scholarly journals Database of anthropogenic vegetation of the Urals and adjacent territories

2021 ◽  
Vol 38 ◽  
pp. 00037
Author(s):  
Yaroslav Golovanov ◽  
Larisa Abramova
Keyword(s):  
Average Height ◽  
Solidago Canadensis ◽  
Global Index ◽  
The Urals ◽  
Republic Of Bashkortostan ◽  
Anthropogenic Vegetation ◽  
Hordeum Jubatum ◽  
The Russian Federation ◽  
The Republic ◽  
Echinocystis Lobata

The main data on the geobotanical database – Database of antropogenic vegetation of Urals and adjacent territories registered in the Global Index of Vegetation-Plot Databases and the European Vegetation Archive are presented. The database includes more than 4,000 complete geobotanical relevés made between 1984 and 2020. The database contains the territories of 3 subjects of the Russian Federation (the Republic of Bashkortostan, Orenburg, Chelyabinsk regions) and 1 - the Republic of Kazakhstan (Aktobe region). For each relevés, a complete list of species with indication of abundance in points on the Braun-Blanquet scale. The main indicators (total cover, average height of the grass, etc.). For most descriptions, GPS coordinates and location are given. The ecological conditions were assessed with use of average values of E. Landolt scale. In the J. Braun-Blanquet classification system, all communities included in the database belong to nine vegetation classes (7 anthropogenic and 2 semi-natural), 75 associations and various types of communities. Geobotanical relevés with the dominance of such aggressive invasive species (Acer negundo, Ambrosia psylostachya, Echinocystis lobata, Elodea canadensis, Solidago canadensis, Heracleum sosnowskyi, Hordeum jubatum, Xanthium albinum etc.) are also included in the database.

SPECIALIZATION OF GRAIN PRODUCTION BY ZONE IN THE REPUBLIC OF BASHKORTOSTAN

2021 ◽  
Vol 0 (3) ◽  
pp. 45-49
Author(s):  
S.SH. ASLAEVA ◽  
◽  
R.F. GATAULLIN ◽  
Keyword(s):  
High Volume ◽  
Forest Steppe ◽  
Grain Production ◽  
Natural Conditions ◽  
Main Condition ◽  
Republic Of Bashkortostan ◽  
General Scientific ◽  
The Subject ◽  
The Russian Federation ◽  
The Republic

The main condition for specialization in agriculture is the production of those products for which there is the most favorable natural environment. The purpose of our study is to determine the nature of territorial specialization in grain production based on the level and its dynamics. The object of the research is the agriculture of the Republic of Bashkortostan, which is one of the leading in the Russian Federation. The subject of the research is the factors of formation of territorial specialization of grain production. The work was carried out on the basis of the application of general scientific research methods within the framework of comparative, logical, statistical analysis and graphic interpretation of the results. The territory of the Republic of Bashkortostan is divided according to the complex of natural conditions, respectively, and according to the peculiarities of agriculture, into six zones. We have grouped municipal districts according to the volume of grain production in statics and in dynamics. A map of the municipal districts of the Republic of Bashkortostan for the production of grain by agricultural zones has been built. It was revealed that the dynamics of grain production in the republic has a multidirectional character. In terms of grain production, many regions of the region are promising territories, which, despite the low volume of production, are characterized by positive dynamics, as well as stagnant territories, which are characterized, despite the high volume of production, by negative dynamics. Areas in which grain production is higher than the average for the region are located in agricultural zones belonging to the Southern forest-steppe, the Ural steppe, and the Trans-Ural steppe. But at the same time, in many areas of the Cis-Ural and Trans-Ural steppe, grain production is also increasing, many of them have grain-growing specialization. In the regions located in the southern forest-steppe, grain production is below the average level in the republic, sunflower is most of all cultivated. Agriculture in the republic must be developed in the direction of creating specialized zones, which will allow lower costs to ensure the growth of production. At the same time, the organizational and economic mechanism must change in such a way as to stimulate the specialization and concentration of production.

scholarly journals Study of actual nutrition in modern student youth

2020 ◽  
Vol 99 (3) ◽  
pp. 291-297
Author(s):  
Елена Юрьевна Горбаткова
Keyword(s):  
Russian Federation ◽  
State Policy ◽  
Nutritional Composition ◽  
The State ◽  
Fields Of Study ◽  
Healthy Nutrition ◽  
Republic Of Bashkortostan ◽  
The Russian Federation ◽  
The Republic

One of the most important factors affecting the health of modern youth is nutrition. Taking into account the timeliness of this problem, a research aimed at improving the quality of nutrition for students of higher education institutions of various fields of study (Ufa, the Republic of Bashkortostan) was executed. A software directed at studying the nutritional composition of the diet of students was developed, registered and tested. The development and implementation of the program were carried out taking into account regional features of nutrition of the population of the Republic of Bashkortostan. The food ration of university students of various fields of study was also evaluated according to food groups. The insufficiency of the daily ration based on a number of indics was revealed (according to nutritional composition and food products. The nutritional status of students according to the level of insufficiency of daily intake of nutrients in order to identify the degree of risk of abnormalities in the state of health development was evaluated also. According to the document of the Government of the Russian Federation “Fundamentals of the state policy of the Russian Federation in the field of healthy nutrition of the population for the period until 2020”, implementation the development of a set of measures aimed at reducing the prevalence of diseases associated with nutrition is one of the main directions of the state policy in the field of healthy nutrition. In this regard, a conceptual medical-pedagogical model aimed at forming a system of values in relation to healthy lifestyle among students was developed. Currently, there was executed an evaluation of the effectiveness of this model in the educational process of the M. Akmulla Bashkir State Pedagogical University. There was also been studied content of macro- and microelements in the venous blood of the students based on the changes in the quality of nutrition. There was also conducted analysis of hygienic conditions of students’ educational environment of leading universities in Ufa (the Republic of Bashkortostan).

Current trends in the use and payment of labor

2020 ◽  
pp. 12-18
Author(s):  
N. T. Rafikova ◽  
T. S. Trofimchuk
Keyword(s):  
Statistical Analysis ◽  
Russian Federation ◽  
Current Trends ◽  
Republic Of Bashkortostan ◽  
The Russian Federation ◽  
The Republic

The authors present the results of statistical analysis of the use of labor in the Russian Federation and, in particular, in agriculture of the Republic of Bashkortostan.

scholarly journals Social Development Forecast for Russian Regions

2018 ◽  
Vol 22 (6) ◽  
pp. 132-152
Author(s):  
L. G. Cherednichenko ◽  
R. V. Gubarev ◽  
E. I. Dzyuba ◽  
F. S. Fayzullin
Keyword(s):  
Neural Network ◽  
Social Development ◽  
Russian Federation ◽  
Objective Assessment ◽  
Russian Regions ◽  
Republic Of Bashkortostan ◽  
The Social ◽  
The Russian Federation ◽  
The Republic ◽  
Regions Of Russia

The objective of the article is to offer a proprietary technology for assessment and forecasting of social development of Russian regions. The methodological basis of the study is neural network technology (a Bayesian ensemble of dynamic neural networks of different configurations is formed) that ensure high accuracy of the forecast. The authors developed a methodology for assessing the social potential of the Russian regions. They have also designed a system of private indicators characterising the level of social development of Russian regions. The indicators have been divided into five groups: 1) population (life expectancy); 2) standard of living of the population; 3) education; 4) health care (morbidity); 5) research and innovation. The private indicators have been made comparable by normalizing their values by means of “Pattern” method. This method allows the objective assessment of the interregional “gaps” in the country across the entire system of social indicators. The social development index of the subjects of the Russian Federation has been calculated. Based on neural network technologies (Kohonen self-organizing maps) clustering of regions of Russia regarding social development has been conducted. The forecast of the social development of the Russian regions has been made. Due to the forecast, it has been established that in the leading region of the Russian Federation (Moscow) in 2017-2019 the decrease is expected in the index of social development in comparison with 2014-2016. In another leading region of the Russian Federation (St. Petersburg) the decline in comparison with 2016 is expected in the medium term. At the same time, for the Republic of Bashkortostan in 2017-2019, just a slight decrease in the level of social development is forecasted. However, it is expected that the Republic will still lag significantly behind the leading regions of Russia by social development. The example of the Republic of Bashkortostan helped to discover that the lag in social development can be explained by the “gap” in research and innovations. The authors have concluded that it is necessary to improve the effectiveness of social policy at the regional level. Thus, it is necessary not only to increase financing of the social sphere of the subjects of the Russian Federation, but also to ensure proper control of budget spending. The developed methodology can be an effective tool for forecasting and managing social development of the Russian regions by the relevant ministries and departments.

scholarly journals Ecological and physiological assessment of the elemental status in the adult population of the Republic of Bashkortostan

2019 ◽  
Vol 95 (6) ◽  
pp. 533-538 ◽  
Author(s):  
A. V. Skalny ◽  
Elena S. Berezkina ◽  
V. A. Demidov ◽  
A. R. Grabeklis ◽  
M. G. Skalnaya
Keyword(s):  
Chemical Elements ◽  
Adult Population ◽  
The Body ◽  
Republic Of Bashkortostan ◽  
Icp Ms ◽  
Physiological Assessment ◽  
Elemental Status ◽  
The Russian Federation ◽  
The Republic ◽  
The Impact

The study of elemental status was carried out as a result of a multielement analysis of hair by ICP-MS within the framework of the Federal Program "National System of chemical and biological security of the Russian Federation, 2009-2014". This parameter is an index of the impact of the environment on the body. A total of 1,138 adult residents of the Republic of Bashkortostan (624 women and 514 men aged of25-50 years) were examined. The features of the element status of the adult population of the Republic were shown. The obtained data can be used as reference values of chemical elements in the hair of the adult population of the Republic of Bashkortostan.

scholarly journals ASSESSMENT OF GREEN AREA IN THE TERRITORY OF THE REPUBLIC OF BASHKORTOSTAN

2021 ◽  
Vol 11 (1) ◽  
pp. 36-44
Author(s):  
Mariya Martynova
Keyword(s):  
Russian Federation ◽  
European Part ◽  
Forest Steppe ◽  
The South ◽  
Forest Park ◽  
Steppe Region ◽  
Republic Of Bashkortostan ◽  
Green Zone ◽  
The Russian Federation ◽  
The Republic

The results of assessing allocation, territorial distribution of green zones of the Republic of Bashkortostan are given and the standard area of the green zone of the republic's settlements is calculated. In the forest fund of the republic on an area of 300.29 thousand hectares, green zones have been allocated on the territory of 27 out of 31 forestry districts. The largest areas of green zones (thousand hectares) are allocated in Ufa (55.569, including forest park zone 3.280), Dyurtyulinsky (25.904), Sterlitamak (26.875, including forest park zone 4.873) and Yanaulsky (19.724, including forest park zone 0.809) forestry. The lack of green zones in Burzyansky, Karaidelsky, Nurimanovsky and Khaibullinsky forestries is explained by the priority of other categories of protective forests - valuable forests, forests located in water protection zones and in protected areas. Forest park zone is allocated in 19% of forestries. The area of green zones according to the State Standard should be 317.8 thousand hectares, according to the method of V.P. Kovtunov - S.V. Belov - 592.1 thousand hectares, in fact, it is 231.8 hectares. It is required to include 86.0 thousand hectares of forests in the green zone according to the GOST standard. It was determined that in the South Ural forest-steppe region there are 7.1 hectares of forest fund per inhabitant, in the Forest-steppe region - 1.1 hectares / person, in the area of coniferous-deciduous forests - 1.5 hectares / person. The area of the green zone of the cities of the Forest-steppe region of the European part of the Russian Federation is closest to the optimal one; in the Region of coniferous-broad-leaved forests of the European part of the Russian Federation, green zones exceed the norms for the areas of green zones both according to GOST and according to V.P. Kovtunov - S.V. Belov. Insufficient forest area of green zones is seen in the South Ural forest-steppe region

scholarly journals Arrangements for the Transfer of Social-Services Delivery to Non-Governmental Providers (Regional Practices, Russia)

2019 ◽  
Vol 12 (2) ◽  
pp. 251-274
Author(s):  
Galina Zabolotnaya ◽  
Andrey Larionov
Keyword(s):  
Social Services ◽  
Service Providers ◽  
Non Profit ◽  
Institutional Conditions ◽  
Services Delivery ◽  
Republic Of Bashkortostan ◽  
The Russian Federation ◽  
The Republic ◽  
Regional Processes ◽  
Federal Center

AbstractThe study focuses on the Russian practice of institutionalizing non-governmental social-service providers. The paper discusses the arrangements for the transfer of governmental social services under the terms of budget financing to commercial and non-profit organizations. The authors proceed from the fact that although there are uniform institutional conditions for the formation of the non-governmental sector in the field of social services, established by the federal center, most of the rules and procedures which determine the implementation of this process are defined on the level of the constituent subjects of the Russian Federation. The paper explores the practices of three regions: Perm, the Republic of Bashkortostan and Khanty-Mansiysk Autonomous Okrug-Ugra. These regions are recognized as the leaders in the process of diversification of social services. The analysis made it possible to identify the general and the particular in the regional processes of the transfer of social services to the non-governmental sector.

scholarly journals IN MEMORY OF THE LEGENDARY COUNTRYMAN DAYAN MURZIN

2020 ◽  
Vol 16 (3) ◽  
pp. 165-174
Author(s):  
Ришат Нигматуллин
Keyword(s):  
Soviet Union ◽  
The Soviet Union ◽  
Republic Of Bashkortostan ◽  
Great Patriotic War ◽  
Red Army ◽  
The Russian Federation ◽  
The Republic ◽  
Resistance Movement ◽  
Guerrilla Movement

In our country, 2020 has been declared the Year of Memory and Glory by a decree of the President of the Russian Federation Vladimir Vladimirovich Putin. More than 25 million citizens of our country gave their lives for the Victory. The Republic of Bashkortostan made a significant contribution to the victory over fascist Germany. The names of such heroes of the Great Patriotic War as Minigali Shaimuratov, Musa Gareev, Tagir Kusimov, Dayan Murzin, Alexander Matrosov and Minigali Gubaidullin became known outside the republic and country. The article is devoted to the combat path of Dayan Bayanovich Murzin, who was an active participant in the guerrilla movement and the Resistance Movement in Czechoslovakia, the hero of Czechoslovakia. The assistance of the Red Army to the Slovak popular uprising is examined, the role of the Soviet Union in the organization of the Resistance Movement in Eastern Europe is shown.

scholarly journals GENETIC CHARACTERISTICS OF THE POPULATION LIVING IN THE TERRITORY OF THE REPUBLIC OF BASHKORTOSTAN

2016 ◽  
Vol 18 (1) ◽  
pp. 58-66 ◽  
Author(s):  
M. A. Loginova ◽  
I. V. Paramonov ◽  
V. N. Pavlov ◽  
G. Sh. Safuanova
Keyword(s):  
Haplotype Analysis ◽  
Human Leukocyte ◽  
The Other ◽  
Hematopoietic Stem ◽  
Genetic Characteristics ◽  
Leukocyte Antigen ◽  
Republic Of Bashkortostan ◽  
The Russian Federation ◽  
The Republic ◽  
New Alleles

Sequence based typing was used to identify human leukocyte antigen (HLA)-A, -B, -C, -DRB1 alleles in 1,064 recruited volunteers in the Republic of Bashkortostan of the Russian Federation for unrelated hematopoietic stem cell registry. During the carried out research two new alleles were identified in the studied population; one was registered in the WHO Nomenclature Committee for Factors of the HLA System, the other one was submitted for registration. In this population 17 HLA-A, 29 – HLA-B, 13 – HLA-C, 13 – HLA-DRB1 groups of alleles were selected. Allele frequencies of more than 10% included HLA-A*02 (29.37%), 24 (12.92%), 01 (11.84%), 03 (11.61%), HLA-B*35 (11.51%), 07 (10.76%), HLA-C*07 (22.56%), 06 (15.51%), 04 (13.06%), 03 (10.43%), 12 (10.24%), HLA-DRB1*07 (17.25%), 15 (12.73%), 13 (11.98%), 01 (11.84%), 04 (11.61%). 711 HLA-A-B-C-DRB1 four-locus haplotypes were determined using the software Arlequin v.3.1. The most frequently observed four-locus haplotypes were A*02-B*13-C*06-DRB1*07, A*03-B*35-C*07-DRB1*15, A*02- B*07-C*07-DRB1*15 with frequencies of 2.89%, 2.18% and 1.93%, respectively. The distribution of alleles and haplotype analysis allowed comparing the populations of the Republic of Bashkortostan with the other Russian populations.

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