Análise estrutural e avaliação do efeito condroitim sulfato extraído de tilápia (Oreochromis niloticus) em modelo de peritonite aguda

Chondroitin sulfate (CS) is a naturally glycosaminoglycan found in the extracellular matrix of connective tissues and it may be extracted and purified those tissues. CS is involved in various biological functions, which may be related to the having structural variability, despite the simplicity of the linear chain structure from this molecule. Researches in biotechnology and pharmaceutical field with wastes from aquaculture has been developed in Brazil. In recent decades, tilapia (Oreochromis niloticus), native fish from Africa, has been one of the most cultivated species in various regions of the world, including Brazil. The tilapia farming is a cost-effective activity, however, it generates large amount of wastes that are discarded by producers. It is understood that waste from tilapia can be used in research as a source of molecules with important biotechnological applications, which also helps in reducing environmental impacts and promote the development of an ecofriendly activity. Thus, nile tilapia viscera were subjected to proteolysis, then the glycosaminoglycans were complexed with ion exchange resin (Lewatit), it was fractionated with increasing volumes of acetone and purified by ion exchange chromatography DEAE-Sephacel. Further, the fraction was analyzed by agarose gel electrophoresis and nuclear magnetic resonance (NMR). The electrophoretic profile of the compound together the analysis of 1H NMR spectra and the HSQC correlation allow to affirm that the compound corresponds to a molecule like chondroitin sulfate. MTT assay was used to assess cell viability in the presence of CS tilapia isolated and showed that the compound is not cytotoxic to normal cells such as cells from the mouse embryo fibroblast (3T3). Then, this compound was tested for the ability to reduce the influx of leukocytes in model of acute peritonitis (in vivo) induced by sodium thioglycolate. In this context, it was done total and differential leukocytes counting in the blood and peritoneal fluid collected respectively from vena cava and the peritoneal cavity of the animals subjected to the experiment. The chondroitin sulfate for the first time isolated from tilapia (CST ) was able to reduce the migration of leukocytes to the peritoneal cavity of inflamed mice until 80.4 per cent at a dose 10µg/kg. The results also show that there was a significant reduction (p<0.001) of the population of polymorphonuclear leukocytes from peritoneal cavity in the three tested doses (0.1µg/kg; 1µg/kg and 10µg/kg) when it was compared to the positive control (just thioglycolate). Therefore, since the CST structure and mechanism of action has been completely elucidated, this compound may have potential for therapeutic use in inflammatory diseases

Análise cefalométrica: ortodontistas x radiologistas

Cephalometric analysis is the mensuration of linear and angular measures through demarcation points as distances and lines on teleradiography, and is considered of fundamental importance for diagnosis and orthodontic planning. In this manner, the objective of this research was to compare cephalometric measurements obtained by dentists and radiologists from the analysis of the same radiograph, in a computerized cephalometric analysis program. All research participants marked 18 cephalometric points on a 14-inch notebook computer, as directed by the program itself (Radiocef 2®). From there, they generated 14 cephalometric parameters including skeletal, dental-skeletal, dental and soft tissue. In order to verify the intra-examiner agreement, 10 professionals from each group repeated the marking of the points with a minimum interval of eight days between the two markings. The intra-group variability was calculated based on the coefficients of variation (CV). The comparison between groups was performed using the Student t-test for normally distributed variables, and using the Mann-Whitney test for those with non-normal distribution. In the group of orthodontists, the measurements of Pog and 1-NB, SL, S-Ls Line, S-Li Line and 1.NB showed high internal variability. In the group of radiologists, the same occurred with the values of Pog and 1-NB, S-Ls Line, S-Li Line and 1.NA. In the comparison between groups, all the analyzed linear values and two angular values showed statistically significant differences between radiologists and dentists (p <0.05). According to the results, the interexaminer error in cephalometric analysis requires more attention, but does not come from a specific class of specialists, being either dentists or radiologists.

Análise de métodos para detecção de mudanças estruturais em séries temporais climáticas

The time series analysis has played an increasingly important role in weather and climate studies. The success of these studies depends crucially on the knowledge of the quality of climate data such as, for instance, air temperature and rainfall data. For this reason, one of the main challenges for the researchers in this field is to obtain homogeneous series. A time series of climate data is considered homogeneous when the values of the observed data can change only due to climatic factors, i.e., without any interference from external non-climatic factors. Such non-climatic factors may produce undesirable effects in the time series, as unrealistic homogeneity breaks, trends and jumps. In the present work it was investigated climatic time series for the city of Natal, RN, namely air temperature and rainfall time series, for the period spanning from 1961 to 2012. The main purpose was to carry out an analysis in order to check the occurrence of homogeneity breaks or trends in the series under investigation. To this purpose, it was applied some basic statistical procedures, such as normality and independence tests. The occurrence of trends was investigated by linear regression analysis, as well as by the Spearman and Mann-Kendall tests. The homogeneity was investigated by the SNHT, as well as by the Easterling-Peterson and Mann-Whitney-Pettit tests. Analyzes with respect to normality showed divergence in their results. The von Neumann ratio test showed that in the case of the air temperature series the data are not independent and identically distributed (iid), whereas for the rainfall series the data are iid. According to the applied testings, both series display trends. The mean air temperature series displays an increasing trend, whereas the rainfall series shows an decreasing trend. Finally, the homogeneity tests revealed that all series under investigations present inhomogeneities, although they breaks depend on the applied test. In summary, the results showed that the chosen techniques may be applied in order to verify how well the studied time series are characterized. Therefore, these results should be used as a guide for further investigations about the statistical climatology of Natal or even of any other place.

Desempenho físico em idosos com diferenciados perfis epidemiológicos: análise do estudo IMIAS International Mobility in Aging Study sob a perspectiva do curso da vida e de biomarcadores da inflamação e do estresse

O crescimento demográfico de idosos é um fenômeno mundial e exerce influência sobre o desenvolvimento e funcionamento das sociedades. Fatores sociais, econômicos, ambientais, biológicos e culturais influenciam o processo de envelhecimento, que pode vir acompanhado de contínua perda na capacidade de adaptação do indivíduo ao meio ambiente, de maior vulnerabilidade ao estresse, limitações funcionais e diminuição da qualidade de vida do indivíduo. Todavia, ao longo do curso da vida, o indivíduo vivencia múltiplas exposições adversas à saúde, e o declínio da mobilidade surge como um dos primeiros sinais do envelhecimento, repercutindo na saúde física e mental do indivíduo. Para contribuir com o conhecimento sobre os desfechos relacionados ao envelhecimento e mobilidade, o estudo IMIAS investiga idosos em quatro países com diferentes perfis epidemiológicos. O presente estudo abordou os possíveis fatores associados ao declínio físico em idosos de distintas sociedades, sobre a perspectiva epidemiológica do curso da vida e dos biomarcadores da inflamação e do estresse. Objetivos: 1) Analisar as relações entre as adversidades sociais e econômicas, vivenciadas durante a infância, a fase adulta e a velhice, com o baixo desempenho físico em populações idosas, de diferentes contextos sociais, econômicos e culturais. 2) Verificar a associação entre os níveis elevados da proteína c-reativa (PCR) com o desempenho físico em idosos de diferentes populações. 3) Avaliar se a desregulação nos níveis de cortisol diurno exerce influência sobre o desempenho físico em idosos com distintos perfis epidemiológicos. Métodos: Foram utilizados dados da linha de base do IMIAS – Estudo Internacional de Mobilidade no Envelhecimento, composto por 1.995 indivíduos entre 65 e 74 anos de idade, residentes em comunidades de quatro países (Albânia, Brasil, Canadá, Colômbia). O desempenho físico foi avaliado através do Short Physical Performance Battery (SPPB) e da força de preensão manual. As adversidades durante o curso da vida foram estimadas a partir de eventos e exposições sociais, econômicas e culturais ocorridas durante a infância, fase adulta e velhice. Para avaliar o percurso biológico e suas associações com a mobilidade, a proteína c-reativa e o cortisol foram considerados como biomarcadores da inflamação e do estresse, respectivamente. No sentido de responder as questões de investigações, foram conduzidas análises de estatística descritiva, bivariada e multivariada, mediante técnicas de distribuição de frequências, teste qui-quadrado, odds ratio e regressões logística, linear e multinível. Resultados: O desempenho físico foi menor nos participantes que vivem na Colômbia, Brasil e Albânia do que nos que vivem no Canadá, mesmo quando ajustados por idade, sexo e adversidades durante o curso da vida. O baixo nível de desempenho físico (SPPB < 8) foi associado a ter sofrido adversidade social e econômica na infância, ter tido ocupação semiqualificada na fase adulta, morar sozinho e possuir renda insuficiente na velhice. A PCR esteve associada com a baixa força de preensão manual e com o SPPB<8. Entretanto, a associação entre a PCR e a força de preensão manual não se manteve quando ajustada por fatores socioeconômicos e hábitos de saúde. As associações negativas entre SPPB e PCR permaneceram significativas mesmo após ajustes por idade, sexo, escolaridade, local de pesquisa e condições de saúde. O baixo desempenho físico (SPPB ≤ 8) foi associado com uma significativa diminuição nos níveis de cortisol ao acordar, em comparação com os níveis de cortisol de idosos com bom desempenho físico (SPPB > 8), mesmo após modelos controlados por local de estudo, sexo, depressão, hábitos de saúde, uso de psicotrópicos e índice de massa corporal. Conclusões: Os resultados evidenciaram associação entre a inflamação, o estresse e as desigualdades sociais e econômicas na infância, sobre o desempenho físico de idosos com diferenciados perfis epidemiológicos. Enfatizamos que a promoção do envelhecimento saudável requer considerar políticas e práticas que favoreçam o bem-estar econômico e social para crianças, adultos e idosos.

Análise de desempenho de algoritmos de compressão de dados com perda para aplicações industriais

The great amount of data generated as the result of the automation and process supervision in industry implies in two problems: a big demand of storage in discs and the difficulty in streaming this data through a telecommunications link. The lossy data compression algorithms were born in the 90’s with the goal of solving these problems and, by consequence, industries started to use those algorithms in industrial supervision systems to compress data in real time. These algorithms were projected to eliminate redundant and undesired information in a efficient and simple way. However, those algorithms parameters must be set for each process variable, becoming impracticable to configure this parameters for each variable in case of systems that monitor thousands of them. In that context, this paper propose the algorithm Adaptive Swinging Door Trending that consists in a adaptation of the Swinging Door Trending, as this main parameters are adjusted dynamically by the analysis of the signal tendencies in real time. It’s also proposed a comparative analysis of performance in lossy data compression algorithms applied on time series process variables and dynamometer cards. The algorithms used to compare were the piecewise linear and the transforms.

Algoritmo modificado de PSO matricial aplicado a identificação de sistemas com análise de convergência

Recentemente diversas técnicas de computação evolucionárias têm sido utilizadas em áreas como estimação de parâmetros de processos dinâmicos lineares e não lineares ou até sujeitos a incertezas. Isso motiva a utilização de algoritmos como o otimizador por nuvem de partículas (PSO) nas referidas áreas do conhecimento. Porém, pouco se sabe sobre a convergência desse algoritmo e, principalmente, as análises e estudos realizados têm se concentrado em resultados experimentais. Por isso, é objetivo deste trabalho propor uma nova estrutura para o PSO que permita analisar melhor a convergência do algoritmo de forma analítica. Para isso, o PSO é reestruturado para assumir uma forma matricial e reformulado como um sistema linear por partes. As partes serão analisadas de forma separada e será proposta a inserção de um fator de esquecimento que garante que a parte mais significativa deste sistema possua autovalores dentro do círculo de raio unitário. Também será realizada a análise da convergência do algoritmo como um todo, utilizando um critério de convergência quase certa, aplicável a sistemas chaveados. Na sequência, serão realizados testes experimentais de maneira a verificar o comportamento dos autovalores após a inserção do fator de esquecimento. Posteriormente, os algoritmos de identificação de parâmetros tradicionais serão combinados com o PSO matricial, de maneira a tornar os resultados da identificação tão bons ou melhores que a identificação apenas com o PSO ou, apenas com os algoritmos tradicionais. Os resultados mostram a convergência das partículas em uma região delimitada e que as funções obtidas após a combinação do algoritmo PSO matricial com os algoritmos convencionais, apresentam maior generalização para o sistema apresentado. As conclusões a que se chega é que a hibridização, apesar de limitar a busca por uma partícula mais apta do PSO, permite um desempenho mínimo para o algoritmo e ainda possibilita melhorar o resultado obtido com os algoritmos tradicionais, permitindo a representação do sistema aproximado em quantidades maiores de frequências.

Segurança do paciente em terapia intensiva neonatal: identificação e análise de eventos adversos

The patient safety is a major concern in health services for its global dimension, as evidenced by the fragility of care processes that predispose an occurrence of adverse events. These events in a neonatal intensive care unit are considered serious and hazardous to lives of newborns. The present study aimed to identify and analyze adverse events in a neonatal intensive care unit based in Trigger Tool. It is an epidemiological, cross-sectional , exploratory, retrospective study with quantitative, descriptive and analytical approach, performed in 2015 at a school hospital. The sample was not probabilistic, involving 116 newborns who met the eligibility criteria. Data collection was performed by retrospective review of medical records, using a specific kind of "trigger" instrument, composed of sentinel events in neonatology, adapted from the American model used by the Vermont-Oxford Network. Data were analyzed using descriptive and inferential statistics. The chi-square test for linear trend was used to assess the associations between the variables of interest. The research received a favorable agreement from Ethics Committee of the Federal University of Rio Grande do Norte, under number 1055533, and Presentation Certificate for Ethics Assessment 43894515.6.0000.5537. The results show among investigated newborns, 110 experienced at least one adverse event during their stay, with a total of 391 medical records analyzed and rate of 3.37 events per patient. Prevailed the preterm newborns with low birth weight, from mother who had hypertensive diseases during pregnancy and urinary tract infection. The average hospitalization time was 25 days, associated with hospital-acquired infections events (p = 0.01). Among the identified adverse events stood out the events related to thermoregulation disorders (39.0%), with prevalence of hypothermia (26.0%), followed by health care-related infections (16.4%) and blood glucose disorders, hypoglycemia (9.00%) and hyperglycemia (6.64%). Most of these incidents were classified in categories E and F, which represents that there was damage small proportion. Due to these damages come from the care practice with newborn, 78% were classified as avoidable. There was statistically significant association between the variable birth weight with infections (p = 0.006) as well as peri/intraventricular bleeding (p = 0.02), hypoglycemia (p = 0.021), hyperglycemia (p = 0.001), hyperthermia (p = 0.39) and death (p=0,02). Gestational age was associated with seizures (p = 0.002), hyperglycemia (p=0.017) e hyperthermia (p=0.027). The security institution culture was reported by the health workers as intermediate, even though the number of adverse events found in only one unit of service indicates that there is much to be done. Thus the high rate of adverse events identified in the neonatal intensive care unit reinforces the necessity to elaborate specific preventive strategies for this risk environment.

Segurança do paciente em terapia intensiva neonatal: identificação e análise de eventos adversos

The patient safety is a major concern in health services for its global dimension, as evidenced by the fragility of care processes that predispose an occurrence of adverse events. These events in a neonatal intensive care unit are considered serious and hazardous to lives of newborns. The present study aimed to identify and analyze adverse events in a neonatal intensive care unit based in Trigger Tool. It is an epidemiological, cross-sectional , exploratory, retrospective study with quantitative, descriptive and analytical approach, performed in 2015 at a school hospital. The sample was not probabilistic, involving 116 newborns who met the eligibility criteria. Data collection was performed by retrospective review of medical records, using a specific kind of "trigger" instrument, composed of sentinel events in neonatology, adapted from the American model used by the Vermont-Oxford Network. Data were analyzed using descriptive and inferential statistics. The chi-square test for linear trend was used to assess the associations between the variables of interest. The research received a favorable agreement from Ethics Committee of the Federal University of Rio Grande do Norte, under number 1055533, and Presentation Certificate for Ethics Assessment 43894515.6.0000.5537. The results show among investigated newborns, 110 experienced at least one adverse event during their stay, with a total of 391 medical records analyzed and rate of 3.37 events per patient. Prevailed the preterm newborns with low birth weight, from mother who had hypertensive diseases during pregnancy and urinary tract infection. The average hospitalization time was 25 days, associated with hospital-acquired infections events (p = 0.01). Among the identified adverse events stood out the events related to thermoregulation disorders (39.0%), with prevalence of hypothermia (26.0%), followed by health care-related infections (16.4%) and blood glucose disorders, hypoglycemia (9.00%) and hyperglycemia (6.64%). Most of these incidents were classified in categories E and F, which represents that there was damage small proportion. Due to these damages come from the care practice with newborn, 78% were classified as avoidable. There was statistically significant association between the variable birth weight with infections (p = 0.006) as well as peri/intraventricular bleeding (p = 0.02), hypoglycemia (p = 0.021), hyperglycemia (p = 0.001), hyperthermia (p = 0.39) and death (p=0,02). Gestational age was associated with seizures (p = 0.002), hyperglycemia (p=0.017) e hyperthermia (p=0.027). The security institution culture was reported by the health workers as intermediate, even though the number of adverse events found in only one unit of service indicates that there is much to be done. Thus the high rate of adverse events identified in the neonatal intensive care unit reinforces the necessity to elaborate specific preventive strategies for this risk environment.

Análise da variabilidade climática sobre a produtividade da soja no município de Bom Jesus (PI)

The climate is still main responsible for the variations soybean productivity (Glycine max (L.) Merrill), exerting a limiting action on these agricultural systems. The bomjesuense cerrado, this culture has proved, over the years, an increase of cultivated areas, however, productivity does not keep the same pace, going through periods of oscillations. Thus, although the crop is added to high technology, culture has great vulnerability to climatic adversities. Thus, the present study aims to analyze possible trends in meteorological variables, which can influence the soybean yield in Bom Jesus. For this purpose, different datasets were used, as follows: i) two periods of daily data (1984-2014 and 1974-2014), both obtained from the National Meteorological Institute (INMET); ii) climate normals from 1961-1990 as defined by INMET; iii) local agricultural production data of soybean-year (1997/1998 to 2012/2013) obtained from the Municipal Agricultural Production (PAM) dataset, which is management by Brazilian Institute of Geography and Statistics (IBGE). The analysis procedures included calculations of climate normals for 1984 to 2014 period and some statistical applications, as follows: i) the Wilcoxon test, used to evaluate differences between climate normals (1961 to 1990 and 1984 to 2014); ii) the Mann-Kendall nonparametric test, in order to analyze the linear trend of agrometeorological variables (rainfall, maximum temperature, minimum temperature and diurnal range of temperature; iii) cluster analysis by Ward method and the Spearman correlation test (rs) to identify the relationship between agrometeorological variable and soybean annual productivity. We adopted a statistical significance level of 5%. The results indicate changes in seasonality of the 1984-2014 climatology with respect to past climatology for all variables analyzed, except for insolation and precipitation. However, the monthly analysis of precipitation indicate negative trend during October and positive trend in December, causing a delay in start of rainy season. If this trend is persistent this result must be considered in futures definitions of the soybean crop sowing date over the region studied. With Mann-Kendall test was possible to identify positive trends with statistical significance in maximum temperature for all month forming part of soybean cycle (from November to April), which in turn tends to cause adverse effects on crop physiology, and consequently impacts on the final yield. Was identified a significant positive correlation between soybean yield and precipitation observed in March, thus precipitation deficit in this month is harmful to the soybean crop development. No statistically significant correlation was identified among maximum temperature, minimum temperature, and DTR with annual soybean productivity due these range of meteorological variables are not limiting factors in the final soybean yield in Bom Jesus (PI). It is expected that this study will contribute to propose planning strategies considering the role of climate variability on soybean crop final yield.

Near miss materno e iniquidades em saúde: análise de determinantes contextuais no Rio Grande do Norte, Brasil

The scope of this study was to identify socioeconomic contextual and health care factors in primary care associated with maternal near misses and their marker conditions. This is an ecological study that used aggregated data of 63 clusters formed by the municipalities of State of Rio Grande do Norte, Brazil, using the Skater method of area regionalization, as the unit of analysis. The ratio of maternal near misses and their marker conditions were obtained from the Hospital Information System of the Brazilian Unified Health System. In multiple linear regression analysis, there was a significant association between maternal near misses and variables of poverty and poor primary health care. Hypertensive disorders were also associated with poverty and poor primary care and the occurrence of hemorrhaging was associated with infant mortality. It was observed that the occurrence of maternal near misses is linked to unfavorable socioeconomic conditions and poor quality health care that are a reflection of public policies that accentuate health inequalities.

Near miss materno e iniquidades em saúde: análise de determinantes contextuais no Rio Grande do Norte, Brasil

The scope of this study was to identify socioeconomic contextual and health care factors in primary care associated with maternal near misses and their marker conditions. This is an ecological study that used aggregated data of 63 clusters formed by the municipalities of State of Rio Grande do Norte, Brazil, using the Skater method of area regionalization, as the unit of analysis. The ratio of maternal near misses and their marker conditions were obtained from the Hospital Information System of the Brazilian Unified Health System. In multiple linear regression analysis, there was a significant association between maternal near misses and variables of poverty and poor primary health care. Hypertensive disorders were also associated with poverty and poor primary care and the occurrence of hemorrhaging was associated with infant mortality. It was observed that the occurrence of maternal near misses is linked to unfavorable socioeconomic conditions and poor quality health care that are a reflection of public policies that accentuate health inequalities.

Aids em idosos no Brasil no período de 2000 a 2012: uma análise de série temporal e dos fatores contextuais associados

The characteristics profile of individuals who develop AIDS in Brazil has changed over time. Among these modifications, a worrying finding is the increased incidence of AIDS in the elderly across the country. But, however, is not yet clear whether the increase in AIDS cases is sufficient to produce a change in the trend of measures in recent years in the Brazilian states, and this increase has an effect from the socioeconomic and demographic indicators. In this sense, the objective of this study is to analyze the AIDS incidence rates among the elderly in Brazil and its effect on socioeconomic and demographic inequalities in the period 2000 to 2012. This is an ecological time-series study to meet behavior of the time series of the incidence rates of AIDS in the elderly from 2000 to 2012. the rates were calculated using the secondary data from Diseases Information System Notification and the Brazilian Institute of Geography and Statistics. Data were analyzed statistically to know the trends in incidence rates, by polynomial regression model and joinpoint log-linear regression model, but also the simple linear regression analysis to find the relationship of trends with variables socioeconomic and demographic. SPSS 20.0® and Joinpoint 4.1.1 programs were used. All tests were carried out considering a significance of 5%. After the analysis, in Brazil were reported 62,052 new cases of AIDS in the elderly from 2000 to 2012. During this period, a significant increase was found for males, both aged 50-59 years (APPC: 3.46 %, p <0.001), such as above 59 years (AAPC: 4.38%; p <0.001). For females, the increase was significant and has the largest increments in the time series, when compared to males in both age groups (AAPC: 4.62%, p <0.001 and AAPC: 6.53%; p <0.001) respectively. The largest increases are observed in women and in the states of North and Northeast. In the Southeast Region is observed stabilization of rates throughout the series. The reason of trends between the sexes had a significant reduction, but also an approach in both age groups of the study, reaching a ratio of 1.7 males for every female in the youngest age group. The trends were related to illiteracy rates, with increasing social inequality and the lowest human development in the Brazilian states. We conclude that in Brazil the incidence of AIDS in the elderly follows an increasing trend in individuals over 50 years. Noteworthy are the highest rates of study in women and in the states of North and Northeast. In this sense, the country needs to enhance policies towards older people with STD / AIDS, training health professionals and developing effective measures for the prevention and early diagnosis of infected people, especially in places with limited resources and high social inequality. In the long term, it is developing new studies to understand whether the measures taken were effective in reducing the trends identified in this study.

Otimização de uma metodologia para análise mineralógica racional de argilominerais

VARELA, M.L. et al. Otimização de uma metodologia para análise mineralógica racional de argilominerais. Cerâmica, São Paulo, n. 51, p. 387-391, 2005.

A Geração de inovação na carcinicultura do RN: Uma análise a partir da imersão social

This dissertation examines the organizational innovation as a nonlinear process, which occurs in a social and political context and, therefore, socially immersed. Examines the case of shrimp in the state of RN, starting from the following problem: although the norteriograndense shrimp occupies the largest producer of farmed shrimp from Brazil, has a series of bottlenecks concerning the generation of industry innovation, concerning the social relationships and policies between the various actors in the network, whether private or public, and its consequences in terms of opportunity and limits generated for the innovative dynamics. The objective of the research is to understand how the social embeddedness of political actors affects norteriograndense shrimp within the context of structural relations, the industry generation of innovation, throughout its technological trajectory . The approach of social embeddedness balances atomised perspectives, undersocialized and oversocialized, of economic action, considering both the human capacity to act as sources of constraint, whose mechanisms are analyzed the structural and political. In methodological terms this is a case study, analyzed from the research literature, documentary and experimental. Primary data were collected through semi-structured interviews and analyzed in depth by the technique of content analysis. Was adopted a longitudinal approach, seeking to understand the phenomenon from the perspective of the subjects, describing it in an inductive process of investigation. After characterizing the sector and defining their technological trajectory, the analysis of the results followed its four stages: (1) Introduction of Technology: 1973-1980, (2) Intensification of Research: 1981-1991, (3) Technological Adaptation, 1992 -2003, (4) Technological Crisis: 2004-2009. A cross-sectional analysis along the evolutionary trajectory revealed the character of structural changes and policies over time, and implications on the generating process of innovation. Note that, the technological limit to which the sector reached requires changes in technology standards, but is more likely that the potiguar shrimp is entering a new phase of his career in technology rather than a new technological paradigm

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