Report of the Project Maths Implementation Group

Ireland's future economic growth and competitiveness will increasingly depend on the extent to which it can support high value knowledge based industries. Mathematics is essential for disciplines such as science, technology, engineering and finance, but it also promotes the ability to think rationally, analyse and solve problems, and process data clearly and accurately. In a globalised competitive economy it is important that Ireland moves beyond being “average” at mathematics towards the promotion of advanced levels of skills, creativity and innovation. We urgently need to improve attainment levels in mathematics generally and to encourage more students to take Higher Level Mathematics. In addition, mathematics is an essential life skill for citizenship and economic and social participation in an increasingly complex world.

ARB v.1.0 Gestió del Coneixement amb J2EE

Amb aquest projecte s'ha portat a terme la planificació i el desenvolupament d'una aplicació web amb tecnologia J2EE. Es tracta d'un sistema que s'assimila a una eina de gestió de coneixement, ja que permet l'emmagatzematge de dades i coneixement en estructures arborescents. Posteriorment es pot accedir a aquest coneixement molt fàcilment, de manera que persones amb poca o nul·la formació en la matèria poden diagnosticar i, fins i tot, resoldre problemes relacionats amb la temàtica de la informació emmagatzemada.

Religious identity and intercultural dialogue

(Résumé de l'ouvrage) In a world society ruled by economic globalisation, by political interests and theories such as Huntington's «clash of civilisations» that widen the gap between the North and the South, the question should be asked of the role of the religion. To what extent religion and politics can work together? Can faith still be thought as a means of saving the world? Considering that Christianity, Islam and Judaism have much in common, this collection of miscellanies wonders if these religions can join their forces for public benefit. Senior and junior scholars from all over the world, gathered for an interdisciplinary seminar, analyse the contemporary international relationships and geopolitics through the prism of religion, discussing whether it can provide practical solutions to solve conflicts and increase the respect of human rights.

Bien commun, conflits d'intérêts et délibération éthique

Si La notion de Bien commun paraît de prime abord trop ambitieuse, trompeuse en ses promesses excessives et inaccessibles, elle est néanmoins nécessaire au débat éthique dans l'espace public contemporain. Dans cette contribution, nous voudrions montrer comment une compréhension critique de la notion controversée de Bien commun peut s'avérer compatible avec une prise en compte réaliste et responsable des conflits d'intérêts et de la délibération éthique. L'exemple du débat français sur la laïcité permet à cet égard de comprendre la nécessité de dépasser l'opposition stérile entre un communautarisme poussé à l'extrême et un universalisme vidé de sa pertinence historique et dialectique. If, at the first look, the notion of the common Good seems too ambitious, making excessive and unaccessible promises, it is nevertheless necessary to use it in the ethical public discussion. This paper aims to show that a critical understanding of this controversial idea of the common Good may help to solve some conflicts of interests. The example of the french debate on laicity should help us to overcome the fallacious opposition between extreme communitarianism and abstract universalism.

"I'll look it up on the Web first": barriers and overcoming barriers to consult for sexual dysfunction among young men.

QUESTIONS UNDER STUDY: Our aim was to identify the barriers young men face to consult a health professional when they encounter sexual dysfunctions and where they turn to, if so, for answers. METHODS: We conducted an exploratory qualitative research including 12 young men aged 16-20 years old seen in two focus groups. Discussions were triggered through vignettes about sexual dysfunction. RESULTS: Young men preferred not to talk about sexual dysfunction problems with anyone and to solve them alone as it is considered an intimate and embarrassing subject which can negatively impact their masculinity. Confidentiality appeared to be the most important criterion in disclosing an intimate subject to a health professional. Participants raised the problem of males' accessibility to services and lack of reason to consult. Two criteria to address the problem were if it was long-lasting or considered as physical. The Internet was unanimously considered as an initial solution to solve a problem, which could guide them to a face-to-face consultation if necessary. CONCLUSIONS: Results suggest that Internet-based tools should be developed to become an easy access door to sexual health services for young men. Wherever they consult and for whatever problem, sexual health must be on the agenda.

BCN­Routing : càlcul web de rutes amb pgRouting, OpenStreetMap i OpenLayers

En aquest projecte s'ha desenvolupat una interfície web per calcular rutes a la ciutat de Barcelona. Les rutes calculades són a peu, entre un punt d'origen qualsevol i un punt d'interès turístic de la ciutat com a destí. Per això s'han extret les dades dels carrers de Barcelona d'OpenStreetMap i s'han insertat a una base de dades postgreSQL/postGIS, juntament amb una capa vectorial de punts d'interès turístic que s'ha creat amb el SIG d'escriptori qGIS. El càlcul de les rutes amb les dades de la base de dades s'ha realitzat amb l'extensió pgRouting, i la interfície web per seleccionar els punts d'origen i destí, mostrar els mapes, i mostrar les rutes resultat, s'ha desenvolupat utilitzant la llibreria OpenLayers.

Disseny d'un marc de treball de presentació per a aplicacions J2EE

Realització d'un marc de treball per a solucionar part de la problemàtica associada a la capa de presentació.

Reaction to novelty and spatial orientation in ALPHA1B(-/-) KO mice

Knockout mice lacking alphalb noradrenergic receptors were tested in behavioural experiments to test a possible effect of the absence of this receptor in reaction to novelty and spatial orientation. Reaction to novelty was tested in two experiments. In the first one the mice' latency to exit the first part of a two compartment set-up was measured. The knockout mice were faster to emerge then their littermate controls. Then they were tested in an open-field, in which new objects were added at the second trial. In the open-field without objects (first trial), the knockout mice showed a greater locomotor activity (path length). Then the same mice showed enhanced exploration of the newly introduced objects, relative to the control. The spatial orientation experiments were done on a homing board and in the water maze. The homing board did not yield a significant difference between the knock-out and the control mice. Both groups showed impaired results when the proximal (olfactory) and distal (visual) cues were disrupted by the rotation of the table. In the water maze however, the alphalb(-/-) mice were unable to solve the task (acquisition and retention), whereas the control mice showed a good acquisition and retention behaviour. The knockout mice' incapacity to learn to reach the submerged platform was not due to an incapacity to swim, as they were as good as their control littermates to reach the platform when it was visible.

Mejora diagnóstica de hepatopatías de afectación difusa mediante técnicas de inteligencia artificial

The automatic diagnostic discrimination is an application of artificial intelligence techniques that can solve clinical cases based on imaging. Diffuse liver diseases are diseases of wide prominence in the population and insidious course, yet early in its progression. Early and effective diagnosis is necessary because many of these diseases progress to cirrhosis and liver cancer. The usual technique of choice for accurate diagnosis is liver biopsy, an invasive and not without incompatibilities one. It is proposed in this project an alternative non-invasive and free of contraindications method based on liver ultrasonography. The images are digitized and then analyzed using statistical techniques and analysis of texture. The results are validated from the pathology report. Finally, we apply artificial intelligence techniques as Fuzzy k-Means or Support Vector Machines and compare its significance to the analysis Statistics and the report of the clinician. The results show that this technique is significantly valid and a promising alternative as a noninvasive diagnostic chronic liver disease from diffuse involvement. Artificial Intelligence classifying techniques significantly improve the diagnosing discrimination compared to other statistics.

Uso de ODR en las comunidades de desarrollo de software libre

La revolució del programari lliure ha estat i és un dels fenòmens més imprevisibles i de major abast que han sorgit des del desenvolupament de les Tecnologies de la Informació. No obstant això és un fenomen que, a causa de pròpia construcció social i distribuïda, està intrínsecament unit a la noció de conflicte, la manifestació del qual més notòria és la bifurcació o fork. En el present treball analitzem els diferents tipus de conflictes i els mecanismes habitualment emprats per a la resolució dels mateixos, i si formen part dels denominats mètodes alternatius de resolució de controvèrsies en Línia o ODR o si són part d'una categoria diferent i separada.

Violence and Political Institutions in the Basque Country

A credible analysis or proposal to solve the problem of the treatment of violence in divided societies has to based in a good understanding of the micro-foundations of the political mobilization in these societies. Much of the engineering models seem to have been based on rather strong simplifications of the electoral behaviour of the citizens. This paper aims to contribute to the understanding of the underlying political competition in divided societies with a neo-downsian model of party competition that is based on the interpretation of Tsebelis (1991) of the consociationalism.

Using problem-based learning for introducing producer theory and market structure in intermediate microeconomics

This paper shows how instructors can use the problem‐based learning method to introduce producer theory and market structure in intermediate microeconomics courses. The paper proposes a framework where different decision problems are presented to students, who are asked to imagine that they are the managers of a firm who need to solve a problem in a particular business setting. In this setting, the instructors’ role isto provide both guidance to facilitate student learning and content knowledge on a just‐in‐time basis

An iterative Multiscale Finite-Volume algorithm converging to the exact solution

The multiscale finite volume (MsFV) method has been developed to efficiently solve large heterogeneous problems (elliptic or parabolic); it is usually employed for pressure equations and delivers conservative flux fields to be used in transport problems. The method essentially relies on the hypothesis that the (fine-scale) problem can be reasonably described by a set of local solutions coupled by a conservative global (coarse-scale) problem. In most cases, the boundary conditions assigned for the local problems are satisfactory and the approximate conservative fluxes provided by the method are accurate. In numerically challenging cases, however, a more accurate localization is required to obtain a good approximation of the fine-scale solution. In this paper we develop a procedure to iteratively improve the boundary conditions of the local problems. The algorithm relies on the data structure of the MsFV method and employs a Krylov-subspace projection method to obtain an unconditionally stable scheme and accelerate convergence. Two variants are considered: in the first, only the MsFV operator is used; in the second, the MsFV operator is combined in a two-step method with an operator derived from the problem solved to construct the conservative flux field. The resulting iterative MsFV algorithms allow arbitrary reduction of the solution error without compromising the construction of a conservative flux field, which is guaranteed at any iteration. Since it converges to the exact solution, the method can be regarded as a linear solver. In this context, the schemes proposed here can be viewed as preconditioned versions of the Generalized Minimal Residual method (GMRES), with a very peculiar characteristic that the residual on the coarse grid is zero at any iteration (thus conservative fluxes can be obtained).

Semi-online neural-Q_leaming for real-time robot learning

Reinforcement learning (RL) is a very suitable technique for robot learning, as it can learn in unknown environments and in real-time computation. The main difficulties in adapting classic RL algorithms to robotic systems are the generalization problem and the correct observation of the Markovian state. This paper attempts to solve the generalization problem by proposing the semi-online neural-Q_learning algorithm (SONQL). The algorithm uses the classic Q_learning technique with two modifications. First, a neural network (NN) approximates the Q_function allowing the use of continuous states and actions. Second, a database of the most representative learning samples accelerates and stabilizes the convergence. The term semi-online is referred to the fact that the algorithm uses the current but also past learning samples. However, the algorithm is able to learn in real-time while the robot is interacting with the environment. The paper shows simulated results with the "mountain-car" benchmark and, also, real results with an underwater robot in a target following behavior

An approach to vision-based station keeping for an unmanned underwater vehicle

This paper presents an automatic vision-based system for UUV station keeping. The vehicle is equipped with a down-looking camera, which provides images of the sea-floor. The station keeping system is based on a feature-based motion detection algorithm, which exploits standard correlation and explicit textural analysis to solve the correspondence problem. A visual map of the area surveyed by the vehicle is constructed to increase the flexibility of the system, allowing the vehicle to position itself when it has lost the reference image. The testing platform is the URIS underwater vehicle. Experimental results demonstrating the behavior of the system on a real environment are presented