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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
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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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EFFECTS OF "YAWNING" INFECTION AND SPREAD OF RUMORS IN MASS AND INTERPERSONAL COMMUNICATION IN THE INFORMATION SOCIETY

International Business Management. 2016. Vol. 10. No. 7. P. 1370–1374.
Sychenkov V.

Abstract: Paying attention to the phenomenal speed of propagation of rumors which is similar to the flu epidemic, the researcher considers the nature of socio-psychological phenomenon of “Word of Mouth” (WM). From the research point of view it seems promising to move from the conservative perception of “WM” as “secondary” and negative information to consideration of “WM” as an object of scientific research which is already being studied in sociology, psychology and communication theory. The paradigm in science is being changed with the main emphasis on influence transfer rather than information transfer. Of all the effects of infection, the rumors and yawning are considered. The researcher refers the yawning infection to the symptom of unconscious differentiation of the audiences into “own-alien” ones by the subject so to provide spontaneous influence or to avoid further communication.

Research target: Media and Communications
Priority areas: management
Language: English
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Keywords: вирусный маркетингвлияние масс-медиаViral marketingmass media and communicationinformational virusvirusвирусные коммуникации
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