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News
June 4, 2026
Machine Learning Models Can Help Reduce Volatility and Boost Stock Market Returns
The use of machine learning models makes it possible to achieve greater accuracy in predicting risks in the Russian stock market compared to classical econometric approaches. The predictive power of these models increases by 23%, while the average investor’s return can reach up to 13% per annum. These conclusions were drawn by Nikita Lysenok from the Department of Financial Market Infrastructure at the HSE Faculty of Economic Sciences. The paper has been published in Fundamental and Applied Mathematics.
June 3, 2026
Pocket Money, Personal Interest, and Family Practices: What Shapes Students Economic Literacy?
University students' economic literacy depends not only on their field of study but also on their interest in economics, the learning environment, and family financial practices. For example, students who received pocket money irregularly tend to perform better on economic literacy tests than their peers who received financial support on a regular basis. These findings come from a study conducted by HSE University involving more than 1,100 students from five Russian universities. The findings have been published in Cakrawala Pendidikan.
June 3, 2026
Creative Work as a Remedy for Burnout
The creative, supportive atmosphere and innovative methods at the Centre for Sociocultural Research make it appealing to early-career scholars. Over years of working at HSE University, they grow into researchers and lecturers recognised both in Russia and abroad. Chief Research Fellow Zarina Lepshokova and Leading Research Fellow Ekaterina Bushina spoke about their journey at the centre and at HSE, their research, and the role of mentors in their academic success.

 

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2022 Dynamics of Systems, Mechanisms and Machines (Dynamics)

IEEE, 2022.

2022 Dynamics of Systems, Mechanisms and Machines (Dynamics)

Chapters
Research of the Possibility of Using Educational Chatbots as a Learning Analytics Tool
Varnavsky A., Popov D., , in: 2022 Dynamics of Systems, Mechanisms and Machines (Dynamics).: IEEE, 2022. P. 1–5.
Currently, one of the trends in education is the growth in the use of chatbots. To improve the efficiency of using chatbots, models are needed that will allow evaluating the effectiveness of a student's work with a chatbot and predicting the appearance of unsuccessful students who may have learning problems in the future. Currently, there ...
Added: December 10, 2022
Analysis of Requirements for Next-Generation Complex Urban and Transportation System Simulation
Stepanyants V., Romanov A., , in: 2022 Dynamics of Systems, Mechanisms and Machines (Dynamics).: IEEE, 2022. P. 1–5.
Transportation planning progressively includes more parameters with new technologies arising on the market, new problems and factors being considered, and an importance of interactions with other urban domains being realized. To evaluate the operations of a transportation system simulation is widely needed. However, state-of-art simulation tools do not cover all the desired parameters. This paper ...
Added: January 31, 2023
Shift Happens, So Filtering for DTS Matters
Ershov I., Oleg V. Stukach, Trubin I. V., , in: 2022 Dynamics of Systems, Mechanisms and Machines (Dynamics).: IEEE, 2022. P. 1–4.
Added: March 13, 2023
Design of an Ultrasonic Telemetry Information Transmitter for the Downhole-Wellhead Communication Channel
Ershov I., Stukach O., Bykov S. V. et al., , in: 2022 Dynamics of Systems, Mechanisms and Machines (Dynamics).: IEEE, 2022. P. 1–4.
The problem of creating an energy-efficient and compact downhole telemetry system in the ultrasonic operating frequency band is relevant but currently not solved. The investigations are aimed at finding possibilities to transmission of telemetric information that provide the better noise immunity and data transfer rate. An ultrasonic transmitter designed as part of the study of ...
Added: April 1, 2023
Research target: Engineering and Technology Computer Science
Language: English
DOI
Text on another site
Keywords: динамикаdynamics
Publication based on the results of:
Разработка и исследование эффективности использования виртуального игрового педагогического агента для обучения программированию и развития навыков hard и soft skills (2022)
2022 Dynamics of Systems, Mechanisms and Machines (Dynamics)
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Musical notation has enjoyed universal recognition for centuries, whereas dance notation has remained comparatively underdeveloped and conceptually challenging. As a kinetic and embodied art form, dance requires a system of notation capable of reflecting its visual, affective, and technical dimensions while at the same time meeting the normative demands of stage practice. The first serious ...
Added: June 2, 2026
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В статье про платформы для разработки открытого ПО в Китае мы рассказали про GitCode – молодой проект, позиционируемый как площадка для разработчиков со всего мира. Сейчас на GitCode размещаются проекты, созданные в КНР, но некоторые из них уже известны и на международной арене. Помочь открытым проектам в становлении, развитии и расширению аудитории призван фонд OpenAtom ...
Added: June 2, 2026
The recognition-by-components method
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The paper describes a applied artificial intelligence task of recognition-by-components method of real objects based on the recognition of a limited set of primitives or components. The recognition-by-components makes it possible to determine the components, that compose an object, and increase the number of recognizable objects without degrading the recognition quality. Training is performed on ...
Added: May 29, 2026
Brain-Computer Interfaces for Gait Rehabilitation After Stroke A Scoping Review
Mokienko O., Zisman M. A., Bobrov P. et al., American Journal of Physical Medicine and Rehabilitation 2026 Vol. 105 No. 6 P. 555–563
Brain-computer interfaces (BCIs) represent a promising technology for restoring lower limb motor functions and gait after stroke. The application of BCIs in this field is supported by a limited number of studies. The objective of the review was to systematically and critically evaluate the current evidence on the use of BCIs for lower limb function ...
Added: May 28, 2026
ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ И ТЕХНИЧЕСКИЕ СРЕДСТВА УПРАВЛЕНИЯ (ICCT-2024)
М.: Институт проблем управления им. В.А. Трапезникова РАН, 2024.
В сборник вошли материалы VIII Международной научной конференции «Информационные технологии и технические средства управления» (ICCT-2024). На конференции были рассмотрены вопросы, касающиеся перспектив развития научного приборостроения в телекоммуникационных и управляющих системах, биомедицинской информатики, аппаратного и программного обеспечения информационнокоммуникационных систем, надежности, диагностики и неразрушающего контроля, систем управления и автоматизации, цифровых экосистем, управления производством и логистикой, методов математического ...
Added: May 27, 2026
Non-linear in-band interference cancellation on base of conjugate gradients method
Degtyarev A., Bakhurin S., Yudin N., DSPA 2026 P. 1–6
This paper investigates one possible solution to the problem of self-interference cancellation (SIC) arising in the design of in-band full-duplex (IBFD) communication systems. Self-interference cancellation is performed in the digital domain using multilayer nonlinear models adapted via gradient-based optimization. The presence of local minima and saddle points during the adaptation of multilayer models limits the ...
Added: May 26, 2026
28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy – Including 14th Conference on Prestigious Applications of Intelligent Systems (PAIS 2025)
IOS Press, 2025.
Added: May 26, 2026
Comparative Study of Training Methods and Architectures of Echo State Networks
Androsov I., Proceedings of the Institute for System Programming of the RAS 2026 Vol. 38 No. 3 P. 87–114
This paper examines echo state networks (ESNs), one of the most prevalent approaches to implementing reservoir computing. An ESN consists of a recurrent neural network with fixed (untrained) weights and a readout layer that is typically linear and trainable. This approach enables the creation of energyefficient and computationally efficient neural networks capable of real-time learning. However, since ...
Added: May 26, 2026
Рефакторинг исходного кода на основе LLM и расширения UML
Караваева Е. А., Кулигин Л. А., Rezunik L. et al., Труды Института системного программирования РАН 2026 Т. 38 № 3 С. 67–94
В статье представлен метод рефакторинга исходного кода на основе интеграции большой языковой модели (LLM) и расширенной UML-модели программного кода. Предложенный подход позволяет выявлять проблемные участки кода с использованием функций тревожности и структурных метрик классов, а затем выполнять автоматизированный рефакторинг. Ключевой особенностью метода является использование LLM для генерации формальных спецификаций на языке OCL (Object Constraint Language), ...
Added: May 24, 2026
Coping with AI errors with provable guarantees
Tyukin I., Tyukina T., van Helden D. P. et al., Information Sciences 2024 Vol. 678 Article 120856
AI errors pose a significant challenge, hindering real-world applications. This work introduces a novel approach to cope with AI errors using weakly supervised error correctors that guarantee a specific level of error reduction. Our correctors have low computational cost and can be used to decide whether to abstain from making an unsafe classification. We provide ...
Added: May 23, 2026
Overcoming the Curse of Dimensionality with Synolitic AI
Zaikin A., Sviridov I., Sosedka A. et al., Technologies 2026 Vol. 14 No. 2 Article 84
High-dimensional tabular data are common in biomedical and clinical research, yet conventional machine learning methods often struggle in such settings due to data scarcity, feature redundancy, and limited generalization. In this study, we systematically evaluate Synolitic Graph Neural Networks (SGNNs), a framework that transforms high-dimensional samples into sample-specific graphs by training ensembles of low-dimensional pairwise ...
Added: May 23, 2026
Stable On-the-Fly Learning for Dynamic Neural Networks With Delayed Inputs
Chertopolokhov V., Mukhamedov A., Bugriy G. et al., IEEE Access 2026 Vol. 14 P. 14369–14392
This study presents on-the-fly identification and multi-step prediction of nonlinear systems with delayed inputs using a dynamic neural network combined with a smooth projection onto ellipsoids. The projection enforces parameter constraints that guarantee stability, while a Lyapunov–Krasovskii analysis yields computable ultimate error bounds. Riccati-type matrix inequalities are derived, providing an efficient vectorization–projection–devectorization implementation suitable for ...
Added: May 22, 2026
Опыт применения сетевого анализа (SNA) в историческом нарративе полисубъектного региона (на примере валлийской хроники Brut y Tywysogyon)
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This research is an endeavor to apply social network analysis (SNA) to the study of a medieval narrative source. The authors suppose that the use of network analysis may offer new possibilities in the study of the history of regions characterized by some political fragmentation. Authors tried to construct networks of historical interactions from 1193 ...
Added: May 22, 2026
Reproducible Benchmark of Wavelet-Enhanced Intrabody Communication Biometric Identification
Jin S., Komarov M. M., Scientific Reports 2026
Intrabody communication (IBC) channels offer physiological diversity that can be leveraged for passive biometric identification in wearable devices. Recent reports of over 99 per cent identification accuracy have frequently resulted from data leakage, where samples from the same subject are seen in both training and evaluation, yielding inflated and unreliable metrics. In this work, we ...
Added: May 21, 2026
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The results of the analysis of data collected by the method of expert questioning of Russian scientific metrological institutes’ employees, as well as buyers of measuring instruments, are presented. ...
Added: May 21, 2026
АНАЛИЗ СОДЕРЖАНИЯ ФЕДЕРАЛЬНОГО ИНФОРМАЦИОННОГО ФОНДА ПО ОБЕСПЕЧЕНИЮ ЕДИНСТВА ИЗМЕРЕНИЙ В ЧАСТИ ОСЦИЛЛОГРАФОВ
Апрелев А. В., Пивоварова Н. И., Plotnikov S. et al., Альманах современной метрологии 2022 № 2(30) С. 94–101
The results of the analysis of data from the Federal Information Fund for Ensuring the Uniformity of Measurements in terms of oscilloscopes are presented. ...
Added: May 21, 2026
ML-based Fast Simulation of FARICH Responses
Shipilov F., Barnyakov A., Ivanov A. et al., / Series Physics "arxiv.org". 2026.
A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...
Added: May 19, 2026
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations)
Rabat: Association for Computational Linguistics, 2026.
Added: May 19, 2026
Dataset of solubility values for organic compounds in binary mixtures of solvents at various temperatures
Malikov D., Krasnov L., Kiseleva M. et al., Scientific data 2026 Vol. 13 Article 727
Solubility is a crucial property of organic compounds, impacting their potential applications in synthetic chemistry, materials science and drug design. Moreover, in technological processes mixtures of solvents are often utilized, making the solubility assessment more complicated. Predicting solubility values in mixtures of solvents from a molecular structure can help to address this issue, although a ...
Added: May 19, 2026
The Evolution of Nabokov’s Poetic Style: a Stylochronometric Analysis of Attributive Patterns
Vadim S. Andreev, Научный результат. Серия: Вопросы теоретической и прикладной лингвистики 2025 Vol. 11 No. 3 P. 45–62
The goal of this paper is to investigate attributive constructions in the poetry of Vladimir Nabokov. The material comprises Nabokov’s lyric poetry, published by the author himself in collections representing all major creative periods. The focus is on one of the most significant aspects of his style: the set of attributive types and their relationships, ...
Added: October 1, 2025
Green infrastructure dynamics in the urban areas of subarctic Western Siberia
Moskovchenko D., Roman Fedorov, Fakhretdinov A., Urban Ecosystems 2025 No. 28 Article 155
The northern part of western Siberia, which comprises the Khanty-Mansiysk and Yamalo-Nenets Autonomous Districts of Tyumen Oblast, Russia, is one of the most urbanized areas exposed to the subarctic climate. Here, we study the specifc socio-natural interactions afected by the development of urban green infrastructure in such climatic zones as middle and northern taiga, as ...
Added: August 4, 2025
Пространственно-временной анализ занятости в сельском хозяйстве в странах мира
Потапова А. А., Наумов А. С., Вестник Московского университета. Серия 5: География 2022 № 5 С. 76–90
Статья посвящена комплексному изучению трансформации сельскохозяйственной занятости в мире, регионах и отдельных странах. По мере экономического развития происходит снижение роли сельского хозяйства в структуре экономики и занятости. Однако, в связи с географической дифференциацией стран этот процесс проходит крайне неравномерно, в разные временные периоды и разными темпами. Развитые на сегодняшний день страны прошли трансформацию в середине ...
Added: September 30, 2024
Динамика продолжительности рабочего времени в постсоветский период
Kozyreva P. M., Nizamova A. E., Smirnov A. I., Социологические исследования 2024 № 5 С. 27–38
На основе данных «Российского мониторинга экономического положения и здоровья населения НИУ ВШЭ (RLMS-HSE)» осуществлен анализ изменений в продолжительности рабочего времени в постсоветский России (1994–2021). Показано, что если в 1990-х гг. каждый третий работник трудился, не превышая установленную продолжительность рабочего времени, то сегодня только каждый пятый, а остальные вынуждены постоянно перерабатывать. Вместе с тем при росте ...
Added: September 4, 2024
Core–shell clustering approach for detection and analysis of coastal upwelling
Nascimento S., Martins A., Relvas P. et al., Computers & Geosciences 2023 Vol. 179 Article 105421
A comprehensive approach is presented to analyze season’s coastal upwelling represented by weekly sea surface temperature (SST) image grids. The proposed model, core–shell clustering, assumes that the season’s upwelling can be divided into shorter periods of stability, time ranges, consisting of constant core and variable shell parts. A one-by-one core–shell clustering algorithm is provided. The ...
Added: August 22, 2023
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