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For the conversion between these two color models, we adopt the approach proposed in [54, 55], in which a color cube is used to model the relationship between RYB and RGB values.
To address the relation between the cerebellum and internal models, we adopt the chip metaphor that has been used to represent the combination of a homogeneous cerebellar cortical microcircuit with individual microzones having unique external connections.
To generate a series of 21 minimalistic competing models, we adopt a strategy in two steps.
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For all models, we adopted each plot as random effect.
To examine whether the filled test models were significantly different from the original inverted models, we adopted the F test.
To reduce the number of covariates in the multivariable models, we adopted a forward, stepwise approach with entry and removal based on a univariate p value of 0.2.
In addition to fitting GAM models we adopted this approach.
For our final models, we adopted the best-fit and most parsimonious models.
However, instead of using n-gram language models, we adopted a language model based on pair-wise predicate argument relations produced by the ENJU parser.
In order to obtain good fuzzy rule-based models, we adopted the following recent techniques to reduce the complexity of fuzzy rule-based models.
Among the available glioma models, we adopted the well accepted GL261 syngeneic mouse model of high grade glioma [ 12, 13] based on intracerebral injection of GL261 cells in C57/Bl6 mice.
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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