Modelling the Contribution of 40K, 232Th and 226Ra to Radiation Dose and Risk from Airborne Discharges of Coal-Fired Power Plants

Coal contains trace elements and naturally occurring radionuclides such as 40K, 232Th, 238U. When coal is burned, minerals, including most of the radionuclides, do not burn and concentrate in the ash several times in comparison with their content in coal. Usually, a small fraction of the fly ash produced (2-5%) is released into the atmosphere. The activities released depend on many factors (concentration in coal, ash content and inorganic matter of the coal, combustion temperature, ratio between bottom and fly ash, filtering system). Therefore, marked differences should be expected between the by-products produced and the amount of activity discharged (per unit of energy produced) from different coal-fired power plants. In fact, the effects of these releases on the environment due to ground deposition have been received some attention but the results from these studies are not unanimous and cannot be understood as a generic conclusion for all coal-fired power plants. In this study, the dispersion modelling of natural radionuclides was carried out to assess the impact of continuous atmospheric releases from a selected coal plant. The natural radioactivity of the coal and the fly ash were measured and the dispersion was modelled by a Gaussian plume estimating the activity concentration at different heights up to a distance of 20 km in several wind directions. External and internal doses (inhalation and ingestion) and the resulting risk were calculated for the population living within 20 km from the coal plant. In average, the effective dose is lower than the ICRP’s limit and the risk is lower than the U.S. EPA’s limit. Therefore, in this situation, the considered exposure does not pose any risk. However, when considering the dispersion in the prevailing wind direction, these values are significant due to an increase of 232Th and 226Ra concentrations in 75% and 44%, respectively.

Dispersion Modelling of Natural Radionuclides 238U, 232Th and 40K Released from Coal-fired Power Plants Operations

The aim of this work was to simulate the radionuclides dispersion in the surrounding area of a coal-fired power plant, operational during the last 25 years. The dispersion of natural radionuclides (236Ra, 232Th and 40K) was simulated by a Gaussian plume dispersion model with three different stability classes estimating the radionuclides concentration at ground level. Measurements of the environmen-tal activity concentrations were carried out by γ-spectrometry and compared with results from the air dispersion and deposition model which showed that the stabil-ity class D causes the dispersion to longer distances up to 20 km from the stacks.

Analysis of Forest Fires by means of Pseudo Phase Plane and Multidimensional Scaling Methods

Forest fires dynamics is often characterized by the absence of a characteristic length-scale, long range correlations in space and time, and long memory, which are features also associated with fractional order systems. In this paper a public domain forest fires catalogue, containing information of events for Portugal, covering the period from 1980 up to 2012, is tackled. The events are modelled as time series of Dirac impulses with amplitude proportional to the burnt area. The time series are viewed as the system output and are interpreted as a manifestation of the system dynamics. In the first phase we use the pseudo phase plane (PPP) technique to describe forest fires dynamics. In the second phase we use multidimensional scaling (MDS) visualization tools. The PPP allows the representation of forest fires dynamics in two-dimensional space, by taking time series representative of the phenomena. The MDS approach generates maps where objects that are perceived to be similar to each other are placed on the map forming clusters. The results are analysed in order to extract relationships among the data and to better understand forest fires behaviour.

Dynamic Analysis and Pattern Visualization of Forest Fires

This paper analyses forest fires in the perspective of dynamical systems. Forest fires exhibit complex correlations in size, space and time, revealing features often present in complex systems, such as the absence of a characteristic length-scale, or the emergence of long range correlations and persistent memory. This study addresses a public domain forest fires catalogue, containing information of events for Portugal, during the period from 1980 up to 2012. The data is analysed in an annual basis, modelling the occurrences as sequences of Dirac impulses with amplitude proportional to the burnt area. First, we consider mutual information to correlate annual patterns. We use visualization trees, generated by hierarchical clustering algorithms, in order to compare and to extract relationships among the data. Second, we adopt the Multidimensional Scaling (MDS) visualization tool. MDS generates maps where each object corresponds to a point. Objects that are perceived to be similar to each other are placed on the map forming clusters. The results are analysed in order to extract relationships among the data and to identify forest fire patterns.

Prognostic modelling of breast cancer patients: a benchmark of predictive models with external validation

Dissertação apresentada para obtenção do Grau de Doutor em Engenharia Electrotécnica e de Computadores – Sistemas Digitais e Percepcionais pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia

Fractional order modelling of dynamic backlash

This paper studies the dynamical properties of systems with backlash and impact phenomena. This type of non-linearity can be tackled in the perspective of the fractional calculus theory. Fractional and integer order models are compared and their influence upon the emerging dynamics is analysed. It is demonstrated that fractional models can memorize dynamical effects due to multiple micro-collisions.

Railway vehicle modelling for the vehicle-track interaction compatibility analysis

Railway vehicle homologation, with respect to running dynamics, is addressed via dedicated norms. The results required, such as, accelerations and/or wheel-rail contact forces, obtained from experimental tests or simulations, must be available. Multibody dynamics allows the modelling of railway vehicles and their representation in real operations conditions, being the realism of the multibody models greatly influenced by the modelling assumptions. In this paper, two alternative multibody models of the Light Rail Vehicle 2000 (LRV) are constructed and simulated in a realistic railway track scenarios. The vehicle-track interaction compatibility analysis consists of two stages: the use of the simplified method described in the norm "UIC 518-Testing and Approval of Railway Vehicles from the Point of View of their Dynamic Behaviour-Safety-Track Fatigue-Running Behaviour" for decision making; and, visualization inspection of the vehicle motion with respect to the track via dedicated tools for understanding the mechanisms involved.

Modelling a cable structure for a new wind energy production device

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Mecânica Especialização em Concepção e Produção

Multidimensional Frailty and Pain in Community Dwelling Elderly

Artigo científico disponível actualmente em Early View (Online Version of Record published before inclusion in an issue)

A framework to operate transformations between distinct models differing in modelling concepts

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores

Molecular modelling of ABC transporters: from ATP hydrolysis to substrate transport

Dissertação para a obtenção de grau de doutor em Bioquímica pelo Instituto de Tecnologia Química e Biológica da Universidade Nova de Lisboa

Modelling of the kinetics of municipal solid waste composting in full-scale mechanical-biological treatment plants

A thesis submitted in fulfilment of the requirements for the Degree of Doctor of Philosophy in Sanitary Engineering in the Faculty of Sciences and Technology of the New University of Lisbon

Paralisia cerebral na Região de Lisboa e Vale do Tejo : factores de risco : caracterização multidimensional : inclusão escolar

RESUMO - A Paralisia Cerebral (PC) deve ser olhada como uma patologia do neurodesenvolvimento: a infância é um período de actividade exploratória por essência, a restrição motora condiciona as várias áreas do desenvolvimento. Contextos, apoios, oportunidades e experiências de vida serão determinantes no desenvolvimento de todo o seu potencial. Objectivos/finalidade: Identificar, descrever, comparar e analisar factores de risco associados à PC, sua caracterização multidimensional e integração escolar aos 5 e 10 anos. Procurou‐se contribuir para a sua prevenção primária e secundária, e obter dados para planeamento e implementação dos programas de apoio. Métodos: Adoptou‐se a abordagem do Programa Nacional de Vigilância da Paralisia Cerebral (PNVPC) e da Surveillance of Cerebral Palsy in Europe (SCPE). Analisaram‐se factores de risco, competências funcionais, défices associados, severidade e integração escolar de duas populações de Lisboa e Vale do Tejo, (nascimento 1996/1997‐2001/2002 e prevalência aos 5 e 10 anos). Descreveram‐se os dados, efectuaram‐se correlações, aplicaram‐se testes de independência e compararam‐se com dados dos nadovivos, dados nacionais e europeus. Analisaram‐se os factores que influenciaram a integração escolar através de métodos de regressão logística. Resultados/Conclusões/Recomendações: 1,65‰ e 1,57‰ dos nadovivos desenvolveram PC; a prevalência aos 5 anos foi de 1,7‰ e de 1,48‰; 5,9% e 7,9% faleceram antes dos 5 anos. Em 2001/2002 verificou‐se aumento de: PC espástica bilateral‐2/3membros, prematuridade, causa pos‐neonatal, níveis funcionais ligeiros e graves; percentil estaturo‐ponderal <3 (5‐anos). Diminuição de: disquinésia, anóxia e alguns défices associados. Destacaram‐se as associação: prematuridade e PC espástica bilateral‐ 2/3membros; nascer de termo e anóxia, disquinésia, primíparas, défices associados e severidade; infecção pré‐natal e QI<50, epilepsia e severidade; causa pos‐neonatal e PC espástica bilateral‐4membros e múltiplos défices. Aos 5 anos, as variáveis explicativas para a não inclusão escolar foram: QI<50 e epilepsia; uma elevada percentagem de crianças com PC moderada/grave encontrava‐se integrada; 75% das que se encontravam desintegradas mantiveram‐se nesta situação aos 10. Nesta idade, as variáveis explicativas para a não inclusão escolar foram: QI<50 e motricidade fina; 35,1% encontrava‐se fora do ensino regular; 4,5%, embora em idade de escolaridade obrigatória, não frequentavam qualquer estabelecimento escolar. Informação sistematizada, abrangente, objectiva, simples e acessível, sobre novos casos de PC, factores de risco, prevalência em idades‐chave e caracterização multidimensional constitui uma ferramenta clínica e epidemiológica, que deve sustentar as políticas de saúde, educacionais e sociais, contribuindo para a permanência destas crianças no ensino regular, trazendo às crianças e famílias o suporte que as encorajem e sustentem nestes processos. ABSTRACT ------- Cerebral Palsy (CP) must be recognized as a neurodevelopmental disorder: childhood is, on its nature, a period for exploring the environment and therefore motor deficit interferes with all developmental areas. The context, support, opportunities and life experiences are determinants for the development of his full potential. Objective/Aim: To identify, describe, compare and analyze CP risk factors the multidimensional characterization and school integration levels at the age of 5 and 10 years. We aim to contribute to CP primary and secondary prevention and provide information for service planning and implementation of support programs. Methods: The approach of National Cerebral Palsy Surveillance Programme (NCPSP) and Surveillance of Cerebral Palsy in Europe (SCPE) were used. For two groups of children from Lisboa e Vale do Tejo region, birth data 1996/1997‐2001/2002 and prevalence at 5 and 10 years, were analyzed: CP risk factors, functional ability, associated impairments, severity and school integration settings. Data collected was described, analyzed using correlations, applied tests of independence and compared with new born data, national data and european data. To analyze the factors related to school inclusive settings, logistic regression was appealed. Results/Conclusions/Recommendations: 1,65% and 1,57‰ of the new‐born alive developed CP. The prevalence at 5 years was 1,7‰ and 1,48‰ 5,9% and 7,9% died before their 5th birthday. Bilateral spastic CP 2/3limb, preterm birth, cases of post‐neonatal origin, mild and sever functional impairment; weight and height percentile <3 at 5 years old Increased in 2001. Decreased dyskinetic CP, anoxia and some additional imparments. Were identified among other the association between prematurity and spastic bilateral CP‐2/3 members; born at term and anoxia, dyskinetic CP, first child, associated impairments and severity; prenatal infection and IQ<50, epilepsy and severity; post‐neonatal cause and spastic bilateral CP‐4 members and associated impairments. At 5‐years‐old the more explanatory variables for not be in a school inclusive settings were IQ<50 and epilepsy, a high percentage of children with moderate/severe CP was attending regular school, but most children who were out of inclusive settings at 5 years continue on this situations at 10‐years‐old. At this age the more explanatory variables for not be in a school inclusive settings were: IQ<50 and upper limb function; 35,1% were out of regular school; 4,5%, even in compulsory school age, are out of school. Standardized comprehensive, objective, simple and accessible information about CP new cases, risk factors, prevalence in the key‐age and children multidimensional characterization constitutes a clinical and epidemiological tool that should sustain health, educational and social policy. This would support the continuity of these children in regular schools, encouraging g them and their families in these processes.

Dynamic Analysis and Pattern Visualization of Forest Fires

This paper analyses forest fires in the perspective of dynamical systems. Forest fires exhibit complex correlations in size, space and time, revealing features often present in complex systems, such as the absence of a characteristic length-scale, or the emergence of long range correlations and persistent memory. This study addresses a public domain forest fires catalogue, containing information of events for Portugal, during the period from 1980 up to 2012. The data is analysed in an annual basis, modelling the occurrences as sequences of Dirac impulses with amplitude proportional to the burnt area. First, we consider mutual information to correlate annual patterns. We use visualization trees, generated by hierarchical clustering algorithms, in order to compare and to extract relationships among the data. Second, we adopt the Multidimensional Scaling (MDS) visualization tool. MDS generates maps where each object corresponds to a point. Objects that are perceived to be similar to each other are placed on the map forming clusters. The results are analysed in order to extract relationships among the data and to identify forest fire patterns.

Analysis of UV spectral bands using multidimensional scaling

This study describes the change of the ultraviolet spectral bands starting from 0.1 to 5.0 nm slit width in the spectral range of 200–400 nm. The analysis of the spectral bands is carried out by using the multidimensional scaling (MDS) approach to reach the latent spectral background. This approach indicates that 0.1 nm slit width gives higher-order noise together with better spectral details. Thus, 5.0 nm slit width possesses the higher peak amplitude and lower-order noise together with poor spectral details. In the above-mentioned conditions, the main problem is to find the relationship between the spectral band properties and the slit width. For this aim, the MDS tool is to used recognize the hidden information of the ultraviolet spectra of sildenafil citrate by using a Shimadzu UV–VIS 2550, which is in the world the best double monochromator instrument. In this study, the proposed mathematical approach gives the rich findings for the efficient use of the spectrophotometer in the qualitative and quantitative studies.