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The first model is based on a Monte Carlo simulation of the lysis process and the accompanying probability density function, as described by the Fokker Planck equation.
The first model is based on a linear thin-shell theory and the second model uses a self-programmed finite element program with planar elements.
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The first model was based on a paper by Sveiczer, et al. in 2000 [20].
The first model is based on conventional stereovision technique.
The second model is based on transaction fees.
The second model is based on the method of Harmonic Balancing (HB).
The second model is based on the dynamics of double strand break ends during repair processes (dynamic "breakage first" model).
The second model is based on gene duplication followed by rapid sequence divergence [ 11, 12].
Three multivariate logistic regression models were developed: the first model was a clinical model that included clinical variables; the second model was based on the RV/LV ratio and laboratory variables; the final model was based on SIRS (Table 2).
The fourth model was based on the 18 positions under positive selection (Appendix) (7).
First, the model is based on only a few hundred measurements.
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