entries was used to develop two machine learning models: Random Forest …

Power-to-X technologies play a crucial role in accelerating the energy and material transition. A key opportunity lies in integrating these systems with existing bio-based infrastructures such as anaerobic digesters, providing a reliable source of biogenic carbon. Developing effective Power-to-Methanol …

OBJECTIVE: Geriatric rehabilitation (GR) is an essential component of transitional care. However, insight into longitudinal care use and related costs is limited. This study mapped GR trajectories over a six-month period, identified latent groups with similar cost patterns and examined patient-level …

Eco-criticism, emerging in literary studies in the 1970s, argued for a critical engagement with environmental threats beyond the nature-culture dichotomy. Today, eco-critical thinking is omnipresent. But how can students be prepared for eco-critical research, which invites interdisciplinarity, multispecies …

The transition towards a sustainable and competitive European economy requires new analytical and decision-support frameworks capable of integrating industrial innovation, environmental constraints, and policy governance. This concept note introduces a multi-level approach to understanding the role of …

Bloxxgame is a digital education platform for higher education students and teachers. It teaches blockchain fundamentals in an interactive, risk-free environment—no technical background needed. The platform is tailored for teachers who want to introduce students to key blockchain concepts, including …

The chaotic information environment during (poly)crises, marked by urgency and heightened emotions, complicates truth assessments and provides fertile ground for the proliferation of disinformation. While the role of emotions in shaping disinformation beliefs and sharing is widely acknowledged, there …

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 …

Introductie: Adolescente voetballers die aspireren het elite­niveau te bereiken, volgen doorgaans een duale carrière. Daarnaast maken zij een snelle fysieke en psychologische ontwikkeling door binnen unieke sociale omgevingen. Niet-trainingsgerelateerde stressoren, zoals onderwijstaken, kunnen stress …

Cellular differentiation reduces blastoconidia abundance in young static cultures. By contrast, blastoconidia are dominant again in older static cultures. Blastoconidia are mainly produced by hyphae in older static cultures. A developed mathematic model can predict cell type abundance in static cultures …