diffusion model
SEIQRS Information Diffusion Model with the Change of Nodes
... information diffusion model is proposed to expound mechanism of cyber ...SEIQRS model is built in section II, and system dynamics equations are ...
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A Stochastic Information Diffusion Model in Social Networks Based on SIR Epidemic Model
... information diffusion model with random perturbation in social networks, which is based on SIR deterministic epidemic ...information diffusion model for any positive initial value, investigate ...
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The Rescorla-Wagner Drift-Diffusion Model
... timing model called Timing Drift-Diffusion Model (TDDM, Simen et ...drift- diffusion models that have been extremely successful at modelling reaction time in decision making tasks (Ratcliff, ...
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Solutions of Fractional Diffusion Equations and Cattaneo-Hristov Diffusion Model
... fractional diffusion equations in one and two-dimensional spaces have been ...Cattaneo-Hristov diffusion model with the particular boundary conditions has been ...fractional diffusion ...
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Estimating Future Health Technology Diffusion Using Expert Beliefs Calibrated to an Established Diffusion Model
... for diffusion estimates at the time of HTA stands in stark contrast to the dearth of methods permitting an estimation of diffusion in accordance with diffusion theory available to health economic ...
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A Reaction Diffusion Model for Wireless Indoor Propagation
... reaction diffusion simulator will produce a complete map of signal strengths which could be used in algorithms such as the NNSS algorithm to provide a more complete and accurate base of values with which to ...
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Synaptic transmission in a diffusion model for neural activity
... (1983) Diffusion approximation for neuronal activity including synaptic reversal potentials. (1983) On the diffusion approximation to a discontinuous model for a single neuron,[r] ...
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A Drift-Diffusion Model of Interval Timing in the Peak Procedure
... merges m and α parameters from the full model, and this issue does not arise. Nonetheless, we can still estimate the learning rate, which across all 17 experi- ments was consistently high and ranged between 0.45 ...
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A Rescorla-Wagner Drift-Diffusion Model of Conditioning and Timing
... On the other hand, timing models have made even fewer attempts at integrating aspects of classical conditioning. A notable exception is the Learning to Time [LeT, 7, 45] model. It rep- resents the passage of time ...
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Modeling and maximizing influence diffusion in social networks for viral marketing
... in diffusion dynamics, Chen et ...temporal diffusion dynamics of individual nodes. However, this model has limitations on the following two ...IC model has a time-invariant property, ...their ...
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The Role of Seeding in Multi Stage vs Two Stage Diffusion Models
... The model described here has attempted to explain why man- agers avoid seeding at new product category launches but do use this strategy, with significant investments, for placing new brands in established ...[28] ...
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DYNAMICS OF AN SI MODEL WITH TIME DELAY AND DIFFUSION
... contagious model is a proper tool to investigate the basic mechanisms of complex spatiotemporal epidemic ...epidemic model with diffusion describes the transmission of ...In diffusion ...
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Analysis and Forecast of COVID-19 Pandemic in Pakistan
... ARIMA Model, Diffusion Model, SIRD Model and Prophet Model to forecast the magnitude of the COVID-19 pandemic in Pakistan and compared the numbers with the reported cases on the ...
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The New Software for Research and the Modelling of Grown-in Microdefects in Dislocation-Free Silicon Single Crystals
... a diffusion model to both crystals during their growth and to crystals after thermal effects indicates the universality of this ...The diffusion model represents a unified approach to studying ...
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ADSORPTION CHARACTERISTICS OF ETRONIDAZOLE FROM INDUSTRIAL WASTEWATER ONTO POLYANILINE NANOCOMPOSITE
... intraparticle diffusion and Bangham’s kinetics ...kinetic model and also followed by intra-particle diffusion model; whereas diffusion is not only the rate-controlling step, and likely ...
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Androgen receptor complexes probe DNA for recognition sequences by short random interactions
... two-population model, ...free diffusion model (Eqn 3, black line represents R1881, gray line represents ...(G) Diffusion coefficient D of fast fractions obtained using the curve fits shown in ...
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Repeatability of derived parameters from histograms following non-Gaussian diffusion modelling of diffusion-weighted imaging in a paediatric oncological cohort.
... IVIM model, f and D*, and the kur- tosis parameter K are influenced by smaller subsets of the data (at lower and higher b value, respectively) and thus show much greater variability across the ...that model ...
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Electrochemical-Fractal Model Versus Randles Model: A Discussion About Diffusion Process
... The appendix shows in detail the deduction of the concentration as a function of the distance to the electrode surface and time, for a semi infinite linear diffusion model. When the system is excited with ...
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Resolving degeneracy in diffusion MRI biophysical model parameter estimation using double diffusion encoding
... biophysical model from SDE to DDE schemes, but also demonstrated theoretically the advantages this latter ap- proach ...this model estimation from ...the model parameter esti- mates in the presence ...
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Non-mono-exponential diffusion models for assessing early response of liver metastases to chemotherapy in colorectal Cancer
... apparent diffusion coefficient (ADC), can be used to reflect changes in tumor microenvironment dur- ing treatment in some extent ...the diffusion behavior of water molecules in tumors is rather complicated ...
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