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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 paper, the issue of how transmission power losses should be allocated is addressed, and several alternatives to split those terms are suggested which somehow take into account the relative contribution of each transaction.
Abstract: In this paper, the issue of how transmission power losses should be allocated is addressed. First, it is shown that existing methodologies allocate interaction components regardless of the size of the involved partners. Then, several alternatives to split those terms are suggested which somehow take into account the relative contribution of each transaction. Although the ideas are presented by resorting to unbundled branch power flows, the proposed schemes are applicable on a nodal basis. A real example is finally included showing that the total losses assigned to a transaction may differ significantly depending on the allocation methodology adopted.

187 citations

Journal ArticleDOI
TL;DR: In this paper, it was shown that the flattening property is implied by the squeezing property and is in fact weaker, since the attractor in a system with the squeezing properties can be infinite-dimensional, whereas it is always finite-dimensional in the system with flattening properties.
Abstract: The study of qualitative properties of random and stochastic differential equations is now one of the most active fields in the modern theory of dynamical systems. In the deterministic case, the properties of flattening and squeezing in infinite-dimensional autonomous dynamical systems require the existence of a bounded absorbing set and imply the existence of a global attractor. The flattening property involves the behaviour of individual trajectories while the squeezing property involves the difference of trajectories. It is shown here that the flattening property is implied by the squeezing property and is in fact weaker, since the attractor in a system with the flattening property can be infinite-dimensional, whereas it is always finite-dimensional in a system with the squeezing property. The flattening property is then generalized to random dynamical systems, for which it is called the pullback flattening property. It is shown to be weaker than the random squeezing property, but equivalent to pullback asymptotic compactness and pullback limit-set compactness, and thus implies the existence of a random attractor. The results are also valid for deterministic non-autonomous dynamical systems formulated as skew-product flows.

187 citations

Journal ArticleDOI
TL;DR: It is demonstrated that unfolding protein response (UPR) is not correctly activated in aged rat hippocampus, and the up-regulation of apoptotic pathway mediators is increased in aged rats, suggesting the existence of age-related deficits in the systems involved in the defense against unfolded proteins.

187 citations

Journal ArticleDOI
TL;DR: It is proposed that the oncogenic effect of increased expression of securin may result from modulation of p53 functions, and the physiological relevance of this interaction in PTTG1-deficient human tumor cells (PTTG1−/−).
Abstract: Human securin interacts with p53 and modulates p53-mediated transcriptional activity and apoptosis

187 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigate the influence of the potential absorptive capacity (PACAP) on innovation outcomes (IO) in project teams and propose that relational learning (RL) will play a moderator role reinforcing the PACAP and RACAP link.

187 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