305,528 research outputs found
Jon M. Tolman, Ivana Versiani, Jack E. Tomlins, John S. Vincent, Wilson Martins, The Brazilian Novel
No full textda Silva Dantas Luiz Carlos. Jon M. Tolman, Ivana Versiani, Jack E. Tomlins, John S. Vincent, Wilson Martins, The Brazilian Novel . In: Cahiers du monde hispanique et luso-brésilien, n°31, 1978. Numéro consacré en partie au XVIIIe siècle. pp. 215-217
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
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
Author, publisher and bookseller : a tripartite synergy in Nigerian book industry
No full textThis work is about the roles of Author, Publisher and Bookseller in Book development in
Nigeria. The paper started by delving into the history of Book Publishing in Nigeria after
which it proceeded by defining who an author, a publisher, and a bookseller is and
expatiated on the indispensable roles of these key actors in Nigerian Book Industry and in
the emerging Information Society. Furthermore, the various constraints to book
development were identified while the paper advised on how the Book Industry can be
further promoted in Nigeria. However, the paper concluded and made recommendations
on how the Book sector can help in enhancing scholarship in the country
Quantitative optical coherence tomography of fluid-filled oral mucosal lesions
No full textThe decision of selecting the most representative site for the biopsy of fluid-filled lesions can be difficult. This may be attributed to the poor delineation of the correct lesional site by clinical observation alone. In this study, optical coherence tomography is used to quantify the contrast between solid- and fluid-filled lesions by measuring the light intensity change at the tissue–fluid interface (intensity drop). This parameter was measured from sequential axial scans (n???106 per sample) of 3D optical coherence tomography (OCT) datasets from control tissues (n?=?14) and fluid-filled lesions (n?=?7) and displayed as a 2D-scaled intensity drop (SID) image. The results of the SID image allowed for discrimination, characterisation and extent of a fluid filled region. The differentiation of normal and fluid-filled areas using individual SID values yielded both a sensitivity and specificity of approximately 80 %. OCT complemented by SID analysis provides a potential in vivo clinical tool that would enable non-invasive objective visualisation of the oral mucos
The law-dictionary : explaining the rise, progress, and present state of the English law, in theory and practice; defining and interpreting the terms or words of art; and comprising copious information, historical, political, and commercial, on the subjects of our law, trade, and government
No full textSigned: Thos F. Joens / ink on front flyleafOriginally compiled by Giles Jacob; and continued by him, and other editors, through ten editions: now greatly enlarged and improved, by many material corrections and additions, from the latest statutes, reports and other accurate publications; by T.E. Tomlins, of the Inner Temple, Barrister at Law
[Report to Chief J. E. Curry, by an unknown author #2]
No full textReport to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
[Report to Chief J. E. Curry, by an unknown author #1]
No full textReport to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
Mining e-mail content for author identification forensics
No full textWe describe an investigation into e-mail content mining for author identification, or authorship attribution, for the purpose of forensic investigation. We focus our discussion on the ability to discriminate between authors for the case of both aggregated e-mail topics as well as across different email topics. An extended set of e-mail document features including structural characteristics and linguistic patterns were derived and, together with a Support Vector Machine learning algorithm, were used for mining the e-mail content. Experiments using a number of e-mail documents generated by different authors on a set of topics gave promising results for both aggregated and multi-topic author categorisation
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