1,361 research outputs found

    Study of Thermal Processing of Carbon-Containing Material in a Fluidized Bed

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    Balance of protein supplements according to the criterion of convertible protein

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    The main sources of vegetable protein are seeds of legumes and oilseeds, which differ as by total content as by the quality. One of the least expensive and most rapid method of assessing the quality of protein is a chemical method, based on a comparative analysis of its amino acid composition, in particular, essential amino acids (EAA), and "ideal" protein. A widespread indicator of the proximity of the protein to the ideal is the minimum period, which shows how much of it can be used by the body for plastic needs (the main exchange and ensuring of body weight gain). Obviously, the more of this (convertible) protein in the product, the better (but not more than the daily value). One of the methods of obtaining a grain product with an increased convertible protein is blending, i.e. mixing in a certain proportion of different types of protein raw materials. In this case, the content of the converted mixture may be greater than in the components, and the excess less. The article presents a methodology for calculating the proportion of convertible protein in the product, as well as a new approach to the formation of effective mixtures. On the basis of this method, the results of the calculation of such mixtures on the example of a grain product with the use of collapsed white lupine, linseed cake and ginger seeds as components are shown. In all cases, there are rational proportions of the mixture, in which its convertible protein exceeds this figure in the component. The accuracy of the calculations largely depends on the accuracy of the total protein content and EAA.The main sources of vegetable protein are seeds of legumes and oilseeds, which differ as by total content as by the quality. One of the least expensive and most rapid method of assessing the quality of protein is a chemical method, based on a comparative analysis of its amino acid composition, in particular, essential amino acids (EAA), and "ideal" protein. A widespread indicator of the proximity of the protein to the ideal is the minimum period, which shows how much of it can be used by the body for plastic needs (the main exchange and ensuring of body weight gain). Obviously, the more of this (convertible) protein in the product, the better (but not more than the daily value). One of the methods of obtaining a grain product with an increased convertible protein is blending, i.e. mixing in a certain proportion of different types of protein raw materials. In this case, the content of the converted mixture may be greater than in the components, and the excess less. The article presents a methodology for calculating the proportion of convertible protein in the product, as well as a new approach to the formation of effective mixtures. On the basis of this method, the results of the calculation of such mixtures on the example of a grain product with the use of collapsed white lupine, linseed cake and ginger seeds as components are shown. In all cases, there are rational proportions of the mixture, in which its convertible protein exceeds this figure in the component. The accuracy of the calculations largely depends on the accuracy of the total protein content and EAA

    Анализ Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ², Π²Π»ΠΈΡΡŽΡ‰ΠΈΡ… Π½Π° Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΡƒ Ρ†Π΅Π½ Π½Π° ΠΆΠΈΠ»ΡƒΡŽ Π½Π΅Π΄Π²ΠΈΠΆΠΈΠΌΠΎΡΡ‚ΡŒ Π² России

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    In this paper, we have constructed a VAR model to identify and assess the impact of real interest rate shocks, real estate demand, oil prices, uncertainty, and aggregate business activity on residential real estate prices in Russia. The relevance of the research is due to the following: the dynamics of real estate prices determines the consumer and investment behavior of households, and serious fluctuations in real estate prices lead to adverse consequences in many areas of life, so more and more researchers are asking questions about the presence of bubbles in the real estate market, which can be dangerous to the stability of the economy. In addition, a sharp increase in the cost of housing in Russia in 2020 is an open question for researchers. Our goal is to determine what factors caused the rise in real estate prices in Russia in the time interval from the Q1 of 2000 to the Q2 of 2022. A VAR model with a Cholesky decomposition was used for the evaluation. Several specifications were considered with the inclusion of the real oil price as an exogenous variable and a set of endogenous variables: real GDP, real interest rate, uncertainty index and housing price index. The main conclusion of the paper is that the housing market is sensitive to identified macroeconomic shocks, and a decrease in the interest rate leads to an increase in demand and real estate prices. The estimate of the long-term elasticity of housing prices for oil prices was 0.35, the dynamics of oil prices explained a significant proportion of the variation in real estate prices, but the predominant role in housing price fluctuations is given to housing demand shocks. The housing demand shocks in Russia itself had a negligible impact on GDP.Π’ Π΄Π°Π½Π½ΠΎΠΉ Ρ€Π°Π±ΠΎΡ‚Π΅ ΠΌΡ‹ построили VAR модСль для ΠΈΠ΄Π΅Π½Ρ‚ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΈ ΠΈ ΠΎΡ†Π΅Π½ΠΊΠΈ влияния шоков Ρ€Π΅Π°Π»ΡŒΠ½ΠΎΠΉ ΠΏΡ€ΠΎΡ†Π΅Π½Ρ‚Π½ΠΎΠΉ ставки, спроса Π½Π° Π½Π΅Π΄Π²ΠΈΠΆΠΈΠΌΠΎΡΡ‚ΡŒ, Ρ†Π΅Π½ Π½Π° Π½Π΅Ρ„Ρ‚ΡŒ, нСопрСдСлСнности ΠΈ Π°Π³Ρ€Π΅Π³ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠΉ Π΄Π΅Π»ΠΎΠ²ΠΎΠΉ активности Π½Π° Ρ†Π΅Π½Ρ‹ ΠΆΠΈΠ»ΠΎΠΉ нСдвиТимости Π² России. ΠΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ исслСдования обусловлСна ΡΠ»Π΅Π΄ΡƒΡŽΡ‰ΠΈΠΌ: Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ° Ρ†Π΅Π½ Π½Π° Π½Π΅Π΄Π²ΠΈΠΆΠΈΠΌΠΎΡΡ‚ΡŒ опрСдСляСт ΠΏΠΎΡ‚Ρ€Π΅Π±ΠΈΡ‚Π΅Π»ΡŒΡΠΊΠΎΠ΅ ΠΈ инвСстиционноС ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ домохозяйств, Π° ΡΠ΅Ρ€ΡŒΠ΅Π·Π½Ρ‹Π΅ колСбания Ρ†Π΅Π½ Π½Π° Π½Π΅Π΄Π²ΠΈΠΆΠΈΠΌΠΎΡΡ‚ΡŒ приводят ΠΊ нСблагоприятным послСдствиям Π²ΠΎ ΠΌΠ½ΠΎΠ³ΠΈΡ… сфСрах ΠΆΠΈΠ·Π½ΠΈ, поэтому всС большС исслСдоватСлСй Π·Π°Π΄Π°ΡŽΡ‚ΡΡ вопросами наличия ΠΏΡƒΠ·Ρ‹Ρ€Π΅ΠΉ Π½Π° Ρ€Ρ‹Π½ΠΊΠ΅ нСдвиТимости, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΌΠΎΠ³ΡƒΡ‚ Π±Ρ‹Ρ‚ΡŒ опасны для ΡΡ‚Π°Π±ΠΈΠ»ΡŒΠ½ΠΎΡΡ‚ΠΈ экономики. К Ρ‚ΠΎΠΌΡƒ ΠΆΠ΅ Ρ€Π΅Π·ΠΊΠΈΠΉ рост стоимости Тилья Π² России Π² 2020 Π³. β€” ΠΎΡ‚ΠΊΡ€Ρ‹Ρ‚Ρ‹ΠΉ вопрос для исслСдоватСлСй. Наша Ρ†Π΅Π»ΡŒ - ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΠΈΡ‚ΡŒ, ΠΈΠ·-Π·Π° ΠΊΠ°ΠΊΠΈΡ… Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² происходил рост Ρ†Π΅Π½ Π½Π° Π½Π΅Π΄Π²ΠΈΠΆΠΈΠΌΠΎΡΡ‚ΡŒ Π² России Π½Π° Π²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΠΌ ΠΏΡ€ΠΎΠΌΠ΅ΠΆΡƒΡ‚ΠΊΠ΅ с I ΠΊΠ²Π°Ρ€Ρ‚Π°Π»Π° 2000 ΠΏΠΎ II ΠΊΠ²Π°Ρ€Ρ‚Π°Π» 2022 Π³. Для ΠΎΡ†Π΅Π½ΠΊΠΈ Π±Ρ‹Π»Π° использована VAR модСль с Ρ€Π°Π·Π»ΠΎΠΆΠ΅Π½ΠΈΠ΅ΠΌ ΠΏΠΎ Π₯ΠΎΠ»Π΅Ρ†ΠΊΠΎΠΌΡƒ. РассмотрСны нСсколько спСцификаций с Π²ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅ΠΌ Ρ€Π΅Π°Π»ΡŒΠ½ΠΎΠΉ Ρ†Π΅Π½Ρ‹ Π½Π° Π½Π΅Ρ„Ρ‚ΡŒ Π² качСствС экзогСнной ΠΏΠ΅Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΠΈ Π½Π°Π±ΠΎΡ€Π° эндогСнных ΠΏΠ΅Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ…: Ρ€Π΅Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ Π’Π’ΠŸ, Ρ€Π΅Π°Π»ΡŒΠ½ΠΎΠΉ ΠΏΡ€ΠΎΡ†Π΅Π½Ρ‚Π½ΠΎΠΉ ставки, индСкса нСопрСдСлСнности ΠΈ индСкса Ρ†Π΅Π½ Π½Π° ТильС. Основной Π²Ρ‹Π²ΠΎΠ΄ Ρ€Π°Π±ΠΎΡ‚Ρ‹ β€” Ρ€Ρ‹Π½ΠΎΠΊ Тилья чувствитСлСн ΠΊ ΠΈΠ΄Π΅Π½Ρ‚ΠΈΡ„ΠΈΡ†ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹ΠΌ макроэкономичСским шокам, Π° сниТСниС ΠΏΡ€ΠΎΡ†Π΅Π½Ρ‚Π½ΠΎΠΉ ставки ΠΏΡ€ΠΈΠ²ΠΎΠ΄ΠΈΡ‚ ΠΊ росту спроса ΠΈ Ρ†Π΅Π½ Π½Π° Π½Π΅Π΄Π²ΠΈΠΆΠΈΠΌΠΎΡΡ‚ΡŒ. ΠžΡ†Π΅Π½ΠΊΠ° долгосрочной эластичности Ρ†Π΅Π½ Тилья ΠΏΠΎ Ρ†Π΅Π½Π°ΠΌ Π½Π° Π½Π΅Ρ„Ρ‚ΡŒ составила 0,35, Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ° Ρ†Π΅Π½ Π½Π° Π½Π΅Ρ„Ρ‚ΡŒ объясняла ΡΡƒΡ‰Π΅ΡΡ‚Π²Π΅Π½Π½ΡƒΡŽ долю Π²Π°Ρ€ΠΈΠ°Ρ†ΠΈΠΈ Ρ†Π΅Π½ Π½Π° Π½Π΅Π΄Π²ΠΈΠΆΠΈΠΌΠΎΡΡ‚ΡŒ, ΠΎΠ΄Π½Π°ΠΊΠΎ ΠΏΡ€Π΅Π²Π°Π»ΠΈΡ€ΡƒΡŽΡ‰Π°Ρ Ρ€ΠΎΠ»ΡŒ Π² колСбаниях Ρ†Π΅Π½ Тилья отводится шокам спроса Π½Π° ТильС. Π‘Π°ΠΌΠΈ ΠΆΠ΅ шоки спроса Π½Π° ТильС Π² России ΠΎΠΊΠ°Π·Ρ‹Π²Π°Π»ΠΈ Π½Π΅Π·Π½Π°Ρ‡ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ΅ влияниС Π½Π° Π’Π’ΠŸ

    Development of regression model of proteins attackability process in meat food (in vitro)

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    In the presented article the authors consider the issues of development of regression model for process of food digestion by proteolytic enzymes in human body. The authors use correlation analysis. They analyze the main nutritional values and physical and chemical properties of meat products, the modes of heat treatment of semi-finished lamb products. The essential parameters and features are determined to find the dependence between the factor values and efficient values of the basic raw material, which affect the quality of the technological processes and, in general, the finished product. The regression model equation is mathematically calculated by methods of solving K. Gauss linear equations. The standard deviations of parameters are calculated, the initial data are normalized; the matrices of the pair correlation coefficients, lower and upper limits of their values are compiled. Equations of the mathematical regression model of meat proteins attackability by proteolytic enzymes β€” in vitro (pepsin, trypsin) are developed. It is proved that the obtained equation represents a regression model of the process of meat food proteins attackability by enzymes (pepsin, trypsin and chymotrypsin), depending on the determined 3 essential factors (weight of a meat piece, duration of frying, collagen content in lamb meat). Also this equation reflects the process of lamb digestibility in a digestive tract of a human body

    Russian Demographic Data Sheet 2016

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    The Russian Demographic Datasheet 2016 shows key demographic data, population trends and projections until 2035. It covers fertility, mortality, migration, population structure including population ageing and their changes. The datasheet combines data for the national level, all regions and districts, and features maps, population pyramids, rankings, graphs and a glossary. It pays special attention to the importance of alternative indicators of population ageing for the current and future population changes across Russia. All information is provided in both languages, Russian and English. The project is a collaboration between IIASA, the Russian Presidential Academy of National Economy and Public Administration (RANEPA), and the Russian Federal State Statistics Service (Rosstat)

    Active shielding of magnetic field with circular space-time characteristic

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    Aim. The synthesis of two degree of freedom robust two circuit system of active shielding of magnetic field with circular spacetime characteristic, generated by overhead power lines with "triangle" type of phase conductors arrangements for reducing the magnetic flux density to the sanitary standards level and to reducing the sensitivity of the system to plant parameters uncertainty. Methodology. The synthesis is based on the multi-criteria game decision, in which the payoff vector is calculated on the basis of the Maxwell equations quasi-stationary approximation solutions. The game decision is based on the stochastic particles multiswarm optimization algorithms. The initial parameters for the synthesis by system of active shielding are the location of the overhead power lines with respect to the shielding space, geometry and number of shielding coils, operating currents, as well as the size of the shielding space and magnetic flux density normative value, which should be achieved as a result of shielding. The objective of the synthesis is to determine their number, configuration, spatial arrangementand and shielding coils currents, setting algorithm of the control systems as well as the resulting of the magnetic flux density value at the shielding space. Results. Computer simulation and field experimental research results of two degree of freedom robust two circuit system of active shielding of magnetic field, generated by overhead power lines with Β«triangleΒ» type of phase conductors arrangements are given. The possibility of initial magnetic flux density level reducing and system sensitivity reducing to the plant parameters uncertainty is shown. Originality. For the first time the synthesis, theoretical and experimental research of two degree of freedom robust two -circuit t system of active shielding of magnetic field generated by single-circuit overhead power line with phase conductors triangular arrangements carried out. Practical value. Practical recommendations from the point of view of the practical implementation on reasonable choice of the spatial arrangement of two shielding coils of robust two -circuit system of active shielding of the magnetic field with circular space-time characteristic generated by single-circuit overhead power line with phase conductors triangular arrangements are given.ЦСль. Π‘ΠΈΠ½Ρ‚Π΅Π· ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠΉ робастной Π΄Π²ΡƒΡ…ΠΊΠΎΠ½Ρ‚ΡƒΡ€Π½ΠΎΠΉ систСмы Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ экранирования ΠΌΠ°Π³Π½ΠΈΡ‚Π½ΠΎΠ³ΠΎ поля с ΠΊΡ€ΡƒΠ³ΠΎΠ²ΠΎΠΉ пространствСнно-Π²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΠΉ характСристикой, Π³Π΅Π½Π΅Ρ€ΠΈΡ€ΡƒΠ΅ΠΌΠΎΠ³ΠΎ ΠΎΠ΄Π½ΠΎΠΊΠΎΠ½Ρ‚ΡƒΡ€Π½ΠΎΠΉ Π²ΠΎΠ·Π΄ΡƒΡˆΠ½ΠΎΠΉ Π»ΠΈΠ½ΠΈΠ΅ΠΉ элСктропСрСдачи с Ρ‚Ρ€Π΅ΡƒΠ³ΠΎΠ»ΡŒΠ½Ρ‹ΠΌ подвСсом ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΎΠ² для сниТСния ΠΈΠ½Π΄ΡƒΠΊΡ†ΠΈΠΈ ΠΌΠ°Π³Π½ΠΈΡ‚Π½ΠΎΠ³ΠΎ поля Π΄ΠΎ уровня санитарных Π½ΠΎΡ€ΠΌ ΠΈ для сниТСния Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ систСмы ΠΊ нСопрСдСлСнности ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π° управлСния. ΠœΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡ. Π‘ΠΈΠ½Ρ‚Π΅Π· основан Π½Π° Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΈ ΠΌΠ½ΠΎΠ³ΠΎΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ стохастичСской ΠΈΠ³Ρ€Ρ‹, Π² ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠΉ Π²Π΅ΠΊΡ‚ΠΎΡ€Π½Ρ‹ΠΉ Π²Ρ‹ΠΈΠ³Ρ€Ρ‹Ρˆ вычисляСтся Π½Π° основании Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΉ ΡƒΡ€Π°Π²Π½Π΅Π½ΠΈΠΉ МаксвСлла Π² квазистационарном ΠΏΡ€ΠΈΠ±Π»ΠΈΠΆΠ΅Π½ΠΈΠΈ. РСшСниС ΠΈΠ³Ρ€Ρ‹ находится Π½Π° основС Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠΎΠ² стохастичСской ΠΌΡƒΠ»ΡŒΡ‚ΠΈΠ°Π³Π΅Π½Ρ‚Π½ΠΎΠΉ ΠΎΠΏΡ‚ΠΈΠΌΠΈΠ·Π°Ρ†ΠΈΠΈ ΠΌΡƒΠ»ΡŒΡ‚ΠΈΡ€ΠΎΠ΅ΠΌ частиц. Π˜ΡΡ…ΠΎΠ΄Π½Ρ‹ΠΌΠΈ ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Π°ΠΌΠΈ для синтСза систСмы Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ экранирования ΡΠ²Π»ΡΡŽΡ‚ΡΡ располоТСниС Π²Ρ‹ΡΠΎΠΊΠΎΠ²ΠΎΠ»ΡŒΡ‚Π½ΠΎΠΉ Π»ΠΈΠ½ΠΈΠΉ элСктропСрСдачи ΠΏΠΎ ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡŽ ΠΊ экранируСмому пространству, гСомСтричСскиС Ρ€Π°Π·ΠΌΠ΅Ρ€Ρ‹, количСство ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΎΠ² ΠΈ Ρ€Π°Π±ΠΎΡ‡ΠΈΠ΅ Ρ‚ΠΎΠΊΠΈ Π»ΠΈΠ½ΠΈΠΈ элСктропСрСдачи, Π° Ρ‚Π°ΠΊΠΆΠ΅ Ρ€Π°Π·ΠΌΠ΅Ρ€Ρ‹ экранируСмого пространства ΠΈ Π½ΠΎΡ€ΠΌΠ°Ρ‚ΠΈΠ²Π½ΠΎΠ΅ Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ ΠΈΠ½Π΄ΡƒΠΊΡ†ΠΈΠΈ ΠΌΠ°Π³Π½ΠΈΡ‚Π½ΠΎΠ³ΠΎ поля, ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠ΅ Π΄ΠΎΠ»ΠΆΠ½ΠΎ Π±Ρ‹Ρ‚ΡŒ достигнуто Π² Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π΅ экранирования. Π—Π°Π΄Π°Ρ‡Π΅ΠΉ синтСза являСтся ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ количСства, ΠΊΠΎΠ½Ρ„ΠΈΠ³ΡƒΡ€Π°Ρ†ΠΈΠΈ, пространствСнного располоТСния ΠΈ Ρ‚ΠΎΠΊΠΎΠ² ΡΠΊΡ€Π°Π½ΠΈΡ€ΡƒΡŽΡ‰ΠΈΡ… ΠΎΠ±ΠΌΠΎΡ‚ΠΎΠΊ, Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠ° Ρ€Π°Π±ΠΎΡ‚Ρ‹ систСмы управлСния, Π° Ρ‚Π°ΠΊΠΆΠ΅ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚ΠΈΡ€ΡƒΡŽΡ‰Π΅Π³ΠΎ значСния ΠΈΠ½Π΄ΡƒΠΊΡ†ΠΈΠΈ ΠΌΠ°Π³Π½ΠΈΡ‚Π½ΠΎΠ³ΠΎ поля Π² экранируСмом пространствС. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. ΠŸΡ€ΠΈΠ²ΠΎΠ΄ΡΡ‚ΡΡ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ тСорСтичСских ΠΈ ΠΏΠΎΠ»Π΅Π²Ρ‹Ρ… ΡΠΊΡΠΏΠ΅Ρ€ΠΈΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½Ρ‹Ρ… исслСдований ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠΉ робастной Π΄Π²ΡƒΡ…ΠΊΠΎΠ½Ρ‚ΡƒΡ€Π½ΠΎΠΉ систСмы Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ экранирования ΠΌΠ°Π³Π½ΠΈΡ‚Π½ΠΎΠ³ΠΎ поля, Π³Π΅Π½Π΅Ρ€ΠΈΡ€ΡƒΠ΅ΠΌΠΎΠ³ΠΎ Π²ΠΎΠ·Π΄ΡƒΡˆΠ½ΠΎΠΉ Π»ΠΈΠ½ΠΈΠ΅ΠΉ элСктропСрСдачи с Ρ‚Ρ€Π΅ΡƒΠ³ΠΎΠ»ΡŒΠ½Ρ‹ΠΌ подвСсом ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΎΠ². Показана Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ сниТСния уровня ΠΈΠ½Π΄ΡƒΠΊΡ†ΠΈΠΈ исходного ΠΌΠ°Π³Π½ΠΈΡ‚Π½ΠΎΠ³ΠΎ поля Π²Π½ΡƒΡ‚Ρ€ΠΈ экранируСмого пространства ΠΈ сниТСния Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ систСмы ΠΊ нСопрСдСлСнностям ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π° управлСния. ΠžΡ€ΠΈΠ³ΠΈΠ½Π°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ. Π’ΠΏΠ΅Ρ€Π²Ρ‹Π΅ ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½Ρ‹ синтСз, тСорСтичСскиС ΠΈ ΡΠΊΡΠΏΠ΅Ρ€ΠΈΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½Ρ‹Π΅ исслСдования ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠΉ робастной Π΄Π²ΡƒΡ…ΠΊΠΎΠ½Ρ‚ΡƒΡ€Π½ΠΎΠΉ систСмы Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ экранирования ΠΌΠ°Π³Π½ΠΈΡ‚Π½ΠΎΠ³ΠΎ поля, Π³Π΅Π½Π΅Ρ€ΠΈΡ€ΡƒΠ΅ΠΌΠΎΠ³ΠΎ ΠΎΠ΄Π½ΠΎΠΊΠΎΠ½Ρ‚ΡƒΡ€Π½ΠΎΠΉ Π²ΠΎΠ·Π΄ΡƒΡˆΠ½ΠΎΠΉ Π»ΠΈΠ½ΠΈΠ΅ΠΉ элСктропСрСдачи с Ρ‚Ρ€Π΅ΡƒΠ³ΠΎΠ»ΡŒΠ½Ρ‹ΠΌ подвСсом ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΎΠ². ΠŸΡ€Π°ΠΊΡ‚ΠΈΡ‡Π΅ΡΠΊΠ°Ρ Ρ†Π΅Π½Π½ΠΎΡΡ‚ΡŒ. ΠŸΡ€ΠΈΠ²ΠΎΠ΄ΡΡ‚ΡΡ практичСскиС Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°Ρ†ΠΈΠΈ ΠΏΠΎ обоснованному Π²Ρ‹Π±ΠΎΡ€Ρƒ с Ρ‚ΠΎΡ‡ΠΊΠΈ зрСния практичСской Ρ€Π΅Π°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ пространствСнного располоТСния Π΄Π²ΡƒΡ… ΡΠΊΡ€Π°Π½ΠΈΡ€ΡƒΡŽΡ‰ΠΈΡ… ΠΎΠ±ΠΌΠΎΡ‚ΠΎΠΊ Π΄Π²ΡƒΡ…ΠΊΠΎΠ½Ρ‚ΡƒΡ€Π½ΠΎΠΉ робастной систСмы Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ экранирования ΠΌΠ°Π³Π½ΠΈΡ‚Π½ΠΎΠ³ΠΎ поля с ΠΊΡ€ΡƒΠ³ΠΎΠ²ΠΎΠΉ пространствСнно-Π²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΠΉ характСристикой, создаваСмого ΠΎΠ΄Π½ΠΎΠΊΠΎΠ½Ρ‚ΡƒΡ€Π½ΠΎΠΉ Π²ΠΎΠ·Π΄ΡƒΡˆΠ½ΠΎΠΉ Π»ΠΈΠ½ΠΈΠ΅ΠΉ элСктропСрСдачи с Ρ‚Ρ€Π΅ΡƒΠ³ΠΎΠ»ΡŒΠ½Ρ‹ΠΌ подвСсом ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΎΠ²

    Innovative technologies of management of social work in the Russian Federation

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    The purpose of studying innovative technologies of social service of elderly people in the Russian Federation is to analyse and synthesize the best regional practices on the organization of social work with elderly people. It is particular importance during political and economic crisis when elderly people become the most wounded group of the population. As a result of this research it has been revealed that the main document organizing social work with elderly people is "Road map" at the regional level. It is described as the basic principles of increase in efficiency and quality of services in the sphere of social service of the population in the Novgorod region for 2013 - 2018. The training, medical-correctional, social and psychological, health saving and spare time of work are revealed with citizens of elderly age.peer-reviewe

    Assessment of Women’s Early-stage Entrepreneurial Activity in 2018

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    The analysis of the regularities characterizing the existing rate of female early-stage entrepreneurial activity, as well as the identification of reserves for female entrepreneurship growth is relevant nowadays. The purpose of the work is to assess the rates of entrepreneurial activity of women, their motivational preferences, and comparative analysis of female and male early-stage entrepreneurial activities. The study is based on the economic analysis of the data on 48 countries, presented in the Global Entrepreneurship Monitor report for 2018. Normal distribution density functions are used in the modeling process. The research reveals features of female entrepreneurship and the barriers to its development. The paper defines countries with high and low values of the considered indicators. The study estimates the existing rates of opportunity and necessity motivation of female entrepreneurs, presents the analysis of the ratio of female to male participation in early- stage entrepreneurial activity, and proves the hypothesis on substantial differentiation of these indicators across countries. The obtained knowledge can be used in future scientific research, in the educational process of bachelors and masters training. The scientific novelty lies in the study of the distribution of indicators characterizing female entrepreneurs’ motivation and the existing gender gap in early-stage entrepreneurship. The study proposes new methods and tools for the analysis and presents a comparative analysis of the development of female and male early-stage entrepreneurship
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