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Overall model performance was assessed by comparing the root mean square (RMS) and mean absolute difference (MAD) between the model estimates and the reference standard bone ages.
For yeast, we started with 4 different initial conditions, conducted 5 trials each, and grew 20 replicas for each parameter set to obtain an average distribution, which we score by comparing the root mean square difference of the binned distribution to the binned yeast distribution.
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The control effects are evaluated by comparing the root-mean-square responses of the stabilized platform.
By comparing the root-mean-square deviations (RMSDs) of CDRs, we found five key residues whose mutations would destroy the original conformation of CDRs.
Root length was scored according to [ 57] by comparing the roots growing on agar plates with pictures for the different classes of root growth.
We do this by assessing discriminant validity by comparing the square root of the AVE with the correlation between the construct and the other constructs (Table 2).
At the construct level, discriminant validity was assessed by comparing the square root of the AVE for the given construct with the correlations between that construct and all other constructs.
According to Akin et al. (2009), discriminant validity could be assessed by comparing the square root of AVE of each construct to the correlation of the construct with the other constructs of the model.
Moreover, discriminant validity can be assessed by comparing the square root of the AVE and the correlations of the construct with the other constructs in the model [ 77].
We next estimated the strength of the cytokinin effect caused by the ectopic expression of wild-type and phosphomimic ARR1 versions by comparing the transgenic root lengths with those of the wild-type and arr1-1 plants grown on MS/2 media supplemented with a range of benzyladenine (BA) doses.
Graphic comparing the root depths of Kernza and Wheat.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com