Abstract: The article discusses the relevance of quality management of mathematical training of students mastering the program of General and higher education. The characteristic of this process, problems are given, management actions at the level of the organization are designated. The article presents the results of pedagogical research of educational institutions of General and higher education of the Eastern zone of the Orenburg region, obtained in the framework of the research “quality Management in General and vocational education” (state registration number НИОКТР № 01201151519).

Abstract:

This paper explores the potential of generative neural network simulations, focusing on the application of reinforcement learning methods and neural world models for creating interactive worlds. Key achievements in agent training using reinforcement learning are discussed. Special attention is given to neural world models, as well as generative models such as Oasis, DIAMOND, Genie, and GameNGen, which employ diffusion networks to generate realistic and interactive game worlds. The opportunities and limitations of generative simulation models are examined, including issues related to error accumulation and memory constraints, and their impact on the quality of generation. The conclusion presents suggestions for future research directions.

Abstract: The article presents using the van Hiele theory of geometric thinking for the organization of mixed training of students of the pedagogical Department of the N.I. Lobachevsky Institute of mathematics and mechanics KFU on the basis of SPOC course «Elementary mathematics: Plane geometry». Training includes the use of various IT-techniques and tools that can improve the quality of learning and form the necessary professional competence of the future teacher of mathematics. The course implements the technology of project-modular and inverted learning.

Abstract:

The article is devoted to automation of the software design stage. In the course of the study, the reasons for the high importance of this stage and the relevance of its automation were analyzed. The main stages of this stage were also considered and the existing systems that allow automating each of them were considered. In addition, an own solution was proposed within the framework of the problem of class structure refactoring based on the combinatorial optimization method. A solution method has been developed to improve the quality of the class hierarchy and tested on a real model.

Abstract:

The paper examines the phenomenon of joint creativity of several authors, and provides examples from various fields of activity. The main attention is paid to information technologies: inventions made at the end of the 20th century are analyzed. Their authors are pairs of outstanding specialists who combined the talents of a programmer and a manager. They determined the further development of the IT industry and radically changed the quality of mankind’s way of life. The stories of the emergence of famous computers, operating systems, the World Wide Web, and network navigation tools are briefly described.

Abstract: Peer review in the scientific and technical field has more than three hundred years of history and during this time its external forms has changed significantly. Computer technology has influenced the processes of the peer review organizing particularly strongly. The article describes the procedure for the peer review in tenders for funding under the federal target program "Research and development in priority areas of development of the scientific and technological complex of Russia for 2014–2020." The worked out specializing information systems and services using new technological tools for data retrieval and processing enable the reviewer evaluate the peer review’s object fully and thoroughly. Information support covers all aspects of the peer review organizing and the expert’s activities. The procedure for peer review organizing, established at the Directorate of Scientific Technical Programs, and its informational and analytical support ensure the functioning of an independent scientific and technical examination system and allow to organize peer review in large quantities, in a short time and with minimal costs.

Abstract:

Issues related to improving the quality of metadata of scientific publications placed in the Crossref bibliographic database are considered. All information contained in metadata obtained from publishers of scientific publications, Crossref analyzes and displays in various reports. The reports give publishers an idea of the completeness and correctness of the bibliographic data provided. The quality of metadata directly or indirectly affects the number of views and links to a publication, respectively, on the ratings of scientific publications, authors and organizations.

Abstract:

The enrichment of educational texts with semantic content (in particular, adding hyperlinks to the pages of the service that displays detailed information about concepts in the text) helps to increase the efficiency of students' assimilation of the material. The existing methods of semantic markup of educational texts do not take into account the structural features of such documents, which leads to excessive recognition of concepts. This article describes the development of the method of automatic annotation of mathematical concepts in educational mathematical texts by adding functionality to account for the structure of an educational document. The main purpose of the method is to process educational materials of the distance education course "Technology for solving planimetric problems". Following a single template when creating course pages allows you to apply an analysis of the web page markup and keywords used by the course creators. The main task in this process is to determine the type of table cell containing text fragments of educational materials. In accordance with the recommendations of the course creators, definitions should be highlighted in the cells containing the task statement, as well as in those blocks where the input data of the task is indicated. The type of table cells is determined by analyzing their attributes and searching for keywords in their contents. This limitation of recognizable text fragments will improve the student's perception of the course pages and improve the quality of learning.

Abstract:

The construction of the schedule is the distribution of a discrete set of events in a given time interval, subject to the specified restrictions. The aim of the work is to describe a mathematical model of the automation of the scheduling process in an educational institution. Also the approaches to the compilation of the optimal schedule are considered. In the studied tasks a large amount of initial original information is used, which differs in its composition, and contains a large number of requirements that must be taken into account. Therefore, scheduling refers to the class of NP-complete integer programming problems, which implies that as the number of values of given variables increases, the complexity of the solution will grow exponentially. Note that the quality of the established lesson schedule directly affects the efficiency of the educational process of the university.

The article describes the process of forming the schedule of classes: at the first stage, you need to create an initial schedule based on the existing student contingent and teachers, audiences, as well as a number of additional restrictions; at the second stage, the initial schedule is optimized; at the third stage, it is allowed to adjust the received schedule by university staff.

Abstract:

The article is devoted to the typology of the main variants of video lectures (https://vimeo.com/showcase/6184718), which differ in didactic value and laboriousness of creation. For each option of video lectures, the key conditions for effective formation and use are determined. Particular attention is paid to the optimization of hardware for the creation of various options for video lectures in full-time and distance learning.

As a basic option, a video recording of a PowerPoint presentation with speech and graphic comments on the slides is considered. The screen (electronic board) videorecording on the left with the lecturer in profile, named ad standard profile version, is recommended for use when there is a shortage of space in the classroom. In the presence of a video camera with optics that ensure the preservation of the detail of images of visual materials, the preferred option for video lecture is a standard frontal one, filmed from the far end of the audience. Didactically optimized editing of video lectures allows you to combine high-quality recording of visual materials of the basic version with mediocre video recordings of the teacher's actions.

Integrative versions of video lectures are created by overlaying the video recording of the teacher's actions over a specially designated invariant place in the design of the slides of the basic version of the video lecture. The options for adapting the design of PowerPoint presentations to form a basic and integrative version of video lectures are proposed. The highest ratio of "didactic quality / labor costs" is achieved when creating integrative video lectures directly in the process of face-to-face and distance teaching.

Abstract:

The paper is devoted to the development of an expert system for diagnosing pneumonia based on fuzzy logic and implemented using the Mamdani algorithm. The paper discusses the main stages of the system development, including fuzzification of input data, definition of fuzzy rules based on medical expert knowledge, aggregation of fuzzy inferences and their defuzzification to obtain the final diagnostic result. The web interface of the system is implemented using the Django framework, which ensures ease of interaction for users. The use of a medical expert system for diagnosing pneumonia can reduce the time required to establish a diagnosis and improve the quality of diagnosis by integrating the experience of medical experts and modern information technologies.

Abstract: The variety of connected toys currently offered on the market, based on publications in Western scientific literature and the media, is being considered. A list of parents' safety requirements for toys purchased for their children is given. Expectations on interaction between manufacturers and products consumers are presented. Recommendations for parents on buying and using Internet toys are presented.

Abstract:

Model robustness to minor deviations in the distribution of input data is an important criterion in many tasks. Neural networks show high accuracy on training samples, but the quality on test samples can be dropped dramatically due to different data distributions, a situation that is exacerbated at the subgroup level within each category. In this article we show how the robustness of the model at the subgroup level can be significantly improved with the help of the domain adaptation approach to image embeddings. We have found that application of a competitive approach to embeddings limitation gives a significant increase of accuracy metrics in a complex subgroup in comparison with the previous models. The method was tested on two independent datasets, the accuracy in a complex subgroup on the Waterbirds dataset is 90.3 {y : waterbirds;a : landbackground}, on the CelebA dataset is 92.22 {y : blondhair;a : male}.

Abstract:

One way to evaluate the scientific activity of a scientist is to calculate various indicators based on the number of his publications and their citation. In this case, each co-author of the publication receives the same number of points for it. A similar ranking method leads to an artificial increase in the number of co-authors in our publications. This leads to a distortion of ratings, and to a significant decrease in the quality of thematic search. The method presented in the paper allows us to evaluate the contribution of the author to his published works. Approbation of the method was done on the data of the scientometric system IAS ISTINA.

Abstract:

The paper describes our approach to the task of sentiment analysis of tweets within SentiRuEval – an open evaluation of sentiment analysis systems for the Russian language. We took part in the task of sentiment analysis of Russian tweets concerning two types of organizations: banks and telecommunications companies. On both datasets, the participants were required to perform a three-way classification of tweets: positive, negative or neutral.

We used various statistical methods as basis for our machine learning algorithms. Linguistic features produced by our morpho-syntactic analyzer are applied to the classification. Syntactic relations proved to be a crucial feature for any statistical method evaluated, and SVM-based classification performed better than the others. Normalized words are another important feature for the algorithm.

The evaluation revealed that our method proved to be rather successful: we scored the first in three out of four evaluation measures.

Abstract: The translation of the school system of knowledge into a formal language to create an ontology of school educational mathematics showed that there are gaps indicating significant shortcomings in the design of the contents of the geometry course. A study among students of N.I. Lobachevsky Institute of mathematics and mechanics of KFU to determine the quality of understanding of generic concepts, graphic representations of geometric figures, the results of which showed the relationship between the problems in the presentation of the content of the school course of Plane geometry and the quality of students' knowledge.

Abstract: Currently, there are a huge number of works dedicated to semantic role labeling of English texts [1–3]. However, semantic role labeling of Russian texts was an unexplored area for many years due to the lack of train and test corpora. Semantic role labeling of Russian Texts was widely disseminated after the appearance of the FrameBank corpus [4]. In this approach, we analyzed the influence of the word embedding models on the quality of semantic role labeling of Russian texts. Micro- and macro- F1 scores on word2vec [5], fastText [6], ELMo [7] embedding models were calculated. The set of experiments have shown that fastText models averaged slightly better than word2vec models as applied to Russian FrameBank corpus. The higher micro- and macro- F1 scores were obtained on deep tokenized word representation model ELMo in relation to classical shallow embedding models.

Abstract:

Cross-lingual entity alignment algorithms are designed to look for identical real-world objects in multilingual knowledge graphs. This problem occurs, for example, when searching for drugs manufactured in different countries under different names, or when searching for imported equipment. At the moment, there are several open-source libraries that collect implementations of entity alignment algorithms as well as test data sets for various languages. This paper describes experiments with several popular entity alignment algorithms applied to a Russian-English dataset. In addition to translating entity names from Russian to English, experiments on combining the various generators of entity name embeddings with the various generators of relational information embeddings have been conducted. In order to obtain more detailed information about the results of the EA approaches, an assessment by entity types, the number of relationships and attributes have been made. These experiments allowed us to significantly improve the accuracy of several EA algorithms on the English-Russian dataset.

Abstract: It is shown that trust in the content of information resources can be assessed by means of a publishing criterion, with the information recourses being of the trusted and distrusted type. The task of assessment of trust consists of four subtasks: (1) building multisets of physical quantities available in primary data sources, (2) alignment of values of physical quantities, (3) formulation of quantitative restrictions for publishing criterion in different ranges of change of physical quantities, and (4) decomposition of expert data. Spectral data publishing criteria and restrictions required for solving data alignment tasks are outlined. Alignment results have been tabulated. Using vacuum wavenumbers as an example, restrictions inherent in publishing criteria are formulated. The assessment of the content trust obtained from solutions to the tasks of decomposition f expert data are presented as the OWL-ontologies. Building knowledge bases of this kind at virtual data centers intended for data intensive science will provide realization of an automatic selection of spectroscopic information resources exhibiting a high degree of trust.

Abstract: Possibilities of query expansion with subject area thesaurus are discussed. The role of the context defined by thesaurus term links is both to refine the query and to increase the size of the sample on the query. Of particular importance is the process of expanding the query for scientific subject areas where the search based on special terminology. In this case, thesauruses of subject areas must be used to minimize the occurrence of information noise. The proposed approach takes into account the application of similar terminology in various subject areas. Examples of the use of thesaurus of separate sections of equations of mathematical physics and related fields demonstrate the effectiveness of the chosen approach of research. By linking to concepts of information resources of other areas of knowledge, the extension of the information query captures search fields of remote subject areas and various types of data, texts, symbolic, audio and video archives. Research shows that expanding the query based on context semantics improves the search quality of scientific publications in digital information and increases the effectiveness of scientific interdisciplinary research.

Abstract:

The experience of game studios shows that classical methodologies of software development are poorly implemented in video game development because of the interactive component of this area, related to the correct creation of feedback between the game and the user. In addition, video game development involves a large number of developers from different areas, whose activities must be coordinated in the project.

Despite these differences, video games, like any other developed software, need a development team organization process. In this article we reviewed traditional software development methodologies, as well as modifications specializing specifically in video game development. The most popular methodologies were compared and the quality of their implementation in video game development studios was determined.