AI-generated music can move us more than human-composed music
Peer-Reviewed Publication
Updates every hour. Last Updated: 18-Dec-2025 09:11 ET (18-Dec-2025 14:11 GMT/UTC)
A study coordinated by the UAB analyses the physiological and emotional response of 88 persons when watching the same video but accompanied by different types of music: human compositions and AI-generated music. The results, published in the journal PLOS One, reveal that AI can generate music that is perceived to be more exciting, which can have significant implications for the future of audiovisual production.
A research team at Japan’s National Institutes for Quantum Science and Technology (QST) has demonstrated that electron beam (EB) irradiation can decompose polytetrafluoroethylene (PTFE) — a highly durable plastic known as Teflon — into gaseous components. This method drastically improves the energy efficiency compared to conventional recycling processes, offering a promising path toward reducing the environmental impact from per- and polyfluoroalkyl substances (PFAS).
Pollinators, such as bumblebees, are essential providers of ecosystem services for agriculture, yet their numbers are declining due to landscape structure simplification and habitat loss. To explore this issue, an international research group set up 56 commercial bumblebee colonies in Eastern Austria and Western Hungary—two regions once divided by the Iron Curtain and now markedly different in field size: Austria with very small, narrow fields (around 2 hectares) and Hungary with large fields (around 17 hectares). Their goal was to find out how local factors (crop type) and landscape-scale features (mean field size and proximity to semi-natural habitat) affect colony success—specifically traffic rate (a proxy for bumblebees activity), growth, and reproduction. They also examined pollen diversity and tested bumblebee navigation abilities by relocating workers and recording how quickly they returned to the colony, using small radio frequency identification tags.
TripletDGC, an open-source GitHub toolkit, leverages single-cell RNA-seq to map nearly 10,000 disease-associated genes to their most impacted cell types—creating over 54,000 gene-disease-cell links to accelerate precision medicine and targeted drug discovery.