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Association rules provide an understanding of correlation between different attribute values that occur together when an accident occurs.
The focus is on the understanding of correlation of atomic-scale structural information with electronic functions by interrogating heterogeneities individually.
The chapter concludes that the understanding of correlation between structures, physical and mechanical properties is crucial for the synthetic design and control of environmentally friendly clay polymer nanocomposites.
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Soon, we'll be able to detect heart abnormalities before they reach a critical point and, using data collected from our always-in-pocket devices, advance our understanding of correlations between behavior and risk, and so on.
The approach to nanofluids as three-phase systems (instead of traditional consideration of nanofluids as two-phase systems of solid and liquid) allows for deeper understanding of correlations between the engineering parameters, nanofluid properties, and cooling performance.
This research has shown the need for a comprehensive understanding of correlations between geometry, additive manufacturing processing conditions, defect generation, and microstructure for characterization of complex components such as those designed by topology optimization.
Contemporary understanding of correlations in quantum many-body systems and in quantum phase transitions is based to a large extent on the recent intensive studies of entanglement in many-body systems.
For gaining contextual understanding of correlations we consider the contexts instead of cells, i.e. n i s ( C, t ) = ∑ c n i s ( c, t ), where the summation is over c detected as context C. We first focus on the contextual correlations of service usages with n i s ( C ) = ∑ t n i s ( C, t ).
With the advent of next-generation sequencing, one of the key problems in computational epigenomics is the poor understanding of correlations and quantitative differences between large scale data sets.
We believe that the results of the present study will contribute to a better understanding of dengue correlation with weather, especially dengue DTR correlation, and that our results confirm the value of those previous findings.
Bivariate correlation analysis (2-tailed) for better understanding of the correlation between metabolic, anthropometric, and physiological parameters was performed using the same software (SPSS version 15.0) for a better understanding of the correlation between these parameters.
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