AIMC Topic: Oxygen
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Fully automated, deep learning segmentation of oxygen-induced retinopathy images.
JCI insight
Dec 21, 2017
Oxygen-induced retinopathy (OIR) is a widely used model to study ischemia-driven neovascularization (NV) in the retina and to serve in proof-of-concept studies in evaluating antiangiogenic drugs for ocular, as well as nonocular, diseases. The primary...
Extreme learning machines: a new approach for modeling dissolved oxygen (DO) concentration with and without water quality variables as predictors.
Environmental science and pollution research international
May 30, 2017
In this paper, several extreme learning machine (ELM) models, including standard extreme learning machine with sigmoid activation function (S-ELM), extreme learning machine with radial basis activation function (R-ELM), online sequential extreme lear...
Prediction of dissolved oxygen concentration in hypoxic river systems using support vector machine: a case study of Wen-Rui Tang River, China.
Environmental science and pollution research international
May 23, 2017
Accurate quantification of dissolved oxygen (DO) is critically important for managing water resources and controlling pollution. Artificial intelligence (AI) models have been successfully applied for modeling DO content in aquatic ecosystems with lim...
Oxygen extraction fraction mapping at 3 Tesla using an artificial neural network: A feasibility study.
Magnetic resonance in medicine
May 14, 2017
PURPOSE: The oxygen extraction fraction (OEF) is an important biomarker for tissue-viability. MRI enables noninvasive estimation of the OEF based on the blood-oxygenation-level-dependent (BOLD) effect. Quantitative OEF-mapping is commonly applied usi...
Arsenic treatment and power generation with a dual-chambered fuel cell with anionic and cationic membranes using NaHCO anolyte and HCl or NaCl catholyte.
Chemosphere
Dec 30, 2016
Dual-chambered fuel cells with an iron anode and an air-carbon cathode separated by an ion exchange membranes have been used to treat arsenate during power production. To select an effective catholyte, the dual-chambered fuel cell consisted 90 mL of ...
Artificial neural network classifier predicts neuroblastoma patients' outcome.
BMC bioinformatics
Nov 8, 2016
BACKGROUND: More than fifty percent of neuroblastoma (NB) patients with adverse prognosis do not benefit from treatment making the identification of new potential targets mandatory. Hypoxia is a condition of low oxygen tension, occurring in poorly va...
The Use of Stepper Motor-Controlled Proportional Valve for Fio Calculation in the Ventilator and its Control with Fuzzy Logic.
Journal of medical systems
Nov 5, 2016
This article proposes the employment of a proportional valve that can calculate the amount of oxygen in the air to be given to patient in accordance with the amount of FiO which is set from the control menu of the ventilation device. To actualize thi...
Regional muscle tissue saturation is an indicator of global inadequate circulation during cardiopulmonary bypass: a randomized porcine study using muscle, intestinal and brain tissue metabolomics.
Perfusion
Oct 17, 2016
BACKGROUND: Muscle tissue saturation (StO) measured with near-infrared spectroscopy has generally been considered a measurement of the tissue microcirculatory condition. However, we hypothesized that StO could be more regarded as a fast and reliable ...
Multilayer perceptron neural network-based approach for modeling phycocyanin pigment concentrations: case study from lower Charles River buoy, USA.
Environmental science and pollution research international
May 24, 2016
This paper proposes multilayer perceptron neural network (MLPNN) to predict phycocyanin (PC) pigment using water quality variables as predictor. In the proposed model, four water quality variables that are water temperature, dissolved oxygen, pH, and...
Neural correlates of consciousness in patients who have emerged from a minimally conscious state: a cross-sectional multimodal imaging study.
The Lancet. Neurology
Apr 27, 2016
BACKGROUND: Between pathologically impaired consciousness and normal consciousness exists a scarcely researched transition zone, referred to as emergence from minimally conscious state, in which patients regain the capacity for functional communicati...
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