Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

Abstract: Incorporating magnetic hysteresis in time-stepped finite element analysis is still challenging as the reluctivity exhibits a discontinuity at the reversal points when using the fixed-point ...

For us, nonlinear time finds natural expression in a metaphor: the koru, or unfolding fern frond. Researcher Paula Toko King ...

SAN FRANCISCO (KGO) -- For the first time in more than two decades, San Francisco is changing the way it counts the number of unhoused individuals on its streets. "This is a major change. We're going ...

Umbrella or sun cap? Buy or sell stocks? When it comes to questions like these, many people today rely on AI-supported recommendations. Chatbots such as ChatGPT, AI-driven weather forecasts, and ...

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.

Design engineers routinely rely on bolted joints, yet most guidance focuses on axial stiffness—often overlooking moment (pitch) stiffness, which can dominate compliance in ...

It has been discovered that the domain 'example.com,' used for testing and explanation purposes, is treated as a real mail server in Microsoft Outlook's auto-configuration feature, resulting in users' ...

Samantha (Sam) Silberstein, CFP®, CSLP®, EA, is an experienced financial consultant. She has a demonstrated history of working in both institutional and retail environments, from broker-dealers to ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Abstract: Cloud and cloud shadow contamination significantly reduce the applicability of optical remote sensing images, introducing relevant gaps in land-cover representation. Existing cloud removal ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...