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Regular version of the site

Tag «research projects»

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Friday, October 4

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.

Illustration for news: Research Results from HSE University Form Basis of UN Report on Volunteering

Research Results from HSE University Form Basis of UN Report on Volunteering

The first Regional State of Volunteering in Central Asia Review was presented at the UN Headquarters in New York as part of the annual High-Level Political Forum on Sustainable Development. The preparation of this document included the research conducted by the HSE Centre for Studies of Civil Society and the Nonprofit Sector (CSCSNS), with Viacheslav Ivanov, the Chief Expert of the Centre, serving as the lead author of the review.

Illustration for news: Spelling Sensitivity in Russian Speakers Develops by Early Adolescence

Spelling Sensitivity in Russian Speakers Develops by Early Adolescence

Scientists at the RAS Institute of Higher Nervous Activity and Neurophysiology and HSE University have uncovered how the foundations of literacy develop in the brain. To achieve this, they compared error recognition processes across three age groups: children aged 8 to 10, early adolescents aged 11 to 14, and adults. The experiment revealed that a child's sensitivity to spelling errors first emerges in primary school and continues to develop well into the teenage years, at least until age 14. Before that age, children are less adept at recognising misspelled words compared to older teenagers and adults. The study findings have beenpublished in Scientific Reports .

Illustration for news: HSE Researchers Demonstrate Effectiveness of Machine Learning in Forecasting Inflation

HSE Researchers Demonstrate Effectiveness of Machine Learning in Forecasting Inflation

Inflation is a key indicator of economic stability, and being able to accurately forecast its levels across regions is crucial for governments, businesses, and households. Tatiana Bukina and Dmitry Kashin at HSE Campus in Perm have found that machine learning techniques outperform traditional econometric models in long-term inflation forecasting. The results of the study focused on several regions in the Privolzhskiy Federal District have been published in HSE Economic Journal.

Illustration for news: Ruthenium Complexes Can Accelerate the Development of New Medicines

Ruthenium Complexes Can Accelerate the Development of New Medicines

A group of scientists at INEOS RAS, HSE University, and MIPT have synthesised catalysts containing a ruthenium atom and an aromatic ring. The scientists have isolated the mirror forms of these catalysts and investigated their effectiveness in producing heterocycles, which are commonly found in the structures of drugs. The research findings have been published in Chemical Communications.

Illustration for news: Connecting Space and Time: Bilinguals Associate Time with Space in Both Their First and Second Languages

Connecting Space and Time: Bilinguals Associate Time with Space in Both Their First and Second Languages

An international team of researchers including scientists at HSE University investigated how bilingual individuals associate time with space. It turns out that in both their first and second languages, people associate the past with the left side of space and the future with the right. In fact, the higher the proficiency in a second language, the more pronounced this relationship becomes. The study findings have been published in Scientific Reports.

Illustration for news: Meditation Can Cause Increased Tension in the Body

Meditation Can Cause Increased Tension in the Body

Researchers at the HSE Centre for Bioelectric Interfaces have studied how physiological parameters change in individuals who start practicing meditation. It turns out that when novices learn meditation, they do not experience relaxation but tend towards increased physical tension instead. This may be the reason why many beginners give up on practicing meditation. The study findings have been published in Scientific Reports.

Illustration for news: HSE Scientists Create Imperceptible but Robust Digital Watermark

HSE Scientists Create Imperceptible but Robust Digital Watermark

HSE scientists have developed an algorithm to protect digital images, significantly enhancing the security of multimedia data on the internet. The algorithm embeds watermarks into images; these watermarks are invisible to the human eye and capable of resisting various attacks. The results of the study have been published in Computers and Electrical Engineering.

Illustration for news: Reinforcement Learning Enhances Performance of Generative Flow Networks

Reinforcement Learning Enhances Performance of Generative Flow Networks

Scientists at the AI Research Centre and the AI and Digital Science Institute of the HSE Faculty of Computer Science applied classical reinforcement learning algorithms to train generative flow networks (GFlowNets). This enabled significant performance improvements in GFlowNets, which have been employed for three years in tackling the most complex scientific challenges at modelling, hypothesis generation, and experimental design stages. The results of their work achieved a top 5% ranking among publications at the International Conference on Artificial Intelligence and Statistics AISTATS, held on May 2-4, 2024, in Valencia, Spain.