Beyond 2015 - Governance

Postprint (published version)

An Adaptive Remeshing Procedure for Proximity Maneuvering Spacecraft Formations

We consider a methodology to optimally obtain reconfigurations of spacecraft formations. It is based on the discretization of the time interval in subintervals (called the mesh) and the obtainment of local solutions on them as a result of a variational method. Applied to a libration point orbit scenario, in this work we focus on how to find optimal meshes using an adaptive remeshing procedure and on the determination of the parameter that governs it

World Democratic Governance

The unsustainable politically speaking institutional bipolarisation and recent events in the world arena (11 September 2001, unilateralism and the illegal war brought against Iraq by the USA, failures and blockage of WTO negotiating rounds at Seattle and Cancun, merely rhetorical results from the latest UN summits in Monterrey and Johannesburg) only serves to show just how completely outdated the system of international institutions, born after the Second World War, has become.It is vital, then, for us to establish a new system of global democratic governance, and this entails, amongst other things, In-depth reform of the system of international institutions.

Probabilistic algorithms for blind adaptive multiuser detection

In this paper, two probabilistic adaptive algorithmsfor jointly detecting active users in a DS-CDMA system arereported. The first one, which is based on the theory of hiddenMarkov models (HMM’s) and the Baum–Wech (BW) algorithm,is proposed within the CDMA scenario and compared withthe second one, which is a previously developed Viterbi-basedalgorithm. Both techniques are completely blind in the sense thatno knowledge of the signatures, channel state information, ortraining sequences is required for any user. Once convergencehas been achieved, an estimate of the signature of each userconvolved with its physical channel response (CR) and estimateddata sequences are provided. This CR estimate can be used toswitch to any decision-directed (DD) adaptation scheme. Performanceof the algorithms is verified via simulations as well as onexperimental data obtained in an underwater acoustics (UWA)environment. In both cases, performance is found to be highlysatisfactory, showing the near–far resistance of the analyzed algorithms.

Statistical reference criteria for adaptive signal processing in digital communications

A general criterion for the design of adaptive systemsin digital communications called the statistical reference criterionis proposed. The criterion is based on imposition of the probabilitydensity function of the signal of interest at the outputof the adaptive system, with its application to the scenario ofhighly powerful interferers being the main focus of this paper.The knowledge of the pdf of the wanted signal is used as adiscriminator between signals so that interferers with differingdistributions are rejected by the algorithm. Its performance isstudied over a range of scenarios. Equations for gradient-basedcoefficient updates are derived, and the relationship with otherexisting algorithms like the minimum variance and the Wienercriterion are examined.

Identifying quantitative operation principles in metabolic pathways: a systematic method for searching feasible enzyme activity patterns leading to cellular adaptive responses

Background: Optimization methods allow designing changes in a system so that specific goals are attained. These techniques are fundamental for metabolic engineering. However, they are not directly applicable for investigating the evolution of metabolic adaptation to environmental changes. Although biological systems have evolved by natural selection and result in well-adapted systems, we can hardly expect that actual metabolic processes are at the theoretical optimum that could result from an optimization analysis. More likely, natural systems are to be found in a feasible region compatible with global physiological requirements. Results: We first present a new method for globally optimizing nonlinear models of metabolic pathways that are based on the Generalized Mass Action (GMA) representation. The optimization task is posed as a nonconvex nonlinear programming (NLP) problem that is solved by an outer- approximation algorithm. This method relies on solving iteratively reduced NLP slave subproblems and mixed-integer linear programming (MILP) master problems that provide valid upper and lower bounds, respectively, on the global solution to the original NLP. The capabilities of this method are illustrated through its application to the anaerobic fermentation pathway in Saccharomyces cerevisiae. We next introduce a method to identify the feasibility parametric regions that allow a system to meet a set of physiological constraints that can be represented in mathematical terms through algebraic equations. This technique is based on applying the outer-approximation based algorithm iteratively over a reduced search space in order to identify regions that contain feasible solutions to the problem and discard others in which no feasible solution exists. As an example, we characterize the feasible enzyme activity changes that are compatible with an appropriate adaptive response of yeast Saccharomyces cerevisiae to heat shock Conclusion: Our results show the utility of the suggested approach for investigating the evolution of adaptive responses to environmental changes. The proposed method can be used in other important applications such as the evaluation of parameter changes that are compatible with health and disease states.

Minimization of biosynthetic costs in adaptive gene expression responses of yeast to environmental changes

Yeast successfully adapts to an environmental stress by altering physiology and fine-tuning metabolism. This fine-tuning is achieved through regulation of both gene expression and protein activity, and it is shaped by various physiological requirements. Such requirements impose a sustained evolutionary pressure that ultimately selects a specific gene expression profile, generating a suitable adaptive response to each environmental change. Although some of the requirements are stress specific, it is likely that others are common to various situations. We hypothesize that an evolutionary pressure for minimizing biosynthetic costs might have left signatures in the physicochemical properties of proteins whose gene expression is fine-tuned during adaptive responses. To test this hypothesis we analyze existing yeast transcriptomic data for such responses and investigate how several properties of proteins correlate to changes in gene expression. Our results reveal signatures that are consistent with a selective pressure for economy in protein synthesis during adaptive response of yeast to various types of stress. These signatures differentiate two groups of adaptive responses with respect to how cells manage expenditure in protein biosynthesis. In one group, significant trends towards downregulation of large proteins and upregulation of small ones are observed. In the other group we find no such trends. These results are consistent with resource limitation being important in the evolution of the first group of stress responses.

The Impact of EU Membership on the Economic Governance of Spain

[spa] España no fue admitida en la Comunidad Económica Europea durante el régimen de Franco por razones políticas. Integrarse a la Comunidad Europea en enero de 1986 fue el último peldaño hacia la consolidación definitiva de la democracia en España y de la apertura de su economía.. Los resultados de los veinticinco años como miembro de la UE se han traducido en un impulso sin precedentes de modernización y progreso. España adoptó el “Acervo Comunitario” y recibió considerables beneficios de su integración a la Comunidad, eliminando barreras, siguiendo las políticas comunes, recibiendo fondos europeos y adoptando la moneda europea común. A partir de un nivel del 60% del promedio europeo de renta per capita en 1986, el nivel actual –incluso con la crisis que estalló en 2008- se sitúa en torno al 105 por ciento. Los últimos tres años han sido diferentes y difíciles como consecuencia de la severa crisis económica y financiera.En este contexto este trabajo analiza como los sucesivos gobiernos de España han organizado la gobernanza económica para adaptarla a los cambios cuantitativos y cualitativos que se han ido produciendo en la integración europea.

The Impact of EU Membership on the Economic Governance of Spain

[spa] España no fue admitida en la Comunidad Económica Europea durante el régimen de Franco por razones políticas. Integrarse a la Comunidad Europea en enero de 1986 fue el último peldaño hacia la consolidación definitiva de la democracia en España y de la apertura de su economía.. Los resultados de los veinticinco años como miembro de la UE se han traducido en un impulso sin precedentes de modernización y progreso. España adoptó el “Acervo Comunitario” y recibió considerables beneficios de su integración a la Comunidad, eliminando barreras, siguiendo las políticas comunes, recibiendo fondos europeos y adoptando la moneda europea común. A partir de un nivel del 60% del promedio europeo de renta per capita en 1986, el nivel actual –incluso con la crisis que estalló en 2008- se sitúa en torno al 105 por ciento. Los últimos tres años han sido diferentes y difíciles como consecuencia de la severa crisis económica y financiera.En este contexto este trabajo analiza como los sucesivos gobiernos de España han organizado la gobernanza económica para adaptarla a los cambios cuantitativos y cualitativos que se han ido produciendo en la integración europea.

Phase mask selection in wavefront coding systems: an adaptive approach

A method for optimizing the strength of a parametric phase mask for a wavefront coding imaging system is presented. The method is based on an optimization process that minimizes a proposed merit function. The goal is to achieve modulation transfer function invariance while quantitatively maintaining nal image delity. A parametric lter that copes with the noise present in the captured images is used to obtain the nal images, and this lter is optimized. The whole process results in optimum phase mask strength and optimal parameters for the restoration lter. The results for a particular optical system are presented and tested experimentally in the labo- ratory. The experimental results show good agreement with the simulations, indicating that the procedure is useful.

A Feedfordward Adaptive Controller to Reduce the Imaging Time of Large-Sized Biological Samples with a SPM-Based Multiprobe Station

The time required to image large samples is an important limiting factor in SPM-based systems. In multiprobe setups, especially when working with biological samples, this drawback can make impossible to conduct certain experiments. In this work, we present a feedfordward controller based on bang-bang and adaptive controls. The controls are based in the difference between the maximum speeds that can be used for imaging depending on the flatness of the sample zone. Topographic images of Escherichia coli bacteria samples were acquired using the implemented controllers. Results show that to go faster in the flat zones, rather than using a constant scanning speed for the whole image, speeds up the imaging process of large samples by up to a 4x factor.

Urban transport governance reform in Barcelona

The unusual mixed public-private structure of the urban bus market in the metropolitan area of Barcelona provides an interesting context in which to analyze the management challenges and opportunities of the partial privatization of public services. Initiatives used by the public regulator to promote competition for contracts, such as short term concessions to private contractors and the removal of entry barriers, have considerable potential for improving efficiency and quality. The growth in the share of routes managed by private firms in recent years shows that privatization is a credible threat that may well stimulate improved performance among public managers. The type of reform implemented in Barcelona is of interest to all metropolitan areas large enough to operate under constant returns to scale regimes, and suitable for potential concessions of routes in segregated areas inside the metropolitan area, so as not to miss out on the benefits of economies of density.

Risk Management or Uncertainty Governance? The Challenge of an Interdiscplinary Approach

Peer-reviewed