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To evaluate the influence of the optimized metric, we performed experiments optimizing the AUC, a measure for the overall performance, and the BEDROC score, an early enrichment metric.
The coupling dynamics theory of the vehicle and track is also used to investigate the effect of the improved profile on the dynamical behavior of the vehicle, and the rolling contact theory is hired to analysis the influence of the optimized wheel profile under the wheel/rail contact status.
Then, the influence of the optimized VS performance measure is discussed.
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The optimized VS metric has a considerable influence on the optimized weights.
Variations in implant characteristics and interfacial connectivity were investigated to examine how these variables influence the layout of the optimized implant.
The influence of the parameters and the optimized conditions of the improved analytical methods are presented.
Meanwhile, the neural network is applied to investigate the influence of parameters on the optimized functions which thus guides the evolutionary direction of genetic algorithm.
In both cases the influence of optimized parameters has its greatest impact at sequence identities ≤ 55% APSI.
It was also studied the influence of the size of the domain (environment) in the optimized geometry of the horn.
The swelling and degradation of the optimized beads were influenced by pH of test mediums.
The swelling and degradation of the optimized beads was influenced by the pH of test mediums, which might be suitable for intestinal drug delivery.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com