1,721,001 research outputs found
sj-xlsx-1-jis-10.1177_01655515231205496 – Supplemental material for Identifying key factors and actions: Initial steps in the Open Science Policy Design and Implementation Process
Supplemental material, sj-xlsx-1-jis-10.1177_01655515231205496 for Identifying key factors and actions: Initial steps in the Open Science Policy Design and Implementation Process by Hanna Shmagun, Jangsup Shim, Jaesoo Kim, Kwang-Nam Choi and Charles Oppenheim in Journal of Information Science</p
Supplementary_fig_1-4_and_Table – Supplemental material for TP53-dependence on the effect of doxorubicin and Src inhibitor combination therapy
Supplemental material, Supplementary_fig_1-4_and_Table for TP53-dependence on the effect of doxorubicin and Src inhibitor combination therapy by Yun Sun Lee, Ji-Yoon Choi, Jeeyun Lee, Da Mi Shim, Jaesoo Kim, Woong-Yang Park, Do-Hyun Nam and Sung Wook Seo in Tumor Biology</p
FuNN/2 - A fuzzy neural network architecture for adaptive learning and knowledge acquisition in multi-modular distributed environments
Nikola K. Kasabov, Jaesoo Kim, Michael J. Watts and Andrew R. Gra
Edge Line Information based Underwater Landmark for UUV†
This paper addresses an underwater landmark for updating UUV positioning information. A method is proposed in which the landmark’s cubic shape and edge are recognized. The reliability, installation load, and management of landmark design were taken into consideration in order to assess practical applications of the landmark. Landmark recognition was based on topological features. The straight line recognition confirmed the landmark’s location and enabled an UUV to accurately estimated its underwater position with respect to the landmark. An efficient recognition method is proposed, which provides real-time processing with limited UUV computing pow-er. An underwater experiment was conducted in order to evaluate the proposed method’s reliability and accuracy
A Study on Indexing Efficiency and Retrieval Accuracy for Author Name Search of Academic Papers
Abstract: Most academic information has its creator, that is, a subject who has created the information. The subject can be an individual, a group, or an institution, and can be a nation depending on the nature of the relevant information. Most web data are composed of a title, an author, and contents. A paper which is under the academic information category has metadata including a title, an author, keyword, abstract, data about publication, place of publication, ISSN, and the like. A patent has metadata including the title, an applicant, an inventor, an attorney, IPC, number of application, and claims of the invention. Most web-based academic information services enable users to search the information by processing the meta-information. An important element is to search information by using the author field which corresponds to a personal name. This study suggests a method of efficient indexing and using the adjacent operation result ranking algorithm to which phrase search-based boosting elements are applied, and thus improving the accuracy of the search results of author name. This method can be effectively applied to providing accurate search results in the academic information services
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
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