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Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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Remembering ANS member Gil Brown
Brown
The nuclear community is mourning the loss of Gilbert Brown, who passed away on July 11 at the age of 77 following a battle with cancer.
Brown, an American Nuclear Society Fellow and an ANS member for nearly 50 years, joined the faculty at Lowell Technological Institute—now the University of Massachusetts–Lowell—in 1973 and remained there for the rest of his career. He eventually became director of the UMass Lowell nuclear engineering program. After his retirement, he remained an emeritus professor at the university.
Sukesh Aghara, chair of the Nuclear Engineering Department Heads Organization, noted in an email to NEDHO members and others that “Gil was a relentless advocate for nuclear energy and a deeply respected member of our professional community. He was also a kind and generous friend—and one of the reasons I ended up at UMass Lowell. He served the university with great dedication. . . . Within NEDHO, Gil was a steady presence and served for many years as our treasurer. His contributions to nuclear engineering education and to this community will be dearly missed.”
D. Lynn Shaeffer, F. Owen Hoffman
Nuclear Technology | Volume 45 | Number 1 | August 1979 | Pages 99-106
Technical Paper | Radioactive Waste | doi.org/10.13182/NT79-A32288
Articles are hosted by Taylor and Francis Online.
An analysis was made of the uncertainty in the prediction of dose to an individual’s thyroid due to the transport of radioactive molecular iodine, 131I2, from air through the pasture-cow-milk pathway. This analysis was facilitated by the adoption of a model consisting of a multiplication of several factors represented by lognormal distributions of values. Results indicate there is a 64, 50, or 23% chance of the annual dose to an individual’s thyroid not exceeding the mean, median, or most probable doses, respectively. However, these results are tentative as a result of the limited amount of data available for annual average dose assessments. The suggestion is made that consideration be given to adopting a probabilistic approach to determining an acceptable probability of an individual receiving a dose that exceeds a limiting value.
