AIMC Topic: Time Factors

Clear Filters Showing 1271 to 1280 of 2001 articles

Effect of a short-term physical activity intervention on liver fat content in obese children.

Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme
Nonalcoholic fatty liver disease is the most common chronic liver disease and can present with advanced fibrosis or nonalcoholic steatohepatitis. The purpose of this study was to investigate the effect of a 7-day intense physical activity interventio...

Phase Relationship between DLMO and Sleep Onset and the Risk of Metabolic Disease among Normal Weight and Overweight/Obese Adults.

Journal of biological rhythms
Circadian misalignment is hypothesized to contribute to increased diabetes and obesity among shift workers and individuals with late sleep timing. Accordingly, the goal of our study was to identify-among normal and overweight/obese adults-association...

Seven-Month Prostate-Specific Antigen Is Prognostic in Metastatic Hormone-Sensitive Prostate Cancer Treated With Androgen Deprivation With or Without Docetaxel.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology
Purpose We evaluated the relationship between prostate-specific antigen (PSA) and overall survival in the context of a prospectively randomized clinical trial comparing androgen-deprivation therapy (ADT) plus docetaxel with ADT alone for initial meta...

Antibacterial Activity of Ethanolic Extract of L. Leaves against Foodborne Pathogens and Application as Food Sanitizer.

BioMed research international
The aim of this study was to determine antibacterial activity of L. leaves extract foodborne pathogens. All the foodborne pathogens were inhibited after treating with extract in disk diffusion test with range 6.67 ± 0.58-9.67 ± 0.58 mm of inhibitio...

Multistability and multiperiodicity in impulsive hybrid quaternion-valued neural networks with mixed delays.

Neural networks : the official journal of the International Neural Network Society
The existence of multiple exponentially stable equilibrium states and periodic solutions is investigated for Hopfield-type quaternion-valued neural networks (QVNNs) with impulsive effects and both time-dependent and distributed delays. Employing Brou...

Stability of infliximab solutions in different temperature and dilution conditions.

Journal of pharmaceutical and biomedical analysis
Infliximab is a monoclonal antibody widely used for the treatment of inflammatory diseases. Over the past few years, many studies have assessed that monoclonal antibodies are prone to aggregation under stress conditions. The aim of this study was to ...

Nitric oxide-releasing injectable hydrogels with high antibacterial activity through in situ formation of peroxynitrite.

Acta biomaterialia
UNLABELLED: Nitric oxide (NO) is an endogenous molecule with many critical biological functions that depend on its concentration. At high levels, NO provides broad-spectrum antibacterial effects through both its pathogen inhibition and killing abilit...

Verification and large scale clinical evaluation of a national standard protocol for Salmonella spp./Shigella spp. screening using real-time PCR combined with guided culture.

Journal of microbiological methods
Salmonella spp./Shigella spp. are often associated with food poisoning and fecal-oral transmission of acute gastroenteritis that requires strict monitoring, especially among people who would handle food and water. In 2014, the National Health and Fam...

Fast and easy extraction of antidepressants from whole blood using ionic liquids as extraction solvent.

Talanta
This study aims to prove that ionic liquids (ILs) can be used as extraction solvents in a liquid-liquid microextraction, coupled to LC-MS/MS, for the quantification of a large group of antidepressants in whole blood samples. The sample preparation pr...

Forecasting influenza-like illness dynamics for military populations using neural networks and social media.

PloS one
This work is the first to take advantage of recurrent neural networks to predict influenza-like illness (ILI) dynamics from various linguistic signals extracted from social media data. Unlike other approaches that rely on timeseries analysis of histo...