AIMC Topic: Water

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Application of automated electron microscopy imaging and machine learning to characterise and quantify nanoparticle dispersion in aqueous media.

Journal of microscopy Dec 18, 2019
For many nanoparticle applications it is important to understand dispersion in liquids. For nanomedicinal and nanotoxicological research this is complicated by the often complex nature of the biological dispersant and ultimately this leads to severe ...
Biophysical Phenomena Dynamic Light Scattering Ferric Compounds Automation Microscopy, Electron Nanoparticles Machine Learning Software Culture Media Water Workflow Image Processing, Computer-Assisted
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'Emulsion locks' for the containment of hydrocarbons during surfactant flushing.

Journal of environmental sciences (China) Dec 18, 2019
Reversible double water in oil in water (W/O/W) emulsions were developed to contain subsurface hydrocarbon spills during their remediation using surfactant flushing. Double emulsions were prepared by emulsifying CaCl solutions in canola oil, and subs...
Emulsions Water Hydrocarbons Surface-Active Agents Sodium Dodecyl Sulfate
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Soft detection of 5-day BOD with sparse matrix in city harbor water using deep learning techniques.

Water research Dec 4, 2019
To better control and manage harbor water quality is an important mission for coastal cities such as New York City (NYC). To achieve this, managers and governors need keep track of key quality indicators, such as temperature, pH, and dissolved oxygen...
Humans Machine Learning Cities New York City Deep Learning Water
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Artificial Intelligence Steering Molecular Therapy in the Absence of Information on Target Structure and Regulation.

Journal of chemical information and modeling Dec 4, 2019
Protein associations are at the core of biological activity, and the drug-based disruption of dysfunctional associations poses a major challenge to targeted therapy. The problem becomes daunting when the structure and regulated modulation of the comp...
Artificial Intelligence Databases, Protein Phosphorylation Molecular Targeted Therapy Water Computational Biology Proteins
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An overview of deep learning algorithms and water exchange in colonoscopy in improving adenoma detection.

Expert review of gastroenterology & hepatology Nov 30, 2019
: Among the Gastrointestinal (GI) Endoscopy Editorial Board top 10 topics in advances in endoscopy in 2018, water exchange colonoscopy and artificial intelligence were both considered important advances. Artificial intelligence holds the potential to...
Humans Adenomatous Polyps Reproducibility of Results Deep Learning Colonic Neoplasms Colonoscopy Water Colonic Polyps Diagnosis, Computer-Assisted Predictive Value of Tests Image Interpretation, Computer-Assisted
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Contamination source identification in water distribution networks using convolutional neural network.

Environmental science and pollution research international Nov 19, 2019
Contamination source identification (CSI) is significant for water quality security and social stability when a contamination intrusion event occurs in water distribution systems (WDSs). However, in research, this is an extremely challenging task for...
Neural Networks, Computer Algorithms Water Water Quality Water Supply
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Predicting O-Water PET cerebral blood flow maps from multi-contrast MRI using a deep convolutional neural network with evaluation of training cohort bias.

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism Nov 13, 2019
To improve the quality of MRI-based cerebral blood flow (CBF) measurements, a deep convolutional neural network (dCNN) was trained to combine single- and multi-delay arterial spin labeling (ASL) and structural images to predict gold-standard O-water ...
Water Image Processing, Computer-Assisted Magnetic Resonance Imaging Middle Aged Adolescent Oxygen Radioisotopes Models, Biological Positron-Emission Tomography Cerebrovascular Circulation Data Analysis Female Algorithms Reproducibility of Results Brain Aged Humans Neural Networks, Computer Young Adult Adult Male
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Incorporating Explicit Water Molecules and Ligand Conformation Stability in Machine-Learning Scoring Functions.

Journal of chemical information and modeling Oct 31, 2019
Structure-based drug design is critically dependent on accuracy of molecular docking scoring functions, and there is of significant interest to advance scoring functions with machine learning approaches. In this work, by judiciously expanding the tra...
Molecular Conformation Machine Learning Molecular Docking Simulation Small Molecule Libraries Proteins Humans Drug Design Databases, Protein Water Ligands Protein Binding
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ℓ-gain filter design of discrete-time positive neural networks with mixed delays.

Neural networks : the official journal of the International Neural Network Society Oct 25, 2019
This paper mainly focuses on the filter design with ℓ-gain disturbance attenuation performance for a class of discrete-time positive neural networks. Discrete and distributed time-varying delays occurring in neuron transmission are taken into account...
Computer Simulation Water Gene Regulatory Networks Neural Networks, Computer Models, Biological Programming, Linear
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Downscaling satellite soil moisture using geomorphometry and machine learning.

PloS one Sep 24, 2019
Annual soil moisture estimates are useful to characterize trends in the climate system, in the capacity of soils to retain water and for predicting land and atmosphere interactions. The main source of soil moisture spatial information across large ar...
Satellite Imagery Machine Learning Soil Reproducibility of Results Water Environmental Monitoring Remote Sensing Technology
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