Technical and documentary language by brazilian eduardo coutinho

1. Introducción. Eduardo Coutinho representa el desarrollo y la innovación del documental brasileño. Todavía, su trayectoria es marcada por una técnica novedosa de entrevistas con los participantes, además de la mezcla del documental con otras técnicas comunicacionales, especialmente la ficción y el periodismo. Este artículo ofrece una recuperación de la trayectoria de Coutinho y de sus principales obras. 2. Método. Se aplica una investigación bibliográfica y una análisis de discurso fílmico para comprender la trayectoria y los lenguajes adoptados por Coutinho durante su carrera como documentalista. 3. Quien fue. Antes de actuar como documentalista, Coutinho ha estudiado Derecho pero siempre actuó con teatro y artes visuales. Esa discusión presenta Coutinho antes de los documentales. 4. Encuadres de Eduardo Coutinho. Las principales obras del documentalista son presentadas, así como sus características importantes que transforman la filmografía del director en una de las más importantes de Brasil. 5. Conclusiones. Se concluye que Eduardo Coutinho ha dejado un hueco en el documental brasileño, desde su muerte en 2014. Sin embargo, sus contribuciones son transformaron el género, como presentado en los resultados del artículo.1. Introduction. Eduardo Coutinho represents the development and innovation of the Brazilian documentary. His career is still marked by a novel technique of interviews with participants also mix documentary with other communication techniques, especially fiction and journalism. This article provides a recovery path Coutinho and his major works. 2. Method. A literature review and analysis of filmic discourse is applied to understand the history and languages adopted by Coutinho during his career as a documentary. 3. Who was. Before acting as a documentary, Coutinho has studied law but always acted in theater and visual arts. This discussion presents Coutinho before documentaries. Frames by Eduardo Coutinho. The main works of the documentary are presented, as well as its important features that transform the filmography of director in one of the most important in Brazil. Conclusions. We conclude that Eduardo Coutinho has left a gap in the Brazilian documentary, since his death in 2014. However, their contributions are transformed the genre, as the results presented in the article. © 2015, University of La Laguna. All rights reserved

Instagram as a network of promotion and hypermediation of rural tourism: the case of Aldeias Históricas

Los cambios en el ecosistema mediático han provocado transformaciones en los lenguajes comunicacionales, ahora en espacios imagéticos como el Instagram, incluso fortaleciendo la hipermediación proporcionada por las redes sociales. El artículo presenta una investigación métrica sobre la utilización del Instragram por la iniciativa portuguesa Aldeias Históricas en búsqueda de promoción turística de la región. Para la investigación, se ha adoptada la herramienta InstaBro, que ofreció informaciones para un análisis de carácter cuantitativo, pero también una interpretación cualitativa. Los resultados ofrecen informaciones hacia la importancia de la hipermediación en procesos de promoción del turismo rural a través de la comunicación digital.Changes in the media ecosystem have led to transformations in communication languages, now in imaginary spaces like Instagram, even strengthening the hypermediation provided by social networks. The article presents a metric research on the use of the Instragram by the Portuguese initiative Aldeias Históricas in search of tourism promotion in the region. For the investigation, the InstaBro tool has been adopted, which offered information for a quantitative analysis, but also a qualitative interpretation. The results offer information about the importance of hypermediation in rural tourism promotion processes through digital communication.publishe

Tick size and price diffusion

A tick size is the smallest increment of a security price. It is clear that at the shortest time scale on which individual orders are placed the tick size has a major role which affects where limit orders can be placed, the bid-ask spread, etc. This is the realm of market microstructure and there is a vast literature on the role of tick size on market microstructure. However, tick size can also affect price properties at longer time scales, and relatively less is known about the effect of tick size on the statistical properties of prices. The present paper is divided in two parts. In the first we review the effect of tick size change on the market microstructure and the diffusion properties of prices. The second part presents original results obtained by investigating the tick size changes occurring at the New York Stock Exchange (NYSE). We show that tick size change has three effects on price diffusion. First, as already shown in the literature, tick size affects price return distribution at an aggregate time scale. Second, reducing the tick size typically leads to an increase of volatility clustering. We give a possible mechanistic explanation for this effect, but clearly more investigation is needed to understand the origin of this relation. Third, we explicitly show that the ability of the subordination hypothesis in explaining fat tails of returns and volatility clustering is strongly dependent on tick size. While for large tick sizes the subordination hypothesis has significant explanatory power, for small tick sizes we show that subordination is not the main driver of these two important stylized facts of financial market.Comment: To be published in the "Proceedings of Econophys-Kolkata V International Workshop on "Econophysics of Order-driven Markets" March 9-13, 2010, The New Economic Windows series of Springer-Verlag Italia

Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research

SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) is a novel virus of the family Coronaviridae. The virus causesthe infectious disease COVID-19. The biology of coronaviruses has been studied for many years. However, bioinformaticstools designed explicitly for SARS-CoV-2 have only recently been developed as a rapid reaction to the need for fast detection,understanding and treatment of COVID-19. To control the ongoing COVID-19 pandemic, it is of utmost importance to getinsight into the evolution and pathogenesis of the virus. In this review, we cover bioinformatics workflows and tools for theroutine detection of SARS-CoV-2 infection, the reliable analysis of sequencing data, the tracking of the COVID-19 pandemicand evaluation of containment measures, the study of coronavirus evolution, the discovery of potential drug targets anddevelopment of therapeutic strategies. For each tool, we briefly describe its use case and how it advances researchspecifically for SARS-CoV-2.Fil: Hufsky, Franziska. Friedrich Schiller University Jena; AlemaniaFil: Lamkiewicz, Kevin. Friedrich Schiller University Jena; AlemaniaFil: Almeida, Alexandre. the Wellcome Sanger Institute; Reino UnidoFil: Aouacheria, Abdel. Centre National de la Recherche Scientifique; FranciaFil: Arighi, Cecilia. Biocuration and Literature Access at PIR; Estados UnidosFil: Bateman, Alex. European Bioinformatics Institute. Head of Protein Sequence Resources; Reino UnidoFil: Baumbach, Jan. Universitat Technical Zu Munich; AlemaniaFil: Beerenwinkel, Niko. Universitat Technical Zu Munich; AlemaniaFil: Brandt, Christian. Jena University Hospital; AlemaniaFil: Cacciabue, Marco Polo Domingo. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación En Ciencias Veterinarias y Agronómicas. Instituto de Agrobiotecnología y Biología Molecular. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Agrobiotecnología y Biología Molecular; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Chuguransky, Sara Rocío. European Bioinformatics Institute; Reino Unido. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Drechsel, Oliver. Robert Koch-Institute; AlemaniaFil: Finn, Robert D.. Biocurator for Pfam and InterPro databases; Reino UnidoFil: Fritz, Adrian. Helmholtz Centre for Infection Research; AlemaniaFil: Fuchs, Stephan. Robert Koch-Institute; AlemaniaFil: Hattab, Georges. University Marburg; AlemaniaFil: Hauschild, Anne Christin. University Marburg; AlemaniaFil: Heider, Dominik. University Marburg; AlemaniaFil: Hoffmann, Marie. Freie Universität Berlin; AlemaniaFil: Hölzer, Martin. Friedrich Schiller University Jena; AlemaniaFil: Hoops, Stefan. University of Virginia; Estados UnidosFil: Kaderali, Lars. University Medicine Greifswald; AlemaniaFil: Kalvari, Ioanna. European Bioinformatics Institute; Reino UnidoFil: von Kleist, Max. Robert Koch-Institute; AlemaniaFil: Kmiecinski, Renó. Robert Koch-Institute; AlemaniaFil: Kühnert, Denise. Max Planck Institute for the Science of Human History; AlemaniaFil: Lasso, Gorka. Albert Einstein College of Medicine; Estados UnidosFil: Libin, Pieter. Hasselt University; BélgicaFil: List, Markus. Universitat Technical Zu Munich; AlemaniaFil: Löchel, Hannah F.. University Marburg; Alemani

Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research

SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) is a novel virus of the family Coronaviridae. The virus causes the infectious disease COVID-19. The biology of coronaviruses has been studied for many years. However, bioinformatics tools designed explicitly for SARS-CoV-2 have only recently been developed as a rapid reaction to the need for fast detection, understanding and treatment of COVID-19. To control the ongoing COVID-19 pandemic, it is of utmost importance to get insight into the evolution and pathogenesis of the virus. In this review, we cover bioinformatics workflows and tools for the routine detection of SARS-CoV-2 infection, the reliable analysis of sequencing data, the tracking of the COVID-19 pandemic and evaluation of containment measures, the study of coronavirus evolution, the discovery of potential drug targets and development of therapeutic strategies. For each tool, we briefly describe its use case and how it advances research specifically for SARS-CoV-2. All tools are free to use and available online, either through web applications or public code repositories.Peer Reviewe