Big data and human height: Scientists develop algorithm to boost biobank data retrieval and analysis

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...
IEEE

Multi-Objective Genetic Algorithms in Designing Redundant Water Distribution Systems

Abstract: Water supply and distribution systems are critical infrastructures whose design heavily influences the operating conditions during unexpected demands. Rapid urbanization, increasing leakage ...
Frontiers

Multi-objective optimization of a multiphase pump booster unit for enhanced hydraulic performance

1 Key Laboratory of Fluid and Power Machinery, Xihua University, Ministry of Education, Chengdu, China 2 State Key Laboratory of Hydroscience and Department of Energy and Power Engineering, Tsinghua ...
GitHub

InfiniteBoyEric/Multi-UAV-Path-Planning-for-Urban-Air-Mobility

This repo involves approach based on bio-inspired algorithms to solve the MATLAB and Simulink Challenge Project - Multi-UAV Path Planning for Urban Air Mobility. There is more information in this ...
BioSpace

Allelica Launches AbsoluteDx: The Most Comprehensive Genetic Risk Assessment, Combining Monogenic and Polygenic Insights Across Multiple Diseases

SAN FRANCISCO, Oct. 9, 2025 /PRNewswire/ -- Allelica, the global leader in clinical polygenic risk score (PRS) testing, today announced the launch of AbsoluteDx, a comprehensive, clinical genetic test ...
IEEE

Irregular Element Selection for Intelligent Reflecting Surface with Mutual Coupling Using Multi-Objective Genetic Algorithm

Abstract: This paper investigates the irregular intelligent reflecting surface (IRS) topology with a focus on mitigating the mutual coupling effect on the IRS and aiming to improve the received signal ...
Frontiers

Multi-objective optimization of full depth reclamation with Portland cement using NSGA-II for sustainable pavement rehabilitation

Multi-objective optimization was performed using the NSGA-II algorithm, yielding a set of Pareto-optimal solutions. The TOPSIS method was subsequently applied to evaluate the Pareto-optimal solutions, ...
GEN

Proteogenomics Algorithm Improves the Detection of Hidden Genetic Mutations

Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...