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2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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Empowering the next generation: ANS’s newest book focuses on careers in nuclear energy
A new career guide for the nuclear energy industry is now available: The Nuclear Empowered Workforce by Earnestine Johnson. Drawing on more than 30 years of experience across 16 nuclear facilities, Johnson offers a practical, insightful look into some of the many career paths available in commercial nuclear power. To mark the release, Johnson sat down with Nuclear News for a wide-ranging conversation about her career, her motivation for writing the book, and her advice for the next generation of nuclear professionals.
When Johnson began her career at engineering services company Stone & Webster, she entered a field still reeling from the effects of the Three Mile Island incident in 1979, nearly 15 years earlier. Her hiring cohort was the first group of new engineering graduates the company had brought on since TMI, a reflection of the industry-wide pause in nuclear construction. Her first long-term assignment—at the Millstone site in Waterford, Conn., helping resolve design issues stemming from TMI—marked the beginning of a long and varied career that spanned positions across the country.
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.
