Research on Simulation Scenario Entity Transform Based on Visually Mapping

2016 ◽  
pp. 651-659
Author(s):  
Xin Wang ◽  
LaiBin Yan
Keyword(s):  
Simulation Scenario

El debriefing, aprendizaje reflexivo en la simulación interprofesional

2019 ◽  
Vol 62 (0) ◽  
pp. 45-53
Author(s):  
Hugo E. Olvera ◽  
Argimira Vianey Barona Nuñez ◽  
Laura S. Hernández Gutiérrez ◽  
Erick López León
Keyword(s):  
Clinical Practice ◽  
Communication Skills ◽  
Learning Objectives ◽  
Complex Activity ◽  
Learning Space ◽  
Daily Lives ◽  
Reaction Phase ◽  
Analysis Phase ◽  
Simulation Scenario ◽  
Basic Standards

In the field of interprofessional simulation, an important element for achieving the stated objectives of the simulation scenario is the debriefing. The debriefing is a complex activity that requires certain skills, experience and knowledge from the facilitator or facilitators, who are known as debriefer/s. Their function is to make the participants reflect on the reasons for their actions, their decisions, and how they acted as a team or individually. Its purpose is the acquisition of a significant learning (achieving the learning objectives) that can subsequently be applied in their daily lives. The interprofessional debriefing styles are varied, but basically its structure integrates: a reaction phase, an analysis phase and an application phase; keeping in mind that the basic standards must be maintained when carrying out a debriefing: time, the construction of a safe learning space, identification, and the closure of knowledge gaps. The advantages of performing an interprofessional debriefing goes beyond the objectives of the simulation, since it favors the acquisition of effective communication skills, teamwork, leadership, the notion of error, etc., which can later be applied in the daily clinical practice.

scholarly journals A STELLA-Based Model to Simultaneously Predict Hydrological Processes, N Uptake and Biomass Production in a Eucalyptus Plantation

Forests ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 515
Author(s):  
Ying Ouyang ◽  
Gary Feng ◽  
Heidi Renninger ◽  
Theodor D. Leininger ◽  
Prem Parajuli ◽  
...  
Keyword(s):  
Water Use ◽  
Biomass Production ◽  
Net Primary Production ◽  
N Uptake ◽  
Hydrological Processes ◽  
Modeling Tools ◽  
Eucalyptus Plantation ◽  
Simulation Scenario ◽  
Use Efficiency ◽  
N Use

Eucalyptus is one of the fastest growing hardwoods for bioenergy production. Currently, few modeling tools exist to simultaneously estimate soil hydrological processes, nitrogen (N) uptake, and biomass production in a eucalyptus plantation. In this study, a STELLA (Structural Thinking and Experiential Learning Laboratory with Animation)-based model was developed to meet this need. After the model calibration and validation, a simulation scenario was developed to assess eucalyptus (E. grandis × urophylla) annual net primary production (ANPP), woody biomass production (WBP), water use efficiency (WUE), and N use efficiency (NUE) for a simulation period of 20 years. Simulation results showed that a typical annual variation pattern was predicted for water use, N uptake, and ANPP, increasing from spring to fall and decreasing from fall to the following winter. Overall, the average NUE during the growth stage was 700 kg/kg. To produce 1000 kg eucalyptus biomass, it required 114.84 m3 of water and 0.92 kg of N. This study suggests that the STELLA-based model is a useful tool to estimate ANPP, WBP, WUE, and NUE in a eucalyptus plantation.

scholarly journals Development of a porcine model of emergency resternotomy at a low-volume cardiac surgery centre

2020 ◽  
Vol 31 (6) ◽  
pp. 803-805
Author(s):  
Timothy M Guenther ◽  
Sarah A Chen ◽  
Joshua D Gustafson ◽  
Curtis J Wozniak ◽  
Bob Kiaii
Keyword(s):  
Intensive Care Unit ◽  
Cardiac Surgery ◽  
Porcine Model ◽  
Comfort Level ◽  
Large Animal Model ◽  
Large Animal ◽  
Training Environment ◽  
Life Saving ◽  
Simulation Scenario ◽  
Low Volume

Abstract Emergency resternotomy in the intensive care unit (ICU) is a rarely performed, yet potentially life-saving intervention. Success relies on recognition of a deteriorating clinical condition, timely deployment of equipment/personnel and rapid execution. Given how infrequently it is performed, we sought to develop a large animal model of resternotomy to prepare ICU nurses and technicians at our low-volume cardiac surgery military centre. A porcine model of resternotomy was developed at the end of an already-scheduled trauma lab. Participants worked their way through a pre-planned simulation scenario, culminating in the need for resternotomy. Pre-simulation surveys assessing knowledge and comfort level with aspects of resternotomy were compared to post-simulation surveys. Participants improved their knowledge of resternotomy by 20.4% (P < 0.0001; 14.7% for nurses and 26.9% for technicians). Improvements were seen in all aspects assessed relating to subjective comfort/preparedness of resternotomy. The model was an effective and realistic method to augment training of ICU staff about resternotomy. Costs associated with this model can be reduced when used in conjunction with large animal labs. This model should be used together with mannequin-based methods of resternotomy training to provide a realistic training environment and assessment of skills at capable institutions.

scholarly journals Sustainable Virtual Reality Patient Rehabilitation Systems with IoT Sensors Using Virtual Smart Cities

2021 ◽  
Vol 13 (9) ◽  
pp. 4716
Author(s):  
Moustafa M. Nasralla
Keyword(s):  
Machine Learning ◽  
Time Series ◽  
Virtual Reality ◽  
Time Series Analysis ◽  
Smart City ◽  
Smart Cities ◽  
Rehabilitation Services ◽  
Simulation Scenario ◽  
Common Problems ◽  
Iot Devices

To develop sustainable rehabilitation systems, these should consider common problems on IoT devices such as low battery, connection issues and hardware damages. These should be able to rapidly detect any kind of problem incorporating the capacity of warning users about failures without interrupting rehabilitation services. A novel methodology is presented to guide the design and development of sustainable rehabilitation systems focusing on communication and networking among IoT devices in rehabilitation systems with virtual smart cities by using time series analysis for identifying malfunctioning IoT devices. This work is illustrated in a realistic rehabilitation simulation scenario in a virtual smart city using machine learning on time series for identifying and anticipating failures for supporting sustainability.

scholarly journals Traffic queue modeling using arena simulation software (a case study of Mergan 4-Way intersection in Malang City)

2018 ◽  
Vol 204 ◽  
pp. 02009 ◽  
Author(s):  
Dani Yuniawan ◽  
P.P Aang Fajar ◽  
Samsudin Hariyanto ◽  
Romi Setiawan
Keyword(s):  
Flow System ◽  
Simulation Method ◽  
Simulation Software ◽  
Verification And Validation ◽  
Scenario Simulation ◽  
Traffic Light ◽  
Simulation Scenario ◽  
Research Outcome ◽  
Arena Simulation

Currently Mergan 4-way intersection is one of intersection that have most traffic dense in Malang City, East Java - Indonesia. This research implement simulation method in order to give several solution option to manage the traffic queue in Mergan 4-way intersection. Simulation method is conducted with several phase, from problem identification up to verification and validation also scenario simulation. Arena Simulation software v.14 is chosen as the tool to modeling the traffic queue line. The research outcome give several solution through Traffic Light 2 simulation scenario. With this simulation scenario, the traffic flow system simulation can be run with fewer queues of vehicles.

Working memory is limited: improving knowledge transfer by optimising simulation through cognitive load theory

2016 ◽  
Vol 2 (4) ◽  
pp. 131-138 ◽  
Author(s):  
Michael Meguerdichian ◽  
Katie Walker ◽  
Komal Bajaj
Keyword(s):  
Working Memory ◽  
Knowledge Transfer ◽  
Cognitive Load ◽  
Curriculum Design ◽  
Cognitive Load Theory ◽  
Scenario Development ◽  
Load Theory ◽  
Healthcare Simulation ◽  
Simulation Scenario ◽  
Complex Knowledge

This analysis explores how to optimise knowledge transfer in healthcare simulation by applying cognitive load theory to curriculum design and delivery for both novice and expert learners. This is particularly relevant for interprofessional learning which is team-based, as each participant comes to the simulation experience with different levels of expertise. Healthcare simulation can offer opportunities to create complex and dynamic experiences that replicate real clinical situations. Understanding Cognitive Load Theory can foster the acquisition of complex knowledge, skills and abilities required to deliver excellence in patient care without overwhelming a learner's ability to handle new materials due to working memory limitations. The 2 aspects of working memory that will be explored in this paper are intrinsic load and extrinsic load. These will be addressed in terms of the learner's level of expertise and how to consider these elements to enhance the learning environment in simulation scenario development and delivery. By applying the concepts of Cognitive Load Theory, this paper offers educators a method to tailor their curricula to navigate working memory and optimise the opportunity for knowledge transfer.

scholarly journals Effects of Land Use Planning in PERPRES 54/2008 on River Discharges

2018 ◽  
Author(s):  
Miga Magenika Julian ◽  
Fumihiko Nishio ◽  
Poerbandono ◽  
Philip J. Ward
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
River Discharge ◽  
Balance Model ◽  
Climate Data ◽  
Spatial Simulation ◽  
Flood Prevention ◽  
Simulation Scenario ◽  
Discharge Simulation ◽  
Effects Of Land Use

In 2008, a presidential regulation number 54 (Peraturan Presiden Nomor 54 Tahun 2008 - Perpres 54/2008) that regulates uses of land for various degrees of utilization and conservation across Jakarta, Bogor, Depok, Tangerang, Bekasi, Puncak and Cianjur (Jabodetabekpuncur) was issued. Perpres 54/2008 is a reference for the implementation of development related to water and soil conservation, the availability of ground water and surface water, flood prevention, and economic development for the welfare of the community. This study was intended to investigate the effects of land use planning in Perpres 54/2008 on river discharges based on spatial simulation of the Ciliwung and Cisadane watersheds. Three evaluation points for each watershed were investigated: downstream, middle and upper watersheds. Here, we simulated the river discharge at 100m×100m resolution with land use data in year 2007. A calibrated spatial water balance model named Spatial Tools for River Basins and Environment and Analysis of Management Option (STREAM) was used for river discharge simulation. The inputs of this model were climate data (precipitation and temperature), land use and topography. Two scenarios of land use were used, the actual land use condition (i.e. year 2007) and planned land use according to Perpres 54/2008. Based on Perpres 54/2008 simulation scenario, if land use planned in Perpres 54/2008 have successfully implemented, it can reduces river discharge by 0.1% to 5.6%.

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