Li, Y. and Liu, J. (2025) An Accessible Predictive Model for Alzheimer’s Disease Based on Cognitive and Neuropathological ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

High performance liquid chromatography (HPLC) is a widely used and well-established technique, routinely employed by thousands of analytical scientists worldwide. Nonetheless, certain ...

Researchers at the University of Gothenburg have announced an interesting invention: the “smallest on-chip motor in history.” ...

Stacking glass for high-frequency applications Glass is ideal for 6G wireless communication networks, which must support >100 ...

In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

Agriculture is one of the largest contributors to global greenhouse gas emissions, releasing carbon dioxide, methane, and nitrous oxide through fertilizer use, livestock production, irrigation, and ...

Innovative spectral techniques in urine analysis provide rapid, precise diagnostics, transforming early disease detection and ...

A new study published in Scientific Reports provides evidence that blinking acts as a subtle but meaningful marker of ...

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...

Srajan Gupta's work with AI Security Crew sits at the convergence of multiple trends: the rise of AI agents, the need for ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...