1,721,175 research outputs found

    Pancreatic tumours in children: diagnosis, treatment and outcome

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    Purpose: Pancreatic tumours in children are exceedingly rare and as a result constitute a diagnostic and therapeutic challenge to paediatric surgeons. We reviewed our experience with these rare entities.Methods: Retrospective single institution study on all paediatric pancreatic tumours over a period of 38 years (1973-2011) and literature review. We recorded data relating to the clinical features at presentation, diagnostic evaluation, treatment and outcome.Results: Fourteen patients were identified (8 male). The most common symptoms at presentation were abdominal pain, anorexia and vomiting. Two cases were discovered incidentally. There were 12 primary and 2 metastatic tumours. Tumour types were Solid Pseudopapillary neoplasm (n=6), Insulinoma (n=3), Pancreatoblastoma (n=1), congenital pancreatic cyst(n=1), Burkitt lymphoma of the pancreas (n=1) and metastatic lesions of other primary tumours(n=2). Twelve were treated with surgical resection including 2 laparoscopically. Post-surgical complications included acute pancreatitis (n=2) and pancreatic pseudocyst (n=2). There was one death from a metastatic tumour and treatment is ongoing in one patient. The remainder have survived. Conclusion: Paediatric pancreatic tumours are rare entities and are usually benign. Clinical symptoms are often non-specific and presentation may be late due to tumour inactivity in case of endocrine neoplasms. For most tumours, surgical resection is the optimal treatment which may be successfully performed laparoscopically when the lesion is in the body or tail of the pancreas. Long term outcome is generally good.<br/

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

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    “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

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    We 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

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    We 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

    Author Index

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    Determining patient intensity of care using routinely collected Electronic Patient Record (EPR) data and graph analytics

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    The intensity of care supplied to a patient during a hospital admission is a complex measure and difficult to interrogate using existing methods of analysis on Electronic Patient Record (EPR) data. The objective of this study was to determine the feasibility of applying graph analytics to EPR data to analyse the interconnections between data points and whether these measures could be used to reflect different levels of intensity of care. Temporal graphs representing the daily interactions between patients and healthcare professionals (HCPs) were created and shown by visual analysis to represent daily changes in intensity of care. Categorisation of the temporal graphs using k-means clustering with the graph’s metadata as features was carried out. This categorisation was then used to categorise post-operative care in patients who had undergone a renal transplant using each day of post-operative care as the feature and the temporal graph categorisation as the value. A reproducible analytical pipeline (RAP) was developed that generated and categorised temporal graphs. Several different EPR datasets were selected and a combination of HCP interactions, clinical note production and bed-side administrations were identified as a more complete representation of a patient’s intensity of care. To establish a wider application for the RAP, EPR data for a single ward over a period of a month was extracted and three sets of temporal graphs, individual patients, the complete ward, using 8-hour periods rather than 24-hours, and individual HCPs, were generated and categorised. This process proved to be a novel method of clearly demonstrating the variations in intensity of patient care in different situations. This thesis concludes that the application of temporal graph analysis on routinely collected EPR data can provide novel insights into patient care, patient outcomes, and hospital operations. Although not a standalone application these techniques adds nuance to traditional analysis both visually and objectively. By employing RAP concepts, these techniques will be able to be deployed throughout the NHS
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