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No German-specific data were identified for the sexual behaviour patterns.
Methodological differences between centres A and B in the evaluation of 18F-FET PET data were identified for (1) framing of PET dynamic data, (2) data reconstruction, (3) cut-off values for tumour delineation to determine tumour-to-brain ratios (TBR) and tumour volume (Tvol) and (4) ROI definition to determine time activity curves (TACs) in the tumour.
No data were identified for uterine rupture.
Similarly, tagging SNPs from the whole genome sequencing data were identified for these same deletions.
Appropriate pregnancy-specific data were identified for four of the six parameters in the model (excluding C, the empirical value selected as the point of departure).
By double-checking the motion artifacts and the SNR, high quality data were identified for the subsequent FC calculation and network analysis.
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The first component is a feature selection and extraction stage where critical informational features about the data are identified for classification purposes.
No TAF data was identified for NHLF, HMEC, LNCaP, PrEC and Caco-2 cells.
Large discrepancies between these sources of data were identified (a 62% difference for cases and a 48% difference for deaths).
No published data were identified in healthy menisci for comparison.
Outliers in data were identified by the Grubbs test for outliers and excluded from the dataset before analysis.
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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