1,720,957 research outputs found
Assessment of an organizational model during the first wave of COVID -19 in the South-Eastern Tuscany Health Unit: intensifying community services as prescribed by Ministerial Decree 77 of 2022
No full textIntroduction. At the end of 2019 a new virus, called SARS-CoV-2, emerged in Wuhan, China. The aim of the present study was to assess the impact of the first wave of the COVID-19 pandemic on the health system of the Tuscany Region and the response implemented by the South-Eastern Local Health Unit, also in view of the new reform of territorial healthcare established by Ministerial Decree No. o . 77 of 2022. Methods. Data were taken from the "OpenToscana" database beginning when the first case was recorded in Italy (18 February 2020) until July 2020. We analyzed infections and deaths in each Local Heal.th Unit in the Tuscany Region and calculated the fatality rate (number of deaths/cases x 100) following COVID-19 infection. We subsequently compared the fatality rates among the Local Health Units by means of the Kruskal Wallis test. Results. During the first wave, the South-Eastern Local Health Unit had fewer infections (a total of 1,532 by July) and fewer deaths (total: 107 by July) than the other Local Health Units. In the South-Eastern Local Health Unit, the fatality rate in July was 6.98%. The comparison of the fatality rates among the various LHUs and the whole Region showed statistically significant differences (p<0.001). Conclusions. The organizational models promptly implemented by the South-Eastern Local Health Unit for good territorial care and the management of COVID-19-positive patients limited the spread of infection, and consequently the deaths, thus reducing the fatality rate in the first wave of the pandemic
A long-standing model-driven approach for optimizing blood resource allocation in cardiac elective surgery
No full textBackground: Blood shortages is global health challenge. Despite its importance, the optimal number of packed red blood cell (PRBCs) required for elective cardiac surgery is still underexplored. This study aimed to evaluate a model that estimates the number of PRBCs for elective cardiac surgery. Study design and methods: Data on the actual PRBCs used and predicted by the model for patients who underwent elective cardiac surgery at the University Hospital of Siena from 2013 to 2020 were retrospectively collected. Before model development, the hospital's standard practice was to use approximately 10 blood bags per patient. Results: This study included 2,337 patients. The total number of PRBCs calculated by the model (plus 3 additional bags) and prepared for the surgeries was 13,227, compared to 23,370 bags obtained with the previous strategy. The ratio between actual PRBCs and the model predicted PRBCs was 29.2% for coronary surgery, 18.7% for valve surgery, and 41.4% for combined procedures. In contrast, with the previous strategy the ratio was 14.0%, 10.9%, and 25.8%, respectively. Conclusions: Machine-learning models like the one used in this study can improve patient blood management by accurately predicting the required number of blood bags for elective cardiac surgery
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
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
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
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