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Conference Spotlight
2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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Latest News
Senate EPW Committee to hold Nieh nomination hearing
Nieh
The Senate Environment and Public Works Committee will hold a nomination hearing Wednesday for Ho Nieh, President Donald Trump’s nominee to serve as commission at the Nuclear Regulatory Commission.
Trump nominated Nieh on July 30 to serve as NRC commissioner the remainder of a term that will expire June 30, 2029, as Nuclear NewsWire previously reported.
Nieh has been vice president of regulatory affairs at Southern Nuclear since 2021, though since June 2024 he has been at the Institute of Nuclear Power Operations as a loaned executive.
A return to the NRC: If confirmed by the Senate, Nieh would be returning to the NRC after three previous stints totaling nearly 20 years.
Natalie Baughan, Alexis Poitrasson-Rivière, Jonathan B. Moody, Benjamin C. Lee, Edward P. Ficaro
Nuclear Technology | Volume 206 | Number 7 | July 2020 | Pages 977-983
Technical Paper – Special section on the 2019 ANS Student Conference | doi.org/10.1080/00295450.2019.1708142
Articles are hosted by Taylor and Francis Online.
Traditional patient selection criteria for cardiac resynchronization therapy (CRT) could be improved to predict patient response to CRT. Assessment of cardiac dyssynchrony using gated myocardial perfusion single-photon emission computed tomography (SPECT) or positron emission tomography (PET) in quantification software programs can be a reliable alternative. Quantitative parameters that describe the left ventricular phase analysis histogram such as phase standard deviation, bandwidth, and entropy aid in physician decision making. Entropy has been found in previous studies to be an effective parameter in identifying patients with left ventricular cardiac dyssynchrony. In this paper, we describe the characteristics of the entropy parameter with respect to other parameters such as phase standard deviation and histogram bandwidth. The implementation and testing of the entropy metric in the Corridor4DM (4DM) software package is also described. Algorithm testing and characterization were performed using computer-generated pseudorandom normal distributions. Implementation testing in 4DM was performed with two groups of patient data: patients with a left bundle branch block (LBBB) and patients with low pretest likelihood (LLk) for coronary artery disease. Entropy was found to monotonically increase in a semilogarithmic fashion with respect to phase standard deviation. For pseudorandom normal distributions with a constant standard deviation, the number of histogram bins used in calculating the entropy metric varied the metric by up to 61.3%; on average, an increase in histogram bins from 60 to 100 increased the mean entropy value by 11.0%. Implementation testing in 4DM showed agreement with the preliminary algorithm results and found a clear separation in entropy values between LLk and LBBB patients.
