Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Lab-in-the-loop framework enables rapid evolution of complex multi-mutant proteins

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...
eLife

Adaptation of an herbivorous arthropod to green tea plants by overcoming catechin defenses

Department of Chemistry and Biochemistry, University of South Carolina, Columbia, United States ...
Visual Studio Magazine

Decision Tree Regression from Scratch Without Pointers or Recursion Using C#

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 ...
How-To Geek on MSN

5 powerful Python one-liners that will make you a better coder

Why write ten lines of code when one will do? From magic variable swaps to high-speed data counting, these Python snippets will transform your code.
IEEE

A survey of applications of simple and multiple linear regression in solar power generation

Abstract: The aim of this paper is to present the results of literature survey on the application of simple and multiple linear regression (to be called regression henceforth in this paper) technique ...
The Lancet

Daily steps and health outcomes in adults: a systematic review and dose-response meta-analysis

aSydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia bThe Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia ...
IEEE

CLEAR: A Fast Cloud Removal Method for Optical Remote Sensing Images Combining Class-based Linear Regression and Iterative Residual Compensation

Abstract: Cloud and cloud shadow contamination significantly reduce the applicability of optical remote sensing images, introducing relevant gaps in land-cover representation. Existing cloud removal ...