News

HSE University has signed a cooperation agreement with the Centre of Information and Arabian-Russian Studies (CIARS) of Saudi Arabia. The agreements reached will contribute to strengthening and advancement of cooperation in the areas of education, research, and culture between HSE University and scientific and educational institutions in the Kingdom of Saudi Arabia.

Scientists of the International Laboratory of Dynamic Systems and Applications at HSE Campus in Nizhny Novgorod have described a rare case of synchronisation in a system of chemically coupled neuron models. The study findings enable a mathematical description of atypical brain functioning modes, including those associated with neurodegenerative diseases. The study has been published in Regular and Chaotic Dynamics.

Physicists at HSE University and NUST MISIS have formulated and solved equations for a quantum battery, a device capable of storing energy in the form of light. Their findings will facilitate precise calculations of the capacity, power, and duration required for optimal battery charging. Quantum batteries are expected to improve the performance of solar panels and electric vehicles, while also opening up new avenues for efficient energy transfer. The study has been published in Physical Review A.

Mariia Evdokimova and Anastasia Stepanova, employees of HSE University’s Faculty of Economic Sciences, studied the connection between students’ personal characteristics and their desire to create something new. The researchers have found that students’ propensity to innovate lowers their GPA. The results of the work were published in the preprint ‘Students’ Propensity to Innovate: Correlates, Determinants, and Impact on GPA.’

Researchers at the HSE International Laboratory of Social Neurobiology assessed the effectiveness of two strategies for regulating emotions: reappraisal and suppression. Having analysed data on the electrical activity of 60 individuals’ brains, the scientists discovered that both approaches put additional strain on the nervous system. It was also found that individuals who are prone to emotional contagion tend to be more effective in using reappraisal and managing negative emotions. The paper has been published in Experimental Brain Research.

Participants at the World Youth Festival, together with HSE University specialists, have developed a working model of a small spacecraft using blockchain technology. Future engineers aged 14-18 from Algeria, Serbia,  and Kyrgyzstan, as well as different regions of Russia took part in this project.

Researchers at HSE University and the RAS Kurnakov Institute of General and Inorganic Chemistry have developed a simplified and cost-effective method for synthesising layered rare earth hydroxides using propylene oxide. This reagent helps streamline the process and reduce its duration by several hours. In the future, this method is expected to facilitate the synthesis of various hydroxide-based hybrid materials, including photocatalysts for water purification and luminescent materials for solid-phase thermometers. The paper has been published in the Russian Journal of Inorganic Chemistry.

The market for biological products and their analogues is one of the most promising in the pharmaceutical industry. BRICS countries currently have great opportunities to develop this segment. The International BRICS Competition Law and Policy Centre at HSE University, together with the Institute of Chemical Technology, Mumbai, held a meeting of the BRICS Working Group for the Research of Competition Issues in Pharmaceutical Markets.

Scientists at HSE University and MIPT have developed a supercomputer-based method to model fluid flows at atomistic scales making it possible to describe the emergence of turbulence. The researchers used the supercomputers cHARISMa and Desmos to compute the flow of a fluid consisting of several hundred million atoms. This method is already being used to simulate the flow of liquid-metal lead coolant in a nuclear reactor. The paper has been published in The International Journal of High Performance Computing Applications.

Researchers from HSE University in Nizhny Novgorod, MISIS and the Artificial Intelligence Research Institute (AIRI) have developed an algorithm that selects the best available neural network for facial recognition, taking into account the features of a mobile device. This new approach accelerates the selection of the most suitable neural network and allows the identification of people with an accuracy rate of up to 99%. The study was published in the IEEE Access journal. The source code is available on GitHub.