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    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

    Depression Prevalence in Spinal Cord Injury: A Meta-Analysis

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    This item is only available electronically.Introduction: Estimated rates of depressive disorder following a spinal cord injury (SCI) vary drastically due to measurement differences between studies and variation among individuals' personal characteristics and injuries. Objectives: To consolidate research on the point prevalence of depressive disorder among adults (≥ 16 years old) who have sustained a SCI, and to identify study and sample-level factors associated with these estimates. Methods: A review of the CINAHL, Embase, PsycINFO, and PubMed databases was conducted to identify studies that used established diagnostic criteria to determine the prevalence of depressive disorder following SCI. Risk of bias was assessed using the JBI Prevalence Critical Appraisal Tool and proportion estimates meta-analysed using a random-effects model. Moderator analyses investigated the impact of methodological characteristics and sample-related attributes on depression prevalence. Results: Pooled data with a sample of 57,300 adults with SCI from 16 independent studies indicated the prevalence of depressive disorder was 14%, although the prediction interval spanned from 1% to 73%. Prevalence estimates were similar regardless of the diagnostic criteria used (p = 101), study design (p = 549), gender (p = 583), injury type (p = 285), mean sample age (R? = .38, p = 132) or recruitment year (R? = .00, p = 265). Discussion: One in seven adults with SCI is diagnosed with a depressive disorder. This elevated prevalence cannot be solely explained by methodological or sample differences. Future research should prioritize the development of an appropriate screening tool for depression in SCI, with the aim of facilitating routine assessment for early identification and reduction of the negative consequences associated with depression, as well as provide detailed report of both study and sample attributes to increase reporting transparency and offer a thorough understanding of depression prevalence and its associated risk factors within the SCI population. Keywords: Spinal Cord Injury, Depression, PrevalenceThesis (B.PsychSc(Hons)) -- University of Adelaide, School of Psychology, 202

    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

    Identification of peroxisome proliferator-activated receptor alpha (PPARα)-dependent genes involved in peroxisome proliferator-induced short-term pleiotropic responses using fluorescent differential display technique.

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    Lee Wing Sum.Thesis (M.Phil.)--Chinese University of Hong Kong, 2000.Includes bibliographical references (leaves 206-226).Abstracts in English and Chinese.Abstract --- p.iAbstract (Chinese Version) --- p.ivAcknowledgements --- p.viiTable of Contents --- p.viiiList of Abbreviations --- p.xivList of Figures --- p.xviiList of Tables --- p.xxivChapter Chapter 1 --- Introduction --- p.1Chapter Chapter 2 --- Literature review --- p.3Chapter 2.1 --- Peroxisomes --- p.3Chapter 2.2 --- Peroxisome proliferators --- p.5Chapter 2.3 --- Human exposure pathways to peroxisome proliferators --- p.5Chapter 2.4 --- Peroxisome proliferator-induced pleiotropic effects in rodents --- p.7Chapter 2.4.1 --- Short-term effects --- p.7Chapter 2.4.1.1 --- Hepatomegaly --- p.7Chapter 2.4.2.1 --- Peroxisome proliferation --- p.8Chapter 2.4.1.3 --- Alteration of gene transcriptions --- p.8Chapter 2.4.2 --- Long-term effect --- p.9Chapter 2.5 --- Mechanisms of actions of peroxisome proliferators --- p.9Chapter 2.5.1 --- Substrate overload --- p.9Chapter 2.5.2 --- Receptor-mediated --- p.11Chapter 2.6 --- Peroxisome proliferator-activated receptors (PPARs) --- p.11Chapter 2.6.1 --- Structure of PPARs --- p.11Chapter 2.6.2 --- Tissue-specific expression of PPARs --- p.15Chapter 2.6.3 --- Physiological functions of PPARs --- p.19Chapter 2.6.3.1 --- PPARα --- p.19Chapter 2.6.3.2 --- PPARγ --- p.21Chapter 2.6.3.3 --- PPARδ --- p.23Chapter 2.7 --- Role of PPARα involved in peroxisome proliferator-induced pleiotropic responses --- p.24Chapter 2.7.1 --- Short-term effects --- p.24Chapter 2.7.2 --- Long-term effect --- p.24Chapter 2.8 --- Mechanisms of peroxisome proliferator-induced hepatocarcinogenesis --- p.25Chapter 2.8.1 --- Oxidative stress --- p.25Chapter 2.8.2 --- Suppression of apoptosis --- p.26Chapter 2.8.3 --- Increased cell proliferation --- p.27Chapter 2.9 --- Species difference to peroxisome proliferator-induced pleiotropic effects --- p.28Chapter 2.10 --- Fluorescent differential display (FDD) --- p.32Chapter Chapter 3 --- Objectives --- p.35Chapter Chapter 4 --- Materials and methods --- p.37Chapter 4.1 --- Animals and treatments --- p.37Chapter 4.1.1 --- Materials --- p.37Chapter 4.1.2 --- Methods --- p.37Chapter 4.2 --- Serum triglyceride and cholesterol analyses --- p.39Chapter 4.2.1 --- Materials --- p.41Chapter 4.2.2 --- Methods --- p.41Chapter 4.2.2.1 --- Serum preparation --- p.41Chapter 4.2.2.2 --- Triglyceride determination --- p.41Chapter 4.2.2.3 --- Cholesterol determination --- p.42Chapter 4.3 --- Statistical analysis --- p.42Chapter 4.4 --- Tail-genotyping --- p.42Chapter 4.4.1 --- Materials --- p.44Chapter 4.4.2 --- Methods. --- p.44Chapter 4.4.2.1 --- Preparation of genomic tail DNA --- p.44Chapter 4.4.2.2 --- PCR reaction --- p.45Chapter 4.5 --- Total RNA isolation --- p.45Chapter 4.5.1 --- Materials --- p.48Chapter 4.5.2 --- Methods --- p.48Chapter 4.6 --- DNase I treatment --- p.48Chapter 4.6.1 --- Materials --- p.49Chapter 4.6.2 --- Methods --- p.49Chapter 4.7 --- Reverse transcription of mRNA and fluorescent PCR amplification --- p.50Chapter 4.7.1 --- Materials --- p.50Chapter 4.7.2 --- Methods --- p.53Chapter 4.8 --- Fluorescent differential display (FDD) --- p.53Chapter 4.8.1 --- Materials --- p.53Chapter 4.8.2 --- Methods --- p.54Chapter 4.9 --- Excision of differentially expressed cDNA fragments --- p.54Chapter 4.9.1 --- Materials --- p.57Chapter 4.9.2 --- Methods --- p.57Chapter 4.10 --- Reamplification of differentially expressed fragments --- p.57Chapter 4.10.1 --- Materials --- p.60Chapter 4.10.2 --- Methods --- p.60Chapter 4.11 --- Subcloning of reamplified cDNA fragments --- p.62Chapter 4.11.1 --- PCR-TRAP® cloning system --- p.62Chapter 4.11.1.1 --- Materials --- p.63Chapter 4.11.1.2 --- Methods --- p.63Chapter 4.11.2 --- AdvaTage´ёØ PCR cloning system --- p.65Chapter 4.11.2.1 --- Materials --- p.65Chapter 4.11.2.2 --- Methods --- p.66Chapter 4.12 --- Purification of plasmid DNA from recombinant clones --- p.69Chapter 4.12.1 --- Materials --- p.69Chapter 4.12.2 --- Methods --- p.69Chapter 4.13 --- DNA sequencing of differentially expressed cDNA fragments --- p.70Chapter 4.13.1 --- CEQ 2000 Dye Terminator Cycle Sequence system --- p.71Chapter 4.13.1.1 --- Materials --- p.71Chapter 4.13.1.2 --- Methods --- p.71Chapter 4.13.2 --- ABI PRISM´ёØ dRhodamine Terminator Cycle Sequencing system --- p.72Chapter 4.13.2.1 --- Materials --- p.72Chapter 4.13.2.2 --- Methods --- p.72Chapter 4.13.3 --- Homology search against computer databases --- p.73Chapter 4.14 --- Northern analysis of differentially expressed cDNA fragments --- p.73Chapter 4.14.1 --- Formaldehyde gel electrophoresis of total RNA --- p.74Chapter 4.14.1.1 --- Materials --- p.74Chapter 4.14.1.2 --- Methods --- p.74Chapter 4.14.2 --- Preparation of cDNA probes for hybridization --- p.74Chapter 4.14.2.1 --- PCR DIG labeling --- p.75Chapter 4.14.2.1.1 --- Materials --- p.75Chapter 4.14.2.1.2 --- Methods --- p.75Chapter 4.14.2.2 --- Random Prime cDNA DIG labeling --- p.75Chapter 4.14.2.2.1 --- Materials --- p.75Chapter 4.14.2.2.2 --- Methods --- p.76Chapter 4.14.3 --- Purification of DNA from agarose gel --- p.77Chapter 4.14.3.1 --- Materials --- p.77Chapter 4.14.3.2 --- Methods --- p.78Chapter 4.14.4 --- Hybridization --- p.78Chapter 4.14.4.1 --- Materials --- p.78Chapter 4.14.4.2 --- Methods --- p.73Chapter 4.14.5 --- Synthesis of mouse GAPDH probe from normalization --- p.80Chapter 4.14.5.1 --- Materials --- p.80Chapter 4.14.5.2 --- Methods --- p.80Chapter Chapter 5 --- Results --- p.82Chapter 5.1 --- Liver morphology --- p.82Chapter 5.2 --- Liver weight --- p.82Chapter 5.3 --- Serum triglyceride and cholesterol levels --- p.88Chapter 5.4 --- Confirmation of genotypes --- p.91Chapter 5.5 --- DNase I treatment --- p.91Chapter 5.6 --- FDD RT-PCR and band excision --- p.98Chapter 5.7 --- Reamplification of excised cDNA fragments --- p.111Chapter 5.8 --- Subcloning of reamplified cDNA fragments --- p.121Chapter 5.9 --- DNA sequencing of subcloned cDNA fragments --- p.124Chapter 5.10 --- Confirmation of the differentially expressed cDNA fragments by Northern blot analysis --- p.132Chapter 5.11 --- Temporal expression pattern of differentially expressed genes --- p.157Chapter 5.12 --- Tissue distribution pattern of differentially expressed genes --- p.171Chapter Chapter 6 --- Discussions --- p.183Chapter 6.1 --- "Lack of hepatomegaly, hypotriglyceridemia and hepatic nodule formation in PPARα (-/-) mice" --- p.184Chapter 6.2 --- "Identification of PPARα-dependent and Wy-14,643 responsive genes" --- p.185Chapter 6.3 --- Functional roles of the isolated cDNA fragments --- p.186Chapter 6.3.1 --- Fragments B14 and H4 --- p.187Chapter 6.3.2 --- Fragment H1 --- p.189Chapter 6.3.3 --- Fragment H5 --- p.192Chapter 6.3.4 --- Fragment H8 --- p.194Chapter 6.4 --- Temporal expression patterns of the isolated cDNA fragments --- p.196Chapter 6.5 --- Tissue distribution patterns of the isolated cDNA fragments --- p.197Chapter Chapter 7 --- Conclusions --- p.200Chapter Chapter 8 --- Future studies --- p.204Chapter 8.1 --- Subcloning and characterization of the other differentially expressed genes --- p.204Chapter 8.2 --- Overexpression and inhibition expression of specific genes --- p.204Chapter 8.3 --- Generating transgenic mice with target disruption of specific gene --- p.205References --- p.20
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