Process Asset Library based on Knowledge Management Techniques

Software Engineering Lab is a research center at Carlos III University of Madrid (Spain) that is developing a Process Asset Library (PAL) including concepts about Knowledge Management in order to contribute to generate, acquire, share and distribute knowledge of processes defined in the organization for developing software projects. The technology minimizes the risk of losing essential knowledge to meet goals. It is searching technical collaboration for this project

Methodological Framework for implementing and evaluating Living Labs

A Living Lab constitutes a research approach for innovation that challenges the whole research and innovation process in real-life conditions by human, social, cultural, organizational and institutional aspects having an impact on sustainable service, business and technology development. In this sense, Living Labs are experimentation and validation environments characterized by the early involvement of user communities, closely working together with developers and other stakeholders, and driving rapid cycles of ICT-based innovations. There is a lack of formalized methods for implementing and evaluating Living Labs regarding how Living labs act as innovation environments and what is the impact of such Living labs in creating value for users, stakeholders in the setting where they are established. This methodological framework contributes to the determination of the following issues: • Determine and disseminate the efficient practices for creating and implementing Living Labs. • Determine and assess the relative progress and impacts of living labs and understand the determining factors and processes. • Understand how LL influence their rural and regional environments • Understand the different development patterns of Living Labs and understand the determining factors • Assess the performance of the Living labs as innovation methodolog

On the Quantitative Effects of Unconventional Monetary Policies

I use a unique micro price data to estimate the pass-through from commodity prices to retail prices in several countries. The paper presents and develops a simple methodology to estimate the pass-through from the prices of different commodities into various sectors across several countries. This is the first exercise of this type. As expected, countries respond differently to the different shocks; and sectors respond differently across countries and commodities. A third of all the explained variation is driven by sectoral characteristics, which is a dimension mostly disregarded by the literature.

La misión cultural de la biblioteca universitaria

The cultural commitment of the academic librar

Evaluating the more suitable ISM frequency band for iot-based smart grids: a quantitative study of 915 MHz vs. 2400 MHz

IoT has begun to be employed pervasively in industrial environments and critical infrastructures thanks to its positive impact on performance and efficiency. Among these environments, the Smart Grid (SG) excels as the perfect host for this technology, mainly due to its potential to become the motor of the rest of electrically-dependent infrastructures. To make this SG-oriented IoT cost-effective, most deployments employ unlicensed ISM bands, specifically the 2400 MHz one, due to its extended communication bandwidth in comparison with lower bands. This band has been extensively used for years by Wireless Sensor Networks (WSN) and Mobile Ad-hoc Networks (MANET), from which the IoT technologically inherits. However, this work questions and evaluates the suitability of such a "default" communication band in SG environments, compared with the 915 MHz ISM band. A comprehensive quantitative comparison of these bands has been accomplished in terms of: power consumption, average network delay, and packet reception rate. To allow such a study, a dual-band propagation model specifically designed for the SG has been derived, tested, and incorporated into the well-known TOSSIM simulator. Simulation results reveal that only in the absence of other 2400 MHz interfering devices (such as WiFi or Bluetooth) or in small networks, is the 2400 MHz band the best option. In any other case, SG-oriented IoT quantitatively perform better if operating in the 915 MHz band.This research was supported by the MINECO/FEDER project grants TEC2013-47016-C2-2-R (COINS) and TEC2016-76465-C2-1-R (AIM). The authors would like to thank Juan Salvador Perez Madrid nd Domingo Meca (part of the Iberdrola staff) for the support provided during the realization of this work. Ruben M. Sandoval also thanks the Spanish MICINN for an FPU (REF FPU14/03424) pre-doctoral fellowship

Aerodynamic Optimization of High-Speed Trains Nose using a Genetic Algorithm and Artificial Neural Network

An aerodynamic optimization of the train aerodynamic characteristics in term of front wind action sensitivity is carried out in this paper. In particular, a genetic algorithm (GA) is used to perform a shape optimization study of a high-speed train nose. The nose is parametrically defined via Bézier Curves, including a wider range of geometries in the design space as possible optimal solutions. Using a GA, the main disadvantage to deal with is the large number of evaluations need before finding such optimal. Here it is proposed the use of metamodels to replace Navier-Stokes solver. Among all the posibilities, Rsponse Surface Models and Artificial Neural Networks (ANN) are considered. Best results of prediction and generalization are obtained with ANN and those are applied in GA code. The paper shows the feasibility of using GA in combination with ANN for this problem, and solutions achieved are included

Screening of Synergic Interactions of Anti-Angiogenic and Anti-Tumor Compounds

Solid cancers have several common characteristics that Hanahan & Weinberg named as the hallmarks of cancer. Angiogenesis is an essential hallmark of cancer because tumor cells need oxygen and nutrients delivered by the vascular system. In fact, tumor growth and metastasis are angiogenesis dependent, and microvascular endothelial cells recruited by tumors have become an important target in cancer therapy. Combinations of drugs with different modes of action may lead to enhanced antitumor and antiangiogenic effects without injuring the host. The combined use of two drugs may sometimes produce enhanced, unchanged or diminished effects in comparison with their individual effects. These three different types of behaviour of the interacting drugs are called synergy, additive/indifferent and antagonistic effects. In the present work, we analyze 105 paired combinations of 15 compounds, some described by our research group as potent antiangiogenic compounds, and others currently used in clinical therapy. Our results show synergistic effects of several paired combinations using the MTT assay. [Our experimental work is supported by grants BIO2014-56092-R (MINECO and FEDER), P12-CTS-1507 (Andalusian Government and FEDER) and funds from group BIO-267 (Andalusian Government). The "CIBER de Enfermedades Raras" is an initiative from the ISCIII (Spain)].This communication has the support of a travel grant "Universidad de Málaga.Campus de Excelencia Internacional Andalucía Tech".Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Minimal formulation of the linear spatial analysis of capillary jets: Validity of the two-mode approach

A rigorous and complete formulation of the linear evolution of harmonically stimulated capillary jets should include infinitely many spatial modes to account for arbitrary exit conditions [J. Guerrero et al., J. Fluid Mech. 702, 354 (2012)]. However, it is not rare to find works in which only the downstream capillary dominant mode, the sole unstable one, is retained, with amplitude determined by the jet deformation at the exit. This procedure constitutes an oversimplification, unable to handle a flow rate perturbation without jet deformation at the exit (the most usual conditions). In spite of its decaying behavior, the other capillary mode (subdominant) must be included in what can be called a “minimal linear formulation.” Deformation and mean axial velocity amplitudes at the jet exit are the two relevant parameters to simultaneously find the amplitudes of both capillary modes. Only once these amplitudes are found, the calculation of the breakup length may be eventually simplified by disregarding the subdominant mode. Simple recipes are provided for predicting the breakup length, which are checked against our own numerical simulations. The agreement is better than in previous attempts in the literature. Besides, the limits of validity of the linear formulation are explored in terms of the exit velocity amplitude, the wave number, the Weber number, and the Ohnesorge number. Including the subdominant mode extends the range of amplitudes for which the linear model gives accurate predictions, the criterion for keeping this mode being that the breakup time must be shorter than a given formula. It has been generally assumed that the shortest intact length happens for the stimulation frequency with the highest growth rate. However, we show that this correlation is not strict because the amplitude of the dominant mode has a role in the breakup process and it depends on the stimulation frequency.Ministerio de Economía, Industria y Competitividad, Spain, under Contract No. FIS2014-25161Junta de Andalucía under Contract No. P11-FQM-791

Dirac equation in exotic spacetimes

We find solutions of the Dirac equation in curved spacetime. In particular, we consider 1+1 dimensional sections of several exotic metrics: the Alcubierre metric, which describes a scenario that allows faster-than-light (FTL) velocity; the G\"odel metric, that describes a universe containing closed timelike curves (CTC); and the Kerr metric, which corresponds to the spacetime of a rotating black hole. Moreover, we also show that the techniques that we use in these cases can be extended to nonstatic metrics.Comment: 7 pages, 3 figure