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CI is a data characteristic.
It demonstrates consistency as a data characteristic.
Thus consistency is treated as a data characteristic.
Our consistency model like [8] implements consistency as a data characteristic and further extends to selectively apply these constraints to critical data objects for performance.
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It is interesting to see that our algorithm not only fully conquer the label skewness biases for the BreastIBC and Kidney data, but also achieve exceptional diagnostic results for all three data sets for its latent data characteristics extraction that forces a data characteristics driven diagnosis.
As a consequence of data characteristic we performed non-parametric analyses.
We plotted the connectivity distribution on a double logarithmic scale to identify the most reliable linear fit for the data, characteristic of a scale-free topology.
In the 1H-NMR spectrum (Table 1), it displayed the occurrence of one olefinic proton (δH 5.28) and six methyls (δH 1.43, 1.21, 0.96, 0.93, 0.92, and 0.88), which was in conformity with the appearance of one olefinic C-atom (δC 129.9) and six methyls (δC 30.3, 27.6, 23.0, 17.5, 17.5, and 16.4) in its 13C-NMR data, characteristic of a triterpenoid skeleton [15].
(a) Data retention characteristics of the IrO x /GeO x /W devices.
It is insensitive to the removal of single tumour types, is not an artifact of data characteristics (as shown by randomisation in Figure 4), can be used for characterising relationships between tumour types and is generally informative for characterising survivalness for individual tumour types as well.
In view of the plant data characteristics, a soft fuzzy c-means cluster algorithm is proposed to decompose the original data and guarantee the diversity of individual learners.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com