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This paper describes an interdisciplinary exercise of scenario design and modelling, providing a methodology to couple hard-science numerical modelling approaches with the involvement of key water actors.

Along with the development of such tools, their effective implementation in building projects depend on their uptake by holistic design and modelling approaches, with BIM standing out as an exemplary case.

In the second part of this article, three dual-satellite modelling approaches with low complexity are analysed on a large set of receive scenarios: a first-order Markov model for correlated satellites (Lutz model), a semi-Markov approach assuming a lognormal SDPDF fit, and a semi-Markov approach assuming a piecewise exponential SDPDF fit.

In order to establish an overview over the state of the art, this paper provides a comprehensive review about the published research on bias flow liners and modelling approaches with an extensive study of the most relevant parameters determining the acoustic behaviour of these liners.

Although this model did not allow reproducing all mutant and overexpression experiments that we have simulated here, it combined modelling approaches with quantitative data, and highlighted the enormous developmental plasticity of the meristem.

Possible reasons for this are different turbulence modelling approaches with different terms for the turbulent diffusion and rapid pressure strain terms.

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The results are based on a modelling approach with several limitations, including: The model did not consider situations where V was co-administered with the second MMR dose (either as MMR + V or MMRV) if it was not co-administered with the first MMR dose.

A fuzzy chance-constrained modelling approach with core philosophies of fuzzy expected value model and fuzzy chance-constrained programming is used in this paper.

A decomposed modelling approach with separate energy-flow, energy-integration and economic models are coupled with a multi-objective optimisation strategy.

A decomposed modelling approach with separate energy-flow, energy-integration and economic models is presented and coupled to multi-objective optimisation, which allows to generate a set of optimal process flowsheets that constitute a sound basis for the synthesis of a viable process.

We combine the modelling approach with a problem decomposition approach to realize the estimator.

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