Abstract
In this paper we present Qualia, a software for real-time generation of graphical scores driven by the audio analysis of the performance of a group of musicians. With Qualia, the composer analyses and maps the flux of data to specific score instructions, thus, becoming part of the performance itself. Qualia is intended for collaborative performances. In this context, the creative process to compose music not only challenges musicians to improvise collaboratively through active listening, as typical, but also requires them to interpret graphical instructions provided by Qualia. The performance is then an interactive process based on “feedback” between the sound produced by the musicians, the flow of data managed by the composer and the corresponding graphical output interpreted by each musician. Qualia supports the exploration of relationships between composition and performance, promoting engagement strategies in which musicians participate actively using their instrument. © 2017 Manuel Brásio et al. This is an open-access article dis- tributed under the terms of the Creative Commons Attribution License 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Abstract
O principal objetivo do artigo é apresentar as linhas gerais da importância da indústria petrolífera para a Venezuela a partir do estudo da tentativa de expansão produtiva e urbana em direção à faixa centro-oriental do território nacional sob os objetivos do Projeto Socialista do Orinoco (PSO). Baseado em revisão da literatura e análise de dados secundários, o trabalho discute a proposta de adensamento urbano e diversificação produtiva comandada pela grande indústria de petróleo, assinalando seus objetivos, suas características e os desafios enfrentados. O texto conclui que a proposta de crescimento econômico e diversificação, baseada na indústria de petróleo, mostrou-se frágil pela alta dependência inicial à conjuntura internacional favorável e por não conseguir superar problemas estruturais crônicos de longa data que afetam o país, tal como a valorização cambial, que atua no desestímulo à substituição de importações.

Abstract
The introduction of metallic nanostructures in optical fibers has revolutionized the field of plasmonic sensors since they produce sharper and fine-tuned resonances resulting in higher sensitivities and resolutions. This article evaluates the performance of three different plasmonic optical fiber sensors based on D-type and suspended core fibers with metallic nanowires. It addresses how their different materials, geometry of the components, and their relative position can influence the coupling between the localized plasmonic modes and the guided optical mode. It also evaluates how that affects the spatial distributions of optical power of the different modes and consequently their overlap and coupling, which ultimately impacts the sensor performance. In this work, we use numerical simulations based on finite element methods to validate the importance of tailoring the features of the guided optical mode to promote an enhanced coupling with the localized modes. The results in terms of sensitivity and resolution demonstrate the advantages of using suspended core fibers with metallic nanowires.

Abstract
In this article we present beatings, a web application for the exploration of tuning and temperaments which pays particular attention to auditory phenomena resulting from the interaction of the spectral components of a sound, and in particular to the pitch fusion and the amplitude modulations occurring between the spectral peaks a critical bandwidth apart. By providing a simple, yet effective, visualization of the temporal evolution of this auditory phenomena we aim to foster new research in the pursuit of perceptually grounded principles explaining Western tonal harmonic syntax, as well as provide a tool for musical practice and education, areas where the old art of musical tunings and temperaments, with the notable exception of early music studies, appears to have long been neglected in favour of the practical advantages of equal temperament. Copyright: © 2016 Rui Penha et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract
This article discusses a method that performs gesture recognition, with the objective of extracting characteristics of the segmented hand, from dynamic images captured from a webcam and identifying signal patterns. With this method it is possible to manipulate simulated multirobots that perform specific movements. The method consists of the Continuously Adaptive Mean-SHIFT algorithm, followed by the Threshold segmentation algorithm and Deep Learning through Boltzmann restricted machines. As a result, an accuracy of 82.2%. © CLAWAR Association.