1,720,956 research outputs found
New Inequality for L-Lipschitzian Functions and Applications
This article gives a really vital and curiously inequality on Jain-Saraswat’s functional discrimination in terms of the Hellinger discrimination and Bhattacharya discrimination by taking into thought L-Lipschitzian functions. Encourage, we outlined a few vital results by utilizing the inferred inequality with numerical confirmation
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
Aplicación de la nueva medida difusa en la toma de decisiones multiatributos
The implementation of multi-attribute decision-making (MADM) and the different approaches that facilitate it are addressed in this article. We focus on a recently developed fuzzy divergence measure, which is critical in improving decision accuracy when faced with several conflicting criteria. To highlight its real-world relevance, we present a detailed case study focusing on picking the best market for investment. In this case study, the previously studied Fuzzy divergence measure that is used to evaluate and prioritize various market possibilities based on important characteristics such as risk, return, and market potential. In this example, we demonstrate how this unique measure improves decision-making processes by providing a more precise and comprehensive method to selecting the greatest investment possibilities in uncertain and complicated contexts. The findings highlight the measure\u27s usefulness in guiding investment decisions and enhancing the overall efficacy of MADM applications.
JEL Codes: C44, D80, D81, D11
Received: 19/07/2024. Accepted: 06/10/2024. Published: 20/10/2024.En este artículo se aborda la implementación de la toma de decisiones multiatributo (MADM) y los diferentes enfoques que la facilitan. Nos centramos en una medida de divergencia difusa desarrollada recientemente, que es fundamental para mejorar la precisión de las decisiones cuando se enfrentan varios criterios contradictorios. Para resaltar su relevancia en el mundo real, presentamos un estudio de caso detallado que se centra en elegir el mejor mercado para invertir. En este estudio de caso, la medida de divergencia difusa previamente estudiada se utiliza para evaluar y priorizar varias posibilidades de mercado en función de características importantes como el riesgo, el rendimiento y el potencial de mercado. En este ejemplo, demostramos cómo esta medida única mejora los procesos de toma de decisiones al proporcionar un método más preciso y completo para seleccionar las mayores posibilidades de inversión en contextos inciertos y complicados. Los hallazgos resaltan la utilidad de la medida para guiar las decisiones de inversión y mejorar la eficacia general de las aplicaciones MADM.
Códigos JEL: C44, D80, D81, D11
Recibido: 19/07/2024. Aceptado: 06/10/2024. Publicado: 20/10/2024
New Series of Information Divergence Measures and their Properties
In this work, we introduce new series of divergence measures as a family of Csiszar’s functional divergence, characterize the properties of convex functions and divergences, compare several divergences, and derive various important and interesting relations among divergences of these new series and other well known divergence measures. Also get the bounds of a particular member of that series together with numerical verification. Application to the mutual information is presented as well
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
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
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