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News
May 13, 2026
Immersion in Second Language Environment Influences Bilinguals Perception of Emotions
Researchers at the Cognitive Health and Intelligence Centre at the HSE Institute for Cognitive Neuroscience have discovered how bilingual individuals process emotional words in their native (first) and non-native (second) languages. It was found that the link between word meaning and bodily sensations is weaker in a second language than in a first language. However, the more a person is immersed in a language environment, the smaller this difference becomes. The article has been published in Language, Cognition and Neuroscience.
May 12, 2026
‘Any Real-Economy Company Can Use Our Products
The HSE Centre for Financial Research and Data Analytics combines fundamental and applied work, including in areas unique to Russia such as the connection between sentiment in the media and social networks and financial markets. The HSE News Service spoke with the centre’s director, Professor Tamara Teplova, about its work.
May 7, 2026
Researchers Find More Effective Approach to Revealing Majorana Zero Modes in Superconductors
An international team of researchers, including physicists from HSE MIEM, has demonstrated that nonmagnetic impurities can help more accurately reveal Majorana zero modes—quantum states considered promising building blocks for quantum computing. The researchers found that these impurities shift the energy levels that typically obscure the Majorana signal, while leaving the mode itself largely unaffected, thereby making its spectral peak more distinct. The study has been published in Research.

 

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It’s (not) a match! How doctoral students in Russia experience the gap between expectations and reality

Innovations in Education and Teaching International. 2025.
Smirnov N., Rakov N.

This study investigates mismatches between doctoral students’ expectations and experiences, conceptualising the doctorate as a liminal and often opaque educational space. Using survey data from 1,373 doctoral students across 157 universities in Russia, we employ Latent Class Analysis to identify five distinct expectation-reality profiles. While many students report alignment, a substantial proportion experience unmet expectations or encounter unanticipated challenges – particularly in workload, academic support, and social integration. These mismatches correlate with lower satisfaction and reduced confidence in completing the dissertation. Differences are shaped by institutional type, disciplinary field, and educational trajectory, with students from leading universities and non-linear academic paths being especially at risk. The findings highlight the importance of managing expectations through transparent admissions processes, pre-enrolment orientation, and ongoing institutional support. By offering a typology of (mis)match experiences, this study contributes to innovation in doctoral education design and provides actionable insights for enhancing student engagement, retention, and well-being.

Research target: Education
Language: English
DOI
Text on another site
Keywords: аспирантураlatent class analysisлатентный классовый анализудовлетворенность обучениемdoctoral education in Russiaнаучное руководство аспирантамиотсев в аспирантуре doctoral educationexpectation-reality mismatchacademic satisfactiondoctoral attritionнесовпадение ожиданий и реальности
Publication based on the results of:
Трансформация аспирантуры в Китае и России (2026)
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