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 ...

In recent years, numerous landslides on hillsides in urban and rural areas have underscored that understanding and predicting ...

The Dark Energy Survey Collaboration collected information on hundreds of millions of galaxies across the universe using the ...

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

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

Introduction Demographic change is resulting in a growing number of individuals requiring nursing care, while the ...

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

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 ...

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

Biotech data visualization is often static and fragmented, limiting the ability to see integrated patient journeys and ...

Overview: PostgreSQL ETL tools help manage growing data volumes by automating extraction, transformation, and loading from ...