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Burlaga et al. (1981) confirmed the basic picture of Gold using in situ data by identifying the shock, sheath, and the driving magnetic structure.
In those cases we have used the information redundancy to correct 20% of the data by identifying the starting position of one trip with the ending position of the previous one.
Principal component analysis (PCA) was used to further examine the correlational structure of the data by identifying the number of independent components required to explain the majority of the variability in ROI VT values.
In summary, these data, by identifying the EH and ESO3H formation in EC exposed to hGluc, highlight the cellular antioxidant properties of Egt, whose peculiar redox behavior makes it an attractive candidate for the prevention of oxidative stress-associated endothelial dysfunction during hyperglycemia.
The editing style approach involves segmenting the data by identifying the information most pertinent to the research questions.
In this regard, mathematical modeling can provide a crucial tool for the correct interpretation of epidemiologic data by identifying the processes responsible for generating observed time trends and characterizing their potential implications for public health programs.
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Hence, normalizing the data model by identifying the entity/relationship entities are not top priorities.
DA provided with data reduction, by identifying the most important parameters, which; needs to be monitored in order to study the spatial and temporal variations in water quality.
As a consequence, to evaluate its value, the first step is to perform an enhanced data collection by identifying the most frequent disturbances and by pointing out the critical streams i.e. the streams whose output temperature absolutely needs to be kept into a strict interval; then, given this information, a robustness criterion can be formulated for a given HEN.
Cross-registration of bone surface models frof the CT data was accomplished bonedentifying the regisurfacen block surfaces within the CT imodels
Consequently, given a data set and a given model for analysis, we chose the data-generation method by identifying the one that yielded a distribution of p-values that most closely matched that produced by the given (real) data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com