Eco-Economic Systems of Russian Agriculture: Statistical Analysis

Subject. This article discusses the issues related to the distance employment of workers. Objectives. The article aims to highlight the issue of business transition to a distance operation option during force majeure events in the world economy. Methods. For the study, I used a statistical analysis. Results. The article offers certain recommendations to extend distance employment and presents two models for its development in the post-crisis environment. Conclusions. A widespread model of social and labor relations on the principle of distance-based cooperation and communication can be used extensively both in force majeure circumstances and during the normal functioning of economic systems. The proposed model of spatial allocation of economic resources would help maintain the resilience of enterprises to force majeure. However, this would involve changes in the behavioral patterns of workers.

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What Was Socialist Food and What Comes Next?

Contemporary European History ◽

10.1017/s096077731600045x ◽

2016 ◽

Vol 26 (3) ◽

pp. 523-532

Author(s):

ANTON MASTEROVOY

Keyword(s):

United States ◽

European Union ◽

Soviet Union ◽

Former Soviet Union ◽

The United States ◽

Economic Systems ◽

The European Union ◽

The Soviet Union ◽

Russian Agriculture ◽

Food Shortages

Food in the former Soviet Union remains serious political business. In the summer of 2014, in retaliation against Western sanctions imposed in response to the annexation of Crimea, Vladimir Putin's government decreed an odd brand of ‘self-sanctions’ by forbidding the importation of many foodstuffs from the United States and the European Union. Conservative supporters of President Putin sprang into action, exhorting Russian consumers to embrace the opportunity to develop Russian agriculture while Putin's opponents raised the spectre of late Soviet food shortages. Though starvation does not seem like a genuine threat to modern Russia, the fact that these questions are raised at all requires scholars of food to pay attention to Russia and scholars of Russia to view food as an important aspect of the country's history. Serious studies of food in the Soviet Union and under other socialist regimes are particularly worthy of attention since these socio-economic systems, paradoxically, were best known both for proclaiming an end to hunger and for presiding over chronic shortages if not outright famines.

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Statistical analysis of classification

Symposium - International Astronomical Union ◽

10.1017/s0074180900053420 ◽

1966 ◽

Vol 24 ◽

pp. 188-189

Author(s):

T. J. Deeming

Keyword(s):

Multivariate Analysis ◽

Statistical Analysis ◽

Classification Scheme ◽

Analytical Procedure ◽

Narrow Band ◽

Scientific Research ◽

Maximum Amount ◽

Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

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Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s042482010013064x ◽

1992 ◽

Vol 50 (2) ◽

pp. 1202-1203

Author(s):

Gianluigi Botton ◽

Gilles L'espérance

Keyword(s):

Statistical Analysis ◽

Spatial Resolution ◽

Personal Computer ◽

Systematic Study ◽

Present Author ◽

Chemical Elements ◽

Detection Limits ◽

Research Groups ◽

Quantitative Performance ◽

Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

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