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We demonstrate through simulation experiments under realistic workload models that the proposed mechanisms are able to satisfy QoS requirements of the most valuable users classes, without impacting too negatively on the other users.
Evaluating the performance of the reduced mechanisms with respect to the full mechanism and experimental data shows that the mechanisms are able to predict the combustion properties almost at the same accuracy level as the Konnov mechanism, but at a nearly five times less CPU time expense.
Such mechanisms are able to prioritize RT-traffic over other traffic, without directly controlling the latter.
It then appears that many different models from very different physical mechanisms are able to reproduce the frequency magnitude distribution of the seismicity in EGS reservoirs.
In particular, the examples with natural video sequences provided in this paper demonstrate that neural circuits with nonlinear receptive fields and highly nonlinear spike generating mechanisms are able to faithfully represent natural visual stimuli.
These instances are partly as a result of the direct communication pathway (Figure 2) and also due to the inevitable lag-time before official mechanisms are able to work.
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The mechanistic modeling of the fatigue mechanisms was able to accommodate the complex temperature variations and loading conditions of the field pavements in a rigorous manner.
A computational flow model incorporating current Si/H/O chemical mechanisms is able to qualitatively reproduce some aspects of the observed profiles, but significant discrepancies remain.
It was found that when proper thermodynamic assumptions are used, all mechanisms were able to accurately predict the experiments with superior performance from the well-validated AramcoMech 2.0 and Burke et al. mechanisms.
The combination of two postulated types of regulatory mechanisms was able to explain this observation.
We assume that the synergy of these mechanisms is able to improve systolic function and consequently increase systolic BP.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com