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News
June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
June 5, 2026
‘In the Age of Technology, It Is Interesting to Look into the Past and Think about What We Can Take from It
Polina Tabakova decided to apply for a Philology degree at HSE in Nizhny Novgorod because she grew up in Mari El and did not want to move far away from the Russian forests. In an interview for the Young Scientists of HSE University project, she spoke about the genre of the campus novel, the existential drama of Kolobok, and a blackout version of Eugene Onegin.
June 5, 2026
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.

 

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Информированность врачей как составляющая медицинской детерминанты общественного здоровья (на примере определения уровня знаний врачей-педиатров о ранней диагностике и лечении мышечной дистрофии Дюшенна)

Сибирский научный медицинский журнал. 2025. Т. 45. № 1. С. 212–220.
Сакбаева Г. Е., Русских С. В., Васильева Т. П., Гремякова Т. А., Степанов А. А., Tarasenko E. A.

 Duchenne muscular dystrophy is a rare progressive neuromuscular disease that is diagnosed in early childhood and leads to a significant reduction in life expectancy. Based on clinical guidelines, the authors of this article developed a questionnaire for pediatricians to determine the knowledge of primary care physicians about early diagnosis and treatment of patients with this rare genetic disease.

   Material and methods. Using the method of quantitative sociological survey, we determined the awareness of pediatricians about a rare genetic disease. The basis for the quantitative analysis was data from an online survey with 609 respondents who were pediatricians.

   Results and its discussion. Less than half of the respondents (48 %) showed a high level of knowledge, were ready to diagnose the disease correctly, to carry out dispensary monitoring of patients. Every third respondent has knowledge that is insufficient to diagnose and manage patients with Duchenne muscular dystrophy. Also, during the survey, the authors of the article found out the opinion of pediatricians about the sufficiency and/or insufficiency of their knowledge in the management of patients, as well as their preferences in channels for obtaining new information about this disease.

   Conclusions. Pediatricians play a major role in the early diagnosis of Duchenne muscular dystrophy. In this regard, the training of pediatricians in accordance with the new clinical guidelines should be included in the training and improvement of doctors’ knowledge. Addressing this issue could lead to significant clinical and economic benefits.

Research target: Health Studies Economics and Management Education
Language: Russian
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DOI
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Keywords: quality of medical careкачество оказания медицинской помощиearly diagnosisранняя диагностика medical determinant of public healthмедицинская детерминанта общественного здоровьяDuchenne muscular dystrophyawareness of doctors personnel training genetic determinant of healthмышечная дистрофия Дюшеннаинформированность врачей подготовка кадров генетическая детерминанта общественного здоровья,
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