In one instance, to further enhance output voltage swing and linearity, the authors propose a novel “breakdown-voltage (BV) ...

Introduction Duplicate medical records occur when a single patient is assigned multiple medical record numbers within an ...

Out-of-hospital cardiac arrest, or OHCA, is a leading cause of mortality worldwide and 90% of cases are fatal. Patients lose cardiac function and circulation, and every minute they remain untreated ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

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 ...

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

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Scientists have created an AI model that forecasts moderate heat stress—a major precursor to coral bleaching—at sites along ...

By Priyanjana Pramanik, MSc. New research in U.S. firefighters reveals how workplace practices, personal factors, and environmental exposures shape PFAS levels, offering insights into practical ...

Guzmán, P. and Halpern, M. (2026) Effects of Treatment Delays on Colorectal Cancer Survival. Journal of Cancer Therapy, 17, ...

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 ...