Influência da seca extrema na dinâmica fitoplanctônica de um reservatório da região tropical semiárida: uma abordagem morfofuncional

Droughts are climatic phenomena whose frequency has increased in the last decades and also compromised drinkable water supplies in semiarid regions. The lack of rain combined with high evaporation rates promotes a significant reduction of the volume of reservoirs in these regions. Shallower conditions favors nutrients concentration and phytoplankton overgrowth, including potentially toxic cyanobacteria blooming. Therefore, there is a tendency to the intensification of eutrophication in those reservoirs during drought periods. Phytoplankton can respond quickly to environmental conditions related to light and nutrient availability by changes in algal biomass and composition, therefore it is considered a good predictor of environmental variables. Two functional approaches - Reynolds’s Functional Groups (FG) and Kruk’s Morphologically Based Functional Groups (MBFG) - were used to assess which environmental variables were responsible for phytoplankton dynamics, in addition to compare which functional approach explains environmental changes better. This study highlights that the reduction of 90% in the volume of a tropical reservoir of Brazilian semi-arid region, as well as light limitation and nutrient increase, can promote phytoplankton overgrowth. Multivariate analyses using both functional approaches indicated a clear separation between high volumes and low volumes conditions, showing that light and nutrient availability were the main variables that better explained the combination of functional groups. The composition of phytoplankton assemblage changed from species of meso-eutrophic habitats (FG: F and J; MBFG: VI), to organisms of eutrophic and turbid environments (FG: SN and M; MBFG: VIII and VII) during shallower conditions. Both ecological approaches described properly the phytoplankton dynamics according to light and trophic state alterations related to the water volume reduction, therefore they can be considered as equivalent approaches for using in similar environments.

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.

Uso de correntropia na generalização de funções cicloestacionárias e aplicações para a extração de características de sinais modulados

Information extraction is a frequent and relevant problem in digital signal processing. In the past few years, different methods have been utilized for the parameterization of signals and the achievement of efficient descriptors. When the signals possess statistical cyclostationary properties, the Cyclic Autocorrelation Function (CAF) and the Spectral Cyclic Density (SCD) can be used to extract second-order cyclostationary information. However, second-order cyclostationary information is poor in nongaussian signals, as the cyclostationary analysis in this case should comprise higher-order statistical information. This paper proposes a new mathematical tool for the higher-order cyclostationary analysis based on the correntropy function. Specifically, the cyclostationary analysis is revisited focusing on the information theory, while the Cyclic Correntropy Function (CCF) and Cyclic Correntropy Spectral Density (CCSD) are also defined. Besides, it is analytically proven that the CCF contains information regarding second- and higher-order cyclostationary moments, being a generalization of the CAF. The performance of the aforementioned new functions in the extraction of higher-order cyclostationary characteristics is analyzed in a wireless communication system where nongaussian noise exists.

Sistema inteligente para o processamento de imagens digitais intrabucais oclusais

Several are the areas in which digital images are used in solving day-to-day problems. In medicine the use of computer systems have improved the diagnosis and medical interpretations. In dentistry it’s not different, increasingly procedures assisted by computers have support dentists in their tasks. Set in this context, an area of dentistry known as public oral health is responsible for diagnosis and oral health treatment of a population. To this end, oral visual inspections are held in order to obtain oral health status information of a given population. From this collection of information, also known as epidemiological survey, the dentist can plan and evaluate taken actions for the different problems identified. This procedure has limiting factors, such as a limited number of qualified professionals to perform these tasks, different diagnoses interpretations among other factors. Given this context came the ideia of using intelligent systems techniques in supporting carrying out these tasks. Thus, it was proposed in this paper the development of an intelligent system able to segment, count and classify teeth from occlusal intraoral digital photographic images. The proposed system makes combined use of machine learning techniques and digital image processing. We first carried out a color-based segmentation on regions of interest, teeth and non teeth, in the images through the use of Support Vector Machine. After identifying these regions were used techniques based on morphological operators such as erosion and transformed watershed for counting and detecting the boundaries of the teeth, respectively. With the border detection of teeth was possible to calculate the Fourier descriptors for their shape and the position descriptors. Then the teeth were classified according to their types through the use of the SVM from the method one-against-all used in multiclass problem. The multiclass classification problem has been approached in two different ways. In the first approach we have considered three class types: molar, premolar and non teeth, while the second approach were considered five class types: molar, premolar, canine, incisor and non teeth. The system presented a satisfactory performance in the segmenting, counting and classification of teeth present in the images.

Sistema inteligente para o processamento de imagens digitais intrabucais oclusais

Several are the areas in which digital images are used in solving day-to-day problems. In medicine the use of computer systems have improved the diagnosis and medical interpretations. In dentistry it’s not different, increasingly procedures assisted by computers have support dentists in their tasks. Set in this context, an area of dentistry known as public oral health is responsible for diagnosis and oral health treatment of a population. To this end, oral visual inspections are held in order to obtain oral health status information of a given population. From this collection of information, also known as epidemiological survey, the dentist can plan and evaluate taken actions for the different problems identified. This procedure has limiting factors, such as a limited number of qualified professionals to perform these tasks, different diagnoses interpretations among other factors. Given this context came the ideia of using intelligent systems techniques in supporting carrying out these tasks. Thus, it was proposed in this paper the development of an intelligent system able to segment, count and classify teeth from occlusal intraoral digital photographic images. The proposed system makes combined use of machine learning techniques and digital image processing. We first carried out a color-based segmentation on regions of interest, teeth and non teeth, in the images through the use of Support Vector Machine. After identifying these regions were used techniques based on morphological operators such as erosion and transformed watershed for counting and detecting the boundaries of the teeth, respectively. With the border detection of teeth was possible to calculate the Fourier descriptors for their shape and the position descriptors. Then the teeth were classified according to their types through the use of the SVM from the method one-against-all used in multiclass problem. The multiclass classification problem has been approached in two different ways. In the first approach we have considered three class types: molar, premolar and non teeth, while the second approach were considered five class types: molar, premolar, canine, incisor and non teeth. The system presented a satisfactory performance in the segmenting, counting and classification of teeth present in the images.

Linguagens documentárias

BOIASKI, Daniela ; GUIPSON, Larissa; MARTINS, Silvestre Gomes; MARIA, Taíse ; VANTI, Nadia. Linguagens documentárias. In: SEMINÁRIO DE PESQUISA DO CENTRO DE CIÊNCIAS SOCIAIS APLICADA,15., 2009, Natal. Anais Eletrônico...Natal: CCSA, 2009.

Diagnóstico, estadiamento e tratamento cirúrgico do adenocarcinoma de pâncreas

O adenocarcinoma pancreático é um dos tumores sólidos de pior prognóstico, sendo o tratamento cirúrgico o único potencialmente curativo. Na grande maioria dos pacientes o tumor é diagnosticado em fase avançada, comumente na presença de doença metastática. A introdução de modernos métodos diagnósticos associados ao aperfeiçoamento dos já existentes tem gerado controvérsia quanto à melhor maneira de se estabelecer o diagnóstico e estadiamento do tumor. Da mesma forma, o papel da cirurgia na paliação e aspectos técnicos da ressecção de lesões localizadas estão longe de alcançarem consenso na prática. Método - Revisão da literatura sobre os aspectos controversos relacionados ao tema e um algoritmo para a abordagem dos pacientes com suspeita de tumor de pâncreas são apresentados. Foram utilizados os descritores: “adenocarcinoma” e “pâncreas” para pesquisa no PubMed (www.pubmed.com) e na Bireme (www.bireme.br) e a seguir selecionadas as publicações pertinentes a cada tópico escolhido com atenção especial para metanálises, estudos clínicos controlados, revisões sitemáticas e ainda publicações de grandes centros especializados em doenças pancreáticas. Conclusões - Na suspeita de adenocarcinoma de pâncreas é possível realizar estadiamento muito próximo do real sem a necessidade da exploração cirúrgica sistemática em virtude da disponibilidade na prática de exames modernos e eficientes. Isso permite que paliação menos invasiva seja praticada na maioria dos pacientes com lesões avançadas e incuráveis. Nos em que a cura é possível, a operação deve ser realizada objetivando-se, essencialmente, a remoção da lesão com margens livres e com aceitáveis índices de morbi-mortalidade

Integridade da pele em idosos: revisão da literatura segundo as cartas de promoção da saúde

Trata-se de uma revisão bibliográfica que objetivou relacionar as medidas educativas para a promoção da integridade da pele em idosos com as Cartas de Promoção da Saúde. Realizou-se a busca nas bases de dados CINAHL, SCOPUS, LILACS e COCHRANE, nos portais CAPES e BVS e na biblioteca PUBMED, mediante a aplicação dos descritores Health Education; Skin e Aged. Os resultados dos 7 artigos analisados apontaram como principais medidas educativas: inspeção diária da pele, cuidados com calçados e com os pés, uso regular de protetor solar e mudanças de decúbito. Essas medidas estavam relacionadas com as seguintes Cartas de Promoção da Saúde: Ottawa, Declaração de Santafé de Bogotá e Declaração de Jacarta. Conclui-se que as medidas educativas, baseadas nas Cartas, são de grande relevância para a criação de uma cultura de saúde, com enfoque na população e no indivíduo como agentes executores imprescindíveis para o alcance da promoção da saúde