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However, there are still no models that can infer gene family evolution to enable the estimation of the ancestral state.
Although these limitations can be partly overcome by the direct use of human tumor tissue in preclinical studies, there are no models that currently allow such ex vivo studies in cancer.
Models have been developed for use before delivery that predict short-term risk of pelvic floor disorders after childbirth, but no models that predict long-term risk exist.
Although the downscaling methodology of Emanuel (2013) projected an increase in TC genesis under the warmer climate condition projected by the HWG models, there were no models that generated a substantial increase in global TC frequency.
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And what that meant was that when crisis struck, we had half a generation of economists who not only had no model that could make sense of the crisis, but who blithely reproduced classic errors of the past.
However, there is no model that can handle this combined EOR process.
As per our knowledge, there is no model that could quantify the number of particle aerosols that get generated under present experimental conditions.
The physiological function of GPR126 in mammals is unknown, and there is currently no model that could explain the molecular mechanism of this trait.
When there is a classification problem, there is no model that can be chosen a priori to be the best [ 29].
Presently, to the best of our knowledge, there is no model that has been applied to the three critical phases of vaccine development.
Currently there are no general models that can accurately predict how dissolution rate will change over time.
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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