AIMC Topic: Methanol

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Machine Learning-Enhanced Chemiresistive Sensors for Ultra-Sensitive Detection of Methanol Adulteration in Alcoholic Beverages.

ACS sensors Jun 11, 2025
Methanol poisoning poses significant health risks, particularly in less developed countries, where adulterated alcoholic beverages often lead to severe morbidity and mortality. Current diagnostic methods, such as gas-liquid chromatography and blood g...
Machine Learning Food Contamination Methanol Graphite Alcoholic Beverages Principal Component Analysis Limit of Detection Metal-Organic Frameworks
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Transition from sulfur autotrophic to mixotrophic denitrification: Performance with different carbon sources, microbial community and artificial neural network modeling.

Chemosphere Sep 30, 2024
To address the limitations inherent in both sulfur autotrophic denitrification (SAD) and heterotrophic denitrification (HD) processes, this study introduces a novel approach. Three carbon sources (glucose, methanol, and sodium acetate) were fed into ...
Nitrogen Sodium Acetate Denitrification Carbon Neural Networks, Computer Glucose Bioreactors Nitrates Sulfur Methanol Autotrophic Processes Heterotrophic Processes Microbiota
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Explainable artificial intelligence (XAI) for predicting the need for intubation in methanol-poisoned patients: a study comparing deep and machine learning models.

Scientific reports Jul 8, 2024
The need for intubation in methanol-poisoned patients, if not predicted in time, can lead to irreparable complications and even death. Artificial intelligence (AI) techniques like machine learning (ML) and deep learning (DL) greatly aid in accurately...
Machine Learning Female Adult Humans Artificial Intelligence ROC Curve Methanol Iran Male Middle Aged Deep Learning Intubation, Intratracheal
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Prediction of acute methanol poisoning prognosis using machine learning techniques.

Toxicology Mar 6, 2024
Methanol poisoning is a global public health concern, especially prevalent in developing nations. This study focuses on predicting the severity of methanol intoxication using machine learning techniques, aiming to improve early identification and pro...
Male Middle Aged Methanol Iran Poisoning Female Young Adult Adult Prognosis Retrospective Studies Humans Machine Learning
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Protocol for the design and accelerated optimization of a waste-to-energy system using AI tools.

STAR protocols Oct 30, 2023
Amid a surge in waste volume, the need to achieve sustainable waste treatment has become increasingly important. Here, we present a protocol for the design and accelerated optimization of a waste-to-energy system using artificial intelligence tools. ...
Artificial Intelligence Methanol
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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...
Acetone Carcinoma Humans Seeds Plant Extracts Ethanol Methanol
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Capturing the potential energy landscape of large size molecular clusters from atomic interactions up to a 4-body system using deep learning.

Physical chemistry chemical physics : PCCP Nov 18, 2022
Exploring the structure and properties of molecular clusters with accuracy using the methods is a resource intensive task due to the increasing cost of the methods and the number of distinct conformers as the size increases. The energy landscape of...
Methanol Deep Learning Hydrogen
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Determination of quetiapine and its metabolites in plasma by field-enhanced sample stacking.

Journal of food and drug analysis Dec 15, 2021
Quetiapine is an atypical antipsychotic drug that can be used to treat mental disorders, including schizophrenia, bipolar disorder and Alzheimer's disease. Quetiapine is mainly converted into the active metabolites of norquetiapine and 7-hydroxyqueti...
Thiazepines Electrophoresis, Capillary Quetiapine Fumarate Humans Piperazines Methanol
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Application of recurrent neural network for online prediction of cell density of recombinant Pichia pastoris producing HBsAg.

Preparative biochemistry & biotechnology Feb 1, 2019
Artificial neural networking (ANN) seems to be a promising soft sensor for implementing current approaches of quality by design (QbD) and process analytical technologies (PAT) in the biopharmaceutical industry. In this study, we aimed to implement be...
Neural Networks, Computer Biomass Hepatitis B virus Recombinant Proteins Bioreactors Methanol Bacterial Load Pichia Hepatitis B Surface Antigens Fermentation
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Functional expression of porcine interferon-α using a combinational strategy in Pichia pastoris GS115.

Enzyme and microbial technology Dec 10, 2018
Porcine interferon-α (pIFN-α) could be used as the vaccine adjuvant to enhance the antiviral ability of porcine in swine industry. In here, a combinational strategy integrating codon optimization, multiple gene insertion, strong AOX1 promoter, and ef...
Fermentation Pichia Vesiculovirus Methanol Animals Interferon-alpha Swine Cell Line Gene Expression Bioreactors Cattle Antiviral Agents Recombinant Proteins
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