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As whisper is characterized by formant shifts and overall increased concentration of power in high frequency bands, the models must essentially provide good modeling results in those bands.
We presented new modeling results in the framework of the two-layer model for gap gene expression.
A primary limitation of this approach, however, is that it restricts our ability to interpret the modeling results in relation to the mechanistic rate constants of kinetic models.
The presentation of the modeling results in the dimensionless form facilitates their use beyond the conditions modeled.
This predictive modeling results in significant performance improvement of the existing LTE-A network.
In addition our modeling results in an added mass term, a characteristic consistent with previous literature.
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Relatively simple implementations of fractal modeling result in an infinite number of complex and attractive images.
We model the beaconing procedure as a Markov model by observing the periodical beaconing results in the modeling phase and then use the modeling result in choosing a new beaconing interval in the applying phase.
The types of meta-data considered in this work are also agreed upon by an effort called the COMBINE archive (18), which aims at publishing extractable archive files that then contain all files necessary to reproduce a scientific modeling result in the life sciences.
The constant-modeling results in simple weighted average over the region of optimal neighborhood ∀ x 0, ∃ Ω x 0, z q ( x ) ≈ c o n s t, x ∈ Ω x 0, (9) ẑ ( x 0 ) = 1 N ∑ x ∈ Ω x 0 z q ( x ), (10).
Finally, by resorting to databases TarBase, TransFAC, and TransmiR which contain different types of experimentally validated regulation relationships, we compared the fractions of experimentally supported records in the modeling results and in the forward predictions.
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