AIMC Topic: Hot Temperature

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Exploration of the prediction and generation patterns of heterocyclic aromatic amines in roast beef based on Genetic Algorithm combined with Support Vector Regression.

Food chemistry Aug 31, 2024
Heterocyclic aromatic amines (HAAs) are harmful byproducts in food heating. Therefore, exploring the prediction and generation patterns of HAAs is of great significance. In this study, genetic algorithm (GA) and support vector regression (SVR) are us...
Heterocyclic Compounds Amines Red Meat Hot Temperature Cattle Support Vector Machine Meat Products Cooking Meat Algorithms Animals
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Estimating the importance of environmental factors influencing the urban heat island for urban areas in Greece. A machine learning approach.

Journal of environmental management Aug 20, 2024
Cities Hot Temperature Greece Machine Learning
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Investigation of heat-induced pork batter quality detection and change mechanisms using Raman spectroscopy coupled with deep learning algorithms.

Food chemistry Aug 8, 2024
Pork batter quality significantly affects its product. Herein, this study explored the use of Raman spectroscopy combined with deep learning algorithms for rapidly detecting pork batter quality and revealing the mechanisms of quality changes during h...
Swine Deep Learning Spectrum Analysis, Raman Algorithms Animals Hot Temperature Meat Products Quality Control
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Exploring molecular mechanisms underlying changes in lipid fingerprinting of salmon (Salmo salar) during air frying integrating machine learning-guided REIMS and lipidomics analysis.

Food chemistry Aug 5, 2024
Lipid oxidation in air-fried seafood poses a risk to human health. However, the effect of a prooxidant environment on lipid oxidation in seafood at different air frying (AF) temperatures remains unknown. An integrated machine learning (ML) - guided R...
Oxidation-Reduction Lipid Metabolism Mass Spectrometry Lipids Machine Learning Lipidomics Animals Cooking Hot Temperature Salmo salar Seafood
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Machine learning-based analysis and prediction of meteorological factors and urban heatstroke diseases.

Frontiers in public health Jul 22, 2024
INTRODUCTION: Heatstroke is a serious clinical condition caused by exposure to high temperature and high humidity environment, which leads to a rapid increase of the core temperature of the body to more than 40°C, accompanied by skin burning, conscio...
Meteorological Concepts Incidence Forecasting Humidity Cities Humans China Hot Temperature Heat Stroke Machine Learning
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Design of Co-Cured Multi-Component Thermosets with Enhanced Heat Resistance, Toughness, and Processability via a Machine Learning Approach.

Macromolecular rapid communications Jul 17, 2024
Designing heat-resistant thermosets with excellent comprehensive performance has been a long-standing challenge. Co-curing of various high-performance thermosets is an effective strategy, however, the traditional trial-and-error experiments have long...
Silicon Hot Temperature Machine Learning Molecular Structure Polymers Materials Testing
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Numerical investigation of two-dimensional fuzzy fractional heat problem with an external source variable.

PloS one Jun 21, 2024
This study suggests a strategy for calculating the fuzzy analytical solutions to a two-dimensional fuzzy fractional-order heat problem including a diffusion variable connected externally. We propose Sawi residual power series scheme (SRPSS) which is ...
Models, Theoretical Fuzzy Logic Algorithms Hot Temperature
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Leveraging data science and machine learning for urban climate adaptation in two major African cities: a HEAT Center study protocol.

BMJ open Jun 18, 2024
INTRODUCTION: African cities, particularly Abidjan and Johannesburg, face challenges of rapid urban growth, informality and strained health services, compounded by increasing temperatures due to climate change. This study aims to understand the compl...
Humans Research Design Cities Machine Learning Satellite Imagery Heat Stress Disorders South Africa Hot Temperature Climate Change
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Artificial Intelligence-Powered Construction of a Microbial Optimal Growth Temperature Database and Its Impact on Enzyme Optimal Temperature Prediction.

The journal of physical chemistry. B Mar 4, 2024
Accurate prediction of enzyme optimal temperature (Topt) is crucial for identifying enzymes suitable for catalytic functions under extreme bioprocessing conditions. The optimal growth temperature (OGT) of microorganisms serves as a key indicator for ...
Hot Temperature Artificial Intelligence Temperature
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Peristaltic transport of Sutterby nanofluid flow in an inclined tapered channel with an artificial neural network model and biomedical engineering application.

Scientific reports Jan 4, 2024
Modern energy systems are finding new applications for magnetohydrodynamic rheological bio-inspired pumping systems. The incorporation of the electrically conductive qualities of flowing liquids into the biological geometries, rheological behavior, a...
Hot Temperature Biomedical Engineering Neural Networks, Computer Temperature Humans Motion
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