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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.
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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.’
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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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Paranormal beliefs and core knowledge confusions: A meta-analysis

Personality and Individual Differences. 2024. Vol. 230. Article 112780.
Gallyamova A., Komyaginskaya E., Grigoryev D.

This meta-analysis examines the relationship between paranormal beliefs and Core Knowledge Confusions (CKC), a concept introduced by Lindeman and Aarnio (2007) to explore the link between ontological errors and belief in the paranormal. The CKC, which uses metaphor classification to assess ontological confusion, suggests that cognitive processes organize information into ontologies, and our interpretation of literal versus metaphorical expressions reflects these categorizations. Despite advancements in education, ontological confusion persists, manifesting in various forms like mentalization of matter, physicalization of the mental, and biologization of the mental. Our analysis, encompassing 25 effect sizes with 16,129 participants from 11 countries and publications over 14 years, found a significant average effect size (r = .40) in the relationship between paranormal beliefs and the CKC, indicating a robust and consistent association across various populations and contexts. The study observed that contextual factors specific to data from Finland enhance the estimated magnitude of the effect size. Despite considerable heterogeneity and potential influences of unexamined moderators, the results suggest a universal cognitive pattern linking paranormal beliefs with certain types of ontological confusion. This meta-analysis underscores the need for further exploration into contextual variations in understanding the complex relationship between paranormal beliefs and ontological errors.

Research target: Psychology
Language: English
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Keywords: paranormal beliefs meta-analysisunfounded beliefscore knowledge confusionsontological confusion
Publication based on the results of:
Socio-cultural and psychological factors of integration and disintegration of Russian society in the context of global challenges (2024)
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