EVOLUÇÃO DO EMPREGO, DO VALOR ADICIONADO REAL E DO VALOR ADICIONADO REAL POR TRABALHADOR NO MUNICÍPIO DE CRICIÚMA

A estrutura produtiva da cidade de Criciúma na sua trajetória histórica sempre foi muito vinculada à indústria extrativa de carvão, sendo esta extremamente beneficiada em nível nacional por políticas públicas

Automated recognition of lung diseases in CT images based on the optimum-path forest classifier

The World Health Organization estimated that around 300 million people have asthma, and 210 million people are affected by Chronic Obstructive Pulmonary Disease (COPD). Also, it is estimated that the number of deaths from COPD increased 30% in 2015 and COPD will become the third major cause of death worldwide by 2030. These statistics about lung diseases get worse when one considers fibrosis, calcifications and other diseases. For the public health system, the early and accurate diagnosis of any pulmonary disease is mandatory for effective treatments and prevention of further deaths. In this sense, this work consists in using information from lung images to identify and classify lung diseases. Two steps are required to achieve these goals: automatically extraction of representative image features of the lungs and recognition of the possible disease using a computational classifier. As to the first step, this work proposes an approach that combines Spatial Interdependence Matrix (SIM) and Visual Information Fidelity (VIF). Concerning the second step, we propose to employ a Gaussian-based distance to be used together with the optimum-path forest (OPF) classifier to classify the lungs under study as normal or with fibrosis, or even affected by COPD. Moreover, to confirm the robustness of OPF in this classification problem, we also considered Support Vector Machines and a Multilayer Perceptron Neural Network for comparison purposes. Overall, the results confirmed the good performance of the OPF configured with the Gaussian distance when applied to SIM- and VIF-based features. The performance scores achieved by the OPF classifier were as follows: average accuracy of 98.2%, total processing time of 117 microseconds in a common personal laptop, and F-score of 95.2% for the three classification classes. These results showed that OPF is a very competitive classifier, and suitable to be used for lung disease classification

Novel and powerful 3D adaptive crisp active contour method applied in the segmentation of CT lung images

The World Health Organization estimates that 300 million people have asthma, 210 million people haveChronic Obstructive Pulmonary Disease (COPD), and, according to WHO, COPD will become the third majorcause of death worldwide in 2030. Computational Vision systems are commonly used in pulmonologyto address the task of image segmentation, which is essential for accurate medical diagnoses. Segmentationdefines the regions of the lungs in CT images of the thorax that must be further analyzed bythe system or by a specialist physician. This work proposes a novel and powerful technique named 3DAdaptive Crisp Active Contour Method (3D ACACM) for the segmentation of CT lung images. The methodstarts with a sphere within the lung to be segmented that is deformed by forces acting on it towardsthe lung borders. This process is performed iteratively in order to minimize an energy function associatedwith the 3D deformable model used. In the experimental assessment, the 3D ACACM is comparedagainst three approaches commonly used in this field: the automatic 3D Region Growing, the level-setalgorithm based on coherent propagation and the semi-automatic segmentation by an expert using the3D OsiriX toolbox. When applied to 40 CT scans of the chest the 3D ACACM had an average F-measureof 99.22%, revealing its superiority and competency to segment lungs in CT images

Changes in infant and neonatal mortality and associated factors in eight cohorts from three Brazilian cities

Stillbirth (SBR), perinatal (PMR), neonatal (NMR) and infant mortality rates (IMR) are declining in Brazil and the factors associated with these falls are still being investigated. The objective of the present study was to assess changes in SBR, PMR, NMR and IMR over time and to determine the factors associated with changes in NMR and IMR in eight Brazilian cohorts. All cohorts are population-based (Ribeirão Preto in 1978/79, 1994 and 2010; Pelotas in 1982, 1993 and 2004; and São Luís in 1997/98 and 2010). Were included data on 41440 children. All indicators were decreased, except in the city of Pelotas, from 1993 to 2004, and except SBR in São Luís. Sociodemographic variables seem to be able to explain reductions of NMR and IMR in Ribeirão Preto, from 1978/79 to 1994, and in São Luís. In Ribeirão Preto, from 1994 to 2010 declines in NMR and IMR seem to be explained by reductions in intrauterine growth restriction (IUGR). Newborn’s gestational age had diminished in all cohorts, preventing even greater reductions of NMR and IMR. Improved sociodemographic variables and reduction of IUGR, seem to be able to explain part of the decrease observed. NMR and IMR could have been reduced even more, were it not for the worsening in gestational age distribution

Peso medio al nacer entre recién nacidos a término : tendencia, magnitud y factores asociados

A trend towards increasing birth weight has been shown, but factors that explain these trends have not been elucidated. The objectives of this study were to evaluate changes in mean birth weight of term newborns and to identify factors associated with them. All cohorts are population-based studies in which random samples of births (Ribeirão Preto, São Paulo State in 1978/1979, 1994 and 2010; Pelotas, Rio Grande do Sul State in 1982, 1993 and 2004; and São Luís, Maranhão State in 1997/1998 and 2010, Brazil). A total of 32,147 full-term, singleton live births were included. Mean birth weight reduced in the first study period (-89.1g in Ribeirão Preto from 1978/1979 to 1994, and -27.7g in Pelotas from 1982 to 1993) and increased +30.2g in Ribeirão Preto from 1994 to 2010 and +24.7g in São Luís from 1997 to 2010. In the first period, in Ribeirão Preto, mean birth weight reduction was steeper among mothers with high school education and among those born 39-41 weeks. In the second period, the increase in mean birth weight was steeper among mothers with low schooling in Ribeirão Preto and São Luís, females and those born 37-38 weeks in Ribeirão Preto and cesarean section in São Luís. Birth weight decreased in the first study period then increased thereafter. The variables that seem to have been able to explain these changes varied over time.Existem evidências de uma tendência de aumento do peso ao nascer, mas pouco se sabe sobre os fatores que explicam essa tendência. Avaliar as mudanças na média de peso ao nascer e identificar os fatores associados. Foram incluídas todas as coortes de base populacional com amostras aleatórias de nascimentos (Ribeirão Preto, São Paulo em 1978/1979, 1994 e 2010; Pelotas, Rio Grande do Sul em 1982, 1993 e 2004; São Luís, Maranhão em 1997/1998 e 2010, Brasil). Foi incluído um total de 32.147 nascidos vivos a termo, de feto único. A média de peso ao nascer diminuiu no primeiro período estudado (-89,1g entre 1978/1979 e 1994 em Ribeirão Preto e -27,7g entre 1982 e 1993 em Pelotas) e aumentou no segundo período, +30,2g entre 1994 e 2010 em Ribeirão Preto e +24,7g entre 1997 e 2010 em São Luís. No primeiro período, em Ribeirão Preto, a redução na média de peso ao nascer foi maior entre mães com escolaridade mais alta e crianças nascidas com 39-41 semanas de idade gestacional. No segundo período, o aumento na média de peso ao nascer foi maior entre mães com escolaridade mais baixa em Ribeirão Preto e São Luís, crianças do sexo feminino e nascidas com 37-38 semanas em Ribeirão Preto e crianças nascidas de cesárea em São Luís. O peso ao nascer diminuiu no primeiro período e aumentou desde então. As variáveis que parecem explicar essas mudanças variaram ao longo do tempo.Se ha mostrado una tendencia de aumento de peso al nacer, pero los factores que explican esta tendencia todavía no han sido elucidados. Evaluar los cambios en el peso medio al nacer de los recién nacidos a término e identificar factores asociados. Se trata de un estudio de todas las cohortes basadas en población, donde existe una muestra aleatoria simple de nacimientos (Ribeirão Preto, São Paulo en 1978/1979, 1994 y 2010; Pelotas, Rio Grande do Sul en 1982, 1993 y 2004; y São Luís, Maranhão en 1997/1998 y 2010, Brasil). Se incluyeron un total de 32.147 de nacimientos a término completo con embarazo de un único feto. El peso medio al nacer se redujo en el primer estudio del período (-89,1g en Ribeirão Preto desde 1978/1979 a 1994 y -27,7g en Pelotas desde 1982 a 1993) y se incrementó +30,2g en Ribeirão Preto desde 1994 a 2010 y +24.7g en São Luís desde 1997 a 2010. En el primer periodo, en Ribeirão Preto, la reducción del peso medio al nacer fue más pronunciada entre madres con una escolarización más alta y entre aquellos nacidos con 39-41 semanas. En el segundo período, el incremento en el peso medio al nacer fue más pronunciado entre las madres con una escolarización más baja en Ribeirão Preto y São Luís, mujeres y aquellos que nacieron con 37-38 semanas en Ribeirão Preto y en el área de cesáreas en São Luís. Disminuyó el peso al nacer durante el primer período de estudio y se vio incrementado después. Las variables que parecen capaces de explicar estos cambios varían a lo largo del tiempo

Factors Associated with Height Catch-Up and Catch-Down Growth Among Schoolchildren

In developed countries, children with intrauterine growth restriction (IUGR) or born preterm (PT) tend to achieve catch-up growth. There is little information about height catch-up in developing countries and about height catch-down in both developed and developing countries. We studied the effect of IUGR and PT birth on height catch-up and catch-down growth of children from two cohorts of liveborn singletons. Data from 1,463 children was collected at birth and at school age in Ribeirão Preto (RP), a more developed city, and in São Luís (SL), a less developed city. A change in z-score between schoolchild height z-score and birth length z-score≥0.67 was considered catch-up; a change in z-score≤−0.67 indicated catch-down growth. The explanatory variables were: appropriate weight for gestational age/PT birth in four categories: term children without IUGR (normal), IUGR only (term with IUGR), PT only (preterm without IUGR) and preterm with IUGR; infant's sex; maternal parity, age, schooling and marital status; occupation of family head; family income and neonatal ponderal index (PI). The risk ratio for catch-up and catch-down was estimated by multinomial logistic regression for each city. In RP, preterms without IUGR (RR = 4.13) and thin children (PI<10th percentile, RR = 14.39) had a higher risk of catch-down; catch-up was higher among terms with IUGR (RR = 5.53), preterms with IUGR (RR = 5.36) and children born to primiparous mothers (RR = 1.83). In SL, catch-down was higher among preterms without IUGR (RR = 5.19), girls (RR = 1.52) and children from low-income families (RR = 2.74); the lowest risk of catch-down (RR = 0.27) and the highest risk of catch-up (RR = 3.77) were observed among terms with IUGR. In both cities, terms with IUGR presented height catch-up growth whereas preterms with IUGR only had height catch-up growth in the more affluent setting. Preterms without IUGR presented height catch-down growth, suggesting that a better socioeconomic situation facilitates height catch-up and prevents height catch-down growth