A new approach to the classification of mammographic masses and normal breast tissue

A new approach to mammographic mass detection is presented in this paper. Although different algorithms have been proposed for such a task, most of them are application dependent. In contrast, our approach makes use of a kindred topic in computer vision adapted to our particular problem. In this sense, we translate the eigenfaces approach for face detection/classification problems to a mass detection. Two different databases were used to show the robustness of the approach. The first one consisted on a set of 160 regions of interest (RoIs) extracted from the MIAS database, being 40 of them with confirmed masses and the rest normal tissue. The second set of RoIs was extracted from the DDSM database, and contained 196 RoIs containing masses and 392 with normal, but suspicious regions. Initial results demonstrate the feasibility of using such approach with performances comparable to other algorithms, with the advantage of being a more general, simple and cost-effective approach

Behind the decision making of the KFC coffee campaign, can KFC win the coffee market in UK?�

KFC, the chain fast-food restaurants in UK, planed to launched coffee products through campaigns. There are two main reasons for KFC to make the decision. The first one is KFC tried to promote its coffee products with KFC A.M. breakfast plan and it failed at last. The second reason is that KFC needs extension points of interest. The financial condition of KFC has been steady but no breakthrough growth. It has been showed that there is enormous potential of “fast-drink” market in UK. After the success of KFC “Krushems” series, it is reasonable for the company launched coffee products. However, KFC also faced to many challenges to win the market. Compare to the main competitor of McDonald’s, KFC’s quantity of restaurants is far too less. Moreover, KFC has a brand limitation that focuses more family than single urban. The dominant competitors are another challenge KFC need to manage. To sum up, KFC has to win these challenges to be a bigger player in UK coffee market.

Señor presidente no creo en vos; señor policía no temo de voz. Represión estatal y paramilitar y prácticas juveniles en los barrios Alameda, Brisas, Anita y Almendros

El estudio sobre la juventud y su relación con prácticas realizadas en los espacios públicos, especialmente la calle, ha tenido un renovado interés durante las últimas décadas. Estos debates se han vuelto relevantes en cuanto que los jóvenes parecen ocupar un lugar primordial en las escenas cotidianas de violencia, en particular los jóvenes de sectores populares. A través de un proceso etnográfico de carácter sistemático y sostenido en el tiempo identifico y explico las distintas interacciones de los jóvenes en los espacios públicos de cuatro barrios populares, centrando el análisis en las distintas formas de negociación con los actores armados, especialmente con la policía y el paramilitarismo. Lo que argumento es que hacer presencia en los espacios públicos, especialmente en la calle, termina por constituir en una opción de vida a través de los cuales fomentan una beligerancia social y política de resistencia pero ante todo como método que les permite proponer alternativas de existencia, por demás no violentas, frente a la violencia generalizada de la policía y el paramilitarismo. El problema radica en que muchas de las expresiones de algunos jóvenes terminan por reproducir los mecanismos de violencia del que son víctimas, aspecto que es identificado, por quienes acuden a la violencia, como una forma de reclamar un lugar en la comunidad, a permitirse ser reconocidos y escuchados y a sobrevivir en medio de una simultaneidad de violencias que cotidianamente los atropella y les vulnera los derechos. La violencia de estos jóvenes es una forma de no permitir que las esperanzas se diluyan, aunque paradójicamente también les puede quitar la vida

Assessment of virtual design and manufacturing techniques for fibre reinforced composite materials

Virtual tools are commonly used nowadays to optimize product design and manufacturing process of fibre reinforced composite materials. The present work focuses on two areas of interest to forecast the part performance and the production process particularities. The first part proposes a multi-physical optimization tool to support the concept stage of a composite part. The strategy is based on the strategic handling of information and, through a single control parameter, is able to evaluate the effects of design variations throughout all these steps in parallel. The second part targets the resin infusion process and the impact of thermal effects. The numerical and experimental approach allowed the identificationof improvement opportunities regarding the implementation of algorithms in commercially available simulation software.

Contribution of antioxidant enzymes to toxicity assessment in fluvial biofilms

Per tal d’avaluar l’impacte de la contaminació en els ecosistemes aquàtics, aquesta tesi es centra en una aproximació multi-biomarcador en els biofilms. En complement dels biomarcadors clàssics, es va demostrar que les activitats dels enzims antioxidants (AEA): catalasa, ascorbat peroxidasa i glutatió reductasa eren biomarcardors d'estrès oxidatiu en els biofilms. Tot i que les AEA poden veure's influenciades amb la mateixa mesura per factors naturals (edat del biofilm, llum de colonització o d'exposició) i contaminants (herbicides i farmacèutics), aquestes AEA permeten entendre millor l'efecte dels contaminants. Cal remarcar que assajos de toxicitat aguda es poden utilitzar per comparar la capacitat antioxidant entre comunitats i conèixer la seva pre-exposició a l'estrès oxidatiu. Aquesta aproximació multi-biomarcador a nivell de comunitat és especialment interessant per avaluar la toxicitat dels contaminants emergents (β-blockers) sobre espècies no-diana. Per tal de millorar-la, també es va verificar la possibilitat de mesurar l'expressió gènica en biofilms.

Image classification for a large number of object categories

L'increment de bases de dades que cada vegada contenen imatges més difícils i amb un nombre més elevat de categories, està forçant el desenvolupament de tècniques de representació d'imatges que siguin discriminatives quan es vol treballar amb múltiples classes i d'algorismes que siguin eficients en l'aprenentatge i classificació. Aquesta tesi explora el problema de classificar les imatges segons l'objecte que contenen quan es disposa d'un gran nombre de categories. Primerament s'investiga com un sistema híbrid format per un model generatiu i un model discriminatiu pot beneficiar la tasca de classificació d'imatges on el nivell d'anotació humà sigui mínim. Per aquesta tasca introduïm un nou vocabulari utilitzant una representació densa de descriptors color-SIFT, i desprès s'investiga com els diferents paràmetres afecten la classificació final. Tot seguit es proposa un mètode par tal d'incorporar informació espacial amb el sistema híbrid, mostrant que la informació de context es de gran ajuda per la classificació d'imatges. Desprès introduïm un nou descriptor de forma que representa la imatge segons la seva forma local i la seva forma espacial, tot junt amb un kernel que incorpora aquesta informació espacial en forma piramidal. La forma es representada per un vector compacte obtenint un descriptor molt adequat per ésser utilitzat amb algorismes d'aprenentatge amb kernels. Els experiments realitzats postren que aquesta informació de forma te uns resultats semblants (i a vegades millors) als descriptors basats en aparença. També s'investiga com diferents característiques es poden combinar per ésser utilitzades en la classificació d'imatges i es mostra com el descriptor de forma proposat juntament amb un descriptor d'aparença millora substancialment la classificació. Finalment es descriu un algoritme que detecta les regions d'interès automàticament durant l'entrenament i la classificació. Això proporciona un mètode per inhibir el fons de la imatge i afegeix invariança a la posició dels objectes dins les imatges. S'ensenya que la forma i l'aparença sobre aquesta regió d'interès i utilitzant els classificadors random forests millora la classificació i el temps computacional. Es comparen els postres resultats amb resultats de la literatura utilitzant les mateixes bases de dades que els autors Aixa com els mateixos protocols d'aprenentatge i classificació. Es veu com totes les innovacions introduïdes incrementen la classificació final de les imatges.

Theoretical studies of the exohedral reactivity of fullerene compounds

Des del descobriment del buckminster ful.lerè el 1985, s'ha despertat un interés enorme per entendre la reactivitat química així com les propietats d'aquests compostos. La funcionalització exoèdrica del ful.lerè més abundant, el C60, està força ben establerta. Tanmateix, la investigació en aquest camp encara continua oberta ja que s'han sintetitzat una gran varietat de derivats molt prometedors donades les seves futures aplicacions. La tesi comprèn quinze capítols que contenen set publicacions relacionades. Els primers dos estudis es basen en la reacció Diels-Alder sobre els anomenats metal.loful.lerens endoèdrics TNT X3N@C78, X= Sc, Y. Aquest projecte de investigació està motivat pel desconeixament existent sobre les possibles conseqüències de l'encapsulació del grup X3N. El tercer estudi descriu minuciosament els canvis detectats en la funcionalització exoèdrica un cop s'ha produït l'encapsulació dels diferents gasos nobles. En aquesta tesi s'estudia en detall l'ús de l'aproximació ONIOM per a estudiar reaccions de cicloaddició en compostos ful.lerènics. Els resultats d'aquest projecte són d'alt interès per a la realització dels estudis posteriors sobre la reacció de Diels-Alder i la 1,3-dipolar en ful.lerens i derivats. Finalment, l'última part d'aquesta tesi es basa en les propietats antioxidants de determinats ful.lerens. A l'últim treball inclòs en aquesta tesi s'estudia en detall el mecanismo de reacció per a la eliminació del ió superòxid en presència de ful.lerens.

Emotion recognition in multiple sclerosis

The effect of multiple sclerosis (MS) on the ability to identify emotional expressions in faces was investigated, and possible associations with patients’ characteristics were explored. 56 non-demented MS patients and 56 healthy subjects (HS) with similar demographic characteristics performed an emotion recognition task (ERT), the Benton Facial Recognition Test (BFRT), and answered the Hospital Anxiety and Depression Scale (HADS). Additionally, MS patients underwent a neurological examination and a comprehensive neuropsychological evaluation. The ERT consisted of 42 pictures of faces (depicting anger, disgust, fear, happiness, sadness, surprise and neutral expressions) from the NimStim set. An iViewX high-speed eye tracker was used to record eye movements during ERT. The fixation times were calculated for two regions of interest (i.e., eyes and rest of the face). No significant differences were found between MS and HC on ERT’s behavioral and oculomotor measures. Bivariate and multiple regression analyses revealed significant associations between ERT’s behavioral performance and demographic, clinical, psychopathological, and cognitive measures.

Can Italy and Spain survive rates of 6-7%? CEPS Policy Brief No. 279, 27 July 2012

The sentiment that the euro is now in real danger is based in large part on the widespread conviction that interest rates of 6-7% are simply unsustainable for both Italy and Spain., After taking a closer look at the fundamentals, however, Daniel Gros concludes in this new Policy Brief that both countries should be able to live with this level of interest rates for quite some time, but only if they mobilize domestic savings, which remain strong in both countries. For Spain, some debt/equity swaps are also needed.

Unimodality of wave amplitude in the northern Hemisphere

A novel statistic for local wave amplitude of the 500-hPa geopotential height field is introduced. The statistic uses a Hilbert transform to define a longitudinal wave envelope and dynamical latitude weighting to define the latitudes of interest. Here it is used to detect the existence, or otherwise, of multimodality in its distribution function. The empirical distribution function for the 1960-2000 period is close to a Weibull distribution with shape parameters between 2 and 3. There is substantial interdecadal variability but no apparent local multimodality or bimodality. The zonally averaged wave amplitude, akin to the more usual wave amplitude index, is close to being normally distributed. This is consistent with the central limit theorem, which applies to the construction of the wave amplitude index. For the period 1960-70 it is found that there is apparent bimodality in this index. However, the different amplitudes are realized at different longitudes, so there is no bimodality at any single longitude. As a corollary, it is found that many commonly used statistics to detect multimodality in atmospheric fields potentially satisfy the assumptions underlying the central limit theorem and therefore can only show approximately normal distributions. The author concludes that these techniques may therefore be suboptimal to detect any multimodality.

Potential impacts of climate change on water quality and ecology in six UK rivers

A modelling study has been undertaken to assess the likely impacts of climate change on water quality across the UK. A range of climate change scenarios have been used to generate future precipitation, evaporation and temperature time series at a range of catchments across the UK. These time series have then been used to drive the Integrated Catchment (INCA) suite of flow, water quality and ecological models to simulate flow, nitrate, ammonia, total and soluble reactive phosphorus, sediments, macrophytes and epiphytes in the Rivers Tamar, Lugg, Tame, Kennet, Tweed and Lambourn. A wide range of responses have been obtained with impacts varying depending on river character, catchment location, flow regime, type of scenario and the time into the future. Essentially upland reaches of river will respond differently to lowland reaches of river, and the responses will vary depending on the water quality parameter of interest.

Synthesis of poly(aspartimide)-based bio-glycoconjugates

The purpose of this programme was to synthesize and analyze new bioconjugates of interest for the potential inhibition of the influenza virus, using poly(aspartimide) as a polymer support. The macromolecular targets were obtained by attaching various sialic acid-linker-amine compounds to poly(aspartimide). 1H and 13C NMR studies were then performed to analyze the degree of incorporation of the sialic acid-linker-amine compounds within the poly(aspartimide). These studies illustrated that the incorporation was dependent on the nature of the spacer between the sugar and the amine functionality. Thus aliphatic spacers favoured the inclusion of sialic acid onto the polymer support whereas compounds having only an aromatic moiety between the sialic acid and the amine could not be easily incorporated.

Spatial covariation of Azotobacter abundance and soil properties: A case study using the wavelet transform

The soil microflora is very heterogeneous in its spatial distribution. The origins of this heterogeneity and its significance for soil function are not well understood. A problem for understanding spatial variation better is the assumption of statistical stationarity that is made in most of the statistical methods used to assess it. These assumptions are made explicit in geostatistical methods that have been increasingly used by soil biologists in recent years. Geostatistical methods are powerful, particularly for local prediction, but they require the assumption that the variability of a property of interest is spatially uniform, which is not always plausible given what is known about the complexity of the soil microflora and the soil environment. We have used the wavelet transform, a relatively new innovation in mathematical analysis, to investigate the spatial variation of abundance of Azotobacter in the soil of a typical agricultural landscape. The wavelet transform entails no assumptions of stationarity and is well suited to the analysis of variables that show intermittent or transient features at different spatial scales. In this study, we computed cross-variograms of Azotobacter abundance with the pH, water content and loss on ignition of the soil. These revealed scale-dependent covariation in all cases. The wavelet transform also showed that the correlation of Azotobacter abundance with all three soil properties depended on spatial scale, the correlation generally increased with spatial scale and was only significantly different from zero at some scales. However, the wavelet analysis also allowed us to show how the correlation changed across the landscape. For example, at one scale Azotobacter abundance was strongly correlated with pH in part of the transect, and not with soil water content, but this was reversed elsewhere on the transect. The results show how scale-dependent variation of potentially limiting environmental factors can induce a complex spatial pattern of abundance in a soil organism. The geostatistical methods that we used here make assumptions that are not consistent with the spatial changes in the covariation of these properties that our wavelet analysis has shown. This suggests that the wavelet transform is a powerful tool for future investigation of the spatial structure and function of soil biota. (c) 2006 Elsevier Ltd. All rights reserved.

A geomatics-based approach for the derivation of the spatial distribution of sediment transport processes in periglacial mountain environments

Within this paper modern techniques such as satellite image analysis and tools provided by geographic information systems (GIS.) are exploited in order to extend and improve existing techniques for mapping the spatial distribution of sediment transport processes. The processes of interest comprise mass movements such as solifluction, slope wash, dirty avalanches and rock- and boulder falls. They differ considerably in nature and therefore different approaches for the derivation of their spatial extent are required. A major challenge is addressing the differences between the comparably coarse resolution of the available satellite data (Landsat TM/ETM+, 30 in x 30 m) and the actual scale of sediment transport in this environment. A three-stepped approach has been developed which is based on the concept of Geomorphic Process Units (GPUs): parameterization, process area delineation and combination. Parameters include land cover from satellite data and digital elevation model derivatives. Process areas are identified using a hierarchical classification scheme utilizing thresholds and definition of topology. The approach has been developed for the Karkevagge in Sweden and could be successfully transferred to the Rabotsbekken catchment at Okstindan, Norway using similar input data. Copyright (C) 2008 John Wiley & Sons, Ltd.

Introduction: towards a social archaeology of warfare

The recent explosion of interest in the archaeology of warfare is examined, and some possible reasons behind this trend are explored. Characteristics in the archaeology of warfare are identified in relation to prehistoric and historical archaeology and their contrasting sources of evidence. The androcentric tendency of the archaeology of warfare is discussed, and the major themes of the volume are introduced, including memorial landscapes, commemorative monuments and their conflicting meanings, and the social context of warfare.