1,720,957 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
Traffic State Estimation and Traffic Signal Control Optimization in a Connected Transport Network
No full text© 2021 Azadeh EmamiUrbanization and population growth intensify the problems associated with traffic congestion in metropolitan areas all over the world. Therefore, researchers always seek to find innovative solutions to enhance the performance of transport systems in terms of safety, mobility, and environmental sustainability. Consequently, the optimal design of signal control parameters concerning real-time traffic congestion has been the subject of extensive research for many years. The states of the art traffic signal control methods mainly use the data from infrastructure-based sensors such as loop detectors and video cameras. However, these sensors are mainly spot detectors and are only able to sense the presence of vehicles in specific parts of the network. Therefore, they are unable to provide an overall insight into the traffic situation in the whole network. As a result, the infrastructure-based signal controllers are not fully adaptive, and the acquired data from these types of sensors are only applied to make some minor changes in the predesigned signal plans. Furthermore, the infrastructure-based sensors are associated with some drawbacks such as high installation and maintenance cost as well as inaccuracy and rate of failure.
This research is motivated by the recent advancements in communication technologies as well as intelligent transportation system applications. These technologies make it possible for vehicles equipped with onboard units (OBUs) to exchange their information such as position, speed, acceleration/deceleration with other equipped vehicles, and roadside units (RSUs). The collected data by the RSUs can then be used to realize the spatial real-time traffic situation in the network based on which the traffic signal controllers can make smarter and more informed decisions. Given the enriched data obtained from connected vehicles (CVs), the traffic signal control problem can be formulated based on data-driven and mathematical methods to provide an optimal signal control plan.
Reviewing the literature concerning signal control strategies in a CV system, the following three main research gaps are identified and addressed in this research:
Most of the current literature on traffic signal control in a connected vehicle system is tailored for a condition in which all or the majority of vehicles are connected. However, the generalisability of this type of research on this issue is problematic. Since these algorithms cannot work appropriately when there exists a mixture of ordinary and connected vehicles.
During the last decade, a considerable amount of literature has been published on traffic signal control in a connected vehicle environment. However, only a few are concerned about the network level to consider the coordination between intersections. Most of the algorithms are simply designed for a single intersection without any consideration of the interaction between adjacent intersections.
The majority of the existing network-wide signal control algorithms suffer from computational complexity which prevents them to be real-time implementable.
To address the first research gap, this research develops data-driven estimation methods to estimate the traffic states based on the data acquired from a limited number of connected vehicles in mixed traffic of connected and ordinary vehicles. To deal with the second research gap, a rolling horizon optimization strategy is developed to determine the optimal signal plans of all intersections for the next time step considering the current estimated traffic situation from connected vehicles. The third gap in the literature is also addressed by introducing a network decomposition algorithm to reduce the computational complexity of the optimization problem to be real-time implementable.
This study contributes to the literature in the following areas:
Data-driven traffic states estimation algorithms are proposed to estimate the traffic condition even when only a limited number of vehicles are connected in a transport network (say at least 30%).
Traffic state estimation algorithms in this research have an aggregated approach and do not record the vehicle trajectories in any form. Therefore, the privacy of drivers in charge of connected vehicles is protected.
Connected vehicle data is the only required input for estimation methods and the proposed algorithms do not require the information of any infrastructure-based sensors.
The flow estimation algorithm is also extended to fuse the data from connected vehicles and Bluetooth sensors to provide accurate traffic estimation results in situations with very low market penetration rates of connected vehicles.
A rolling horizon optimization strategy is applied in this research to determine the optimal timing plans of all traffic signals in a network of intersections.
A network decomposition algorithm is introduced to split the network into several smaller subnetworks and convert the centralized signal control optimization problem to a semi-centralized approach. The suggested semi-centralized control strategy has a significantly reduced computational time in comparison with its centralized counterpart. The affordable computational time makes the model applicable for real-time implementation.
The integration of estimation and optimization algorithms results in better performance of the proposed traffic signal plan (in terms of mobility indexes such as travel time, number of stops, average speed, queue length, and emissions) compared with a base case actuated coordinated signal plan where the penetration rate of the connected vehicles is 30% or more
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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