(spidroins) through long-read transcriptomics across a broad phylogenetic range, with theoretical implications for protein family evolution, biomaterials, and silk biology. By identifying putative ...

This important study advances a new computational approach to measure and visualize gene expression specificity across different tissues and cell types. The framework is potentially helpful for ...

Abstract: In this paper, we present a method for the automatic generation of dashboards (DBo) using a genetic algorithm (GA). A DBo is a set of visualizations, with possible linkage, intended to help ...

This project implements an advanced Virtual Machine Placement (VMP) optimization system that leverages multi-objective genetic algorithms, machine learning predictions, blockchain technology, and ...

RNA interference using small interfering RNAs (siRNAs) has become a mainstay of functional gene characterization and has generated over a dozen FDA-approved therapeutics and drugs in late-stage ...

Efficient traffic signal control is crucial for reducing congestion and improving vehicle flow in urban areas. This project implements a Genetic Algorithm (GA) to optimize traffic light timings using ...

Imagine watching an embryo form in real time, each cell dividing, moving, and finding its place. Today’s advanced microscopes can capture these frames—but turning them into accurate, usable maps of ...

TITLE: How Much Will It Cost to Survive Climate Change? Detailed Estimates and AI Imagery for Constructing Climate Change Communities in the Virginia Highlands ...

ABSTRACT: Supply chain networks, which integrate nodes such as suppliers, manufacturers, and retailers to achieve efficient coordination and allocation of resources, serve as a critical component in ...