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It's a matter of reservoir dynamics, understanding what's there, analyzing and understanding information.
The reason for this is how reservoir dynamics interacts with the dynamics of the production system.
Hosmane, N. N. et al. Proliferation of latently infected CD4+ T cells carrying replication-competent HIV-1: potential role in latent reservoir dynamics.
We show that the NARX network can be efficiently applied to multivariate multi-step ahead prediction of reservoir dynamics.
The proposed model comprises reservoir dynamics and multiphase flow, relying on multidimensional piecewise linearization to formulate the layout design problem as a MILP.
The developed methods are applied to an example from oil reservoir engineering, being the estimation of reservoir dynamics from measurements at the well bore.
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Thus, an understanding of reservoir infection dynamics is essential.
When disease can be controlled solely by interventions within target populations, little knowledge of potentially complex reservoir infection dynamics is necessary for effective control.
Further work is required to understand how ecological factors, reservoir population dynamics, and human behavior combine to influence the risk of cross-species transmission (Lloyd-Smith et al., 2009).
In addition, a growing number of observations showed that measurement of HIV-1 DNA proviral load could provide crucial information on the reservoir and dynamics of HIV-1 infection [ 5, 6] since the persistence of HIV-DNA in peripheral blood mononuclear cells (PBMC) and lymph nodes is a major drawback to eradication of infection [ 7, 8].
The model is formed by a dynamical reservoir reproducing the dynamics of a cortical module interacting with the selection mechanism within the basal ganglia which is implemented similarly to what done in Gurney et al.
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