941 resultados para utilizing university research
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Dietetics Rectal Tumours and Pressure Relief Physio and Pilates with Gynae Cancer PatientsPhysio Nordic Walking and Breast CancerNeuro RehabRelaxation and Lung Cancer Physio for a Haematology Exercise Scheme - Cancer Related Fatigue Strategies Physio Classes and Prostate CancerRehab - Malignant Spinal Cord Compression and Rehab needs Seating.
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Applied studies on the relationship between geography and technological innovation for United States, Germany, France and Italy have shown the positive effects that academic research exerts on the innovate output of firms at spatial level. The purpose of this paper is to look for new evidence on the possible effects of the university research for the case of Spain. To do so, within the framework of a Griliches-Jaffe knowledge production function, and using panel data and count models, the relationship between innovate inputs and patents, in the case of the Spanish regions is explored
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Applied studies on the relationship between geography and technological innovation for United States, Germany, France and Italy have shown the positive effects that academic research exerts on the innovate output of firms at spatial level. The purpose of this paper is to look for new evidence on the possible effects of the university research for the case of Spain. To do so, within the framework of a Griliches-Jaffe knowledge production function, and using panel data and count models, the relationship between innovate inputs and patents, in the case of the Spanish regions is explored
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Applied studies on the relationship between geography and technological innovation for United States, Germany, France and Italy have shown the positive effects that academic research exerts on the innovate output of firms at spatial level. The purpose of this paper is to look for new evidence on the possible effects of the university research for the case of Spain. To do so, within the framework of a Griliches-Jaffe knowledge production function, and using panel data and count models, the relationship between innovate inputs and patents, in the case of the Spanish regions is explored
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Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014
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A Kuhnian approach to research assessment requires us to consider that the important scientific breakthroughs that drive scientific progress are infrequent and that the progress of science does not depend on normal research. Consequently, indicators of research performance based on the total number of papers do not accurately measure scientific progress. Similarly, those universities with the best reputations in terms of scientific progress differ widely from other universities in terms of the scale of investments made in research and in the higher concentrations of outstanding scientists present, but less so in terms of the total number of papers or citations. This study argues that indicators for the 1% high-citation tail of the citation distribution reveal the contribution of universities to the progress of science and provide quantifiable justification for the large investments in research made by elite research universities. In this tail, which follows a power low, the number of the less frequent and highly cited important breakthroughs can be predicted from the frequencies of papers in the upper part of the tail. This study quantifies the false impression of excellence produced by multinational papers, and by other types of papers that do not contribute to the progress of science. Many of these papers are concentrated in and dominate lists of highly cited papers, especially in lower-ranked universities. The h-index obscures the differences between higher- and lower-ranked universities because the proportion of h-core papers in the 1% high-citation tail is not proportional to the value of the h-index.
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This paper discusses the environment around universities in Russia and possible approaches to analyzing and choosing the method for applied research results commercialization as well as selecting promising applied research areas in that environment. Conceptual foundations for decision making during the commercialization and roadmap/action plan creation processes are outlined. These can be useful to both universities for planning their activities aswell as for organizations that plan to cooperate with universities or that are interested in university generated research. This being said, obtained models and used evaluation parameters may be unique and may depend upon the particular project, university, region, and personal preferences of decision makers. Thus, consideration of these parameters and characteristics only has merit when making decisions in the dynamics of change of these parameters. For this purpose statistical information is needed that characterizes the competencies of the research organization (university) inquestion, needs of partner organizations, governmental and societal requirements, and science and technology prospects. After determining the promising research areas it’s time to look at particular projects, which in turn are also characterized by various parameters dependent upon their objectives. Considering the values of these parameters in their dynamics allows control of project parameters in the course of its execution. This in turn allows prediction of negative situations and alleviation of such by setting the target values of parameters and using best practices and standardization of management processes to achieve those values.
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Mode of access: Internet.
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Mode of access: Internet.
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Mode of access: Internet.
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Mode of access: Internet.