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Tag "publications"

A University's Special Status Is Correlated with a Substantial Increase in Salaries for Graduates

A University's Special Status Is Correlated with a Substantial Increase in Salaries for Graduates
A university education is a highly sought-after commodity in Russia, yet the quality of universities and their programmes varies significantly. This gives rise to risks of inequality, both in the realm of education and in the labour market, and subsequently impacts the returns on higher education, which are manifested in the salaries earned by graduates. According to a study by Ilya Prakhov, Assistant Professor of the HSE Faculty of Economic Sciences, graduates from Russia’s top-tier universities enjoy a distinct advantage. The paper has been published in the International Journal of Educational Development.

Nanai and Chukchi Found Intolerant to 'Mushroom Sugar'

Nanai and Chukchi Found Intolerant to 'Mushroom Sugar'
A team of researchers from HSE University, the RAS Research Centre for Medical Genetics, and the Moscow State University Institute of Anthropology have examined the impact of the human genotype on the production of trehalase, an enzyme responsible for metabolising 'mushroom sugar'. The researchers examined 1,068 DNA samples collected from inhabitants of northern and Arctic regions of Russia and found that the overall risk of trehalase deficiency in certain indigenous northern populations can be as high as 60–70%. The paper has been published in Problems of Nutrition.

News Finds You: HSE Researchers Study Media Consumption of People Who Avoid News

News Finds You: HSE Researchers Study Media Consumption of People Who Avoid News
News avoidance is a global phenomenon that affects millions of people around the world. Despite their conscious refusal to consume media content, many argue that the most important news still finds them. Researchers at the HSE Laboratory for Studies in Economic Sociology have studied how people perceive the ‘news-finds-me’ effect. The results of the study were published in the Bulletin of Moscow University.

HSE Researchers Examine Wellbeing of Russian Social Media Users and Rank Public Holidays by Popularity

HSE Researchers Examine Wellbeing of Russian Social Media Users and Rank Public Holidays by Popularity
Researchers of the HSE Graduate School of Business trained a machine-learning (ML) model to infer users' subjective wellbeing from social media posts. Having processed 10 million tweets, the researchers compiled a rating of holidays celebrated in Russia based on their popularity. The New Year tops the list, but Russian-speaking users of Twitter are also happy to celebrate Defender of the Fatherland Day, International Women's Day, and Halloween. The study findings have been published in PeerJ Computer Science.

Good Deeds Bring Moral Satisfaction to Russians

Good Deeds Bring Moral Satisfaction to Russians
Researchers from HSE University have analysed why people feel happier when they help others. It turns out that joy is caused by different reasons, depending on who we help — relatives or strangers. In both cases, happiness brings moral satisfaction from doing a good deed, but helping loved ones is also associated with satisfying the need for belonging and acceptance, while helping strangers provides a sense of autonomy. The results of the research were published in the Journal of Social and Personal Relationships.

Russian Radio Astronomers Discover a Method for Predicting Solar Flares

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.

Teaching Masters' Students and Conducting Lectures in English Boost Academic Productivity

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

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.

Alcohol Consumption Patterns Vary Across Social Groups in Russia, According to HSE Research

Alcohol Consumption Patterns Vary Across Social Groups in Russia, According to HSE Research
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.

AI Researchers Have Developed an Algorithm to Determine the Properties of Two-Dimensional Materials by Analysing their Defects

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.