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In particular, the importance of high-order smoothing triangular pieces to surface's fine expression in geological modeling was emphasized.
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The limitations of scientific modeling are emphasized by the fact that models generally are not complete representations.
In this paper, the need for more quantitative research (kinetic and thermodynamic modeling) is emphasized by outlining a possible strategy based on a state of the art of research results available in literature.
With the analysis mentality available from the hyper-ellipsoidal model, the basic method about the robust optimization for the interval model was emphasized.
To mitigate the design efforts, the self-learning ability embedded in the neural networks model was emphasized for improving the rule extraction performance.
The need to apply technology and bioinformatics to biology rather than moulding observations to fit in with bioinformatic models was emphasized.
An algebraic model of DB's and applications of this model are emphasized.
Further work to understand changes in distribution and to allow for improved spatial models is emphasized.
The importance of measurement models is emphasized, and the interaction of ultrasound with cracks is discussed in some detail.
The utility of equivalent circuits as measurement models is emphasized, and ways to use them to find mechanistic information are discussed.
Through this study, the applicability and the suitability of using the coupled code technique with respect to the classical models are emphasized and discussed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com