Nanosized iron based permeable reactive barriers for nitrate removal - Systematic review

It is unquestionable that an effective decision concerning the usage of a certain environmental clean-up technology should be conveniently supported. Significant amount of scientific work focussing on the reduction of nitrate concentration in drinking water by both metallic iron and nanomaterials and their usage in permeable reactive barriers has been worldwide published over the last two decades. This work aims to present in a systematic review of the most relevant research done on the removal of nitrate from groundwater using nanosized iron based permeable reactive barriers. The research was based on scientific papers published between 2004 and June 2014. It was performed using 16 combinations of keywords in 34 databases, according to PRISMA statement guidelines. Independent reviewers validated the selection criteria. From the 4161 records filtered, 45 met the selection criteria and were selected to be included in this review. This study's outcomes show that the permeable reactive barriers are, indeed, a suitable technology for denitrification and with good performance record but the long-term impact of the use of nanosized zero valent iron in this remediation process, in both on the environment and on the human health, is far to be conveniently known. As a consequence, further work is required on this matter, so that nanosized iron based permeable reactive barriers for the removal of nitrate from drinking water can be genuinely considered an eco-efficient technology.

Robust facial expression analysis for affect-based interaction

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Video interaction using pen-based technology

Dissertação para obtenção do Grau de Doutor em Informática

E-Health individual adoption - empirical model based on UTAUT 2.

The future of health care delivery is becoming more citizen-centred, as today’s user is more active, better informed and more demanding. The European Commission is promoting online health services and, therefore, member states will need to boost deployment and use of online services. This makes e-health adoption an important field to be studied and understood. This study applied the extended unified theory of acceptance and usage technology (UTAUT2) to explain patients’ individual adoption of e-health. An online questionnaire was administrated Portugal using mostly the same instrument used in UTAUT2 adapted to e-health context. We collected 386 valid answers. Performance expectancy, effort expectancy, social influence, and habit had the most significant explanatory power over behavioural intention and habit and behavioural intention over technology use. The model explained 52% of the variance in behavioural intention and 32% of the variance in technology use. Our research helps to understand the desired technology characteristics of ehealth. By testing an information technology acceptance model, we are able to determine what is more valued by patients when it comes to deciding whether to adopt e-health systems or not.

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.

Performance analysis of an SRI screen based on employment quality in high and low capital industries: International evidence

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics and Maastricht University School of Business and Economics

An agent-based simulator to estimate domestic energy use

Throughout recent years, there has been an increase in the population size, as well as a fast economic growth, which has led to an increase of the energy demand that comes mainly from fossil fuels. In order to reduce the ecological footprint, governments have implemented sustainable measures and it is expected that by 2035 the energy produced from renewable energy sources, such as wind and solar would be responsible for one-third of the energy produced globally. However, since the energy produced from renewable sources is governed by the availability of the respective primary energy source there is often a mismatch between production and demand, which could be solved by adding flexibility on the demand side through demand response (DR). DR programs influence the end-user electricity usage by changing its cost along the time. Under this scenario the user needs to estimate the energy demand and on-site production in advance to plan its energy demand according to the energy price. This work focuses on the development of an agent-based electrical simulator, capable of: (a) estimating the energy demand and on-site generation with a 1-min time resolution for a 24-h period, (b) calculating the energy price for a given scenario, (c) making suggestions on how to maximize the usage of renewable energy produced on-site and to lower the electricity costs by rescheduling the use of certain appliances. The results show that this simulator allows reducing the energy bill by 11% and almost doubling the use of renewable energy produced on-site.

An agent based architecture to support monitoring in plug and produce manufacturing systems using knowledge extraction

In recent years a set of production paradigms were proposed in order to capacitate manufacturers to meet the new market requirements, such as the shift in demand for highly customized products resulting in a shorter product life cycle, rather than the traditional mass production standardized consumables. These new paradigms advocate solutions capable of facing these requirements, empowering manufacturing systems with a high capacity to adapt along with elevated flexibility and robustness in order to deal with disturbances, like unexpected orders or malfunctions. Evolvable Production Systems propose a solution based on the usage of modularity and self-organization with a fine granularity level, supporting pluggability and in this way allowing companies to add and/or remove components during execution without any extra re-programming effort. However, current monitoring software was not designed to fully support these characteristics, being commonly based on centralized SCADA systems, incapable of re-adapting during execution to the unexpected plugging/unplugging of devices nor changes in the entire system’s topology. Considering these aspects, the work developed for this thesis encompasses a fully distributed agent-based architecture, capable of performing knowledge extraction at different levels of abstraction without sacrificing the capacity to add and/or remove monitoring entities, responsible for data extraction and analysis, during runtime.

The burden of chronic low back pain in the adult Portuguese population : an epidemiological population-based study under the scope of Epireumapt

RESUMO: Nos países desenvolvidos a lombalgia é a condição músculo-­‐esquelética mais prevalente. Quando evolui para um quadro crónico é responsável por um encargo económico bastante considerável, não só em relação aos indivíduos, mas também para a sociedade. A lombalgia crónica é por isso uma das principais causas de perda de produtividade e de perda de independência económica, nomeadamente através do absenteísmo (ausência do trabalho), do presenteísmo (perda de produtividade no trabalho, devido à capacidade diminuída provocada pela lombalgia) e da incapacidade para trabalhar (invalidez permanente, total ou parcial). Até à data, em Portugal, a prevalência e carga social da lombalgia crónica eram desconhecidas. Até agora não existiam estudos populacionais de grande dimensão sobre este tema. O objetivo principal desta tese foi determinar a prevalência de lombalgia crónica, e também avaliar a carga social que esta tem na população adulta Portuguesa. O trabalho de investigação foi desenvolvido no âmbito do Estudo Epidemiológico de Doenças Reumáticas em Portugal (EpiReumaPt). Este foi o primeiro estudo de larga escala e de base populacional, que determinou a prevalência de doenças reumáticas e músculo-­‐ esqueléticas na população adulta portuguesa. Foi realizado numa amostra aleatória e representativa, de 10.661 indivíduos do Continente, da Região Autónoma dos Açores e da Região Autónoma da Madeira, entre Setembro de 2011 e Dezembro de 2013. Esta tese foi dividida em duas secções. A primeira secção incluiu o detalhe das questões relativas ao desenvolvimento e gestão do EpiReumaPt, constituindo-­‐se como um guia prático sobre como realizar um estudo de base populacional de larga escala, em Portugal. A metodologia detalhada do EpiReumaPt foi também descrita nesta secção e incluiu os objectivos, o desenho do estudo, as características de recrutamento e a preparação de dados para análise. Nesta secção foram ainda descritos os principais resultados do EpiReumaPt. Estes evidenciaram que a lombalgia foi a condição músculo-­‐esquelética com maior prevalência na população adulta portuguesa.A segunda secção desta tese estimou a prevalência da lombalgia crónica ativa na população adulta Portuguesa, e avaliou a carga social esta condição. A lombalgia ativa foi definida com base na dor auto-­‐relatada no dia da entrevista e que persistia há pelo menos 90 dias (independentemente da causa). A lombalgia foi definida como dor na área definida entre a margem inferior das décimas segundas costelas até às pregas glúteas inferiores, com ou sem dor nos membros inferiores. A carga social foi medida tendo em conta os seguintes parâmetros: qualidade de vida, função, consumo de recursos de saúde, consumo de analgésicos e outros fármacos usados no alívio da dor, sintomas de ansiedade e sintomas de depressão. Os resultados mostraram que o consumo de recursos em saúde e a carga social da lombalgia crónica na população adulta Português é significativa. Também a incapacidade causada pela lombalgia crónica,nos indivíduos com idade ativa, é responsável por elevadas taxas de absenteísmo e má qualidade de vida, aos quais acresce o consequente ónus socioeconómico. Esta tese também concluiu que o consumo de analgésicos e outros medicamentos para alívio da dor, na população adulta portuguesa com lombalgia crónica ativa, é relativamente baixa. A maioria destes indivíduos não tomava nenhum medicamento analgésico, independentemente da intensidade da dor. Mesmo os indivíduos que reportaram dor intensa, apenas 4.0% estavam no primeiro degrau da escada analgésica da Organização Mundial de Saúde; 2.3% usavam opióides fracos e 0.03% usavam opióides fortes para controlar a dor (segundo e terceiro degrau da escada analgésica da Organização Mundial da Saúde). O trabalho de investigação também confirmou que a prevalência de sintomas de ansiedade e depressão entre os indivíduos adultos portugueses com lombalgia crónica ativa é elevada. Nestes indivíduos, registou-­‐se um consumo mais elevado de analgésicos e outros medicamentos para alívio da dor, quando comparados com os indivíduos com lombalgia crónica activa sem esses sintomas psicológicos. Os grupos terapêuticos mais utilizados foram os ansiolíticos, sedativos e hipnóticos, os antidepressivos e os anti-­‐inflamatórios não esteróides. A intensidade média da dor reportada foi também maior entre os indivíduos com lombalgia ativa e sintomas de ansiedade e/ou depressão. Também nestes, foi reportada pior função e pior estado de saúde. Em relação ao consumo de recursos de saúde foram encontradas diferenças significativas entre as duas populações: os indivíduos com lombalgia ativa e sintomas psicológicos concomitantes registaram maior número de consultas de psiquiatria de outras especialidades médicas, assim como precisaram de mais apoio domiciliário nos 12 meses prévios à entrevista do EpiReumaPt. Foram também identificados os fatores associados a sintomas isolados de ansiedade, a sintomas isolados de depressão e a sintomas de ansiedade e depressão. Resumindo,esta tese permitiu concluir que a lombalgia crónica é um problema de saúde comum na população adulta portuguesa, contribuindo para um elevado grau de incapacidade e que consequentemente afeta o desempenho laboral e o bem-­‐estar dos indivíduos. A lombalgia crónica é também responsável por um consumo considerável de recursos de saúde. Acresce ainda que os sintomas de ansiedade e depressão são comuns, entre os indivíduos com lombalgia crónica, contribuindo com uma carga social adicional.---------------------------------- ABSTRACT:Low Back Pain(LBP) is the most prevalent of musculoskeletal condition in developed countries.When it becomes chronic, LBP causesan enormous economic burden on individuals and society -­‐ it is one of the leading causes of loss of productivity and economic independence through absenteeism (time off work), presenteeism (lost productivity because of diminished capacity while at work) and work disability (permanent, partial or complete disablement for work purposes). In Portugal the prevalence and burden of LBP and chronic LBP (CLBP) were poorly defined. Until now no large population-­‐based studies have focused on this. The main aim of this thesis was to determine the prevalence of LBP and CLBP, and also to assess the burden of CLBP in the adult rtuguese population. The research work was developed under the scope of EpiReumaPt (the Portuguese Epidemiologic Study of Rheumatic Diseases). EpiReumaPt was the first national large population-­‐based and prevalence study of rheumatic and musculoskeletal diseases (RMD). It was performed among a randomized and representative sample of 10,661 adult Portuguese subjects recruited in Mainland, Azores and Madeira Islands, from September 2011 to December 2013. The first section of this thesis included detailed issues regarding the development and management of EpiReumaPt, and provided a practical guide on how to set-­‐up a large population-­‐based study in Portugal. The detailed methodology of EpiReumaPt, including its objectives,study design,recruitment features,and data preparation for analyses were also described. The main results from EpiReumaPt study were provided in this section and showed that LBP was the musculoskeletal condition with highest prevalence among Portuguese population. The second section of this thesis estimated the prevalence of active CLBP among adult Portuguese population, and assessed the social burden of this condition. Active CLBP was defined based on self-­‐reported pain on the day of the interview, and for most of the time for at least 90 days (independently from cause). LBP was defined as pain in the back area from the lower margin of the twelfth ribs to he lower gluteal folds, with or without pain referred to the lower limbs. Social burden was measured taking into account the following outcomes: quality of life, function, healthcare resources consumption, analgesic and other pain relief drugs intake, anxiety and depression symptoms. Results showed that the healthcare consumption and social burden of CLBP among adult Portuguese population were enormous, and the disability caused by CLBP among subjects in a working age provides high rates of absenteeism (work loss) and poor quality of life, with a consequent socioeconomic burden. This thesis also concluded that analgesic and other pain relief drugs untake among adult Portuguese population with active CLBP was very low. Most of the subjects with active CLBP did not take any analgesic drug regardless pain severity. Even when subjects self-­‐reported severe pain, only 24.0% were in the 1st step of the analgesic ladder,2.3% used weak analgesic opioids and 0.03% used strong opioids (2nd and 3rd step of WHO analgesic ladder, respectively) to control pain . The research work also confirmed that the prevalence of anxiety and depression symptoms among adult Portuguese subjects with active CLBP was high. Regarding pharmacological therapy, the intake of analgesic and other pain relief drugs was higher among subjects with anxiety and/or depression symptoms, when compared with subjects without these psychological symptoms. Anxiolytics, sedatives and hypnotics, antidepressants and NSAIDs intake had higher usage rates among these subjects. The pain severity mean was also higher among this subjects and function and health status was worse. Regarding healthcare resources consumption,significant differences between the two populations were found. Subjects with ctive CLBP and concomitant psychological symptoms had a higher number of psychiatrist and other physician visits. They also needed more home care in the previous 12 months. Factors associated with isolated symptoms of anxiety, depression,and concomitant anxiety and depression symptoms were also identified. Summarizing, we concluded that CLBP is a common health problem among adult Portuguese population contributing to disability and affecting labor performance, and the well being of subjects. it is also responsible for considerable healthcare resource consumption. Anxiety and depression symptoms are common among subjects with CLBP and provided an additional burden among them.

Metabolic profiling and classification of propolis samples from Southern Brazil: an NMR-based platform coupled with machine learning

The chemical composition of propolis is affected by environmental factors and harvest season, making it difficult to standardize its extracts for medicinal usage. By detecting a typical chemical profile associated with propolis from a specific production region or season, certain types of propolis may be used to obtain a specific pharmacological activity. In this study, propolis from three agroecological regions (plain, plateau, and highlands) from southern Brazil, collected over the four seasons of 2010, were investigated through a novel NMR-based metabolomics data analysis workflow. Chemometrics and machine learning algorithms (PLS-DA and RF), including methods to estimate variable importance in classification, were used in this study. The machine learning and feature selection methods permitted construction of models for propolis sample classification with high accuracy (>75%, reaching 90% in the best case), better discriminating samples regarding their collection seasons comparatively to the harvest regions. PLS-DA and RF allowed the identification of biomarkers for sample discrimination, expanding the set of discriminating features and adding relevant information for the identification of the class-determining metabolites. The NMR-based metabolomics analytical platform, coupled to bioinformatic tools, allowed characterization and classification of Brazilian propolis samples regarding the metabolite signature of important compounds, i.e., chemical fingerprint, harvest seasons, and production regions.

Likelihood-based approaches to modeling demand for medical care

We review recent likelihood-based approaches to modeling demand for medical care. A semi-nonparametric model along the lines of Cameron and Johansson's Poisson polynomial model, but using a negative binomial baseline model, is introduced. We apply these models, as well a semiparametric Poisson, hurdle semiparametric Poisson, and finite mixtures of negative binomial models to six measures of health care usage taken from the Medical Expenditure Panel survey. We conclude that most of the models lead to statistically similar results, both in terms of information criteria and conditional and unconditional prediction. This suggests that applied researchers may not need to be overly concerned with the choice of which of these models they use to analyze data on health care demand.

Improved efficiency of a Salmonella-based vaccine against human papillomavirus type 16 virus-like particles achieved by using a codon-optimized version of L1.

Cervical cancer results from cervical infection by human papillomaviruses (HPVs), especially HPV16. An effective vaccine against these HPVs is expected to have a dramatic impact on the incidence of this cancer and its precursor lesions. The leading candidate, a subunit prophylactic HPV virus-like particle (VLP) vaccine, can protect women from HPV infection. An alternative improved vaccine that avoids parenteral injection, that is efficient with a single dose, and that induces mucosal immunity might greatly facilitate vaccine implementation in different settings. In this study, we have constructed a new generation of recombinant Salmonella organisms that assemble HPV16 VLPs and induce high titers of neutralizing antibodies in mice after a single nasal or oral immunization with live bacteria. This was achieved through the expression of a HPV16 L1 capsid gene whose codon usage was optimized to fit with the most frequently used codons in Salmonella. Interestingly, the high immunogenicity of the new recombinant bacteria did not correlate with an increased expression of L1 VLPs but with a greater stability of the L1-expressing plasmid in vitro and in vivo in absence of antibiotic selection. Anti-HPV16 humoral and neutralizing responses were also observed with different Salmonella enterica serovar Typhimurium strains whose attenuating deletions have already been shown to be safe after oral vaccination of humans. Thus, our findings are a promising improvement toward a vaccine strain that could be tested in human volunteers.

Differential T cell receptor photoaffinity labeling among H-2Kd restricted cytotoxic T lymphocyte clones specific for a photoreactive peptide derivative. Labeling of the alpha-chain correlates with J alpha segment usage.

Using a direct binding assay based on photoaffinity labeling, we studied the interaction of T cell receptor (TCR) with a Kd-bound photoreactive peptide derivative on living cells. The Kd-restricted Plasmodium berghei circumsporozoite (PbCS) peptide 253-260 (YIPSAEKI) was reacted NH2-terminally with biotin and at the TCR contact residue Lys259 with photoreactive iodo, 4-azido salicylic acid (IASA) to make biotin-YIPSAEK(IASA)I. Cytotoxic T lymphocyte (CTL) clones derived from mice immunized with this derivative recognized this conjugate, but not a related one lacking the IASA group nor the parental PbCS peptide. The clones were Kd restricted. Recognition experiments with variant conjugates, lacking substituents from IASA, revealed a diverse fine specificity pattern and indicated that this group interacted directly with the TCR. The TCR of four clones could be photoaffinity labeled by biotin-YIPSAEK(125IASA)I. This labeling was dependent on the conjugates binding to the Kd molecule and was selective for the TCR alpha (2 clones) or beta chain (1 clone), or was common for both chains (1 clone). TCR sequence analysis showed a preferential usage of J alpha TA28 containing alpha chains that were paired with V beta 1 expressing beta chains. The TCR that were photoaffinity labeled at the alpha chain expressed these J alpha and V beta segments. The tryptophan encoded by the J alpha TA28 segment is rarely found in other J alpha segments. Moreover, we show that the IASA group interacts preferentially with tryptophan in aqueous solution. We thus propose that for these CTL clones, labeling of the alpha chain occurs via the J alpha-encoded tryptophan residue.

SGP-1: prediction and validation of homologous genes based on sequence alignments

Conventional methods of gene prediction rely on the recognition of DNA-sequence signals, the coding potential or the comparison of a genomic sequence with a cDNA, EST, or protein database. Reasons for limited accuracy in many circumstances are species-specific training and the incompleteness of reference databases. Lately, comparative genome analysis has attracted increasing attention. Several analysis tools that are based on human/mouse comparisons are already available. Here, we present a program for the prediction of protein-coding genes, termed SGP-1 (Syntenic Gene Prediction), which is based on the similarity of homologous genomic sequences. In contrast to most existing tools, the accuracy of SGP-1 depends little on species-specific properties such as codon usage or the nucleotide distribution. SGP-1 may therefore be applied to nonstandard model organisms in vertebrates as well as in plants, without the need for extensive parameter training. In addition to predicting genes in large-scale genomic sequences, the program may be useful to validate gene structure annotations from databases. To this end, SGP-1 output also contains comparisons between predicted and annotated gene structures in HTML format. The program can be accessed via a Web server at http://soft.ice.mpg.de/sgp-1. The source code, written in ANSI C, is available on request from the authors.

Usage analysis of the Nursing Activities Score in two Spanish ICUS

The aim of this study was to analyze the discourse of health managers on aspects related to delay in tuberculosis diagnosis. This was a qualitative research study, conducted with 16 Family Health Unit managers. The empirical data were obtained through semi-structured interviews. The analysis was based on the theoretical framework of the French school of discourse analysis. According to the managers’ statements, the delay in tuberculosis diagnosis is related to patient and health service aspects. As for patient aspects, managers report fear, prejudice and lack of information as factors that may promote a delayed diagnosis. Regarding health service aspects, structural problems and lack of professional skills were reported. The discourse of managers should be considered to qualify tuberculosis control actions and to prevent delays in diagnosis.