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In the present paper a comparison of both methods applied to breaking wave studies is performed.
Ideally, pore pressure prediction practitioners will use both methods applied to several data types to compare prediction profiles.
This paper compares both methods applied to the same approach: a navigation robot supported by an efficient map model, established by a reduced set of omnidirectional image views.
We suggest that using both methods applied to the same dataset would provide more information on the disease related CN aberrations, than each method applied alone.
Both methods applied to deep transcriptional sequencing data demonstrate a large number and diverse range of TIC events within individual tissues.
We compare the results of both methods applied to total RNA from the same individual mosquitoes and identify the most differentially represented transcripts between the methods to identify non-polyadenylated transcripts.
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DCE-MRI is an umbrella term used to describe a variety of dynamic MRI techniques and analytical approaches, including both qualitative and quantitative methods applied to data acquired at high or low temporal resolution.
Also, both passive and active damping methods applied to the higher order SRFs are classified in detail with the latest studies presented in literature.
A summary of the performance of the methods applied to both published microarray data sets and to simulated data is given.
We examined this issue based on the analysis of modules detected by network clustering methods applied to both integrated and individual (disaggregated) data sources, which we call interactome classes.
WhiskyTHC implements both finite-difference and finite-volume methods applied to a characteristic-variables decomposition with a Lax-Friedrichs flux-splitting for upwinding.
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