In vitro adhesion of Candida glabrata to denture base acrylic resin modified by glow-discharge plasma treatment

This study evaluated the potential of plasma treatments to modify the surface chemistry and hydrophobicity of a denture base acrylic resin to reduce the Candida glabrata adhesion. Specimens (n=54) with smooth surfaces were made and divided into three groups (n=18): control - non-treated; experimental groups - submitted to plasma treatment (Ar/50W; AAt/130W). The effects of these treatments on chemical composition and surface topography of the acrylic resin were evaluated. Surface free energy measurements (SFE) were performed after the treatments and after 48h of immersion in water. For each group, half (n=9) of the specimens were preconditionated with saliva before the adhesion assay. The number of adhered C. glabrata was evaluated by cell counting after crystal violet staining. The Ar/50W and AAt/130W treatments altered the chemistry composition, hydrophobicity and topography of acrylic surface. The Ar/50W group showed significantly lower C. glabrata adherence than the control group, in the absence of saliva. After preconditioning with saliva, C. glabrata adherence in experimental and control groups did not differ significantly. There were significant changes in the SFE after immersion in water. The results demonstrated that Ar/50W treated surfaces have potential for reducing C. glabrata adhesion to denture base resins and deserve further investigation, especially to tailor the parameters to prolong the increased wettability. © 2012 Blackwell Verlag GmbH.

Artificial neural network model of discharge lamps in the power quality context

This paper presents a methodology for modeling high intensity discharge lamps based on artificial neural networks. The methodology provides a model which is able to represent the device operating in the frequency of distribution systems, facing events related to power quality. With the aid of a data acquisition system to monitor the laboratory experiment, and using $$\text{ MATLAB }^{\textregistered }$$ software, data was obtained for the training of two neural networks. These neural networks, working together, were able to represent with high fidelity the behavior of a discharge lamp. The excellent performance obtained by these models allowed the simulation of a group of lamps in a distribution system with shorter simulation time when compared to mathematical models. This fact justified the application of this family of loads in electric power systems. The representation of the device facing power quality disturbances also proved to be a useful tool for more complex studies in distribution systems. © 2013 Brazilian Society for Automatics - SBA.

Applying machine learning based on multiscale classifiers to detect remote phenology patterns in Cerrado savanna trees

Plant phenology is one of the most reliable indicators of species responses to global climate change, motivating the development of new technologies for phenological monitoring. Digital cameras or near remote systems have been efficiently applied as multi-channel imaging sensors, where leaf color information is extracted from the RGB (Red, Green, and Blue) color channels, and the changes in green levels are used to infer leafing patterns of plant species. In this scenario, texture information is a great ally for image analysis that has been little used in phenology studies. We monitored leaf-changing patterns of Cerrado savanna vegetation by taking daily digital images. We extract RGB channels from the digital images and correlate them with phenological changes. Additionally, we benefit from the inclusion of textural metrics for quantifying spatial heterogeneity. Our first goals are: (1) to test if color change information is able to characterize the phenological pattern of a group of species; (2) to test if the temporal variation in image texture is useful to distinguish plant species; and (3) to test if individuals from the same species may be automatically identified using digital images. In this paper, we present a machine learning approach based on multiscale classifiers to detect phenological patterns in the digital images. Our results indicate that: (1) extreme hours (morning and afternoon) are the best for identifying plant species; (2) different plant species present a different behavior with respect to the color change information; and (3) texture variation along temporal images is promising information for capturing phenological patterns. Based on those results, we suggest that individuals from the same species and functional group might be identified using digital images, and introduce a new tool to help phenology experts in the identification of new individuals from the same species in the image and their location on the ground. © 2013 Elsevier B.V. All rights reserved.

Geomorfologia e hidrossedimentologia da planície do Rio Paraguai, da Lagoa Vermelha à confluência do Rio Miranda, Pantanal Mato-Grossense

Pós-graduação em Geociências e Meio Ambiente - IGCE

Unidades de relevo em zona costeira estuarina: municípios de Colares e Santo Antônio do Tauá

Este trabalho tem por objetivo identificar e discutir as unidades de relevo dos municípios de Colares e Santo Antônio do Tauá, Estado do Pará, Brasil. Apresenta como objeto de estudo a compartimentação do relevo. A área de estudada se localiza na parte oriental do Golfão Marajoara, porção nordeste da baía de Marajó, em um trecho tipicamente estuarino da zona costeira. A pesquisa foi realizada com base em revisão de literatura, levantamento cartográfico, tratamento, interpretação e vetorização de imagens orbitais e trabalhos de campo. Duas escalas de análise foram trabalhadas. A primeira escala referiu-se à Zona Costeira Amazônica (ZCA), caracterizada por ser uma costa baixa, predominantemente sedimentar, sujeita a regime de macromarés em sua maior parte e fortemente influenciada pelas descargas fluviais condicionadas pelo clima úmido. A formação regional desta costa deve-se às flutuações do nível relativo do mar, oscilações climáticas e à neotectônica, atuantes ao longo do Cenozóico Superior. A porção oriental do Golfão Marajoara é constituída pelo estuário do rio Pará, que se comporta como um tidal river ou estuário dominado por correntes fluviais, apesar da influência das marés. As descargas fluviais são o fator principal da hidrodinâmica estuarina, constituição sedimentar e organização da biota. Trata-se de um ambiente costeiro mais protegido da ação de ondas e da deriva litorânea, em comparação com o litoral atlântico do Nordeste do Pará. Na segunda escala de trabalho foram identificadas 8 unidades de relevo: leito estuarino arenoso; banco lamoso de intermaré; planície de maré lamosa; praia estuarina; cordão arenoso; planície aluvial sob influência de maré; planície aluvial; tabuleiro. Apenas a unidade do tabuleiro é considerada como relevo erosivo. A seguir, discutiu-se a distribuição espacial das unidades de relevo, que mostrou a presença de dois setores específicos. O setor 1, situado a oeste, é amplamente influenciado por marés, e nele predominam formas de relevo de acumulação, com destaque para as planícies aluviais sob influência de maré, que ocupam maior área, fato que revela um esquema de transição entre o domínio marinho e o flúviocontinental. As várzeas sucedem os mangues para o interior, à medida que diminui a influência da água salgada. O esquema básico de distribuição sedimentar é representado por areias de fundo de canal e lamas depositadas nas margens durante a maré baixa. As praias são reduzidas, o que se explica pela menor atuação de ondas, e pelo papel decisivo das correntes de maré e das vazantes na dinâmica costeira. Cordões arenosos localizados no interior da planície costeira são o testemunho da progradação da linha de costa. Neste setor, os tabuleiros encontramse muito fragmentados, em consequência da erosão e sedimentação por marés, canais e águas das chuvas. O setor 2, a leste, não sofre influência de marés, e apresenta um relevo menos compartimentado, com tabuleiros seccionados pela rede de drenagem. A dissecação fluvial forma vales com estreitas planícies aluviais, fato que revela uma superfície erosiva mais ampla.

Predictive factors of post-discharge surgical site infections among patients from a teaching hospital

Introduction Surgical site infections (SSIs) often manifest after patients are discharged and are missed by hospital-based surveillance. Methods We conducted a case-reference study nested in a prospective cohort of patients from six surgical specialties in a teaching hospital. The factors related to SSI were compared for cases identified during the hospital stay and after discharge. Results Among 3,427 patients, 222 (6.4%) acquired an SSI. In 138 of these patients, the onset of the SSI occurred after discharge. Neurological surgery and the use of steroids were independently associated with a greater likelihood of SSI diagnosis during the hospital stay. Conclusions Our results support the idea of a specialty-based strategy for post-discharge SSI surveillance.

Geostatistics and remote sensing methods in the classification of images of areas cultivated with citrus

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Treatment of polycarbonate by dielectric barrier discharge (DBD) at atmospheric pressure

Generally most plastic materials are intrinsically hydrophobic, low surface energy materials, and thus do not adhere well to other substances. Surface treatment of polymers by discharge plasmas is of great and increasing industrial application because it can uniformly modify the surface of sample without changing the material bulk properties and is environmentally friendly. The plasma processes that can be conducted under ambient pressure and temperature conditions have attracted special attention because of their easy implementation in industrial processing. Present work deals with surface modification of polycarbonate (PC) by a dielectric barrier discharge (DBD) at atmospheric pressure. The treatment was performed in a parallel plate reactor driven by a 60Hz power supply. The DBD plasmas at atmospheric pressure were generated in air and nitrogen. Material characterization was carried out by contact angle measurements, and X-ray photoelectron spectroscopy (XPS). The surface energy of the polymer surface was calculated from contact angle data by Owens-Wendt method using distilled water and diiodomethane as test liquids. The plasma-induced chemical modifications are associated with incorporation of polar oxygen and nitrogen containing groups on the polymer surface. Due to these surface modifications the DBD-treated polymers become more hydrophilic. Aging behavior of the treated samples revealed that the polymer surfaces were prone to hydrophobic recovery although they did not completely recover their original wetting properties.

NodePM: A Remote Monitoring Alert System for Energy Consumption Using Probabilistic Techniques

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Rank Aggregation for Pattern Classifier Selection in Remote Sensing Images

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Treatment of Reticulated Vitreous Carbon by Dielectric Barrier Discharge Plasma for Electrodes Production

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Acetylene plasma polymer treated by atmospheric dielectric barrier discharge

Plasma polymer films are very attractive for industrial applications in several sectors such as in the electronic, mechanic, biomedic, coating and others, due to its good adhesion, being insoluble in mild acids and bases and having a high crosslinking structure. This work reports the physical, structural, and surface properties of the polymer obtained from an acetylene plasma polymerization technique and treated by dielectric barrier discharge (DBD). The film was deposited in a reactor supplied by a radio-frequency power source at low pressure. After deposition, the nanofilms were treated in a DBD plasma reactor operating in air. The treatment times varied from 1 to 5 min. The analysis of molecular structure of the samples was investigated by FTIR spectroscopy, showing absorption bands in 3480, 2930, 1720, 1450 and 1380 cm(-1). The water contact-angle was investigated by goniometric technique and presented values from 5 to 65 degrees. The aging effect of these films was also studied. The alteration in the films surface morphology was assessed by an atomic force microscopy (AFM) which indicated that the roughness increased from 60 nm to 160 nm as a result of the DBD treatment. The refractive index of the samples presented values near 1.7, measured by UV-Visible spectroscopy. (C) 2014 Elsevier Ltd. All rights reserved.

Modelling the surface circulation and thermal structure of a tropical reservoir using three-dimensional hydrodynamic lake model and remote-sensing data

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)