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The authors applied a hierarchic modeling strategy, which breaks the overall problem into three spatial scales: the macroscopic, the mesoscopic and the microscopic scale.
Thus, the unknown parameters were chosen following a pattern-oriented modeling strategy, which ensures that the emergent model properties qualitatively and quantitatively resemble the observed natural patterns (Grimm et al. 2005).
$$\end{document} In order to investigate the role of selection, I applied in a first step a stepwise modeling strategy, which allowed me to observe compositional effects in the central covariates of interest.
In the presence of a long list of candidate pollutants, we also assessed identification and estimation of non-zero coefficients using a two-step modeling strategy, which employs an initial screening by CART followed by further dimension reduction/variable selection by the five methods at the second step.
The model is harmonized with thermo-electric modules with a modeling strategy, which enables optimize better temporal profile across the stack.
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We also refer to the new modeling strategies which integrate macroscopic and microscopic methods, and to the possibilities of molecular modeling in polymer nanotechnologies.
The second is the pheromone and sensitivity model strategy, which avoids local optimum solution to a large extent.
The key reasons for this are (1) the lack of a comprehensive database of walking forces in the form of continuously recorded time series that can be used for development of statistically reliable characterisation of these forces for application in the civil engineering context, and (2) the lack of an adequate modelling strategy which can account for their narrow-band nature.
The numerical modelling strategy, which was fully validated against existing experimental measurements, was used to verify the findings of the 1D analysis and show how the back swept blade angle significantly reduced regions of flow recirculation at inlet during off-design operation.
With the tri-exponential model, a strategy which incorporates variable-fitted parameters might offer improved results.
The control of the UGKR is a model-based control strategy which requires time-consuming system identification for each new knee specimen.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com