130,383 research outputs found
Emergency endovascular treatment of acute symptomatic or ruptured abdominal aortic aneurysm: a single-center experience.
No full textEmbedded Hardware Architecture for Statistical Rain Forecast
No full textAll in-text references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately
Hepatic artery aneurysm treatment with heparin-bonded covered stent: A case report
No full textThe hepatic artery is the second most common site for aneurysms formation within the splanchnic circulation. Most hepatic artery aneurysms (HAA) are diagnosed incidentally by a computed tomography(CT) scan or a Doppler ultrasonography. We present the case of a HAA diagnosed preoperatively in a 82-year old man, who was treated with an endovascular procedure. An abdominal ultrasonography revealed by chance the presence of a HAA. The abdominal CT scan confirmed an aneurysm of the common hepatic artery, specifically at the origin of the gastroduodenal artery. The gastroduodenal artery was embolized using coils then a heparin-bonded covered stent was deployed into the common hepatic artery to exclude the aneurysm. Final arteriogram documented the regular patency of the stent and the complete exclusion of the aneurysm. No complication occurred and the patient was discharged on the second postoperative day. Six months later, a follow-up with a Duplex scan confirmed the regular patency of the stent, and the patient was in good clinical conditions
Abdominal aortic aneurysm treatment: minimally invasive fast-track surgery and endovascular technique.
No full textMeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Psychological aspects of pain
No full textThe patients affected by critical limb ischemia (CLI) are patients generally considered difficult cases, destined to repeated approach to the sanitary structures. They are patients affected by many pathologies since years, that they know to be potentially lethal often have already faced many interventions, with partial and not long-lasting benefits, they go from one specialist to another and sometimes they entrust themselves to alternative medicine. Physicians have to take in charge not the pathology but to take in charge the patient. For the control of the pain it turns out essential, near the block of the perception of the pain, to act with psychological participation, in order to interfere with the perception of the pain and the meant one of the pain, modify the feelings associated to the pain, modify the behavior induced by pain
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Dispelling the Myths Behind First-author Citation Counts
No full textWe 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
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