1,720,966 research outputs found
Analysis of Soil Samples from Kosovo
Full text linkA number of soil samples were collected from locations in Kosovo by staff of the
Defense Evaluation and Research Agency (DERA). Twenty three samples were
collected from DERA, Portsmouth and transported in two Aluminium trunks to
British Geological Survey (BGS) on 14 February 2001 for geochemical analysis for
the determination of lead and uranium and particle size analysis if significant uranium
content was encountered.
All samples had been screened by gamma ray spectrometry at DERA to identify
which samples had significant uranium signatures and were thus likely to be
contaminated with depleted uranium.
During sampling at one site, VJ Barracks, it was noted that a building close to the
sampling sites had had an asbestos roof. Consequently, 8 were identified as having
suspicion of containing asbestos, in varying amounts from ‘likely’ to ‘caution
required’ (Table 1)
Analysis of soil samples from Kosovo by XRFS and ICP-QMS
Full text linkA number of soil samples were collected from locations in Kosovo by staff of the then Defence Evaluation and Research Agency (DERA) and since renamed to the Defence Science and Technology Laboratory (DSTL), an agency of the UK Ministry of Defence (MOD). Twenty three samples were collected from DERA, Portsmouth and transported in two aluminium trunks to the British Geological Survey (BGS) on 14 February 2001 for geochemical analysis for the determination of lead and uranium and particle size analysis if significant uranium content was encountered.
All samples had been screened by gamma ray spectrometry at DERA to identify which samples had significant uranium signatures and were thus likely to be contaminated with depleted uranium (DU).
During sampling at one site, Old VJ Barracks, it was noted that a building close to the sampling sites had had an asbestos roof. Consequently, 8 samples were identified as having suspicion of containing asbestos (Table 1).
This report is supplementary to BGS Commissioned Report CR/01/071 (Gowing, 2001a) and CR/01/123 (Gowing, 2001b), which described the first stages of analysis of a number of soil samples by X-Ray Fluorescence Spectrometry for determination of U and Pb content
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Validation for the transition of SPSS QI Analyst to the SPC for Excel program for quality control charting
Full text linkThe statistical process control charting software utilised by the Inorganic Geochemistry team, SPSS QI Analyst version 3.5, (1998, (QIA)), was no longer viable because it was incompatible with operating system requirements for networked computers. Therefore, an alternative program, SPC for Excel version 5, (2017, (SPC)), has been validated to replace the legacy version of QIA.
The benefits of using SPC include but are not limited to the following:
Conformity with accredited QC processes according to the Inorganic Geochemistry Analytical Quality Control Operating Procedure (AGN 1.7)
Ease of transferring results from the analytical software
Program is accessible to computers connected to the network
Control charting and recording QC checks are all accomplished using Excel alone
User friendly with moderate Excel skills
Lower cost per licence than the latest version of the existing software
The following document provides evidence to satisfy the requirements of UKAS accredited Standard ISO17025 by validating the new software system against the existing QIA software according to a validation plan using two complementary approaches. Specifically, this validation document comprises:
Tests with a synthetic dataset, which confirms that QIA and SPC for Excel produce the same result against the criteria specified by Analytical Quality Control procedures (AGN 1.7)
Tests with standards run during a recent large stream water analysis programme, which confirms that QIA and SPC for Excel control charts are able to perform the same quality control checks for analytes in “real” control sample data
A comparative table of terminology differences between QIA and SPC for Excel
A companion document “SPC for Excel Instruction manual v2_WORKING VERSION”, provides working guidance on the operation of SPC for Excel version 5 2017, located in Appendix 5
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