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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.
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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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Measuring Personal Networks with Core Discussion Network Methodology: A Case of Russian Students

Quality and Quantity. 2025. Vol. 59. P. 4077–4095.
Mikhaylova O., Dokuka S.

This paper explores the use of the Core Discussion Network (CDN) methodology for analyzing personal networks. We discuss the method’s origins and the specifics of its implementation, followed by a brief overview of findings from international studies. Using data collected in 2021 from 270 first-year undergraduate and graduate students at a top-tier Russian university, we present results from an empirical study. The analysis focused on network parameters such as the size and density of ego-alter ties, alongside the socio-demographic characteristics of alters (gender, age, and relationship to ego). Results indicate that the structure of CDNs among Russian students in 2021 closely mirrors that of Ukrainian respondents from prior studies in terms of connection counts, proportions of relatives versus non-relatives, and the percentage of respondents reporting no discussion partners. However, variation coefficients for gender and age were distinct compared to earlier research, though direct comparisons were constrained by inconsistent reporting of standard deviations in existing literature. Our findings highlight the need for standardized metrics in personal network analysis to improve cross-study comparability.

Research target: Social Sciences
Language: English
Full text
DOI
Keywords: surveynetwork analysiscomparative researchquantitative researchpersonal networkscore discussion network
Publication based on the results of:
The contribution of education to the development of human capital in the Far East and the Arctic (2025)
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