Tag "research projects"

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.

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.

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.

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.

Although there is a larger percentage of drinkers among high-status professionals and executives compared to low-status workers, the former consume less alcohol. This is one of the findings of a study carried out by researchers of the HSE Faculty of Economic Sciences and published in Voprosy Statistiki.

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.

Researchers from HSE University and Sber Artificial Intelligence Lab are using AI to predict the location of DNA fragments in the genome which can flip over and form a mirror structure known as Z-DNA. The scientists have found that these DNA fragments overlap with known mutations which can cause severe hereditary diseases and impact a person's health, height, weight, cholesterol levels, and even determine their hair colour. The study findings have been published in Life Science Alliance.

Researchers at the HSE Artificial Intelligence Centre have created software for predicting the location of elements of the human genome. The scientists used deep learning methods based on complex data on various human molecular components. The research followed the objectives of the ‘Artificial Intelligence’ federal project of the ‘Digital Economy’ national project.

Researchers from the International Laboratory of Dynamical Systems and Applications at the HSE Campus in Nizhny Novgorod have discovered that the use of systems with hyperbolic solenoid attractors and repellers can lead to issues in the transmission of communication signals. The findings of this study have been published in Results in Mathematics. The research was financed by a substantial grant from the Russian Government as part of the 'Science and Universities' National Project and a further grant from the Russian Science Foundation.

Researchers from HSE University will receive funding from the Russian Science Foundation to study such forms of student employment as freelancing, self-employment, and entrepreneurship, all of which have been actively developing in recent years. The research will shed light on the new opportunities and challenges encountered by students and early-career specialists in the labour market. It will also aid in the development of effective strategies for their successful adaptation and development.