Welcome to WIRE
(Wolverhampton Intellectual Repository and E-Theses)
WIRE is an open access repository for the research publications and other outputs from postgraduate students and staff at the University of Wolverhampton.
Wolverhampton staff: to deposit your publication to WIRE, go to: https://www.wlv.ac.uk/lib/research/wire/
Use the search box above or the browse function on the left to discover publications from the research community at the University of Wolverhampton.
University students and staff can also search WIRE using LibrarySearch
For further information or help, contact the Scholarly Communications Team at firstname.lastname@example.org
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Dual energy computed tomography in gout: our experienceIntroduction: Gout is a common medical problem, affecting at least 1% of men in Western countries, with a male: female ratio ranging from 7:1 to 9:1. For many patients, traditional investigations can be inconclusive. Dual Energy Computed Tomography (DECT) is emerging as a valuable tool for non-invasive confirmation of urate deposits in painful joints. Aim: To establish the effectiveness of the DECT in the identification of gout in patients with complex presentations where the diagnosis is not clear. Method: DECT at 140 kV and 80kV was used to image patients where the clinical diagnosis was unclear Results: Seven case studies are presented where an unclear clinical presentation was successfully diagnosed with the use of DECT. Conclusion: In a specialist tertiary referral centre, treating many patients whose presentation is atypical, DECT has become a valuable tool in confirming the presence or absence of gouty arthritis, in difficult cases with a diagnostic dilemma
Status of BIM implementation in the Dominican Republic construction industry- an empirical studyPurpose: The increased use and proven benefits of Building Information Modelling (BIM) worldwide suggest that its implementation could greatly help diminish inefficient, traditional practices in the Dominican Republic (DR) construction industry. However, there is no empirical work about the implementation of BIM in the country. Therefore, this study aims to critically appraise and document the status of BIM implementation in the DR to raise awareness and understand how BIM can be successfully implemented in the country. Design/methodology/approach: A qualitative approach was adopted in which data was collected through semi-structured interviews, with the participation of 53 professionals from 36 construction organisations. The data collected was analysed with the method of content analysis. Findings: The results confirmed that the DR is a BIM infant country. There are low levels of BIM implementation. The reasons why BIM is not implemented are explored, and a significant interest in implementing BIM in the future is also reported. Drivers to implement BIM include BIM benefits, competitive advantage and pressure from external partners. Current BIM approaches are mainly single-disciplinary, principally in Architecture, and the effectiveness and scope of implementation are highly affected by intra-organisational and inter-organisational barriers. Originality/value: There is a lack of research about BIM in the DR. This study bridges this research gap by collecting primary data from Dominican construction organisations and construction professionals to report findings related to BIM implementation.
A systematic method for identifying references to academic research in grey literatureGrey literature is research that has not been written with the intent to publish in a traditional journal or book. From this, and due to its unstandardised nature, its impact in academia can be difficult to identify. Research impact can be assessed in multiple ways, with citation analysis a usual method. Impact can include the citing of an output, but in some situations, cited references may be useful in assessing ‘academic impact’. Cited references in grey literature, however, may reflect ‘non-academic impact’ of research such as in policy making, clinical practice or legislation. This study introduces and tests a semi-automatic method to measure cited references in grey literature with unknown standardisation of references. Metadata (lead author surname, title, year) of 2.45 million Russell Group university outputs were collected, added to known citation metadata from a 100-document sample of UK government grey literature, and then searched within each document, assessing the accuracy of 21 proposed variations of matching terms. A ‘best method’ is proposed (lead author surname and title in either order, maximum of 200 characters apart) to show cited references present, enabling the ability to analyse impact differences impact across subject areas and years within grey literature in future studies.