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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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Пассажирские авиаперевозки: антикризисные реакции и направления восстановления

ЭКО. 2022. № 1. С. 96–120.
Fokeev M.

The crisis caused by the coronavirus pandemic has caused a significant drop in production performance in the passenger airline industry and has forced players to change their business models. Based on the references to the actions of airlines in 2020 and the first half of 2021 the author considers the applicability of the industry business model and the model of crisis response strategies in the Russian context. We determined the types of reactions of domestic airlines to the impact of the crisis and the elements, the depth of changes in business models taking into account regional specifics. The results of the analysis revealed a different from foreign airlines sequence of response of carriers to the crisis, expressed in a search for innovative solutions, the expansion of the value chain, in addition to reducing assets and applying for state support. Such behavior is related to regional peculiarities of the Russian market, expressed in institutional characteristics, market architecture and consumer behavior. Taken together, a comprehensive and chronological analysis over 1.5 years has also revealed a set of trends in the development of the passenger air transport market in Russia, the issue of the sustainability of which may be a subject for further case studies.

Research target: Economics and Management
Language: Russian
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Keywords: бизнес-модельair transportationпассажирские авиаперевозкиbusiness-modelCOVID-19coronavirus disease (COVID-19)
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