University and Network Society : research report (synthesis document)

Document de síntesi d'aquest estudi que analitza -seguint una metodologia quantitativa basada en una mostra representativa de 2.093 professors i 23.864 estudiants i reforçada amb elements qualitatius- la transició que es produeix en el sistema universitari públic català cap a un model més adaptat a les noves necessitats de la societat xarxa. Per a això, es posa especial èmfasi en l'anàlisi dels usos que es fa d'Internet (l'eina clau de la societat xarxa) en el món universitari i en les transformacions que es donen o es donaran com a conseqüència d'aquests usos.

Document Tècnic de l'Edificació i annexes : cobertes, lluernaris i claraboies

El document és una recopilació de tota una informació prèvia per tal derealitzar un Document Tècnic de l’Edificació que s’ha servit de guia de les actuals NTE(Normes Tecnològiques de l’Edificació), però sense posar en dubte les NTE ni substituir-les.Aquest DTE consisteix en refer la NTE-QLC-1973 (NormaTecnològica de l’Edificació – Cubiertas Lucernarios Claraboyas), que passaràanomenar-se DTE-CLC-CP / CLC-CT. (Document Tècnic de l’Edificació – CobertesLluernaris Claraboies – Claraboies de Catàleg / Claraboies Tubulars).El meu interès per la llum natural va fer que em decidís per triar el tema de lesClaraboies, i el meu estudi es base en les claraboies de catàleg, de les quals ja parlade l’actual NTE i, a més a més, el DTE incorpora un nou tipus de claraboia com són lestubulars

Document Tècnic Edificació: instal·lacions d'electricitat Baixa Tensió

El projecte es basa en una proposta de modificació d’una Norma Tecnològica d’Edificació sobre les instal•lacions elèctriques de baixa tensió del 1973, per tal de donar-li un caire més actual

Efectos de la aplicación de cenizas de caldera de biomasa en el modelo jerárquico de agregación de un suelo forestal bajo condiciones oceánicas

Se ha estudiado los efectos que tiene la aplicación de cenizas de caldera de biomasa, en el modelo jerárquico de agregación (Tisdall y Oades, 1982) y en la estabilización del C orgánico en un suelo forestal situado en la zona templada del País Vasco. Para ello, se aplicaron 3 tratamientos con diferentes dosis de ceniza en muestras de suelo tamizadas a 250 μm procedentes de un huerto semillero de pinus radiata. Estas muestras fueron incubadas durante 3 meses y fraccionadas los días 29, 44, 64, 78 y 92 con la intención de separar los macroagregados grandes (LMagg), de los macroagregados pequeños (Magg), microagregados (magg), limos (silt) y arcillas (clay). Todas las fracciones fueron analizadas para determinar su contenido en C orgánico. Los resultados mostraron que con la aplicación de cenizas, el modelo jerárquico de agregación de suelo se cumple para las fracciones LMagg, Magg y magg, pero no para la fracción silt. Además se ha observado que las cenizas promueven la formación de microagregados aumentado así la capacidad de secuestro de C del suelo, pero en cambio disminuye la proporción de macroagregados, hecho que podría acarrear una disminución en la calidad estructural del suelo.

Efectos de la aplicación de biochar en el modelo jerárquico de agregación de un suelo forestal bajo condiciones oceánicas

El objetivo del presente proyecto ha sido estudiar los efectos del biochar en el modelo jerárquico de agregación del suelo. Para estudiar estas propiedades se ha realizado una incubación de tres tratamientos de biochar Miscanthus (biochar 10t/ha (B10), 2t/ha (B2) y 10t/ha+Nitrógeno (BN), durante 91 días, realizando fraccionamientos en húmedo de las muestras los días 28, 43, 63, 77 y 91. En estos fraccionamientos se han separado las fracciones macroagregrado (LMagg+Magg), microagregados (magg), limos (Silt) y arcillas (Clay). Por último se determinó el C orgánico de todas las fracciones de los tratamientos obtenidos con el objeto de obtener información sobre el efecto que puede tener la aplicación del biochar sobre la estabilización de C en las fracciones del suelo. Los resultados obtenidos indican que con la aplicación de biochar, la teoría jerárquica de agregación propuesta por Tisdall y Oades (1982), no se cumple en la dinámica de agregación del suelo, si bien se puede observar una jerarquía en la estabilización del C orgánico en los macroagregados y microagregados. Además las dosis altas de biochar producen mayor cantidad de microagregados, favoreciendo el secuestro de C en el suelo. Por otro lado, con dosis altas de biochar se aprecia una disminución de la fracción de macroagregados, hecho que puede influir negativamente en la estructura del suelo.

Hierarchical categorisation of tags for delicious

In the scenario of social bookmarking, a user browsing the Web bookmarks web pages and assigns free-text labels (i.e., tags) to them according to their personal preferences. In this technical report, we approach one of the practical aspects when it comes to represent users' interests from their tagging activity, namely the categorization of tags into high-level categories of interest. The reason is that the representation of user profiles on the basis of the myriad of tags available on the Web is certainly unfeasible from various practical perspectives; mainly concerning the unavailability of data to reliably, accurately measure interests across such fine-grained categorisation, and, should the data be available, its overwhelming computational intractability. Motivated by this, our study presents the results of a categorization process whereby a collection of tags posted at Delicious #http://delicious.com# are classified into 200 subcategories of interest.

GeneID in "Drosophila"

GeneID is a program to predict genes in anonymous genomic sequences designed with a hierarchical structure. In the first step, splice sites, and start and stop codons are predicted and scored along the sequence using position weight matrices (PWMs). In the second step, exons are built from the sites. Exons are scored as the sum of the scores of the defining sites, plus the log-likelihood ratio of a Markov model for coding DNA. In the last step, from the set of predicted exons, the gene structure is assembled, maximizing the sum of the scores of the assembled exons. In this paper we describe the obtention of PWMs for sites, and the Markov model of coding DNA in Drosophila melanogaster. We also compare other models of coding DNA with the Markov model. Finally, we present and discuss the results obtained when GeneID is used to predict genes in the Adh region. These results show that the accuracy of GeneID predictions compares currently with that of other existing tools but that GeneID is likely to be more efficient in terms of speed and memory usage.

Drug Utilization Studies and Data Registries in Primary Care.

This article reviews the methodology of the studies on drug utilization with particular emphasis on primary care. Population based studies of drug inappropriateness can be done with microdata from Health Electronic Records and e-prescriptions. Multilevel models estimate the influence of factors affecting the appropriateness of drug prescription at different hierarchical levels: patient, doctor, health care organization and regulatory environment. Work by the GIUMAP suggest that patient characteristics are the most important factor in the appropriateness of prescriptions with significant effects at the general practicioner level.

Paral·lelització especulativa de programes sobre un clúster

Estudi sobre la millora de rendiment (en temps d’execució) al'algorisme de gràfics Fast Multipath Radiosity Using Hierarchical Subscenes gràcies a l’execució paral•lela especulada que ens permet obtenir el motor d'especulació per a clústers desenvolupat en el grup de recerca BCDS de la Universitat de Girona

Emotion and reason in everyday risk perception

Although research has documented the importance of emotion in risk perception, little is knownabout its prevalence in everyday life. Using the Experience Sampling Method, 94 part-timestudents were prompted at random via cellular telephones to report on mood state and threeemotions and to assess risk on thirty occasions during their working hours. The emotions valence, arousal, and dominance were measured using self-assessment manikins (Bradley &Lang, 1994). Hierarchical linear models (HLM) revealed that mood state and emotions explainedsignificant variance in risk perception. In addition, valence and arousal accounted for varianceover and above reason (measured by severity and possibility of risks). Six risks were reassessedin a post-experimental session and found to be lower than their real-time counterparts.The study demonstrates the feasibility and value of collecting representative samples of data withsimple technology. Evidence for the statistical consistency of the HLM estimates is provided inan Appendix.

A simple permutation test for clusteredness

Hierarchical clustering is a popular method for finding structure in multivariate data,resulting in a binary tree constructed on the particular objects of the study, usually samplingunits. The user faces the decision where to cut the binary tree in order to determine the numberof clusters to interpret and there are various ad hoc rules for arriving at a decision. A simplepermutation test is presented that diagnoses whether non-random levels of clustering are presentin the set of objects and, if so, indicates the specific level at which the tree can be cut. The test isvalidated against random matrices to verify the type I error probability and a power study isperformed on data sets with known clusteredness to study the type II error.

A multilevel analysis on the determinants of regional health care expenditure. A note

We apply a multilevel hierarchical model to explore whether anaggregation fallacy exists in estimating the income elasticity of healthexpenditure by ignoring the regional composition of national healthexpenditure figures. We use data for 110 regions in eight OECD countriesin 1997: Australia, Canada, France, Germany, Italy, Spain, Sweden andUnited Kingdom. In doing this we have tried to identify two sources ofrandom variation: within countries and between-countries. Our resultsshow that: 1- Variability between countries amounts to (SD) 0.5433, andjust 13% of that can be attributed to income elasticity and the remaining87% to autonomous health expenditure; 2- Within countries, variabilityamounts to (SD) 1.0249; and 3- The intra-class correlation is 0.5300. Weconclude that we have to take into account the degree of fiscaldecentralisation within countries in estimating income elasticity ofhealth expenditure. Two reasons lie behind this: a) where there isdecentralisation to the regions, policies aimed at emulating diversitytend to increase national health care expenditure; and b) without fiscaldecentralisation, central monitoring of finance tends to reduce regionaldiversity and therefore decrease national health expenditure.

Why England? Demand, growth and inequality during the Industrial Revolution

Why was England first? And why Europe? We present a probabilistic model that builds on big-push models by Murphy, Shleifer and Vishny (1989), combined with hierarchical preferences. The interaction of exogenous demographic factors (in particular the English low-pressure variant of the European marriage pattern)and redistributive institutions such as the old Poor Law combined to make an Industrial Revolution more likely. Essentially, industrialization is the result of having a critical mass of consumers that is rich enough to afford (potentially) mass-produced goods. Our model is then calibrated to match the main characteristics of the English economy in 1750 and the observed transition until 1850.This allows us to address explicitly one of the key features of the British IndustrialRevolution unearthed by economic historians over the last three decades the slowness of productivity and output change. In our calibration, we find that the probability of Britain industrializing is 5 times larger than France s. Contrary to the recent argument by Pomeranz, China in the 18th century had essentially no chance to industrialize at all. This difference is decomposed into a demographic and a policy component, with the former being far more important than the latter.

Forecasting and turning point predictions in a Bayesian panel VAR model

We provide methods for forecasting variables and predicting turning points in panel Bayesian VARs. We specify a flexible model which accounts for both interdependencies in the cross section and time variations in the parameters. Posterior distributions for the parameters are obtained for a particular type of diffuse, for Minnesota-type and for hierarchical priors. Formulas for multistep, multiunit point and average forecasts are provided. An application to the problem of forecasting the growth rate of output and of predicting turning points in the G-7 illustrates the approach. A comparison with alternative forecasting methods is also provided.

Drug utilization studies and data registries in primary care

This article reviews the methodology of the studies on drug utilization with particular emphasis on primary care. Population based studies of drug inappropriateness can be done with microdata from Health Electronic Records and e-prescriptions. Multilevel models estimate the influence of factors affecting the appropriateness of drug prescription at different hierarchical levels: patient, doctor, health care organization and regulatory environment.Work by the GIUMAP suggest that patient characteristics are the most important factor in the appropriateness of prescriptions with significant effects at the general practicioner level.