188,923 research outputs found
Thomas Kerth, éd. — Ulrich von Türheim, « Tristan », 1979 (" Altdtsch. Textbibl. ", 89)
No full textGnädinger Louise. Thomas Kerth, éd. — Ulrich von Türheim, « Tristan », 1979 (" Altdtsch. Textbibl. ", 89). In: Cahiers de civilisation médiévale, 25e année (n°99-100), Juillet-décembre 1982. p. 289
Thomas Kerth, éd. — Ulrich von Türheim, « Tristan », 1979 (" Altdtsch. Textbibl. ", 89)
No full textGnädinger Louise. Thomas Kerth, éd. — Ulrich von Türheim, « Tristan », 1979 (" Altdtsch. Textbibl. ", 89). In: Cahiers de civilisation médiévale, 25e année (n°99-100), Juillet-décembre 1982. p. 289
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe 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
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
Dr. Edward P. Wimberly, ITC, July 2011
No full textThis video is a conversation with Dr. Edward P. Wimberly. Dr. Wimberly talks about his book, "No Shame in Wesley's Gospel: A Twenty-First Century Pastoral Gospel". Brad Ost, AUC Woodruff Library, is the interviewer
Author Rights and Scholarly Publishing
No full textOriginally posted at
http://blog.library.gsu.edu/2014/10/24/author-rights-and-scholarly-publishing/</p
Thrombin Induces SGLT1 and SGLT2 Expression to Promote the AT1R/NADPH Oxidase-Mediated Pro-oxidant Response Inducing Senescence in Atrial Endothelial Cells
No full textSelective sodium-glucose cotransporter 2 (SGLT2) inhibitors have shown cardiovascular protection in type 2 diabetes patients with established cardiovascular (CV) disease independently of glycemic control. Although blood-derived coagulation factors are major contributors of CV diseases, their impact on the expression of SGLT1 and 2 in endothelial cells (ECs) has not been studied. This study investigated whether thrombin affects the expression of SGLT1 and 2 and examined their role in the induction of endothelial senescence. ECs were isolated from porcine atrial tissue (AECs) and used at first passage. Endothelial senescence was assessed by determining senescence-associated beta-galactosidase (SA-beta-gal) activity, oxidative stress using dihydroethidium, and protein level by Western blot analysis and immunofluorescence staining. Exposure of AECs to thrombin (1 or 3 U/ml) for 24 h induced an upregulation of the low protein expression level of SGLT1 and SGLT2. Thrombin induced a sustained pro-oxidant response and increased the level of SA-beta-gal activity that were both inhibited by antioxidants, an angiotensin-converting enzyme inhibitor and an AT1 receptor antagonist and also by sotagliflozin (a dual SGLT1 and SGLT2 inhibitor) and by empagliflozin (a selective SGLT2 inhibitor). In addition, thrombin upregulated the expression level of angiotensin-converting enzyme and AT1 receptors, VCAM-1 and down-regulated that of endothelial NO synthase. In conclusion, thrombin up-regulates both SGLT1 and SGLT2 expression in AECs to sustain oxidative stress leading to endothelial senescence and dysfunction. The fact that the AT1R/NADPH oxidase/SGLT1 and 2 pathway acts in a feedforward manner suggests that inhibition of SGLT1 and/or SGLT2 appears as an attractive strategy to perpetuate the protective endothelial function on the cardiovascular system. Disclosure H. Hasan: None. S. Park: None. E. Belcastro: None. C. Auger: None. H. Lee: None. V. Schini-Kerth: Research Support; Self; Boehringer Ingelheim International GmbH
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