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October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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The Rey Auditory Verbal Learning Test: adaptation into Russian and a new digital “RAVLT World”

Clinical Neuropsychologist. 2025. Vol. 39. No. 7. P. 2106–2128.
Malyutina S., Zubareva N., Buivolova O., Zontov Y., Shestakova E., Chernova M., Bedo A., Andriushchenko A., Savilov V., Kurmysheva E., Kibardina A., Kotova N., Sobko A., Akbarova Z., Dragoy O.

Objective: The Rey Auditory Verbal Learning Test (RAVLT) is a classic test used to assess episodic verbal memory in research and clinical practice. We aimed to adapt the RAVLT materials into Russian, provide performance norms across the adult lifespan for the Russian adaptation, and develop a mobile application for automated RAVLT administration across languages. Method: We created three psycholinguistically matched alternative versions of the RAVLT materials in Russian and incorporated them into a new RAVLT World tablet application. We tested 354 neurologically healthy 21-to-89-year-old Russian speakers, modeled their performance using multivariate multiple regression, and calculated demographically adjusted norms. We also tested the equivalence of performance across the three alternative Russian versions and between the pen-and-paper and digital form. Results: Performance across three alternative versions and between the pen-and-paper and digital form was equivalent, although test-retest reliability measured via intraclass correlation coefficients was limited. Older age, male gender and fewer years of education were associated with lower performance on both raw trial scores (R2 = .515) and composite scores (R2 = .961). Demographically adjusted norms are now available in a paper form and as part of the RAVLT World application. Conclusions: The new RAVLT adaptation can be used to assess verbal memory in Russian-speaking adults, serving their clinical needs and diversifying research on verbal memory. The equivalent alternative versions can serve for repeated testing in longitudinal designs. The RAVLT World tablet application, with automated administration and scoring, makes the test more accessible to patients and allows to incorporate multiple language versions.

Research target: Philology and Linguistics
Language: English
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Keywords: clinical neuropsychologyклиническая нейропсихологияverbal memorytest adaptationадаптация тестовRAVLTRey Auditory Verbal Learning Testperformance normsтест Реяслухоречевая памятьстандартизация тестов
Publication based on the results of:
Mental health research: behavioral and neurophysiological foundations (2025)
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