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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 relationship between values and prosocial behavior in different contexts before and during the Сovid-19 pandemic

Psychology. Journal of the Higher School of Economics. 2023. Vol. 20. No. 1. P. 40–48.
M. V. Efremova

The COVID-19 pandemic has unprecedentedly influenced social interactions, which can be implemented both in real life (offline) and on the Internet. Prosocial behavior as a type of social interactions has a positive impact on individuals and society, especially during crises. Prosocial behavior is determined by various factors, including individual values and contextual factors as the most influential ones. The form of prosocial behavior and its determinants may differ in different periods of the society functioning. Therefore, studying prosocial behavior before and during the pandemic, and identifying factors of its implementation in various contexts is a relevant task. This study explores the relationship between individual values and prosocial behavior, in an offline and an online context, before and during the COVID-19 pandemic in Russia. A crosssectional study with two sub-samples — the “pre-pandemic” group (N=304) and the “pandemic” group (N=187) — was conducted online, using the short version of Human Values Scale by S. Schwartz (ESS-21) and scales of prosocial behavior in online and offline contexts. Results show that during a pandemic people are less likely to engage in prosocial behavior offline and rely less on Self-Trans - cendence values. At the same time, in “the pre-pandemic” group, Self-Transcendence values contribute to prosocial behavior in both contexts, while Self-Enhancement values contribute to prosocial behavior in the online context. Next, in the “pandemic” group, Self-Transcendence values and Openness-to-Change values promote prosocial behavior in both contexts, while Conservation values discourage it. The results are discussed regarding the impact a pandemic has on people's lives.

Research target: Psychology
Language: English
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Keywords: индивидуальные ценностиprosocial behavior individual valuesonline contextcyberpsychologyCOVID-19 pandemicпандемия COVID-19 offline context просоциальное поведение онлайн-контекст офлайн-контекст
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