City of Scientific Research and Technological Applications

Assessing the potential, effectiveness and implementation challenges of beach and tourism ecolabels for beach macrolitter reduction

Abstract There is an urgent need to address the contribution of mass tourism to coastal litter generation, however, identifying effective, context-specific measures to reduce listed litter remains challenging. This study evaluated 142 beach and tourism ecolabels against a list of...

Machine learning-based prediction of SARS-CoV-2 bioactivity: integrating IC50 regression and activity classification using multi-task neural networks

Abstract Accurate prediction of compound bioactivity is essential for accelerating antiviral drug discovery and reducing experimental costs. Machine learning (ML) methods have shown considerable promise in modeling structure–activity relationships and compound potency. In this st...