Sentence examples for production of variability from inspiring English sources

On the other hand, transposons can be viewed as a trigger of the speciation process through the production of variability and reproductive isolation of new species.

At each step in the production of SSH data, variability can be introduced leading to potential errors.

These issues concern the clients about the stability of production and variability in aggregate properties.

Chan et al. also stipulated that targets had to be met in different stratification zones within the study area, which accounted somewhat for the site dependency of service production and variability in the spatial distribution of beneficiary needs.

Whether different mechanisms of colour production have different intrinsic levels of variability, is an intriguing issue that could be pursued further based on a more extensive sampling across bird species and coloured patches.

With the derived results, properties of variability for a production line in terms of job arrival rate, service rate and bounds on variability are examined.

Introducing a change in equipment type at the transfer to production scale adds an unnecessary level of variability.

Applying the elimination ratio for the evaluation of hepatic cytokine removal allowed us to make obtained results independent of the possible impact of variability in cytokine production resulting from comorbidities in liver transplant donor and recipients, causing death of liver graft donors.

To illustrate the range of production contrasts and variability measures across subjects, boxplots of /s/ and /∫/ productions for all subjects are provided in Figure 1A.

Areas within the field system with moderate to high levels of both average production and variability in production (determined using a climate-driven productivity model) were utilized relatively early in a highly intensified manner; these areas often underwent processes of segmentation and intensification.

Possible applications include robust design engineering, where the data that are obtained from prototypes in laboratory experiments, or from simulation codes, are used to construct models for the responses of interest to the designer, but mass-production involves variability of input factors around the specifications the designer will indicate.