Sentence examples for characterizes the sensitivity of from inspiring English sources

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The topological derivative is a function which characterizes the sensitivity of a given problem to the change of its topology, like opening a small hole in a continuum or changing the connectivity of rods in a truss.

This derivative characterizes the sensitivity of the problem when a small hole is created at each point of the domain.

Similar(58)

Since more differentiated cells were less sensitive to NK cell mediated lysis, we aimed at characterizing the sensitivity of iPSCs as well as their parental line to NK cell mediated lysis.

A Damköhler criterion is proposed in order to characterize the sensitivity of the induction chemistry to turbulence fluctuations.

The adsorption energies and changes in geometric and electronic structures after the adsorption were analyzed to characterize the sensitivity of Ni-SWCNTs toward SO2 molecules.

To facilitate the analysis of distributional data in a general experimental setting, we introduce a computational framework to efficiently characterize the sensitivity of distributional output to changes in external stimuli.

In this study, we characterize the sensitivity of both vitellogenin gene (vtg) mRNA transcripts in liver and protein (VTG) in plasma over a range of concentrations and exposure durations.

To characterize the sensitivity of this approach, we investigated the behavior of a liver cell model with respect to variations of two cell culture parameters in a microfluidic bioreactor: inoculated cell density (0.35 × 106, 0.45 × 106 and 0.65 × 106 cells/bioreactor) and microfluidic flow rates (0, 10 and 25 μL/min).

The PAPR is often taken as reference to characterize the sensitivity of a signal to non-linear distortions introduced by a non-linear power amplifier (NL PA).

Although we can only speculate as to which set of allometric models produces a more accurate estimate of field biomass, it is important to characterize the sensitivity of biomass maps to allometric model selection.

This framework allows us to characterize the sensitivity of different model neurons to the detailed temporal structure of incoming stimuli.

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