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An example of an additional strength might be that the study employed meta-analysis from several appropriate sources to derive realistic wound healing outcomes; an example of an additional weakness might be that a model was not validated.
A limitation is that this model is not validated in a 3D model or experimental study.
Third, the analytical model is not validated by the simulations or experiments, which make it less convincing.
The model is not validated by practically applying it to the cloud, instead the researchers applied the model to a set of cloud forensic issues raised in a research conducted in [13].
This time series model is not validated prospectively.
Second, our model was not validated in an independent external data set or using a split-sample approach.
Furthermore, in nearly half of the articles the diagnostic model was not validated in an independent set of patients; such shortfall may lead to overfitting and the production of results that are not reproducible.
The model also predicts process-related water usage, but this portion of the model was not validated due to a lack of data.
Model based reliability analysis could be misleading if the simulation model were not validated at the intended design configuration.
The limitation of this study was the soil loss estimated with the model was not validated, basically due to the absence of measured soil loss data in the studied watershed.
While that previous model led to interesting theoretical insights regarding feedback control of BW, the mathematical model was not validated and did not address the issue of metabolic fuel selection [18].
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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