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One scenario is that robustness is key driving force in evolution of metabolic-network structure and that this weakly modular structure above comes from trade-offs between robustness-increasing and robustness-decreasing changes in modularity.
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Miniaturization and high environmental (temperature and radiation) robustness are key requirements for scientific instrument design toward a sensor network consisting of palm-sized probes.
Although computationally more expensive approaches, the Reynolds Stress Model (RS M and Large Eddy Simulation (LES), have demonstrated a high capability of dealing with such flows, these techniques are often unsuited for use in complex design studies where computational speed and robustness are key factors.
Robustness is a key attribute of spread spectrum (SS) watermarking scheme.
Therefore, accomplishing noise robustness is a key issue to make these systems deployable in real world conditions.
The implication is that, when robustness is a key requirement, designs within the face failure domain are preferred.
Since the tracking device has to work in an environment that is hostile for wireless communication, robustness is a key factor.
This paper addresses the problem of operating mode management in Discrete Event Systems, which is studied within the general framework of dependable systems for which robustness is a key requirement.
Since a trade-off between sensitivity and robustness is a key feature of homeostasis and may be vital for the survival of organisms [33], [34], these properties have been used for validating models of biological processes [27].
Robustness is a key feature of cellular behaviour, but an appropriate response time is also critical.
Although robustness is a key property of biological networks [ 11, 29, 30] there is no consistent definition of network robustness.
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