AIMC Topic: Oxygen

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Reconstructing lost BOLD signal in individual participants using deep machine learning.

Nature communications Oct 7, 2020
Signal loss in blood oxygen level-dependent (BOLD) functional neuroimaging is common and can lead to misinterpretation of findings. Here, we reconstructed compromised fMRI signal using deep machine learning. We trained a model to learn principles gov...
Deep Learning Adolescent Image Processing, Computer-Assisted Magnetic Resonance Imaging Young Adult Adult Male Deep Brain Stimulation Humans Healthy Volunteers Female Datasets as Topic Cerebral Cortex Models, Neurological Parkinson Disease Brain Mapping Oxygen
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Machine learning assistive rapid, label-free molecular phenotyping of blood with two-dimensional NMR correlational spectroscopy.

Communications biology Sep 28, 2020
Translation of the findings in basic science and clinical research into routine practice is hampered by large variations in human phenotype. Developments in genotyping and phenotyping, such as proteomics and lipidomics, are beginning to address these...
Point-of-Care Testing Machine Learning Magnetic Resonance Spectroscopy Hemoglobins Blood Phenotype Erythrocytes Blood Proteins Blood Chemical Analysis Oxygen
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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...
Artificial Intelligence Time Factors Food Packaging Oxidation-Reduction Oxygen Wine Wood
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Assessing the biochemical oxygen demand using neural networks and ensemble tree approaches in South Korea.

Journal of environmental management Jun 5, 2020
The biochemical oxygen demand (BOD), one of widely utilized variables for water quality assessment, is metric for the ecological division in rivers. Since the traditional approach to predict BOD is time-consuming and inaccurate due to inconstancies i...
Republic of Korea Environmental Monitoring Oxygen Water Quality Rivers Biological Oxygen Demand Analysis Neural Networks, Computer
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Powerful, transferable representations for molecules through intelligent task selection in deep multitask networks.

Physical chemistry chemical physics : PCCP Jun 1, 2020
Chemical representations derived from deep learning are emerging as a powerful tool in areas such as drug discovery and materials innovation. Currently, this methodology has three major limitations - the cost of representation generation, risk of inh...
Oxygen Nitrogen Phosphorus Chlorine Iodine Metals Carbon Hydrogen Sulfur Fluorine Bromine Deep Learning
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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 ...
Zea mays Carbon Dioxide Lignin Brassica napus Temperature Biomass Oxidation-Reduction Oxygen Neural Networks, Computer
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Pulmonary Embolism in Acute Asthma Exacerbation: Clinical Characteristics, Prediction Model and Hospital Outcomes.

Lung May 18, 2020
PURPOSE: Little is known about the characteristics and impact of acute pulmonary embolism (PE) during episodes of asthma exacerbation. We aimed to characterize patients diagnosed with acute PE in the setting of asthma exacerbation, develop a predicti...
Fibrin Fibrinogen Degradation Products Computed Tomography Angiography Clinical Decision Rules Hospitals, University Heart Rate Natriuretic Peptide, Brain Humans Machine Learning Intensive Care Units Comorbidity Oxygen Asthma Female Case-Control Studies International Normalized Ratio Male Length of Stay Pulmonary Embolism Middle Aged Body Mass Index Aged Creatinine Disease Progression Adult
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Hybrid decision tree-based machine learning models for short-term water quality prediction.

Chemosphere Feb 11, 2020
Water resources are the foundation of people's life and economic development, and are closely related to health and the environment. Accurate prediction of water quality is the key to improving water management and pollution control. In this paper, t...
Humans Models, Statistical Decision Trees Oxygen Water Quality Water Pollution Rivers Machine Learning Temperature Water Environmental Monitoring
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Applications of Computer Modeling and Simulation in Cartilage Tissue Engineering.

Tissue engineering and regenerative medicine Oct 5, 2019
BACKGROUND: Advances in cartilage tissue engineering have demonstrated noteworthy potential for developing cartilage for implantation onto sites impacted by joint degeneration and injury. To supplement resource-intensive in vivo and in vitro studies ...
Stress, Mechanical Oxygen Tissue Engineering Machine Learning Bioreactors Tissue Scaffolds Computers Chondrocytes Computer Simulation Cartilage
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Artificial neural network analysis of the oxygen saturation signal enables accurate diagnostics of sleep apnea.

Scientific reports Sep 13, 2019
The severity of obstructive sleep apnea (OSA) is classified using apnea-hypopnea index (AHI). Accurate determination of AHI currently requires manual analysis and complicated registration setup making it expensive and labor intensive. Partially for t...
Sleep Apnea Syndromes Sleep Apnea, Obstructive Oximetry Middle Aged Oxygen Signal Processing, Computer-Assisted Humans Neural Networks, Computer Aged Adult
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