Metabolic Fluxes Using Deep Learning Based on Enzyme Variations: .

Metabolic pathway modeling, essential for understanding organism metabolism, is pivotal in predicting genetic mutation effects, drug design, and biofuel development. Enhancing these modeling techniques is crucial for achieving greater prediction accuracy and reliability. However, the limited experimental data or the complexity of the pathway makes it challenging for researchers to predict phenotypes.

Maximizing nutrient removal: unveiling the influence of biomass retention time in revolving algae biofilm reactor.

This study introduces a novel Revolving Algae Biofilm reactor for synthetic wastewater treatment, examining the influence of various biomass retention times (BRTs) on nutrient removal performance. The study reveals complex interactions between microalgae and bacteria, emphasizing their symbiotic functions in oxygen provision, nutrient absorption, and floc creation. This research contributes to the advancement of sustainable wastewater treatment methods, showing promise for large-scale nutrient removal in industrial settings.

A multi-channel bioimpedance-based device for Vietnamese hand gesture recognition.

This study addresses the growing importance of hand gesture recognition across diverse fields, such as industry, education, and healthcare, targeting the often-neglected needs of the deaf and dumb community. The primary objective is to improve communication between individuals, thereby enhancing the overall quality of life, particularly in the context of advanced healthcare. This paper presents a novel approach for real-time hand gesture recognition using bio-impedance techniques.

Prevalence of Kaposi sarcoma in the United States: SEER cross-sectional study.

Primary Kaposi sarcoma (KS) is a rare cancer caused by human herpesvirus-8 that most often affects people with compromised immune systems. Since knowledge of the relationship between disease and sociodemographic factors contributes to the development of precision medicine, we investigated the prevalence of KS within the US population. Using SEER, we found that the Black population had the highest prevalence rate in 2018 compared to other racial groups.