Comparative study using small-angle x-ray scattering and nitrogen adsorption in the characterization of silica xerogels and aerogels

A comparative study using small-angle x-ray scattering (SAXS) and nitrogen adsorption has been carried out in the structural characterization of silica xerogels and aerogels, obtained from tetraethoxysilane sonohydrolysis. The specific surface and the mean pore size as measured by both the techniques were found to be in notable agreement in all cases for aerogels and xerogels. According to the SAXS data, aerogels at 500 °C exhibit a mass fractal structure with fractal dimension D∼2.4 in the range between the correlation length ξ∼5.3 nm and a∼0.75 nm. An experimental method to probe the mass fractal structure of aerogels from exclusively nitrogen adsorption isotherms has been presented. For aerogels at 500 °C, we have found D∼2.4 in the range between the pore width 2rξ∼33 nm and 2ra∼4.5 nm, which is in notable agreement with the SAXS results (D ∼2.4, ξ∼5.3 nm, a∼0.75 nm) if we assign the pore width 2r probed by the Kelvin equation in the adsorption method to the Bragg distance 2π/q associated to the correlation length 1/q probed by SAXS.

Small-angle x-ray scattering study of the structural evolution of the drying of sonogels with the liquid phase exchanged by acetone

The structural evolution on the drying of wet sonogels of silica with the liquid phase exchanged by acetone, obtained from tetraethoxisilane sonohydrolysis, was studied in situ by small-angle x-ray scattering (SAXS). The periods associated to the structural evolution as determined by SAXS are in agreement with those classical ones established on basis of the features of the evaporation rate of the liquid phase in the obtaining of xerogels. The wet gel can be described as formed by primary particles (microclusters), with characteristic length a ∼ 0.67 nm and surface which is fractal, linking together to form mass fractal structures with mass fractal dimension D=2.24 in a length scale ξ∼6.7 nm. As the network collapses while the liquid/vapor meniscus is kept out of the gel volume, the mass fractal structure becomes more compacted by increasing D and decreasing ξ, with smoothing of the fractal surface of the microclusters. The time evolution of the density of the wet gels was evaluated exclusively from the SAXS parameters ξ, D, and a. The final dried acetone-exchanged gel presents Porod's inhomogeneity length of about 2.8 nm and apparently exhibits an interesting singularity D →3, as determined by the mass fractal modeling used to fit the SAXS intensity data for the obtaining of the parameters ξ and D.

Effect of lithium doping on the evolution of rheological and structural properties during gelation of siloxane-poly(oxypropylene) nanocomposites

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

Natural infection by Paramphistomoidea Stiles and Goldberger, 1910 trematodes in wild Marsh Deer (Blastocerus dichotomus Illiger, 1815) from Sérgio Mottas's hydroelectric power station flooding area.

Studies on helminthfauna of marsh deer Blastocerus dichotomus Illiger, 1815 are rare, although helminthic diseases are an important cause of mortality in these animals. Fifteen male and female adult marsh deer from Sergio Motta's hydroelectric power station flooding area at Paraná River which died during the capture and quarantine procedures, between 1998 and 1999, were necropsied. Three trematodes species, Paramphistomum cervi, Balanorchis anastrofus and Zygocotyle lunatum, all belonging to superfamily Paramphistomoidea, were identified. The obtained trematodes were identified, counted and their respectives descriptors of infection were determined. All necropsied animals were infected by helminths. Paramphistomum cervi was the most prevalent species, while Zygocotyle lunatum was found in only one animal.

Estudos ecológicos em taxocenoses helmínticas de Chaunus ictericus (Spix, 1824) e C. schneideri (Werner, 1894) (Anura: Bufonidae) simpátricos, capturados no distrito de São Cristóvão, Município de Três Barras, Santa Catarina.

Fifty eight Chaunus ictericus and 42 C. schneideri specimens were collected on São Cristóvão district, Três Barras, SC for helminthological studies. Fourteen helminth species were diagnosed, from which only five species were found on both hosts. Chaunus ictericus showed higher values of species richness (2,8448+/-1,1516) and diversity (H = 1,374), with mild dominance (1-D = 0,642, J = 0,5528), in comparison with C. schneideri (0,6428+/-1,007; H = 1,165; 1-D = 0,5822 e J = 0,5985). Also, descriptors of helminthic infection were superior in the former host. Little number of shared species between the analyzed toad species suggests parasitic host-specificity.

Habitat heterogeneity and use of physical and acoustic space in anuran communities in Southeastern Brazil

Habitat heterogeneity and use of physical and acoustic space in anuran communities in Southeastern Brazil. We intended to verify if structural and physiognomical characteristics of water bodies influence on the degree of overlap among calling sites of 23 anurans species, if anuran species use different calling sites in different water bodies, and if there is some relationship between the degree of advertisement call (based on seven call features) and calling site differentiation. Then, we determined calling sites (based in four variables) and recorded the advertisement call for anuran species that occurred in 10 water bodies of northwestern São Paulo State. We also determined the environmental heterogeneity (based in four environmental descriptors) for each water body. Males of most species used similar calling sites in each water body, probably because of the high uniformity of the environment, as a consequence of agricultural impacts on edge vegetation of the studied ponds. Most species (18 out of 19 species) called from different sites in the ponds where they occurred, which can be associated with differences in horizontal and vertical distribution of vegetation in the studied ponds. From the 19 species analyzed, only males of Pseudopaludicola aff. saltica called in sites with the same characteristics in different ponds. Advertisement call of Hylidae species was more similar to each other than were Leiuperidae and Leptodactylidae among themselves. The aquatic/terrestrial anurans (Bufonidae, Leiuperidae, Leptodactylidae and Microhylidae) occupied similar calling sites but presented quite distinct advertisement calls, while Hylidae species presented an inverse pattern: a high similarity on advertisement call features but used different calling sites, which indicates a niche complementarity between physical (calling site use) and acoustic (advertisement call) space use. © 2008 Departamento de Ciências Biológicas.

Wavelets and decision trees for target detection over sea surface using cosmo-skymed SAR data

We are investigating the combination of wavelets and decision trees to detect ships and other maritime surveillance targets from medium resolution SAR images. Wavelets have inherent advantages to extract image descriptors while decision trees are able to handle different data sources. In addition, our work aims to consider oceanic features such as ship wakes and ocean spills. In this incipient work, Haar and Cohen-Daubechies-Feauveau 9/7 wavelets obtain detailed descriptors from targets and ocean features and are inserted with other statistical parameters and wavelets into an oblique decision tree. © 2011 Springer-Verlag.

Labeling methods for association rule clustering

Although association mining has been highlighted in the last years, the huge number of rules that are generated hamper its use. To overcome this problem, many post-processing approaches were suggested, such as clustering, which organizes the rules in groups that contain, somehow, similar knowledge. Nevertheless, clustering can aid the user only if good descriptors be associated with each group. This is a relevant issue, since the labels will provide to the user a view of the topics to be explored, helping to guide its search. This is interesting, for example, when the user doesn't have, a priori, an idea where to start. Thus, the analysis of different labeling methods for association rule clustering is important. Considering the exposed arguments, this paper analyzes some labeling methods through two measures that are proposed. One of them, Precision, measures how much the methods can find labels that represent as accurately as possible the rules contained in its group and Repetition Frequency determines how the labels are distributed along the clusters. As a result, it was possible to identify the methods and the domain organizations with the best performances that can be applied in clusters of association rules.

Semiautomatic dental recognition using a graph-based segmentation algorithm and teeth shapes features

Dental recognition is very important for forensic human identification, mainly regarding the mass disasters, which have frequently happened due to tsunamis, airplanes crashes, etc. Algorithms for automatic, precise, and robust teeth segmentation from radiograph images are crucial for dental recognition. In this work we propose the use of a graph-based algorithm to extract the teeth contours from panoramic dental radiographs that are used as dental features. In order to assess our proposal, we have carried out experiments using a database of 1126 tooth images, obtained from 40 panoramic dental radiograph images from 20 individuals. The results of the graph-based algorithm was qualitatively assessed by a human expert who reported excellent scores. For dental recognition we propose the use of the teeth shapes as biometric features, by the means of BAS (Bean Angle Statistics) and Shape Context descriptors. The BAS descriptors showed, on the same database, a better performance (EER 14%) than the Shape Context (EER 20%). © 2012 IEEE.

Intervenções farmacêuticas na atenção à saúde mental: Uma revisão

Uma revisão dirigida foi realizada nas bases de dados IBECS, LILACS e MEDLINE, até fevereiro/2011, para identificar intervenções farmacêuticas (IF) na atenção farmacêutica em saúde mental e os seus resultados. Para a busca utilizaram-se os descritores em saúde: Pharmaceutical Care, Pharmaceutical Services, Medication Adherence, Pharmacists, Mental Health, Mental Health Services, Mental Health Assistance, Community Mental Health Services, Mentally Ill Persons andMental Disorders. Identificaram-se 1686 publicações, das quais 21 contemplaram os critérios de inclusão. Após exploração do material, apenas cinco estudos tratavam-se de IF. Todos foram conduzidos no nível secundário de atenção, com abordagem individual, por meio do acompanhamento da terapia (3), intervenção educativa por cartas a médicos e pacientes (1), aconselhamento farmacêutico presencial e remoto e inserção de terapia com sistema transdérmico de nicotina (1). Os resultados, tais como promoção da adesão e resolução de problemas relacionados a medicamentos foram positivos para a terapêutica. No entanto, é necessário que as IF monitorem os parâmetros clínicos, as mudanças de hábitos, a melhora na qualidade de vida e os aspectos farmacoeconômicos a fim de avaliar os seus impactos. Palavras-chave:Atenção Farmacêutica. Assistência Farmacêutica. Adesão à Medicação. Farmacêuticos. Saúde Mental. ABSTRACT Pharmaceutical interventions in mental health services: a review A directed review was performed in IBECS, LILACS and MEDLINE databases, until February/2011, in order to identify the studies which developed pharmaceutical interventions (PI) in pharmaceutical care in mental health services and estimated their results. The search was carried out using the follow health science descriptors: Pharmaceutical Care, Pharmaceutical Services, Medication Adherence, Pharmacists, Mental Health, Mental Health Services, Mental Health Assistance, Community Mental Health Services, Mentally Ill Persons andMental Disorders. It was identified 1686 manuscripts, of whose 21 contemplated the inclusion criteria. After the content analysis of the eligible manuscripts, only five developed PI. All of them were conducted in the second level of health care, with individual approach, through: therapy follow-up (3), educational interventions by letters to physicians and patients (1), presence or remote pharmaceutical counseling and inclusion of therapy with nicotine transdermal patch (1). The data, such as adherence promotion and solving drug related problems, were positive for the therapeutic. However, it is necessary that the PI monitor the clinical parameters, the habit changes, the improvement in the quality of life and the pharmacoeconomic aspects, in order to assess their impacts. Keywords: Pharmaceutical Care. Pharmaceutical Services. Medication Adherence. Pharmacists. Mental Health. Mental Disorders.

Characterization of texture in image of skin lesions by support vector machine

Due to the increased incidence of skin cancer, computational methods based on intelligent approaches have been developed to aid dermatologists in the diagnosis of skin lesions. This paper proposes a method to classify texture in images, since it is an important feature for the successfully identification of skin lesions. For this is defined a feature vector, with the fractal dimension of images through the box-counting method (BCM), which is used with a SVM to classify the texture of the lesions in to non-irregular or irregular. With the proposed solution, we could obtain an accuracy of 72.84%. © 2012 AISTI.

Improving image classification through descriptor combination

The efficiency in image classification tasks can be improved using combined information provided by several sources, such as shape, color, and texture visual properties. Although many works proposed to combine different feature vectors, we model the descriptor combination as an optimization problem to be addressed by evolutionary-based techniques, which compute distances between samples that maximize their separability in the feature space. The robustness of the proposed technique is assessed by the Optimum-Path Forest classifier. Experiments showed that the proposed methodology can outperform individual information provided by single descriptors in well-known public datasets. © 2012 IEEE.

Atuação fisioterapêutica na lesão medular em unidade de terapia intensiva: Atualização de literatura

Objective. Collate and update knowledge in relation to physical therapy in spinal cord injury (SCI) in the intensive care unit (ICU). Method. We performed a literature update in the databases Lilacs, PubMed and Scielo, crossing the descriptors spinal cord injury, cinesiotherapy, physiotherapy, mobilization, rehabilitation, intensive care unit, respiratory therapy and electrotherapy in the period of 2005 to 2010. Results. We found 21 studies, however, only five articles met the inclusion criteria. Kinesiotherapy is essential since the phase of spinal shock, since it favors the maintenance of joint range of motion and flexibility, and to prevent circulatory complications caused/ resulted from prolonged immobilization in bed. Respiratory therapy promotes bronchial hygiene, correction of abnormal respiratory patterns and respiratory diseases. The electrotherapy is a feature still little used by physiotherapists in the intensive care units. Conclusions. The physical therapy in SCI in ICU is focused on motor rehabilitation through kinesiotherapy and intervention through the respiratory bronchial hygiene and training of respiratory muscles. New treatment modalities such as electrotherapy, there have been in intensive environment, there is a need for more studies to confirm benefits and risks of this feature in the spinal cord.

Tilings induced by a class of cubic Rauzy fractals

We study aperiodic and periodic tilings induced by the Rauzy fractal and its subtiles associated with beta-substitutions related to the polynomial x3-ax2-bx-1 for a≥b≥1. In particular, we compute the corresponding boundary graphs, describing the adjacencies in the tilings. These graphs are a valuable tool for more advanced studies of the topological properties of the Rauzy fractals. As an example, we show that the Rauzy fractals are not homeomorphic to a closed disc as soon as a≤2b-4. The methods presented in this paper may be used to obtain similar results for other classes of substitutions.© 2012 Elsevier B.V. All rights reserved.

Aprendizado de máquina simbólico e técnicas fractais para caracterizar rejeição em biópsia miocárdica

This work combines symbolic machine learning and multiscale fractal techniques to generate models that characterize cellular rejection in myocardial biopsies and that can base a diagnosis support system. The models express the knowledge by the features threshold, fractal dimension, lacunarity, number of clusters, spatial percolation and percolation probability, all obtained with myocardial biopsies processing. Models were evaluated and the most significant was the one generated by the C4.5 algorithm for the features spatial percolation and number of clusters. The result is relevant and contributes to the specialized literature since it determines a standard diagnosis protocol. © 2013 Springer.