NILC_USP: aspect extraction using semantic labels

This paper details the system NILC USP that participated in the Semeval 2014: Aspect Based Sentiment Analysis task. This system uses a Conditional Random Field (CRF) algorithm for extracting the aspects mentioned in the text. Our work added semantic labels into a basic feature set for measuring the efficiency of those for aspect extraction. We used the semantic roles and the highest verb frame as features for the machine learning. Overall, our results demonstrated that the system could not improve with the use of this semantic information, but its precision was increased.FAPES

BuscaOpinioes: searching for opinions over the internet

This paper describes the BuscaOpinioes website, a tool for searching for opinions over the internet. Our system uses Google search engine to retrieve reviews from the internet and a lexicon-based sentimento analysis approach to identify opinions in these reviews. A web interface is available to visualize the results as well as some statistics.FAPES

As paisagens crepusculares da ficção científica: a elegia das utopias urbanas do modernismo

As paisagens crepusculares da ficção científica: a elegia das utopias urbanas do modernismoJorge Luiz Barbosa,Niterói: Editora da UFF, 2013

Weight gain measured at 6 weeks after birth as a predictor for severe retinopathy of prematurity: study with 317 very low birth weight preterm babies

Recent studies suggest that postnatal weight gain can play an important role in the development of retinopathy of prematurity (ROP).To analyze the low weight gain (WG) from birth to 6 weeks of life to predict the development of severe retinopathy of prematurity (ROP) among very low birth weight preterm babies (VLBW).A prospective cohort study included 317 newborns with birth weight (BW) a parts per thousand currency sign1,500 g and gestational age (GA) a parts per thousand currency sign32 weeks. the main outcome was the development of severe ROP (defined as threshold ROP and higher stages of ROP). in all patients, the proportion of the WG was defined as the preterm weight measured at 6 weeks of life minus the BW divided by the BW. Seventeen risk factors for ROP were studied by univariate analysis. Chi-square test and Student's t-test were used to compare no-ROP/mild ROP patients and severe ROP patients. Logistic regression and receiver operating characteristic (ROC) curve were used to determine if the WG proportion was independently related to severe ROP development and if it was capable of predicting severe ROP. Ophthalmological examinations started between the fourth and sixth week of life, and were repeated until the 45th week of postmenstrual age. Weight gain proportion was always calculated at completed 6 weeks of life.Mean GA and mean BW of the whole cohort were 29.6 weeks (+/- 1.9) and 1,124 grams (+/- 239.5) respectively. After logistic regression, the low WG proportion under 51.2% from the BW, measured at 6 weeks of life, showed OR 3.007 (95%CI: 1.195-7.566; P = 0.019), for severe ROP, when adjusted for BW and for any stage intraventricular hemorrhage. Area under the ROC curve was 0.63 (95%CI: 0.495-0.761; P = 0.037). for the discriminative cutoff of 51.2% of the WG proportion, sensitivity and specificity values were 66.3% and 62.6% respectively. Positive and negative predictive values were 10.2% and 94.7% respectively.Low WG by six weeks of life is an important and independent risk factor for severe ROP and is capable to predict the development of severe ROP in most patients that needed treatment.Univ Fed Rio Grande do Sul, Sch Med, Dept Ophthalmol, BR-90035003 Porto Alegre, RS, BrazilHosp Clin Porto Alegre, BR-90035003 Porto Alegre, RS, BrazilUniv Fed Rio Grande do Sul, Dept Pediat, Newborn Sect, BR-90035003 Porto Alegre, RS, BrazilUniversidade Federal de São Paulo, Sch Med, Dept Ophthalmol, São Paulo, BrazilUniversidade Federal de São Paulo, Sch Med, Dept Ophthalmol, São Paulo, BrazilWeb of Scienc

REFLEXÕES SOBRE REPRESENTAÇÕES ESPACIAIS DE ÁRVORES DE RUA EM AMBIENTE DE SISTEMA DE INFORMAÇÕES GEOGRÁFICAS

Estudos sobre arborização viária no Brasil ainda são recentes, por tratar-se de uma prática relativamente nova, tendo em vista a complexidade que envolve o planejamento da arborização urbana, se faz necessário a utilização de ferramentas que possam subsidiar essa atividade. Desta forma o Sistema de Informações Geográficas se tornou uma ferramenta base para o planejamento da arborização urbana, por meio dele é possível obter suporte espacial e fazer consultas referentes ao manejo e monitoramento das árvores de rua. Atualmente utiliza-se a representação da unidade espacial “árvore” em ambiente SIG, como uma representação espacial pontual ou até mesmo poligonal em função da escala de trabalho. Esse modelo atende à representação dos objetos para associação a bancos de dados, porém, apresentam dificuldades do ponto de vista de implementação em função da quantidade de objetos a serem associados ao manejo das árvores, o qual é voltado normalmente para grupos de árvores, sujeitas às mesmas condições de manejo. Assim sendo, a individualização das árvores de rua pode não ser a melhor forma de organizar um modelo espacial em SIG. Este estudo propõe apresentar reflexões sobre um sistema de representação linear de árvores de rua como alternativa para espacializar unidades de manejo em ambiente SIG

18F-FDG measurement in primary lung cancer: SUV normalization to different distribution volumes

Introduction: Standard Uptake Value (SUV) is a measurement of the uptake in a tumour normalized on the basis of a distribution volume and is used to quantify 18F-Fluorodeoxiglucose (FDG) uptake in tumors, such as primary lung tumor. Several sources of error can affect its accuracy. Normalization can be based on body weight, body surface area (BSA) and lean body mass (LBM). The aim of this study is to compare the influence of 3 normalization volumes in the calculation of SUV: body weight (SUVW), BSA (SUVBSA) and LBM (SUVLBM), with and without glucose correction, in patients with known primary lung tumor. The correlation between SUV and weight, height, blood glucose level, injected activity and time between injection and image acquisition is evaluated. Methods: Sample included 30 subjects (8 female and 22 male) with primary lung tumor, with clinical indication for 18F-FDG Positron Emission Tomography (PET). Images were acquired on a Siemens Biography according to the department’s protocol. Maximum pixel SUVW was obtained for abnormal uptake focus through semiautomatic VOI with Quantification 3D isocontour (threshold 2.5). The concentration of radioactivity (kBq/ml) was obtained from SUVW, SUVBSA, SUVLBM and the glucose corrected SUV were mathematically obtained. Results: Statistically significant differences between SUVW, SUVBSA and SUVLBM and between SUVWgluc, SUVBSAgluc and SUVLBMgluc were observed (p=0.000<0.05). The blood glucose level showed significant positive correlations with SUVW (r=0.371; p=0.043) and SUVLBM (r=0.389; p=0.034). SUVBSA showed independence of variations with the blood glucose level. Conclusion: The measurement of a radiopharmaceutical tumor uptake normalized on the basis of different distribution volumes is still variable. Further investigation on this subject is recommended