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July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.
July 20, 2026
Scientists Propose Method for More Efficient Resource Use in Machine Learning
An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.

 

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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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