This review aimed to describe self-management interventions for burn survivors and assess their effectiveness, while also examining interventions for comparable acute onset chronic conditions - myocardial infarction (MI) and lower extremity trauma (LET) - to gain broader insights. Following PRISMA guidelines, …

The goal of this graduation project is to analyse, design, and implement a new AI component within the 4Food ERP system that improves the detection, prevention, and prediction of quality and quantity issues in food manufacturing processes and demonstrate the feasibility of integrating an AI-based solution …

Cities and communities are central arenas for the global sustainability transition, and Education for Sustainable Development (ESD) is increasingly recognised as a key lever for the long-term societal learning this transition requires. Yet there is no systematic, transparent way to assess whether municipal …

Background & aim Adequate protein intake is essential during recovery from illness to prevent complications such as malnutrition, sarcopenia, and delayed wound healing. Mobile applications may support self-monitoring and early detection of inadequate intake. This study evaluated the concurrent validity …

The research project The New Illuminators: Women in Search of Spiritual Authority and Resilience provides us with a remarkable level of access to the work of women bible journallers. In addition to questions about gender, agency and interpretation, the project demonstrates once more the enduring dynamics …

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) …

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 …

The present study investigated the effectiveness of the RiverScan third mission initiative in Cebu City, Philippines. Universities are increasingly embracing a 'third mission' beyond their core functions of teaching and research—namely, mobilizing knowledge to generate impact and address societal challenges. …

Recent debates in rural development suggest a growing interest in integrating landscape-based knowledge into participatory decision-making. This study contributes to this discussion by examining how landscape—understood as the interplay between human actions, natural processes, and soil systems—can be …

Although attitudes toward sustainable commuting have become more positive in many countries, actual behavioral change remains slow. Meanwhile, the transport sector remains a major source of greenhouse gas emissions in Europe, with significant differences in sustainability efforts between governments …