scholarly journals Medieval clayware as a determiner of the ethnocultural composition of the population

2021 ◽  
Vol 34 (01) ◽  
pp. 205-210
Author(s):  
Malvina Stanislavovna Kuptsova
Keyword(s):  
Statistical Analysis ◽  
Eastern Europe ◽  
State Transformation ◽  
Ethnocultural Groups ◽  
Bulgarian Population ◽  
Technological Analysis

This article examines the medieval utensils found on the territory of the medieval towns of Volga, Bulgaria. Statistical analysis, technical and technological analysis is carried out. Based on the analysis of material materials, ethnocultural groups are linked, their interaction, and their influence on the local Bulgarian population. Volga Bulgaria is a major state transformation on the territory of medieval Eastern Europe, which included a large number of immigrants, one of which, in this case, the Ugric component, will be considered in the article.

scholarly journals The Poland competitiveness and the trade connections in reference to the countries of Central and Eastern Europe and former USSR

2010 ◽  
Vol 12 (1-2) ◽  
pp. 129-144
Author(s):  
Tadeusz Maceikianec
Keyword(s):  
Czech Republic ◽  
Statistical Analysis ◽  
Eastern Europe ◽  
Central And Eastern Europe ◽  
Former Ussr

In the paper is presented multiaspectual indicatory statistical analysis (TI, RCA, IIT, ESI) of the Polish trade with the countries of Central and Eastern Europe and former USSR in the reference to UE-15 countries. The chosen group of countries encloses all the former republics of the USSR (Armenia, Azerbaijan, Belarus, Estonia, Georgia, Kazakhstan, Kyrgyzstan, Lithuania, Latvia, Moldova, Russia, Tajikistan, Turkmenistan, Ukraine, Uzbekistan) and Bulgaria, Czech Republic, Romania, Hungary, Slovakia. Studied countries were divided into two groups - UE and non UE. It was showed that in the first group had appeared a tendency to levelling the competitiveness and to the growth of cooperation, in second however the level of cooperation is close to the zero and the level of competitiveness diminishes in relation to Poland. 1.

scholarly journals Compositional and Textural Variations in Hainite-(Y) and Batievaite-(Y), Two Rinkite-Group Minerals from the Sakharjok Massif, Keivy Alkaline Province, NW Russia

Minerals ◽  
2018 ◽  
Vol 8 (10) ◽  
pp. 458 ◽  
Author(s):  
Ekaterina Selivanova ◽  
Lyudmila Lyalina ◽  
Yevgeny Savchenko
Keyword(s):  
Statistical Analysis ◽  
Solid State ◽  
State Transformation ◽  
Solid State Transformation

Compositional and textural variations in the rinkite group, seidozerite supergroup minerals, batievaite-(Y), hainite-(Y) and close to them titanosilicates from the Sakharjok massif were studied. Statistical analysis allowed for defining two major substitution schemes leading to batievaite-(Y) and cation-deficient titanosilicates forming: Ca2+ + Na+ + F− ↔ □ + Y3+ + (OH)− and Ca2+ + Na+ ↔ □ + REE3+. Batievaite-(Y) and other cation-deficient titanosilicates are the earlier minerals formed by solid state transformation of the primary full-cation phase. Hainite-(Y) is a later mineral. It forms rims around earlier titanosilicates, or, less often, separate crystals.

Statistical Analysis of Air Pollution and Life Expectancy in Eastern Europe

2020 ◽  
Vol 11 (3) ◽  
pp. 763
Author(s):  
Cristian DINU ◽  
Cristina POPÎRLAN ◽  
Irina Valentina TUDOR
Keyword(s):  
Air Pollution ◽  
Statistical Analysis ◽  
Life Expectancy ◽  
Eastern Europe ◽  
Air Pollutants ◽  
Descriptive Analysis ◽  
International Agency ◽  
Correlation And Regression Analysis ◽  
Sulphur Oxides ◽  
New Perspective

In this paper, we present a statistical analysis of the main air pollutants and life expectancy in some countries from Eastern Europe: Bulgaria, Czech Republic, Hungary, Poland, Romania and Slovakia. We use statistical tools to describe and model air pollution data. The data involve a period of 18 years and include the annual average concentrations volatile organic compound, particulate matters, nitrogen oxides (NOX), sulphur oxides (SOX). The descriptive analysis of these variables is presented, before the model of the dependence between them, in order to discover the relationship between them. The correlation and regression analysis allow to find precisely formula of the connections that link life expectancy (LE) and the main air pollutants. The results obtained in this study reveals a new perspective of health and air quality and also, they present a new tool for all national and international agency for arguing that reducing the air pollution is closely related to a long-life expectancy.

scholarly journals A STUDY OF BRONZE AGE CERAMICS FROM THE FOREST ZONE OF EASTERN EUROPE: WHAT DOES THE TERM “FATYANOVO-LIKE” MEAN?

2018 ◽  
Vol 46 (2) ◽  
pp. 52-59 ◽  
Author(s):  
E. V. Volkova
Keyword(s):  
Eastern Europe ◽  
Bronze Age ◽  
Forest Zone ◽  
Local Traditions ◽  
Technological Analysis ◽  
The Bronze Age

The Bronze Age pottery from the forest zone of Eastern Europe includes a category that is often described as “Fatyanovo-like”. It reveals a blend of predominantly Fatyanovo and other features. A morphological and technological analysis of 129 vessels from Nikolo-Perevoz I (a settlement with a collective burial) and II has revealed four groups––one Fatyanovo proper and three evidencing a mixture of Fatyanovo with local traditions of various origins. The Fatyanovo-Volosovo group appears to have been a result of local mixture, whereas that from the burial is close to the Fatyanovo-Osh-Pando tradition, which had been introduced from without. These fi ndings are relevant to the relationships between the Fatyanovo, Volosovo, and Osh-Pando people. Also, they demonstrate that the umbrella term “Fatyanovo-like” is meaningless.

Statistical analysis of classification

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.

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

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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