Efficient advertising strategies for the fragrance market

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

The late adopter scale: A measure of late adopters of technological innovations

Diffusion of Innovation is a topic of interest for researchers and practitioners. Although substantial research is conducted on user categories, researchers often focus on the first half of the curve, ignoring the late adopters. We conduct two studies to measure the attributes of late adopters. In our first study of mobile phone users, we develop the Late-Adopter Scale. We then test it on a sample of laptop users. This scale is multi-dimensional, presents nomological and discriminant validity and has three dimensions: 1) rate of adoption, 2) resistance to innovation, and 3) skepticism. Findings reveal that all three Late Adopter Scale dimensions are significantly associated with low price preference. Moreover, in both samples skepticism is associated with high preference for simple products, lower leading edge status, and lower product involvement. Discussion focuses on implications of this new scale to theory and practice of new product development and diffusion of innovation.

New integrative computational approaches unveil the Saccharomyces cerevisiae pheno-metabolomic fermentative profile and allow strain selection for winemaking

During must fermentation by Saccharomyces cerevisiae strains thousands of volatile aroma compounds are formed. The objective of the present work was to adapt computational approaches to analyze pheno-metabolomic diversity of a S. cerevisiae strain collection with different origins. Phenotypic and genetic characterization together with individual must fermentations were performed, and metabolites relevant to aromatic profiles were determined. Experimental results were projected onto a common coordinates system, revealing 17 statistical-relevant multi-dimensional modules, combining sets of most-correlated features of noteworthy biological importance. The present method allowed, as a breakthrough, to combine genetic, phenotypic and metabolomic data, which has not been possible so far due to difficulties in comparing different types of data. Therefore, the proposed computational approach revealed as successful to shed light into the holistic characterization of S. cerevisiae pheno-metabolome in must fermentative conditions. This will allow the identification of combined relevant features with application in selection of good winemaking strains.

Enfoques sobre la ciudadanía. Philosophical Perspectives on Citizenship.

La necesidad que da origen al presente proyecto se relaciona con la ausencia de un tratamiento de la cuestión de la ciudadanía que haga interactuar distintos enfoques filosóficos -el principal indicador de esta carencia es la ausencia de producciones académicas que den cuenta de la complejidad que adquiere la temática si se la aborda desde los problemas que nos proporcionan otras perspectivas filosóficas y políticas-. En este sentido, el problema general del proyecto apunta a hacer discutir diferentes abordajes conceptuales para pensar la ciudadanía. Específicamente, trabajamos a partir de dos enfoques: 1) la discusión entre liberales y comunitaristas y sus actuales derivas y 2) la cuestión de la biopolítica y su relación con la temática de la ciudadanía. Se procura revisar la discusión liberales-comunitaristas propia de las ciencias políticas, interpelándola a partir de conceptos como los de dominación, relaciones de poder, control sobre la vida, disciplina, entre otros provenientes de la filosofía práctica, la teoría social, las ciencias de la educación, etc. Nuestra investigación parte de la hipótesis de que hacer discutir las problemáticas que se disputan liberales-comunitaristas, con la Teoría Crítica de la Escuela de Frankfurt y con los recientes fenómenos biopolíticos, permite un abordaje que atiende a la efectiva complejidad de las prácticas de ciudadanía en nuestra vida en común en las sociedades democráticas contemporáneas. Esto permitirá complejizar los presupuestos con los que tradicionalmente se ha pensado la ciudadanía, a partir sobre todo de los fenómenos socio-políticos más recientes, como los nuevos movimientos sociales, las discusiones acerca de la legislación del aborto y la eutanasia, los esfuerzos de los estados nacionales por incrementar medidas de seguridad que van desde la imposición de fuertes barreras a la inmigración hasta la realización de guerras preventivas. Entendemos que estos, entre otros fenómenos, desafían la hermenéutica tradicional sobre la ciudadanía. Es de esta manera que se buscará comprender los límites y alcances de las ideas de ciudadanía, entendiéndola como un concepto histórico formador de subjetividades. La metodología se basa en una perspectiva interdisciplinaria que proporciona las herramientas para un análisis conceptual de la temática de la ciudadanía. Esta metodología está orientada al desarrollo de un marco teórico que resulte productivo para investigaciones de campo en las ciencias sociales, así como también para la elaboración de un material bibliográfico destinado a docentes abocados a la ciudadanía. Otro de los propósitos fundamentales es el de formar una red entre diferentes equipos de investigación a nivel nacional a partir de las “I Jornadas Nacionales sobre Ciudadanía” y de la organización de un seminario especializado con un profesor visitante. As far as the general topic of citizenship concerns philosophy, the theoretical problem of how to reconcile the different perspectives, assuming that this is an enterprise that can be done, remains an open question. Furthermore, the absence of academic material dealing with the problem seems to be a good indicator of this tendency. The main focus of the present Project aims at coping with some of the most notorious theoretical approaches to citizenship. More specifically, we will analyze the next two approaches: 1) the debate libertarians-communitarians and 2) the relationship between biopolitics and citizenship. Our purpose is to revise the discussion libertarians-communitarians incorporating concepts such as domination, power-relationships, life-control, among others that find their roots in practical philosophy, social theory, education and so on. To the extent that theories of citizenship are only provided with the usual conceptual machinery, some of the most remarkable phenomena of our democratic societies will stand for them out of reach: the existence of new social movements, abortion and euthanasia, inmigration, etc. Our hypothesis is that by making the debate libertarians-communitarians interact with the Critical Theory as well as with biopolitical concepts, we will be in a better position to try to understand these diverse phenomena. With the development of some sort of a new hermeneutics, we expect to criticize the old ideas related to citizenship and to re-elaborate them in a way that allows us to understand this concept in a less-fundamental, historical sense. Methodologically, we will adopt a multi-dimensional approach which expects to be fruitful to many other investigations in the area of social sciences. The Project pretends to be useful as a consultation resource for educators in a bibliographical index to design their curricula. At the same time,a seminar with a visiting profesor, the organization of a Congres will be our main objectives.

Visual data analysis in air traffic management

Visual data mining, multi-dimensional scaling, POLARMAP, Sammon's mapping, clustering, outlier detection

Technological trampolines for new venture creation in Catalonia: the case of the University of Girona

Recent trends in technology transfer show an intensification of spin-off creation as a modality of university research commercialisation, complementary to the conventional ones, contract research and licensing. In this paper we analyse the evolution, objectives, resources and activities of a specialised unit –Technological Trampoline (TT) - in charge of new venture creation at the University of Girona (Catalonia-Spain). Based on two theoretical frameworks, Resource-based-view and Institutional Theory, we adopt a multi-dimensional approach to study the strategy of spinning-off new ventures at the University of Girona in terms of resources and activities, how this process is organised and if the outputs fit with this UdG’s objectives and the local environment. Our main contribution is an in-depth analysis of the spin-off creation unit with special emphasis on its variety of resources and activities. The results have a series of implications and recommendations at both university and TT level.

Globalization and Europeanization: Analysing Change

The main motivation for exploring the relationship between globalization and Europeanization is the understanding of the importance of exogenous factors for policy change at the domestic level. Can we distinguish the impact of Europeanization to that of globalization? What is the relationship between globalization and Europeanization and what can we learn about the impact of the two phenomena upon political institutions, public policies, identities and values of EU member-states? Can we distinguish the traces of globalization to those of Europeanization upon the domestic level? The paper draws upon International Relations and International Political Economy theories of globalization as well as upon the Europeanization literature. Both phenomena are multi-dimensional and in order to assess their impact and their relationship three dimensions are explored: political institutions, public policies and values and identities. It is concluded that the two phenomena are interwoven and that there is no antithetical relationship between them. Their core is similar, based on the values of neo-liberalism, representative democracy and open market economy.

Relationship between trade openness and economic growth of India: A time series analysis

The paper aims to examine the empirical relationship between trade openness and economic growth of India for the time period 1970-2010. Trade openness is a multi-dimensional concept and hence measures of both trade barriers and trade volumes have been used as proxies for openness. The estimation results from Vector Autoregressive method suggest that growth in trade volumes accelerate economic growth in case of India. We do not find any evidence from our analysis that trade barriers lower growth.

A Simple Characterization of Dynamic Completeness in Continuous Time

This paper investigates dynamic completeness of financial markets in which the underlying risk process is a multi-dimensional Brownian motion and the risky securities dividends geometric Brownian motions. A sufficient condition, that the instantaneous dispersion matrix of the relative dividends is non-degenerate, was established recently in the literature for single-commodity, pure-exchange economies with many heterogenous agents, under the assumption that the intermediate flows of all dividends, utilities, and endowments are analytic functions. For the current setting, a different mathematical argument in which analyticity is not needed shows that a slightly weaker condition suffices for general pricing kernels. That is, dynamic completeness obtains irrespectively of preferences, endowments, and other structural elements (such as whether or not the budget constraints include only pure exchange, whether or not the time horizon is finite with lump-sum dividends available on the terminal date, etc.)

The Spillover Effects of Monitoring: A Field Experiment.

We provide field experimental evidence of the effects of monitoring in a context where productivity is multi-dimensional and only one dimension is monitored and incentivised. We hire students to do a job for us. The job consists of identifying euro coins. We study the effects of monitoring and penalising mistakes on work quality, and evaluate spillovers on non- incentivised dimensions of productivity (punctuality and theft). We .nd that monitoring improves work quality only if incentives are large, but reduces punctuality substantially irrespectively of the size of incentives. Monitoring does not affect theft, with ten per cent of participants stealing overall. Our setting also allows us to disentangle between possible theoretical mechanisms driving the adverse effects of monitoring. Our .ndings are supportive of a reciprocity mechanism, whereby workers retaliate for being distrusted.

Simulació numèrica de fenòmens de transferència de calor i dinàmics de fluids transitoris

The work carried out during the 4 year research activity can be barely classified in two main lines. On the one hand, a considerable effort is taken to address issues related with the verification of multi-dimensional and transient solutions that are obtained by numerical simulations. Within the studied cases, we can consider cases of piston-cylinder ows within geometries similar to those of hermetic reciprocating compressors.This issue is mentioned in Part I. On the other hand, numerical simulations of different phenomena have been performed. More emphasis has been given to the natural convection ow within enclosures. This is explained in Part II. The case extensively studied has been the natural convection ow. The natural convection ow within enclosures has attracted the attention of many researchers due to its potential to model numerous applications of engineering interest, such as cooling of electronic devices, air ow in buildings, heat transfer in solar collectors, among others. The natural convection studies corresponding to the parallelepipedic enclosures can be classified into two elementary classes: i) heating from a horizontal wall (heating from below); ii) heating from a vertical wall. The characteristic example of the former case is the Rayleigh-B_enard ow, however this research is on the cavities heated from the side. This configuration is referred commonly as the differentially heated cavity.

Host specialist clownfishes are environmental niche generalists.

Why generalist and specialist species coexist in nature is a question that has interested evolutionary biologists for a long time. While the coexistence of specialists and generalists exploiting resources on a single ecological dimension has been theoretically and empirically explored, biological systems with multiple resource dimensions (e.g. trophic, ecological) are less well understood. Yet, such systems may provide an alternative to the classical theory of stable evolutionary coexistence of generalist and specialist species on a single resource dimension. We explore such systems and the potential trade-offs between different resource dimensions in clownfishes. All species of this iconic clade are obligate mutualists with sea anemones yet show interspecific variation in anemone host specificity. Moreover, clownfishes developed variable environmental specialization across their distribution. In this study, we test for the existence of a relationship between host-specificity (number of anemones associated with a clownfish species) and environmental-specificity (expressed as the size of the ecological niche breadth across climatic gradients). We find a negative correlation between host range and environmental specificities in temperature, salinity and pH, probably indicating a trade-off between both types of specialization forcing species to specialize only in a single direction. Trade-offs in a multi-dimensional resource space could be a novel way of explaining the coexistence of generalist and specialists.

Machine learning algorithms for spatial data. Case studies: Environmental pollution, natural hazards, renewable resources

This paper presents general problems and approaches for the spatial data analysis using machine learning algorithms. Machine learning is a very powerful approach to adaptive data analysis, modelling and visualisation. The key feature of the machine learning algorithms is that they learn from empirical data and can be used in cases when the modelled environmental phenomena are hidden, nonlinear, noisy and highly variable in space and in time. Most of the machines learning algorithms are universal and adaptive modelling tools developed to solve basic problems of learning from data: classification/pattern recognition, regression/mapping and probability density modelling. In the present report some of the widely used machine learning algorithms, namely artificial neural networks (ANN) of different architectures and Support Vector Machines (SVM), are adapted to the problems of the analysis and modelling of geo-spatial data. Machine learning algorithms have an important advantage over traditional models of spatial statistics when problems are considered in a high dimensional geo-feature spaces, when the dimension of space exceeds 5. Such features are usually generated, for example, from digital elevation models, remote sensing images, etc. An important extension of models concerns considering of real space constrains like geomorphology, networks, and other natural structures. Recent developments in semi-supervised learning can improve modelling of environmental phenomena taking into account on geo-manifolds. An important part of the study deals with the analysis of relevant variables and models' inputs. This problem is approached by using different feature selection/feature extraction nonlinear tools. To demonstrate the application of machine learning algorithms several interesting case studies are considered: digital soil mapping using SVM, automatic mapping of soil and water system pollution using ANN; natural hazards risk analysis (avalanches, landslides), assessments of renewable resources (wind fields) with SVM and ANN models, etc. The dimensionality of spaces considered varies from 2 to more than 30. Figures 1, 2, 3 demonstrate some results of the studies and their outputs. Finally, the results of environmental mapping are discussed and compared with traditional models of geostatistics.

Clustering and hot spot detection in socio-economic spatio-temporal data

Distribution of socio-economic features in urban space is an important source of information for land and transportation planning. The metropolization phenomenon has changed the distribution of types of professions in space and has given birth to different spatial patterns that the urban planner must know in order to plan a sustainable city. Such distributions can be discovered by statistical and learning algorithms through different methods. In this paper, an unsupervised classification method and a cluster detection method are discussed and applied to analyze the socio-economic structure of Switzerland. The unsupervised classification method, based on Ward's classification and self-organized maps, is used to classify the municipalities of the country and allows to reduce a highly-dimensional input information to interpret the socio-economic landscape. The cluster detection method, the spatial scan statistics, is used in a more specific manner in order to detect hot spots of certain types of service activities. The method is applied to the distribution services in the agglomeration of Lausanne. Results show the emergence of new centralities and can be analyzed in both transportation and social terms.

Age does not hamper the response to pulmonary rehabilitation of COPD patients

Pulmonary rehabilitation (PR) improves health status and exercise tolerance, but not respiratory function in patients with chronic obstructive pulmonary disease (COPD). The objective of the study was to identify predictors of improvement in the 6-min walked distance (6'WD) in elderly COPD patients after PR. Methods: this was a prospective observational study performed in an ambulatory rehabilitation setting. The authors enrolled 74 patients aged 65-83 years (mean: 74.2, SD: 4.4) with stable COPD in GOLD stage 3-4. About half (45.6%) of them had a basal O2 saturation of 90% or less. After a baseline multi-dimensional assessment, patients underwent a 20-session rehabilitation cycle including training of the upper and lower extremities, and respiratory exercises, along with education sessions.