1,721,069 research outputs found
Physician shortages in rural Vietnam: Using a labor market approach to inform policy
No full textThis paper investigates labor market dynamics for physicians in Vietnam, paying particular attention to geographic distribution and dual job holding. The analysis is based on a survey of a random sample of physicians in 3 regions in 2009–10. We found that the labor market for physicians in Vietnam is characterized by very little movement among both facility levels and geographic areas. Dual practice is also prominent, with over one-third of physicians holding a second job. After taking account of the various sources of income for physicians and controlling for key factors, there is a significant wage premium associated with locating in an urban area. This premium is driven by much higher earnings from dual job holding rather than official earnings in the primary job. There are important policy implications that emerge. With such low job turnover rates, policies to increase the number of physicians in rural areas could focus on initial recruitment. Once in place, physicians tend to remain in their jobs for a very long time. Lastly, findings from an innovative discrete choice experiment suggest that providing long-term education and improving equipment are the most effective instruments to recruit physicians to work in rural areas.<br/
THE NATURE AND PROVISION FOR THE PROBLEMS OF FAIRFAX COUNTY VIRGINIA PUBLIC SCHOOL LANGUAGE-MINORITY STUDENTS
No full textSource: Dissertation Abstracts International, Volume: 40-02, Section: A, page: 5610.Ph.D. American University 1979.Englis
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
[Viêt Nam] Patient 91: How Vietnam saved a British pilot and kept a clean Covid-19 sheet
No full textAuteurs : Oliver Barnes & Bui Thu. Production : BBC News. Diffusion : site de BBC News. Date : 27 juin 2020. "If I'd been almost anywhere else on the planet, I'd be dead. They would have flicked the switch after 30 days," says Stephen Cameron from his hospital bed. Source : Oliver Barnes & Bui Thu, « Patient 91: How Vietnam saved a British pilot and kept a clean Covid-19 sheet », BBC News, 27/06/2020. URL : https://www.bbc.com/news/world-asia-53196009 (consulté le 27/06/2020). ..
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
Financial ratios as indicators in bankruptcy prediction: A comparative analysis of statistical and machine learning models
No full textThis paper investigates the optimal approach for predicting corporate bankruptcy risk within the context of Vietnam based on financial ratios. As a unique dataset of listed Vietnamese firms from 2010 to 2021 is employed, we confirm that machine learning models for bankruptcy prediction significantly surpass the traditional logistic regression. In addition, our dataset is divided into two subsets for training and testing models with proportions of 75% and 25%, respectively. The results demonstrate that the XGBoost and Random Forest techniques are superior to K-Nearest Neighbor and Logistic Regression in forecasting failure in both periods. Notably, our paper reveals that the predictive performance was slightly decreased compared to the two periods, and the forecasting after one year is higher than two years ahead
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