1,720,953 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Natural Language Processing for Precise Identification of Primary Tumor Histology and Radiation Necrosis in Stereotactic Radiosurgery Patients
Get PDFThe management of brain metastases and their associated complications, such as radiation necrosis, has long posed significant challenges in radiation oncology. Stereotactic radiosurgery (SRS) is a key treatment modality for patients with brain metastases, yet the complexity of metastatic disease and limitations in diagnostic coding systems, such as the International Classification of Diseases (ICD), often obstruct the accurate extraction of critical information from electronic health records (EHRs). This difficulty especially impacts the identification of primary tumor histology and the detection of post-treatment complications like radiation necrosis (RN), both of which are crucial for improving clinical outcomes and conducting robust observational research. Traditional methods, which rely on ICD-10 codes and manual chart reviews, tend to be inefficient and imprecise, limiting both the scale and timeliness of research.
This research aims to address these challenges by (1) developing advanced machine learning (ML) and natural language processing (NLP) algorithms to enhance the automated identification of primary tumor histologies in patients undergoing SRS, (2) creating an electronic phenotype for accurately detecting radiation necrosis in clinician notes, and (3) implementing and evaluating the RN electronic phenotype in a real world dataset showing the practical utility of the algorithm. Together these methods focus on improving data extraction and diagnostic precision of that extraction of clinical EHR data. Together, these aims contribute to a more streamlined, accurate framework for researching SRS for brain metastases and understanding treatment-related complications.
Aim 1 involved the creation of an ML and NLP algorithm to extract primary tumor histology from clinical records, overcoming the limitations of ICD-10-based classification systems. By accurately identifying the primary tumor type, this algorithm improved the precision and accuracy of identification of patient diagnosis in the EHR, enabling better patient stratification for observational research. We demonstrated that the NLP model greatly improved classification F1-score over ICD. In addition we demonstrated the ability to classify patients by subtypes further demonstrating improvement over ICD classification.
Aim 2 focused on developing an NLP model to detect instances of radiation necrosis in clinical notes. The algorithm analyzed unstructured clinical data, identifying key terms and patterns indicative of RN, facilitating RN detection from the EHR notes. After several failed attempts and making a more elaborate NLP model, we restricted the data to a more uniform corpus and used a simple model that successfully had an F1-score of 0.92 for classifying RN.
Aim 3 focused on a real world practical trial of the RN NLP model. Detailed are 3 separate attempts to improve the precision of the RN classifier while keeping the recall high. After the limit of the algorithm was reached, we investigated the remaining errors highlighting the difficult and often overlapping signs and symptoms. We demonstrated that the NLP algorithm reduced the volume of clinical notes requiring manual review by 90%. Although the notes identified by the algorithm were sometimes false positives, they frequently represented edge cases where the clinician was uncertain about the diagnosis. The NLP algorithm significantly outperformed traditional rule-based text searches, reducing the false positive rate and improving the efficiency of identifying potential RN cases for further review.
Through these specific aims, the study significantly improved the efficiency and accuracy of data extraction for large-scale research and clinical applications. It provided valuable insights into extracting electronic phenotypes radiation necrosis in SRS patients, which potentially may facilitate more informed patient care
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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