Hou, C. (2026) Assessment of Cognitive Function in the Elderly and Analysis of Its Influencing Factors. Journal of ...

NHANES biomonitoring (2003–2018) linked serum PFAS measures to self-reported physician-diagnosed NMSC using adjusted logistic regression and exploratory Firth models for stratified analyses. PFDA ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

ABSTRACT: Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional health data characterized by ordinal outcomes. This study offers a comparative ...

Heart failure (HF) is a complex and varied condition that affects over 50 million people worldwide. Although there have been significant strides in understanding the underlying mechanisms of HF, ...

Abstract: Safe path planning is critical for bipedal robots to operate in safety-critical environments. Common path planning algorithms, such as RRT or RRT*, typically use geometric or kinematic ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

I have now completed four rounds of Function Health testing since August 2024, and this service has become one of the most valuable tools in my health optimization routine. This updated Function ...