1,720,974 research outputs found

    Differentiated birth care for low-risk women Medical and economic perspectives

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    The papers of this thesis are not available in Munin: 1. Stine Bernitz, Rune Rolland, Ellen Blix, Morten Jacobsen, Katrine Sjøborg and Pål Øian: 'Is the operative delivery rate dependent on the level of birth care? A randomised controlled trial', BJOG An International Journal of Obstetrics and Gynaecology (2011), vol. 118:1357-1364. Available at http://dx.doi.org/10.1111/j.1471-0528.2011.03043.x 2. Stine Bernitz, Eline Aas and Pål Øian: 'Economic evaluation of birth care in low-risk women. A comparison between a midwifeled birth unit and a standard obstetric unit within the same hospital in Norway. A randomised controlled trial', Midwifery (2012), Vol. 28 (5):591–599. Avilable at http://dx.doi.org/10.1016/j.midw.2012.06.001 3. Stine Bernitz, Pål Øian, Rune Rolland, Leiv Sandvik and Ellen Blix: 'Dystocia and augmentation with oxytocin as risk factors for adverse birth outcomes in lowrisk nulliparous women' (manuscript

    Examining the Applicability of Functional Principal Component Analysis by Conditional Expectation (PACE) in Cervical Dilation Data from the Labour Progression Study

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    Functional Data Analysis (FDA) is a method for extracting information from curves or functions based on time-related processes with discrete measures. This thesis explores the methodology for constructing and analysing curves studying labour progression, specifically in data containing the cervical dilation of 7277 primiparas. Identifying the trajectory functions of cervical dilation can support the development of tools used by health personnel to identify and monitor deviations from the normal range of cervical dilation and labour duration. Successful application of FDA can also enhance the understanding of potential explanatory variables that influence the rate and temporal pattern of cervical dilation and its variation among individuals. Data from digital vaginal exams that measure cervical dilation are complex due to sparse and irregular measurements for each participant and various forms of censoring, such as right censoring due to intrapartum cesarean section. The approach of Principal Analysis by Conditional Expectation (PACE) is explored to address these challenges. PACE is a Functional Principal Component Analysis (FPCA) algorithm that fits curves to sparse and irregular data. The trajectory functions for each participant are attempted to be recovered with corresponding estimates for the derivatives. However, PACE was unsuccessful in fitting curves to the cervical dilation data. Simulated data with known underlying distributions points to the limitations of PACE: When the data consist of multiple distributions and are sufficiently sparse, the method will produce an inaccurate estimation of mean and covariance functions. This means that PACE does not distinguish between different distributed groups; instead, it prioritises and directs the curve trajectories towards the weighted cross-sectional mean. The implications of PACE being inappropriate for fitting cervical dilation curves include failure to capture data variability and dynamics and the inability to perform functional regression and correlation analysis. The thesis concludes that FDA, in this case, is premature and calls for further development of methods that can handle the level of sparseness, irregularity, and censoring as seen in data from digital vaginal exams

    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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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We 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
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