Vascularização arterial e venosa do linfonodo poplíteo em cães

Poplíteo lympho nodes in the dogs is placed, to the right and the left in popliteo an appointed space fossa, in distal part of the muscles femoral biceps, laterally and semi-tendinous, medially, projecting in the height of the face volume of the joint to femoro tibial e femoro patellar (joint of the knee). In this study twenty and five dogs, males and females adult, originating the Araçatuba municipal kennel had been used whose captures had been effected by the animal sanitary defense of this city. The arterial vessels destined to this structure always derive, of both the sides, the femoral artery distal volume and vary of 10 the 1, more frequently of 2 (7 times, 28%) to the right and of 6 the 2, equally more frequently of 2 (8 times, 32%). So soon as one has still to right 5 and 6 branches (3 times, 12%), 1, 7 and 10 (1 time, 4%). Relatively to the veins derived from this lympho nodes, always converges to the lateral safena vein, these vessels oscillates between 9 and 2, more frequently of 3 (6 times, 24%), to the right and of 12 the 2, more frequently of 3 (10 times, 40%) to the left. Thus, others deriving branches of popliteo lympho nodes right and that if they insert in the above-mentioned vein are in number of 2 and 5 (5 times, 20%), 4 and 6 (2 times, 8%) and 8 and 9 (1 time, 4%). In spite of, to the left side it is examined in number de 2 branches (6 times, 24%), 4 (4 times, 16%), 6 (3 times, 12%) and finishing 9 and 12 branches (1 time, 4%). The size of popliteo lympho node in seropositive dogs for Visceral Leishmaniasis can meets enters 7,8 × 3,8 × 6,1 a 50,0 × 20,7 × 28,5, in mm, being average 26,18 × 10,5 × 15,97 mm for right and 26,98 × 11,14 × 15,25 mm for left (concerning the measures dorsoventral, latero-lateral and cranial-caudal, respectively).

Fast automatic microstructural segmentation of ferrous alloy samples using optimum-path forest

In this work we propose a novel automatic cast iron segmentation approach based on the Optimum-Path Forest classifier (OPF). Microscopic images from nodular, gray and malleable cast irons are segmented using OPF, and Support Vector Machines (SVM) with Radial Basis Function and SVM without kernel mapping. Results show accurate and fast segmented images, in which OPF outperformed SVMs. Our work is the first into applying OPF for automatic cast iron segmentation. © 2010 Springer-Verlag.

Automatic segmentation of digital images applied in cardiac medical images

The digital image processing has been applied in several areas, especially where it is necessary use tools for feature extraction and to get patterns of the studied images. In an initial stage, the segmentation is used to separate the image in parts that represents a interest object, that may be used in a specific study. There are several methods that intends to perform such task, but is difficult to find a method that can easily adapt to different type of images, that often are very complex or specific. To resolve this problem, this project aims to presents a adaptable segmentation method, that can be applied to different type of images, providing an better segmentation. The proposed method is based in a model of automatic multilevel thresholding and considers techniques of group histogram quantization, analysis of the histogram slope percentage and calculation of maximum entropy to define the threshold. The technique was applied to segment the cell core and potential rejection of tissue in myocardial images of biopsies from cardiac transplant. The results are significant in comparison with those provided by one of the best known segmentation methods available in the literature. © 2010 IEEE.

Comparação entre hipertensão autoreferida e pressão arterial casual e presença de fatores de risco em funcionários da saúde Bauru e Jaú

Model: Prevalence study. Objectives: To evaluate the presence of self-reported hypertension to compare with blood pressure measurements. Besides, this work investigated health information level of workers and if the job position has any influence on blood pressure (BP). Methods: This study evaluated 349 health workers (44±10 years old) from Bauru and Jau cities, who answered some questions about history of health condition, use of medicines, past surgeries as well as social, scholar and physical conditions and had their blood pressure measured. Each subject selfreported as normotensive or hypertensive. Values of systolic ≥ 140 mmHg and/or diastolic PA ≥ 90 mmHg were considered elevated. Among the health workers evaluated, 198 were submitted to anthropometric and biochemical evaluations. Values are presented as means ± SD and frequency of distribution. It was used T-student test (p<0.05). Results: From all workers evaluated only 16% self-reported as hypertensive, which 56% presented high BP, however 91% used to take antihypertensive medicines. Among the 84% who self-reported as normotensive, 24% presented high BP and 8% used to take medicines. Although most of the employees of each section self-reported as normotensive, more than a half presented high BP and which was more common in the health's section (76.3%). Conclusion: These results suggest that besides the majority of the employees self-reported as normotensive, an elevated number of health workers presented high blood pressure and used to take medicines inappropriately, which indicates that they did not have enough knowledge about their health. Furthermore, it was observed that Health Section presented the higher blood pressure values.

Precipitates segmentation from scanning electron microscope images through machine learning techniques

The presence of precipitates in metallic materials affects its durability, resistance and mechanical properties. Hence, its automatic identification by image processing and machine learning techniques may lead to reliable and efficient assessments on the materials. In this paper, we introduce four widely used supervised pattern recognition techniques to accomplish metallic precipitates segmentation in scanning electron microscope images from dissimilar welding on a Hastelloy C-276 alloy: Support Vector Machines, Optimum-Path Forest, Self Organizing Maps and a Bayesian classifier. Experimental results demonstrated that all classifiers achieved similar recognition rates with good results validated by an expert in metallographic image analysis. © 2011 Springer-Verlag Berlin Heidelberg.

Características da hipertensão arterial em Unidade Básica de Saúde

A cross observational study was achieved about hypertensive patients from the Basic Health Unit in Betel, Paulinia - S.P. assessing blood pressure levels, anthropometric data, biosocial variables, responses to questionaires about physical activity (Ipaq), and quality of life (Whoqol), as well as estimates of cardiovascular risk by Framingham score. With descriptive purposes, absolute and relative frequencies distributions are presented. From originally 95 people in the study, 18 were eliminated, and the remaining 77 were predominately composed by women, averaged 55.87 years old (standard deviation 11.88); white ethnic; basic schooling education, and income of 3 minimum salaries. Although clinical criteria verified altered values, it was the physical evaluation that indicated more clearly risks of contracting cardiovascular diseases, thus showing how different complementary evaluations can better predict risk. These results demonstrated that other professionals should be an asset as an integral part of the health team. © Copyright Moreira Jr. Editora. Todos os direitos reservados.

Automatic segmentation of the secondary austenite-phase island precipitates in a superduplex stainless steel weld metal

Duplex and superduplex stainless steels are class of materials of a high importance for engineering purposes, since they have good mechanical properties combination and also are very resistant to corrosion. It is known as well that the chemical composition of such steels is very important to maintain some desired properties. In the past years, some works have reported that γ 2 precipitation improves the toughness of such steels, and its quantification may reveals some important information about steel quality. Thus, we propose in this work the automatic segmentation of γ 2 precipitation using two pattern recognition techniques: Optimum-Path Forest (OPF) and a Bayesian classifier. To the best of our knowledge, this if the first time that machine learning techniques are applied into this area. The experimental results showed that both techniques achieved similar and good recognition rates. © 2012 Taylor & Francis Group.

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.

Automatic segmentation of latent fingerprints

Latent fingerprints are routinely found at crime scenes due to the inadvertent contact of the criminals' finger tips with various objects. As such, they have been used as crucial evidence for identifying and convicting criminals by law enforcement agencies. However, compared to plain and rolled prints, latent fingerprints usually have poor quality of ridge impressions with small fingerprint area, and contain large overlap between the foreground area (friction ridge pattern) and structured or random noise in the background. Accordingly, latent fingerprint segmentation is a difficult problem. In this paper, we propose a latent fingerprint segmentation algorithm whose goal is to separate the fingerprint region (region of interest) from background. Our algorithm utilizes both ridge orientation and frequency features. The orientation tensor is used to obtain the symmetric patterns of fingerprint ridge orientation, and local Fourier analysis method is used to estimate the local ridge frequency of the latent fingerprint. Candidate fingerprint (foreground) regions are obtained for each feature type; an intersection of regions from orientation and frequency features localizes the true latent fingerprint regions. To verify the viability of the proposed segmentation algorithm, we evaluated the segmentation results in two aspects: a comparison with the ground truth foreground and matching performance based on segmented region. © 2012 IEEE.

An assessment of a sequence of yoga exercises to patients with arterial hypertension

This quasi-experimental study describes the effects of a yoga sequence following hemodynamic and biochemical parameters in patients with hypertension. Thirty-three volunteers participated in the study (control = 16 and yoga = 17) for four months. Blood pressure measurements, cardiac and respiratory rate were collected monthly, while the biochemical profile was taken at the beginning and end of the program. To analyze the data, Student's t test and repeated measures analyses were performed. The yoga group showed a significant reduction of systolic blood pressure, heart and respiratory rate (p < 0.05). As for the biochemical profile, the yoga group showed correlation coefficients between initial values and final responses greater than the control of fasting glucose, total cholesterol, LDL-cholesterol and triglycerides. The elaborated sequence practice promoted significant cardiovascular and metabolic benefits. The yoga exercises performed in the proposed sequence constitute complementary non-pharmacological control of blood pressure in patients with hypertension. © 2012 Elsevier Ltd.

Arterial hypertension perpetuates alveolar bone loss

Few studies have focused on the impact of hypertension on the progression of periodontitis (PD). The purpose of this study was to evaluate whether hypertension affects PD by enhancing bone loss even after the stimulus for PD induction is removed. Ligature-induced PD was created on the first mandibular molars of spontaneously hypertensive rats (SHR) and normotensive rats (Wistar Kyoto-WKY). The animals were assigned to non-ligated controls (C) and PD groups: WKY-C, WKY-PD, SHR-C, and SHR-PD. After 10 days, five animals of each group were killed and the ligatures of the other animals were removed. On the 21st day (11 days without PD induced), the remaining animals were killed. The jaws were defleshed and the amount of bone loss was measured. After 10 days, the PD groups showed more bone loss than its controls (P < .05); SHR-PD = 0.72 ± 0.05 mm, SHR-C = 0.39 ± 0.04 mm, WKY-PD = 0.75 ± 0.04 mm, and WKY-C = 0.56 ± 0.04 mm. The cumulative bone loss on day 21 (0.94 ± 0.13 mm) was significantly worse than on day 10 only in SHR-PD group (P < .05). The final bone loss differences between PD and C groups accounted for 102% (SHR) and 26% (WKY) increase in comparison with the initial control levels. Hypertension is associated with progressive alveolar bone loss even when the stimulus for PD induction is removed and it may be speculated that host condition perpetuates alveolar bone loss. © 2013 Informa Healthcare USA, Inc.

Heterogeneous demand and market segmentation: the Argentine pension funds system

Includes bibliography

Anatomia topográfica e comportamento arterial do pâncreas em cágados Trachemys scripta elegans (wied, 1838)

The turtle Trachemys scripta elegans popularly known as American tiger water are native regions winged Florida and Mississippi, in the United States. We used twenty (20) turtles (Trachemys scripta elegans), adult males and females, which were euthanized under Resolution 714 of June 20, 2002 the Federal Council of Veterinary Medicine (CFMV). After euthanasia were identified aortas right and left to the injection of Neoprene latex 450, stained with specific pigment. To obtain the vinyl mold aorta was injected through the right and left vinyl acetate, followed by corrosion in sulfuric acid. It was observed that the pancreas is closely related to the liver, gizzard, gall bladder, and duodenum. His face cranial this distal region of the pylorus, while its caudal along the cranial region of the duodenum. Anatomically, the pancreas is an elongated body structure featuring a lightly lobed. As to the pancreas arterial vasculature is flushed in its transverse plane of two arteries arising from the celiac artery, and each antimere two pancreaticoduodenal artery in the cranial region, close to the pylorus by the pancreaticoduodenal artery flow in the caudal portion along the duodenum.

Unsupervised segmentation method for cuboidal cell nuclei in histological prostate images based on minimum cross entropy

This paper presents a novel segmentation method for cuboidal cell nuclei in images of prostate tissue stained with hematoxylin and eosin. The proposed method allows segmenting normal, hyperplastic and cancerous prostate images in three steps: pre-processing, segmentation of cuboidal cell nuclei and post-processing. The pre-processing step consists of applying contrast stretching to the red (R) channel to highlight the contrast of cuboidal cell nuclei. The aim of the second step is to apply global thresholding based on minimum cross entropy to generate a binary image with candidate regions for cuboidal cell nuclei. In the post-processing step, false positives are removed using the connected component method. The proposed segmentation method was applied to an image bank with 105 samples and measures of sensitivity, specificity and accuracy were compared with those provided by other segmentation approaches available in the specialized literature. The results are promising and demonstrate that the proposed method allows the segmentation of cuboidal cell nuclei with a mean accuracy of 97%. © 2013 Elsevier Ltd. All rights reserved.

Automatic segmentation and classification of human intestinal parasites from microscopy images

Human intestinal parasites constitute a problem in most tropical countries, causing death or physical and mental disorders. Their diagnosis usually relies on the visual analysis of microscopy images, with error rates that may range from moderate to high. The problem has been addressed via computational image analysis, but only for a few species and images free of fecal impurities. In routine, fecal impurities are a real challenge for automatic image analysis. We have circumvented this problem by a method that can segment and classify, from bright field microscopy images with fecal impurities, the 15 most common species of protozoan cysts, helminth eggs, and larvae in Brazil. Our approach exploits ellipse matching and image foresting transform for image segmentation, multiple object descriptors and their optimum combination by genetic programming for object representation, and the optimum-path forest classifier for object recognition. The results indicate that our method is a promising approach toward the fully automation of the enteroparasitosis diagnosis. © 2012 IEEE.