The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

This important paper substantially advances our understanding of how Molidustat may work, beyond its canonical role, by identifying its therapeutic targets in cancer. This study presents a compelling ...

This paper introduces an exact geometrically nonlinear 3D truss finite element based on the positional formulation, capable of accounting for arbitrarily varying axial rigidity along the element’s ...

Daily travel plans and early warnings for extreme weather all rely on traditional numerical weather prediction. However, both ...

In many global payroll platforms, governance is embedded in internal policy that users cannot amend. This asymmetry shapes ...

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Thomas J. Brock is a CFA and CPA with more than 20 years of experience in various areas including investing, ...

This manuscript presents important findings that challenge traditional models of speech processing by demonstrating that theta-gamma phase-amplitude coupling in the auditory cortex is primarily a ...

Abstract: This work presents a nonlinear embedding model approach for designing continuous class E (CCE) power amplifiers (PAs) based on gallium nitride (GaN)-HEMT packaged devices with harmonics ...

Tim Smith has 20+ years of experience in the financial services industry, both as a writer and as a trader. Yarilet Perez is an experienced multimedia journalist and fact-checker with a Master of ...