Detecting and evaluating land cover change in the eastern half of East Timor (1972-2011)

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Patterns in financial markets: Dynamic time warping

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

Modelling and Forecasting Mortality Patterns

Thesis submitted in partial fulfillment of the requirements for the Degree of Doctor of Statistics and Information Management

Dynamics of innovation patterns: some insights for Portugal

Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Gestão de Informação

The impact of Ireland’s current Mental Health Policy on the profile of community mental Health Services

RESUMO: Em 2006, foi aprovada uma nova política governamental para a saúde mental intitulada “Uma Visão para a Mudança”, a qual está neste momento no sétimo ano de implementação. A política descreve um enquadramento para o desenvolvimento e promoção da saúde mental positiva para toda a Comunidade e para a prestação de serviços acessíveis, baseados na comunidade, serviços especializados para pessoas com doença mental. A implementação da política e o tornar a “Vision for Change” uma realidade têm sido problemáticos, com críticas consideráveis por parte dos intervenientes, relativas à lenta e desconexa implementação. Este estudo fornece informação sobre as características dos serviços de três importantes tipos de instituições de saúde mental comunitária a nível nacional, nomeadamente Hospitais de Dia, Centros de Dia e residências comunitárias operantes 24 horas. A pesquisa analisa objetivos e funções, perfis dos pacientes, atividades terapêuticas, a eficácia das redes de comunicação e beneficia da perspectiva dos funcionários sobre o que mudou no terreno ao longo dos últimos sete anos. As questões identificadas a partir das características dos três serviços dizem respeito a todos. Os participantes indicaram que o ethos da recuperação parece ter alcançado um papel mais central no tratamento do paciente na comunidade mas reconheceram que o desafio de integrar os princípios de recuperação na prática clínica se mantém presente. Parece ser reconhecida a importância da planificação do cuidado individual nos serviços comunitários e os entrevistados indicaram que existe um empenho para garantir o envolvimento do usuário do serviço. Há diferenças entre os „pontos de vista do pessoal‟ e os „pontos de vista dos representantes‟ sobre uma série de aspetos da prestação de serviços. Este é o primeiro estudo irlandês deste género a examinar a prestação de serviços das três principais instituições comunitárias de saúde mental num só estudo. Estes serviços representam um enorme investimento em recursos, quer a nível monetário, quer humano. O estudo examinou os desafios e as questões fundamentais que lhe são aplicáveis e que têm impacto nestes três tipos de prestação de serviços. Também forneceu informações sobre os elementos de mudança positiva, os quais se começam a focar lentamente na prestação do serviço, assim como na importância da centralidade do utilizador do serviço e na promoção de um ethos da recuperação.----------ABSTRACT: In 2006, a new Government policy for mental health “A Vision for Change” was endorsed and is currently in the seventh year of implementation. The policy describes a comprehensive framework for building and fostering positive mental health across the entire community and for providing accessible, community based, specialist services for people with mental illness. The implementation of the policy and turning “Vision for Change” into reality has been problematic with considerable criticism from stakeholders concerning slow and disjointed implementation. This study provides information on three key community mental health service settings, namely Day Hospitals, Day Centres and 24 Hour Community Residences at a national level. The research looks at aims and functions, patient profiles, therapeutic activities, effectiveness of key communication networks and gains an insight from staff on what has changed on the ground over the past seven years. Issues identified from the three service settings pertain to all. Participants indicated that the recovery ethos appears to have moved to a more central role in patient care in the community but acknowledged that the challenge of integrating recovery principles in clinical practice remains present. The importance of individual care planning appears to be recognised in community services and respondents indicated that efforts are being made to ensure service user involvement. There were differences between „staff views‟ and „advocate views‟ on a number of aspects of service provision. This is the first Irish study of its kind to examine service provision across the three main community mental health settings in one study. These services represent a huge investment in resources both on a monetary and human level. This study has examined the challenges and key issues which are applicable and impacting on all three types of service provision. It has also provided information on the elements of positive change, which are slowly embedding themselves in service provision such as the importance of the centricity of the service user and the promotion of a recovery ethos.

Prescription patterns of pharmaceuticals

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

Spatial Patterns and Irregularities of the electoral data: general elections in Canada

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Dynamic adaptation of interaction models for stateful web services

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Development of a satellite based PM10 concentration product for urban areas

Dissertação para obtenção do Grau de Doutor em Engenharia do Ambiente

A solution for estimates in software development projects

The Corporate world is becoming more and more competitive. This leads organisations to adapt to this reality, by adopting more efficient processes, which result in a decrease in cost as well as an increase of product quality. One of these processes consists in making proposals to clients, which necessarily include a cost estimation of the project. This estimation is the main focus of this project. In particular, one of the goals is to evaluate which estimation models fit the Altran Portugal software factory the most, the organization where the fieldwork of this thesis will be carried out. There is no broad agreement about which is the type of estimation model more suitable to be used in software projects. Concerning contexts where there is plenty of objective information available to be used as input to an estimation model, model-based methods usually yield better results than the expert judgment. However, what happens more frequently is not having this volume and quality of information, which has a negative impact in the model-based methods performance, favouring the usage of expert judgement. In practice, most organisations use expert judgment, making themselves dependent on the expert. A common problem found is that the performance of the expert’s estimation depends on his previous experience with identical projects. This means that when new types of projects arrive, the estimation will have an unpredictable accuracy. Moreover, different experts will make different estimates, based on their individual experience. As a result, the company will not directly attain a continuous growing knowledge about how the estimate should be carried. Estimation models depend on the input information collected from previous projects, the size of the project database and the resources available. Altran currently does not store the input information from previous projects in a systematic way. It has a small project database and a team of experts. Our work is targeted to companies that operate in similar contexts. We start by gathering information from the organisation in order to identify which estimation approaches can be applied considering the organization’s context. A gap analysis is used to understand what type of information the company would have to collect so that other approaches would become available. Based on our assessment, in our opinion, expert judgment is the most adequate approach for Altran Portugal, in the current context. We analysed past development and evolution projects from Altran Portugal and assessed their estimates. This resulted in the identification of common estimation deviations, errors, and patterns, which lead to the proposal of metrics to help estimators produce estimates leveraging past projects quantitative and qualitative information in a convenient way. This dissertation aims to contribute to more realistic estimates, by identifying shortcomings in the current estimation process and supporting the self-improvement of the process, by gathering as much relevant information as possible from each finished project.

Context-based identification of energy consumption in industrial plants

Nowadays, reducing energy consumption is one of the highest priorities and biggest challenges faced worldwide and in particular in the industrial sector. Given the increasing trend of consumption and the current economical crisis, identifying cost reductions on the most energy-intensive sectors has become one of the main concerns among companies and researchers. Particularly in industrial environments, energy consumption is affected by several factors, namely production factors(e.g. equipments), human (e.g. operators experience), environmental (e.g. temperature), among others, which influence the way of how energy is used across the plant. Therefore, several approaches for identifying consumption causes have been suggested and discussed. However, the existing methods only provide guidelines for energy consumption and have shown difficulties in explaining certain energy consumption patterns due to the lack of structure to incorporate context influence, hence are not able to track down the causes of consumption to a process level, where optimization measures can actually take place. This dissertation proposes a new approach to tackle this issue, by on-line estimation of context-based energy consumption models, which are able to map operating context to consumption patterns. Context identification is performed by regression tree algorithms. Energy consumption estimation is achieved by means of a multi-model architecture using multiple RLS algorithms, locally estimated for each operating context. Lastly, the proposed approach is applied to a real cement plant grinding circuit. Experimental results prove the viability of the overall system, regarding both automatic context identification and energy consumption estimation.

Tool for discovering sequential patterns in financial markets

The goal of this thesis is the study of a tool that can help analysts in finding sequential patterns. This tool will have a focus on financial markets. A study will be made on how new and relevant knowledge can be mined from real life information, potentially giving investors, market analysts, and economists new basis to make informed decisions. The Ramex Forum algorithm will be used as a basis for the tool, due to its ability to find sequential patterns in financial data. So that it further adapts to the needs of the thesis, a study of relevant improvements to the algorithm will be made. Another important aspect of this algorithm is the way that it displays the patterns found, even with good results it is difficult to find relevant patterns among all the studied samples without a proper result visualization component. As such, different combinations of parameterizations and ways to visualize data will be evaluated and their influence in the analysis of those patterns will be discussed. In order to properly evaluate the utility of this tool, case studies will be performed as a final test. Real information will be used to produce results and those will be evaluated in regards to their accuracy, interest, and relevance.

Evaluation of motor neuron excitability by CMAP scanning with modulated current

It is important to have better evaluation and understanding of the motor neuron physiology, with the goal to early and objectively diagnose and treat patients with neurodegenerative pathologies. The Compound Muscle Action Potential (CMAP) scan is a non-invasive diagnosis technique for neurodegenerative pathologies, such as ALS, and enables a quick analysis of the muscle action potentials in response to motor nerve stimulation. This work aims to study the influence of different pulse modulated waveforms in peripheral nerve excitability by CMAP scan technique on healthy subjects. A total of 13 healthy subjects were submitted to the same test. The stimuli were applied in the medium nerve on the right wrist and electromyography signal collected on the Abductor Pollicis Brevis (APB) muscle surface on the right thumb. Stimulation was performed with an increasing intensities range from 4 to 30 mA, with varying steps, 3 stimuli per step. The procedure was repeated 4 times per subject, each repetition using a different single pulse stimulation waveform: monophasic square, monophasic triangular, monophasic quadratic and biphasic square. Results were retrieved from the averaging of the stimuli on each current intensity step. The square pulse needs less current intensity to generate the same response amplitude regarding the other waves and presents a more steep curve slope and this effect is gradually decreasing for the triangular and quadratic pulse,respectively, being the difference even more evident regarding the biphasic pulse. The control of the waveform stimulation pulse allows varying the stimulusresponse curve slope.

Politicization of non-political events

Spatial analysis and social network analysis typically take into consideration social processes in specific contexts of geographical or network space. The research in political science increasingly strives to model heterogeneity and spatial dependence. To better understand and geographically model the relationship between “non-political” events, streaming data from social networks, and political climate was the primary objective of the current study. Geographic information systems (GIS) are useful tools in the organization and analysis of streaming data from social networks. In this study, geographical and statistical analysis were combined in order to define the temporal and spatial nature of the data eminating from the popular social network Twitter during the 2014 FIFA World Cup. The study spans the entire globe because Twitter’s geotagging function, the fundamental data that makes this study possible, is not limited to a geographic area. By examining the public reactions to an inherenlty non-political event, this study serves to illuminate broader questions about social behavior and spatial dependence. From a practical perspective, the analyses demonstrate how the discussion of political topics fluсtuate according to football matches. Tableau and Rapidminer, in addition to a set basic statistical methods, were applied to find patterns in the social behavior in space and time in different geographic regions. It was found some insight into the relationship between an ostensibly non-political event – the World Cup - and public opinion transmitted by social media. The methodology could serve as a prototype for future studies and guide policy makers in governmental and non-governmental organizations in gauging the public opinion in certain geographic locations.