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Simulation and clinical results in deep hypotensive controls at 40mmHg on pigs indicate the safety and stability of designed controller.
The thermal and mechanical stability of designed nanostructured filter could allow them to compete with typical commercially used.
The role of electrostatic interactions in determining the stability of designed proteins was studied by constructing and analyzing a set of designed variants of the Drosophila engrailed homeodomain.
Our laboratory has shown that such studies provide detailed insight into the assembly and stability of designed metalloproteins, allow for parsing apart the free energy contributions of metal ligand interactions from those of porphyrin protein interactions in hemeproteins, and even reveal their mechanisms of proton-coupled electron transfer.
∗: For novelty, some uncertain parameters are initially handled in Lyapunov Krasovskii functional which ensures the sufficient conditions for global exponential stability of designed neural networks.
For novelty, some uncertain parameters are initially handled in Lyapunov Krasovskii functional which ensures the sufficient conditions for global exponential stability of designed neural networks.
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Uncertain parameters, Markovian jumping, stochastic noises, and leakage delays are taken into account in the stability analysis of designing BAM neural networks with mixed time delays.
The main contributions of this research work are highlighted as follows: ∗: Uncertain parameters, Markovian jumping, stochastic noises, and leakage delays are taken into account in the stability analysis of designing BAM neural networks with mixed time delays.
In the design and applications of networks, the stability of the designed BAM NNs is one of the most important issues (see, e.g., [9 12]).
To illustrate the stability of the designed filter, the maximum pole radius is shown in Figure 3 e), which shows that the designed filter is stable since the poles are all inside the unit circle for.
Among the various possibilities, use of stereochemistry as a design tool has potential to determine both functional specificity and metabolic stability of the designed polypeptides.
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