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UM researcher develops new way to assess risk for chemicals
Date:12/21/2011

hich I strongly believe in as a basis for management of ever-progressing chemical technology and for microbial dose-response assessment as well."

The paper is titled "A Gradient Markov Chain Monte Carlo Algorithm for Computing Multivariate Maximum Likelihood Estimates and Posterior Distributions: Mixture Dose-Response Assessment." Co-authors are Ruochen Li, financial systems analyst, at the Hang Seng Bank, Shanghai, China and Xiaoguang Li, postdoctoral associate, at Fudan University, Shanghai, China.

Englehardt is now overseeing work on a method to detect risk in drinking water in real time, directly from sensor data. That work is part of a current project, sponsored by the National Science Foundation, to build an autonomous net-zero water residence hall on the University of Miami campus. All wastewater from the residence hall will be converted to drinking water, for return to the residence hall in a closed loop process. During the research, student residents will not drink or cook with the water, but will use it for all other purposes.
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Contact: Catharine Skipp
c.skipp@miami.edu
305-284-3667
University of Miami
Source:Eurekalert

Page: 1 2

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