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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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Revolutions, Counterrevolutions, and Democracy

P. 105–136.
Leonid Grinin, Korotayev A.
Language: English
Full text
DOI
Keywords: democracyrevolutionscounterrevolution
Publication based on the results of:
New revolution wave at the Afrasian instability zone (2022)

In book

Handbook of Revolutions in the 21st Century. The New Waves of Revolutions, and the Causes and Effects of Disruptive Political Change
Handbook of Revolutions in the 21st Century. The New Waves of Revolutions, and the Causes and Effects of Disruptive Political Change
Grinin L. E., Korotayev A., Karasev D., Rozov N., Grinin A., Selbin E., Mitchell L., Goldstone J. Springer, 2022.
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The article continues the discussion of Grigory Yudin’s book 'Public Opinion'. The review considers Yudin’s arguments on the “plebiscitarian bias” in opinion-poll technology, on the linkages between opinion-polls, Rousseauist tradition and the “plebiscitarian model”, and on Gallup’s, Schumpeter’s, and Weber’s contributions to plebiscitarism. In the context of the proposed conceptual model, controversial issues in the interpretation of Weber’s and ...
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Vanishing Vanguard: Decline of Leadership in Revolutionary Mass Mobilization since the 19th Century
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“Leaderlessness” is widely held to be a defining feature of contemporary mass mobilization, yet the claim rests on a handful of recent cases. We offer the first systematic cross-national analysis of this phenomenon from 1791 to 2019. We show that the absence of leadership is real but older and more modest than claimed: the share ...
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Демократия в эпоху социальных трансформаций: два различных подхода
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The Liberal Mission Foundation continues to introduce readers to new concepts of democracy and relevant publications. This discussion focuses on the challenges facing democracy in the era of globalization, as addressed in two recent books: *The Backsliders: Why Leaders Undermine Their Own Democracies* by S.C. Stokes (2025) and *Critical Theories and the Postsocialist Challenge: Race, ...
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This study investigates which structural factors most strongly predict armed and unarmed revolutionary destabilization across Sub-Saharan Africa (SSA), the Middle East and North Africa (MENA), as well as Asia using country–year data for 1950–2022 and a set of economic, demographic, political, and climatic indicators. It employs an interpretable machine learning framework (CatBoost with SHAP values ...
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