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Distributions for the data are defined by lognormal distributions with mode equal to measured value and a coefficient of variation equal to 50%, reflecting the level of variability observed experimentally (Table 1).
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The data were defined by their objectives, methodology, study setting, findings, interventions done and implications suggested in the study.
An error measure that better determines the mean error on the data is defined as: (2).
The cost function that captures the matching error between the model and the data is defined as: {E}_{mathrm{T}}={displaystyle sum_{i=1}^n{E_i}^2} (1).
The size of the data is defined by (i) number of hydrophones (traces) (ii) duration and frequency sampling of the recording (number of samples ). . number of hydrophones (traces).
The data is defined and the parameters are clear.
Noise in the data was defined as the variance of the 20% lowest amplitude points in each average.
The resolution of the data is defined as the resolution bin where CC(1/2) = 0.5.
Major themes and subthemes applied to the data were defined and labeled.
The year of the data was defined as the median year of the data in each study.
PSIs in the data were defined using the ICD-10 codes in the 49 secondary diagnosis coding fields.
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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