1,721,165 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
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
Design of acrylated epoxidized soybean oil biobased photo-curable formulations for 3D printing
In recent decades, the significance of developing polymeric materials derived from renewable bio-based sources
has grown due to the pressing environmental concerns facing our planet. Moreover, the diminishing availability
of oil, the primary carbon resource for polymer production, led to the research of alternative sources with low
environmental impact. From this perspective, vegetable oils (VO) have emerged as an interesting option due to
their abundant presence and cost-effectiveness, along with the presence of numerous reactive groups. Among
these, soybean oil stands out as one of the most widely used options, thanks to its potential for functionalization
through epoxidation and subsequent acrylation, resulting in acrylate epoxidized soybean oil (AESO). In this study
AESO was employed as a primary raw material for Digital Light Processing (DLP) because of its photocurable
nature. Because of its high viscosity, four monofunctional reactive diluents, namely lauryl acrylate (LA), lauryl
methacrylate (LMA), isobornyl acrylate (IBOA) and isorbornyl methacrylate (IBOMA), were incorporated in
different weight percentages. Reactivity and rheological properties of these formulations were investigated.
Subsequently, formulations with viscosities suitable for the DLP process were employed to 3D print objects.
These printed samples were then subjected to mechanical and thermo-mechanical analyses. Moreover, more
complex shaped objects were printed to evaluate the precision of the printing process using these formulation
Variations on the Author
“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
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
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
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
Proposta de um data warehouse para apoio à tomada de decisão sobre evasão institucional em uma instituição federal de ensino superior
Introduction: Decision making support in the context of dropout in higher education institutions requires systemic monitoring of dropout rates and the description of dropout students by personal and academic variables. The initial premise is the development of an institutional repository that stores historical and non-volatile data, the data warehouse, is the tool that enables the Federal University of Itajubá (Unifei) to respond to this demand. Objective: The main objective is the development and implementation of a DW for decision-making support on dropouts at Unifei. The secondary objectives are to discover methods for the development of data warehouses, to discover methods and metrics used to calculate dropout rates and to know the descriptive characteristics of students related to dropout. Methods: The object of study is Unifei and the management information system in use at the institution, the Sistema Integrado de Gestão de Atividades Acadêmicas (SIGAA). To guide the intervention, a methodology was proposed using soft systems methodology and the Ralph Kimball’s method of developing data warehouses. Bibliographic research was conducted in education journals to collect data related to dropouts. Documentary research was conduct on SIGAA’s database to assess the data available. Results: The bibliographic research revealed three groups of methods for calculating dropout rates: methods that consider complete generations of students, methods that consider only newcomers within a specific period and methods that propose the monitoring of historical series. The positive and negative points were contrasted between the groups and a proposed calculation method was derived from the literature. Also, from the bibliographic source, 65 descriptive variables about the students were identified, being 33 personal variables (50.5%) and 32 variables related to the students' academic life (49.2%). Documentary research was conducted in the SIGAA database and the subsequent data triangulation showed that SIGAA stores the data necessary to calculate dropout rates from courses since 1998. Furthermore, SIGAA stores 23 (35.4%) descriptive variables identified in the literature. The information requirements derived from the data sources triangulation were used to guide the development of the data warehouse. Architectural models of the data, both dimensional and physical, were realized. The necessary steps to extract data from its sources, treatments performed and loading into the data warehouse environment were described. Conclusion: The evidence brought by the results supports the statement that the development and implementation of an institutional DW is a tool that allows higher education institutions to monitor the phenomenon of dropout in a systematic, periodic, and constant manner.Agência 1Introdução: O apoio à tomada de decisão no contexto da evasão em instituições de ensino superior demanda acompanhamento sistêmico das taxas de evasão e a descrição dos alunos evadidos em variáveis pessoais e acadêmicas. A premissa é que o desenvolvimento de um repositório institucional que armazene dados histórico e não-voláteis, o data warehouse, seja a ferramenta que habilite a Universidade Federal de Itajubá (Unifei) a responder à essa demanda. Objetivo: O objetivo principal é o desenvolvimento e implementação de um DW para uso no apoio à tomada de decisão sobre a evasão na Unifei. Os objetivos secundários são conhecer métodos para o desenvolvimento de data warehouses, conhecer métodos e métricas utilizadas para o cálculo das taxas de evasão e conhecer as características descritivas dos discentes relacionadas à evasão. Métodos: O objeto de estudo é a Unifei e o sistema de informação gerencial em uso na instituição, o Sistema Integrado de Gestão de Atividades Acadêmicas (SIGAA). Para guiar a intervenção na realidade foi proposta uma metodologia utilizando a soft systems methodology e o método de desenvolvimento de data warehouses de Ralph Kimball. Para a obtenção de dados utilizou-se pesquisas bibliográfica, em periódicos da área de educação para o levantamento de dados sobre a evasão, e documental, que investigou o banco de dados do SIGAA. Resultados: A pesquisa bibliográfica revelou três grupos de métodos para cálculo das taxas de evasão: métodos que consideram gerações completas de alunos, tanto no prazo ideal ou prazo máximo de integralização, métodos que consideram apenas ingressantes dentro de um período específico e métodos que propõem o acompanhamento de séries históricas. Os pontos positivos e negativos foram contrapostos entre os grupos e uma proposta de método de cálculo foi derivada da literatura. Também da fonte bibliográfica foram identificadas 65 variáveis descritivas sobre os discentes, sendo 33 variáveis pessoais (50,5%) e 32 variáveis ligadas à vida acadêmica dos alunos (49,2%). Pesquisa documental foi conduzida no banco de dados do SIGAA e a posterior triangulação com o resultado das pesquisas bibliográficas mostraram que o SIGAA armazena os dados necessários para se calcular taxas de evasão dos cursos desde 1998. Ademais o SIGAA armazena 23 (35,4%) das variáveis descritivas identificadas na literatura. Os requisitos de informação derivados da triangulação das fontes de informação foram utilizados para nortear o desenvolvimento do data warehouse. Modelos arquiteturais dos dados, tanto os dimensionais como os físicos, foram realizados. Descreveu-se as etapas necessárias para realizar a extração dos dados de suas fontes, os tratamentos realizados e o carregamento para o ambiente do data warehouse. Conclusão: As evidências trazidas pelos resultados apoiam a afirmativa de que o desenvolvimento e implementação de um DW institucional é ferramenta que permite a instituições de ensino superior a acompanharem o fenômeno da evasão de forma sistêmica, periódica e constante
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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