Diffusional kurtosis imaging using a fast heuristic constrained linear least squares algorithm: a plugin for OsiriX

Diffusion Kurtosis Imaging (DKI) is a fairly new magnetic resonance imag-ing (MRI) technique that tackles the non-gaussian motion of water in biological tissues by taking into account the restrictions imposed by tissue microstructure, which are not considered in Diffusion Tensor Imaging (DTI), where the water diffusion is considered purely gaussian. As a result DKI provides more accurate information on biological structures and is able to detect important abnormalities which are not visible in standard DTI analysis. This work regards the development of a tool for DKI computation to be implemented as an OsiriX plugin. Thus, as OsiriX runs under Mac OS X, the pro-gram is written in Objective-C and also makes use of Apple’s Cocoa framework. The whole program is developed in the Xcode integrated development environ-ment (IDE). The plugin implements a fast heuristic constrained linear least squares al-gorithm (CLLS-H) for estimating the diffusion and kurtosis tensors, and offers the user the possibility to choose which maps are to be generated for not only standard DTI quantities such as Mean Diffusion (MD), Radial Diffusion (RD), Axial Diffusion (AD) and Fractional Anisotropy (FA), but also DKI metrics, Mean Kurtosis (MK), Radial Kurtosis (RK) and Axial Kurtosis (AK).The plugin was subjected to both a qualitative and a semi-quantitative analysis which yielded convincing results. A more accurate validation pro-cess is still being developed, after which, and with some few minor adjust-ments the plugin shall become a valid option for DKI computation

A matter of time: Phases of customer co-creation community participation and their impact on customer behavior

Despite the growing relevance of co-creating customer communities only little scientific evidence is available on their impact on transactional behavior of participants. Previous research has mostly used self-reported data or distinguished only between during and pre-community phases obtaining mixed results. However, the author proposes that co-creating community activity takes place in five distinguishable phases and changes in transactional behavior are limited to certain phases. Using 33 months of transactional data of a Dutch online auction provider a study was conducted covering all five phases of the community co-creation process from community planning over community set-up, co-development and co-testing to post-launch. The overall results indicate mixed effects of community participation on the different transactional variables during the co-creation process. Community participation had positive effects on auctions listing behavior at the community set-up, co-development and post-launch phases, whereby the number of auctions listed peaked during the community set-up phase. These results suggest that the impact on transactional behavior differs between co-creation phases and different psychological mechanism limited to certain phases might trigger the respective changes.

How to take advantage of wine tourism: Creation of a new concept for central Alentejo based on its potential and worldwide success factors

Wine Tourism is gaining importance in today’s world and more destinations and establishments have been arising. After understanding the importance of this economic activity and the factors it must have to succeed, a new project was conceived for Central Alentejo taking into account its potential. This project is an example of how to take advantage of Wine Tourism in wine regions that are underexplored, such as Aldeias de Montoito, the village near Redondo to which a Business Plan will be created, explaining the strategies to pursue in order to have a successful Wine Tourism destination.

Mohammad Yunus and microfinance: The creation of a glocal marketspace

This paper reveals how Grameen has been following a Glocal vision in microfinance and defends that following such will ultimately benefit the social and financial objectives of microfinance institutions. Furthermore, this study identified that microfinance institutions are facing various environmental and organizational constraints in the implementation of a Glocal approach. The research follows a case-study methodology and makes a comparison between Grameen Bank, two of its replicator programs in Pakistan and India and two microfinance organizations in Portugal and France.

Lifetime-value creation through a customized offer adressed to diferent lifestyles

This paper purposes a method for marketing segmentation based on customers‟ lifestyle. A quantitative and qualitative segmentation established by the Whitaker Lifestyle™ Method was created in order to define a concrete and clear identification of the customer, by understanding the behavior, style and preferences of each segment. After conducting 18 in-depth interviews, it was concluded that four main personas characterize the customer base of the company. These four personas will be the support for the creation of „quick-wins‟ that address to the expectations of each lifestyle, projecting a significant impact on the lifetime-value of the company‟s customer base

Value creation in the nursing home real estate investment market - A case study

The underlying thesis examines the value drivers of direct investments in nursing home real estate in Germany. A survey among investors and operators is conducted in order to identify significant value drivers. Moreover, based on survey results, a framework for assessing German nursing home real estate is developed. This is applied in a case-study about the set-up of a nursing home value-add fund which will demonstrate the value creation process of redeveloping an existing nursing home real estate portfolio. Through a concluding analysis the sources of value creation, sensitivities and future prospects of direct investing into German nursing home real estate are concluded.

EDP - A new estimation algorithm

The aim of this work project is to analyze the current algorithm used by EDP to estimate their clients’ electrical energy consumptions, create a new algorithm and compare the advantages and disadvantages of both. This new algorithm is different from the current one as it incorporates some effects from temperature variations. The results of the comparison show that this new algorithm with temperature variables performed better than the same algorithm without temperature variables, although there is still potential for further improvements of the current algorithm, if the prediction model is estimated using a sample of daily data, which is the case of the current EDP algorithm.

Análise comparativa das readmissões hospitalares nas Unidades Locais de Saúde (ULS) e nos Hospitais

RESUMO - Introdução: Os modelos organizacionais de saúde baseados na gestão integrada de cuidados têm permitido melhorar os resultados em saúde. A taxa de readmissão hospitalar (um indicador de resultados) tem diminuído nas instituições que adotaram aquele modelo de gestão. Em Portugal, a criação das Unidades Locais de Saúde, representa a adoção de um modelo baseado na gestão integrada entre os cuidados de saúde hospitalares, primários e continuados, pelo que importa comparar a taxa de readmissões hospitalares entre os hospitais com esse modelo e os restantes Hospitais. Metodologia: Determinaram-se as readmissões não planeadas a 30 dias nos hospitais públicos portugueses do Continente durante 2013, segundo a metodologia do Centers for Medicare and Medicaid Service, que usa um algoritmo que identifica as readmissões que são habitualmente planeadas e podem ocorrer no prazo de 30 dias após a alta hospitalar. Foi calculada a taxa anual de readmissão por tipo de hospital e a sua frequência por género, faixa etária e para indivíduos com insuficiência cardíaca, doença pulmonar obstrutiva crónica, diabetes mellitus e hipertensão arterial. Resultados: Dos 692.211 episódios de internamento de 2013, 6,0% corresponderam a readmissões hospitalares não planeadas a 30 dias. Os episódios de internamento nas Unidades Locais de Saúde foram 72.725, sendo 6,6% readmitidos. Nos restantes Hospitais foram 619.486, sendo 6,0% readmitidos. A taxa de readmissão registada nos indivíduos do sexo masculino foi superior à do sexo feminino nas Unidades Locais de Saúde (7,6% vs. 6,0%) e nos restantes Hospitais (6,7% vs. 5,4%), não sendo esta diferença estatisticamente significativa (p> 0,05). Foram identificadas diferenças estatisticamente significativas (p <0,05) nas taxas de readmissão por faixa etária, sendo as pessoas com 65 anos ou mais as que apresentaram a maior taxa de readmissão nas Unidades Locais de Saúde (10,3%) e nos restantes Hospitais (10,0%). Quando analisadas as readmissões por patologia, nas Unidades Locais de Saúde os doentes com doença pulmonar obstrutiva crónica foram os que apresentaram a maior taxa de readmissão (17,5%) e os doentes com insuficiência cardíaca os que apresentaram a maior taxa de readmissão para os restantes Hospitais (16,4%). Conclusão: Em termos gerais, a frequência das readmissões nas Unidades Locais de Saúde é superior à dos restantes Hospitais. Os resultados obtidos podem indicar dificuldades na operacionalização do modelo de gestão adotado pelas Unidades Locais de Saúde, nomeadamente falhas na coordenação dos cuidados entre os diferentes níveis de prestação de cuidados.

Generalized Dasymetric Mapping Algorithm for Accessing Land-Use Change

Contém resumo

Consulting project for Câmara Municipal de Cascais street vending in Portugal- creation and development of a new sales channel

Field lab: Consulting lab

The value creation radar applied to the space engineering sector

This case study illustrates the application of the Value Creation Radar (VCR) to SenSyF, an Earth Observation (EO) system which was developed by Deimos Engenharia S.A. (DME), the Portuguese affiliate of Elecnor Deimos. It describes how a team of consultants adopted the VCR in order to find new market applications for SenSyF, selected the one with the highest potential, and defined a path to guarantee a sustainable market launch. This case study highlights the main challenges of bringing a technology-driven company closer to the market in the pursuit of long-term sustainability, while not compromising its technological capabilities

Genetic algorithm for shipping route estimation with long-range tracking data : automatic reconstruction of shipping routes based on the historical ship positions for maritime safety applications

Ship tracking systems allow Maritime Organizations that are concerned with the Safety at Sea to obtain information on the current location and route of merchant vessels. Thanks to Space technology in recent years the geographical coverage of the ship tracking platforms has increased significantly, from radar based near-shore traffic monitoring towards a worldwide picture of the maritime traffic situation. The long-range tracking systems currently in operations allow the storage of ship position data over many years: a valuable source of knowledge about the shipping routes between different ocean regions. The outcome of this Master project is a software prototype for the estimation of the most operated shipping route between any two geographical locations. The analysis is based on the historical ship positions acquired with long-range tracking systems. The proposed approach makes use of a Genetic Algorithm applied on a training set of relevant ship positions extracted from the long-term storage tracking database of the European Maritime Safety Agency (EMSA). The analysis of some representative shipping routes is presented and the quality of the results and their operational applications are assessed by a Maritime Safety expert.

Connect to success- consulting program of the U.S. embassy Lisbon creation of a business plan for “Quinta dos I’s”

The purpose of this project is to analyse and evaluate if the rural tourism cottage Quinta dos I’s will be profitable within the first five years of operation. It starts with a brief description of the business, followed by an industry analysis of the rural tourism market in Portugal and an intensive competitor analysis to evaluate Quinta dos I’s’ competitive advantages. The project then defines a marketing plan to generate awareness and establish the cottage in the market. Finally, a financial analysis is performed to examine the outcome of Quinta dos I’s’ recommended strategic activities. The results of this project show that the cottage is profitable after the first year of operation and expects to grow annually.

Parallelization of kinetic Monte Carlo algorithm to simulate AL3Sc precipitation

The present paper reports the precipitation process of Al3Sc structures in an aluminum scandium alloy, which has been simulated with a synchronous parallel kinetic Monte Carlo (spkMC) algorithm. The spkMC implementation is based on the vacancy diffusion mechanism. To filter the raw data generated by the spkMC simulations, the density-based clustering with noise (DBSCAN) method has been employed. spkMC and DBSCAN algorithms were implemented in the C language and using MPI library. The simulations were conducted in the SeARCH cluster located at the University of Minho. The Al3Sc precipitation was successfully simulated at the atomistic scale with the spkMC. DBSCAN proved to be a valuable aid to identify the precipitates by performing a cluster analysis of the simulation results. The achieved simulations results are in good agreement with those reported in the literature under sequential kinetic Monte Carlo simulations (kMC). The parallel implementation of kMC has provided a 4x speedup over the sequential version.

Solving large 0–1 multidimensional knapsack problems by a new simplified binary artificial fish swarm algorithm

The artificial fish swarm algorithm has recently been emerged in continuous global optimization. It uses points of a population in space to identify the position of fish in the school. Many real-world optimization problems are described by 0-1 multidimensional knapsack problems that are NP-hard. In the last decades several exact as well as heuristic methods have been proposed for solving these problems. In this paper, a new simpli ed binary version of the artificial fish swarm algorithm is presented, where a point/ fish is represented by a binary string of 0/1 bits. Trial points are created by using crossover and mutation in the different fi sh behavior that are randomly selected by using two user de ned probability values. In order to make the points feasible the presented algorithm uses a random heuristic drop item procedure followed by an add item procedure aiming to increase the profit throughout the adding of more items in the knapsack. A cyclic reinitialization of 50% of the population, and a simple local search that allows the progress of a small percentage of points towards optimality and after that refines the best point in the population greatly improve the quality of the solutions. The presented method is tested on a set of benchmark instances and a comparison with other methods available in literature is shown. The comparison shows that the proposed method can be an alternative method for solving these problems.