Waist circumference, among metabolic syndrome components, predicts degraded trabecular bone score: a retrospective study of a female population from the 2005-2008 NHANES cohorts.

Background: Osteoporosis and metabolic syndrome (MetS) are conditions associated with ageing and chronic inflammation; among MetS' components, visceral obesity has been correlated to low bone mineral density in postmenopausal women. However, data on an increased fracture risk in MetS are still contrasting. The trabecular bone score (TBS) is an indicator of bone quality and a potential predictive factor for fractures.

ESM-scan-A tool to guide amino acid substitutions.

Protein structure prediction and (re)design have gone through a revolution in the last 3 years. The tremendous progress in these fields has been almost exclusively driven by readily available machine learning algorithms applied to protein folding and sequence design problems. Despite these advancements, predicting site-specific mutational effects on protein stability and function remains an unsolved problem.

The Relationship Between Nurses' Digital Health Literacy and Their Educational Levels, Professional Roles, and Digital Attitudes: A Cluster Analysis Based on a Cross-Sectional Study.

Aim: The current study aimed to identify digital health literacy levels among nurses with respect to their education, role and attitude towards digital technologies.

Design: Cross-sectional study.

Methods: Through convenience sampling, all Registered Nurses, managers/leaders and nurse researchers employed in Hospitals, University Hospitals and Districts were recruited and surveyed using an online questionnaire.