In this article there has been carried out research of the experience of property management in developed countries. There has been considered practice of using efficient property management techniques in developing countries. There has been set a problem of asset management in Russia and have been developed some recommendations for solving the problem
The article is devoted to the question of analysis of food consumption. The consumption structure of main types of agricultural products has been examined. Issues of food needs saturation have been examined as well
The article describes the main trends and methods of analysis. We have also given the examples of specific agricultural organizations, estimated financial condition and suggested the ways to improve the financial sustainability
In the article an effective system of an estimation of a financial and economic status of the factories of a building sector of Krasnodar region (Armavir district), based on use of methods of the multidimensional statistical analysis is introduced. The programmatic complex "FAP-stroi", including MS Excel plug-in, macros of «Statistica 6» and exterior processing of «1С: Enterprise 8» is built
The article reviews the results of the analysis of technical and operational characteristics of domestic and foreign grill apparatus. The most important indicators of the apparatus are discussed
The article touches upon the issue of identifying
patterns of the entrepreneurial sphere development in
the Russian Federation regions. The following areas
of business activity, leading in terms of the turnover
of small businesses, were analyzed in the study:
agriculture; wholesale and retail trade;
manufacturing. In order to identify the favorable
conditions for the development of the studied
entrepreneurial areas in the Russian Federation, the
authors have developed an algorithm based on the
methods of N.G. Zagoruiko and on the methods of
reducing the dimension of attribute space. It was
found, that the studied areas of entrepreneurial sphere
do not interact much with each other, and the
mechanisms of their professional communication are
not developed sufficiently. A model in the form of
decision rules of favorable conditions for the
enterprises functioning in the entrepreneurial sphere
of Russian regions was created with the use of the
author's algorithm. The study revealed that
agriculture is mainly influenced by the climate, the
population of the region, the number of small
businesses, the land area of the region, and
investment in fixed assets. Wholesale and retail trade
are influenced by the standard of living of the
population, the land area of the region, and the
number of small businesses. The manufacturing
industry is influenced by the number of small
enterprises, the standard of living of the population,
investment in fixed assets, and the land area of the
region. The basis of the created model and the
revealed consisted patterns can be used to form an effective governmental policy of the development of
entrepreneurial sphere in the Russian Federation
regions
The main purpose of any organization is profit making,
that is why profit research is necessary. Profit is
important part of stable position and further
development of the organization. Various factors
influence profit in different ways. Analysis of the
impact of certain factors on the financial result makes
it possible to reveal errors in time and to develop
measures aimed at solving the problems. In the article,
the main factors that influence profit are considered.
A factor analysis of the profit both for the whole
organization and for individual type of product was
conducted, to determine the impact of the profit from
the sale of a particular type of product on the final
financial result. The impact of each factor on profit
was measured, to identify profit growth resources of
the organization. The main directions of increasing
production efficiency were determined to achieve high
financial results
In the article, we present the analysis and improvement
of existing methodologies for assessing the
intelligence factor, taking into account its use of the
Internet on a regular basis. Today, the use of the
Internet in our daily activities and tasks become
practice that is more common. The Internet has
become a popular and most frequently used means of
obtaining information quickly and in large volume.
The authors suggested the presence of the Internet and
its impact on the everyday use of psychological and
intellectual life of the people that can be recorded
because of user IQ scores. It is suggested here also gets
its development in the search for and analysis of
system models, allowing determining the numerical
values of the parameters. Specifically, it is proposed to
use a large variety of statistical data to clarify the
unknown parameters that determine the levels of
human intelligence, taking into account the impact of
the Internet. These statistics include information such
as the number of people with higher education, the
number of Internet users, the degree of the Internet penetration in society, the most typical tasks that use
the Internet users, and others. For the processing and
analysis of the test statistics in the work proposed to
use tools data mining, ie, data mining. We have also
considered the most typical approaches Data mining,
applied in similar research areas. We have analyzed
what specific principles and methods can best
approach to solving the problems of intelligence
assessment indicators. The result of the article was a
number of conclusions, in particular, the feasibility of
applying clustering to analyze data in the field. Also,
in certain cases, we provided the use of Kohonen
neural network in the vector quantization network
format. Methods: analysis of scientific literature and
online sources of information on the current level in
the field of IQ research; modeling; Methods
systematization (tabular calculations and compilation);
Experiment (real human test data). Methodological
bases of research: a systematic approach (considering
IQ in the form of a functional multi-component
dependencies), probabilistic and statistical approach
(provides guidance for constructing mathematical
models linking together IQ and the influence exerted
on it using the Internet, and to assess the reliability of a
computer program ) qualimetric approach (determines
the need multicriterion diagnostic influence of factors
on the level of intelligence)
In the given article, the estimation of efficiency of scientific educational and innovative activity of scien-tific educational centers is given. Based on the col-lected statistical material, the factors influencing effi-ciency of activity of scientific educational centers, having the small innovative enterprises, and the crite-ria that quantitatively characterize the efficiency of their interaction are revealed
The dynamics of changes in the species diversity of
radiolarians during the last 150 million years with
accuracy to one geological century was determined.
The basic patterns of species and taxa of high rank
change had been established for the boundary
between Cretaceous and Paleogene. There were
revealed topomorphic features of bipolar species,
which have succeeded from the Cretaceous into the
Paleogene and became ancestors of Cenozoic
radiolarian fauna. Changes in the species number in
the boundary between Cretaceous and Paleogene
periods, and also significant variations in the species
diversity in Paleocene and Eocene are connected to a
combination of a number of factors. The most
important of those factors are geological processes,
causing extensive transgressions and regressions,
climate variability, the overall evolution direction of
the Earth biota and competition for important
chemical components for the Radiolaria’s livelihood.
The emergence of powerful tropical forests on the
land with their huge bio-production and bio-chemical
erosion is connected to late Cretaceous era. This
resulted increasing of the dissolved material
proceeding into the sedimentation pool, what is
confirmed by classical bauxites emergence. Because
aluminium oxide and silicon oxide are geochemically
connected, we can state as well about
increasing of dissolved silica flow initiated
development of Diatoms, which became competitors
to Radiolaria in their battle for silica. The last ones
are lost this battle, what caused the species
decreasing. That was not a catastrophic event with
immediate extinction, but a long process