№ 121(7), September, 2016
Public date: 30.09.2016
Archive of journal: Articles count 138, 339 kb
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01.00.00 Physical-mathematical sciences
DYNAMICS OF THE GEOMAGNETIC FIELD AND REVERSALS IN THE SATELLITE MODEL
01.00.00 Physical-mathematical sciences
DescriptionThe article deals with the problem of changing the polarity of the geomagnetic field in the satellite model. It is assumed that the central core of the earth magnetized and surrounded by a number of satellites, each of which has a magnetic moment. Satellites interact with a central core and one another by means of gravity and through a magnetic field. It is shown that satellites distributed in orbit around a central core in such a system. It displays two models, one of which on the outer orbit satellites interact with each other and with a central body - the core and satellites, located on the inner orbit. The central body can make sudden upheavals in the fall at the core of one or more satellites, which leads to the excitation of vibrations in the satellite system, located on the outer orbit. It is shown that the duration of phase with constant polarity and upheaval time depends on the magnitude of the disturbance torque and core asymmetry. The second model contains two magnets subsystems and the central core. The rapid change of the geomagnetic field polarity detected on the basis of paleomagnetic data is modeled based on the Euler theory describing the rigid body rotation. In this model, there are modes with a quick flip of the body while maintaining the angular momentum. If the body has a magnetic moment, when there is a change coup magnetic field polarity. This leads to the excitation of vibrations in the satellite subsystems that are on the inner and outer orbits. Numerical simulation of the dynamics of the system consisting of the core and 10-13 satellites was run to determine the period of constant polarity magnetic field
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Description
Along with traditional ways, the biotechnological methods become more significant in contribution to plant conservation in situ. The work is dedicated to elaboration and advancement of the method of isolated tissues and organs culture for conservation and reproduction of the badan, Bergenia crassifolia L., the rare species of Saxifrgaceae family. The conducted study yielded the regenerated plants of B. crassifolia from seeds. For the first time, we have performed conservation and reproduction of B. crassifolia in vitro under conditions of Yakutia
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MICROORGANISMS OF PEDOSPHERE AND PECULIARITIES OF THE SOIL COVER OF AGRICULTURAL LANDSCAPES
DescriptionThe soil by it physical and chemical properties is a poly-dispersed heterogeneous multicomponent unique environment for development of most microorganisms. The soil is the richest natural substrate according to microbial gene fund. Presence of plants and animals in soil maintains it heterogeneous as environment of soil microorganisms, which are main regulators of natural gas composition of atmosphere of Earth, including its macro- and micro-components (including the main "greenhouse" gases - methane, carbon dioxide, nitrous oxide). Recently, the elucidation of these singularities of vital activity of soil organisms has resulted in general conclusion - due to them soil cover serves as a global bio-geo-chemical membrane, through which the exchange of matter and energy between pedosphere, lithosphere, atmosphere, hydrosphere and main living inhabitants of Earth does its work
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COMPARATIVE ASSESSMENT OF THE CLONE OF STOCK М9ЕМLA AVERAGEGROWING APPLE-TREE
DescriptionIn FSBRI «North-Caucasus zonal scientific-research institute of horticulture and viticulture» (Krasnodar) there was carried out the comparative economicbiological study of the average-height apple-tree stock М9ЕМLA in comparison with initial weakgrowing stock М9 in manifold, nursery and garden. Manifold bushes of the clone M9ЕMLA is quite worse in force than the stock М9 and were less branchy. Output of standard per hectare of manifold at the clone M9ЕMLA was on 35,5 thousand units more, and а standard condition of cuttings - on 13,2 % higher, than at the stock М9. Cuttings of the clone were less spiked and better rooted. In the first field of nursery, the plants of the clone had a vertical growth of the central conductor, slightly weaved and were more suitable to inoculation. The output of standard plants, in the variant with the use of clone M9ЕMLA by the variety Champion, in average for 2006-2010 was on 3112 units/hа, and on the variety Prikubanskoye – correspondently on 2470 units/hа higher than grafted on the stock М9. The cost price of 1000 seedlings on the clone M9ЕMLA was on 1962 rubles less than on the stock М9, and the standard of profitability of seedling growing, on the contrary was on 14-19 % higher. In the garden the trees on the clone M9ЕMLA were worse in growth of trees grafted on М9: on volume of the crone on 0,4-0,6 m3 , in diameter of the stem on 9-12 mm, in dependence on the variety, independently on the fact that some trees on clone were more weaker than grafted on the stock М9, their productivity for 2011-2015 was higher as from one tree as from the unit of area. The intensity of fruiting expressed in yield in kilos from a tree on the unit of volume of the top of a tree on the clone M9ЕMLA was on 33-39% higher than at the trees on the stock М9
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INFLUENCE OF MELAPHEN ON AGROBIOLOGICAL AND TECHNOLOGICAL CHARACTERISTIC OF SAVINION WHITE GRAPE
DescriptionHereby we present the results of the research devoted to study of influence of growth modulator called melaphen on the technical brand of gapes such as Sovinion White and its agro-biological characteristics. The research was conducted in 2014-2015 using fruitful grape Sovinion White of 2004 planting as a subject in agro farm “Yuzhnaya” of Temruk in the Krasnodar Region. Melaphen is a type of melamine salt of bioximethilphosphin acid. It evokes complex influence on the energetic complex of vegetation cell in all three stages of vegetation. The chemical was applied mechanically by a tractor sprinkling. The square of tested patch is 2 hectares. Melaphen usage was 6,7 ml to 1 hectare . Norm of liquid applied was 700 liters to 1 hectare. Three times the chemical was applied during vegetation: before blossoming, grape growth phase (grapes the size of a pea) and before the grapes ripen. As a result it was estimated that three times chemical application of melaphen to Sovinion White in dose 1. 10-9 in period after blossoming of grapes and before the grapes ripen led to more saturated accumulation of sugar in juice of the grapes and also to faster ripening and harvesting, larger mass of grape bunch amount of harvesting from a bush. Besides, in the tested option growing processes are accelerated and pigmentation agents are accumulated faster in the leaves and embryo infestation in winter sleeping core is boosted at larger scale. Better harvest quality leads to better wine materials quality. Application of melaphen provides higher economical efficiency
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Description
Sunflower is one of the most important oilseed crops, which are of great economic importance in Russia and in the world. It is very adaptive crop in terms of climatic conditions range, for that reason it is cultivated on a vast territory of the Russian Federation in various weather conditions. Sunflower oil has high nutritional and taste qualities, it is used numerously in food and is applied in various fields of food industry. The biologically active linoleic acid, phosphatides and fat-soluble vitamins A, D, E and K, which are of great nutritional value to humans, are contained in the oil. According to its calorific capacity, sunflower oil is on the first place among vegetable oils. Due to biological characteristics of sunflower, the Krasnodar region is the most favorable region of the Russian Federation for obtaining high and stable yields of this crop. However, here the drought is observed during the summer period and it affects adversely the productivity and quality of sunflower seeds. The increasing of resistance to unfavorable weather conditions is possible only based on detailed study of physiological features of productivity formation and seeds quality that is highly important task in view of the current geopolitical situation in Russia. One way of solving this issue is the appliance of the growth regulators, possessing anti-stress activity that improve the quality of sowing seeds and increase the productivity and plant resistance to stressful environmental factors. These drugs include growth regulator called Furolan, which was created in KubGTU and is certified for use in Russia. It is not toxic and is used in nano-dozes, there is no its residual quantities in the products and environment. Furolan has a positive effect on physiological and biochemical processes, improves the productivity of plants, their resistance to unfavorable growing conditions by increasing the resistance to dehydration as well as to the risk of fungal diseases
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Description
Sunflower is one of the most important oilseed crops, which are of great economic importance in Russia and in the world. It is very adaptive crop in terms of climatic conditions range, for that reason it is cultivated on a vast territory of the Russian Federation in various weather conditions. Sunflower oil has high nutritional and taste qualities, it is used numerously in food and is applied in various fields of food industry. The biologically active linoleic acid, phosphatides and fat-soluble vitamins A, D, E and K, which are of great nutritional value to humans, are contained in the oil. According to its calorific capacity, sunflower oil is on the first place among vegetable oils. Due to biological characteristics of sunflower, the Krasnodar region is the most favorable region of the Russian Federation for obtaining high and stable yields of this crop. However, here the drought is observed during the summer period and it affects adversely the productivity and quality of sunflower seeds. The increasing of resistance to unfavorable weather conditions is possible only based on detailed study of physiological features of productivity formation and seeds quality that is highly important task in view of the current geopolitical situation in Russia. One way of solving this issue is the appliance of the growth regulators, possessing anti-stress activity that improve the quality of sowing seeds and increase the productivity and plant resistance to stressful environmental factors. These drugs include growth regulator called Furolan, which was created in KubGTU and is certified for use in Russia. It is not toxic and is used in nano-dozes, there is no its residual quantities in the products and environment. Furolan has a positive effect on physiological and biochemical processes, improves the productivity of plants, their resistance to unfavorable growing conditions by increasing the resistance to dehydration as well as to the risk of fungal diseases
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Description
A determination system of the population health is a big complex hierarchical system. The current level of management of such systems involves the use of mathematical models and corresponding software tools for the accumulation of baseline data (monitoring), identification, prediction and decision-making. However, when modeling such large complex systems, we face a number of problems. The main problem is that in one model it is necessary to process a very large number of factors in a proper and comparable way, that are measured in different units, and different types of scales (numeric and text). Traditionally, to solve this problem and determine the values of individual criteria we use expert evaluation and desirability functions, and the integral criterion is the geometric mean. However, the traditional approach, currently applied in this field, has several disadvantages. First, in the traditional model it is defined in an expert way, which factors influence the decision of different problems in a positive way, which ones are negative and which ones do not affect. Second, for the numerical evaluation of influence factors on the solution of the problem we use different algorithms for calculating values of the desirability function for positively and negatively influencing factors which, when used as an integral criterion of the geometric average, leads to comparable results. Third, the use of normalized utility functions leads to the leveling force of the impact factors resulting in weak impact and the influencing factors are given the same variation in numeric values and have similar influence on integral criteria. All of the mentioned problems of the traditional approach have been resolved using Automated system-cognitive analysis (ASC-analysis) and its programmatic Toolkit – Universal cognitive analytical system called "Eidos". In the proposed systemic cognitive model, for the values of environmental and economic factors, without the participation of the experts, we have calculated the amount and the sign of the information contained there about some values of indicators of population health
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Description
In complex multiparameter technical systems there are numerous and varied physical processes which, on the one hand, have a significant impact on the performance of those systems, and on the other hand, it is extremely difficult amenable to description in the form of meaningful analytical models based on equations, because these models must take into account the specific features of the systems. As a consequence, the development of conceptual analytical models is a "hand-made work" and it is associated with a large number of simplifying assumptions that reduce their versatility and reliability. But there is also another principle of modeling: the construction of phenomenological information models, i.e. models that do not have analytical forms of representation that describes the simulated system superficially as a "black box". Such models can be built directly based on empirical data and with the appropriate software it can be a standard technology much faster and much less time consuming than developing meaningful analytical models. On the other hand, the phenomenological information model can be sufficient to determine the rational design features and parameters of the modes of operation of complex technical systems. Besides, such phenomenological models can be viewed as the first stage in the development of meaningful analytical models. It is proposed to use a new universal innovative method of artificial intelligence for creating phenomenological models of complex technical systems: automated system-cognitive analysis (ASC-analysis) and its programmatic Toolkit which is a universal cognitive analytical system called "Eidos". In the system of "Eidos" we have implemented a software interface that provides direct input into the system large amounts of empirical data from an Excel file. The system of "Eidos" can directly (based on empirical (experimental) data) calculate how much information about the results of the technical systems is contained in the facts of possessing certain specific structural elements and certain values of the parameters modes of its work. On this basis, the system provides research-based and appropriate recommendations for the rational choice of design features and parameters of the operation modes of the simulated system
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Description
It is well known that genetics studies the mechanisms of variation/heredity and widely uses the concept of "genetic information". While genetics considers the information as the content of the genetic code - structure of DNA and RNA included in the cell of a living organism. Genetics examines the mechanisms of recording, copying, readout of genetic information, the possibility of its modification and its influence on the characteristics and properties of the organism. In conversational and scientific language we know phrases, such as "Genes contain information about the characteristics/properties of the body." Paradoxically, we see no attempts to determine the amount of information contained in specific genes on specific characteristics or phenotypic properties of the organism. It would seem that the application of information theory in genetics is a completely natural and suggests itself. More strange that there are practically no works devoted to the application of information theory for solving problems of genetics. This article is intended, to some extent, to fill this gap on the example of calculating the amount of information in the genes of the characteristics or properties of different grape varieties. It examines the application of automated system-cognitive analysis (ASC-analysis), its mathematical model – system of information theory and software tools – intellectual system called "Eidos" for solving one of the important tasks of genetics: determine the amount of information contained in the genes on various phenotypic characteristics/properties of the grapes. To solve this problem, we perform the following steps: 1) cognitive-targeted structuring of the subject area; 2) the formalization of the subject area, i.e. development of classification and descriptive dials and graduations and training samples; 3) synthesis and verification of information model, reflecting the amount of information in the genes on the phenotypic characteristics/properties (multiparameter typing); 4) displaying the information about the genetic determination system of phenotypic characteristics/properties (SWOT analysis of Fennovoima); 5) displaying the information about the strength and direction of influence of a specific gene on phenotypic characteristics/properties (SWOT-diagrams of genes); 6) the solution to the problem of system identification phenotypic characteristics/properties by the presence of certain genes; 7) quantification of the similarities-differences of the various phenotypic characteristics/properties, upon determination system genes. A specific phenotypic property (or characteristic) is regarded as a noisy genetic text, including genetic information about the true gene property (clean signal) and the noise that distorts this information due to the random effects of the environment. The software tool of the ask-analysis which is "Eidos" intellectual system provides the noise suppression and the selection of true signal