AIMC Topic: Temperature
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Analysis of phthalate plasticizer migration from PVDC packaging materials to food simulants using molecular dynamics simulations and artificial neural network.
Food chemistry
Feb 22, 2020
Based on the experimental data of gas chromatography-mass spectrometry, an improved artificial neural network was first established to predict the migration of 2-ethylhexyl phthalate (DEHP) plasticizer from poly(vinylidene chloride) (PVDC) into food ...
Development of an artificial neural network model to simulate the growth of microalga Chlorella vulgaris incorporating the effect of micronutrients.
Journal of biotechnology
Feb 22, 2020
Artificial neural network (ANN) models can be trained to simulate the dynamic behavior of biological systems. In the present study, an ANN model was developed upon multilayer perceptron neural network architecture with 23-20-1 configuration to predic...
Hybrid decision tree-based machine learning models for short-term water quality prediction.
Chemosphere
Feb 11, 2020
Water resources are the foundation of people's life and economic development, and are closely related to health and the environment. Accurate prediction of water quality is the key to improving water management and pollution control. In this paper, t...
Predicting Forage Quality of Warm-Season Legumes by Near Infrared Spectroscopy Coupled with Machine Learning Techniques.
Sensors (Basel, Switzerland)
Feb 6, 2020
Warm-season legumes have been receiving increased attention as forage resources in the southern United States and other countries. However, the near infrared spectroscopy (NIRS) technique has not been widely explored for predicting the forage quality...
Assessment of Laying Hens' Thermal Comfort Using Sound Technology.
Sensors (Basel, Switzerland)
Jan 14, 2020
Heat stress is one of the most important environmental stressors facing poultry production and welfare worldwide. The detrimental effects of heat stress on poultry range from reduced growth and egg production to impaired health. Animal vocalisations ...
A new backpropagation neural network classification model for prediction of incidence of malaria.
Frontiers in bioscience (Landmark edition)
Jan 1, 2020
Malaria is an infectious disease caused by parasitic protozoans of the Plasmodium family. These parasites are transmitted by mosquitos which are common in certain parts of the world. Based on their specific climates, these regions have been classifie...
Fate of pirlimycin and antibiotic resistance genes in dairy manure slurries in response to temperature and pH adjustment.
The Science of the total environment
Dec 26, 2019
Quantifying the fate of antibiotics and antibiotic resistance genes (ARGs) in response to physicochemical factors during storage of manure slurries will aid in efforts to reduce the spread of resistance when manure is land-applied. The objectives of ...
Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network.
BMC bioinformatics
Dec 24, 2019
BACKGROUND: The occurrence of cotton pests and diseases has always been an important factor affecting the total cotton production. Cotton has a great dependence on environmental factors during its growth, especially climate change. In recent years, m...
Evaluation of the effect of Lactobacillus sakei strain L115 on Listeria monocytogenes at different conditions of temperature by using predictive interaction models.
Food research international (Ottawa, Ont.)
Dec 23, 2019
In this study, the inhibitory capacity of Lactobacillus sakei strain L115 against Listeria monocytogenes has been assayed at 4, 8, 11, 15 and 20 °C in broth culture. Besides, the use of predictive microbiology models for describing growth of both mic...
Ceftolozane-tazobactam in an elastomeric infusion device for ambulatory care: an in vitro stability study.
European journal of hospital pharmacy : science and practice
Dec 16, 2019
OBJECTIVES: Published in vitro stability data for ceftolozane-tazobactam supports intermittent short duration infusions. This method of delivery is not feasible for many outpatient antimicrobial therapy services that provide only one or two visits pe...
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