1,704 research outputs found

    ΠžΠΏΡ‚ΠΈΠΌΠΈΠ·Π°Ρ†ΠΈΡ Ρ€ΠΎΠ»ΠΈ государства Π² процСссах функционирования института сСмьи ΠΊΠ°ΠΊ инструмСнта трансформирования цСнностных ΠΎΡ€ΠΈΠ΅Π½Ρ‚Π°Ρ†ΠΈΠΉ ΠΌΠΎΠ»ΠΎΠ΄Π΅ΠΆΠΈ

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    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.МоТно ΡƒΡ‚Π²Π΅Ρ€ΠΆΠ΄Π°Ρ‚ΡŒ, Ρ‡Ρ‚ΠΎ ΠΆΠΈΠ·Π½Π΅Π½Π½Ρ‹Π΅ ΠΏΡ€ΠΈΠΎΡ€ΠΈΡ‚Π΅Ρ‚Ρ‹ ΠΌΠΎΠ»ΠΎΠ΄Π΅ΠΆΠΈ, Π² Ρ‚ΠΎΠΌ числС студСнчСской, Π΅Ρ‰Π΅ ΠΏΡ€ΠΎΡ‡Π½ΠΎ Π½Π΅ ΡƒΡΡ‚ΠΎΡΠ»ΠΈΡΡŒ, поэтому ΠΎΠ±Π»Π°Π΄Π°ΡŽΡ‚ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠΉ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡ‚ΡŒΡŽ ΠΊ трансформации. Π’ свою ΠΎΡ‡Π΅Ρ€Π΅Π΄ΡŒ, сСмья ΠΈΠΌΠ΅Π΅Ρ‚ колоссальноС влияниС Π½Π° процСссы ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ, Π² систСмС цСнностСй ΠΌΠΎΠ»ΠΎΠ΄Π΅ΠΆΠΈ, ΠΊΡ€ΠΎΠΌΠ΅ Ρ‚ΠΎΠ³ΠΎ, институт сСмьи ΠΎΠΊΠ°Π·Ρ‹Π²Π°Π΅Ρ‚ воздСйствиС Π½Π° Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ личности практичСски ΠΊΠ°ΠΆΠ΄ΠΎΠ³ΠΎ прСдставитСля ΠΌΠΎΠ»ΠΎΠ΄ΠΎΠ³ΠΎ поколСния. НСобходимо Ρ€Π°ΡΡΠΌΠΎΡ‚Ρ€Π΅Ρ‚ΡŒ Ρ€ΠΎΠ»ΡŒ государства Π² ΠΏΠΎΠ΄Π³ΠΎΡ‚ΠΎΠ²ΠΊΠ΅ института сСмьи ΠΊ Π²Ρ‹ΠΏΠΎΠ»Π½Π΅Π½ΠΈΡŽ Π²ΠΎΡΠΏΠΈΡ‚Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠΉ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΈ. Π‘ΡƒΡ‰Π½ΠΎΡΡ‚ΡŒ этой Ρ€ΠΎΠ»ΠΈ Π·Π°ΠΊΠ»ΡŽΡ‡Π°Π΅Ρ‚ΡΡ Π² ΠΏΠΎΠ΄Π³ΠΎΡ‚ΠΎΠ²ΠΊΠ΅ Ρ€ΠΎΠ΄ΠΈΡ‚Π΅Π»Π΅ΠΉ ΠΊ процСссу воспитания, Π΄Ρ€ΡƒΠ³ΠΈΠΌΠΈ словами, Π² ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΠΈ уровня ΠΈΡ… пСдагогичСской ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Ρ‹. Π­Ρ‚ΠΎ связано с Ρ‚Π΅ΠΌ, Ρ‡Ρ‚ΠΎ Π±ΠΎΠ»ΡŒΡˆΠΈΠ½ΡΡ‚Π²ΠΎ Ρ€ΠΎΠ΄ΠΈΡ‚Π΅Π»Π΅ΠΉ Π½Π΅ ΠΈΠΌΠ΅ΡŽΡ‚ пСдагогичСского образования. ΠŸΠΎΡΡ‚ΠΎΠΌΡƒ Π²ΠΎΠ·Π½ΠΈΠΊΠ°Π΅Ρ‚ ΠΏΡ€ΠΎΡ‚ΠΈΠ²ΠΎΡ€Π΅Ρ‡ΠΈΠ΅: прСдставитСли ΡΡ‚Π°Ρ€ΡˆΠ΅Π³ΠΎ поколСния Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎ Π·Π°Π½ΠΈΠΌΠ°ΡŽΡ‚ΡΡ воспитаниСм, Π½Π΅ владСя Π½ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Π°ΠΌΠΈ, Π½ΠΈ инструмСнтами Π΄Π°Π½Π½ΠΎΠ³ΠΎ процСсса. БобствСнно, ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Π½Ρ‹Π΅ ΠΏΡƒΡ‚ΠΈ Ρ€Π°Π·Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ Π΄Π°Π½Π½ΠΎΠ³ΠΎ противорСчия ΠΈ ΡΠ²Π»ΡΡŽΡ‚ΡΡ основным содСрТаниСм Π΄Π°Π½Π½ΠΎΠΉ ΡΡ‚Π°Ρ‚ΡŒΠΈ. Π’ пСрспСктивС, Ρ€Π°Π·Ρ€Π΅ΡˆΠ΅Π½ΠΈΠ΅ этого противорСчия, ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ‚ Ρ‚Ρ€Π°Π½ΡΡ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ общСствСнныС ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡ Ρ‚Π°ΠΊΠΈΠΌ ΠΎΠ±Ρ€Π°Π·ΠΎΠΌ, Ρ‡Ρ‚ΠΎΠ±Ρ‹ ΠΎΠ½ΠΈ ΠΎΡΠ½ΠΎΠ²Ρ‹Π²Π°Π»ΠΈΡΡŒ Π½Π° Π΄ΡƒΡ…ΠΎΠ²Π½Ρ‹Ρ… Π½ΠΎΡ€ΠΌΠ°Ρ…, Ρ‡Ρ‚ΠΎ Π² свою ΠΎΡ‡Π΅Ρ€Π΅Π΄ΡŒ, ΠΏΡ€ΠΈΠ²Π΅Π΄Π΅Ρ‚ ΠΊ ΡΠΎΡ…Ρ€Π°Π½Π΅Π½ΠΈΡŽ ΠΈ Π΄Π°Π»ΡŒΠ½Π΅ΠΉΡˆΠ΅ΠΌΡƒ Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΡŽ украинской ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Ρ‹, Π° Ρ‚Π°ΠΊΠΆΠ΅ социума Π² Ρ†Π΅Π»ΠΎΠΌ. МоТно ΡƒΡ‚Π²Π΅Ρ€ΠΆΠ΄Π°Ρ‚ΡŒ, Ρ‡Ρ‚ΠΎ ΠΆΠΈΠ·Π½Π΅Π½Π½Ρ‹Π΅ ΠΏΡ€ΠΈΠΎΡ€ΠΈΡ‚Π΅Ρ‚Ρ‹ ΠΌΠΎΠ»ΠΎΠ΄Π΅ΠΆΠΈ, Π² Ρ‚ΠΎΠΌ числС студСнчСской, Π΅Ρ‰Π΅ ΠΏΡ€ΠΎΡ‡Π½ΠΎ Π½Π΅ ΡƒΡΡ‚ΠΎΡΠ»ΠΈΡΡŒ, поэтому ΠΎΠ±Π»Π°Π΄Π°ΡŽΡ‚ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠΉ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡ‚ΡŒΡŽ ΠΊ трансформации. Π’ свою ΠΎΡ‡Π΅Ρ€Π΅Π΄ΡŒ, сСмья ΠΈΠΌΠ΅Π΅Ρ‚ колоссальноС влияниС Π½Π° процСссы ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ, Π² систСмС цСнностСй ΠΌΠΎΠ»ΠΎΠ΄Π΅ΠΆΠΈ, ΠΊΡ€ΠΎΠΌΠ΅ Ρ‚ΠΎΠ³ΠΎ, институт сСмьи ΠΎΠΊΠ°Π·Ρ‹Π²Π°Π΅Ρ‚ воздСйствиС Π½Π° Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ личности практичСски ΠΊΠ°ΠΆΠ΄ΠΎΠ³ΠΎ прСдставитСля ΠΌΠΎΠ»ΠΎΠ΄ΠΎΠ³ΠΎ поколСния. НСобходимо Ρ€Π°ΡΡΠΌΠΎΡ‚Ρ€Π΅Ρ‚ΡŒ Ρ€ΠΎΠ»ΡŒ государства Π² ΠΏΠΎΠ΄Π³ΠΎΡ‚ΠΎΠ²ΠΊΠ΅ института сСмьи ΠΊ Π²Ρ‹ΠΏΠΎΠ»Π½Π΅Π½ΠΈΡŽ Π²ΠΎΡΠΏΠΈΡ‚Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠΉ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΈ. Π‘ΡƒΡ‰Π½ΠΎΡΡ‚ΡŒ этой Ρ€ΠΎΠ»ΠΈ Π·Π°ΠΊΠ»ΡŽΡ‡Π°Π΅Ρ‚ΡΡ Π² ΠΏΠΎΠ΄Π³ΠΎΡ‚ΠΎΠ²ΠΊΠ΅ Ρ€ΠΎΠ΄ΠΈΡ‚Π΅Π»Π΅ΠΉ ΠΊ процСссу воспитания, Π΄Ρ€ΡƒΠ³ΠΈΠΌΠΈ словами, Π² ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΠΈ уровня ΠΈΡ… пСдагогичСской ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Ρ‹. Π­Ρ‚ΠΎ связано с Ρ‚Π΅ΠΌ, Ρ‡Ρ‚ΠΎ Π±ΠΎΠ»ΡŒΡˆΠΈΠ½ΡΡ‚Π²ΠΎ Ρ€ΠΎΠ΄ΠΈΡ‚Π΅Π»Π΅ΠΉ Π½Π΅ ΠΈΠΌΠ΅ΡŽΡ‚ пСдагогичСского образования. ΠŸΠΎΡΡ‚ΠΎΠΌΡƒ Π²ΠΎΠ·Π½ΠΈΠΊΠ°Π΅Ρ‚ ΠΏΡ€ΠΎΡ‚ΠΈΠ²ΠΎΡ€Π΅Ρ‡ΠΈΠ΅: прСдставитСли ΡΡ‚Π°Ρ€ΡˆΠ΅Π³ΠΎ поколСния Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎ Π·Π°Π½ΠΈΠΌΠ°ΡŽΡ‚ΡΡ воспитаниСм, Π½Π΅ владСя Π½ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Π°ΠΌΠΈ, Π½ΠΈ инструмСнтами Π΄Π°Π½Π½ΠΎΠ³ΠΎ процСсса. БобствСнно, ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Π½Ρ‹Π΅ ΠΏΡƒΡ‚ΠΈ Ρ€Π°Π·Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ Π΄Π°Π½Π½ΠΎΠ³ΠΎ противорСчия ΠΈ ΡΠ²Π»ΡΡŽΡ‚ΡΡ основным содСрТаниСм Π΄Π°Π½Π½ΠΎΠΉ ΡΡ‚Π°Ρ‚ΡŒΠΈ. Π’ пСрспСктивС, Ρ€Π°Π·Ρ€Π΅ΡˆΠ΅Π½ΠΈΠ΅ этого противорСчия, ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ‚ Ρ‚Ρ€Π°Π½ΡΡ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ общСствСнныС ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡ Ρ‚Π°ΠΊΠΈΠΌ ΠΎΠ±Ρ€Π°Π·ΠΎΠΌ, Ρ‡Ρ‚ΠΎΠ±Ρ‹ ΠΎΠ½ΠΈ ΠΎΡΠ½ΠΎΠ²Ρ‹Π²Π°Π»ΠΈΡΡŒ Π½Π° Π΄ΡƒΡ…ΠΎΠ²Π½Ρ‹Ρ… Π½ΠΎΡ€ΠΌΠ°Ρ…, Ρ‡Ρ‚ΠΎ Π² свою ΠΎΡ‡Π΅Ρ€Π΅Π΄ΡŒ, ΠΏΡ€ΠΈΠ²Π΅Π΄Π΅Ρ‚ ΠΊ ΡΠΎΡ…Ρ€Π°Π½Π΅Π½ΠΈΡŽ ΠΈ Π΄Π°Π»ΡŒΠ½Π΅ΠΉΡˆΠ΅ΠΌΡƒ Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΡŽ украинской ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Ρ‹, Π° Ρ‚Π°ΠΊΠΆΠ΅ социума Π² Ρ†Π΅Π»ΠΎΠΌ.

    Research of Certain Pathogenic Characteristics of Clinical Isolates of Staphylococci of Skin Biome

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    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 80–95 % 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

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    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

    Рост числСнности городского насСлСния: биологичСский Ρ„Π°ΠΊΡ‚ΠΎΡ€

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    Π”Π°Ρ‚Π° поступлСния 6 июня 2019 Π³.; Π΄Π°Ρ‚Π° принятия ΠΊ ΠΏΠ΅Ρ‡Π°Ρ‚ΠΈ 13 августа 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. 1.0–2.0 births per woman.Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ исслСдуСтся, ΠΎΠΊΠ°Π·Ρ‹Π²Π°ΡŽΡ‚ Π»ΠΈ биологичСскиС ΠΌΠ΅Ρ…Π°Π½ΠΈΠ·ΠΌΡ‹, Π²Ρ‹Π·Π²Π°Π½Π½Ρ‹Π΅ пСрСнасСлСниСм Ρ‚Π΅Ρ€Ρ€ΠΈΡ‚ΠΎΡ€ΠΈΠΈ, сущСствСнноС влияниС Π½Π° рост Π³ΠΎΡ€ΠΎΠ΄ΠΎΠ², ΠΈ являСтся Π»ΠΈ ΡƒΡ€ΠΎΠ²Π΅Π½ΡŒ экономичСского развития страны Π·Π½Π°Ρ‡ΠΈΠΌΡ‹ΠΌ ΠΏΡ€ΠΈ влиянии биологичСских ΠΌΠ΅Ρ…Π°Π½ΠΈΠ·ΠΌΠΎΠ². Π‘ Ρ†Π΅Π»ΡŒΡŽ Π°Π½Π°Π»ΠΈΠ·Π° влияния биологичСских ΠΈ экономичСских Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² Π½Π° процСссы ΡƒΡ€Π±Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΈ сформулированы Ρ‡Π΅Ρ‚Ρ‹Ρ€Π΅ Π³ΠΈΠΏΠΎΡ‚Π΅Π·Ρ‹, основанныС Π½Π° тСорСтичСских утвСрТдСниях ΠΈ эмпиричСских Π²Ρ‹Π²ΠΎΠ΄Π°Ρ… Ρ€Π΅Π³ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΉ экономики, этологии ΠΈ Π΄Π΅ΠΌΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ рСгрСссионного Π°Π½Π°Π»ΠΈΠ·Π° статистичСских Π΄Π°Π½Π½Ρ‹Ρ… Π½Π° Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΌ ΡƒΡ€ΠΎΠ²Π½Π΅, ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½Π½Ρ‹Π΅ для ΠΏΡ€ΠΎΠ²Π΅Ρ€ΠΊΠΈ этих Π³ΠΈΠΏΠΎΡ‚Π΅Π·, ΠΏΠΎΠΊΠ°Π·Ρ‹Π²Π°ΡŽΡ‚, Ρ‡Ρ‚ΠΎ биологичСскиС Ρ„Π°ΠΊΡ‚ΠΎΡ€Ρ‹ городского развития слСдуСт Ρ€Π°ΡΡΠΌΠ°Ρ‚Ρ€ΠΈΠ²Π°Ρ‚ΡŒ Π½Π°Ρ€Π°Π²Π½Π΅ с экономичСскими, Π½ΠΎ Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌ комплСксный Π°Π½Π°Π»ΠΈΠ·. БиологичСскиС ΠΌΠ΅Ρ…Π°Π½ΠΈΠ·ΠΌΡ‹ сокращСния числСнности насСлСния ΠΈΠ³Ρ€Π°ΡŽΡ‚ Π²Π°ΠΆΠ½ΡƒΡŽ Ρ€ΠΎΠ»ΡŒ Π² Π½Π°ΠΈΠΌΠ΅Π½Π΅Π΅ Ρ€Π°Π·Π²ΠΈΡ‚Ρ‹Ρ… ΠΈ Ρ€Π°Π·Π²ΠΈΠ²Π°ΡŽΡ‰ΠΈΡ…ΡΡ странах. Π‘ ростом Π’Π’ΠŸ Π½Π° Π΄ΡƒΡˆΡƒ насСлСния Π² этих странах увСличиваСтся концСнтрация насСлСния Π² ΠΊΡ€ΡƒΠΏΠ½Ρ‹Ρ… Π³ΠΎΡ€ΠΎΠ΄Π°Ρ… (с насСлСниСм 1 ΠΌΠ»Π½ Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊ ΠΈ Π±ΠΎΠ»Π΅Π΅). ΠžΠ±Ρ‰ΠΈΠΉ коэффициСнт роТдаСмости Π² этих странах Π·Π½Π°Ρ‡ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ различаСтся, Π½ΠΎ с ростом насСлСния ΠΎΠ½ постСпСнно сниТаСтся. Π’ Ρ€Π°Π·Π²ΠΈΡ‚Ρ‹Ρ… странах с высоким ΡƒΡ€ΠΎΠ²Π½Π΅ΠΌ Π’Π’ΠŸ Π½Π° Π΄ΡƒΡˆΡƒ насСлСния доля ΠΆΠΈΡ‚Π΅Π»Π΅ΠΉ ΠΊΡ€ΡƒΠΏΠ½Ρ‹Ρ… Π³ΠΎΡ€ΠΎΠ΄Π°Ρ… Π² ΠΎΠ±Ρ‰Π΅ΠΉ числСнности насСлСния страны ΠΈΠΌΠ΅Π΅Ρ‚ Ρ‚Π΅Π½Π΄Π΅Π½Ρ†ΠΈΡŽ ΠΊ сниТСнию, ΠΈ ΠΎΠ±Ρ‰ΠΈΠΉ ΡƒΡ€ΠΎΠ²Π΅Π½ΡŒ роТдаСмости стабилизируСтся Π½Π° ΡƒΡ€ΠΎΠ²Π½Π΅ ΠΎΠΊΠΎΠ»ΠΎ 1,0–2,0 Ρ€ΠΎΠ΄ΠΎΠ² Π½Π° ΠΎΠ΄Π½Ρƒ ΠΆΠ΅Π½Ρ‰ΠΈΠ½Ρƒ

    City as an Object of Ecological and Economic Researches: the Example of Russian Cities

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    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

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    This article is devoted to the application of project methodology using IT technologies in the process of studying the subject β€œForeign language” and β€œForeign language in professional sphere” 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 β€œForeign language in the sphere of Engineering and Technologies” 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

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    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 (1960–2004) and the latitude (1904–2004) 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

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    The work was carried out under the financial support of the Russian Science Fund, grant 14-29-00198-П(sample preparation and scanning electron microscopy) and the Federal Agency of Scientific Organizations - Agreement No 007-Π“Π—/Π§3363/26 (scanning probe microscopy)

    Outlier detection and classification in sensor data streams for proactive decision support systems

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    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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