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The compression ratios of the proposed method are near to H.264, and some are higher than that of H. 264, while the compression speed is much better than H.264, which speed up compression time 1.93 times on average.
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Interestingly, we found that CI in the non-activated method was nearest to 0 after 15 minutes whereas in kaolin-activated method was nearest to 0 after 30 minutes.
The area estimate returned by our method is "near-optimal", meaning that the error in the estimate can be made smaller than any upfront specified value.
As the CI in kaolin-activated method was nearest to 0 after 30 minutes, this time period seems to be adequate for sample stabilization before analysis.
Our volunteers are healthy and thus we believe that they do not have a tendency towards hypocoagulability or hypercoagulability and their CI is 0. As the CI in the non-activated method was nearest to 0 after 15 minutes, we believe that this time is the best for stabilization of the sample to get the most valid data.
One of the simplest classification methods is nearest mean classifier (NMC) that is a parametric, unbiased, and probabilistic method.
However, the design method is near optimal in the sense that its coding performance depends on the initial bit plane patterns.
That is, if the initial guess for the optimization method is near to the global maximum, a correct convergence to it is achievable.
The speech recognition performance of the proposed method was near the upper bounds, and its gesture recognition performance was at the upper bounds.
These methods are nearer to true values in the SEQC sample, where the RNA content difference between samples is less significant, but all estimates are improved by incorporating enrichment fraction measurement (Additional file 4: Figure S3).
Both the ChIP and DamID method can detect TFs that are near DNA but not necessarily contacting it.
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