Hydrological models represent water movement in natural systems, and they are important for water resource planning and ...
Researchers have pushed quantum chip design into a new era by simulating every physical detail before fabrication. Using a supercomputer with nearly 7,000 GPUs, they modeled how signals travel and ...
Semantic Scholar and Research Rabbit differ in discovery approach; one centers on figures and references, the other maps ...
Light-based quantum technologies, such as quantum communication and photonic quantum computing, require reliable sources of ...
Methods: We performed a search across 6 electronic databases for studies developing ML predictive models for ARDS, with a cutoff date of December 29, 2024. The risk of bias in these models was ...
A new clinic-ready web-based risk prediction tool is now available to forecast the risk of young people with psychosis developing cardiometabolic disorders such as obesity, metabolic syndrome and ...
Researchers at the Indiana University Melvin and Bren Simon Comprehensive Cancer Center have found that depleting a clotting protein made by the liver could slow down pancreatic cancer. The research, ...
For agents, the value is clearer still: structured JSON output, reusable commands and built-in skills that let models ...
The incidence of ischemic stroke continues to rise globally, however, regular physical activity before stroke onset ...
Abstract: A high-precision storm-time ionospheric model is crucial for both ionospheric research and precise positioning applications of global navigation satellite systems (GNSSs). However, the ...
Abstract: This article explores two compact modeling methods for AlGaN/GaN HEMTs under radiation environments, based on Artificial Neural Network (ANN) techniques. The first method is a hybrid compact ...
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