AIMC Topic: Water

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Predicting mass transfer activation energy and physicochemical properties of dried onion using numerical modeling and artificial intelligence.

Scientific reports Jun 3, 2025
The quality of the onion slices was statistically evaluated based on the variables of drying conditions, considering the following characteristics: drying time, color, shrinkage, water activity, and rehydration ratio, critical parameters in evaluatin...
Temperature Water Ascorbic Acid Artificial Intelligence Onions Food Handling Desiccation
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Flow and heat transfer of Poly Dispersed SiO2 Nanoparticles in Aqueous Glycerol in a Horizontal pipe: Application of ensemble and evolutionary machine learning for model-prediction.

PloS one Jun 3, 2025
Stable nanofluid dispersion with SiO2 particles of 15, 50, and 100 nm is generated in a base liquid composed of water and glycerol in a 7:3 ratio and tested for physical characteristics in the temperature range of 20-100oC. The nanofluid showed excel...
Machine Learning Water Nanoparticles Models, Theoretical Hot Temperature Silicon Dioxide Glycerol
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Comparative study on antibacterial activities and removal of iron ions from water using novel modified sand with silver through the hydrothermal technique.

Scientific reports May 8, 2025
The hydrothermal-calcination technique was used to modify raw sand with silver (Ag) at different weight percentages: 2%, 5%, and 10% using silver nitrate. The raw and sand-coated Ag nanoparticle samples were analyzed using various techniques, includi...
X-Ray Diffraction Staphylococcus aureus Sand Spectroscopy, Fourier Transform Infrared Silver Microbial Sensitivity Tests Water Purification Silicon Dioxide Metal Nanoparticles Anti-Bacterial Agents Water Iron Escherichia coli Ions
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Engineering transverse cell deformation of bamboo by controlling localized moisture content.

Nature communications May 1, 2025
Bamboo's native structure, defined by the vertical growth pattern of its vascular bundles and parenchyma cell tissue, limits its application in advanced engineering materials. Here we show an innovative method that controls localized moisture content...
Temperature Water Poaceae Sasa
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Dynamics and Machine Learning Reveal the Link between Tripeptide Sequences and Evaporation-Driven Material Properties.

Nano letters Apr 27, 2025
Previous research showed that a peptide composed of three tyrosines (YYY) can turn into organic glass and cause strong adhesion between substrates via evaporation. However, the mechanisms of these processes remain unclear, and the exploration of appl...
Hydrogen Bonding Amino Acid Sequence Dimethylpolysiloxanes Hydrophobic and Hydrophilic Interactions Surface Properties Oligopeptides Peptides Water Molecular Dynamics Simulation Machine Learning
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Deep learning-based acceleration of muscle water T2 mapping in patients with neuromuscular diseases by more than 50% - translating quantitative MRI from research to clinical routine.

PloS one Apr 16, 2025
BACKGROUND: Quantitative muscle water T2 (T2w) mapping is regarded as a biomarker for disease activity and response to treatment in neuromuscular diseases (NMD). However, the implementation in clinical settings is limited due to long scanning times a...
Humans Female Young Adult Image Processing, Computer-Assisted Middle Aged Muscle, Skeletal Magnetic Resonance Imaging Deep Learning Adult Neuromuscular Diseases Water Male Muscular Dystrophy, Facioscapulohumeral
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Food Freshness Prediction Platform Utilizing Deep Learning-Based Multimodal Sensor Fusion of Volatile Organic Compounds and Moisture Distribution.

ACS sensors Mar 23, 2025
Various sensing methods have been developed for food spoilage research, but in practical applications, the accuracy of these methods is frequently constrained by the limitation of single-source data and challenges in cross-validating multimodal data....
Volatile Organic Compounds Water Cattle Spectrum Analysis, Raman Animals Deep Learning
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Dynamic glucose enhanced imaging using direct water saturation.

Magnetic resonance in medicine Mar 17, 2025
PURPOSE: Dynamic glucose enhanced (DGE) MRI studies employ CEST or spin lock (CESL) to study glucose uptake. Currently, these methods are hampered by low effect size and sensitivity to motion. To overcome this, we propose to utilize exchange-based li...
Adult Humans Algorithms Glucose Brain Neoplasms Brain Water Gray Matter Male Female Image Processing, Computer-Assisted White Matter Magnetic Resonance Imaging
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Current experimental, statistical, and mechanistic approaches to optimizing biomolecule separations in aqueous two-phase systems.

Journal of chromatography. A Mar 17, 2025
Aqueous two-phase systems (ATPS) have been used to purify a range of biomolecules, including small molecules, monoclonal antibodies, viruses, and whole cells. They are known for selective separations, creating a stabilizing, low-shear environment, an...
Models, Statistical Proteins Models, Chemical Thermodynamics Water
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Fast and Accurate Prediction of Tautomer Ratios in Aqueous Solution via a Siamese Neural Network.

Journal of chemical theory and computation Mar 16, 2025
Tautomerization plays a critical role in chemical and biological processes, influencing molecular stability, reactivity, biological activity, and ADME-Tox properties. Many drug-like molecules exist in multiple tautomeric states in aqueous solution, c...
Thermodynamics Neural Networks, Computer Deep Learning Water Isomerism Solutions
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