1,721,033 research outputs found
Catch me if you learn: Development-specific Education and Economic Growth
No full textThis paper presents a theoretical and empirical investigation of the relationship between human capital composition and economic growth. From the theoretical point of view, we generalize Vandenbussche et al. (2006) by allowing for non-constant returns to scale in imitation and innovation activities and we find that - unlike the previous work and for a wide range of parameters’ values - the impact of skilled workers on growth increases at lower stages of development. As for empirical evidence, we estimate Vandenbussche et al. (2006) the size using a 85 countries 1960-2000 panel with developed and developing countries using System GMM technique to address the problem of endogeneity. The analysis supports the model predictions in providing robust evidence of an increasing impact of tertiary education as the economy moves farther away from the frontier. Results are robust to different proxies of human capital and different specifications
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
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
The Data-Driven Revolution of Health CareeHealth, Care and Quality of Life
No full textThe Web has caused an exponential increase of available data. This has lead to a new world of applications that take on the challenge of analyzing and exploiting all this data. Data science is a new term to describe the applied blend of mathematics, statistics, computation, and hacking necessary to build data-driven solutions. More and more often, this involves working on Big Data. Breakthroughs are being made in fields in which large amounts of data are handled, leading to increased efficiency and quality of results and, above all, to an array of previously unconceived applications. In this chapter, we will give some insights into the ways in which health care is being transformed by data analysis. First, we will talk about improving data acquisition, crucial to unlocking the potential of new applications. Then, we will move on to clinical decision support systems applied to adverse drug reactions. Last but not least, we will discuss how to leverage Big Data to improve health care. The bigger picture is of data analysis fundamentally changing how we approach many healthcare problems. A data-driven future of health care is ahead
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