880 resultados para Supervised brushing
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The municipality of Areia Branca is within the mesoregion of West Potiguar and within the microregion of Mossoró, covering an area of 357,58 km2. Covering an area of weakness in terms of environmental, housing, together with the municipality of Grossos-RN, the estuary of River Apodi-Mossoró. The municipality of Areia Branca has historically suffered from a lack of planning regarding the use and occupation of land as some economic activities, attracted by the extremely favorable natural conditions, have exploited their natural resources improperly. The aim of this study is to quantify and analyze the environmental degradation in the municipality. Thus initially was performed a characterization of land use using remote sensing, geoprocessing and geographic information system GIS in order to generate data and information on the municipal scale, which may serve as input to the environmental planning and land use planning in the region. From this perspective, were used a Landsat 5 image TM sensor for the year 2010. In the processing of this image was used SPRING 5.2 and applied a supervised classification using the classifier regions, which was employed Bhattacharya Distance method with a threshold at 30%. Thus was obtained the land use map that was analyzed the spatial distribution of different types of the use that is occurring in the city, identifying areas that are being used incorrectly and the main types of environmental degradation. And further, were applied the methodology proposed by Beltrame (1994), Physical Diagnosis Conservationist under some adaptations for quantifying the level of degradation or conservation study area. As results, the indexes were obtained for the parameters in the proposed methodology, allowing quantitatively analyze the degradation potential of each sector. From this perspective, considering a scale of 0 to 100, sector A and sector B had value 31.20 units of risk of physical deterioration. And the C sector, has shown its value - 34.64 units degradation risk and should be considered a priority in relation to the achievement of conservation actions
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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The aim of this study was to investigate the social representation of technological education teachers at the Federal Technological Education Network. The survey was conducted from 2007 to 2010, and the respondents were 275 teachers, 135 of the Federal Center for Technological Education (CEFET in portuguese) in the state of Amazonas, in Manaus unit headquarters; 140 of the CEFET in the state of Rio Grande do Norte, a unit based in Natal. We adopt the concept of technological education as the top level of professional education, that is to say, the undergraduate programs of short duration called technological courses. The Federal Technological Education Network gathers hundreds of related institutions, coordinated and supervised by the Office of Vocational and Technological Education of the Ministry of Education. Although many of these institutions offer courses in technology education, no research addressing this subject from the perspective of Social Representations Theory (SRT) was found in the literature. We seek to unravel the social representation of technological education of the teachers by adopting the procedural approach of SRT. This is a qualitative approach, focusing on significant aspects of the representative activity and the formation mechanisms of the representation. Therefore, we search the socio-genesis of the representation in the articulations between discourses, social institutions and practices. We initiated the research through applying critical reading and an analytical perspective on the historical and regulatory documents of technological education in Brazil, from the early twentieth century to the present day. We adopt the Procedure for Multiple Classifications (PMC) from the Free Words Association Technique (FWAT) to access the elements of representational content. For the analysis of the data obtained with FWAT and selection of major words / phrases pertinent to the semantic field of education technology, we used Hamlet II software. For the data analysis of PMC and Free Classification (FC) we used the SPSS ® (Statistical Package for the Social Sciences) version 17.0 and used the method of multidimensional scaling - Multidimensional scaling - (MDS). The output from the central MDS takes the form of a set of scatterplots - "perceptual maps" - of which the points are the elements of the representational content. For the FC data analysis we used the Scalogram Multidimensional Analysis (SMA) - which makes use of the original data in its raw form and allows categorical data to be interpreted in the map as measures of (di)similarity. In order to help with the understanding of the settings of the perceptual maps of FC, we used the Content Analysis of the discourse fragments of the teachers interviewed. The results confirm our initial hypothesis regarding the presence of a single plot among the socio-cognitive study subjects, which is the basis for a social representation of technological education in line with the historic assumption of the dichotomy between mental and manual labor. In spite of the three merging representational elements of the representational content, the perceptual maps compiled from the MSA statistics corroborates the dichotomy, with the exception of the map relating to the subgroup of teachers belonging to the humanities
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Data classification is a task with high applicability in a lot of areas. Most methods for treating classification problems found in the literature dealing with single-label or traditional problems. In recent years has been identified a series of classification tasks in which the samples can be labeled at more than one class simultaneously (multi-label classification). Additionally, these classes can be hierarchically organized (hierarchical classification and hierarchical multi-label classification). On the other hand, we have also studied a new category of learning, called semi-supervised learning, combining labeled data (supervised learning) and non-labeled data (unsupervised learning) during the training phase, thus reducing the need for a large amount of labeled data when only a small set of labeled samples is available. Thus, since both the techniques of multi-label and hierarchical multi-label classification as semi-supervised learning has shown favorable results with its use, this work is proposed and used to apply semi-supervised learning in hierarchical multi-label classication tasks, so eciently take advantage of the main advantages of the two areas. An experimental analysis of the proposed methods found that the use of semi-supervised learning in hierarchical multi-label methods presented satisfactory results, since the two approaches were statistically similar results
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Objective to establish a methodology for the oil spill monitoring on the sea surface, located at the Submerged Exploration Area of the Polo Region of Guamaré, in the State of Rio Grande do Norte, using orbital images of Synthetic Aperture Radar (SAR integrated with meteoceanographycs products. This methodology was applied in the following stages: (1) the creation of a base map of the Exploration Area; (2) the processing of NOAA/AVHRR and ERS-2 images for generation of meteoceanographycs products; (3) the processing of RADARSAT-1 images for monitoring of oil spills; (4) the integration of RADARSAT-1 images with NOAA/AVHRR and ERS-2 image products; and (5) the structuring of a data base. The Integration of RADARSAT-1 image of the Potiguar Basin of day 21.05.99 with the base map of the Exploration Area of the Polo Region of Guamaré for the identification of the probable sources of the oil spots, was used successfully in the detention of the probable spot of oil detected next to the exit to the submarine emissary in the Exploration Area of the Polo Region of Guamaré. To support the integration of RADARSAT-1 images with NOAA/AVHRR and ERS-2 image products, a methodology was developed for the classification of oil spills identified by RADARSAT-1 images. For this, the following algorithms of classification not supervised were tested: K-means, Fuzzy k-means and Isodata. These algorithms are part of the PCI Geomatics software, which was used for the filtering of RADARSAT-1 images. For validation of the results, the oil spills submitted to the unsupervised classification were compared to the results of the Semivariogram Textural Classifier (STC). The mentioned classifier was developed especially for oil spill classification purposes and requires PCI software for the whole processing of RADARSAT-1 images. After all, the results of the classifications were analyzed through Visual Analysis; Calculation of Proportionality of Largeness and Analysis Statistics. Amongst the three algorithms of classifications tested, it was noted that there were no significant alterations in relation to the spills classified with the STC, in all of the analyses taken into consideration. Therefore, considering all the procedures, it has been shown that the described methodology can be successfully applied using the unsupervised classifiers tested, resulting in a decrease of time in the identification and classification processing of oil spills, if compared with the utilization of the STC classifier
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We aim to investigate the effectiveness of a 10-week lifestyle intervention focusing on physical activity and high fiber intake for reducing indicators for metabolic syndrome in overweight-obese individuals. A prospective study of 50 overweight (OW) adults (22 in the general educational group - G1; 28 in the high fiber nutrition group - G2) was performed. Both groups were offered dietary counseling and supervised exercise. Clinical, anthropometric, dietary and plasma biochemical tests were performed at baseline - time 0 (T0) and after 10 weeks - time 1 (T1). Both groups improved their dietary quality, but only G2 presented higher intake of fruit and vegetables (servings/day), higher plasma beta-carotene levels and a 24% reduction of MetS incidence. Additionally G2 showed greater reductions in body fat (4%), and waist circumference (7%), obesity class III (2%) and obesity class II (14%) rate. Lifestyle intervention, including a high dietary fiber intake, improved healthy eating index and decreased body fat composition and plasma lipid concentrations leading to MetS incidence reduction.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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This in situ/ex vivo study evaluated whether saliva stimulated by chewing gum could prevent or reduce the wear and the percent change in microhardness (%SMH) of bovine and human enamel submitted to erosion followed by brushing abrasion immediately or after 1 h. During 2 experimental 7-day crossover phases, 9 previously selected volunteers wore intraoral palatal devices, with 12 enamel specimens (6 human and 6 bovine). In the first phase, the volunteers immersed the device for 5 min in 150 ml of cola drink, 4 times per day (at 8, 12, 16 and 20 h). Immediately after the immersions, no treatment was performed in 4 specimens, 4 other specimens were immediately brushed (0 min) using a fluoride dentifrice, and the device was replaced into the mouth. After 60 min, the remaining 4 specimens were brushed. In the second phase, the procedures were repeated, but after the immersions, the volunteers stimulated the salivary flow rate by chewing a sugar-free gum for 30 min. Changes in wear and %SMH were measured. ANOVA and Tukey's test showed statistical differences (p < 0.05) for the following comparisons. The chewing gum promoted less wear and %SMH. A decreasing %SMH and an increasing enamel wear were observed in the following conditions: erosion only, 60 min and 0 min. The human enamel presented greater %SMH and less wear compared to bovine enamel. The data suggest that the salivary stimulation after an erosive or erosive/abrasive attack can reduce the dental wear and the %SMH.
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OBJETIVO: avaliar a freqüência dos sinais e sintomas, dos hábitos parafuncionais e das características oclusais de 80 crianças, pacientes da clínica de Ortodontia Preventiva da Faculdade de Odontologia de Araçatuba - UNESP. METODOLOGIA: o exame clínico constituiu-se de avaliação das características oclusais do paciente e observação da presença de hábitos parafuncionais. As crianças foram submetidas a uma entrevista, supervisionadas pelos pais, cujas perguntas relacionavam-se com os sinais e sintomas da disfunção. RESULTADOS E CONCLUSÕES: concluiu-se que os sinais e sintomas mais freqüentes foram o hábito de ranger os dentes, dores de cabeça e ruídos na ATM. A onicofagia e o bruxismo foram os hábitos parafuncionais mais prevalentes. A freqüência de sinais e sintomas da disfunção temporomandibular pode ser verificada em crianças por meio da entrevista e exame clínico minucioso.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)