130,925 research outputs found
Le mammouth dans le forest bed de Cromer.
No full textAcy (d') E. Le mammouth dans le forest bed de Cromer.. In: Bulletins de la Société d'anthropologie de Paris, III° Série. Tome 7 fascicule 3, 1884. pp. 452-461
Cromer, Stuart Peyton
No full textStuart Peyton Cromer, Ph.D., M.D. (b.1893-d.1974) was Dean of the University of Arkansas School of Medicine (now UAMS) in Little Rock from 1939 to June 1941. Although Dr. Cromer only served as Dean for two years, he initiated many programs and policies to modernize the medical school. A native of Ohio, Dr. Cromer was hired by U of A President Futrall (with the approval of Gov. Bailey) to address the medical school's chronic accreditation difficulties. To that end, Dean Cromer instituted monthly meetings of the full medical faculty and an executive committee of department heads to deal with policy issues. He recruited the school's first two full-time faculty members and began a full schedule of clinical bedside instruction. He raised academic standards by requiring competitive college grades and the MCAT for applicants and awarded medical students for academic achievement i.e., Buchanan key and Bailey cup trophy. The medical school also sponsored post-graduate courses for practicing physicians. In 1939, the General Assembly approved an annual appropriation of 175,000 to lease the City Hospital which was renovated to accommodate 200 beds. Despite his progressive leadership, Dean Cromer, along with U of A President Fulbright, was fired in June 1941 by the newly elected Gov. Homer Adkins.black and white prin
SERF: a new antigen in the Cromer blood group system
No full textThe Cromer blood group system consists of eight high incidence and three low incidence antigens carried on decay-accelerating factor (DAF). This report describes the identification and characterization of a new Cromer high incidence antigen, named SERF.
Sequence analyses of DNA from a Thai female whose serum contained the alloantibody to a high incidence antigen in the Cromer blood group system (anti-SERF) and from her two children were performed. Reverse transcriptase-polymerase chain reaction (RT-PCR) and sequence analysis on cDNA from the proband and PCR-restriction fragment length polymorphism analysis on DNA from Thais were also performed. To map the epitope, DAF deletion mutants were tested by immunoblotting with anti-SERF.
Sequence analysis revealed a substitution of 647C>T in exon 5 DAF in the proband. The proband's two children and two of 100 Thais were heterozygotes 647C/T. Analysis using DAF deletion mutants revealed the antigenic determinant to be within short consensus repeat 3 (SCR3), which is encoded by exon 5.
This study describes a novel high incidence antigen (SERF) in the Cromer blood group system characterized by the amino acid proline at position 182 in SCR3 of DAF. The SERF-negative proband has a substitution mutation that predicts for leucine at this position. SERF has been provisionally assigned the International Society of Blood Transfusion number 021·012 (CROM 12)
MeSH term explosion and author rank improve expert recommendations
Full text linkInformation 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
Full text linkThe 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"
Full text linkBoth 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
Full text linkWe 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
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