Abstract
In recent decades, the concept of urban metabolism has been widely applied at different scales. This paper proposes an optimization model, based on Data Envelopment Analysis, for the evaluation and benchmarking of countries' metabolism. The EU-28 countries are analyzed based on economic and environmental indicators, including the resources consumed (energy and materials) and environmental pressures (GHG emissions and waste) associated with the value-added from the economic activities. The empirical results produced a ranking of countries' based on their metabolic performance underlying the creation of wealth, along with the targets for the countries with lower metabolic performance. This new metabolic approach is a contribution to the design of policies for the promotion of sustainable and resilient services.

Abstract

Abstract
In this paper, we present a computationally efficient and fully parametric harmonic speech model that is suitable for real-time flexible frame-based analysis and synthesis implementation in the frequency domain. We carry out a performance comparison between this vocoder and similar ones, such as WORLD and HPMD. Then, a deliberate manipulation of the speaker's fundamental frequency micro-variations is performed in order to understand in which way it conveys prosodic and idiosyncratic information. We conclude our discussion by evaluating the impact of these manipulations through the realization of perceptual tests. © 2020 IEEE.

Abstract
According to the World Tourism Organization (UNWTO), in 2017 tourism had the greatest international growth in seven years, and in 2018, international tourism grew 5% reaching the mark of 1.4 billion, a figure reached two years earlier than predicted. At the same time, in the last 40 years, the video game industry has grown steadily, with games beginning to be seen as one of the primary sources of entertainment. However, there are still few studies analyzing the impact of advertising tourist destinations on digital platforms such as video games. The use of video games in the tourist context may be an inspirational tool, supporting the development of new advertising strategies for tourism marketing. Although the connection between tourism and cinema is widely documented, little research has demonstrated a credible correlation between video games and tourists' attitude towards destinations.

Abstract
Este artigo objetiva analisar a disponibilização de ferramentas de comunicação e interatividade, a partir da aplicação da Lei Federal 12.527 de 2011, conhecida como a lei de acesso à informação (LAI) no Brasil. A utilização da Internet passou a ser um canal obrigatório de comunicação e às instituições públicas precisam realizar ações de adequação à lei, bem como a integração com contexto ainda crescente da web 2.0. De acordo com os resultados deste estudo, a opção de compartilhamento das informações nas redes sociais ainda é pouco disponibilizada. O uso do chat para tirar dúvidas em tempo real não foi verificado em nenhum dos portais pesquisados, no entanto a maioria dos portais disponibiliza um formulário de fale conosco ou um email para contato. Os cidadãos passam a ter novas opções de acesso, no entanto, à questão da interatividade ainda tem muitas oportunidades de melhorias.

Abstract
Data are growing fast in today's world and great portion of that is in the form of stream. In many situations, data streams are imbalanced making it difficult to use with classical data mining methods. However, mining these special kinds of streams is one of the most attractive research area. In this paper, we propose two algorithms for learning from imbalanced regression data streams. Both methods are based on Chebychev's inequality but in a different way. The first method, under-samples from the frequent target value examples while the second method over-samples the rare and extreme target value examples. This way, the learner will focus in the rare and more difficult cases. We applied our methods to train regression models using two benchmark datasets and two well-known regression algorithms: Perceptron and FIMT-DD. Our obtained results from the simulations indicate the usefulness of our proposed methods.