AIMC Topic: Water

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Performance evaluation of nanotubular halloysites from weathered pegmatites in removing heavy metals from water through novel artificial intelligence-based models and human-based optimization algorithm.

Chemosphere Jun 3, 2021
The efforts of this study aimed to evaluate the feasibility of the nanotubular halloysites in weathered pegmatites (NaHWP) for removing heavy metals (i.e., Cd, Pb) from water. Furthermore, two novel intelligent models, such as teaching-learning-based...
Humans Water Metals, Heavy Clay Artificial Intelligence Algorithms
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SolTranNet-A Machine Learning Tool for Fast Aqueous Solubility Prediction.

Journal of chemical information and modeling May 26, 2021
While accurate prediction of aqueous solubility remains a challenge in drug discovery, machine learning (ML) approaches have become increasingly popular for this task. For instance, in the Second Challenge to Predict Aqueous Solubility (SC2), all gro...
Water Machine Learning Solubility Software
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Artificial neural networks in tandem with molecular descriptors as predictive tools for continuous liposome manufacturing.

International journal of pharmaceutics May 18, 2021
The current study utilized an artificial neural network (ANN) to generate computational models to achieve process optimization for a previously developed continuous liposome manufacturing system. The liposome formation was based on a continuous manuf...
Software Water Liposomes Particle Size Neural Networks, Computer
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Neural Network Analysis of Electron Microscopy Video Data Reveals the Temperature-Driven Microphase Dynamics in the Ions/Water System.

Small (Weinheim an der Bergstrasse, Germany) May 3, 2021
Real-time field-emission scanning electron microscopy (FE-SEM) measurements and neural network analysis were successfully merged to observe the temperature-induced behavior of soft liquid microdomains in mixtures of different ionic liquids with water...
Ions Microscopy, Electron, Scanning Temperature Water Neural Networks, Computer
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Semi-Automated Data Processing and Semi-Supervised Machine Learning for the Detection and Classification of Water-Column Fish Schools and Gas Seeps with a Multibeam Echosounder.

Sensors (Basel, Switzerland) Apr 24, 2021
Multibeam echosounders are widely used for 3D bathymetric mapping, and increasingly for water column studies. However, they rapidly collect huge volumes of data, which poses a challenge for water column data processing that is often still manual and ...
Water Schools Supervised Machine Learning Reproducibility of Results Animals
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Early Coaching to Increase Water Intake in CKD.

Annals of nutrition & metabolism Mar 29, 2021
INTRODUCTION: In observational studies, increased water intake improves kidney function but not in adults with CKD stage 3 and more. CKD WIT trial has shown a nonsignificant gradual decline in kidney function after 1 year of coaching to increase wate...
Drinking Behavior Mentoring Glomerular Filtration Rate Middle Aged Drinking Disease Progression Female Kidney Water Humans Male Renal Insufficiency, Chronic Prospective Studies
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Effects of a 14-Day Hydration Intervention on Individuals with Habitually Low Fluid Intake.

Annals of nutrition & metabolism Mar 29, 2021
BACKGROUND: Debate continues over whether or not individuals with low total water intake (TWI) are in a chronic fluid deficit (i.e., low total body water) [1]. When women with habitually low TWI (1.6 ± 0.5 L/da...
Electric Impedance Humans Organism Hydration Status Osmolar Concentration Male Female Water Body Water Adult Drinking Dehydration
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The Influence of Fluid Intake Behavior on Cognition and Mood among College Students in Baoding, China.

Annals of nutrition & metabolism Mar 29, 2021
INTRODUCTION: Water is a critical nutrient, and it is important for the maintenance of the physiological function of the human body [1-3]. In addition to fluid amounts, f...
Humans Affect Female Health Behavior Male Students Young Adult Double-Blind Method Water Drinking Behavior China Diet, Healthy Drinking Osmolar Concentration Cognition Adolescent Universities
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Tuning the reversibility of hair artificial muscles by disulfide cross-linking for sensors, switches, and soft robotics.

Materials horizons Mar 25, 2021
Tensile and torsional artificial muscles from biocompatible and biodegradable materials are highly desired for soft robotics, sensors, and controllers in bio-related applications. Twisted fibers can be used to prepare tensile and torsional artificial...
Rotation Disulfides Muscle Fibers, Skeletal Water Robotics
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On the estimation of sugars concentrations using Raman spectroscopy and artificial neural networks.

Food chemistry Feb 24, 2021
In this paper, we present an analysis of the performance of Raman spectroscopy, combined with feed-forward neural networks (FFNN), for the estimation of concentration percentages of glucose, sucrose, and fructose in water solutions. Indeed, we analys...
Support Vector Machine Least-Squares Analysis Linear Models Sugars Discriminant Analysis Neural Networks, Computer Water Spectrum Analysis, Raman
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