Sentence examples for variation methods to from inspiring English sources

Exact(2)

High-resolution transmission electron microscopy is utilized to examine the crystal structure of a silicon nitride ceramic using focus variation methods to achieve sub-ångström resolution at the absolute theoretical information limit of the transmission electron microscope.

We use the variation methods to solve problem (1.1).

Similar(58)

The optimization approach uses a derivative variation method to efficiently identify the optimization range through analyzing the first order derivatives of the optimized quantity and the non-linear deviation profile of the derivative value.

In this paper, based on the known flexural stiffness for a bimodular thin plate in small-deflection bending, we establish the von Kármán equations with different moduli in tension and compression and then use the perturbation method and the displacement variation method to solve the problem, respectively.

She is currently working on the optimal design of genetic variation discovery studies using the new sequencing technologies, methods for the analysis of copy-number variation data, methods to test for the effect of rare variants in complex traits, and two-stage designs in genome-wide association studies.

While hospital differences in case mix may account for mortality rate variation, few methods to evaluate illness severity for HIV-associated CAP have been reported previously.

Heterogeneity between articles was considered by fitting a random-effects model, with the inverse variation method used to weight articles' effect sizes (30).

The offset observation and slope variation methods were used to determine the crack opening and closure stress levels.

It is important to note, however, that this heterogeneity not only reflects biological variation, but also technical variation in the methods to produce synthetic oligomers or to isolate them from biological tissues [ 12].

We proposed to take advantage of anatomical priors and total variation (TV) minimization methods to reconstruct PET activity distribution form incomplete measurement data.

DCM represents a fundamental variation from alternative methods to estimate connectivity because it employs a generative model of measured brain responses that takes into account their nonlinear and dynamic nature.

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