AIMC Topic: Computer Simulation

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FUZZY COMPUTATIONAL MODELS TO EVALUATE THE EFFECTS OF AIR POLLUTION ON CHILDREN.

Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo Nov 13, 2017
OBJECTIVE: To build a fuzzy computational model to estimate the number of hospitalizations of children aged up to 10 years due to respiratory conditions based on pollutants and climatic factors in the city of São José do Rio Preto, Brazil.
Respiratory Tract Diseases Child Fuzzy Logic Air Pollution Humans Brazil Child, Preschool Computer Simulation Hospitalization
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Mathematic Network of Seizure Activity: How Presurgical Simulation Can Predict Postsurgical Success.

World neurosurgery Nov 11, 2017
Humans Neural Networks, Computer Epilepsy Preoperative Care Mathematical Computing Computer Simulation Treatment Outcome Electroencephalography
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Variable synaptic strengths controls the firing rate distribution in feedforward neural networks.

Journal of computational neuroscience Nov 10, 2017
Heterogeneity of firing rate statistics is known to have severe consequences on neural coding. Recent experimental recordings in weakly electric fish indicate that the distribution-width of superficial pyramidal cell firing rates (trial- and time-ave...
Computer Simulation Female Animals Models, Neurological Electric Fish Action Potentials Rhombencephalon Male Neural Pathways Time Factors Neural Networks, Computer Electric Stimulation Pyramidal Cells
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Learning a variational network for reconstruction of accelerated MRI data.

Magnetic resonance in medicine Nov 8, 2017
PURPOSE: To allow fast and high-quality reconstruction of clinical accelerated multi-coil MR data by learning a variational network that combines the mathematical structure of variational models with deep learning.
Image Interpretation, Computer-Assisted Linear Models Data Compression Adolescent Image Processing, Computer-Assisted Magnetic Resonance Imaging Adult Male Middle Aged Algorithms Computer Simulation Retrospective Studies Aged Young Adult Female Reproducibility of Results Humans Machine Learning
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Margined winner-take-all: New learning rule for pattern recognition.

Neural networks : the official journal of the International Neural Network Society Nov 7, 2017
The neocognitron is a deep (multi-layered) convolutional neural network that can be trained to recognize visual patterns robustly. In the intermediate layers of the neocognitron, local features are extracted from input patterns. In the deepest layer,...
Cognition Pattern Recognition, Automated Machine Learning Algorithms Computer Simulation Neural Networks, Computer
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Working Memory and Decision-Making in a Frontoparietal Circuit Model.

The Journal of neuroscience : the official journal of the Society for Neuroscience Nov 7, 2017
Working memory (WM) and decision-making (DM) are fundamental cognitive functions involving a distributed interacting network of brain areas, with the posterior parietal cortex (PPC) and prefrontal cortex (PFC) at the core. However, the shared and dis...
Memory, Short-Term Connectome Synaptic Transmission Models, Neurological Action Potentials Decision Making Parietal Lobe Computer Simulation Prefrontal Cortex Humans Neural Networks, Computer
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Machine learning model for sequence-driven DNA G-quadruplex formation.

Scientific reports Nov 6, 2017
We describe a sequence-based computational model to predict DNA G-quadruplex (G4) formation. The model was developed using large-scale machine learning from an extensive experimental G4-formation dataset, recently obtained for the human genome via G4...
Computer Simulation Base Sequence Genome, Human G-Quadruplexes Humans Machine Learning
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Glypre: In Silico Prediction of Protein Glycation Sites by Fusing Multiple Features and Support Vector Machine.

Molecules (Basel, Switzerland) Nov 3, 2017
Glycation is a non-enzymatic process occurring inside or outside the host body by attaching a sugar molecule to a protein or lipid molecule. It is an important form of post-translational modification (PTM), which impairs the function and changes the ...
Proteins Area Under Curve Amino Acids Lysine Binding Sites ROC Curve Glycosylation Support Vector Machine Algorithms Computer Simulation Sensitivity and Specificity
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Collaborative targeted learning using regression shrinkage.

Statistics in medicine Nov 2, 2017
Causal inference practitioners are routinely presented with the challenge of model selection and, in particular, reducing the size of the covariate set with the goal of improving estimation efficiency. Collaborative targeted minimum loss-based estima...
Female Humans Infant, Newborn Machine Learning Asthma Causality Algorithms Computer Simulation Pregnancy Complications Models, Statistical Pregnancy Propensity Score Regression Analysis Likelihood Functions Outcome Assessment, Health Care Biostatistics
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Optimal treatment assignment to maximize expected outcome with multiple treatments.

Biometrics Oct 31, 2017
When there is substantial heterogeneity of treatment effectiveness, it is crucial to identify individualized treatment assignment rules for comparative treatment selection. Traditional approaches directly model clinical outcome and define optimal tre...
Drug Therapy, Combination Therapeutics Treatment Outcome Support Vector Machine Combined Modality Therapy Humans Computer Simulation Precision Medicine
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