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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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Tweeting Tsunami: Influence and Early Warning in British Columbia

Canadian Journal of Communication. 2020. Vol. 45. No. 3. P. 387–409.
Oldring A., Milekhina A., Brand A.

Background Although early warning has been studied on Twitter, research focused on Canada is rare. British Columbia, Canada, is vulnerable to tsunamis, and warning systems are not ubiquitous. Establishing pre-event networks can contribute to understanding early warning dissemination potential in the province.

Analysis This study locates a 1,932 follower network for @NWS_NTWC, a Twitter handle for the U.S. National Tsunami Warning Center, and the province’s primary tsunami warning notification account. A profile content analysis identifies stakeholders and maps locations, and a network analysis describes interconnections by role, country, and community type (rural or urban).

Conclusion and implications The results describe how networks can optimize warnings via Twitter. Key outcomes include a longitudinal baseline, network-driven decision-making techniques, strategies for alerting at-risk areas, and a method for detecting influential users.

Research target: Media and Communications
Priority areas: sociology
Language: English
DOI
Text on another site
Keywords: twittersocial network analysisrisk communicationContent analysisTsunami early warning
Publication based on the results of:
Network Sciences: fundamental network research and analytical decision support for government and business (2020)
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