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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
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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Результаты адаптации короткой версии методики выраженности киберхондрии на российской выборке

Психологический журнал. 2023. Т. 44. № 1. С. 101–112.
Дейнека О. С., Maksimenko A., Забелина Е. В., Гаркуша С. А.

In recent years, our country and the whole world have faced a situation of a large-scale epidemic
caused by the COVID‑19 virus, which created favorable conditions for the development of cyberchondria. The
aim of the study is to theoretically substantiate the attention of researchers to the phenomenon of cyberchondria
and to adapt the methodology for studying the severity of cyberchondria (CSS) in the Russian sample.
The results of the exploratory factor analysis of the study data showed full compliance with the structure of the
original questionnaire: 5 scales were identified, the validity of which was confirmed by confirmatory factor
analysis. All scales showed an acceptable level of reliability in terms of internal consistency. During the test of
convergent validity, explainable relationships were found between the scales of the questionnaire and indicators
of tolerance for uncertainty, psychological well-being and addiction to social networks.

Research target: Psychology Media and Communications Clinical Medicine
Language: Russian
Full text
DOI
Text on another site
Keywords: субъективное благополучиеstressтолерантность к неопределенностиsubjective well-beingtolerance for uncertaintyдистрессcyberchondriaкиберхондрияonline health information seekingobsessionexcessdistrust of doctorscomfortaddiction to social networksпоиск информации о здоровье в интернетенавязчивостьчрезмерностьнедоверие врачамперестраховкааддикция к социальным сетям
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