Anthropocentric-based robotic and autonomous systems: assessment for new organisational options

Text based on the paper presented at the Conference "Autonomous systems: inter-relations of technical and societal issues" held at Monte de Caparica (Portugal), Universidade Nova de Lisboa, November, 5th and 6th 2009 and organized by IET-Research Centre on Enterprise and Work Innovation

Supply chain integration model: practices and customer values

Dissertation to obtain PhD in Industrial Engineering

Rastreio aos factores de risco modificáveis da doença isquémica da doença isquémica coronária no concelho de Faro

RESUMO: Introdução: As doenças cardiovasculares (DCV) são a principal causa de morbilidade, e mortalidade prematura em Portugal e na Europa. A sua causa é multifactorial e a maior parte dos casos resultam de factores de risco modificáveis. O cálculo do RCVG, pretende ser uma estimativa da probabilidade de desenvolver DCV. Este estudo pretende identificar e caracterizar indivíduos em risco de desenvolver doença isquémica coronária e respectivos factores de risco modificáveis, no Concelho de Faro e determinar a sua prevalência e calcular SCORE global de risco cardiovascular Material e métodos: Estudo, observacional transversal, que incluiu um total de 601 individuos, com idades entre os 40-64 anos de idade, residentes no concelho de Faro, inscritos no Centro de Saúde de Faro e que consistiu da avaliação da prevalência dos factores de risco modificáveis da doença isquémica coronária pela utilização de instrumentos específicos. Resultados e discussão: Foram incluídos 601 individuos de ambos os géneros. Trata-se de uma população potencialmente menos literada e num contexto social, cultural, familiar e profissional que, eventualmente, condicionará o estilo de vida e opções em saúde. 55,9% dos indivíduos tem HTA; 42,4 % dos indivíduos tem valor de colesterol total elevado, compatível com dislipidemia (cut off de 200mg/dl); 50,9 % (cut off 190 mg/dl); 8,7% tem valores de glicemia compatíveis com diabetes; 19,8 são fumadores; 72,7% apresenta excesso de peso/obesidade; 37,6% dos indivíduos tem baixo nível de actividade física; 20,1% dos indivíduos apresenta evidência de stress, ansiedade ou depressão, pela avaliação utilizando a EADS. Parece existir evidência de maior proporção de factores de risco entre os homens e uma proporção significativa de indivíduos com importantes factores de risco modificáveis em simultâneo. Mais de metade dos indivíduos tem 3 ou mais factores de risco em simultâneo, com o excesso de peso/obesidade, hipertensão e dislipidemia a serem os com mais comummente associados. 9,7% dos indivíduos tem risco entre 5-9% e apenas 29,3% tem SCORE inferior a 1%. Conclusões: A elevada prevalência dos factores de risco modificáveis e a elevada proporção de indivíduos identificados com esses factores, e com risco moderado e alto de DCV, parece justificar uma atenção redobrada a esse nível e um planeamento dos cuidados de saúde ajustados e específicos para esta realidade.----------------------- ABSTRACT: Introduction: Cardiovascular diseases are the leading cause of morbidity and premature mortality in Portugal and in Europe. The cause is multifactorial and in most cases results from modifiable risk factors. The global cardiovascular risk calculation is intended as an estimate of the likelihood of developing cardiovascular disease. This study aims to identify and characterize individuals at risk of developing ischemic heart disease and their modifiable risk factors in Faro, and determine its prevalence as well as to calculate global cardiovascular risk SCORE. Methodology: This was a cross sectional observational study, which included a total of 601 individuals, aged 40-64 years of age living in Faro, and enrolled atthe Health Centre of Faro. The prevalence of modifiable risk factors of disease ischemic heart was assessed once, after letter invitation, by the use of the following instruments (acrescentar os instrumentos). Data was analysed with (incluir testes estatisticos utilizados) Results and Discussion: We included 601 subjects of both genders. This is a potentially less literate population with a social, cultural and family contextwhich, may eventually constrain lifestyle and health choices. Almost sixty percent (55.9%) of the individuals have hypertension, 42,4% have high total cholesterol value, compatible with dyslipidemia, 8,7 % had blood glucose values compatible with diabetes, 19,8% are smokers, 72,7% are overweight or obese, 37,6% of individuals have low levels of physical activity, 20,1% of individual show evidence of stress, anxiety or depression, as assessed by using the DASS. There seems to be evidence of a greater proportion of risk factors among men and a significant proportion of individuals with major modifiable risk factores simultaneously. More than half of the studied individuals have three or more risk factors simultaneously, being excess weight / obesity, hypertension and dyslipidemia, the most commonly associated. Almost ten percent (9,7%) of the individuals have a risk between 5-9% and only 29,3% has a SCORE less than 1%. Conclusion: The high prevalence of modifiable risk factors and the high proportion of individuals identified with these factors, and with moderate and high risk of CVD, appear to justify further attention at this level and planning of health care interventions specifically adjusted to this reality.

BIM-lean synergies in the management on MEP works in public facilities of intensive use – a case study

21st Annual Conference of the International Group for Lean Construction – IGLC 21 – Fortaleza, Brazil

An agent based architecture for material handling systems

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

Contingencies of humble leadership

Double degree

A technology diffusion perspective of Enterprise Resource Planning across European Small and Medium Enterprises: from determinants to Use to Value

Tese apresentada como requisito parcial para obtenção do grau de Doutor em Gestão de Informação

Planning and verification of multipath routing protocols

Conventionally the problem of the best path in a network refers to the shortest path problem. However, for the vast majority of networks present nowadays this solution has some limitations which directly affect their proper functioning, as well as an inefficient use of their potentialities. Problems at the level of large networks where graphs of high complexity are commonly present as well as the appearing of new services and their respective requirements, are intrinsically related to the inability of this solution. In order to overcome the needs present in these networks, a new approach to the problem of the best path must be explored. One solution that has aroused more interest in the scientific community considers the use of multiple paths between two network nodes, where they can all now be considered as the best path between those nodes. Therefore, the routing will be discontinued only by minimizing one metric, where only one path between nodes is chosen, and shall be made by the selection of one of many paths, thereby allowing the use of a greater diversity of the present paths (obviously, if the network consents). The establishment of multi-path routing in a given network has several advantages for its operation. Its use may well improve the distribution of network traffic, improve recovery time to failure, or it can still offer a greater control of the network by its administrator. These factors still have greater relevance when networks have large dimensions, as well as when their constitution is of high complexity, such as the Internet, where multiple networks managed by different entities are interconnected. A large part of the growing need to use multipath protocols is associated to the routing made based on policies. Therefore, paths with different characteristics can be considered with equal level of preference, and thus be part of the solution for the best way problem. To perform multi-path routing using protocols based only on the destination address has some limitations but it is possible. Concepts of graph theory of algebraic structures can be used to describe how the routes are calculated and classified, enabling to model the routing problem. This thesis studies and analyzes multi-path routing protocols from the known literature and derives a new algebraic condition which allows the correct operation of these protocols without any network restriction. It also develops a range of software tools that allows the planning and the respective verification/validation of new protocols models according to the study made.

Foresight exercises as a tool for decision-making: the example of two case studies in health

Based on the report for the unit “Foresight Methods Analysis” of the PhD programme on Technology Assessment at the Universidade Nova de Lisboa, under the supervision of Prof. Dr. António B. Moniz

Modeling and optimization of extracellular polysaccharides production by Enterobacter A47

Polysaccharides are gaining increasing attention as potential environmental friendly and sustainable building blocks in many fields of the (bio)chemical industry. The microbial production of polysaccharides is envisioned as a promising path, since higher biomass growth rates are possible and therefore higher productivities may be achieved compared to vegetable or animal polysaccharides sources. This Ph.D. thesis focuses on the modeling and optimization of a particular microbial polysaccharide, namely the production of extracellular polysaccharides (EPS) by the bacterial strain Enterobacter A47. Enterobacter A47 was found to be a metabolically versatile organism in terms of its adaptability to complex media, notably capable of achieving high growth rates in media containing glycerol byproduct from the biodiesel industry. However, the industrial implementation of this production process is still hampered due to a largely unoptimized process. Kinetic rates from the bioreactor operation are heavily dependent on operational parameters such as temperature, pH, stirring and aeration rate. The increase of culture broth viscosity is a common feature of this culture and has a major impact on the overall performance. This fact complicates the mathematical modeling of the process, limiting the possibility to understand, control and optimize productivity. In order to tackle this difficulty, data-driven mathematical methodologies such as Artificial Neural Networks can be employed to incorporate additional process data to complement the known mathematical description of the fermentation kinetics. In this Ph.D. thesis, we have adopted such an hybrid modeling framework that enabled the incorporation of temperature, pH and viscosity effects on the fermentation kinetics in order to improve the dynamical modeling and optimization of the process. A model-based optimization method was implemented that enabled to design bioreactor optimal control strategies in the sense of EPS productivity maximization. It is also critical to understand EPS synthesis at the level of the bacterial metabolism, since the production of EPS is a tightly regulated process. Methods of pathway analysis provide a means to unravel the fundamental pathways and their controls in bioprocesses. In the present Ph.D. thesis, a novel methodology called Principal Elementary Mode Analysis (PEMA) was developed and implemented that enabled to identify which cellular fluxes are activated under different conditions of temperature and pH. It is shown that differences in these two parameters affect the chemical composition of EPS, hence they are critical for the regulation of the product synthesis. In future studies, the knowledge provided by PEMA could foster the development of metabolically meaningful control strategies that target the EPS sugar content and oder product quality parameters.

Practice variations in the production of health

This study investigates three questions related to medical practice variation. First, it tests whether average length of stay across Portuguese National Health Service hospitals varies when controlling for differences in patients’ characteristics. Second, it looks at hospital-level characteristics in order to find out whether these are able to explain differences in average length of stay across hospitals. Finally, it proposes a best practice average length of stay for each of the six episodes of care analyzed. To perform the analysis, administrative data from the Diagnosis-Related groups’ data set for the year of 2012 was used. A replication of a hierarchical two-stage model with hospital fixed effects was carried out. The results show that after taking patients’ characteristics into account, variation in average length of stay across hospitals exists. This variation cannot be explained by hospital-level characteristics.