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The result of modeling is shown too.
Comparison with Reynolds-averaged modeling is shown to reveal some interesting similarities and differences.
Genome scale metabolic modeling is shown to predict overexpression and deletion mutants which enhance recombinant protein production with high accuracy.
The use of Web texts for language modeling is shown to significantly improve both speech recognition and keyword spotting performance.
A parametric approach is studied and AutoRegressive modeling is shown to give better temperature estimation than the usual Fourier Transform based algorithm.
Groundwater age modeling is shown to be relevant for highlighting the role played by underground structures in advective dispersive flows in urban areas.
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Results of multilevel modeling are shown in Table 3.
The best fitting model is shown in Fig. 5.
The adapted crystal structure model is shown in panel (b).
The full width of the model is shown.
Our proposed model is shown in Fig. 6h.
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