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July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
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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.

 

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Русскоязычная адаптация симптоматического опросника (Symptom Checklist-K-9, SCL-K-9)

Сибирский психологический журнал. 2023. № 89. С. 105–115.
Zolotareva A.

The Symptom Checklist-K-9 (SCL-K-) was developed to assess general psychopathology based on self-reports on the symptoms of hostility, obsessive-compulsivity, depression, interpersonal sensitivity, paranoid tendencies, anxiety, somatization, phobic anxiety, psychoticism. The aim of this study was to examine the psychometric properties of the Russian SCL-K-9. The participants were 1079 respondents, including 543 women and 536 men aged 18 to 84 years (M = 41.39; SD = 12.38). Data collection was carried out with the help of the company "Anketolog". The participants filled out the Russian versions of the SCL-K-9 and Depressive, Anxiety, and Stress Scale-21 (DASS-21). General psychopathology was more common in women and did not depend on the age of the respondents. The results of the confirmatory factor analysis pointed to the one-factor structure of the Russian version of SCL-K-9, which corresponds to the original structure of the questionnaire and confirms the factorial validity of the adapted instrument. A one-factor solution was found for the total sample and individual samples of men and women. The multigroup confirmatory factor analysis showed the configural, metric and scalar invariance of the Russian SCL-K-9 by gender of the respondents. The adapted instrument had high internal consistency (α-Cronbach = 0.903). The SCL-K-9 general psychopathology scores were statistically significantly positively correlated with depression, anxiety and stress scores according to DASS-21, which confirmed the convergent validity of the adapted instrument. In conclusion, the psychometric validity of the Russian version of SCL-K-9, has possible use for research purposes, but there is a need for further psychometric testing in clinical settings.

Research target: Psychology
Language: Russian
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Keywords: psychopathologyпсихопатологияinternal reliabilityconvergent validityвнутренняя надежностьконвергентная валидностьSCL-K-9factor validityфакторная валидностьSCL-K-9factor invarianceфакторная инвариантность
Publication based on the results of:
Motivational and meaning foundations of personality success (2023)
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