The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant challenge for ...

Predicting the evolution of wear in metallic structural components is vital for accurately estimating the lifetime of engineering equipment. However, this remains a significant challenge due to the ...

Quantum computers are alternative computing devices that process information, leveraging quantum mechanical effects, such as entanglement between different particles. Entanglement establishes a link ...

Abstract: Kalman filter (KF) is increasingly attracted for sensorless control of surface permanent magnet synchronous motors due to its strong robustness against measurement and system noise. However, ...

This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...

An academic article that directly influenced the Network for the Greening of the Financial System's (NGFS) climate policies was proven to be inaccurate. The article, published in Nature in April 2024, ...

Kalshi has proposed new rules around erroneous trades, requiring a $10,000 fee to review potentially incorrect trades, and clarifying that generally “trader error” is not grounds to cancel a trade, ...

The Chicago Cubs are tied atop the NL Central with the Milwaukee Brewers, with both teams tied for the best record in Major League Baseball. In such a tight a race, every out becomes a little more ...

Researchers have developed an innovative approach to predict the working status of high-formwork support systems (HFSS) by combining finite element model (FEM) simulations with deep learning and large ...

Open-Source Hybrid Large Language Model Integrated System for Extraction of Breast Cancer Treatment Pathway From Free-Text Clinical Notes Federated learning (FL) enables multi-institutional predictive ...