Sentence examples for data on the interrelationships from inspiring English sources

Its broader utilization demands the accumulation of in-situ comprehensive data on the interrelationships between process parameters and end-product mechanical behavior.

Recent data on the interrelationships between toxicity, cell proliferation, and carcinogenicity are presented.

However, data on the interrelationships between BML size, pain, and structural progression are inconsistent and rarely examined in the same cohort.

There are only limited amount of data on the interrelationships between different inflammatory cell types (Nagtegaal et al, 2001) and inflammatory cell reaction grading methods (Roxburgh et al, 2009b; Richards et al, 2012a) in CRC, which would be essential in evaluating their relative significance.

One of the fundamental problems is the lack of data on the statistical variability of, and the interrelationship between, different effects such as sporadic E, spread F, blobs and patches, irregularity formation, and changes in the height profile of electron density.

From an applied viewpoint, we present the first systemic risk model based on big data, and show that such a model can shed further light on the interrelationships between financial institutions.

As has been the result in DNA-based studies, even comprehensive morphological data were not able to bring forth strong support for any particular hypothesis on the interrelationships of the backbone Ditrysia.

Our present study provided important data on the contributions of individual cell types to K M score and the interrelationships between different cell types, adding to the understanding of CRC-associated inflammatory reactions.

This preliminary step is helpful in assessing the suitability of the data set and will provide an understanding of the implications of the methodological choices depending on the interrelationships between them.

I also reflected on the interrelationships between categories and subcategories to assess which of those relationships best captured what was happening in the data, and then I raised them at the next stage to develop analytic models.

The level of normalization is totally dependent on the interrelationships among the key and nonkey attributes.