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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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Инструментарий статистического анализа научной и инновационной деятельности российских вузов

Вопросы статистики. 2013. № 2. С. 38–52.
С.А.Заиченко, С.В.Мартынова

The paper illustrates capabilities of a new statistical tool developed for comprehensive in-depth quantitative analysis of research and innovation activity of Russian higher education institutions (HEIs). The results of such analysis are applicable for planning, coordination, and control of addressed public polices in S&T and innovation. The novelty of the approach and its implications to official statistics is explained by critical review of existing standard statistical tools for monitoring HEI potential and activities. The review is followed by detailed description of new methodology. The main part of the paper provides descriptive statistics based on the experimental tool as well as conclusions on application of these results for more in-depth analysis and for policy advise to Russian S&T and innovation policy-makers.

Research target: Economics and Management Mathematics
Priority areas: economics
Language: Russian
Keywords: научная деятельностьинновационная деятельностьвузстатистические показателистатистический инструментарийhigher education institutionsstatistical indicatorsS&T priorities
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Acceptance of enterprise AI search requires checking answer correctness and access controls, defining acceptable errors, and assessing whether testing is sufficient. A record for individual acceptance criteria was developed. Its eight fields link requirements and risks to system configuration, testing, and the acceptance decision. The fields are mapped to provisions in four Russian standards. The ...
Added: October 1, 2026
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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
On some arithmetic conditions of recurrent sequences modulo prime p
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We investigate a boundary-driven Ginzburg-Landau dynamics with long-range interactions. In the hydrodynamic limit, the macroscopic evolution is governed by a fractional heat equation with Dirichlet boundary conditions, while the corresponding stationary profile is characterized by a fractional Laplace equation. We establish a dynamical large deviations principle for the empirical measure and derive the associated stationary ...
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Long-time behaviour of dynamical systems driven by bounded mixing noises
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The paper deals with the problem of large-time behaviour of trajectories for discrete-time dynamical systems driven by a random noise. Assuming that the phase space is finite-dimensional and compact, and the noise is a Markov process with a transition probability satisfying some regularity hypotheses, we prove that all the trajectories converge to a unique measure ...
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Исламский банкинг и накопление финансовой хрупкости в Саудовской Аравии
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This paper analyzes the financial fragility оf cоmpanies in Saudi Arabia frоm 2012 tо 2025 based оn the Hyman Minsky’s financial instability hypоthesis and is the first attempt to apply this theory to a country dominated by Islamic banking. The authors test not only the relationship between the dynamics of financial fragility and the dynamics ...
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Регулятивное и нерегулятивное давление в ESG-повестке российских компаний
Klaro Ramires P. M., Veselova A., AlterEconomics (ранее - Журнал экономической теории) 2026 Т. 23 № 3 С. 699–718
As Russia transitions toward a green economy and reshapes its sustainable development agenda, understanding the external and internal factors influencing companies’ adoption of ESG principles is increasingly important. The study examines the relationships between external institutional pressure, internal organizational capabilities, and the effectiveness of corporate ESG practices. It focuses on external regulatory and non-regulatory mechanisms, ...
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Bounds on the derivatives of the log-cumulative distribution function of the multivariate normal distribution
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The article assesses China’s technological sovereignty in high-tech industries that form the ecosystem of physical artificial intelligence and its readiness to develop intelligent robotics. The aim of the study is to identify changes in China’s position in the global value chains of these industries through a comprehensive analysis of foreign value added used in production, ...
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Simultaneous approximation of the score function and its derivatives by deep neural networks
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We present a theory for simultaneous approximation of the score function and its derivatives, enabling the handling of data distributions with low-dimensional structure and unbounded support. Our approximation error bounds match those in the literature while relying on assumptions that relax the usual bounded support requirement. Crucially, our bounds are free from the curse of ...
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Added: September 30, 2026
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Added: September 30, 2026
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Added: September 29, 2026
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Предисловие
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The review of V.Mazyrin's academic activity and the structure of his article collection is undertaken. ...
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Added: June 28, 2026
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