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Redondo Verdú, C., Sempere Maciá, N., Strand, M., Holm, M., Schmidt, B. & Olsson, J. (2023). Enhancing Manual Assembly Training using Mixed Reality and Virtual Sensors. Paper presented at 17th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '23, Gulf of Naples, Italy, 12 - 14 July 2023. Procedia CIRP
Open this publication in new window or tab >>Enhancing Manual Assembly Training using Mixed Reality and Virtual Sensors
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2023 (English)In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271Article in journal (Refereed) In press
Abstract [en]

In recent years Mixed Reality technology has been widely used to enhance operators in manual assembly operations. This paper introduces a Mixed Reality environment for assembly operations and describes how the process can be supported by virtual sensors. The structure of the environment allows seamless adaption from a fully virtual training scenario, only using virtual assets, to a full production scenario supporting operators in assembling physical products in actual production. The training system which has been developed together with the company Skandia Elevator in Sweden enables the operators to train with much less disturbance to the real production line compared to training using the actual production equipment. In fact, the training can be done only using virtual assets.

Place, publisher, year, edition, pages
Elsevier, 2023
Keywords
augmented reality, mixed reality, manual assembly, operator training
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
INF201 Virtual Production Development; Virtual Production Development (VPD); VF-KDO
Identifiers
urn:nbn:se:his:diva-23452 (URN)
Conference
17th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '23, Gulf of Naples, Italy, 12 - 14 July 2023
Projects
ACCURATE
Note

CC BY-NC-ND 4.0 DEED

Corresponding author. Tel.: +46-500-448551; E-mail address: magnus.holm@his.se

Available from: 2023-12-11 Created: 2023-12-11 Last updated: 2023-12-27
Holm, M. & Strand, M. (2023). Möta studenterna mitt i yrkeslivet. In: Joel Midemalm; Amir Vadiee; Elisabeth Uhlemann; Fredrik Georgsson; Gunilla Carlsson-Kvarnlöf; Jonas Månsson; Kristina Edström; Lennart Pettersson; Pedher Johansson (Ed.), Bidrag från den 9:e utvecklingskonferensen för Sveriges ingenjörsutbildningar: . Paper presented at 9:e utvecklingskonferensen för Sveriges ingenjörsutbildningar, 22-23 november 2023, Mälardalens universitet, Västerås (pp. 136-149). Västerås: Mälardalens universitet
Open this publication in new window or tab >>Möta studenterna mitt i yrkeslivet
2023 (Swedish)In: Bidrag från den 9:e utvecklingskonferensen för Sveriges ingenjörsutbildningar / [ed] Joel Midemalm; Amir Vadiee; Elisabeth Uhlemann; Fredrik Georgsson; Gunilla Carlsson-Kvarnlöf; Jonas Månsson; Kristina Edström; Lennart Pettersson; Pedher Johansson, Västerås: Mälardalens universitet, 2023, p. 136-149Conference paper, Published paper (Refereed)
Abstract [sv]

Dagens situation, med mycket snabb teknisk utveckling samt globaliserings- och hållbarhetsfrågor som påtagligt påverkar vårt samhälle omkullkastar många av de tidigare sanningar som format bilden av högre utbildning i allmänhet och utbildning som är arbetsmarknadsanknuten i synnerhet. Ett gällande synsätt där yrkesliv följer kronologiskt efter en inledande utbildningsfas i unga människors liv blir allt merdaterad. Begreppet ”det livslånga lärandet” omfattar ett synsätt där utbildning ochyrkesliv verkar växelvis under ett helt arbetsliv, där individen återkommande behöverfylla på, reflektera över och därigenom få stöd att implementera ny kunskap. Det ärav stor vikt att akademin tar till sig och möjliggör för människor mitt i livet att ta del av och reflektera över ny kunskap och de möjligheter som den ger. Inte minst ärdetta viktigt inom teknikintensiva yrkesroller där påverkan från disruptiv teknisk utvecklingen är påtaglig. Med utgångspunkt i vårt arbete under 15 år riktar vi oss med denna artikel till kollegor inom det livslånga lärandet och presenterar upplägg och genomförande av onlinekurser där studenterna är mitt i yrkeslivet.

Place, publisher, year, edition, pages
Västerås: Mälardalens universitet, 2023
Keywords
Livslångt lärande, Onlinekurser
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Virtual Production Development (VPD)
Identifiers
urn:nbn:se:his:diva-23454 (URN)978-91-7485-620-0 (ISBN)
Conference
9:e utvecklingskonferensen för Sveriges ingenjörsutbildningar, 22-23 november 2023, Mälardalens universitet, Västerås
Projects
WISER
Funder
Knowledge Foundation
Available from: 2023-12-12 Created: 2023-12-12 Last updated: 2023-12-12Bibliographically approved
Thorvald, P., Holm, M., Strand, M. & Romero, D. (2023). The Augmented Welder Profile: Augmenting Craftmanship with Digital and Collaborative Tools. In: Tareq Ahram; Waldemar Karwowski (Ed.), Augmented, Virtual and Mixed Reality Simulation: Proceedings of the AHFE International Conference on Human Factors in Design, Engineering, and Computing (AHFE 2023 Hawaii Edition), Hawaii, USA, 4-6 December, 2023. Paper presented at AHFE International Conference on Human Factors in Design, Engineering, and Computing (AHFE 2023 Hawaii Edition), Hawaii, USA, 4-6 December, 2023 (pp. 9-18). New York: AHFE International Open Access
Open this publication in new window or tab >>The Augmented Welder Profile: Augmenting Craftmanship with Digital and Collaborative Tools
2023 (English)In: Augmented, Virtual and Mixed Reality Simulation: Proceedings of the AHFE International Conference on Human Factors in Design, Engineering, and Computing (AHFE 2023 Hawaii Edition), Hawaii, USA, 4-6 December, 2023 / [ed] Tareq Ahram; Waldemar Karwowski, New York: AHFE International Open Access , 2023, p. 9-18Conference paper, Published paper (Refereed)
Abstract [en]

More and more applications of Augmented Reality (AR) in manufacturing industries are introduced every day and while recent research has shown that one of the more popular applications, high volume assembly instructions, might not offer the best setting for this technology, many other applications exist that do. For assembly, remote guidance or training, rare assemblies, low takt time and high mix production, do still show promise. This article introduces the role of the Augmented Welder, a role utilizing AR technology for the programming of a welding robot. An operator support system in the form of a custom application programmed in Unity and visualized with a pair of Hololens2, connected to an ABB robot through RobotStudio. The robot is equipped with a welding gun dummy. The operator can, through the Hololens2, set safety boundaries, introduce work pieces, place targets in a 3D space, simulate the robot path, send the program to the robot, and activate the physical robot, among other things. We performed a modified pluralistic walkthrough to evaluate the operator support system both with respect to our application but also to search valuable insight to the general use of AR in the use of such applications. Results showed that while the subjects were generally positive towards the support system, several issues were identified and raised by various degrees of severity. The primary issues arose around the navigation and interaction with 2D menus and 3D objects in a 3D Mixed Reality (MR) space. The absence of physics confused the subjects as they could not interact with the virtual objects as they would have with physical objects. The lack of physics simply meant that they didn't act the same. Furthermore the interaction with 2D menus in a 3D space was both reported and observed as being very difficult as the 2D representations probably led to problems with depth perception. The general results of the debriefing indicated that using AR for robot programming was challenging although some of this can be attributed to the fact that this was the participants first use of such a system. The users indicated that the menus were appropriate and that the interaction was intuitive while the navigation within the system was not experienced as natural which confirms the above-mentioned issues with menus disappearing from the line of sight and feedback around generated target points being absent.

Place, publisher, year, edition, pages
New York: AHFE International Open Access, 2023
Series
Applied Human Factors and Ergonomics International, E-ISSN 2771-0718 ; 118
Keywords
AR, MR, Operator 4.0, welding, augmented welder, user experience, evaluation, inspection method
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; Virtual Production Development (VPD)
Identifiers
urn:nbn:se:his:diva-23457 (URN)10.54941/ahfe1004436 (DOI)978-1-958651-94-0 (ISBN)
Conference
AHFE International Conference on Human Factors in Design, Engineering, and Computing (AHFE 2023 Hawaii Edition), Hawaii, USA, 4-6 December, 2023
Note

CC BY 4.0 DEED

Thanks to Antonio, Erich, and Miguel for your participation during the AR welding system evaluation. The work was done at ASSAR IndustrialInnovation Arena in Skövde, Sweden. 

Available from: 2023-12-12 Created: 2023-12-12 Last updated: 2023-12-12
Su, Y., Backlund, P., Engström, H. & Strand, M. (2021). Data-driven Method for Mobile Game Publishing Marketing Promotion. In: Proceedings 2021 IEEE International Conference on e-Business Engineering ICEBE 2021: 12-14 November 2021 Guangzhou, China. Paper presented at 2021 IEEE International Conference on e-Business Engineering (ICEBE), 12-14 November 2021, Guangzhou, China (pp. 35-42). IEEE
Open this publication in new window or tab >>Data-driven Method for Mobile Game Publishing Marketing Promotion
2021 (English)In: Proceedings 2021 IEEE International Conference on e-Business Engineering ICEBE 2021: 12-14 November 2021 Guangzhou, China, IEEE, 2021, p. 35-42Conference paper, Published paper (Refereed)
Abstract [en]

Marketing is vital for game businesses. However, it is hard to reach the target audiences and choose the right marketing strategies for different user acquisition channels in mobile game publishing. This paper shows how business intelligence can guide independent (indie) mobile game developers to do marketing promotion based on a data-driven method. We apply and extend the ARM funnel model from social game publishing to mobile game publishing and provide a data-driven method to evaluate the marketing promotion performance. First, in order to address indie game marketing challenges, we propose a data-driven method by defining key metrics and applying two different analysis methods for assessing mobile game marketing promotion. Second, we apply our data-driven method to an indie mobile game project and guide the indie game studio to determine the potential marketing promotion issues. Third, we also provide suggestions on improving marketing performance based on analysis results, especially by differentiating between channels. Finally, we summarize how our method can be generalized and used to guide indie mobile game marketing promotion, find high-quality channels for user acquisition, improve the marketing promotion effect, and discuss future research work.

Place, publisher, year, edition, pages
IEEE, 2021
Keywords
business intelligence, indie game developer, game analytics, marketing promotion, metrics, ARM funnel model, channel.
National Category
Computer and Information Sciences
Research subject
Interaction Lab (ILAB); Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-20885 (URN)10.1109/ICEBE52470.2021.00016 (DOI)000942017800006 ()2-s2.0-85128782709 (Scopus ID)978-1-6654-4418-7 (ISBN)978-1-6654-4419-4 (ISBN)
Conference
2021 IEEE International Conference on e-Business Engineering (ICEBE), 12-14 November 2021, Guangzhou, China
Funder
Interreg Öresund-Kattegat-Skagerrak, NYPS 20201849
Note

This research was supported by University of Skövde, Sweden Game Arena and the Game Hub Scandinavia 2.0 (NYPS 20201849) project under the EU regional development fund Interreg Öresund-Kattegat-Skagerrak. 

Available from: 2022-02-02 Created: 2022-02-02 Last updated: 2023-08-23Bibliographically approved
Liu, Y., Syberfeldt, A. & Strand, M. (2020). Applying Life Cycle Assessment to Simulation-Based Decision Support: A Swedish Waste Collection Case Study. In: Rüdiger Schaldach; Karl-Heinz Simon; Jens Weismüller; Volker Wohlgemuth (Ed.), Advances and New Trends in Environmental Informatics: ICT for Sustainable Solutions: Conference proceedings. Paper presented at 33rd International Conference EnviroInfo 2019, University of Kassel, Germany, 23rd – 26th September 2019 (pp. 165-178). Cham: Springer, 1
Open this publication in new window or tab >>Applying Life Cycle Assessment to Simulation-Based Decision Support: A Swedish Waste Collection Case Study
2020 (English)In: Advances and New Trends in Environmental Informatics: ICT for Sustainable Solutions: Conference proceedings / [ed] Rüdiger Schaldach; Karl-Heinz Simon; Jens Weismüller; Volker Wohlgemuth, Cham: Springer, 2020, Vol. 1, p. 165-178Conference paper, Published paper (Refereed)
Abstract [en]

A method of integrating life cycle assessment into a simulation-based decision support system has been developed to help decision-makers take environmental impact into account during daily operations. The method was demonstrated in a real-world case study involving eight different trucks, which were selected and maintained by the case company. The trucks used different fuels, namely diesel, biodiesel, vehicle gas, and electricity. Compared to conventional diesel trucks, those using biodiesel emitted 37% less greenhouse gas (GHG) emissions. Gas trucks reduced GHG emissions by a further 40%. Overall, electric trucks have the lowest emissions. This paper also addresses the development of the methodology for this study. In particular, comparisons are made regarding the selection of different functional units and system activity mapping. Ways of achieving more accurate conclusions in future studies are discussed. 

Place, publisher, year, edition, pages
Cham: Springer, 2020
Series
Progress in IS, ISSN 2196-8705, E-ISSN 2196-8713
Keywords
Life cycle assessment, Simulation, Decision support system
National Category
Energy Systems Energy Engineering Other Environmental Engineering
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-19768 (URN)10.1007/978-3-030-30862-9_12 (DOI)000661130900009 ()978-3-030-30862-9 (ISBN)978-3-030-30861-2 (ISBN)978-3-030-30864-3 (ISBN)
Conference
33rd International Conference EnviroInfo 2019, University of Kassel, Germany, 23rd – 26th September 2019
Note

© 2020

Part of the Progress in IS book series (PROIS)

Available from: 2021-06-09 Created: 2021-06-09 Last updated: 2023-06-20Bibliographically approved
Strand, M. & Syberfeldt, A. (2020). Using external data in a BI solution to optimise waste management. Journal of Decision Systems, 29(1), 53-68
Open this publication in new window or tab >>Using external data in a BI solution to optimise waste management
2020 (English)In: Journal of Decision Systems, ISSN 1246-0125, E-ISSN 2116-7052, Vol. 29, no 1, p. 53-68Article in journal (Refereed) Published
Abstract [en]

BI solutions are constantly being developed to support decision-making at various organisational levels. These solutions facilitate the compilation, aggregation and summarisation of large volumes of data. Consequently, the business value created by these systems is increasing as they sustain more and more advanced analytics, ranging from descriptive analytics, to predictive analytics, to prescriptive analytics. However, most organisations work primarily with internal data. Despite many references in the literature to the value hidden in external data, details on how such data can be used are scarce. In this paper, we present the results of an extensive action case study at a public waste management company. The results illustrate how external data from several external data sources, integrated into an up-and-running BI solution, are used jointly to allow for descriptive and predictive analytics, as well as prescriptive analytics. In addition, details of these analytical values are given and related to organisational benefits.

Place, publisher, year, edition, pages
Taylor & Francis Group, 2020
Keywords
Business intelligence, external data, decision-support system, waste management
National Category
Production Engineering, Human Work Science and Ergonomics Information Systems
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-18334 (URN)10.1080/12460125.2020.1732174 (DOI)000517906100001 ()2-s2.0-85083907794 (Scopus ID)
Available from: 2020-03-19 Created: 2020-03-19 Last updated: 2023-06-20Bibliographically approved
Strand, M. & Syberfeldt, A. (2019). Incorporating external data into a BI solution at a public waste management organization. International Journal of Business Intelligence Research, 10(2), 36-56
Open this publication in new window or tab >>Incorporating external data into a BI solution at a public waste management organization
2019 (English)In: International Journal of Business Intelligence Research, ISSN 1947-3591, E-ISSN 1947-3605, Vol. 10, no 2, p. 36-56Article in journal (Refereed) Published
Abstract [en]

Organizations are showing an increasing interest in incorporating external data into their business intelligence solutions. Such data allows for advanced analytics and enables more comprehensive and inclusive decision-making. However, external data incorporation is relatively unexplored in the literature, and scientifically published details on up-and-running BI solutions are very sparse. In addition, published literature concerning the incorporation of external data into BI solutions is often rather synoptic or rather old (originating from data warehouse related literature). Therefore, the authors present the results of an action case study at a public waste management organization, illustrating detailed aspects of external data incorporation related to the back-end of the solution such as data selection, source characteristics, acquisition technologies and frequencies, and integration approaches. Given that the external origin of the data poses specific problems that must be overcome in order to allow for successful incorporation initiatives, special attention was paid to such problems. Copyright © 2019, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.

Place, publisher, year, edition, pages
IGI Global, 2019
Keywords
Business Intelligence, Case Study, External Data, Waste Management
National Category
Other Computer and Information Science Media Engineering Information Systems
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-17479 (URN)10.4018/IJBIR.2019070104 (DOI)2-s2.0-85068688761 (Scopus ID)
Note

EISBN13: 9781522566939

Available from: 2019-07-25 Created: 2019-07-25 Last updated: 2023-06-20Bibliographically approved
Liu, Y., Syberfeldt, A. & Strand, M. (2019). Review of simulation-based life cycle assessment in manufacturing industry. Production & Manufacturing Research, 7(1), 490-502
Open this publication in new window or tab >>Review of simulation-based life cycle assessment in manufacturing industry
2019 (English)In: Production & Manufacturing Research, ISSN 2169-3277, Vol. 7, no 1, p. 490-502Article in journal (Refereed) Published
Abstract [en]

The manufacturing industry has a duty to minimize its environmental impact, and an increasing body of legislation mandates environmental impact evaluations from a life cycle perspective to prevent burden shift. The manufacturing industry is increasing its use of computer-based simulations to optimize production processes. In recent years, several published studies have combined simulations with life cycle assessments (LCAs) to evaluate and minimize the environmental impact of production activities. Still, current knowledge of simulations conducted for LCAs is rather disjointed. This paper accordingly reviews the literature covering simulation-based LCAs of production processes. The results of the review and cross-comparison of papers are structured in terms of seven elements in line with the ISO standard definition of LCA and report the strengths and limitations of the reviewed studies. © 2019, © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Place, publisher, year, edition, pages
Taylor & Francis, 2019
Keywords
environmental impact, life cycle assessment, manufacturing, Simulation
National Category
Production Engineering, Human Work Science and Ergonomics Other Environmental Engineering Environmental Sciences Environmental Management
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-17825 (URN)10.1080/21693277.2019.1669505 (DOI)000487233300001 ()2-s2.0-85073234963 (Scopus ID)
Available from: 2019-10-28 Created: 2019-10-28 Last updated: 2023-06-20Bibliographically approved
Su, Y., Backlund, P., Engström, H. & Strand, M. (2019). The Fish Tank Model for Mobile Game Publishing Business Performance Evaluation. In: A. Siarheyeva; C. Barry; M. Lang; H. Linger; C. Schneider (Ed.), Information Systems Development: Information Systems Beyond 2020: ISD2019 Proceedings. Paper presented at The 28th International Conference on Information Systems Development (ISD2019), Toulon, France, August 28-30, 2019. Toulon, France: ISEN Yncréa Méditerranée
Open this publication in new window or tab >>The Fish Tank Model for Mobile Game Publishing Business Performance Evaluation
2019 (English)In: Information Systems Development: Information Systems Beyond 2020: ISD2019 Proceedings / [ed] A. Siarheyeva; C. Barry; M. Lang; H. Linger; C. Schneider, Toulon, France: ISEN Yncréa Méditerranée , 2019Conference paper, Published paper (Refereed)
Abstract [en]

Business intelligence has been applied in the area of game development research for many years. However, few systematic research efforts are focusing on the game publishing side, especially for the mobile game publishing business. We aim to identify and remedy the shortcomings of the existing ARM funnel model for free-to-play mobile game analytics by introducing a new model, the Fish Tank Model, which combines the analysis of players’ behavior with in-game system data to drive the whole process of mobile game publishing. Based on the new model, we also bring and create relevant metrics for effectively measuring the business performance of mobile game publishing. Our main contributions are a survey of business intelligence used in game research and an analysis to reveal the insufficiency of an existing model for game publishing. Finally, we discuss business requirements for mobile game publishing and propose a brand-new model which better suits the free-to-play mobile game publishing business performance evaluation.

Place, publisher, year, edition, pages
Toulon, France: ISEN Yncréa Méditerranée, 2019
Keywords
Business Intelligence, Game Analytics, Game Publishing, Game Metrics, Model-driven.
National Category
Other Computer and Information Science
Research subject
Interaction Lab (ILAB); Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-17729 (URN)2-s2.0-85091282781 (Scopus ID)978-2-9571876-0-7 (ISBN)
Conference
The 28th International Conference on Information Systems Development (ISD2019), Toulon, France, August 28-30, 2019
Available from: 2019-09-27 Created: 2019-09-27 Last updated: 2023-06-20Bibliographically approved
Liu, Y., Syberfeldt, A. & Strand, M. (2018). A Review of Simulation Based Life Cycle Assessment in Manufacturing Industry. In: Peter Thorvald, Keith Case (Ed.), Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11 – 13, 2018, Skövde, Sweden. Paper presented at 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11 – 13, 2018, Skövde, Sweden (pp. 381-386). Amsterdam, Berlin, Washington,DC: IOS Press, 8
Open this publication in new window or tab >>A Review of Simulation Based Life Cycle Assessment in Manufacturing Industry
2018 (English)In: Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11 – 13, 2018, Skövde, Sweden / [ed] Peter Thorvald, Keith Case, Amsterdam, Berlin, Washington,DC: IOS Press, 2018, Vol. 8, p. 381-386Conference paper, Published paper (Refereed)
Abstract [en]

The manufacturing industry has a duty to minimize their environmental impact and more and more legislations include environmental impact evaluations from a life cycle perspective to avoid burden shift. Current manufacturing industry increase their use of computer-based simulations for optimizing production processes. In recent years, a number of studies have been published, combining simulations with life cycle assessments (LCA), to evaluate and minimize the environmental impact of production activities, as part of improving the production processes. Still, current knowledge concerning simulations for LCA is rather scattered. Therefore, this paper reviews relevant literature covering simulation based LCA for production development. The results of the review and cross comparison of papers are structured following the 6 categories in line with the ISO standard definition of LCA (goal formulation, scope definition, environmental impact assessment, data quality, level of modelling details, and model validation) and report the strengths and constraints of the reviewed studies. 

Place, publisher, year, edition, pages
Amsterdam, Berlin, Washington,DC: IOS Press, 2018
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 8
Keywords
life cycle assessment, production process, simulation
National Category
Engineering and Technology Production Engineering, Human Work Science and Ergonomics Environmental Analysis and Construction Information Technology
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-16342 (URN)10.3233/978-1-61499-902-7-381 (DOI)000462212700061 ()2-s2.0-85057394386 (Scopus ID)978-1-61499-901-0 (ISBN)978-1-61499-902-7 (ISBN)
Conference
16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11 – 13, 2018, Skövde, Sweden
Available from: 2018-10-26 Created: 2018-10-26 Last updated: 2023-06-20Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-8619-3776

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