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The main problem is that in such infection dynamics models, the population of cells and viruses can show extensive oscillations before converging to a steady state.
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Extract-transform-load (ETL) workflows model the population of enterprise data warehouses with information gathered from a large variety of heterogeneous data sources.
An estimation of exciton life-time can be calculated by numerical fitting of the transient absorption curves using an exponential decay (to model the population of filled states in the LUMO).
We model the population of infected bacteria as composed of a large number of classes, corresponding to different growth rates.
We model the population of pathogens as a metapopulation composed of subpopulations (infected hosts), where pathogens replicate and mutate.
In our model, the population of neurons in each frequency channel of ICcl acts as the hidden layer for performing multiplication of ITD- and ILD-dependent signals.
It was previously shown that for single-cell qPCR data, it is crucial to explicitly model the population of non-detects when performing a statistical test of univariate differential expression (McDavid et al., 2013).
We are, therefore, convinced that either the OGR model or the BTK model is the best available model for the population of small asteroids colliding with comet nuclei.
Model selection problems occur if the optimal model in the available sample is different from the optimal model in the population of interest.
We next introduce a population density model for the population of neurons that is structured by their phase instead of their membrane's potential.
Acceptance of the model in the population of PwD and SPs was rapidly established.
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