Sentence examples for by identifying a maximum from inspiring English sources

The parameter D is self-consistently chosen by identifying a maximum equivalent Mises stress in the plastic zone with that predicted by a phenomenological strength law of the type first used by Taylor and Orowan, in which strength varies inversely with nominal dislocation spacing or with cell size, either of which is identified as D in different interpretations of the model.

Kotliar et al. improved on this method by identifying a maximum vessel dilation after only 10 seconds of flicker [ 28].

We begin by identifying a crestline on that surface which indicates the maximum extent of the cranial defect margin.

The quantitative DEP response measurements in Figures 2d and 3 suggest that particular C. difficile strains may be separated from each other based on their characteristic electrophysiology, by identifying an appropriate frequency with maximum differences in the magnitude and direction of the DEP force.

The freestream and jet controlling parameters are treated as input sources of variation, and a point-collocation non-intrusive polynomial chaos (NIPC) method is utilized to quantify the variations in the output surface heat flux and total surface heat load acting on the blunt body by identifying the maximum and minimum of surrogate response values predicted by the NIPC.

By identifying the maximum pore throat size with the known minimum entry pressure (Pd), the results of 150 MICP curves matching have been shown in Fig. 4.

Traditionally, cytotoxic drugs have been optimised by identifying the maximum tolerated dose of the agent, and screening for efficacy based on tumour shrinkage.

This is an attempt to create exhaustive database by identifying maximum possible number of attributes for robot manipulators.

Tech entrepreneurs can do their part by identifying their "local maximum".

Although the correlation between global gene expression and protein abundance is unclear, by identifying paths of maximum correlated gene expression we are focusing only on regions within the metabolic network where the expression signal is strong and are, therefore, more likely to possess a specific biological function.

Okada et al. conducted pattern classifications within single small cubes of data in the left and right anterior and posterior STS (and the right mid-STS), defined in each subject by identifying local maxima within these regions in the univariate contrast of (clear − rot).