Implementação da estratégia de marketing sensorial: uma abordagem empírica

Dissertação de Mestrado, Ciências Económicas e Empresariais, 16 de Dezembro 2013, Universidade dos Açores.

Bases dos sistemas de numeração

O texto aborda a mudança de base numérica, da base dez para a base dois, explicitando os conceitos base de compreensão em relação aos constituintes principais de uma base numérica.

Multiplier adjustment in data envelopment analysis

V Congreso de Eficiencia y Productividad EFIUCO, Córdoba, 19-20 Mayo 2011.

Relação existente entre as exportações e as restrições financeiras das empresas industriais do setor têxtil

Dissertação de Mestrado em Finanças Empresariais

Corporate brand identity in higher education: a relational perspective

Identity is traditionally defined as an emission concept (Kapferer, 2008). Yet, some research points out that there are external factors that that can influence it (Kennedy, 1975; Markwick e Fill, 1997; Balmer e Gray, 2000). This subject is even more interesting if one considers corporate brands. According to Aaker (2004) the number, the power and the credibility of corporate associations are bigger in the case corporate brands. Literature recognizes the influence of relationships between companies in identity management (Hakansson and Snehota, 1989, 1995; Hakansson and Ford, 2002). Yet, given the increasingly important role of corporate brands, it is surprising that to date no attempt to evaluate that influence has been made in corporate brand´s identity management and reputation. Also Keller and Lehman (2006) highlight relationships and costumer experience as two areas requiring more investigation. The authors argue that corporate brand´s identity can be developed under a relational perspective using relationships with other recognised brands in order to generate positive reputations in stakeholders. Based in relationship and corporate brand identity management, a framework is developed to identify how corporate brands select, develop and invest in relationships with other brands. The context of the proposed relationship concept is the services area (Dwyer et al, 1987; Moorman et al, 1992; Rauyruen et al, 2005 and Hennig-Thurau and Klee, 1997). An empirical qualitative research is designed using two reputational technological higher education institutions (two corporate brands) acting in Portuguese public higher education market.

Modelling the distribution of cetaceans using opportunistic presence-only data in S. Miguel Island (Azores)

25th Annual Conference of the European Cetacean Society, Cadiz, Spain 21-23 March 2011.

Analysis of residence patterns of Sperm whales (Physeter macrocephalus) in Azores Islands using opportunistic data

27th Annual Conference of the European Cetacean Society. Setúbal, Portugal, 8-10 April 2013.

Data analysis model selection for estimating local population size of the Risso’s dolphin (Grampus griseus) in the Azores

27th Annual Conference of the European Cetacean Society. Setúbal, Portugal, 8-10 April 2013.

Aplicação web para tratamento estatístico de dados de teste

Mestrado em Engenharia Electrotécnica e de Computadores

Interpretation of gravity data to delineate structural features connected to low-temperature geothermal resources at Northeastern Portugal

A great number of low-temperature geothermal fields occur in Northern-Portugal related to fractured rocks. The most important superficial manifestations of these hydrothermal systems appear in pull-apart tectonic basins and are strongly conditioned by the orientation of the main fault systems in the region. This work presents the interpretation of gravity gradient maps and 3D inversion model produced from a regional gravity survey. The horizontal gradients reveal a complex fault system. The obtained 3D model of density contrast puts into evidence the main fault zone in the region and the depth distribution of the granitic bodies. Their relationship with the hydrothermal systems supports the conceptual models elaborated from hydrochemical and isotopic water analyses. This work emphasizes the importance of the role of the gravity method and analysis to better understand the connection between hydrothermal systems and the fractured rock pattern and surrounding geology. (c) 2013 Elsevier B.V. All rights reserved.

Necessidades de formação em educação para a saúde em contexto escolar: contributos para os currículos de enfermagem

Tese de Doutoramento, Educação (Desenvolvimento Curricular), 9 de Dezembro de 2013, Universidade dos Açores.

Os preços de transferência e o âmbito de intervenção do auditor: abordagem e enquadramento

Dissertação de Mestrado apresentado ao Instituto de Contabilidade e Administração do obtenção do grau de Mestre em Auditoria Auditoria, sob orientação de Adalmiro Álvaro Malheiro de Castro Andrade

Sistema de correlação de eventos e notificações - SCEN

Mestrado em Engenharia Electrotécnica e de Computadores

Classification and staging of chronic liver disease from multimodal data

Chronic liver disease (CLD) is most of the time an asymptomatic, progressive, and ultimately potentially fatal disease. In this study, an automatic hierarchical procedure to stage CLD using ultrasound images, laboratory tests, and clinical records are described. The first stage of the proposed method, called clinical based classifier (CBC), discriminates healthy from pathologic conditions. When nonhealthy conditions are detected, the method refines the results in three exclusive pathologies in a hierarchical basis: 1) chronic hepatitis; 2) compensated cirrhosis; and 3) decompensated cirrhosis. The features used as well as the classifiers (Bayes, Parzen, support vector machine, and k-nearest neighbor) are optimally selected for each stage. A large multimodal feature database was specifically built for this study containing 30 chronic hepatitis cases, 34 compensated cirrhosis cases, and 36 decompensated cirrhosis cases, all validated after histopathologic analysis by liver biopsy. The CBC classification scheme outperformed the nonhierachical one against all scheme, achieving an overall accuracy of 98.67% for the normal detector, 87.45% for the chronic hepatitis detector, and 95.71% for the cirrhosis detector.

Data mining framework for fatty liver disease classification in ultrasound: a hybrid feature extraction paradigm

PURPOSE: Fatty liver disease (FLD) is an increasing prevalent disease that can be reversed if detected early. Ultrasound is the safest and ubiquitous method for identifying FLD. Since expert sonographers are required to accurately interpret the liver ultrasound images, lack of the same will result in interobserver variability. For more objective interpretation, high accuracy, and quick second opinions, computer aided diagnostic (CAD) techniques may be exploited. The purpose of this work is to develop one such CAD technique for accurate classification of normal livers and abnormal livers affected by FLD. METHODS: In this paper, the authors present a CAD technique (called Symtosis) that uses a novel combination of significant features based on the texture, wavelet transform, and higher order spectra of the liver ultrasound images in various supervised learning-based classifiers in order to determine parameters that classify normal and FLD-affected abnormal livers. RESULTS: On evaluating the proposed technique on a database of 58 abnormal and 42 normal liver ultrasound images, the authors were able to achieve a high classification accuracy of 93.3% using the decision tree classifier. CONCLUSIONS: This high accuracy added to the completely automated classification procedure makes the authors' proposed technique highly suitable for clinical deployment and usage.