A team of researchers from the University of Chicago's Pritzker School of Molecular Engineering (UChicago PME) has used ...

Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...

Dissolved Gas Analysis (DGA) is one of the most trusted diagnostic tools for assessing the internal condition of a ...

Engineers at the University of California have developed a new data structure and compression technique that enables the field of pangenomics to ...

Penn State researchers use large language models to streamline metasurface design, significantly reducing the time and ...

Deep inside stars, giant planets, and even Earth’s core, matter exists in a strange in-between state—neither solid nor fully plasma. Known as warm dense matter, this extreme form of matter shapes how ...

ABSTRACT: The present study was carried out in Douala megacity of Cameroon to highlight suitable aquifer that could be exploited by population or municipality authorities, to promote access to safe ...

LGC Standards released 13C-labelled PFAS reference materials to support EPA Method 1633, enhancing calibration and accuracy in PFAS testing. PFAS are persistent synthetic chemicals linked to health ...

WARSAW — Kindergarten students at Madison Elementary School have been learning about community helpers and jobs. Recently, the children were visited by workers with Kosciusko REMC. They learned how a ...

Abstract: Deep-learning methods have been widely used as an end-to-end modeling strategy of electrical energy systems because of their convenience and powerful pattern recognition capability. However, ...