Ramon Carbó i la semblança molecular quàntica

Entrevista en Ramon Carbó-Dorca sobre la semblança molecular quantica

Emili Ros Rahola, gastroenteròleg

Entrevista a Emili Ros Rahola, gastroenteròleg gironí

Enric Canadell i la química teòrica

Entrevista a Enric Canadell, fisicoquímic gironí

Comiat al professor Lluis A. Santaló

Article de comiat al matemàtic gironí Lluís Antoni Santaló i Sors, que va morir a Buenos Aires el 22 de novembre de 2001

Networks of PhD Students and Academic Performance: A Comparison across Countries

In this article we compare regression models obtained to predict PhD students’ academic performance in the universities of Girona (Spain) and Slovenia. Explanatory variables are characteristics of PhD student’s research group understood as an egocentered social network, background and attitudinal characteristics of the PhD students and some characteristics of the supervisors. Academic performance was measured by the weighted number of publications. Two web questionnaires were designed, one for PhD students and one for their supervisors and other research group members. Most of the variables were easily comparable across universities due to the careful translation procedure and pre-tests. When direct comparison was not possible we created comparable indicators. We used a regression model in which the country was introduced as a dummy coded variable including all possible interaction effects. The optimal transformations of the main and interaction variables are discussed. Some differences between Slovenian and Girona universities emerge. Some variables like supervisor’s performance and motivation for autonomy prior to starting the PhD have the same positive effect on the PhD student’s performance in both countries. On the other hand, variables like too close supervision by the supervisor and having children have a negative influence in both countries. However, we find differences between countries when we observe the motivation for research prior to starting the PhD which increases performance in Slovenia but not in Girona. As regards network variables, frequency of supervisor advice increases performance in Slovenia and decreases it in Girona. The negative effect in Girona could be explained by the fact that additional contacts of the PhD student with his/her supervisor might indicate a higher workload in addition to or instead of a better advice about the dissertation. The number of external student’s advice relationships and social support mean contact intensity are not significant in Girona, but they have a negative effect in Slovenia. We might explain the negative effect of external advice relationships in Slovenia by saying that a lot of external advice may actually result from a lack of the more relevant internal advice

Tecnologia: el factor temps

Conjunt d'articles amb anàlisis i reflexions sobre el factor temps l'àmbit de la tècnica des de diferents punts de vista

Presentació: qualitat d'ensenyament i finançament

Presentació a càrrec del director de l'Escola Politècnica superior sobre la nova ordenació dels ensenyaments universitaris i l’assoliment dels objectius de la declaració de Bolonya

Creando valor a través de las TIC: nuevos intermediarios

Este trabajo analiza cómo se puede crear valor a través del uso de las TIC. Para ello se utiliza el Modelo de creación de valor en e-business desarrollado por Amit y Zott (2001) y se aplica a una tipología de nuevos intermediarios que opera en el sector de los contenidos digitales: gregadores de noticias. Para lograr este objetivo, se ha realizado un estudio exploratorio y un estudio de casos a través de entrevistas personales con informadores estratégicos y un análisis del contenido de las páginas web de 56 empresas relacionadas con el sector y cuestionarios, principalmente Se han analizado empresas de EEUU, Canadá, España, Francia, Alemania, Reino Unido y Suiza

La universidad del futuro: impacto de las tecnologias de la información

Article que comenta alguns aspectes relacionats amb les universitats virtuals del futur i que afecten no només als estudiants i al personal docent sinó també als administradors dels pressupostos universitaris

Conversa a Utopia

Joan Manuel del Pozo acaba de publicar la primera traducció catalana directa d’Utopia. Apareguda per primer cop en llatí el 1516, és l’obra més destacable de l’humanista anglès Tomas More, decapitat per protestar contra la pretensió d’Enric VIII d’envair un espai de poder que fins aleshores li havia estat aliè: l’espiritual. Utopia és una illa, i More la va imaginar com un paradís de tolerància religiosa, on no faltava la feina ni els recursos per a tothom. Amb el pretext de l’edició del llibre, Engega ha convidat el filòsof Joan Manuel del Pozo, el químic Miquel Costas i la doctora en Medicina Marta Aymerich, a mantenir una conversa gens utòpica, que us presentem a continuació

Anna Maria Geli: "La Universitat és un servei públic i té l'obligació de retre comptes"

La revista Engega entrevista la Dra. Anna M. Geli, rectora de la Universitat de Girona

Perfils. Montserrat Tura

Montserrat Tura és consellera de Justícia de la Generalitat. Del 2003 al 2006, ho va ser d’Interior i, abans d’entrar al Govern, va ser alcaldessa de Mollet durant 16 anys. Destaca pel seu coratge i decisió a l’hora d’afrontar reptes polítics, per la seva capacitat de gestió i pel seu compromís ineludible amb la democràcia i el país. Ha estat present en la signatura del conveni de col·laboració entre la Càtedra de Cultura Jurídica de la UdG i el Consell General del Poder Judicial que ha tingut lloc a la Facultat de Dret

Colour image processing

In the context of the round table the following topics related to image colour processing will be discussed: historical point of view. Studies of Aguilonius, Gerritsen, Newton and Maxwell. CIE standard (Commission International de lpsilaEclaraige). Colour models. RGB, HIS, etc. Colour segmentation based on HSI model. Industrial applications. Summary and discussion. At the end, video images showing the robustness of colour in front of B/W images will be presented

Modeling and Classifying Breast Tissue Density in Mammograms

We present a new approach to model and classify breast parenchymal tissue. Given a mammogram, first, we will discover the distribution of the different tissue densities in an unsupervised manner, and second, we will use this tissue distribution to perform the classification. We achieve this using a classifier based on local descriptors and probabilistic Latent Semantic Analysis (pLSA), a generative model from the statistical text literature. We studied the influence of different descriptors like texture and SIFT features at the classification stage showing that textons outperform SIFT in all cases. Moreover we demonstrate that pLSA automatically extracts meaningful latent aspects generating a compact tissue representation based on their densities, useful for discriminating on mammogram classification. We show the results of tissue classification over the MIAS and DDSM datasets. We compare our method with approaches that classified these same datasets showing a better performance of our proposal

Object and Scene Classification: what does a Supervised Approach Provide us?

Given a set of images of scenes containing different object categories (e.g. grass, roads) our objective is to discover these objects in each image, and to use this object occurrences to perform a scene classification (e.g. beach scene, mountain scene). We achieve this by using a supervised learning algorithm able to learn with few images to facilitate the user task. We use a probabilistic model to recognise the objects and further we classify the scene based on their object occurrences. Experimental results are shown and evaluated to prove the validity of our proposal. Object recognition performance is compared to the approaches of He et al. (2004) and Marti et al. (2001) using their own datasets. Furthermore an unsupervised method is implemented in order to evaluate the advantages and disadvantages of our supervised classification approach versus an unsupervised one