AIMC Topic: Temperature

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A Novel Diffusion Irradiation Method to Monitor Thermal Effects on Deep Subcutaneous Vessels Using Laser Speckle Contrast Imaging.

Journal of biophotonics Jun 1, 2025
This study aims to investigate the effects of upper skin layers on laser light propagation and heat diffusion during laser surgery for vascular dermatosis. Using a rat dorsal window chamber model, deep-situated vessels are irradiated by a transcutane...
Male Deep Learning Rats Temperature Animals Subcutaneous Tissue Blood Vessels Laser Speckle Contrast Imaging Rats, Sprague-Dawley Skin Diffusion
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CirnetamorNet: An ultrasonic temperature measurement network for microwave hyperthermia based on deep learning.

SLAS technology Jun 1, 2025
OBJECTIVE: Microwave thermotherapy is a promising approach for cancer treatment, but accurate noninvasive temperature monitoring remains challenging. This study aims to achieve accurate temperature prediction during microwave thermotherapy by efficie...
Neural Networks, Computer Temperature Deep Learning Microwaves Hyperthermia, Induced Thermometry Humans
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Discriminative Detection for Multiple Volatile Organic Compounds via Dynamic Temperature Modulation Based on Mixed Potential Gas Sensor.

ACS sensors May 23, 2025
Gas sensors combined with artificial intelligence capable of distinguishing multiple odors hold great promise in volatile organic compounds (VOCs) discriminative detection. However, various issues such as large size, high expenses, and mutual interfe...
1-Propanol Acetone Gases Pentanes Machine Learning Odorants Wavelet Analysis Butadienes Temperature Volatile Organic Compounds Hemiterpenes
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AdapTree: Data-Driven Approach to Assessing Plant Stress Through the AI-Sensor Synergy.

Sensors (Basel, Switzerland) May 16, 2025
This study investigates plant stress assessment by integrating advanced sensor technologies and Artificial Intelligence (AI). Multi-sensor data-including electrical impedance spectroscopy, temperature, and humidity-were used to capture plant physiolo...
Temperature Biosensing Techniques Plants Artificial Intelligence Machine Learning Humidity Stress, Physiological Dielectric Spectroscopy Plant Physiological Phenomena
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Amazon's climate crossroads: analyzing air pollution and health impacts under machine learning-based temperature increase scenarios in Northern Mato Grosso, Brazil.

Environmental geochemistry and health May 14, 2025
Air pollution has long been a public health concern in South America, now increasingly linked to climate change. In Brazil, this issue is particularly acute in smaller cities with limited monitoring infrastructure. Sinop, located in the Amazon biome ...
Particulate Matter Seasons Climate Change Air Pollution Ozone Health Impact Assessment Temperature Brazil Public Health Cities Environmental Monitoring Air Pollutants Humans Machine Learning
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A Multichannel Continuum Robot for Diagnosis and Treatment of Vascular Lesions.

ACS biomaterials science & engineering May 12, 2025
In recent years, continuum soft robots have emerged as a promising avenue for the advancement of therapeutic interventions. However, the current continuum robots are often limited to singular functionalities and exhibit a deficiency in diagnostic ca...
Vasculitis Polymers Temperature Sciatic Nerve Animals Robotics
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Snow Height Sensors Reveal Phenological Advance in Alpine Grasslands.

Global change biology May 1, 2025
Long-term phenological data in alpine regions are often limited to a few locations and thus, little is known about climate-change-induced plant phenological shifts above the treeline. Because plant growth initiation in seasonally snow-covered regions...
Switzerland Seasons Climate Change Temperature Grassland Snow Plant Development
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Seq2Topt: a sequence-based deep learning predictor of enzyme optimal temperature.

Briefings in bioinformatics Mar 4, 2025
An accurate deep learning predictor is needed for enzyme optimal temperature (${T}_{opt}$), which quantitatively describes how temperature affects the enzyme catalytic activity. In comparison with existing models, a new model developed in this study,...
Temperature Deep Learning Computational Biology Hydrogen-Ion Concentration Enzymes
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Spatiotemporal Variation Assessment and Improved Prediction Of Cyanobacteria Blooms in Lakes Using Improved Machine Learning Model Based on Multivariate Data.

Environmental management Mar 1, 2025
Cyanobacterial blooms in shallow lakes pose a significant threat to aquatic ecosystems and public health worldwide, highlighting the urgent need for advanced predictive methodologies. As impounded lakes along the Eastern Route of the South-to-North W...
Machine Learning Environmental Monitoring Remote Sensing Technology Seasons Eutrophication Temperature Lakes Cyanobacteria Spatio-Temporal Analysis
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Prediction of the Appropriate Temperature and Pressure for Polymer Dissolution Using Machine Learning Models.

Molecular informatics Feb 1, 2025
The widespread use of polymer solutions in the chemical industry poses a significant challenge in determining optimal dissolution conditions. Traditionally, researchers have relied on experimental methods to estimate the processing parameters needed ...
Solubility Solvents Pressure Temperature Polymers Neural Networks, Computer Machine Learning Algorithms
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