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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 русскоязычной версии шкалы генерализованного тревожного расстройства (Generalized Anxiety Disorder-7)

Консультативная психология и психотерапия. 2023. Т. 31. № 4. С. 31–46.
Zolotareva A.

Aim. The Generalized Anxiety Disorder-7 is the «gold standard» for assessing anxiety in clinical and population studies. The aim of this study was to adapt the Russian version of the GAD-7. Method. In this cross-sectional study, 1,130 respondents participated. They were recruited through accidental sampling. The participants completed the Russian versions of the GAD-7 and the Patient Health Questionnaire-9 (PHQ-9) measuring the severity of depressive symptomatology. Results. The factor structure of the Russian version of the GAD-7 corresponds to both a unidimensional model that measures the general anxiety score and a two-dimensional model that highlights the cognitive-emotional and somatic components of anxiety. The adapted scale has high internal reliability (α = 0,93) and convergent validity, confirmed through statistically significant positive correlations between the GAD-7 and the PHQ-9 scores. Conclusion. The Russian version of the GAD-7 is valid and reliable and can be recommended for assessing anxiety in the general population. Avenues for further psychometric examining lie in expanding validation procedures and involving clinical samples to prove the specificity and sensitivity of the GAD-7, and to determine its diagnostic capabilities in clinical research and practice.

Research target: Psychology
Language: Russian
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Keywords: тревогаanxietyпсихометрические свойства psychometric propertiesanxiety disordersтревожные расстройствадепрессивные расстройстваGAD-7depressive disordersGAD-7
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