CPURCentre for Population and Urban Research (Australia)
CPURCertified Professional in Utilization Review
CPURCalifornia Pesticide Use Reporting Database
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If our senses make up our "outer sense" and "the sum of all Vorstellungen" (CPuR A 177/B 220) which is our "inner sense" effecting a "modification of the mind" (CPuR A 98), then the Einbildungskraft is the faculty in which perceptual modification takes on a life of its own.
The same relation of immediacy and dependency applies to the third level of cognition, "apperception", the Vorstellung of the "I" (CPuR B 68).
determined [by reality], and to this order apprehension is bound down" (CPuR A 192/B 237; my emphasis).
Only through their union can knowledge arise" (CPuR A 51/B 75).
The CROP method uses both CPUR data and land use maps created for each residence.
We used the Wilcoxon signed rank test to compare the distributions of paired densities of pesticide use (kilograms per square kilometer) using the CPUR and CROP metrics and Spearman rank correlation coefficients (ps) to assess the association between the two metrics and concentrations of pesticides (nanograms per gram) in dust.
Independent variables in the models included the CPUR or CROP metrics, self-reported home and garden use of pesticides by pest treated (use in the preceding 12 months, yes or no), potential occupational pesticide exposure (anyone in the household employed during the preceding 12 months for each occupation, yes or no) and the year (continuous variable from 2001 to 2006, centered by subtracting 2000) and season of dust collection (winter = 1, spring = 2, summer = 3, and fall = 4).
The median density of agricultural pesticide use during the 365 days before collection of dust ranged from 1 [kg/km.sup.2] (carbaryl) to 33 [kg/km.sup.2] (chlorthal-dimethyl) among residences classified as being within 1,250 m of agricultural use according to CPUR or CROP metrics (Table 2).
The California Pesticide Use Reporting (CPUR) data have been used as a surrogate for exposure in a number of environmental epidemiologic studies (Bell et al.
Here we present results of a study to develop an exposure metric to improve the spatial resolution of the CPUR data so that proximity to pesticide use within the reporting unit of a Section can be included in exposure assessment.
We used three datasets: the CPUR pesticide database (CDPR 2000), crop maps from the California Department of Water Resources (CDWR), and residence locations from a childhood cancer study conducted by the California Department of Health Services (CDHS).
In a GIS, we linked the CPUR crop-specific pesticide use for each Section in the three study counties to the CDWR crop maps for the corresponding Sections.