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.
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.
Tremors: Scientists Develop Method for Real-Time Tracking of Hazardous Underground Vibrations
Researchers from HSE MIEM and IPKON RAS have developed a new mathematical monitoring model that can identify the source of hazardous underground vibrations in real time. The technology could help reduce the risk of damage to buildings, roads, and other infrastructure located near quarries and mining sites. The paper has been published in Russian Mining Industry.
The HSE Effect: Q1 Journal Publications and a PhD at the University of Sydney
Last year, Stephen Sodoke, a master's student on the Population and Development programme at the Vishnevsky Institute of Demography, HSE University, won the Student Research Paper Competition. This year, as a recent HSE graduate, he has published two articles in first-quartile journals and secured a PhD position at the University of Sydney. In this article, Stephen Sodoke discusses his research and the role HSE played in shaping his academic career.
‘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.
HSE Researchers Determine Which Internet Users Are More Likely to Fact-Check
Researchers at HSE University examined the strategies employed by Russian internet users to verify unreliable information and the factors that motivate them to do so. The study found that more than half of users who encounter potentially false information online attempt to verify it by locating the original source. The likelihood of fact-checking is influenced by several factors, including age, place of residence, social status, information literacy skills, and the use of AI. The findings have been published in Monitoring of Public Opinion: Economic and Social Changes.
'I’m Used to Producing Distilled Knowledge'
Ivan Rubachev works in a HSE University laboratory established jointly with Yandex Research, where he focuses on machine learning with tabular data. In this interview with the HSE Young Scientists project, he discusses why following a vibe can be better than goal-setting, explains the concept of the Neural Turing Machine, and argues why withholding scientific knowledge is counterproductive.
From Development to Product: HSE University Opens Applications for Bachelor’s Programme in Innovation Management
On June 20, HSE University begins accepting applications for the new Bachelor's Programme in Technology Innovation Management at the School of Innovation and Entrepreneurship. The programme aims to train specialists capable of managing technology projects at every stage, from testing ideas and validating hypotheses to implementing solutions and bringing products to market.
Tabular Data Anonymisation Solution for Safe Use in AI Systems Developed at HSE University
The AI and Digital Science Institute at the HSE Faculty of Computer Science has developed a tabular data anonymisation service designed to prepare corporate datasets for use in analytics and AI applications. The solution can identify personal data in structured datasets, apply consistent and reproducible anonymisation rules, and generate the artifacts required for quality control, auditing, and subsequent use of data in secure environments.
Bioinformatics Researchers Identify Twenty Potentially Pathogenic Mutations in Gene Associated with Pulmonary Arterial Hypertension
Researchers at HSE University, in collaboration with colleagues from other Russian institutions, have identified which mutations in the ACVRL1 gene may be pathogenic in patients with pulmonary arterial hypertension. The team modelled how genetic variations affect ATP binding to the protein—a process essential for transmitting signals required for normal vascular function. The researchers found that 20 of the 32 variants studied can disrupt signal transmission and are therefore likely to cause disease. The findings have been published in the Journal of Structural Biology.