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We overcome the intrinsic limitations of single periodic unit-based approaches by computing the successive failures of the material components and associated stress redistributions on arbitrary numbers of periodic units.
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To identify candidate sQTLs under selection, we used an outlier approach by computing the top 5% values of FST and |iHS| at the genome-wide level, in each population separately.
In our experiments, we show the flexibility of the direct mapping approach by computing smooth maps following landmark constraints from two different energies.
We illustrate the ease and utility of our approach by computing classical travelling wave results of planar Poiseuille flows and novel steady solutions of the perturbed planar Couette flow, employing the path-following software AUTO.
We demonstrate our approach by computing a variety of foam dynamics, including coupled evolution of three-dimensional bubble clusters attached to an anchored membrane and collapse of a foam cluster.
We follow Zalesak's approach by computing both a high-order solution and a low-order solution and then using some flux-limiter to determine what proportion of each solution is used at any given point in space and time [J. Comput. Phys.31, 335 (1979)].
Bertier et al. extended that approach by computing a dynamic safety margin which is used to compute the timeout.
The B-L2F-4-pllr fea+DTW fusion system also presents a valuable feature extraction approach by computing phone log-likelihood ratios from two different phoneme recognizers.
We first take a pairwise approach, by computing the Granger causality between each possible pairs of signals from both hemispheres.
Furthermore, given that we relied on age- and sex-adjusted RR estimates for the computation of the PAFs, we estimated the potential bias in using this approach by computing PAFs after adjusting the RR estimates for differences observed between multivariable-adjusted RRs and age- and sex-adjusted RRs in the available studies.
These approaches start by computing the pairwise mutual information (MI) between all gene pairs.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com