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An investigation on the evolution of diabetes data in social Q&A logs

more connected and coherent than that of 2005–2006. That is to say, connections between these core terms increased, while the number of core terms that diabetics used in 2013–2014 was less than in 2005–2006. 4.2 Diabetics are concerned more about daily life than before A remarkable change took place for term use from 2005–2006 to 2013–2014 in terms of the term co-occurrence network metrics. An independent-samples t -test analysis was applied to compare degree centrality and betweenness centrality between the term co-occurrence networks of 2005–2006 and 2013

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Safe Open Science for Restricted Data

accepted in the scientific community as necessary to validate research findings, but not any of the following: preliminary analyses, drafts of scientific papers, plans for future research, peer reviews, or communications with colleagues. This “recorded” material excludes physical objects (e.g., laboratory samples), trade secrets, personnel and medical information, etc..” Federal Register 2 CFR 200.315(e)(3) Open science is frequently mistaken for open access. Open access data are freely available, free of cost, or other barriers to its access. Open science allows for

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Data-driven Pattern Analysis of Acknowledgments in the Biomedical Domain

sections of each article. It was revealed that almost half of the articles contained some statements of acknowledgment, and most of them were compounded acknowledgments including personal, moral, financial, technical, and conceptual support from institutions, agencies, coworkers, and mentors. McCain (1991) also conducted quantitative and qualitative analyses on the acknowledgment section to identify the exchange patterns of research-related information in the journal, Genetics . In biology, physical research products, such as experimental materials and innovative

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Structural Analysis of Medical-Terminology Hashtag versus Lay-Language Hashtag Tweet Collections: An Information Theoretical Method with Entropy Matrix

an image without human intervention. In a repetitive test with more than 700 images, this approach appeared to be effective and adequate. No identical set was assigned to different images. Sometimes there are textual tweets contain the same image but with different contents; while other times tweets share both content and image, but those image files are in distinctive resolutions. For those cases, the numerical set remains the same across different tweets regardless size or resolution of the image(s) which provides consistency for the study. All the red values

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