1,721,002 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
Predicting the care trajectory and development of high-risk children
No full textLes enfants nés grands prématurés (avant 32 semaines d’aménorrhée) ou avec un très faible poids de naissance (moins de 1 500g) présentent un risque accru de développement altéré sur le long terme. Les directives internationales recommandent une surveillance médicale continue de ces enfants jusqu'à l'âge de sept ans pour détecter précocement les anomalies de développement et fournir des soins adaptés. Avec l'utilisation d'algorithmes statistiques avancés et afin de mieux anticiper les événements de santé futurs des patients, le secteur de la santé se transforme. Dans le suivi des enfants vulnérables, cette approche a le potentiel d'aider les professionnels à identifier les anomalies de développement et à optimiser les soins. En France, le suivi des enfants vulnérables est organisé via des réseaux de santé, coordonnés par les Agences Régionales de Santé. Depuis 2015, en Île-de-France (représentant 20% de la population française), les six réseaux de santé périnatale utilisent un système de dossier médical partagé, appelé HYGIE- SEV. Ce système de santé publique favorise le partage d'informations entre professionnels de santé et constitue une ressource pour la recherche scientifique à partir des données collectées. Les objectifs de cette thèse étaient : 1) identifier les facteurs associés à un suivi non-optimal chez les enfants vulnérables suivis dans HYGIE-SEV, 2) élaborer des modèles prédictifs d’un suivi non-optimal, et 3) généraliser cette approche pour prédire les anomalies de développement. Les données comprenaient 14 557 enfants vulnérables suivis dans HYGIE-SEV entre novembre 2015 et août 2023, dont 12 344 (84,7%) grands prématurés et 12 007 (82,5%) de très faible poids de naissance. Les données incluaient un large éventail d'informations à la naissance telles que des caractéristiques socio-économiques, des caractéristiques cliniques sur la grossesse, l'accouchement et les soins néonatals, ainsi que des informations sur la gestion du suivi. Concernant l’optimalité du suivi, 39,0% des 9 958 enfants éligibles avaient manqué leur visite à deux ans, et 62,6% des 3 881 enfants éligibles avaient manqué leur visite à cinq ans. Les facteurs de risque associés à la non-participation étaient similaires entre deux et cinq ans et comprenaient des facteurs liés à 1) de meilleures conditions médicales initiales telles qu'un âge gestationnel plus élevé, 2) des conditions socio-économiques plus défavorables et 3) des caractéristiques de la gestion du suivi, comme un médecin référent hospitalier. Une méthodologie robuste et reproductible a été mise en place pour évaluer plusieurs algorithmes appliqués à la prédiction de la non-participation aux visites à deux et cinq ans. Plusieurs algorithmes ont été testés, les Random Forests, les Support Vector Machine (SVM), XGBoost, les Multivariate Adaptive Regression Splines (MARS), la régression logistique avec et sans pénalisation, ainsi qu'un réseau de neurones à une couche cachée. Une méthode d'ensemble a également été utilisée. Parmi ces algorithmes, les Random Forests avaient les meilleures performances avec une aire sous la courbe ROC (AUC) de 77,8% à deux ans et de 76,6% à cinq ans pour la prédiction de la non-optimalité du suivi. En appliquant une approche similaire pour prédire le neurodéveloppement à la visite de deux ans, une performance AUC de 78,7% était obtenue. Les résultats prometteurs observés dans la cohorte HYGIE-SEV soulignent l'importance de l’utilisation d'algorithmes prédictifs dans le suivi des enfants vulnérables et les soins de santé. Cette utilisation a le potentiel de favoriser le développement d'outils de e-santé visant à soutenir les professionnels de santé dans l'identification précoce des enfants à risque. En lien avec la médecine personnalisée cela pourrait permettre la délivrance de soins plus adaptés.Infants born very preterm (before 32 weeks of gestation) or with a very low birth weight (under 1,500g) are at an elevated risk of long- term adverse outcomes. International guidelines recommend providing medical care and continuous monitoring for these high-risk children up to the age of seven to early detect developmental anomalies and provide appropriate care. The healthcare sector is undergoing a data-driven transformation with the use of advanced statistical algorithms to better anticipate future health outcomes in patients. Such approach in the follow-up of high-risk children has the potential to assist healthcare professionals in identifying early developmental issues and optimizing care and follow-up. In France, the monitoring of high-risk children is organized through specialized healthcare networks, coordinated by Regional Health Agencies. In the Île-de-France region (representing approximately 20% of the French population), the six specialized perinatal healthcare networks have used a shared electronic health record system, known as HYGIE-SEV, since 2015. This system promotes seamless information sharing among healthcare professionals, supports public health surveillance, and serves as a valuable resource for scientific research using collected data. The objectives of this thesis were to: 1) identify factors associated with suboptimal follow-up in high-risk children enrolled in the HYGIE-SEV program, 2) construct predictive models for suboptimal follow-up, and 3) generalize this approach to predict developmental anomalies. The dataset used in this thesis comprised data from 14,557 high-risk children included in HYGIE-SEV program from November 2015 to August 1, 2023, with 12,344 (84.7%) being born very preterm, and 12,007 (82.5%) having a very low birth weight. This dataset encompassed a wide range of information at birth, including socioeconomic characteristics, clinical details of pregnancy, delivery, and neonatal care, as well as information regarding follow-up management. Concerning suboptimal follow-up, the data revealed that 39.0% of the 9,958 eligible children missed their two-year visit, and 62.6% of the 3,881 eligible children missed their five-year visit. Risk factors associated with non-attendance were consistent between the two- and five-year visits and included factors associated with 1) better initial medical conditions such as higher gestational age, 2) lower socio- economic conditions, and 3) characteristics of the follow-up management such as a hospital referring physician responsible for follow-up. A robust and reproducible methodology was then implemented to evaluate several algorithms applied to the prediction of non-attendance at the 2- and 5-years visits. This included data pre- processing, feature engineering, hyperparameter optimization, cross- validation, and managing imbalanced data. Multiple algorithms were tested, including Random Forests, Support Vector Machine (SVM), XGBoost, Multivariate Adaptive Regression Splines (MARS), logistic regression with and without penalization, and a single hidden layer neural network. An ensemble method was also employed. Among these algorithms, Random Forests demonstrated the best performance with an area under the ROC curve (AUC) of 77.8% at two years and 76.6% at five years for predicting non-attendance. Applying a similar approach to predict the optimality of neurodevelopment at the two- year visit yielded an AUC performance of 78.7%. The promising results observed in the HYGIE-SEV cohort underscore the importance of integrating predictive algorithms into the realms of high-risk children's follow-up and healthcare. This integration has the potential to pave the way for the development of eHealth tools aimed at supporting healthcare professionals in the early identification of at-risk children. Consequently, it could enable the delivery of more proactive and customized care, aligning with the principles of personalized medicine
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
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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