Watershed-scale runoff routing and solute transport in a spatially aggregated hydrological framework

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

A knowledge-based framework to facilitate E-training implementation

Dissertação para obtenção do Grau de Mestre em Engenharia Eletrotécnica e de Computadores

Barreiras e facilitadores à implementação de um modelo de gestão de cuidados em Saúde Mental

RESUMO: Enquadramento teórico - Os estudos epidemiológicos demonstram que apesar de todo o progresso científico, muitas pessoas continuam sem acesso aos Serviços de Saúde Mental (SSM) e que, em muitos casos, os cuidados não têm a qualidade suficiente. A experiência de vários países mostra que os processos de implementação de modelos de intervenção terapêutica, como é o da Gestão de Cuidados, são lentos e complexos, não dependendo somente do grau de efectividade ou da complexidade das práticas a implementar. O Modelo de Gestão de Cuidados (MGC), é definido como uma prática baseada na evidência, utilizada para ajudar os doentes nos seus processos de recuperação. As estratégias para implementar práticas baseadas na evidência são críticas para a melhoria dos serviços. Existem, apesar de toda a evidência, muitas barreiras à implementação. Ao constatarmos que as práticas validadas pela ciência estão longe de estar claramente disseminadas nos serviços de saúde mental, fundamentamos a necessidade de utilizar metodologia de implementação que, além da efectividade das práticas, permita uma efectividade da implementação. Para responder às necessidades de formação e no âmbito da implementação do Plano Nacional de Saúde Mental, foram formados, em Portugal, 170 profissionais de saúde mental provenientes de serviços públicos e do sector social, de todas as regiões de Portugal Continental. Considerando que estes profissionais adquiriram competências específicas no MGC, através de um programa de formação nacional idêntico para todos os serviços de saúde mental, investigámos o grau de implementação deste modelo, bem como os facilitadores e as barreiras à sua correcta implementação. Existem vários estudos internacionais sobre as barreiras e os facilitadores à implementação de práticas baseadas na evidência, embora a maior parte desses estudos seja baseado em entrevistas semi-estruturadas a profissionais. Por outro lado, não existem, em Portugal, estudos sobre as barreiras e os facilitadores à implementação de práticas de saúde mental. Objectivos 1. Estimar o grau da implementação do MGC nos serviços de saúde mental portugueses 2. Caracterizar as regiões onde a implementação do MGC tenha ocorrido em maior grau. 3. Identificar os factores facilitadores e as barreiras à implementação do MGC, entre as regiõesde saúde do país. 4. Explorar as relações entre a fidelidade da implementação, as barreiras e os facilitadores da implementação, a cultura organizacional e as características dos serviços de saúde mental. Metodologia Estudo observacional, transversal e descritivo, com características exploratórias. População: profissionais dos serviços de saúde mental públicos e do sector social que frequentaram o Programa Nacional de Formação em Saúde Mental Comunitária no curso “Cuidados Integrados e Recuperação”, da Coordenação Nacional para a Saúde Mental / Ministério da Saúde, entre Outubro de 2008 e Dezembro de 2009, (n=71). Avaliação Fidelidade de implementação do Modelo de Gestão de Cuidados - IMR-S (Illness Management and Recovery Scale); Qualidade das guidelines utilizadas na implementação do Modelo de Gestão de Cuidados - AGREE II-PT (Appraisal of Guidelines, for Research and Evaluation); Avaliação das Barreiras e Facilitadores à implementação do MGC - BaFAI (Barriers and Facilitators Assessment Instrument); Avaliação da Cultura Organizacional dos serviços de saúde mental - CVF-I (Competing Values Framework Instrument). Análise Estatística Para a descrição dos dados foram aplicados métodos de estatística descritiva. Para a comparação de subgrupos foram utilizados os testes de Mann Whitney e Kruskall-Wallis. Para a investigação de associações foram utilizados os métodos de correlação de Spearman e a Regressão Múltipla. O tratamento e análise dos dados foram realizados utilizando o programa estatístico IBM SPSS Statistics® para Mac/Apple® nas versões 19 e 20. Resultados Serviços: A articulação com os cuidados de saúde primários existe na maioria dos serviços (56.34%) e 77.46% dos serviços têm autonomia para definir os cuidados a prestar. A maioria dos serviços (63.38%) realiza duas ou mais reuniões clínicas por mês e a quase totalidade (95.77%) recebe estagiários e/ou internos. A área da investigação tem níveis considerados baixos, quando comparados com outros países da Europa, tanto para a globalidade das áreas de investigação (25.35%), como para as áreas psicossociais (22.54%). Considerando componentes fundamentais para a implementação de modelos de gestão de cuidados, os resultados nacionais indicam que 66.20% dos serviços fazem registos em processo clínico único. As percentagens de utilização de planos individuais de cuidados são globalmente baixas (46.48%). Por seu turno, a utilização de guidelines, nos serviços do país, tem uma percentagem média nacional de 57.75%. Profissionais: São, na sua maioria, do sexo feminino (69.01%), com idades entre os 25 e os 56 anos (média 38.9, ± 7.41). Pertencem, maioritariamente, aos grupos profissionais da enfermagem (23.94%) e da psicologia (49.30%). A formação dos profissionais é de nível superior em todos os grupos, com uma percentagem total de licenciados de 80.3%, tendo os restantes uma formação ao nível do mestrado. Apesar dos valores baixos (17%) de formação prévia em modelos de gestão de cuidados, 39% dos profissionais indicou utilizar algumas vertentes destes modelos na sua prática. Apesar de 97,18% dos profissionais ter participado em dois ou mais encontros científicos, num período de dois anos, apenas 38.03% apresentou alguma comunicação científica no mesmo intervalo. Guideline: Os resultados da avaliação da guideline do MGC indicaram percentagens mais altas, quanto à qualidade do seu desenvolvimento, nos Domínios 1 (Objectivo e finalidade, com 72.2%) e 4 (Clareza de Apresentação, 77.7%). O Domínio 5 (Aplicabilidade) foi pontuado no limite inferior do desenvolvimento com qualidade suficiente (54.1%), ao passo que a guideline obteve uma pontuação negativa nos Domínios 2 (Envolvimento das partes interessadas, com 41.6%) e 3 (Rigor do Desenvolvimento, com 28.1%). Adicionalmente não foi possível às avaliadoras cotar o Domínio 6 (Independência editorial), por ausência de referências neste contexto. A guideline teve uma avaliação global positiva (66%), com recomendação de aceitação com modificações. Cultura Organizacional: O perfil de liderança com maior frequência nos serviços de saúde mental portugueses foi o de Mentor (45.61%). As percentagens mais baixas pertenceram aos perfis Monitor e Inovador (3.51%). Na perspectiva da cultura organizacional dos serviços, apontuação mais alta foi a da Cultura das Relações Humanas (74.07%). A estratégia de liderança, com predomínio em todas as regiões, foi a estratégia de Flexibilidade (66.10%). Os resultados mostram que a única associação positivamente significativa com o grau da implementação do MGC é a do perfil Produtor, com um peso específico de 14.55% na prevalência dos perfis de liderança nos serviços de saúde mental portugueses. Barreiras: As barreiras à implementação da prática do MGC, identificadas pelos profissionais dos serviços de saúde mental, com percentagens mais altas nos totais do país, foram: o tempo (57.7%), o conhecimento sobre o modelo e a motivação (40.8%), a colaboração dos outros profissionais (33.7%), o número de contactos reduzidos com os doentes (35.2%), as insuficiências do ponto de vista dos espaços (70.4%) e dos instrumentos disponíveis (69%) para implementar o MGC. Existiu uma variação entre as regiões de saúde do país. Os resultados mostram que houve uma correlação negativa, de forma significativa, entre a implementação do MGC e as barreiras: da resistência à utilização de protocolos, do formato da prática, da necessidade de mais treino e da não cooperação dos profissionais. Foram encontradas diferenças estatisticamente significativas entre as barreiras à implementação e as características dos serviços, dos profissionais e da cultura organizacional. Implementação: A média nacional da fidelidade de implementação do MGC (41.48) teve valores aproximados aos de estudos similares. Na pontuação por regiões, a implementação com maior fidelidade ocorreu no Alentejo. Se considerarmos a implementação com fidelidade esta ocorreu em 57.75% dos serviços e uma boa implementação em 15.49%. Os métodos de regressão permitiram confirmar a capacidade preditiva das barreiras e da cultura organizacional quanto à fidelidade da implementação do MGC. Discussão: No universo das hipóteses inicialmente colocadas foi possível verificar a variação da implementação do MGC entre as regiões do país. O estudo permitiu, adicionalmente, concluir pela existência de denominadores comuns de maior sucesso da implementação do MGC. Foi ainda possível verificar uma relação significativa, existente entre o grau de implementação e as dimensões das barreiras, a cultura organizacional e os recursos dos SSM (aqui definidos pelas características dos serviços e dos profissionais). De uma forma mais conclusiva podemos afirmar que existem outros factores, que não estão relacionados com a avaliação restrita dos recursos financeiros ou humanos, associados à qualidade da implementação de práticas baseadas na evidência, como o MGC. Exemplo disso são os achados referentes à região de saúde do Alentejo, onde a distância dos grandes centros urbanos e as conhecidas dificuldades de acessibilidade, combinadas com os problemas conhecidos da falta de recursos, não impediram que fosse a região com os valores mais altos da fidelidade de implementação. Conclusões: Foram encontradas inúmeras barreiras à implementação do MGC. Existem barreiras diferentes entre regiões, que resultam das características dos serviços, dos profissionais e da cultura organizacional. Para existir implementação é necessária a consideração de metodologias próprias que vão para além dos tradicionais programas de formação. As práticas baseadas na evidência, amplamente defendidas, exigem implementações baseadas na evidência.-------------ABSTRACT: Introduction - Several epidemiological studies show that, despite all scientific progress, many people still continue to have no access to mental health services and in many situations the quality of care is poor. The experiences of several countries show that progress towards case management implementation is slow and complex, depending not only from the degree of effectiveness or the complexity of the practice. Case management is defined as an evidence-based practice used to help patients in the recovery process. Strategies to implement evidence-based practices are critical to services improvement. There are many barriers to their implementation, despite all available evidence. Realising that practices of proved scientific value are far from being clearly implemented, justifies the need to use implementation methodologies that, beyond practice effectiveness, allow implementation effectiveness. To answer training needs and in the framework of the National Mental Health Plan implementation, 170 mental health (MH) professionals from portuguese public and private sectors were trained. Considering that case management skills were acquired, as a result of this training programme, we decided to study the degree of implementation in the services.Barriers and facilitators to the implementation were studied as well. There are several studies related with barriers and facilitators to the implementation of evidence-based practices, but most of them use semi-structured interviews with professionals. Additionally, there are no studies in Portugal related with barriers and facilitators to the implementation of mental health practices. Objectives1. Estimate the degree of case management implementation in Portuguese MH Services. 2.Describe regions where implementation occurred with higher fidelity degree. 3. Identify barriers and facilitators to case management implementation across country regions. 4. Explore the relationships between implementation, barriers and facilitators, organisational culture and services characteristics. Methodology - Cross sectional, descriptive study. Assessments - Implementation fidelity - IMR-S (Illness Management and Recovery Scale); Guideline quality - AGREE II-PT (Appraisal of Guidelines, for Research and Evaluation); Barriers and facilitators assessment - BaFAI (Barriers and Facilitators Assessment Instrument); Organisational culture assessment - CVF-I (Competing Values Framework Instrument). Statistical analysis - Descriptives and cross-tabs. Subgroups comparison: Mann-Witney and Kruskall-Wallis. Associations between variables were calculated using Spearman correlation's and Multiple Regression. Results - Services: Liaison with primary care is done in most services (56.34%) and 77.46% have autonomy to determine care. Most services have regular clinical meetings and almost all give internship training (95.77%). Research activity is low compared with other European countries, for both general and psychosocial research. Considering key components for the case management implementation, 66.20% of all services use single clinical records. The use of individual care plans is globally low (46.48%) and there is a use of guidelines in 57.75% of services. Human Resources: most are women (69.01%), with age ranging from 25-56 (average 39.9, SD 7.41). The majority are psychologists (49.30%) and nurses (23.94%). All have a university degree, 19.7% have a masters degree and 83% didn’t have any case management training before the above mentioned national training. Despite the low levels of preceding case management training, 39% have used model components in day-to-day practice and although 97.18% of the workforce have attended scientific meetings in the last 2 years, only 38.03% presented communications in the same period. Guideline: Results show that higher scores were obtained in Domain 1. Scope and Purpose (72.2.%),and Domain 4. Clarity of presentation (77.7%). Domain 5. pplicability scored near low boundary (54.1%) and negative scores were found in Domain 2. Stakeholder Involvement (41.6%) and Domain 3. Rigour of Development (28.1%). Global score was 66% and the guideline was recommended with modifications. Organisational Culture: The most frequent leadership profile was the Mentor profile (45.61%). Lower scores belonged to Innovator and Monitor profiles (3.51%). On the organisational culture overall, higher scores were found in the Human Relations culture (74.07%). The higher leadership strategy was the strategy of flexibility (66.10%). The results additionally showed that the only leadership profile associated with case management implementation was the Producer profile, representing 14.55% of all leadership profiles in the country.Barriers: The barriers identified by MH professionals, with high percentages, were: lack of time (57.7%), knowledge and motivation (40.8%), other colleagues cooperation (33.7%), low number of contacts with patients (35.2%), lack of facilities (70.4%) and lack of instruments (69%) to implement case management, varying across regions. Results show that there was a negative correlation between implementation and the following barriers: using protocols, practice format, need for more training and lack of cooperation from colleagues. Additionally, statistical differences were found between barriers to implementation and: services characteristics, workforce characteristics, organisational culture. Implementation: The national average results of case management implementation fidelity was (41.48), close to values found in similar studies. In the regional scores South Region Alentejo had the highest implementation score. If we look at minimum scores to assume implementation fidelity, these occurred in 57.75% of services and a good implementation occurred in 15.49% of these. Regression methods allowed to confirm that implementation score prediction was possible using the combination of barriers and organisational culture scores. Discussion - Considering the initial study hypotheses, it was possible to confirm the variation of case management implementation across country regions. Additionally, we could conclude that common denominators exist when successful implementation occurred. It was possible to observe a significant relationship between implementation degree and the dimensions of barriers, organisational culture and services resources (defined as professionals and services characteristics). In a more conclusive way, we can say that there are factors, other than financial and human resources, that are associated with evidence based practices implementation like case management. An example is the Alentejo region, were the distance from urban centres, and the known difficulties associated with accessibility, plus the lack of financial and human resources, have not impeded the regional higher score on implementation. Conclusions: Case management implementation had several barriers to implementation. There are different barriers across country regions, resulting from organisational culture, services and professionals characteristics. To reach implementation it is necessary to consider specific methodologies that go beyond traditional training programs and evident practices, widely promoted. Evidence-based practices require evidence-based implementations.

Heterogeneous computing with an algorithmic skeleton framework

The Graphics Processing Unit (GPU) is present in almost every modern day personal computer. Despite its specific purpose design, they have been increasingly used for general computations with very good results. Hence, there is a growing effort from the community to seamlessly integrate this kind of devices in everyday computing. However, to fully exploit the potential of a system comprising GPUs and CPUs, these devices should be presented to the programmer as a single platform. The efficient combination of the power of CPU and GPU devices is highly dependent on each device’s characteristics, resulting in platform specific applications that cannot be ported to different systems. Also, the most efficient work balance among devices is highly dependable on the computations to be performed and respective data sizes. In this work, we propose a solution for heterogeneous environments based on the abstraction level provided by algorithmic skeletons. Our goal is to take full advantage of the power of all CPU and GPU devices present in a system, without the need for different kernel implementations nor explicit work-distribution.To that end, we extended Marrow, an algorithmic skeleton framework for multi-GPUs, to support CPU computations and efficiently balance the work-load between devices. Our approach is based on an offline training execution that identifies the ideal work balance and platform configurations for a given application and input data size. The evaluation of this work shows that the combination of CPU and GPU devices can significantly boost the performance of our benchmarks in the tested environments, when compared to GPU-only executions.

A framework for efficient model transformations

The reported productivity gains while using models and model transformations to develop entire systems, after almost a decade of experience applying model-driven approaches for system development, are already undeniable benefits of this approach. However, the slowness of higher-level, rule based model transformation languages hinders the applicability of this approach to industrial scales. Lower-level, and efficient, languages can be used but productivity and easy maintenance seize to exist. The abstraction penalty problem is not new, it also exists for high-level, object oriented languages but everyone is using them now. Why is not everyone using rule based model transformation languages then? In this thesis, we propose a framework, comprised of a language and its respective environment, designed to tackle the most performance critical operation of high-level model transformation languages: the pattern matching. This framework shows that it is possible to mitigate the performance penalty while still using high-level model transformation languages.

A new MDA-SOA based framework for intercloud interoperability

Cloud computing has been one of the most important topics in Information Technology which aims to assure scalable and reliable on-demand services over the Internet. The expansion of the application scope of cloud services would require cooperation between clouds from different providers that have heterogeneous functionalities. This collaboration between different cloud vendors can provide better Quality of Services (QoS) at the lower price. However, current cloud systems have been developed without concerns of seamless cloud interconnection, and actually they do not support intercloud interoperability to enable collaboration between cloud service providers. Hence, the PhD work is motivated to address interoperability issue between cloud providers as a challenging research objective. This thesis proposes a new framework which supports inter-cloud interoperability in a heterogeneous computing resource cloud environment with the goal of dispatching the workload to the most effective clouds available at runtime. Analysing different methodologies that have been applied to resolve various problem scenarios related to interoperability lead us to exploit Model Driven Architecture (MDA) and Service Oriented Architecture (SOA) methods as appropriate approaches for our inter-cloud framework. Moreover, since distributing the operations in a cloud-based environment is a nondeterministic polynomial time (NP-complete) problem, a Genetic Algorithm (GA) based job scheduler proposed as a part of interoperability framework, offering workload migration with the best performance at the least cost. A new Agent Based Simulation (ABS) approach is proposed to model the inter-cloud environment with three types of agents: Cloud Subscriber agent, Cloud Provider agent, and Job agent. The ABS model is proposed to evaluate the proposed framework.

Towards an algorithmic skeleton framework for programming the Intel R Xeon PhiTM processor

The Intel R Xeon PhiTM is the first processor based on Intel’s MIC (Many Integrated Cores) architecture. It is a co-processor specially tailored for data-parallel computations, whose basic architectural design is similar to the ones of GPUs (Graphics Processing Units), leveraging the use of many integrated low computational cores to perform parallel computations. The main novelty of the MIC architecture, relatively to GPUs, is its compatibility with the Intel x86 architecture. This enables the use of many of the tools commonly available for the parallel programming of x86-based architectures, which may lead to a smaller learning curve. However, programming the Xeon Phi still entails aspects intrinsic to accelerator-based computing, in general, and to the MIC architecture, in particular. In this thesis we advocate the use of algorithmic skeletons for programming the Xeon Phi. Algorithmic skeletons abstract the complexity inherent to parallel programming, hiding details such as resource management, parallel decomposition, inter-execution flow communication, thus removing these concerns from the programmer’s mind. In this context, the goal of the thesis is to lay the foundations for the development of a simple but powerful and efficient skeleton framework for the programming of the Xeon Phi processor. For this purpose we build upon Marrow, an existing framework for the orchestration of OpenCLTM computations in multi-GPU and CPU environments. We extend Marrow to execute both OpenCL and C++ parallel computations on the Xeon Phi. We evaluate the newly developed framework, several well-known benchmarks, like Saxpy and N-Body, will be used to compare, not only its performance to the existing framework when executing on the co-processor, but also to assess the performance on the Xeon Phi versus a multi-GPU environment.

Framework for the semantic alignment of enterprise’s domain knowledge

Nowadays, the consumption of goods and services on the Internet are increasing in a constant motion. Small and Medium Enterprises (SMEs) mostly from the traditional industry sectors are usually make business in weak and fragile market sectors, where customized products and services prevail. To survive and compete in the actual markets they have to readjust their business strategies by creating new manufacturing processes and establishing new business networks through new technological approaches. In order to compete with big enterprises, these partnerships aim the sharing of resources, knowledge and strategies to boost the sector’s business consolidation through the creation of dynamic manufacturing networks. To facilitate such demand, it is proposed the development of a centralized information system, which allows enterprises to select and create dynamic manufacturing networks that would have the capability to monitor all the manufacturing process, including the assembly, packaging and distribution phases. Even the networking partners that come from the same area have multi and heterogeneous representations of the same knowledge, denoting their own view of the domain. Thus, different conceptual, semantic, and consequently, diverse lexically knowledge representations may occur in the network, causing non-transparent sharing of information and interoperability inconsistencies. The creation of a framework supported by a tool that in a flexible way would enable the identification, classification and resolution of such semantic heterogeneities is required. This tool will support the network in the semantic mapping establishments, to facilitate the various enterprises information systems integration.

Caracterização dos beneficiários do Programa De volta para casa de Belo Horizonte/MG/Brasil quanto à autonomia e comportamento social

RESUMO: INTRODUÇÃO E OBJETIVOS: Trata-se de estudo transversal descritivo, em etapa única, cujo objetivo foi traçar o perfil dos beneficiários do Programa De volta para casa (PVC), munícipes de Belo Horizonte / Minas Gerais / Brasil, quanto ás habilidades de vida independente (autonomia) e comportamento social. MÉTODO: O universo inicial de beneficiários era de 210, em julho de 2013, data de aprovação do protocolo. Por questões operacionais, o público-alvo considerado e estudado foi de 121 beneficiários. Foram utilizados como instrumentos as escalas Independent Living Skills Survey (ILSS) e Social Behavior Scale (SBS). Foi feita a análise estatística dos dados e os resultados foram analisados à luz do paradigma emergente de produção social da saúde. RESULTADOS: Considerando o total válido estudado de 121 beneficiários, os resultados revelaram que 82,4% apresentam diagnóstico de esquizofrenia e 62% eram do sexo masculino. Apresentaram média de idade de 57,9 anos e tempo médio de internação psiquiátrica antes de inserção no programa de 30,9 anos. Quanto à autonomia, os resultados da ILSS revelaram uma média global de 1,6 sendo que os melhores índices foram alcançados nos subitens Cuidados pessoais (2,69), Alimentação (2,53), Saúde (2,07) e os piores índices foram encontrados nos subitens Emprego (0,47), Lazer (0,86) e Preparo e armazenamento de alimentos (0,98). Quanto aos problemas no comportamento social, os resultados da SBS revelaram uma média global de 0,69 sendo que as áreas de maiores dificuldade foram: Rir ou falar sozinho (40,5%), Incoerência da fala (29%), Auto-cuidado precário e Pouca atividade (ambas com 25,6% cada). As áreas de menores dificuldades, ainda quanto à SBS, foram: Idéias suicidas 92,4%), Comportamento sexual inapropriado (7,4%) e Depressão (9,9%). CONCLUSÃO: Concluiu-se que o perfil dos beneficiários do PVC, quanto à autonomia e aos problemas de comportamento social, aponta para médias relativamente baixas. O desafio para o enfrentamento desta questão deverá considerar estratégias múltiplas de ação à luz do paradigma emergente de saúde e da reabilitação psicossocial que priorize o empoderamento e protagonismo do beneficiário. É necessário o desenvolvimento de outros estudos que ampliem o evidenciamento desta clientela no que tange às suas reais necessidades e potencialidades para que se possa efetivar o ajuste necessário para a legitimação do programa enquanto ação efetivo-eficaz de promoção de saúde.-------------ABSTRACT: descriptive cross-sectional study in a single stage was conducted to investigate independent living skills and social behavior profile of beneficiaries of Programa De Volta para casa (PVC) who live in Belo Horizonte/Minas Gerais/Brazil. METHODS: The target population included a total of 210 individuals in july 2013, when the study was approved by the ethics committees. Because of operational reasons only 121 individuals were evaluated. Data were collected using the Independent Living Skills Survey (ILSS) and the Social Behavior Scale (SBS). Statistical results were analyzed considering as a reference framework both the emerging paradigm of social health production. RESULTS: Considering a sample of 121 individuals, results revealed that 82.4% were diagnosed with schizophrenia, and 62% were male. The mean age was 57.9 years and the mean stay in the psychiatric hospital prior to PVC was 30.9 years. Independent living skills measured by ILSS revealed a global mean of 1.6, and the best scores were in the following subscales: personal care (2.69), feeding (2.53) and health (2.07). On the other hand, the worst scores were in the following subscales: employment (0.47), leisure (0.86) and food preparation (0.98). Impairment of social functioning measured by SBS revealed a global mean of 0.69, and the best scores were in the following subscales: laughing and talking by itself (40.5%), conversation: incoherence (29%), appearance and personal hygiene (25.6%), and idleness (25.6%). The worst scores were in the following subscales: suicidal ideations (92.4%), improper sexual behavior (7.4%), and depression (9.9%). CONCLUSION: It was concluded that the profile of PVC beneficiaries, regarding their autonomy and their problems of social behavior, points to a relatively low average. The challenge of facing this issue should consider multiple strategies of intervention that prioritizes the empowerment and leadership of the beneficiaries, based on the emerging paradigm of health and psychosocial rehabilitation as a reference framework. The development of other studies that expand the evidencing of this target population with respect to their real needs and capabilities in order to carry out the necessary adjustments for the legitimacy of the program as effective health promotion action is required.

Methodological framework for detection of harmonisation breaking in service environments

As the complexity of markets and the dynamicity of systems evolve, the need for interoperable systems capable of strengthening enterprise communication effectiveness increases. This is particularly significant when it comes to collaborative enterprise networks, like manufacturing supply chains, where several companies work, communicate, and depend on each other, in order to achieve a specific goal. Once interoperability is achieved, that is once all network parties are able to communicate with and understand each other, organisations are able to exchange information along a stable environment that follows agreed laws. However, as markets adapt to new requirements and demands, an evolutionary behaviour is triggered giving space to interoperability problems, thus disrupting the sustainability of interoperability and raising the need to develop monitoring activities capable of detecting and preventing unexpected behaviour. This work seeks to contribute to the development of monitoring techniques for interoperable SOA-based enterprise networks. It focuses on the automatic detection of harmonisation breaking events during real-time communications, and strives to develop and propose a methodological approach to handle these disruptions with minimal or no human intervention, hence providing existing service-based networks with the ability to detect and promptly react to interoperability issues.

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.

Knowledge management framework based on brain models and human physiology

The life of humans and most living beings depend on sensation and perception for the best assessment of the surrounding world. Sensorial organs acquire a variety of stimuli that are interpreted and integrated in our brain for immediate use or stored in memory for later recall. Among the reasoning aspects, a person has to decide what to do with available information. Emotions are classifiers of collected information, assigning a personal meaning to objects, events and individuals, making part of our own identity. Emotions play a decisive role in cognitive processes as reasoning, decision and memory by assigning relevance to collected information. The access to pervasive computing devices, empowered by the ability to sense and perceive the world, provides new forms of acquiring and integrating information. But prior to data assessment on its usefulness, systems must capture and ensure that data is properly managed for diverse possible goals. Portable and wearable devices are now able to gather and store information, from the environment and from our body, using cloud based services and Internet connections. Systems limitations in handling sensorial data, compared with our sensorial capabilities constitute an identified problem. Another problem is the lack of interoperability between humans and devices, as they do not properly understand human’s emotional states and human needs. Addressing those problems is a motivation for the present research work. The mission hereby assumed is to include sensorial and physiological data into a Framework that will be able to manage collected data towards human cognitive functions, supported by a new data model. By learning from selected human functional and behavioural models and reasoning over collected data, the Framework aims at providing evaluation on a person’s emotional state, for empowering human centric applications, along with the capability of storing episodic information on a person’s life with physiologic indicators on emotional states to be used by new generation applications.

Instrumental Fado: a generative interactive system

Fado was listed as UNESCO Intangible Cultural Heritage in 2011. This dissertation describes a theoretical model, as well as an automatic system, able to generate instrumental music based on the musics and vocal sounds typically associated with fado’s practice. A description of the phenomenon of fado, its musics and vocal sounds, based on ethnographic, historical sources and empirical data is presented. The data includes the creation of a digital corpus, of musical transcriptions, identified as fado, and statistical analysis via music information retrieval techniques. The second part consists in the formulation of a theory and the coding of a symbolic model, as a proof of concept, for the automatic generation of instrumental music based on the one in the corpus.

The Beglocal framework applied to B2C E-commerce

This case-study examined the use of the BeGloCal Framework applied to B2C E-commerce, for a fast moving consumer goods European manufacturing firm. It explains how the framework supported the team within the company to identify the right local market as to where to start the project, the problem for the company was to find the most appealing area to invest resources. By going through all the steps of the framework the findings led the company to London (Kensington and Chelsea). It shows how managers should act when they have to find a trade-off between standardization and adaptation.

A new credit monitoring framework for agents' networks

The purpose of this work is to develop a practicable approach for Telecom firms to manage the credit risk exposition to their commercial agents’ network. Particularly it will try to approach the problem of credit concession to clients’ from a corporation perspective and explore the particular scenario of agents that are part of the commercial chain of the corporation and therefore are not end-users. The agents’ network that served as a model for the presented study is composed by companies that, at the same time, are both clients and suppliers of the Telecommunication Company. In that sense the credit exposition analysis must took into consideration all financial fluxes, both inbound and outbound. The current strain on the Financial Sector in Portugal, and other peripheral European economies, combined with the high leverage situation of most companies, generates an environment prone to credit default risk. Due to these circumstances managing credit risk exposure is becoming increasingly a critical function for every company Financial Department. The approach designed in the current study combined two traditional risk monitoring tools: credit risk scoring and credit limitation policies. The objective was to design a new credit monitoring framework that is more flexible, uses both external and internal relationship history to assess risk and takes into consideration commercial objectives inside the agents’ network. Although not explored at length, the blueprint of a Credit Governance model was created for implementing the new credit monitoring framework inside the telecom firm. The Telecom Company that served as a model for the present work decided to implement the new Credit Monitoring framework after this was presented to its Executive Commission.