The generalized structure of rational activity is considered. The model of cognitive processes is presented in the form of interacting functional blocks of processing of information structures. In the context of the activity approach, the basic concepts of natural and artificial intelligence are considered, and the characteristic properties of the essence of “knowledge” are determined. The necessity of considering intelligence in symbiosis with knowledge and activity is substantiated.
This study discusses the historical aspects of, current status of, and prospects for building a new national public system of scientific and engineering information (NPSSEI) in the context of digitalization and a new sociopolitical landscape. The work emphasizes the need to unite all of the country’s information generators, namely, SEI centers, academic libraries, and open-access systems, to build a new NPSSEI.
Thematic areas of journalism have a significant impact on the formation of a common agenda. However, the mechanisms of their formation, development, and mutual influence in modern conditions have not systematically presented in media studies. Special attention should be paid to the question of the impact on the thematic agenda of current public challenges. In this study, the first step has been taken in the direction of this work: a conclusion has been drawn regarding the relevance of topics in the headings of leading media, a brief overview of the dynamics of mentions and the proportions of the combination of agendas has been made, and directions for further development have been outlined.
The stated main goal of restructuring the network of scientific organizations that was accompanied by the creation of Federal Research Centers (FRCs) was to increase their efficiency, that is, specific research performance. The first FRCs were established in 2014. Despite the ambiguous attitude of the academic community to the amalgamation of institutes and the FRC management experience accumulated to date, there are still no quantitative studies of the effect of the amalgamation of institutes and the creation of multidisciplinary regional research centers. This work attempts to fill this gap with the help of a specially developed research performance indicator that allows a comparison of scientific organizations by efficiency in different areas of research, with multitopic studies included. The results show that, generally speaking, the expected rise in performance has not been achieved and the success of individual research centers is quite comparable to the rise in performance of top institutes that were not exposed to restructuring.
This work presents the main provisions for studying systems of monitoring the implementation of framework CIS international documents in the domain of research, engineering, and innovation as part of taking steps determined by the Plan of Implementing the CIS Economic Development Strategy for the Period Up to 2030. A brief formulation is provided of the main works by VINITI RAS related to the creation of electronic systems for monitoring the implementation of the CIS documents on the CIS web portal as a tool for managing this process.
The main tasks of modern scientometrics are considered, including monitoring the effectiveness of science, and the possibility of solving them with the use of high-performance artificial intelligence tools is analyzed. The characteristics of artificial intelligence as a branch of computer science are presented, and the contribution of neuroinformatics to its development is noted. The common features and differences of the main types of machine learning developed to date are considered: classical, deep, hybrid, and automatic learning. The features of the functioning of artificial neural networks are presented, including their internal structure, order of operation, distinctive features, areas, and conditions of application. Examples of the practical use of artificial intelligence tools in modern scientometric research are given: central attention is paid to the advanced developments of the Indian scientific school. The urgently demanded method of article-by-article classification of scientific literature, as proposed by Arab scientists, is also outlined. A conclusion is drawn about the great importance of artificial intelligence and the relevance of its application for the implementation of new opportunities in optimizing scientometric research.
Long documents such as scientific papers and government reports, often discuss substantial issues in long conversation, which are time-consuming to read and understand. Generating abstractive summaries can help readers quickly grasp the main topics, yet prior work has mostly focused on short texts and also has some of the drawbacks such as out-of-vocabulary (OOV), mismatched sentences and meaning less summary. Hence, to overcome these issues the hybrid approach for automatic text summarization using the TextR-BLG pointer algorithm. In this designed model, the long document is given as an input for automatic text summarization and are evaluated for the word frequency length, based on the threshold value the sentences are split into extractive and abstractive approach. The text algorithm used in this model finds out the sentence similarity score and is validated with the plotted graph. Likewise, the sentences above the threshold level are considered as the abstractive approach. The optimized BERT-LSTM-BiGRU (BLG) based pointer algorithm is used for learning the meaning from the sentences by word embedding, encoding and decoding the hidden states. Finally, the reframed sentences are considered for attaining the similarity score and plotting graph. The sentences from the abstractive and extractive approach are ranked based on the plotted graph for generating the summary. For evaluating the performance of the model, the ROUGE 1, ROUGE 2, ROUGE L, Bert Score, Bleu Score, and Meteor Score are 59.2, 58.4, 62.3, 0.92, 0.78, and 0.67, which are compared with the existing model. From the evaluation of proposed and existing summarization techniques, the proposed model attains better text summarization than the existing model. Thus, the hybrid approach for automatic text summarization using the TextR-BLG pointer algorithm performs better by handling out-of-vocabulary words than the existing text summarization techniques.
This paper considers the relationships between the evolution of the movie industry and the economic development of Russia. Methods of information analysis based on scientometric and statistical indicators are applied. Scientometric indicators include an analysis of the growth (decline) rate in the number of publications in dynamics over several years; publications of Russian authors in Russian and foreign journals (territorial coverage); the most popular journals, where authors prefer to publish the results of their studies; author affiliations; and other considerations. To provide information support for decision-making, trends in statistical indicators are analyzed and, additionally, the level of their correlation is checked. To assess the relationships, matrices of paired correlation coefficients are formed that allow determining the strength and stability of the correlations among the indicators from 2010 up to 2021. It is concluded that almost all of the considered tools in the field of cinematography influence both the social sphere and the economic development of the country in general. However, this dependence is not unidirectional. In this respect, economic development directly affects the steady growth of indicators characterizing the development of Russia’s cultural industries. It is critical to these industries to ensure the reproduction and growth of highly skilled personnel and adopt cutting-edge technologies and innovations. As shown by the analysis, this adoption includes the use of the internet.
This study considers the ambitious tasks of China’s information policy. The structure of China’s research and development and its management and financing issues are considered. It is noted that, in China, enterprises are the main investors in research and innovation activities. The key information resources of China’s scientific and industrial sectors are shown, as well as the basic elements of the information infrastructure of the research and industrial sector. Actual and comparative data are provided. Some significant negative factors that may impede the accelerated development of China’s economy are considered.
The main means of providing access to the results of scientific research are considered. The reasons for the unavailability of scientific publications to scientists are analyzed, the process of the formation of the idea of open access is described, and the current state of affairs regarding the publication of scientists’ achievements in open access is reviewed. The study analyzes statistics that clearly demonstrate the main trends in the field of scientific communications on a global scale.
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