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Conference Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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Ho Nieh nominated to the NRC
Nieh
President Trump recently nominated Ho Nieh for the role of commissioner in the Nuclear Regulatory Commission through the remainder of a term that will expire June 30, 2029.
Nieh has been the vice president of regulatory affairs at Southern Nuclear since 2021, though he is currently working as a loaned executive at the Institute of Nuclear Power Operations, where he has been for more than a year.
Nieh’s experience: Nieh started his career at the Knolls Atomic Power Laboratory, where he worked primarily as a nuclear plant engineer and contributed as a civilian instructor in the U.S. Navy’s Nuclear Power Program.
From there, he joined the NRC in 1997 as a project engineer. In more than 19 years of service at the organization, he served in a variety of key leadership roles, including division director of Reactor Projects, division director of Inspection and Regional Support, and director of the Office of Nuclear Reactor Regulation.
J. V. Sandberg, J. T. Routti
Nuclear Technology | Volume 63 | Number 1 | October 1983 | Pages 170-175
Technical Paper | Technique | doi.org/10.13182/NT83-A33312
Articles are hosted by Taylor and Francis Online.
The LOUHI82 program is a general purpose least-squares unfolding program. It is based on the minimization of the weighted square sum of the fitting errors of activities and several alternative terms related to the smoothness and assumed shape of the solution, allowing varying degrees of a priori information. The LOUHI82 program is a new version of the LOUHI-type unfolding programs, which have been used for fast neutron and high energy hadron spectrum unfolding. The number of energy points in the new version is 100, which makes it possible to simultaneously cover the intermediate and fast reactor neutron spectrum. In unfolding a reactor spectrum measured with an eight-component resonance and a nine-component threshold reaction detector, physically acceptable solutions were obtained using stronger and weaker a priori information.