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In order to assess and understand better the influence of truncation of the SP profiles on the accuracy and stability of the inversion results, various truncation levels (from the left, right, or from both flanks of the profile) are applied to the noise free data of this model (Model 4).
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In order to evaluate the fit of our data to this model, the logarithm of the product of the electrical conductivity σ and the absolute temperature was plotted against the inverse of the absolute temperature (Figs. 6, 7).
As a result, the addition of endogeneity may not have caused a big improvement in the fit of the data to this model.
Fit of the data to this model was evaluated by the Hosmer-Lemeshow χ test.
The numerical data set of this model (h=37.5 unit, a=50 unit, k=50 mV, θ=30°, N=226) has been contaminated with about 7% noise.
Reasonable overall agreement between the complete set of data and this model was obtained.
The existence of data prompting this model is due to a functional biological constraint against deleting both copies of a duplicate pair of genes.
Due to the paucity of data available, this model assumes that the risk for an ex-smoker eventually becomes the same as that of a never-smoker.
Biochemical data in support of this model are also presented.
Finally, numerical results of energy dissipation devices are compared with experimental data for validity of this model.
As the PEDRo model is being used as the starting point for the HUPO-PSI activity on models for proteome data, early validation of this model is important.
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