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ΠΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΡ ΡΠΎΠ»ΠΈ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π° Π² ΠΏΡΠΎΡΠ΅ΡΡΠ°Ρ ΡΡΠ½ΠΊΡΠΈΠΎΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈΠ½ΡΡΠΈΡΡΡΠ° ΡΠ΅ΠΌΡΠΈ ΠΊΠ°ΠΊ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ° ΡΡΠ°Π½ΡΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠ΅Π½Π½ΠΎΡΡΠ½ΡΡ ΠΎΡΠΈΠ΅Π½ΡΠ°ΡΠΈΠΉ ΠΌΠΎΠ»ΠΎΠ΄Π΅ΠΆΠΈ
It can be argued that life priorities of young people, including student ones, are not yet well established, therefore, have a certain ability to transformation. In turn, the family has a huge influence on the processes of changes in the value system of young people, in addition, the institution of the family has an impact on shaping the personality of almost every representative of the younger generation. It is necessary to consider the role of the state in the preparation of the family Institution to perform educational functions. The essence of this role is to prepare parents for the process of education, in other words, to increase the level of their pedagogical culture. This is because most parents do not have pedagogical education. Therefore there is a contradiction: the older generation is actively engaged in education without having any methods or tools for this process. In fact, some ways to resolve the conflict are the basic content of this article. In the future, the resolution of this contradiction, will transform social relations so that they were based on spiritual norms, which, in turn, will lead to the preservation and further development of Ukrainian culture, and society in general.ΠΠΎΠΆΠ½ΠΎ ΡΡΠ²Π΅ΡΠΆΠ΄Π°ΡΡ, ΡΡΠΎ ΠΆΠΈΠ·Π½Π΅Π½Π½ΡΠ΅ ΠΏΡΠΈΠΎΡΠΈΡΠ΅ΡΡ ΠΌΠΎΠ»ΠΎΠ΄Π΅ΠΆΠΈ, Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ ΡΡΡΠ΄Π΅Π½ΡΠ΅ΡΠΊΠΎΠΉ, Π΅ΡΠ΅ ΠΏΡΠΎΡΠ½ΠΎ Π½Π΅ ΡΡΡΠΎΡΠ»ΠΈΡΡ, ΠΏΠΎΡΡΠΎΠΌΡ ΠΎΠ±Π»Π°Π΄Π°ΡΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠΉ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΡΡ ΠΊ ΡΡΠ°Π½ΡΡΠΎΡΠΌΠ°ΡΠΈΠΈ. Π ΡΠ²ΠΎΡ ΠΎΡΠ΅ΡΠ΅Π΄Ρ, ΡΠ΅ΠΌΡΡ ΠΈΠΌΠ΅Π΅Ρ ΠΊΠΎΠ»ΠΎΡΡΠ°Π»ΡΠ½ΠΎΠ΅ Π²Π»ΠΈΡΠ½ΠΈΠ΅ Π½Π° ΠΏΡΠΎΡΠ΅ΡΡΡ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ, Π² ΡΠΈΡΡΠ΅ΠΌΠ΅ ΡΠ΅Π½Π½ΠΎΡΡΠ΅ΠΉ ΠΌΠΎΠ»ΠΎΠ΄Π΅ΠΆΠΈ, ΠΊΡΠΎΠΌΠ΅ ΡΠΎΠ³ΠΎ, ΠΈΠ½ΡΡΠΈΡΡΡ ΡΠ΅ΠΌΡΠΈ ΠΎΠΊΠ°Π·ΡΠ²Π°Π΅Ρ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ Π½Π° ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π»ΠΈΡΠ½ΠΎΡΡΠΈ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈ ΠΊΠ°ΠΆΠ΄ΠΎΠ³ΠΎ ΠΏΡΠ΅Π΄ΡΡΠ°Π²ΠΈΡΠ΅Π»Ρ ΠΌΠΎΠ»ΠΎΠ΄ΠΎΠ³ΠΎ ΠΏΠΎΠΊΠΎΠ»Π΅Π½ΠΈΡ. ΠΠ΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎ ΡΠ°ΡΡΠΌΠΎΡΡΠ΅ΡΡ ΡΠΎΠ»Ρ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π° Π² ΠΏΠΎΠ΄Π³ΠΎΡΠΎΠ²ΠΊΠ΅ ΠΈΠ½ΡΡΠΈΡΡΡΠ° ΡΠ΅ΠΌΡΠΈ ΠΊ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΈΡ Π²ΠΎΡΠΏΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΠΎΠΉ ΡΡΠ½ΠΊΡΠΈΠΈ. Π‘ΡΡΠ½ΠΎΡΡΡ ΡΡΠΎΠΉ ΡΠΎΠ»ΠΈ Π·Π°ΠΊΠ»ΡΡΠ°Π΅ΡΡΡ Π² ΠΏΠΎΠ΄Π³ΠΎΡΠΎΠ²ΠΊΠ΅ ΡΠΎΠ΄ΠΈΡΠ΅Π»Π΅ΠΉ ΠΊ ΠΏΡΠΎΡΠ΅ΡΡΡ Π²ΠΎΡΠΏΠΈΡΠ°Π½ΠΈΡ, Π΄ΡΡΠ³ΠΈΠΌΠΈ ΡΠ»ΠΎΠ²Π°ΠΌΠΈ, Π² ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠΈ ΡΡΠΎΠ²Π½Ρ ΠΈΡ
ΠΏΠ΅Π΄Π°Π³ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΊΡΠ»ΡΡΡΡΡ. ΠΡΠΎ ΡΠ²ΡΠ·Π°Π½ΠΎ Ρ ΡΠ΅ΠΌ, ΡΡΠΎ Π±ΠΎΠ»ΡΡΠΈΠ½ΡΡΠ²ΠΎ ΡΠΎΠ΄ΠΈΡΠ΅Π»Π΅ΠΉ Π½Π΅ ΠΈΠΌΠ΅ΡΡ ΠΏΠ΅Π΄Π°Π³ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ. ΠΠΎΡΡΠΎΠΌΡ Π²ΠΎΠ·Π½ΠΈΠΊΠ°Π΅Ρ ΠΏΡΠΎΡΠΈΠ²ΠΎΡΠ΅ΡΠΈΠ΅: ΠΏΡΠ΅Π΄ΡΡΠ°Π²ΠΈΡΠ΅Π»ΠΈ ΡΡΠ°ΡΡΠ΅Π³ΠΎ ΠΏΠΎΠΊΠΎΠ»Π΅Π½ΠΈΡ Π°ΠΊΡΠΈΠ²Π½ΠΎ Π·Π°Π½ΠΈΠΌΠ°ΡΡΡΡ Π²ΠΎΡΠΏΠΈΡΠ°Π½ΠΈΠ΅ΠΌ, Π½Π΅ Π²Π»Π°Π΄Π΅Ρ Π½ΠΈ ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ, Π½ΠΈ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°ΠΌΠΈ Π΄Π°Π½Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ°. Π‘ΠΎΠ±ΡΡΠ²Π΅Π½Π½ΠΎ, ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΡΠ΅ ΠΏΡΡΠΈ ΡΠ°Π·ΡΠ΅ΡΠ΅Π½ΠΈΡ Π΄Π°Π½Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠΈΠ²ΠΎΡΠ΅ΡΠΈΡ ΠΈ ΡΠ²Π»ΡΡΡΡΡ ΠΎΡΠ½ΠΎΠ²Π½ΡΠΌ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ΠΌ Π΄Π°Π½Π½ΠΎΠΉ ΡΡΠ°ΡΡΠΈ. Π ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π΅, ΡΠ°Π·ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ ΡΡΠΎΠ³ΠΎ ΠΏΡΠΎΡΠΈΠ²ΠΎΡΠ΅ΡΠΈΡ, ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ ΡΡΠ°Π½ΡΡΠΎΡΠΌΠΈΡΠΎΠ²Π°ΡΡ ΠΎΠ±ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ ΡΠ°ΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ, ΡΡΠΎΠ±Ρ ΠΎΠ½ΠΈ ΠΎΡΠ½ΠΎΠ²ΡΠ²Π°Π»ΠΈΡΡ Π½Π° Π΄ΡΡ
ΠΎΠ²Π½ΡΡ
Π½ΠΎΡΠΌΠ°Ρ
, ΡΡΠΎ Π² ΡΠ²ΠΎΡ ΠΎΡΠ΅ΡΠ΅Π΄Ρ, ΠΏΡΠΈΠ²Π΅Π΄Π΅Ρ ΠΊ ΡΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΡ ΠΈ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠ΅ΠΌΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΊΡΠ°ΠΈΠ½ΡΠΊΠΎΠΉ ΠΊΡΠ»ΡΡΡΡΡ, Π° ΡΠ°ΠΊΠΆΠ΅ ΡΠΎΡΠΈΡΠΌΠ° Π² ΡΠ΅Π»ΠΎΠΌ.Β ΠΠΎΠΆΠ½ΠΎ ΡΡΠ²Π΅ΡΠΆΠ΄Π°ΡΡ, ΡΡΠΎ ΠΆΠΈΠ·Π½Π΅Π½Π½ΡΠ΅ ΠΏΡΠΈΠΎΡΠΈΡΠ΅ΡΡ ΠΌΠΎΠ»ΠΎΠ΄Π΅ΠΆΠΈ, Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ ΡΡΡΠ΄Π΅Π½ΡΠ΅ΡΠΊΠΎΠΉ, Π΅ΡΠ΅ ΠΏΡΠΎΡΠ½ΠΎ Π½Π΅ ΡΡΡΠΎΡΠ»ΠΈΡΡ, ΠΏΠΎΡΡΠΎΠΌΡ ΠΎΠ±Π»Π°Π΄Π°ΡΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠΉ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΡΡ ΠΊ ΡΡΠ°Π½ΡΡΠΎΡΠΌΠ°ΡΠΈΠΈ. Π ΡΠ²ΠΎΡ ΠΎΡΠ΅ΡΠ΅Π΄Ρ, ΡΠ΅ΠΌΡΡ ΠΈΠΌΠ΅Π΅Ρ ΠΊΠΎΠ»ΠΎΡΡΠ°Π»ΡΠ½ΠΎΠ΅ Π²Π»ΠΈΡΠ½ΠΈΠ΅ Π½Π° ΠΏΡΠΎΡΠ΅ΡΡΡ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ, Π² ΡΠΈΡΡΠ΅ΠΌΠ΅ ΡΠ΅Π½Π½ΠΎΡΡΠ΅ΠΉ ΠΌΠΎΠ»ΠΎΠ΄Π΅ΠΆΠΈ, ΠΊΡΠΎΠΌΠ΅ ΡΠΎΠ³ΠΎ, ΠΈΠ½ΡΡΠΈΡΡΡ ΡΠ΅ΠΌΡΠΈ ΠΎΠΊΠ°Π·ΡΠ²Π°Π΅Ρ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ Π½Π° ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π»ΠΈΡΠ½ΠΎΡΡΠΈ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈ ΠΊΠ°ΠΆΠ΄ΠΎΠ³ΠΎ ΠΏΡΠ΅Π΄ΡΡΠ°Π²ΠΈΡΠ΅Π»Ρ ΠΌΠΎΠ»ΠΎΠ΄ΠΎΠ³ΠΎ ΠΏΠΎΠΊΠΎΠ»Π΅Π½ΠΈΡ. ΠΠ΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎ ΡΠ°ΡΡΠΌΠΎΡΡΠ΅ΡΡ ΡΠΎΠ»Ρ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π° Π² ΠΏΠΎΠ΄Π³ΠΎΡΠΎΠ²ΠΊΠ΅ ΠΈΠ½ΡΡΠΈΡΡΡΠ° ΡΠ΅ΠΌΡΠΈ ΠΊ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΈΡ Π²ΠΎΡΠΏΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΠΎΠΉ ΡΡΠ½ΠΊΡΠΈΠΈ. Π‘ΡΡΠ½ΠΎΡΡΡ ΡΡΠΎΠΉ ΡΠΎΠ»ΠΈ Π·Π°ΠΊΠ»ΡΡΠ°Π΅ΡΡΡ Π² ΠΏΠΎΠ΄Π³ΠΎΡΠΎΠ²ΠΊΠ΅ ΡΠΎΠ΄ΠΈΡΠ΅Π»Π΅ΠΉ ΠΊ ΠΏΡΠΎΡΠ΅ΡΡΡ Π²ΠΎΡΠΏΠΈΡΠ°Π½ΠΈΡ, Π΄ΡΡΠ³ΠΈΠΌΠΈ ΡΠ»ΠΎΠ²Π°ΠΌΠΈ, Π² ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠΈ ΡΡΠΎΠ²Π½Ρ ΠΈΡ
ΠΏΠ΅Π΄Π°Π³ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΊΡΠ»ΡΡΡΡΡ. ΠΡΠΎ ΡΠ²ΡΠ·Π°Π½ΠΎ Ρ ΡΠ΅ΠΌ, ΡΡΠΎ Π±ΠΎΠ»ΡΡΠΈΠ½ΡΡΠ²ΠΎ ΡΠΎΠ΄ΠΈΡΠ΅Π»Π΅ΠΉ Π½Π΅ ΠΈΠΌΠ΅ΡΡ ΠΏΠ΅Π΄Π°Π³ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ. ΠΠΎΡΡΠΎΠΌΡ Π²ΠΎΠ·Π½ΠΈΠΊΠ°Π΅Ρ ΠΏΡΠΎΡΠΈΠ²ΠΎΡΠ΅ΡΠΈΠ΅: ΠΏΡΠ΅Π΄ΡΡΠ°Π²ΠΈΡΠ΅Π»ΠΈ ΡΡΠ°ΡΡΠ΅Π³ΠΎ ΠΏΠΎΠΊΠΎΠ»Π΅Π½ΠΈΡ Π°ΠΊΡΠΈΠ²Π½ΠΎ Π·Π°Π½ΠΈΠΌΠ°ΡΡΡΡ Π²ΠΎΡΠΏΠΈΡΠ°Π½ΠΈΠ΅ΠΌ, Π½Π΅ Π²Π»Π°Π΄Π΅Ρ Π½ΠΈ ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ, Π½ΠΈ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°ΠΌΠΈ Π΄Π°Π½Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ°. Π‘ΠΎΠ±ΡΡΠ²Π΅Π½Π½ΠΎ, ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΡΠ΅ ΠΏΡΡΠΈ ΡΠ°Π·ΡΠ΅ΡΠ΅Π½ΠΈΡ Π΄Π°Π½Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠΈΠ²ΠΎΡΠ΅ΡΠΈΡ ΠΈ ΡΠ²Π»ΡΡΡΡΡ ΠΎΡΠ½ΠΎΠ²Π½ΡΠΌ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ΠΌ Π΄Π°Π½Π½ΠΎΠΉ ΡΡΠ°ΡΡΠΈ. Π ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π΅, ΡΠ°Π·ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ ΡΡΠΎΠ³ΠΎ ΠΏΡΠΎΡΠΈΠ²ΠΎΡΠ΅ΡΠΈΡ, ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ ΡΡΠ°Π½ΡΡΠΎΡΠΌΠΈΡΠΎΠ²Π°ΡΡ ΠΎΠ±ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ ΡΠ°ΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ, ΡΡΠΎΠ±Ρ ΠΎΠ½ΠΈ ΠΎΡΠ½ΠΎΠ²ΡΠ²Π°Π»ΠΈΡΡ Π½Π° Π΄ΡΡ
ΠΎΠ²Π½ΡΡ
Π½ΠΎΡΠΌΠ°Ρ
, ΡΡΠΎ Π² ΡΠ²ΠΎΡ ΠΎΡΠ΅ΡΠ΅Π΄Ρ, ΠΏΡΠΈΠ²Π΅Π΄Π΅Ρ ΠΊ ΡΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΡ ΠΈ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠ΅ΠΌΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΊΡΠ°ΠΈΠ½ΡΠΊΠΎΠΉ ΠΊΡΠ»ΡΡΡΡΡ, Π° ΡΠ°ΠΊΠΆΠ΅ ΡΠΎΡΠΈΡΠΌΠ° Π² ΡΠ΅Π»ΠΎΠΌ.
Research of Certain Pathogenic Characteristics of Clinical Isolates of Staphylococci of Skin Biome
A serious problem in patients with atopic dermatitis (AD) is the frequent attachment of a secondary skin infection. Among the microbes colonizing the skin of patients suffering from AD, S. aureus takes the lead. According to different authors, from the skin of 80β95 % of patients are sown Staphylococcus aureus. The survival of bacteria in a biotope is promoted by the persistent properties of microorganisms.Aim of the research: to determine the adhesive properties and antilysozyme activity of clinical strains of staphylococci isolated from the skin of patients with allergic dermatosis.The study included 50 patients with atopic dermatitis and 20 practically healthy individuals, from which 140 laboratory strains of staphylococci were isolated: 101 strains from patients with AD and 39 control strains. Bacteriological studies to isolate microorganisms and determine a number of pathogenic characteristics were carried out using the methods of classical bacteriology.The severity of antilysozyme activity (ALA) and adhesive properties of strains isolated from affected areas of the skin was significantly higher than in cultures isolated from intact skin areas, both qualitatively and quantitatively. The obtained data made it possible to assume a certain complicating role of these factors on the course of AD
Co-application of Difenoconazole with Thymol Results in Suppression of a Parastagonospora Nodorum Mutant Strain Resistant to this Triazole
Results of in vitro study of thymol, a natural chemosensitizer, as a potential agent for overcoming of difenoconazole resistance of Parastagonospora nodorum causing glume and leaf blotch of wheat are first reported. The level of difenoconazole resistance of a natural mutant PNm1 strain with low sensitivity to the Dividend fungicide (a.i. difenoconazole) was determined by the cultivation of this isolate on potato dextrose agar in the presence of the fungicide at sub-lethal and lethal (in relation to the initial fungicide-sensitive strain) concentrations. A principal possibility of the thymol use to overcome resistance of P. nodorum to DMI (demethylation inhibitors) fungicides is shown. Co-application of this compound with Dividend SC, 3 % resulted in a significant reduction of resistance of the mutant strain and enhancement of its sensitivity to difenoconazole up to the level corresponding to the initial non-resistant isolate
Π ΠΎΡΡ ΡΠΈΡΠ»Π΅Π½Π½ΠΎΡΡΠΈ Π³ΠΎΡΠΎΠ΄ΡΠΊΠΎΠ³ΠΎ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ: Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΠ°ΠΊΡΠΎΡ
ΠΠ°ΡΠ° ΠΏΠΎΡΡΡΠΏΠ»Π΅Π½ΠΈΡ 6 ΠΈΡΠ½Ρ 2019 Π³.; Π΄Π°ΡΠ° ΠΏΡΠΈΠ½ΡΡΠΈΡ ΠΊ ΠΏΠ΅ΡΠ°ΡΠΈ 13 Π°Π²Π³ΡΡΡΠ° 2019 Π³.Received June 06, 2019; accepted August 13, 2019.This paper explores the influence of biological mechanisms in overpopulated territories on urban growth and addresses the question how biological factors correlate with economic factors, such as GDP growth, in this process. The article provides an overview of the approaches in regional economics, ethology and demography to this problem. To analyze the influence of biological and economic factors on urbanization, four hypotheses are formulated. To test these hypothesis, methods of regression analysis are applied to the statistical data of the United Nations and the World Bank for 132 countries for 1995, 2005, 2015. The analysis shows that the biological mechanisms of population reduction play a significant role in the least and less developed countries. Per capita GDP growth leads to an increase in the concentration of population in big cities (with the population of 1 million inhabitants or more). The total fertility rate varies significantly in these countries, but as the population starts to grow, fertility begins to fall gradually. In more developed countries with a high per capita GDP level, the share of urban population
tends to shrink, while the total fertility rate stabilizes there at the level of ca. 1.0β2.0 births per woman.Π ΡΡΠ°ΡΡΠ΅ ΠΈΡΡΠ»Π΅Π΄ΡΠ΅ΡΡΡ, ΠΎΠΊΠ°Π·ΡΠ²Π°ΡΡ Π»ΠΈ Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΡ, Π²ΡΠ·Π²Π°Π½Π½ΡΠ΅ ΠΏΠ΅ΡΠ΅Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΠ΅ΠΌ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΈ, ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠ΅ Π²Π»ΠΈΡΠ½ΠΈΠ΅ Π½Π° ΡΠΎΡΡ Π³ΠΎΡΠΎΠ΄ΠΎΠ², ΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡ Π»ΠΈ ΡΡΠΎΠ²Π΅Π½Ρ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΡΡΠ°Π½Ρ Π·Π½Π°ΡΠΈΠΌΡΠΌ ΠΏΡΠΈ Π²Π»ΠΈΡΠ½ΠΈΠΈ Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ². Π‘ ΡΠ΅Π»ΡΡ Π°Π½Π°Π»ΠΈΠ·Π° Π²Π»ΠΈΡΠ½ΠΈΡ Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² Π½Π° ΠΏΡΠΎΡΠ΅ΡΡΡ ΡΡΠ±Π°Π½ΠΈΠ·Π°ΡΠΈΠΈ ΡΡΠΎΡΠΌΡΠ»ΠΈΡΠΎΠ²Π°Π½Ρ ΡΠ΅ΡΡΡΠ΅ Π³ΠΈΠΏΠΎΡΠ΅Π·Ρ, ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΡΠ΅ Π½Π° ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ²Π΅ΡΠΆΠ΄Π΅Π½ΠΈΡΡ
ΠΈ ΡΠΌΠΏΠΈΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π²ΡΠ²ΠΎΠ΄Π°Ρ
ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ, ΡΡΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΈ Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΠΈ. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΡΠ΅Π³ΡΠ΅ΡΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π΄Π°Π½Π½ΡΡ
Π½Π° Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΌ ΡΡΠΎΠ²Π½Π΅, ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½Π½ΡΠ΅ Π΄Π»Ρ ΠΏΡΠΎΠ²Π΅ΡΠΊΠΈ ΡΡΠΈΡ
Π³ΠΈΠΏΠΎΡΠ΅Π·, ΠΏΠΎΠΊΠ°Π·ΡΠ²Π°ΡΡ, ΡΡΠΎ Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ°ΠΊΡΠΎΡΡ Π³ΠΎΡΠΎΠ΄ΡΠΊΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ»Π΅Π΄ΡΠ΅Ρ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡ Π½Π°ΡΠ°Π²Π½Π΅ Ρ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ, Π½ΠΎ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ·. ΠΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΡ ΡΠΎΠΊΡΠ°ΡΠ΅Π½ΠΈΡ ΡΠΈΡΠ»Π΅Π½Π½ΠΎΡΡΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΈΠ³ΡΠ°ΡΡ Π²Π°ΠΆΠ½ΡΡ ΡΠΎΠ»Ρ Π² Π½Π°ΠΈΠΌΠ΅Π½Π΅Π΅ ΡΠ°Π·Π²ΠΈΡΡΡ
ΠΈ ΡΠ°Π·Π²ΠΈΠ²Π°ΡΡΠΈΡ
ΡΡ ΡΡΡΠ°Π½Π°Ρ
. Π‘ ΡΠΎΡΡΠΎΠΌ ΠΠΠ Π½Π° Π΄ΡΡΡ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ Π² ΡΡΠΈΡ
ΡΡΡΠ°Π½Π°Ρ
ΡΠ²Π΅Π»ΠΈΡΠΈΠ²Π°Π΅ΡΡΡ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΡ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ Π² ΠΊΡΡΠΏΠ½ΡΡ
Π³ΠΎΡΠΎΠ΄Π°Ρ
(Ρ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΠ΅ΠΌ 1 ΠΌΠ»Π½ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊ ΠΈ Π±ΠΎΠ»Π΅Π΅). ΠΠ±ΡΠΈΠΉ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½Ρ ΡΠΎΠΆΠ΄Π°Π΅ΠΌΠΎΡΡΠΈ Π² ΡΡΠΈΡ
ΡΡΡΠ°Π½Π°Ρ
Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎ ΡΠ°Π·Π»ΠΈΡΠ°Π΅ΡΡΡ, Π½ΠΎ Ρ ΡΠΎΡΡΠΎΠΌ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΎΠ½ ΠΏΠΎΡΡΠ΅ΠΏΠ΅Π½Π½ΠΎ ΡΠ½ΠΈΠΆΠ°Π΅ΡΡΡ. Π ΡΠ°Π·Π²ΠΈΡΡΡ
ΡΡΡΠ°Π½Π°Ρ
Ρ Π²ΡΡΠΎΠΊΠΈΠΌ ΡΡΠΎΠ²Π½Π΅ΠΌ ΠΠΠ Π½Π° Π΄ΡΡΡ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ Π΄ΠΎΠ»Ρ ΠΆΠΈΡΠ΅Π»Π΅ΠΉ ΠΊΡΡΠΏΠ½ΡΡ
Π³ΠΎΡΠΎΠ΄Π°Ρ
Π² ΠΎΠ±ΡΠ΅ΠΉ ΡΠΈΡΠ»Π΅Π½Π½ΠΎΡΡΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΡΡΠ°Π½Ρ ΠΈΠΌΠ΅Π΅Ρ ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΡ ΠΊ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΡ, ΠΈ ΠΎΠ±ΡΠΈΠΉ ΡΡΠΎΠ²Π΅Π½Ρ ΡΠΎΠΆΠ΄Π°Π΅ΠΌΠΎΡΡΠΈ ΡΡΠ°Π±ΠΈΠ»ΠΈΠ·ΠΈΡΡΠ΅ΡΡΡ Π½Π° ΡΡΠΎΠ²Π½Π΅ ΠΎΠΊΠΎΠ»ΠΎ 1,0β2,0 ΡΠΎΠ΄ΠΎΠ² Π½Π° ΠΎΠ΄Π½Ρ ΠΆΠ΅Π½ΡΠΈΠ½Ρ
City as an Object of Ecological and Economic Researches: the Example of Russian Cities
The growth of environmental pollution especially in big cities dictates the need to search for the reasons of this trend, most of which refer to the economic sphere. The aim of this work is not only to describe the state of environment in Russian cities with the population of 100 thousand inhabitants and more, but also to reveal the main economic factors that influence on the intensity of their environmental pollution. The ecological and economic analysis of Russian cities, fulfilled in this work, helped to identify the most unfavourable of them in terms of the level of environmental impact. The low quality of environment in these cities is largely due to natural and climatic conditions (bad conditions for contaminants dispersion) and specifics of their economic development: functioning of large industrial enterprises of ferrous and non-ferrous metallurgy, petro chemistry, construction industry. The conclusion is that to improve the environmental quality in these cities comprehensive social, environmental and economic solutions are required
Application of the project method using modern IT technologies
This article is devoted to the application of project methodology using IT technologies in the process of studying the subject βForeign languageβ and βForeign language in professional sphereβ in the conditions of professional education among students of non-language high school. The article also analyzes the project methodology used as one of the best methods of teaching a foreign language. The article deals with the main theoretical and practical foundations of using project methodology in the educational process. Particular attention is paid to the consideration of the working phases of the project, as well as shown methodological techniques used by the teacher at different stages of the project. Besides, the article has covered the results of the experiment held by the βForeign language in the sphere of Engineering and Technologiesβ department among the students of the Faculty of Industrial and Civil Engineering of the Don State Technical University, in connection with which the conclusion is made that the project method application has a considerable influence on the increase of the level of motivation of students to learn a foreign language and the effectiveness of teaching
Pulkovo coordinates from astrooptical observations
The longitude and latitude observations made with two zenith-telescopes and three photoelectric transit instruments of the Pulkovo Observatory during the 20th century were used for coordinates determination. The observations were rereduced in HIPPARCOS reference frame. All known astrometrical reductions and the new model of precession and nutation IAU2000A were used. The longitude (1960β2004) and the latitude (1904β2004) coordinate corrections and their trends were found. The geophysical reasons of detected long-periodical coordinate variations are discussed
Methods of probe microscopy in the study of topography and elastic properties of cold-resistant elastomers
The work was carried out under the financial support of the Russian Science Fund, grant 14-29-00198-Π(sample preparation and scanning electron microscopy) and the Federal Agency of Scientific Organizations - Agreement No 007-ΠΠ/Π§3363/26 (scanning probe microscopy)
Outlier detection and classification in sensor data streams for proactive decision support systems
A paper has a deal with the problem of quality assessment in sensor data streams accumulated by proactive decision support systems. The new problem is stated where outliers need to be detected and to be classified according to their nature of origin. There are two types of outliers defined; the first type is about misoperations of a system and the second type is caused by changes in the observed system behavior due to inner and external influences. The proposed method is based on the data-driven forecast approach to predict the values in the incoming data stream at the expected time. This method includes the forecasting model and the clustering model. The forecasting model predicts a value in the incoming data stream at the expected time to find the deviation between a real observed value and a predicted one. The clustering method is used for taxonomic classification of outliers. Constructive neural networks models (CoNNS) and evolving connectionists systems (ECS) are used for prediction of sensors data. There are two real world tasks are used as case studies. The maximal values of accuracy are 0.992 and 0.974, and F1 scores are 0.967 and 0.938, respectively, for the first and the second tasks. The conclusion contains findings how to apply the proposed method in proactive decision support systems
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