Sentence examples for relation sensitivity from inspiring English sources

Exact(1)

Analytical relation between the front temperature of a single phase front, the inherent Clausius Clapeyron relation (sensitivity of the material's transformation stress with temperature), heat transfer boundary conditions and the loading rate is established to analyze the nucleation of new phase fronts.

Similar(59)

We studied the relation between sensitivity of emulsions for in-mouth coalescence and perception of fat-related attributes, such as creaminess as well as the relation with in vivo perceived and ex vivo measured friction.

This indicates a relation between sensitivity and sensing window length.

Moreover, positive affect during or after stress mediated the relation between sensitivity to reward and trait resilience.

For both assays, the optimal serum sample concentration in relation to sensitivity and recovery was 2.5% (v/v) in assay media.

Motivated by earlier investigations on the relation between sensitivity, nonlinearity and scale, the proposed solution approach is based on a reduced, composite parameter representation.

A high-dimensional features space is built using time series data of 6 channels and 22 features per channel Patient-specific predictors based on SVM are developed and evaluated in relation to sensitivity and false-prediction rate.

For in vivo fluorescence imaging, 108 nmol/kg QE or 54 nmol/kg bivQ probe was injected intravenously (i.v ., according to the results of a dose determination experiment, which was set up to identify the optimal relation between sensitivity and contrast (Additional file 1).

A complete table describing the relation between sensitivity and specificity is given in Table S3.

It has been shown that the single largest source of error in relation to sensitivity in searching is errors in conceptualization of the search [61].

Also, despite a relatively large sample size in relation to sensitivity evaluation, our study was probably too small to identify factors important for predicting false negative and discordant test results.

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