Academic literature on the topic 'Dynamic influence model'
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Journal articles on the topic "Dynamic influence model"
Mindila, Agnes, Anthony Rodrigues, Dorothy McCormick, and Ronald Mwangi. "ICT Powered Strategic Flexibility System Dynamic Model." International Journal of System Dynamics Applications 3, no. 1 (January 2014): 90–110. http://dx.doi.org/10.4018/ijsda.2014010105.
Full textChen, Tian Li, Jing Zeng, Yao Hui Lu, and Li Min Zhang. "Vibration Transfer Analysis of High Speed Train Considering Car body Flexibility." Advanced Materials Research 605-607 (December 2012): 1168–71. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.1168.
Full textNi, Hong, Li Xing Sun, and Zhi Xuan Zhang. "The Computational Multi-Body Dynamics for Motorcycle on its Oscillation Properties." Applied Mechanics and Materials 373-375 (August 2013): 76–83. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.76.
Full textLiu, Zhipeng, Dechang Pi, and Yehong Wu. "The Dynamic Influence Graph Model on Mobile Datasets." International Journal of Database Theory and Application 8, no. 5 (October 31, 2015): 285–92. http://dx.doi.org/10.14257/ijdta.2015.8.5.25.
Full textLu, Xiaofeng, Xiaoming Wang, Pietro Lio’, and Pan Hui. "DADIM: A distance adjustment dynamic influence map model." Future Generation Computer Systems 112 (November 2020): 1122–30. http://dx.doi.org/10.1016/j.future.2020.06.020.
Full textZeng, Y., and P. Doshi. "Exploiting Model Equivalences for Solving Interactive Dynamic Influence Diagrams." Journal of Artificial Intelligence Research 43 (February 27, 2012): 211–55. http://dx.doi.org/10.1613/jair.3461.
Full textAffandi, Akhmad, and Dewi Puji Astuti. "Dynamic model of Ibn Khaldun theory on poverty." Humanomics 30, no. 2 (May 6, 2014): 136–61. http://dx.doi.org/10.1108/h-05-2012-0010.
Full textCallaghan, Jack P., Kiera Keown, and David M. Andrews. "Influence of dynamic factors on calculating cumulative low back loads." Occupational Ergonomics 5, no. 2 (November 2, 2005): 89–97. http://dx.doi.org/10.3233/oer-2005-5202.
Full textChung, D. C., S. C. Niranjan, J. W. Clark, A. Bidani, W. E. Johnston, J. B. Zwischenberger, and D. L. Traber. "A dynamic model of ventricular interaction and pericardial influence." American Journal of Physiology-Heart and Circulatory Physiology 272, no. 6 (June 1, 1997): H2942—H2962. http://dx.doi.org/10.1152/ajpheart.1997.272.6.h2942.
Full textHou, Guo An, and Tao Sun. "Influence of FTS's Dynamic Character on the Machining Error." Key Engineering Materials 579-580 (September 2013): 580–83. http://dx.doi.org/10.4028/www.scientific.net/kem.579-580.580.
Full textDissertations / Theses on the topic "Dynamic influence model"
Sakaguchi, K., X. Zeng, LR Leung, and P. Shao. "Influence of dynamic vegetation on carbon-nitrogen cycle feedback in the Community Land Model (CLM4)." IOP PUBLISHING LTD, 2016. http://hdl.handle.net/10150/624742.
Full textHsiao, Elizabeth T. "A dynamic model to study the influence of alpine ski boot characteristics on heel retention force /." Online version of thesis, 1994. http://hdl.handle.net/1850/11784.
Full textAbe, Steffen. "Investigation of the influence of different micro-physics on the dynamic behaviour of faults using the lattice solid model /." St. Lucia, Qld, 2001. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16551.pdf.
Full textErtugrul, Ozgur Lutfi. "Influence Of Deformable Geofoam Bufers On The Static And Dynamic Behaviors Of Cantilever Retaining Walls." Phd thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613734/index.pdf.
Full textRAIMUNDO, JULIANA DE MATOS PONTE. "INFLUENCE OF THE NONLINEAR FLEXURAL AND SWAY INTERACTION ON THE STATIC AND DYNAMIC INSTABILITY OF A CONCEPTUAL MODEL OF COLUMN." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2018. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=35769@1.
Full textCOORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE EXCELENCIA ACADEMICA
A estabilidade das colunas de um pórtico plano depende da importância relativa da rigidez à flexão e rigidez lateral de cada coluna e elementos adjacentes. Um exemplo típico é a maior capacidade de carga de pórticos planos com restrição lateral em comparação com pórticos semelhantes, sem restrição lateral. Também esta restrição tem uma influência importante na resposta pós-crítica e na sensibilidade à imperfeição da estrutura. A carga de flambagem pode ser dominada pela rigidez à flexão da coluna ou pela rigidez das restrições laterais. Dependendo dos valores relativos desses parâmetros, pode ocorrer interação modal. Nesse caso, podem surgir vários caminhos pós-críticos, acoplados e desacoplados, levando a uma topologia complexa da energia potencial total com vários pontos críticos (máximos, mínimos e selas). Os caminhos pós-críticos instáveis influenciam na sua capacidade de carga e na sensibilidade da estrutura a imperfeições. Isso leva a um complexo comportamento dinâmico não linear da estrutura carregada axialmente. No presente trabalho, um modelo conceitual de dois graus de liberdade de um elemento de pórtico plano sob compressão é estudado. Uma análise detalhada é realizada a fim de estudar como a rigidez lateral influencia: os comportamentos pré- e pós-crítico, a instabilidade paramétrica do modelo sob uma excitação harmônica axial e o comportamento ressonante do sistema estrutural carregado axialmente sob uma excitação de base; contribuindo para uma melhor compreensão da resposta não linear desta classe de estruturas. A análise das bifurcações mostra que a estrutura pode exibir várias soluções estáveis e instáveis coexistentes, levando a bacias de atração entrelaçadas, cuja topologia controla a integridade dinâmica da estrutura em um ambiente dinâmico. Para estudar o comportamento não linear do modelo, foram utilizadas várias estratégias numéricas para obter os caminhos de equilíbrio não lineares, pontos fixos estáveis e instáveis, diagramas de bifurcação e bacias de atração.
The stability of columns in a portal frame depends on the relative importance of the flexural and lateral stiffness of the column and connected elements. A typical example is the higher load capacity of non-sway frames as compared with that of similar frames with no lateral restrain. Also this restrain has an important influence on the post-critical response and imperfection sensitivity of the structure. The buckling load may be either dominated by the flexural stiffness of the columns or by the stiffness of the lateral restrains. Depending on the relative values of these parameters, interactive buckling may occur. In such case, several coupled and uncoupled post-buckling paths may arise, leading to a complex topology of the energy landscape with several critical points (maxima, minima and saddles). The resulting unstable post-buckling paths influence the structure s imperfection sensitivity and load carrying capacity of the structure. This leads to an involved nonlinear dynamic behaviour of the axially loaded structure. In the present work, a conceptual two-degree-of-freedom model of a plane-frame column is studied. A detailed analysis is conducted to study how the lateral stiffness influences the static buckling and post-buckling behavior, the parametric instability of the model under under axial harmonic excitation and the resonant behavior of the axially loaded structural system under base excitation, contributing to a better understanding of the nonlinear response of this class of structures. The bifurcation analysis shows that the structure may display several coexisting stable and unstable solutions, leading to intertwining basins of attraction, whose topology controls the dynamic integrity of the structure in a dynamic environment. To study the non-linear behavior of the model, several numerical strategies were used to obtain the nonlinear equilibrium paths, stable and unstable fixed points, bifurcation diagrams and basins of attraction.
Sanroman, Cervero Claudia. "The influence of torsional resistance of the deck on the dynamic response of a high-speed railway bridge : Case study: Ulla River Viaduct." Thesis, KTH, Bro- och stålbyggnad, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210558.
Full textNass, Ole. "Optimizing Online Marketing Efficiency By Analyzing the Mutual Influence of Online Marketing Channels with Respect to Different Devices." Doctoral thesis, Universitat Politècnica de València, 2019. http://hdl.handle.net/10251/122296.
Full text[CAT] Com és l'atribució en un entorn de omnicanal? Es pot determinar una distinció important en contrast amb l'atribució en un entorn multicanal. A més de proporcionar el procés d'anàlisi de màrqueting, una especificació del procés estàndard intersectorial per a la mineria de dades (CRISP¿DM), s'utilitza un enfocament de mètode mixt seqüencial per analitzar la qüestió principal de la investigació. En el primer pas d'aquesta investigació s'analitzen les característiques i els requisits d'atribució eficient en un entorn omnicanal. A partir d'entrevistes semiestructurades amb experts i d'un procés de recerca bibliogràfica holística estructurada, s'identifica clarament la falta d'un enfocament d'atribució omnicanal. Els enfocaments d'atribució existents s'identifiquen mitjançant la realització d'un procés estructurat de revisió de la literatura. Aquests enfocaments identificats s'avaluen aplicant els resultats de les entrevistes semiestructurades amb experts, és a dir, els requisits i característiques d'una atribució omnicanal eficient. Cap dels enfocaments d'atribució identificats compleix amb la majoria dels requisits de omnicanal analitzats. En tenir la bretxa de recerca ¿ la manca d'un enfocament d'atribució de omnicanales ¿ clarament identificada, es desenvolupa un enfocament d'atribució de omnicanales a la segona part d'aquesta investigació presentada. Utilitzant la metodologia MAP, la principal llacuna de recerca s'omple proporcionant el Holistic Customer Journey (HCJ): una base de dades a punt per al omni¿canal i un enfocament d'atribució de omni¿canal corresponent. Entre altres coses, l'enfocament d'atribució desenvolupat consisteix en una classificació d'aprenentatge automàtic. Aquesta investigació presentada és la primera a utilitzar informació de gairebé 240.000.000 de conjunts de dades d'interacció, que contenen informació entre dispositius i entre plataformes. Totes les fonts de dades subjacents són proporcionades per una de les plataformes immobiliàries més grans d'Alemanya.
[EN] What does attribution in an omni¿channel environment look like? A major distinction can be determined in contrast to attribution in a multi¿channel environment. Besides providing the Marketing Analytics Process, a specification of the Cross¿industry standard process for data mining (CRISP¿DM), a sequential mixed method approach is utilized to analyze the main research question. Within the first step of this presented research characteristics, and requirements of efficient attribution in an omni¿channel environment are analyzed. Based on semi¿structured expert interviews and a holistic structured literature research process, the lack of an omni¿channel attribution approach is clearly identified. Existing attribution approaches are identified by conducting the structured literature review process. Those identified approaches are evaluated by applying the results of the semi¿structured expert interviews - the requirements and characteristics of efficient omni¿channel attribution. None of the identified attribution approaches fulfill a majority of the analyzed omni¿channel requirements. By having the research gap - the lack of an omni¿channel attribution approach - clearly identifed, an omni¿channel attribution approach is developed in the second part of this presented research. Utilizing the MAP methodology, the main research gap is filled by providing the Holistic Customer Journey (HCJ): an omni¿channel ready data foundation and a corresponding omni¿channel attribution approach. Among other things the developed attribution approach consists of a machine learning classification. This presented research is the first to utilize information from almost 240.000.000 interaction data sets, containing crossdevice and cross¿platform information. All underlying data sources are provided by one of Germany's largest real¿estate platforms.
Nass, O. (2019). Optimizing Online Marketing Efficiency By Analyzing the Mutual Influence of Online Marketing Channels with Respect to Different Devices [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/122296
TESIS
Ragueneau, Frédéric. "Fonctionnement dynamique des structures en béton : influence des comportements hystériques locaux." Cachan, Ecole normale supérieure, 1999. http://www.theses.fr/1999DENS0001.
Full textBouchard, Marcel. "Common Crowd Dynamics: Shaping Behavioral Intention Models." OpenSIUC, 2011. https://opensiuc.lib.siu.edu/theses/723.
Full textKucharski, Adam. "The dynamics of immunity to seasonal influenza." Thesis, University of Cambridge, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.607908.
Full textBooks on the topic "Dynamic influence model"
Früh, Werner. Medienwirkungen: Das dynamisch-transaktionale Modell : Theorie und empirische Forschung. Opladen: Westdeutscher Verlag, 1991.
Find full textBekbasarov, Isabay. Study of the process of driving piles and dies on models. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1074097.
Full textFlierl, Glenn R. The influence of convection on large-scale circulations: 1988 Summer Study Program in Geophysical Fluid Dynamics. Woods Hole, Mass: WHOI, 1989.
Find full textLeenders, Roger Th A. J. Structure and influence: Statistical models for the dynamics of actor attributes, network structure, and their interdependence. Amsterdam: Thesis Publishers, 1995.
Find full textModeling social heterogeneity, neighborhoods and local influences on urban real estate prices: Spatial dynamic analyses in the Belo Horizonte metropolitan area, Brazil. Utrecht: Koninklijk Nederlands Aardrijkskundig Genootschap, 2009.
Find full textFurtado, Bernardo Alves. Modeling social heterogeneity, neighborhoods and local influences on urban real estate prices: Spatial dynamic analyses in the Belo Horizonte metropolitan area, Brazil. Utrecht: Koninklijk Nederlands Aardrijkskundig Genootschap, 2009.
Find full textGrandau, Frank J. Evaluation of the Naval Research Laboratory Limited Area Dynamical Weather Prediction Model: Topographic and coastal influences along the west coast of the United States. Monterey, Calif: Naval Postgraduate School, 1992.
Find full textNechaev, Vladimir, Andrey Shuba, Stanislav Gridnev, and Vitaliy Topolov. Dimensional effects in phase transitions and physical properties of ferroics. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1898400.
Full textStrohmaier, Alena, and Angela Krewani, eds. Media and Mapping Practices in the Middle East and North Africa. NL Amsterdam: Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789462989092.
Full textBrown, Richard F., Alexander Wuensch, and Carma L. Bylund. Models of communication skills training and their practical implications. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198736134.003.0003.
Full textBook chapters on the topic "Dynamic influence model"
Laufer, Bernhard, Jörn Kretschmer, Paul D. Docherty, Yeong Shiong Chiew, and Knut Möller. "The Influence of Airway Resistance in the Dynamic Elastance Model." In XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016, 56–61. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32703-7_12.
Full textHaslach, Henry W. "Dynamic Multi-scale Model for the Influence of Water on Elastin." In IFMBE Proceedings, 277–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03882-2_73.
Full textKuksin, Alexey, Genri Norman, Vladimir Stegailov, Alexey Yanilkin, and Petr Zhilyaev. "Dynamic fracture kinetics, influence of temperature and microstructure in the atomistic model of aluminum." In IUTAM Symposium on Dynamic Fracture and Fragmentation, 127–36. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-9760-6_10.
Full textChakroun, Ala Eddin, Chaima Hammami, Ahmed Hammami, Ana De-Juan, Fakher Chaari, Alfonso Fernandez, Fernando Viadero, and Mohamed Haddar. "Influence of the Viscoelasticity on the Dynamic Behavior of a Metallic-Polymer Worm Drive Model." In Lecture Notes in Mechanical Engineering, 385–92. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14615-2_43.
Full textPerrelli, Michele, Flavio Farroni, Francesco Timpone, and Domenico Mundo. "Analysis of Tire Temperature Influence on Vehicle Dynamic Behaviour Using a 15 DOF Lumped-Parameter Full-Car Model." In Advances in Service and Industrial Robotics, 266–74. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48989-2_29.
Full textMcArdle, John J., and John R. Nesselroade. "Dynamic influences over groups." In Longitudinal data analysis using structural equation models., 315–17. Washington: American Psychological Association, 2014. http://dx.doi.org/10.1037/14440-028.
Full textSchabauer, Martin, Andreas Hackl, Christoph Scherndl, Wolfgang Hirschberg, and Cornelia Lex. "Experimental Validation of a Semi-physical Modelling Approach of the Influence of Tyre Rotation on the Vertical Tyre Force Transmission and Tyre Kinematics." In Lecture Notes in Mechanical Engineering, 954–65. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07305-2_88.
Full textEngdal Jensen, Ragnhild. "Implications of Changing the Delivery Mode on Reading Tests in Norway—A Gender Perspective." In Equity, Equality and Diversity in the Nordic Model of Education, 337–62. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61648-9_13.
Full textLi, Xuedong. "Analysis on the Formation Cause and Characteristic of Yunnan Minority National Tradition Sports Based on the Influence Model and Dynamic Process Analysis." In Proceedings of the 2012 International Conference on Cybernetics and Informatics, 991–99. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-3872-4_128.
Full textGriffith, T. M. "Endothelium — Influenced Vasomotion: Models and Measurements." In Vascular Dynamics, 177–93. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-7856-3_14.
Full textConference papers on the topic "Dynamic influence model"
Xiong, Fei, Yun Liu, Xing Wang, and Fan Jia. "Kinetic exchange opinion model with dynamic individual influence." In 5th International Conference on Advanced Computer Control. Southampton, UK: WIT Press, 2014. http://dx.doi.org/10.2495/icacc130041.
Full textGarg, Devendra P., and Navneet Gulati. "Influence of Model Inaccuracies on the Prediction of Dynamic System Performance." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-32565.
Full textLu, Xiaofeng, and Xiaoming Wang. "A Dynamic Influence Map Model Based on Distance Adjustment." In 2018 IEEE 3rd International Conference on Communication and Information Systems (ICCIS). IEEE, 2018. http://dx.doi.org/10.1109/icomis.2018.8644890.
Full textZeng, Tao, Devesh Upadhyay, and Guoming Zhu. "A Regenerative Hydraulically Assisted Turbocharger System Model." In ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5101.
Full textTian, Le, and Huayi Yin. "A model recognition approach for solving interactive dynamic influence diagrams." In IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2017. http://dx.doi.org/10.1109/iecon.2017.8216935.
Full textCaires, Sofia, and Marcel R. A. van Gent. "18. INVESTIGATION OF THE INFLUENCE OF A LOW-TIDE TERRACE ON WAVE LOADS USING THE BOUSSINESQ-TYPE MODEL TRITON." In Coastal Dynamics 2009 - Impacts of Human Activities on Dynamic Coastal Processes. WORLD SCIENTIFIC, 2009. http://dx.doi.org/10.1142/9789814282475_0021.
Full textLaxman, Vaitla, and Comandur Venkatesan. "Rotor Blade Dynamic Stall Model and Its Influence on Airfoil Response." In 47th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference
14th AIAA/ASME/AHS Adaptive Structures Conference
7th. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2006. http://dx.doi.org/10.2514/6.2006-1866.
Murakami, Shintaroh, and Hidekazu Nishimura. "Modal Analysis of a Motorcycle Motion During Braking for its Stabilization Control System Design." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-4013.
Full textGonc¸alves, Paulo B., Diego Orlando, Giuseppe Rega, and Stefano Lenci. "Influence of Modal Coupling on the Nonlinear Dynamics of Augusti’s Model." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86135.
Full textFlores, Paulo. "Influence of the Lubrication Model on the Dynamic Response of Mechanical Systems." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12053.
Full textReports on the topic "Dynamic influence model"
Соловйов, Володимир Миколайович, and І. Є. Федорішин. Дослідження впливу економічних шоків на стан економіки України. Брама, видавець Третяков О. М., 2015. http://dx.doi.org/10.31812/0564/1149.
Full textKondratenko, Larysa O., Hanna T. Samoylenko, Arnold E. Kiv, Anna V. Selivanova, Oleg I. Pursky, Tetyana O. Filimonova, and Iryna O. Buchatska. Computer simulation of processes that influence adolescent learning motivation. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4452.
Full textAtran, Scott, Douglas Medin, Richard Davis, Jeremy Ginges, Robert Axelrod, and Juan Zarate. Mutual Influence of Moral Values, Mental Models and Social Dynamics on Intergroup Conflict. Fort Belvoir, VA: Defense Technical Information Center, April 2010. http://dx.doi.org/10.21236/ada523370.
Full textAtran, Scott, and Richard Davis. Mutual Influence of Moral Values, Mental Models and Social Dynamics on Intergroup Conflict. Fort Belvoir, VA: Defense Technical Information Center, October 2013. http://dx.doi.org/10.21236/ada591831.
Full textSeale, Maria, Natàlia Garcia-Reyero, R. Salter, and Alicia Ruvinsky. An epigenetic modeling approach for adaptive prognostics of engineered systems. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41282.
Full textDassanayake, Wajira, Chandimal Jayawardena, Iman Ardekani, and Hamid Sharifzadeh. Models Applied in Stock Market Prediction: A Literature Survey. Unitec ePress, March 2019. http://dx.doi.org/10.34074/ocds.12019.
Full textBar-Tal, Asher, Paul R. Bloom, Pinchas Fine, C. Edward Clapp, Aviva Hadas, Rodney T. Venterea, Dan Zohar, Dong Chen, and Jean-Alex Molina. Effects of soil properties and organic residues management on C sequestration and N losses. United States Department of Agriculture, August 2008. http://dx.doi.org/10.32747/2008.7587729.bard.
Full textTorres, Marissa, Michael-Angelo Lam, and Matt Malej. Practical guidance for numerical modeling in FUNWAVE-TVD. Engineer Research and Development Center (U.S.), October 2022. http://dx.doi.org/10.21079/11681/45641.
Full textFurman, Alex, Jan Hopmans, Shmuel Assouline, Jirka Simunek, and Jim Richards. Soil Environmental Effects on Root Growth and Uptake Dynamics for Irrigated Systems. United States Department of Agriculture, February 2011. http://dx.doi.org/10.32747/2011.7592118.bard.
Full textKharadzhian, Natalia, Larysa Savchenko, Karyna Safian, Yuliia Kulinka, and Oksana Mykolaivna Kopylova. Future Professional Education Specialists’ Mastering of Project Methodology of Creating Pedagogical Situations in the Service Sector. [б. в.], August 2020. http://dx.doi.org/10.31812/123456789/4142.
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