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The scope of the proposed model is wider in comparison to previous models.
We have not included VEGF degradation in these simulations, in order to provide a fair comparison to previous models.
In comparison to previous models with cartilage or chondrocytes derived from immature calves [ 42, 43] or pigs [ 44] known to have a much larger regeneration capacity [ 45], the present model works with material from adult bovine cartilage, which may more closely represent the situation in human osteoarthritis [ 2].
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Variances of the level and the slope remained unchanged in comparison to previous LGC models.
These are the first results to show that there is a 4-fold improvement in predicting point-level NO3– when the LUR-BME method is used in comparison to previous studies that use models for spatially smoothed/time-averaged NO3–, and five percent improvement in rwhen integrating a LUR model into the BME framework, over purely BME.
This approach applied to a stoichiometry model taking ATP variations into account permitted a better understanding of ruminant mammary gland metabolism in comparison to previous studies based on similar models and datasets [ 22, 24].
Numerical validation of our models includes comparison to previous studies and analytical solutions.
Comparison to previous implementations is also presented.
A comparative analysis reveals that the proposed GA-based SOPNN exhibits higher accuracy and superb predictive capability in comparison to some previous models available in the literature.
In comparison to the previous models in the literature [3] [5], [11] [21], the present model is a self-consistent, physiologically-based, multi-scale computational model dealing with cellular metabolism and energetics in skeletal muscle in vivo at the whole-organ level.
Thanks to the so-called DarkChip3, Mitsubishi was able to boost the contrast ratio by 10% in comparison to the previous model.
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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