This valuable study analyzes aging-related chromatin changes through the lens of intra-chromosomal gene correlation length, which is a novel computational metric that captures spatial correlations in ...

Electromagnetic Spectrum (EMS) operations in contested environments require battlefield assumptions based on mission dependent factors and complex ...

The world is undergoing a digital transformation at an unprecedented pace, and artificial intelligence (AI) is at the forefront of ...

Production of global soil data predictions using scikit-map within the EO-SoilMapper framework. Target spatial resolution is 30 m (global coverage excluding deserts and permanent ice). Target period ...

Abstract: Crash probability predictions play a crucial role in integral vehicle safety. This paper presents an integrated approach for enhancing crash probability prediction in critical driving ...

A robust Python-based solution for decoding DPM (Direct Part Marking) Data Matrix codes from industrial images. This tool is specifically designed to handle challenging industrial environments with ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We introduce a new computational approach for predicting organic crystalline ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

"We recognize the complex interplay between cardiovascular and metabolic diseases, including type 2 diabetes and obesity, which require a personalized treatment approach," said Martin Holst Lange, ...

Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China Objectives: To study the characteristic factors associated with ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. When applying machine learning (ML) approaches for the prediction of bioactivity, it ...