Let's go to the mountains: Yuri Dvornikov from RUDN University about climbing the Tien Shan
“It was not possible to reach the top, Khan Tengri peak at an altitude of 7010 meters - due to strong winds. In general, in three weeks there were only two flight windows to get to the camp from where the ascent was supposed to begin. I will never forget how I had to make an emergency overnight stay at an altitude of 6100 meters due to bad weather. Another story is how we set up a tent in very strong winds!” — Yuriy Dvornikov, Candidate of Geological and Mineralogical Sciences, junior researcher at the Smart Urban Nature Center of RUDN University.
This is not the first expedition for the scientist. There were trips to the Arctic, Antarctic, and high mountain regions. He climbed Elbrus, Kazbek, Kilimanjaro, Aconcagua and Lenin Peak, more than 20 expeditions in total.
“The route was interesting, but difficult. Lots of vertical walls - ice-rock, steep climbs. Initially, I planned a solo expedition, but there were 40 other climbers from different countries on the route with me,” — Yuri Dvornikov.
The key to success is good equipment, which should be light and functional. Otherwise, problems may arise when lifting.
“For example, my climbing crampons broke on the route, I had to go back and fix them. You also need to take only what you need with you. Every extra 200 grams at high altitude immediately makes itself felt,” — Yuri Dvornikov.
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.