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Subject
News
October 1, 2026
HSE Researchers Show How Congenital Motor Disorders Affect Brain Development
Researchers from HSE University’s Institute for Cognitive Neuroscience have synthesised the findings of their previous studies on brain development in children with obstetric brachial plexus palsy and arthrogryposis. Their analysis shows that impaired motor function in early childhood not only limits children’s motor experience but also affects memory, categorical thinking, and information processing. The study has been published in Frontiers in Psychology.
October 1, 2026
Window into the Body: Scientists Develop Neural Network to Detect Risk of 15 Diseases from Retinal Images
Russian universities, with the participation of HSE University, Sber, and Z-union, have developed a neural network that can simultaneously assess the risk of 15 types of pathology from retinal photographs, including not only eye diseases but also cardiovascular conditions. The AI system can help clinicians detect potentially concerning changes at an early stage, identify signs reflecting the condition of retinal blood vessels, and determine whether a patient may need further examination. The paper has been published in Frontiers in Medicine.
September 30, 2026
'We Did Not Limit the Time for Questions'
The International Laboratory for Supercomputer Atomistic Modelling and Multi-Scale Analysis at HSE University held a major conference on molecular dynamics. Participants had the opportunity to attend all the presentations, while speakers were given as much time as they needed to answer questions. The HSE News Service interviewed Grigory Smirnov, Head of the Laboratory, and Genri Norman, Chief Research Fellow, about the conference preparations and the discussions it generated.

 

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2017 IEEE Dynamics of Systems, Mechanisms and Maсhines (Dynamics)

Omsk : IEEE, 2017.
Chapters
Method of Automated Control of Distributed Radio Direction Finding System
Aminev D. A., Kozyrev D. V., Zhurkov A.P. et al., , in: 2017 IEEE Dynamics of Systems, Mechanisms and Maсhines (Dynamics).: Omsk: IEEE, 2017. P. 1–9.
This article presents a method of the automated control of distributed radio direction finding system (RDFS) providing the construction of an automated system of technical diagnostics and recovery of distributed RDFS performance on the specified requirements. This dual-circuit method includes diagnosing and reliability operations, redundancy recommendations, and also control algorithms of the constituent elements of ...
Added: November 24, 2017
Towards the problem of measurement traceability in the Internet of measurement concept
Stukach O., Ershov I., , in: 2017 IEEE Dynamics of Systems, Mechanisms and Maсhines (Dynamics).: Omsk: IEEE, 2017. Ch. 1 P. 1–4.
The paper deals with the issues of measurement traceability based on uncertainty of measurements as an integral part of specific measurement technologies based of new information system. A short review of papers devoted to measurement traceability problem in modern conditions is described. It is proposed to further expand a concept of "special technical means" in ...
Added: January 8, 2019
Research target: Computer Science Electronics and Electrical Engineering
Priority areas: IT and mathematics engineering science
Language: English
Text on another site
Keywords: математическое моделированиеинформационная безопасностьдинамикаdynamicsradioelectronicsmathematic modeling information securityрадиотехнические системы
2017 IEEE Dynamics of Systems, Mechanisms and Maсhines (Dynamics)
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Zlotnik A., Математические заметки 2026 Т. 120 № 6 С. 1005–1009
Численным методам решения систем газодинамических уравнений посвящена обширная литература. Ранее было разработано и успешно апробировано специальное семейство симметричных по пространству  консервативных разностных методов, основанных на предварительной кинетической, точнее, квазигазодинамической (КГД), регуляризации этих уравнений. Актуальной задачей является построение численных методов, которые обладают не только свойством консервативности по массе, импульсу и полной энергии, но и удовлетворяют условиям энтропийной ...
Added: October 1, 2026
Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence (IJCAI 2026)
International Joint Conferences on Artificial Intelligence, 2026.
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Ensemble-based Prototype-Augmented Multimodal Fusion for Ambivalence/Hesitancy Recognition
Ryumina E., Aksenov A., Сысоев Д. С. et al., IEEE Computer Society, 2026.
Ambivalence/hesitancy recognition in unconstrained videos is a challenging problem due to the subtle, multimodal, and context-dependent nature of this behavioral state. In this paper, a multimodal approach for video-level ambivalence/hesitancy recognition is presented for the 10th ABAW Competition. The proposed approach integrates four complementary modalities: scene, face, audio, and text. Scene dynamics are captured with ...
Added: September 30, 2026
Decoding Algorithms for Binary U-UV Codes: A Unified Survey of Performance and Complexity
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U-UV codes, based on the Plotkin (U, U + V) construction, provide a unified framework that includes polar and Reed–Muller codes and enables flexible design through the choice of component codes. While modern capacity-approaching codes achieve excellent performance at large block lengths, their efficiency at short and moderate lengths remains limited, especially under low-latency constraints. ...
Added: September 30, 2026
Нейросетевая модель жилого здания как объекта управления для погодозависимого регулятора тепловой энергии
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The growing complexity of modern urban infrastructure increased demands on the efficiency of heat supply, which must be ensured by the sustainable and efficient operation of supply organizations. Decrease in thermal comfort, or overspending of thermal energy is followed by bad quality of control. Systemically, the heat consumption of residential buildings on a city range ...
Added: September 30, 2026
The EG-TD3 Machine Learning Architecture: Evolutionary-Guided Twin Delayed Deep Deterministic Policy Gradient
Djambong Tenkeu H., Institute for System Programming of the RAS, 2026.
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Нижние множества и свойства замкнутости классов функций подсчета
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Язык L является нижним для релятивизируемого сложностного класса C, если CL=C. Для классов #P, GapP и SpanP известны точные нижние классы языков: Low(#P) = UP ∩ coUP, Low(GapP) = SPP и Low(SpanP) = NP ∩ coNP. В этой статье мы доказываем, что Low(TotP) = P, и приводим характеризации нижних классов функций для #P, GapP, TotP ...
Added: September 28, 2026
Role of dislocations in the mobility of pinned helium bubbles: Molecular dynamics simulations in aluminum
Piliugin L., Antropov A., Lobashev E. et al., Journal of Nuclear Materials 2026 Vol. 632 Article 156876
The effects of dislocations on the mobility of gas nanobubbles pinned to them are considered as novel unex- plored mechanisms of accelerated fission gas release and investigated using classical molecular dynamics of helium bubbles in FCC aluminum. Non-equilibrium methods are developed to calculate the mobility of a pinned bubble both along and across the dislocation ...
Added: September 28, 2026
MPI+OpenMP implementation of resolution-of-the-identity Hartree-Fock method exploiting permutational symmetry of three-center electron repulsion integrals
Kashpurovich I., Oleynichenko A., Stegailov V., Supercomputing Frontiers and Innovations 2026 Vol. 13 No. 1 P. 52–73
We report a high-performance implementation of the resolution-of-the-identity Hartree–Fock method that fully exploits the permutational symmetry of three-center electron repulsion integrals (ERI). The present implementation adopts a hybrid MPI+OpenMP parallelization strategy. Two different algorithmic approaches (with and without the pre-transformation of ERIs) are compared. A custom data layout introduced previously is employed. Designed to efficiently ...
Added: September 28, 2026
A Three-Party W-State Quantum Secret Sharing Protocol with X-Gate Encoding and Forbidden-Outcome Detection
Teregulov T., Loubenets E. R., / Series Quantum Physics "arXiv". 2026. No. 2609.31472.
We develop a new three-party quantum secret-sharing (QSS) protocol based on a three-qubit W state. This protocol encodes the secret-sequence bits using X gates and employs randomly selected Hadamard operations and measurement bases to generate information and security-test rounds. We evaluate the efficiency of the proposed protocol and analyze its security against an internal adversary ...
Added: September 28, 2026
Bytedance и Open Source - открытые проекты от разработчика TikTok
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Social media users rarely think about what lies behind the beautiful facade of activity feeds, teeming with photos and video stories. However, the widespread popularity of such platforms generates a huge amount of all sorts of content that needs to be stored, processed quickly, and displayed, and in the era of AI, it also needs ...
Added: September 28, 2026
Shape-aware deep learning for models of production
Prokhorov A., Wei Z., Sang H. et al., Journal of Productivity Analysis 2026 Vol. 65 P. 1–16
The stochastic frontier model (SFM) is widely employed in the analysis of productivity and efficiency, yet strict parametric forms, such as the Cobb-Douglas and Translog functions, are often assumed for modeling production, leading to potential misspecification issues. While semi- and nonparametric SFMs offer greater flexibility, they face challenges in imposing monotonicity and concavity to maintain ...
Added: September 28, 2026
Inverse quickest path problem on networks under weighted l_\infty norm
Qian X., Guan X., Zhang B. et al., Journal of Global Optimization 2026
Inverse quickest path problem on networks ...
Added: September 27, 2026
Navigating Complexity: Statistical Methods, Data Analysis, and Machine Learning for Actionable Insights
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
An early warning system for emerging markets
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
Экспериментальное сравнение HTTP/2 и HTTP/3 в условиях программно моделируемой сетевой деградации
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
Synthesis of Acyclic Models for Processes Without Repeating Events
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
Анализ протокола выработки общего ключа для управления микросхемой интеллектуальной карты
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Added: September 24, 2026
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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
Hybrid Graph Retrieval-Augmented Language Agents for Collaborative Recommendation
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
Психологическая работа в органах внутренних дел Российской Федерации с использованием цифровых технологий
Арефьева О. В., Бобровская Л. М., Борисова С. Е. et al., М.: Академия управления МВД РФ, 2025.
The collective monograph examines issues related to the methodological and theoretical features of psychological work in law enforcement agencies in the context of digitalization and the pandemic, and reveals the psychological foundations of information security for law enforcement officers. The analysis of the results of monitoring the moral and psychological state of employees and the ...
Added: September 22, 2026
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Starodubov K., Шейкин В. В., Карасев П. И., XXI век: итоги прошлого и проблемы настоящего плюс 2026 Т. 15 № 2 (74) С. 20–25
The paper addresses the problem of formalized description of intruder behavior in government information systems. An approach based on hidden Markov models is proposed for modeling the actions of an intruder, where the stages of malicious activity are interpreted as hidden states and the events registered by the system are treated as observable symbols of ...
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