Modern industry relies heavily on catalysts, which are substances that speed up chemical reactions. They're vital in ...

Tempe, Arizona - January 15, 2026 - PRESSADVANTAGE - Tonys Picks, a California company, announced today the integration ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

The Materials Science Learning Center (MSLC) offers resources and expert insights to enhance materials characterization and accelerate scientific breakthroughs.

Overview: AI helps farmers make accurate decisions using real-time data from soil, weather, and crops.Precision farming ...

In recent years, numerous landslides on hillsides in urban and rural areas have underscored that understanding and predicting these phenomena is more than an academic curiosity—it is a human necessity ...

Unpack the challenges of flare gas monitoring and explore innovative solutions for real-time analysis to ensure environmental compliance and efficiency.

The AI revolution has transformed behavioral and cognitive research through unprecedented data volume, velocity, and variety (e.g., neural imaging, ...

A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...

A new tool offers researchers a better way of exploring and understanding catalyst data.TSUKUBA, Japan, Feb 2, 2026 - (ACN Newswire) - Modern industry relies heavily on catalysts, which are substances ...

A new web-based tool visualizes catalyst gene profiles, helping scientists explore patterns and improve catalyst design.

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...