Desenvolvimento territorial e a política nacional de água em Moçambique: o caso do distrito de Chibuto

The development has been a phenomenon in constant discussion today, whose fundamental importance should be to promote the welfare of humanity. Thus, the development becomes an element that adds political, economic, social and environmental values . In Mozambique the development model adopted by the State prioritizes the economic dimension, in this case favoring the growth of capitalist structure production. Thus , the basic conditions for human survival still leaves much to be desired and the Mozambican population in general and the district of Chibuto , in particular , continue to face several difficulties to have access to such conditions, and the lack of potable water is a that most of the problems afflicting this population . The water was always a factor related to the socio-economic development of the population, where great civilizations and major economic marks were always influenced by water availability, and today this feature is present in all sectors of production. In Mozambique, much effort has been made by the government, national and international organizations to enhance and guarantee the supply of potable and drinking water, and despite all this effort, most of the population does not have access to this precious resource. In this sense, this work presents an analysis of the effects of the National Water Policy in the study area, analyzes the shortage of potable water in the district of Chibuto, discusses the design and development contained in the official discourse of the state and, opposes the idea of human development. For such issues that help to understand the phenomenon under study, such as territory, public policy and criticism of hegemonic conception of development are addressed. To make the desired approach, we performed a characterization of the District of Chibuto, addressing the issue of poverty, with a brief discussion of this concept, from different approaches, and analyze the impact of the PARPA (Action Plan for the Reduction of Absolute Poverty) in fighting poverty in Mozambique, and became a description of the scenario of poverty and vulnerability in Chibuto district with the construction of Territorial Human Development Index. Research also brings up a discussion about territory and technicization which describes the senary of the water supply system in the District and territorial dynamics of Chibuto, from the analysis and description of existing structures and other technical objects that structure the territory under study. Thus, it was found that the development should be summarized in the satisfaction of human needs, and should be the cornerstone of the new type of development that is intended for the purpose of triggering urgently actions to overcome or combat bleak misery suffered by the majority of inhabitants of the District of Chibuto

A política nacional de educação ambiental: limites e desafios para a sua efetivação na Universidade Federal do Rio Grande do Norte

The Environmental Education is a plural and diversified knowledge field, composed by a group of social agents of specific State, government and civil society sectors, with different world views and theoretical matrices that exercised and influenced its genealogy and constitutive dynamic. The Environmental Education – while specific knowledge field – has been produced, systematized and diffused in Brazil in the last decades by official State organisms, through public policies, as well as by social movements of popular education, and constitutes a large and historical movement about the environmental question, that was worldwide projected in the 1960 decade (the environmentalist movement). Concerning the creation of public policies and specific programs to the Environmental Education, in the scope of the governmental initiative, the approval of the National Policy of Environmental Education, by means of the Law n. 9.795/99 – together with its regulatory decree, the Decree nº 4.281 – represents the consolidation of a inclusion process of the environmental dimension in the educational field. These normative acts, beyond charging the public power with the incumbency to define public policies that incorporate the environmental dimension and to promote the Environmental Education in all education levels, also charge the educational institution with the duty of promoting this component in an integrated and articulated way with the educational programs that such institutions develop. In this context, it is aimed to identify and analyze under the light of the dialectical and historical materialism, the practices and concepts developed under the Federal University of Rio Grande do Norte (UFRN), with regard to its institutional policy on Environmental Education, relating it to establishing the Pnea. The analysis by means specific legislation on the subject and institutional documents UFRN. The research showed that, in general, the National Environmental Education Policy has limits to its effectiveness given the absence of specific funding for this purpose and the little government involvement in that the Brazilian State assumes, by through effective policies, the material conditions of financing actions with respect to this field of education. The fragmented and disjointed way the analyzed actions are developed constitutes a limit to the challenge for the UFRN implement, consistently and objectively, an Environmental Education policy, which can be monitored and evaluated as an effective public policy, both landmarks major goal of own Pnea as the demands of development whose agenda a critical environmental perspective.

Plano amostral, ponderação e efeitos do delineamento da Pesquisa Nacional de Saúde Bucal

OBJETIVO: Estimar la prevalencia y la extensión de la caries radicular en la población adulta y anciana de Brasil. MÉTODOS: A partir de los datos de la Investigación Nacional de Salud Bucal (SBBrasil 2010) se examinaron 9.564 adultos y 7.509 ancianos en domicilios de las 26 capitales y en el Distrito Federal y de 150 municipios del interior de cada macro región. Se implementaron criterios de diagnóstico establecidos por la Organización Mundial de la Salud. Para estudio de la prevalencia y de extensión se utilizó el índice de caries radicular y el índice de raíces cariadas y obturadas. RESULTADOS: La prevalencia de caries radicular fue de 16,7% en los adultos y 13,6% en los ancianos; el índice de raíces cariadas y obturadas fue de 0,42 y 0,32 respectivamente, siendo la mayor parte compuesta por caries no tratadas. Se observaron diferencias en la experiencia de caries radicular entre capitales y macro regiones, con valores mayores en capitales del Norte y Noreste. El índice de caries radicular en los adultos varió de 1,4% en Aracaju (SE) a 15,1% en Salvador (BA) y en los ancianos de 3,5% en Porto Velho (RO) a 29,9% en Palmas (TO). Se verificó incremento de caries radicular con la edad y mayor expresividad de la enfermedad en hombres de ambos grupos etarios. CONCLUSIONES: Se identificó una gran variación de la prevalencia y extensión de la caries radicular entre y dentro de las regiones de Brasil, tanto en adultos como en ancianos, y la mayor parte de la caries radicular se encuentra no tratada. Se recomienda la incorporación de este agravio al sistema de vigilancia en salud bucal, debido a su tendencia creciente.

Previsão do índice bovespa por meio de redes neurais artificiais: uma análise comparada aos métodos tradicionais de séries de tempo

Forecast is the basis for making strategic, tactical and operational business decisions. In financial economics, several techniques have been used to predict the behavior of assets over the past decades.Thus, there are several methods to assist in the task of time series forecasting, however, conventional modeling techniques such as statistical models and those based on theoretical mathematical models have produced unsatisfactory predictions, increasing the number of studies in more advanced methods of prediction. Among these, the Artificial Neural Networks (ANN) are a relatively new and promising method for predicting business that shows a technique that has caused much interest in the financial environment and has been used successfully in a wide variety of financial modeling systems applications, in many cases proving its superiority over the statistical models ARIMA-GARCH. In this context, this study aimed to examine whether the ANNs are a more appropriate method for predicting the behavior of Indices in Capital Markets than the traditional methods of time series analysis. For this purpose we developed an quantitative study, from financial economic indices, and developed two models of RNA-type feedfoward supervised learning, whose structures consisted of 20 data in the input layer, 90 neurons in one hidden layer and one given as the output layer (Ibovespa). These models used backpropagation, an input activation function based on the tangent sigmoid and a linear output function. Since the aim of analyzing the adherence of the Method of Artificial Neural Networks to carry out predictions of the Ibovespa, we chose to perform this analysis by comparing results between this and Time Series Predictive Model GARCH, developing a GARCH model (1.1).Once applied both methods (ANN and GARCH) we conducted the results' analysis by comparing the results of the forecast with the historical data and by studying the forecast errors by the MSE, RMSE, MAE, Standard Deviation, the Theil's U and forecasting encompassing tests. It was found that the models developed by means of ANNs had lower MSE, RMSE and MAE than the GARCH (1,1) model and Theil U test indicated that the three models have smaller errors than those of a naïve forecast. Although the ANN based on returns have lower precision indicator values than those of ANN based on prices, the forecast encompassing test rejected the hypothesis that this model is better than that, indicating that the ANN models have a similar level of accuracy . It was concluded that for the data series studied the ANN models show a more appropriate Ibovespa forecasting than the traditional models of time series, represented by the GARCH model