A pré-adolescencia e as imagos parentais – um estudo Longitudinal

Dissertação de Mestrado apresentada ao Instituto Superior de Psicologia Aplicada para obtenção de grau de Mestre na especialidade de Psicologia Clínica.

Beauty and personal care in mass market: A strategic analysis of perfumery and cosmetics at Sonae MC

Directed internship

Gestão de políticas públicas intersetoriais : uma análise da política nacional de promoção da saúde

Mestrado (dissertação)—Universidade de Brasília, Faculdade de Ciências da Saúde, Programa de Pós-Graduação em Saúde Coletiva, 2015.

Bahadur representation of linear kernel quantile estimator of VaR under mixing assumptions

Bahadur representation and its applications have attracted a large number of publications and presentations on a wide variety of problems. Mixing dependency is weak enough to describe the dependent structure of random variables, including observations in time series and longitudinal studies. This note proves the Bahadur representation of sample quantiles for strongly mixing random variables (including ½-mixing and Á-mixing) under very weak mixing coe±cients. As application, the asymptotic normality is derived. These results greatly improves those recently reported in literature.

Sweet syndrome presenting late after non Hodgkin’s lymphoma and dermatomyositis

Abstract Sweet syndrome is a rare neutrophilic dermatosis consisting in the onset of high fever, neutrophilia, and typical painful skin lesions including erythematous papules, nodules, and plaques on the face, trunk, and extremities, with a bilateral and asymmetrical pattern. Sweet syndrome is classiied as idiopathic, predominating in women; malignancy-associated, mainly with hematological cancer, and drug-induced. The diagnosis is based on clinical history and skin manifestations, being conirmed by a complete blood count showing neutrophilic leukocytosis, and speciic indings in the skin biopsy. We report the case of a 68 year-old man with a 10-year evolution of dermatomyositis complicated by lung ibrosis, followed 8 years later by non-Hodgkin lymphoma (NHL) accompanied by worsening of his ibrosis. Two years after the successful treatment of NHL the patient developed an acute episode of severe dyspnea, multiple skin lesions, and 95% neutrophilia. At that time the patient had a severe lung function impairment complicated by nosocomial pneumonia that led to his death, a few days after the diagnosis of Sweet syndrome was established by histopathology examination. Sweet syndrome is a rare dermatologic entity that can appear several years after diseases characterized by immune dysfunction such as dermatomyositis and NHL.

Corporate governance : value creation and performance in credit unions

In this study, we examine the relationship between good corporate governance practices and the creation of value/performance of credit unions from 2010 to 2012. The objective was to create and validate a corporate governance index for credit unions, and to then analyse the relationship between good governance practices and the creation of value/performance. The problem question is: do good corporate governance practices provide value creation for credit unions? The research started by creating indices from factor analysis to identify latent dependent variables related to value creation and performance; next indices were created from the principal component analysis for the creation of independent latent variables related to corporate governance. Finally, based on panel data from regression models, the influence of the variables and indices related to corporate governance on the indices of value creation and performance was verified. Based on the research, it became evident that the Corporate Governance Index (IGC) is mainly impacted by Executive Management, with 40.31% of the IGC value, followed by the Representation and Participation dimension, with 34.07% of the IGC value. The contribution for academics was the creation of the Corporate Governance Index (IGC) applied for credit unions. As for the contribution to the system of credit unions, the highlight was the effectiveness of the mechanisms for economic-financial and asset management adopted by BACEN, credit unions and OCEMG.

Mulheres negras e (in)visibilidade : imaginários sobre a intersecção de raça e gênero no cinema brasileiro (1999-2009)

Tese (doutorado)—Universidade de Brasília, Faculdade de Comunicação, Programa de Pós-Graduação em Comunicação, 2016.

'Redstone is like electricity': children's performative representations in and around Minecraft

This article investigates 8- and 9-year-old girls’ use of the popular game Minecraft at home and school, particularly the ways in which they performatively ‘bring themselves into being’ through talk and digital production in the social spaces of the classroom and within the game’s multiplayer online world. We explore how the girls undertake practices of curatorship to display their Minecraft knowledge through discussion of the game, both ‘in world’ and in face-to-face interactions, and as they assemble resources within and around the game to design, build and display their creations and share stories about their gameplay.

Beyond construction…..A cross-disciplinary approach to improved learning and teaching in built environment degrees

More than 3.4 million people die each year from water, sanitation and hygiene-related causes. Lack of access to clean water and sanitation kills those most vulnerable in the third world. Leadership in managing cross-disciplinary teams is required to present economical, viable community-based solutions. This project utilised the skills of undergraduates across different disciplines of construction, project management, engineering, design, and communication, to work alongside industry mentors in a team to design, build and present an innovative, sustainable water sanitation solution for a Bangladesh community. The semester-long project enabled undergraduate students to develop skills in client relationships, teamwork, and communication as well as discipline skills of project management and construction. The real-world problem necessitated a paradigm shift away from discipline-based knowledge transference towards skills for the future. The project utilised approaches such as negotiated curriculum and assessment; self-directed, flexible participation in learning; use of social media as a learning tool and cross-disciplinary teamwork. Results from student surveys and interviews indicate that this project directly enhanced students’ work-readiness skills and recognition of the importance of problem solving using cross-disciplinary understandings. Students reported greater self-confidence for tackling future workplace challenges. The results also illustrate strong levels of student satisfaction with the cross-disciplinary approach and the importance of skills in client relationships. The project and its outcomes have implications for how learning and teaching occurs in built environment disciplines and has the potential to create significant impact on the calibre of future built environment graduates.

Rethinking news media and local government: journalism, politics and symbolic power

This essay explores why the relationship between news media and local government has been of little interest in journalism studies, especially in the Australian context. We argue that the reasons are complex but can be traced to issues of symbolic recognition and legitimacy. An overview of local government and news media in Australia and Aotearoa/New Zealand grounds the discussion in journalism and democratic theory. We draw on Bourdieu’s tradition of field-based research and theories of media power to highlight the important role 19th-century newspapers played in the establishment of municipalities. We then argue that local government’s omission from the Australian Constitution relates to issues of legitimacy and recognition that are reflected in the wider field of power and perpetuated within journalism practice and scholarship. Finally, practitioner perspectives and contemporary research underline the need for critical engagement and inquiry that recognise the fundamental importance of news and politics closest to the people.

Effects of alcohol intoxication and encoding conditions on eyewitness memory

Several researchers have investigated the effects of alcohol on memory. Few researchers have studied the effects of alcohol on an eyewitness's recall and recognition of crime events. This study proposed to examine the effects of alcohol and viewing conditions on subjects' ability to recall information regarding a videotaped bank robbery. Thirty male and 22 female subjects participated in a 2 (consumption: alcohol v. no alcohol) x 2 (lighting: good v. poor) factorial experiment with Average Accuracy and Total Amount of Information recalled as the primary dependent measures. There was no significant difference between the Intoxicated and Sober subjects regarding the amount of information recalled or their average accuracy. The main effect for lighting conditions and gender differences were also not significant.

Exploring Hidden Coherent Feature Groups and Temporal Semantics for Multimedia Big Data Analysis

Thanks to the advanced technologies and social networks that allow the data to be widely shared among the Internet, there is an explosion of pervasive multimedia data, generating high demands of multimedia services and applications in various areas for people to easily access and manage multimedia data. Towards such demands, multimedia big data analysis has become an emerging hot topic in both industry and academia, which ranges from basic infrastructure, management, search, and mining to security, privacy, and applications. Within the scope of this dissertation, a multimedia big data analysis framework is proposed for semantic information management and retrieval with a focus on rare event detection in videos. The proposed framework is able to explore hidden semantic feature groups in multimedia data and incorporate temporal semantics, especially for video event detection. First, a hierarchical semantic data representation is presented to alleviate the semantic gap issue, and the Hidden Coherent Feature Group (HCFG) analysis method is proposed to capture the correlation between features and separate the original feature set into semantic groups, seamlessly integrating multimedia data in multiple modalities. Next, an Importance Factor based Temporal Multiple Correspondence Analysis (i.e., IF-TMCA) approach is presented for effective event detection. Specifically, the HCFG algorithm is integrated with the Hierarchical Information Gain Analysis (HIGA) method to generate the Importance Factor (IF) for producing the initial detection results. Then, the TMCA algorithm is proposed to efficiently incorporate temporal semantics for re-ranking and improving the final performance. At last, a sampling-based ensemble learning mechanism is applied to further accommodate the imbalanced datasets. In addition to the multimedia semantic representation and class imbalance problems, lack of organization is another critical issue for multimedia big data analysis. In this framework, an affinity propagation-based summarization method is also proposed to transform the unorganized data into a better structure with clean and well-organized information. The whole framework has been thoroughly evaluated across multiple domains, such as soccer goal event detection and disaster information management.

What next for unions in Central and Eastern Europe? Invisibility, departure and the transformation of industrial relations

This article examines union revitalization in Central and Eastern Europe, focusing on two countries: Hungary and Latvia. Trade unions have not only had to cope with a declining membership base, but have also had to respond to austerity programmes and government cuts in public sector employment. We argue that the inability of unions to provide a strong voice for alternative policies to the current neoliberal orthodoxy has been driven by a declining membership base, but also by weakened social dialogue mechanisms, limited industrial representation and an ageing membership profile, exacerbated by net outward migration in recent years. However, we find that unions in Latvia and Hungary have responded differently to these issues.

Human resources management, citizenship behavior, and turnover intention in the portuguese public administration

Framed by a social exchange perspective, this study address the issue of whether positive employees’ perceptions about human resource management practices influence positive attitudes and behaviour. We hypothesize that human resource management practices (HRMP) have a significant negative effect on intention to voluntary leave the organization and a positive effect on organizational citizenship behaviour (OCB), and that OCB could mediate the relationship between HRMP and turnover intention. A sample of 165 employees from the Portuguese public administration participated in the study. Data was analysed through descriptive statistics, confirmatory factor analysis and hypotheses were tested using single and multiple linear regressions. Results indicate that HRMP is positively associated with OCB, but only internal communication practice is highly valued by Portuguese public employees and successfully predicts OCB. HRMP also show a positive association with turnover intention but only celebration and recognition practices are predictors of turnover intention. Contrary to our hypothesis OCB did not acted as mediator between HRMP and turnover intention. Some suggestions on managerial human resource practices were proposed as well as some main questions raised in the Portuguese public administration context.

Bringing forward semantic relations: Issues and proposals

Semantic relations are an important element in the construction of ontologies and models of problem domains. Nevertheless, they remain fuzzy or under-specified. This is a pervasive problem in software engineering and artificial intelligence. Thus, we find semantic links that can have multiple interpretations in wide-coverage ontologies, semantic data models with abstractions that are not enough to capture the relation richness of problem domains, and improperly structured taxonomies. However, if relations are provided with precise semantics, some of these problems can be avoided, and meaningful operations can be performed on them. In this paper we present some insightful issues about the modeling, representation and usage of relations including the available taxonomy structuring methodologies as well as the initiatives aiming to provide relations with precise semantics. Moreover, we explain and propose the control of relations as a key issue for the coherent construction of ontologies.