New Machine Learning Method Accurately Predicts Earth-Rock Dam Compaction Density
A new machine learning method has been developed to accurately predict the compaction density of earth-rock dams. This method uses…
A new machine learning method has been developed to accurately predict the compaction density of earth-rock dams. This method uses…
Fire source localization is a crucial task in building fire emergencies. Currently, incident commanders rely on reports from firefighters or…
Scientists at Scripps Research have developed a new blood test that can predict type 1 diabetes with 100% accuracy in…
Breath analysis is a promising non-invasive method for diagnosing and monitoring diabetes. This review discusses various breath analysis technologies, with…
Poor powder catchment efficiency, is a limiting factor in the adoption of Directed Energy Deposition for the processing of expensive…
Electrochemical reactions represent essential processes in fundamental chemistry that foster a wide range of applications. Although most electrochemical reactions in…
Chimeric antigen receptor (CAR)-T cells, although potent therapeutics, often face significant challenges in achieving their full efficacy. In this study,…
Cancer’s ability to elude the immune system is a well-known characteristic. While much research has focused on somatic mutations within…