Risco de frio em arroz irrigado na região de Pelotas e sua relação com o aquecimento global.

2007

Mapeamento da redução do risco de frio em arroz irrigado no Rio Grande do Sul e sua relação com o aquecimento global.

2011

The internationalization process of born global firms in high-tech and low-tech industries: Is there any difference?

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

How to improve supply chain performance of a specialized retailer: Managing landed costs of Zippy’s global supply chain

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

Optimization of randomly amplified polymorphic DNA-polymerase chain reaction for molecular typing of Salmonella enterica serovar Typhi

Optimization of the RAPD reaction for characterizing Salmonella enterica serovar Typhi strains was studied in order to ensure the reproducibility and the discriminatory power of this technique. Eight Salmonella serovar Typhi strains isolated from various regions in Brazil were examined for the fragment patterns produced using different concentrations of DNA template, primer, MgCl2 and Taq DNA polymerase. Using two different low stringency thermal cycle profiles, the RAPD fingerprints obtained were compared. A set of sixteen primers was evaluated for their ability to produce a high number of distinct fragments. We found that variations associated to all of the tested parameters modified the fingerprinting patterns. For the strains of Salmonella enterica serovar Typhi used in this experiment, we have defined a set of conditions for RAPD-PCR reaction, which result in a simple, fast and reproducible typing method.

Evaluation and optimization of a session-based middleware for data management

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Optimization of breast tomosynthesis image reconstruction using parallel computing

Breast cancer is the most common cancer among women, being a major public health problem. Worldwide, X-ray mammography is the current gold-standard for medical imaging of breast cancer. However, it has associated some well-known limitations. The false-negative rates, up to 66% in symptomatic women, and the false-positive rates, up to 60%, are a continued source of concern and debate. These drawbacks prompt the development of other imaging techniques for breast cancer detection, in which Digital Breast Tomosynthesis (DBT) is included. DBT is a 3D radiographic technique that reduces the obscuring effect of tissue overlap and appears to address both issues of false-negative and false-positive rates. The 3D images in DBT are only achieved through image reconstruction methods. These methods play an important role in a clinical setting since there is a need to implement a reconstruction process that is both accurate and fast. This dissertation deals with the optimization of iterative algorithms, with parallel computing through an implementation on Graphics Processing Units (GPUs) to make the 3D reconstruction faster using Compute Unified Device Architecture (CUDA). Iterative algorithms have shown to produce the highest quality DBT images, but since they are computationally intensive, their clinical use is currently rejected. These algorithms have the potential to reduce patient dose in DBT scans. A method of integrating CUDA in Interactive Data Language (IDL) is proposed in order to accelerate the DBT image reconstructions. This method has never been attempted before for DBT. In this work the system matrix calculation, the most computationally expensive part of iterative algorithms, is accelerated. A speedup of 1.6 is achieved proving the fact that GPUs can accelerate the IDL implementation.

Atores num Mundo Global: a análise do ciclo de vida e o processo de avaliação de impacte ambiental como instrumento de apoio à tomada de decisão

O tema da presente dissertação inscreve-se na complexa problemática da informação de suporte à tomada de decisão de infraestruturas básicas, com destaque para as denominadas “Trans European Networks – TENS”, infraestruturas de transportes, energia e telecomunicações. Tais processos de decisão, para além das abordagens mais comuns utilizadas nos Estudos de Impacte Ambiental (EIA), podem (devem?) considerar outras perspetivas assentes em considerações de impactes no ciclo de vida, em concreto a Análise do Ciclo de Vida (ACV), e integrar abordagens de procura de sustentabilidade nas vertentes económicas, ambiental e social. Aí chegados, estaremos mais próximos das estradas com melhor desempenho ambiental. A importância do tema firma-se na constatação da ansiedade e expectativas que normalmente envolvem os processos de decisão deste tipo de infraestruturas, principalmente quando as pessoas tomam conhecimento (1) que a sua concretização pode gerar impactes negativos no ambiente, de forma não limitada ao espaço local onde se inserem, mas antes causando efetivos danos ambientais a uma escala mais global. Nestas circunstâncias é comum sobrevirem processos de tensão entre as necessidades locais, promotoras dos empreendimentos, e as dinâmicas globais, conflitos que podem ser evitados, ou pelo menos atenuados, na medida em que os respetivos processos de decisão sejam mais informados e mais esclarecidos e esclarecedores da opinião pública. Não há dúvida que este género de projetos/empreendimentos/infraestruturas serão tendencialmente mais bem aceites pela Sociedade na medida em que sejam vistos local, regional e globalmente, como “ambientes construídos” que se baseiam na eficiência dos recursos e em princípios ecológicos saudáveis, que contribuem para o desenvolvimento económico, para a melhoria das condições de vida das populações e para a coesão social e territorial.Para um processo de decisão ser convenientemente instruído, é crucial que realce todos estes aspetos perante a sociedade. A estrutura adotada no trabalho articula uma primeira parte de embasamento teórico, com uma segunda parte que experiencia o estudo de um caso concreto, a abordagem de sustentabilidade na procura de uma estrada com satisfatório desempenho ambiental.

Efficiency optimization of the transportation supply chain activity: the maritime option for Volkswagen Autoeuropa

Field Lab of Entrepreneurial Innovative Ventures

Wind Power in the Portuguese Landscape: Global Concerns and Local Costs

Wind turbines and solar panels are becoming second nature in Portugal, as its occurrence in the country becomes ubiquitous. Somehow, one could argue that renewable energy in Portugal is in the process of ‘naturalisation’ as part of a new – mechanised, but environmentally benign – landscape. Portuguese Institute for the Conservation of Nature and Biodiversity (ICNB) has shown an ambiguous stance on this issue, defending global concerns towards renewable energy, while at the same time attempting to engage locals in the preservation of extensive ‘classified areas’. In the course of this research, we tried to focus on these incongruities and to analyse how they are impacting local communities during the process of wind power installation.

An empirical study on the global mindset antecedents

The forces of globalization are changing the skills and competences required by effective global leadership. Accordingly, Business Schools (BSs) must adapt curriculums to the new queries so they, in fact, do develop future leader able to meet the challenges ahead. Increasing attention is being placed on global mindset (GM). Yet, this concept lacks research support. To help fulfilling this gap this research analyzes the effect that cultural intelligence (CQ) and a set of both personal and psychological characteristics have on GM enhancement. Based on a sample of academic students (N=220), findings suggested that CQ, vacations abroad and cosmopolitanism directly increase GM, while # language, PsyCap, TA and CSA do it indirectly. Practical implications for BSs and conclusions finalize this study.

Cost-to-serve customers’ optimization: Macro project Unilever – Jerónimo Martins

The objective of this work project is to analyse and discuss the importance of the “Cost to Serve” as a differentiation key factor, by accessing cost to serve customers of a Portuguese subsidiary of a multinational company, which is operating in the sector of fast moving consumer goods (FMCG) – Unilever – Jerónimo Martins (UJM). I will also suggest and quantify key proposals to decrease costs and increase customers’ value. Hence, the scope of this work project is focused on logistics and distribution processes of the company supply chain.

Enquadramento da Segurança privada nos desafios da segurança global

O estágio, cujo relatório é agora apresentado, foi desenvolvido na Securitas SA., uma das maiores empresas de segurança privada do mundo, com filiais em quase todos os continentes. Procurou-se perceber qual o enquadramento mais adequado ao exercício da segurança privada em Portugal, designadamente no ponto de vista da maior empresa de segurança privada no mundo, face aos novos tipos de ameaça e de necessidades dos seus clientes ou público-alvo. O enfoque da análise assenta nas limitações impostas não pela capacidade técnico-operacional dos prestadores deste tipo de serviço, mas sim pelas restrições impostas pela legislação em vigor e a sua adequação às necessidades demonstradas. O objectivo final é a elaboração de um relatório que deverá conter as considerações que se destacarem no que respeita às dificuldades encontradas e consequentes respostas ou soluções para as mesmas.

DYNAMOD – A dynamic agent based modelling framework for digital businesses

Digital Businesses have become a major driver for economic growth and have seen an explosion of new startups. At the same time, it also includes mature enterprises that have become global giants in a relatively short period of time. Digital Businesses have unique characteristics that make the running and management of a Digital Business much different from traditional offline businesses. Digital businesses respond to online users who are highly interconnected and networked. This enables a rapid flow of word of mouth, at a pace far greater than ever envisioned when dealing with traditional products and services. The relatively low cost of incremental user addition has led to a variety of innovation in pricing of digital products, including various forms of free and freemium pricing models. This thesis explores the unique characteristics and complexities of Digital Businesses and its implications on the design of Digital Business Models and Revenue Models. The thesis proposes an Agent Based Modeling Framework that can be used to develop Simulation Models that simulate the complex dynamics of Digital Businesses and the user interactions between users of a digital product. Such Simulation models can be used for a variety of purposes such as simple forecasting, analysing the impact of market disturbances, analysing the impact of changes in pricing models and optimising the pricing for maximum revenue generation or a balance between growth in usage and revenue generation. These models can be developed for a mature enterprise with a large historical record of user growth rate as well as for early stage enterprises without much historical data. Through three case studies, the thesis demonstrates the applicability of the Framework and its potential applications.