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News
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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Оценка возможности применения металлооксидных сенсоров в устройствах типа «Электронный нос»

Датчики и системы. 2016. № 11. С. 39–48.
Kulagin V., Kuznetsov Y. M., Chulkova G., Иванов А. И., Львов С. А., Шустров А. В.

The article presents the technology and different variants of manufacturing of chemical sensors, made on the basis of metal oxide semiconductors for use in the type of "electronic nose" devices. The prospects of using neural networks to detect gas mixtures.

Research target: Electronics and Electrical Engineering Construction Mechanics and Mechanical Engineering Effective Natural Resource Management
Priority areas: engineering science
Language: Russian
Full text
Text on another site
Keywords: neural networksискусственные нейронные сетиsensorsсенсорыelectronic nosesemiconductor sensorrecognition of odorsполупроводниковый датчикраспознавание запахов«электронный нос»
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