Who is afraid of the big bad ban? An evaluation of the effects of the Spanish clean air law on expenditure at hospitality venues

Background:In January 2011 Spain modified clean air legislation in force since 2006, removing all existing exceptions applicable to hospitality venues. Although this legal reform was backed by all political parties with parliamentary representation, the government's initiative was contested by the tobacco industry and its allies in the hospitality industry. One of the most voiced arguments against the reform was its potentially disruptive effect on the revenue of hospitality venues. This paper evaluates the impact of this reform on household expenditure at restaurants and bars and cafeterias. Methods and empirical strategy:We use micro-data from the Encuesta de Presupuestos Familiares (EPF) for years 2006 to 2012 to estimate "two part" models where the probability of observing a positive expenditure and, for those who spend, the expected level of expenditure are functions of an array of explanatory variables. We apply a before-after analysis with a wide range of controls for confounding factors and a flexible modeling of time effects.Results:In line with the majority of studies that analyze the effects of smoking bans using objective data, our results suggest that the reform did not cause reductions in households' expenditures on restaurant services or on bars and cafeteria services.

Partisan targeting of inter-governmental transfers & state interference in local elections: evidence from Spain

[spa] En este trabajo examinamos si, en la asignación de transferencias, los gobernantes regionales discriminan a favor de los gobiernos locales controlados por el mismo partido político, y si las perspectivas electorales de los gobiernos locales mejoran si están políticamente alineados con el gobierno regional. Con una nueva base de datos que considera 3.000 municipios españoles durante el período 2000-07 y un diseño de discontinuidad en la regresión, documentamos un efecto robusto de importante magnitud: en elecciones ajustadas, los municipios alineados con el gobierno regional reciben, en media, un 83% más de transferencias per cápita y su gobernante obtiene un 10% más de votos en las elecciones locales. También demostramos que el efecto de la alineación política es mayor: (i) si las elecciones regionales y locales se celebran el mismo día, (ii) en regiones donde las elecciones regionales son menos competidas, y (iii) en regiones con más recursos presupuestarios.

Partisan targeting of inter-governmental transfers & state interference in local elections: evidence from Spain

[spa] En este trabajo examinamos si, en la asignación de transferencias, los gobernantes regionales discriminan a favor de los gobiernos locales controlados por el mismo partido político, y si las perspectivas electorales de los gobiernos locales mejoran si están políticamente alineados con el gobierno regional. Con una nueva base de datos que considera 3.000 municipios españoles durante el período 2000-07 y un diseño de discontinuidad en la regresión, documentamos un efecto robusto de importante magnitud: en elecciones ajustadas, los municipios alineados con el gobierno regional reciben, en media, un 83% más de transferencias per cápita y su gobernante obtiene un 10% más de votos en las elecciones locales. También demostramos que el efecto de la alineación política es mayor: (i) si las elecciones regionales y locales se celebran el mismo día, (ii) en regiones donde las elecciones regionales son menos competidas, y (iii) en regiones con más recursos presupuestarios.

Position Document on the UN Secretary General's Report In Larger Freedom

Aquest document és el resultat de contrastar el “know-how” dels nostres projectes relacionats amb els temes tractats pel Secretari General de l’ONU, Kofi Annan.

Position Document of the Secretariat on System-Wide Coherence in the context of UN Reform Processes

The present document should be seen as one more contribution to the debate to the reform processes and a small guide to these processes and their latest outcomes.

On wideband deconvolution using wavelet transform

A discussion on the expression proposed in [1]–[3]for deconvolving the wideband density function is presented. Weprove here that such an expression reduces to be proportionalto the wideband correlation receiver output, or continuous wavelettransform of the received signal with respect to the transmittedone. Moreover, we show that the same result has been implicitlyassumed in [1], when the deconvolution equation is derived. Westress the fact that the analyzed approach is just the orthogonalprojection of the density function onto the image of the wavelettransform with respect to the transmitted signal. Consequently,the approach can be considered a good representation of thedensity function only under the prior knowledge that the densityfunction belongs to such a subspace. The choice of the transmittedsignal is thus crucial to this approach.

Positive time-frequency distributions based on joint marginal constraints

This correspondence studies the formulation of members ofthe Cohen-Posch class of positive time-frequency energy distributions.Minimization of cross-entropy measures with respect to different priorsand the case of no prior or maximum entropy were considered. It isconcluded that, in general, the information provided by the classicalmarginal constraints is very limited, and thus, the final distributionheavily depends on the prior distribution. To overcome this limitation,joint time and frequency marginals are derived based on a "directioninvariance" criterion on the time-frequency plane that are directly relatedto the fractional Fourier transform.

Univariate versus multivariate modeling of panel data

Panel data can be arranged into a matrix in two ways, called 'long' and 'wide' formats (LFand WF). The two formats suggest two alternative model approaches for analyzing paneldata: (i) univariate regression with varying intercept; and (ii) multivariate regression withlatent variables (a particular case of structural equation model, SEM). The present papercompares the two approaches showing in which circumstances they yield equivalent?insome cases, even numerically equal?results. We show that the univariate approach givesresults equivalent to the multivariate approach when restrictions of time invariance (inthe paper, the TI assumption) are imposed on the parameters of the multivariate model.It is shown that the restrictions implicit in the univariate approach can be assessed bychi-square difference testing of two nested multivariate models. In addition, commontests encountered in the econometric analysis of panel data, such as the Hausman test, areshown to have an equivalent representation as chi-square difference tests. Commonalitiesand differences between the univariate and multivariate approaches are illustrated usingan empirical panel data set of firms' profitability as well as a simulated panel data.

Scene representation for object monitoring

In robotics, having a 3D representation of the environment where a robot is working can be very useful. In real-life scenarios, this environment is constantly changing for example by human interaction, external agents or by the robot itself. Thus, the representation needs to be constantly updated and extended to account for these dynamic scene changes. In this work we face the problem of representing the scene where a robot is acting. Moreover, we ought to improve this representation by reusing the information obtained in previous scenes. Our goal is to build a method to represent a scene and to update it while changes are produced. In order to achieve that, different aspects of computer vision such as space representation or feature tracking are discussed

Representació de grans escenes urbanes emprant jerarquies d'impostors en relleu

Relief Mapping is giving great results for the creation of 3D impostor models. An impostor model is a simplication of an original geometric model that is used to replace it. Then, the original volume can be reproduced in a high quality representation with very few artifacts or cracks and a high compactness. We have studied the state of the art on Relief Impostors and some current techniques related to them. In particular, we have implemented the Omni-directional Relief Impostors (ORI) technique and its hierarchical extension (HORI), througn the usage of spatial partition methods. We expose an alternative to the spatial distribution and selection of the impostors. Furthermore, we show a different computation for the rendering view distance in order to guarantee a minimal quality for the simplified representation. Finally, we discuss the obtained results and propose some new ideas or approaches to enhance the efficiency and quality of the final rendering using ORIs' and HORIs' techniques. In addition, our implementation has involved a software engineering study in the Open Source field.

Geografías familiares bajo la dictadura franquista: exilio, clandestinidad, prisión

Este texto ahonda en las geografías políticas, sociales y familiares de Aurèlia Pijoan, la primera mujer que, médico de profesión, ha accedido a un cargo de representación municipal en Lleida. Casada con Luis Pérez García-Lago –secretario general del PSUC y la UGT en la Lleida de los años trenta y posteriormente máximo responsable del partido en el exilio mejicano-, continuó su compromiso a través de la Unión de Mujeres Españolas de México de la que llegó a convertirse en secretaria general. El artículo pretende, a la vez que reflexionar sobre el diálogo que se establece entre recuerdo y olvido, hacer visible la historia de los sin historia a partir de un centro de gravedad concreto, puesto que los itinerarios personales y familiares de Aurèlia Pijoan permiten recorrer las diversas caras del universo represivo franquista: exilio,clandestinidad y prisión.

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.

Semantics-supported cooperative learning for enhanced awareness

Awareness is required for supporting all forms of cooperation. In Computer Supported Collaborative Learning (CSCL), awareness can be used for enhancing collaborative opportunities across physical distances and in computer-mediated environments. Shared Knowledge Awareness (SKA) intends to increase the perception about the shared knowledge, students have in a collaborative learning scenario and also concerns the understanding that this group has about it. However, it is very difficult to produce accurate awareness indicators based on informal message exchange among the participants. Therefore, we propose a semantic system for cooperation that makes use of formal methods for knowledge representation based on semantic web technologies. From these semantics-enhanced repository and messages, it could be easier to compute more accurate awareness.

A web ontologies framework for digital rights management

In order to improve the management of copyright in the Internet, known as Digital Rights Management, there is the need for a shared language for copyright representation. Current approaches are based on purely syntactic solutions, i.e. a grammar that defines a rights expression language. These languages are difficult to put into practise due to the lack of explicit semantics that facilitate its implementation. Moreover, they are simple from the legal point of view because they are intended just to model the usage licenses granted by content providers to end-users. Thus, they ignore the copyright framework that lies behind and the whole value chain from creators to end-users. Our proposal is to use a semantic approach based on semantic web ontologies. We detail the development of a copyright ontology in order to put this approach into practice. It models the copyright core concepts for creation, rights and the basic kinds of actions that operate on content. Altogether, it allows building a copyright framework for the complete value chain. The set of actions operating on content are our smaller building blocks in order to cope with the complexity of copyright value chains and statements and, at the same time, guarantee a high level of interoperability and evolvability. The resulting copyright modelling framework is flexible and complete enough to model many copyright scenarios, not just those related to the economic exploitation of content. The ontology also includes moral rights, so it is possible to model this kind of situations as it is shown in the included example model for a withdrawal scenario. Finally, the ontology design and the selection of tools result in a straightforward implementation. Description Logic reasoners are used for license checking and retrieval. Rights are modelled as classes of actions, action patterns are modelled also as classes and the same is done for concrete actions. Then, to check if some right or license grants an action is reduced to check for class subsumption, which is a direct functionality of these reasoners.

Personality and job stress: a comparison of direct effects on parenting

The impact of personality and job characteristics on parental rearing styles was compared in 353 employees. Hypotheses concerning the relationships between personality and job variables were formulated in accordance with findings in past research and the Belsky’s model (1984). Structural equation nested models showed that Aggression-hostility, Sociability and job Demand were predictive of Rejection and Emotional Warmth parenting styles, providing support for some of the hypothesized relationships. The findings suggest a well-balanced association of personality variables with both parenting styles: Aggression-Hostility was positively related to Rejection and negatively to Emotional Warmth, whereas Sociability was positively related to Emotional Warmth and negatively related to Rejection. Personality dimensions explained a higher amount of variance in observed parenting styles. However, a model that considered both, personality and job dimensions as antecedent variables of parenting was the best representation of observed data, as both systems play a role in the prediction of parenting behavior.