The interplay of university and industry through the FP5 network

To improve the quality of life in a modern society it is essential to reduce the distance between basic research and applications, whose crucial roles in shaping today's society prompt us to seek their understanding. Existing studies on this subject, however, have neglected the network character of the interaction between university and industry. Here we use state-of-the-art network theory methods to analyze this interplay in the so-called Framework Programme--an initiative which sets out the priorities for the European Union's research and technological development. In particular we study in the 5th Framework Programme (FP5) the role played by companies and scientific institutions and how they contribute to enhance the relationship between research and industry. Our approach provides quantitative evidence that while firms are size hierarchically organized, universities and research organizations keep the network from falling into pieces, paving the way for an effective knowledge transfer.Comment: 21 pages (including Appendix), 8 figures. Published online at http://stacks.iop.org/1367-2630/9/18

Modeling of sodium nitrite and water transport in pork meat

Four models were used to simulate nitrite uptake and water loss during pork meat curing with sodium nitrite: three empirical ones (the Azuara, the Peleg and the Zugarramurdi and Lupin) and one theoretical (the diffusional). By means of the Azuara and the Peleg models, the equilibrium moisture content and the equilibrium nitrite content were properly identified. Zugarramurdi and Lupin's model did not provide information about process parameters. The effective diffusivities of water (Dwe) and nitrite (DNe) were calculated. The activation energy (ENa and Ewa) was evaluated from the parameters of both the Peleg and the diffusional models. The results were similar; the Peleg model having the advantage of simplicity of calculation. The effect of meat anisotropy was confirmed from the diffusional model; the perpendicular transport of nitrite is easier than the parallel. This study highlighted the importance of choosing the most appropriate model depending on the objective to be achieved.info:eu-repo/semantics/acceptedVersio

Influencia de la combinación de nano-SiO2 y nano-Fe2O3 en la resistencia a compresión, resistencia a tracción, porosidad y resistividad eléctrica de morteros de cemento.

The compressive strength, flexural strength, porosity and electrical resistivity properties of cement mortars with nano-Fe2O3 and nano-SiO2 are studied. Amorphous silica is the main component of pozzolanic materials due to its reaction with calcium hydroxide formed from calcium silicate (C3S and C2S) hydration. The pozzolanic reaction rate is not only proportional to the amount of amorphous silica but also to the surface area available for reaction. Subsequently, fine nano-Fe2O3 and nano-SiO2 particles in mortars are expected to improve mortar performance. The experimental results showed that the compressive strength of mortars with nano-Fe2O3 and nano-SiO2 particles were lower than those obtained with the reference mortar at seven and 28 days. It was shown that the nano-particles were not able to enhance mechanical strength on every occasion. The continuous microstructural progress monitored by mercury intrusion porosimetry (MIP) measurements, pore-size distribution (PSD), total porosity and critical pore diameter also confirmed such results.Se estudia la resistencia a compresión y flexión, porosidad y resistividad eléctrica de morteros de cemento con nano-Fe2O3 y nano-SiO2. La sílice amorfa reacciona con el hidróxido de calcio formado en la hidratación del C3S y C2S. La tasa de reacción puzolánica es proporcional a la cantidad de sílice amorfa y la superficie disponible para la reacción, esperando que las partículas finas de nano-Fe2O3 y nano-SiO2 mejoren las propiedades de los morteros. Los resultados experimentales han mostrado que la resistencia a compresión a siete y 28 días de morteros con partículas de nano-Fe2O3 y nano-SiO2 era, en ocasiones, inferior a la obtenida con el mortero de referencia. Se muestra que las nano-partículas no siempre son capaces de mejorar la resistencia de los morteros. Las medidas mediante porosimetría de intrusión de mercurio (PIM) de la distribución de tamaño de poro (DTP), porosidad total y diámetro de poro crítico confirmaron estos resultados

The LISA PathFinder DMU and Radiation Monitor

The LISA PathFinder DMU (Data Management Unit) flight model was formally accepted by ESA and ASD on 11 February 2010, after all hardware and software tests had been successfully completed. The diagnostics items are scheduled to be delivered by the end of 2010. In this paper we review the requirements and performance of this instrumentation, specially focusing on the Radiation Monitor and the DMU, as well as the status of their programmed use during mission operations, on which work is ongoing at the time of writing.Comment: 11 pages, 7 figures, prepared for the Proceedings of the 8th International LISA Symposium, Classical and Quantum Gravit

School Dropout by Gender in the European Union: Evidence from Spain

The aim of this paper is double, to describe the scope of high school dropout in Spain in comparative terms with Europe and to provide empirical evidence about its main determinants from a gender perspective. Using data from the Eurostat LFS for 1996-2009, the study makes evident a singularity for Spain: the important gender disparity at school. The multivariate statistical analysis shows that for females the academic performance, father’s nationality and mother’s educational level are the most determining factors in their education demand decisions. For males, father’s occupation and labour market conditions are the most significant influences

Modeling of sodium nitrite and water transport in pork meat

[EN] Four models were used to simulate nitrite uptake and water loss during pork meat curing with sodium nitrite: three empirical ones (the Azuara, the Peleg and the Zugarramurdi and Lupin) and one theoretical (the diffusional). By means of the Azuara and the Peleg models, the equilibrium moisture content and the equilibrium nitrite content were properly identified. Zugarramurdi and Lupin's model did not provide information about process parameters. The effective diffusivities of water (Dwe) and nitrite (DNe) were calculated. The activation energy (ENa and Ewa) was evaluated from the parameters of both the Peleg and the diffusional models. The results were similar; the Peleg model having the advantage of simplicity of calculation. The effect of meat anisotropy was confirmed from the diffusional model; the perpendicular transport of nitrite is easier than the parallel. This study highlighted the importance of choosing the most appropriate model depending on the objective to be achieved.The authors of this paper acknowledge the financial support from CONSOLIDER INGENIO 2010 (CSD2007-00016), Spain.Gómez, J.; Sanjuán Pellicer, MN.; Arnau, J.; Bon Corbín, J.; Clemente Polo, G. (2019). Modeling of sodium nitrite and water transport in pork meat. Journal of Food Engineering. 249:48-54. https://doi.org/10.1016/j.jfoodeng.2019.01.008S485424

Diffusion of nitrate and water in pork meat: Effect of the direction of the meat fiber

[EN] The effect of the direction of the meat fiber on the diffusion of sodium nitrate and water in Semimembranosus pork muscle during curing was studied at different temperatures. Nitrate and water diffusion were modelled based on Fick's second law. The nitrate diffusion coefficients ranged from 0.007·10¿10 to 0.034·10¿10 m2/s (parallel) and 0.89·10¿10 to 1.41·10¿10 m2/s (perpendicular), while for water the values ranged from 9.87·10¿9 to 12.46·10¿9 m2/s (parallel) and 5.22·10¿10 to 9.29·10¿10 m2/s (perpendicular). In every case, these values increased as the temperature rose. The activation energy for water diffusion perpendicular to the meat fiber (31.86 kJ/mol) was greater than when the diffusion was parallel (15.06 kJ/mol). The opposite was observed for nitrate diffusion (96.44 kJ/mol when parallel vs. 24.71 kJ/mol when perpendicular), which implies that nitrate needs more energy for parallel diffusion and, consequently, curing is slower in that direction.The authors of this paper acknowledge the financial support from Spanish Government ("Ministerio de Educacion y Cultura", CONSOLIDER INGENIO 2010, CSD2007-00016) and from the Valencian Government ("Generalitat Valenciana", Valencia, Spain, PROMETEOII/2014/0005).Gómez, J.; Sanjuán Pellicer, MN.; Arnau, J.; Bon Corbín, J.; Clemente Polo, G. (2017). Diffusion of nitrate and water in pork meat: Effect of the direction of the meat fiber. Journal of Food Engineering. 214:69-78. https://doi.org/10.1016/j.jfoodeng.2017.06.028S697821

Mesorhizobium olivaresii sp. nov. isolated from Lotus corniculatus nodules

16 páginas, 3 figuras, 2 tablas. -- The definitive version is available at http://www.elsevier.comIn this study four Mesorhizobium strains isolated from Lotus corniculatus nodules in Granada (Spain) were characterized. Their 16S rRNA gene sequences were closely related to those of M. albiziae LMG 23507T and M. chacoense Pr5T showing 99.4 and 99.2% similarity values, respectively. The analysis of concatenated rpoB, recA, atpD and glnII genes showed they formed a cluster with internal similarities higher than 97%. The closest species also were M. albiziae LMG 23507T and M. chacoense Pr5T showing similarity values lower than 92% in rpoB, recA and glnII genes and lower than 96.5% in the atpD gene. These results indicated that the L. corniculatus strains belong to a new species of genus Mesorhizobium which was confirmed by DNA-DNA hybridization and phenotypic characterization. Therefore a new species with the name Mesorhizobium olivaresii sp. nov. is proposed, and the type strain is CPS13T (LMG 29295T = CECT 9099T).This work was supported by the EU-INCO project LOTASSA (J.S.) and Junta de Andalucía (Spain). JDFF is recipient of a predoctoral fellowship from Universidad de Salamanca.Peer reviewe

Neural network interpolation of the magnetic field for the LISA Pathfinder Diagnostics Subsystem

LISA Pathfinder is a science and technology demonstrator of the European Space Agency within the framework of its LISA mission, which aims to be the first space-borne gravitational wave observatory. The payload of LISA Pathfinder is the so-called LISA Technology Package, which is designed to measure relative accelerations between two test masses in nominal free fall. Its disturbances are monitored and dealt by the diagnostics subsystem. This subsystem consists of several modules, and one of these is the magnetic diagnostics system, which includes a set of four tri-axial fluxgate magnetometers, intended to measure with high precision the magnetic field at the positions of the test masses. However, since the magnetometers are located far from the positions of the test masses, the magnetic field at their positions must be interpolated. It has been recently shown that because there are not enough magnetic channels, classical interpolation methods fail to derive reliable measurements at the positions of the test masses, while neural network interpolation can provide the required measurements at the desired accuracy. In this paper we expand these studies and we assess the reliability and robustness of the neural network interpolation scheme for variations of the locations and possible offsets of the magnetometers, as well as for changes in environmental conditions. We find that neural networks are robust enough to derive accurate measurements of the magnetic field at the positions of the test masses in most circumstances