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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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Межгрупповые различия в установках к людям с расстрой­ствами аутистического спектра (РАС)

Мониторинг общественного мнения: Экономические и социальные перемены. 2020. № 5. С. 559–577.
Zangieva I., Lesnykh K.

The study is focused on the attitudes towards people diagnosed with an autism spectrum disorder (ASD) and the assessment of differences in public attitudes depending on individual’s social and demographic characteristics and engagement with this topic. The study is based on the data of a quantitative online survey with a sample of 1,297 respondents from communities concerned with the ASD (psychology, evidence-based medicine, parenthood and child rearing). The following five types of attitudes were identified using cluster analysis: (1) ‘interest and compassion’, (2) ‘help without compassion’, (3) ‘neutrality’, (4) ‘compassionate rejection’, (5) ‘aggression and rejection’. Regression analysis shows that positive attitudes are typical of women and statistically related to having children, relatively high financial self-assessment, manifestation of personal interest in the ASD topic and having family members with ASD. Respondents who do not have anyone with ASD in their immediate circle, those who only have an experience of observing but not directly communicating with them are more likely to have aggressive attitudes.

Research target: Sociology (including Demography and Anthropology
Priority areas: sociology
Language: Russian
Full text
DOI
Text on another site
Keywords: социальные установкиРоссияаутизмsocial attitudesпсихические расстройстваautismmental disordersAutism Spectrum Disordersociology of inclusionрасстройства аутистического спектра(РАС)социология инклюзии
Publication based on the results of:
Network Sciences: fundamental network research and analytical decision support for government and business (2020)
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