RUDN University scientists described methods of combating diabetes and hepatitis C at a conference in the United States « Diabetes Global -2017»
The conference was attended by more than 100 participants from the United States, Russia, Egypt, Australia, India, Mexico, South Africa, Nepal. The main topics were dedicated to issues of diabetes and metabolic disorders, complications of diabetes, modern methods of prevention and treatment. Accordind to the opinions of our professors, particular attention should be paid to the topic of «Nursing Care», because in Russia it is not yet represented either in the educational or in the practical sector.
Professor Irina Alekseevna Kurnikova, published more than 30 articles in reputed journals, the author of 25 books and tutorials in Russian language, 10 inventions (patents), leading expert in the field of diagnostics, treatment, rehabilitation of diabetic and thyroid diseases,< the key speaker of the conference, presented the report «The role of autoimmune neuropathy in the formation and progression of arterial hypertension in patients with type 2 diabetes mellitus». The publication of the full version of the report showed interest in two scientific journals - «Journal of Diabetes and Metabolism» and «Medical and Clinical Research». Also as chairman Irina Alekseevna Kurnikova, held one of the sessions.
Associate Professor Tarasova, in her turn, made a plenary report «Antiviral drug interferon in combination with metformin in the treatment of viral hepatitis C» with the HCV-1 genotype and insulin resistance».
International conferences on diabetes and endocrinology are held regularly in the US and Europe under the support of Program Diabetes Global. Russian specialists rarely take part in them, but after the conference in Charlotte, the RUDN University scientists received invitations to other European and American scientific forums.
RUDN summarized the results of the scientific competition "Project Start: work of the science club ". Students of the Faculty of Physics, Mathematics and Natural Sciences have created a project for a managed queuing system using a neural network to redistribute resources between 5G segments. How to increase flexibility, make the network fast and inexpensive and reach more users — tell Gebrial Ibram Esam Zekri ("Fundamental Computer Science and Information Technology", Master's degree, II course) and Ksenia Leontieva ("Applied Mathematics and Computer Science", Master's degree, I course).
The National Demographic Report, 2023 Demographic Well-Being of Russian Regions (hereinafter - the National Demographic Report) was prepared by the scientific team of the Institute of Demographic Studies of the Federal Research Center of the Russian Academy of Sciences, the Vologda Scientific Center of the Russian Academy of Sciences, Peoples' Friendship University of Russia, the Center for Family and Demography of the Academy of Sciences of the Republic of Tatarstan, as well as with the participation of leading scientists from the Republic of Bashkortostan, Stavropol Krai, Volgograd, Ivanovo, Kaliningrad, Nizhny Novgorod, Sverdlovsk Oblasts and Khanty-Mansi Autonomous Okrug–Yugra.
RUDN summarized the results of the scientific competition "Project Start: work of the science club ". Students of the Faculty of Physics, Mathematics and Natural Sciences have created a project for a managed queuing system using a neural network to redistribute resources between 5G segments. How to increase flexibility, make the network fast and inexpensive and reach more users — tell Gebrial Ibram Esam Zekri ("Fundamental Computer Science and Information Technology", Master's degree, II course) and Ksenia Leontieva ("Applied Mathematics and Computer Science", Master's degree, I course).
What is your first association with the word “laboratory”? Flasks and beakers? Microscopes and centrifuges? Yes, many of us would answer the same way.
The National Demographic Report, 2023 Demographic Well-Being of Russian Regions (hereinafter - the National Demographic Report) was prepared by the scientific team of the Institute of Demographic Studies of the Federal Research Center of the Russian Academy of Sciences, the Vologda Scientific Center of the Russian Academy of Sciences, Peoples' Friendship University of Russia, the Center for Family and Demography of the Academy of Sciences of the Republic of Tatarstan, as well as with the participation of leading scientists from the Republic of Bashkortostan, Stavropol Krai, Volgograd, Ivanovo, Kaliningrad, Nizhny Novgorod, Sverdlovsk Oblasts and Khanty-Mansi Autonomous Okrug–Yugra.