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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
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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Анализ реакции фондового рынка на объявление о выплате дивидендов на примере российского рынка

Корпоративные финансы. 2023. Т. 17. № 3. С. 72–92.
Nazarova V., Isaeva A., Чуприна Ю. Г.

The inquiry into the influence of dividend declarations on the stock values of corporations has been extensively investigated across various countries. The results of these studies have been varied, and there is limited information available on this topic specifically for the Russian market. This paper aims to demonstrate the impact of dividend announcements on the yield of Russian companies' shares. The study utilizes comprehensive data from MOEX for the period of 2008–2021, which encompasses both economic growth and recessionary periods. The results of the study indicate that the effect of decreasing, maintaining and increasing the amount of dividends corresponds to the signal theory. There are differences between
industries: there are fairly stable and mature companies on the market that are not subject to significant changes (Electric Power, Oil and Gas industries); shares of companies in the Transport industry and a number of other industries behave more distinctively. In comparison with other studies, this paper analyzes the effect of increasing and decreasing dividends on stock returns using not only event analysis, but also regression analysis. This work adds results to the few available on the Russian market. The main limitations include the small number of variables in the construction of regression models and the limited period of the study. The work is carried out only for the Russian market. The obtained findings can be taken into account by company managers in order to make optimal decisions regarding the dividend policy and enhancing their dividend policies.

Research target: Economics and Management
Language: Russian
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DOI
Text on another site
Keywords: дивидендыdividendsсобытийный анализ event studydividend announcementsignaling theory,сигнальная теорияобъявление дивидендов
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