Corrosion of rebar in concrete. Part II: Literature survey and statistical analysis of existing data on chloride threshold

2021 ◽  
Vol 185 ◽  
pp. 109439 ◽  
Author(s):  
Yakun Zhu ◽  
Digby D. Macdonald ◽  
Jie Yang ◽  
Jie Qiu ◽  
George R. Engelhardt
2021 ◽  
Vol 185 ◽  
pp. 109460
Author(s):  
Digby D. Macdonald ◽  
Yakun Zhu ◽  
Jie Yang ◽  
Jie Qiu ◽  
George R. Engelhardt ◽  
...  

Neophilology ◽  
2020 ◽  
pp. 226-234
Author(s):  
Svetlana V. Valiulina

The study deals with the phenomenon of nonce words formation in the language of Alexander Sergeyevich Pushkin. The research novelty is due to language material analysis aspect that was chosen by the author. In spite of such a great number of research works describing Pushkin's nonce words from the word-formation standpoint we make an attempt to deepen and develop the existing data. The goal of the study is to reveal specific features of nonce formation in the language of A.S. Pushkin. Nonce words are selected using the method of continuous sampling. These words receive the “nonce words” status as a result of their comparison with the units of the “Explanatory Dictionary of the Living Great Russian Language” by V.I. Dal. As a result of the analysis of the language material 247 nonce units are singled out, modes of their formation are defined. Thereafter, the nonce words are categorised into groups according to the mode of their formation. A statistical analysis of the material is also made. The most productive way of nonce formation is defined. The larger part of Pushkin’s nonce words is derived according to existing in the Russian language word-building patterns. The most productive ways of nonce words formation are defined in the actual work. The research helps to explain the use of nonce words in the writer’s works from the linguistic standpoint.


1998 ◽  
Vol 3 (2) ◽  
pp. 90-95
Author(s):  
Kayvon Safavi ◽  
Martin A. Weinstock

Background: Increasingly, large collections of pre-existing data are being used to analyze the occurrence, burden, and health care resources directed to the management of various skin diseases. Objective: This article discusses a number of different types of large datasets along with their common uses. Various concerns about the use of this information are also discussed. Conclusion: Although large datasets provide significant statistical power with readily available data, there are significant concerns, particularly regarding data quality and statistical analysis. Readers need to be aware of how an investigator has addressed these issues. Furthermore, the profession needs to be cognizant of very legitimate public concerns regarding confidentiality of personal information.


Author(s):  
Alan J. Silman ◽  
Gary J. Macfarlane ◽  
Tatiana Macfarlane

Although epidemiological studies are increasingly based on the analysis of existing data sets (including linked data sets), many studies still require primary data collection. Such data may come from patient questionnaires, interviews, abstraction from records, and/or the results of tests and measures such as weight or blood test results. The next stage is to analyse the data gathered from individual subjects to provide the answers required. Before commencing with the statistical analysis of any data set, the data themselves must be prepared in a format so that the detailed statistical analysis can achieve its goals. Items to be considered include the format the data are initially collected in and how they are transferred to an appropriate electronic form. This chapter explores how errors are minimized and the quality of the data set ensured. These tasks are not trivial and need to be planned as part of a detailed study methodology.


2016 ◽  
Vol 6 (2) ◽  
pp. 199-210
Author(s):  
Sandeep Bhattacharjee

In a developing economy like India, people talk about the prospects of industrialisation on employment and education. But, somehow we miss those who have been deprived of all the benefits due to some reason or another. In this paper, we have tried to understand the problem of child labour and the factors which gives rise to this problem. For this, we have done some literature survey and also used statistical data to address the problem to a certain extent. We have used MSExcel & SPSS to perform the statistical analysis.


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