Results 91 to 100 of about 6,116,423 (300)
Statistical Simulation, a Tool for the Process Optimization of Oily Wastewater by Crossflow Ultrafiltration. [PDF]
Membranes (Basel), 2022 Aloulou H +6 more
europepmc +1 more source
Simulating Metabolism with Statistical Thermodynamics
PLoS ONE, 2014 New methods are needed for large scale modeling of metabolism that predict metabolite levels and characterize the thermodynamics of individual reactions and pathways. Current approaches use either kinetic simulations, which are difficult to extend to large networks of reactions because of the need for rate constants, or flux-based methods, which have a
openaire +4 more sources
Arthritis Care &Research, EarlyView.Objective The diagnosis of fibromyalgia (FM) is challenging due to the absence of definitive biomarkers, numerous overlapping comorbidities, and its reliance on patient‐reported symptoms. Discrepancies between diagnostic criteria and clinical practice imply the possibility of diagnostic biases, complicating timely and accurate identification.
Sung‐A Kim +2 more
wiley +1 more source
Statistical Analysis of Random Simulations: Bootstrap Tutorial [PDF]
The bootstrap is a simple but versatile technique for the statistical analysis of random simulations.This tutorial explains the basics of that technique, and applies it to the well-known M/M/1 queuing simulation.In that numerical example, different ...
Deflandre, D., Kleijnen, J.P.C.
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Statistical Simulation of the Switching Mechanism in ZnO-Based RRAM Devices. [PDF]
Materials (Basel), 2022 Bature UI +6 more
europepmc +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
A general framework for statistical inference on discrete event systems. [PDF]
We present a framework for statistical analysis of discrete event systems which combines tools such as simulation of marked point processes, likelihood methods, kernel density estimation and stochastic approximation to enable statistical analysis of the ...
Koning, A.J., Nicolai, R.P.
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Вісник Київського національного університету імені Тараса Шевченка. Серія ГеологіяThe article is devoted to the theory and methods of random process and field statistical simulation on the basis of their spectral decomposition and modified Kotelnikov-Shennon interpolation sums, as well as using these methods in environmental ...
Z. Vyzhva, K. Fedorenko, A. Vyzhva
doaj +1 more source
Advanced Engineering Materials, Volume 27, Issue 6, March 2025.The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez +5 more
wiley +1 more source
, 2013 : We propose a novel, efficient approach for obtaining high-quality experimental designs for event-related functional magnetic resonance imaging (ER-fMRI), a popular brain mapping technique. Our proposed approach combines a greedy hill-climbing algorithm
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