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1

Papelis, Ginger Watson. Simulator effects in a high fidelity driving simulator as a function of visuals and motion. Orlando, Fla: Institute for Simulation and Training, 1995.

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2

Carr, Peter C. Analysis procedures and subjective flights results of a simulator validation and cue fidelity experiment. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1988.

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3

Hays, Robert T. y Michael J. Singer, eds. Simulation Fidelity in Training System Design. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3564-4.

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4

1941-, Lashley Felissa R., ed. High-fidelity patient simulation in nursing education. Sudbury, Mass: Jones and Bartlett Publishers, 2010.

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5

A, Carroll Lynn, Bell Herbert H y Armstrong Laboratory (U.S.), eds. The future of selective fidelity in training devices. Brooks Air Force Base, Tex: Armstrong Laboratory, Air Force Materiel Command, 1996.

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6

Woolridge, Nicholas. Achieving mid-fidelity in clinical simulation: A computer-based approach. Ottawa: National Library of Canada, 1996.

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7

Ballin, Mark G. A high fidelity real-time simulation of a small turboshaft engine. Moffett Field, Calif: Ames Research Center, 1988.

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8

Center, Ames Research, ed. A high fidelity real-time simulation of a small turboshaft engine. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1988.

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9

Center, Ames Research, ed. A high fidelity real-time simulation of a small turboshaft engine. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1988.

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10

Center, Ames Research, ed. A high fidelity real-time simulation of a small turboshaft engine. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1988.

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11

A, Manning Carol y United States. Office of Aviation Medicine., eds. Measuring air traffic controller performance in a high-fidelity simulation: Final report. Washington, D.C: Office of Aviation Medicine, U.S. Dept. of Transportation, Federal Aviation Administration, 2000.

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12

Ferguson, Samuel W. Assessment of simulation fidelity using measurements of piloting technique in flight - Part II. Washington: American Helicopter Society, 1985.

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13

J, Singer Michael, ed. Simulation fidelity in training system design: Bridging the gap between reality and training. New York: Springer-Verlag, 1989.

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14

Goodrich, Kenneth H. A high-fidelity, six-degree-of-freedom batch simulation environment for tactical guidance research and evaluation. Hampton, Va: Langley Research Center, 1993.

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15

United States. National Aeronautics and Space Administration. Scientific and Technical Information Program, ed. A high-fidelity, six-degree-of-freedom batch simulation environment for tactical guidance research and evaluation. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1993.

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16

United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., ed. A high-fidelity, six-degree-of-freedom batch simulation environment for tactical guidance research and evaluation. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1993.

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17

United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., ed. A high-fidelity, six-degree-of-freedom batch simulation environment for tactical guidance research and evaluation. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1993.

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18

Fidelity assessment of a UH-60A simulation on the NASA Ames vertical motion simulator. Moffett Field, Calif: US Army Aviation and Troop Command, 1993.

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19

National Aeronautics and Space Administration (NASA) Staff. Analysis Procedures and Subjective Flight Results of a Simulator Validation and Cue Fidelity Experiment. Independently Published, 2018.

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20

Shippey, Ben y Graham Nimmo. Simulation training for critical care. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0014.

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Simulation in various guises can be an extremely useful educational methodology. Its use should be planned carefully to maximize educational efficiency and minimize disruption to patient care. It requires the facilitator to enable the participants to behave as they would in the real clinical environment. Fidelity is one aspect of the simulated clinical environment that helps participants engage with the clinical material. The participants should be debriefed after the simulated experience. Video-assisted debriefing facilitates reflection on elements of behaviour that affect patient safety. Many styles of debriefing exist, but there are common elements. Debriefing should be carefully facilitated by faculty with the necessary skills. Simulation is increasingly being used as an assessment tool, but the validity of summative assessments using simulation is unclear.
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21

Lashley, Felissa R. y Wendy M. Nehring. High-Fidelity Patient Simulation in Nursing Education. Jones & Bartlett Learning, LLC, 2010.

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22

Koziel, Slawomir y Leifur Leifsson. Simulation-Driven Aerodynamic Design Using Variable-Fidelity Models. Imperial College Press, 2015.

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23

Modeling methods for high-fidelity rotorcraft flight mechanics simulation. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1992.

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24

Kapadoukas, Georgios G. High fidelity on and near the ground aircraft flight simulation. 1995.

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25

Vehicle Simulation: Perceptual Fidelity in the Design of Virtual Environments. Taylor & Francis Group, 2017.

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26

Lee, Alfred T. Vehicle Simulation: Perceptual Fidelity in the Design of Virtual Environments. Taylor & Francis Group, 2017.

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27

Lee, Alfred T. Vehicle Simulation: Perceptual Fidelity in the Design of Virtual Environments. Taylor & Francis Group, 2017.

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28

Lee, Alfred T. Vehicle Simulation: Perceptual Fidelity in the Design of Virtual Environments. Taylor & Francis Group, 2017.

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29

Lee, Alfred T. Vehicle Simulation: Perceptual Fidelity in the Design of Virtual Environments. Taylor & Francis Group, 2017.

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30

A high fidelity real-time simulation of a small turboshaft engine. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1988.

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31

Hi-Fidelity Simulation and Prediction of Helicopter Single Point External Load Stabilization. Storming Media, 2001.

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32

Simulation Fidelity in Training System Design: Bridging the Gap Between Reality and Training. Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 1989.

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33

Singer, Michael J. y Robert T. Hays. Simulation Fidelity in Training System Design: Bridging the Gap Between Reality and Training. Springer London, Limited, 2012.

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34

Succi, Sauro. Numerical Methods for the Kinetic Theory of Fluids. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199592357.003.0010.

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This chapter provides a bird’s eye view of the main numerical particle methods used in the kinetic theory of fluids, the main purpose being of locating Lattice Boltzmann in the broader context of computational kinetic theory. The leading numerical methods for dense and rarified fluids are Molecular Dynamics (MD) and Direct Simulation Monte Carlo (DSMC), respectively. These methods date of the mid 50s and 60s, respectively, and, ever since, they have undergone a series of impressive developments and refinements which have turned them in major tools of investigation, discovery and design. However, they are both very demanding on computational grounds, which motivates a ceaseless demand for new and improved variants aimed at enhancing their computational efficiency without losing physical fidelity and vice versa, enhance their physical fidelity without compromising computational viability.
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35

Straus, Susan, Matthew Lewis, Kathryn Connor, Rick Eden, Matthew Boyer, Timothy Marler, Christopher Carson, Geoffrey Grimm y Heather Smigowski. Collective Simulation-Based Training in the U.S. Army: User Interface Fidelity, Costs, and Training Effectiveness. RAND Corporation, 2019. http://dx.doi.org/10.7249/rr2250.

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36

Roza, Zwerus Cornelis. Simulation Fidelity Theory & Practice: A Unified Approach to Defining, Specifying & Measuring the Realism of Simulations. Delft Univ Pr, 2004.

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37

A high-fidelity, six-degree-of-freedom batch simulation environment for tactical guidance research and evaluation. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1993.

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38

Collective Simulation-Based Training in the U. S. Army: User Interface Fidelity, Costs, and Training Effectiveness. RAND Corporation, The, 2019.

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39

High-fidelity simulation for training, test support, mission rehearsal, and civilian applications: 8-9 April 1996, Orlando, Florida. Bellingham, Wash., USA: SPIE, 1996.

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40

Lewis, Deborah, Marie O’Boyle-Duggan y Susan Poultney. Communication skills education and training in pre-registration BSc Nursing. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198736134.003.0023.

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Nursing and Midwifery Council educational standards in BSc (Hons) Nursing require students to gain key communication competences to deliver compassionate care in adult, mental health, learning disabilities, and children’s nursing. Competences include using a range of verbal and non-verbal skills to build therapeutic relationships, being respectful of confidential information, addressing diversity issues, and promoting well-being and personal safety. Nurses also need to make reasonable adjustment for patients with disabilities to ensure effective communication. High fidelity simulations using actors and clinical practice scenarios have been evaluated positively with statistically significant results, suggesting the benefits apply to all students in the classroom—although students who participate in a simulation benefit to a greater extent. Other faculty mixed-methods research led to the development of recommendations for communication skills in learning disabilities nursing. Challenges include realistic simulation in children’s nursing and developing adequate numbers of actors and facilitators, partially offset by offering in-house training.
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41

VanCour, Shawn. Making Radio Music. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190497118.003.0004.

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This chapter focuses on miking methods, mixing strategies, and performance styles developed by studio workers and on-air talent for making radio music. These strategies were governed by five principles: (1) acoustic plasticity (manipulating reverberation to simulate different acoustic environments); (2) sonic restraint (eschewing forceful concert-hall projections in favor of more subdued, microphone-appropriate performance styles); (3) flattening of curves (compression of dynamic range, yielding a uniformly close-up sound); (4) sonic parsimony (reduction of sonic inputs to maintain clarity of reproduction); and (5) intelligibility (rejecting fidelity to real-world spatial relationships in favor of a clear and evenly balanced sound). Embraced for broadcasting during the early and middle years of the 1920s, these principles helped to professionalize and legitimize radio’s emerging forms of soundwork and would also inform parallel strategies pursued in recording studios and Hollywood soundstages, facilitating broader shifts in period sound culture.
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42

Lantier, Mary Eileen Hayes. AN EXPERIMENTAL ASSESSMENT OF VARIED FIDELITY IN INSTRUCTIONAL SIMULATION ON THE FACILITATION OF IMMEDIATE AND DELAYED PERFORMANCE OF INTRAVENOUS CALCULATION AND REGULATION (INTRAVENOUS THERAPY). 1992.

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