Wind resource assessment method for floating deep offshore wind turbines

This study presents a new methodology for the assessment of the wind energy resource at deep offshore locations where the use of floating wind turbines is foreseen. The wind resource assessment methodology developed follows the principles used by IEC 61400-12-1 standard in general and proposes the use of experimental data from a floating light detection and ranging (LIDAR) system on a deep offshore region – that assumes the role of the ‘temporary mast’ – and a coastal meteorological mast installed onshore acting as the ‘permanent met mast’. The methodology takes into consideration the time shift between the locations of the two measurement points and the wind direction associated with different atmospheric phenomena. The results obtained conclude that the methodology increases the accuracy of the wind resource assessment campaign while reducing the involved costs and technical risks. An added advantage is the possibility of extending this methodology for the evaluation of the power performance of floating wind turbines during the operational phase of the power plant

Adnexal Torsion

Adnexal torsion is a rare event whose diagnosis requires a high degree of suspicion since its presentation is clinical and laboratory nonspecific. Ultrasound constitute the first-line exam in the imaging evaluation and timely surgical treatment, with detorsion, is mandatory to allow the preservation of the structures involved. The effectiveness of preventive measures of recurrence is yet to be determined. In this paper, in addition to a literature review, the authors present a new imaging finding and propose a flowchart for therapeutic decision

Enhancing collective happiness in the city: Felicitas publica and the availability of relational goods

info:eu-repo/semantics/publishedVersio

Exploring events and distributed representations of text in multi-document summarization

In this article, we explore an event detection framework to improve multi-document summarization. Our approach is based on a two-stage single-document method that extracts a collection of key phrases, which are then used in a centrality-as-relevance passage retrieval model. We explore how to adapt this single-document method for multi-document summarization methods that are able to use event information. The event detection method is based on Fuzzy Fingerprint, which is a supervised method trained on documents with annotated event tags. To cope with the possible usage of different terms to describe the same event, we explore distributed representations of text in the form of word embeddings, which contributed to improve the summarization results. The proposed summarization methods are based on the hierarchical combination of single-document summaries. The automatic evaluation and human study performed show that these methods improve upon current state-of-the-art multi-document summarization systems on two mainstream evaluation datasets, DUC 2007 and TAC 2009. We show a relative improvement in ROUGE-1 scores of 16% for TAC 2009 and of 17% for DUC 2007.info:eu-repo/semantics/submittedVersio

Maturação Cervical com Sonda de Foley: Experiência de um Centro Terciário

Overview and Aims: In the presence of an unfavorable cervix, pre-induction cervical ripening is an important part of the labour induction process. Both mechanical and pharmacological methods are available for this purpose, with Foley catheter being the most commonly used mechanical method. We intend to describe the efficacy of Foley catheter for cervical ripening and to describe maternal and neonatal outcomes. Furthermore, we analyze the same results in high risk subgroups. Study Design: Retrospective observational study Population: 44 women with a singleton pregnancy, live fetus, cephalic presentation, intact membranes, with medical indication for labour induction and Bishop score ≤6. Methods: Medical records were reviewed and analyzed. Foley catheter was introduced until expulsion or for a maximum of 24 hours. Cervical ripening was considered effective when Bishop score after catheter was ≥8. Maternal outcomes considered were tachysystole, chorioamnionitis, post-partum bleeding and uterine rupture. Neonatal outcomes assessed were Apgar score, need for hospitalization in neonatal care unit and days of hospitalization. In the subgroup analysis, we divided the risk population in two subgroups: Group 1- Fetal growth restriction and/or oligohydramnios; Group 2- Previous caesarean section. Results: 72.7% of the labour inductions were indicated by maternal or fetal disease. The efficacy of cervical ripening was 65.9% and vaginal delivery rate was 63.6%. Regarding maternal and neonatal outcomes, there were only two cases (4.5%) of clinical chorioamnionitis. In subgroup analysis, the efficacy of cervical ripening and vaginal delivery rates were, respectively, 60.9% and 69.6% in Group 1 and 72.2% and 50% in Group 2.There was one case of chorioamnionitis in each subgroup. Conclusions: Foley catheter is an effective and safe method for cervical ripening. Due to its low association with adverse outcomes, it appears to be a good alternative for high-risk populations.info:eu-repo/semantics/publishedVersio

MARTA: A high-energy cosmic-ray detector concept with high-accuracy muon measurement

A new concept for the direct measurement of muons in air showers is presented. The concept is based on resistive plate chambers (RPCs), which can directly measure muons with very good space and time resolution. The muon detector is shielded by placing it under another detector able to absorb and measure the electromagnetic component of the showers such as a water-Cherenkov detector, commonly used in air shower arrays. The combination of the two detectors in a single, compact detector unit provides a unique measurement that opens rich possibilities in the study of air showers.Comment: 11 page

Mapeamento da cultura cafeeira por meio de classificação automática utilizando atributos espectrais, texturais e fator de iluminaçao.

O café, importante produto nas exportações brasileiras, necessita de constante monitoramento para que os sistemas de previsão de safras existentes sejam confiáveis. Imagens orbitais de média resolução espacial são ferramentas com grande potencial para mapeamento do uso do solo e identificação de culturas agrícolas. Nesta pesquisa, visando o mapeamento de áreas cafeeiras, avaliou-se o desempenho da classificação baseada em objetos, associada a técnicas de mineração de dados, aplicada em imagens OLI/Landsat-8. Foram feitas três classificações automáticas, a primeira constando exclusivamente atributos espectrais, a segunda acrescentando atributos texturais e a terceira, incluindo também classes de iluminação do terreno. Foram utilizadas seis imagens multiespectrais, datadas de três diferentes estádios fenológicos da cultura: frutificação, granação e repouso. A validação das classificações foi feita por meio do Método de Monte Carlo utilizando como referência mapas visualmente interpretados. As classificações feitas exclusivamente com atributos espectrais resultaram, para a classe café, exatidão média de 57%. Não houve estádio fenológico que proporcionasse maior exatidão à classe café, entretanto ao incluir os atributos texturais, a exatidão da classe café melhorou para 76%. Assim, observa-se que atributos texturais mostraram-se importantes para detecção automática de áreas cafeeiras.Título em inglês: Coffee crop detection by automatic classification using spectral and textural attributes and illumination factor

Semantically Aware Text Categorisation for Metadata Annotation

In this paper we illustrate a system aimed at solving a longstanding and challenging problem: acquiring a classifier to automatically annotate bibliographic records by starting from a huge set of unbalanced and unlabelled data. We illustrate the main features of the dataset, the learning algorithm adopted, and how it was used to discriminate philosophical documents from documents of other disciplines. One strength of our approach lies in the novel combination of a standard learning approach with a semantic one: the results of the acquired classifier are improved by accessing a semantic network containing conceptual information. We illustrate the experimentation by describing the construction rationale of training and test set, we report and discuss the obtained results and conclude by drawing future work.</p