AIMC Topic: Ethanol

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The Classification of VOCs Based on Sensor Images Using a Lightweight Neural Network for Lung Cancer Diagnosis.

Sensors (Basel, Switzerland)
The application of artificial intelligence to point-of-care testing (POCT) disease detection has become a hot research field, in which breath detection, which detects the patient's exhaled VOCs, combined with sensor arrays of convolutional neural net...

CuO/TiO/MXene-Based Sensor and SMS-TENG Array Integrated Inspection Robots for Self-Powered Ethanol Detection and Alarm at Room Temperature.

ACS sensors
In this study, a high-precision CuO/TiO/MXene ethanol sensor operating at room temperature was prepared. The sensor exhibits excellent response value (95% @1 ppm ethanol), extremely low detection limit (0.3 ppm), fast response/recovery time (16/13 s)...

Sensitivity Evaluation of Enveloped and Non-enveloped Viruses to Ethanol Using Machine Learning: A Systematic Review.

Food and environmental virology
Viral diseases are a severe public health issue worldwide. During the coronavirus pandemic, the use of alcohol-based sanitizers was recommended by WHO. Enveloped viruses are sensitive to ethanol, whereas non-enveloped viruses are considerably less se...

CHARACTERISATION OF RESORBABLE AND NON- RESORBABLE SUTURES COATED WITH Punica granatum SEED EXTRACT: AN in vitro PILOT STUDY.

The journal of evidence-based dental practice
BACKGROUND: In order to achieve uneventful and rapid healing of the tissues, a suture material should be biocompatible, easy to handle, sterile, and have good and uniform tensile strength. Hence, in the present study, characterization of the suture m...

Uncertainty Quantification in Estimating Blood Alcohol Concentration From Transdermal Alcohol Level With Physics-Informed Neural Networks.

IEEE transactions on neural networks and learning systems
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
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
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
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.)
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
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...