Abstract:

The presented web database on experimental homolytic bond dissociation energies in organic compounds is intended for use by a wide range of theoreticians and practitioners in free access. The paper provides a brief overview of the sources of the dissociation energies of bonds of organic molecules, which are calculated theoretically, measured experimentally and estimated from kinetic and thermochemical experimental data, their presentation in the Internet database. A web database on homolytic bond dissociation energies of organic compounds is presented. The reported bond dissociation energies are calculated from experimental kinetic and thermochemical data. Descriptions of experimental data sources, classes of organic compounds and calculation methods are given. The logical structure of the database and the description of the main fields of its tables are given. The main search form of the database interface is presented and an example of a search result for a specific organic compound is given. Bond dissociation energies are calculated at a temperature of 298.15 K, which is usually absent in most sources. The analogs of the present base are inferior to the latter in taking into account temperature correlations. Currently, work is underway to analyze and analyze the published data taking into account the entropy effects.

Abstract:

The main purpose of this work is to explore new opportunities for organizing natural language queries in scientific local databases that are not relational. A brief review of recent research shows that there has been an active introduction of natural language queries into databases of various types, and the use of machine learning methods, such as neural algorithms, is noted. The widespread use of large language models in the last two years for query generation in various language settings and fields of expertise has been demonstrated. A study has been conducted to explore the potential of the AllegroGraph graph database in using large language models for natural language search. The functionality of the database has been examined using the example of a metadata system for thermophysical properties in the form of the "Thermal" domain ontology. Testing search queries in a bilingual (English and Russian) database environment has revealed some general problems that can be overcome, and it gives us good hope for the future application of new services using large language models.

Abstract: The architecture of the Binary star DataBase (BDB) being constructed in the Institute of astronomy of the Russian Academy of Sciences is described. The purpose of the BDB creation is to join the comprehensive information on binary stars of all observational and evolutionary types originated from a variety of catalogues and databases of binary and multiple stars, as well as to make a convenient tool for work with these catalogues data. We consider the main problems arising in the process of BDB implementation, the methods of gathering information of original catalogues, as well as the schemes of cross-identification of the objects. The BDB is realized on the basis of the Nagare framework (stackless Python/SQLAlchemy/Elixir) and of the Postgresql database management system, its beta-version is available at http://bdb.inasan.ru.

Abstract: The observatory archive system includes a digital data storage and a search information system (SIS) with a dynamic web-based interface and http data access. To date, the system includes 16 digital collections of observational data (local archives), obtained on different instruments, operating or working on the telescopes. The earliest data refer to the end of 1994. There are currently actively replenished 6 local archives. The data storage includes a temporary storage area, located on a file server of the 6-m telescope (BTA), and the area of permanent storage. Permanent storage area includes CD / DVD-discs, a hard disk of the dedicated archive server and also a large capacity flash disk. For data protection during emergency situations or I/O defects of disks, we provide two full copies of the CD / DVD disks and two copies of the archive data on the hard disk of the archive server. One copy (A0) repeats optical discs, the other (A1), with the slightly modified directory structure, actually used by the SIS. D igital media devices and read-write data drives can not be attributed to long-term storage devices. For long-term storage of digital data it is necessary to provide rewriting of information every 5-10 years on a new type of media. Archive copies A0 and A1 are also supported for this procedure of rewriting. Archival data (A1) is repeated on a flash disk with the addition of a dump of tables and programs. There is the system backup for restoring after an emergency on the server. To ensure the modernization of the SIS, we support the two schemes of the database - test and operational. All our developments take place in the test database schema. When modifying the scheme after its checking the SIS switched to an updated version of the database. The original copy of the A0 and the availability of test database scheme allow to modernize the SIS, even at the level of the tables. Currently, the SIS implemented on DBMS PostgreSQL 8.3.7.

Abstract:

A method for building end-to-end management accounting in a division of the Bank’s subdevision specializing in working with non-core assets is proposed. Has been proposed the process approach, an algorithm for building a database for the formation of key performance and control indicators.

Has been described the key stages of the department's work, the attribute composition of entities (set) arriving, enriched and transmitted at each stage of the department's work. By modeling the process has been built a role model, access and editing rights for employees. Data sources (reference books) for optimization and unification of the process of filling the database (tuple) are proposed. A method of accessing the database in the Power Query Microsoft Excel add-in is proposed, which allows you to collect data from files of all basic data types, process and refine the received data. In the interactive programming environment Jupyter Notebook, mathematical and financial models for data analysis (logistic regression, decision tree and discounted cash flow method) were built based on data in order to predict costs, the timing of asset exposure and make a decision on the optimal cost of putting property on the Bank's balance sheet and selling price. Based on ready-made libraries (matpotlib, seaborn, plotly), options for data visualization for management are proposed. Using the example of the Bank's division, the author describes the positive effects and opportunities that open up to the management of different levels in solving day-to-day tasks and planning the activities of the division. A technical task was proposed for the development of a showcase for the sale of non-core assets on the Bank's website as an environment for the accumulation of external data for making flexible management decisions.

Abstract:

In accordance with the requirement of the Higher Attestation Commission (HAC), journal issue data from the List of Peer-reviewed scientific publications in which the main scientific results of dissertations for the degree of Candidate of Sciences and for the degree of Doctor of Sciences (HAC List) have been regularly published in the Russian Science Citation Index (RSCI) in the bibliographic database eLibrary.ru for more than 20 years. In March 2023, the editorial offices of journals from the HAC List, in accordance with the recommendation of the HAC, have post data of 2022 year issues in the Russian Scientific Journals database (RSJ) created by the Russian Scientific Research Institute RIEPP. In April 2025, by order of the Ministry of Science and Higher Education of the Russian Federation, a new requirement was added — for a journal from the HAC List, along with registration in the RISC eLibrary.ru, registration in the Information System (IS) “Metaphora”, developed by the Russian Center for Scientific Information, is required. Journals from the HAC List are recommended to regularly transfer metadata of published issues of journals to the “Metaphora” through specially organized interfaces. What role do the RSJ and “Metaphora” databases play in the infrastructure of scientific publications?

In addition, according to commission of the Government of the Russian Federation, the Russian Center for Scientific Information performs the function of the operator of the “White List” of scientific journals. The “White List” in 2023 was formed by the Interdepartmental Working Group (IWG) of the Ministry of Education and Science of the Russian Federation. The "White List" is supposed to be used to monitor and evaluate the publication activity of Russian scientists. The "White List" currently includes about 29,000 English-language international journals and about 1,000 Russian-language journals from the Russian Science Citation Index (RSCI) database. In 2025, the Russian-language part of the "White List" significantly expanded due to the inclusion of journals from HAC List into the "White List". We would like to receive detailed information from the ideologists of the "White List" on how the levels (U1, U2, U3, U4) of the “White List” journals and the categories (K1, K2, K3) of journals on the HAC List will correspond?

Abstract:

Currently, Russian institutions are almost completely disconnected from Western information resources and services related to the publication of scientific journals. In such conditions, the task of replacing the departed services, reorientation to domestic scientific journals, Russian online library resources has become particularly actual. In the largest bibliographic database the eLibrary.ru, focused on Russian-language scientific publications, collected information about almost 15 thousand Russian-language journals. In the eLibrary.ru there is an analytical system "Russian Science Citation Index" that processes metadata of articles from more than 5 thousand Russian scientific journals. Is the eLibrary.ru ready to serve as a national bibliographic database? For what reason "white lists" of journals appear in Russian organizations?

The main problem of the RSCI is the quality of the constructed ratings of scientific journals. The methods of calculating ratings over the past years have caused certain criticisms. The paper provides an example of a rating of journals from the section "Mathematics" built in the RSCI. Journals that are little known among professional mathematicians were in the first positions. Serious deformations in the ratings of the eLibrary.ru undermine the confidence of scientists in the assessments of the credibility of Russian journals proposed by the eLibrary.ru. The reaction of some universities and scientific organizations is quite expected: organizations are beginning to introduce their own criteria for the success of the publication activities of employees associated with the publication of articles in journals from the so-called "white lists". The white list of journals is compiled, as a rule, by the expert councils of the organization specifically for each discipline and scientific direction. Scientometric indicators may be taken into account when compiling white lists, but they are not the primary criterion for the selection of journals. White lists can now become a reasonable addition to the ratings of bibliographic databases.

Abstract: The task of forming a digital space of scientific knowledge (DSSK) is analyzed in the paper. The difference of this concept from the general concept of the information space is considered. DSSK is presented as a set containing objects verified by the world scientific community. The form of a structured representation of the digital knowledge space is a semantic network, the basic organization principle of which is based on the classification system of objects and the subsequent construction of their hierarchy, in particular, according to the principle of inheritance. The classification of the objects that make up the content of the DSSK is introduced. A model of the central data collection system is proposed as a collection of disjoint sets containing digital images of real objects and their characteristics, which ensure the selection and visualization of objects in accordance with multi-aspect user requests. The concept of a user collection is defined, and a hierarchical classification of types of user collections is proposed. The use of the concepts of set theory in the construction of DSSK allows you to break down information into levels of detail and formalize the algorithms for processing user queries, which is illustrated by specific examples.

Abstract: The article is devoted to creating a quick method of comparing a huge amount of data tables in relational database management systems. Creating an effective method for comparing relational systems is really relevant today. The study of existing solutions was conducted. The algorithm in this article was created using the probabilistic data structure «Countable Bloom filter» and the Monte Carlo Method. The proposed solution is unique in its direction, as it uses the least amount of temporary resources. A probabilistic model of the created algorithm is constructed, this algorithm can be used for parallelization.

Abstract: The paper is presents approaches to solving the problem of creating realistic interactive 3D web-collections of museum exhibits. The presentation of 3D-models of objects based on oriented polygonal structures is considered. The method of creating a virtual collection of 3D-models using interactive animation technology is described. It is also shown how a full-fledged 3D-model is constructed on the basis of individual exposure frames using photogrammetry methods. The paper assesses the computational complexity of constructing realistic 3D-models. For the creation of 3D-models in order to provide them to a wide range of users via the Internet, the so-called interactive animation technology is used. The paper presents the differences between the representations of full-fledged 3D-models and 3D-models presented in the form of interactive multiplication. The technology of creating 3D-models of objects from the funds of the State Biological Museum named K.A Timiryazev and the formation on their basis of the digital library “Scientific Heritage of Russia” of a virtual exhibition dedicated to the scientific activities of M.M. Gerasimov and his anthropological reconstructions, and vividly demonstrating the possibility of integrating information resources by means of an electronic library. The format of virtual exhibitions allows you to combine the resources of partners to provide a wide range of users with collections stored in museum, archival and library collections.

Abstract: В статье представлен подход к разработке базы данных двойных звезд (Binary star DataBase, BDB). Она включает в себя информацию о физических и астрометрических параметрах двойных и кратных звезд различных типов, полученную из астрономических каталогов и обзоров. Рассматриваются требования к создаваемой базе, связанные с особенностями астрономических данных и объединением в одной базе данных информации из неоднородных информационных ресурсов. Описаны процессы формирования концептуальной схемы предметной области двойных звезд и преобразования данных каталогов к терминам концептуальной схемы. Предложены подходы решения научных задач в терминах концептуальной схемы предметной области.

Abstract:

The tool for building ratings of scientific journals is one of the popular services of bibliographic databases. The task of building a rating is usually divided into two main subtasks: determining the reference group of journals and calculating the rating indicator for journals of this reference group. Practice shows that for the correct comparison of journals, a necessary condition is to limit the reference group to exclusively journals of a certain subject. In the case of methodological errors made at the stage of selecting a reference group, the values of the journal index in the rating may differ greatly from the expected ones.

For example, in the ranking of journals in the Russian Science Citation Index (RSCI) according to the two-year impact factor in the thematic area “Mathematics”, classical fundamental mathematical journals, contrary to expectations, do not reach the first positions of the rating. The first positions were taken by journals for which mathematics is not the dominant profile discipline. Analysis of statistical data on the subject of published articles and citations in journals that occupy leading positions in the RSCI rating shows that the multidisciplinary nature of these journals significantly influenced the rating indicators.

The noted misunderstanding leads to the idea that in this case, not all the articles of the journal should have been involved in the calculation of the rating, but only those related to this thematic area. At the same time, the existing scheme of thematic classification of directions also raises questions. The "bottom-up" classification, which is gaining popularity and works on a representative array of articles, seems to be more promising. Here thematic clusters are isolated on the basis of the concept of proximity of articles, interpreted as the proximity of their bibliographic links. And further, the thematic affiliation of the article is not assigned by the volitional decision of the author or the editorial board, but is strictly formally calculated on the basis of its bibliographic list.

Abstract:

The process of automating the management of the reading operation of related data from relational and non-relational databases is described.

The developed software tool is based on the use of the JPA (Java Persistence API) standard, which defines the capabilities of managing the lifecycle of entities in Java applications. An architecture for embedding in event processes has been designed, allowing the solution to be integrated into projects regardless of which JPA implementation is used. Support for various data loading strategies, types, and relationship parameters has been implemented. The performance of the tool has been evaluated.

Abstract:

Translated plagiarism has widely spread in a scientific world and posed a serious problem due to the challenges in its automatic detection. However, in the last five years some progress has been observed in this area. The authors of this paper, as well as foreign research team from several universities independently of each other proposed an approach to detect plagiarism based on citation analysis with search of initial source for analyzed suspected paper with the same or similar references. Developed methods of detection of illegal use of borrowed text successfully passed several tests. The report shows the results that we have obtained in the last four years.

Abstract:

The List of peer-reviewed scientific journals of the Higher Attestation Commission is gradually turning into a complex information system based on the normative documents of the Higher Attestation Commission, bibliometric data eLibrary.ru, decisions of the expert councils of the Higher Attestation Commission and working groups engaged in the analysis, ranking and categorization of the journals of the List. The Russian Scientific Journals (RSJ) database created by RIEP can become a system that serves the requests of different categories of users related to the topic of dissertation defense. So far, the RSJ has implemented the interface of a representative of the editorial board of the journal and the interface of a member of the expert council of the Higher Attestation Commission. It is desirable to include in the RSJ an open interface addressed to the degree applicant to verify compliance with the requirements of the Higher Attestation Commission for publications in journals from the List. With the established mutual exchange of data between RSJ and eLibrary.ru, the applicant's interface with the designated functionality can be organized in the eLibrary.ru user environment.

Abstract: Modern astronomy experiences a rapid increase of data being acquired in obser-vations or in numerical simulations. Efficient storage and management of these data is a problem as important as the scientific analysis itself. In the article we analyze the reasons behind such an "information explosion" and outline the problems the Virtual Observatory faces due to it – primarily, the development of standards and technologies for accessing the data remotely and in an automated way. We also review the main requirements for modern scientific information such as repeatability of results, versioning, data provenance etc. Obvious solution for long-term storage of such a data is Database Management Systems (DBMS). We discuss how well different kinds of astronomical information – catalogues, spectra, images, time series, simulation results – are compatible to relational model of most popular DBMSs and formulate requirements for specia-lized systems which are optimal for storage and analysis of scientific data.

Abstract: This article considers approach to intelligent search of complex objects in different types of texts with structural markup which can be used for Big Data processing. We research two types of data entry: relational databases, which use their schemes as structural markup, and full-text scientific documents containing mathematical expressions (formulae). For such full-text documents we suggest additory automated markup to allow formula search. In both cases we use natural language texts, which are semistructured data, as data source for building ontology and conducting search at a later stage. For relational databases those are comments to table and table attribute names; for scientific documents (articles, monographs, etc.) it is a text content of marked up documents.

Abstract: When studying natural and artificial objects using satellite technology spectral data containing information on the distribution of reflecting / emitting properties of physical objects and materials by wavelength are of great importance. It should be noted that the prompt receipt of necessary spectral data from the above mentioned sources is usually the problem. This paper describes an approach to the development of the Bank of the spectral data that has advanced features that enable to realize not only the inquiry and search procedure, but rather a wide range of computational and applied procedures related to the spectral data and their attributes. Based on a systematic analysis of the subject area and the relational database model, a scheme, implemented by means of MS Access. A simple scheme of integration the database in the e-Infrastructure of permanent access to scientific resources of remote sense data is offered.

Abstract:

This article is devoted to the study of the possibilities of optimizing the operability and improving the efficiency of complex multifunctional software systems using the example of free automated library and information systems (hereinafter - ALIS).

By 2023, the world has accumulated valuable experience in the creation and operation of integrated ALIS of various scales and purposes, but the issues of improving their design solutions remain relevant. First of all, this concerns the need to optimize the structure of the source code in order to increase its readability and maintainability, reduce the execution time of individual functional modules, and reduce the amount of RAM used.

As part of the study, a comparative analysis of the source codes of several existing open source databases implemented in various programming languages was carried out. The main approaches to the design of the code structure were studied, the most frequently used algorithms and patterns were identified. To assess the degree of optimization of the source code, a set of indicators was developed, including an assessment of the structure, readability, modularity and other characteristics. On this basis, individual code fragments were compared before and after the use of well-known refactoring techniques.

As a result of the work carried out, it was possible to identify the most common errors and shortcomings in the structuring of the source codes of the ALIS, to determine the main directions of their optimization. Data has been obtained on the possible reduction of testing and technical support costs by improving the quality of source codes.

Abstract:

The methods of information and analytical support of examination of scientific and technical projects within the Federal Target Program «Researches and developments in priority directions of scientific and technological complex of Russia for 2014–2020» are discussed. The results of a poll of independent experts in the assessment of effectiveness of the specified support are presented. 

Abstract:

Subject ontology in the context of this article is understood as a set of key concepts related to a certain field of science, with their semantic connections, supplemented by indexes of various classification systems describing this scientific field. Subject ontologies are a necessary component of each subspace that is part of the Unified digital space of scientific knowledge (DSSK). This article presents the results of research related to the construction of subject ontologies based on the created automated system for supporting terminological dictionaries and suggests a methodology for identifying new key terms in a particular field of science. The proposed methodology is based on the use of existing classification systems in conjunction with citation databases, such as Web of Science and Scopus for English–language publications and the Russian citation index for Russian-language publications. The methodology involves dividing the scientific field into a number of sections in accordance with the selected classification system, extracting from the CSB the core of articles related to each section, and from the articles - new author's keywords, which should constitute, in combination with the corresponding sections of classification systems, the basis of the subject ontologies of this scientific field.

Abstract: Digital Archives deal with digital copies of documents, photo, video, audio etc. Traditional form of digital document’s structuring is database based on metadata fields like Dublin Core. A new approach for digital archiving is presented in this paper. This approach consists from two parts: structuring not only documents, but also joint important information and second – following ideas and standards of Semantic Web to provide integration and interoperability of local domains of archive data. A platform solution was designed to support the approach. Several applied systems oriented on accumulation of historical documents and facts were build.

Abstract:

This paper presents a brief overview of popular domestic OS distributions developed as part of the implementation of import substitution tasks in the field of software and telecommunications. One of the solutions for the transition from CentOS to RED OS is presented for a High Availability cluster based on Pacemaker and the DRBD distributed file system, which ensures the operation of the organization's website and MySQL database server.

Abstract:

Digital resources of Karelian Research Centre of RAS (KarRC RAS) related to digital libraries, repositories and search systems are described in this paper. These resources devoted to the gathering, organization and dissemination of scientific and technical information (scientific papers, archival documents) in order to use this information in theoretical and applied researches. The stages of development of these resources in connection with the history of the Karelian Research Centre of RAS subdivisions (Scientific library, Scientific archives) are presented. Future directions for the development of these resources outlined. This work is being licensed under the Creative Commons Attribution-ShareAlike 4.0.

Abstract:

One of the Common Digital Space of Scientific Knowledge (CDSSK) main components are the subject ontologies of individual thematic subspaces, which include the basic concepts related to this scientific area. The constructing subject ontologies task at the initial phase requires the array of key terms formation in a given scientific are with the subsequent establishment of links between them. A similar task is in the encyclopedias formation in terms of the articles (slots) list generating that determines their content. One of the sources for the formation of the key terms array can be the metadata of articles published in the leading scientific journals. Namely, the author's key terms ("keywords" in the terminology of the journals editors) quoted by the article. To make a conclusion about the possibility of using this approach to the subject ontologies formation, it is necessary to conduct the author's key terms array preanalysis, both in terms of real correspondence to the main areas of research in this science branch and in terms of the distribution of the certain terms occurrence frequency. This article presents the results of the occurrence frequency analysis of the author's key terms in Russian and English, carried out on the software processing basis of several thousand articles from leading Russian journals in mathematics, computer science and physics, reflected in the MathNet database. An assessment was made of the distribution of key terms correspondence (as phrases) and individual words to the Bradford's law, and the key terms cores within the thematic direction were identified.