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    M

    Moscow State Institute of Culture

    院校EST. 1930
    531论文总数
    338引用总数

    .

    论文量&引用量时间轴

    机构学者

    排序
    Natalia Lopatina
    Natalia Lopatina
    Institute of Systematics and Ecology of Animals
    论文:10引用:0H-index:0
    Dergacheva Irina
    Dergacheva Irina
    Dept Linguist, Moscow State Inst Culture
    论文:6引用:0H-index:0
    Alena A. Zharkova
    Alena A. Zharkova
    Dept Social & Cultural Activ, Moscow State Inst Culture
    论文:6引用:0H-index:0
    Natalya Lopatina
    Natalya Lopatina
    Moscow State Institute of Culture
    论文:6引用:0H-index:0
    Marina Sergeevna Novashina
    Marina Sergeevna Novashina
    Moscow State Institute of Culture
    论文:5引用:0H-index:0
    Gritsay A. Lyudmila
    Gritsay A. Lyudmila
    Correspondence Ryazan Inst Branch, Moscow State Univ Culture & Arts
    论文:5引用:0H-index:0
    Elena V. Mareeva
    Elena V. Mareeva
    Dept Social & Philosoph Disciplines, Moscow State Inst Culture
    论文:5引用:0H-index:0
    Natalya Gendina
    Natalya Gendina
    Inst Informat Technol Social Sphere, Kemerovo State Univ Culture & Arts
    论文:4引用:0H-index:0
    M. B. Smolin
    M. B. Smolin
    Moscow State Institute of Culture
    论文:4引用:0H-index:0

    论文(531)

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    1
    BEN WANG
    2026Themed collection of papers from Foreign international scientific conference «Joint innovation - joi...(2026)
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    2Promotion of Information Literacy in the Artificial Intelligence Era: the Cases of the National Libraries in China, Indonesia and Australia
    N. I. Gendina, A. A. Muromtseva

    Systematic information background is an essential skill for humans in the digital era. The authors examine the evolution of the information literacy concept, and characterize IFLA and UNESCO efforts in developing information training. They generalize on the use of “media-information literacy” term in the two editions of UNESCO curriculum. The authors discuss the role of libraries in building AI (Artificial Intelligence) literacy. They analyze official websites of the national libraries in China, Indonesia and Australia to reveal the content of educating user information literacy and classify the website sections and headings related to information literacy content. The authors conclude that information literacy has ceased to be a set of technical skills and are transform into a strategic competence to be comprehensively developed by the libraries.

    2026Scientific and Technical Libraries(2026)
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    3Modelling and Classification of Heteromorphic Data on Folk Arts in Digital Information and Educational Environment
    A. R. Zhetev, V. M. Tyutyunnik

    The authors offer the model of integration and classification of various formats of data related to the folk culture within academic digital information educational environment. In the case study of Moscow State Institute of Culture, they examine the objects and digital resources generated by the related departments (departments of folk culture, folk dance, folk musical instruments, folk singing art, design, and art and craft department). The highly heterogeneous data comprise texts, audio and video materials, graphics, music scores, 3D-models, and metainformation. As the methodological foundation, the authors propose the complex solution combining specialized ontology for semantic binding of heterogeneous objects, system architecture for long-term data preservation, and the model for their integration into the interactive 3D-space. The 3D-environment model, as a virtual museum or laboratory, enables to group and represent cultural objects by region or subject, and to visualize and enhance interdisciplinary ties. The novelty of the study is related to building Digital Information and Educational Environment (DIEE) model, integrated and adapted to the data specific character, i.e. folk culture and art. The study findings will be useful for digital heritage preservation, and improvement of research performance, and may be implemented into the learning process in the institutes of culture.

    2026Scientific and Technical Libraries(2026)
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    4Artificial Intelligence in EPUB Digital Publications: Developing New Standards for E-Books and Textbooks
    Igor V. Timoshenko

    The author examines the trends in the EPUB regulations on the level of international standardization in the context of artificial intelligence (AI) technologies explosion. He demonstrates the advantages of EPUB as a digital publication format, and reviews the key innovative trends in EPUB standardization aimed at the better user experience with digital publications in academic libraries. The higher learning efficiency can be achieved through implementing AI tools into e-textbooks content, while the regulations in this area are needed both on the national and international levels. To make the AI-generated content trusted, the problems of confidentiality of information in the digital publications and observation of ethical norms have to be addressed. The author discusses the key vectors of AI implementation into digital publications for their semantic retrieval markup automation, content expansion with multimedia and multimodal access arrangement. The potential and advantages of new technologies are discussed, along with the risks and challenges, including the ethical aspects of digital textbooks with AI, are discussed. The article is based on the conclusions of ISO/IEC JTC 1/SC 34/JWG 7 “EPUB” joint expert group meeting of September 2025. It is intended for librarians, information specialists and educationalists interested in further development of digital publication technologies and digital educational resources.

    2026Scientific and Technical Libraries(2026)
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    5Organizations of the Socialist Revolutionary Party in 1905 — Early 1906 According to Documents of the Police Department
    Yevgenia V. Oksenyuk

    This article examines the organizational condition and prospects for the development of the illegal mass organizations of the Socialist Revolutionary Party on the eve of and during the early stages of the First Russian Revolution (1905–1906), based on documents from the Police Department. The study relies primarily on records of the Special Section of the Police Department, now preserved in the State Archive of the Russian Federation. The picture presented by police reports sent from various regions of the Russian Empire reveals, on the one hand, a process of active expansion, especially in the capital regions, and, on the other hand, organizational problems that prevented the Party from becoming a truly mass movement. The police noted conflicts between workers and the party intelligentsia, the penetration of revolutionaries into military and student circles, cooperation with other revolutionary parties, and the consequences of the October Manifesto. It becomes evident that changes in organizational work and new principles for creating local cells did not remain secret from the police, which quickly gained access to internal party documents. In effect, the entire internal picture of the Party’s attempts to build a mass organization was available to the security authorities. Particular attention was consistently directed toward the combat and military organizations of the Socialist Revolutionary Party, which were regarded as posing the greatest threat to the existing order. The article concludes that the Police Department possessed a clear understanding of both the prospects and the actual condition of the Socialist Revolutionary Party’s development. These realities were not hidden from law-enforcement officials, and the insufficient operational activity directed against revolutionaries stemmed not from a lack of information but rather from internal problems within the police apparatus itself.

    2026Исторический вестник(2026)
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