Music and faith: The religious scene in the Brazilian phonographic market

This text discusses the phonographic segment of religious music in Brazil in its two main manifestations, linked respectively to the Catholic and Protestant traditions. The text offers a brief history of both traditions, as well as a description of their main recording companies and artists of greatest prominence. In its final part. the text presents the strategies that bring together recording companies and independent artists, as well as ponders over Brazil`s independent musical production as a whole.

Crowd scene during Ky visit to Brisbane

Crowd scene during visit of former South Vietnamese vice president Nguyen Cao Ky to Brisbane, Australia in January 1967.

What's scene and not seen: Influences of movement and task upon what we see

Studies concerning the processing of natural scenes using eye movement equipment have revealed that observers retain surprisingly little information from one fixation to the next. Other studies, in which fixation remained constant while elements within the scene were changed, have shown that, even without refixation, objects within a scene are surprisingly poorly represented. Although this effect has been studied in some detail in static scenes, there has been relatively little work on scenes as we would normally experience them, namely dynamic and ever changing. This paper describes a comparable form of change blindness in dynamic scenes, in which detection is performed in the presence of simulated observer motion. The study also describes how change blindness is affected by the manner in which the observer interacts with the environment, by comparing detection performance of an observer as the passenger or driver of a car. The experiments show that observer motion reduces the detection of orientation and location changes, and that the task of driving causes a concentration of object analysis on or near the line of motion, relative to passive viewing of the same scene.

The Gothic scene of international relations: ghosts, monsters, terror and the sublime after September 11

Accepting Furet’s claim that events acquire meaning and significance only in the context of narratives, this article argues that a particular type of international relations narrative has emerged with greater distinction after the traumatic experience of September 11: the gothic narrative. In a sense the political rhetoric of President Bush marks the latest example of America’s fine tradition in the gothic genre that began with Edgar Allan Poe and Nathaniel Hawthorne and extends through Henry James to Stephen King. His discourse of national security, it will be shown, assumes many of the predicates of gothic narratives. The gothic scenes evoked by Bush as much as Poe involve monsters and ghosts in tenebrous atmospheres that generate fear and anxiety, where terror is a pervasive tormentor of the senses. Poe’s narratives, for example, turn on encounters with dark, perverse, seemingly indomitable, forces often entombed in haunted houses. Similarly, Bush’s post-September 11 narratives play upon fears of terrorists and rogue states who are equally dark, perverse and indomitable forces. In both cases, ineffable and potently violent and cruel forces haunt and terrorise the civilised, human world.

Brazil's rise on the international scene: Brazil and the World

Since Cardoso and during Lula's Administration, the international order has undergone significant changes. These changes have allowed the Brazilian foreign policy to mitigate internal effects of an order established by others and, at the same time, to become an active participant in the formulation of the new order. To democratize globalization became the mainspring of Brazilian foreign policy. In the scope, President Lula has maintained the tradition of formulating and programming foreign policy as a State policy, and also has fostered the logistic strategy of incorporation of Brazil into the international scene.

The dark side of DEMMON: what is behind the scene in engineering large-scale wireless sensor networks

Most research work on WSNs has focused on protocols or on specific applications. There is a clear lack of easy/ready-to-use WSN technologies and tools for planning, implementing, testing and commissioning WSN systems in an integrated fashion. While there exists a plethora of papers about network planning and deployment methodologies, to the best of our knowledge none of them helps the designer to match coverage requirements with network performance evaluation. In this paper we aim at filling this gap by presenting an unified toolset, i.e., a framework able to provide a global picture of the system, from the network deployment planning to system test and validation. This toolset has been designed to back up the EMMON WSN system architecture for large-scale, dense, real-time embedded monitoring. It includes network deployment planning, worst-case analysis and dimensioning, protocol simulation and automatic remote programming and hardware testing tools. This toolset has been paramount to validate the system architecture through DEMMON1, the first EMMON demonstrator, i.e., a 300+ node test-bed, which is, to the best of our knowledge, the largest single-site WSN test-bed in Europe to date.

Mercados emergentes en el escenario africano: oportunidades y desafíos para la política exterior argentina. Emergent markets in the African scene: opportunities and challenges for the Argentine foreign policy.

Este trabajo parte de la inquietud de cómo organizar y articular los recursos diplomáticos, económicos, tecnológicos y culturales que cuenta la Argentina en África, para incentivar e incrementar las vinculaciones entre ambas regiones. Teniendo en cuenta los nuevos escenarios emergentes del espacio africano y los lineamientos de política exterior ensayados por nuestro país en los últimos años, nuestro período de análisis se concentrará entre los años 2002 y 2007. Sostenemos que el desarrollo de una estrategia articulada y permanente hacia el África requiere un aprovechamiento más eficaz y eficiente de los recursos humanos, financieros y tecnológicos existentes. De esto modo, la Argentina podría posicionarse como un socio relevante en la agenda de los países africanos, proveyendo productos, tecnología y servicios a mercados complementarios y en expansión. El objetivo general del proyecto es reconocer las transformaciones recientes del diseño exterior argentino hacia los mercados emergentes, en particular hacia África.El abordaje de esta investigación tiene características tanto cualitativas como cuantitativas, al tiempo que pretende alcanzar un nivel de explicación debido al tipo de propuesta. Nuestras unidades de observación son aquellas instituciones y personalidades vinculadas a la elaboración e implementación de la política exterior de Argentina hacia los estados africanos en su conjunto (tanto de África Subsahariana como de África del Norte). En cuanto a las técnicas aplicadas se pueden reconocer diversas fases. En primera instancia se llevará adelante una exploración documental en la Cancillería argentina destinada a cubrir los principales lineamientos respecto al tema. Luego se revisarán documentos producidos por organismos privados y por investigadores científicos. Al mismo tiempo se realizarán entrevistas semiestructuradas a los actores claves que participaron en el proceso de toma de decisiones.Con este trabajo nos proponemos concretar un manual que contenga de forma sistemática las normativas y las prácticas que ejercen cada uno de los actores, tanto públicos como privados, en torno a las vinculaciones entre Argentina y los países de África. Este ordenamiento nos permitirá ofrecer a los responsables de tomas de decisiones un marco articulado, accesible y didáctico para el diseño y la ejecución de futuras políticas hacia la región. Actualmente, los lazos políticos, culturales y de cooperación entre los países de ambas regiones manifiestan un creciente dinamismo, poniendo en juego nuevos terrenos de colaboración como las Cumbres América del Sur-África, las reuniones inter-ministeriales, la firma de acuerdos de comercio entre el Mercosur y algunos estados africanos, entre otros. Sin embargo a pesar de estas señales auspiciosas, los mercados africanos no han sido explorados con la suficiente constancia y profundidad. El desarrollo de este proyecto permitirá, en primer lugar, constituir un corpus de información sobre las normativas y las prácticas en torno los vínculos argentino-africanos. Por otro lado, será una herramienta indispensable para la planificación y concreción de futuras políticas en torno al área. Cabe aclarar que no se limita a organismos del Estado sino también involucraría a actores privados implicados o interesados con los mercados emergentes africanos.

Conference scene: Immune signatures in the tumor and beyond.

Led by key opinion leaders in the field, the Cancer Immunotherapy Consortium of the Cancer Research Institute 2012 Scientific Colloquium included 179 participants who exchanged cutting-edge information on basic, clinical and translational cancer immunology and immunotherapy. The meeting revealed how rapidly this field is advancing. The keynote talk was given by Wolf H Fridman and it described the microenvironment of primary and metastatic human tumors. Participants interacted through oral presentations and panel discussions on topics that included host reactions in tumors, advances in imaging, monitoring therapeutic immune modulation, the benefit and risk of immunotherapy, and immune monitoring activities. In summary, the annual meeting gathered clinicians and scientists from academia, industry and regulatory agencies from around the globe to interact and exchange important scientific advances related to tumor immunobiology and cancer immunotherapy.

Scene classifier for real time road detection

L’objectiu principal del projecte és el de classificar escenes de carretera en funció del contingut de les imatges per així poder fer un desglossament sobre quin tipus de situació tenim en el moment. És important que fixem els paràmetres necessaris en funció de l’escenari en què ens trobem per tal de treure el màxim rendiment possible a cada un dels algoritmes. La seva funcionalitat doncs, ha de ser la d’avís i suport davant els diferents escenaris de conducció. És a dir, el resultat final ha de contenir un algoritme o aplicació capaç de classificar les imatges d’entrada en diferents tipus amb la màxima eficiència espacial i temporal possible. L’algoritme haurà de classificar les imatges en diferents escenaris. Els algoritmes hauran de ser parametritzables i fàcilment manejables per l’usuari. L’eina utilitzada per aconseguir aquests objectius serà el MATLAB amb les toolboxs de visió i xarxes neuronals instal·lades.

Transfer factor for carbon monoxide: a glance behind the scene.

The transfer factor for carbon monoxide (TLCO) is widely used in pulmonary function laboratories because it represents a unique non-invasive window on pulmonary microcirculation. The TLCO is the product of two primary measurements, the alveolar volume (VA) and the CO transfer coefficient (KCO). This test is most informative when VA and KCO are examined, together with their product TLCO. In a normal lung, a low VA due to incomplete expansion is associated with an elevated KCO, resulting in a mildly reduced TLCO. Thus, in case of low VA, a seemingly "normal KCO" must be interpreted as an abnormal gas transfer. The most common clinical conditions associated with an abnormal TLCO are characterised by a limited number of patterns for VA and KCO: incomplete lung expansion, discrete loss of alveolar units, diffuse loss of alveolar units, emphysema, pulmonary vascular disorders, high pulmonary blood volume, alveolar haemorrhage.

Scene Classification Using a Hybrid Generative/Discriminative Approach

We investigate whether dimensionality reduction using a latent generative model is beneficial for the task of weakly supervised scene classification. In detail, we are given a set of labeled images of scenes (for example, coast, forest, city, river, etc.), and our objective is to classify a new image into one of these categories. Our approach consists of first discovering latent ";topics"; using probabilistic Latent Semantic Analysis (pLSA), a generative model from the statistical text literature here applied to a bag of visual words representation for each image, and subsequently, training a multiway classifier on the topic distribution vector for each image. We compare this approach to that of representing each image by a bag of visual words vector directly and training a multiway classifier on these vectors. To this end, we introduce a novel vocabulary using dense color SIFT descriptors and then investigate the classification performance under changes in the size of the visual vocabulary, the number of latent topics learned, and the type of discriminative classifier used (k-nearest neighbor or SVM). We achieve superior classification performance to recent publications that have used a bag of visual word representation, in all cases, using the authors' own data sets and testing protocols. We also investigate the gain in adding spatial information. We show applications to image retrieval with relevance feedback and to scene classification in videos

Intelligence-led crime scene processing. Part II : Intelligence and crime scene examination

A better integration of the information conveyed by traces within intelligence-led framework would allow forensic science to participate more intensively to security assessments through forensic intelligence (part I). In this view, the collection of data by examining crime scenes is an entire part of intelligence processes. This conception frames our proposal for a model that promotes to better use knowledge available in the organisation for driving and supporting crime scene examination. The suggested model also clarifies the uncomfortable situation of crime scene examiners who must simultaneously comply with justice needs and expectations, and serve organisations that are mostly driven by broader security objectives. It also opens new perspective for forensic science and crime scene investigation, by the proposal to follow other directions than the traditional path suggested by dominant movements in these fields.

Object and Scene Classification: what does a Supervised Approach Provide us?

Given a set of images of scenes containing different object categories (e.g. grass, roads) our objective is to discover these objects in each image, and to use this object occurrences to perform a scene classification (e.g. beach scene, mountain scene). We achieve this by using a supervised learning algorithm able to learn with few images to facilitate the user task. We use a probabilistic model to recognise the objects and further we classify the scene based on their object occurrences. Experimental results are shown and evaluated to prove the validity of our proposal. Object recognition performance is compared to the approaches of He et al. (2004) and Marti et al. (2001) using their own datasets. Furthermore an unsupervised method is implemented in order to evaluate the advantages and disadvantages of our supervised classification approach versus an unsupervised one

Generalized linear and generalized additive models in studies of species distributions: setting the scene

An important statistical development of the last 30 years has been the advance in regression analysis provided by generalized linear models (GLMs) and generalized additive models (GAMs). Here we introduce a series of papers prepared within the framework of an international workshop entitled: Advances in GLMs/GAMs modeling: from species distribution to environmental management, held in Riederalp, Switzerland, 6-11 August 2001.We first discuss some general uses of statistical models in ecology, as well as provide a short review of several key examples of the use of GLMs and GAMs in ecological modeling efforts. We next present an overview of GLMs and GAMs, and discuss some of their related statistics used for predictor selection, model diagnostics, and evaluation. Included is a discussion of several new approaches applicable to GLMs and GAMs, such as ridge regression, an alternative to stepwise selection of predictors, and methods for the identification of interactions by a combined use of regression trees and several other approaches. We close with an overview of the papers and how we feel they advance our understanding of their application to ecological modeling.

Identification of geometrically consistent interest points for 3D scene reconstruction

We propose an algorithm that extracts image features that are consistent with the 3D structure of the scene. The features can be robustly tracked over multiple views and serve as vertices of planar patches that suitably represent scene surfaces, while reducing the redundancy in the description of 3D shapes. In other words, the extracted features will off er good tracking properties while providing the basis for 3D reconstruction with minimum model complexity