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The stability-constrained multifluid CFD model shows much advantage over traditional closure models.
On the other hand, the AdaBoost-CART model shows much higher accuracy and robustness in representing the equilibrium solubility of CO2 in PZ solution.
The ATM model shows much more variability in the oscillatory behaviour and this variability is observed over a wide range of parameter values.
However, unlike the previous study, our CLP-induced sepsis model shows much more severity with 100% mortality on day 2 after CLP in the WT mice group, and the Ripk3 -/- mice group shows delayed mortality but still 100% mortality on day 6 after CLP.
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The EMR model showed much greater predictive ability than clinicians using the checklist in identifying high-risk patients.
According to our results, the 6-factor model showed much a better fit than the 5-factor model based on the good of fitness (GOF) indices from CFA.
It is noteworthy that this frequency-encoded model showed much greater robustness in repetitive runs of the simulations than the gradient model or previous quantity-dependent models for sensing injury distance (Kam et al., 2009).
In figure 5, the parameterizations of the dosage balance model show much steeper increases in the rate of loss with increasing network size (as observed in the stepwise reduction of the c parameter toward 0).
All models show much heterogeneity with respect to the years the data were collected, study design, total numbers of patients and gestational age.
Comparison of model content from our model with that of models for C. acetobutylicum and S. cerevisiae reflects the expected relationships between the organisms; i.e., the two Clostridia models show much more overlap with each other than with the S. cerevisiae model.
The dashed red line in this figure displays the absorption spectrum calculated using the five-level BAC model, which shows much better agreement with the experimental measurements.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com