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Tag «publications»

Page 2 of 46
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Apr 15 2025 – Apr 18 2025
XXV Yasin (April) International Academic Conference on Economic and Social Development

Deadline for applications to present academic reports - January 20, 2025 

May 23 2025 – May 24 2025
7th International Russia Longitudinal Monitoring Survey of HSE User Conference

Deadline for proposal submission: March 23, 2025 

Illustration for news: HSE Scientists Propose Using Heart Rate Analysis to Diagnose Anxiety and Depression

HSE Scientists Propose Using Heart Rate Analysis to Diagnose Anxiety and Depression

A group of scientists at HSE University have discovered how anxiety and depression can be diagnosed by analysing heart rate. It turns out that under mental stress, the heart rate of individuals with a predisposition to mental health disorders differs from that of healthy individuals, especially when performing more complex tasks. These changes in cardiovascular parameters can even be detected using a pulse oximeter or a smartwatch. The study findings have been published in Frontiers in Psychiatry.

Illustration for news: Researchers at HSE in St Petersburg Develop Superior Machine Learning Model for Determining Text Topics

Researchers at HSE in St Petersburg Develop Superior Machine Learning Model for Determining Text Topics

Topic models are machine learning algorithms designed to analyse large text collections based on their topics. Scientists at HSE Campus in St Petersburg compared five topic models to determine which ones performed better. Two models, including GLDAW developed by the Laboratory for Social and Cognitive Informatics at HSE Campus in St Petersburg, made the lowest number of errors. The paper has been published in PeerJ Computer Science.

Illustration for news: HSE University Releases Global Ranking of Top Cities for High-Tech and Creative Industries

HSE University Releases Global Ranking of Top Cities for High-Tech and Creative Industries

Researchers at HSE ISSEK have released the third ranking of megacities based on their innovation attractiveness—HSE Global Cities Innovation Index 2024 (HSE GCII 2024). Moscow ranks ninth, while London, New York, and Tokyo lead the ranking. The top ten also include Beijing, San Francisco, Paris, Shanghai, Los Angeles, and Seoul. In addition to Moscow, 25 other Russian cities are among the top 1,000, including St. Petersburg (73), Novosibirsk (183), and others.

Illustration for news: Narcissistic and Workaholic Leaders Guide Young Firms to Success

Narcissistic and Workaholic Leaders Guide Young Firms to Success

Scientists at HSE University—St. Petersburg studied how the founder's personal characteristics impact a young firm's performance. It turns out that a narcissist and workaholic who also fosters innovation will effectively grow their company. The paper has been published in IEEE Transactions on Engineering Management.

Illustration for news: Biologists at HSE University Warn of Potential Errors in MicroRNA Overexpression Method

Biologists at HSE University Warn of Potential Errors in MicroRNA Overexpression Method

Researchers at HSE University and the RAS Institute of Bioorganic Chemistry have discovered that a common method of studying genes, which relies on the overexpression of microRNAs, can produce inaccurate results. This method is widely used in the study of various pathologies, in particular cancers. Errors in experiments can lead to incorrect conclusions, affecting the diagnosis and treatment of the disease. The study findings have been published in BBA

Illustration for news: HSE Scientist Optimises Solution of Hydrodynamics Problems

HSE Scientist Optimises Solution of Hydrodynamics Problems

Roman Gaydukov, Associate Professor at the MIEM HSE School of Applied Mathematics, has modelled the fluid flow around a rotating disk with small surface irregularities. His solution allows for predicting fluid flow behaviour without the need for powerful supercomputers. The results have been published in Russian Journal of Mathematical Physics.

Illustration for news: Neuroscientists from HSE University Learn to Predict Human Behaviour by Their Facial Expressions

Neuroscientists from HSE University Learn to Predict Human Behaviour by Their Facial Expressions

Researchers at the Institute for Cognitive Neuroscience at HSE University are using automatic emotion recognition technologies to study charitable behaviour. In an experiment, scientists presented 45 participants with photographs of dogs in need and invited them to make donations to support these animals. Emotional reactions to the images were determined through facial activity using the FaceReader program. It turned out that the stronger the participants felt sadness and anger, the more money they were willing to donate to charity funds, regardless of their personal financial well-being. The study was published in the journal Heliyon.

Illustration for news: Physicists from Russia and Brazil Unveil Mystery behind Complex Superconductor Patterns

Physicists from Russia and Brazil Unveil Mystery behind Complex Superconductor Patterns

Scientists at HSE MIEM and MIPT have demonstrated that highly complex spatial structures, similar to the intricate patterns found in nature, can emerge in superconductors. Mathematically, these patterns are described using the Ginzburg–Landau equation at a specific combination of parameters known as the Bogomolny point. The paper has been published in the Journal of Physics: Condensed Matter.

Illustration for news: Adhesive Tape Helps Create Innovative THz Photodetector

Adhesive Tape Helps Create Innovative THz Photodetector

An international team of researchers, including scientists at HSE University and Moscow Pedagogical State University (MPGU), has developed a novel photodetector composed of a thin superconducting film, capable of detecting weak terahertz (THz) radiation. This discovery holds promise for studying objects in space, developing wireless broadband communication systems, and making advancements in spectroscopy. The study has been published in Nano Letters.

Illustration for news: Operation of Cellular Networks Found Similar to Bacteria Growth in Petri Dish

Operation of Cellular Networks Found Similar to Bacteria Growth in Petri Dish

Scientists at the HSE Laboratory for Computational Physics have developed a new model for analysing communication networks that can significantly enhance the speed of mobile communications. To achieve this, the researchers used computational physics methods and phase transition models. It turns out that the functioning of cellular networks is in many ways similar to the growth of surfaces in physics. The study was performed using the HPC cHARISMa cluster at HSE University. The study findings have been published in Frontiers in Physics.