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    Correlation among periodontal health status, maternal age and pre-term low birth weight

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    Purpose: To assess correlations between periodontal status, maternal age and adverse pregnancy outcomes, such as pre-term and low birth weight in a sample of pregnant women. Methods: Study population was represented by outpatient pregnant women, gestational age > 26 weeks. Medical history questionnaires were administered to all participants who underwent clinical evaluation; clinical obstetric outcome records were collected after delivery. A questionnaire was administered regarding personal information, socio-economic status, oral hygiene habits, and oral health conditions. A clinical oral examination was performed to collect Simplified Oral Hygiene Index (OHI-S) and Community Periodontal Index (CPI). Pregnancy outcome records included: delivery week, kind and causes of delivery, any relevant complications, and birth weight. Descriptive statistics were used to depict the data from the questionnaire while the relationship between delivery week, birth weight, maternal age and periodontal status was evaluated through multivariate tests of significance. Results: 88 pregnant women were enrolled in the study. The results showed a statistically significant correlation (P<0.001) among participants older than 40 years of age, between periodontal disease and adverse pregnancy outcomes. No statistical correlation was found among pre-term and low birth weight, smoking, ethnicity and educational level of mothers. The results highlight the importance of including a routine oral and periodontal health examination in pregnant women older than 40 years of age

    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

    Penn classification in acute aortic dissection patients

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    Objective The objective of this study was to evaluate the effectiveness of the Penn classification in predicting in-hospital mortality after surgery in acute type A aortic dissection patients. Methods We evaluated 58 patients (42 men and 16 women; mean age 62.17 ± 10.6 years) who underwent emergency surgery for acute type A aortic dissection between September 2003 and June 2010 in our department. We investigated the correlation between the pre-operative malperfusion and in-hospital outcome after surgery. Results Twenty-eight patients (48%) were Penn class Aa (absence of branch vessel malperfusion or circulatory collapse), 11 (19%) were Penn class Ab (branch vessel malperfusion with ischaemia), 5 (9%) were Penn class Ac (circulatory collapse with or without cardiac involvement) and 14 (24%) were Penn class Abc (both branch vessel malperfusion and circulatory collapse). The number of patients with localized or generalized ischaemia or both, Penn class non-Aa, was 30 (52%). In-hospital mortality was 24%. In-hospital mortality was significantly higher in Penn class Abc and Penn class non-Aa. Intensive unit care stay, hospital ward stay and overall hospital stay was longer in Penn class non-Aa vs Penn class Aa. De Bakey type I dissection and type II diabetes mellitus were associated with in-hospital mortality. Conclusion Preoperative malperfusion is important for the evaluation of patients with acute aortic type A dissection. The Penn classification is a simple and quick method to apply and predict in-hospital mortality and outcomes. Keywords Type A dissection – Stanford classification – DeBakey classification – Penn classification

    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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