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Note that each of the modeling options may be supplemented with source apportionment data or source apportionment modeling.
SH carried out the Northern blot studies and analysed UTR apportionment data.
A few epidemiological studies have used source apportionment data as explanatory variables in their examinations of PM health effects [ 28, 29].
Source apportionment data in the LH drivers, P&D drivers, and dockworkers indicated that most (~ 80% or greater) of the EC was from diesel sources with a smaller percentage from spark-ignition vehicles and lubricating oil (Sheesley et al. 2008a).
Other indirect evidence that components of fossil fuel combustion are important comes from studies using surrogate measures of particle composition such as black smoke, proximity of homes to traffic, or source apportionment data.
Taking the size of these 3′ UTR (range 177 to 473 bases) as a proportion of the total UTR available from Northern blots provides a more discreet set of apportionment data with a median 5′ UTR apportionment of 78.2% (range 70 86.1%).
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Few epidemiologic studies, however, have included source-apportionment data in their examinations of PM health effects (Ito et al. 2006; Laden et al. 2000; Mar et al. 2000, 2006; Ozkaynak and Thurston 1987; Schreuder et al. 2006).
This study highlights the usefulness of multivariate statistical techniques for the evaluation and interpretation of complex water quality data sets, apportionment of pollution sources/factors and the design of a monitoring network for the effective management of water resources.
Investigating the apportionment of the pooled data from Neolithic sites and surname based into eastern Provence (n = 127) and western Provence (n = 292) the data showed a 12% Greek component and an 18% Neolithic component to eastern Provence, while attesting a 19% Greek component and a 0% Neolithic component to Western Provence.
In terms of the size and apportionment of UTR, our data would indicate; (i) that UTR are long, typically some 800 1800 bases, (ii) that the size of the UTR is independent of the size of the coding sequence and (iii) that 70-80% of the UTR is preferentially apportioned 5′ of the ORF.
Overall, however, although there are no gold standard correct answers for the source identification and apportionments in the real-world data sets considered in this workshop, the apportionment consistency in the largest PM2.5 source contributors across researchers in these cities, often using differing statistical methods, indicates reliability in the source apportionment approach.
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