29 resultados para Perception of reality
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My aim was to produce a dissertation, based on Rayuela, which focuses on Cortázar’s questioning of identity. With this objective in mind, I have studied some of the salient elements in the novel that relate to this topic and the subsequent, interrelated, areas of study that arose in doing so. The cities of Paris and Buenos Aires are placed in contrast within the novel and reflect a dichotomy that reflects Oliveira’s condition as a “foreigner,” (more specifically as a South American in Europe). This duality is further reflected in Cortázar’s use of gender, and the development of the notions of active and passive, and an investigation into the traditional modes of thought, symbols, and stereotypes, and an open-ended questioning of their validity. These topics are framed by a notion of Judeo-Christian History that is in many ways flawed and, as such, contrasts with a more intuitive (or “oriental”) perception of reality, which is centred in figures such as la Maga. I found many explicit references to Zen philosophy, and related oriental references, that led me to believe that this area was worthy of further investigation. Rayuela is considered a classic novel within the canon of Spanish language literature. It’s famous “tabla,” like the rules for a game between the writer and the receptor that produce alternative readings, has led to many discussions regarding the novel’s structure and form, and also created a certain amount of polemic with the use of concepts such as the “lector hembra.” Many consider Cortázar a greater short story writer than a novelist, but nevertheless this novel had a profound effect on young readers upon its publication, much to Cortázar’s surprise, and continues to attract readers, dealing as it does with issues that continue to be relevant to many people.
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Corporate social responsibility (CSR) literature has largely neglected consumers’ perceptions in the debate regarding the role of CSR in the aftermath of the financial crisis. In that context, this study aims to test the possibility that consumers’ perceptions of CSR level, firm reputation and brand trust, might depend on the type of industry sector of a firm, the level of fit of an initiative or both. By conducting a survey on Portuguese consumers and running a two-way analysis of variance, it suggests that solely the type of industry sector has an effect on consumer perception and that consumers are less tolerable of controversial industries.
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The aim of this research is to evaluate if a premium beauty brand, in this case, Lancôme, can influence positively the purchase intention from Brazilian young adults, between 18 and 29 years old, consumers of beauty products, by initiating a relationship with a local celebrity or “it” girl on social media. This hypothesis has not been tested, and this research is a first attempt of evaluating it. Additionally, the consumer behavior, brand preferences and social media activeness of this age segment in Brazil are further studied as important insights for beauty brands to conquer these consumers. Results did not confirm the positive influence of local celebrities on this age segment’s purchase intention but several suggestions are made for future research to revisit this topic. Furthermore, there is a significant brand love for M.A.C., an international Lancôme competitor, amongst this target, as well as a probable price sensitivity facing premium beauty brands.
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This study aimed to understand employees’ reactions to organizational politics in Contact Centers. Drawing from a sample of 187 supervisor-employee dyads, we studied the relationship between employees’ perceptions of organizational politics and supervisor-rated task performance and deviance, and mediation effects by authenticity at work and affective commitment. Results indicate that workers tend to react to workplace politics with deviant behavior and worse task performance. We found that the relationship between perceived politics and task performance was mediated by authenticity. The relationship between perceived politics and supervisor-rated deviance was mediated by affective commitment to the organization. Implications for management are discussed.
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Progress in Industrial Ecology, An International Journal, nº 4(5), p. 363-381
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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
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This Thesis describes the application of automatic learning methods for a) the classification of organic and metabolic reactions, and b) the mapping of Potential Energy Surfaces(PES). The classification of reactions was approached with two distinct methodologies: a representation of chemical reactions based on NMR data, and a representation of chemical reactions from the reaction equation based on the physico-chemical and topological features of chemical bonds. NMR-based classification of photochemical and enzymatic reactions. Photochemical and metabolic reactions were classified by Kohonen Self-Organizing Maps (Kohonen SOMs) and Random Forests (RFs) taking as input the difference between the 1H NMR spectra of the products and the reactants. The development of such a representation can be applied in automatic analysis of changes in the 1H NMR spectrum of a mixture and their interpretation in terms of the chemical reactions taking place. Examples of possible applications are the monitoring of reaction processes, evaluation of the stability of chemicals, or even the interpretation of metabonomic data. A Kohonen SOM trained with a data set of metabolic reactions catalysed by transferases was able to correctly classify 75% of an independent test set in terms of the EC number subclass. Random Forests improved the correct predictions to 79%. With photochemical reactions classified into 7 groups, an independent test set was classified with 86-93% accuracy. The data set of photochemical reactions was also used to simulate mixtures with two reactions occurring simultaneously. Kohonen SOMs and Feed-Forward Neural Networks (FFNNs) were trained to classify the reactions occurring in a mixture based on the 1H NMR spectra of the products and reactants. Kohonen SOMs allowed the correct assignment of 53-63% of the mixtures (in a test set). Counter-Propagation Neural Networks (CPNNs) gave origin to similar results. The use of supervised learning techniques allowed an improvement in the results. They were improved to 77% of correct assignments when an ensemble of ten FFNNs were used and to 80% when Random Forests were used. This study was performed with NMR data simulated from the molecular structure by the SPINUS program. In the design of one test set, simulated data was combined with experimental data. The results support the proposal of linking databases of chemical reactions to experimental or simulated NMR data for automatic classification of reactions and mixtures of reactions. Genome-scale classification of enzymatic reactions from their reaction equation. The MOLMAP descriptor relies on a Kohonen SOM that defines types of bonds on the basis of their physico-chemical and topological properties. The MOLMAP descriptor of a molecule represents the types of bonds available in that molecule. The MOLMAP descriptor of a reaction is defined as the difference between the MOLMAPs of the products and the reactants, and numerically encodes the pattern of bonds that are broken, changed, and made during a chemical reaction. The automatic perception of chemical similarities between metabolic reactions is required for a variety of applications ranging from the computer validation of classification systems, genome-scale reconstruction (or comparison) of metabolic pathways, to the classification of enzymatic mechanisms. Catalytic functions of proteins are generally described by the EC numbers that are simultaneously employed as identifiers of reactions, enzymes, and enzyme genes, thus linking metabolic and genomic information. Different methods should be available to automatically compare metabolic reactions and for the automatic assignment of EC numbers to reactions still not officially classified. In this study, the genome-scale data set of enzymatic reactions available in the KEGG database was encoded by the MOLMAP descriptors, and was submitted to Kohonen SOMs to compare the resulting map with the official EC number classification, to explore the possibility of predicting EC numbers from the reaction equation, and to assess the internal consistency of the EC classification at the class level. A general agreement with the EC classification was observed, i.e. a relationship between the similarity of MOLMAPs and the similarity of EC numbers. At the same time, MOLMAPs were able to discriminate between EC sub-subclasses. EC numbers could be assigned at the class, subclass, and sub-subclass levels with accuracies up to 92%, 80%, and 70% for independent test sets. The correspondence between chemical similarity of metabolic reactions and their MOLMAP descriptors was applied to the identification of a number of reactions mapped into the same neuron but belonging to different EC classes, which demonstrated the ability of the MOLMAP/SOM approach to verify the internal consistency of classifications in databases of metabolic reactions. RFs were also used to assign the four levels of the EC hierarchy from the reaction equation. EC numbers were correctly assigned in 95%, 90%, 85% and 86% of the cases (for independent test sets) at the class, subclass, sub-subclass and full EC number level,respectively. Experiments for the classification of reactions from the main reactants and products were performed with RFs - EC numbers were assigned at the class, subclass and sub-subclass level with accuracies of 78%, 74% and 63%, respectively. In the course of the experiments with metabolic reactions we suggested that the MOLMAP / SOM concept could be extended to the representation of other levels of metabolic information such as metabolic pathways. Following the MOLMAP idea, the pattern of neurons activated by the reactions of a metabolic pathway is a representation of the reactions involved in that pathway - a descriptor of the metabolic pathway. This reasoning enabled the comparison of different pathways, the automatic classification of pathways, and a classification of organisms based on their biochemical machinery. The three levels of classification (from bonds to metabolic pathways) allowed to map and perceive chemical similarities between metabolic pathways even for pathways of different types of metabolism and pathways that do not share similarities in terms of EC numbers. Mapping of PES by neural networks (NNs). In a first series of experiments, ensembles of Feed-Forward NNs (EnsFFNNs) and Associative Neural Networks (ASNNs) were trained to reproduce PES represented by the Lennard-Jones (LJ) analytical potential function. The accuracy of the method was assessed by comparing the results of molecular dynamics simulations (thermal, structural, and dynamic properties) obtained from the NNs-PES and from the LJ function. The results indicated that for LJ-type potentials, NNs can be trained to generate accurate PES to be used in molecular simulations. EnsFFNNs and ASNNs gave better results than single FFNNs. A remarkable ability of the NNs models to interpolate between distant curves and accurately reproduce potentials to be used in molecular simulations is shown. The purpose of the first study was to systematically analyse the accuracy of different NNs. Our main motivation, however, is reflected in the next study: the mapping of multidimensional PES by NNs to simulate, by Molecular Dynamics or Monte Carlo, the adsorption and self-assembly of solvated organic molecules on noble-metal electrodes. Indeed, for such complex and heterogeneous systems the development of suitable analytical functions that fit quantum mechanical interaction energies is a non-trivial or even impossible task. The data consisted of energy values, from Density Functional Theory (DFT) calculations, at different distances, for several molecular orientations and three electrode adsorption sites. The results indicate that NNs require a data set large enough to cover well the diversity of possible interaction sites, distances, and orientations. NNs trained with such data sets can perform equally well or even better than analytical functions. Therefore, they can be used in molecular simulations, particularly for the ethanol/Au (111) interface which is the case studied in the present Thesis. Once properly trained, the networks are able to produce, as output, any required number of energy points for accurate interpolations.
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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica
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RESUMO: O envelhecimento da população portuguesa é um facto. Esta alteração da estrutura demográfica exige o investimento no conhecimento científico para que se conheçam as consequências a nível, económico, social, cultural, biológico, físico e, principalmente, a nível da saúde. Isto porque, é emergente que a sociedade tenha capacidade para responder às necessidades específicas das pessoas neste estádio de vida, tendo sempre por base o conceito de qualidade de vida. Este estudo teve como objectivo avaliar a percepção do estado de saúde da pessoa idosa institucionalizada. Foram nove as instituições participantes, denominadas por lares de idosos de residência permanente, onde se contou com uma amostra de 75 indivíduos entre os 66 e 100 anos, de ambos os sexos. Foram recolhidos dados através de uma caracterização sócio-demográfica, através do Mini Mental State e através do Questionário de auto-avaliação da saúde e do bem-estar físico (de Fonseca e Paúl, 1999). Os dados obtidos foram trabalhados numa perspectiva de estatística descritiva e estatística inferencial, nomeadamente com a análise do coeficiente de Spearman. A partir desta análise determinou-se que: a grande maioria da amostra designa como “aceitável” ou “fraca” a sua percepção da saúde, em geral; os dados sócio-demográficos, e a instituição a que cada indivíduo pertence não têm relação com a percepção do estado de saúde destas pessoas; existe relação significativa entre a percepção do estado de saúde das pessoas idosas institucionalizadas e a saúde dos seus pares, essencialmente quando se abordam itens relacionados com aspectos físicos; no que concerne aos hábitos de vida, não existe relação entre a percepção do estado de saúde das pessoas idosas e os hábitos tabágicos e os hábitos alcoólicos. Os dados obtidos nem sempre são os dados que se esperavam efectivamente, porém fazem sentido ao serem consolidados com a teoria.--------ABSTRACT: The aging of the Portuguese population is a reality. It is imperative that society has the capacity to face the specific necessities of those who are in this phase of their lives. Therefore, this change in the demographics requires investment in scientific knowledge in order to know the consequences at levels such as: the economic, social cultural, biological and physical, mainly related to health. The main purpose of this study has been to evaluate the perceptions of elderly people concerning their health conditions. There were nine institutions involved, which are referred to as nursing homes, and a sample of 75 people between 66 and 100 years-old, from both genders, cooperated. Data has been collected through social-demographic, Mini Mental State and also through the questionnaire of the self-evaluation of health and physical well-being (from Fonseca and Paúl, 1999). The obtained data was worked within a perspective of descriptive/ inference statistic. From this analysis, it was determined that the great majority of the sample describes their perception of health as “acceptable” or “weak”, in general; the social-demographic information and the institution to where each person belongs do not show a connection with their perception of their health condition; however, there seems to be a significant relation between an institutionalized elderly person´s perception of their health condition and their spouse’s health, mainly when related to physical issues. In as far as life styles are concerned, do not show a connection between elderly people’s perception of health and smoking habits and alcohol habits. The obtained data does not always match expectations; nevertheless they make sense when being complemented by the theory.
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Master Erasmus Mundus Crossways in European Humanities
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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics
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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics
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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
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Dissertação para obtenção do Grau de Doutor em Engenharia Industrial