Final environmental statement, expansion of U.S. Uranium enrichment capacity

1982 ◽  
Vol 3 (2-3) ◽  
pp. 194-198
Author(s):  
Keyword(s):  
1979 ◽  
Author(s):  
J. Thomas ◽  
J. Mauro ◽  
J. Ryniker ◽  
R. Fellman
Keyword(s):  

The Analyst ◽  
2021 ◽  
Vol 146 (1) ◽  
pp. 69-74
Author(s):  
Elizabeth Kautz ◽  
John Cliff ◽  
Timothy Lach ◽  
Dallas Reilly ◽  
Arun Devaraj

235U enrichment in a metallic nuclear fuel was measured via NanoSIMS and APT, allowing for a direct comparison of enrichment across length scales and resolutions.


1997 ◽  
Vol 48 (10-12) ◽  
pp. 1525-1528 ◽  
Author(s):  
J.K. Sprinkle ◽  
A. Christiansen ◽  
R. Cole ◽  
M.L. Collins ◽  
S.-T. Hsue ◽  
...  

2021 ◽  
Author(s):  
Ahmad B. Hassanat ◽  
Ghada A. Altarawneh ◽  
Ahmad S. Tarawneh

Abstract The classic win-win has a key flaw in that it cannot offer the parties with right amounts of winning because each party believes they are winners. In reality, one party may win more than the other. This strategy is not limited to a single product or negotiation; it may be applied to a variety of situations in life. We present a novel way to measure the win-win situation in this paper. The proposed method employs the Fuzzy logic to create a mathematical model that aids negotiators in quantifying their winning percentages. The model is put to the test on real-life negotiation scenarios such as the Iranian uranium enrichment negotiations, the Iraqi-Jordanian oil deal, and the iron ore negotiation (2005-2009). The presented model has shown to be a useful tool in practice and can be easily generalized to be utilized in other domains as well.


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