Combining WLAN fingerprint-based localization with sensor data for indoor navigation using mobile devices

This project proposes an approach for supporting Indoor Navigation Systems using Pedestrian Dead Reckoning-based methods and by analyzing motion sensor data available in most modern smartphones. Processes suggested in this investigation are able to calculate the distance traveled by a user while he or she is walking. WLAN fingerprint- based navigation systems benefit from the processes followed in this research and results achieved to reduce its workload and improve its positioning estimations.

Complex networks and data mining: toward a new perspective for the understanding of complex systems

Complex systems, i.e. systems composed of a large set of elements interacting in a non-linear way, are constantly found all around us. In the last decades, different approaches have been proposed toward their understanding, one of the most interesting being the Complex Network perspective. This legacy of the 18th century mathematical concepts proposed by Leonhard Euler is still current, and more and more relevant in real-world problems. In recent years, it has been demonstrated that network-based representations can yield relevant knowledge about complex systems. In spite of that, several problems have been detected, mainly related to the degree of subjectivity involved in the creation and evaluation of such network structures. In this Thesis, we propose addressing these problems by means of different data mining techniques, thus obtaining a novel hybrid approximation intermingling complex networks and data mining. Results indicate that such techniques can be effectively used to i) enable the creation of novel network representations, ii) reduce the dimensionality of analyzed systems by pre-selecting the most important elements, iii) describe complex networks, and iv) assist in the analysis of different network topologies. The soundness of such approach is validated through different validation cases drawn from actual biomedical problems, e.g. the diagnosis of cancer from tissue analysis, or the study of the dynamics of the brain under different neurological disorders.

Avaliação das necessidades, incapacidade, qualidade de vida e satisfação com os serviços de indivíduos com esquizofrenia em Cabo Verde

RESUMO: OBJECTIVO: Avaliar as necessidades, incapacidade, qualidade de vida, satisfação com os serviços e as características sociodemográficas numa amostra de pacientes com esquizofrenia num Serviço de Psiquiatria, em Cabo Verde. MÉTODOS: Realizou-se estudo transversal com 122 doentes com recurso a instrumentos estruturados para as necessidades (CAN), incapacidade (WHODAS II), qualidade de vida (WHOQOL-BREF) e satisfação com os serviços (VSSS) e uma ficha para recolha de dados sociodemográficos. RESULTADOS: Os doentes eram maioritariamente do sexo masculino (73,8%) com uma idade média de 35,23 anos, uma escolaridade baixa (59,8%), solteiros (81.1%), residindo em meio urbano (72,1%) e desempregados (63,2%). A maioria estava a tomar medicação antipsicótica (97,5%), tinha história de internamento (76.2%), uma média de início da doença aos 23,43 anos e uma duração média de 11,80 anos. As necessidades referidas foram baixas e as facetas mais identificadas foram a informação, os subsídios e benefícios sociais, as actividades diárias, os contactos sociais e sofrimento psicológico. Cerca 20% dos participantes manifestaram uma incapacidade, sobretudo no domínio da da participação na sociedade (47,2%). A média da qualidade de vida foi 65,08 (desvio-padrão: 21,35), com o domínio psicológico a apresentar o valor mais alto (74,21, desvio-padrão: 14,87) e o ambiental o mais baixo (59,27, desvio-padrão: 15,15). A satisfação com os serviços foi avaliada de forma positiva nas dimensões satisfação global e competência dos profissionais. As dimensões informação, envolvimento dos familiares, eficácia e acesso tiveram avaliação insatisfatória. Os tipos de intervenções, com vários serviços pouco disponibilizados, tiveram uma satisfação relativa. DISCUSSÃO: Num contexto de carência, os resultados revelaram-se mais satisfatórios do que esperados, mas com grandes insuficiências no processo de cuidados. CONCLUSÃO: O estudo permitiu conhecer o processo de cuidados aos doentes com esquizofrenia e disponibilizou elementos para programas de cuidados.-----------ABSTRACT: OBJECTIVE: Assess needs, disability, quality of life, satisfaction with the services and the socio-demographic characteristics in a sample of patients with schizophrenia in a Psychiatric Service in Cape Verde. MATHODS: It was carried out a cross-sectional study with 122 patients using the structured instruments for the needs (CAN), disability (WHODAS II), quality of life (WHOQOLBREF),satisfaction with the services (VSSS) and socio-demographic data collection. RESULTS: The patients are mainly of the male sex (73.8%) with average age of 35.23 years old, low education level (59.8%), single (81.1%), living in urban area and unemployed (63.2%). Most of them were taking antipsychotic medication (97.5%), had a history of hospitalization (76.2%), an average of disease onset at 23.43 years old and an average duration of 11.80 years. The needs mentioned were low and the most identified facets were information, subsidies and social benefits, daily routines, social contacts and psychological distress. Around 20% of the participants expressed one disability, especially at the domain of the participation in the society (47.2%). The average quality of life was 65.08 (standard deviation: 21.35), with the domain of the psychological presenting the highest value (74.21, standard deviation: 14.87) and environmental the lowest (59.27, standard deviation: 15.15). The satisfaction with services was positively assessed in the dimensions of overall satisfaction and competency of the professionals. The dimensions information, family involvement, effectiveness and access had positive evaluation. The types of intervention with services poorly available had a relative satisfaction. DISCUSSION: In a context of shortage, the results were considered more satisfactory than expected, but with many inadequacies in the process of care. CONCLUSION: This study allowed to know the process of care to the patients with schizophrenia and provided elements for the programs of care.

Human papillomavirus genotypes in asymptomatic young women from public schools in Rio de Janeiro, Brazil

INTRODUCTION: The aim of this work was to survey HPV information from a random population of young women from Rio de Janeiro, Brazil. METHODS: This cross-sectional study included cervical samples from 241 female students. To determine human papillomavirus status, polymerase chain reaction amplification was performed. HPV typing was determined by restriction fragment length polymorphism analysis. Demographic data, life style, sexual and gynecological history were obtained through use of a structured questionnaire. RESULTS: The average age of the women was 19.6 years-old (SD=3.4 years). HPV prevalence was 27.4%. Nineteen different HPV genotypes were detected, including 13 high risk types. HPV 16 was the most prevalent type (6.2%), followed by 31 (4.1 %) and 66 (3.7%). Most of the oncogenic types belonged to the A9 species (28/48). The frequency of women infected by at least one oncogenic type was significantly higher than those only infected by low risk types (18.7% versus 7.5%). Cervical changes were detected in 12.5% of the sample and were significantly linked to infection with HPV types of the A9 species. Demographic variables, sexual initiation, or number of sexual partners were not associated with HPV prevalence, variety of HPV genotypes or oncogenic types. CONCLUSIONS: The relative frequency of HPV genotypes other than vaccine types in young females should be taken into account when evaluating vaccination strategies. Due to the high prevalence of HPV infection among the population studied, implementation of sex education in schools, promotion of condom use and an organized screening program to prevent cervical cancer must be encouraged for this age group.

A DSL for querying building data streams of energy, eeather and occupation data

The superfluous consumption of energy is faced by the modern society as a Socio-Economical and Environmental problem of the present days. This situation is worsening given that it is becoming clear that the tendency is to increase energy price every year. It is also noticeable that people, not necessarily proficient in technology, are not able to know where savings can be achieved, due to the absence of accessible awareness mechanisms. One of the home user concerns is to balance the need of reducing energy consumption, while producing the same activity with all the comfort and work efficiency. The common techniques to reduce the consumption are to use a less wasteful equipment, altering the equipment program to a more economical one or disconnecting appliances that are not necessary at the moment. However, there is no direct feedback from this performed actions, which leads to the situation where the user is not aware of the influence that these techniques have in the electrical bill. With the intension to give some control over the home consumption, Energy Management Systems (EMS) were developed. These systems allow the access to the consumption information and help understanding the energy waste. However, some studies have proven that these systems have a clear mismatch between the information that is presented and the one the user finds useful for his daily life, leading to demotivation of use. In order to create a solution more oriented towards the user’s demands, a specially tailored language (DSL) was implemented. This solution allows the user to acquire the information he considers useful, through the construction of questions about his energy consumption. The development of this language, following the Model Driven Development (MDD) approach, took into consideration the ideas of facility managers and home users in the phases of design and validation. These opinions were gathered through meetings with experts and a survey, which was conducted to the purpose of collecting statistics about what home users want to know.

Integrated data model and DSL modifications

Companies are increasingly more and more dependent on distributed web-based software systems to support their businesses. This increases the need to maintain and extend software systems with up-to-date new features. Thus, the development process to introduce new features usually needs to be swift and agile, and the supporting software evolution process needs to be safe, fast, and efficient. However, this is usually a difficult and challenging task for a developer due to the lack of support offered by programming environments, frameworks, and database management systems. Changes needed at the code level, database model, and the actual data contained in the database must be planned and developed together and executed in a synchronized way. Even under a careful development discipline, the impact of changing an application data model is hard to predict. The lifetime of an application comprises changes and updates designed and tested using data, which is usually far from the real, production, data. So, coding DDL and DML SQL scripts to update database schema and data, is the usual (and hard) approach taken by developers. Such manual approach is error prone and disconnected from the real data in production, because developers may not know the exact impact of their changes. This work aims to improve the maintenance process in the context of Agile Platform by Outsystems. Our goal is to design and implement new data-model evolution features that ensure a safe support for change and a sound migration process. Our solution includes impact analysis mechanisms targeting the data model and the data itself. This provides, to developers, a safe, simple, and guided evolution process.

Sistema de deteção de eventos adversos baseado num data warehouse

RESUMO - A Segurança do Doente tem assumido uma relevância crescente nas organizações de saúde, resultado da divulgação de diversos estudos que revelaram a magnitude deste problema e simultaneamente, de uma maior pressão por parte da opinião pública e da comunicação social. Este estudo pretende desenvolver e avaliar a performance de um sistema eletrónico de deteção de eventos adversos, baseado num Data Warehouse, por comparação com os resultados obtidos pela metodologia tradicional de revisão dos registos clínicos. O objetivo principal do trabalho consistiu em identificar um conjunto de triggers / indicadores de alerta que permitam detetar potenciais eventos adversos mais comuns. O sistema desenvolvido apresentou um Valor Preditivo Positivo de 18.2%, uma sensibilidade de 65.1% e uma especificidade de 68.6%, sendo constituído por nove indicadores baseados em informação clínica e 445 códigos do ICD-9-CM, relativos a diagnósticos e procedimentos. Apesar de terem algumas limitações, os sistemas eletrónicos de deteção de eventos adversos apresentam inúmeras potencialidades, nomeadamente a utilização em tempo real e em complemento a metodologias já existentes. Considerando a importância da problemática em análise e a necessidade de aprofundar os resultados obtidos neste trabalho de projeto, seria relevante a sua extensão a um universo mais alargado de instituições hospitalares, estando a sua replicabilidade facilitada, uma vez que o Data Warehouse tem por base um conjunto de aplicações disseminadas a nível nacional. O desenvolvimento e a consolidação dos sistemas eletrónicos de deteção de eventos adversos constitui inegavelmente uma área de futuro, com reflexos ao nível da melhoria da informação existente nas organizações e que contribuirá decisivamente para a melhoria dos cuidados de saúde prestados aos doentes.

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).

Analyzing Geospatial patterns of syrian refugee flows in southeastern Turkey by use of remote sensing and complementary data

Crisis-affected communities and global organizations for international aid are becoming increasingly digital as consequence geotechnology popularity. Humanitarian sector changed in profound ways by adopting new technical approach to obtain information from area with difficult geographical or political access. Since 2011, turkey is hosting a growing number of Syrian refugees along southeastern region. Turkish policy of hosting them in camps and the difficulty created by governors to international aid group expeditions to get information, made such international organizations to investigate and adopt other approach in order to obtain information needed. They intensified its remote sensing approach. However, the majority of studies used very high-resolution satellite imagery (VHRSI). The study area is extensive and the temporal resolution of VHRSI is low, besides it is infeasible only using these sensors as unique approach for the whole area. The focus of this research, aims to investigate the potentialities of mid-resolution imagery (here only Landsat) to obtain information from region in crisis (here, southeastern Turkey) through a new web-based platform called Google Earth Engine (GEE). Hereby it is also intended to verify GEE currently reliability once the Application Programming Interface (API) is still in beta version. The finds here shows that the basic functions are trustworthy. Results pointed out that Landsat can recognize change in the spectral resolution clearly only for the first settlement. The ongoing modifications vary for each case. Overall, Landsat demonstrated high limitations, but need more investigations and may be used, with restriction, as a support of VHRSI.

Identifying the urban communities of New York City using bikeshare data from NYC citibike

This study identifies a measure of the cultural importance of an area within a city. It does so by making use of origindestination trip data and the bike stations of the bike share system in New York City as a proxy to study the city. Rarely is movement in the city studied at such a small scale. The change in strength of the similarity of movement between each station is studied. It is the first study to provide this measure of importance for every point in the system. This measure is then related to the characteristics which make for vibrant city communities, namely highly mixed land use types. It reveals that the spatial pattern of important areas remains constant over differing time periods. Communities are then characterised by the land uses surrounding these stations with high measures of importance. Finally it identifies the areas of global cultural importance alongside the areas of local importance to the city.

Popular music exhibitions in Portugal: practices of representation from 2007 to 2013

This thesis focuses on the representation of Popular Music in museums by mapping, analyzing, and characterizing its practices in Portugal at the beginning of the 21st century. Now that museums' ability to shape public discourse is acknowledged, the examination of popular music's discourses in museums is of the utmost importance for Ethnomusicology and Popular Music Studies as well as for Museum Studies. The concept of 'heritage' is at the heart of this processes. The study was designed with the aim of moving the exhibiting of popular music in museums forward through a qualitative inquiry of case studies. Data collection involved surveying pop-rock music exhibitions as a qualitative sampling of popular music exhibitions in Portugal from 2007 to 2013. Two of these exhibitions were selected as case studies: No Tempo do Gira-Discos: Um Percurso pela Produção Fonográfica Portuguesa at the Museu da Música in Lisbon in 2007 (also Faculdade de Letras, 2009), and A Magia do Vinil, a Música que Mudou a Sociedade at the Oficina da Cultura in Almada in 2008 (and several other venues, from 2009 to 2013). Two specific domains were observed: popular music exhibitions as instances of museum practice and museum professionals. The first domain encompasses analyzing the types of objects selected for exhibition; the interactive museum practices fostered by the exhibitions; the concepts and narratives used to address popular music discursively, as well as the interpretative practices they allow. The second domain, focuses museum professionals and curators of popular music exhibitions as members of a group, namely their goals, motivations and perspectives. The theoretical frameworks adopted were drawn from the fields of ethnomusicology, popular music studies, and museum studies. The written materials of the exhibitions were subjected of methods of discourse analysis methods. Semi-structured interviews with curators and museum professional were also conducted and analysed. From the museum studies perspective, the study research suggests that the practice adopted by popular music museums largely matches that of conventional museums. From the ethnomusicological and popular music studies stand point, the two case studies reveal two distinct conceptual worlds: the first exhibition, curated by an academic and an independent researcher, points to a mental configuration where popular music is explained through a framework of genres supported by different musical practices. Moreover, it is industry actors such as decision makers and gatekeepers that govern popular music, which implies that the visitors' romantic conception of the musician is to some extent dismantled; the second exhibition, curated by a record collector and specialist, is based on a more conventional process of the everyday historical speech that encodes a mismatch between “good” and “bad music”. Data generated by a survey shows that only one curator, in fact that of my first case study, has an academic background. The backgrounds of all the others are in some way similar to the curator of the second case study. Therefore, I conclude that the second case study best conveys the current practice of exhibiting Popular Music in Portugal.

Fatores que influenciam a adesão à terapêutica antirretroviral : a perceção dos enfermeiros de um serviço de infeciologia

RESUMO - A investigação no âmbito da infeção por VIH/SIDA tem tido avanços notáveis, nomeadamente no que se refere à evolução da terapêutica antirretroviral, sendo atualmente o único meio de controlar a doença. Nesta área, a compreensão da problemática da adesão torna-se importante para as instituições e para os profissionais de saúde, quer pelas taxas de morbilidade e mortalidade associadas à doença, quer pelos problemas de saúde pública e pelos gastos financeiros das organizações de saúde. A adesão ao regime terapêutico é um conceito que engloba tanto o cumprimento da prescrição medicamentosa, como dos comportamentos promotores de saúde. O presente estudo teve como objetivo identificar como os enfermeiros, a desempenhar funções num serviço de infeciologia, percecionam a adesão à terapêutica antirretroviral, por indivíduos portadores de VIH/SIDA. Participaram neste estudo nove enfermeiras a desempenhar funções no serviço de Medicina 1/Infeciologia/HDI do Hospital Fernando Fonseca, EPE, que reuniam os critérios definidos. Como metodologia para a identificação da perceção dos enfermeiros realizou-se um estudo qualitativo e utilizou-se uma entrevista semi-estruturada. Da análise das entrevistas, resultaram diferentes áreas temáticas. Os resultados obtidos evidenciam a importância atribuída à adesão à terapêutica antirretroviral e demostram que o acompanhamento dos doentes pelos profissionais e instituições de saúde permite o desenvolvimento de estratégias promotoras de adesão. Verifica-se que é ainda necessário percorrer um longo caminho, de forma a se obterem resultados ótimos de adesão. Contudo, os resultados obtidos no presente estudo são um incentivo para o desenvolvimento de estratégias de adesão e para a melhoria da gestão da qualidade.

The role of qualitative data and systems thinking in addressing service decline in market towns

Retail services are a main contributor to municipal budget and are an activity that affects perceived quality-of-life, especially for those with mobility difficulties (e.g. the elderly, low income citizens). However, there is evidence of a decline in some of the services market towns provide to their citizens. In market towns, this decline has been reported all over the western world, from North America to Australia. The aim of this research was to understand retail decline and enlighten on some ways of addressing this decline, using a case study, Thornbury, a small town in the Southwest of England. Data collected came from two participatory approaches: photo-surveys and multicriteria mapping. The interpretation of data came from using participants as analysts, but also, using systems thinking (systems diagramming and social trap theory) for theory building. This research moves away from mainstream economic and town planning perspectives by making use of different methods and concepts used in anthropology and visual sociology (photo-surveys), decision-making and ecological economics (multicriteria mapping and social trap theory). In sum, this research has experimented with different methods, out of their context, to analyse retail decline in a small town. This research developed a conceptual model for retail decline and identified the existence of conflicting goals and interests and their implications for retail decline, as well as causes for these. Most of the potential causes have had little attention in the literature. This research also identified that some of the measures commonly used for dealing with retail decline may be contributing to the causes of retail decline itself. Additionally, this research reviewed some of the measures that can be used to deal with retail decline, implications for policy-making and reflected on the use of the data collection and analysis methods in the context of small to medium towns.

Use of Poisson spatiotemporal regression models for the Brazilian Amazon Forest: malaria count data

INTRODUCTION: Malaria is a serious problem in the Brazilian Amazon region, and the detection of possible risk factors could be of great interest for public health authorities. The objective of this article was to investigate the association between environmental variables and the yearly registers of malaria in the Amazon region using Bayesian spatiotemporal methods. METHODS: We used Poisson spatiotemporal regression models to analyze the Brazilian Amazon forest malaria count for the period from 1999 to 2008. In this study, we included some covariates that could be important in the yearly prediction of malaria, such as deforestation rate. We obtained the inferences using a Bayesian approach and Markov Chain Monte Carlo (MCMC) methods to simulate samples for the joint posterior distribution of interest. The discrimination of different models was also discussed. RESULTS: The model proposed here suggests that deforestation rate, the number of inhabitants per km², and the human development index (HDI) are important in the prediction of malaria cases. CONCLUSIONS: It is possible to conclude that human development, population growth, deforestation, and their associated ecological alterations are conducive to increasing malaria risk. We conclude that the use of Poisson regression models that capture the spatial and temporal effects under the Bayesian paradigm is a good strategy for modeling malaria counts.

A segurança das infraestruturas críticas em Portugal

Portugal, having responsibilities at European level, needs to ensure compliance with European standards, particularly with regard to the European Security Plan for Critical Infrastructures. National critical infrastructures should be a focus of attention with regard to the management of public risks, since these represent "a set of services that are essential to the functioning of the country and the functioning of the forces that ensure national defense." (Soares, 2008) This contribution on national critical infrastructures (CI) has the essential objective of clarifying the development of the strategy adopted by Portugal in pursuit of the security of these fundamental infrastructures. The goal lies not only through producing a descriptive document, but also carry a brief confrontation between the legal framework related to these subjects and the reality in which the Critical Infrastructure Operators and the National Civil Protection Authority (ANPC) operate. It is intended, in this sense, to understand the development of the project for the national security program of critical infrastructures and what effects of its measures on operators. As for the methodology, we followed a methodological strategy, where we combine the literature with data obtained through semi-structured interviews. Portugal, being a geographically peripheral country and having no record of incidents capable of causing major contingencies in key services for the normal development of society, does not have a structured and regulator plan that substantiates the need for operators responsible for CI to invest in security. This same approach is expected at the State level, believing that even though this theme has be widely explored by international institutions, Portugal has not yet tried to give the attention it deserves. Without the existence of an institution and a regulatory system, CI operators can become less available to comply with the legal framework.