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EVALUATION OF THE BASIC PROFILE OF IT SPECIALISTS TRAINING IN THE FRAMEWORK OF NETWORKING INTERACTION OF HIGHER EDUCATION INSTITUTIONS
Bulletin D. Serikbayev East Kazakhstan Technical University. 2022. No. 4. P. 188–198.
This research paper presents the results of the basic component structure of the educational program study, which is a prerequisite for the creation of a joint educational program within the network of universities. One of the most important components of technical areas development is the educational content of the program, its relationships with the forming competencies of students. "Educational content - competencies of students" system provides effectiveness and accordance with the demands of the consumer services market and employers, which are the priority task for technical universities today. The research paper proposes approaches and ideas for proposed system implementation. The system also takes into account the interest of the students themselves in the content of the educational program, which is the solution of the "Educational Content – students" system. The authors emphasize that project-based education, as the core of the educational program, has a practice orientation and applied significance in solving professional problems in the field of data processing and data analysis for healthcare and pharmacology, calculation of optimal designs in biomechanics, and ballistic design of space missions. The obtained results on the evaluation of the basic profile justify that only a potent basic portfolio of a graduate can ensure successful project-based education and mastering the core portfolio of a graduate.
Switzerland: Springer Cham, 2026.
This volume gathers selected, peer-reviewed contributions presented at the 19th Conference of the International Federation of Classification Societies (IFCS 2026), held on 14–16 July 2026 in Milan, Italy. Reflecting the volume’s motto, Navigating Complexity – Statistical Methods, Data Analysis, and Machine Learning for Actionable Insights, the papers showcase modern methodologies and real-world applications designed to extract ...
Added: September 25, 2026
Kraevskiy A., Sokolovskiy E., Prokhorov A., Emerging Markets Review 2026 No. 74 P. 1–19
Financial markets of emerging economies are vulnerable to extreme and cascading information spillovers, surges, sudden stops and reversals. With this in mind, we develop a new online early warning system (EWS) to detect what is referred to as ‘concept drift’ in machine learning, as a ‘regime shift’ in economics and as a ‘change-point’ in statistics. ...
Added: September 25, 2026
Дубич Е. В., Schagin D., Славянский форум 2026 № 2 (52) С. 560–565
The paper compares HTTP/2 and HTTP/3 for static resource transfer under software-simulated network degradation. The experiment shows that HTTP/3 is not universally faster, but it is more stable as latency and packet loss increase. ...
Added: September 25, 2026
Joulitov A.K., Lomazova I.A., Proceedings of the Institute for System Programming of the RAS 2026 Vol. 38 No. 4(2) P. 215–224
In process mining, DFG (Directly-Follows Graph) models are popular due to their simplicity and clarity. However, if a process is acyclic but contains concurrent events, standard algorithms for discovering DFG models can generate "fake" cycles that do not actually exist in the event log. These cycles hinder the analysis of information processes, significantly reducing the ...
Added: September 24, 2026
Добрина Д. Н., Nesterenko A., Прикладная дискретная математика. Приложение 2026 № 19 С. 151–159
Работа содержит результаты формального анализа криптографических механизмов, входящих в состав проекта методических рекомендаций «Защищенный универсальный протокол передачи данных и управления микросхемой интеллектуальной карты» (протокол SECUNDA). Получена формальная модель и перечень трудноразрешимых математических задач, трудоёмкостью решения которых можно оценить стойкость используемых криптографических механизмов. ...
Added: September 24, 2026
I.I. Sergeev, I.A. Lomazova, Modeling and Analysis of Information Systems 2026 Vol. 33 No. 3 P. 394–419
Object-centric process mining has emerged as a powerful paradigm for analyzing event data involving multiple interacting business objects. Existing discovery techniques often rely on object-centric Petri nets with fixed arc multiplicities, limiting their ability to represent parametric resource consumption and production patterns and to capture quantitative dependencies between interacting object types. In this paper, we ...
Added: September 24, 2026
Ivan Bulychev, Savchenko A., AI 2026 Vol. 7 No. 9 Article 380
Recent advances in large language model (LLM) agents have shown promise for autonomous decision-making in recommender systems. However, existing approaches suffer from two fundamental limitations: flat agent memories that conflate different information modalities and prohibitive computational costs that prevent scaling beyond a few hundred users. We propose Hybrid-GraphRAG, a recommender system that integrates hierarchical agent ...
Added: September 24, 2026
Snegirev A., Sychev S., Futures 2026 Vol. 183 P. 1–22
This study addresses the systemic identification and categorization of risks associated with AI development, arising from tensions between technological evolution and institutional, infrastructural, and economic contexts. Drawing on a constructionist methodology, we interpret technological risks as constitutive elements of expert communities' images of the future. Through in-depth interviews with 100 AI experts, proportionally representing corporate, ...
Added: September 23, 2026
Parshakov P., Paklina S., International Journal of Human-Computer Interaction 2026 P. 1–17
This study examines how emotional tone shapes user preference in human–large language model (LLM) interaction. Drawing on the Computers as Social Actors framework, we treat conversational AI as a social communicator whose affective cues influence user judgments. Using large-scale pairwise preference data from LMSYS Chatbot Arena, we model emotional tone through the Valence–Arousal–Dominance framework and ...
Added: September 23, 2026
Andrabi U., Wadood E., Ojha S. K. et al., IEEE Access 2026 Vol. 14 P. 103358–103375
The emergence of 5G networks, aimed at accommodating diverse service requirements such as enhanced Mobile Broadband (eMBB), Ultra-Reliable Low-Latency Communication (URLLC), and massive Machine-Type Communication (mMTC), has presented significant challenges in radio resource management and network slicing. In dynamic heterogeneous network systems, traditional heuristics and mathematical programming methods find it challenging to attain scalable multi-objective ...
Added: September 23, 2026
Paklina S., Parshakov P., Elena Rapoport, Scientometrics 2026 P. 1–26
Generative artificial intelligence has become a routine part of academic writing. While much of the debate has focused on questions of integrity and authorship, less attention has been paid to how AI-assisted writing may affect research evaluation itself. This paper asks a straightforward but important question: does the use of LLMs in academic writing change ...
Added: September 23, 2026
Kertesz-Farkas A., Acquaye F. L., Journal of Proteome Research 2026 Vol. 25 P. 3764–3768
Ultimately, most tandem mass spectrometry (MS/MS) proteomics experiments aim to not just detect but also quantify the proteins in a given complex sample. Here, we describe an extension to the Crux MS/MS analysis toolkit to enable label-free quantification of peptides. We demonstrate that Crux’s new quantification command, which is modeled after the algorithms implemented in ...
Added: September 23, 2026
Maddalena L., Yildiz B., Del Vecchio Blanco F. et al., Risk Analysis 2026 Vol. 46 No. 4 P. 1–26
Heated tobacco products (HTPs) are marketed as alternatives to conventional cigarettes with a potential reduced risk profile. Yet, their actual impact on cancer and noncancer disease risk remains uncertain and requires rigorous quantitative assessment. In this study, we develop a unified and transparent computational framework for toxicological risk assessment of HTPs, integrating chemical emissions data ...
Added: September 22, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 3 P. 855–862
Tasks related to the automation of medical data processing are becoming more urgent. Particular attention is paid to systems for monitoring and analyzing human physiological parameters. Such systems often use specialized sensors to capture biomedical images, such as infrared cameras. This article describes our study of the problem of segmenting the eye pupil and iris ...
Added: September 21, 2026
Aleksei Samarin, Nazarenko A., Alexander Savelev et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 3 P. 844–854
Improving image quality is becoming an increasingly popular task, especially when working with mobile devices. One common approach to image enhancement is the use of convolutional neural networks. However, to achieve good results, such networks must be large enough, otherwise there is a risk of unwanted artifacts. In addition, large convolutional neural networks require significant ...
Added: September 21, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Optical Memory and Neural Networks (Information Optics) 2024 Vol. 33 P. 424–434
This study explores the development of classifiers for microbial images, specifically focusing on streptococci captured via microscopy of live samples. Our approach uses AutoML-based techniques and automates the creation and analysis of feature spaces to produce optimal descriptors for classifying these microscopic images. This technique leverages interpretable taxonomic features based on the external geometric attributes ...
Added: September 21, 2026
Aleksei Samarin, Aleksei Toropov, Alexander Savelev et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 4 P. 1053–1060
This paper presents a novel approach to classification in biomedical imaging, specifically targeting polyp recognition in video endoscopy snapshots. Our method leverages specialized image descriptors to enhance the accuracy and robustness of polyp recognition. By employing these specialized descriptors, we address the challenges inherent in analyzing biomedical images from open datasets. Our approach not only ...
Added: September 21, 2026
Mironova O. I., Голенков А. А., Педагогика и психология образования 2025 № 1 С. 149–178
The article discusses modern approaches to the professional training of specialists working with adolescents demonstrating deviant behavior. Special attention is paid to the analysis of existing educational programs and initiatives to improve the skills of specialists working with deviant adolescents. The article highlights the main problems of training specialists, including the reduction of the practical ...
Added: June 24, 2025
Savinskaya O., Мхитарян Т. А., Социологические исследования 2025 № 4 С. 82–93
The existence of stereotypes at universities that STEM majors are not for women creates an uncomfortable atmosphere and a feeling of outsiders for them. The study examines how women cope with an undesirable sexist environment, finding ways to maintain personal status in the professional community. The article provides an overview of theoretical approaches and empirical ...
Added: May 30, 2025
Гусельникова А. А., Zueva E. L., Вестник социально-гуманитарного образования и науки 2022 № 1 С. 11–20
The article is devoted to the teachers’ Olympiad is defined as a model of additional professional education. Article analyzes major advantages and disadvantages of the model, offers recommendations aiming to improve the Olympiad model. ...
Added: April 6, 2023
Starykh V., В кн.: Объединённая конференция «СПО: от обучения до разработки» : материалы конференции. Переславль-Залесский, 19–22 мая 2022 г.: М.: ООО «Макс Пресс», 2022. С. 46–47.
Russian operating systems are an integral part of the import substitution process. They are actively used in the public sector, where special requirements are imposed on the protection and processing of information, stability and compatibility of systems and applications used. Russian operating systems allow you to implement the full range of tasks without additional investments ...
Added: November 16, 2022
IEEE, 2022.
TELE2022 program includes topics of interest that consist of:
I. Computing & IT Education
Smart classroom, virtual and remote labs, robotics in educational sphere Innovative learning spaces IEEE Standards in the classroom
II. Workplace and Industry-Based Learning
Effective learning activities, innovations, methodologies and practice Adult, lifelong learning and ...
Added: September 1, 2022
Pimonova S., , in: Encyclopedia of Education and Information TechnologiesIssue 1.: Springer, 2020. Ch. 4 P. 27–36.
In recent years, the world has become much more complex and unpredictable. A special acronym “VUCA,” meaning “volatile,” “unknown,” “complex,” and “ambiguous,” has even appeared to describe it. The situation changes unexpectedly and rapidly, the crisis becomes the norm of life, and the rate of change inexorably increases. In modern management, the implementation of projects ...
Added: May 8, 2020
Savitskaya E. V., Профессиональное образование и общество 2016 № 2 (18) С. 182–187
The article demonstrates the importance of financial literacy in the market economy setup and the need to study Personal Finance at various levels of education. It describes the 'learning-by-doing' method of teaching Personal Finance at schools and states the key study objectives. ...
Added: July 3, 2016