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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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Digital Parenting Narratives and Social Work Practice: How Russian Podcast Representations of Motherhood and Fatherhood Shape Family Dynamics and Service Engagement

Child and Adolescent Social Work Journal. 2026.
Mikhaylova O., Maksuta E.
In press

Purpose: This study examines representations of parenting practices in Russian-language podcasts to inform child and family social work practice in an increasingly digital media landscape.

Basic procedures: We conducted inductive qualitative content analysis of 65 Russian-language parenting podcasts published on iTunes in May 2022. Data collection employed purposive and snowball sampling strategies, with analysis following systematic coding procedures to ensure credibility and dependability.

Main findings: Seven distinct parenting representations emerged: scientifically informed (n=22), mothering (n=19), education-focused (n=6), fathering (n=6), child identity-focused (n=5), prenatal (n=5), and active coparenting (n=2). The dominant representation portrayed competent, educated mothers as primary caregivers, while fatherhood was marginalized and depicted as natural rather than learned. "Scientifically informed" parenting created pressure for expert validation, potentially undermining parental confidence and affecting help-seeking behaviors.

Conclusions: Podcast representations may shape client expectations, parental self‑efficacy, and family dynamics encountered in social work practice. These findings have important implications for assessment, intervention planning, and the development of digitally-informed family support services. Social workers need media literacy skills to address unrealistic parenting expectations and support families navigating digital media influences on parenting practices.

Research target: Social Sciences
Language: English
Full text
DOI
Keywords: Digital MediaParentingchild welfarefamily dynamics media literacysocial work practicefather engagementmaternal supportcultural representationfamily services
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