This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

Vehicle-to-Grid (V2G) market momentum is driven by accelerating electric vehicle adoption, grid decentralization, regulatory incentives, and utility ...

Discover how researchers are overcoming the limitations of the undruggable target in drug discovery using novel approaches ...

We've entered the era of the "frontier firm"—an organization where artificial intelligence (AI) isn't just a tool but the operating system.

Distributed Integrated Energy Microgrid, as a key infrastructure for the low-carbon transition of regional energy systems, faces critical challenges in achieving optimal operation—primarily due to ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Objectives To examine how the population composition, practice organisation and geographical context of general practice clinics are associated with unwarranted variation in prescribing patterns ...

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 ...

Gastric duplication cyst (GDC) is a rare sub-type of enteric duplication cysts. Complete surgical excision is recommended due to potential risks of bleeding, perforation and malignant transformation.

Rudimentary horn pregnancy (RHP) is a rare form of ectopic pregnancy that poses significant risks if not recognised early, as rupture can result in severe maternal morbidity. Early diagnosis is both ...

TSX-V: AGAG Argenta Silver Corp. is pleased to announce a significant expansion of its planned 2025-2026 Summer Exploration Program, including an increase in diamond drilling to 25,000 meters, the ...