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The parametrization method of dynamically scaled wing with the non-dimensional conformal feature of fruit fly's wing is firstly developed for the optimization involving the WGP.
This paper presents a method of dynamically validating the FE model by comparing experimental modal analysis (EMA) data measured from a manufactured racket with the mode shapes calculated by the finite element analysis software.
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We demonstrated the more general applicability of this method to dynamically track receptor-mediated phagocytosis by monitoring internalization of FITC-labeled fibronectin beads in NIH 3T3 fibroblast cells.
A novel manifold method of reconstructing dynamically evolving spatial fields is presented for assimilating data from sensor networks in integrated land surface – subsurface, oceanic/lake models.
Here we present the development of a method for dynamically varying AFM cantilever stiffness that takes advantage of precise AFM feedback control to create changes in the external rigidity felt by active samples.
Section 5 presents the proposed method to dynamically evaluate the number of decoding iterations and the level of sub-block parallelism that have to be used to reach throughput and BER objectives.
Then, a low-complexity method to dynamically estimate the number of decoding iterations with respect to the level of sub-block parallelism, which is suitable for run-time execution, is proposed.
These results suggest that one can use this approach as a general method to dynamically track the path of individual beads, pathogens, etc. from the point of binding to the stage of phagosomal acidification through the simple conjugation of a pH sensitive probe such as FITC.
security.Security class offers a set of methods to dynamically read and modify properties from the java.security file.
In this study, we have presented an AFM-based method for dynamically changing the apparent stiffness of the microenvironment surrounding a cell.
Particularly, because detection of circulating miR-200c is available at any time point during follow-up, it may be an efficacious method for dynamically monitoring the prognosis and evaluating recurrence risk for cancer patients.
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