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Radiation Protection & Shielding
The Radiation Protection and Shielding Division is developing and promoting radiation protection and shielding aspects of nuclear science and technology — including interaction of nuclear radiation with materials and biological systems, instruments and techniques for the measurement of nuclear radiation fields, and radiation shield design and evaluation.
2020 ANS Virtual Winter Meeting
November 16–19, 2020
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U.S. reactor technologies to be featured at IAEA conference
A virtual side event at the 64th General Conference of the International Atomic Energy Agency will spotlight U.S. reactor technologies. The free event, US Reactor Technologies: Flexible Energy Security for Real-World Challenges, will be held this Thursday, September 24, from 9:00 a.m. to 10:30 a.m. (EDT).
The event will highlight the capabilities of small modular reactors and other innovative reactors for addressing countries’ current needs. It will also examine anticipated challenges in the future, as well as underscore the need to act now.
The event is sponsored by the U.S. Department of Energy’s Office of Nuclear Energy. Advanced registration is required.
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 | dx.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.