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These analytical methods also showed lower relative standard deviation for both control and field samples.
The same methods also showed that, after receiving voice therapy, MTD subjects exhibited behavior that was more similar to that of the controls.
The comparison results of current methods also showed that the proposed method has some advantages in aspects of accuracy rate, sample robustness and execution time.
These methods also showed analyticity of radiation patterns of resonant states, F in (3.10), also when the metric is not even.
The proposed methods also showed the significance of isoabsorptive point, normalized spectra as divisors and dual wavelengths as powerful tools that could either be used alone or in combination with each other for the resolution of severely overlapped spectra without preliminary separation.
These quantitative proteomics methods also showed higher accuracy for conservation-based approaches compared to other methods, including PITA.
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Our methods also show that MCMC algorithms that exhibit a similar discrepancy will fail in large samples a result with substantial practical impact.
The semiempirical methods also show the C2v symmetry to be a local minimum, though it is supposed to be a transition state by ab initio and DFT calculations.
Other methods also show different behaviors with respect to network size.
The combination of wavelet analysis and BSS methods also shows potential attitude for the separation of the maternal and fetal signals from ECGs.
The other two module identification methods also show higher specificities than FoldChange_2.0, which suggests that the interaction data of the gene network provide additional information of cell responses at the molecular level.
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