Integrating CNN and Bi-LSTM for protein succinylation sites prediction based on Natural Language Processing technique.

Protein succinylation, a post-translational modification wherein a succinyl group (-CO-CH₂-CH₂-CO-) attaches to lysine residues, plays a critical regulatory role in cellular processes. Dysregulated succinylation has been implicated in the onset and progression of various diseases, including liver, cardiac, pulmonary, and neurological disorders. However, identifying succinylation sites through experimental methods is often labor-intensive, costly, and technically challenging.

Intelligent mobile robot for contagious disease treatments in hospitals.

This paper provides a novel and applicable work that builds a real system for disinfecting the air and surfaces of the environment in a hospital room, with a non-contact measurement system for supporting contagious disease treatments in hospitals. The system is built on an intelligent mobile robot system that operates autonomously in a simulated real treatment room. The research team uses a new positioning algorithm.

Access to online business opportunities: Enhancing digital technology capacity for women with disabilities in the Red River Delta of Vietnam.

This study investigates the digital technology capacity of women with disabilities and the impact of access to digital business opportunities on their entrepreneurial satisfaction. A sample of 50 women with disabilities in the Red River Delta region of Vietnam provided 35 valid responses, which were analyzed using Exploratory Factor Analysis and Structural Equation Modeling. The results showed that five key factors, including course relevance, course expectancy, instructor quality, learning outcomes, and course satisfaction, accounted for 78.

A Narrative Review of Commercial Platforms Offering Tracking of Heart Rate Variability in Corporate Employees to Detect and Manage Stress.

The COVID-19 pandemic has resulted in employees being at risk of significant stress. There is increased interest by employers to offer employees stress monitoring via third party commercial sensor-based devices. These devices assess physiological parameters such as heart rate variability and are marketed as an indirect measure of the cardiac autonomic nervous system.

Student Behavior Recognition System for the Classroom Environment Based on Skeleton Pose Estimation and Person Detection.

Human action recognition has attracted considerable research attention in the field of computer vision, especially for classroom environments. However, most relevant studies have focused on one specific behavior of students. Therefore, this paper proposes a student behavior recognition system based on skeleton pose estimation and person detection.