3 resultados para infraestrutura física

em Universidade Federal do Rio Grande do Norte(UFRN)


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The starting point of the present work consisted of investigating the development of biotechnology in the Northeast region of Brazil from the perspective of a Regional Innovation System (RIS). The theoretical framework adopted relied on the approaches and concepts presented by the Neo-Schumpeterian perspective. This framework was chosen because, by means of the Innovation System concept, this literature allows us to analyze the relationships and configurations of actors, as well as the role of the state and of social, science and technology, and economic policies in the studied region. The analysis considered four selected dimensions: physical infrastructure, human capital, scientific production, and funding. These variables were chosen because they allow us to verify the possibilities and limitations of developing a biotechnology RIS in the Northeast of Brazil, and these elements would help in answering the question behind this dissertation. The location of the physical infrastructure was determined by means of bibliographic and documental research and interviews with heads of institutions that do biotechnology research. Regarding human capital, the analysis focused on resource training in biotechnology, highlighting graduate courses and research groups in the area. To measure knowledge production, we delimited scientific collaboration among researchers in the field of biotechnology as the focus of this category. For the funding dimension, information was gathered from reports available at the websites of national and state funding agencies. The data was analyzed through method triangulation, involving quantitative and qualitative research stages. To back the analyses, we revisited the integration policies in the area of Science, Technology and Innovation. Our analysis has shown that these policies play a crucial role in the development of biotechnology in the region being studied. The data revealed that the physical infrastructure is concentrated in only three states (Bahia, Ceará, and Pernambuco). In this regard, the Northeast Biotechnology Network (Renorbio) stands out as a strategic actor, enabling states with poor infrastructure to develop research through partnerships with institutions located in another state. We have also verified that the practices involving human resource training and knowledge production are factors that enable the emergence of a regional system for biotechnology in the studied region. As limitations, we have verified the low immersion level of regional actors, the heterogeneity of socioeconomic indicators, the lack of financial resources, and a low innovation culture in the business sector. Overall, we have concluded that the development of a Regional Innovation System in Biotechnology, based on the current regional dynamics, depends on an effective change in the behavior of the social agents involved, both in the national and regional dimensions as well as in the public and private spheres

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This research aimed to evaluate the Family Health Strategy (FHS) in Natal, Rio Grande do Norte, through its managers, professionals and users, having as its support the Theory of Belief and the Cognitive-Behavioral Theory. This is a multimethod research and is divided into three sub-studies. In the first study, nine managers answered to a semi-structured interview, to verify the knowledge and beliefs on SUS; the quantitative data were analyzed with descriptive statistics with the aid of SPSS software and the qualitative data were submitted to lexical analysis with support of ALCESTE software. In the second study, we have a descriptive correlational research in which the antecedent variables are related to working conditions in the family health units (FHUs) and to the professionals‟ profile; the corresponding variables refer to the evaluations of the FHS; a stratified probabilistic sample with 475 professionals, who answered to two scales, both consisting of three factors: Physical infrastructure, Material resources, and Treatment effectiveness, and data were analyzed using descriptive, bivariate and multivariate statistics, with the aid of SPSS. The third study is a descriptive correlational research in which the antecedent variables refer to the treatment in the FHUs and to the users‟ profile, and the corresponding variables refer to the evaluations of the FHS, with a stratified non-probabilistic sample with 390 users, who contributed to the construction of a new scale with a factor, effectiveness in treatment, analyzed through descriptive, bivariate and multivariate statistics, with the aid of SPSS. The results showed problems which start from management, under the shape of admission due to political indication and lack of knowledge on SUS and the FHS; they pass through the low tenure of professionals and insufficient professional; and they end up spreading all over the analyzed items: infrastructure of FHUs, material resources, professionals‟ training, accessibility and referral system. One concludes that, despite following an ideal model, the FHS is in need of changes with regard to the barriers to its operational reality

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The starting point of the present work consisted of investigating the development of biotechnology in the Northeast region of Brazil from the perspective of a Regional Innovation System (RIS). The theoretical framework adopted relied on the approaches and concepts presented by the Neo-Schumpeterian perspective. This framework was chosen because, by means of the Innovation System concept, this literature allows us to analyze the relationships and configurations of actors, as well as the role of the state and of social, science and technology, and economic policies in the studied region. The analysis considered four selected dimensions: physical infrastructure, human capital, scientific production, and funding. These variables were chosen because they allow us to verify the possibilities and limitations of developing a biotechnology RIS in the Northeast of Brazil, and these elements would help in answering the question behind this dissertation. The location of the physical infrastructure was determined by means of bibliographic and documental research and interviews with heads of institutions that do biotechnology research. Regarding human capital, the analysis focused on resource training in biotechnology, highlighting graduate courses and research groups in the area. To measure knowledge production, we delimited scientific collaboration among researchers in the field of biotechnology as the focus of this category. For the funding dimension, information was gathered from reports available at the websites of national and state funding agencies. The data was analyzed through method triangulation, involving quantitative and qualitative research stages. To back the analyses, we revisited the integration policies in the area of Science, Technology and Innovation. Our analysis has shown that these policies play a crucial role in the development of biotechnology in the region being studied. The data revealed that the physical infrastructure is concentrated in only three states (Bahia, Ceará, and Pernambuco). In this regard, the Northeast Biotechnology Network (Renorbio) stands out as a strategic actor, enabling states with poor infrastructure to develop research through partnerships with institutions located in another state. We have also verified that the practices involving human resource training and knowledge production are factors that enable the emergence of a regional system for biotechnology in the studied region. As limitations, we have verified the low immersion level of regional actors, the heterogeneity of socioeconomic indicators, the lack of financial resources, and a low innovation culture in the business sector. Overall, we have concluded that the development of a Regional Innovation System in Biotechnology, based on the current regional dynamics, depends on an effective change in the behavior of the social agents involved, both in the national and regional dimensions as well as in the public and private spheres