AIMC Topic: Temperature

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A Roadmap to Holographic Focused Ultrasound Approaches for Generating Gradient Thermal Patterns.

International journal for numerical methods in biomedical engineering
In therapeutic focused ultrasound (FUS), such as thermal ablation and hyperthermia, effective acousto-thermal manipulation requires precise targeting of complex geometries, sound wave propagation through irregular structures, and selective focusing a...

Multidimensional computational strategies enhance the thermostability of alpha-galactosidase.

International journal of biological macromolecules
Alpha-Galactosidase has significant industrial application value in food processing, animal nutrition and medical applications. Microbial-derived α-galactosidases predominate industrial implementation due to high productivity, yet their inherent ther...

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

Journal of biophotonics
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...

CirnetamorNet: An ultrasonic temperature measurement network for microwave hyperthermia based on deep learning.

SLAS technology
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...

Discriminative Detection for Multiple Volatile Organic Compounds via Dynamic Temperature Modulation Based on Mixed Potential Gas Sensor.

ACS sensors
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...

AdapTree: Data-Driven Approach to Assessing Plant Stress Through the AI-Sensor Synergy.

Sensors (Basel, Switzerland)
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...

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
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 ...

A Multichannel Continuum Robot for Diagnosis and Treatment of Vascular Lesions.

ACS biomaterials science & engineering
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...

Snow Height Sensors Reveal Phenological Advance in Alpine Grasslands.

Global change biology
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...

Seq2Topt: a sequence-based deep learning predictor of enzyme optimal temperature.

Briefings in bioinformatics
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,...