Tag "research projects"

HSE scientists have developed a software tool for assessing the presence and degree of dyslexia in school students based on their gender, age, school grade, and eye-tracking data. The application is expected to be introduced into clinical practice in 2024. The underlying studies were conducted by specialists in machine learning and neurolinguistics at the HSE AI Research Centre.

Applying expensive diagnostic methods in clinical practice will ultimately cost society 5 to 10 times less than the expenditures associated with late-stage cancer treatment, including subsequent disability pensions and sick leave payments—these are the findings from a study conducted by researchers at the HSE Faculty of Economic Sciences Marina Kolosnitsyna and Anastasia Vladimirskaya in collaboration with colleagues at EVOGEN, a medical genetic laboratory, and the Department of Health of the Yamalo-Nenets Autonomous Okrug. The study results have been published in Social Aspects of Population Health.

Researchers at the HSE University AI Research Centre and Faculty of Computer Science have proposed a novel algorithm for detecting structural changes in time series. The method uses a neural network to compare various segments of a series, enabling rapid detection of changes in its behaviour. The results of their work have been presented at the 26th International Conference on Artificial Intelligence and Statistics— AISTATS (A*).

Researchers at the HSE Faculty of Economic Sciences have studied the relationship between the changes in the bitcoin prices and the media attention to this cryptocurrency. The researchers examined the mentions of bitcoin in the media between 2017 and 2021 and built a mathematical model that revealed the strong relationship between media attention and bitcoin prices. The study was published in the Applied Stochastic Models in Business and Industry journal.

A group of scientists from the HSE Faculty of Computer Science has conducted a study on the ability of neural networks to detect humour. It turns out that for more reliable recognition, it’s necessary to change the approach to creating datasets on which neural networks are trained. The scientists presented these results at one of the world's most important conferences on natural language processing — EMNLP 2023. 

Experts at HSE University and Lomonosov Moscow State University examined the available data on Moscow's walkability and found the central and south-western parts of the city to be more walkable than others. However, the eastern and south-eastern areas are in need of improvements to make them more pedestrian-friendly. The study has been published in Cities.

In a ground-breaking experiment, HSE MIEM researchers subjected Lavsan (polyethylene terepfthalate, polyester) and Kapton (polypiromellitimide, polyimide) polymers, commonly used in space technology, to ionising radiation for durations ranging from microseconds to several hours at temperatures of -170°C and +20°C, while comparing their electrical conductivity under extreme conditions. The study reveals that at -170°C, Kapton's conductivity is ten times lower than at +20°C. These findings can assist engineers in developing more effective protection for spacecraft against static discharges induced by ionising radiation. The study has been published in Journal of Applied Physics.

An article by researchers from HSE University’s Faculty of Biology and Biotechnology is among the most read articles published in the PeerJ journal in 2023. In the paper, the researchers establish a link between the genetic characteristics of the human immune system and its ability to effectively resist new waves of COVID-19. PeerJ is a peer-reviewed open access scientific journal covering research in the field of biological and medical sciences. Every year the editors compile a ranking of the most popular scientific papers.

Theoretical physicists from Russia and Brazil are working together on a theory that describes novel superconducting materials with potentially high critical temperatures. The theory can explain many properties of superconductors with non-trivial topological properties, as well as of those with multiple condensates. In this interview, Prof. Mauro Doria from the Institute of Physics at the Federal University of Rio de Janeiro, Brazil, and Prof. Alexei Vagov from the Centre for Quantum Metamaterials, MIEM HSE, talk about their cooperation.

Applications for the fourth HSE University Competition of the Best Russian-language Scientific and Popular Science Papers will be accepted from February 1 to March 15. The authors that receive the highest scores from the expert jury will be awarded on June 6—Russian Language Day. The main goal of the competition is to support and promote Russian language as a language of science, as well as to popularise works affiliated with HSE University among the global Russian-speaking audience.