AIMC Topic: Ethanol
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Uncertainty Quantification in Estimating Blood Alcohol Concentration From Transdermal Alcohol Level With Physics-Informed Neural Networks.
IEEE transactions on neural networks and learning systems
Oct 5, 2023
We develop an approach to estimate a blood alcohol signal from a transdermal alcohol signal using physics-informed neural networks (PINNs). Specifically, we use a generative adversarial network (GAN) with a residual-augmented loss function to estimat...
Extracts of Jamun seeds inhibited the growth of human (Hep-2) cancer cells.
Journal of cancer research and therapeutics
Apr 7, 2023
INTRODUCTION: In the last century, the human laryngeal epithelioma has become a life-threatening disease leading to a high rate of mortality worldwide. The current investigation is focusing on the antiproliferative effect of Eugenia jambolana seed ex...
How people reason with counterfactual and causal explanations for Artificial Intelligence decisions in familiar and unfamiliar domains.
Memory & cognition
Mar 24, 2023
Few empirical studies have examined how people understand counterfactual explanations for other people's decisions, for example, "if you had asked for a lower amount, your loan application would have been approved". Yet many current Artificial Intell...
Prediction of ethanol fermentation under stressed conditions using yeast morphological data.
Journal of bioscience and bioengineering
Jan 13, 2023
A high sugar concentration is used as a starting condition in alcoholic fermentation by budding yeast, which shows changes in intracellular state and cell morphology under conditions of high-sugar stress. In this study, we developed artificial intell...
Audio-based Deep Learning Algorithm to Identify Alcohol Inebriation (ADLAIA).
Alcohol (Fayetteville, N.Y.)
Dec 28, 2022
BACKGROUND: Acute alcohol intoxication impairs cognitive and psychomotor abilities leading to various public health hazards such as road traffic accidents and alcohol-related violence. Intoxicated individuals are usually identified by measuring their...
Prediction of biphasic separation in CO absorption using a molecular surface information-based machine learning model.
Environmental science. Processes & impacts
Dec 14, 2022
Carbon dioxide capture technologies have become a focus to overcome global warming. Biphasic absorbents are one of the promising approaches for energy-saving CO capture processes. These biphasic absorbents are mainly composed of a mixed solvent compo...
Development and validation of the Alcoholic Beverage Identification Deep Learning Algorithm version 2 for quantifying alcohol exposure in electronic images.
Alcoholism, clinical and experimental research
Oct 15, 2022
BACKGROUND: Seeing alcohol in media has been demonstrated to increase alcohol craving, impulsive decision-making, and hazardous drinking. Due to the exponential growth of (social) media use it is important to develop algorithms to quantify alcohol ex...
Liver enzymes, alcohol consumption and the risk of diabetes: the Suita study.
Acta diabetologica
Aug 16, 2022
AIM: We aimed to investigate the combined impact of liver enzymes and alcohol consumption on the diabetes risk.
Editorial for "Cognitive Challenges Are Better in Distinguishing Binge From Nonbinge Drinkers: An Exploratory Deep-Learning Study of fMRI Data of Multiple Behavioral Tasks and Resting State".
Journal of magnetic resonance imaging : JMRI
Jul 13, 2022
Cognitive Challenges Are Better in Distinguishing Binge From Nonbinge Drinkers: An Exploratory Deep-Learning Study of fMRI Data of Multiple Behavioral Tasks and Resting State.
Journal of magnetic resonance imaging : JMRI
Jul 9, 2022
BACKGROUND: Studies have identified imaging markers of binge drinking. Functional connectivity during both task challenges and resting state was shown to distinguish binge and nonbinge drinkers. However, no studies have compared the efficacy of task ...
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