Tag "publications"

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.

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. 

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.

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.

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.

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.