№ 125(1), January, 2017
Public date: 31.01.2017
Archive of journal: Articles count 57, 133 kb
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01.00.00 Physical-mathematical sciences
Description
Adequate and effective assessment of the efficiency, effectiveness and quality of scientific activities of specific scientists and research teams is crucial for the information society and society based on knowledge. The solution to this problem is the subject of scientometrics and its purpose. The current stage of development scientometrics differs greatly from its previous appearance in the open as well as paid on-line access to huge amount of detailed data on a large number of indicators on individual authors and on scientific organizations and universities. In the world, there are well-known bibliographic databases: Web of Science, Scopus, Astrophysics Data System, PubMed, MathSciNet, zbMATH, Chemical Abstracts, Springer, Agris, or GeoRef. In Russia, it is primarily the Russian scientific citing index (RSCI). RSCI is a national information-analytical system, accumulating more than 9 million publications of Russian scientists, as well as information about citation of these publications from more than 6,000 Russian journals. There is a lot of data, so-called "Big data". The main primary scientometric indicator (based on which we build all the rest, such as the h-index) is the number of citations of the author's works, placed in the bibliographic database. This number of citations is determined by the software of RSCI using so-called "binding" which is a grammatical analysis and search in databases for works of the author, for relevant links from references in the works of various authors. However, the problem is, as experience shows, that authors make a very large number of simply incorrect and incomplete references in the reference lists, very far from standard. Currently, the software that RSCI uses does not automatically bind these invalid references, and this requires human intervention. But, centrally, to do this is not possible by experts of RSCI because of the huge amount of work, and distributed work for a large number of specialists in the field still requires a centralized moderation. As a result, the work for binding references to the literary sources is very slow and a huge amount of links is unbound. This leads to an underestimation of nanomatrices indicators of both individual authors and research teams that cannot be considered acceptable. The solution to this problem is offered by applying the automated system-cognitive analysis (ASC-analysis) and its programmatic Toolkit – intellectual system called "Eidos". This work provides a numerical example of the intellectual anchor of the real incorrect references to the works of the author on the basis of a small amount of real scientific data that are publicly available free on-line access to the RSCI
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A POSTAGE STAMP AS A RESOURCE OF INFORMATION IN THE HISTORY OF AGRONOMY
Description
The article considers illustrative images of plants on the postage stamps as a resource of information of agronomy history. We have shown the technology of education process. The first is the creation of the images base; the second are analysis, comparison, interpretation and search of new information. The method of sketches as the basis of the iconography of plants images was presented in this work. Analysis of the images allowed identifying several thematic blocks. Agriculture, growing in the country, the history of the plants spread, the technology of processing, product export and promotion of agronomic knowledge through agricultural exhibitions. Object of the analysis is a postage stamp. Stamps reflect the whole life of people, their history and modernity, environment, agriculture, science, culture and art. A stamp is a kind of "business card", it is a witness of the era. The main idea of the base images is receiving new knowledge about an object by collecting images, visual analysis, searching for information and studying material; in fact, it is a new approach to obtaining new knowledge, motivated and exciting approach to receive scientific information. Created database of images on the history of agronomy on the basis of stamps allows to use them actively in the learning process, and may be used as the individual topics for researches
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01.00.00 Physical-mathematical sciences
Description
In the article we build a mathematical model of elec-tro-diffusion of ions in the diffusion layer of a mem-brane system complicated by the occurrence of the previous slow homogeneous chemical reaction with the condition of electrical neutrality of the solution. We have set a two-point boundary value problem and developed a method to solve it; we have given an algorithm and a numerical method for solving it in Comsol 3.5 environment. The formula for limiting kinetic current was derived. Some of the model’s capabilities to describe the properties of the system are given
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CAYENNE, NEW HERBICIDE FOR FIGHTING WEEDS IN CROPS OF WINTER WHEAT
06.00.00 Agricultural sciences
Description
One of the most destabilizing factors of crop production is weed infestation of crops. Despite annual herbicide treatment, weed infestation of crops of winter wheat remains high, with a predominance of annual dicotyledonous weed with a higher proportion of drug resistant on the basis of 2,4-D. We also notice increased range and density of perennial dicotyledonous weeds. New combinational herbicide called Cayenne, manufactured by LLC "Agro Expert group", which in its composition contains two active substances: thifensulfuron-methyl (500 g/l) and florasulam (170 g/l), highly inhibits both annual and perennial dicotyledonous weeds. According to the working program of the registrant's company we have tested Cayenne on crops of winter wheat in spring in the tillering phase and the formation of the second internode. It is shown that its use in doses of 0.025 and 0.035 kg/ha in mixture with 200 ml/ha of surfactant-Bit 90, W provides effective suppression of annual and perennial dicotyledonous weeds (90 – 100 %). The negative effect on the culture was not observed. At the same time, within 2-3 days after herbicide application we observed cessation of growth, chlorosis, dieback of growing points of weeds. Complete death was observed after 15 – 20 days
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CONTROL OF NON-METALS, AROMATIC HYDROCARBONS AND MINERALS IN GROUNDWATER OIL REFINERY IN TUAPSE
Description
Groundwater is the source of drinking water in rural areas, it is a part of urban water and it is formed due to the filtering of cross waters in a stratified medium permeable rocks. The impact of anthropogenic factors leads to changes in the qualitative composition of groundwater. The article presents the results of industrial environmental monitoring of ground water refinery of Tuapse in the period from 2012 to 2016 according to its content of ammonium-nitrogen, nitrate-ions, sulphates, formaldehyde, toluene, xylene and ethylbenzene. Analysis of groundwater sampled from wells located at the site of the refinery was conducted by a factory-certified laboratory. The content of the components meet the regulatory indicators. We examine the effects of industrial toxicants on the human body
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GENERAL AND SPECIAL IN MENTALITY OF CADETS
Description
The article aims to reveal general and specific features in the mentality of students of different nations. The author comes to the conclusion that knowledge of mentality of students of different nationalities is a precondition for their successful learning in the multicultural environment of the military institution, the effective interaction with the faculty
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Description
This article proposes an approach to the creation of abstract, based on the association of machine typesetting and creating pictures, which is especially important in connection with the development of information technology in today's society. The analysis of existing approaches to the creation of lecture notes based on a letter by hand and machine typing. Identified strengths and weaknesses of existing approaches. We have considered in detail an algorithm of adding graphic information into the abstract, using an approach based on typing on a PC or laptop. The article conducts an analysis of existing researches and experimentation in this direction. We have revealed one of the problems associated with the proposed approach, based on the location of seats in the classroom, considered one of the options for its solutions. The necessity of the development of specialized software was found. We have demonstrated lack of suitability of text editors for the implementation of the proposed approach
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PREPARATION OF LUMPY VEGETABLE WASTE IN PRODUCTION OF MODIFIED BUILDING MATERIAL
Description
Rational and efficient use of natural resources is an important element of sustainable development. Waste is a significant loss of material and energy resources. Recycling and disposal of waste can be a cause of pollution, harmful substances and infections on people. Index of waste production is closely linked to the level of economic activity in the country and sums up the structures of production and consumption that are formed in the society. Reduction of capacity size of waste production is a measure of promotion of the economy sector to less material-intensive structures of production and consumption. Phytogenic wastes are mostly formed in the timber industry, and also are pollutant source of environment. Continuing production and accumulation of waste is a serious environmental problem. The main reason for these circumstances involves insufficiency of power in added-value wood processing, that increase the problem of integrated utilization of low-grade wood, small wood and demolition wood. As a result, the main competitive products in the timber complex of the Krasnoyarsk Territory are industrial wood and roundwood. Solution to these topical issues of optimum use of the resulting waste in the Krasnoyarsk Territory needs to be solved with the help of mathematical modeling of process optimization of recycling lumpy plant waste. Rational use of lump plant waste is one of the most serious and, unfortunately, unresolved problem
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APPROBATION OF SSR-ANALYSIS FOR DNA-IDENTIFICATION OF COMMERCIAL WINE YEAST STRAINS
Description
The study was performed to genotype some commercial wine yeast strains with SSR-markers. Five polymorphic SSR-markers were tested in a selection of 15 yeast strains. Tested SSR-markers showed a high level of informativeness as well as polymorphism and can be used further to analyze the genetic diversity of wine yeast
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MATHEMATICAL MODELING IN TECHNOLOGY AND QUALITY EVALUATION OF FOOD PRODUCTS
Description
The analysis of scientific research in the field of food technologies has shown that mathematical modeling is applied in the following directions: adjustment of the modes of technological processes, development of compounding and quality evaluation of ready-made products, and also prediction of shelf life of new products during launching. Models of variance and regression analysis with application of methods of mathematical planning of experiment are most relevant in describing the processes of food production. The article contains the results of our own research about creating composition of fish preserves made of combined minced of fishes, bad-ripening and ripening in salting. The mathematical models of the dependence of organoleptic, structural-mechanical characteristics and characteristics of ripening of preserves on technological factors are presented. The dimensionless generalized index of quality was modeled and the composition of minced was optimized on the basis of its dynamics. It was established, that preserves which contain 42% herring Atlantic and 4,8% salt, have the best organoleptic, structural-mechanical and ripening characteristics. The regression model was developed, which determines the shelf life of wide range of fish preserves, depending on factors affecting it: storage temperature, acidity of the fill, proteolytic activity of the enzyme system of muscle tissue and also the speed of fish ripening, caused by addition of various functional and technological additives. Testing of the model shown, that calculated data of the shelf life of fish preserves correlate with the data obtained experimentally
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