1,720,978 research outputs found
Augmenting surgery: Medical students’ assessment and ergonomics of 3d holograms vs. ct scans for pre-operative planning
Get PDFINTRODUCTION: Mixed reality (MR) allows surgeons to pre-operatively assess patients’ anatomy (e.g., tissue to be removed). However, medical students have limited access to this technology, and express both the desire to try it and suspicious attitudes. OBJECTIVES: To assess students’ experience with traditional vs. innovative technology for pre-operative planning. METHODS: 11 medical students analyzed a lung cancer case using CT scans or a 3D hologram (MR) and assessed the technology in terms of mental workload, emotions and formative value. RESULTS: MR resulted in less cognitive load and effort, shorter response time and more positive emotions. No differences emerged in formative value, but the students expressed the desire to be trained both in traditional and innovative technology for pre-operative planning. CONCLUSION: Medical students respond positively to “hands-on” experiences of technology for pre-operative planning. The time may be ripe to include MR in medical formation
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
Anthropometric estimates can predict satisfaction with breast in a population of asymptomatic women
Get PDFBackground: Several authors hypothesized that normative values of breast related quality of life in asymptomatic populations can be helpful to better understand changes induced by surgery. Breast related quality of life can be associated to breast anthropometry. This study was designed to explore this hypothesis, find relevant correlations and, using machine learning techniques, predict values of satisfaction with breast from easy body measurements. Methods: Asymptomatic women undergoing routine clinical examination for breast cancer prevention were interviewed using the BREAST_Q V1 Breast Conserving Surgery Pre-op. Descriptive statistics was performed to describe the characteristics of the population. The Pearson correlation test defined correlation between relevant anthropometric variables and scores in each domain of the BREAST_Q. Regression analysis was employed to assess variation in the “Satisfaction with breast” domain when looking at the mirror dressed or undressed. Three machine learning algorithms were tested to predict scores in the “Satisfaction with breast domain” given body mass index and nipple to sternal notch distance. Results: One-hundred and twenty-five women underwent clinical examination and assessment of anthropometry. The reply rate to the BREAST_Q ranged from 99.2 to 88% depending on the domains. The “satisfaction with breast” domain was negatively associated either to BMI [rPearson = −0.28, CI (−0.41, −0.15) p < 0.005] and Age [rPearson = −0.15, CI (−0.29, −6.52e-03) p = 0.04]. The N_SN distance was also negatively associated to this domain with the following values for the right [rPearson = −0.34, CI (−0.45, −0.21) p < 0.000] and left side [rPearson = −0.31, CI (−0.43, −0.17) p < 0.000]. Linear regression analysis was performed on questions 1 and 4 of the “Satisfaction with Breast” domain revealing a steeper decrease for women with higher BMI values looking in the mirror undressed (Adjusted R-squared BMI: Dressed − 0.03329/Undressed − 0.08186). The combination of two parameters (BMI and N_SN distance) generated the following accuracy values respectively for three machine learning algorithms: MAP (Accuracy = 0.37, 95% CI: (0.2939, 0.4485)); Naïve Bayes (Accuracy = 0.70, 95% CI: (0.6292, 0.7755); SVM (Accuracy = 0.63, 95% CI: (0.5515, 0.7061)). Conclusions: This study generates normative scores for a Mediterranean population of asymptomatic women and demonstrates relevant associations between anthropometry and breast related quality of life. Machine learning techniques may predict scores of the “satisfaction with breast” domain of the Breast_Q using body mass index and nipple to sternal notch estimates as input. However, the algorithm seems to fail in approximately one third of the sample probably because is not able to capture many aspects of personal life. Much larger sample and more qualitative research is required before establishing any direct association between body estimates and quality of life. Clinical implications are given
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
Transformative process in narratives of bodily autobiographical memories: A psychological clinical group intervention with breast cancer survivors.
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