complex simulation
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2021 ◽  
Vol 134 (24) ◽  

ABSTRACT First Person is a series of interviews with the first authors of a selection of papers published in Journal of Cell Science, helping early-career researchers promote themselves alongside their papers. Jia Yu and Pei-Ju Liao are co-first authors on ‘ Structural model of human PORCN illuminates disease-associated variants and drug-binding sites’, published in JCS. Jia is a senior postdoc in the lab of David Virshup at Duke-NUS Medical School, Singapore, investigating Wnt secretion and signalling; in particular, how Wnt trafficking and secretion is regulated by two integral membrane proteins, porcupine and WLS. Pei-Ju is a research assistant in the same lab, investigating protein–protein interactions in the systems biology of signalling pathways using protein structure modelling and protein complex simulation.


Author(s):  
Virginia R. Stewart ◽  
Deirdre G. Snyder ◽  
Chia-Yu Kou

AbstractAccountability is of universal interest to the business ethics community, but the emphasis to date has been primarily at the level of the industry, organization, or key individuals. This paper unites concepts from relational and felt accountability and team dynamics to provide an initial explanatory framework that emphasizes the importance of social interactions to team accountability. We develop a measure of team accountability using participants in the USA and Europe and then use it to study a cohort of 65 teams of Irish business students over three months as they complete a complex simulation. Our hypotheses test the origins of team accountability and its effects on subsequent team performance and attitudinal states. Results indicate that initial team accountability is strongly related to team trust, commitment, efficacy, and identifying with the team emotionally. In established teams, accountability increases effort and willingness to continue to collaborate but did not significantly improve task performance in this investigation.


Author(s):  
Max-Arno Meyer ◽  
Lina Sauter ◽  
Christian Granrath ◽  
Hassen Hadj-Amor ◽  
Jakob Andert

AbstractTo meet the challenges in software testing for automated vehicles, such as increasing system complexity and an infinite number of operating scenarios, new simulation methods must be developed. Closed-loop simulations for automated driving (AD) require highly complex simulation models for multiple controlled vehicles with their perception systems as well as their surrounding context. For the realization of such models, different simulation domains must be coupled with co-simulation. However, widely supported model integration standards such as functional mock-up interface (FMI) lack native support for distributed platforms, which is a key feature for AD due to the computational intensity and platform exclusivity of certain models. The newer FMI companion standard distributed co-simulation protocol (DCP) introduces platform coupling but must still be used in conjunction with AD co-simulations. As part of an assessment framework for AD, this paper presents a DCP compliant implementation of an interoperable interface between a 3D environment and vehicle simulator and a co-simulation platform. A universal Python wrapper is implemented and connected to the simulator to allow its control as a DCP slave. A C-code-based interface enables the co-simulation platform to act as a DCP master and to realize cross-platform data exchange and time synchronization of the environment simulation with other integrated models. A model-in-the-loop use case is performed with the traffic simulator CARLA running on a Linux machine connected to the co-simulation master xMOD on a Windows computer via DCP. Several virtual vehicles are successfully controlled by cooperative adaptive cruise controllers executed outside of CARLA. The standard compliance of the implementation is verified by exemplary connection to prototypic DCP solutions from 3rd party vendors. This exemplary application demonstrates the benefits of DCP compliant tool coupling for AD simulation with increased tool interoperability, reuse potential, and performance.


2021 ◽  
Vol 11 (10) ◽  
pp. 982
Author(s):  
Patricia Alcañiz ◽  
Jesús Pérez ◽  
Alessandro Gutiérrez ◽  
Héctor Barreiro ◽  
Ángel Villalobos ◽  
...  

Simulation technologies offer interesting opportunities for computer planning of orthognathic surgery. However, the methods used to date require tedious set up of simulation meshes based on patient imaging data, and they rely on complex simulation models that require long computations. In this work, we propose a modeling and simulation methodology that addresses model set up and runtime simulation in a holistic manner. We pay special attention to modeling the coupling of rigid-bone and soft-tissue components of the facial model, such that the resulting model is computationally simple yet accurate. The proposed simulation methodology has been evaluated on a cohort of 10 patients of orthognathic surgery, comparing quantitatively simulation results to post-operative scans. The results suggest that the proposed simulation methods admit the use of coarse simulation meshes, with planning computation times of less than 10 seconds in most cases, and with clinically viable accuracy.


2021 ◽  
Author(s):  
Ravi Anant Kishore ◽  
Chuck Booten ◽  
Sajith Wijesuriya

Abstract Radiation cooling is a promising solid-state, non-vapor-compression technology for passive refrigeration and air conditioning. Although this phenomenon occurs naturally, achieving a significant amount of cooling to make it a technically and economically viable technology requires highly engineered, spectrally selective radiative surfaces. These characteristics make radiation cooling difficult to estimate, particularly when it is integrated with other systems such as photovoltaic panels or building envelopes. The complexity further increases when the substrate also participates in the radiative cooling (along with the radiative coating). Energy estimation is becoming increasingly critical because of the recent focus on the semitransparent radiative coatings that transmit a variety of colors to enhance the aesthetic appeal of the system. Here, we propose a simple iterative method to calculate the effective radiative properties, which provide the same net radiative cooling that would be observed using the spectral properties at both the coating and substrate surfaces. Compared to traditional methods that rely on either computationally expensive full spectral analysis or methods for averaging each radiative surface parameter locally, our proposed method focuses on calculating effective properties that provide the same the net cooling effect as a full spectral analysis by accounting the emissivity, absorptivity, and transmissivity collectively, thereby providing an overall estimation error of less than 0.2%. We believe that this study will be beneficial to the engineering communities that employ complex simulation codes and require lumped solar and thermal radiation related parameters.


2021 ◽  
Vol 5 (4) ◽  
pp. 521-532
Author(s):  
Artem Bratko ◽  
Viktor Bereziuk ◽  
Artem Shevchenko ◽  
Yaroslav Kubetsky ◽  
Valentyn Didyk ◽  
...  

Problems and modern tendencies in the field of creating complex models of combat operations are considered. The systematic analysis of existing models of combat operations is carried out and their conformity to modern conditions and development of military art is defined. Features of combat operations models development when using means of simulation modelling are exposed with the use of a method of mathematical simulation. The structure of the complex simulation modelling of actions of forces is formed. The composition of standard models of components of the security and defence sector is determined and the sphere of their application is outlined, which allows controlling the unit in different situations at the stage of choosing decisions at different levels of management. The main directions of the development of modelling complexes and systems are determined. The practical implementation of these approaches, along with the implementation of the principles of cost-effectiveness of models, their coordinated development, system compatibility of models for different purposes and large-scale use of proven commercial decisions will create a cluster of combat operations models, which is a real tool for effective decision-making on troops management and allows laying down technical requirements for the development of a modern complex of simulation modelling. Doi: 10.28991/esj-2021-01294 Full Text: PDF


SIMULATION ◽  
2021 ◽  
pp. 003754972110228
Author(s):  
Wei Li ◽  
Shenglin Lin ◽  
Xiaochao Qian ◽  
Ping Ma ◽  
Ming Yang

Researchers usually rely on simulations to predict the response of complex systems, we recognize that the models that underlie these simulations are never perfect. Model validation is a crucial ingredient in simulation credibility assessment. Multivariate responses under uncertainty often exist in complex simulation model, and the corresponding validation problem is not be solved effectively based on the existing validation methods. Hence, this paper presents a new validation method based on evidence theory for simulation model under uncertainty. For analyzing the extent of agreement between simulation outputs and experimental observations under uncertainty, the data features of system responses under uncertainty are extracted primarily. Next, the validation data such as large sample, small sample, data features, and expert opinions are represented as evidence theory. Then the traditional evidence distance method is improved to measure the agreement extent of simulation outputs and experimental observations. The proposed method is verified through an application example on validation of a simulation model about the terminal guidance stage of flight vehicle to illustrate their validity and potential benefits.


SIMULATION ◽  
2021 ◽  
pp. 003754972110288
Author(s):  
Alejandro Cassini

Some philosophers of science have recently argued that the epistemic assessment of complex simulation models, such as climate models, cannot be free of the influence of social values. In their view, the assignment of probabilities to the different hypotheses or predictions that result from simulations presupposes some methodological decisions that rest on value judgments. In this article, I criticize this claim and put forward a Bayesian response to the arguments from inductive risk according to which the influence of social values on the calculation of probabilities is negligible. I conclude that the epistemic opacity of complex simulations, such as climate models, does not preclude the application of Bayesian methods.


2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Claudia C. Behrens ◽  
Erik W. Driessen ◽  
Diana H. Dolmans ◽  
Gerard J. Gormley

Abstract Background Simulation-based education can induce intense learner emotions. The interplay between emotions and learning is less well understood. Gaining greater insights into learner emotions has potential to guide how best we manage emotions and optimise learning. This study aimed to understand learners’ lived emotional experiences in complex simulation and the perceived impact on learning. Methods Eight final-year medical students participated in the study. Wearing video-glasses, participants took part in a ward-based simulation. Video-footage was used to elicitate exploratory interviews and analysed using Template Analysis reflexively. Results Analysis yielded four main themes: ‘nervous anticipation’: encapsulating the fear, anxiety and uncertainty experienced by learners prior to simulation; ‘shock and awe’: feelings of anxiousness and being overwhelmed at the start of a simulation; ‘in the moment: flowing or buffeting with the emotions’: experiencing fear of being judged as incompetent, but also experiencing positive emotions such as satisfaction; ‘safe-landing?’: whilst debriefing aimed to encourage more positive emotions, negative emotions about the simulation could persist even with debriefing. Conclusions Complex simulation can evoke intense emotions in students. If students experienced a positive progression, they reported positive emotions and felt competent which was perceived to have a positive impact on learning. If students experienced failure, they reported strong negative emotions which made them question about their future performance and was perceived as negative for learning. Bringing to the surface these complex emotional dynamics, could permit educators to be aware of and adapt the emotional climate within simulation in order to optimise learning.


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