Abstract. The aim of the current study was to evaluate the expression of vascular endothelial growth factor (VEGF) and the microvascular density in canine soft-tissue sarcomas. Immunohistochemistry for VEGF expression was performed on 20 canine neoplasms by the streptavidin-biotin-peroxidase method using an anti-VEGF mouse monoclonal antibody (ab-119). The volume fraction of microvessels in the sarcomas was quantified in hematoxylin and eosin-stained tissue sections. At least 10 fields of view (403 magnification) per neoplasm were analyzed by positioning a grid with 100 points and counting the microvessels that fell into the intersection points. This percentage was considered the volume fraction of these microvessels in the tumor section. VEGF expression was detected in 65% of the neoplasms. In 92.3% of the neoplasms, the expression occurred in the peritumor region; in 46.15%, in the intratumor region; and in 38.46%, the expression was present in both regions. The cells responsible for VEGF expression were fibroblasts and macrophages in the peritumor region or in the pseudocapsule and neoplastic cells in the intratumor region. Greater intratumoral VEGF was expressed in hemangiopericytomas (P 5 0.04). No difference was present in the volume fraction of tumor microvessels between VEGF-positive and VEGF-negative neoplasms (P 5 0.3416) or for the different types of neoplasms (P 5 0.5). The results of this study suggest that VEGF participates in the angiogenesis of soft-tissue sarcoma in dogs. Additional research will be necessary to elucidate the contribution of VEGF to the progression of malignancy.

No abstract

Purpose: To examine the language development at chronological age 2 to 3 years of children born preterm with low birth weight and its associated risk factors. Methods: In this cross-sectional study, children were assessed using the Denver Developmental Screening Test (Denver II test) and Early Language Milestone Scale (ELM scale). The chi-square test was used and all variables with p<0.20 were entered in a binary logistic regression model; statistical significance was set at p<0.05. Results:Among the 77 children studied, 36.4% had abnormal Denver II test performance in its four sectors and 37.6% had cautions and delays in the area of language specifically. On assessment of language ability by the ELM scale, 32.5% of the children showed altered responses. The abnormal performance of the four sectors of the Denver II and language in the ELM scale, after logistic regression, remained associated with suspected developmental abnormalities by parents (Denver II and ELM), weight less than 1500 g and caesarean section (Denver II only), and intracranial hemorrhage and family per capita income less than half the minimum wage (ELM only). Conclusion: Children born preterm with low birth weight showed delayed language development, with greater impairment in the expressive auditory function associated with socioeconomic risk factors and child's history. apresentaram cautelas e atrasos no setor da linguagem, especificamente na avaliação da habilidade de linguagem pela escala ELM, 32,5% das crianças apresentaram alterações. O desempenho alterado, considerando os quatro setores do teste de Denver II e da linguagem na escala ELM, após regressão logística, permaneceu associado com: suspeita dos pais de alterações no desenvolvimento (Denver II e ELM); peso <1500 g e cesariana (Denver II somente); hemorragia intracraniana e renda familiar mensal per capita ≤1/2 salário mínimo (ELM somente). Conclusão: KeywordsCrianças nascidas prematuras e com baixo peso apresentaram atraso na aquisição de habilidades no desenvolvimento da linguagem, com maior comprometimento da função auditiva expressiva, associado a fatores de risco socioeconômicos e de histórico.Descritores: Prematuro; Recém-nascido; Fatores de risco; Desenvolvimento da linguagem; Triagem

The purpose of this study was to create an unifying index of the PROESP-BR tests for school aged teenagers and propose a reduction in the physical fitness tests. A total of 414 adolescents between the ages of 15 and 17 years old, representative of the public school population in the city of Cuiaba were evaluated. The tests include general physical fitness, proposed by PROESP-BR. Multivariate factorial analysis was used, observing the commonality/ representativeness of each test with regard to the set, and the index was created for girls and boys. With this analysis we can choose to use the following tests: female-throwing medicine ball, horizontal jump and run 20 meters; malethrowing medicine ball, representing the overall performance. The created index was divided into quintiles and allowed you to view the whole performance of the six tests, as well as their distribution within the group and away from the ideal reference.

Polynomial model, Errors-in-variables, Hypothesis test, Corrected score,

The aim of the present study is to analyze how corporate sustainability reports address socio-environmental issues and business development through bibliometric analysis. The search led to 53 articles indexed in the ScienceDirect database between 2012 and 2017. A bibliometric analysis was applied to sustainability reports and to several topics, namely: “sustainability report” (SR) and “corporate sustainability” (CS), triple bottom line (TBL), eco-innovation in business (ECO), and “global reporting initiative” (GRI). The word cloud approach was applied to each keyword in the quantitative analysis. Annual publication frequency was applied to identify the year accounting for the largest number of publications. The target of the descriptive analysis applied to the sample was determined; it consists in metrically determining the frequency of each variable. The inferential analysis compared the means recorded for the subsets of the sample; it is a technique commonly used to investigate data. Friedman’s test was used to compare the behavior of the research groups. The keywords sustainability, business, reporting, environment, social, and performance were found. These words appeared in most of the analyzed articles; they represented the conceptual core of each topic involved in the “sustainability report” (SR). Based on the selected articles, companies surveyed over the years have incorporated sustainability concepts into their strategic planning to ensure the satisfaction and needs of future generations. The disclosure of information available in sustainability reports has become a marketing instrument that may clearly provide evidence of business activities or inactivity.

Introduction: Fat tissue accumulation provokes several metabolic disorders, which may be attenuated by dietetic modulation and physical exercise. Objective: The effects of hypercaloric/hyperlipidic diets with additional baru extract associated to aerobic exercise on adipocytes from different regions as well as on hepatic triglycerides (TGL hep )of Wistar rats were evaluated. Methods: The animals, except for the control ones (Nuvilab ® diet: 3.48kcal/g), were fed with a chocolate-based diet (4.17 kcal/g) during 2 months in order to induce obesity. The animals were then distributed into 6 groups, according to the introduction of baru extract diet as well as to swimming training: Sedentary Control (SC); Trained Control (TC); Sedentary Baru (SB); Trained Baru (TB); Sedentary Chocolate (SCho) and Trained Chocolate (TCho). The trained animals were subjected to swimming exercise supporting overload equivalent to 2% of body weight, during 8 weeks, 5x/week, and 1h/day. At the end, the animals were killed and the TGL hep content was determined. The retroperitoneal (RET), inguinal (IN), and omental (OM) fat tissues were excised, weighted, and submitted to adipocyte area evaluation. Results:The hypercaloric diet increased both body weight and cell areas of RET if compared to the control diet (P<0.05). The physical training decreased the OM (TCho: 6370.91 ± 7776.13 < SCho: 7341.28 ± 2.24 µm2) and IN (TCho: 5147.49 ± 5712.71 < SCho: 7083.11±7682.40 µm2) cell areas of chocolate group as well as IN cell areas of TC

The limitations of traditional classification methods based on port number and payload inspection to classify encrypted or obfuscated Internet traffic, often with randomized port numbers, have lead to significant research efforts focusing on classification approaches based on Machine Learning techniques using Transport Layer statistical features. However, these approaches also have their own limitations, leading to the study of a set of other alternative approaches, including statisticsbased approaches. Statistical approaches can be an alternative to machine learning, because in real-time traffic classification with new types of data, the entire traffic classifier has to be retrained in order to adapt to the new change by combining the old training data with the new training data. This article investigates the classification of encrypted traffic using statistical methods applied to network traffic classification. We propose two statistical classifiers for encrypted Internet traffic based on Kullback Leibler divergence and Euclidean distance, which are computed using the flow and packet size obtained from some of the protocols used by applications. In our experiments, we evaluate the two classifiers based on statistical methods and compare them with a classifier based on Support Vector Machine (SVM). During our study, we were able to classify the traffic by using few features without compromising the performance of the classifier. The experimental results illustrate the effectiveness of our models used for traffic classification.