To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

Abstract: A mathematical model is developed for the dual resource constrained flexible job-shop scheduling problem (DRCFJSP), considering worker proficiency and preparation times of jobs on machines ...

This project implements a genetic algorithm to optimize and reduce chemical reaction mechanisms using Cantera. The goal is to create reduced mechanisms that maintain accuracy while minimizing the ...

Millions struggle with depression and anxiety, often enduring long waits for effective treatment. Scientists in Sweden, Denmark, and Germany are developing a genetic test to predict which medications ...

Abstract: This study presents a simple algorithm for R-peak detection in single-lead electrocardiograms (ECG) acquired on the chest of various volunteers using a wearable device. To achieve a balance ...

mcp-agent's vision is that MCP is all you need to build agents, and that simple patterns are more robust than complex architectures for shipping high-quality agents.

Crispr’s ability to cut genetic code like scissors has just started to turn into medicines. Now, gene editing pioneer Jennifer Doudna wants to build an entire ecosystem to bring these treatments ...

Researchers headed by a team at the University of California, Irvine, Joe C. Wen School of Population & Public Health have built what they suggest is the first cell type-specific gene regulatory ...