Comparison of Modes of Administration and Response Options in the Assessment of Subjective Health Using the First Question of SF-36

To compare two modes of administration (self-administered; by interviewer) and two response options format (using words; images of “facial-expressions”) of the first question of SF-36 (Q1SF-36), and to test its validity. We included 825 participants (20–90 years). Q1SF-36, using words or images, was included in a global questionnaire interview and at the end participants filled the SF-36. The agreement was tested by weighted kappa coefficients (WKappa). Classification Trees were used in the calibration of Q1SF-36 responses, with the physical (PDSF36) and mental dimensions of SF-36. Polyserial correlation coefficients and areas under the ROC curves (AUC) were used for validation. After categorization, using PDSF36 classification trees, the WKappa were 0.770 (self-administered vs. interviewer), 0.569 (self-administered vs. facial-expressions) and 0.566 (interviewer vs. facial-expressions). The WKappa between the PDSF36 and the modes (self-administered, interviewer and facial-expressions) were 0.784, 0.713 and 0.579 and the corresponding polyserial correlation coefficients were 0.784, 0.713 and 0.579. A good discriminatory power was found comparing the modes with the PDSF36 (AUC = 0.907, 0.923 and 0.827), but not with mental dimension (AUC = 0.538, 0.501 and 0.629). The Q1SF-36, by self-administration or interviewer, may be a valid alternative for assessment of subjective physical health, but not mental health.     

Bats in urban areas of Brazil: roosts,food resources and parasites in disturbed environments

Urbanization is a widespread intense land use that generally results in biodiversity decline. Among the taxa capable to adapt to urban landscapes, bats are particularly ubiquitous. Brazil has one of the world’s largest diversity of bat species and one of the highest urbanization rates of the world. Yet, few studies have synthesized the biology of bats in urban environments, especially in Brazil. To fill this gap, we systematically reviewed the published scientific literature on the bat fauna found in urban areas of Brazil. The knowledge of urban bats is still incipient and heterogeneously spatially distributed, mostly concentrated in the southeastern region of the country. The assembled list of 84 urban species, of which nineteen are new species records for urban areas (including one new family), represents 47% of the bat richness registered in the country. Thirty-one bat species (37%) were captured exclusively inside forest fragments. Moreover, we provide information on the resources used within the urban matrix by summarizing the roosting sites for 38 bat species, as well as 31 plants consumed by at least twelve bat species. Regarding parasitological aspects, we listed eleven zoonotic parasites hosted by 27 bat species and discussed their potential to become a public health threat. Likewise, we considered the different features linked to urbanization, including impacts on immunity, body condition and susceptibility to acquiring parasites, as possible bat conservation issues. Finally, we defined an agenda for bat studies in urban areas of Brazil.     

Copulas related to piecewise monotone functions of the interval and associated processes

In this work, we derive the copulas related to vectors obtained from the so-called chaotic stochastic processes. These are defined by the iteration of certain piecewise monotone functions of the interval [0, 1] to some initial random variable. We study some of its properties and present some examples. Since often these types of copulas do not have closed formulas, we provide a general approximation method which converges uniformly to the true copula. Our results cover a wide class of processes, including the so-called Manneville–Pomeau processes. The general theory is applied to the parametric estimation in certain chaotic processes. A Monte Carlo simulation study is also presented.     

Ports modernization and its influence on trade unions

The restructuring of production resulting from the Port Modernization Law (Law 8.630/90) caused significant changes in work organization of Brazilian Ports. In the case of Mucuripe (Fortaleza, Ceará), in particular, the changes were very intense as Mucuripe is an old port that, before the Law, had labor regulation being governed by Trade Unions. This paper aims to present the perceptions of Union Representatives on the changes brought about by the Law on work organization in the port of Fortaleza, its influence in the organization and in the way the Unions deal with this new reality. Open and exploratory interviews were conducted with representatives of occasional labor workers registered in the Port of Fortaleza OGMO (Org?o Gestor de M?o de Obra, Labor Regulation Management). The analysis of the collected material in the interviews was based on the technique of content analysis proposed by Bardin (1979). Trade Unions have undergone a great loss of power and it has reflected in a relative inability to perform its function and to fight for the rights of the workers. The obvious Trade Unions weakness - a reduction of strikes and less unionized workers - reflects the dominating ideology of capital.     

Portuguese Scientists’ Migration: a study on the 2008 crisis aftermath

In the economic and social aftermath of the 2008 crisis there has been an important and growing new wave of highly qualified Portuguese emigration comprising scientists. No or very few public policies have been designed to reverse this phenomenon, risking the consequences of brain drain. International literature argues that professional reasons are central to scientists’ decision to migrate, even after the 2008 crisis. Spending some time in a foreign country to study, research, or teach, is perceived as a common step in an individual academic trajectory and an advantage for a successful professional career in academia. It is also encouraged by European Union policies. Twelve individual portraits of Portuguese scientists living in central Europe reveal how important other factors are to the migration decision‐making process. These factors include the economic crisis, student mobility programmes, and the current Portuguese scientific system revision.     

Sequential parameter learning and filtering in structured autoregressive state-space models

We present particle-based algorithms for sequential filtering and parameter learning in state-space autoregressive (AR) models with structured priors. Non-conjugate priors are specified on the AR coefficients at the system level by imposing uniform or truncated normal priors on the moduli and wavelengths of the reciprocal roots of the AR characteristic polynomial. Sequential Monte Carlo algorithms are considered and implemented for on-line filtering and parameter learning within this modeling framework. More specifically, three SMC approaches are considered and compared by applying them to data simulated from different state-space AR models. An analysis of a human electroencephalogram signal is also presented to illustrate the use of the structured state-space AR models in describing biomedical signals.     

A semiparametric Bayesian approach to extreme value estimation

This paper is concerned with extreme value density estimation. The generalized Pareto distribution (GPD) beyond a given threshold is combined with a nonparametric estimation approach below the threshold. This semiparametric setup is shown to generalize a few existing approaches and enables density estimation over the complete sample space. Estimation is performed via the Bayesian paradigm, which helps identify model components. Estimation of all model parameters, including the threshold and higher quantiles, and prediction for future observations is provided. Simulation studies suggest a few useful guidelines to evaluate the relevance of the proposed procedures. They also provide empirical evidence about the improvement of the proposed methodology over existing approaches. Models are then applied to environmental data sets. The paper is concluded with a few directions for future work.     

Explanatory Matrices on the Causes of a Tailing Dam Collapse in Brazil: The (Dis)Articulation of Epistemes

Mining tailing dam ruptures are increasingly common events in South America. Due to their high potential degree for avoidance, they are considered to be technological disasters and often have a considerable impact on local populations and communities, as well as affecting the ecosystem. The failure of the Fundão dam in 2015 in the Brazilian State of Minas Gerais (is) considered one of the largest socioenvironmental disasters in the country's history. Different explanations for the causes of the disaster were put forward by various social actors. This article critically analyzes these discourses through the theoretical-methodological reference of the social theory of discourse, with the aim of understanding the various discursive contexts of the causes of the breach of the dam. The analysis and understanding of these explanatory matrices suggested that different discourses present different epistemological approaches to the causes of the disaster, related to aspects such as sociohistorical, political, ideological, and asymmetric relations of power. The statements had different emphases, being associated with distinct epistemic positions that were often not in convergence.  Moreover, certain terms and approaches reinforce or minimize processes of vulnerability experienced by the affected populations. These discourses present consents, dissents, and contradictions and when systematically integrated can improve the planning of risk management and broaden the understanding related to technological disaster occurrence.