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News
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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Dynamics of university students’ experiences with COVID-19 in the first year of pandemic in Russia: dataset

Frontiers in Psychology. 2023. Vol. 14. Article 1286036.
Natalia Antonova, Ksenia Eritsyan, Usacheva N., Larisa Tsvetkova

The present dataset offers secondary analytic opportunities to explore changes in the rates of the COVID-19 recommended protective behavior. COVID-19 related beliefs and mental health symptoms as well as range of COVID-related personal experiences from the beginning of the first wave to the second wave of the COVID-19 pandemic. 
Data was collected during two waves of the cross-sectional survey study (May-June 2020 and September-November 2020) among students at one of the largest universities in Saint-Petersburg, Russia. The first round of data collection occurred at the peak of the first wave of COVID-19 pandemic in Russia, the second - at the beginning of the second wave of COVID-19. The construction of all variables was in line with the tools recommended by the WHO for COVID-19 behavioral studies.  The dataset combined from the both waves consists of 1,790 observations of 76 variables.
The present dataset could be useful for analysis of the different behavioral, cognitive, and mental health variables across those two data points. It could also be merged with other time-sampled or geographic data.
Based on a sample of Russian students it provides an opportunity to test analytical hypotheses on a non-WEIRD sample, which is important for a nuanced understanding on the level of generalizability of research findings.

Research target: Psychology Other social sciences
Language: English
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Keywords: Russiauniversity studentsperceived threatmental healthpreventive behaviorDatasetCOVID-19
Publication based on the results of:
Impact of Crises and Reforms on People's Attitudes and Behavior (2023)
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