Journal of the American Chemical Society
Mar 4, 2026
Oxygenated block polymers, comprising esters and carbonates, are priority materials to replace petrochemical polymers in a circular plastics economy. These materials should repopulate the thermomechanical property space mapped by current plastics and... read more
The relationship between abdominal body composition and chronic kidney disease (CKD) is well-documented. In this study, we aimed to investigate the association between CKD and abdominal fat volume assessed using deep neural network architecture. This... read more
Retinitis Pigmentosa (RP) is a rare genetic retinal disorder characterized by the progressive degeneration of rod and cone photoreceptors, leading to vision impairment and eventual blindness. This study investigates the application of state-of-the-ar... read more
This study presents an intelligent personalized garment customization system that integrates deep learning methodologies. The system employs a microservices architecture to unify four core modules: body measurement data extraction, style preference l... read more
Botnet detection remains a perennial and critical challenge in cybersecurity. As long as the internet exists, threat actors will devise new ways to create and disguise these malicious networks, making the development of robust detection methods a tas... read more
Cognitive Radio Networks (CRNs) are essential for improving spectrum efficiency in 5G and beyond; however, their open and adaptive nature makes them highly vulnerable to jamming attacks. The purpose of this work is to develop an anti-jamming framewor... read more
Rapid and accurate identification of pollution sources is critical for emergency management but remains challenged by the high computational cost and uncertainty of traditional numerical models. To address this, this study aims to develop a novel hyb... read more
Accurate tree species classification from remote sensing data, such as LiDAR point clouds, is important for various applications, including vegetation monitoring and forest growth prediction. Although numerous machine learning algorithms are used wid... read more
Traffic crashes involving pedestrians tend to result in the most casualties (minor, serious, or fatal). Therefore, accurately determining the level of responsibility in a pedestrian crash is crucial, as liability can lead to civil, administrative, or... read more
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.