23 results on '"news communication"'
Search Results
2. Detection Method of Fake News Spread in Social Network Based on Deep Learning
- Author
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Lu, Yandan, Ye, Hongmei, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Fu, Weina, editor, and Yun, Lin, editor
- Published
- 2023
- Full Text
- View/download PDF
3. Analysis of News Communication Law Based on PSR Model
- Author
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Zhuang Jie
- Subjects
psr model ,news communication ,00a71 ,Mathematics ,QA1-939 - Abstract
Based on the PSR model, the author proposes a research on news communication. PSR is a model proposed by OECD for system pressure, state and response analysis. On the basis of in-depth analysis of various factors in the process of coordinated development of the social, economic and natural environment composite system, the author constructs a kind of PSR composite model, by using the theory and method of system dynamics, the sustainable development of social, economic and environmental systems is studied, and the knowledge atlas is used to describe and evaluate the current situation and development trend of the education of news communication discipline, conduct a comprehensive and visual analysis of journalism and communication education research to show the frontier, hot spots, knowledge base and cooperation network of the discipline's education research, and try to clarify the relationship and interaction between various studies.
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- 2023
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- View/download PDF
4. Dilemma and coping strategies of news communication based on artificial intelligence and big data
- Author
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Wen Zhou
- Subjects
News communication ,News communication dilemma ,Coping strategies ,Artificial intelligence and big data ,Science (General) ,Q1-390 ,Social sciences (General) ,H1-99 - Abstract
News dissemination is an important way for people to obtain information. With the development of new technologies, traditional news dissemination models have been impacted. It has problems with information filtering and bias, and has certain limitations in news quality, dissemination efficiency, etc., which makes it difficult to effectively meet people's information needs. In order to improve the quality and efficiency of news dissemination, promote the positive impact of news dissemination on society, this article combined artificial intelligence and big data technology to conduct in-depth research on the difficulties and coping strategies of news dissemination. This article first analyzed the characteristics and functions and influencing factors of news dissemination, then provided an overview of the difficulties and coping strategies in news dissemination. Finally, using association rule algorithms, personalized recommendations for news dissemination are achieved. To verify the effectiveness of artificial intelligence and big data in coping with the dilemma of news dissemination, this article conducted experimental analysis from the perspectives of news content quality, dissemination efficiency, objectivity, and dissemination cost. The experimental results show that under the application of news dissemination strategies based on artificial intelligence and big data, the quality of news content and dissemination efficiency have been improved by 4.76 % and 3.63 %, respectively. The conclusion indicates that artificial intelligence and big data can help improve the quality and dissemination efficiency of news content, and meet the diverse needs of the public for information.
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- 2024
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5. Research on new media art exchange and communication driven by artificial intelligence technology
- Author
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Zhang Wenting and Wang Xuejiao
- Subjects
artificial intelligence ,news communication ,intelligent migration ,interactive way ,68t42 ,Mathematics ,QA1-939 - Abstract
This paper gathers information on artificial intelligence, art communication, news communication, and other related topics, with the aim of comprehending the role of artificial intelligence in enhancing information and new media art communication. The paper selects information from the “Annual Development Report of China’s News Industry” and “Review of China’s Advertising Market” to analyze and summarize the current state of the gradual intelligentization of news. We examine the browsing data from new-era news media, including today’s headlines, to investigate the impact of intelligent news dissemination. Lastly, we scrutinize the spatial data from actual new media artworks to comprehend the role of intelligence as a catalyst for experiencing a sense of immersion. The results show that by June 2024, the number of Internet users will be as high as 725 million, accounting for 96.8%. The penetration rate of intelligent new media also rises gradually with changes in time. It reached 84.9% in 2023, and almost half of the users are undergoing intelligent migration. And Tencent News, as a new-age news media, tops the list with a monthly activity of 27,042.17. The interactive nature of artificial intelligence technology promotes artistic communication and broadens the scope of communication.
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- 2024
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6. The interplay between the role of emerging technologies in the field of news communication and brand image building
- Author
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Wang Lv
- Subjects
emerging technology ,news communication ,brand image building ,regression analysis ,03b70 ,Mathematics ,QA1-939 - Abstract
Emerging technologies such as big data, the Internet of Things and artificial intelligence are developing rapidly and entering into many fields and industries, while their role in the field of news communication and brand image shaping has an important role in influencing. This paper selects WeChat, a Tencent product, as the research object and divides brand image shaping into four dimensions, namely brand awareness, brand trust, brand loyalty, and brand value, to test the relationship between emerging technologies and brand image shaping. Then, we put forward the research hypothesis of this paper and use empirical analysis to test the hypothesis and the empirical results show that the r-value of emerging technology and brand loyalty is 0.591, p
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- 2024
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7. Innovative Strategies for Cultivating Journalism and Communication Talents in the All-Media Era Based on the Light GBM Model
- Author
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Pan Yan
- Subjects
big data ,all-media era ,light gbm model ,news communication ,innovation strategy ,65z05 ,Mathematics ,QA1-939 - Abstract
Under the development background of digitalization of big data and information, artificial intelligence and the Internet of Things are rising like mushrooms. It is difficult for the traditional journalism communication teaching mode in colleges and universities to keep pace with the development of the times, and there are several problems in the traditional teaching methods, such as teaching being too rigid, lack of personalized teaching, and teaching means being too backward. This paper focuses on the innovative strategy of journalism communication talents training in the era of full media based on Light GBM model. Firstly, we understand the principle and construction idea of Light GBM model by viewing the information, comparing the difference between XG Boost algorithm and Light GBM two algorithms, analyzing the advantages and limitations of Light GBM, optimizing the algorithm by establishing the hyperparameters of Light GBM model under grid search algorithm, understand the teaching status of college journalism broadcasting majors through survey and analysis, based on Light model under the analysis of feedback to propose targeted innovation strategies, 30 times ten-fold hierarchical cross-validation study of the three algorithms. The mean and standard deviation results of 11 dichotomous classification models accuracy and F1 values under the three algorithms were compared. The results show that in 11 sets of dichotomous data sets, the optimized Light GBM algorithm has 9 sets of experimental accuracy wins and 7 sets of experimental F1 values wins, with 81.8% accuracy and 63.6% of F1 values wins. The optimized Light GBM algorithm had seven experiments that beat the other two groups of algorithms in comparing the accuracy and F1 value. This study can accurately predict students’ learning behaviors to improve the professional performance of journalism and communication students in a targeted manner and has a reference value for the innovation of journalism and communication teaching mode in colleges and universities in the context of big data and all-media era, and this study has great historical significance for the development of Chinese journalism industry.
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- 2024
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8. Analysis of news communication strategies in the era of full media based on data mining
- Author
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Liu Xin
- Subjects
single-pass hierarchical clustering ,content tree ,feature word extraction ,data mining ,news communication ,97p70 ,Mathematics ,QA1-939 - Abstract
In this paper, we first study the representation of news text, build the content tree using the CTWE text method, and combine the word vector with the interrelationship between words in the content tree. Then, a feature word extraction technique is applied to filter key information, and Single-pass hierarchical clustering algorithm is used to classify the news content, and a data mining algorithm is applied to realize news delivery. Finally, the impact of information’s initial value and credibility on the transmission process is examined, and the model’s feasibility and practicality are assessed. The results show that the RMSE value of the data mining model is 0.0408, the Pearson correlation coefficient is 0.9334, and the cosine similarity is 0.9596, and the model in this paper has the smallest deviation from the real data and the greatest similarity compared with other models. This study confirms the unique advantages of the data mining model in news dissemination.
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- 2024
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9. Application of Artificial Intelligence in News Communication
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Song, Guohua, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Hung, Jason C., editor, Chang, Jia-Wei, editor, Pei, Yan, editor, and Wu, Wei-Chen, editor
- Published
- 2022
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10. An artificial intelligence based news feature mining system based on the Internet of Things and multi-sensor fusion
- Author
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Zhuozheng Xie and Junren Wang
- Subjects
IoT technology ,News communication ,Sensors ,Artificial intelligence ,Electronic computers. Computer science ,QA75.5-76.95 - Abstract
The application of Internet of Things (IoT) technology in news media communication has significantly enhanced the effectiveness and coverage of news data releases. However, as the scale of news data continues to grow, traditional IoT approaches face challenges such as slow data processing speed and low mining efficiency. To address these issues, a novel news feature mining system combining IoT and Artificial Intelligence (AI) has been developed. The hardware components of the system include a data collector, a data analyzer, a central controller, and sensors. The GJ-HD data collector is utilized to gather news data. Multiple network interfaces are designed at the device terminal to ensure data extraction from the internal disk in case of device failure. The central controller integrates the MP/MC and DCNF interfaces for seamless information interconnection. In the software aspect of the system, the network transmission protocol of the AI algorithm is embedded, and a communication feature model is constructed. This enables fast and accurate mining of news data communication features. Experimental results demonstrate that the system achieves a mining accuracy of over 98%, enabling efficient processing of news data. Overall, the proposed IoT and AI-based news feature mining system overcomes the limitations of traditional approaches, allowing for efficient and accurate processing of news data in a rapidly expanding digital landscape.
- Published
- 2023
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11. Analysis of User Preference Algorithm Recommendation Mechanism in News Communication.
- Author
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Shang Cao
- Subjects
ALGORITHMS ,COMMUNICATION ,CONSUMERS ,TELECOMMUNICATION ,INDUSTRIAL management - Abstract
With the continuous improvement of algorithm technology, the field of news communication has also ushered in a transformation from traditional media to self-media, from self-media to algorithmic media, and from the center of the transmitter to the center of the recipient. The news algorithm recommendation mechanism can effectively meet the preferences and needs of users, maximize the cohesion between media and users, and ensure that the number of customers will not be lost in business operations. However, the news algorithm recommendation mechanism also has many problems of its own. This article analyzes it from the following multiple angles. First of all, starting from the theory of agenda setting in the field of news communication, it can be concluded that agenda setting under the news algorithm recommendation mechanism is partially invalid, but the mainstream media can still take on the role of replacement. Secondly, it analyzes the two aspects of information rights and privacy rights from the perspective of law and interprets the legal effect of news algorithm recommendation from two different normative paths. Finally, through sociological discussion of technology ethics, it is necessary to establish a more unified social norm to deal with various ethical crises that technology may bring. [ABSTRACT FROM AUTHOR]
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- 2023
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12. Online Matching Method of News Communication Innovative Teaching Mode Driven by Artificial Intelligence
- Author
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Qian, Jia, Wang, Li-li, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Fu, Weina, editor, Xu, Yuan, editor, Wang, Shui-Hua, editor, and Zhang, Yudong, editor
- Published
- 2021
- Full Text
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13. Media Ecology in Journalism: A Phenomenological Study of the Adaptation Strategies of Senior Journalists
- Author
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Cinar, Ali and Cinar, Ali
- Abstract
This dissertation investigates the adaptation strategies of senior journalists in the ever-evolving media landscape. The extensive technological advancements in media informed the idea behind this dissertation. The study employs a phenomenological approach in exploring the experiences of seasoned journalists and their approaches toward transitioning from conventional journalism to the modern digital landscape. Neil Postman’s media ecology theory is the theoretical framework for this dissertation. The theory postulates that the changes in media greatly influence communication, interaction, and human perception. The research commences by investigating the historical context of journalism, taking into consideration the shift to digital media from print and broadcast media. Such a shift has brought about profound opportunities and challenges for journalists. Subsequently, the literature review covers the effect of digital media on the practice of journalism, the rise of citizen journalism, the evolving role of journalists, as well as the challenges resulting from the proliferation of information. The research used qualitative interviews in its investigation, where senior journalists were used as the participants to provide insight regarding their adaptation strategies. The findings of the study indicate that acquiring multimedia skills, embracing new technologies, and ensuring journalist integrity in an increasing infotainment and speed-dominated environment are essential for successful adaptation. At the same time, the research highlights particular approaches that have brought about long-term success and provides insights regarding navigating the digital landscape to aspiring journalists. The study concludes with implication discussions of the findings for education and, most importantly, journalism practice. In this case, emphasis is channeled towards adaptability and continuous skills development during the continuing technological transformation. Ultimately, the re
- Published
- 2024
14. The Improvement of News Communication Mode by Data Mining and Visualization Technology
- Author
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Yang, Jiao, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Atiquzzaman, Mohammed, editor, Yen, Neil, editor, and Xu, Zheng, editor
- Published
- 2020
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15. Exploring Entrepreneurial Behavior and Model Innovation of New Ventures via News Communication.
- Author
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Sun, Ningfeng, Zhu, Gang, Song, Hanning, Zhang, Fengrui, and Liu, Yuanbing
- Subjects
NEW business enterprises ,SOCIAL cognition theory (Communication) ,HUMAN behavior models ,SELF-efficacy - Abstract
The investigation into entrepreneurial behavior and model innovation of new ventures based on news communication aims to reinforce the market competition strength and improve the performance level of new ventures to meet the urgent needs of transformation and upgrading. Based on the theoretical basis of news communication and social cognition theory, a theoretical model is constructed to analyze the relationship between entrepreneurial behavior, innovation mode, and entrepreneurial self-efficacy (ESE) and to provide a reference for the implementation of entrepreneurial behavior of new ventures. Evidently, taking individual factors as antecedent variables to verify their impact on internal entrepreneurial behavior extends the scope of research on corporate entrepreneurship and also provides significant managerial implications for the promotion of entrepreneurial activities. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
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16. Exploring Entrepreneurial Behavior and Model Innovation of New Ventures via News Communication
- Author
-
Ningfeng Sun, Gang Zhu, Hanning Song, Fengrui Zhang, and Yuanbing Liu
- Subjects
new ventures ,entrepreneurial behavior ,entrepreneurial self-efficacy ,news communication ,model innovation ,Psychology ,BF1-990 - Abstract
The investigation into entrepreneurial behavior and model innovation of new ventures based on news communication aims to reinforce the market competition strength and improve the performance level of new ventures to meet the urgent needs of transformation and upgrading. Based on the theoretical basis of news communication and social cognition theory, a theoretical model is constructed to analyze the relationship between entrepreneurial behavior, innovation mode, and entrepreneurial self-efficacy (ESE) and to provide a reference for the implementation of entrepreneurial behavior of new ventures. Evidently, taking individual factors as antecedent variables to verify their impact on internal entrepreneurial behavior extends the scope of research on corporate entrepreneurship and also provides significant managerial implications for the promotion of entrepreneurial activities.
- Published
- 2021
- Full Text
- View/download PDF
17. Application of virtual reality technology and digital twin in digital media communication.
- Author
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Li, Ma and Wenjie, Shao
- Subjects
- *
VIRTUAL reality , *DIGITAL media , *DIGITAL technology , *DIGITAL communications , *PROBLEM solving , *DATA recovery , *SPACE environment - Abstract
Virtual reality emerged as an interactive, dynamic and dynamic technology in the early 1980 s. recently, with the introduction of advanced digital (DT) concept and its application in space, it has great advantages in information integration. virtual integration, real-time dynamic optimization decision-making and so on are helpful to solve these problems. means making full use of physical models and data (product design data, historical run data, service recovery data, etc.) to accomplish tasks. Replicating physical space in virtual space and applying virtual reality and digital mirror image to the production of digital media can help news integrate all content, display the whole process, avoid problems, close circuits, optimize repeated operations, Make dynamic decisions in real time. The goal is to realize the interaction and integration between the real world environment and the virtual space of the digital environment in order to realize the harmony between the virtual real space in the whole life cycle. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
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18. 疫情防控下中超联赛组织与管理的经验与启示.
- Author
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林子涵, 李重洁, and 于晓光
- Abstract
Copyright of Journal of Shenyang Sport University is the property of Shenyang Physical Education Institute and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2021
- Full Text
- View/download PDF
19. Dilemma and coping strategies of news communication based on artificial intelligence and big data.
- Author
-
Zhou W
- Abstract
News dissemination is an important way for people to obtain information. With the development of new technologies, traditional news dissemination models have been impacted. It has problems with information filtering and bias, and has certain limitations in news quality, dissemination efficiency, etc., which makes it difficult to effectively meet people's information needs. In order to improve the quality and efficiency of news dissemination, promote the positive impact of news dissemination on society, this article combined artificial intelligence and big data technology to conduct in-depth research on the difficulties and coping strategies of news dissemination. This article first analyzed the characteristics and functions and influencing factors of news dissemination, then provided an overview of the difficulties and coping strategies in news dissemination. Finally, using association rule algorithms, personalized recommendations for news dissemination are achieved. To verify the effectiveness of artificial intelligence and big data in coping with the dilemma of news dissemination, this article conducted experimental analysis from the perspectives of news content quality, dissemination efficiency, objectivity, and dissemination cost. The experimental results show that under the application of news dissemination strategies based on artificial intelligence and big data, the quality of news content and dissemination efficiency have been improved by 4.76 % and 3.63 %, respectively. The conclusion indicates that artificial intelligence and big data can help improve the quality and dissemination efficiency of news content, and meet the diverse needs of the public for information., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Author.)
- Published
- 2024
- Full Text
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20. Research on the Role of News Communication in the Construction of Cultural Atmosphere for Environmental Protection.
- Author
-
Weihao Wang
- Abstract
A good environmental protection culture plays a vital role in long-term environmental protection, and the construction of environmental protection culture atmosphere is closely related to news communication. Scientific news communication can spread to more people, let more people know and understand the importance of environmental protection, and be able to make a deep impression on people's value perception, let people consciously participate in environmental protection. News communication can influence people's environmental protection concepts, change people's consumption direction, and spread new concepts of environmental protection culture. [ABSTRACT FROM AUTHOR]
- Published
- 2019
21. Exploring Entrepreneurial Behavior and Model Innovation of New Ventures via News Communication
- Author
-
Yuanbing Liu, Hanning Song, Gang Zhu, Ningfeng Sun, and Fengrui Zhang
- Subjects
ComputingMilieux_THECOMPUTINGPROFESSION ,news communication ,model innovation ,New Ventures ,entrepreneurial behavior ,Psychology ,Marketing ,new ventures ,General Psychology ,entrepreneurial self-efficacy ,Original Research ,BF1-990 - Abstract
The investigation into entrepreneurial behavior and model innovation of new ventures based on news communication aims to reinforce the market competition strength and improve the performance level of new ventures to meet the urgent needs of transformation and upgrading. Based on the theoretical basis of news communication and social cognition theory, a theoretical model is constructed to analyze the relationship between entrepreneurial behavior, innovation mode, and entrepreneurial self-efficacy (ESE) and to provide a reference for the implementation of entrepreneurial behavior of new ventures. Evidently, taking individual factors as antecedent variables to verify their impact on internal entrepreneurial behavior extends the scope of research on corporate entrepreneurship and also provides significant managerial implications for the promotion of entrepreneurial activities.
- Published
- 2021
- Full Text
- View/download PDF
22. An artificial intelligence based news feature mining system based on the Internet of Things and multi-sensor fusion.
- Author
-
Xie Z and Wang J
- Abstract
The application of Internet of Things (IoT) technology in news media communication has significantly enhanced the effectiveness and coverage of news data releases. However, as the scale of news data continues to grow, traditional IoT approaches face challenges such as slow data processing speed and low mining efficiency. To address these issues, a novel news feature mining system combining IoT and Artificial Intelligence (AI) has been developed. The hardware components of the system include a data collector, a data analyzer, a central controller, and sensors. The GJ-HD data collector is utilized to gather news data. Multiple network interfaces are designed at the device terminal to ensure data extraction from the internal disk in case of device failure. The central controller integrates the MP/MC and DCNF interfaces for seamless information interconnection. In the software aspect of the system, the network transmission protocol of the AI algorithm is embedded, and a communication feature model is constructed. This enables fast and accurate mining of news data communication features. Experimental results demonstrate that the system achieves a mining accuracy of over 98%, enabling efficient processing of news data. Overall, the proposed IoT and AI-based news feature mining system overcomes the limitations of traditional approaches, allowing for efficient and accurate processing of news data in a rapidly expanding digital landscape., Competing Interests: The authors declare there are no competing interests., (©2023 Xie et al.)
- Published
- 2023
- Full Text
- View/download PDF
23. [Untitled]
- Subjects
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������������������������������ ���������������� ������������������ �������������������� ���������������������������� �� ������������������ ������������������. �������� ���������������������� ����������������������������, �������������������������������� ���������������� �������������� �� �������������� ��������������, �� ���������� ���������������� �������� �� ������������ �������������������� �������������������������� �������������� �� ������������������������ ������������������ ������������������. ���� ���������������� ������������������ ������������������ ���������������� ������������ ������������������������ �������������������������� ������������������ ���������������������������� �� ������������������������ ����������������.���������������� ����������: ����������������������������, ������������������ ������������������, ������������������, ��������������, �������������������� ��������, ��������, The article analyzes the main strategies for achieving persuasiveness in a news report. Th e author defi nes persuasiveness, analyzes the main approaches to this concept, and also considers the main goals and objectives of achieving a persuasiveness eff ect in an English-language news report. In addition, the analysis of the features of the representation of the strategy of persuasiveness in English-language news is carried out on the examples of news reports., �������������� ���������������������� ������������ ������������������������ ���������� ���������������� �� ���������������������� ����������, ������������ 3 2021, Pages 81-89
- Published
- 2021
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