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August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
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August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Экономические истоки революций: связь между ВВП и рисками революционных выступлений

Полития: Анализ. Хроника. Прогноз. 2023. Т. 108. № 1. С. 64–87.
Ustyuzhanin V., Михеева В. А., Sumernikov E., Korotayev A.

in recent years, numerous studies have appeared that analyze the influence of different factors on the probability of revolutionary events. However, an important set of modernization variables (GDP, urbanization, education, democratization) still remains understudied. Moreover, the results of recent quantitative studies show significant discrepancies in how welfare (operationalized through GDP per capita) affects the risks of revolutions. This paper attempts to bring clarity to the study of the impact of welfare on revolutionary instability. In particular, strong discrepancies in the results of previous studies can be caused by looking at revolutions in the aggregate, without dividing them into armed or unarmed ones. We therefore conducted an analysis of revolutionary instability over the period 1900–2019, including 425 revolutionary episodes of various types. Among the main results we can highlight the existence of a strong linear negative relationship between armed revolutions and the level of GDP per capita, while the relationship between unarmed revolutions and welfare behaves curvilinear: first, as GDP per capita increases, the risks of unarmed revolutions increase, but after reaching a certain level they begin to fall. The inflection point, when the risks of unarmed revolutionary instability are greatest, can be considered the level of GDP per capita of middle-income countries, which currently face the middle-income trap. In other words, their welfare stagnates at the level that is most risky for the emergence of unarmed revolutions. Therefore, in addition to the obvious economic problems associated with the middle-income trap, one must also consider the fact that it leads to increased risks of revolutionary instability.

Research target: Political Science, International Relations, and Public Administration
Language: Russian
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Keywords: модернизацияВВПmodernizationrevolutionsэкономические факторыGDPреволюцииeconomic effects
Publication based on the results of:
New revolution wave at the Afrasian instability zone (2022)
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