Effects of introspection on meta and structural attitude bases

Introspection is the process by which individuals question their attitudes; either questioning why they hold their attitudes (Why introspection), or how they feel about a particular attitude object (How introspection). Previous research has suggested that Why-introspection induces attitude change, and that Why and How introspection influence attitude-behaviour consistency,persuasion, and other effects. Generally, psychologists have assumed that affective and cognitive attitude bases are the mechanism by which introspection leads to these effects. Leading perspectives originating from these findings suggest that either Why introspection changes the content of cognitive attitude bases (the skewness hypothesis), or increases the salience of cognitive attitude bases (the dominance hypothesis); whereas How introspection may increase the salience of affective attitude bases (another part of the dominance hypothesis). However, direct evidence for these mechanisms is lacking, and the distinction between structural and meta bases has not been considered. Two studies investigated this gap in the existing literature. Both studies measured undergraduate students’ attitudes and attitude bases (both structural and meta, affective and cognitive) before and after engaging in an introspection manipulation (Why introspection / How introspection / control), and after reading a (affective / cognitive) persuasive passage about the attitude object. No evidence was found supporting either the skewness or dominance hypotheses. Furthermore, previous introspection effects were not replicated in the present data. Possible reasons for these null findings are proposed, and several unexpected effects are examined.

Anotação Semântica Automática do Currículo Lattes Utilizando Linked Open Data

A Internet possui inúmeros tipos de documentos e é uma influente fonte de informação.O conteúdo Web é projetado para os seres humanos interpretarem e não para as máquinas.Os sistemas de busca tradicionais são imprecisos na recuperação de informações. Ogoverno utiliza e disponibiliza documentos na Web para que os cidadãos e seus própriossetores organizacionais os utilizem, porém carece de ferramentas que apoiem na tarefa darecuperação desses documentos. Como exemplo, podemos citar a Plataforma de CurrículosLattes administrada pelo Cnpq.A Web semântica possui a finalidade de otimizar a recuperação dos documentos, ondeesses recebem significados, permitindo que tanto as pessoas quanto as máquinas possamcompreender o significado de uma informação. A falta de semântica em nossos documentos,resultam em pesquisas ineficazes, com informações divergentes e ambíguas. Aanotação semântica é o caminho para promover a semântica em documentos.O objetivo da dissertação é montar um arcabouço com os conceitos da Web Semânticaque possibilite anotar automaticamente o Currículo Lattes por meio de bases de dadosabertas (Linked Open Data), as quais armazenam o significado de termos e expressões.O problema da pesquisa está baseado em saber quais são os conceitos associados à WebSemântica que podem contribuir para a Anotação Semântica Automática do CurrículoLattes utilizando o Linked Open Data (LOD)?Na Revisão Sistemática da Literatura foi apresentado conceitos (anotação manual, automática,semi-automática, anotação intrusiva...), ferramentas (Extrator de Entidade...)e tecnologias (RDF, RDFa, SPARQL..) relativas ao tema. A aplicação desses conceitosoportunizou a criação do Sistema Lattes Web Semântico. O sistema possibilita a importaçãodo currículo XML da Plataforma Lattes, efetua a anotação automática dos dadosdisponibilizados utilizando as bases de dados abertas e possibilita efetuar consultas semânticas.A validação do sistema é realizada com a apresentação de currículos anotados e a realizaçãode consultas utilizando dados externos pertencentes ao LOD. Por fim é apresentado asconclusões, dificuldades encontradas e proposta de trabalhos futuros.

Federated architecture for biomedical data integration

The last decades have been characterized by a continuous adoption of IT solutions in the healthcare sector, which resulted in the proliferation of tremendous amounts of data over heterogeneous systems. Distinct data types are currently generated, manipulated, and stored, in the several institutions where patients are treated. The data sharing and an integrated access to this information will allow extracting relevant knowledge that can lead to better diagnostics and treatments. This thesis proposes new integration models for gathering information and extracting knowledge from multiple and heterogeneous biomedical sources. The scenario complexity led us to split the integration problem according to the data type and to the usage specificity. The first contribution is a cloud-based architecture for exchanging medical imaging services. It offers a simplified registration mechanism for providers and services, promotes remote data access, and facilitates the integration of distributed data sources. Moreover, it is compliant with international standards, ensuring the platform interoperability with current medical imaging devices. The second proposal is a sensor-based architecture for integration of electronic health records. It follows a federated integration model and aims to provide a scalable solution to search and retrieve data from multiple information systems. The last contribution is an open architecture for gathering patient-level data from disperse and heterogeneous databases. All the proposed solutions were deployed and validated in real world use cases.

Context-awareness privacy in data communications

Internet users consume online targeted advertising based on information collected about them and voluntarily share personal information in social networks. Sensor information and data from smart-phones is collected and used by applications, sometimes in unclear ways. As it happens today with smartphones, in the near future sensors will be shipped in all types of connected devices, enabling ubiquitous information gathering from the physical environment, enabling the vision of Ambient Intelligence. The value of gathered data, if not obvious, can be harnessed through data mining techniques and put to use by enabling personalized and tailored services as well as business intelligence practices, fueling the digital economy. However, the ever-expanding information gathering and use undermines the privacy conceptions of the past. Natural social practices of managing privacy in daily relations are overridden by socially-awkward communication tools, service providers struggle with security issues resulting in harmful data leaks, governments use mass surveillance techniques, the incentives of the digital economy threaten consumer privacy, and the advancement of consumergrade data-gathering technology enables new inter-personal abuses. A wide range of fields attempts to address technology-related privacy problems, however they vary immensely in terms of assumptions, scope and approach. Privacy of future use cases is typically handled vertically, instead of building upon previous work that can be re-contextualized, while current privacy problems are typically addressed per type in a more focused way. Because significant effort was required to make sense of the relations and structure of privacy-related work, this thesis attempts to transmit a structured view of it. It is multi-disciplinary - from cryptography to economics, including distributed systems and information theory - and addresses privacy issues of different natures. As existing work is framed and discussed, the contributions to the state-of-theart done in the scope of this thesis are presented. The contributions add to five distinct areas: 1) identity in distributed systems; 2) future context-aware services; 3) event-based context management; 4) low-latency information flow control; 5) high-dimensional dataset anonymity. Finally, having laid out such landscape of the privacy-preserving work, the current and future privacy challenges are discussed, considering not only technical but also socio-economic perspectives.

Síntese, caracterização e reatividade de complexos organoestânicos contendo bases de Schiff derivadas de aminoácidos com carbonilas de Mo. W e Re

Tese (doutorado)–Universidade de Brasília, Instituto de Química, Programa de Pós-Graduação em Química, 2015.

Aperture effects on the oxygen abundance determinations from Califa data

This paper aims to provide aperture corrections for emission lines in a sample of spiral galaxies from the Calar Alto Legacy Integral Field Area Survey (CALIFA) database. In particular, we explore the behavior of the log([O III] λ5007/Hβ)/([N II] λ6583/Hα) (O3N2) and log[N II] lambda 6583/Hα (N2) flux ratios since they are closely connected to different empirical calibrations of the oxygen abundances in star-forming galaxies. We compute the median growth curves of Hα, Hα/Hβ, O3N2, and N-2 up to 2.5R(50) and 1.5 disk R-eff. These distances cover most of the optical spatial extent of the CALIFA galaxies. The growth curves simulate the effect of observing galaxies through apertures of varying radii. We split these growth curves by morphological types and stellar masses to check if there is any dependence on these properties. The median growth curve of the Hα flux shows a monotonous increase with radius with no strong dependence on galaxy inclination, morphological type, and stellar mass. The median growth curve of the Hα/HβH ratio monotonically decreases from the center toward larger radii, showing for small apertures a maximum value of ≈10% larger than the integrated one. It does not show any dependence on inclination, morphological type, and stellar mass. The median growth curve of N-2 shows a similar behavior, decreasing from the center toward larger radii. No strong dependence is seen on the inclination, morphological type, and stellar mass. Finally, the median growth curve of O3N2 increases monotonically with radius, and it does not show dependence on the inclination. However, at small radii it shows systematically higher values for galaxies of earlier morphological types and for high stellar mass galaxies. Applying our aperture corrections to a sample of galaxies from the SDSS survey at 0.02 ≤ z ≤ 0.3 shows that the average difference between fiber-based and aperture-corrected oxygen abundances, for different galaxy stellar mass and redshift ranges, reaches typically to ≈11%, depending on the abundance calibration used. This average difference is found to be systematically biased, though still within the typical uncertainties of oxygen abundances derived from empirical calibrations. Caution must be exercised when using observations of galaxies for small radii (e.g., below 0.5 R_eff) given the high dispersion shown around the median growth curves. Thus, the application of these median aperture corrections to derive abundances for individual galaxies is not recommended when their fluxes come from radii much smaller than either R_50 or R_eff.

Experiencia de la Escuela de Bibliotecología, Documentación e Información en el Desarrollo de Bases de Datos con el Programa Computacional Microisis Versión 3.0

En el campo bibliotecológico para desarrollar instrumentos de trabajo que nos permitan comunicarnos con las demás unidades y clientes de información, debemos pensar en normalizar nuestros procesos.Normalizar, en el sentido más amplio, significa seguir reglas que hagan un registro uniforme en cualquier lugar del mundo. Esto se logra mediante la aplicación de códigos y normas que han sido aceptadas internacionalmente por los organismos creados para este fin.El valor de la normalización estriba en evitar la duplicación de los esfuerzos de la catalogación en las diferentes unidades de información documental y facilitar el intercambio de datos bibliográficos tan pronto como sea posible. También, cosiste en darle al cliente la posibilidad de localizar la información en un a forma homogénea que obvie las barreras idiomáticas.

Modelo de mineração de dados em bases de dados acadêmicas

Dissertação (mestrado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Elétrica, 2016.