AIMC Topic: Ethanol
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Production of Bioactive Substances to Alleviates Hangover and Ethanol-Induced Liver Damage through Fermentation of Using .
Molecules (Basel, Switzerland)
Feb 9, 2022
The purpose of this study is to evaluate the effect of the bioconversion products of extract fermented by (OEFL) on relieving hangovers and improving liver function. In addition, the bioactive substance of the OEFL, which alleviates hangover and et...
Enzymatic extraction and functional properties of phosphatidylcholine from chicken liver.
Poultry science
Dec 30, 2021
An environmentally sustainable method to extract phosphatidylcholine (PC) from chicken liver (PCCL) and its functional properties were studied. The extraction times, enzymatic hydrolysis time, the solid-liquid ratio as well as types of enzymes (prota...
Deep Learning for Identification of Alcohol-Related Content on Social Media (Reddit and Twitter): Exploratory Analysis of Alcohol-Related Outcomes.
Journal of medical Internet research
Sep 15, 2021
BACKGROUND: Many social media studies have explored the ability of thematic structures, such as hashtags and subreddits, to identify information related to a wide variety of mental health disorders. However, studies and models trained on specific the...
Artificial Intelligence Assisted Ultrasonic Extraction of Total Flavonoids from .
Molecules (Basel, Switzerland)
Jun 23, 2021
Flavonoids in were studied. The flavonoids in were extracted by ultrasonic method, and the extraction conditions were modeled and optimized by response the surface methodology and the artificial intelligence method. The results show that the ultras...
Machine learning applied for metabolic flux-based control of micro-aerated fermentations in bioreactors.
Biotechnology and bioengineering
Mar 17, 2021
Various bio-based processes depend on controlled micro-aerobic conditions to achieve a satisfactory product yield. However, the limiting oxygen concentration varies according to the micro-organism employed, while for industrial applications, there is...
Detection of prenatal alcohol exposure using machine learning classification of resting-state functional network connectivity data.
Alcohol (Fayetteville, N.Y.)
Mar 11, 2021
Fetal Alcohol Spectrum Disorder (FASD), a wide range of physical and neurobehavioral abnormalities associated with prenatal alcohol exposure (PAE), is recognized as a significant public health concern. Advancements in the diagnosis of FASD have been ...
Machine learning uncovers independently regulated modules in the Bacillus subtilis transcriptome.
Nature communications
Dec 11, 2020
The transcriptional regulatory network (TRN) of Bacillus subtilis coordinates cellular functions of fundamental interest, including metabolism, biofilm formation, and sporulation. Here, we use unsupervised machine learning to modularize the transcrip...
Hybrid neural network modeling and particle swarm optimization for improved ethanol production from cashew apple juice.
Bioprocess and biosystems engineering
Sep 29, 2020
A hybrid neural model (HNM) and particle swarm optimization (PSO) was used to optimize ethanol production by a flocculating yeast, grown on cashew apple juice. HNM was obtained by combining artificial neural network (ANN), which predicted reaction sp...
High spatially sensitive quantitative phase imaging assisted with deep neural network for classification of human spermatozoa under stressed condition.
Scientific reports
Aug 4, 2020
Sperm cell motility and morphology observed under the bright field microscopy are the only criteria for selecting a particular sperm cell during Intracytoplasmic Sperm Injection (ICSI) procedure of Assisted Reproductive Technology (ART). Several fact...
Using machine learning for real-time BAC estimation from a new-generation transdermal biosensor in the laboratory.
Drug and alcohol dependence
Aug 1, 2020
BACKGROUND: Transdermal biosensors offer a noninvasive, low-cost technology for the assessment of alcohol consumption with broad potential applications in addiction science. Older-generation transdermal devices feature bulky designs and sparse sampli...
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