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Journal articles on the topic 'Collaborative Simulation'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Ngo, Thye Peng, Claire Burke Draucker, Roxie L. Barnes, Kyungbin Kwon, and Deanna L. Reising. "Peer Collaborative Clinical Decision Making in Nursing Simulation: A Theoretical Framework." Journal of Nursing Education 63, no. 7 (2024): 435–43. http://dx.doi.org/10.3928/01484834-20240505-08.

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Background: Collaboration and decision making among nursing students are essential competencies in nursing education. However, how students collaborate and make decisions in simulation is a complex phenomenon and not well understood. This study aimed to develop a framework that describes peer collaborative clinical decision making (PCCDM) among nursing students in simulation. Method: Charmaz's constructivist grounded theory method was used. The sample included 32 participants (16 dyads) from two nursing programs. Results: The PCCDM framework described three interrelated functional domains (cog

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Palmer, Bobbi J., and Kathy Ham. "Collaborative Simulation." Nursing Education Perspectives 38, no. 5 (2017): 281–82. http://dx.doi.org/10.1097/01.nep.0000000000000166.

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Junious, DeMonica Latrice. "Collaborative Simulation Training." Nursing Education Perspectives 41, no. 1 (2020): 57–58. http://dx.doi.org/10.1097/01.nep.0000000000000404.

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Suike, Li, Bai Sijun, Wang Xubo, and Guo Yuntao. "Remote Collaboration and Simulation Model for Weapons Development Based on Logistic." Open Mechanical Engineering Journal 8, no. 1 (2014): 53–57. http://dx.doi.org/10.2174/1874155x01408010053.

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The Logistic model and simulation algorithms in the ecological species were introduced to analyze the remote collaborative structure of weapons model development and the equilibrium and stability condition of its mode. The weapons development remote collaborative structure was designed, and two collaborative logistic models of the model development was built as “O—A” and “A—A”. The stability conditions of two modes were calculated and policy implications were analyzed, dynamic evolution of the collaborative model was simulated by numerical simulation. Simulation results show that the stability

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Beard, John D. "II A Collaborative Simulation." Bulletin of the Association for Business Communication 53, no. 2 (1990): 65–67. http://dx.doi.org/10.1177/108056999005300213.

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Iammarino, Cassandra (Sammy), Jessie Johnson, Monica Zolezzi, and Zohra Samnani Hasnani. "Simulation in mental health interprofessional education." Journal of Nursing Education and Practice 10, no. 10 (2020): 46. http://dx.doi.org/10.5430/jnep.v10n10p46.

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Purpose: Mental health care involves multiple professionals from diverse backgrounds providing interdependent and complex services. Accordingly, care needs to be planned skillfully in partnership with health and social care providers and mental health service users. Working from an interprofessional lens enables professionals to work collaboratively to affect care that is safe and improves health outcomes. Yet, in practice there is often a disconnect between mental health care professionals that hinders collaborative practice and impacts the quality of care. Furthermore, stigmatization of ment

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Guo, Ke Xi, Ying Huang, and Hua Zong. "Application Research on Collaborative Design of Engineering Machinery Design." Applied Mechanics and Materials 37-38 (November 2010): 194–97. http://dx.doi.org/10.4028/www.scientific.net/amm.37-38.194.

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This paper elaborates the main contents of collaborative design supported by computer and discusses cores of collaborative design architecture of engineering machinery and real-time collaboration under the CAD environment. Under the collaborative characteristics of simulation technology, it expounds the notion of collaborative simulation and operational environment. Finally it points out that cooperative work supported by computer has a broad applied prospect in the manufacturing industry of engineering machinery.

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Syynimaa, Kirsi, Kirsi Lainema, and Timo Lainema. "Higher Education Students’ Experiences of Game-Based Learning - Fostering and Hampering Aspects in Virtual Teamwork." International Journal of Technology in Education 7, no. 4 (2024): 754–80. http://dx.doi.org/10.46328/ijte.860.

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The application of digital game-based learning (GBL) methods has lately received more attention in higher education (HE). An extensive body of previous investigations has recognised the potential of instructional games to advance the learning of appropriate work life skills. However, there seems to be a lack of understanding in the current literature regarding the students’ views towards meaningful ways to collaborate in virtual teams during educational activities. The current study is contextualised by a business simulation game and examines university students' experiences through working co

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Graça, Paula, and Luis M. Camarinha-Matos. "Assessment of Sustainable Collaboration in Collaborative Business Ecosystems." Computers 10, no. 12 (2021): 167. http://dx.doi.org/10.3390/computers10120167.

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Advances in information and communication technologies and, more specifically, in artificial intelligence resulted in more intelligent systems, which, in the business world, particularly in collaborative business ecosystems, can lead to a more streamlined, effective, and sustainable processes. Following the design science research method, this article presents a simulation model, which includes a performance assessment and influence mechanism to evaluate and influence the collaboration of the organisations in a business ecosystem. The establishment of adequate performance indicators to assess

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Smith, Matt. "Delivering a collaborative simulation experience." British Journal of Nursing 33, no. 21 (2024): 1014. http://dx.doi.org/10.12968/bjon.2024.0429.

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Kalay, Yehuda E., and Yongwook Jeong. "A Collaborative Design Simulation Game." International Journal of Architectural Computing 1, no. 4 (2003): 423–34. http://dx.doi.org/10.1260/147807703773633446.

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Taylor, Simon, Martin Boulger, and Vlatka Hlupic. "Collaborative Simulation Modelling: Part 1." OR Insight 14, no. 4 (2001): 3–10. http://dx.doi.org/10.1057/ori.2001.14.

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Khanh, Nguyen Trong. "DeCoSim: A method for Collaborative Simulation of Complex Systems." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 9, no. 12 (2020): 245–50. https://doi.org/10.35940/ijitee.L7998.1091220.

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The simulation of complex systems increasingly requires the collaboration of related researchers: domain experts (e.g. experts in the studied domains), modellers and computer scientists. However, the actual methods of modelling and simulation allow to produce only simulators that are used locally and considered as standalone applications. This kind of simulator hampers the exchange of these researchers; especially for the domain experts who are usually geographical distributed and not expert at using support tools. Our research focus on the collaboration among these scientists where many issue

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Golightly, David, Anirban Bhattacharyya, Ken Pierce, et al. "Applying Collaborative Co-Simulation to Railway Traction Energy Consumption." Electronics 14, no. 7 (2025): 1467. https://doi.org/10.3390/electronics14071467.

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Simulation is a vital tool for understanding rail traction energy consumption. Simulating such energy consumption requires an understanding of the interactions between timetable, infrastructure, and driver behavior to be encapsulated within a multi-train system model. This is critical to simulating systemic interactions that affect energy consumption on a rail network. However, building and executing such a system simulation is challenging because of diverse models, stakeholders, and knowledge, as well as a lack of tools to support flexible and scalable simulation. This paper presents a demons

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Gao, Shan, Hua Geng, Yaqiong Ge, and Wenbin Zhang. "ARM Cortex Simulation Design for Trajectory Curves Evaluation of Collaborative Robots’ Tungsten Inert Gas Welding." Processes 12, no. 6 (2024): 1095. http://dx.doi.org/10.3390/pr12061095.

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An ARM Cortex simulation system for collaborative welding robots is presented in this paper. The components of the ARM Cortex SoC for embedded robot control, an OpenGL ES with image rendering, and a 3D geometry engine OpenCasCade for modeling are integrated for the purposes of simulating system self-controllability and cost effectiveness. This simulation of a collaborative welding robot achieved convenience while meeting the performance requirements; meanwhile, the auxiliary design was able to mark the trajectory of the robot’s end effector and reveal the collaborative robot’s inverse kinemati

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Zhao, Ying Hong, Yan Kai Wang, and Chong Zhang. "Agent-Based Distributed Formation Tracking Adaptive Collaborative Control Simulation System." Applied Mechanics and Materials 380-384 (August 2013): 313–16. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.313.

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Collaboration of multi-satellite system has a good application effect in the global remote sensing and three-dimensional observations field. Develop collaborative multi-satellite formation flight simulation system based on HLA is of great significance for the study of complex formation change process in the multi-satellite formation flying. We first design the collaborative multi-satellite formation flight simulation system based on HLA, then study the application of Agent-based modeling technology in the collaborative of multi-satellite formation flight simulation. The key technologies involv

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Huaiying Lei, Jueping Xie, Ruikai Feng,. "Computer-aided Numerical Simulation Analysis of Collaborative Innovation within Government-Industry-University-Institute Models Using Evolutionary Game Theory." Journal of Electrical Systems 20, no. 2 (2024): 1813–23. http://dx.doi.org/10.52783/jes.1629.

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Collaborative innovation among government, industry, universities, and institutes (GIUI) is an essential approach for achieving national development driven by innovation and enhancing regional competitiveness. However, the existing collaborative innovation faces challenges such as uneven distribution of benefits, unequal risk sharing, and inadequate institutional and policy support. This study harnesses the power of numerical simulation to dissect the complexities of GIUI collaboration, using the evolutionary game theory to construct a payoff matrix. By conducting numerical simulations using t

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Andrea, Catherine M., Jason E. Cook, and Anne H. Boddy. "Collaboration from a Distance: Remote Simulation in Hybrid Healthcare Education." Health, Interprofessional Practice and Education 5 (November 28, 2023): 6. http://dx.doi.org/10.61406/hipe.290.

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Introduction: Simulation is an established method to teach interprofessional collaborative practice, but little is known about best practices when using simulation for remote learning activities in allied healthcare education. This mixed-methods study seeks to provide hybrid healthcare program educators with evidence regarding the effect of a remote simulation to address the topic of interprofessional collaboration. Methods: Authors investigated student self-assessed competency, satisfaction, and self-confidence in response to a remote learning activity in which Doctor of Physical Therapy (DPT

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Sun, Qiuli, and Kurt Gramoll. "Internet-based Distributed Collaborative Engineering Analysis." Concurrent Engineering 10, no. 4 (2002): 341–48. http://dx.doi.org/10.1177/a030347.

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This paper proposes an engineering analysis environment that allows remote users to conduct three-dimensional finite element analysis collaboratively through the Internet. Java and Java 3D were chosen to develop the working prototype due to their advantages of platform-independence and network supporting. The environment allows remote users to work collaboratively on the same analysis object simultaneously. It reads the geometric data generated by the collaborative geometric modeling environment. The user can interact directly with the geometric model to perform operations, such as applying, e

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Tivener, Kristin Ann, and Donna Sue Gloe. "Designing Simulations for Athletic Training Students Through Interprofessional Teaching Collaboration." Athletic Training Education Journal 10, no. 3 (2015): 249–55. http://dx.doi.org/10.4085/1003249.

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Context While multidisciplinary team approaches to education and practice have been promoted for decades, literature on collaborative efforts in athletic training and nursing remains sparse. Objective The goal of this article is to provide an example of an interprofessional teaching collaboration in which a simulation scenario was developed between athletic training and nursing education faculty members and to outline the observed benefits and barriers arising from this approach. Background Interprofessional education and interdepartmental faculty collaboration are increasingly becoming more e

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Eckels, Mary, Terry Zeilinger, Henry C. Lee, et al. "A Neonatal Intensive Care Unit’s Experience with Implementing an In-Situ Simulation and Debriefing Patient Safety Program in the Setting of a Quality Improvement Collaborative." Children 7, no. 11 (2020): 202. http://dx.doi.org/10.3390/children7110202.

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Extensive neonatal resuscitation is a high acuity, low-frequency event accounting for approximately 1% of births. Neonatal resuscitation requires an interprofessional healthcare team to communicate and carry out tasks efficiently and effectively in a high adrenaline state. Implementing a neonatal patient safety simulation and debriefing program can help teams improve the behavioral, cognitive, and technical skills necessary to reduce morbidity and mortality. In Simulating Success, a 15-month quality improvement (QI) project, the Center for Advanced Pediatric and Perinatal Education (CAPE) and

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Curșeu, Petru Lucian, and Sandra G. L. Schruijer. "Participation and Goal Achievement of Multiparty Collaborative Systems Dealing with Complex Problems: A Natural Experiment." Sustainability 12, no. 3 (2020): 987. http://dx.doi.org/10.3390/su12030987.

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Multiparty collaborative systems often deal with wicked sustainability challenges. Previous research has emphasized the important role of stakeholder representation and participation in comprehensive sustainability decisions. We report the results of an empirical test of the effect of stakeholder participation on systemic goal achievement and on multiparty dynamics in a natural experiment, using the results obtained through two simulations in which 44 professionals participated. In one of the simulations a ‘party exclusion dynamic’ evolved. As the two simulations had a similar baseline, the sa

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Torres, María Angélica, LUIS GERARDO MONTANE JIMENEZ, and MARÍA TERESA CEPERO GARCÍA. "MULTI-AGENT COLLABORATIVE WORK SIMULATION FOR PATIENT CARE IN HOSPITALS." DYNA NEW TECHNOLOGIES 8, no. 1 (2021): [12 pp]. http://dx.doi.org/10.6036/nt10069.

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In the area of computing, we can find studies on collaborative systems, these are defined as computer applications that support teamwork. Among the various models of collaborative systems that have been raised over time, we find elements such as activities and the characterization of the user individually and in teams. These elements share characteristics of multi-agent systems used in artificial intelligence to, among other things, perform simulations. Based on the elements collaborative systems, we proposed a multi-agent implementation to simulate the collaborative activity in a hospital and

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Yeongho Kim, Jeong-Ho Choi, Jongki Lee, et al. "Collaborative surgical simulation over the Internet." IEEE Internet Computing 5, no. 3 (2001): 65–73. http://dx.doi.org/10.1109/4236.935179.

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Gonzalez, Laura, and Kelly Allred. "A collaborative approach to simulation development." BMJ Simulation and Technology Enhanced Learning 3, no. 4 (2017): 159–62. http://dx.doi.org/10.1136/bmjstel-2017-000204.

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BackgroundMeeting employer expectations is a challenge for new nurse graduates and their nurse educators. Designing studies to collect specific data on hospital expectations and new nursing graduate deficiencies is needed.SampleHospital-based educators and preceptors (n=13) participated in one of two focus groups, to identify problem areas. Senior nursing students (n=64) participated in simulations developed from data obtained in the sessions.MethodsAudio-recorded focus groups were conducted with the goal to identify deficiencies in new graduate nurses. Recordings were transcribed and analysed

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Last, David, Carsten F. Roennfeldt, and Brytan Mendes. "Collaborative Multinational Military Education: Arctic Simulation." Scandinavian Journal of Military Studies 4, no. 1 (2021): 1–12. http://dx.doi.org/10.31374/sjms.41.

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Alfes, Celeste M., Tonya Rutherford-Hemming, Casey M. Schroeder-Jenkinson, Cynthia Booth Lord, and Elizabeth Zimmermann. "Promoting Interprofessional Collaborative Practice Through Simulation." Nursing Education Perspectives 39, no. 5 (2018): 322–23. http://dx.doi.org/10.1097/01.nep.0000000000000285.

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Hudnurkar, Manoj, and Urvashi Rathod. "Collaborative supply chain: insights from simulation." International Journal of System Assurance Engineering and Management 3, no. 2 (2012): 122–44. http://dx.doi.org/10.1007/s13198-012-0114-9.

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Ugrin, Joseph C., Marcus D. Odom, Darla D. Honn, and Anna M. Rose. "The Effects of Collaborative Simulation on the Development of Students' Confidence in Managerial Accounting Skills." Issues in Accounting Education 36, no. 2 (2021): 43–63. http://dx.doi.org/10.2308/issues-19-112.

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ABSTRACT This paper examines the effects of practice through collaborative simulation on the development of students' confidence in critical managerial accounting skills not commonly covered in traditional lecture courses. We assign students to teams that complete a large-scale integrative business simulation (LSIBS), the CAPSIM Foundation's Business Strategy Simulation Game, which serves as a collaborative learning experience. The semester-long project requires students to practice the managerial accountant's job through phased assignments where they make individual assessments, collaborate t

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Tang, Wenjie, Wentong Cai, Yiping Yao, Xiao Song, and Feng Zhu. "An alternative approach for collaborative simulation execution on a CPU+GPU hybrid system." SIMULATION 96, no. 3 (2019): 347–61. http://dx.doi.org/10.1177/0037549719885178.

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In the past few years, the graphics processing unit (GPU) has been widely used to accelerate time-consuming models in simulations. Since both model computation and simulation management are main factors that affect the performance of large-scale simulations, only accelerating model computation will limit the potential speedup. Moreover, models that can be well accelerated by a GPU could be insufficient, especially for simulations with many lightweight models. Traditionally, the parallel discrete event simulation (PDES) method is used to solve this class of simulation, but most PDES simulators

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Herrera-Medina, Eleonora, and Antoni Riera Font. "A Multiagent Game Theoretic Simulation of Public Policy Coordination through Collaboration." Sustainability 15, no. 15 (2023): 11887. http://dx.doi.org/10.3390/su151511887.

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Background: Policy coordination is necessary to address many of the sustainability challenges we face today. The formal representations of policy coordination focus on modeling conflict management but neglect its collaborative nature. This limits efforts to build more realistic models of policy coordination. The objective of this paper is to simulate collaboration and noncollaboration between agents in the context of policy coordination in order to determine the effect of different approaches to policy coordination. Methods: For this purpose, a multiagent simulation of collaboration based on e

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Poler, Raul, Jorge E. Hernandez, Josefa Mula, and Francisco C. Lario. "Collaborative forecasting in networked manufacturing enterprises." Journal of Manufacturing Technology Management 19, no. 4 (2008): 514–28. http://dx.doi.org/10.1108/17410380810869941.

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PurposeThis paper seeks to propose an overall model of collaborative forecasting for networked manufacturing enterprises.Design/methodology/approachContributions by several authors to collaborative forecasting have been analysed from different viewpoints. A collaborative‐forecasting model for networked manufacturing enterprises has been proposed and validated by means of a simulation study.FindingsThis model significantly reduces the inventory levels of the whole network and improves customer service.Research limitations/implicationsSimulation experiments were done with the enterprise network

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Lima, Fábio, Caroline Nogueira De Carvalho, Mayara B. S. Acardi, et al. "Digital Manufacturing Tools in the Simulation of Collaborative Robots: Towards Industry 4.0." Brazilian Journal of Operations & Production Management 16, no. 2 (2019): 261–80. http://dx.doi.org/10.14488/bjopm.2019.v16.n2.a8.

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Goal: The main objective of this study is to analyze the impact of inserting a collaborative robot in a production line of a factory of the automotive sector. Design / Methodology / Approach: Two simulation environments were developed. The first one models the original operation without the collaborative robot. The second one evaluates the impact of inserting the robot. This work is quantitative. Results: The paper presents the use of digital manufacturing tools in a simulation of a collaborative operation between a human and a collaborative robot. The simulations with and without

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Smith, Leslie M., Denise Campbell, Nicholas Prush, Suzanne Trojanowski, Erica Sherman, and Elizabeth Yost. "Implementation and Mixed-Methods Assessment of an Early Mobility Interprofessional Education Simulation." Dimensions of Critical Care Nursing 43, no. 3 (2024): 158–67. http://dx.doi.org/10.1097/dcc.0000000000000634.

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Introduction Extended periods of bed rest and mechanical ventilation (MV) have devastating effects on the body. Background Early mobility (EM) for patients in respiratory failure is safe and feasible, and an interprofessional team is recommended. Using simulation to train EM skills improves student confidence. The purpose of this study was to enable health care student collaboration as an interprofessional team in providing safe management and monitoring during an EM simulation for a patient requiring MV. Methods Nursing (n = 33), respiratory (n = 7), occupational (n = 24), and physical therap

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Breunig, M., A. Borrmann, E. Rank, et al. "COLLABORATIVE MULTI-SCALE 3D CITY AND INFRASTRUCTURE MODELING AND SIMULATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W4 (September 27, 2017): 341–52. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w4-341-2017.

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Computer-aided collaborative and multi-scale 3D planning are challenges for complex railway and subway track infrastructure projects in the built environment. Many legal, economic, environmental, and structural requirements have to be taken into account. The stringent use of 3D models in the different phases of the planning process facilitates communication and collaboration between the stake holders such as civil engineers, geological engineers, and decision makers. This paper presents concepts, developments, and experiences gained by an interdisciplinary research group coming from civil engi

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Guo, Yin Zhang, and Jian Chao Zeng. "Temporal Inference and Simulation in Collaborative Design Process Based on Time Petri Net." Applied Mechanics and Materials 34-35 (October 2010): 85–91. http://dx.doi.org/10.4028/www.scientific.net/amm.34-35.85.

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Complex manufacture collaborative design process is a dynamic process with uncertainty, which is a process with multi-task executing in a parallel manner. It has obviously time constraint, which has been few studied up to now. Temporary inference and simulation problem for complex manufacture design process are mainly studied in this paper. Firstly, a Petri net model for collaborative design process is proposed based on time Petri net theory and four temporary inference algorithms of ordering, paralleling, selecting and circling structures in collaborative design process. Secondly, the authors

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Wang, Dawei, Jun Guan, Chunxiu Liu, Chuke Jiang, and Lizhi Xing. "Simulation of Cooperation Scenarios of BRI-Related Countries Based on a GVC Network." Systems 10, no. 1 (2022): 12. http://dx.doi.org/10.3390/systems10010012.

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The inter-country input–output table is appropriate for presenting sophisticated inter-industry dependencies from a global perspective. Using the above table one can perceive the amount of production resources that sectors obtain from their upstream ones, as well as the number of productive capacities that sectors provide for their downstream ones. In other words, competition/collaboration occurs when sectors share the same providers/consumers because all sectors’ products and services outputted to downstream ones are limited. Thus, inter-industry competition for inputs from upstream sectors,

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Förster, Nick, Ivan Bratoev, Jakob Fellner, Gerhard Schubert, and Frank Petzold. "Collaborating with the crowd." International Journal of Architectural Computing 20, no. 1 (2022): 76–95. http://dx.doi.org/10.1177/14780771221082258.

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Microscopic agent-based simulations promise the meaningful inclusion of crowd dynamics in planning processes. However, such complex urban issues depend on a multiplicity of criteria. Thus, an isolated model cannot represent the walk of pedestrians meaningfully in planning contexts. This paper reframes crowd simulation as collaborative experimentation and embeds it directly in the design process. Beyond the simulation algorithm, this perspective draws attention to user interactions, interfaces, and visualizations as crucial simulation elements. Through a prototype, we combine an agent-based ped

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Ma, Cheng, Tian Yuan Xiao, Wen Hui Fan, Hong Bo Sun, and Ying Chao Yue. "Two Novel Adams Model Encapsulation Methods in HLA Based Collaborative Product Development." Applied Mechanics and Materials 130-134 (October 2011): 1085–91. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.1085.

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As a well-known standard of distributed simulation, High Level Architecture (HLA) has adopted as basic framework in most distributed interactive simulation (DIS) systems. At the same time, DIS always involves multiple disciplinary simulation models which are supported by different software. And these software are not always compatible with HLA. For example, though widely used in mechanical kinetics and kinematics simulations, ADAMS, a multi-body kinetics simulation software cannot directly support HLA. To address this issue, this paper analyses redevelopment of legacy systems and models (such

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Huang, Jingyi, Ziyi Yang, Jiarui Li, Shuying Wu, Xinyu Zhang, and Bo Li. "Multi UAV Cooperative Reconnaissance based on Dynamic Programming VDN Algorithm." Journal of Intelligent Communication 4, no. 1 (2024): 44–62. http://dx.doi.org/10.54963/jic.v4i1.238.

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This paper proposes a multi agent value decomposition network (VDN) based multi UAV collaborative reconnaissance and control method to address the issue of insufficient strategies for multi UAV collaborative reconnaissance and control. By designing corresponding algorithm networks and training processes, the goal of autonomy, collaboration, and intelligence among multiple unmanned aerial vehicle systems has been achieved, assisting unmanned aerial vehicle combat forces in achieving collaborative operations and decision-making. This article uses AirSim as the simulation verification environment

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Husslage, Bart, Edwin van Dam, Dick den Hertog, Peter Stehouwer, and Erwin Stinstra. "Collaborative Metamodeling: Coordinating Simulation-based Product Design." Concurrent Engineering 11, no. 4 (2003): 267–78. http://dx.doi.org/10.1177/1063293x03039895.

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Qin, S. F., and D. K. Wright. "Incremental simulation modelling for Internet collaborative design." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 218, no. 8 (2004): 1009–15. http://dx.doi.org/10.1243/0954405041486127.

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Wang, Haiwei, Geng Liu, Xiaohui Yang, and Zhaoxia He. "Collaborative Simulation Environment for mechanical system design." International Journal of Product Development 13, no. 1 (2011): 38. http://dx.doi.org/10.1504/ijpd.2011.037593.

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Trotter, Kathryn, Melinda Blazar, Virginia C. Muckler, Michele Kuszajewski, and Margory A. Molloy. "Perinatal IPE simulation can improve collaborative competencies." Journal of Interprofessional Education & Practice 15 (June 2019): 30–33. http://dx.doi.org/10.1016/j.xjep.2019.01.011.

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Bentley, Regina, and Candi Seaback. "A Faculty Development Collaborative in Interprofessional Simulation." Journal of Professional Nursing 27, no. 6 (2011): e1-e7. http://dx.doi.org/10.1016/j.profnurs.2011.08.009.

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Burgess, Colleen C. "Developing a collaborative regional nursing simulation hospital." Teaching and Learning in Nursing 2, no. 2 (2007): 53–57. http://dx.doi.org/10.1016/j.teln.2007.01.008.

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Kampis, George, Jan W. Kantelhardt, Kamil Kloch, and Paul Lukowicz. "Analytical and simulation models for collaborative localization." Journal of Computational Science 6 (January 2015): 1–10. http://dx.doi.org/10.1016/j.jocs.2014.09.001.

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Smith, William, Martyn Guest, Ilian Todorov, and Paul Durham. "Molecular simulation and the collaborative computational projects." European Physical Journal H 45, no. 4-5 (2020): 259–343. http://dx.doi.org/10.1140/epjh/e2020-10034-9.

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Stennett, Randall, Tracey D. Cooper, Carla Hilton, and Sharon Decker. "A Collaborative Scenario Writing Tool for Simulation." Clinical Simulation in Nursing 5, no. 3 (2009): e151. http://dx.doi.org/10.1016/j.ecns.2009.04.077.

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Lee, Jun-Kyu. "Collaborative Maintenance Simulation System Using Virtual Mockup." Journal of Korea Multimedia Society 15, no. 1 (2012): 148–65. http://dx.doi.org/10.9717/kmms.2012.15.1.148.

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