The research fills a gap in standardized guidance for lipidomics/metabolomics data analysis, focusing on transparency and reproducibility using R and Python. The approach offers modular, interoperable ...

ABSTRACT: This study presents the Dynamic Multi-Objective Uncapacitated Facility Location Problem (DMUFLP) model, a novel and forward-thinking approach designed to enhance facility location decisions ...

ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...

This repository contains comprehensive implementations and solutions for statistical analysis, data science methodologies, and computational mathematics assignments. Each assignment demonstrates ...

eCentre for Reproductive Health, Institute for Regeneration and Repair, University of Edinburgh, Edinburgh, UK fCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK ...

Soon to be the official tool for managing Python installations on Windows, the new Python Installation Manager picks up where the ‘py’ launcher left off. Python is a first-class citizen on Microsoft ...

Abstract: Recently, deep learning network is introduced to terrain segmentation application in polarimetric synthetic aperture radar (PolSAR) images and has achieved remarkable performance. However, ...

1 Department of Otolaryngology Head and Neck Surgery, Hunan Provincial People's Hospital (First Affiliated Hospital of Hunan Normal University), Changsha, China 2 State Key Laboratory of Cognitive ...

Department of Chemical and Biological Engineering, University of Wisconsin, Madison, Wisconsin 53706, United States Department of Materials Science and Engineering, University of Wisconsin, Madison, ...

In my first presidential column in October, I highlighted interdisciplinary work between cognitive psychology and other subareas of psychology, focusing on work integrating social–emotional factors ...