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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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Gendered Perspectives on Obsessive-Compulsive Disorder Among Russian Women: A Comparative Study of Self-Identified and Clinically Diagnosed Individuals

Women's Studies International Forum. 2025. No. 109. Article 103049.
Elizaveta Shmidova, Oxana Mikhaylova

This study utilized semi-structured biographical interviews and thematic analysis to explore the sociocultural construction of obsessive-compulsive disorder (OCD) experiences among 12 young Russian women, comparing self-diagnosed and clinically diagnosed cases. The findings demonstrate that women with self-identified OCD often framed their experiences in a personal and individualized context, attributing their symptoms to specific life events or stressors. They used self-diagnosis to understand and manage their symptoms without formal medical intervention, displaying a strong sense of agency and personal responsibility. In contrast, women with clinically diagnosed OCD described their experiences through medical and psychological frameworks, including detailed accounts of interactions with healthcare providers, the diagnostic process, and structured treatment plans. They frequently emphasized the importance of external validation and professional support. Both groups shared common themes related to societal stigma, gender-specific challenges, and the impact of cultural norms. However, the clinically diagnosed group relied more on pharmacotherapy and psychotherapy, while the self-identified group focused on self-help strategies and personal coping mechanisms. This research highlights the importance of addressing sociocultural and gender-specific factors in OCD treatment and public awareness campaigns to reduce stigma and improve support for women with OCD.

Research target: Social Sciences
Language: English
Full text
DOI
Keywords: comparative studysociological analysisSocial constructionGendered experiencesOCD identityself-diagnosis vs clinical diagnosiswomen’s mental health
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