PLOS statement on recent US Executive Orders

This study explores how the brain represents two key dimensions of emotional experience: valence and arousal. The authors built computational models on publicly available imaging data from people watching movies spanning different genres, aiming to predict moment-to-moment changes in emotional valence and arousal from patterns of connectivity.

While the hazards of dioxins have been well documented, the challenge of developing a comprehensive understanding of the overall health impact of dioxins remains. This paper proposes to address this challenge with a new approach methodology consisting of a novel adaptation of the Template-and-Anchor modeling paradigm. 

RNA 3D structure prediction often encounters entanglements, computational artifacts that complicate structural models, resulting in their exclusion from further studies despite the potentially accurate prediction of regions outside the entanglement. This study presents a protocol aimed at resolving such issues in RNA models while preserving the overall 3D fold and structural integrity