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Each model is labeled as a "dangerous behavior" or a "nominal behavior".
Each 3D printed anatomic model is labeled with a unique patient identifier for traceability.
Attenuation in the seepage media in the figures below is labeled as PER attenuation for the initial pressure gradient, and attenuation in Biot's model is labeled as Biot attenuation.
The model is labeled Model 1.
For each interaction model up to the specified level of complexity, each intersection of the potential values for the variables in the model is labeled as high risk or low risk based on the ratio of cases to controls who possess the intersection of values for the variables under examination (e.g. the AABB multi-locus genotype).
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This model is labelled doubly stochastic as it accounts for measurement error in xt−1 by defining the observation series yt−1, while xt−1 is defined as the latent variable series.
Pixels in the current frame that have significant disparities with the model are labeled as foreground.
(a) The tumor model was labeled with 25 μg/mL of acetylated APTS-coated Fe3O4 NPs (scale bar = 200 μm).
Based on this rationale that shadow pixel values repeat at pixel level, each pixel in the initial shadow mask M1 is compared with the pixel-level shadow model and those pixels which find at least #min matches with the samples in the shadow model are labeled as shadow in the final shadow mask M2.
The RMSE corresponding to the dynamic component of the displacement provided by the model was labeled RMSED, the static component was labeled RMSES.
At the bottom of the table, P-values for each model are labeled as either adjusted for all covariates, with two asterisks, or for all covariates except blood cell proportions, with one asterisk.
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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