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The integrated exposure uptake biokinetic model for lead in children was developed to provide plausible blood lead distributions corresponding to particular combinations of multimedia lead exposure.
These estimates of lead release into synthetic saliva were used to predict child blood lead concentration increases using the IEUBK toxicokinetic model for lead (windows version 1.1).
The U.S. Environmental Protection Agency employs a model, the integrated exposure biokinetic (IEUBK) model for lead in children, for the assessment of risks to children posed by environmental lead at hazardous waste sites.
This paper describes a new age-specific biokinetic model for lead originally developed for the ICRP but expanded to include additional features that are useful for consideration of lead as a chemical toxin.
This paper addresses the comparison of observed and predicted estimates as one component of model validation as applied to the integrated exposure uptake biokinetic (IEUBK) model for lead in children.
We calculated the predicted mean blood lead levels (BLLs) that would result from lead exposures at each site by entering the soil and drinking-water lead levels measured at each site into the U.S. EPA's Integrated Exposure, Uptake and Biokinetic (IEUBK) model for lead and Adult Lead Methodology (ALM) (Caravanos et al. 2012; U.S. EPA 1994; White et al. 1998).
Data are lacking to do a Zamfara-specific integrated exposure uptake biokinetic model for lead in children (U.S. EPA 2002b) because the model uses a series of U.S.-centric assumptions on dietary intake, living in houses with nonsoil floors, and other factors.
Multi-task learning is a valuable approach for inferring multi-target QSAR models for lead optimization.
In this study, response surface methodology (RS M and artificial neural network (ANN) were employed to develop prediction models for lead removal from industrial sludge leachate using red mud.
With high expectation about this advanced coolant, a multi-national systematic study on LBE was proposed in 2007, which covers benchmarking of thermal hydraulic prediction models for Lead-Alloy Cooled Advanced Nuclear Energy System LACANESS).
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