979 resultados para Rede de detecção
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Study model: observacional, retrospective. Objective: to determine the frequence of the ametropic errors and other ocular problems in children with 2 to 8 year-old at Piracicaba - SP. Patients and Method: During the school year of 2000, 1001 children enrolled at the public schools of Piracicaba - SP, age ranged from 2 to 8 years old, were referred to complete ophthalmological exam. Visual acuity was previously determined using Snellen chart, applied by school teachers. Those children presenting visual acuity equal or less than 0.8, visual complaints or visual disorders were selected to appointment. Results: 51 children (5.09%) did not attended to examination. 950 children were submitted to complete ophthalmological exam. Ametropic errors were found 70.84% of the children. The most prevalent refractive errors were Hypermetropic Astigmatism (49.62%) and Hypermetropia (32,98%). Anisometropia was found in 1.78% children. Other ocular disabilities accounted for 10.21% of the examined children, such as strabismus (3.36%), eyelid changes, allergic conjunctivitis, congenital dacryostenosis, optic atrophy, corioretinitis and congenital glaucoma. Conclusion: The frequence of ocular problems observed let us to conclude the screening programs are valid surveys on decreasing rates of preventable blindness in our country.
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This paper presents the identification of tectonic deformation through the application of the stream-gradient index (slope x length) method in the Rio do Peixe hydrographic basin, located in western State of Sã o Paulo. The main principle used is that river valleys are the best tools for this type of analysis because of their fast adjustment to even the most gentle crustal deformations. This type of analysis for structural studies is extremely useful in the western region of the State of São Paulo, where deep chemical weathering results in a thick regolith and scarce outcrops. The stream length index is the ratio of the altimetric amplitude of each drainage and the natural logarithm of its length. The value obtained is plotted on maps at the median point of each drainage, allowing the drawings of lines with the same values (isodefs). Three anomalies (A, B and C) were identified along the Rio do Peixe valley representing uplift sectors indicated by the formation and distribution of Upper Quaternary deposits in terraces and modern fluvial plains and alluvial fans. In correlation with known tectonic data for this region it is possible to attribute the A and B anomalies to the Ribeirão Preto and Presidente Prudente crustal sutures, respectively. The smaller C anomaly needs further field investigation, but it could be associated with the Três Lagoas crustal suture. It must be emphasised that these sutures are inherited from the Precambrian Basement which had a strong influence on the Phanerozoic evolution in the whole sedimentary and volcanic stratigraphic pile of the Paraná Basin and on the dominant structural lineaments directions developed therein .The A, Band C anomalies are suggestive of renewed uplift as a result of neotectonic action in modern times.
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The Brazilian Cartography presents great deficiency in cartographic products updating. This form, Remote Sensins techniques together Digital Processing Images - DPI, are contributing to improve this problem. The Mathematical Morphology theory was used in this work. The principal function was the pruning operator. With its were extracted the interest features that can be used in cartographic process updating. The obtained results are positives and showed the use potential of mathematical morphology theory in cartography, mainly in updating.
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There are several papers on pruning methods in the artificial neural networks area. However, with rare exceptions, none of them presents an appropriate statistical evaluation of such methods. In this article, we proved statistically the ability of some methods to reduce the number of neurons of the hidden layer of a multilayer perceptron neural network (MLP), and to maintain the same landing of classification error of the initial net. They are evaluated seven pruning methods. The experimental investigation was accomplished on five groups of generated data and in two groups of real data. Three variables were accompanied in the study: apparent classification error rate in the test group (REA); number of hidden neurons, obtained after the application of the pruning method; and number of training/retraining epochs, to evaluate the computational effort. The non-parametric Friedman's test was used to do the statistical analysis.
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Running water is one of the most important of all the physical processes which fashion the landscape, allowing gravity to operate along the valley floors. Besides this, the streams show a fast adjustment to the crustal deformations, even to the most gentle ones. This geologic behavior turns them a potential tool for neotectonic studies, specially the analysis of morphotnetric parameters associated with hydraulic gradient and discharge, this second factor being directly proportional to the extension of the streams. Both elements, gradient and stream length, can be combined in the SL index. The purpose of this paper is to show the RDE index application in the neotectonics analysis of the Rio do Peixe hydrographic basin and to compare the obtained values with the geologic basement incised by the streams. This basement encompasses Cretaceous sedimentary rocks of post-Serra Oeral Formation magmatism (Caiuá and Bauru groups) and Quaternary deposits that include chiefly recent alluvial plains and some Pleistocene terrace deposits. In the final part of this paper, an attempt is made in order to correlate the RDE results and the neotectonic framework admitted to this portion of the São Paulo State territory, as well as with field geologic, seismologic and paleoseismologic known elements. The results indicate the presence of two groups of anomalies: The first set corresponds to the Marília-Exaporã Plateau border, and the second one, located in the central portion of the hydrographic basin, is correlated to the Presidente Prudente seimogenic zone.
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This study was performed in order to evaluate the detection limit of PCR with fluorescent capillary electrophoresis for Leptospira pomona diagnosis in bovine semen. Negative bovine semen samples were artificially contaminated with Leptospira pomona (10 0 to 10 7 bacteria/ ml) and DNA was extracted by phenol/chloroform protocol. DNA fragments visualization was done by three electrophoresis methods: under UV light in 2 % agarose gel, silver staining 8% polyacrylamide gel and fluorescent capillary electrophoresis. The detection limit of capillary electrophoresis for Leptospira pomona was 10 2bacteria/ml. Under UV light, in 2 % agarose gel, the detection limit was of 10 4 bacteria/ ml while for silver stained 8 % polyacrylamide gel it was 10 2 bacteria/ ml. PCR with fluorescent capillary electrophoresis is an efficient and rapid diagnostic test for DNA detection of Leptospira in bovine semen and this can be an important tool for herd and semen sanitary control in artificial insemination centers.
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The edges detection model by a non-linear anisotropic diffusion, consists in a mathematical model of smoothing based in Partial Differential Equation (PDE), alternative to the conventional low-pass filters. The smoothing model consists in a selective process, where homogeneous areas of the image are smoothed intensely in agreement with the temporal evolution applied to the model. The level of smoothing is related with the amount of undesired information contained in the image, i.e., the model is directly related with the optimal level of smoothing, eliminating the undesired information and keeping selectively the interest features for Cartography area. The model is primordial for cartographic applications, its function is to realize the image preprocessing without losing edges and other important details on the image, mainly airports tracks and paved roads. Experiments carried out with digital images showed that the methodology allows to obtain the features, e.g. airports tracks, with efficiency.
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The great diversity of materials that characterizes the urban environment determines a structure of mixed classes in a classification of multiespectral images. In that sense, it is important to define an appropriate classification system using a non parametric classifier, that allows incorporating non spectral (such as texture) data to the process. They also allow analyzing the uncertainty associated to each class from the output alues of the network calculated in relation to each class. Considering these properties, an experiment was carried out. This experiment consisted in the application of an Artificial Neural Network aiming at the classification of the urban land cover of Presidente Prudente and the analysis of the uncertainty in the representation of the mapped thematic classes. The results showed that it is possible to discriminate the variations in the urban land cover through the application of an Artificial Neural Network. It was also possible to visualize the spatial variation of the uncertainty in the attribution of classes of urban land cover from the generated representations. The class characterized by a defined pattern as intermediary related to the impermeability of the urban soil presented larger ambiguity degree and, therefore, larger mixture.
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Slime production is an important virulence factor of coagulase-negative Staphylococcus spp., allowing them to attach to smooth surfaces of biomaterials, and it has been associated with infections of implanted medical devices. In the present study the production of slime capsules in 27 strains of coagulase-negative Staphylococcus was investigated by culture in Congo Red agar (77.7% positivity), spectrophotometric or microplate method (81.4% positivity) and scanning electron microscopy (88.9% positivity). The resistance of coagulase-negative strains of Staphylococcus to various antimicrobial agents was also determined by agar disk diffusion. The proportion of strains resistant to penicillin G, oxacillin, erythromycin, clindamycin and gentamicin among the slime-producing staphylococci was 88.9%, 70.4%, 81.5%, 66.7% and 59.2%, respectively; all of the coagulase-negative staphylococci were susceptible to vancomycin. The strains isolated from central venous catheters were identified by a conventional method and the API Staph system. The 27 coagulase-negative Staphylococcus strains were identified as: S. saprophyticus (3.7%), S. xylosus (7.4%), S. haemolyticus (14.8%), S. epidermidis (37.0%), S. warneri (14.8%), S. lugdunensis (7.4%), S. hominis (7.4%), S. schleiferi (3.7%) and S. chromogenes (3.7%). It can be concluded that in the most of the coagulase-negative Staphylococcus species there was an association between slime production, the nosocomial origin of the strains and reduced sensitivity to the antibiotics, suggesting a pathogenic potential in the hospital environment.
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Infection by Toxoplasma gondii in equines is usually not apparent, it being characterized by presence of antibody titers and tissue cysts. This study was aimed at verifying the presence of anti-Toxoplasma antibodies in equine serum by modified agglutination test (MAT) and reaction to indirect immunofluorescent antibody test (IFAT). 1984 samples of serum were examined, by MAT, using whole formalin fixed tachyzoites of T.gondii as antigen. The samples reacting in the MAT test, and 150 other negative samples, chosen at random, were also tested by IFAT, utilizing anti-equine IgG. The association among the test results was verified by the McNemar test. 138 samples were positive in the MAT test, with 60 (46.38%) presenting reaction at a dilution of 1:64; 52 (37.7%) at 1:256; 19 (13.8%) at 1:1024; five (3.6%) at 1:4096; and two (1.45%) at 1:16384. Of 132 positive MAT samples, 14 were negative in the IFAT test, but the statistical analysis indicated general agreement in results of the tests. The results obtained showed agreement among the tests utilized, and the possibility of participation of equines in the transmission of toxoplasmosis to carnivorous animals, and also to humans.
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The Brazilian Geodetic Network started to be established in the early 40's, employing classical surveying methods, such as triangulation and trilateration. With the introduction of satellite positioning systems, such as TRANSIT and GPS, that network was densified. That data was adjusted by employing a variety of methods, yielding distortions in the network that need to be understood. In this work, we analyze and interpret study cases in an attempt to understand the distortions in the Brazilian network. For each case, we performed the network adjustment employing the GHOST software suite. The results show that the distortion is least sensitive to the removal of invar baselines in the classical network. The network would be more affected by the inexistence of Laplace stations and Doppler control points, with differences up to 4.5 m.
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The purpose of this study was to identify the drugs most often prescribed for hypertension at the Municipal Health Care Center of the town of Rincäo, State of São Paulo, Brazil, and the principal interactions arising from their association with other drugs, both anti-hypertensives and those in other classes. The study included 725 hypertensive patients registered at this health care center who were regularly seen by a physician every three months. Data were collected on age, sex, occurrence of diabetes, smoking, sedentary lifestyle and overweight, to obtain a profile of the hypertensive population of the area. Control records of all patients were available at the pharmacy in the health care center, where patients obtained their drugs once a month. Of the 725 patients, 38% were male and 62% female. Most (57%) were between 50 and 70 years of age, 21% used tobacco and 43% led a sedentary lifestyle. Single-drug therapy accounted for 33% of the prescriptions, multidrug therapy for 66%. In addition to anti-hypertensives, 50% of the patients took drugs of other therapeutic classes. Of those receiving multidrug therapy, 34% used three or more anti-hypertensives and 66% used only two of these drugs. Drug interactions were detected in as many as 47% of the prescriptions. Captopril was the drug that showed most interactions with others (54%), followed by hydrochlorothiazide (27%), furosemide (14%), propanolol (4%), and nifedipine (1%). The analysis revealed that drug consumption by the patients investigated is high, with a concomitantly high number of episodes of drug interaction.
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Laboratory tests to detect urinary infection at a lawer cost than uroculture are necessary. Triphenyl tetrazolium chloride was evaluated in parallel with uroculture in 342 urine samples, for the detection of significant bacteriuria. The results showed that the test has high sensitivity (91.3%) but low specificity (64.3%), and negative predictive value 99.0%. Although the test cannot replace uroculture as a diagnostic method, it can be recommended for preliminary screening, and could eliminate the need for uroculture of negative samples.
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GPS active networks are more and more used in geodetic surveying and scientific experiments, as water vapor monitoring in the atmosphere and lithosphere plate movement. Among the methods of GPS positioning, Precise Point Positioning (PPP) has provided very good results. A characteristic of PPP is related to the modeling and / or estimation of the errors involved in this method. The accuracy obtained for the coordinates can reach few millimeters. Seasonal effects can affect such accuracy if they are not consistent treated during the data processing. Coordinates time series analyses have been realized using Fourier or Harmonics spectral analyses, wavelets, least squares estimation among others. An approach is presented in this paper aiming to investigate the seasonal effects included in the stations coordinates time series. Experiments were carried out using data from stations Manaus (NAUS) and Fortaleza (BRFT) which belong to the Brazilian Continuous GPS Network (RBMC). The coordinates of these stations were estimated daily using PPP and were analyzed through wavelets for identification of the periods of the seasonal effects (annual and semi-annual) in each time series. These effects were removed by means of a filtering process applied in the series via the least squares adjustment (LSQ) of a periodic function. The results showed that the combination of these two mathematical tools, wavelets and LSQ, is an interesting and efficient technique for removal of seasonal effects in time series.
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The outdating of cartographic products affects planning. It is important to propose methods to help detect changes in surface. Thus, the combined use of remote sensing image and techniques of digital image processing has contributed significantly to minimize such outdating. Mathematical morphology is an image processing technique which describes quantitatively geometric structures presented in the image and provides tools such as edge detectors and morphological filters. Previous studies have shown that the technique has potential on the detection of significant features. Thus, this paper proposes a routine of morphological operators to detect a road network. The test area corresponds to an excerpt Quickbird image and has as a feature of interest an avenue of the city of Presidente Prudente, SP. In the processing, the main morphological operators used were threshad, areaopen, binary and erosion. To estimate the accuracy with which the linear features were detected, it was done the analysis of linear correlation between vectors of the features detected and the corresponding topographical map of the region. The results showed that the mathematical morphology can be used in cartography, aiming to use them in conventional cartographic updating processes.