Sentence examples for required variability of from inspiring English sources

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The Vignette Generator can provide the required variability of the experiments with great convenience and is time-saving for the experimenter.

Similar(59)

Despite the possibility of requiring variability by composing heterotetramers with additional isoenzymes, it is also possible that paralogs are retained because GAPDH is also involved in the maintenance of specific subcellular structures, e.g. the bundling of microtubules [ 88].

Rainfall, vegetation characteristics and soil hydraulic properties influence deep drainage patterns in agricultural landscapes, but more information is required on the variability of their interactions with site conditions.

Finally, we think that modelling of the atmospheric planetary wave spectrum in the extra-long period wave band requires the full variability of solar input data.

PBPK modelling is required to predict the variability of the resulting internal doses.

This process is repeated a large number of times (e.g. 1000 times) to provide the required information on the variability of the estimator.

In our case, these reasons together with the low number of different haplotypes found have reduced in more than 90% the number of sequencing reactions potentially required to characterise the variability of eIF4E in our collection of melon accessions.

Repeating the process a larger number of times provides the required information on the variability of the estimator, since the standard error is estimated from the standard deviation of the statistics derived from the bootstrap samples.

Virchow isolates in this study using PCR (Additional file 6: Table S6); however, further whole-genome sequencing would be required to determine the variability of this region amongst other strains of S. Virchow.

This suggests that further study is required to understand the variability of benzene and toluene concentrations at home in order to identify concentrations representative of home microenvironments that can be used in subject-independent prediction models.

The authors proposed an ensemble averaging technique that has been gradually refined in terms of its sensitivity to jitter, waveform variability, and required number of pulses.

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