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In mass spectrometry-based proteomics, the statistical significance of a peptide-spectrum or protein-spectrum match is an important indicator of the correctness of the peptide or protein identification.
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In conclusion, there is not a complete correlation between data volume indicator and correctness indicator, which can be described as ( {q}_voverset{sim }{prec }{q}_t ) ■. Theorem 3 The data volume indicator and the correctness indicator are not completely correlated.
In all these three surveys, cuffs with indicators to assess the correctness of the cuff size were used.> -wrap-foot> § Arm circumference not measured, # Not possible to calculate.
The two approaches are compared by means of two indicators of the grade of correctness of the landslide susceptibility maps: the area under curve of the ROC curve, AUC, and the overestimation index, OI.
Thus, symbols and faces were equivalent indicators of correctness of time estimation.
The correctness indicator of dataset D is defined as follows: {q}_a=sum limits_{i=1}^nsum limits_{t=1}^{v_i}{f}_aleft({mathrm{val}}_tright)/left(Ntimes sum limits_{i=1}^n{v}_iright). (12).
As we can see in Fig. 4, in the case that the data volume of each node changes from 100 to 200, the metric of the time-dependent indicator decreases, the dataset completeness increases slightly, and the correctness indicator increases.
Theorem 11 There is no correlation between the correctness indicator and the completeness indicator.
Theorem 10 There is no correlation between the correctness indicator and the data volume indicator.
Theorem 12 There is no correlation between the correctness indicator and the time correlation indicator.
The correctness indicator describes the closeness of the monitored value to the true value.
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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