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Institution

University of Seville

EducationSeville, Andalucía, Spain
About: University of Seville is a education organization based out in Seville, Andalucía, Spain. It is known for research contribution in the topics: Population & Model predictive control. The organization has 20098 authors who have published 47317 publications receiving 947007 citations. The organization is also known as: Universidad de Sevilla.


Papers
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Journal ArticleDOI
TL;DR: In this article, a distributed permutation flow shop scheduling problem is addressed, in which a set of jobs has to be scheduled over a number of identical factories, each one with its machines arranged as a flow shop.
Abstract: As the interest of practitioners and researchers in scheduling in a multi-factory environment is growing, there is an increasing need to provide efficient algorithms for this type of decision problems, characterised by simultaneously addressing the assignment of jobs to different factories/workshops and their subsequent scheduling. Here we address the so-called distributed permutation flowshop scheduling problem, in which a set of jobs has to be scheduled over a number of identical factories, each one with its machines arranged as a flowshop. Several heuristics have been designed for this problem, although there is no direct comparison among them. In this paper, we propose a new heuristic which exploits the specific structure of the problem. The computational experience carried out on a well-known testbed shows that the proposed heuristic outperforms existing state-of-the-art heuristics, being able to obtain better upper bounds for more than one quarter of the problems in the testbed.

161 citations

Journal ArticleDOI
TL;DR: The data demonstrate that stress sensitises midbrain microglia to further inflammatory stimulus, suggesting that stress may be an important risk factor in the degenerative processes and symptoms of Parkinson’s disease.
Abstract: Parkinson’s disease is an irreversible neurodegenerative disease linked to progressive movement disorders and is accompanied by an inflammatory reaction that is believed to contribute to its pathogenesis. Since sensitivity to inflammation is not the same in all brain structures, the aim of this work was to test whether physiological conditions as stress could enhance susceptibility to inflammation in the substantia nigra, where death of dopaminergic neurons takes place in Parkinson’s disease. To achieve our aim, we induced an inflammatory process in nonstressed and stressed rats (subject to a chronic variate stress) by a single intranigral injection of lipopolysaccharide, a potent proinflammogen. The effect of this treatment was evaluated on inflammatory markers as well as on neuronal and glial populations. Data showed a synergistic effect between inflammation and stress, thus resulting in higher microglial activation and expression of proinflammatory markers. More important, the higher inflammatory response seen in stressed animals was associated with a higher rate of death of dopaminergic neurons in the substantia nigra, the most characteristic feature seen in Parkinson’s disease. This effect was dependent on glucocorticoids. Our data demonstrate that stress sensitises midbrain microglia to further inflammatory stimulus. This suggests that stress may be an important risk factor in the degenerative processes and symptoms of Parkinson’s disease.

161 citations

Journal ArticleDOI
01 Jan 2000-Analyst
TL;DR: A simple and fast high performance liquid chromatographic method for five catechins and caffeine using an ODS column and a water-acetonitrile-formic acid mobile phase system was developed and complete differentiation of the green, black and instant teas was achieved.
Abstract: A simple and fast high performance liquid chromatographic method for five catechins and caffeine using an ODS column and a water-acetonitrile-formic acid mobile phase system was developed. The catechins (epicatechin, catechin, epigallocatechin, epigallocatechin gallate, epicatechin gallate) and caffeine were separated by an acetonitrile gradient within 20 min. The detection limit of the method was approximately 10 ng for all the compounds (by injecting 10 microL). Several green, black and instant teas were analysed using this method. By using the studied compounds as chemical descriptors, linear discriminant analysis was performed and complete differentiation of the green, black and instant teas was achieved.

161 citations

Journal ArticleDOI
TL;DR: In this article, the authors highlight the complexity and diversity of approaches considered by the different authors, highlighting a range of issues and challenges in their contributions, and suggest that there is a lack of research in the field of graduate entrepreneurship in the developing world, and that further research in developing countries may help to understand and shed light on the issues evolving around graduate entrepreneurial intentions, business start-up and education.
Abstract: Purpose – The purpose of this paper is to introduce the special issue by positioning and examining some of the key issues, tensions and challenges in graduate entrepreneurship in the developing world.Design/methodology/approach – The paper recognises the complexity and diversity of approaches considered by the different authors, highlighting a range of issues and challenges in their contributions. The paper is divided into the following sections: entrepreneurial intentions, attitudes and motivations; the role of higher education; and contextual cases, opportunities and challenges in graduate entrepreneurship.Findings – The paper suggests that there is a lack of research in the field of graduate entrepreneurship in the developing world, and that further research in developing countries may help to understand and shed light on the issues evolving around graduate entrepreneurial intentions, business start‐up and education. Some preliminary themes emerge from research included in this special issue. First, en...

161 citations


Authors

Showing all 20465 results

NameH-indexPapersCitations
Russel J. Reiter1691646121010
Aaron Dominguez1471968113224
Jose M. Ordovas123102470978
Detlef Lohse104107542787
Miroslav Krstic9595542886
María Vallet-Regí9571141641
John S. Sperry9316035602
Jose Rodriguez9380358176
Shun-ichi Amari9049540383
Michael Ortiz8746731582
Bruce J. Paster8426128661
Floyd E. Dewhirst8122942613
Joan Montaner8048922413
Francisco B. Ortega7950326069
Luis Paz-Ares7759231496
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023143
2022567
20213,357
20203,480
20193,032
20182,766