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This heuristics is iterated to obtain an optimized configuration vis-à-vis the flow aspects portrayed by the performance parameters, such as the shear stress and the residence time variations.
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In order to achieve this aim, an air-cell can be designed inside the piston body by maintaining the performance parameters.
Finally, we will evaluate the performance of proposed configuration scheme by the average values of the performance parameters.
The quadratic model generated by RSM is used to predict the performance parameters, i.e. Nusselt number and friction factor with reasonably good accuracy.
The results are generated by averaging the performance parameter through Monte Carlo simulations.
Using this split-calculation approach, we have shown that significant improvements in terms of model fit (calculated through the use of Bayes Factors) of context-dependent models are possible, by optimizing the performance-parameter tradeoff.
Further, an optimization algorithm was developed to find simultaneously the system's HC and the parameters of the proposed filter, by considering the three performance parameters as constraints.
We compare the three MAC protocols (i.e., ASO-TDMA, SO-TDMA, and CS-TDMA) in terms of CRs and delays by using the derived performance parameters.
The optimal design of a sensor system is affected by the above sensor performance parameters.
Unfortunately, a closer scrutiny of the Phrap-generated assembly (e.g., the dot plots of the contigs' alignment) reveals that Phrap's apparent superiority is without much substance – Phrap's weaknesses, as evidenced by its mis-assemblies within long contigs (see alignments in Document S1), are not captured by the N50-like performance parameters.
The performance pattern between search engines was similar: in both search engines, the best results for the primary performance parameters were achieved by strategies including the term "guideline" (highest sensitivity) and "practice guideline" (lowest NNR).
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