Mitigating matrix effects is essential for precise XRF spectrometry. Explore methods to enhance sample consistency and ...

This important study, which tackles the challenge of analyzing genome integrity and instability in unicellular pathogens by introducing a novel single-cell genomics approach, presents compelling ...

de Filippis, R. and Al Foysal, A. (2026) Cross-Population Transfer Learning for Antidepressant Treatment Response Prediction: A SHAP-Based Explainability Approach Using Synthetic Multi-Ethnic Data.

Verified Market Research® a leading provider of business intelligence and market analysis is thrilled to announce the release of its comprehensive and authoritative report on the, "Coffee Pods and ...

By 2035, the market will likely standardize "Smart Drapes" integrating fluid sensors and RFID tracking. Sustainability will ...

The orbitofrontal cortex (OFC) is critical to identifying task structure and to generalizing appropriately across task states with similar underlying or hidden causes. This capability is at the heart ...

U.S. nuclear power is seeing a resurgence as utilities, tech companies, and federal programs invest in restarts, SMRs, and next-generation reactors to meet growing demand and ... Wildfire risk ...

Abstract: Distribution-level synchronized measurements serve as a valuable resource for event-type identification. The precision in identifying events offers crucial information for fault analysis, ...

For the parcel peak season, which ShipMatrix defines as from December 1-December 31, the firm said that on-time performance (OTP) for FedEx, UPS, and the United States Postal Service (USPS), based on ...

This project implements advanced deep learning architectures for brain tumor segmentation and classification using the BRISC2025 dataset. Successfully tested and optimized for GPU acceleration with ...