1,720,955 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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    A domain ontology for gait analysis and decision support on gait-related diseases

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    The complexity of diagnosing and treating gait-related diseases necessitates the existence of a domain ontology that can support intelligent decision-making by gait experts and medical personnel. This study describes the development of a domain ontology for gait analysis and decision support on gait-related diseases. The process for developing the ontology followed a custom ontology development process that is based on the hybridisation of the Ontology 101 (OD-101) development methodology and Methontology, ensuring a systematic and replicable construction of the ontology. The design of the Gait Analysis Domain Ontology (GADO) embraced thirteen dimensions, making it the most comprehensive domain ontology for gait analysis compared to previous efforts. The GADO was created using the Protégé ontology editor and was evaluated by using ontology verification and validation procedures. Ontology verification was conducted by using the Framework for Ontology Conformance Analysis (FOCA) to assess domain task fit through competency questions and content richness of the ontology. The results demonstrated GADO’s suitability in representing the domain effectively. Ontology validation involved checking the structural and logical consistency of the ontology by using reasoners such as HermiT and Pellet and employing Description Logic and SPARQL queries to assess the ontology’s ability to respond to domain-specific queries accurately. The validation process confirmed the GADO’s effectiveness in facilitating the retrieval of relevant information. Thus, the GADO is positioned to enhance clinical decision support for gait-related diseases, thereby advancing the applications of ontology-enabled decision support systems

    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

    On domain ontology for decision support in the treatment of gait-related diseases

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    In recent years, ontology has become the de facto standard for knowledge representation on the semantic web. The need to design and develop suitable ontologies that can support the operations and functionality of different types of intelligent systems is compelling. This paper presents the notion of decision support for healthcare practitioners in the treatment of gaitrelated diseases by using a domain ontology. The objective of the domain ontology is to create a knowledgebase artefact that can be leveraged for decision-making by healthcare workers during the prognosis, diagnosis and treatment of diseases that are associated with human gait impairment and gait abnormality. Gait impairment generally affects a patient’s mobility and ability to walk normally. The impact of gait-related diseases can vary from old age to more severe neurological and physical disorders, which needs to be thoroughly examined and investigated for accurate diagnosis and prognosis. This paper discusses how a domain ontology, that can facilitate decision support to diagnose and treat gait-related diseases, can be developed. At completion, the ontology would be able to support intelligent operations such as semantic processing of data, intelligent reasoning, information search and retrieval, and intelligent recommendations that provide valuable support to healthcare practitioners in decision making when dealing with gait-related diseases

    A domain ontology for Gait analysis and decision support on Gait-related diseases

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    The complexity of diagnosing and treating gait-related diseases necessitates the existence of a domain ontology that can support intelligent decision-making by gait experts and medical personnel. This study describes the development of a domain ontology for gait analysis and decision support on gait-related diseases. The process for developing the ontology followed a custom ontology development process that is based on the hybridisation of the Ontology 101 (OD-101) development methodology and Methontology, ensuring a systematic and replicable construction of the ontology. The design of the Gait Analysis Domain Ontology (GADO) embraced thirteen dimensions, making it the most comprehensive domain ontology for gait analysis compared to previous efforts. The GADO was created using the Protégé ontology editor and was evaluated by using ontology verification and validation procedures. Ontology verification was conducted by using the Framework for Ontology Conformance Analysis (FOCA) to assess domain task fit through competency questions and content richness of the ontology. The results demonstrated GADO’s suitability in representing the domain effectively. Ontology validation involved checking the structural and logical consistency of the ontology by using reasoners such as HermiT and Pellet and employing Description Logic and SPARQL queries to assess the ontology’s ability to respond to domain-specific queries accurately. The validation process confirmed the GADO’s effectiveness in facilitating the retrieval of relevant information. Thus, the GADO is positioned to enhance clinical decision support for gait-related diseases, thereby advancing the applications of ontology-enabled decision support systems.The National Research Foundation of South Africa.https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639InformaticsSDG-03:Good heatlh and well-beingSDG-09: Industry, innovation and infrastructur
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