AIMC Topic: Computer Simulation

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PANDA-T1ρ: Integrating principal component analysis and dictionary learning for fast T1ρ mapping.

Magnetic resonance in medicine Feb 14, 2014
PURPOSE: Long scanning time greatly hinders the widespread application of spin-lattice relaxation in rotating frame (T1ρ) in clinics. In this study, a novel method is proposed to reconstruct the T1ρ-weighted images from undersampled k-space data and ...
Systems Integration Reproducibility of Results Subtraction Technique Sensitivity and Specificity Magnetic Resonance Imaging Pattern Recognition, Automated Machine Learning Image Enhancement Brain Algorithms Computer Simulation Humans Image Interpretation, Computer-Assisted Spinal Cord Data Interpretation, Statistical Models, Statistical Principal Component Analysis
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Assessing subvisible particle risks in monoclonal antibodies: insights from quartz crystal microbalance with dissipation, machine learning, and in silico analysis.

mAbs Dec 1, 2025
Throughout the lifecycle of biopharmaceutical development and manufacturing, monoclonal antibodies (mAbs) are subjected to diverse interfacial stresses and encounter various container surfaces. These interactions can cause the formation of subvisible...
Antibodies, Monoclonal Quartz Crystal Microbalance Techniques Humans Computer Simulation Adsorption Machine Learning Particle Size
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Antioxidant bioactivity of sunflower protein hydrolysates in Caco-2 cells and in silico structural properties.

Food chemistry Sep 30, 2025
Sunflower protein hydrolysate (SPH), with 95 % reduced phenolic content, was studied for its protective effects against oxidative stress in intestinal cells (Caco-2). Produced via alcalase hydrolysis, SPH's molecular weight, amino acid composition, a...
Helianthus Tandem Mass Spectrometry Hydrophobic and Hydrophilic Interactions Humans Antioxidants Plant Proteins Molecular Weight Oxidative Stress Caco-2 Cells Protein Hydrolysates Computer Simulation
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Predicting in vitro assays related to liver function using probabilistic machine learning.

Toxicology Sep 1, 2025
While machine learning has gained traction in toxicological assessments, the limited data availability requires the quantification of uncertainty of in silico predictions for reliable decision-making. This study addresses the challenge of predicting ...
Machine Learning Computer Simulation Liver Reactive Oxygen Species Animals Humans Chemical and Drug Induced Liver Injury Hepatocytes Toxicity Tests
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Decomposition method-based global Mittag-Leffler synchronization for fractional-order Clifford-valued neural networks with transmission delays and impulses.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
This study examines the global Mittag-Leffler synchronization (GMLS) problem for fractional-order Clifford-valued neural networks (FOCLVNNs) including transmission delays and impulses. Firstly, a novel kind of FOCLVNNs is developed that incorporates ...
Neural Networks, Computer Algorithms Computer Simulation
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Multiple-input and multiple-output encoders with DNA-based winner-take-all neural Networks.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
DNA logic circuits are essential building blocks for molecular computers. Traditional molecular logic circuits primarily use basic gate circuits as computational units, achieving complex functions via multiple cascades. However, even simple logical f...
Neural Networks, Computer DNA Computers, Molecular Computer Simulation
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Fixed-time adaptive neural network compensation control for uncertain nonlinear systems.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
Uncertainties are the main obstacle to improving the control performance of nonlinear systems. To address this challenge, this paper proposes a fixed-time adaptive neural network compensation control method for a class of high-order nonlinear systems...
Algorithms Computer Simulation Feedback Neural Networks, Computer Nonlinear Dynamics Uncertainty Time Factors
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Neuroadaptive fixed-time fault-tolerant containment control of high-order MIMO Nonlinear multi-agent systems in affine strict-feedback form.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
This paper is concerned with the fixed-time containment control problem for high-order MIMO nonlinear multi-agent systems with external disturbances and actuator faults. First, in the backstepping framework, a neuroadaptive fixed-time containment con...
Algorithms Computer Simulation Time Factors Nonlinear Dynamics Feedback Humans Neural Networks, Computer
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Implementing feature binding through dendritic networks of a single neuron.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
A single neuron receives an extensive array of synaptic inputs through its dendrites, raising the fundamental question of how these inputs undergo integration and summation, culminating in the initiation of spikes in the soma. Experimental and comput...
Animals Models, Neurological Action Potentials Neural Networks, Computer Computer Simulation Nerve Net Dendrites Purkinje Cells Neurons Synapses
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Physics-informed multi-output Gaussian process for dynamical system modeling.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
Learning accurate dynamics models is crucial for model-based reinforcement learning. Gaussian processes (GPs), as a probabilistic modeling approach, have been widely used for dynamical system modeling. However, standard GPs are designed for single-ou...
Normal Distribution Computer Simulation Models, Statistical Bayes Theorem Humans Neural Networks, Computer
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