Effects of local topography on the mobility of rock avalanches: A statistical analysis based on 36 cases from south-western China

2021 ◽  
pp. 106351
Author(s):  
Liu Hongwei ◽  
Zhao Xiaoyan ◽  
Xiao Dian
2018 ◽  
Vol 10 (1) ◽  
pp. 1-33
Author(s):  
Dong Wang

Abstract Social think tanks play an irreplaceable role in the field of public governance because of their unique objective perspectives and expertise. But there has disproportionately inadequate research into social think tanks. At present, researches and explorations concerning social think tanks are largely mixed with studies on “think tanks,” and there are still no institutes, groups or periodicals which work specifically as platforms through which social think tanks are evaluated, monitored and supported. To effectively address such problems as the direction, methodology, priorities and points of penetration for research on social think tanks, it is necessary to have a comprehensive, systematic understanding of present researches into social think tanks. By conducting searches in the CNKI database, 224 articles were chosen for statistical analysis in seven respects, namely, year of publication, author, organization with which the author works, theme, citation, concentration of research, and journal involved. Based on analysis findings, this paper suggests building a platform by which to evaluate and monitor researches on social think tanks, establishing an echelon-based model of professional training for social think tanks, stepping up development of social think tanks in western China or the remote and poor parts of the country, optimizing mechanisms for the transformation and application of research outcomes of social think tanks, increasing support to weak fields of research on social think tanks, and conducting research into major and difficult problems confronting social think tanks.


1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming

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.


Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance

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.


2001 ◽  
Vol 6 (3) ◽  
pp. 187-193 ◽  
Author(s):  
John R. Nesselroade

A focus on the study of development and other kinds of changes in the whole individual has been one of the hallmarks of research by Magnusson and his colleagues. A number of different approaches emphasize this individual focus in their respective ways. This presentation focuses on intraindividual variability stemming from Cattell's P-technique factor analytic proposals, making several refinements to make it more tractable from a research design standpoint and more appropriate from a statistical analysis perspective. The associated methods make it possible to study intraindividual variability both within and between individuals. An empirical example is used to illustrate the procedure.


1967 ◽  
Vol 12 (9) ◽  
pp. 467-467
Author(s):  
JOHN C. LOEHLIN
Keyword(s):  

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