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To test our interpolation scheme we used Sea Surface Temperature (SST) in place of pCO2 as the interpolated parameter.
Following this labelling scheme, we used the bright Endomucin-specific signal to determine the density of non-arterial vasculature, and its distribution across the BM.
For the ranking scheme, we used the negative-log of the multiple-hypothesis-corrected p-value (obtained via differential expression analysis in Sleuth) and signed according to the fold-change direction.
In order to find the best ratio between the number of pessimistic to the number of optimistic secondary stations in the proposed scheme, we used fuzzy logic.
However, our results indicate that, at least for the five traits considered here in angiosperms and the specific partition scheme we used, failing to account for morphological rate variation had only a minor impact on reconstructed ancestral states at key nodes of the phylogeny.
We have chosen scheme 3 of [3] because of iThebetter perfourthce reschemeover the schemes 1 and 2 presented in [3].
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In this scheme, we use a finite element method to approximate the solid vibrations and the near wave field.
In this scheme, we use the original VMAP method to improve the performance of signal transmissions and also utilize caching scheme to replace the existing DAD mechanism.
In our new scheme, we use Strang's splitting method, and use the piecewise exact solutions for solving the extremely short timescale problem.
To evaluate the performance of the proposed scheme, we use PEPS (Performance Evaluation of Parallel Systems) which is a powerful tool based on models which can be described with Stochastic Automata Networks (SAN).
In current scheme, we use the same spectrum band specifications that are given in IEEE 802.22.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com