AIMC Topic: Temperature

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Mathematical modeling and numerical simulation of supercritical processing of drug nanoparticles optimization for green processing: AI analysis.

PloS one Sep 4, 2024
In recent decades, unfavorable solubility of novel therapeutic agents is considered as an important challenge in pharmaceutical industry. Supercritical carbon dioxide (SCCO2) is known as a green, cost-effective, high-performance, and promising solven...
Support Vector Machine Temperature Carbon Dioxide Nanoparticles Green Chemistry Technology Models, Theoretical Solubility Artificial Intelligence Computer Simulation
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Valorization of tomato processing by-products: Predictive modeling and optimization for ultrasound-assisted lycopene extraction.

Ultrasonics sonochemistry Aug 30, 2024
Lycopene is a carotenoid highly valuable to the food, pharmaceutical, dye, and cosmetic industries, present in ripe tomatoes and other fruits with a distinctive red color. The main source of lycopene is tomato crops. This bioactive component can be s...
Solanum lycopersicum Lycopene Chemical Fractionation Food Handling Ultrasonic Waves Carotenoids Neural Networks, Computer Temperature
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Unraveling the Influence of Satellite-Observed Land Surface Temperature on High-Resolution Mapping of Ground-Level Ozone Using Interpretable Machine Learning.

Environmental science & technology Aug 27, 2024
Accurately mapping ground-level ozone concentrations at high spatiotemporal resolution (daily, 1 km) is essential for evaluating human exposure and conducting public health assessments. This requires identifying and understanding a proxy that is well...
Ozone Temperature Air Pollutants Humans China Machine Learning Environmental Monitoring
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Yield prediction for crops by gradient-based algorithms.

PloS one Aug 26, 2024
A timely and consistent assessment of crop yield will assist the farmers in improving their income, minimizing losses, and deriving strategic plans in agricultural commodities to adopt import-export policies. Crop yield predictions are one of the var...
Agriculture Oryza Crops, Agricultural Algorithms Temperature Machine Learning
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Modeling and Optimization of Ellagic Acid from Chebulae Fructus Using Response Surface Methodology Coupled with Artificial Neural Network.

Molecules (Basel, Switzerland) Aug 21, 2024
The dried ripe fruit of Retz. is a common Chinese materia medica, and ellagic acid (EA), isolated from the plant, is an important bioactive component for medicinal purposes. This study aimed to delineate the optimal extraction parameters for extract...
Plant Extracts Ethanol Ellagic Acid Terminalia Fruit Neural Networks, Computer Temperature
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Exploring the response and prediction of phytoplankton to environmental factors in eutrophic marine areas using interpretable machine learning methods.

The Science of the total environment Aug 17, 2024
Coastal marine areas are frequently affected by human activities and face ecological and environmental threats, such as algal blooms and climate change. The community structure of phytoplankton-primary producers in marine ecosystems-is highly sensiti...
Climate Change Salinity Environmental Monitoring Machine Learning Phytoplankton Ecosystem Eutrophication Temperature
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Zero-Biased Bionic Fingertip E-Skin with Multimodal Tactile Perception and Artificial Intelligence for Augmented Touch Awareness.

Advanced materials (Deerfield Beach, Fla.) Aug 11, 2024
Electronic skins (E-Skins) are crucial for future robotics and wearable devices to interact with and perceive the real world. Prior research faces challenges in achieving comprehensive tactile perception and versatile functionality while keeping syst...
Touch Perception Skin, Artificial Touch Bionics Neural Networks, Computer Artificial Intelligence Wearable Electronic Devices Fingers Temperature Humans
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Machine learning modeling of thermally assisted biodrying process for municipal sludge.

Waste management (New York, N.Y.) Aug 10, 2024
Preparation of activated carbons is an important way to utilize municipal sludge (MS) resources, while drying is a pretreatment method for making activated carbons from MS. In this study, machine learning techniques were used to develop moisture rati...
Machine Learning Bayes Theorem Sewage Composting Temperature Models, Theoretical
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Investigating the impact of climate variables on the organic honey yield in Turkey using XGBoost machine learning.

Journal of the science of food and agriculture Aug 9, 2024
BACKGROUND: The Turkish organic honey industry, a major player in the global market, faces challenges due to climate fluctuations. Understanding the influence of climate factors on honey production is vital for sustainable farming and economic stabil...
Wind Animals Turkey Machine Learning Temperature Humidity Bees Organic Agriculture Climate Change Beekeeping Honey
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Predicting the pulse of urban water demand: a machine learning approach to deciphering meteorological influences.

BMC research notes Aug 9, 2024
OBJECTIVE: This study delves into the impact of urban meteorological elements-specifically, air temperature, relative humidity, and atmospheric pressure-on water consumption in Kamyaran city. Data on urban water consumption, temperature (in Celsius),...
Seasons Temperature Atmospheric Pressure Water Water Supply Humans Cities Humidity Meteorological Concepts Machine Learning
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