The use software ERGOSHOW in the education of health and safety at work to regardin the safety to children

It is believed that health and safety of workers should be worked with children and early teenagers, the perspective that adults are more aware of these issues by providing them with health and quality of life in their daily lives, this is want the ERGOSHOW. The choice of media means for transmitting content of Ergonomics, Health and Safety (OSH) is justified because of the great popularity of computer games are among the public of the study, thereby providing a greater assimilation of the content worked. Therefore, the aim of this study was to work with OSH issues related to children between 08 and 12 years old, city of, State of Minas Gerais, Brazil. To achieve this we used the software ERGOSHOW, quizzes, and lecture. One can see that the use of multimedia tools in the learning, especially when considering the reports of mothers according to the different behavior of children after the development of activities, such as parents in correcting posture in relation to computer use.     

Selection of a voice for a speech signal for personalized warnings: the effect of speaker's gender and voice pitch

There is an increasing interest in multimodal technology-based warnings, namely those conveying speech-warning statements. This type of warning may be tailored to the situation as well as to the target user's characteristics. However, more information is needed on how to design these warnings in a way that ensures intelligibility, promotes compliance and reduces the potential for annoyance. In this context, this paper reports an exploratory study whose main purpose was to assist the selection of a synthesized voice for a subsequent compliance study with personalized (i.e., using the person's name) technology-based warnings using Virtual Reality. Participants were requested to listen to speech signals, gathered from a speech synthesizer and post-processed in order to change the pitch perception, and then these were evaluated by fulfilling the MOS-X questionnaire. After that, the participants ranked the voices according to their preference. The effects of the speaker's gender and voice pitch, on both ratings and ranking were assessed. The preference of the male and female listeners for a talker's voice gender was also investigated. The results show that participants mostly prefer as first choice the high-pitched female voice, which also gathered the highest overall score in the MOS-X questionnaire. No significant influence of the participants' gender was found on the assessed measures.     

Efficiency of personal protective equipment used in agriculture

Despite the practical importance of Personal Protective Equipment (PPE), both in production and in consumption, it is observed a main problem regarding the quality of many PPE?s used in Brazil. This study found a gap between the state of the art and the state of prevailing practices in the design of PPE?s, which main consequences affect the health of workers who use PPE in agriculture activities. The results of this study identified legal constraints of this occurrence, involving the validation of PPE designed for isolate agents, without the analysis of relevant activities and without prototypes experiments in more frequent use situation.     

Housing Valuation,Wealth Perception,and Homeowners’ Portfolio Composition

This study explores the link between wealth perception from an appreciation of the residential property price and homeowners’ preference toward asset categories pooled by risk. Household survey data for Portugal were used to build shares of low, medium, and high risk assets representing fractions of household’s total wealth. Data showed incomplete household portfolios along with housing capturing the largest share of households’ wealth, in line with the literature on composition puzzles. The findings indicate robust empirical evidence that the rate of housing valuation is an indicator of households’ wealth perception. When the housing price appreciates with respect to its initial cost, households suffer an endowment effect and tend to increase diversity in their portfolio, expanding the holdings of safe deposits as they raise the share of high risk assets.     

Women and poverty: A gender-sensitive approach

Poverty is not a gender neutral condition as the number of poor women exceeds that concerning men and women and men experience poverty in distinctive ways. This paper discusses the relevance of incorporating a gender perspective in poverty studies and provides a portrait of poverty among women in Portugal. Following a multidimensional concept of poverty, the methodology used comprises a cross-sectional and a dynamic analysis of poverty, using data from ECHP (1995–2001). The results point to the importance of various factors contributing to women's vulnerability to poverty, such as issues related to labor market, lone motherhood, ageing and education.     

Non-nested hypothesis testing inference for GAMLSS models

Two or more regression models are said to be non-nested if neither can be obtained from the remaining models when parametric restrictions are imposed. Tests for choosing between linear non-nested regression models are found in literature, such as J and MJ tests. In this paper we propose variants of these two tests for the GAMLSS (Generalized Additive Models for Location, Scale and Shape) class of models. We report Monte Carlo evidence on finite sample behaviour of the proposed tests. Bootstrap-based testing inference is also considered. Overall, bootstrap MJ test had the best performance. An empirical application is presented and discussed.     

Simulation-based model comparison methodology with application to road accident models

This article assumes the goal of proposing a simulation-based theoretical model comparison methodology with application to two time series road accident models. The model comparison exercise helps to quantify the main differences and similarities between the two models and comprises of three main stages: (1) simulation of time series through a true model with predefined properties; (2) estimation of the alternative model using the simulated data; (3) sensitivity analysis to quantify the effect of changes in the true model parameters on alternative model parameter estimates through analysis of variance, ANOVA. The proposed methodology is applied to two time series road accident models: UCM (unobserved components model) and DRAG (Demand for Road Use, Accidents and their Severity). Assuming that the real data-generating process is the UCM, new datasets approximating the road accident data are generated, and DRAG models are estimated using the simulated data. Since these two methodologies are usually assumed to be equivalent, in a sense that both models accurately capture the true effects of the regressors, we are specifically addressing the modeling of the stochastic trend, through the alternative model. Stochastic trend is the time-varying component and is one of the crucial factors in time series road accident data. Theoretically, it can be easily modeled through UCM, given its modeling properties. However, properly capturing the effect of a non-stationary component such as stochastic trend in a stationary explanatory model such as DRAG is challenging. After obtaining the parameter estimates of the alternative model (DRAG), the estimates of both true and alternative models are compared and the differences are quantified through experimental design and ANOVA techniques. It is observed that the effects of the explanatory variables used in the UCM simulation are only partially captured by the respective DRAG coefficients. This a priori, could be due to multicollinearity but the results of both simulation of UCM data and estimating of DRAG models reveal that there is no significant static correlation among regressors. Moreover, in fact, using ANOVA, it is determined that this regression coefficient estimation bias is caused by the presence of the stochastic trend present in the simulated data. Thus, the results of the methodological development suggest that the stochastic component present in the data should be treated accordingly through a preliminary, exploratory data analysis.     

Challenging the neoliberal view of education: the Center for Ecoliteracy as a transformative educational practice

The neoliberal rationality of recent decades has, as one of its maxims, that of extending market logic to the rest of social dimensions on the basis of competition. However, the spreading of this neoliberal ‘drug’ requires profound political reforms. It calls for a cultural engineering of the public sector which has been fostered by the New Public Management (NPM). This form of governmentality controls current power relations and gives a new meaning to the management of public services, including the educational sector. In this paper, we maintain that there are ‘spaces of resistance’ against the neoliberal educational rationality. We analyse the Center for Ecoliteracy (CFE) as a transformative experience which integrates a holistic perspective into educational practice. We compare the principles of the NPM with those of the CFE, showing that there are more humanistic approaches to education which aim to teach students the need to live in sustainable communities.     

The Changing Informal Labour Market in Brazil: Cyclicality versus Excessive Intervention

Although following an anti-cyclical behaviour over the last decade, Brazil's informal sector seems to have grown recently as a response to excessive government intervention in the productive system. Despite high inflation and sluggish economic performance, Brazil continues to live with low unemployment and only sporadic social unrest. A substantial informal sector is thought to be acting as a cushion to help minimize labour market instability. This paper reviews the main concepts and methodologies proposed in the literature, summarizes the results obtained by different authors, and presents some additional information on the recent informalization of the Brazilian labour markets.     

Solving Steiner Tree Problems in Graphs with Lagrangian Relaxation

This paper presents an algorithm to obtain near optimal solutions for the Steiner tree problem in graphs. It is based on a Lagrangian relaxation of a multi-commodity flow formulation of the problem. An extension of the subgradient algorithm, the volume algorithm, has been used to obtain lower bounds and to estimate primal solutions. It was possible to solve several difficult instances from the literature to proven optimality without branching. Computational results are reported for problems drawn from the SteinLib library.