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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
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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.’
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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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Brand Awareness in Times of Foreign Divestments: Case of Fashion and Food Industries in Russia

Финансы и бизнес. 2024. Vol. 20. No. 1. P. 63–81.
Lebeyodkina D., Ehtisham U. H., Markovskaya E., Shola Ojo Kolawole

The article is dedicated to the analysis of brand awareness during foreign divestments in cases of fashion and food industries in Russia. For a detailed analysis, two companies from the food industry were selected: McDonald’s (with the brand Vkusno i Tochka after the divestment) and Coca-Cola (with the brand Dobry Cola after the divestment), as well as one company from the fashion industry: LPP Group (with the brands Re, M, Sin, XC after the divestment). The aim of this study is to analyze the phenomenon of divestment in the Russian food and fashion industries, both on the part of companies (how divestments took place, how they differ from company to company, and why this happened) and the part of consumers (how the new positioning has affected the awareness of the brand, its recognition and its attractiveness). The study puts an effort to fill the research gap caused by a lack of knowledge about how exactly foreign companies left the Russian market during the current sanctions, and how the consumers reacted to the new brands that replaced them, which defines the relevance of the work.

For the study, a comprehensive analysis of the literature was carried out, as well as case study method and statistical tests were used. The data was collected using a brand awareness survey. During the analysis of the results, it was found that companies used either disinvestment (starvation) strategy or sell-off (divestiture) strategy. As for the brand awareness survey results, it was noted that despite the idea of succession promoted by new companies, brand loyalty and satisfaction have fallen below those of the original brands, as well as poor brand positioning has been presented. The results of the analysis provide valuable insights into the perceptions that consumers have with selected brands both for brand managers and for scholars.

Research target: Economics and Management
Language: English
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Keywords: food industrybrand awarenessdivestmentsfashion industry
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