1,721,306 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
To study the fracture behaviour of pewter alloys / Karis Miswan and Sallahuddin Mohammad
Get PDFTwo pewter alloys of different compositions, which are similar to common pewter alloys in use for decorative items have been prepared for the study of their tensile and plane strain fracture toughness properties as well as micro structure examination. The melting was carried out in an electrical furnance using graphite crucible and were gravity die-cast in preheated steel mould . Two different casting procedure were carried out for different compositions. One alloy was normally cast (air-cooled) and the other alloy was chilled-cast (water spray). This produced differences in the types of phases present under microscopic examination and their mechanical properties. The results and finding of this study are not only useful for academic literature on pewter alloys but also for the casting of decorative items from pewter alloys
A predictive analytics framework using grey-lasso model for hospital readmission / Nor Hamizah Miswan
No full textHospital readmission is defined as an admission to a hospital within a certain time
frame, typically thirty days, following a previous discharge, either to the same or to a
different hospital. Hospital readmission prediction is a challenging task due to the complex
relationship between readmission and potential risk factors. At present, previous studies
reported modest discrimination ability possibly due to many inherent limitations and
complex problem by nature. The selected features to be the input variables for modelling
are mainly based on previous models or very shallow exploratory analysis. Moreover, the
clinical trials tend to follow established framework when it comes to predictive modelling.
Univariate feature selection proceeded by Logistic regression are the well utilized modelling
method. On the other hand, most study on readmission prediction has been focus on
maximizing the discrimination performance while disregarding the interpretability aspect
i.e. actionable insights and reasons that lead to potential readmission. To address the
aforementioned limitation, this work tackles the hitherto unexplored problem: hospital
readmission framework that have robust preprocessing framework, with reliable and
interpretable prediction model. Three approaches were proposed in this work. Firstly, the
overall improvement of preprocessing is proposed to enhance the prediction performance.
With regards to feature selection in preprocessing phase, Grey-LASSO is proposed with
consideration of uncertainty in feature selection by employing Grey relational analysis and
LASSO. The features obtained using Grey-LASSO produce minimal features subset to be
the input variable in modelling phase. Secondly, machine learning classifiers are used to
predict the risk of hospital readmission that have the maximal discrimination performances. Thirdly, interpretable insight based on rule mining is established at the predicted model
output to provide certain level of interpretability to be applicable in real clinical setting.
The final framework of prediction model, named interpretable rule learning, which harness
the elements of interpretability and achieves outstanding performance of faithfulness
and human evaluation in terms of, trustworthiness, confidence and understanding. To
this end, this work focuses on enhancing the prediction performance as well as provide
interpretability insight on the predicted output of modelling
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe 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
No full textWe 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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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