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The method gives significant load disturbance rejection performances.
This method gives significant reductions in computation time and core size, while maintaining accuracy and flexibility in use.
The present method gives significant disturbance rejection both in the inner and outer loops and also shows significant improvement when compared to the recently reported methods.
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For the first three datasets, (Spellman, PramilaL, Pramilas - dual-channel), Loess normalisation displays better behaviour, with PM-only methods giving significant decrease in correlations between genes known to interact.
None of the other genes tested (see Methods) gave significant survival benefits.
The non-parametric p-value is the proportion of the simulated F-values that are higher than the observed F. Although all four methods gave significant p-values, the lowest value was obtained with DisTer (Table 1).
Our measurements indicate that the method gives a significant improvement over the CPU-friendly PRISM algorithm.
Most significantly, the ODVF method gives a significant reduction in computation time compared to the CLVM method as illustrated in Tables 2 and 3.
The patch method may give significant under- or overestimates of exposure, depending on whether the patches have captured the nonuniform, random deposition of concentrate splashes or spray droplets.
In contrast with the spectral-domain methods, the three cepstral-domain methods can give significant performance improvement over the MFCC baseline.
The Wilcoxon test gives significant distinctions for reader 2 between method A and B (p < 0.001) and between A and C (p < 0.001).
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