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June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
June 5, 2026
‘In the Age of Technology, It Is Interesting to Look into the Past and Think about What We Can Take from It
Polina Tabakova decided to apply for a Philology degree at HSE in Nizhny Novgorod because she grew up in Mari El and did not want to move far away from the Russian forests. In an interview for the Young Scientists of HSE University project, she spoke about the genre of the campus novel, the existential drama of Kolobok, and a blackout version of Eugene Onegin.
June 5, 2026
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.

 

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Beyond recognition: Beliefs, attitudes, and help-seeking for depression and schizophrenia in Ghana

Mental Health, Religion and Culture. 2023. Vol. 26. No. 2. P. 107–130.
Adu P., Jurcik T., Grigoryev D.

There is paucity of research about the beliefs and attitudes regarding specific mental disorders in Ghana. A vignette study was conducted to examine the relationship between causal attributions, help-seeking, and stigma towards depression and schizophrenia using lay Ghanaians (N = 410). This adapted questionnaire presented two unlabelled vignettes about a hypothetical person with the above disorders for participants to provide their impressions. Next, participants answered questions on beliefs and attitudes regarding this person. The results showed that causal beliefs about mental disorders were related to treatment options, and stigma: spiritual causal attributions associated positively with spiritual help-seeking and perceived stigma for the mental disorders, whilst biological, and psychosocial causal attribution of the mental disorders was positively related with professional help-seeking. Finally, contrary to previous literature, religious belief did not negatively associate with professional help-seeking for the mental disorders. In conclusion, results suggest that integration of ‘idioms of distress’ into mental health assessment and interventions may benefit Ghanaians. Our findings have implications for mental health literacy and anti-stigma campaigns in Ghana and other developing countries in the region. 

Research target: Psychology Social Sciences Other social sciences
Language: English
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Keywords: religiositystigmaschizophreniastigmatizationdepressionspiritual culturemental health literacyindigenous psychiatryhelp-seeking
Publication based on the results of:
Socio-cultural and psychological mechanisms of unity and polarization of Russian society in the context of global challenges (2023)
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