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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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Адаптация шкалы коллективного нарциссизма на российской выборке

Социальная психология и общество. 2022. Т. 13. № 3. С. 201–220.
Romanova M., Иванов А. А., Bogatyreva N., Terskova M., Bykov A., Анкушев В. В.

Objective. Adaptation of the scale that measures the collective narcissism level of an individual.

Background. There are some societal problems in modern Russia, such as a huge societal distance and widespread prejudice towards minorities. Collective narcissism is an important aspect of intergroup relations, as being related to outgroup hostility associated with a high level of ingroup identification.

Study design. The study is divided into two parts, both employing a survey consisting of different questionnaires. For both parts, the survey included the adapted version of collective self-esteem scale and its correlates.

Participants. The study included two samples. The first sample included 260 participants (average age 36,8 years; 43% of males). The second representative sample included 1011 participants (average age 35,1 years; 47% of males).

Measurements. For data processing, exploratory and confirmatory factor analyses, Cronbach coefficient alpha, and correlation analysis were applied in the R Studio software.

Results. Good results of confirmatory factor analysis indicate the presence of reliability-consistency of the scale. The external validity of the scale was also evaluated, as a result we received confirmation of these types of validity.

Conclusions. The scale adapted by the authors is reliable and valid and can be further used for research purposes.

Research target: Psychology
Language: Russian
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Keywords: самооценкаintergroup relationsмежгрупповые отношенияпредрассудкиаутгрупповая враждебностьPrejudice self-esteemколлективный нарциссизмcollective narcissismoutgroup derogation
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