AIMC Topic: Temperature
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Neuro-computational simulation of blood flow loaded with gold and maghemite nanoparticles inside an electromagnetic microchannel under rapid and unexpected change in pressure gradient.
Electromagnetic biology and medicine
Jan 29, 2025
In cardiovascular research, electromagnetic fields generated by Riga plates are utilized to study or manipulate blood flow dynamics, which is particularly crucial in developing treatments for conditions such as arterial plaque deposition and understa...
Optimization of dried garlic physicochemical properties using a self-organizing map and the development of an artificial intelligence prediction model.
Scientific reports
Jan 24, 2025
The experiments were conducted at different levels of infrared power, airflow, and temperature. The relationships between the input process factors and response factors' physicochemical properties of dried garlic were optimized by a self-organizing m...
Machine learning to identify environmental drivers of phytoplankton blooms in the Southern Baltic Sea.
Scientific reports
Jan 24, 2025
Phytoplankton blooms exhibit varying patterns in timing and number of peaks within ecosystems. These differences in blooming patterns are partly explained by phytoplankton:nutrient interactions and external factors such as temperature, salinity and l...
Understanding the low-temperature drying process of sludge with machine learning in a sewage-source heat pump drying system.
Journal of environmental management
Jan 23, 2025
Heat pump drying technology based on sewage heat source is an eco-friendly sludge drying method. It can effectively reduce the pollution of natural water bodies by waste heat while reducing energy consumption. However, the drying characteristics of s...
Multigas Identification by Temperature-Modulated Operation of a Single Anodic Aluminum Oxide Gas Sensor Platform and Deep Learning Algorithm.
ACS sensors
Jan 20, 2025
Semiconductor metal oxide (SMO) gas sensors are gaining prominence owing to their high sensitivity, rapid response, and cost-effectiveness. These sensors detect changes in resistance resulting from oxidation-reduction reactions with target gases, res...
The application of design of experiments and artificial neural networks in the evaluation of the impact of acidic conditions on cloud point extraction.
Journal of chromatography. A
Jan 17, 2025
This study aimed to analyze the impact of acidic conditions on the recovery of ciprofloxacin and levofloxacin for cloud point extraction with the Design of Experiments and Artificial Neural Networks. The design included 27 experiments featuring three...
Machine learning analysis of rivaroxaban solubility in mixed solvents for application in pharmaceutical crystallization.
Scientific reports
Jan 17, 2025
This study investigates the use of machine learning models to predict solubility of rivaroxaban in binary solvents based on temperature (T), mass fraction (w), and solvent type. Using a dataset with over 250 data points and including solvents encoded...
Machine learning and spatio-temporal analysis of meteorological factors on waterborne diseases in Bangladesh.
PLoS neglected tropical diseases
Jan 16, 2025
BACKGROUND: Bangladesh is facing a formidable challenge in mitigating waterborne diseases risk exacerbated by climate change. However, a comprehensive understanding of the spatio-temporal dynamics of these diseases at the district level remains elusi...
XIS-temperature: A daily spatiotemporal machine-learning model for air temperature in the contiguous United States.
Environmental research
Jan 12, 2025
The challenge of reconstructing air temperature for environmental applications is to accurately estimate past exposures even where monitoring is sparse. We present XGBoost-IDW Synthesis for air temperature (XIS-Temperature), a high-resolution machine...
The ANFIS-RSM based multi-objective optimization and modelling of ultrasound-assisted extraction of polyphenols from jamun fruit (Syzygium cumini).
Ultrasonics sonochemistry
Jan 12, 2025
Given their potential as natural substitutes for artificial additives and their health advantages, the extraction of bioactive substances like polyphenols from plant sources is becoming more and more significant. Nevertheless, it is still difficult t...
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