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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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Преодоление внутренних и внешних барьеров для инновационного развития компаний

Форсайт. 2024. Т. 18. № 2. С. 85–96.
Vlasova V., Boyko K. A., Kuznetsova T.
Research target: Economics and Management
Language: Russian
DOI
Keywords: инновационная политикаинновационное развитиеэкономический кризисбарьеры для инновацийинновационные стратегииделовая средарамочные условия для инноваций
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Demidova O., Kazakova S., Applied Economics 2026 P. 1–14
This paper examines the nonlinear relationship between inflation and economic growth across Russian regions, contributing to the literature on the inflation-growth nexus by using subnational evidence from a large and economically heterogeneous country. Using panel data for 83 regions over the period 2015–2023, we estimate fixed-effects models with a quadratic specification of inflation. The growth-maximizing ...
Added: October 3, 2026
Дифференциация занятости и её влияние на социальную структуру российского общества
Tikhonova N. E., Karavay A., Социологическая наука и социальная практика 2026 Т. 14 № 3 С. 12–36
Drawing on data from the 2024 RLMS-HSE, the article shows that employmentrelated risks are increasingly being shifted onto workers in Russia, while employment differentiation already affects more than 40% of employed Russians, even without taking into account deviations from standard working hours, which are typical of most representatives of the mass social strata. Employment differentiation in Russia is characterized, ...
Added: October 2, 2026
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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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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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We derive bounds on the gradient and Hessian of the log-CDF, ln F(x), of the multivariate normal distribution. These bounds scale linearly and quadratically in ‖x‖ , respectively, with constants depending only on the covariance matrix. We demonstrate the usefulness of these bounds by proving asymptotic normality of the maximum-likelihood estimator of the multivariate probit ...
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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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The impact of state subsidies on Russia's post-Soviet dairy output remains controversial; this study provides an empirical analysis of that relationship. Using an unbalanced panel dataset of 123 dairy enterprises in the Leningrad Region spanning the period from 2010 to 2023, we employ stochastic frontier analysis to assess these relationships. The results indicate that subsidies ...
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Трансфертная поддержка российской экономики: ретроспективный анализ в контексте параметров национального счетоводства
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The article explores how results of constructing aggregate national transfer accounts’ (NTA) estimates can be used for macroeconomic analysis and forecasts of current transfers in home economy. It presents the findings of the author’s study of their transfer modules over retrospective period of more than 10 years. The emphasis in the paper is focused on ...
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The paper is the first attempt in the Russian literature to assess returns to platform employment in the Russian labor market. The theory offers no clear predictions regarding its impact on workers’ earnings: there might be both a premium and a penalty. We distinguish three groups of workers: employees; self-employed using internet-platforms; self-employed not using ...
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This article examines the models of government–business interaction in the advancement of artificial intelligence in the United States, China, and Russia. The analysis demonstrates that the U.S. venture-grant model, China’s state-corporate model, and Russia’s cross-sector model facilitate AI deployment in different ways, each with distinct advantages and limitations. The findings clarify how national AI strategies ...
Added: February 27, 2026
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