Spatial and spatiotemporal occurrence of human visceral leishmaniasis in Adamantina, State of São Paulo, Brazil

Abstract: INTRODUCTION : Several municipalities of the Western region of the State of São Paulo have been affected by human visceral leishmaniasis (HVL), including the City of Adamantina, where the first autochthonous cases occurred in 2004. Therefore, this study aimed to describe the spatial and spatiotemporal occurrence of HVL in Adamantina. METHODS : Secondary data regarding the occurrence of HVL in Adamantina between 2004 and 2011 were used. Incidence, mortality, and case fatality rates were calculated. We used local empirical Bayesian incidence rates to represent the occurrence of the disease in the census sector of the city. The existence of spatial and spatiotemporal clusters of cases was evaluated using scan statistics. In situ observation was performed to assess the socioeconomic and environmental characteristics of the areas with medium and high incidences. RESULTS : Adamantina reported cases in 70% of its census sectors. No differences were observed between sexes. The group aged 0-4 years presented the highest incidence and mortality rates, and the group aged 40-59 years presented the highest fatality rate. We detected a spatiotemporal cluster, which coincided with the commencement of the endemic in the city. CONCLUSIONS : The individuals most affected by the disease were children. The disease was present in areas with better and worse socioeconomic conditions. The use of spatial analysis techniques was important to achieve the study objectives.

The consumption of beauty products on famale young adults in Portugal. Recommenrations for the brand Lancôme to improve its store trafic

This project aims to explore the Portuguese Beauty and Cosmetics market, and to discuss the usage and purchase behaviour of young female adults, between 18 and 26 years old. After a market analysis based on secondary data, it evaluates the results of qualitative and quantitative research based on 9 interviews and 126 online questionnaires to explore the consumers’ reasoning when choosing products from this category – fragrances, skin care or make-up – as well as their attitude towards brands, with a special focus on the premium cosmetics brand Lancôme. Contrary to our expectations there was no statistically significant positive influence of the online touchpoints within this age segment’s purchase intention. However, results indicate that Lancôme is already being perceived by some as young and modern, but is still suffering the threat of Mass Market brands that are valued by this target, mainly due to a price sensitivity towards premium beauty brands.

A data-driven analytics approach in the study of pneumonia’s fatalities

As huge amounts of data become available in organizations and society, specific data analytics skills and techniques are needed to explore this data and extract from it useful patterns, tendencies, models or other useful knowledge, which could be used to support the decision-making process, to define new strategies or to understand what is happening in a specific field. Only with a deep understanding of a phenomenon it is possible to fight it. In this paper, a data-driven analytics approach is used for the analysis of the increasing incidence of fatalities by pneumonia in the Portuguese population, characterizing the disease and its incidence in terms of fatalities, knowledge that can be used to define appropriate strategies that can aim to reduce this phenomenon, which has increased more than 65% in a decade.

Avaliação de políticas públicas de desenvolvimento turístico das cidades de Gramado (Brasil) e Rovaniemi (Finlândia)

Tese de Doutoramento Geografia (Área de Especialização: Geografia e Planeamento Regional)

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.

Data supporting the role of enzymes and polysaccharides during cassava postharvest physiological deterioration

This data article is referred to the research article entitled The role of ascorbate peroxidase, guaiacol peroxidase, and polysaccharides in cassava (Manihot esculenta Crantz) roots under postharvest physiological deterioration by Uarrota et al. (2015). Food Chemistry 197, Part A, 737746. The stress duo to PPD of cassava roots leads to the formation of ROS which are extremely harmful and accelerates cassava spoiling. To prevent or alleviate injuries from ROS, plants have evolved antioxidant systems that include non-enzymatic and enzymatic defence systems such as ascorbate peroxidase, guaiacol peroxidase and polysaccharides. In this data article can be found a dataset called newdata, in RData format, with 60 observations and 06 variables. The first 02 variables (Samples and Cultivars) and the last 04, spectrophotometric data of ascorbate peroxidase, guaiacol peroxidase, tocopherol, total proteins and arcsined data of cassava PPD scoring. For further interpretation and analysis in R software, a report is also provided. Means of all variables and standard deviations are also provided in the Supplementary tables (data.long3.RData, data.long4.RData and meansEnzymes.RData), raw data of PPD scoring without transformation (PPDmeans.RData) and days of storage (days.RData) are also provided for data analysis reproducibility in R software.

Text mining na análise de sentimentos em contextos de big data

Dissertação de mestrado integrado em Engenharia e Gestão de Sistemas de Informação

Data analytics: abordagem para visualização da informação

Dissertação de mestrado integrado em Engenharia e Gestão de Sistemas de Informação

Analysing the impact of public capital stock using the NEG wage equation: a panel data approach

This paper examines the relationship between the level of public infrastructure and the level of productivity using panel data for the Spanish provinces over the period 1984-2004, a period which is particularly relevant due to the substantial changes occurring in the Spanish economy at that time. The underlying model used for the data analysis is based on the wage equation, which is one of a handful of simultaneous equations which when satisfied correspond to the short-run equilibrium of New Economic Geography theory. This is estimated using a spatial panel model with fixed time and province effects, so that unmodelled space and time constant sources of heterogeneity are eliminated. The model assumes that productivity depends on the level of educational attainment and the public capital stock endowment of each province. The results show that although changes in productivity are positively associated with changes in public investment within the same province, there is a negative relationship between productivity changes and changes in public investment in other regions.

A Panel Data Investigation of Real Exchange Rate Misalignment and Growth

The paper investigates the role of real exchange rate misalignment on long-run growth for a set of ninety countries using time series data from 1980 to 2004. We first estimate a panel data model (using fixed and random effects) for the real exchange rate, with different model specifications, in order to produce estimates of the equilibrium real exchange rate and this is then used to construct measures of real exchange rate misalignment. We also provide an alternative set of estimates of real exchange rate misalignment using panel cointegration methods. The variables used in our real exchange rate models are: real per capita GDP; net foreign assets; terms of trade and government consumption. The results for the two-step System GMM panel growth models indicate that the coefficients for real exchange rate misalignment are positive for different model specification and samples, which means that a more depreciated (appreciated) real exchange rate helps (harms) long-run growth. The estimated coefficients are higher for developing and emerging countries.

The Role of Institutions in Cross-Section Income and Panel Data Growth Models: A Deeper Investigation on the Weakness and Proliferation of Instruments

This paper investigates the role of institutions in determining per capita income levels and growth. It contributes to the empirical literature by using different variables as proxies for institutions and by developing a deeper analysis of the issues arising from the use of weak and too many instruments in per capita income and growth regressions. The cross-section estimation suggests that institutions seem to matter, regardless if they are the only explanatory variable or are combined with geographical and integration variables, although most models suffer from the issue of weak instruments. The results from the growth models provides some interesting results: there is mixed evidence on the role of institutions and such evidence is more likely to be associated with law and order and investment profile; government spending is an important policy variable; collapsing the number of instruments results in fewer significant coefficients for institutions.

Design and analysis of ChIP-Seq experiments for nuclear factor I DNA-binding proteins

SUMMARY : Eukaryotic DNA interacts with the nuclear proteins using non-covalent ionic interactions. Proteins can recognize specific nucleotide sequences based on the sterical interactions with the DNA and these specific protein-DNA interactions are the basis for many nuclear processes, e.g. gene transcription, chromosomal replication, and recombination. New technology termed ChIP-Seq has been recently developed for the analysis of protein-DNA interactions on a whole genome scale and it is based on immunoprecipitation of chromatin and high-throughput DNA sequencing procedure. ChIP-Seq is a novel technique with a great potential to replace older techniques for mapping of protein-DNA interactions. In this thesis, we bring some new insights into the ChIP-Seq data analysis. First, we point out to some common and so far unknown artifacts of the method. Sequence tag distribution in the genome does not follow uniform distribution and we have found extreme hot-spots of tag accumulation over specific loci in the human and mouse genomes. These artifactual sequence tags accumulations will create false peaks in every ChIP-Seq dataset and we propose different filtering methods to reduce the number of false positives. Next, we propose random sampling as a powerful analytical tool in the ChIP-Seq data analysis that could be used to infer biological knowledge from the massive ChIP-Seq datasets. We created unbiased random sampling algorithm and we used this methodology to reveal some of the important biological properties of Nuclear Factor I DNA binding proteins. Finally, by analyzing the ChIP-Seq data in detail, we revealed that Nuclear Factor I transcription factors mainly act as activators of transcription, and that they are associated with specific chromatin modifications that are markers of open chromatin. We speculate that NFI factors only interact with the DNA wrapped around the nucleosome. We also found multiple loci that indicate possible chromatin barrier activity of NFI proteins, which could suggest the use of NFI binding sequences as chromatin insulators in biotechnology applications. RESUME : L'ADN des eucaryotes interagit avec les protéines nucléaires par des interactions noncovalentes ioniques. Les protéines peuvent reconnaître les séquences nucléotidiques spécifiques basées sur l'interaction stérique avec l'ADN, et des interactions spécifiques contrôlent de nombreux processus nucléaire, p.ex. transcription du gène, la réplication chromosomique, et la recombinaison. Une nouvelle technologie appelée ChIP-Seq a été récemment développée pour l'analyse des interactions protéine-ADN à l'échelle du génome entier et cette approche est basée sur l'immuno-précipitation de la chromatine et sur la procédure de séquençage de l'ADN à haut débit. La nouvelle approche ChIP-Seq a donc un fort potentiel pour remplacer les anciennes techniques de cartographie des interactions protéine-ADN. Dans cette thèse, nous apportons de nouvelles perspectives dans l'analyse des données ChIP-Seq. Tout d'abord, nous avons identifié des artefacts très communs associés à cette méthode qui étaient jusqu'à présent insoupçonnés. La distribution des séquences dans le génome ne suit pas une distribution uniforme et nous avons constaté des positions extrêmes d'accumulation de séquence à des régions spécifiques, des génomes humains et de la souris. Ces accumulations des séquences artéfactuelles créera de faux pics dans toutes les données ChIP-Seq, et nous proposons différentes méthodes de filtrage pour réduire le nombre de faux positifs. Ensuite, nous proposons un nouvel échantillonnage aléatoire comme un outil puissant d'analyse des données ChIP-Seq, ce qui pourraient augmenter l'acquisition de connaissances biologiques à partir des données ChIP-Seq. Nous avons créé un algorithme d'échantillonnage aléatoire et nous avons utilisé cette méthode pour révéler certaines des propriétés biologiques importantes de protéines liant à l'ADN nommés Facteur Nucléaire I (NFI). Enfin, en analysant en détail les données de ChIP-Seq pour la famille de facteurs de transcription nommés Facteur Nucléaire I, nous avons révélé que ces protéines agissent principalement comme des activateurs de transcription, et qu'elles sont associées à des modifications de la chromatine spécifiques qui sont des marqueurs de la chromatine ouverte. Nous pensons que lés facteurs NFI interagir uniquement avec l'ADN enroulé autour du nucléosome. Nous avons également constaté plusieurs régions génomiques qui indiquent une éventuelle activité de barrière chromatinienne des protéines NFI, ce qui pourrait suggérer l'utilisation de séquences de liaison NFI comme séquences isolatrices dans des applications de la biotechnologie.

El contenido de los puestos de trabajo de los traductores: el caso de los traductores internos en las empresas de traducción de Barcelona

El presente informe es la memoria final de la beca FI que recoge la mayor parte (años 2006-2009) de la investigación realizada en el marco de nuestra tesis doctoral. Se sitúa en el ámbito de la traductología e incorpora elementos conceptuales de la sociología del trabajo y de la organización de empresas. Trata sobre el contenido del trabajo y sus componentes, propios de los puestos de trabajo internos en las empresas de traducción. En la parte conceptual, enfocamos dicho contenido dentro del contexto organizativo de la empresa, dentro del contexto situacional del trabajo real y dentro del contexto del proceso de trabajo que se desarrolla en cada empresa de traducción, cuyo propósito final es producir un servicio de traducción. Además, identificamos la dimensión organizativa e individual del contenido del trabajo. En la parte empírica, analizamos datos procedentes de cuatro empresas de traducción del norte de Francia (fase exploratoria) y de diez empresas situadas en la ciudad de Barcelona (estudio empírico definitivo). Los datos han sido obtenidos mediante entrevistas y observación directa (datos primarios) y mediante los informes de alumnos de prácticas (datos secundarios). Puesto que actualmente (enero de 2010) nos encontramos en la fase del análisis del material empírico recogido, el informe concluye con un primer esbozo de los principales componentes del contenido del trabajo, identificados por nosotros en las empresas de traducción estudiadas. Esperamos ofrecer las conclusiones completas en nuestra tesis doctoral, a punto de finalizar.

Republicanismo, servidumbre y servicio doméstico

En este trabajo se exploran los condicionantes sociológicos e institucionales del mercado del servicio doméstico en Europa. Para ello se trabajó, básicamente, en tres líneas de investigación que aun están en curso. La primera, consiste en una exploración filosófica republicana, histórica y jurídica de la familia y la empresa capitalistas como instituciones que tienen una raigambre histórica común –la antigua domus, donde se desarrollaban todas las actividades productivas y reproductivas y que se caracterizaba constitutivamente por relaciones de dominación entre el propietario de los medios de producción y todos aquéllos que dependían de éste para subsistir-. Bajo el capitalismo, la familia –entendida ya como el hombre, su mujer e hijos legítimos- se constituyó en una institución eminentemente privada y las actividades desarrolladas en su seno quedaron fuera de lo que se consideró trabajo susceptible de reconocimiento económico. En este sentido, la normativa que regula al servicio doméstico como una relación laboral de carácter “especial” es un reflejo de la desvalorización socioeconómica de que ha sido objeto el trabajo reproductivo y la asociación conceptual entre la “improductividad” del ama de casa y la empleada doméstica. En la segunda línea del trabajo se exploraron las variaciones cuantitativas del mercado del servicio doméstico en Europa, cuya trayectoria presenta una forma de U entre la década de 1880 y mediados de la década de 1990. También mediante el análisis de fuentes secundarias de datos se pudieron establecer las profundas diferencias regionales que ha comportado este resurgimiento del empleo en servicios domésticos y su peso dentro de la estructura de empleo de cada sociedad. Por último, en la tercera se indagó la fluctuación histórica y geográfica de la oferta de trabajadoras domésticas en Europa, que pasó de las migraciones internas a las internacionales, coincidiendo con periodos de fuerte desigualdad económica entre las zonas expulsoras y receptoras.

Estudio de la estructura y composición de carbonales (Acacia pennatula) en dos estadios de desarrollo. Diseño de protocolo para el seguimiento de la dinámica de la vegetación en el CIEA "El Limón", Estelí (Nicaragua)

Los carbonales son un tipo de bosque secundario originados por el abandono de un sistema de producción silvopastoril. Estos parches de bosque ocupan una superficie importante de la zona de amortiguamiento de la Reserva Natural del Tisey-La Estanzuela, área del bioma más amenazado del mundo, el Bosque Seco Tropical. La principal especie que compone esta comunidad vegetal es la Acacia pennatula, conocida comúnmente como carbón. Actualmente no hay muchos estudios sobre los carbonales, por lo que el presente proyecto pretende caracterizar la estructura y composición de la comunidad y describir algunos índices ecológicos básicos, en dos estadios diferentes. El análisis de los datos proporciona información de las principales diferencias en cuanto a estructura y composición que tienen lugar en los carbonales. La disminución natural de la densidad de individuos de A. pennatula con los años, parece tener un efecto positivo sobre la diversidad, composición y estructura de la comunidad. En base a estos datos, se ha diseñado un protocolo para realizar un estudio experimental de estas comunidades en el CIEA “El Limón”. En el protocolo, mediante diferentes tratamientos de tala en estadios tempranos, se obtendrán áreas de estudio que presenten un gradiente en la variable densidad de individuos de A. pennatula. El objetivo principal es describir y comparar la estructura, composición y dinámica del carbonal a lo largo del tiempo, y determinar que efecto tiene sobre la comunidad modificar esta variable. Los resultados obtenidos en el protocolo pueden utilizarse como base para desarrollar un plan de manejo para los carbonales que facilite la restauración del Bosque Tropical Seco y el aprovechamiento forestal.