130,444 research outputs found
"Tumor and host" by R.E. Kavetsky (1962): implications for the past, present and future
No full textWe thank the Publishing House “Akademperiodyka” (Kiev) for the permission to publish the “Historical perspectives” that is a part of chapter “Tumor-host interactions and metabolic microenvironment of cancer cells” by S. Osinsky, D. Kelleher, in: Osinsky S, Friess H, Vaupel P. (eds.) Tumor hypoxia in the clinical setting. Akademperiodyka, Kiev, 2011: 129–153
MeSH 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
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
Scholarly Communication and Publishing Lunch and Learn Talk #11: The ULS Open Access Author Fee Fund
No full textAt the May 2014 talk, you will learn about the ULS Open Access Author Fee Fund--what it is, why we do it, how it works, and how the program is going so far
The R&D Tax Incentives
No full textThis article sets out some background information and reflections of the author on the R&D tax incentive schemes included in the Common Corporate Tax Base (CCTB) Proposal. In particular the author analyzes the stimulus to private R&D through ad hoc tax incentives included in the CCTB Proposal and dives into the actual provisions included in the Proposal highlighting the most relevant issues connected with their design and interpretation. Moreover, the author explores the interaction between the CCTB Proposal and the granting by Member States of domestic R&D tax incentives
Expression of CXCR4 in tumor and bone marrow of gastric cancer patients: association with hypoxia-regulated indices, disseminated tumor cells and survival
No full textExpression of CXCR4 in tumor and bone marrow of gastric cancer patients: association with hypoxia-regulated indices, disseminated tumor cells and survival / D. Osinsky et all. Annals of Oncology. 2014.Aim: CXCR4 expression is associated with metastasis and poor outcome of various
cancers but its role in gastric cancer (GC) is still unclear. This study was aimed to
analyze the association of CXCR4 expression in GC and bone marrow (BM) with
clinical outcome. Methods: 65 resected tumor specimens were studied. immunohistochemistry, NMR-spectroscopy, and zymography were used. Disseminated tumors cells (DTCs) in BM was detected by immunocytochemistry. All patients were thoroughly informed about the study. Statistical analyses were done using NCSS2000/PASS2000 and Prism (version 4.03) software packages. Results: CXCR4 protein was expressed in 78.5% of GC specimens. It was correlated with level of tumor hypoxia (assessed by PME/Pi ratio; r = 0.492, p < 0.05), VEGF expression (r = 0.337, p < 0.01) and gelatinases activity (r = 0.33; p < 0.05). CXCR4+ cells in GC was detected in 80% of patients with DTC in BM. Overall survival (OS) of patients with CXCR4+-tumors was poorer than that of patients with CXCR4−-tumors (p < 0.037). The CXCR4+ cells in BM was found in 46% of all patients, and in 56% of patients with DTC. It was also detected that CXCR4+ cells in BM in patients with M0 category was detected in 63% of patients with DTC. CXCR4 expression in BM was not associated with OS. It was evaluated that in all patients with CXCR+ tumors risk of unfavorable outcome increased by more a factor of 2.82 (HR = 2.82; 95%CI 1.162–6.832; p < 0.05). CXCR4 expression in BM was positively associated with DTC, especially in patients with M0 category. It was observed that in patients both with M0 category and CXCR4+ BM risk of unfavorable outcome increased by a factor of 3.4 (HR = 3.4; 95%CI 1.156–12.054; p < 0.03).
Conclusions: CXCR4 expression in tumor was positively correlated with hypoxia and
VEGF expression in tumor and OS. CXCR4 expression in BM is associated with DTC
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