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Implications for the interpretation of data obtained from FIB-milled micropillars are discussed.
Our research confirmed a three-factor approach as the most appropriate for the interpretation of data.
The coefficients obtained in linearization are highly relevant for the interpretation of data derived from the adsorption process.
Appropriate statistical analysis is important for the proper construction of these libraries and even more important for the interpretation of data from these libraries.
The application of hierarchical classification approach is well known for the interpretation of data and provides a valuable tool for reliable and effective monitoring and management (Singh et al. 2009).
An experimental investigation was carried out in order to test the suitability of fluid-dynamic models for the interpretation of data for multistage mixer columns of the RDC and Mixco types.
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KQY, QX and XLD were responsible for generating the RNA-seq data and for the interpretation of the data.
Direct assessment of the vascular status with MRI also provides crucial information for the interpretation of PET data.
The implications of these findings for modelling and for the interpretation of experimental data are discussed.
In the present paper, we propose a kinetic model for the interpretation of these data.
We introduced two new response functions which can be exploited for the interpretation of MT data.
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