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The plots in Fig. 5 show the evolution of the flow time variation spectra as a function of the applied damping.
Both V-ASM and Z-ASM models display larger energy in their secular variation spectra for degree 10 and 12 terms, with the Z-ASM model being 50%% more energetic than the V-ASM model for these two terms.
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This differs from the variation spectrum described in other populations.
Our results suggest that specific difference in the variation spectrum found in LCA patients from the Han Chinese and other populations are related by ethnicity.
We have provided a full variation spectrum of the MLH1 gene in Chinese gastric cancer patients.
The authors propose that this variation influences regional mutation spectra, tumour susceptibility and lesion distribution in mice and humans.
It is noteworthy that the variation between spectra inside each group was large compared to the differences between mean spectra (Fig. 2).
The difference of Ag3BiI6 and Cu3BiI6 were the variation of spectra at around 580 nm.
Fig. 5. Evolution of the toroidal (left) and poloidal (right) flow time variation power spectra as a function of the damping parameter λ3 = 10 d for year 2005.4.
Also, the variation of spectra recorded at different potentially dendritic sites of each species is remarkably small.
Multivariate analysis facilitates separation of the different contributions to the variation between spectra by reducing the dimensionality of a data set while retaining the primary information.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com