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The present study reveals reliability of database based taxonomic profiling of rumen metagenome by validating through the already established molecular approach like the qPCR.
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Numerical examples and real experiments based our prototype array reveal reliability and the applicability of the proposed method.
An ICC > 0.90 shows high reliability, 0.75-0.90 0.75-0.90ood revealslity, 0.50-0.75 displays intermediate reliability and <0.05 sugoodts pooreliabilityty.
On the other hand, the expression of the path reliability reveals that the reliability of the links can increase the path reliability when high or reduce the path reliability when low.
(ii) On the other hand, the expression of the path reliability reveals that the reliability of the links can increase the path reliability when high or reduce the path reliability when low. (iii) Therefore, the reliability of a path set carrying information on a source-destination pair increases with the reliability of the links composing the associated paths and the path set multiplicity. .
We also demonstrate the intentional distortion by modifying the original content via experiments, it reveals comparable reliability.
Experimental results demonstrate that the proposed method avoids over-segmentation or ill-segmentation caused by uneven illumination, and the industrial application reveals the reliability of bubble size estimation.
This reveals that reliability and delay may become two competing constraints in a QoS routing model where both constraints are at stake increasing the probability of meeting the reliability constraints worsens the average delay.
The comparison between results of ANN8 with results of ANN7 and proposed equations by previous researchers reveals the reliability of neural network developed for prediction of shear strength of high-strength steel fiber-reinforced concrete deep beams.
The exemplification reveals that reliability analysis provides a good picture of the system likely behaviour, but fails to capture a large portion of the high consequence scenarios, which are instead captured in the vulnerability analysis.
Similar to the ripple command that is used to determine marker order, a sliding window analysis also reveals the reliability of the marker order, by comparing the likelihood of the most likely marker order with alternative orders (flips test).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com