105,335 research outputs found
National changes in outpatient systemic antibiotic use during the Coronavirus disease 2019 pandemic in Australia
No full textPublished: 17 March 2021
Data source: Supplementary data, https://doi.org/10.1093/cid/ciab241Abstract not available.Janet K. Sluggett, Yen H. Dinh, Steven L. Wesselingh, Maria C. Inacio, and Gillian E. Caughe
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe 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
No full textWe 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
The construction of Karen Karnak: The multi-author-function
No full textThis thesis is situated within the comparatively recent developments of Web 2.0 and the emergence of interactive WikiMedia, and explores the mode of authorship within a Read/Write culture compared to that of a Read/Only tradition. The hypothesis of this study is that the role of the audience has become merged with the author, and as such, represents new functions and attributes, distinct from a more conventional concept of authorship, in which the roles of audience and author are more separate. Read/Write and participatory culture, as defined by this study, is focused on collaboration, and includes the influences of D.I.Y. culture, Open-Source practices and the production of text by multiple authors. Multi-authorship presents a re-thinking of several concepts which support the notion of the individual author, since the focus of multi-authorship is not on attribution and ownership of a finished text, but on the continued malleability of a text. Modes of multi-authorship, demonstrated in the use of the pseudonyms Alan Smithee and Karen Eliot, represent declarative authors whose names signify multiple origins, whilst concurrently indicating a distinct body of work. The function of these names form an important context to this study, since primary research involves the construction of an experimental mode of multi-authorship utilising WikiMedia technology and the interaction of thirty nine participants, who are invited to create a body of work under the collective pseudonym Karen Karnak. The data generated by this experiment is analysed using aspects of Michel Foucault's author-function to identify and determine power structures inherent in the WikiMedia context. The interplay of power structures, including concepts such as identity, ownership and the body of work, affect the resulting mode of authorship and contribute to the construction of Karen Karnak, suggesting further areas of research into the emerging multi-author
Contribution of Information and Communication Technology (ICT) in Country’S H-Index
No full textThe aim of this study is to examine the effect of Information and Communication Technology (ICT) development on country’s scientific ranking as measured by H-index. Moreover, this study applies ICT development sub-indices including ICT Use, ICT Access and ICT skill to find the distinct effect of these sub-indices on country’s H-index. To this purpose, required data for the panel of 14 Middle East countries over the period 1995 to 2009 is collected. Findings of the current study show that ICT development increases the H-index of the sample countries. The results also indicate that ICT Use and ICT Skill sub-indices positively contribute to higher H-index but the effect of ICT access on country’s H-index is not clear
Fully Turbulent Mean Velocity Profile for Purely Viscous non-Newtonian Fluids
No full textThe characteristic near wall behavior of turbulent flow of purely-viscous non-Newtonian fluids is discussed for both power-law (P.-L.) and Herschel-Bulkley (H.-B.) rheological models. A proper scaling is presented for H.-B. fluids to establish an analogy with power-law fluids with same flow index. To provide reference data for turbulent flow of non-Newtonian fluids, DNS simulations of power-law fluids are conducted in a rectangular channel for a large range of power-law indices ( = 0.5, 0.69, 0.75, 0.9, 1, 1.2). The DNS data show that the mean velocity profile in the viscous and logarithmic layers follow expressions of the form and respectively, where shows a logarithmic dependency on the flow index.Comparison with some experimental data shows the above formulation to be valid for Reynolds numbers (based on shear velocity) as high as 1000
H-index and research evaluation: A suggested set of components for developing a comprehensive author-level index
No full textThe H-index has been investigated in various studies; this index has many strengths that have made it popular. However, it also has weaknesses, due to which other indicators have been developed. This study aims to identify the strengths and weaknesses of the H-index and provide the minimum set of necessary components for developing a comprehensive author-level index. In this systematic literature review, Scopus, PubMed, Web of Science, Emerald, and ProQuest databases were searched to identify relevant studies. From the number of 14,253 retrieved studies, after two stages of screening, 81 studies were selected according to the eligibility criteria for data extraction. The findings of the study led to the identification of 15 strengths in the three categories of Quality Features, Simplicity, and Suitability, and 13 weaknesses in the six categories of Publications, Citations, Academic Age, Author Credit Allocation, Variety of Fields, and mathematical calculation for H-index. Finally, 28 components were identified as the minimum set of necessary components to develop a comprehensive author-level index to help evaluate researchers more realistically and fairly. The minimum components that need to be considered in developing a comprehensive author-level index can be proposed as follows: Quality Features, Simplicity, Suitability, Publications, Citations, Academic Age, Author Credit Allocation, Variety of Fields, and mathematical calculation
Caracterização e modelagem multivariada do desempenho de sistemas de arquivos paralelos
No full textDissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Ciência da Computação, Florianópolis, 2015.A quantidade de dados digitais gerados diariamente vem aumentando de forma significativa. Por consequência, as aplicações precisam manipular volumes de dados cada vez maiores, dos mais variados formatos e origens, em alta velocidade, sendo essa problemática denominada como Big Data. Uma vez que os dispositivos de armazenamento não acompanharam a evolução de desempenho observada em processadores e memórias principais, esses acabam se tornando os gargalos dessas aplicações. Sistemas de arquivos paralelos são soluções de software que vêm sendo amplamente adotados para mitigar as limitações de entrada e saída (E/S) encontradas nas plataformas computacionais atuais. Contudo, a utilização eficiente dessas soluções de armazenamento depende da compreensão do seu comportamento diante de diferentes condições de uso. Essa é uma tarefa particularmente desafiadora, em função do caráter multivariado do problema, ou seja, do fato de o desempenho geral do sistema depender do relacionamento e da influência de um grande conjunto de variáveis. Nesta dissertação se propõe um modelo analítico multivariado para representar o comportamento do desempenho do armazenamento em sistemas de arquivos paralelos para diferentes configurações e cargas de trabalho. Um extenso conjunto de experimentos, executados em quatro ambientes computacionais reais, foi realizado com o intuito de identificar um número significativo de variáveis relevantes, caracterizar a influência dessas variáveis no desempenho geral do sistema e construir e avaliar o modelo proposto.Como resultado do esforço de caracterização, o efeito de três fatores, não explorados em trabalhos anteriores, é apresentado. Os resultados da avaliação realizada, comparando o comportamento e valores estimados pelo modelo com o comportamento e valores medidos nos ambientes reais para diferentes cenários de uso, demonstraram que o modelo proposto obteve sucesso na representação do desempenho do sistema. Apesar de alguns desvios terem sido encontrados nos valores estimados pelo modelo, considerando o número significativamente maior de cenários de uso avaliados nessa pesquisa em comparação com propostas anteriores encontradas na literatura, a acurácia das predições foi considerada aceitável.Abstract : The amount of digital data generated dialy has increased significantly.Consequently, applications need to handle increasing volumes of data, in a variety of formats and sources, with high velocity, namely Big Data problem. Since storage devices did not follow the performance evolution observed in processors and main memories, they become the bottleneck of these applications. Parallel file systems are software solutions that have been widely adopted to mitigate input and output (I/O) limitations found in current computing platforms. However, the efficient utilization of these storage solutions depends on the understanding of their behavior in different conditions of use. This is a particularly challenging task, because of the multivariate nature of the problem, namely the fact that the overall performance of the system depends on the relationship and the influence of a large set of variables. This dissertation proposes an analytical multivariate model to represent storage performance behavior in parallel file systems for different configurations and workloads. An extensive set of experiments, executed in four real computing environments, was conducted in order to identify a significant number of relevant variables, to determine the influence of these variables on overall system performance, and to build and evaluate the proposed model. As a result of the characterization effort, the effect of three factors, not explored in previous works, is presented. Results of the model evaluation, comparing the behavior and values estimated by the model with behavior and values measured in real environments for different usage scenarios, showed that the proposed model was successful in system performance representation. Although some deviations were found in the values estimated by the model, considering the significantly higher number of usage scenarios evaluated in this research work compared to previous proposals found in the literature, the accuracy of prediction was considered acceptable
Letter from Bob H. Suzuki, President, CSU Pomona, June 13, 1993
No full textA letter from President Bob H. Suzuki thanking guests of a garden reception and asking for their support to fund Michi Nishiura and Walter Weglyn Endowed Chair in Multicultural Studies.These materials are from box 73 and 74 of the Frank Chin Papers. The Frank Chin Papers contain personal and professional correspondence between Frank Chin and Michi Weglyn relating to particular projects on which either author was working as well as files related to the Day of Remembrance Tribute to Michi Weglyn
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