130,500 research outputs found
De valetudine
No full text... pro summis medicinae honoribus, privilegiis, insignibus doctoralibus rite impetrandis disputabit publice A. D. XXVII. Augusti Salomon Reisel Hirschberga Siles. Anno ... M DC LIIDisputatio inauguralisEnth. 20 ThesenDiss. med. Basel, 165
The Influence of Job Insecurity on Task and Contextual Performance in Italy and the U.S.: Only Negative Effects?
No full textPurpose. Using samples from Italy and the U.S., we examine the mechanisms through which job insecurity affects task and contextual performance. Drawing on a two-dimensional stressor framework, it is hypothesized that job insecurity may affect behavioural outcomes differentially. On one hand, job insecurity may have a negative affect (hindrance stressor) and, on the other hand, it may positively affect behavioural outcomes (challenge stressor). The model attempts to disentangle both mechanisms by introducing overall job attitude (job satisfaction and affective commitment) as a mediating variable. The research permits us to examine cross-cultural generalizations.
Methodology. Data were collected from 322 blue-collar workers in Italy and 320 staff in the U.S. The meditational model was tested using SEM with bootstrapping estimates of indirect effects.
Results. In both countries, job insecurity is found to be a hindrance stressor that induces strain reactions: one way to cope with such a stressor is to behaviourally withdraw from the situation, i.e., reduced performance and OCB.
Limitations. Because of the cross-sectional design, no inferences were made about true causal relationships.
Practical Implications. Job insecurity does not act as a challenge stressor to motivate employees’ performance. This suggest that managers should communicate clearly about change initiatives to reduce job insecurity, enhance affective commitment and job satisfaction, thereby indirectly improving productive behaviours
Originality. This paper contributes to the cross-cultural generalizability of job insecurity and performance outcomes. Further, it compares challenge and hindrance affects of job insecurity
Hippocampal scrapie infection impairs operant DRL performance in mice
No full textIn differential reinforcement of low rates of responding (DRL) tasks, animals are trained to respond for rewards that become available only after some set time has elapsed since the animal's previous response. DRL performance is impaired by hippocampal lesions regardless of their precise location, and can be measured using automated operant equipment, whereas spatial tasks are selectively impaired by dorsal, but not ventral hippocampal lesions, and are typically conducted by hand. Earlier studies of prion infection following dorsal hippocampal microinjections of scrapie have shown clear impairments of spatial alternation, but these occurred significantly later than dysfunction in hippocampus-dependent domestic tasks such as nesting or burrowing. In the present experiment, mice were trained to respond on an automated DRL schedule prior to dorsal hippocampal ME7 scrapie injection. Postoperative DRL performance was monitored, along with performance on domestic and other tests, which provided additional measures of disease progression. Animals with scrapie developed a clear DRL deficit at approximately the same time as their deficits on the other tests became apparent, and long before clinical signs were detectable. DRL deficits thus appeared earlier in the sequence of disease progression than previously reported for spatial alternation, suggesting that early signs of scrapie infection are caused in part by neuronal dysfunction extending beyond the dorsal hippocampal region of initial infection
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
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