Cardiovascular Disorder Risk Assessment Among Police Personnel in Bengaluru City, India, Using World Health Organization/International Society of Hypertension Risk Prediction Chart.

Context Cardiovascular diseases (CVDs) are important causes of premature death and disability and elevated healthcare costs. A significant percentage of this morbidity and mortality could be prevented by population-based strategies and cost-effective interventions for those at risk and with established diseases. Aim This study aims to estimate the 10-year risk of cardiovascular events (fatal or non-fatal) among police personnel in Bengaluru City, India.

Improved Protein Real-Valued Distance Prediction Using Deep Residual Dense Network (DRDN).

Three-dimensional protein structure prediction is one of the major challenges in bioinformatics. According to recent research findings, real-valued distance prediction plays a vital role in determining the unique three-dimensional protein structure. This paper proposes a novel methodology involving a deep residual dense network (DRDN) for predicting protein real-valued distance.

Improved 3-D Protein Structure Predictions using Deep ResNet Model.

Protein Structure Prediction (PSP) is considered to be a complicated problem in computational biology. In spite of, the remarkable progress made by the co-evolution-based method in PSP, it is still a challenging and unresolved problem. Recently, along with co-evolutionary relationships, deep learning approaches have been introduced in PSP that lead to significant progress.