El Fenomen del greenwashing : avaluació de l’impacte a l’Estat Espanyol

Estudi del fenomen del “greenwashing” que es dóna quan una empresa distorsiona i manipula intencionadament mitjançant l’amplificació selectiva d’informació positiva la seva imatge. Es fa una avaluació de la seva existència, la importància i l’efecte sobre els consumidors. Concretament l’estudi es centra en la publicitat escrita de set grans empreses

Avaluació i implantació d’un sistema de climatització amb energia solar a la Facultat de Ciències de la UdG

Estudi de viabilitat de climatització de la Facultat de Ciències de la UdG per energia solar. Estudi de costos i comparació de l’estalvi respecte al sistema actual

Implantació de la digestió anaeròbia a la EDAR de Castell-Platja d’Aro

Estudi de la viabilitat tècnica i econòmica de la implantació de la digestió anaeròbia a l’EDAR de Castell-Platja d’Aro per tal de portar a terme un sistema de cogeneració. S’ha estudiant el funcionament actual amb digestió aeròbia i s’ha valorat mitjançant balanços de matèria, energia i econòmics els avantatges i desavantatges de substituir la digestió aeròbia per anaeròbia

Hermen Anglada-Camarasa: De Barcelona a París, 1871-1904

Estudi d’un període concret de l’artista català Hermenegild Anglada-Camarasa, els anys1871-1904. Són els anys de formació de l’artista a Catalunya, passant per Barcelona, Arbúcies i Vilanova i la Geltrú. També viatja a París i continua la formació allà, on contacta amb moviments artístics europeus i internacionals, es consolida la seva figura i comença a tenir força reconeixement a nivell internacional

Casal de cinema

El treball que es presenta a continuació és resultat de les pràctiques de Psicopedagogia realitzades al Museu del Cinema de Girona des del febrer fins al maig de 2012. El treball és, bàsicament, una proposta didàctica per a la realització d'un Casal d'estiu sobre cinema per a la institució anteriorment esmentada

Intervenció psicopedagògica en la formació d’adults: anàlisi dels perfils d’estudiants d’un centre de formació d’adults per a la millora de la intervenció psicopedagògica

La formació d’adults , en la formació inicial de Psicopedagogia, se’ns sol presentar com una possibilitat formativa allunyada del sistema educatiu més habitual. Tradicionalment la tasca psicopedagògica s’ha centrat en les etapes obligatòries, en la infància i adolescència, i les etapes adultes no s’han tingut en compte de la mateixa manera. En els darrers anys sembla que s’està recuperant la importància de l’aprenentatge al llarg de la vida, i per tant, veiem que les etapes importants ja no només són la infància i adolescència, sinó que l’adultesa i senectut també poden esdevenir etapes protagonistes pel que fa a les possibilitats formatives i als processos d’ensenyament- aprenentatge. En aquest treball ens centrarem en la Formació d’adults reglada, en el context d’un Centre de Formació d’Adults (CFA). L’objecte d’estudi en aquest treball seran els diferents perfils dels alumnes del CFA de Vidreres que realitzen els estudis de preparació de proves d’accés (A cicles formatius de grau mitjà o superior, o bé a la Universitat) per establir els perfils generals dels alumnes en base a creences i conductes detectades i així poder-los tenir en compte en la intervenció psicopedagògica

Multi-isotopic and compositional exploration of factors controlling nitrate pollution

In Catalonia, according to the nitrate directive (91/676/EU), nine areas have been declared as vulnerable to nitrate pollution from agricultural sources (Decret 283/1998 and Decret 479/2004). Five of these areas have been studied coupling hydro chemical data with a multi-isotopic approach (Vitòria et al. 2005, Otero et al. 2007, Puig et al. 2007), in an ongoing research project looking for an integrated application of classical hydrochemistry data, with a comprehensive isotopic characterisation (δ15N and δ18O of dissolved nitrate, δ34S and δ18O of dissolved sulphate, δ13C of dissolved inorganic carbon, and δD and δ18O of water). Within this general frame, the contribution presented explores compositional ways of: (i) distinguish agrochemicals and manure N pollution, (ii) quantify natural attenuation of nitrate (denitrification), and identify possible controlling factors.To achieve this two-fold goal, the following techniques have been used. Separate biplots of each suite of data show that each studied region has a distinct δ34S and pH signatures, but they are homogeneous with regard to NO3- related variables. Also, the geochemical variables were projected onto the compositional directions associated with the possible denitrification reactions in each region. The resulting balances can be plot together with some isotopes, to assess their likelihood of occurrence

Studies in stoichiometry with compositional data

Geochemical data that is derived from the whole or partial analysis of various geologic materialsrepresent a composition of mineralogies or solute species. Minerals are composed of structuredrelationships between cations and anions which, through atomic and molecular forces, keep the elementsbound in specific configurations. The chemical compositions of minerals have specific relationships thatare governed by these molecular controls. In the case of olivine, there is a well-defined relationshipbetween Mn-Fe-Mg with Si. Balances between the principal elements defining olivine composition andother significant constituents in the composition (Al, Ti) have been defined, resulting in a near-linearrelationship between the logarithmic relative proportion of Si versus (MgMnFe) and Mg versus (MnFe),which is typically described but poorly illustrated in the simplex.The present contribution corresponds to ongoing research, which attempts to relate stoichiometry andgeochemical data using compositional geometry. We describe here the approach by which stoichiometricrelationships based on mineralogical constraints can be accounted for in the space of simplicialcoordinates using olivines as an example. Further examples for other mineral types (plagioclases andmore complex minerals such as clays) are needed. Issues that remain to be dealt with include thereduction of a bulk chemical composition of a rock comprised of several minerals from which appropriatebalances can be used to describe the composition in a realistic mineralogical framework. The overallobjective of our research is to answer the question: In the cases where the mineralogy is unknown, arethere suitable proxies that can be substituted?Kew words: Aitchison geometry, balances, mineral composition, oxides

Clustering compositional data trajectories

Our essay aims at studying suitable statistical methods for the clustering ofcompositional data in situations where observations are constituted by trajectories ofcompositional data, that is, by sequences of composition measurements along a domain.Observed trajectories are known as “functional data” and several methods have beenproposed for their analysis.In particular, methods for clustering functional data, known as Functional ClusterAnalysis (FCA), have been applied by practitioners and scientists in many fields. To ourknowledge, FCA techniques have not been extended to cope with the problem ofclustering compositional data trajectories. In order to extend FCA techniques to theanalysis of compositional data, FCA clustering techniques have to be adapted by using asuitable compositional algebra.The present work centres on the following question: given a sample of compositionaldata trajectories, how can we formulate a segmentation procedure giving homogeneousclasses? To address this problem we follow the steps described below.First of all we adapt the well-known spline smoothing techniques in order to cope withthe smoothing of compositional data trajectories. In fact, an observed curve can bethought of as the sum of a smooth part plus some noise due to measurement errors.Spline smoothing techniques are used to isolate the smooth part of the trajectory:clustering algorithms are then applied to these smooth curves.The second step consists in building suitable metrics for measuring the dissimilaritybetween trajectories: we propose a metric that accounts for difference in both shape andlevel, and a metric accounting for differences in shape only.A simulation study is performed in order to evaluate the proposed methodologies, usingboth hierarchical and partitional clustering algorithm. The quality of the obtained resultsis assessed by means of several indices

Anàlisi del fenomen turístic a Ripoll durant el període 1907-1936 a través de revistes històriques de la vila

L’objectiu principal d’aquest estudi és analitzar el fenomen turístic a Ripoll durant els primers anys del segle XX, concretament durant el període 1907-1936, a través de revistes setmanals de Ripoll d’aquesta època, ja que permeten observar què passava en aquells moments a la societat de la vila i com vivia el turisme, si ho veien com un aspecte negatiu o positiu. A més, el període s’ha escollit per veure com era el turisme a inicis del segle XX, però també per veure com va evolucionar i com es va estancar al 1936 amb l’esclat de la Guerra Civil

The efficiency of direct payments versus tax reductions under uncertainty

This paper analyzes the optimal behavior of farmers in the presence of direct payments and uncertainty. In an empirical analysis for Switzerland, it confirms previously obtained theoretical results and determines the magnitude of the theoretical predicted effects. The results show that direct payments increase agricultural production between 3.7% to 4.8%. Alternatively to direct payments, the production effect of tax reductions is evaluated in order to determine its magnitude. The empirical analysis corroborates the theoretical results of the literature and demonstrates that tax reductions are also distorting, but to a substantially lesser degree if losses are not offset. However, tax reductions, independently whether losses are offset or not, lead to higher government spending than pure direct payments

Possible solution of some essential zero problems in compositional data analysis

One of the tantalising remaining problems in compositional data analysis lies in how to deal with data sets in which there are components which are essential zeros. By anessential zero we mean a component which is truly zero, not something recorded as zero simply because the experimental design or the measuring instrument has not been sufficiently sensitive to detect a trace of the part. Such essential zeros occur inmany compositional situations, such as household budget patterns, time budgets,palaeontological zonation studies, ecological abundance studies. Devices such as nonzero replacement and amalgamation are almost invariably ad hoc and unsuccessful insuch situations. From consideration of such examples it seems sensible to build up amodel in two stages, the first determining where the zeros will occur and the secondhow the unit available is distributed among the non-zero parts. In this paper we suggest two such models, an independent binomial conditional logistic normal model and a hierarchical dependent binomial conditional logistic normal model. The compositional data in such modelling consist of an incidence matrix and a conditional compositional matrix. Interesting statistical problems arise, such as the question of estimability of parameters, the nature of the computational process for the estimation of both the incidence and compositional parameters caused by the complexity of the subcompositional structure, the formation of meaningful hypotheses, and the devising of suitable testing methodology within a lattice of such essential zero-compositional hypotheses. The methodology is illustrated by application to both simulated and real compositional data

Application of discriminant function analysis and change-point problem in dating volcanic ashes

The application of Discriminant function analysis (DFA) is not a new idea in the studyof tephrochrology. In this paper, DFA is applied to compositional datasets of twodifferent types of tephras from Mountain Ruapehu in New Zealand and MountainRainier in USA. The canonical variables from the analysis are further investigated witha statistical methodology of change-point problems in order to gain a betterunderstanding of the change in compositional pattern over time. Finally, a special caseof segmented regression has been proposed to model both the time of change and thechange in pattern. This model can be used to estimate the age for the unknown tephrasusing Bayesian statistical calibration

Statistical Analysis of Eco-Toxicologic Data of Mammals from a Polluted Area

Several eco-toxicological studies have shown that insectivorous mammals, due to theirfeeding habits, easily accumulate high amounts of pollutants in relation to other mammal species. To assess the bio-accumulation levels of toxic metals and their in°uenceon essential metals, we quantified the concentration of 19 elements (Ca, K, Fe, B, P,S, Na, Al, Zn, Ba, Rb, Sr, Cu, Mn, Hg, Cd, Mo, Cr and Pb) in bones of 105 greaterwhite-toothed shrews (Crocidura russula) from a polluted (Ebro Delta) and a control(Medas Islands) area. Since chemical contents of a bio-indicator are mainly compositional data, conventional statistical analyses currently used in eco-toxicology can givemisleading results. Therefore, to improve the interpretation of the data obtained, weused statistical techniques for compositional data analysis to define groups of metalsand to evaluate the relationships between them, from an inter-population viewpoint.Hypothesis testing on the adequate balance-coordinates allow us to confirm intuitionbased hypothesis and some previous results. The main statistical goal was to test equalmeans of balance-coordinates for the two defined populations. After checking normality,one-way ANOVA or Mann-Whitney tests were carried out for the inter-group balances

An alternative method for dating unknown tephras based on a segmented regression model

In CoDaWork’05, we presented an application of discriminant function analysis (DFA) to 4 differentcompositional datasets and modelled the first canonical variable using a segmented regression modelsolely based on an observation about the scatter plots. In this paper, multiple linear regressions areapplied to different datasets to confirm the validity of our proposed model. In addition to dating theunknown tephras by calibration as discussed previously, another method of mapping the unknown tephrasinto samples of the reference set or missing samples in between consecutive reference samples isproposed. The application of these methodologies is demonstrated with both simulated and real datasets.This new proposed methodology provides an alternative, more acceptable approach for geologists as theirfocus is on mapping the unknown tephra with relevant eruptive events rather than estimating the age ofunknown tephra.Kew words: Tephrochronology; Segmented regression