AIMC Topic: Temperature

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Combination of artificial neural network and genetic algorithm method for modeling of methylene blue adsorption onto wood sawdust from water samples.

Toxicology and industrial health
The aim of this research was to develop a low price and environmentally friendly adsorbent with abundant of source to remove methylene blue (MB) from water samples. Sawdust solid-phase extraction coupled with high-performance liquid chromatography wa...

Beetle-inspired responsive photonic microgel assemblies for multi-sensing enhanced by machine learning.

Biosensors & bioelectronics
Bioinspired photonic hydrogels hold promise as sensors; however, their use in triple-analyte sensing optical devices has been minimally explored. Temperature, serum Fe levels, and X-ray doses are critical factors for predicting and monitoring medical...

Analysis of the influence of climate change on wetland evolution and its driving process from an integrated perspective of landscape connectivity and fragmentation.

Journal of environmental management
The evolution of wetland ecosystems from the perspectives of landscape connectivity and fragmentation is a critical interdisciplinary topic in contemporary wetland science and landscape ecology. In the context of global warming, the mechanisms by whi...

Data-driven insights for enhanced cellulose conversion to 5-hydroxymethylfurfural using machine learning.

Bioresource technology
Converting cellulose into 5-Hydroxymethylfurfural (HMF) provides a promising strategy for creating bio-based chemicals, offering sustainable alternatives to petroleum-based materials in polymers, biofuels, and pharmaceuticals. However, the efficient ...

Data-Driven Estimates of High-Resolution Soil HONO Emissions in China from 2000 to 2020.

Environmental science & technology
Soil nitrous acid (HONO) emissions influence air quality by affecting atmospheric oxidizing capacity and secondary pollutant formation. However, estimating soil HONO emissions remains uncertain due to complex factors and limited data. Here, we presen...

Machine learning predicting sintering temperature for ceramsite production from multiple solid wastes.

Waste management (New York, N.Y.)
An efficient machine learning model was developed to accurately predict the sintering temperature of ceramsite synthesized from various solid waste materials. Based on experimental data from 236 samples, eight key chemical components were defined as ...

Dual-Mode Temperature-Pressure MXene Sensor for Enhanced Firefighter Safety and Deep Learning-Enhanced Smart Gloves.

ACS applied materials & interfaces
Dual-mode sensors capable of detecting multiple physical stimuli simultaneously offer significant advantages for advanced applications in human-machine interaction, robotics, and healthcare. However, the flammability of conventional materials limits ...

Homeostasis: Stay cool but keep on breathing.

Current biology : CB
Homeostatic control of neural networks is based on monitoring the activity level of neurons and adjusting excitability. A recent study demonstrates that the physical environment per se (temperature) can directly regulate the neural circuits underlyin...

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...