A Meta-Model to Predict the Drag Coefficient of a Particle Translating in Viscoelastic Fluids: A Machine Learning Approach.

This study presents a framework based on Machine Learning (ML) models to predict the drag coefficient of a spherical particle translating in viscoelastic fluids. For the purpose of training and testing the ML models, two datasets were generated using direct numerical simulations (DNSs) for the viscoelastic unbounded flow of Oldroyd-B ( containing 12,120 data points) and Giesekus ( containing 4950 data points) fluids past a spherical particle. The kinematic input features were selected to be Reynolds number, 0 View Article and Find Full Text PDF

A poorer nutritional status impacts quality of life in a sample population of elderly cancer patients.

Rationale: Quality of Life (QoL) is impaired in cancer, and the elderly are particularly vulnerable to malnutrition. A diagnosis of cancer in elderly patients further exacerbates risks of negative health outcomes. Here we investigated associations between QoL and nutritional status in a sample population of mostly socially deprived elderly cancer patients.

Comparison of calorie and nutrient intake among elderly with and without sarcopenia: A systematic review and meta-analysis.

Context: Sarcopenia, besides having an impact on functional capacity, has been associated with increased hospitalization and mortality, and stands out as an essential cause of disability among older people.

Objective: We conducted a systematic review and meta-analysis of published studies comparing the calories and nutrients ingested by elderly people with and without sarcopenia.

Data Sources: MEDLINE/PubMed, Scopus, LILACS, Cochrane Library, and Scielo databases were searched.

The use of bioelectrical impedance vector analysis for a nutritional evaluation of older adults in the community.

Introduction: The body composition of an older adult person is characterized by an increase in body fat, as well as by a reduction in both muscle mass and total body water. The bioelectrical impedance vector analysis (BIVA) overcomes the limits imposed by bioelectrical impedance, since it only requires the resistance (R) and reactance (Xc) values, standardized by the individual's height, which makes the method more individualized and accurate. The aim of this study was to evaluate the body composition using the BIVA of the community-living older adults, with regard to sex and body mass index (BMI) classification, and compare the results with the reference population.

Sarcopenic obesity in community-dwelling older women, determined by different diagnostic methods.

Background: sarcopenic obesity (SO) decreases functional capacity, favors loss of autonomy, and is associated with increased mortality in the elderly. The prevalence of sarcopenic obesity differs according to the chosen diagnostic method and/or the population studied. Objective: to identify sarcopenic obesity in community-dwelling elderly women using different diagnostic methods.