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Each job in each plant was assigned an exposure score by the JEM.
Blair et al. (2003) used monitoring data from other studies of the dry-cleaning industry to assign an exposure score to the jobs held.
Individuals are grouped according to shared attributes, such as job title or work area, and assigned an exposure score, usually the mean of some concentration measurements made on samples drawn from the group.
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In another study, Coghlin et al. (1989) found a strong correlation between an SHS exposure score (duration in hours × number of smokers × proximity of smokers) with log-transformed nicotine (r = 0.91) in 19 nonsmoking volunteers (nicotine level median, 2.0 μg/m).
The four scores were summed to generate a "total exposure score," with a maximum possible score of 40 (see Supplemental Material, Table 1).
A solvent exposure score and a quality score are then computed for each peptide, as the average of the scores of its constituent residues.
A Fight Exposure Score (FES) had previously been derived as a function of cumulative fights and intensity of exposure (ie, total number of professional fights and number of professional fights per year; see table 1) and was also evaluated in this study.
Finally, a combat exposure score between 0 and 6 was created based on one point for an affirmative response to each form of exposure.
A combustion exposure score was derived by adding up the number of reported combustion exposures in the week preceding their blood draw.
Each peptide was assigned a solvent exposure score (mean of individual Naccess scores of the 20 residues) and a local model quality score (mean of individual V3D scores of the 20 residues).
Moderate intensities of exposure were associated with 10 10% of the PEL and a moderate level by Sharp et al. (1991), and low intensities were < 10% of the PEL with a low exposure score, according to Sharp et al. (1991).
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