Introduction Rapid development of technologies increases the possibility of technological enhancements of human beings, e.g., in their cognitive skills or physical fitness.Attitudes Wall Clocks towards such enhancements may result in their social acceptance or rejection.Material and methods One hundred and thirty-nine young Polish adults participat
Association of salivary C-reactive protein with the obesity measures and markers in children
Vaithinathan Selvaraju,1 Jeganathan Ramesh Babu,1,2 Thangiah Geetha1,21Department of Nutrition, Dietetics, and Hospitality Management, Auburn University, Auburn, AL, USA; 2Boshell Metabolic Diseases and Diabetes Program, Auburn University, Auburn, AL, USAObjective: Overweight and obesity is a pro-inflammatory state.This study aimed to examine the l
Serotonin Alters the Phase Equilibrium of a Ternary Mixture of Phospholipids and Cholesterol
Unsaturated and saturated phospholipids tend to laterally segregate, especially in the presence of cholesterol.Small molecules such as neurotransmitters, toxins, drugs etc.possibly modulate this lateral segregation.The small aromatic neurotransmitter serotonin (5-HT) has been found to bind to membranes.We studied the lipid structure and packing of
Associations between dietary patterns and depression and anxiety in middle-aged adults: A large cross-sectional analysis among Iranian manufacturing employees
Cards Background: Workers have to spend a substantial proportion of their income on foods and despite the high prevalence of stress among them, little is known about the association of dietary patterns and mental health disorders in this group.We examined whether dietary patterns are associated with depression and anxiety risk in the Iranian worker
The role of ontologies in machine learning: a case study of gene ontology
Introduction.Ontologies as knowledgebases have been heavily applied in computational biological studies by implementing into ML models for purposes such as disease-gene associations identification.Method.We conduct a case study using gene ontology (GO) annotation data and three ML models to replicate Pre-Rolled the prediction of autism spectrum dis