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Statistical models of O3 distribution that were developed based on passive sampler data are discussed in reference to models based on emissions input data.
Topics covered: basic constructions (metropolis, Gibbs sampler, data augmentation, hybrid Monte Carlo); spectral techniques (explicit diagonalization, Poincaré, and Cheeger bounds); functional inequalities (Nash, Sobolev, Log Sobolev); probabilistic techniques (coupling, stationary times, Harris recurrence).
Further analysis of multilevel sampler data suggests that most of the trapped oil remaining in the cell was likely localized in secluded regions of the aquifer, which helps explain the lower PCE groundwater concentration after remedial activities.
Sampler data were corrected for flushes and calibrated using the plasma concentrations derived from the three manual samples per subject to generate an arterial plasma input function.
Blood sampler data were corrected for delay and dispersion by fitting the early part of the sampler curve to the ascending aorta (AA) time-activity curve (TAC) using a single-tissue compartment model with additional parameters for delay and dispersion constants [32].
However, image-derived input functions require validation for each individual radiotracer and preliminary results for [11C]HED [44] have shown that late activity concentrations were overestimated in the image-derived input functions, which is in line with observations in other studies that made use of a combination of image-derived input function and blood sampler data [26],[26].
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Sample data (excerpted from current study) are provided as outlined under Data availability.
Sample data sets: available here.
provided samples, data and/or reagents.
Sampling, data collection and tabulation by Abt Associates of Cambridge, Mass.
Sampling, data collection and tabulation by SSRS of Glen Mills, Pa.
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