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 …

To broaden the application of biomethanation for energy storage and renewable integration, this study investigates the performance of a trickle-bed reactor (TBR) for hydrogen (H2) utilisation in biogas upgrading, using both pure Carbon dioxide (CO2) and biogas-derived CO2 as substrates for methane (CH4) …

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 …

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 …