Power law and entropy analysis of catastrophic phenomena

Catastrophic events, such as wars and terrorist attacks, tornadoes and hurricanes, earthquakes, tsunamis, floods and landslides, are always accompanied by a large number of casualties. The size distribution of these casualties has separately been shown to follow approximate power law (PL) distributions. In this paper, we analyze the statistical distributions of the number of victims of catastrophic phenomena, in particular, terrorism, and find double PL behavior. This means that the data sets are better approximated by two PLs instead of a single one. We plot the PL parameters, corresponding to several events, and observe an interesting pattern in the charts, where the lines that connect each pair of points defining the double PLs are almost parallel to each other. A complementary data analysis is performed by means of the computation of the entropy. The results reveal relationships hidden in the data that may trigger a future comprehensive explanation of this type of phenomena.

Impactos da inovação nas organizações do setor da saúde: evidência empírica do CIS

Objetivos: O objetivo deste estudo é descrever o quadro de inovação no setor da saúde em Portugal, identificar os fatores críticos de sucesso da inovação, investigando os impactos da inovação nas organizações do setor da saúde. Metodologia: Na concretização da presente dissertação, recorremos a uma abordagem quantitativa, combinando a análise documental com a estatística, ao nível da análise do tratamento dos dados recolhidos através do Inquérito Comunitário à Inovação, efetuando assim um estudo de caso exploratório, descritivo e transversal. Principais resultados: As organizações analisadas operam sobretudo em mercados locais e regionais, de onde provém, maioritariamente, o seu volume de negócios, 80% do qual é composto por produtos pré-existentes. A maioria introduziu inovações de produto, processo, organizacionais ou de marketing, revelando potencial inovador. A maioria dos produtos novos ou significativamente melhorados foram desenvolvidos internamente, privilegiando fornecedores, consultores, instituições privadas de I&D e instituições do ensino superior como parceiros de cooperação, localizados sobretudo em Portugal e outros países europeus. As razões que motivam estas organizações a inovar são a melhoria da qualidade dos produtos e da capacidade de resposta a clientes e fornecedores, a diversificação da gama de produtos e o reforço da capacidade de desenvolvimento de novos produtos. Conclusões: O setor revela dinamismo na introdução de produtos novos para o mercado e para a empresa, apostando sobretudo num processo de inovação fechada. A cooperação externa é muito orientada à I&D e há um reduzido envolvimento dos agentes de mercado nas atividades de I&D através de parcerias. Contudo, estes são considerados importantes como fonte de informação e as organizações procuram responder às suas necessidades. Diferentes tipos de organizações adotam diferentes estratégias de inovação, conforme o seu mercado e a sua situação atual, o que traduz a materialização de políticas de inovação contextual, em linha com os desenvolvimentos teóricos da atualidade.

Meta-analysis of gender and science research - Country report - Portugal

In Portugal, especially starting in the 1970s, women’s studies had implications on the emergency of the concept of gender and the feminist criticism to the prevailing models about differences between sexes. Until then, women had been absent from scientific research both as subject and as object. Feminism brought more reflexivity to the scientific thinking. After the 25th of April 1974, because of the consequent political openness, several innovating themes of research emerged, together with new concepts and fields of study. However, as far as gender and science relationship is concerned, such studies especially concentrate on higher education institutions. The feminist thinking seems to have two main objectives: to give women visibility, on the one hand, and to denunciate men’s domain in the several fields of knowledge. In 1977, the “Feminine Commission” is created and since then it has been publishing studies on women’s condition and contributing to the enhancement of the reflection of female condition at all levels. In the 1980s, the growing feminisation of tertiary education (both of students and academics), favoured the development of women’s studies, especially on their condition within universities with a special focus on the glass ceiling, despite the lack of statistical data by gender, thus making difficult the analysis of women integration in several sectors, namely in educational and scientific research activities. Other agglutinating themes are family, social and legal condition, work, education, and feminine intervention on political and social movements. In the 1990s, Women Studies are institutionalised in the academic context with the creation of the first Master in Women Studies in the Universidade Aberta (Open University), in Lisbon. In 1999, the first Portuguese journal of women studies is created – “Faces de Eva”. Seminars, conferences, thesis, journals, and projects on women’s studies are more and more common. However, results and publications are not so divulgated as they should be, because of lack of comprehensive and coordinated databases. 2. Analysis by topics 2.1. Horizontal and vertical segregation Research questions It is one of the main areas of research in Portugal. Essentially two issues have been considered: - The analysis of vertical gender segregation in educational and professional fields, having reflexes on women professional career progression with special attention to men’s power in control positions and the glass ceiling. - The analysis of horizontal segregation, special in higher education (teaching and research) where women have less visibility than men, and the under-representation of women in technology and technological careers. Research in this area mainly focuses on description, showing the under-representation of women in certain scientific areas and senior positions. Nevertheless, the studies that analyze horizontal segregation in the field of education adopt a more analytical approach which focuses on the analysis of the mechanisms of reproduction of gender stereotypes, especially socialisation, influencing educational and career choices. 1

Artificial Intelligence in geospatial analysis: applications of self-organizing maps in the context of geographic information science.

A thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Information Systems.

A solidão na gravidez : determinantes da solidão e seu impacto na ligação materno-fetal

RESUMO - O sentimento de solidão tem vindo a tornar-se cada vez mais frequente entre os indivíduos, fruto do desenvolvimento da sociedade moderna. Especificamente, ocorrendo durante a gravidez, situação que produz na mulher importantes alterações não só físicas, como também psicológicas, familiares e sociais, deve passar a ser alvo de uma atenção especial. De um ponto de vista da Saúde Mental, o desenvolvimento saudável da gravidez exige uma rede de suporte social e uma relação conjugal satisfatórias. Tais elementos devem ser considerados como factores protectores do aparecimento de sentimentos de solidão. Pelo contrário, um baixo sentido de coerência e o aparecimento de depressão durante a gravidez são factores de risco que, inevitavelmente, irão interferir na qualidade da ligação materno-fetal, com repercussões no desenvolvimento psico-social do futuro ser humano. Este protocolo de projecto propõe um estudo transversal, exploratório e de natureza quantitativa. Engloba dois sub-estudos, focando os determinantes da solidão e o impacto desta na ligação materno-fetal, e pretende identificar associações pertinentes entre as várias dimensões envolvidas. A amostra em estudo será constituída por 202 grávidas que frequentam o Centro de Saúde de Torres Vedras. As variáveis correspondentes serão operacionalizadas através de questionários estandardizados e validados para a população portuguesa, sendo eles a Escala de Solidão da UCLA, a Escala de Satisfação com o Suporte Social, a Escala de Avaliação de Áreas da Vida Conjugal, a Escala de Ligação Materno-Fetal, a Escala de Depressão Pós-Parto de Edimburgo e o Questionário de Orientação para Viver. Espera-se identificar e caracterizar as possíveis associações entre a solidão e a satisfação com o suporte social, a satisfação conjugal, a depressão durante a gravidez e o sentido de coerência, que a explicarão, e a ligação materno-fetal, que será influenciada por ela. Os questionários serão respondidos pelas grávidas seleccionadas de acordo com critérios de inclusão e exclusão. Além das descrições estatísticas iniciais, as análises de associação serão realizadas em função das distribuições encontradas, e tendo em conta dimensões do contexto sociodemográfico. Os resultados da investigação serão divulgados num relatório final. ----------------------- ABSTRACT - The feeling of loneliness is increasing as a result of developments in modern society. Specifically occurring during pregnancy, when important changes - physical, psychological and related to the family structure and interaction with society - take place, special attention should be devoted. To maintain good mental health during pregnancy it is important to have good social support and harmonious conjugal relations, both considered as factors preventing the emergence of feelings of loneliness. By contrast low sense of coherence and depression during the pregnancy are risk factors which, inevitably, will affect the quality of the maternal-fetal attachment and have repercussions on the psycho-social development of the future individual. This protocol of draft proposes a transversal exploratory study of a quantitative nature on two sub-studies, exploring the determinants of loneliness and its impact on the maternal-fetal attachment, which intends to identify some correlations between parameters. The study sample is made up of 202 pregnant women who are patients at the Health Centre of the city of Torres Vedras. They will be selected according to criteria of inclusion and exclusion. All variables will be measured through standardized and validated surveys illustrating the Portuguese population, like the Scale of Loneliness of the UCLA, Scale of Satisfaction with the Social Support, Scale of Evaluation of Areas of the Conjugal Life, Maternal-Fetal Attachment Scale, Edinburgh Postnatal Depression Scale, and Orientation To Life Questionnaire. We expect to identify correlations between loneliness and satisfaction with social support and conjugal relations, depression during pregnancy and sense of coherence, which will explain it, and the maternal-fetal attachment, which will influence it. Beyond the initial statistical descriptions, the data analysis will be executed according to the distributions found and will be carried taking into account the socio-demographic context. The results of the survey will be published in a final report.

Entropy Analysis of Industrial Accident Data Series

Complex industrial plants exhibit multiple interactions among smaller parts and with human operators. Failure in one part can propagate across subsystem boundaries causing a serious disaster. This paper analyzes the industrial accident data series in the perspective of dynamical systems. First, we process real world data and show that the statistics of the number of fatalities reveal features that are well described by power law (PL) distributions. For early years, the data reveal double PL behavior, while, for more recent time periods, a single PL fits better into the experimental data. Second, we analyze the entropy of the data series statistics over time. Third, we use the Kullback–Leibler divergence to compare the empirical data and multidimensional scaling (MDS) techniques for data analysis and visualization. Entropy-based analysis is adopted to assess complexity, having the advantage of yielding a single parameter to express relationships between the data. The classical and the generalized (fractional) entropy and Kullback–Leibler divergence are used. The generalized measures allow a clear identification of patterns embedded in the data.

Stratigraphic interpretation of Well-Log data of the Athabasca Oil Sands of Alberta Canada through Pattern recognition and Artificial Intelligence

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

Spatial analysis of crime evolution in Portugal between 1995 and 2013

The main objective of this survey was to perform descriptive analysis of crime evolution in Portugal between 1995 and 2013. The main focus of this survey was to analyse spatial crime evolution patterns in Portuguese NUTS III regions. Most important crime types have been included into analysis. The main idea was to uncover relation between local patterns and global crime evolution; to define regions which have contributed to global crime evolution of some specific crime types and to define how they have contributed. There were many statistical reports and scientific papers which have analysed some particular crime types, but one global spatial-temporal analysis has not been found. Principal Component Analysis and multidimensional descriptive data analysis technique STATIS have been the base of the analysis. The results of this survey has shown that strong spatial and temporal crime patterns exist. It was possible to describe global crime evolution patterns and to define crime evolution patterns in NUTS III regions. It was possible to define three to four groups of crimes where each group shows similar spatial crime dynamics.

SDAR: a package for plotting and analyzing stratigraphy data in R

Stratigraphic Columns (SC) are the most useful and common ways to represent the eld descriptions (e.g., grain size, thickness of rock packages, and fossil and lithological components) of rock sequences and well logs. In these representations the width of SC vary according to the grain size (i.e., the wider the strata, the coarser the rocks (Miall 1990; Tucker 2011)), and the thickness of each layer is represented at the vertical axis of the diagram. Typically these representations are drawn 'manually' using vector graphic editors (e.g., Adobe Illustrator®, CorelDRAW®, Inskape). Nowadays there are various software which automatically plot SCs, but there are not versatile open-source tools and it is very di cult to both store and analyse stratigraphic information. This document presents Stratigraphic Data Analysis in R (SDAR), an analytical package1 designed for both plotting and facilitate the analysis of Stratigraphic Data in R (R Core Team 2014). SDAR, uses simple stratigraphic data and takes advantage of the exible plotting tools available in R to produce detailed SCs. The main bene ts of SDAR are: (i) used to generate accurate and complete SC plot including multiple features (e.g., sedimentary structures, samples, fossil content, color, structural data, contacts between beds), (ii) developed in a free software environment for statistical computing and graphics, (iii) run on a wide variety of platforms (i.e., UNIX, Windows, and MacOS), (iv) both plotting and analysing functions can be executed directly on R's command-line interface (CLI), consequently this feature enables users to integrate SDAR's functions with several others add-on packages available for R from The Comprehensive R Archive Network (CRAN).

Extreme value Birnbaum-Saunders regression models applied to environmental data

Extreme value models are widely used in different areas. The Birnbaum–Saunders distribution is receiving considerable attention due to its physical arguments and its good properties. We propose a methodology based on extreme value Birnbaum–Saunders regression models, which includes model formulation, estimation, inference and checking. We further conduct a simulation study for evaluating its performance. A statistical analysis with real-world extreme value environmental data using the methodology is provided as illustration.

Cosméticos no Youtube: marcas vs youtubers: em estudo exploratório

Dissertação de mestrado em Design de Comunicação de Moda

O efeito da deposição salina nas características das escorrências rodoviárias em zonas costeiras

Tese de Doutoramento em Engenharia Civil.

Análise exploratória dos turistas estrangeiros : o caso dos pastéis de Belém

Mestrado em Economia Internacional e Estudos Europeus

REPRODUCCIÓN CAPRINA. EFECTO DE LA ADICIÓN DE LÍPIDOS DIETARIOS SOBRE LA MODULACIÓN DEL ESTADO METABÓLICO Y LA CALIDAD DEL SEMEN CRIOPRESERVADO.

Adding Omega fatty acids (ω) 3 to the diet of stud bucks, the quality of sperm and their resistance to cryopreservation could increase. The aim of this study is to determine the effect of supplementation with ω3 on the metabolic state, sperm quality and resistance to freezing, in bucks kept in confinement under natural photoperiod. The experiment will be conducted in the facilities of the Faculty of Agronomy and Veterinary, UNRC (National University of Río Cuarto). Ten Anglo Nubian adult bucks, trained for semen collection with artificial vagina will be used. Males will be randomly allocated into 2 groups (5 animals each): control (C) and treatment (T). During the breeding season, group C will be fed with a ration of alfalfa and ground corn, according to the requirements for each category and sex (NRC, 2007). Group T will receive the same diet with the addition of linseeds. Both will have free access to water. Every week, semen of each buck, will be collected, evaluated and frozen. Sperm quality “in vitro” after thawing will be studied with a digital image analyzer. To assess oxidative stress in fresh and cryopreserved semen, levels of thiobarbituric acid reactive substances (TBARS) and quantification of the activity of superoxide dismutase (SOD) and catalase (CAT) will be determined. To establish the metabolic state, blood samples will be collected every two weeks. The statistical analysis will include an exploratory data analysis, multivariate analysis of multiple correspondences on a completely randomized design, analysis of variance and Fisher post-test. The level of significance will be set at P <0.05 and all results will be expressed as means ± SEM.

DESARROLLO DE APLICACIONES ESTADÍSTICAS PARA LA AGRICULTURA DE PRECISIÓN. STATISTICAL APPLICATIONS FOR PRECISION AGRICULTURE

A partir de las últimas décadas se ha impulsado el desarrollo y la utilización de los Sistemas de Información Geográficos (SIG) y los Sistemas de Posicionamiento Satelital (GPS) orientados a mejorar la eficiencia productiva de distintos sistemas de cultivos extensivos en términos agronómicos, económicos y ambientales. Estas nuevas tecnologías permiten medir variabilidad espacial de propiedades del sitio como conductividad eléctrica aparente y otros atributos del terreno así como el efecto de las mismas sobre la distribución espacial de los rendimientos. Luego, es posible aplicar el manejo sitio-específico en los lotes para mejorar la eficiencia en el uso de los insumos agroquímicos, la protección del medio ambiente y la sustentabilidad de la vida rural. En la actualidad, existe una oferta amplia de recursos tecnológicos propios de la agricultura de precisión para capturar variación espacial a través de los sitios dentro del terreno. El óptimo uso del gran volumen de datos derivado de maquinarias de agricultura de precisión depende fuertemente de las capacidades para explorar la información relativa a las complejas interacciones que subyacen los resultados productivos. La covariación espacial de las propiedades del sitio y el rendimiento de los cultivos ha sido estudiada a través de modelos geoestadísticos clásicos que se basan en la teoría de variables regionalizadas. Nuevos desarrollos de modelos estadísticos contemporáneos, entre los que se destacan los modelos lineales mixtos, constituyen herramientas prometedoras para el tratamiento de datos correlacionados espacialmente. Más aún, debido a la naturaleza multivariada de las múltiples variables registradas en cada sitio, las técnicas de análisis multivariado podrían aportar valiosa información para la visualización y explotación de datos georreferenciados. La comprensión de las bases agronómicas de las complejas interacciones que se producen a la escala de lotes en producción, es hoy posible con el uso de éstas nuevas tecnologías. Los objetivos del presente proyecto son: (l) desarrollar estrategias metodológicas basadas en la complementación de técnicas de análisis multivariados y geoestadísticas, para la clasificación de sitios intralotes y el estudio de interdependencias entre variables de sitio y rendimiento; (ll) proponer modelos mixtos alternativos, basados en funciones de correlación espacial de los términos de error que permitan explorar patrones de correlación espacial de los rendimientos intralotes y las propiedades del suelo en los sitios delimitados. From the last decades the use and development of Geographical Information Systems (GIS) and Satellite Positioning Systems (GPS) is highly promoted in cropping systems. Such technologies allow measuring spatial variability of site properties including electrical conductivity and others soil features as well as their impact on the spatial variability of yields. Therefore, site-specific management could be applied to improve the efficiency in the use of agrochemicals, the environmental protection, and the sustainability of the rural life. Currently, there is a wide offer of technological resources to capture spatial variation across sites within field. However, the optimum use of data coming from the precision agriculture machineries strongly depends on the capabilities to explore the information about the complex interactions underlying the productive outputs. The covariation between spatial soil properties and yields from georeferenced data has been treated in a graphical manner or with standard geostatistical approaches. New statistical modeling capabilities from the Mixed Linear Model framework are promising to deal with correlated data such those produced by the precision agriculture. Moreover, rescuing the multivariate nature of the multiple data collected at each site, several multivariate statistical approaches could be crucial tools for data analysis with georeferenced data. Understanding the basis of complex interactions at the scale of production field is now within reach the use of these new techniques. Our main objectives are: (1) to develop new statistical strategies, based on the complementarities of geostatistics and multivariate methods, useful to classify sites within field grown with grain crops and analyze the interrelationships of several soil and yield variables, (2) to propose mixed linear models to predict yield according spatial soil variability and to build contour maps to promote a more sustainable agriculture.