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Leganes, Spain

The Charles III University of Madrid is one of the six public universities in the Community of Madrid, Spain, in addition to the Complutense University of Madrid, the Autonomous University of Madrid, the Technical University of Madrid, the King Juan Carlos University and the University of Alcalá.Its campuses are located in the municipalities of Leganés, Colmenarejo and Getafe, in addition to the Puerta de Toledo campus in Downtown Madrid.Its name refers to Charles III of Spain. Wikipedia.

Abascal J.F.,Charles III University of Madrid
Journal of biomedical optics | Year: 2012

Reconstruction algorithms for imaging fluorescence in near infrared ranges usually normalize fluorescence light with respect to excitation light. Using this approach, we investigated the influence of absorption and scattering heterogeneities on quantification accuracy when assuming a homogeneous model and explored possible reconstruction improvements by using a heterogeneous model. To do so, we created several computer-simulated phantoms: a homogeneous slab phantom (P1), slab phantoms including a region with a two- to six-fold increase in scattering (P2) and in absorption (P3), and an atlas-based mouse phantom that modeled different liver and lung scattering (P4). For P1, reconstruction with the wrong optical properties yielded quantification errors that increased almost linearly with the scattering coefficient while they were mostly negligible regarding the absorption coefficient. This observation agreed with the theoretical results. Taking the quantification of a homogeneous phantom as a reference, relative quantification errors obtained when wrongly assuming homogeneous media were in the range +41 to +94% (P2), 0.1 to -7% (P3), and -39 to +44% (P4). Using a heterogeneous model, the overall error ranged from -7 to 7%. In conclusion, this work demonstrates that assuming homogeneous media leads to noticeable quantification errors that can be improved by adopting heterogeneous models. © 2012 Society of Photo-Optical Instrumentation Engineers (SPIE). Source

Tsipas S.A.,Charles III University of Madrid
Journal of the European Ceramic Society | Year: 2010

The influence of stabilizer type on the phase stability of thermal barrier coatings (TBCs) produced by air plasma spraying was explored. Together with the widely used zirconia-stabilized with yttria, other novel compositions, such as dysprosia-stabilized zirconia, yttria-lanthana-stabilized zirconia and ceria-stabilized zirconia were also investigated. The effect of isothermal heat treatment on the phase stability was explored. Results suggest that decomposition of the "non-transformable" tetragonal phase occurs to a greater or lesser extent for all dopants at these temperatures. The effect of Al 2O 3 and SiO 2 content was also explored. The rate of decomposition depends on the dopant kind, amount and on the presence of Al 2O 3 and SiO 2 impurities. © 2009 Elsevier Ltd. All rights reserved. Source

Terrones M.,Charles III University of Madrid
ACS Nano | Year: 2010

It has recently been demonstrated that graphene nanoribbons can be mass-produced by unzipping carbon nanotubes. At present, wet chemical routes via acid oxidation appear to be the most effective and scalable. Although it was believed that this route resulted in highly defective nanoribbons with low electrical transport properties, a research group led by James Tour at Rice University has now realized that it is indeed possible to obtain highly crystalline graphene nanoribbons exhibiting high electrical conductivities, which could be used in the fabrication of field effect transistors and other devices. The results indicate that a defect-engineering approach could be used to control the straightness and length of the ribbons using oxidation reactions at relatively high temperatures (e.g., 60 °C). It has been shown that defects are critical in tailoring the physicochemical properties of graphene-like nanomaterials such as nanoribbons. However, this is the tip of the iceberg, and more edge chemistry and physics is still needed to develop and to produce real graphene nanoribbon devices for use in the market. © 2010 American Chemical Society. Source

Usaola J.,Charles III University of Madrid
Electric Power Systems Research | Year: 2010

The non-dispatchable nature of wind generation implies that system operation depends on wind power prediction programs that forecast wind farms production with high levels of uncertainty. This means that probabilistic power analysis tools become more and more necessary in systems with high wind penetration. Probabilistic load flow becomes especially difficult when wind generation is considered. The high uncertainty of the production, the non-Gaussian probability density function (PDF) and the clear dependence among the wind farms poses a challenge for conventional tools. The paper proposes an approximation that makes use of the properties of statistical moments and Cornish-Fisher expansion to tackle these new problems. © 2009 Elsevier B.V. All rights reserved. Source

Paraskevopoulou E.,Charles III University of Madrid
Research Policy | Year: 2012

This paper considers the link between public policy and innovation and contributes to the notion that public policies that do not directly address innovation carry along important implications for it. It explores the role of regulation for innovation and innovation policy by emphasizing the importance of non-technological regulatory effects for innovation and their potential as an input for innovation policy. The output of in depth interviews with stakeholders from the detergents industry is combined with various sources of secondary data and reveals a variety of non-technological novelties attributed to regulation that are relevant to innovation. These results are then matched against the objectives of innovation policy, an exercise that gives better insights on the policy links between regulation and innovation policy and concludes on the domains of complementarities between the two. We find that that regulatory policy can contribute to the achievement of targets set by innovation policy while innovation policy measures can facilitate the compensation of negative regulatory implications for innovation. © 2012 Elsevier B.V. All rights reserved. Source

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