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1

Y, Li, and National Renewable Energy Laboratory (U.S.), eds. A RANS simulation of the heave response of a two-body floating point wave absorber: Preprint. National Renewable Energy Laboratory, 2011.

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2

Yu, Yi-Hsiang. Preliminary results of a RANS simulation for a floating point absorber wave energy system under extreme wave conditions. National Renewable Energy Laboratory, 2011.

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3

Donohue, G. The Rand Military Operations Simulation Facility: An overview. Rand, 1986.

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4

Rothenberg, Jeff. The RAND Advanced Simulation Language project's declarative modeling formalism (DMOD). Rand, 1994.

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5

United States. National Aeronautics and Space Administration., ed. Time dependent simulation of cosmic-ray shocks including Alfvén transport. National Aeronautics and Space Administration, 1993.

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6

United States. National Aeronautics and Space Administration., ed. Time dependent simulation of cosmic-ray shocks including Alfvén transport. National Aeronautics and Space Administration, 1993.

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7

W, Jones T., Ryu Dongsu, and United States. National Aeronautics and Space Administration., eds. Oblique MHD cosmic-ray modified shocks: Two-fluid numerical simulations. National Aeronautics and Space Administration, 1991.

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8

Frank, Adam. Oblique MHD cosmic-ray modified shocks: Two-fluid numerical simulations. National Aeronautics and Space Administration, 1991.

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9

Frank, Adam. Oblique MHD cosmic-ray modified shocks: Two-fluid numerical simulations. National Aeronautics and Space Administration, 1991.

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10

G, Albrow M., and Raja Rajendran, eds. Hadronic Shower Simulation Workshop: Batavia, Illinois, 6-8 September 2006. American Institute of Physics, 2007.

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11

Shlapak, David A. The Rand Strategy Assessment Center and the future of simulation and gaming. Rand Corporation, 1985.

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12

Donohue, G. L. Recent contributions of information sciences research at Rand to modeling and simulation-based policy analysis. Rand, 1987.

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13

K, Davis Paul. Modeling of soft factors in the Rand Strategy Assessment System (RSAS). Rand Corp., 1989.

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14

Schwabe, William. Analytic war plans: Adaptive force-employment logic in the RAND Strategy Assessment System (RSAS). Rand Corp., 1990.

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15

Davis, Paul K. Some lessons learned from building red agents in the Rand strategy assessment system (RSAS). Rand Corp., 1989.

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16

Howe, Robert D. Adapting the RAND Strategy Assessment System to force assessment studies in the Joint Staff. RAND, 1991.

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17

T, McQueen Jeffrey, and Air Resources Laboratory (U.S.), eds. Applications of the Regional Atmospheric Modeling System (RAMS) at the NOAA Air Resources Laboratory. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Air Resources Laboratory, 1997.

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18

R, Hjelmfelt Mark, Pielke Roger A, and United States. National Aeronautics and Space Administration., eds. Numerical simulation of the 9-10 June 1972 Black Hills storm using CSU RAMS. National Aeronautics and Space Administration, 1997.

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19

R, Hjelmfelt Mark, Pielke Roger A, and United States. National Aeronautics and Space Administration., eds. Numerical simulation of the 9-10 June 1972 Black Hills storm using CSU RAMS. National Aeronautics and Space Administration, 1997.

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20

Verrill, S. P. JMFA 2--a graphically interactive Java program that fits microfibril angle x-ray diffraction data. U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 2006.

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21

Verrill, S. P. JMFA 2--a graphically interactive Java program that fits microfibril angle x-ray diffraction data. U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 2006.

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22

E, Kretschmann David, Herian Victoria L, and Forest Products Laboratory (U.S.), eds. JMFA--a graphically interactive java program that fits microfibril angle x-ray diffraction data. U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 2001.

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23

Verrill, S. P. JMFA--a graphically interactive java program that fits microfibril angle x-ray diffraction data. U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 2001.

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24

E, Kretschmann David, Herian Victoria L, and Forest Products Laboratory (U.S.), eds. JMFA--a graphically interactive java program that fits microfibril angle x-ray diffraction data. U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 2001.

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25

E, Kretschmann David, Herian Victoria L, and Forest Products Laboratory (U.S.), eds. JMFA--a graphically interactive java program that fits microfibril angle x-ray diffraction data. U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 2001.

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26

E, Kretschmann David, Herian Victoria L, and Forest Products Laboratory (U.S.), eds. JMFA--a graphically interactive java program that fits microfibril angle x-ray diffraction data. U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 2001.

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27

Verrill, S. P. JMFA--a graphically interactive java program that fits microfibril angle x-ray diffraction data. U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 2001.

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28

Satdarova, Faina. DIFFRACTION ANALYSIS OF DEFORMED METALS: Theory, Methods, Programs. Academus Publishing, 2019. http://dx.doi.org/10.31519/monography_1598.

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General analysis of the distribution of crystals orientation and dislocation density in the polycrystalline system is presented. 
 Recovered information in diffraction of X-rays adopting is new to structure states of polycrystal. Shear phase transformations in metals — at the macroscopic and microscopic levels — become a clear process. 
 Visualizing the advances is produced by program included in package delivered. Mathematical models developing, experimental design, optimal statistical estimation, simulation the system under study and evolution process on loading serves as instrumen
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29

A, Striepe Scott, Simonsen Lisa C, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. MIRACAL: A mission radiation calculation program for analysis of lunar and interplanetary missions. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.

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30

Symposium, COSPAR Scientific Commission D. D0 6. The transport of galactic and anomalous cosmic rays in the heliosphere: Observations, simulations and theory ; proceedings of the D0.6 Symposium of COSPAR Scientific Commission D which was held during the Thirty-second COSPAR Scientific Assembly, Nagoya, Japan, 12-19 July, 1998. Published for The Committee on Space Research [by] Pergamon, 1999.

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31

V, Pogorelov Nikolai, Audit Edouard, Zank G. P, and Astronomical Society of the Pacific., eds. Numerical modeling of space plasma flows: ASTRONUM-2007 : proceedings of the 2nd International Conference held at Hotel Concorde Montparnasse, Paris, France, 10-15 June 2007. Astronomical Society of the Pacific, 2008.

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32

service), SpringerLink (Online, ed. Multivariate nonparametric methods with R: An approach based on spatial signs and ranks. Springer, 2010.

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33

Johnston, Frances Patricia. A study of the relative merits, by simulation, of tests for change in attitude using a median shift method, the Wilcoxon signed rank test and the sign test. The Author], 1994.

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34

Development of a hybrid RANS/LES method for compressible mixing layer simulations. National Aeronautics and Space Administration, Glenn Research Center, 2001.

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35

Morelhão, Sérgio Luiz. Computer Simulation Tools for X-ray Analysis: Scattering and Diffraction Methods. Springer, 2015.

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36

Morelhão, Sérgio Luiz. Computer Simulation Tools for X-Ray Analysis: Scattering and Diffraction Methods. Springer London, Limited, 2015.

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37

Morelhão, Sérgio Luiz. Computer Simulation Tools for X-Ray Analysis: Scattering and Diffraction Methods. Springer International Publishing AG, 2016.

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38

Cook, Kerry H. Climate Change Scenarios and African Climate Change. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.545.

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Accurate projections of climate change under increasing atmospheric greenhouse gas levels are needed to evaluate the environmental cost of anthropogenic emissions, and to guide mitigation efforts. These projections are nowhere more important than Africa, with its high dependence on rain-fed agriculture and, in many regions, limited resources for adaptation. Climate models provide our best method for climate prediction but there are uncertainties in projections, especially on regional space scale. In Africa, limitations of observational networks add to this uncertainty since a crucial step in i
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39

Wister, Joseph A. The effect of undernutrition on the foraging of rats in a patchy environment: A laboratory simulation. 1987.

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40

Klahr, Philip, and David McArthur. Ross, an Object-Oriented Language for Constructing Simulations: A Project Air Force Report (Rand Report, R-3160-Af). Rand Corp, 1985.

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41

White, Chapin, Jodi Liu, Mikhail Zaydman, Sarah Nowak, and Peter Hussey. The RAND Health Care Payment and Delivery Simulation Model (PADSIM): Concepts, Methods, and Examples. RAND Corporation, 2016. http://dx.doi.org/10.7249/rr1428.

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42

Numerical simulation of the 9-10 June 1972 Black Hills storm using CSU RAMS. National Aeronautics and Space Administration, 1997.

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43

Recent Contributions of Information Sciences Research at RAND to Modeling- and Simulation-Based Policy Analysis. RAND Corporation, 1987. http://dx.doi.org/10.7249/n2555.

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44

Bondanella, John R. Microworld Simulations for Command and Control Training of Theater Logistics and Support Staffs: A Curriculum Strategy (Rand Corporation//Rand Monograph Report). RAND Corporation, 1999.

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45

Harris, Eric A., and Keith Candiotti. Anesthesia in the Radiation Oncology Suite. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190495756.003.0016.

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Cancer continues to be a leading cause of mortality worldwide and ranks second among the pediatric population. Radiation therapy (XRT) is a potent tool used by oncologists to manage this disease. Although treatment is typically painless, the need for immobilization has resulted in anesthesiologists frequently being consulted to provide service to these patients during their treatment. In addition to the challenges of providing anesthesia in a non–operating room environment, the provider must tailor an appropriate anesthetic for the simulation or XRT treatment sessions. Complications are rare b
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46

Zilles, Anne. Emission of Radio Waves in Particle Showers: Validation of Microscopic Simulations with the SLAC T-510 Experiment and their Potential in the Future Square Kilometre Array. Springer, 2018.

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47

Zilles, Anne. Emission of Radio Waves in Particle Showers: Validation of Microscopic Simulations with the SLAC T-510 Experiment and their Potential in the Future Square Kilometre Array. Springer, 2017.

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48

Alloway, Tom, Lester Krames, Jeff Graham, and Greg Wilson. Sniffy, the Virtual Rat: Lite Version. Wadsworth Pub Co, 1999.

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