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The utility of this algorithm is demonstrated on a simple flow network, a small but realistic evaporator system, and a medium sized steam metering network.
The utility of this algorithm depends on several factors.
Our future research will extend the utility of this algorithm to finding approximate matches.
The utility of this algorithm extends beyond the scope of our iterative improvement approach.
The utility of this algorithm has been demonstrated in analyses of non-small cell lung cancer [ 37], glioblastoma [ 18], and breast tumors [ 38].
Examples of the utility of this algorithm and its operating characteristics include using it to derive baseline and trend estimates of oral and pharyngeal cancer incidence.
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A numerical example on nonlinear, multivariate time series involving real financial market data demonstrates the utility of this new algorithm.
We demonstrate the utility of this new algorithm by applying it to example problems, including the derivation of likely ancestral states of a gene sequence given a Markovian model of genetic mutation.
In this sense, I see the utility of the algorithm both as a peptide structure prediction engine, but also as a useful tool for generating plausible starting structures for MD simulations of modified peptides.
In this section, we report on evaluation about the utility of the algorithm for extracting main concepts from a discussion topic, the quality of generated questions and the efficiency of the Plural-to-Singular transformation method.
We have shown the utility of the algorithm for the CNN architecture.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com