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.
Imagine a world where everyone has enough food, clean water, access to education, and decent work. A world where nature is protected and the future of our planet is cared for. These are the Sustainable Development Goals—to achieve a sustainable future for all! To this end, in 2015, the United Nations (UN) defined 17 Sustainable Development Goals (SDGs). The SDGs are a global plan that helps countries and people work together towards a better future. All 193 UN member states have joined the plan.
Researchers from the Faculty of Artificial Intelligence at RUDN University conducted a large-scale study that revealed systemic errors in large language models (LLMs) when diagnosing depression based on text. This work, carried out in collaboration with colleagues from AIRI, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow Institute of Physics and Technology, and MBZUAI, not only identifies the problem but also lays the foundation for the creation of more reliable and secure tools for detecting depression and anxiety.
Alexandra Sentyabreva, a junior researcher at the Laboratory of Cell Technologies and Tissue Engineering at RUDN Research Institute of Molecular and Cellular Medicine at the Russian University of People's Friendship, won the competition for young scientists at the All-Russian Scientific Conference “Topical Issues of Morphogenesis in Norm and Pathology.” She was awarded the Academician A.P. Avtsyn Prize.
Imagine a world where everyone has enough food, clean water, access to education, and decent work. A world where nature is protected and the future of our planet is cared for. These are the Sustainable Development Goals—to achieve a sustainable future for all! To this end, in 2015, the United Nations (UN) defined 17 Sustainable Development Goals (SDGs). The SDGs are a global plan that helps countries and people work together towards a better future. All 193 UN member states have joined the plan.
Researchers from the Faculty of Artificial Intelligence at RUDN University conducted a large-scale study that revealed systemic errors in large language models (LLMs) when diagnosing depression based on text. This work, carried out in collaboration with colleagues from AIRI, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow Institute of Physics and Technology, and MBZUAI, not only identifies the problem but also lays the foundation for the creation of more reliable and secure tools for detecting depression and anxiety.
Alexandra Sentyabreva, a junior researcher at the Laboratory of Cell Technologies and Tissue Engineering at RUDN Research Institute of Molecular and Cellular Medicine at the Russian University of People's Friendship, won the competition for young scientists at the All-Russian Scientific Conference “Topical Issues of Morphogenesis in Norm and Pathology.” She was awarded the Academician A.P. Avtsyn Prize.