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A generalized framework of a dynamic model based on mixing cell approach and detailed polymerization kinetics coupled with population balance model for particle size distribution (PSD) is developed.

This study is focused on the development of a generic model based on mixed-integer, nonlinear programming (MINLP) for system optimisation regarding the possible construction of a hydropower plant.

A model based on a dynamical competition between recoil mixing and thermal spike diffusion is proposed to explain these various results; it is implemented in kinetic Monte Carlo simulations.

Develop a model based on theory.

Wang [6] divided the whole comfort evaluation factors into two parts: objective factors and subjective factors, and a comfort evaluation model based on the mixing parameters of support vector machine was established.

We analyzed linezolid plasma concentrations with a compartmental pharmacokinetic model based on nonlinear mixed-effects modeling.

In this paper, we consider a non-parametric fixed design regression model based on strong mixing sequences.

In the following we will concentrate on the model, based on 'homogeneous mixing' with state variables as functions of time, which is more general than the XYZ type model and needs to be studied to investigate the role of latent period in rumor propagation.

It was also observed that the MD results are in good agreement with the thermal equilibrium model for predicting the specific heat of nanofluids, and the other model based on the mixing theory for ideal gas mixtures failed to predict the specific heat of nanofluids.

Our parameter-free model, based on a mixed-space cluster expansion, allows the prediction of the experimentally observed size and temperature dependences of the precipitate shape.

These show that, for semiparametric partially linear regression models for longitudinal data based on mixing error's structure, the least squares estimator of parametric component β and the estimator of nonparametric component g work well.

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