The World at Your Fingertips
HSE University scientists have created a model for decoding finger movements for next-generation hand prostheses. This will allow users not only to grab objects, but also to gesticulate using the movements of each finger.
Russian Radio Astronomers Discover a Method for Predicting Solar Flares
Researchers from HSE in Nizhny Novgorod and the Pulkovo Astronomical Observatory (CAO RAS) examined data on microwave emissions from several active solar regions. Astronomers discovered that a few hours prior to a flare, there was an increase in oscillations in the region with the highest observed brightness of the microwave emission during the flare. This method can potentially be used to achieve more accurate predictions of severe solar flares. The study has been published in Geomagnetism and Aeronomy.
Memory Diagnostics: IT Solutions for Mental Health
High-level technology is becoming an integral part of healthcare, and no field of medicine can work without a computer. HSE University scientists have developed a multilingual tablet application ‘Rey Test’ — the first fully automated and effective tool for diagnosing auditory and verbal memory disorders.
Teaching Masters' Students and Conducting Lectures in English Boost Academic Productivity
HSE researchers have analysed teaching load data at the HSE campus in St Petersburg to investigate the potential impact of teaching on faculty research output. They found that factors such as teaching primarily masters' courses, conducting 20% of lectures in English, and supervising only one doctoral student per year were associated with a greater likelihood of producing more high-quality academic papers. The study has been published in Higher Education Quarterly.
Stimulating the Blood-Brain Barrier Can Help Patients with Alzheimer's
Researchers at HSE University and the Russian Academy of Sciences Institute of Molecular Biology have proposed investigating the response of the blood-brain barrier (BBB), the brain's natural filter that becomes disrupted by the disease, to transcranial brain stimulation. Understanding how the BBB changes during stimulation can, in theory, enhance treatment by facilitating more effective delivery of medications to the brain in the early stages of the disease, and by providing therapeutic support for brain function in the latter stages. The study has been published in Communications Biology.
‘Islamic Finance Appears to Be More Stable Than Conventional Banks’
HSE University’s Online Campus presents a new course—‘Islamic Finance: Theory and Practice in the 21st Century’. Elmira Imamkulieva, creator of the course and Senior Lecturer at the School of International Regional Studies of the Faculty of World Economy and International Affairs, explains how Islamic financing is more reliable than venture capital and why the green bonds common in the Arab world are the investment of the future.
At Sarov Technopark, Researchers from HSE Faculty of Computer Science Discussed AI for Data Analysis in Physics
The Laboratory of Methods for Data Analysis of the HSE Faculty of Computer Science, in collaboration with the All-Russian Research Institute of Experimental Physics (RFNC-VNIIEF, Sarov) and the National Centre for Physics and Mathematics, recently held the Second All-Russian School-Seminar on High Energy Physics and Accelerator Technology.
FCS Students Win at International Mathematics Competition
Three bachelor’s students from the HSE Faculty of Computer Science programme in ‘Applied Mathematics and Information Science’ recently participated in the International Mathematics Competition for University Students (IMC), winning two first prizes and a second prize.
‘Exploring Moscow in Summer is an Adventure Like No Other’
Ayomide Adedini, from Nigeria, is a second-year student of the Master's in Political Analysis and Public Policy.He is also the current Chair of the Council of the International Student Association (CISA) and Vice Chair of Dormitory 7. In his interview, Ayomide talks about broadening his horizons in HSE University’s student dorms and making the most of summer in Moscow.
AI Researchers Have Developed an Algorithm to Determine the Properties of Two-Dimensional Materials by Analysing their Defects
An international team of researchers with the participation of young scientists from the HSE Faculty of Computer Science and Artificial Intelligence Centre have developed a machine learning algorithm that can determine the properties of new 2D materials with point defects. The new method is 1000 times faster than quantum mechanical computations and 3.7 times more accurate than other machine learning algorithms. The results have been published in npj Computational Materials. The source code, dataset, and model weights are available in the repository under an open licence.