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For both models, we obtain the queue length distribution at batch arrival epochs and that at an arbitrary time instant, the loss probability of a whole batch or an arbitrary customer in a batch, server setup rate, server utilization ratio, and the LST of the waiting time distribution.
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Combining these two models, we obtained the network model based on the entire data set.
After fitting the model, we obtain ξ∗.
For the full model we obtain AIC = -407.4.
By conducting experiments using the model, we obtained several findings.
To calibrate our model, we obtained data from Situation Reports provided by the Liberian Ministry of Health and Social Welfare (table S1) (12).
For both model organisms, we obtained the operon predictions as well as the gene annotations from the same sources as for the target organisms.
After model selection, we obtained a reduced model.
Both models are obtained using text-to-model transformations.
Training datasets for both models were obtained from JRC QSAR Models Database.
For both combined models, we consider single rate values obtained by summing the expected rates of M≥4.95 target earthquakes.
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