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The model considers the features and gain of an AC.
Consequently, the model considers the lane disaggregation of traffic data.
The model considers the probability of duplicate packet generations.
The updated model considers the dynamic nature of privacy.
The model considers the variation of surface tension with temperature.
Furthermore, the model considers the routing of the IP traffic.
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The optimization model considers the loaded contact pattern, loaded transmission error, contact strength and bending strength.
Our model considers the consequences of trading off movement time between the targets on the accuracy profile of the movements.
Our model considers the effects of 2 factors: the development (α i parameters) and the trisomy effect (β i parameters).
At this point it should be stressed that our model considers the infection from the very initial stage.
For completeness, our probabilistic model considers the likelihood of cases where an amino acid does not occur in S n.
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