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News
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
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
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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Performance of closely held firms in Russia: Evidence from firm-level data

European Journal of Finance. 2008. No. vol.14 issue 4. P. 337–358.
Kuznetsov A., Kapeliushnikov R., Demina N.

This paper evaluates the impact of ownership concentration on firm performance in a weak institutional environment. Specifically, using new survey evidence, we seek to appraise quantitatively the performance of block-holder-controlled firms in Russia and to identify, within the domain of corporate governance theory, factors that may explain such performance. We find evidence of negative association between the size of the dominant owners' shareholding and performance parameters such as investment, capacity utilization, and profitability. At the same time, we establish that control structures with multiple, large shareholders increase efficiency. The ambiguity of the effects of ownership concentration suggests that country-specific factors play an important role

Priority areas: economics management
Language: English
Full text
Keywords: Russiacorporate governanceperformanceownership structures
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