Objective Findings of previous studies on associations between dairy consumption and metabolic health status were inconsistent. This study aimed to assess the link between consumption of dairy foods ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Discover how Monte Carlo analysis helps investors assess risk and make informed decisions. Explore its role in generating ...

Background People living with HIV (PWH) are at increased risk of cardiovascular disease; however, evidence from Asian populations remains limited. We evaluated the prevalence and characteristics of ...

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 ...

Master proteomics database searching. Learn how algorithms match mass spectra to sequences and optimize identification.

Introduction Previous reviews have investigated the relationship between empathy and burnout. However, these are now out of date, did not capture the effect of the pandemic, did not include healthcare ...

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Summary: Harvest Now, Decrypt Later (HNDL) is a strategy where attackers collect encrypted data today and store it until ...

Chapter 5: Broken Things of Poppy Playtime is full of puzzles, chase sequences, collectibles, and even some new friends.

Background Gut microbiota dysbiosis is linked to autism spectrum disorder (ASD) in children. However, the role of bacterial ...