179,758 research outputs found
Does R&D Expenditure Boost Economic Growth in Lagging Regions?
We assess the impact of the EU Regional Policy on regional economic growth by applying a new evaluation strategy, which integrates mediation analysis with a quasi-experimental framework. Using the R&D expenditure as an indicator of innovation capability, we evaluate how much of the total effect of the EU Regional Policy is due to R&D in the poorest EU regions. Consistently with the previous literature, we found a positive impact of the overall policy on economic growth, but, among the convergence regions, those investing a higher proportion of funds in R&D have the same convergence rate as regions investing more in other priorities. These findings confirm that the EU Regional Policy played an important role in the economic recovery of the poorest regions in the aftermath of the Great Recession. However, focusing resources on R&D does not seem to provide additional economic benefits, at least in the short run
Long-range pair potential from the low density S(k) of 4He around 6 K
The static structure factor S(k) of gaseous 4He at various densities along the T=6.13 K isotherm has been determined with the G4.1 diffractometer at LLB (Saclay, F). Thanks to the explored k-values (1<k/nm^-1<34), the long range behaviour of the interatomic interaction potential U(r^N) can be conveniently investigated. The resulting structure factors S(k) are presented and compared with previous determinations obtained at almost the same thermodynamic conditions using the D4B and D11 diffractometers at ILL (Grenoble, F). By means of a well known low-k expansion of the Fourier transform of the direct correlation function c(k), the London dispersion coefficient C6 of the r^-6 tail in U(r^N) has been experimentally evaluated for the first time and compared with the values present in literature
Appropriate Similarity Measures for Author Cocitation Analysis
We 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
"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.
Solitary plasmacytoma of the spine: relationship of IGM to tumour progression and recurrence.
Abstract
The authors report a retrospective study of 15 patients with solitary vertebral plasmacytoma. 15 patients were considered in this study on the basis of the following characteristics: 1) histologically confirmed plasmacytoma following surgical removal; 2) existence of a single vertebral lesion, documented by skeletal and MRI scan; 3) no signs, at diagnosis of disseminated disease by blood laboratory test, urine analysis, sternal puncture, iliac bone marrow biopsy, a total-body CT scan. The clinical course of the patients has been analysed on the basis of the following factors: age, sex, length of clinical history before diagnosis, site, presence/absence of the M component. The M component is an electrophoretically homogeneous immunoglobin. The most significant factors for predicting development of multiple myeloma proved to be the presence /absence of the M component at diagnosis and, to a lesser degree, the age of the patient. In the light of other reports too, it would seem that the presence of the M component at diagnosis is a reflection of aggressive biological and clinical tumour behaviour
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
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