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Both models were validated against experimental data, and even though the isothermal model presented slightly higher deviation from the experimental results than the finite control volume one, it is presented as a suitable numerical tool for architects and engineers because of its light computational cost and versatility.
The FTA FTC model presented slightly better overall predictive performance than the FTC PTC model.
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This novel concept of combining optimization and modeling presented slightly different optimal conditions for B. longum growth from the original optimization study.
For the periods 2021 2040 and 2041 2060, spring season precipitation according to RH model is presented slightly increased by 6 and 2 mm, respectively, while for the periods 2061 2080 and 2081 2100 is presented as decreased by 19 and 10 mm, respectively, compared to the spring precipitation of the historical period.
Overall, both models showed a good fit in our data, and although the two-factor model presented a slightly better fit, subsequent analysis showed that there was no discriminant validity between the two dimensions, therefore indicating that the single-factor solution was the most appropriate.
CDKN1B (p27), another FOXO target in human, mouse and C. elegans models [ 1, 34- 37], encoding a cell-cycle regulatory protein, presented slightly, but significantly increased expression.
The model presented by the authors is slightly different from previous sliding models, and they should explain these differences clearly.
SVM models embedding RBF kernels present slightly better diagnostic performance than models designed with linear or polynomial kernels.> By considering the TST, as depicted in Table 5, age, ODI, and AHI exhibit significant difference between patients with TST less than 4 hours and those with TST more than 4 hours.
The model presented in this paper is a slightly modified version of the PLA database [1].
In the model presented, the definitions of the genetic and phenotypic variances in a given environment are slightly more difficult than in the standard reaction norm models because a non-linear function of random correlated variables is involved.
The simplified model, presenting reduced computational cost, slightly overestimates the delamination factor when compared with the complex model.
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