Learn more about eLife assessments Scientific progress depends on reliable and reproducible results. Progress can be accelerated when data are shared and re-analyzed to address new questions. Current ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Angela Thompson has been appointed National Security Analysis mission area executive at the Johns Hopkins Applied Physics Laboratory (APL) in Laurel, Maryland. Thompson joined the Laboratory in 2007 ...

Objectives To systematically compare the effects of various antithrombotic strategies on prespecified outcomes including 28-day all-cause mortality (primary outcome), major thrombotic events and major ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Abstract: Myoelectric pattern recognition systems serve as a promising predictive control approach for the lower limbs prostheses and exoskeletons. However, their actual deployment is challenged by ...

Version 0.9.0 (Beta) is under active development. We welcome contributions and developers to join us in building this project. 🌟 Tip: With GIS MCP Server, your AI can now “think spatially,” unlocking ...

If you like this project, please give it a "star"! Thank you for your support! I am currently still actively learning English and have utilized advanced AI translation technology for the English ...