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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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Математические методы распознавания образов: Тезисы докладов 19-й Всероссийской конференции с международным участием

M. : Российская академия наук, 2019.
Filipenkov N., Петрова М. А., Мехедов И. С.

The rapid growth of geospatial data in the world enables the implementation of
data mining techniques to mine the patterns in geospatial data. In this paper the
authors have applied the algorithms that were previously used for mining slightly
changing patterns in time series to geospatial data of the real estate market. So the
paper discusses mining the patterns that slightly change in space (instead of time).
The paper uses data on the real estate market. The predicted variable (square
meter price) is analyzed respective to the district, distance to the city center, stations
of public transport, highways, shops, sports, entertainment, healthcare, education
centers, offices, parks etc. The proposed approach for mining slightly changing
patterns in geospatial data is highly applicable to any data with geo-tag, e.g. space
image recognition, geo-targeted marketing etc.

Priority areas: IT and mathematics mathematics
Language: Russian
Full text
Keywords: data miningинтеллектуальный анализ данныхгеоинформатикаgeospatial dataжилая недвижимостьproperty price
Математические методы распознавания образов: Тезисы докладов 19-й Всероссийской конференции с международным участием
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