Sentence examples for correlation characterization from inspiring English sources

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The spectral correlation characterization of MCM signal can be described by a special linear periodic time-variant (LPTV) system.

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Crystal structure analysis, molecular dynamics (MD) simulations and ab initio electron correlation characterizations of CETP SBH-peptide CETP SBH-peptideevealed that the Phe471 residue plays a key role in SBH-peptide binding, whicomplexform a π-π systemng with the Phe197 revealedof CEthat

In line with the two components above, a set of numerical algorithms is presented for characterization and reconstruction of two-phase materials from microscopic images: these include grayscale image binarization, point-correlation and cluster-correlation characterization, and simulated annealing algorithm for microstructure reconstruction.

The technique involves digital image correlation based characterization of surface speeds followed by normalization with respect to angular speed during rigid body rotational motion of the specimen.

In this study, morphometric data from the Lucia Chica Channel System, offshore California, provides high-resolution 3-D information that is used to constrain correlation and characterization of ancient submarine channel fill deposits.

The expression correlation, functional characterization, and length of the interacting proteins emerge as the major factors for the predictions.

In this article, we review and offer further in-depth analyses in three key aspects of recent nanolaser research, including second order intensity correlation, g2, characterizations, direct modulation and electromagnetic isolation in a dual nanolaser system.

A number of works were devoted to implementation of high-order multipoint correlation functions in characterization of the microstructure.

One of the fundamental works (Debye et al. 1957) studied application of correlation functions to characterization of X-ray scattering data from porous materials with random distribution of microstructural properties.

Structure determination from solid-state NMR data typically follows the approach employed by solution-state NMR, namely assignment of backbone and side chain resonances using pulse sequences for sequential correlation of resonances, characterization of torsion angles and detection of tertiary contacts.

These gaps compromise diagnostic evaluation, endophenotype differentiation, clinicopathological correlation, and epidemiological characterization.

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