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The results of a strain EMA are the modal parameters, where in addition to the displacement mode shapes the strain mode shapes are also identified.
Delivery mode shapes the microbiota's establishment and, subsequently, its role in child health.
Although the stated goal of the analysis is to understand how the replication mode shapes the mutation distribution, the treatment of mutations seems rather lightweight, by comparison to replication dynamics, and also has confusing aspects.
Using Galerkin approach and admissible mode shapes, the longitudinal and transverse frequencies are calculated.
An identification of the mode shapes, the resonant frequencies and corresponding damping ratios of these modes is obtained.
With the presented dominant modal decomposition (DMD) method, the mode shapes, the modal participation vectors and the modal scaling factors are identified using the decomposed FRF׳s.
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Here, we develop a stochastic mathematical model to infer the replication mode shaping the structure and mutation distribution of a poliovirus population in an intact single infected cell.
The mode shapes analysis show that the adhesive stiffness has a significant effect on the torsional mode shapes.
The mode shapes changed randomly in each case.
The mode shapes obtained numerically and experimentally are presented in Fig. 18.
By extracting the characteristic information from the estimated mode shape, the estimated mode can be determined to which mode it corresponds.
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