Definition and classification of fault damage zones: A review and a new methodological approach

2016 ◽  
Vol 152 ◽  
pp. 70-87 ◽  
Author(s):  
Jin-Hyuck Choi ◽  
Paul Edwards ◽  
Kyoungtae Ko ◽  
Young-Seog Kim
Author(s):  
Галина Леськів ◽  
Володимир Гобела ◽  
Назар Лесик

The study is devoted to the current problem of the formation and development of environmental entrepreneurship. The urgency of this problem is substantiated researched the unsatisfactory level of environmental safety of Ukrainian enterprises and the crisis of the environment. The study's purpose was to analyze the economic tools to stimulate environmental entrepreneurship, structural and functional characteristics and classification of tools to determine priority areas for improvement. The study forms a definition of economic tools to stimulate environmental entrepreneurship. Theoretical analysis and structural and functional characteristics of economic tools were performed. A scientific and methodological approach to the classification of economic tools was proposed, which allowed improving the system of its classification. Based on the results of the study, the main directions of development and improvement of economic tools to stimulate environmental entrepreneurship were proposed.


Author(s):  
A.A. Fathulin ◽  
N. A. Fathulina ◽  
S. N. Basova

The complexity of understanding the nature of risks, as well as the diversity of their types and manifestations, including financial risks, requires the use of a methodological approach to their classification. Classification of financial risks is of particular importance in the company's activities in order to effectively manage them. The article analyzes the concepts of "risk" and "uncertainty", and provides risk classifications for various reasons. It is concluded that it is possible to control and manage risks through comprehensive accounting and, accordingly, prevention of various types of threats and uncertainties in the company's activities.


Author(s):  
Nirmali Goswami

Advances in different disciplinary traditions suggest that the classification of languages into standard and non-standard, official and popular, and school and home languages has more to do with power relations than factors intrinsic to language as such. Such classifications, in school space and beyond, articulate hierarchical relations constituted through interaction of class, race, and ethnicity in specific historic context. An examination of the process of classification of languages gives us important insights into the interrelation between social and learner identity of students in school and about discourses of power in general. Scholars from a political economic perspective have argued how identification and hierarchical positioning of languages as high and low status in school context contribute to the process of social reproduction of class based inequality through education. In recent years the reproduction framework has been challenged for being too rigidly framed on the grids of class while ignoring the gendered and ethnic identity of students that might influence and constitute the language practice of students. The approaches that view language use in school as an act of identity production have generated a number of interesting insights in this field, but these have also been subjected to criticism because of their tendency to essentialize social identities. Many of these have also been questioned for directly or indirectly employing a cultural deficit theory on the basis of class, race, or ethnicity. Such concerns necessitate a shift of focus toward examination of the process through which the very category of standard languages, considered appropriate for schooling, emerges. In this respect the work of Pierre Bourdieu is significant in highlighting the political economic context of how certain languages come to acquire higher value than the others. Another perspective emerges from critical studies of colonial encounters that relied on classification of languages as one of the techniques of modern governance. Investigations of such colonial pasts explicate how linguistic groups are imagined, identified, and classified in a society. Postcolonial scholars have argued that such colonial classificatory techniques continue to influence much of social science research today. Methods of research, particularly in the field of education, have been affected by these process to such an extent that our attempts at recovery of non-standard, multilingual speech forms are affected by the very process of investigation. Consequently, studying languages in the school context becomes a more complicated exercise as one is trapped in the very categories which one seeks to open up for investigation. The decolonization of school space, therefore, calls for a fresh methodological approach to undertake study of languages in the school context.


Minerals ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 1110
Author(s):  
Feven Desta ◽  
Mike Buxton

Sensor technologies provide relevant information on the key geological attributes in mining. The integration of data from multiple sources is advantageous in making use of the synergy among the outputs for the enhanced characterisation of materials. Sensors produce various types of data. Thus, the fusion of these data requires innovative data-driven strategies. In the present study, the fusion of image and point data is proposed, aiming for the enhanced classification of ore and waste materials in a polymetallic sulphide deposit at 3%, 5% and 7% cut-off grades. The image data were acquired in the visible-near infrared (VNIR) and short-wave infrared (SWIR) regions of the electromagnetic spectrum. The point data cover the mid-wave infrared (MWIR) and long-wave infrared (LWIR) spectral regions. A multi-step methodological approach was developed for the fusion of the image and point data at multiple levels using the supervised and unsupervised classification techniques. Several possible combinations of the data blocks were evaluated to select the optimal combinations in an optimised way. The obtained results indicate that the individual image and point techniques resulted in a successful classification of ore and waste materials. However, the classification performance greatly improved with the fusion of image and point data, where the K-means and support vector classification (SVC) models provided acceptable results. The proposed approach enables a significant reduction in data volume while maintaining the relevant information in the spectra. This is principally beneficial for the integration of data from high-throughput and large data volume sources. Thus, the effectiveness and practicality of the approach can permit the enhanced separation of ore and waste materials in operational mines.


2010 ◽  
Vol 26 (4) ◽  
pp. 458-462 ◽  
Author(s):  
Suzy Paisley

Objectives: The aim of this study was to assess systematically the scope of evidence and purposes for which evidence is used in decision-analytic models of cost-effectiveness and to assess the implications for search methods.Methods: A content analysis of published reports of models was undertaken. Details of cited sources were extracted and categorized according to three dimensions; type of information provided by the evidence, type of source from which the evidence was drawn and type of modeling activity supported by the evidence. The analysis was used to generate a classification of evidence. Relationships within and between the categories within the classification were sought and the implications for searching considered.Results: The classification generated fourteen types of information, seven types of sources of evidence and five modeling activities supported by evidence. A broad range of evidence was identified drawn from a diverse range of sources including both research-based and non–research-based sources. The use of evidence was not restricted to the population of model parameters but was used to inform the development of the modeling framework and to justify the analytical and methodological approach.Conclusions: Decision-analytic models use evidence to support all aspects of model development. The classification of evidence defines in depth the role of evidence in modeling. It can be used to inform the systematic identification of evidence.


2020 ◽  
Vol 26 (5) ◽  
pp. 1151-1169
Author(s):  
M.Zh. Galustyan ◽  
I.V. Sycheva

Subject. This article deals with the issues of involvement and participation of private investors in stock market trading. Objectives. The article aims to systematize stock risks in terms of improving the quality of private investor risk management and develop a scientific and methodological approach to the construction of a private investor's portfolio on the stock market, which helps minimize risk in various stock trading strategies. Methods. For the study, we used the methods of logical and statistical analyses, correlation, and classification. Results. The article presents a classification of stock market risk, helping apply the criteria of quantitative assessment and source of risk. The developed methodology helps a private investor build a portfolio with minimal risk on the Russian stock market. Conclusions. The existing methods to identify a number of risks are incorrect and need to be refined. For the sustainable development of the country's stock market, it is necessary to develop new and disseminate the current methods to reduce stock risk for the private investor. Based on the presented classification of stock risk, it is possible to develop other new effective methods.


2021 ◽  
Vol 244 ◽  
pp. 10056
Author(s):  
Oksana Pirogova ◽  
Roman Nuzhdin ◽  
Boris Pivovar

The purpose of this study is, using the example of sugar production, to identify parametric characteristics and relationships that make it possible to simulate an algorithm and assessment procedures for predicting the possible results of the economic activity of processing organizations in the context of unstable business relations with suppliers of beet raw materials. The developed methodological approach is based on the classification of factors and conditions by sources of occurrence (external, conjugate and internal environment). When modeling scenario and situational changes, the assumptions inherent in the law of “diminishing returns” were made. In particular, only units of the conjugate environment (beet losses during storage and transportation; sugar losses during storage and in production; conjugation coefficient) are presented as dynamic (subject to change) indicators, the rest are positioned as constants, justifiably unchanged in the short term. Approbation of the proposed valuation procedures made it possible to identify imbalances in the level of dynamics of the resulting indicators (specific profit from sales (per ton of product) and profitability of sales with deviations in the values of the conjugation coefficient of the relative base level characterizing the balance of business relations with suppliers. Based on the results obtained, a conclusion was made about the possibility of manifestation of the established disproportions and the effective use of the proposed methodological approach for their leveling in the subjects of other industries.


2018 ◽  
Vol 8 (4) ◽  
pp. 67 ◽  
Author(s):  
Paola Paoloni ◽  
Gabriele Serafini

A methodological approach to the concept of female entrepreneurship concept has not yet been treated: is female entrepreneurship an individual or collective concept? Is it considered a social or natural variable? The purpose of this research is to clear up these alternatives, which are preparatory questions for any research into female entrepreneurship that wishes to measure its features and effects. The article starts with the proposal of an identification procedure, necessary to identifying the variables of female entrepreneurship. It proceeds by classifying the concept of female entrepreneurship into four different modes and discussing their characteristics. The originality of this research consists in its fourfold classification of the concept of female entrepreneurship, intended as a preparatory step prior to the analysis of its characteristics and measures.


2019 ◽  
Vol 5 (5) ◽  
pp. eaav9188 ◽  
Author(s):  
Sylvain Glémin ◽  
Celine Scornavacca ◽  
Jacques Dainat ◽  
Concetta Burgarella ◽  
Véronique Viader ◽  
...  

Cultivated wheats are derived from an intricate history of three genomes, A, B, and D, present in both diploid and polyploid species. It was recently proposed that the D genome originated from an ancient hybridization between the A and B lineages. However, this result has been questioned, and a robust phylogeny of wheat relatives is still lacking. Using transcriptome data from all diploid species and a new methodological approach, our comprehensive phylogenomic analysis revealed that more than half of the species descend from an ancient hybridization event but with a more complex scenario involving a different parent than previously thought—Aegilops mutica, an overlooked wild species—instead of the B genome. We also detected other extensive gene flow events that could explain long-standing controversies in the classification of wheat relatives.


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