130,488 research outputs found
The Soviet Economy in the 1970s – Reflections on the Relation between Socialist Modernity, Crisis and the Administrative Command Economy
Merl S. The Soviet Economy in the 1970s – Reflections on the Relation between Socialist Modernity, Crisis and the Administrative Command Economy. In: Calic M-J, Neutatz D, Obertreis J, eds. The Crisis of Socialist Modernity. The Soviet Union and Yugoslavia in the 1970s. Göttingen; 2011: 28-65
High-efficiency Agrobacterium rhizogenes-mediated genetic transformation in Artemisia vulgaris: hairy root production and essential oil analysis
Agrobacterium rhizogenes-mediated genetic transformation of Artemisia vulgaris was investigated using four bacterial strains: A4GUS, R1000, R1601and ATCC15834 and three explant types: shoot tip, leaf and node. The A4GUS proved to be more competent than other strains and the highest transformation rates were observed in leaf explant (92.6%). Among 92 hairy root clones acquired, clones AV1 and AV2 exhibited the highest growth. Growth of hairy roots was assessed on the basis of total root elongation, lateral root density and biomass accumulation. Out of four media composition, the 1⁄2 MS medium was found to be most suitable for biomass production. Biomass accumulation was the highest when the medium was supplemented with 40 g L−1 sucrose. PCR and Southern hybridization analysis revealed both the TL- and TR-DNA integration in the root clones AV1 and AV2. Hairy roots showed higher growth rate and accumulated substantial amount of essential oils than non-transformed roots. Eighty-seven compounds were identified from transformed root essential oils, whereas 77 compounds were identified from nontransformed root essential oils. The main compounds identified were camphor, camphene, -thujone,
germacrene D, 1,8-cineole and -caryophyllen
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
Individual differences and Information Security Awareness
Abstract not availableAgata McCormac, Tara Zwaans, Kathryn Parsons, Dragana Calic, Marcus Butavicius, Malcolm Pattinso
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
"Get a red-hot poker and open up my eyes, it's so boring"(1): employee perceptions of cybersecurity training
Organisations and security professionals design Security Education, Training, and Awareness (SETA) programs to improve cybersecurity behaviour, but they are often poorly received by employees. To understand employee negative perceptions of SETA programs, we conducted in-depth interviews with 20 Australian employees regarding their experiences with both SETA programs and non-cybersecurity related workplace training. As expected, employees had a generally poor view of SETA programs. They reported that the same factors that are important for effective non-cybersecurity training are also important for SETA programs, such as management role modelling and well-designed workplace systems. How-ever, the level of importance of these factors differed across the two contexts. For example, employees indicated that the misbehaviour of their colleagues is a more important factor for their appraisal of a SETA program than it is for a non-cybersecurity workplace training program. Our results suggest that employee perceptions of SETA programs relate to their previously held beliefs about cybersecurity threats, the content and delivery of the training program, the behaviour of others around them, and features of their organisation. From an
applied perspective, these findings can explain why employees often do not engage with cybersecurity training material, and how their current beliefs can influence their receptivity for future training.A. Reeves, D. Calic, P.Delfabbr
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
Both 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
We 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
At 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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