1,720,956 research outputs found

    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

    Pushing the limits: Increasing the speed and specificity of SARS-CoV-2 testing

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    The prevalence and spread of the current COVID-19 pandemic have highlighted the importance of continual improvements upon current microbiological testing methods. Rapid and accurate testing can help mitigate spread by improving on the time to quarantine and quarantine duration required. As of the writing of this thesis, COVID-19 has been responsible for more than 500,000 deaths in the United States of America, and greater than 2 million deaths globally. The work done in this thesis has shown improvements in the current SARS-CoV-2 testing methodology by reducing the time it takes for patient testing while maintaining accuracy and the sensitivity required of a clinical assay. The protocol developed uses extraction-free RT-PCR testing as well as a rapid RT-PCR methodology. The assay can improve speed and maintain its specificity using probe-based detection for the SARS-CoV-2 N gene. This research provides a template for increasing the speed of testing for SAR-CoV-2 that can be applied to other infectious diseases and thereby help reduce the spread of future epidemics and pandemics

    Integrative Multi-Omics Dissection of Pathogenic Mechanisms in Chronic Liver Diseases

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    Primary sclerosing cholangitis (PSC) is a chronic cholestatic liver disease characterized by multifocal bile duct inflammation, fibrosis, and progression to cirrhosis and liver failure. Currently, there are no effective pharmacological therapies. Although ursodeoxycholic acid has been used to improve bile flow, it does not alter disease course or prevent the need for liver transplantation, which carries a recurrence rate of up to 30%. A deeper understanding of the cellular and molecular mechanisms underlying PSC is essential for developing targeted therapies. This dissertation investigates two key factors in PSC pathogenesis: sex-dependent immune differences and the spatially dynamic and cell specific roles of the long non-coding RNA H19, which has been shown to exacerbate PSC progression. Using the Mdr2 knock out (Mdr2KO) mouse model, a retrospective human cohort analysis (TriNetX), spectral flow cytometry, immunohistochemistry, and qRT-PCR, we identified several sex-specific immune alterations that may contribute to the disparity in PSC incidence and progression between males and females. In parallel, we explored H19-mediated transcriptional changes using single-nucleus RNA sequencing (snRNAseq) and spatial transcriptomics (GeoMx Whole Transcriptome Atlas). We found that H19 deletion induces distinct cell-type- and region-specific transcriptional changes in hepatocytes, cholangiocytes, and macrophages. To further understand disease mechanisms, we trained several cell-type specific machine learning models that accurately predict healthy vs. disease-associated cell states (all AUCs \u3e 0.87 when tested against a public human dataset) and classified H19-associated transcriptional changes across several cell types. To expand spatial insights, we developed a novel computational package for predicting protein-level ligand-receptor interactions between cell types in segmented spatial transcriptomic datasets, including GeoMx. Finally, we conducted an independent analysis of serum bile acid pool alterations across the spectrum of alcohol-associated liver disease (ALD) using targeted LC-MS/MS. Together, these studies provide new insights into the immune, transcriptional, and spatial regulators of liver disease progression, with a focus on PSC, offer new computational tools for future spatial liver research, and identify the significance of bile acid metabolism in ALD
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