Headings of the journal
"Educational Resources and Technologies"

Annotation: The aim of the research is to determine the specifics and pathways of developing national identity of future foreign language teachers in the context of a multicultural environment at a language university, considering the modernization of higher education within the framework of the 3++ standard in the field of “Philology’’. The research is based on the postulate that the study of a foreign language can influence the development of national identity at the individual level, as in some cases it can form a competing national identity and lead to an imbalance in value hierarchy. The authors propose a system for developing national identity in students at a language university within the context of foreign language education and intercultural approach. This system encompasses the following elements: 1) a rational understanding of cultural material and critical thinking, 2) the forming of a sense of involvement in regional and local community issues, 3) the creation of patterns of civic behavior and intercultural communication. The necessity of mobilizing the cultural and linguistic experience of students is emphasized to prepare them for dialogue with representatives of equal cultures and to prevent intercultural conflicts.

Annotation: The article explores implicit knowledge in information retrieval. There is a tendency to increase the volume of information, including in information networks. This trend motivates research in the field of information retrieval. An increase in the volume of information leads to an increase in hidden knowledge and information uncertainty. The taxonomy of the reasons for the inadequacy of the search in the information network is given. These reasons are divided into objective and cognitive. The difference between morphological and semantic search is shown. A set-theoretic model for describing the search for information and its results is proposed. Three main types of information retrieval are described. The difference between the search for information and the search for knowledge is shown. The qualitative difference between ontological and traditional information search is shown. The reasons for the appearance of implicit knowledge in practical activities and scientific research are shown. A formal description of the ontological search, including a component of implicit knowledge, is given. The criteria for the presence of implicit knowledge, which can be obtained through an ontological search, are shown. The results of this study contribute to the development of information retrieval methods, ontological search and the identification of implicit knowledge.

Annotation: The article explores the category of “correspondence” in the field of information field and information modeling. The category of “correspondence” has a multifaceted nature of existence in terms of form, content, and relation- ships between objects. Correspondence can be a function, an image, a computational or logical operation, a way of transmitting information units, etc. Correspondence can be considered as a relationship, as a property between two entities, as a result of comparing information objects, as an assessment of the results of an infor- mation search. Correspondence can be procedural, semantic, morphological, structural, etc. Different types of correspondence determine the relevance of its research. The article presents a systematics of correspondences according to formal and applied features. The content of the correspondences of formal and applied meaning is revealed. Generalized properties of the category “correspondence” and its complement “nonconformity” are presented in terms of set theory and mathematical logic. The difference between full and partial correspondence is shown. It is shown that an important category of correspondence is ontological correspondence, which al- lows the formation of knowledge, and information correspondence, which is a composite correspondence in the information field. The developed foundations of the theory of correspondence between information objects are aimed at expanding and clarifying the formalized procedures of information retrieval and information modeling, and identifying implicit knowledge.

Annotation: The article describes and suggests a mechanism for upgrading complex systems based on regeneration technology. A new concept of “component complex system” is introduced in order to highlight the high level of complexity of systems and the use of special update technologies. The article provides a systematics of component complex systems. The difference between independent component renewal and regeneration of component complex systems is shown. The conditions for the expedient application of the regeneration mechanism for component complex systems are described. When regenerating a complex system, the main criterion is the criterion of the quality of its functioning. The standards GOST R ISO/IEC 25010-2015 and ISO/IEC 25010:2011 were chosen as the basis for compliance with this criterion. These standards are based on the model of a component trinitarian system. The article provides a formal description of the information component of a complex system and a description of the procedure for its regeneration. For comparison, a formal description of the additive system is given. The research results provide an alternative to reengineering technologies. They can find application in the moderni- zation of information systems and information services, implemented on the basis of modern methods and tools.

Annotation: Traditional models of the recurrent neural network (RNN), such as LSTM (Long Short-Term Memory) and GRU (Gated Recurrent Unit), have long been used for time series analysis, but have limitations in learning on long sequences and high computational requirements. Recent advances in time series forecasting have shown a de- crease in their importance. In this article, a new RNN architecture with linear temporal complexity and lower memory consumption is proposed. During the study, the proposed RNN model was tested and its performance was evaluated for various temporal series analysis tasks. The presented results of the experiment show that the proposed model is superior to modern alternatives. The competitiveness of the model was confirmed by comparison with advanced models such as PatchTST and TimesNet. In addition, the proposed model surpassed the perfor- mance of models based on multilayer perceptrons (MLP) and proved to be more effective than models based on transformers. The proposed RNN architecture may become a promising direction for future research in this field.