1,721,235 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
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
Haptic guidance for enhancing human motor learning: Application to a robot-assisted powered wheelchair trainer
Achieving independent mobility is important for people with disabilities, but learning to drive a powered wheelchair can be difficult, time-consuming, and expensive. The primary motivation for this dissertation was to develop a robotic wheelchair trainer on which people with a disability can safely develop driving skills at their own pace with minimum assistance. The concept was to use a robotic joystick to guide movements to help people safely learn how to steer.
To provide a rational framework, we studied the conditions under which robotic guidance was effective for helping learn to steer, using a virtual reality simulator. Of concern was the long-standing “guidance” hypothesis which states that providing too much guidance impairs motor learning. We incorporated a novel guidance-as-needed strategy, which adjusts levels of guidance based on real-time errors. Training with guidance-as-needed improved the drivers’ steering ability more than training without guidance, apparently because it helped learn when to begin turns. Furthermore,
guidance’s benefits were skill-dependent.
Guidance appeared to help participants learn timing. We therefore developed a robotic device to study whether robotic guidance improved learning of a pure timing task (a pinball-like task). Guidance was not effective, probably because participants relied on the form of guidance used, which totally eliminated performance errors. When we modified the strategy so that guidance was proportional to timing errors, guidance was beneficial for participants with a lower skill level.
To incorporate these findings into the robotic wheelchair trainer, we equipped a powered pediatric wheelchair with a webcam to achieve a self steering function along a course, and a force-feedback joystick to implement an algorithm that demonstrates exemplary control to follow the course, while systematically modulating its strength. Consistent with the findings from the driving simulator, training with guidance from the smart wheelchair improved healthy children’s (age 3-10) steering ability more than training without guidance. In fact, training without guidance did not improve children’s steering ability.
These results appear to be the first direct evidence that haptic guidance can enhance motor learning. Haptic guidance enhances learning of timing tasks, such as driving and pinball, in less-skilled people, and is more beneficial when applied only as needed
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
Neurorehabilitation Technology
This revised, updated, and substantially expanded third edition provides an accessible, practical overview of major areas of research, technical development and clinical application in the field of neurorehabilitation movement therapy. The initial section provides the basic framework and a rationale for technology application in movement therapy by summarizing recent findings in neuroplasticity and motor learning. The following section provides a detailed overview of the movement physiology of various neurologic conditions, illustrating how this knowledge has been used to design various neurorehabilitation technologies. The third section then explains the principles of human-machine interaction for movement rehabilitation. The fourth section provides an overview of assessment technology and predictive modeling in neurorehabilitation. The fifth section provides a survey of technological approaches to neurorehabilitation, including spinal cord stimulation, functional electrical stimulation, virtual reality, wearable sensing, brain computer interfaces, mobile technologies, and telerehabilitation. The final two sections examine in greater detail the ongoing revolution in robotic therapy for upper extremity movement and walking, respectively. The promises and limitations of these technologies in neurorehabilitation are discussed, including an Epilogue which debates the impact and utility of robotics for neurorehabilitation. Throughout the book the chapters provide detailed practical information on state-of-the-art clinical applications of these devices following stroke, spinal cord injury, and other neurologic disorders and future developments in the field. The text is illustrated throughout with photographs and schematic diagrams which serve to clarify the information for the reader. Neurorehabilitation Technology, Third Edition is a valuable resource for neurologists, biomedical engineers, roboticists, rehabilitation specialists, physiotherapists, occupational therapists and those training in these fields
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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