Introduction Atrial fibrillation (AF), with a prevalence of 1–2%, is the most common cardiac arrhythmia. AF is associated with a fivefold increased risk of cardioembolic events; approximately 20% of ...
Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform ...
Using longitudinal data on more than 370 000 older Japanese adults, we found that living in constituencies represented by pro-tobacco legislators was associated with higher smoking prevalence. The ...
As dementia cases continue to rise in the United States, new research from the University of Michigan School of Public Health reveals that older Americans with cumulative lead exposure face a ...
Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...
Markdown is emerging in VS Code and Visual Studio 2026 as a version-controlled instruction layer that governs AI agents, reusable prompts and modular skills alongside traditional documentation.
Background Coronary microvascular dysfunction (CMD) is associated with a poor prognosis but is difficult to diagnose non-invasively. In a recent paper, ST-segment depression on exercise-ECG was found ...
It’s becoming somewhat of a theme that machine-generated content – whether it’s code, text or graphics – keeps pushing people ...
Objectives Anti-neutrophil cytoplasmic antibody-associated vasculitis (AAV) is a systemic autoimmune disease where infections ...
Abstract: Conventional machine learning approaches in precision agriculture improve soil prediction but fail to account for feature congruence between samples and prediction environments, resulting in ...
Abstract: In view of the limited feature points extracted by traditional algorithms in heterogeneous remote sensing image matching, resulting in a small number of successfully matched point pairs and ...
This project focuses on developing a custom clustering algorithm to analyze wine data, providing an alternative to conventional machine learning techniques. The primary objective is to group wine ...
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