Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for ...

Interstitial fluid mirrors many biomarkers found in blood and has attracted growing interest as a target for painless diagnostics. Microneedles offer a way to access this fluid through the skin, but ...

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

Photo-reflectance spectroscopy enhances semiconductor quality control with sensitive, contactless measurements of band structure and electric fields in devices.

Melissa Horton is a financial literacy professional. She has 10+ years of experience in the financial services and planning industry. NicoElNino Simple random sampling gives each member of a ...

The methods of diagnosing and treating localised prostate cancer has changed significantly in the last two decades.

Molecular glues are enjoying the spotlight, but discovering new ones is often a matter of luck. A new method, developed by ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Introduction Child stunting, a measure of malnutrition, is a major global health challenge affecting 148.1 million children ...

Abstract: This paper investigates four discretization schemes-EAFE, FVSG, CVFEM-SG, and EFTFE-for solving the quantum drift-diffusion (QDD) model formulated using quasi-Fermi levels. A series of ...