1,720,960 research outputs found
Clinical and radiological outcomes of patients on whom posterior C1-C2 stabilization is applied in C2 odontoid fractures
No full textC2 odontoid fractures constituting 18% of total cervical fractures have a high mortality rate. These fractures may be treated with surgical methods such as external immobilization and odontoid screwing, and anterior or posterior transarticular screwing. Our study presents the clinical and radiological outcomes of patients who received C1-C2 posterior stabilization in C2 odontoid fractures. Twenty patients who underwent posterior C1-2 stabilization at Inonu University neurosurgery clinic between 01.01.2015 and 01.06.2020 were included in this study. These patients were categorized based on their age, sex, fusion ratio, failure to position the fracture line, comorbid diseases, additional trauma, type of accident, duration of hospitalization, the shape of the fracture line, complications and calcification ratios around the dens, and they were followed up for six months. There was a fusion in the fracture line of 19 (95.0%) patients. It is possible to fail to position the fracture in those with irregular fracture lines among patients, and there was a statistically significant difference regarding this issue (p=0.001). There were 3 (15.0%) patients with calcification around the dens. There was a significant relationship between calcification around the dens and age, where the calcification ratio increased as the age increased (p=0.004). The fusion rate is high among patients who receive C1-C2 stabilization. In patients where calcification develops around the dens, the possibility of neck pain to continue despite the stabilization removal should be kept in mind. In the treatment of C2 odontoid fractures,posterior C1-2 stabilization is an effective method. [Med-Science 2021; 10(2.000): 592-5
Development of web-based software for acute coronary syndrome and a medical data mining application
No full text
Classification of chronic kidney failure by applying different tree-based methods on a medical data set
No full textThe purpose of this study is to classify chronic kidney failure (CKF) by applying different tree-based methods on the open-access CKF data set and to compare the performance of the methods used. Classification models will be created using decision trees, J48, Random Forest, and Gradient Boosted Trees from tree-based methods used in the study were applied to an open-access data set named "Chronic Kidney Disease". There are 400 patients in the data set used, 250 (62.5%) of these patients have chronic kidney failure. Different tree-based methods were implemented to classify chronic kidney failure. Among the 4 different tree-based classification models used, the model with the best classification metrics is the Random Forest model, and other models have also yielded successful results. As a result, very successful results were obtained in the study performed with the classification methods used and the chronic renal failure data set. Each model was able to classify the data with high classification performance. [Med-Science 2021; 10(2.000): 600-4
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
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