1,721,016 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
Vibration-based damage identification methods for civil engineering structures using artificial neural networks
Full text linkUniversity of Technology, Sydney. Faculty of Engineering.This thesis investigates the viability of using dynamic-based ‘damage fingerprints’ in
combination with artificial neural network (ANN) techniques and principal component
analysis (PCA) to identify defects in civil engineering structures. Vibration-based
damage detection techniques are global methods and are based on the principle that
damage alters both the physical properties, such as mass, stiffness and damping, as well
as the dynamic properties of a structure. It is therefore feasible to utilise measured
dynamic quantities, such as time histories, frequency response functions (FRFs) and
modal parameters, from structural vibration to detect damage. Damage identification
based on vibrational characteristics is essentially a form of pattern recognition problem,
which looks for the discrimination between two or more signal categories, e.g., before
and after a structure is damaged, or differences in damage levels or locations. Artificial
neural networks are capable of pattern recognition, classification, signal processing and
system identification, and are therefore an ideal tool in complementing dynamic-based
damage detection techniques. Likewise, PCA has pattern recognition abilities and is
capable of data reduction and noise filtering. With these characteristics, both techniques
can help overcome limitations associated with previously developed vibration-based
methods and assist in delivering more accurate and robust damage identification results.
In this study, two types of dynamic-based damage identification methods are proposed.
The first is based on the damage index (DI) method (initially proposed by Stubbs et al.),
while the second approach uses changes in FRF data as damage fingerprints. The
advantage of using damage patterns from the DI method, which is based on changes in
modal strain energies, is that only measured mode shapes are required in the damage
identification, without having to know the complete stiffness and mass matrices of the
structure. The use of directly measured FRF data, which provide an abundance of
information, is further beneficial as the execution of experimental modal analysis is not
required, thus greatly reducing human induced errors. Both proposed methods utilise
PCA and neural network techniques for damage feature extraction, data reduction and
noise filtering. A hierarchical network training scheme based on network ensembles is
proposed to take advantage of individual characteristics of damage patterns obtained
from different sources (different vibrational modes for the DI-based method and
different sensor locations for the FRF-based method). In the ensemble, a number of
individual networks are trained in parallel, which optimises the network training and
delivers improved damage identification outcomes. Both methods are first tested on a
simple beam structure to assess their feasibility and performance. Then, the FRF-based
method is applied to a more complicated structure, a two-storey framed structure, for
validation purposes. The two methods are verified by numerical simulations and
laboratory testing for both structures. As defects, notch type damage of different
severities and locations are investigated for the beam structure. For the two-storey
framed structure, three different types of structural change are studied, i.e. boundary
damage, added mass changes and section reduction damage. To simulate field-testing
conditions, the issue of limited sensor availability is incorporated into the analysis. For
the DI-based method, sensor network limitations are compensated for by refining coarse
mode shape vectors using cubic spline interpolation techniques. To simulate noise
disturbances experienced during experimental testing, for the numerical simulations,
measurement data are polluted with different levels of white Gaussian noise.
The damage identifications of both methods are found to be accurate and reliable for all
types of damage. For the DI-based method, the results show that the proposed method is
capable of overcoming limitations of the original DI method associated with node point
singularities and sensitivities to limited number of sensors. For the FRF-based method,
excellent results are obtained for damage identification of the beam structure as well as
of the two-storey framed structure. A major contribution is the training of the neural
networks in a network ensemble scheme, which operates as a filtering mechanism
against individual networks with poor performance. The ensemble network, which fuses
results of individual networks, gives results that are in general better than the outcomes
of any of the individual networks. Further, the noise filtering capabilities of PCA and
neural networks demonstrate great performance in the proposed methods, especially for
the FRF-based identification scheme
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Author Under Sail The Imagination of Jack London, 1893-1902
No full textIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Intro -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- 1. Spirit Truth -- 2. From Absorption to Theatricality and Back Again -- 3. "I Will Build a New Present" -- 4. Sons as Authors -- 5. Fathers as Publishers -- 6. The Daughter as Author -- 7. Lovers as Authors -- 8. At Sea with the Family -- 9. Yellow News, Yellow Stories -- 10. The Return Home -- Notes -- Bibliography -- Index -- About Jay WilliamsIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
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