Possible genotoxic modes of action for naphthalene.

This report provides a summary of deliberations conducted under the charge for members of Module D participating in the Naphthalene State-of-the-Science Symposium (NS(3)), Monterey, CA, October 9-12, 2006. The charge directed the panel to ascertain to the best of its ability a consensus judgment of the state-of-the-science concerning the potential for a genotoxic mode of action for naphthalene and its metabolites, with implications for low-dose extrapolations of cancer risk estimates for exposed populations. Where scientific uncertainties remained, the panel was asked to identify which scientific uncertainties (if any) could be resolved through targeted, timely, cost-effective research.

A stochastic regression approach to analyzing thermodynamic uncertainty in chemical speciation modeling.

Chemical speciation modeling is a vital tool for assessing the bioavailability of inorganic species, yet significant uncertainties in thermodynamic parameters and model form limit its potential for decision-making. In this paper we present a novel method for the quantification of thermodynamic parameter uncertainty and ionic strength correction model uncertainty using Bayesian Markov Chain Monte Carlo (MCMC) estimation methods. These methods allow for the inclusion of correlation modeling, which has not been present in previous work.