Reinforcement learning algorithm enables hydraulic power without power switching complications, enabling improved energy ...

A simple software method to increase the duty-cycle resolution in a digital pulse width modulation (DPWM)-controlled power ...

Nonlinear dendritic integration in single presubicular neurons provides a mechanism for combining vestibular-based head-direction signals and visual landmark signals to anchor the brain’s internal ...

Introduction Repeated exposure to domestic violence (DV) is common among women; however, little is known about how women’s ...

Introduction This article outlines the research protocol for a multicentre, randomised, controlled study designed to evaluate the therapeutic effect of a modified olfactory training (MOT) based on ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

Global energy markets are entering a structural inflection point as all net electricity growth shifts to low-carbon sources, ...

NEW YORK, December 10, 2025--(BUSINESS WIRE)--MacLean Power Systems ("MPS") and Power Grid Components ("PGC"), two leading manufacturers of engineered components and solutions for electrical ...

Artificial intelligence can transform healthcare workflows, but it is energy intensive, and organizations need to be prepared for a change in energy needs.

Researchers at the Department of Energy's Oak Ridge National Laboratory partnered with the University of Tennessee to develop ...

PFAS are forever chemicals that do not degrade in the environment. They enter soil and water, accumulate in plants, animals ...

In early 2020, the prevailing narrative in the power sector was a continuation story of the developments from the decade ...