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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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Влияние социального капитала на восприятие коррупции в группе

Вестник Нижегородского университета им. Н.И. Лобачевского. Серия: Социальные науки. 2018. № 2. С. 16–24.
Рассадовская А. В.

In this paper, we examine the correlation between corruption perceptions of a particular person and the person’s surrounding people. The relevance of this task is obvious in the context of the great attention paid to the fight against corruption in modern society, and also due to the fact that the available scholarly literature mostly discusses the behavior of bribetakers and their economic motives in deciding on a bribe, while the motivation of the bribe-giver, including the attitude towards corruption in society is also of great importance. An assumption was made about the mutual influence of opinions within a social group, a method was proposed to assess the degree of this influence using the characteristics of the social network graph. An analysis was carried out involving six survey groups of students from four Russian universities. It included primary data analysis and application of the proposed method for assessing the degree of influence. Our results show that there is a significant influence of the surrounding people on the person’s corruption perceptions, which opens the question of finding the qualities in the groups that produce different levels of influence.

Research target: Economics and Management Sociology (including Demography and Anthropology
Priority areas: economics sociology
Language: Russian
Full text
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Keywords: социальные сетиsocial networkspeer effectscorruption perceptionsвосприятие коррупциимодели влиянияimpact models
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