AIMC Topic: Oxygen

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Prescreening and Triage of COVID-19 Patients Through Chest X-Ray Images Using Deep Learning Model.

Big data Sep 13, 2022
Deep learning models deliver a fast diagnosis during triage prescreening for COVID-19 patients, reducing waiting time for hospital admission during health emergency scenarios. The Ministry of health and family welfare government of India provides gui...
Triage Oxygen X-Rays Deep Learning India Humans COVID-19
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Multi-input multi-output temporal convolutional network for predicting the long-term water quality of ocean ranches.

Environmental science and pollution research international Sep 1, 2022
The prediction of water quality parameters is of great significance to the control of marine environments and provides a scientific decision-making basis for maintaining the stability of water environments and ensuring the normal survival and growth ...
Oxygen Water Quality Oceans and Seas Neural Networks, Computer Forecasting
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Early prediction of noninvasive ventilation failure after extubation: development and validation of a machine-learning model.

BMC pulmonary medicine Aug 8, 2022
BACKGROUND: Noninvasive ventilation (NIV) has been widely used in critically ill patients after extubation. However, NIV failure is associated with poor outcomes. This study aimed to determine early predictors of NIV failure and to construct an accur...
Oxygen Respiratory Insufficiency Airway Extubation Reproducibility of Results Respiration, Artificial Noninvasive Ventilation Machine Learning Intensive Care Units Humans
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Controlled Formation of Conduction Channels in Memristive Devices Observed by X-ray Multimodal Imaging.

Advanced materials (Deerfield Beach, Fla.) Aug 3, 2022
Neuromorphic computing provides a means for achieving faster and more energy efficient computations than conventional digital computers for artificial intelligence (AI). However, its current accuracy is generally less than the dominant software-based...
Multimodal Imaging Oxygen X-Rays Neural Networks, Computer Artificial Intelligence
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Machine learning-based inverse design for electrochemically controlled microscopic gradients of O and HO.

Proceedings of the National Academy of Sciences of the United States of America Aug 1, 2022
A fundamental understanding of extracellular microenvironments of O and reactive oxygen species (ROS) such as HO, ubiquitous in microbiology, demands high-throughput methods of mimicking, controlling, and perturbing gradients of O and HO at microscop...
Hydrogen Peroxide Reactive Oxygen Species Oxygen Machine Learning Electrochemistry Cellular Microenvironment
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Predicting the oxidation states of Mn ions in the oxygen-evolving complex of photosystem II using supervised and unsupervised machine learning.

Photosynthesis research Jul 27, 2022
Serial Femtosecond Crystallography at the X-ray Free Electron Laser (XFEL) sources enabled the imaging of the catalytic intermediates of the oxygen evolution reaction of Photosystem II (PSII). However, due to the incoherent transition of the S-states...
Electron Spin Resonance Spectroscopy Photosystem II Protein Complex Oxygen Ions Unsupervised Machine Learning Oxidation-Reduction Water
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Intelligent Measurement and Analysis of Sewage Treatment Parameters based on Fuzzy Neural Algorithm with ARM9 Core CPU.

Computational intelligence and neuroscience Jul 18, 2022
After entering the new century, the state continues to increase the construction of urban sewage treatment projects in response to the deteriorating water pollution situation. How to collect and analyze the sewage parameter variables in the sewage tr...
Nitrates Oxygen Sewage Nitrogen Algorithms Fuzzy Logic
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Oxygen delivery in pediatric cardiac surgery and its association with acute kidney injury using machine learning.

The Journal of thoracic and cardiovascular surgery Jun 9, 2022
OBJECTIVE: Acute kidney injury (AKI) after pediatric cardiac surgery with cardiopulmonary bypass (CPB) is a frequently reported complication. In this study we aimed to determine the oxygen delivery indexed to body surface area (Doi) threshold associa...
Humans Child Acute Kidney Injury Cardiopulmonary Bypass Oxygen Machine Learning Cardiac Surgical Procedures Risk Factors Retrospective Studies Postoperative Complications
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Feasibility of Overground Gait Training Using a Joint-Torque-Assisting Wearable Exoskeletal Robot in Children with Static Brain Injury.

Sensors (Basel, Switzerland) May 19, 2022
Pediatric gait disorders are often chronic and accompanied by various complications, which challenge rehabilitation efforts. Here, we retrospectively analyzed the feasibility of overground robot-assisted gait training (RAGT) using a joint-torque-assi...
Robotics Oxygen Torque Retrospective Studies Humans Child Wearable Electronic Devices Gait Brain Injuries Feasibility Studies
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Early severity prediction of BPD for premature infants from chest X-ray images using deep learning: A study at the 28th day of oxygen inhalation.

Computer methods and programs in biomedicine May 10, 2022
BACKGROUND AND OBJECTIVE: Bronchopulmonary dysplasia is a common respiratory disease in premature infants. The severity is diagnosed at the 56th day after birth or discharge by analyzing the clinical indicators, which may cause the delay of the best ...
Image Processing, Computer-Assisted Oxygen X-Rays Infant, Premature Bronchopulmonary Dysplasia Deep Learning Humans Infant, Newborn Tomography, X-Ray Computed Infant
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