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June 25, 2026
HSE Researchers Make Aldehydes Perform Dual Function
Chemists from HSE University have discovered a way to carry out a reductive addition reaction without using an external reducing agent. Instead, the required 'resource' is supplied by the aldehyde itself, one of the reaction participants. This approach helps prevent unwanted side reactions, reduces toxicity, and simplifies the production and synthesis of organic molecules, including those used in the manufacture of medicines. The study has been published in Journal of Catalysis.
June 25, 2026
HSE Scientists Explain Why Findings in Autism Research Differ
Researchers from the Cognitive Health and Intelligence Centre at HSE University conducted the first-ever systematic review of studies on the specifics of emotion-from-motion perception in autism. The review showed that differences found between autistic and non-autistic individuals are largely associated with the experimental design and the types of tasks given to study participants. The review findings have been published in Research in Autism.
June 22, 2026
‘In Science, You Are Your Own Boss
Polina Nasledskova is interested in identifying gaps in linguistics and topics that have been overlooked by other researchers. In an interview for the  Young Scientists of HSE University project, she spoke about rare ordinal numerals in Nakh-Daghestanian languages, the benefits of knitting for concentration, and the beauty of the Patriarshy Bridge.

 

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Выращивание данных для школьных виртуальных лабораторий

Вестник Российского университета дружбы народов. Серия: Информатизация образования. 2021. Т. 18. № 4. С. 347–359.
Patarakin Y., Ярмахов Б. Б.

The paper discusses various data sources that can be used in teaching school subjects and developing statistical, quantitative, computational and research literacy. The focus of our research is data farming in multi-agent environments and its further statistical analysis. As a successful example of binding environments, cases of data farming in Netlogo and statistical analysis in R are reviewed. The use of generative approach allows students to manipulate with data, produced by agents, operated by them, and assume the position of a researcher who plans his own experiments and analyses their results.

Research target: Education
Language: Russian
DOI
Text on another site
Keywords: многоагентное моделированиеagent-based simulation and modellingвычислительное мышлениеstatistical literacy
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