Abstract-Existing works for semantic trajectory data analysis have focused on the intersection of trajectories with application important geographic information and the use of the speed to find interesting places. In this paper we present a novel approach to find interesting places in trajectories, considering the variation of the direction as the main aspect. The proposed approach has been validated with real trajectory data associated to oceanic fishing vessels, with the objective to automatically find the real places where vessels develop fishing activities. Results have demonstrated that the method is very appropriate for applications in which the direction variation plays the essential role.

PURPOSE.To evaluate the effects of the activation of endogenous angiotensin-converting enzyme 2 (ACE2) using the compound diminazene aceturate (DIZE) in an experimental model of glaucoma in Wistar rats.METHODS. DIZE (1 mg/kg) was administered daily, either systemically or topically, and the IOP was measured weekly. To examine the role of the Mas receptor in the effects of DIZE, the Ang-(1-7) antagonist A-779 was co-administered. Drainage of the aqueous humor was evaluated by using scintigraphy. The analysis of ACE2 expression by immunohistochemistry and the counting of retinal ganglion cells (RGCs) were performed in histologic sections. Additionally, the nerve fiber structure was evaluated by transmission electron microscopy. RESULTS.The systemic administration and topical administration (in the form of eye drops) of DIZE increased the ACE2 expression in the eyes and significantly decreased the IOP of glaucomatous rats without changing the blood pressure. Importantly, this IOP-lowering action of DIZE was similar to the effects of dorzolamide. The antiglaucomatous effects of DIZE were blocked by A-779. Histologic analysis revealed that the reduction in the number of RGCs and the increase in the expression of caspase-3 in the RGC layer in glaucomatous animals were prevented by DIZE. This compound also prevented alterations in the cytoplasm of axons in glaucomatous rats. In addition to these neuroprotective effects, DIZE facilitated the drainage of the aqueous humor. CONCLUSIONS.Our results evidence the pathophysiologic relevance of the ocular ACE2/Ang-(1-7)/Mas axis of the renin-angiotensin system and, importantly, indicate that the activation of intrinsic ACE2 is a potential therapeutic strategy to treat glaucoma.

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In Brazil, each region has its own cultural identity regarding accent, gastronomy, customs, all of which may reflect in its literature. Specially, we believe that country's background and contextual features are directly related to what people read. Hence, we perform a cross-state comparison analysis based on Brazilian reading preferences through a multipartite network model. Also, we explore the effects of socioeconomic and demographic factors on favorite books and writing genres. Such cross-state analyses highlight how the country is culturally rich, where each region has its own distinctive culture. Our findings offer great opportunities for the Brazilian book industry by enhancing current knowledge on social indicators related to reading preferences.

Data Science has become a trending research topic in Computer Science due to the growing interest in extracting knowledge from different data sources. In such a context, Jupyter Notebook has consolidated itself as one of the main tools used by data scientists to perform exploratory data analysis in a fast and straightforward way, with a high potential for code reproduction. Hence, this JAI aims to present Jupyter with reproducibility for developing Data Science projects. The content is tailored for students and professionals with some programming experience. In particular, we first introduce Jupyter and its general use to develop solutions for Data Science. Then, we present Jupyter advanced topics and address ways to promote open science. Finally, this JAI overviews Data Science with Jupyter Notebooks by combining concepts and theoretical foundations with practical examples and real-world data. ResumoCiência de Dados tornou-se um tópico de pesquisa emergente na Ciência da Computação devido ao crescente interesse em extrair conhecimento de diferentes fontes de dados. Nesse contexto, o Jupyter Notebook vem se consolidando como uma das principais ferramentas utilizadas por cientistas de dados para realizar análises exploratórias de dados de forma rápida e direta, com alto potencial de reprodução de código. Dessa forma, o objetivo deste capítulo é apresentar o Jupyter com reprodutibilidade para a realização de projetos em Ciência de Dados. O conteúdo é organizado para estudantes e profissionais com alguma experiência em programação. Em particular, primeiro apresentamos o Jupyter e seu uso geral para desenvolver soluções para Ciência de Dados. Em seguida, apresentamos tópicos avançados do Jupyter e abordamos maneiras de promover a ciência aberta. Para concluir, este JAI apresenta uma visão geral de Ciência de Dados com Jupyter Notebooks combinando conceitos e fundamentos teóricos com exemplos práticos e dados do mundo real.