Tragedy on grade crossing: driver failure or systemic fragility?

In 2010, an accident occurred in Americana-SP, Brazil, involving two trains and one bus on a Grade Crossing, when 10 people died and 17 were injured including workers. This paper aims to analyze the accident using the Model of Analysis and Prevention of Work Accidents (MAPA). The method provides observation of work, interviews and analysis of documents to understand precedents of the event in the following stages: to understand the usual work from the involved people, the changes occurred in the system, the operation of barriers, managerial and organizational aspects. By the end, measures are suggested to avoid new occurrences. The accident took place at night in a site with insufficient lighting. The working conditions of bus drivers, train operators and watchmen are inadequate. There were only symbolic barriers (visual and acoustic signals) triggered manually by watchman upon train operator radio communication. The fragility of the barrier system associated to poor lighting and short time to trigger the signaling seem to play a critical role in the event. Contrary to the official report which resulted in guilt of the bus driver, the conclusion of the paper emphasizes the fragility of the safety system and the need of level crossing reproject.     

Public Green Space Use and Consequences on Urban Vitality: An Assessment of European Cities

The promotion of quality of life is becoming ever more important in a scenario of regional, national and even international competition among cities, triggered by globalization. Public sites, and green spaces in particular, which are available in varying extent in all urban areas, can bring important benefits to urban vitality and, as a consequence, to quality of life. However, cities are intricate entities and measuring their success in converting the potential for public green space usage into increased quality of life is a difficult task. In order to contribute to the objective of assessing the potential for public green space use, and its consequences on urban vitality, we applied the Data Envelopment Analysis technique to assess a total of 174 European cities. The results detect the best performing cities, and for the cities considered inefficient, a set of benchmarks is identified, whose best practices can be copied to support efforts of performance improvement.     

Black Immigrants in Portugal: Luso–Tropicalism and Prejudice

This article analyzes the relationship between the luso–tropicalist representation of the history of Portuguese colonization and overt as well as covert expressions of anti-immigrant prejudice. The luso–tropicalist representation emphasizes the uniqueness of the Portuguese colonial relations based on Portuguese empathy and capacity to deal with people from different cultures. This representation was created during Salazar's dictatorial regime and is still assumed to be a dimension of Portuguese national identity. The empirical findings presented in this article show that this luso–tropicalist representation may explain the salience of the norm against prejudice in Portugal and may contribute to weaken the traditional association between national identity and overt prejudice. A second dimension of the association between luso–tropicalism and integration of Black immigrants in Portuguese society was examined, that is, the impact of luso–tropicalism on the attribution and covert evaluation of cultural differences between White Portuguese and Black immigrants. Results show that despite the luso–tropicalist representation, White Portuguese individuals express a covert negative evaluation of cultural differences attributed to Black immigrants. This means that the luso–tropicalist representation can protect against the expression of overt prejudice but not against its covert dimensions.     

Evaluation of a Physical Activity Program for Pathological Gamblers in Treatment

It has been demonstrated that craving for gambling is associated with anxiety and depression in pathological gamblers. Exercise has been shown to reduce anxiety and depression, as well as positively influence abstinence rates in individuals with substance use disorders. In this study, we examined the impact of a physical activity program in 33 pathological gamblers. We also analyzed the association between craving and plasmatic levels of stress hormones (adrenocorticotropic hormone, cortisol, and prolactin). The program involved eight 50-min sessions. Craving was assessed 24 h before, immediately before, and immediately after each session, as well as on a weekly basis. Before and after the program, we evaluated gambling behavior, depressive symptoms, anxiety, and plasma levels of stress hormones. We identified a significant reduction in craving following each session and at the end of the program. There was improvement in anxiety, depressive symptoms, and gambling behavior. The post-session reduction in craving was accompanied by post-program reductions in craving and anxiety but not by a post-program reduction in depressive symptoms. The craving reduction was associated with a variation in prolactin levels but not with variations in levels of cortisol or adrenocorticotropic hormone.     

Copula, marginal distributions and model selection: a Bayesian note

Copula functions and marginal distributions are combined to produce multivariate distributions. We show advantages of estimating all parameters of these models using the Bayesian approach, which can be done with standard Markov chain Monte Carlo algorithms. Deviance-based model selection criteria are also discussed when applied to copula models since they are invariant under monotone increasing transformations of the marginals. We focus on the deviance information criterion. The joint estimation takes into account all dependence structure of the parameters’ posterior distributions in our chosen model selection criteria. Two Monte Carlo studies are conducted to show that model identification improves when the model parameters are jointly estimated. We study the Bayesian estimation of all unknown quantities at once considering bivariate copula functions and three known marginal distributions.     

MCMC Bayesian Estimation in FIEGARCH Models

Bayesian inference for fractionally integrated exponential generalized autoregressive conditional heteroscedastic (FIEGARCH) models using Markov chain Monte Carlo (MCMC) methods is described. A simulation study is presented to assess the performance of the procedure, under the presence of long-memory in the volatility. Samples from FIEGARCH processes are obtained upon considering the generalized error distribution (GED) for the innovation process. Different values for the tail-thickness parameter ν are considered covering both scenarios, innovation processes with lighter (ν > 2) and heavier (ν < 2) tails than the Gaussian distribution (ν = 2). A comparison between the performance of quasi-maximum likelihood (QML) and MCMC procedures is also discussed. An application of the MCMC procedure to estimate the parameters of a FIEGARCH model for the daily log-returns of the S&P500 U.S. stock market index is provided.     

Critical success factors and green supply chain management proactivity: shedding light on the human aspects of this relationship based on cases from the Brazilian industry

Abstract

By applying the resources-based view (RBV) theory to green management, this study aims to analyse the relationship between critical success factors (CSFs) and the adoption of green supply chain management (GSCM) practices for some Brazil-based manufacturers of automotive batteries considered focal in their supply chains. It also analyses how human issues, known as green human resource management (GHRM) aspects, can help to increase the effectiveness of CSFs for GSCM strategies that are still not totally well-managed, justifying a RBV perspective. This research assumes that firms tend to be in different stages of GSCM development (more strategic or less strategic) and tests four research propositions to determine whether more proactive GSCM is related to higher levels of effectively managed CSFs. Three focal companies that operate in the Brazilian automotive battery industry were studied. Research results suggest that more proactive GSCM practices correlate to more effectively managed CSFs and to a greater support from GHRM. We argue that managers with a clear GHRM strategy will have more success in GSCM adoption, using more green training, green recruitment and selection, green performance evaluation and employee rewards.     

Ergonomic constraints among nursing workers in the sectors of emergency care in two public hospitals in Brazil

The goal of this study was to comprehensively identify ergonomic constraints among nursing workers in two public hospitals in Brazil. We used a qualitative research design and conducted interviews, field observation and performed a subjective questionnaire with nurses of emergency care sectors. The Cronbach α technique was used to determine the internal consistency of the questionnaire. Based on this qualitative study, we identified some ergonomic constraints related to work environment, biomechanics/anthropometrics, work organization and work station (hospital direction).     

Bayesian generalizations of the integer-valued autoregressive model

We develop two Bayesian generalizations of the Poisson integer-valued autoregressive model. The AdINAR(1) model accounts for overdispersed data by means of an innovation process whose marginal distributions are finite mixtures, while the DP-INAR(1) model is a hierarchical extension involving a Dirichlet process, which is capable of modeling a latent pattern of heterogeneity in the distribution of the innovations rates. The probabilistic forecasting capabilities of both models are put to test in the analysis of crime data in Pittsburgh, with favorable results.     

Oral,systemic and socioeconomic factors associated with preterm birth

Background

The rates of preterm births have been increasing worldwide. Complications related to preterm births are associated with increased costs of care, and have a direct impact on the health system of the countries. Therefore, it is important to address factors associated with preterm birth in order to provide prevention strategies.