Siberian Federal University (Russian: Сибирский федеральный университет, Sibirskiĭ federalʹnyĭ universitet, often shortened to SibFU, СФУ) is a multidisciplinary university located in Krasnoyarsk in Siberia, that combines fundamental and applied research and teaching.It is the first federal university in Russia that attained the highest category of Russian educational and research institutions, along with the Lomonosov Moscow State University and St. Petersburg State University.[citation needed]The university holds positions in Russian universities' rankings: 9th place (AA+) in the ARES-2020 Russian Universities Ranking; 12th — 14th place in the Total National Rating of Universities (rating is composed by Interfax and Echo of Moscow); 7th — 8th place in the section "Innovations and Entrepreneurship", 6th — 10th place in the section "Education". It was also awarded 4 stars in QS University Rating.The Siberian Federal University was ranked #14 among Russian universities in the international rankings "Web of Science" (composed by Thomas Reuters) and "Ranking Web of World Universities".The chairman of the university's board of trustees is Dmitry A. Medvedev, Deputy Chairman of the Security Council and the former President and Prime Minister of the Russian Federation.The Siberian Federal University participates in the international collaboration and integration into international research and education space.The universities' fundamental and applied research is closely connected with Institutions of the Siberian Division of the Russian Academy of Sciences; many scienties from these institutions are professors and lecturers in the SibFU. The Siberian Federal University has its own university press, which includes the Scientific Journal of the Siberian Federal University.[citation needed]The university was established in 2006 by merging four universities of Krasnoyarsk city that had been training professionals in the most competitive sectors of economy in Siberia and the Far East: Krasnoyarsk State University, Krasnoyarsk State Technical University, Krasnoyarsk State Academy of Architecture and Construction and Krasnoyarsk State University of Non-Ferrous Metals and Gold.[citation needed] Siberian Federal University is a higher educational institution in Siberia and consists of 19 institutes with more than 3,000 faculty staff teaching 41,000 students.
In this research, a novel technology for producing Al–B alloys by treating aluminium ingots with boron processed in a low-frequency arc discharge plasma (66 kHz) is described. Argon was employed as both the plasma-forming and transport gas. Fullerenes were used to reduce the aluminium oxide film that forms on the surface of the ingots. The study presents data on the morphology, microstructure and distribution of boron particles within the aluminium alloy. Results from X-ray fluorescence analysis indicate that the boron content in aluminium is 7.8 (± 2.5) wt
The paper describes a method of concentration and visualization of data on the learning process based on intelligent tutoring systems. There is a synthesis of a combined cognitive map of knowledge diagnosis and of its simplified version at the metric concentration stage. The combination of methods of recommender systems and fuzzy logic and ideas of applied semiotics are discussed. These allow not only to concentrate and visualize data in the form of a combined simplified map, but also to enhance the efficiency of decisions made by the tutoring system (including display of explanatory text). The proposed data concentration and visualization method is implemented on the basis of an experimental intelligent tutoring system as part of the concept of a cross-cutting approach to decision-making. The process of synthesizing a combined cognitive map of knowledge diagnosis and its simplification is described. The findings of an experiment in the educational process of the master’s program of the Siberian Federal University show the overall effectiveness of the method and suggest further study of issues related to the use of cognitive visualization in an intelligent tutoring system.
The development of advanced technologies such as oxy-fuel pulverized-fuel combustion will solve a number of problems and improve the environmental impact of burning hydrocarbon fuels (including waste) at power plants. In this work, experiments were conducted on a laboratory setup to study the self-ignition of droplets of a coal–water slurry in a tubular reactor. The dependence of the ignition induction period on the concentration of oxygen and carbon dioxide under adiabatic conditions was investigated. It has been shown that increasing the O_2 concentration by 1 vol CO_2 concentration in the flow at the same oxygen concentration does not have a significant effect on the ignition time under these conditions.
The problem of elastic-plastic torsion of rolled section rods reinforced with elastic fibers is considered. The conservation law method was used to solve the problem. Based on the analytical solution, computer programs were developed to find the rod’s elastic-plastic boundary. The program’s results are presented for various values of the torsional parameter for T-beam, H-beam, channel, cross, and Z-shaped rods. The calculations were performed on a personal computer; the time required to construct the elastic-plastic boundaries presented in the article ranges from 35 to 90 min, depending on the rod type.
Although larch (Larix spp.) trees dominate the Siberian boreal forest, the species' genetic structure within the world's largest forest biome is still poorly understood. Here, we compile and analyze genetic data from six boreal populations of three putative larch species (Larix sibirica Ledeb., Larix gmelinii (Rupr.) Rupr., and Larix cajanderi Mayr) from disjunct sites distributed across much of the Russian northern taiga between 60 and 170 degrees E. Using nine nuclear microsatellite markers (nSSR), we find high genetic diversity (mean HE = 0.757) and allelic richness (mean AR = 9.289) within all populations. Our analyses reveal two main genetic lineages: a western lineage corresponding to L. sibirica and an eastern lineage comprising L. gmelinii and L. cajanderi. Active hybridization connects these lineages across their contact zone. Our findings not only provide insights into the biogeographic structure and evolution of Eurasia's boreal forest, but also highlight the need for spatially explicit and better replicated genetic studies to resolve remaining taxonomic uncertainties.
