AIMC Topic: Oxidation-Reduction

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Synaptic Iontronic Devices for Brain-Mimicking Functions: Fundamentals and Applications.

ACS applied bio materials Sep 2, 2020
Inspired by the information transmission mechanism in the central nervous systems of life, synapse-mimicking devices have been designed and fabricated for the purpose of breaking the bottleneck of von Neumann architecture and realizing the constructi...
Synapses Oxidation-Reduction Transistors, Electronic Biomimetics Neural Networks, Computer Ions Ion Transport Artificial Organs Neuronal Plasticity
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Artificial Intelligence Methods for Constructing Wine Barrels with a Controlled Oxygen Transmission Rate.

Molecules (Basel, Switzerland) Jul 21, 2020
Oxygen is an important factor in the wine aging process, and the oxygen transmission rate (OTR) is the parameter of the wood that reflects its oxygen permeation. OTR has not been considered in the cooperage industry yet; however, recent studies propo...
Oxidation-Reduction Oxygen Wine Wood Artificial Intelligence Time Factors Food Packaging
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The proteome landscape of the kingdoms of life.

Nature Jun 17, 2020
Proteins carry out the vast majority of functions in all biological domains, but for technological reasons their large-scale investigation has lagged behind the study of genomes. Since the first essentially complete eukaryotic proteome was reported, ...
Protein Folding Protein Biosynthesis Photosynthesis Bacteroides Ion Transport Animals Homeostasis Glycolysis Peptides Proteolysis Proteomics Deep Learning Carbohydrate Metabolism Proteome Oxidation-Reduction Iron-Sulfur Proteins Chromatography Classification Species Specificity
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Machine-Learning-Enabled Exploration of Morphology Influence on Wire-Array Electrodes for Electrochemical Nitrogen Fixation.

The journal of physical chemistry letters May 29, 2020
Neural networks, trained on data generated by a microkinetic model and finite-element simulations, expand explorable parameter space by significantly accelerating the predictions of electrocatalytic performance. In addition to modeling electrode reac...
Machine Learning Oxidation-Reduction Electrochemical Techniques Nitrogen Neural Networks, Computer Electrodes Proof of Concept Study Nanowires
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A Comparison between Several Response Surface Methodology Designs and a Neural Network Model to Optimise the Oxidation Conditions of a Lignocellulosic Blend.

Biomolecules May 19, 2020
In this paper, response surface methodology (RSM) designs and an artificial neural network (ANN) are used to obtain the optimal conditions for the oxy-combustion of a corn-rape blend. The ignition temperature () and burnout index () were selected as ...
Temperature Biomass Oxidation-Reduction Oxygen Neural Networks, Computer Brassica napus Zea mays Carbon Dioxide Lignin
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Discovery of Small-Molecule Activators for Glucose-6-Phosphate Dehydrogenase (G6PD) Using Machine Learning Approaches.

International journal of molecular sciences Feb 23, 2020
Glucose-6-Phosphate Dehydrogenase (G6PD) is a ubiquitous cytoplasmic enzyme converting glucose-6-phosphate into 6-phosphogluconate in the pentose phosphate pathway (PPP). The G6PD deficiency renders the inability to regenerate glutathione due to lack...
NADP Pentose Phosphate Pathway Glucosephosphate Dehydrogenase Deficiency Drug Evaluation, Preclinical Catalytic Domain Glutathione X-Ray Diffraction Protein Interaction Domains and Motifs Glucosephosphate Dehydrogenase Molecular Docking Simulation Drug Discovery Oxidative Stress Oxidation-Reduction Humans Machine Learning Animals
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Modeling and optimization of imidacloprid degradation by catalytic percarbonate oxidation using artificial neural network and Box-Behnken experimental design.

Chemosphere Feb 19, 2020
Due to its toxicity and persistence, pesticide pollution poses a serious threat to human health and the environment. Imidacloprid or IMD is an archetypal neonicotinoid insecticide commonly used to protect a variety of crops worldwide. The present stu...
Research Design Oxidation-Reduction Catalysis Models, Chemical Oxidants Neonicotinoids Nitro Compounds Carbonates Neural Networks, Computer
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Antioxidant and Anti-inflammatory Diagnostic Biomarkers in Multiple Sclerosis: A Machine Learning Study.

Molecular neurobiology Jan 22, 2020
An imbalance of inflammatory/anti-inflammatory and oxidant/antioxidant molecules has been implicated in the demyelination and axonal damage in multiple sclerosis (MS). The current study aimed to evaluate the plasma levels of tumor necrosis factor (TN...
Middle Aged Oxidative Stress Antioxidants Nitric Oxide Inflammation Support Vector Machine Oxidation-Reduction Advanced Oxidation Protein Products Sulfhydryl Compounds Humans Female Nitrosative Stress Multiple Sclerosis Neural Networks, Computer Adult Receptors, Tumor Necrosis Factor Adiponectin Tumor Necrosis Factor-alpha Sensitivity and Specificity Biomarkers Male
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Exploring the limitations of biophysical propensity scales coupled with machine learning for protein sequence analysis.

Scientific reports Nov 15, 2019
Machine learning (ML) is ubiquitous in bioinformatics, due to its versatility. One of the most crucial aspects to consider while training a ML model is to carefully select the optimal feature encoding for the problem at hand. Biophysical propensity s...
Machine Learning Computational Biology Proteins Cysteine Oxidation-Reduction Biophysical Phenomena Sequence Analysis, Protein Amino Acids Solvents Propensity Score
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BP-ANN Model Coupled with Particle Swarm Optimization for the Efficient Prediction of 2-Chlorophenol Removal in an Electro-Oxidation System.

International journal of environmental research and public health Jul 10, 2019
Electro-oxidation is an effective approach for the removal of 2-chlorophenol from wastewater. The modeling of the electrochemical process plays an important role in improving the efficiency of electrochemical treatment and increasing our understandin...
Chlorophenols Electrochemical Techniques Wastewater Neural Networks, Computer Kinetics Water Purification Biological Oxygen Demand Analysis Water Pollutants, Chemical Oxidation-Reduction
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