AIMC Topic: Fatty Acids

Clear Filters Showing 11 to 20 of 45 articles

Predicting subacute ruminal acidosis from milk mid-infrared estimated fatty acids and machine learning on Canadian commercial dairy herds.

Journal of dairy science Jul 4, 2024
Our objective was to validate the possibility of detecting SARA from milk Fourier transform mid-infrared spectroscopy estimated fatty acids (FA) and machine learning. Subacute ruminal acidosis is a common condition in modern commercial dairy herds fo...
Female Animals Cattle Machine Learning Milk Acidosis Rumen Cattle Diseases Canada Fatty Acids
View on PubMed DOI

Machine learning predicts the serum PFOA and PFOS levels in pregnant women: Enhancement of fatty acid status on model performance.

Environment international Jun 19, 2024
Human exposure to per- and polyfluoroalkyl substances (PFASs) has received considerable attention, particularly in pregnant women because of their dramatic changes in physiological status and dietary patterns. Predicting internal PFAS exposure in pre...
Fluorocarbons Machine Learning Pregnancy Female Young Adult Humans Fatty Acids Adult Environmental Pollutants Alkanesulfonic Acids Caprylates
View on PubMed DOI

Integrating mid-infrared spectroscopy, machine learning, and graphical bias correction for fatty acid prediction in water buffalo milk.

Journal of the science of food and agriculture Apr 15, 2024
BACKGROUND: Buffalo milk, constituting 15% of global production, has higher fatty acids content than Holstein milk. Fourier-transform mid-infrared (FT-MIR) spectroscopy is widely used for dairy analysis, but its application to buffalo milk, with larg...
Spectroscopy, Fourier Transform Infrared Fatty Acids Buffaloes Machine Learning Animals Milk
View on PubMed DOI

Efficient interatomic descriptors for accurate machine learning force fields of extended molecules.

Nature communications Jun 15, 2023
Machine learning force fields (MLFFs) are gradually evolving towards enabling molecular dynamics simulations of molecules and materials with ab initio accuracy but at a small fraction of the computational cost. However, several challenges remain to b...
Machine Learning Molecular Dynamics Simulation Fatty Acids
View on PubMed DOI

Fully automatic resolution of untargeted GC-MS data with deep learning assistance.

Talanta Mar 26, 2022
DeepResolution (Deep learning-assisted multivariate curve Resolution) has been proposed to solve the co-eluting problem for GC-MS data. However, DeepResolution models must be retrained when encountering unknown components, which is undoubtedly time-c...
Gas Chromatography-Mass Spectrometry Mass Spectrometry Fatty Acids Humans Neural Networks, Computer Male Deep Learning
View on PubMed DOI

Cohort profile: Japanese human milk study, a prospective birth cohort: baseline data for lactating women, infants and human milk macronutrients.

BMJ open Dec 30, 2021
PURPOSE: The Japanese Human Milk Study, a longitudinal prospective cohort study, was set up to clarify how maternal health, nutritional status, lifestyle and sociodemographic and economic factors affect breastfeeding practices and human milk composit...
Japan Male Pregnancy Phospholipids Lactation Humans Infant Female Cohort Studies Breast Feeding Nutrients Cesarean Section Child Vitamin D Prospective Studies Fatty Acids Milk, Human Osteopontin Carbohydrates
View on PubMed DOI

The alterations of miRNA and mRNA expression profile and their integration analysis induced by silica nanoparticles in spermatocyte cells.

NanoImpact Aug 11, 2021
Air pollution and the application of Silica nanoparticles (SiNPs) have increased the risk of human exposure to SiNPs. SiNPs are known to induce cytotoxicity in spermatocyte cells (GC-2spd cells) of mice and male reproductive system damage. However, t...
Spermatocytes MicroRNAs Silicon Dioxide Animals Fatty Acids Male RNA, Messenger Nanoparticles
View on PubMed DOI

Reflectance spectroscopy with operator difference for determination of behenic acid in edible vegetable oils by using convolutional neural network and polynomial correction.

Food chemistry Jul 22, 2021
A novel polynomial correction method, order-adaptive polynomial correction (OAPC), was proposed to correct reflectance spectra with operator differences, and convolutional neural network (CNN) was used to develop analysis model to predict behenic aci...
Vegetables Spectrum Analysis Support Vector Machine Neural Networks, Computer Plant Oils Fatty Acids
View on PubMed DOI

Derivation, characterisation and analysis of an adverse outcome pathway network for human hepatotoxicity.

Toxicology Jul 10, 2021
Adverse outcome pathways (AOPs) and their networks are important tools for the development of mechanistically based non-animal testing approaches, such as in vitro and/or in silico assays, to assess toxicity induced by chemicals. In the present study...
Mitochondria, Liver Adverse Outcome Pathways Cell Death Fatty Acids Chemical and Drug Induced Liver Injury Oxidative Stress Treatment Outcome Humans Neural Networks, Computer Computer Simulation Risk Assessment
View on PubMed DOI

Enhancement of nutritional value of fried fish using an artificial intelligence approach.

Environmental science and pollution research international Mar 24, 2021
Frying affects the nutritional quality of fish detrimentally. In this study, using Catla catla and mustard oil, experiments were carried out in varying temperatures (140-240 °C), times (5-20 min), and oil amounts (25-100 ml/kg of fish) which establis...
Neural Networks, Computer Artificial Intelligence Animals Fatty Acids Nutritive Value Fatty Acids, Unsaturated
View on PubMed DOI
Popular Topics
Recent Journals