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This also provides an iterative algorithm to test the r-stability and Schur stability of polynomials.
Then an algorithm to test the safety mechanism is presented taking the constraint conditions into account.
We used large phytoplankton datasets to describe phytoplankton diversity patterns and applied a machine-learning algorithm to test the degree to which species richness patterns are potentially controlled by environmental factors.
We present a simple and fast algorithm to test the thermodynamic stability and determine the necessary chemical environment for the production of a multiternary material, relative to competing phases and compounds formed from the constituent elements.
We first applied the rejection algorithm to test the three models against each other as described in [39].
With this subset of variables (shortest path length, buzz repertoire size, whistle repertoire size, trill repertoire size and number of hatchlings) we trained a support vector machine algorithm to test the combinatory predictive power of the variables.
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Thus, this characterization leads to efficient algorithms to test the observability in SLS.
Moreover, using real-world data from a well-known ESP in China, we employ various machine-learning algorithms to test the model.
We therefore chose miR-29b, miR-150, and miR-383, which have putative binding sites on the 3'-UTR of VEGF but do not have putative binding sites on Construct I or II, as predicted by all of the three algorithms, to test the specificity.
We have applied a real mouse RNA-seq dataset to different algorithms to test the performance of XBSeq [ 10].
The different provisional frameworks were checked using the simulated annealing algorithm to test inversion of the map fragments, and the flips algorithm to test all local permutations in a window of 6 markers.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com