Gestió d’ un espai natural d’ alt interès limnològic: la Font de Can Verdaguer (Sant Gregori)

Aquest projecte es centra en l’ espai natural que envolta la Font Picant o Font de Can Verdaguer, al municipi de Sant Gregori (Gironès). El projecte consisteix en una primera fase en l’estudi dels usos passats i actuals, l’aprofitament per part de la població de l’espai i l’entorn a través de la informació recopilada cartogràficament i a través de bibliografia i entrevistes. En una segona fase es realitza un acurat estudi limnològic de la riera utilitzada per canalitzar les aigües que surten de la font. I finalment, en funció dels resultats de l’estudi, es realitzen propostes per la recuperació i dinamització de l’espai i es recomana un correcte pla de seguiment per garantir el bon estat de l’ indret i assegurar la seva naturalitzaci

Acceptabilitat de la carn de boví uruguaià procedents de diferents sistemes d’alimentació pels consumidors espanyols

L’objectiu principal del projecte és avaluar l'acceptabilitat global, de la tendresa i del gust de la carn de vacum de l’Uruguai per part dels consumidors espanyols. També es va pretendre veure la influència de les característiques dels consumidors (edat, sexe i nivell d'estudis) sobre l'acceptabilitat d'aquesta carn

El Branding a les empreses familiars turístiques: El cas del Grup Mas de Torrent

El projecte estudia la influència de la família en el procés de creació d’una marca cooperativa (branding) d’una empresa familiar turística, així com en l’activitat empresarial que desenvolupa. Aquest es centra en el Grup Mas de Torrent

Producció i caracterització d'aliatges tipus Heusler sense Gal•li

L’objecte del present treball és produir, caracteritzar i comparar aliatges tipusHeusler no estequiomètrics de base Ni-Mn-Sn-X (on X= Co, Fe per tant, es pretén generar mostres dels aliatges utilitzant els precursors ambuna composició que variï de l’establerta per Heusler. La morfologia del material será en forma de cinta, ja que és la morfologia més semblant a les aplicacions industrials que voldrem aplicar a aquests aliatges

Influència de la restricció alimentària i del maneig presacrifici sobre el benestar i la qualitat de la canal i la carn en porcí

S’han estudiat un total de 75 mascles sencers (50% Pietrain, 25% Duroc i 25%Landrace) des de les dues setmanes de vida (±4,00kg) en el Centre de Control Porcí del’IRTA (CCP) fins les 24 hores posteriors al seu sacrifici (±100,00kg) a l’escorxador delCentre de Tecnologia de la Carn de l’IRTA (CTC). Al CCP es varen avaluar aspectes decomportament i benestar animal, així com diferents paràmetres de consums icreixements individuals de cada animal. A l’escorxador del CTC es van avaluar lescaracterístiques de qualitat de la canal i la carn de les 75 canals provinents dels animals estudiats. Les dades de consum individual es van poder recollir mitjançant el sistema SACA (Sistema Automàtic de Consum d’Aliment) que permet saber quins són elsconsums individuals de cada animal i en quin moment del dia es produeixen les sevesvisites a la menjadora.L’objectiu era determinar l’efecte del dejuni en granja (DJ) i del temps d’esperaen l’escorxador (TE) sobre el benestar animal, la qualitat de la canal i la carn de porc iel que es van anomenar altres variables i ràtios. També es van analitzar els consumsindividuals d’aliment per cada animal. Es van tenir en compte dos períodes de dejuni (2i 12 hores) i tres temps d’espera en l’escorxador (0, 5 i 10 hores)

Avaluació de la substitució del plasma de sang per farina de rovell d’ou com a font proteica en l’alimentació de garrins en l’etapa de desmamament.

Els subproductes de l’ou, es presenten com a una alternativa viable a l’SDPP (Spray Dried Porcine Plasma),principalment per l’elevada qualitat de la seva proteïna, alhora que representen una fontimportant d’energia i agents antimicrobians, així com de vitamines i minerals. A més,el cost que suposa la seva inclusió en alimentació garrina és inferior al del plasma i coma element afegit, es donaria sortida a les elevades quantitats de subproductes de l’ougenerades cada any, no aptes per al consum humà

Markov chain montecarlo method applied to rounding zeros of compositional data: first approach

As stated in Aitchison (1986), a proper study of relative variation in a compositional data set should be based on logratios, and dealing with logratios excludes dealing with zeros. Nevertheless, it is clear that zero observations might be present in real data sets, either because the corresponding part is completelyabsent –essential zeros– or because it is below detection limit –rounded zeros. Because the second kind of zeros is usually understood as “a trace too small to measure”, it seems reasonable to replace them by a suitable small value, and this has been the traditional approach. As stated, e.g. by Tauber (1999) and byMartín-Fernández, Barceló-Vidal, and Pawlowsky-Glahn (2000), the principal problem in compositional data analysis is related to rounded zeros. One should be careful to use a replacement strategy that does not seriously distort the general structure of the data. In particular, the covariance structure of the involvedparts –and thus the metric properties– should be preserved, as otherwise further analysis on subpopulations could be misleading. Following this point of view, a non-parametric imputation method isintroduced in Martín-Fernández, Barceló-Vidal, and Pawlowsky-Glahn (2000). This method is analyzed in depth by Martín-Fernández, Barceló-Vidal, and Pawlowsky-Glahn (2003) where it is shown that thetheoretical drawbacks of the additive zero replacement method proposed in Aitchison (1986) can be overcome using a new multiplicative approach on the non-zero parts of a composition. The new approachhas reasonable properties from a compositional point of view. In particular, it is “natural” in the sense thatit recovers the “true” composition if replacement values are identical to the missing values, and it is coherent with the basic operations on the simplex. This coherence implies that the covariance structure of subcompositions with no zeros is preserved. As a generalization of the multiplicative replacement, in thesame paper a substitution method for missing values on compositional data sets is introduced

Modelling of Mercury’s surface composition and remote detection from the orbit with the BepiColombo Mercury Planetary Orbiter

It can be assumed that the composition of Mercury’s thin gas envelope (exosphere) is related to thecomposition of the planets crustal materials. If this relationship is true, then inferences regarding the bulkchemistry of the planet might be made from a thorough exospheric study. The most vexing of allunsolved problems is the uncertainty in the source of each component. Historically, it has been believedthat H and He come primarily from the solar wind, while Na and K originate from volatilized materialspartitioned between Mercury’s crust and meteoritic impactors. The processes that eject atoms andmolecules into the exosphere of Mercury are generally considered to be thermal vaporization, photonstimulateddesorption (PSD), impact vaporization, and ion sputtering. Each of these processes has its owntemporal and spatial dependence. The exosphere is strongly influenced by Mercury’s highly ellipticalorbit and rapid orbital speed. As a consequence the surface undergoes large fluctuations in temperatureand experiences differences of insolation with longitude. We will discuss these processes but focus moreon the expected surface composition and solar wind particle sputtering which releases material like Caand other elements from the surface minerals and discuss the relevance of composition modelling

alr approach for replacing values below the detection limit

All of the imputation techniques usually applied for replacing values below thedetection limit in compositional data sets have adverse effects on the variability. In thiswork we propose a modification of the EM algorithm that is applied using the additivelog-ratio transformation. This new strategy is applied to a compositional data set and theresults are compared with the usual imputation techniques

CoDaPack. An Excel and Visual Basic based software of compositional data analysis. Current version and discussion form upcoming versions

In the eighties, John Aitchison (1986) developed a new methodological approach for the statistical analysis of compositional data. This new methodology was implemented in Basic routines grouped under the name CODA and later NEWCODA inMatlab (Aitchison, 1997). After that, several other authors have published extensions to this methodology: Marín-Fernández and others (2000), Barceló-Vidal and others (2001), Pawlowsky-Glahn and Egozcue (2001, 2002) and Egozcue and others (2003). (...)

Major-elements trends in cenozoic volcanites of Hungary

Hungary lies entirely within the Carpatho-Pannonian Region (CPR), a dominant tectonic unit of eastern Central Europe. The CPR consists of the Pannonian Basin system, and the arc of the Carpathian Mountains surrounding the lowlands in the north, east, and southeast. In the west, the CPR is bounded by the Eastern Alps, whereas in the south, by the Dinaridic belt. (...)

Bayesian tools for zero counts in compositional data

The log-ratio methodology makes available powerful tools for analyzing compositionaldata. Nevertheless, the use of this methodology is only possible for those data setswithout null values. Consequently, in those data sets where the zeros are present, aprevious treatment becomes necessary. Last advances in the treatment of compositionalzeros have been centered especially in the zeros of structural nature and in the roundedzeros. These tools do not contemplate the particular case of count compositional datasets with null values. In this work we deal with \count zeros" and we introduce atreatment based on a mixed Bayesian-multiplicative estimation. We use the Dirichletprobability distribution as a prior and we estimate the posterior probabilities. Then weapply a multiplicative modi¯cation for the non-zero values. We present a case studywhere this new methodology is applied.Key words: count data, multiplicative replacement, composition, log-ratio analysis

A comparison of the alr and ilr transformations for kernel density estimation of compositional data

In a seminal paper, Aitchison and Lauder (1985) introduced classical kernel densityestimation techniques in the context of compositional data analysis. Indeed, they gavetwo options for the choice of the kernel to be used in the kernel estimator. One ofthese kernels is based on the use the alr transformation on the simplex SD jointly withthe normal distribution on RD-1. However, these authors themselves recognized thatthis method has some deficiencies. A method for overcoming these dificulties based onrecent developments for compositional data analysis and multivariate kernel estimationtheory, combining the ilr transformation with the use of the normal density with a fullbandwidth matrix, was recently proposed in Martín-Fernández, Chacón and Mateu-Figueras (2006). Here we present an extensive simulation study that compares bothmethods in practice, thus exploring the finite-sample behaviour of both estimators

Discovering similarities in the time use patterns of the Spanish Autonomous Communities by Fuzzy techniques

In 2000 the European Statistical Office published the guidelines for developing theHarmonized European Time Use Surveys system. Under such a unified framework,the first Time Use Survey of national scope was conducted in Spain during 2002–03. The aim of these surveys is to understand human behavior and the lifestyle ofpeople. Time allocation data are of compositional nature in origin, that is, they aresubject to non-negativity and constant-sum constraints. Thus, standard multivariatetechniques cannot be directly applied to analyze them. The goal of this work is toidentify homogeneous Spanish Autonomous Communities with regard to the typicalactivity pattern of their respective populations. To this end, fuzzy clustering approachis followed. Rather than the hard partitioning of classical clustering, where objects areallocated to only a single group, fuzzy method identify overlapping groups of objectsby allowing them to belong to more than one group. Concretely, the probabilistic fuzzyc-means algorithm is conveniently adapted to deal with the Spanish Time Use Surveymicrodata. As a result, a map distinguishing Autonomous Communities with similaractivity pattern is drawn.Key words: Time use data, Fuzzy clustering; FCM; simplex space; Aitchison distance

CODAMAT: a modern analogue techinque for compositional data

The quantitative estimation of Sea Surface Temperatures from fossils assemblages is afundamental issue in palaeoclimatic and paleooceanographic investigations. TheModern Analogue Technique, a widely adopted method based on direct comparison offossil assemblages with modern coretop samples, was revised with the aim ofconforming it to compositional data analysis. The new CODAMAT method wasdeveloped by adopting the Aitchison metric as distance measure. Modern coretopdatasets are characterised by a large amount of zeros. The zero replacement was carriedout by adopting a Bayesian approach to the zero replacement, based on a posteriorestimation of the parameter of the multinomial distribution. The number of modernanalogues from which reconstructing the SST was determined by means of a multipleapproach by considering the Proxies correlation matrix, Standardized Residual Sum ofSquares and Mean Squared Distance. This new CODAMAT method was applied to theplanktonic foraminiferal assemblages of a core recovered in the Tyrrhenian Sea.Kew words: Modern analogues, Aitchison distance, Proxies correlation matrix,Standardized Residual Sum of Squares