1,721,029 research outputs found
Learning from the learners' experience: e-Learning@greenwich post-conference reflections
Full text linkThis publication comprises papers from presenters who, having made a conference presentation, were invited to author an academic paper about their work
The social and genetic epidemiology of Hepatitis C in an isolated network of people who inject drugs
No full textBackground and AimsHepatitis C (HCV) causes liver cirrhosis, liver cancer and is a leading cause of death worldwide. In the UK the commonest risk factor for HCV is current or previous injecting drug use but many cases are undiagnosed and many known cases are disengaged from treatment services. The Isle of Wight (IOW) is a deprived, rural and geographically isolated population but suffers from the same obstacles to HCV care as larger nearby mainland populations.The overall aim of this thesis is to understand the burden of HCV in people who inject drugs (PWID) on the IOW and how their social network could be utilised in an HCV elimination strategy.MethodA sequential mixed method research design was used. Qualitative methods informed the design of a quantitative survey, which recruited PWID via respondent driven sampling (RDS) for a social network questionnaire and HCV bio-behavioural survey. This was used to estimate the population prevalence of HCV and the total population size of PWID on the IOW. Data from the social network survey were combined with a phylogenetic analysis of HCV RNA positive cases and qualitative narratives to give a representation of the HCV transmission network in PWID. This network was then used in an individualbased model (IBM) testing different treatment strategies.ResultsSixty-nine PWID participated in the HCV bio-behavioural and social network surveys. The estimated prevalence of HCV was 29% (95% CI 13.3-44%) and the estimated total population size was 262 individuals.The social network survey described 179 PWID, connected together into a cohesive network component via injecting partnerships. Phylogenetic analysis indicated that a number of these partnerships had led to the transmission of HCV and that genotype 3a virus had been transmitted between PWID living on the IOW. In the IBM the preferential treatment of well-connected PWID, via injecting and social relationships, led to significantly fewer new infections of HCV than treating at random (9.56 vs. 6.58 P<0.01 and 9.56 vs. 7.84 p=0.011 respectively).ConclusionThe burden of HCV in PWID on the IOW is lower than expected and existing case-finding initiatives are effective. The qualitative and quantitative results indicate that PWID are linked together in a dense network and the treatment of well-connected nodes within this network may be an effective treatment as prevention strategy for the elimination of HCV on the IOW
RE: early application of haemostatic powder added to standard management for oesophagogastric variceal bleeding: a randomised trial
No full textDesigning for learning: e-Learning@greenwich post-conference reflections and abstracts
Full text linkThe e-learning@greenwich/conference 2007, Designing for Learning, was the fifth conference in the series and has developed from its original focus on local institutional issues to a conference that focuses on global themes in e-learning attracting international participation. Our conferences are characterised by being practitioner focused and sector inclusive. Conference evaluations suggest that its intimate and friendly atmosphere, within the grounds of the world heritage site at Greenwich, allows practitioner-delegates to freely mix with delegates of international research repute and have an influence on practice, whether in the classroom or in educational software development.
We felt it was now time to produce a series of publications to share the important work being captured and disseminated at the conferences to a wider public in the form of post-conference reflective proceedings
Noninvasive serum biomarkers for liver fibrosis in NAFLD: current and future
Full text linkIn the last 20 years, noninvasive serum biomarkers to identify liver fibrosis in patients with non-alcoholic fatty liver disease (NAFLD) have been developed, validated against liver biopsy (the gold standard for determining the presence of liver fibrosis) and made available for clinicians to use to identify ≥F3 liver fibrosis. The aim of this review is firstly to focus on the current use of widely available biomarkers and their performance for identifying ≥F3. Secondly, we discuss whether noninvasive biomarkers have a role in identifying F2, a stageof fibrosis that is now known to be a risk factor for cirrhosis and overall mortality. We also consider whether machine learning algorithms offer a better alternative for identifying individuals with ≥F2 fibrosis. Thirdly, we summarise the utility of noninvasive serum biomarkers for predicting liver related outcomes (e.g. ascites and hepatocellular carcinoma) and non-liver related outcomes (e.g. cardiovascular-related mortality and extra hepatic cancers). Finally, we examine whether serial measurement of biomarkers can be used to monitor liver disease, and whether the use of noninvasive biomarkers in drug trials for non-alcoholic steatohepatitis (NASH) can accurately, (compared to liver histology), monitor liver fibrosis progression/regression. We conclude by offering our perspective on the future of serum biomarkers for the detection and monitoring of liver fibrosis in NAFLD
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
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