Cosmology with running parameters

The experimental evidence that the equation of state (EOS) of the dark energy (DE) could be evolving with time/redshift (including the possibility that it might behave phantom-like near our time) suggests that there might be dynamical DE fields that could explain this behavior. We propose, instead, that a variable cosmological term (including perhaps a variable Newton's gravitational coupling too) may account in a natural way for all these features.Comment: Talk given at TAUP 2005, Zaragoza, Spain, 10-14 Sep 200

Sistema de información web para la aplicación de un Placement Test del idioma inglés para los estudiantes de primer semestre de la Universidad de Nariño

Las pruebas de nivel en Inglés son una estrategia para ubicar a un estudiante en un nivel particular del idioma; sin embargo, en la Universidad de Nariño no existía un mecanismo para llevar a cabo dicho proceso. Es por ello que se adecuó y se implementó la plataforma para realizar evaluaciones asistidas por computador Tao Testing usando la metodología Ingeniería Web (IWEB). La implementación se llevó a cabo como una prueba piloto con los estudiantes de primer semestre de la Universidad, notándose el mejoramiento, adecuación y desarrollo de la prueba de nivel coordinada por el departamento de Lingüística e Idiomas, permitiendo la ubicación de forma eficiente, confiable, adaptable y segura de cada estudiante a un nivel de inglés correspondiente a su conocimiento

The internationalisation of the Spanish SME sector

As part of a wider research program, we analysed the theoretical framework and the recent developments of the process of internationalisation (transnationalisation) of the small- and medium-sized enterprises in Spain. The paper highlights the main trends and barriers of this internationalisation process. Methodology included document analyses, interviews, and the analyses of statistical databases

Improving the predictive accuracy of production frontier models for efficiency measurement using machine learning:The LSB-MAFS method

Making accurate predictions of the true production frontier is critical for reliable efficiency analysis. However, canonical deterministic methods like Data Envelopment Analysis (DEA) provide approximations of the production frontier that cannot accommodate noise satisfactorily and suffer from overfitting. This study combines machine learning techniques known as Least Squares Boosting (LSB) and Multivariate Adaptive Regression Splines (MARS), to introduce a new methodology that improves the accuracy of production frontiers predictions and overcomes previous limitations. The new method fits pairwise regression splines to the data while ensuring that the predicted production frontiers satisfy certain the required regularity conditions: envelopmentness, monotonicity, and concavity. The method, termed LSB-MAFS, is implemented through computational algorithms, and we illustrate its applicability by performing simulations with several data generating processes. We also compare its performance against the most popular alternatives, considering both deterministic and stochastic scenarios: DEA, bootstrapped DEA, Corrected Concave Non-Parametric Least Squares (C2NLS) and Stochastic Frontier Analysis (SFA). The new method outperforms these alternatives in the most complex scenarios, including stochastic settings where parametric methods like SFA should perform better in principle. We conclude that our approach to production frontier prediction is a valid and competitive alternative for dependable efficiency analysis.</p

Performance evaluation of SiPM photodetectors for PET imaging in the presence of magnetic fields

The multi pixel photon counter (MPPC) or silicon photomultiplier (SiPM), recently introduced as a solid state photodetector, consists of an array of Geiger mode photodiodes (microcells). It is a promising device for PET due to its potential for high photon detection efficiency (PDE) and its foreseeable immunity to magnetic fields. It is also easy to use with simple read outs, has a high gain and a small size. In this work we evaluate the in field performance of three 1x1mm2 (with 100, 400 and 1600 microcells, respectively) and one 6x6mm2 (arranged as a 2x2 array) Hamamatsu MPPCs for their use in PET imaging. We examine the dependence of the energy resolution and the gain of these devices on the temperature and reverse bias voltage, when coupled to LYSO scintillator crystals under conditions that one would find in a PET system. We find that the 400 and 1600 microcells models and the 2x2 array are suitable for small size crystals, like those employed in high resolution small animal scanners. We have confirmed the good performance of these devices up to magnetic fields of 7 T as well as their suitability for performing PET acquisitions in the presence of fast switching gradients and high duty radiofrequency MRI sequencesThis work was supported in part by the CDTEAM project of the CENIT program, and by Ministerio de Ciencia e Innovacio´n under projects FPA2007 62216TEC2008 06715 C02 01, UCM (Grupos UCM; 910059), CPAN (Consolider Ingenio 2010) CSPD 2007 00042 projects, and project SENSORCZT S 0505/MAT/000279, Comunidad de Madrid. Part of the computations of this work were done at the ‘‘High Capacity Cluster for Physical Techniques’’ of UCM, funded in part by the UE under the FEDER program and in part by UCMPublicad