Journal articles: 'High-Fidelity simulations'

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Lee White, Marjorie, Shawn R. Gilbert, Amber Q. Youngblood, J. Lynn Zinkan, Rachel Martin, and Nancy M. Tofil. "High-Fidelity Simulations for Orthopaedic Residents." Journal of Bone and Joint Surgery-American Volume 95, no. 10 (May 2013): e70-1-4. http://dx.doi.org/10.2106/jbjs.l.00761.

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Garmann, Daniel J., and Miguel R. Visbal. "High-Fidelity Simulations of Afterbody Vortex Flows." AIAA Journal 57, no. 9 (September 2019): 3980–90. http://dx.doi.org/10.2514/1.j058284.

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Chen, Xiaodong, Dongjun Ma, Vigor Yang, and Stephane Popinet. "HIGH-FIDELITY SIMULATIONS OF IMPINGING JET ATOMIZATION." Atomization and Sprays 23, no. 12 (2013): 1079–101. http://dx.doi.org/10.1615/atomizspr.2013007619.

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Hamilton, Cam, and Ginny Langham. "Low Fidelity Simulations with High Impact Results." Clinical Simulation in Nursing 5, no. 3 (May 2009): S7. http://dx.doi.org/10.1016/j.ecns.2009.03.175.

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Groen, D., J. Borgdorff, C. Bona-Casas, J. Hetherington, R. W. Nash, S. J. Zasada, I. Saverchenko, et al. "Flexible composition and execution of high performance, high fidelity multiscale biomedical simulations." Interface Focus 3, no. 2 (April 6, 2013): 20120087. http://dx.doi.org/10.1098/rsfs.2012.0087.

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Multiscale simulations are essential in the biomedical domain to accurately model human physiology. We present a modular approach for designing, constructing and executing multiscale simulations on a wide range of resources, from laptops to petascale supercomputers, including combinations of these. Our work features two multiscale applications, in-stent restenosis and cerebrovascular bloodflow, which combine multiple existing single-scale applications to create a multiscale simulation. These applications can be efficiently coupled, deployed and executed on computers up to the largest (peta) scale, incurring a coupling overhead of 1–10% of the total execution time.

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Müller, Maximilian, Malte Woidt, Matthias Haupt, and Peter Horst. "Challenges of Fully-Coupled High-Fidelity Ditching Simulations." Aerospace 6, no. 2 (January 22, 2019): 10. http://dx.doi.org/10.3390/aerospace6020010.

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An important element of the process of aircraft certification is the demonstration of the crashworthiness of the structure in the event of an emergency landing on water, also referred to as ditching. Novel numerical simulation methods, that incorporate the interaction between fluid and structure, open up a promising way to model ditching in full scale. This study focuses on two main issues of high-fidelity ditching simulations: the development of a suitable fluid-structure coupling framework and the generation of the structural model of the aircraft. The first issue is addressed by implementing a partitioned coupling approach, which combines a finite volume hydrodynamic fluid solver as well as a finite element structural solver. The developed framework is validated by means of two ditching-like experiments, which consider the drop test of a rigid cylinder and a deformable cylindrical shell. The results of the validation studies indicate that an alternative to the standard Dirichlet-Neumann partitioning approach is needed if a strong added-mass effect is present. For the full-scale simulation of aircraft ditching, structural models become more complex and have to account for damage. Due to its high localization, the damage creates large differences in model scale and usually entails severe non-linearities in the model. To address the issue of increasing computational effort for such models, the process of developing a multi-scale model for the simulation of the failure of fuselage frames is presented.

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Harrington, Peter, Mustafa Mustafa, Max Dornfest, Benjamin Horowitz, and Zarija Lukić. "Fast, High-fidelity Lyα Forests with Convolutional Neural Networks." Astrophysical Journal 929, no. 2 (April 1, 2022): 160. http://dx.doi.org/10.3847/1538-4357/ac5faa.

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Abstract Full-physics cosmological simulations are powerful tools for studying the formation and evolution of structure in the universe but require extreme computational resources. Here, we train a convolutional neural network to use a cheaper N-body-only simulation to reconstruct the baryon hydrodynamic variables (density, temperature, and velocity) on scales relevant to the Lyα forest, using data from Nyx simulations. We show that our method enables rapid estimation of these fields at a resolution of ∼20 kpc, and captures the statistics of the Lyα forest with much greater accuracy than existing approximations. Because our model is fully convolutional, we can train on smaller simulation boxes and deploy on much larger ones, enabling substantial computational savings. Furthermore, as our method produces an approximation for the hydrodynamic fields instead of Lyα flux directly, it is not limited to a particular choice of ionizing background or mean transmitted flux.

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Harrington, Peter, Mustafa Mustafa, Max Dornfest, Benjamin Horowitz, and Zarija Lukić. "Fast, High-fidelity Lyα Forests with Convolutional Neural Networks." Astrophysical Journal 929, no. 2 (April 1, 2022): 160. http://dx.doi.org/10.3847/1538-4357/ac5faa.

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Abstract Full-physics cosmological simulations are powerful tools for studying the formation and evolution of structure in the universe but require extreme computational resources. Here, we train a convolutional neural network to use a cheaper N-body-only simulation to reconstruct the baryon hydrodynamic variables (density, temperature, and velocity) on scales relevant to the Lyα forest, using data from Nyx simulations. We show that our method enables rapid estimation of these fields at a resolution of ∼20 kpc, and captures the statistics of the Lyα forest with much greater accuracy than existing approximations. Because our model is fully convolutional, we can train on smaller simulation boxes and deploy on much larger ones, enabling substantial computational savings. Furthermore, as our method produces an approximation for the hydrodynamic fields instead of Lyα flux directly, it is not limited to a particular choice of ionizing background or mean transmitted flux.

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Xu, Jie, Si Zhang, Edward Huang, Chun-Hung Chen, Loo Hay Lee, and Nurcin Celik. "MO2TOS: Multi-Fidelity Optimization with Ordinal Transformation and Optimal Sampling." Asia-Pacific Journal of Operational Research 33, no. 03 (June 2016): 1650017. http://dx.doi.org/10.1142/s0217595916500172.

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Simulation optimization can be used to solve many complex optimization problems in automation applications such as job scheduling and inventory control. We propose a new framework to perform efficient simulation optimization when simulation models with different fidelity levels are available. The framework consists of two novel methodologies: ordinal transformation (OT) and optimal sampling (OS). The OT methodology uses the low-fidelity simulations to transform the original solution space into an ordinal space that encapsulates useful information from the low-fidelity model. The OS methodology efficiently uses high-fidelity simulations to sample the transformed space in search of the optimal solution. Through theoretical analysis and numerical experiments, we demonstrate the promising performance of the multi-fidelity optimization with ordinal transformation and optimal sampling (MO2TOS) framework.

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Ranftl, Sascha, Gian Marco Melito, Vahid Badeli, Alice Reinbacher-Köstinger, Katrin Ellermann, and Wolfgang von der Linden. "On the Diagnosis of Aortic Dissection with Impedance Cardiography: A Bayesian Feasibility Study Framework with Multi-Fidelity Simulation Data." Proceedings 33, no. 1 (December 9, 2019): 24. http://dx.doi.org/10.3390/proceedings2019033024.

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Aortic dissection is a cardiovascular disease with a disconcertingly high mortality. When it comes to diagnosis, medical imaging techniques such as Computed Tomography, Magnetic Resonance Tomography or Ultrasound certainly do the job, but also have their shortcomings. Impedance cardiography is a standard method to monitor a patients heart function and circulatory system by injecting electric currents and measuring voltage drops between electrode pairs attached to the human body. If such measurements distinguished healthy from dissected aortas, one could improve clinical procedures. Experiments are quite difficult, and thus we investigate the feasibility with finite element simulations beforehand. In these simulations, we find uncertain input parameters, e.g., the electrical conductivity of blood. Inference on the state of the aorta from impedance measurements defines an inverse problem in which forward uncertainty propagation through the simulation with vanilla Monte Carlo demands a prohibitively large computational effort. To overcome this limitation, we combine two simulations: one simulation with a high fidelity and another simulation with a low fidelity, and low and high computational costs accordingly. We use the inexpensive low-fidelity simulation to learn about the expensive high-fidelity simulation. It all boils down to a regression problem—and reduces total computational cost after all.

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Garcia, S., B. Cather, J. Schultz, L. Myers, and A. Klassen. "321 Low Fidelity In-Situ Field Simulations versus High Fidelity Center-Based Simulations: Paramedic Student Perspectives." Annals of Emergency Medicine 78, no. 4 (October 2021): S130. http://dx.doi.org/10.1016/j.annemergmed.2021.09.335.

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Tamanampudi, Gowtham Manikanta Reddy, Swanand Sardeshmukh, William Anderson, and Cheng Huang. "Combustion instability modeling using multi-mode flame transfer functions and a nonlinear Euler solver." International Journal of Spray and Combustion Dynamics 12 (January 2020): 175682772095032. http://dx.doi.org/10.1177/1756827720950320.

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Modern methods for predicting combustion dynamics in high-pressure combustors range from high-fidelity simulations of sub-scale model combustors, mostly for validation purposes or detailed investigations of physics, to linearized, acoustics-based analysis of full-scale practical combustors. Whereas the high-fidelity simulations presumably capture the detailed physics of mixing and heat addition, computational requirements preclude their application for practical design analysis. The linear models that are used during design typically use flame transfer functions that relate the unsteady heat addition [Formula: see text] to oscillations in velocity and pressure ([Formula: see text] and [Formula: see text]) that are obtained from the wave equation. These flame transfer functions can be empirically determined from measurements or derived from theory and analysis. This paper describes a hybrid approach that uses high-fidelity simulations to generate flame transfer functions along with nonlinear Euler CFD to predict the combustor flowfield. A model rocket combustor that presented a self-excited combustion instability with pressure oscillations on the order of 10% of mean pressure is used for demonstration. Spatially distributed flame transfer functions are extracted from a high-fidelity simulation of the combustor and then used in a nonlinear Euler CFD model of the combustor to verify the approach. It is shown that the reduced-fidelity model can reproduce the unsteady behavior of the single element combustor that was both measured in the experiment and predicted by a high-fidelity simulation reasonably well.

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Zheng, Jun, Hao Bo Qiu, and Xiao Lin Zhang. "Variable-Fidelity Multidisciplinary Design Optimization Based on Analytical Target Cascading Framework." Advanced Materials Research 544 (June 2012): 49–54. http://dx.doi.org/10.4028/www.scientific.net/amr.544.49.

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ATC provides a systematic approach in solving decomposed large scale systems that has solvable subsystems. However， complex engineering system usually has a high computational cost , which result in limiting real-life applications of ATC based on high-fidelity simulation models. To address these problems, this paper aims to develop an efficient approximation model building techniques under the analytical target cascading (ATC) framework, to reduce computational cost associated with multidisciplinary design optimization problems based on high-fidelity simulations. An approximation model building techniques is proposed: approximations in the subsystem level are based on variable-fidelity modeling (interaction of low- and high-fidelity models). The variable-fidelity modeling consists of computationally efficient simplified models (low-fidelity) and expensive detailed (high-fidelity) models. The effectiveness of the method for modeling under the ATC framework using variable-fidelity models is studied. Overall results show the methods introduced in this paper provide an effective way of improving computational efficiency of the ATC method based on variable-fidelity simulation models.

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Cole, Rebekah, Sean J. Egan, James Schwartz, and Sherri L. Rudinsky. "The Impact of High-fidelity Simulations on Medical Student Readiness." Military Medicine 188, Supplement_3 (May 1, 2023): 7–14. http://dx.doi.org/10.1093/milmed/usac382.

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ABSTRACT Introduction Simulation is a key aspect of the military unique curriculum at the Uniformed Services University (USU). The Department of Military and Emergency Medicine conducts rigorous high-fidelity simulations for military medical students during each year of their medical school training: Patient Experience (first year), Advanced Combat Medical Experience (second year), Operation Gunpowder (third year), and Operation Bushmaster (fourth year). There is currently a gap in the professional literature regarding students’ progression through each of these simulations. This study, therefore, explores the experiences of military medical students at USU in order to understand how they learn and develop as they progress through these high-fidelity simulations. Materials and Methods Using a grounded theory approach to qualitative research design, we analyzed qualitative data from 400 military medical students across all four years of military school who participated in the four high-fidelity simulations during 2021–2022. Our research team used open and axial coding to categorize the data and to make connections between each of these categories, which we articulated in a theoretical framework and illustrated in a consequential matrix. This research was approved by the Institutional Review Board at USU. Results During Patient Experience, the first-year medical students described the stress, chaos, and lack of resources that military physicians face as they experienced the realism of the operational environment. Later at Advanced Combat Medical Experience, the second-year medical students practiced their medical skills hands-on for the first time in the simulated stressful operational environment. As a result, they gained confidence and began to formulate their professional identity. Next, at Operation Gunpowder, the third-year medical students advanced to more complex tactical field care as they performed prolonged casualty care, forward resuscitative care, forward resuscitative surgical care, and en route care as a team, often revealing gaps in their knowledge that needed to be filled. During the capstone simulation, Operation Bushmaster, the fourth-year medical students closed these gaps and solidified their professional identity as leaders and physicians, culminating in a strong confidence regarding their readiness for their first deployment. Conclusions Each of the four high-fidelity simulations impacted the students in unique ways as they were incrementally challenged to practice and build upon their knowledge, skills, and abilities related to combat casualty care, teamwork, and leadership in the operational environment. As they completed each of the simulations, their skills improved, confidence grew, and professional identity solidified. Therefore, completing these rigorous simulations progressively over the course of 4 years of medical school appears to be a vital process and foundation for the deployment readiness of early-career military physicians.

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Michelassi, Vittorio, and Li He. "Editorial: Data-driven modelling and high-fidelity simulations." Journal of the Global Power and Propulsion Society, May (May 21, 2021): 1–2. http://dx.doi.org/10.33737/jgpps/135933.

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Müller, Maximilian, Malte Woidt, Matthias Haupt, and Peter Horst. "Challenges of fully-coupled high-fidelity ditching simulations." MATEC Web of Conferences 233 (2018): 00020. http://dx.doi.org/10.1051/matecconf/201823300020.

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An important element of the process of aircraft certification is the demonstration of the crashworthiness of the structure in the event of an emergency landing on water, also referred to as ditching. Novel numerical simulation methods that incorporate the interaction between fluid and structure open up a promising way to model ditching in full scale. This study presents a numerical framework for the simulation of ditching on a high–fidelity level. A partitioned approach that combines a finite volume hydrodynamic fluid solver as well as an finite element structural solver is implemented using a Python-based distributed coupling environment [1]. High demands are placed both on the fluid and the structural solver. The fluid solver needs to account for hydrodynamic effects such as cavitation in order to correctly compute the ditching loads acting on the aircraft structure. In the structural model, the highly localized damage induces nonlinearities and large differences in model scale. In order to reduce the computational effort a reduced order model is used to model the failure of fuselage frames. The fluid-structure coupling requires an explicit coupling scheme. It is shown that the standard Dirichlet-Neumann approach exhibits unstable behaviour if a strong added-mass effect is present, as is the case in aircraft ditching. This indicates a need for methods other than the standard Dirichlet-Neumann approach [2].

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Dameff, Christian J., Jordan A. Selzer, Jonathan Fisher, James P. Killeen, and Jeffrey L. Tully. "Clinical Cybersecurity Training Through Novel High-Fidelity Simulations." Journal of Emergency Medicine 56, no. 2 (February 2019): 233–38. http://dx.doi.org/10.1016/j.jemermed.2018.10.029.

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Quirós Rodríguez, Alejandro, Miguel Fosas de Pando, and Taraneh Sayadi. "Gradient-enhanced stochastic optimization of high-fidelity simulations." Computer Physics Communications 298 (May 2024): 109122. http://dx.doi.org/10.1016/j.cpc.2024.109122.

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Roth, Kaleigh. "Improving Confidence and Retention Through High-Fidelity Simulations." Journal of Obstetric, Gynecologic & Neonatal Nursing 53, no. 4 (May 2024): S17. http://dx.doi.org/10.1016/j.jogn.2024.05.027.

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Tchopev, Zahari N., Alexis E. Nelson, John C. Hunninghake, Kelsey Cacic, Melissa K. Cook, and Morgan C. Jordan. "Curriculum Innovations: High-Fidelity Simulation of Acute Neurology Enhances Rising Resident Confidence." Neurology: Education 1, no. 2 (November 15, 2022): e200022. http://dx.doi.org/10.1212/ne9.0000000000200022.

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Introduction & Problem StatementThe matriculation from internal medicine to neurology residency can be challenging. The most cogent approach to address this transition has yet to be identified. Studies show that simulation is highly effective at reinforcing knowledge and skills while improving learner confidence. We present the design and outcomes of an annual acute neurology simulation program.ObjectivesWe hypothesized that incoming neurology residents would (1) report improved confidence with managing acute neurologic emergencies, (2) cite a high degree of educational value with the program, and (3) demonstrate improvement in their technical knowledge.Methods & Curriculum DescriptionOur military, level 1 trauma institution's simulation laboratory and staff were used to develop and execute simulations for rising neurology residents based on the Accreditation Council for Graduate Medical Education neurology milestones. Three simulations were designed including a case of acute ischemic stroke (AIS), status epilepticus (SE) in an austere environment, and brain death evaluation with family counseling. Residents completed matched pre‐ and post assessments to gauge confidence, technical knowledge, and perceived educational value.Results & Assessment DataOver 3 years, 15 rising neurology residents from 2 training programs completed 3 high-fidelity acute neurology cases. Self-reported confidence with acute neurology skills improved after each simulation. Confidence ratings included assessing for and identifying contraindications to tissue plasminogen activator, identifying AIS, identifying clot retrieval candidates, identifying clinical and electrographic SE, diagnosing and treating SE, identifying contraindications to and confounders of brain death diagnosis, performing the examination, and delivering bad news to families (allp< 0.05). Technical knowledge also statistically improved in the stroke (p= 0.046) and brain death simulation (p= 0.039), but not the SE simulation (p= 0.296). Participants reported an average perceived personal value of 4.8, 4.3, and 4.7 (out of a maximum of 5) for AIS, SE, and brain death simulations, respectively.Discussion & Lessons LearnedHigh-fidelity simulation of neurologic emergencies enhances confidence and knowledge of rising neurology residents. Satisfaction with the simulation cases was high. Academic hospitals can consider incorporating acute neurology simulations into their residency training.

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Dante, Angelo, Carmen La Cerra, Valeria Caponnetto, Vittorio Masotta, Alessia Marcotullio, Luca Bertocchi, Fabio Ferraiuolo, Cristina Petrucci, and Loreto Lancia. "Dose–Response Relationship between High-Fidelity Simulation and Intensive Care Nursing Students’ Learning Outcomes: An Italian Multimethod Study." International Journal of Environmental Research and Public Health 19, no. 2 (January 6, 2022): 617. http://dx.doi.org/10.3390/ijerph19020617.

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Background: The best application modality of high-fidelity simulation in graduate critical care nursing courses is still rarely investigated in nursing research. This is an important issue since advanced nursing skills are necessary to effectively respond to critically ill patients’ care needs. The aim of the study was to examine the influence of a modified teaching model based on multiple exposures to high-fidelity simulations on both the learning outcomes and the perceptions of graduate students enrolled in a critical care nursing course. Methods: A multimethod study involving a sample of graduate critical care nursing students was conducted. A theoretical teaching model focused on multiple exposures to high-fidelity simulations is currently applied as a teaching method in an Italian critical care nursing course. According to the Kirkpatrick model for evaluating training programs, the performance, self-efficacy, and self-confidence in managing critically ill patients were considered learning outcomes, while satisfaction with learning and students’ lived experiences during the experimental phases were considered students’ perceptions. Results: Multiple exposures to high-fidelity simulations significantly improved performance, self-efficacy, and self-confidence in managing virtual critically ill patients’ care needs. The satisfaction level was high, while lived experiences of participants were positive and allowed for better explanation of quantitative results of this study. Conclusions: Multiple exposures to high-fidelity simulations can be considered a valuable teaching method that can improve the learning outcomes of graduate nurses enrolled in an intensive care course.

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Locsin, Rozzano C. "Caring Scholar Response To: Grounding Nursing Simulations in Caring." International Journal of Human Caring 12, no. 2 (March 2008): 47–49. http://dx.doi.org/10.20467/1091-5710.12.2.47.

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Two critical attributes in simulation technology are artificiality and realism. These attributes are successfully blurred in high fidelity simulations as outlined by Eggenberger and Keller in their description of a nursing curriculum on caring. Knowing persons as a process of nursing founded in caring is critical to understanding this innovative approach. Technological knowing in nursing describes the person through technological competency. Use of high fidelity simulation technologies in nursing education in the future must include educating faculty in appropriate ways of teaching with the technology and accurately replicating the clinical practice experience of human care.

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Suzuki, Takao, Michael L. Shur, Michael K. Strelets, Andrey K. Travin, and Philippe R. Spalart. "High-fidelity fan-noise simulations based on improved delayed detached eddy simulation." Journal of the Acoustical Society of America 150, no. 4 (October 2021): A131. http://dx.doi.org/10.1121/10.0007867.

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Li, Ran, and Frank Gaitan. "High-fidelity universal quantum gates." Quantum Information and Computation 10, no. 11&12 (November 2010): 936–46. http://dx.doi.org/10.26421/qic10.11-12-4.

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Twisted rapid passage is a type of non-adiabatic rapid passage that generates controllable quantum interference effects that were first observed experimentally in $2003$. It is shown that twisted rapid passage sweeps can be used to implement a universal set of quantum gates $\calGU$ that operate with high-fidelity. The gate set $\calGU$ consists of the Hadamard and NOT gates, together with variants of the phase, $\pi /8$, and controlled-phase gates. For each gate $g$ in $\calGU$, sweep parameter values are provided which simulations indicate will produce a unitary operation that approximates $g$ with error probability$P_{e} < 10^{-4}$. Note that \textit{all\/} gates in $\calGU$ are implemented using a \textit{single family\/} of control-field, and the error probability for each gate falls below the rough-and-ready estimate for the accuracy threshold $P_{a}\sim 10^{-4}$.

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Bose, Sownak, Daniel J. Eisenstein, Boryana Hadzhiyska, Lehman H. Garrison, and Sihan Yuan. "Constructing high-fidelity halo merger trees in abacussummit." Monthly Notices of the Royal Astronomical Society 512, no. 1 (March 3, 2022): 837–54. http://dx.doi.org/10.1093/mnras/stac555.

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ABSTRACT Tracking the formation and evolution of dark matter haloes is a critical aspect of any analysis of cosmological N-body simulations. In particular, the mass assembly of a halo and its progenitors, encapsulated in the form of its merger tree, serves as a fundamental input for constructing semi-analytic models of galaxy formation and, more generally, for building mock catalogues that emulate galaxy surveys. We present an algorithm for constructing halo merger trees from abacussummit, the largest suite of cosmological N-body simulations performed to date consisting of nearly 60 trillion particles, and which has been designed to meet the Cosmological Simulation Requirements of the Dark Energy Spectroscopic Instrument (DESI) survey. Our method tracks the cores of haloes to determine associations between objects across multiple time slices, yielding lists of halo progenitors and descendants for the several tens of billions of haloes identified across the entire suite. We present an application of these merger trees as a means to enhance the fidelity of abacussummit halo catalogues by flagging and ‘merging’ haloes deemed to exhibit non-monotonic past merger histories. We show that this cleaning technique identifies portions of the halo population that have been deblended due to choices made by the halo finder, but which could have feasibly been part of larger aggregate systems. We demonstrate that by cleaning halo catalogues in this post-processing step, we remove potentially unphysical features in the default halo catalogues, leaving behind a more robust halo population that can be used to create highly accurate mock galaxy realizations from abacussummit.

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Berci, M., P. H. Gaskell, R. W. Hewson, and V. V. Toropov. "Multifidelity metamodel building as a route to aeroelastic optimization of flexible wings." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 225, no. 9 (July 5, 2011): 2115–37. http://dx.doi.org/10.1177/0954406211403549.

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High-fidelity aeroelastic simulations of the response of flexible wings to a sudden gust can result in a huge computing effort, making the search for the best wing design prohibitively expensive. As an alternative, a cost-effective multifidelity metamodelling-based optimization strategy, where a metamodel of a high-fidelity aeroelastic simulation response is built by tuning a lower fidelity aeroelastic simulation response, is proposed. In order to address and validate such an approach, both linear and non-linear aeroelastic equations for an aerofoil employing different levels of complexity for expressing the aerodynamic load are used for the high- and low-fidelity models. An aeroelastic gust response evaluation problem is formulated for the flexible wing of a small unmanned air vehicle, whose characteristic size makes it particularly susceptible to gusts. Three different approaches to tune the low-fidelity model, both explicit and implicit, are investigated and compared. Good agreement between the high-fidelity model and the corrected low-fidelity one shows that the proposed approach is indeed suitable for optimization of the aeroelastic gust performance of flexible wings.

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Matei, Ion, Alexander Feldman, Johan De Kleer, and Alexandre Perez. "Real time model-based diagnosis enabled by hybrid modeling." Annual Conference of the PHM Society 12, no. 1 (November 3, 2020): 10. http://dx.doi.org/10.36001/phmconf.2020.v12i1.1278.

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In this paper we propose a hybrid modeling approach for generating reduced models of a high fidelity model of a physical system. We propose machine learning inspired representations for complex model components. These representations preserve in part the physical interpretation of the original components. Training platforms featuring automatic differentiation are used to learn the parameters of the new representations using data generated by the high-fidelity model. We showcase our approach in the context of fault diagnosis for a rail switch system. We generate three new model abstractions whose complexities are two order of magnitude smaller than the complexity of the high fidelity model, both in the number of equations and simulation time. Faster simulations ensure faster diagnosis solutions and enable the use of diagnosis algorithms relying heavily on large numbers of model simulations.

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Grillo, Elizabeth U., and Christine M. Thomas. "Using High-Fidelity Simulation to Facilitate Graduate Student Clinical Learning." Perspectives of the ASHA Special Interest Groups 1, no. 10 (March 31, 2016): 4–15. http://dx.doi.org/10.1044/persp1.sig10.4.

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Simulation experiences offer students an opportunity to practice application of knowledge and skills in a safe, risk-free environment and to reflect on the experiences for enhanced learning. An interprofessional collaboration between speech-language pathology and nursing educators facilitated a high-fidelity mannequin simulation with 27 speech-language pathology graduate students. The clinical case evolved over four scenarios requiring a speaking valve assessment, bedside swallow exam (including oral mechanism and cranial nerve exam), and cognitive-speech-language screening in a 3-hour block of time. The focus of this article is to present an introductory template for using high-fidelity mannequin simulations with speech-language pathology graduate students and to encourage use of such methods in collaboration with nursing.

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Rubel, Clark, and Mark Owkes. "EXTRACTION OF DROPLET GENEALOGIES FROM HIGH-FIDELITY ATOMIZATION SIMULATIONS." Atomization and Sprays 29, no. 8 (2019): 709–39. http://dx.doi.org/10.1615/atomizspr.2020031624.

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Wetzel, Cordula M., Stephen A. Black, Debra Nestel, Maria Woloshynowych, John HN Wolfe, Ara Darzi, and Roger L. Kneebone. "Development of High Fidelity Simulations for Exploring Surgical Stress." Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare 1, no. 2 (2006): 104. http://dx.doi.org/10.1097/01266021-200600120-00031.

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Kravchenko, Boris, Gladimir V. G. Baranoski, Tenn Francis Chen, Erik Miranda, and Spencer R. Van Leeuwen. "High-fidelity iridal light transport simulations at interactive rates." Computer Animation and Virtual Worlds 28, no. 3-4 (April 19, 2017): e1755. http://dx.doi.org/10.1002/cav.1755.

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Montiel, Miguel, and Roque Corral. "Time-Inclined Method for High-Fidelity Rotor/Stator Simulations." Aerospace 10, no. 5 (May 18, 2023): 475. http://dx.doi.org/10.3390/aerospace10050475.

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The application of the time-inclined method in a fourth-order unstructured flux-reconstruction code for turbomachinery is demonstrated. Inviscid and viscous unsteady results due to the interaction of an incoming gust of total pressure with a linear cascade of flat plates and a linear cascade of T106A low-pressure turbine airfoils are reported. The agreement between the time-inclined method and the equivalent full-annulus multipassage solution is very high for both cases. Viscous solutions at Reynolds numbers of 104 and 105 were conducted. A high degree of matching was obtained between the time-inclined and the whole annulus approaches. The limitations of the method are explored and discussed. While the evolution of the unsteady boundary layers created by the interaction with the incoming wakes was very well captured, the mixing associated with the trailing edge vortex shedding was less accurate. The critical parameter controlling the method’s accuracy is the local Strouhal number. It was demonstrated that the benefit of retaining the exact blade count in the simulations overcomes the slight differences in the mixing due to the limitation of the time-inclined method to model viscous effects accurately in all situations.

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Houck, D. R., N. deVelder, and C. L. Kelley. "Comparison of a mid-fidelity free vortex wake method to a high-fidelity actuator line model large eddy simulation for wind turbine wake simulations." Journal of Physics: Conference Series 2265, no. 4 (May 1, 2022): 042044. http://dx.doi.org/10.1088/1742-6596/2265/4/042044.

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Abstract The need for mid-fidelity wind turbine simulations is increasing due to their balance of accuracy and computational efficiency. A common form of mid-fidelity code is the free wake vortex method (FVWM), but these are known to inaccurately represent the far-wake depending on their implementation. Herein, we compare CACTUS, a FVWM code, to Nalu-Wind, an actuator line model large eddy simulation (ALM-LES) code with particular focus on the far wake. Specifically, we compare one CACTUS simulation, which necessarily has steady and uniform inflow, to three Nalu-Wind simulations using a steady and uniform inflow, a low turbulence inflow, and a high turbulence inflow. The comparison reveals interesting parallels between CACTUS and all Nalu-Wind cases, but ultimately demonstrates that CACTUS is not an appropriate tool for the simulation of the far-wake of a wind turbine.

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Galindo, José, Roberto Navarro, Francisco Moya, and Andrea Conchado. "Comprehensive Method for Obtaining Multi-Fidelity Surrogate Models for Design Space Approximation: Application to Multi-Dimensional Simulations of Condensation Due to Mixing Streams." Applied Sciences 13, no. 11 (May 23, 2023): 6361. http://dx.doi.org/10.3390/app13116361.

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In engineering problems, design space approximation using accurate computational models may require conducting a simulation for each explored working point, which is often not feasible in computational terms. For problems with numerous parameters and computationally demanding simulations, the possibility of resorting to multi-fidelity surrogates arises as a means to alleviate the effort by employing a reduced number of high-fidelity and expensive simulations and predicting a much cheaper low-fidelity model. A multi-fidelity approach for design space approximation is therefore proposed, requiring two different designs of experiments to assess the best combination of surrogate models and an intermediate meta-modeled variable. The strategy is applied to the prediction of condensation that occurs when two humid air streams are mixed in a three-way junction, which occurs when using low-pressure exhaust gas recirculation to reduce piston engine emissions. In this particular case, most of the assessed combinations of surrogate and intermediate variables provide a good agreement between observed and predicted values, resulting in the lowest normalized mean absolute error (3.4%) by constructing a polynomial response surface using a multi-fidelity additive scaling variable that calculates the difference between the low-fidelity and high-fidelity predictions of the condensation mass flow rate.

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Lin, Jeffrey, Carlo Scalo, and Lambertus Hesselink. "High-fidelity simulation of a standing-wave thermoacoustic–piezoelectric engine." Journal of Fluid Mechanics 808 (October 26, 2016): 19–60. http://dx.doi.org/10.1017/jfm.2016.609.

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We have carried out wall-resolved unstructured fully compressible Navier–Stokes simulations of a complete standing-wave thermoacoustic–piezoelectric engine model inspired by the experimental work of Smoker et al. (J. Appl. Phys., vol. 111 (10), 2012, 104901). The model is axisymmetric and comprises a 51 cm long resonator divided into two sections: a small-diameter section enclosing a thermoacoustic stack and a larger-diameter section capped by a piezoelectric diaphragm tuned to the thermoacoustically amplified mode (388 Hz). The diaphragm is modelled with multi-oscillator broadband time-domain impedance boundary conditions (TDIBCs), providing higher fidelity over single-oscillator approximations. Simulations are first carried out to the limit cycle without energy extraction. The observed growth rates are shown to be grid convergent and are verified against a numerical dynamical model based on Rott’s theory. The latter is based on a staggered grid approach and allows jump conditions in the derivatives of pressure and velocity in sections of abrupt area change and the inclusion of linearized minor losses. The stack geometry maximizing the growth rate is also found. At the limit cycle, thermoacoustic heat leakage and frequency shifts are observed, consistent with experiments. Upon activation of the piezoelectric diaphragm, steady acoustic energy extraction and a reduced pressure amplitude limit cycle are obtained. A heuristic closure of the limit cycle acoustic energy budget is presented, supported by the linear dynamical model and the nonlinear simulations. The developed high-fidelity simulation framework provides accurate predictions of thermal-to-acoustic and acoustic-to-mechanical energy conversion (via TDIBCs), enabling a new paradigm for the design and optimization of advanced thermoacoustic engines.

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Blair, Carrie A., Brian J. Hoffman, and Robert T. Ladd. "Assessment centers vs situational judgment tests: longitudinal predictors of success." Leadership & Organization Development Journal 37, no. 7 (September 5, 2016): 899–911. http://dx.doi.org/10.1108/lodj-12-2014-0235.

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Purpose The purpose of this paper is to provide an empirical comparison of a high-fidelity managerial simulation, assessment center (AC) ratings, to that of a lower fidelity managerial simulation, a video situational judgment test (SJT) in the prediction of manager career success. Design/methodology/approach Archival data were collected from a large utility company. A measure of general mental ability (GMA), an SJT, and an AC were examined as predictors of career success as measured by increases in salary. Findings The AC and the video SJT used in this study appeared to assess different constructs, extending previous findings that ACs and written SJTs measure distinct constructs. Furthermore, the AC dimensions and the SJT remained valid predictors of salary over a six year span following the test administration. In addition, the AC explained significant incremental variance beyond GMA and SJTs in career success six years after the assessment. Research limitations/implications The SJTs and AC used in this study are similar in psychological fidelity, yet the ACs remained a more valid predictor over time. The recommendation is that lower fidelity simulations should not be used as prerequisites for higher fidelity simulations. Practical implications The results lend general support to the value of high-fidelity instruments in predicting longitudinal success. Originality/value The paper offers a comparison of the validity of ACs and video SJTs.

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Franze, Marius. "Comparison of a closed-loop control by means of high-fidelity and low-fidelity coupled CFD/RBD computations." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 234, no. 10 (October 16, 2019): 1611–23. http://dx.doi.org/10.1177/0954410019882275.

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This work compares the principle of a basic fin-controlled sounding rocket with coupled computational fluid dynamic and rigid body dynamic simulations of two coupling environments: (1) a low-fidelity approach using Missile DATCOM as semi-empirical aerodynamic solver, and (2) a high-fidelity approach using DLR TAU as URANS CFD code. The flight mechanics solver REENT is used in both cases. A closed-loop flight path control is developed and adjusted via low-fi simulations and then verified via high-fi simulations. For simple roll and pitching maneuvers the environments match well, whereas differences can be seen in complex maneuvers, e.g. body–body interactions of separation procedures.

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Li, R., M. Hoover, and F. Gaitan. "High-fidelity single-qubit gates using non-adiabatic rapid passage." Quantum Information and Computation 7, no. 7 (September 2007): 594–608. http://dx.doi.org/10.26421/qic7.7-3.

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Numerical simulation results are presented which suggest that a class of non-adiabatic rapid passage sweeps first realized experimentally in 1991 should be capable of implementing a set of quantum gates that is universal for one-qubit unitary operations and whose elements operate with error probabilities $P_{e}<10^{-4}$. The sweeps are non-composite and generate controllable quantum interference effects which allow the one-qubit gates produced to operate non-adiabatically while maintaining high accuracy. The simulations suggest that the one-qubit gates produced by these sweeps show promise as possible elements of a fault-tolerant scheme for quantum computing.

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Duinmeijer, Wytze C., Libera Fresiello, Justyna Swol, Pau Torrella, Jordi Riera, Valentina Obreja, Mateusz Puślecki, Marek Dąbrowski, Jutta Arens, and Frank R. Halfwerk. "Simulators and Simulations for Extracorporeal Membrane Oxygenation: An ECMO Scoping Review." Journal of Clinical Medicine 12, no. 5 (February 22, 2023): 1765. http://dx.doi.org/10.3390/jcm12051765.

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High-volume extracorporeal membrane oxygenation (ECMO) centers generally have better outcomes than (new) low-volume ECMO centers, most likely achieved by a suitable exposure to ECMO cases. To achieve a higher level of training, simulation-based training (SBT) offers an additional option for education and extended clinical skills. SBT could also help to improve the interdisciplinary team interactions. However, the level of ECMO simulators and/or simulations (ECMO sims) techniques may vary in purpose. We present a structured and objective classification of ECMO sims based on the broad experience of users and the developer for the available ECMO sims as low-, mid-, or high-fidelity. This classification is based on overall ECMO sim fidelity, established by taking the median of the definition-based fidelity, component fidelity, and customization fidelity as determined by expert opinion. According to this new classification, only low- and mid-fidelity ECMO sims are currently available. This comparison method may be used in the future for the description of new developments in ECMO sims, making it possible for ECMO sim designers, users, and researchers to compare accordingly, and ultimately improve ECMO patient outcomes.

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Czekirda, Marta, Patrycja Misztal-Okońska, Anna Włoszczak-Szubzda, Mariusz Goniewicz, Mateusz Cybulski, Krystyna Kowalczuk, Noemi Jaszyna, et al. "Objective and Subjective Stress Parameters in Response to High and Low-Fidelity Simulation Activities." International Journal of Environmental Research and Public Health 19, no. 5 (March 3, 2022): 2980. http://dx.doi.org/10.3390/ijerph19052980.

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Nursing graduates are required to have both excellent theoretical and practical skills that should be used during stressful emergency interventions. Since the received knowledge should be practiced to gain skills and trained to achieve competences, simulation exercises can be beneficial to even reduce the stress that each individual may face during emergency management of patients. A total of 146 first-year nursing students participated in the study, including 124 women and 22 men aged between 19 and 50 years, with a mean age of 32 years. The objective method estimated psychophysiological parameters (serum cortisol). Objective and subjective methods were used. The subjective method assessed stress experienced by students based on the standardized Stress Appraisal Questionnaire Version B for dispositional assessment. The study was conducted in the Monoprofile Medical Simulation Centre at the University of Economics and Innovation in Lublin, Poland and was approved by the University Research Ethics Committee. Both participants under and over 25 years of age showed increased levels of stress after low and high-fidelity simulations, with statistically significantly higher stress levels found for the low fidelity method. Low-fidelity simulation methods generated a greater increase in cortisol levels, indicating a higher stress level than the high-fidelity methods. The analysis of the scores obtained in the Stress Appraisal Questionnaire (KOS-B) showed that higher cortisol levels after the low-fidelity simulation reduced the subjective perception of a threat, while higher cortisol levels before the high-fidelity simulation promoted higher intellectual activity among the students. Levels of stress in the education of nursing students using low and high-fidelity methods can limit the sense of threat and activate professional task performance. The use of low and high-fidelity simulation does not generate destructive stress levels.

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Grinderslev, Christian, Niels Nørmark Sørensen, Georg Raimund Pirrung, and Sergio González Horcas. "Multiple limit cycle amplitudes in high-fidelity predictions of standstill wind turbine blade vibrations." Wind Energy Science 7, no. 6 (November 7, 2022): 2201–13. http://dx.doi.org/10.5194/wes-7-2201-2022.

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Abstract. In this study, vortex-induced vibrations (VIVs) on the IEA 10 MW blade are investigated using two methodologies in order to assess strengths and weaknesses of the two simulation types. Both fully coupled fluid–structure interaction (FSI) simulations and computational fluid dynamics (CFD) with forced motion of the blade are used and compared. It is found that for the studied cases with high inclination angles, the forced-motion simulations succeed in capturing the power injection by the aerodynamics, despite the motion being simplified. From the fully coupled simulations, a dependency on initial conditions of the vibrations was found, showing that cases which are stable if unperturbed might go into large VIVs if provoked initially by, for instance, inflow turbulence or turbine operations. Depending on the initial vibration amplitudes, multiple limit cycle levels can be triggered, for the same flow case, due to the non-linearity of the aerodynamics. By fitting a simple damping model for the specific blade and mode shape from FSI simulations, it is also demonstrated that the equilibrium limit cycle amplitudes between power injection and dissipation can be estimated using forced-motion simulations, even for the multiple stable vibration cases, with good agreement with fully coupled simulations. Finally, a time series generation from forced-motion simulations and the simple damping model is presented, concluding that CFD amplitude sweeps can estimate not only the final limit cycle oscillation amplitude, but also the vibration build-up time series.

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van Rij, Yu, Guo, and Coe. "A Wave Energy Converter Design Load Case Study." Journal of Marine Science and Engineering 7, no. 8 (July 30, 2019): 250. http://dx.doi.org/10.3390/jmse7080250.

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This article presents an example by which design loads for a wave energy converter (WEC) might be estimated through the various stages of the WEC design process. Unlike previous studies, this study considers structural loads, for which, an accurate assessment is crucial to the optimization and survival of a WEC. Three levels of computational fidelity are considered. The first set of design load approximations are made using a potential flow frequency-domain boundary-element method with generalized body modes. The second set of design load approximations are made using a modified version of the linear-based time-domain code WEC-Sim. The final set of design load simulations are realized using computational fluid dynamics coupled with finite element analysis to evaluate the WEC’s loads in response to both regular and focused waves. This study demonstrates an efficient framework for evaluating loads through each of the design stages. In comparison with experimental and high-fidelity simulation results, the linear-based methods can roughly approximate the design loads and the sea states at which they occur. The high-fidelity simulations for regular wave responses correspond well with experimental data and appear to provide reliable design load data. The high-fidelity simulations of focused waves, however, result in highly nonlinear interactions that are not predicted by the linear-based most-likely extreme response design load method.

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Jiménez-Rodríguez, Diana, and Oscar Arrogante. "Simulated Video Consultations as a Learning Tool in Undergraduate Nursing: Students’ Perceptions." Healthcare 8, no. 3 (August 20, 2020): 280. http://dx.doi.org/10.3390/healthcare8030280.

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Simulated video consultations, a teaching tool based on high-fidelity simulations, were implemented in response to the necessary adaptation of high-fidelity clinical simulation sessions to the online or virtual modality during the university closure due to the COVID-19 confinement. The purpose of our study was to explore the undergraduate nursing students’ satisfaction and perceptions about simulated video consultations using the high-fidelity simulation methodology. A mixed-method was utilized with 93 undergraduate nursing students using a validated satisfaction questionnaire (quantitative data), which included an observations section (qualitative data). Of the total sample, 97.8% of the students expressed a high overall satisfaction with simulated video consultations, highlighting their practical utility and positive learning outcomes. From the students’ comments, two main themes and their related categories emerged: advantages (satisfaction and enjoyment, learning, and calmness during simulated scenarios), and disadvantages (technical issues and technical skills development). Simulated video consultations may be considered as one more high-fidelity simulation teaching option. Nursing students should be trained in this modality of healthcare to face the challenge brought on by its increased use in healthcare services, beyond the specific adaptation of clinical simulation sessions due to the closure of universities during this pandemic.

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Pienaar, Elsje. "Multifidelity Analysis for Predicting Rare Events in Stochastic Computational Models of Complex Biological Systems." Biomedical Engineering and Computational Biology 9 (January 2018): 117959721879025. http://dx.doi.org/10.1177/1179597218790253.

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Rare events such as genetic mutations or cell-cell interactions are important contributors to dynamics in complex biological systems, eg, in drug-resistant infections. Computational approaches can help analyze rare events that are difficult to study experimentally. However, analyzing the frequency and dynamics of rare events in computational models can also be challenging due to high computational resource demands, especially for high-fidelity stochastic computational models. To facilitate analysis of rare events in complex biological systems, we present a multifidelity analysis approach that uses medium-fidelity analysis (Monte Carlo simulations) and/or low-fidelity analysis (Markov chain models) to analyze high-fidelity stochastic model results. Medium-fidelity analysis can produce large numbers of possible rare event trajectories for a single high-fidelity model simulation. This allows prediction of both rare event dynamics and probability distributions at much lower frequencies than high-fidelity models. Low-fidelity analysis can calculate probability distributions for rare events over time for any frequency by updating the probabilities of the rare event state space after each discrete event of the high-fidelity model. To validate the approach, we apply multifidelity analysis to a high-fidelity model of tuberculosis disease. We validate the method against high-fidelity model results and illustrate the application of multifidelity analysis in predicting rare event trajectories, performing sensitivity analyses and extrapolating predictions to very low frequencies in complex systems. We believe that our approach will complement ongoing efforts to enable accurate prediction of rare event dynamics in high-fidelity computational models.

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Bowen-Withington, Julie, Shelaine Zambas, Rachel Macdiarmid, Catherine Cook, and Stephen Neville. "Integration of high-fidelity simulation into undergraduate nursing education in Aotearoa New Zealand and Australia: An integrative literature review." Nursing Praxis Aotearoa New Zealand 36, no. 3 (November 2020): 37–50. http://dx.doi.org/10.36951/27034542.2020.013.

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In undergraduate nursing education, low to high-fidelity simulations are used to prepare students for clinical placement and work readiness. This review provides a synthesis of what is known about the use of high-fidelity simulation in Aotearoa New Zealand and Australian undergraduate nursing education programmes. The aim of this review is to evaluate and synthesise the existing evidence about the use of high-fidelity simulation in these programmes. An integrative literature review methodology was used. Specific search terms and specific inclusion/exclusion criteria were applied to academic databases EBSCO, Medline, CINAHL, and the search engine Google Scholar. Electronic databases were searched for peer reviewed empirical research articles published in English (2000 – 2020), undertaken in Aotearoa New Zealand and Australia. Sixteen studies met the inclusion criteria. The main themes identified from this review included: i) realism and high-fidelity simulation; ii) resource implications; iii) preparation of simulation scenarios; iv) simulation for clinical preparedness; and v) students’ difficulties with simulation. In conclusion, simulation-based experiences continue to be used to support undergraduate nursing student learning. There is a shift from technical skill acquisition to soft skill development such as communication and teamwork. This review suggests that while high-fidelity simulation has benefits, it is resource-intensive, both in terms of equipment, and in the time required for educators to develop scenarios and learning packages. Nonetheless, students remain positive about simulation-based education that is well facilitated.

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Boodaghidizaji, Miad, Monsurul Khan, and Arezoo M. Ardekani. "Multi-fidelity modeling to predict the rheological properties of a suspension of fibers using neural networks and Gaussian processes." Physics of Fluids 34, no. 5 (May 2022): 053101. http://dx.doi.org/10.1063/5.0087449.

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Unveiling the rheological properties of fiber suspensions is of paramount interest to many industrial applications. There are multiple factors, such as fiber aspect ratio and volume fraction, that play a significant role in altering the rheological behavior of suspensions. Three-dimensional (3D) numerical simulations of coupled differential equations of the suspension of fibers are computationally expensive and time-consuming. Machine learning algorithms can be trained on the available data and make predictions for the cases where no numerical data are available. However, some widely used machine learning surrogates, such as neural networks, require a relatively large training dataset to produce accurate predictions. Multi-fidelity models, which combine high-fidelity data from numerical simulations and less expensive lower fidelity data from resources such as simplified constitutive equations, can pave the way for more accurate predictions. Here, we focus on neural networks and the Gaussian processes with two levels of fidelity, i.e., high and low fidelity networks, to predict the steady-state rheological properties, and compare them to the single-fidelity network. High-fidelity data are obtained from direct numerical simulations based on an immersed boundary method to couple the fluid and solid motion. The low-fidelity data are produced by using constitutive equations. Multiple neural networks and the Gaussian process structures are used for the hyperparameter tuning purpose. Results indicate that with the best choice of hyperparameters, both the multi-fidelity Gaussian processes and neural networks are capable of making predictions with a high level of accuracy with neural networks demonstrating marginally better performance.

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Perron, Christian, Dushhyanth Rajaram, and Dimitri N. Mavris. "Multi-fidelity non-intrusive reduced-order modelling based on manifold alignment." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 477, no. 2253 (September 2021): 20210495. http://dx.doi.org/10.1098/rspa.2021.0495.

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This work presents the development of a multi-fidelity, parametric and non-intrusive reduced-order modelling method to tackle the problem of achieving an acceptable predictive accuracy under a limited computational budget, i.e. with expensive simulations and sparse training data. Traditional multi-fidelity surrogate models that predict scalar quantities address this issue by leveraging auxiliary data generated by a computationally cheaper lower fidelity code. However, for the prediction of field quantities, simulations of different fidelities may produce responses with inconsistent representations, rendering the direct application of common multi-fidelity techniques challenging. The proposed approach uses manifold alignment to fuse inconsistent fields from high- and low-fidelity simulations by individually projecting their solution onto a common latent space. Hence, simulations using incompatible grids or geometries can be combined into a single multi-fidelity reduced-order model without additional manipulation of the data. This method is applied to a variety of multi-fidelity scenarios using a transonic airfoil problem. In most cases, the new multi-fidelity reduced-order model achieves comparable predictive accuracy at a lower computational cost. Furthermore, it is demonstrated that the proposed method can combine disparate fields without any adverse effect on predictive performance.

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Howe, Jessica, Joseph Puthumana, Daniel Hoffman, Rebecca Kowalski, Danielle Weldon, Kristen Miller, Peter Weyhrauch, et al. "Development of Virtual Simulations for Medical Team Training: An Evaluation of Key Features." Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 7, no. 1 (June 2018): 261–66. http://dx.doi.org/10.1177/2327857918071062.

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Medical team training (MTT) conducted in a virtual environment fosters growth in cognitive, technical, and clinical aptitudes while offering advantages of flexibility, cost, and ease of scheduling over traditional high- fidelity simulations. Growing technology facilitates innovations to improve the ability to emulate roles, rules, resources, and fidelity. Our objective was to evaluate elements of key features that inform technical specifications for virtual simulations. A narrative review included 27 articles as relevant to elaborate on five key features identified as critical to development of virtual environments for MTT: automated assessment, task fidelity, interface modality, virtual teammates, and adaptability. Designers continue to improve the technology of virtual reality to create better and more enhanced training modules. We must better understand how variances in simulation features impacts performance outcomes and learned behavior. Future research can more deeply examine features beyond the five reviewed here to guide development of effective, cost-efficient virtual simulations for MTT.

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Cotter, Valerie, Danetta Sloan, Daniel Scerpella, Jennifer Wolff, and Kelly Smith. "USING SIMULATION TO ASSESS THE FIDELITY OF ADVANCE CARE PLANNING IN THE CONTEXT OF A PRAGMATIC TRIAL." Innovation in Aging 7, Supplement_1 (December 1, 2023): 464. http://dx.doi.org/10.1093/geroni/igad104.1527.

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Abstract There is growing recognition of the importance of and challenges to maintaining fidelity in pragmatic randomized clinical trials. Simulations using standardized patients are a high-fidelity, low-stake, non-threatening opportunity to evaluate knowledge, skills, and competencies associated with high-quality healthcare delivery. We created standardized patient scenarios grounded in the Respecting Choices First Steps™ Advance Care Planning (ACP) curriculum to assess embedded trial ACP facilitators. Scenarios included simulations representing one-on-one encounters with a patient, and with a patient-family dyad. A standardized encounter observation checklist was used to assess and score relevant skills and behaviors including encounter set-up, ACP topics, and general communication. Each item was scored on a scale from not-done (0) to effective (2) with lower scores indicating lower fidelity. Six facilitators with varied backgrounds (social work, nursing, lay persons) each completed the two simulation scenarios. Group average domain scores across all six facilitators were moderately high. ACP Setup scoring averaged 75.5%; ACP Topics were 72.0%; and Communication were 77.4%. The lowest group scoring was observed in the coverage of ACP Topics (72%). The highest group average was observed in Communication skills at 84.9%. Lower individual scores were observed across all domains for staff who were newly hired at the time of the simulation exercise. Simulation using standardized patients and caregivers allowed investigators to monitor the fidelity of ACP communication to the trial design and provided targeted opportunities for improvement that were not readily available through usual care.

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Hooper, Barbara, Luanne Shaw, and Rebekah Zamzam. "Implementing High-Fidelity Simulations With Large Groups of Nursing Students." Nurse Educator 40, no. 2 (2015): 87–90. http://dx.doi.org/10.1097/nne.0000000000000101.

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Journal articles on the topic 'High-Fidelity simulations'

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