Search

Geo-environmental information is an important basis for geohazard analysis and the integration of geo-environmental data is crucial in the construction of urban emergency management systems. In existing urban spatial information systems, the integration of geo-environmental data is neither intuitive nor efficient enough to support the analysis of geohazards well. On the basis of Web virtual globe, this paper proposes a comprehensive framework for the integration and analysis of geo-environmental data. This framework can effectively integrate geological data with a 3D geological model as a carrier, seamlessly connect geographic data, dynamically load real-time monitoring data, and build 3D visualisation and analysis scenes of urban full-space temporal information in the browser. The application example shows that the proposed framework can provide good geo-environmental data and practical data analysis functions for geohazard early warning and decision making, and improve the efficiency of government departments' response to geohazards. [ABSTRACT FROM AUTHOR]

The nominal group technique (NGT) is a method to elicit healthcare priorities. Yet, there is variability on how to conduct the NGT, and limited guidance on how to analyse a diverse sample of multiple groups. This paper addresses some of this ambiguity, and explores whether different approaches to analysis provide the same outcome/s. Conceptual papers and empirical studies were identified via PubMed and informed an adapted version of the NGT. Twenty-six nominal groups were conducted, which provided in-depth knowledge on how to best conduct this method. Pilot group data were used to compare different analysis methods and to explore how this impacted on reported outcomes. Data analyses for large data-sets are complex; thematic analysis is needed to be able to conduct across group comparisons of participant priorities. Consideration should be given not just to the strength, i.e. sum of votes, or relative importance of the priority, but to the voting frequency, i.e. the popularity of the idea amongst participants; our case study demonstrated that this can affect priority rankings for those ideas with the same score. As a case study, this paper provides practical information on analysis for complex data sets. Researchers need to consider more than one analysis process to ensure that the results truly reflect participant priorities. A priority that has a high score may not necessarily reflect its popularity within the group; the voting frequency may also need to be considered. [ABSTRACT FROM AUTHOR]

Qualitative research literature generally ignores the voids that are created and the materials that are suppressed during data analysis and the writing phase. Qualitative studies are usually based on observations and interviews that hold an immense amount of data. These are transformed to a few condensed papers at the final stage. During this process, many of the findings and insights are omitted. This study focuses on the important but neglected topic of data omitted from final research reports by examining two specific aspects of research: (1) reflexivity, its pretensions notwithstanding, that may often suppress and conceal more than it presents and reveals and (2) relevant findings omitted from final reports despite their marked effect on research. We maintain that these suppressed and obscured materials, the 'dark matter' of qualitative research, have a marked effect on the research and significantly affect the findings and their structure even if they are not included in the final report. [ABSTRACT FROM AUTHOR]

This paper focuses on the application of principal component analysis (PCA) to thoroughly analyse and interpret multidimensional data from a cold rolling process. The analysis includes the effects of variables on the final properties of strips in a cold rolling mill. Unscrambler software was used to analyse and identify hidden variables. Variable correlations were also used to derive correlations between the control parameters. The results of this research will be used to improve the selection of material in order to reduce the occurrence of defects in the cold rolling process and to improve the adjustment of the set points that are performed in every pass or section of the cold rolling process. The hot rolled strips that enter the cold rolling mill are made of different materials and are produced by different strip manufacturers. Some strips break during the thickness reduction process in the cold rolling mill. This paper focuses on two possible causes of breakage: non-uniform strip material properties and failures in the rolling mill process. Two types of rolled strips (those that break and those that do not break) were compared to identify causes of breakage. The results indicate that breakages are caused by material or process failures. PCA was applied to the dataset in order to identify and analyse the relationships between the variables in the process. This information was used to interpret and diagnose the process behaviour. Swarm analysis and relating observations to process behaviour were able to distinguish between different start-up conditions, and between desirable and undesirable process conditions. [ABSTRACT FROM AUTHOR]

The paper focuses on the possibilities of quantitative linguistic method application in the context of psychological disciplines, especially psychodiagnostics. It presents the theoretical basis for this approach, as well as documentation and selected results of the Quantitative Psycholinguistic Analysis of the Formal Parameters of the Text (QPA-FPT) research. The research sample consisted of 76 undergraduates who wrote two types of texts according to in advance given criteria, a stylistically formal text (apology letter) and a stylistically informal text (letter from holiday). Besides, results of psychodiagnostic tests (STAI-X, KṢAT, SSI and PSSI) were collected. During data analysis, all the texts were computationally processed and described by the means of 48 linguistic characteristics (parameters of text). The outcomes of the analysis were then compared with the test results, and significant correlations were identified. The research results include a number of key findings, pointing out the influence of a given text type on its morphological structure, but also the potential links among linguistic features (i.e. text parameters) and specific personality characteristics of the writer, e.g. between the quantity of verbs, emotional skills and the overall score in the SSI test, and between incidence of punctuation and the PSSI test scale distrustful—paranoid. [ABSTRACT FROM AUTHOR]

The karst groundwater system is extremely vulnerable and easily contaminated by human activities. To understand the spatial distribution of contaminants in the groundwater of karst urban areas and contributors to the contamination, this paper employs the spatial information statistics analysis theory and method to analyze the karst groundwater environment in Guiyang City. Based on the karst groundwater quality data detected in 61 detection points of the research area in the last three years, we made Kriging evaluation isoline map with some ions in the karst groundwater, such as SO, Fe, Mn and F, analyzed and evaluated the spatial distribution, extension and variation of four types of ions on the basis of this isoline map. The results of the analysis show that the anomaly areas of SO, Fe, Mn, F and other ions are mainly located in Baba'ao, Mawangmiao and Sanqiao in northwestern Guiyang City as well as in its downtown area by reasons of the original non-point source pollution and the contamination caused by human activities (industrial and domestic pollution). [ABSTRACT FROM AUTHOR]

IntelliCage is an automated system for recording the behavior of a group of mice housed together. It produces rich, detailed behavioral data calling for new methods and software for their analysis. Here we present PyMICE, a free and open-source library for analysis of IntelliCage data in the Python programming language. We describe the design and demonstrate the use of the library through a series of examples. PyMICE provides easy and intuitive access to IntelliCage data, and thus facilitates the possibility of using numerous other Python scientific libraries to form a complete data analysis workflow. [ABSTRACT FROM AUTHOR]

The method of constructing the fatigue curves by photometric data obtained in surface analysis of three-four flat specimens, fatigue-tested in cantilever bending, was examined using an AMg6 aluminum alloy as an example. Before and after experiments the test portions of each specimen are scanned, and the durability of their fragments is assessed at known stress amplitudes by the generated data. [ABSTRACT FROM AUTHOR]