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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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The effect of mood induction and language of testing on bilingual creativity

Bilingualism: Language and Cognition. 2016. Vol. 19. No. 5. P. 1079–1094.
Kharkhurin A. V., Altarriba J.

This study explores the hypothesis that language of testing and mood states can influence creativity in bilinguals. Arabic-English bilingual speakers were induced into positive or negative mood states using film clips and recall-of-events procedures. Then, participants’ creativity was assessed with the Abbreviated Torrance Test for Adults. Participants were tested in either English or Arabic. A Picture Naming Test revealed English as participants’ stronger language and Arabic as their weaker language. Testing in English was found to enhance verbal fluency and originality, as compared to testing in Arabic. Most importantly, an interactive effect of induction (positive, negative) and language of testing (English, Arabic) on creativity emerged. The results revealed two conditions beneficial for participants’ nonverbal originality: a positive mood state when tested in English and a negative mood state when tested in Arabic. These results are discussed in light of the interactive effect of mood induction and linguistic context (stronger vs. weaker) on an individual’s creativity.

Research target: Philology and Linguistics Psychology
Priority areas: humanitarian
Language: English
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Keywords: креативностьcreativityэмоцииmoodbilingualismбилингвизмemotionsнастроениеinductionиндукцияbilingual creativityбилингвальная креативностьemotional inductionlanguage dominanceязыковая доминантность
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