Generation of harmful slow electrons in water is a race between intermolecular energy decay and proton transfer

When high-energy radiation interacts with water in living organisms, it generates particles and slow-moving electrons that ...

Framework models light-matter interactions in nonlinear optical microscopy to determine atomic structure

Materials scientists can learn a lot about a sample material by shooting lasers at it. With nonlinear optical microscopy—a ...
Google Glass Almanac

Cryo-EM Breakthrough: Most Precise Atom Images Ever Captured!

Thanks to cryo-electron microscopy (cryo-EM), teams of German and British researchers have managed to create images of atoms ...
eLife

Explainable machine learning-assisted exploration of chromatin dynamics reveals chromosome-specific response to serum starvation

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...
GitHub

A generative speech model for daily dialogue.

For the extended end-user products, please refer to the index repo Awesome-ChatTTS maintained by the community. ChatTTS is a text-to-speech model designed specifically for dialogue scenarios such as ...
IEEE

Potential of Sample Migration and Explainable Machine Learning Model for Monitoring Spatiotemporal Changes of Wetland Plant Communities

Abstract: The composition and dynamics of wetland plant communities play a critical role in maintaining the functionality of wetland ecosystems and serve as important indicators of wetland degradation ...
IEEE

An Automatic Sample Augmentation Method for Paddy Rice Mapping Based on Segment Anything Model and Phenological Features—A Case Study in Southwest China

Abstract: The remote sensing mapping of paddy rice in Southwest China faces challenges such as fragmented parcels and difficulties in field sample collection, hindering deep learning technology ...