133,890 research outputs found
College library as nerve centre for research activities
Govin, D.; Rafferty, B.; Carelse, M.; - Provincial Goverment: Western Cape, SOUTH AFRICAThe role of the libraries research activitie
College library as nerve centre for research activities
Govin, D.; Rafferty, B.; Carelse, M.; - Provincial Goverment: Western Cape, SOUTH AFRICAThe role of the libraries research activitie
Geothermal greenhouse information package
"March 2008. Revised and updated from a similar publication By Kevin Rafferty, PE and Tonya Boyd, June 1997."This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Includes bibliographical references.Mode of access: Internet from the Oregon Government Publications Collection.Text in English
Combining social network analysis and the NATO Approach Space to define agility. Topic 2: networks and networking
This paper takes the NATO SAS-050 Approach Space, a widely accepted model of command and control, and gives each of its primary axes a quantitative measure using social network analysis. This means that the actual point in the approach space adopted by real-life command and control organizations can be plotted along with the way in which that point varies over time and function. Part 1 of the paper presents the rationale behind this innovation and how it was subject to verification using theoretical data. Part 2 shows how the enhanced approach space was put to use in the context of a large scale military command post exercise. Agility is represented by the number of distinct areas in the approach space that the organization was able to occupy and there was a marked disparity between where the organization thought it should be and where it actually was, furthermore, agility varied across function. The humans in this particular scenario bestowed upon the organization the levels of agility that were observed, thus the findings are properly considered from a socio-technical perspective
MeSH term explosion and author rank improve expert recommendations
Information 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
The 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
Les ménages au cœur de la financiarisation. Sur Risking Together, de D. Bryan et M. Rafferty
International audienceIn Risking Together, Bryan and Rafferty think in the manner of behavioural finance, but they think against it and invent Marxist behavioural finance. They show how households' subjectivity is reshaped by finance in their daily life, and how they unwittingly have become a key player in the production process of derivatives. Households are now integrated into finance on the supply side, through the securitization of their debt but also of their payments, and on the demand side through their savings. Households have collectively become net risk absorbers. What about the systemic issues of the financial loop in which households are now inserted? Considering the omnipotence of finance that transfers risks to households, the social institutionalization of default risk is now required.Bryan et M. Rafferty Résumé Dans Risking together, Bryan et Rafferty pensent à la manière de la finance comportementale, mais ils pensent contre elle et inventent la Marxian behavioural finance. Ils montrent en quoi les ménages, amenés à penser à la manière de la finance dans leur vie quotidienne, sont devenus malgré eux un acteur clé du processus de production des produits dérivés. Les ménages sont désormais intégrés à la finance du côté offre, par la titrisation de leur dette mais aussi de leurs paiements, et du côté demande par leur épargne. Il convient alors de préciser les enjeux systémiques de la boucle financière dans laquelle s'insèrent désormais les ménages, devenus collectivement absorbeurs nets de risque. Face à la toute-puissance d'une finance qui transfère les risques aux ménages, s'impose désormais l'institutionnalisation sociale du risque de défaut
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