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To evaluate the proposed approach, we gathered five years (2009 2013) of Illinois run-off-road (ROR) crash data and identified the roadside features (i.e., clear zone widths and sideslopes) of 4500 300 ft roadway segments.
The results here highlight the utility of using third-party verification to improve data quality of self-reported data, and identified the logistical, database, and analytical challenges to effectively monitor fishery quotas.
We searched the T1DBase [9] which hosts T1D related genetic and expression data and identified the study by Vukkadapu et al. [4] as the only suitable for our analysis.
A committee of physicians reviewed all the clinical data and identified the fatigued subjects who could be classified as CFS individuals.
Each of the researchers read the definitions and contextual data and identified the key constructs of individualisation, which informed the data extraction template.
In Step I, we compared the gene essentiality of iNJ661m with experimental in vivo data and identified the set of FP and FN predictions.
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The new data set has much to recommend it over existing compilations: completeness of the data set and transparency of the data and methods, plus new methods for averaging the data and identifying the urban heat island effect.
A numerical algorithm is then developed to post-process the experimental data and identify the joint force.
In the following section, we present our empirical analysis of Kiva data and identify the impact of rivalry.
The subsequent quantitative rating of those data allows for ordering such data and identifying the most important for further use in the research process.
We examine the ETX metric's behavior in detail with respect to the MAC layer and UDP data; and identify the causes of its unreliability.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com