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Regular version of the site

Tag «research projects»

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Illustration for news: Immortal Cells and Mathematics Reveal Mechanism behind Coronavirus Infection

Immortal Cells and Mathematics Reveal Mechanism behind Coronavirus Infection

A mathematical model has helped describe the course of infection caused by two variants of coronavirus: Omicron and Delta, and explain the differences between them. It appears that the cell entry rate is lower for Omicron, allowing infected cells ample time to alert neighbouring cells of the threat and trigger the activation of their innate immune response. In the future, the developed model could be employed to investigate any other variant of COVID-19, potentially leading to effective strategies for combating new hazardous strains, such as Pirola and JN.1. The findings from the study conducted with the participation of HSE researchers have been published in PeerJ.

Illustration for news: Workaholism Helps Young Narcissists Boost New Venture Performance

Workaholism Helps Young Narcissists Boost New Venture Performance

An international team of researchers including Professor Galina Shirokova, Director of the Strategic Entrepreneurship Centre at HSE University in St Petersburg, and her students Nailya Galieva and Diana Doktorova, examined the impact of narcissism on young entrepreneurs' success. The authors have demonstrated that a company founder's workaholism can amplify the influence of narcissism on a new venture's performance. 

Illustration for news: Production of the Future: AI Research Centre Presents Its Developments in Manual Operations Control Systems

Production of the Future: AI Research Centre Presents Its Developments in Manual Operations Control Systems

Researchers from the HSE AI Research Centre have built a system for the automated control of manual operations, which finds application in industrial production. The system facilitates the process of monitoring objects and actions, as well as controlling the quality of their execution.

Illustration for news: HSE University Satellites: Three Years in Orbit

HSE University Satellites: Three Years in Orbit

In March 2024, HSE University celebrated an important milestone — the third anniversary of the successful operation in orbit of its first CubeSX-HSE and CubeSX-Sirius-HSE satellites. These spacecraft, created on the basis of the CubeSat platform for Earth observation, continue to function actively, confirming high technological standards and reliability of the university's developments.

Illustration for news: Mathematicians Reveal the Mechanism behind Neuron Synchronisation: Hyperchaos

Mathematicians Reveal the Mechanism behind Neuron Synchronisation: Hyperchaos

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.

Illustration for news: Russian Scientists Pioneer Accurate Mathematical Description of Quantum Dicke Battery

Russian Scientists Pioneer Accurate Mathematical Description of Quantum Dicke Battery

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.

Illustration for news: Inverse Relationship Found between Propensity to Innovate and Academic Success

Inverse Relationship Found between Propensity to Innovate and Academic Success

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.’

Illustration for news: Cognitive Reappraisal of Negative Emotions Can Help Manage Stress

Cognitive Reappraisal of Negative Emotions Can Help Manage Stress

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.

Illustration for news: Scientists Model Turbulence at Atomic Level

Scientists Model Turbulence at Atomic Level

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.

Illustration for news: Researchers ‘Personalise’ the Selection of a Neural Network for Face Recognition on Smartphones

Researchers ‘Personalise’ the Selection of a Neural Network for Face Recognition on Smartphones

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.