Meaning of the λ parameter of skew–normal and log–skew normal distributions in fluid geochemistry

The literature related to skew–normal distributions has grown rapidly in recent years but at the moment few applications concern the description of natural phenomena with this type of probability models, as well as the interpretation of their parameters. The skew–normal distributions family represents an extension of the normal family to which a parameter (λ) has been added to regulate the skewness. The development of this theoretical field has followed the general tendency in Statistics towards more flexible methods to represent features of the data, as adequately as possible, and to reduce unrealistic assumptions as the normality that underlies most methods of univariate and multivariate analysis. In this paper an investigation on the shape of the frequency distribution of the logratio ln(Cl−/Na+) whose components are related to waters composition for 26 wells, has been performed. Samples have been collected around the active center of Vulcano island (Aeolian archipelago, southern Italy) from 1977 up to now at time intervals of about six months. Data of the logratio have been tentatively modeled by evaluating the performance of the skew–normal model for each well. Values of the λ parameter have been compared by considering temperature and spatial position of the sampling points. Preliminary results indicate that changes in λ values can be related to the nature of environmental processes affecting the data

Towards economic and monetary union: changing trends in payment systems for new european members

The objective of this paper is precisely to study the evolution of payment systems within the accession countries between 1996 and 2003 and compare them with those of the E.U. and the Eurozone countries

Earth's Changing Land

Entre el 14 i el 18 de març de 1998 es va celebrar a Barcelona la conferència Earth’s Changing Land sota la tutela dels programes internacionals Global Change in Terrestrial Ecosystems (GCTE) i Land Use and Land Cover Change (LUCC). L’objectiu principal de la trobada era presentar les darreres aportacions científiques sobre els efectes presents i previsibles del canvi global sobre els ecosistemes terrestres i la societat. Al mateix temps, es volia afavorir l’establiment de ponts de diàleg entre els professionals implicats en el canvi global

Fault diagnosis by refining the parameter uncertainty space of nonlinear dynamic systems

This paper deals with fault detection and isolation problems for nonlinear dynamic systems. Both problems are stated as constraint satisfaction problems (CSP) and solved using consistency techniques. The main contribution is the isolation method based on consistency techniques and uncertainty space refining of interval parameters. The major advantage of this method is that the isolation speed is fast even taking into account uncertainty in parameters, measurements, and model errors. Interval calculations bring independence from the assumption of monotony considered by several approaches for fault isolation which are based on observers. An application to a well known alcoholic fermentation process model is presented

L'autocontrol en el procés d'abandonament de la conducta de fumar

En el marc del model transteòric de canvi (Prochaska, DiClemente i Norcross, 1992) i del model de l'autocontrol (Rachlin, 1989), s'examinen les característiques de la conducta de fumar així com la percepció de la magnitud i la demora de les conseqüències positives i negatives d'aquest consum, a fi de conèixer la seva relació amb l'etapa de canvi en la cessació tabàquica. Amb aquest objectiu s'entrevista a una mostra representativa de 281 membres (54,8% homes i 45,2% dones; mitjana d'edat = 37,26 anys, DT = 8,77; 48,8% no fumadors, 27,4% fumadors i 23,8% exfumadors) del personal acadèmic i d'administració i serveis de la Universitat de Girona. Els resultats mostren que més de la meitat dels fumadors es troben a l'etapa de Precontemplació (sense intenció ferma d'abandonar el consum de tabac en els propers 6 mesos) i la majoria d'exfumadors se situen a l'etapa de Manteniment (mínim de sis mesos sense fumar). També s'observen diferències en algunes de les variables examinades segons l'etapa de canvi de manera que els fumadors en Contemplació-Preparació (amb intenció ferma d'abandonar el consum de tabac en els propers 6 mesos) presenten un elevat índex de perjudicis percebuts, informen d'haver rebut més consell mèdic i realitzen amb major freqüència inhalacions a cada cigarreta. En canvi, els fumadors en Precontemplació són els qui més responen consumir tabac baix en nicotina mentre que els exfumadors en Acció o Manteniment són els qui més tendeixen a relacionar de manera immediata fumar i les seves conseqüències negatives a curt i mitjà termini, i els qui presenten major puntuació en l'índex de beneficis percebuts. Aquestes dades corroboren la importància de les intervencions clíniques específiques en les diferents etapes de l'abandonament del consum de tabac, suggereixen que les campanyes preventives s'haurien de focalitzar preferentment en les conseqüències negatives immediates de fumar i apunten a la conveniència de tenir en compte la notable valoració positiva dels beneficis de fumar per part dels exfumadors en els programes de prevenció de recaigudes. Així mateix, la constatació del poder explicatiu de la variable demora en la diferenciació dels subjectes en funció de l'etapa de canvi, planteja la conveniència d'incloure aquesta variable en les avaluacions dels pros i contres de fumar a fi de conèixer amb major precisió els seus pesos relatius.

Studies of dynamics of physical agent ecosystems

This thesis addresses the problem of learning in physical heterogeneous multi-agent systems (MAS) and the analysis of the benefits of using heterogeneous MAS with respect to homogeneous ones. An algorithm is developed for this task; building on a previous work on stability in distributed systems by Tad Hogg and Bernardo Huberman, and combining two phenomena observed in natural systems, task partition and hierarchical dominance. This algorithm is devised for allowing agents to learn which are the best tasks to perform on the basis of each agent's skills and the contribution to the team global performance. Agents learn by interacting with the environment and other teammates, and get rewards from the result of the actions they perform. This algorithm is specially designed for problems where all robots have to co-operate and work simultaneously towards the same goal. One example of such a problem is role distribution in a team of heterogeneous robots that form a soccer team, where all members take decisions and co-operate simultaneously. Soccer offers the possibility of conducting research in MAS, where co-operation plays a very important role in a dynamical and changing environment. For these reasons and the experience of the University of Girona in this domain, soccer has been selected as the test-bed for this research. In the case of soccer, tasks are grouped by means of roles. One of the most interesting features of this algorithm is that it endows MAS with a high adaptability to changes in the environment. It allows the team to perform their tasks, while adapting to the environment. This is studied in several cases, for changes in the environment and in the robot's body. Other features are also analysed, especially a parameter that defines the fitness (biological concept) of each agent in the system, which contributes to performance and team adaptability. The algorithm is applied later to allow agents to learn in teams of homogeneous and heterogeneous robots which roles they have to select, in order to maximise team performance. The teams are compared and the performance is evaluated in the games against three hand-coded teams and against the different homogeneous and heterogeneous teams built in this thesis. This section focuses on the analysis of performance and task partition, in order to study the benefits of heterogeneity in physical MAS. In order to study heterogeneity from a rigorous point of view, a diversity measure is developed building on the hierarchic social entropy defined by Tucker Balch. This is adapted to quantify physical diversity in robot teams. This tool presents very interesting features, as it can be used in the future to design heterogeneous teams on the basis of the knowledge on other teams.