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Division Spotlight
Education, Training & Workforce Development
The Education, Training & Workforce Development Division provides communication among the academic, industrial, and governmental communities through the exchange of views and information on matters related to education, training and workforce development in nuclear and radiological science, engineering, and technology. Industry leaders, education and training professionals, and interested students work together through Society-sponsored meetings and publications, to enrich their professional development, to educate the general public, and to advance nuclear and radiological science and engineering.
Meeting Spotlight
2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott Downtown
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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BREAKING NEWS: Trump issues executive orders to overhaul nuclear industry
The Trump administration issued four executive orders today aimed at boosting domestic nuclear deployment ahead of significant growth in projected energy demand in the coming decades.
During a live signing in the Oval Office, President Donald Trump called nuclear “a hot industry,” adding, “It’s a brilliant industry. [But] you’ve got to do it right. It’s become very safe and environmental.”
D. K. Wehe, J. Schmidt
Nuclear Science and Engineering | Volume 104 | Number 2 | February 1990 | Pages 145-152
Technical Paper | doi.org/10.13182/NSE90-A23711
Articles are hosted by Taylor and Francis Online.
Recognizing that differential quantities are sometimes not of practical interest, a simple method for projecting integral quantities is presented. The technique uses only the measured moments of the differential quantity to predict other moments and does not require an explicit a priori knowledge of the differential spectrum. The particular application discussed involves prediction of integral quantities from multiple-foil neutron activations, including integral fast fluxes and activities. In energy regions with good response function coverage, the technique is shown to yield reasonably accurate predictions of the integral fluxes (within ∼15%) and other activities (within ∼30%) using a limited set of measured activities. The methods presented for predicting errors, however, were not as effective in providing reliable quantitative error estimates in all cases.