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arXiv 2018年

作者： Cetinkaya, Ahmet Kikuchi, Kaito Hayakawa, Tomohisa Ishii, Hideaki Information Systems Architecture Science Research Division National Institute of Informatics Tokyo101-8430 Japan Department of Systems and Control Engineering Tokyo Institute of Technology Tokyo152-8552 Japan Department of Computer Science Tokyo Institute of Technology Yokohama226-8502 Japan

Multi-agent consensus under jamming attacks is investigated. Specifically, inter-agent communications over a network are assumed to fail at certain times due to jamming of transmissions by a malicious attacker. A new stochastic communication protocol is proposed to achieve finite-time practical consensus between agents. In this protocol, communication attempt times of agents are randomized and unknown by the attacker until after the agents make their communication attempts. Through a probabilistic analysis, we show that the proposed communication protocol, when combined with a stochastic ternary control law, allows agents to achieve consensus regardless of the frequency of attacks. We demonstrate the efficacy of our results by considering two different strategies of the jamming attacker: a deterministic attack strategy and a more malicious communication-aware attack strategy. Copyright © 2018, The Authors. All rights reserved.

关键词： Jamming

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Deep learning based video system for accurate and real-time parking measurement

arXiv

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arXiv 2019年

作者： Cai, Bill Yang Alvarez, Ricardo Sit, Michelle Duarte, Fábio Ratti, Carlo Senseable City Lab Massachusetts Institute of Technology 77 Massachusetts Avenue CambridgeMA02139 United States Center for Computational Engineering Massachusetts Institute of Technology 77 Massachusetts Avenue CambridgeMA02139 United States School of Architecture and Design Pontifical Catholic University of Paraná R. Imac. ConceiÃgÃ čo 1155 - Prado Velho Curitiba - PR80215-901 Brazil Department of Computer Science and Engineering University of California San Diego 9500 Gilman Drive La JollaCA92093 United States

Parking spaces are costly to build, parking payments are difficult to enforce, and drivers waste an excessive amount of time searching for empty lots. Accurate quantification would inform developers and municipalities in space allocation and design, while real-time measurements would provide drivers and parking enforcement with information that saves time and resources. In this paper, we propose an accurate and real-time video system for future Internet of Things (IoT) and smart cities applications. Using recent developments in deep convolutional neural networks (DCNNs) and a novel vehicle tracking filter, we combine information across multiple image frames in a video sequence to remove noise introduced by occlusions and detection failures. We demonstrate that our system achieves higher accuracy than pure image-based instance segmentation, and is comparable in performance to industry benchmark systems that utilize more expensive sensors such as radar. Furthermore, our system shows significant potential in its scalability to a city-wide scale and also in the richness of its output that goes beyond traditional binary occupancy statistics. Copyright © 2019, The Authors. All rights reserved.

关键词： Internet of things

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Measurement of the inclusive cross sections for W and Z boson production in proton-proton collisions at = 5.02 and 13 TeV

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Journal of High Energy Physics 2025年第4期2025卷 1-52页

作者： Hayrapetyan, A. Tumasyan, A. Adam, W. Andrejkovic, J. W. Bergauer, T. Chatterjee, S. Damanakis, K. Dragicevic, M. Hussain, P. S. Jeitler, M. Krammer, N. Li, A. Liko, D. Mikulec, I. Schieck, J. Schöfbeck, R. Schwarz, D. Sonawane, M. Templ, S. Waltenberger, W. Wulz, C.-E. Darwish, M. R. Janssen, T. Van Mechelen, P. Bols, E. S. D’Hondt, J. Dansana, S. De Moor, A. Delcourt, M. Lowette, S. Makarenko, I. Müller, D. Tavernier, S. Tytgat, M. Van Onsem, G. P. Van Putte, S. Vannerom, D. Clerbaux, B. Das, A. K. De Lentdecker, G. Evard, H. Favart, L. Gianneios, P. Hohov, D. Jaramillo, J. Khalilzadeh, A. Khan, F. A. Lee, K. Mahdavikhorrami, M. Malara, A. Paredes, S. Thomas, L. Vanden Bemden, M. Vander Velde, C. Vanlaer, P. De Coen, M. Dobur, D. Hong, Y. Knolle, J. Lambrecht, L. Mestdach, G. Mota Amarilo, K. Rendón, C. Samalan, A. Skovpen, K. Van Den Bossche, N. van der Linden, J. Wezenbeek, L. Benecke, A. Bethani, A. Bruno, G. Caputo, C. Delaere, C. Donertas, I. S. Giammanco, A. Jain, Sa. Lemaitre, V. Lidrych, J. Mastrapasqua, P. Tran, T. T. Wertz, S. Alves, G. A. Coelho, E. Hensel, C. Menezes De Oliveira, T. Moraes, A. Rebello Teles, P. Soeiro, M. Aldá Júnior, W. L. Alves Gallo Pereira, M. Barroso Ferreira Filho, M. Brandao Malbouisson, H. Carvalho, W. Chinellato, J. Da Costa, E. M. Da Silveira, G. G. De Jesus Damiao, D. Fonseca De Souza, S. Gomes De Souza, R. Martins, J. Mora Herrera, C. Mundim, L. Nogima, H. Pinheiro, J. P. Santoro, A. Sznajder, A. Thiel, M. Vilela Pereira, A. Bernardes, C. A. Calligaris, L. Fernandez Perez Tomei, T. R. Gregores, E. M. Mercadante, P. G. Novaes, S. F. Orzari, B. Padula, Sandra S. Aleksandrov, A. Antchev, G. Hadjiiska, R. Iaydjiev, P. Misheva, M. Shopova, M. Sultanov, G. Dimitrov, A. Litov, L. Pavlov, B. Petkov, P. Petrov, A. Shumka, E. Keshri, S. Thakur, S. Cheng, T. Javaid, T. Yuan, L. Hu, Z. Liu, J. Yi, K. Chen, G. M. Chen, H. S. Chen, M. Iemmi, F. Jiang, C. H. Kapoor, A. Liao, H. Liu, Z.-A. Sharma, R. Song, J. N. Tao, J. Wang, C. Wang, J. Wang, Z. Zhang, H. Agapitos, A. Ban, Y. Levin, A. Yerevan Physics Institute Yerevan Armenia Yerevan State University Yerevan Armenia Institut für Hochenergiephysik Vienna Austria TU Wien Vienna Austria Universiteit Antwerpen Antwerpen Belgium Institute of Basic and Applied Sciences Faculty of Engineering Arab Academy for Science Technology and Maritime Transport Alexandria Egypt Vrije Universiteit Brussel Brussel Belgium Ghent University Ghent Belgium Université Libre de Bruxelles Bruxelles Belgium Université Catholique de Louvain Louvain-la-Neuve Belgium Centro Brasileiro de Pesquisas Fisicas Rio de Janeiro Brazil Universidade do Estado do Rio de Janeiro Rio de Janeiro Brazil Universidade Estadual de Campinas Campinas Brazil Federal University of Rio Grande do Sul Porto Alegre Brazil UFMS Nova Andradina Brazil Universidade Estadual PaulistaUniversidade Federal do ABC São Paulo Brazil Institute for Nuclear Research and Nuclear Energy Bulgarian Academy of Sciences Sofia Bulgaria University of Sofia Sofia Bulgaria Instituto De Alta Investigación Universidad de Tarapacá Arica Chile Beihang University Beijing China Department of Physics Tsinghua University Beijing China Nanjing Normal University Nanjing China The University of Iowa Iowa City Iowa USA Institute of High Energy Physics Beijing China University of Chinese Academy of Sciences Beijing China China Center of Advanced Science and Technology Beijing China China Spallation Neutron Source Guangdong China State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China Sun Yat-Sen University Guangzhou China University of Science and Technology of China Hefei China Henan Normal University Xinxiang China Institute of Modern Physics and Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) - Fudan University Shanghai China Zhejiang University Hangzhou China Universidad de Los Andes Bogota Colombia Universidad de Antioquia Medellin Colombia University of Split Faculty of Electrical Engineering Mechanical

Measurements of fiducial and total inclusive cross sections for W and Z boson production are presented in proton-proton collisions at $$ \sqrt{s} $$ = 5.02 and 13 TeV. Electron and muon decay modes (ℓ = e or μ) are studied in the data collected with the CMS detector in 2017, in dedicated runs with reduced instantaneous luminosity. The data sets correspond to integrated luminosities of 298 ± 6 pb−1 at 5.02 TeV and 206 ± 5 pb−1 at 13 TeV. Measured values of the products of the total inclusive cross sections and the branching fractions at 5.02 TeV are σ(pp → W + X) $$ \mathcal{B} $$ (W → ℓν) = 7300 ± 10 (stat) ± 60 (syst) ± 140 (lumi) pb, and σ(pp → Z+X) $$ \mathcal{B} $$ (Z → ℓ+ℓ−) = 669 ± 2 (stat) ± 6 (syst) ± 13 (lumi) pb for the dilepton invariant mass in the range of 60–120 GeV. The corresponding results at 13 TeV are 20480 ± 10 (stat) ± 170 (syst) ± 470 (lumi) pb and 1952 ± 4 (stat) ± 18 (syst) ± 45 (lumi) pb. The measured values agree with cross section calculations at next-to-next-to-leading-order in perturbative quantum chromodynamics. Fiducial and total inclusive cross sections, ratios of cross sections of W+ and W− production as well as inclusive W and Z boson production, and ratios of these measurements at 5.02 and 13 TeV are reported.

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A New Robust Controller Formulation for the Full–State Feedback Position Tracking of a Small–Scaled Unmanned Model Helicopter

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IFAC-PapersOnLine 2017年第1期50卷 4819-4824页

作者： Bidikli B. Tatlicioglu E. Zergeroglu E. Department of Mechatronics Engineering Faculty of Engineering and Architecture Izmir Katip Celebi University Izmir Turkey Department of Electrical & Electronic Engineering Izmir Institute of Technology Izmir Turkey Department of Computer Engineering Gebze Technical University Kocaeli Turkey

This work focuses on the robust attitude tracking control problem for a small– scaled unmanned helicopter where the actual system inputs, namely the elevator servo input, the aileron servo input and the rudder servo input, are used in the controller formulation. The design process is divided into two parts. Initially the problem is transformed into a second order system with an uncertain non–symmetric input gain matrix by utilizing some reasonable simplifications for the rotor model under the hovering flight conditions. Then a novel robust control methodology is utilized via a matrix decomposition method. The stability of the overall system is ensured by Lyapunov type analysis where asymptotic position tracking is ensured. Numerical simulation results are presented to demonstrate the efficiency of the proposed method. © 2017

关键词： Nonlinear systems Robust control Small–scaled Unmanned Model Helicopter

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On buildings that compute. A proposal

arXiv

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arXiv 2018年

作者： Adamatzky, Andrew Szacilowski, Konrad Przyczyna, Dawid Konkoli, Zoran Sirakoulis, Georgios C. Werner, Liss C. Unconventional Computing Laboratory UWE Bristol United Kingdom AGH University of Science and Technology Academic Centre for Materials and Nanotechnology Kraków Poland AGH University of Science and Technology Faculty of Physics and Applied Computer Science Kraków Poland Chalmers University of Technology Department of Microtechnology and Nanoscience Göthenburg Sweden Department of Electrical and Computer Engineering Democritus University of Thrace Xanthi Greece Institute of Architecture Technical University of Berlin Germany

We present ideas aimed at bringing revolutionary changes on architectures and buildings of tomorrow by radically advancing the technology for the building material concrete and hence building components. We propose that by using nanotechnology we could embed computation and sensing directly into the material used for construction. Intelligent concrete blocks and panels advanced with stimuli-responsive smart paints are the core of the proposed architecture. In particular, the photo-responsive paint would sense the buildings internal and external environment while the nano-materialconcrete composite material would be capable of sensing the building environment and implement massive-parallel information processing resulting in distributed decision making. A calibration of the proposed materials with in-materio suitable computational methods and corresponding building in-formation modelling, computer-aided design and digital manufacturing tools could be achieved via models and prototypes of information processing at nano-level. The emergent technology sees a building as high-level massiveparallel computer - assembled of computing concrete blocks. Based on the generic principles of neuromorphic computation and reservoir computing we envisage a single building or an urban quarter to turn into a large-scale sensing substrate. It could behave as a universal computer, collecting and processing environmental information in situ enabling appropriate data fusion. The broad range of spatio-temporal effects include infrastructural and human mobility, energy, bio-diversity, digital activity, urban management, art and socializing, robustness with regard to damage and noise or real-time monitoring of environmental changes. The proposed intelligent architectures will increase sustainability and viability in digitised urban environments by decreasing information transfer bandwidth by e.g, utilising 5G networks. The emergence of socio-cultural effect will create a cybernetic relationsh

关键词： Decision making

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Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2019年 11465 LNBI卷 v-xi页

作者： Rojas, Ignacio Valenzuela, Olga Rojas, Fernando Ortuño, Francisco Department of Computer Architecture and Computer Technology Higher Technical School of Information Technology and Telecommunications Engineering CITIC-UGR Granada Spain ETSIIT University of Granada Granada Spain CITIC-UGR University of Granada Granada Spain Fundacion Progreso y Salud Granada Spain University of Chicago ChicagoIL United States

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Cache-Oblivious MPI All-to-All Communications on Many-Core architectures

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ACM SIGPLAN Notices 2017年第8期52卷 445-446页

作者： Li, Shigang Zhang, Yunquan Hoefler, Torsten SKL Computer Architecture Institute of Computing Technology Chinese Academy of Sciences China Department of Computer Science ETH Zurich Switzerland

In the many-core era, the performance of MPI collectives is more dependent on the intra-node communication component. However, the communication algorithms generally inherit from the inter-node version and ignore the cache complexity. We propose cache-oblivious algorithms for MPI all-to-all operations, in which data blocks are copied into the receive buffers in Morton order to exploit data locality. Experimental results on different many-core architectures show that our cache-oblivious implementations significantly outperform the naive implementations based on shared heap and the highly optimized MPI libraries. © 2017 ACM.

关键词： Cache memory

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Computational representation for a simulation scenario definition language

Computational representation for a simulation scenario defin...

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AIAA Modeling and Simulation Technologies Conference, 2018

作者： Durak, Umut Jafer, Shafagh Wittman, Rob Mittal, Saurabh Hartmann, Sven Zeigler, Bernard P. Institute of Flight Systems Braunschweig38108 Germany Embry-Riddle Aeronautical University Daytona BeachFL32114-3900 United States The MITRE Corporation McLean VA22102 United States Clausthal University of Technology Clausthal-Zellerfeld38678 Germany RTSync Corp. and Arizona Center for Integrated M&S TucsonAZ85621 United States Flight Dynamics and Simulation Department of Electrical Computer Software and Systems Engineering Department Head Simulation Experimentation and Gaming Architecture Analytics Department Department of Informatics Department of Electrical and Computing Engineering

ISBN: (数字)9781624105289

ISBN: (纸本)9781624105289

The modeling and simulation community in aviation is in search of standardization in simulation scenario definition. While the System Entity Structure (SES) ontology promises an effective formal means of domain modeling, computational representation is still a key challenge to tackle for fostering wide-acceptance and standardization. This paper presents an eXtended Markup Language (XML) based approach. It first gives the relational specification and the schema definition of the SES ontology. Following a layered modeling workflow, it then presents a schema definition for the simulation scenario definition language and exemplifies its utilization. © 2018, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Standardization

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Erratum to: Search for resonant and nonresonant production of pairs of dijet resonances in proton-proton collisions at = 13 TeV

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Journal of High Energy Physics 2025年第5期2025卷 1-23页

作者： Tumasyan, A. Adam, W. Andrejkovic, J. W. Bergauer, T. Chatterjee, S. Damanakis, K. Dragicevic, M. Escalante Del Valle, A. Hussain, P. S. Jeitler, M. Krammer, N. Lechner, L. Liko, D. Mikulec, I. Paulitsch, P. Pitters, F. M. Schieck, J. Schöfbeck, R. Schwarz, D. Templ, S. Waltenberger, W. Wulz, C.-E. Darwish, M. R. Janssen, T. Kello, T. Rejeb Sfar, H. Van Mechelen, P. Bols, E. S. D’Hondt, J. De Moor, A. Delcourt, M. El Faham, H. Lowette, S. Moortgat, S. Morton, A. Müller, D. Sahasransu, A. R. Tavernier, S. Van Doninck, W. Vannerom, D. Clerbaux, B. De Lentdecker, G. Favart, L. Jaramillo, J. Lee, K. Mahdavikhorrami, M. Makarenko, I. Malara, A. Paredes, S. Pétré, L. Postiau, N. Starling, E. Thomas, L. Vanden Bemden, M. Vander Velde, C. Vanlaer, P. Dobur, D. Knolle, J. Lambrecht, L. Mestdach, G. Niedziela, M. Rendón, C. Roskas, C. Samalan, A. Skovpen, K. Tytgat, M. Van Den Bossche, N. Vermassen, B. Wezenbeek, L. Benecke, A. Bethani, A. Bruno, G. Bury, F. Caputo, C. David, P. Delaere, C. Donertas, I. S. Giammanco, A. Jaffel, K. Jain, Sa. Lemaitre, V. Mondal, K. Prisciandaro, J. Taliercio, A. Tran, T. T. Vischia, P. Wertz, S. Alves, G. A. Coelho, E. Hensel, C. Moraes, A. Rebello Teles, P. Aldá Júnior, W. L. Alves Gallo Pereira, M. Barroso Ferreira Filho, M. Brandao Malbouisson, H. Carvalho, W. Chinellato, J. Da Costa, E. M. Da Silveira, G. G. De Jesus Damiao, D. Dos Santos Sousa, V. Fonseca De Souza, S. Martins, J. Mora Herrera, C. Mota Amarilo, K. Mundim, L. Nogima, H. Santoro, A. Silva Do Amaral, S. M. Sznajder, A. Thiel, M. Torres Da Silva De Araujo, F. Vilela Pereira, A. Bernardes, C. A. Calligaris, L. Fernandez Perez Tomei, T. R. Gregores, E. M. Mercadante, P. G. Novaes, S. F. Padula, Sandra S. Aleksandrov, A. Antchev, G. Hadjiiska, R. Iaydjiev, P. Misheva, M. Rodozov, M. Shopova, M. Sultanov, G. Dimitrov, A. Ivanov, T. Litov, L. Pavlov, B. Petkov, P. Petrov, A. Shumka, E. Cheng, T. Javaid, T. Mittal, M. Yuan, L. Ahmad, M. Bauer, G. Hu, Z. Lezki, S. Yi, K. Chen, G. M. Chen, H. S. Chen, M. Iemmi, F. Jiang, C. H. Kapo Yerevan Physics Institute Yerevan Armenia Yerevan State University Yerevan Armenia Institut für Hochenergiephysik Vienna Austria TU Wien Vienna Austria Universiteit Antwerpen Antwerpen Belgium Institute of Basic and Applied Sciences Faculty of Engineering Arab Academy for Science Technology and Maritime Transport Alexandria Egypt Université Libre de Bruxelles Bruxelles Belgium Vrije Universiteit Brussel Brussel Belgium Ghent University Ghent Belgium Université Catholique de Louvain Louvain-la-Neuve Belgium Centro Brasileiro de Pesquisas Fisicas Rio de Janeiro Brazil Universidade do Estado do Rio de Janeiro Rio de Janeiro Brazil Universidade Estadual de Campinas Campinas Brazil Federal University of Rio Grande do Sul Porto Alegre Brazil UFMS Nova Andradina Brazil The University of the State of Amazonas Manaus Brazil Universidade Estadual Paulista Universidade Federal do ABC São Paulo Brazil Institute for Nuclear Research and Nuclear Energy Bulgarian Academy of Sciences Sofia Bulgaria University of Sofia Sofia Bulgaria Beihang University Beijing China University of Chinese Academy of Sciences Beijing China Department of Physics Tsinghua University Beijing China Nanjing Normal University Department of Physics Nanjing China The University of Iowa Iowa City USA Institute of High Energy Physics Beijing China State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China Sun Yat-Sen University Guangzhou China Institute of Modern Physics and Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) - Fudan University Shanghai China Zhejiang University Hangzhou China Universidad de Los Andes Bogota Colombia Universidad de Antioquia Medellin Colombia University of Split Faculty of Electrical Engineering Mechanical Engineering and Naval Architecture Split Croatia University of Split Faculty of Science Split Croatia Institute Rudjer Boskovic Zagreb Croatia University of Cyprus Nicosia Cyprus Charles University Prag

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Teaching in the Age of Covid-19—1 Year Later

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Postdigital Science and Education 2021年第3期3卷 1073-1223页

作者： Jandrić, Petar Hayes, David Levinson, Paul Christensen, Line Lisberg Lukoko, Happiness Onesmo Kihwele, Jimmy Ezekiel Brown, James Benedict Reitz, Charles Mozelius, Peter Nejad, Harry G. Martinez, Ana Fuentes Arantes, Janine Aldous Jackson, Liz Gustafsson, Ulrika Abegglen, Sandra Burns, Tom Sinfield, Sandra Hogan, Michael Kishore, Pallavi Carr, Paul R. Batarelo Kokić, Ivana Prinsloo, Paul Grauslund, Dennis Steketee, Anne Achieng-Evensen, Charlotte Komolafe, Blessing Funmi Suoranta, Juha Hood, Nina Tesar, Marek Rose, Jennifer Humble, Niklas Kirylo, James D. Mañero, Julia Monzó, Lilia D. Lodahl, Mikkel Jaldemark, Jimmy Bridges, Susan M. Sharma, Navreeti Davidsen, Jacob Ozoliņš, Jānis (John) Bryant, Peter Escaño, Carlos Irwin, Jones Kaur, Kulpreet Pfohl, Sarah Stockbridge, Kevin Ryberg, Thomas Pyyhtinen, Olli SooHoo, Suzanne Hazzan, Moses Kayode Wright, Jake Hollings, Stephanie Arndt, Sonja Gibbons, Andrew Urvashi, Shreya Forster, Daniella J. Truelove, Ian Mayo, Peter Rikowski, Glenn Stewart, Paul Alexander Jopling, Michael Stewart, Georgina Tuari Buchanan, Rachel Devine, Nesta Shukla, Richa Novak, Rene Mallya, Madhav Biličić, Eva Sturm, Sean Sattarzadeh, Sahar D. Philip, Abey P. Redder, Bridgette White, E. Jayne Ford, Derek R. Allen, Quaylan Mukherjee, Mousumi Hayes, Sarah Zagreb University of Applied Sciences Zagreb Croatia University of Wolverhampton Wolverhampton UK Further Education Worcester UK Fordham University New York City USA Department of Communication and Psychology Aalborg University Aalborg Denmark Institute of Development Studies University of Dar es Salaam Dar es Salaam Tanzania Department of Education Mzumbe University Morogoro Tanzania Umeå School of Architecture Umeå University Umeå Sweden Kansas City Kansas Community College Kansas City USA Department of Computer and System Science (DSV) Mid Sweden University Östersund/Stockholm Sweden Jindal Institute of Behavioural Sciences O. P. Jindal Global University Haryana India Katedralskolan (Lund)/University West Trollhättan Sweden Victoria University Melbourne Australia Education University of Hong Kong Hong Kong China Department of Applied Educational Science Umeå University Umeå Sweden School of Architecture Planning and Landscape University of Calgary Calgary Canada Centre for Professional and Educational Development London Metropolitan University London UK School of Psychology National University of Ireland Galway Galway Ireland Jindal Global Law School O.P. Jindal Global University Sonipat India Département des sciences d l’éducation Université du Québec en Outaouais Gatineau Canada Department of Pedagogy Faculty of Humanities and Social Sciences University of Split Split Croatia University of South Africa Pretoria South Africa University College of Northern Denmark (UCN) Aalborg Denmark School of Education Millikin University Decatur Il USA Attallah College of Educational Studies Chapman University Orange USA Science Education Department Adekunle Ajasin University Ondo Nigeria Curriculum and Pedagogy College of Teacher Education Zhejiang Normal University Jinhua China Faculty of Social Sciences Tampere University Tampere Finland Faculty of Education University of Auckland Auckland New Zealand School of Social Science Education and

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