Abstract: The design principles of overhead power lines cover the effect of external loads in the atmosphere (ice load and wind load) on the layout of power transmission systems. These additional ...

To meet emerging regulatory expectations, AI governance in financial services must incorporate two complementary structural ...

Back in 1934, Ralph Nelson Elliott discovered that price action displayed on charts, instead of behaving in a somewhat chaotic manner, had actually an intrinsic narrative attached. Elliot saw the same ...

An in-depth analysis of nutrient availability across mouse tissues reveals their influence on the spread of cancer to other organs. Measurements of the masses of exoplanets orbiting a young star have ...

The partial collapse of the Carola Bridge in Dresden in September 2024 was a wake-up call for Germany's infrastructure policy. At least 8,000 highway bridges and roughly 18,000 kilometers of railroad ...

J.B. Maverick is an active trader, commodity futures broker, and stock market analyst 17+ years of experience, in addition to 10+ years of experience as a finance writer and book editor. Samantha (Sam ...

Structural biology is the study of the molecular structure and dynamics of biological macromolecules, particularly proteins and nucleic acids, and how alterations in their structures affect their ...

Tim Smith has 20+ years of experience in the financial services industry, both as a writer and as a trader. Amanda Jackson has expertise in personal finance, investing, and social services. She is a ...

Seismic isolation and damping systems have been widely adopted since the 1980s as effective and economical measures for protecting civil structures, ...

Buzzy AI startup Mercor employs tens of thousands of white-collar contractors, and the gig is open to anyone with expertise in their own particular field. Plus, tech billionaires’ ‘Save California’ ...

Dynamic loading due to pulsation is a critical consideration in piping systems connected to reciprocating machinery, such as ...

In the field of structural analysis prediction via supervised learning, neural networks are widely employed. Recent advances in graph neural networks (GNNs) have expanded their capabilities, enabling ...