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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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Wellbeing Dynamics Across Cultures During the Pandemic: A Five-Country Exploration

International Journal of Psychology. 2025. Vol. 60. No. 2. Article e70016 .
Hartle L., Bortolini T., Karl J., Sokolov B., Fischer R.

Wellbeing levels have been a global concern during the COVID-19 pandemic, but there is a lack of attention to invariance questions that allow a robust examination of wellbeing dynamics across cultures. Questions of temporal stability that are crucial for examining the impact of the pandemic on wellbeing have received even less attention. Some studies suggested that measures may not be stable after the onset of the pandemic. We examine invariance parameters, the factorial structure and variability of wellbeing variables (life satisfaction, pandemic worries, anxiety and depression screenings) across five different cultural contexts from 2020 to 2022 (N = 4387, total observations = 13,161). A three-factor model separating life satisfaction, worry and distress performed best in terms of model fit and parsimony. We observed scalar invariance across times and identified little variability of wellbeing measures during the pandemic, suggesting that wellbeing levels remained stable during the pandemic in each of the countries sampled. In contrast, we only identified metric invariance across countries at each time point, and found a weakening of correlations between life satisfaction and a depressive/anxious symptoms scale in lower income countries. We discuss implications of our findings for discussions of wellbeing dynamics.

Research target: Sociology (including Demography and Anthropology Psychology
Language: English
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Keywords: invariancefactorial structurewellbeinglongitudinalcross-culturalcross-cultural factorial structureinvariancelongitudinalwellbeing
Publication based on the results of:
Comparative studies of culture and subjective well-being: differentiation and integration of societies in the context of global challenges (2025)
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