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Este artigo tem como objetivo propor uma análise da fotoperformance “BanqueteComidaCorpoCorpoComida”, desenvolvida pelo coletivo Fotocuir, grupo formado como parte do projeto de pesquisa Fotoperformance: Ação, Criação, Arte, Ativismo, Trânsitos Coletivos Contemporâneos entre os anos 2013-2016, na Universidade Estadual de Londrina, sob a coordenação da artista visual e performer Fernanda Magalhães. Com o objetivo de questionar padrões de comensalidade e sexualidade por meio da arte, o coletivo pensou e performou um banquete, no qual as pessoas (artistas e público) vestiam-se de comida e devoravam-se, de acordo com as preferências sexuais e alimentares de cada um. No artigo, o processo de construção dessa performance é exposto, com base nos relatos de Fernanda Magalhães e de outras participantes do coletivo. A análise é realizada tendo como base algumas discussões sobre estudos e arte queer, assim como ancora-se em reflexões dos estudos de performance e antropologia da arte.

A PROA completa dez anos de publicações e nesse texto alguns dos fundadores falam sobre os primeiros anos da revista.

We present the Machine Teaching, an online learning environment with two main goals: (1) supporting student practicing and exercise marking; and most important, (2) collecting data on students’ knowledge while they progress. Machine teaching was key to bringing programming courses to online learning during the 2020 pandemic, helping educators provide a safe and smooth online practice environment for students and helping them to master programming skills in early stages of their bachelor’s degree studies, a skill that increases the possibilities for immediate job placement. In addition, the educational data collected are mined and used to support short- and long-term pedagogical decision-making, allowing for a quick feedback and enabling material adaptations for the classes offered in the remote mode.

Brazil is one of the largest video game markets in the world, however, its own game industry is almost nonexistent. Although at first unrelated, Brazil’s public schools focus little on technology use beyond day-to-day affairs, even though Brazil’s National Curriculum guiding document - BNCC, recommends the use of technology in significant ways that stimulate student’s critical thinking. The city of Maricá, Rio de Janeiro, Brazil, decided to legitimize games in schools via a yearlong project, to stimulate local game industry and comply with the National Curriculum guidance. This research was based on results regarding the yearlong experiment with students held during the aforementioned project, called Ti- Games. This initiative involved all fifty schools of the city and is an attempt to answer whether games in schools can or cannot help stimulate student’s confidence in relation to game industry professions. Answers were drawn from 88 students who managed to reach semi-finals and were involved with activities during the whole school year. The study will also show other secondary impacts resulting from the Ti-Games project.

In this paper, we use an evolutionary swarm intelligence approach to build an automatic electric dispatch controller for an offshore wind power plant (WPP). The optimal power flow (OPF) problem for this WPP is solved by the Canonical Differential Evolutionary Particle Swarm Optimization algorithm (C-DEEPSO). In this paper, C-DEEPSO works as a control system for reactive sources in energy production. The control operation takes place in a daily energy dispatch, scheduled into 15 min intervals and resulting in 96 operating test scenarios. As the nature of the optimization problem is dynamic, a fine-tuning of the initialization parameters of the optimization algorithm is performed at each dispatch interval. Therefore, a version of the C-DEEPSO algorithm has been built to automatically learn the best set of initialization parameters for each scenario. For this, we have coupled C-DEEPSO with the irace tool (an extension of the iterated F-race (I/F-Race)) by using inferential statistic techniques. The experiments carried out showed that the methodology employed here is robust and able to tackle this OPF-like modeling. Moreover, the methodology works as an automatic control system for a dynamic schedule operation., European Commission, Agencia Estatal de Investigación, Comunidad de Madrid

The goal of this paper is to propose an analysis of “Feastfoodbodybodyfood” performance, developed by Fotocuir artistic group. This artistic group was formed in a project coordinated by Fernanda Magalhães, one important artist in the field of performance in Brazil. With the purpose of questioning patters of commensality and sexuality through art, the group thought and performed a feast, in which people (both artists and public) dressed and ate themselves, according to their sexual and nourish preferences. In the article, the building process of this performance is exposed based in interviews realized with Fernanda Magalhães and other Fotocuir members. The analysis is developed having with theoretical approaches some propositions of queer studies and art, which were inspiration to the composition of the artistic group. It also is based in reflections made by performance studies and the anthropology of art. Este artículo tiene como objetivo proponer un análisis del fotoperformance “BanqueteComidaCorpoCorpoComida”, desarrollado por el colectivo Fotocuir, grupo formado como parte del proyecto de investigación Fotoperformance: Acción, Creación, Arte, Activismo, Tránsitos Colectivos Contemporáneos entre los años 2013-2016, en la Universidad Estatal de Londrina, bajo la coordinación de la artista visual e intérprete Fernanda Magalhães. Com o objetivo de questionar padrões de comensalidade e sexualidade por meio da arte, o coletivo pensou e performou um banquete, no qual as pessoas (artistas e público) vestiam-se de comida e devoravam-se, de acordo com as preferências sexuais e alimentares de cada uno. En el artículo se expone el proceso de construcción de esta performance, con base en informes de Fernanda Magalhães y otros miembros del colectivo. El análisis se lleva a cabo a partir de algunas discusiones sobre estudios y arte queer, así como anclado en reflexiones de estudios de performance y antropología del arte. Este artigo tem como objetivo propor uma análise da fotoperformance “BanqueteComidaCorpoCorpoComida”, desenvolvida pelo coletivo Fotocuir, grupo formado como parte do projeto de pesquisa Fotoperformance: Ação, Criação, Arte, Ativismo, Trânsitos Coletivos Contemporâneos entre os anos 2013-2016, na Universidade Estadual de Londrina, sob a coordenação da artista visual e performer Fernanda Magalhães. Com o objetivo de questionar padrões de comensalidade e sexualidade por meio da arte, o coletivo pensou e performou um banquete, no qual as pessoas (artistas e público) vestiam-se de comida e devoravam-se, de acordo com as preferências sexuais e alimentares de cada um. No artigo, o processo de construção dessa performance é exposto, com base nos relatos de Fernanda Magalhães e de outras participantes do coletivo. A análise é realizada tendo como base algumas discussões sobre estudos e arte queer, assim como ancora-se em reflexões dos estudos de performance e antropologia da arte.

Objetivo Comparar las características clínicas, los tratamientos y la evolución de los pacientes críticos con neumonía por COVID-19 atendidos en unidades de cuidados intensivos (UCI) tras un año de pandemia. Metodología Estudio multicéntrico, prospectivo, en el que se incluyó pacientes críticos COVID-19 en 9 UCI del noroeste de España. Se compararon las características clínicas, los tratamientos y la evolución de pacientes ingresados en UCI durante los meses de marzo-abril de 2020 (periodo 1) con pacientes ingresados en enero-febrero de 2021 (periodo 2). Resultados Se incluyeron 337 pacientes (98 en el periodo 1 y 239 en el periodo 2). En el periodo 2 menos pacientes requirieron ventilación mecánica invasiva (VMI) (65% vs 84%, p

The unit dispatch problem is defined as the attribution of operational values to each generation unit inside a hydro-power plant (HPP), given some criteria such as the total power to be generated, or the operational bounds of each unit. An optimal dispatch programming for hydroelectric units in HPP provides a larger production of electricity, with minimal water use. This paper presents an evolutionary approach to optimize the multi-criteria electric dispatch problem in a general HPP, based on a Multi-objective Evolutionary Swarm Hybridization (MESH) algorithm. The proposed approach integrates mathematical models and evolutionary swarm computation. The experimental analysis shows that the proposed MESH algorithm is able to reach competitive results when compared with classical evolutionary algorithms, the NGA-II and SPEA2 basing on ANOVA inference test. Results also show that the proposed MESH is able to save a large amount of water in the energy production process, supplying the requested load, and minimizing blackout risks and generating a profit around $275,000 monthly.

Orientador: Rita de Cássia Lahoz Morelli Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Filosofia e Ciências Humanas Resumo: A presente tese de Doutorado consiste em uma etnografia da experiência social de Gilberto Mendes - um dos mais destacados compositores brasileiros de música erudita contemporânea. Procura-se compreender, com base em uma abordagem biográfica, como ele enfrentou alguns dilemas estéticos e relacionou-se com instâncias políticas e de poder dentro do campo musical, desde os anos 1940, quando decidiu tornar-se músico, até o momento de sua consagração no Brasil e no exterior. Por meio do estudo da trajetória de Gilberto Mendes foi possível mapear uma série de relações existentes entre estética e política, arte e mercado, que foram determinantes não apenas para ele, mas também para os demais autores que vivenciaram o campo da música erudita brasileira na segunda metade do século XX. Ainda que o percurso biográfico de Gilberto Mendes sirva como fio condutor da narrativa, de modo algum o trabalho resulta em um monólogo. Antes, a analogia mais adequada para esse texto é a de um drama, que pretende iluminar todo o contexto de relações entre pessoas, instituições e estéticas que fizeram parte da experiência social do protagonista. Assim, a obra e a trajetória de Gilberto Mendes são colocadas em diálogo com a produção de outros compositores, de forma que possamos escutá-lo e entendê-lo a partir das discussões estéticas e das possibilidades auditivas e políticas de seu tempo e espaço sociais Abstract: The present Doctorate thesis is an ethnography of the social experience of Gilberto Mendes - one of the most important Brazilian composers of classical contemporary music. Our objective is to understand how he struggled with some aesthetical dilemmas and related himself with the musical field political and power instances since 1940's, when he decided being musician, until the moment of his consecration in Brazil and abroad. By the study of Gilberto Mendes trajectory, it was possible to map many relations between aesthetical and politics, art and market, which were determinant not only for him, but also for other authors which experienced the classical music field in the second half of XX century. Although Gilberto Mendes biographical journey is the conducting wire of this narrative, the work cannot be considered as a monologue. The analogy more appropriated for this text refers to a drama, with the purpose of illuminating a whole context of relations between people, institutions and aesthetics present in his social experience. The work and the trajectory of Gilberto Mendes are put in dialogue with other composers production, in a way that we can hear and understand him from the perspective of the aesthetical arguments and the hearing and political possibilities of his social time and place Doutorado Antropologia Doutor em Antropologia

This paper tackles the short-term hydro-power unit commitment problem in a multi-reservoir system ? a cascade-based operation scenario. For this, we propose a new mathematical modeling in which the goal is to maximize the total energy production of the hydro-power plant in a sub-daily operation, and, simultaneously, to maximize the total water content (volume) of reservoirs. For solving the problem, we discuss the Multi-objective Evolutionary Swarm Hybridization (MESH) algorithm, a recently proposed multi-objective swarm intelligence-based optimization method which has obtained very competitive results when compared to existing evolutionary algorithms in specific applications. The MESH approach has been applied to find the optimal water discharge and the power produced at the maximum reservoir volume for all possible combinations of turbines in a hydro-power plant. The performance of MESH has been compared with that of well-known evolutionary approaches such as NSGA-II, NSGA-III, SPEA2, and MOEA/D in a realistic problem considering data from a hydro-power energy system with two cascaded hydro-power plants in Brazil. Results indicate that MESH showed a superior performance than alternative multi-objective approaches in terms of efficiency and accuracy, providing a profit of $412,500 per month in a projection analysis carried out., European Commission, Agencia Estatal de Investigación, Comunidad de Madrid

Most of linked open data (LOD) applications focus on the search and visualization of information, not efficiently using the links among objects in different data sources and the semantics of their relations. This work aims to create a LOD-consuming approach that uses recommendation techniques based on items’ description, their relations, users’ interests and social network. The proposed approach was instantiated by an application that uses movie related LOD. The results obtained in our experiments were promising: accuracy of the recommendations generated was equal or better, compared to other recommender algorithms used in conventional (not LOD) scenario.

A Informatica Educativa e uma area reconhecidamente necessaria para a modernizacao da escola e de seus metodos, e o computador pode atuar como catalisador do processo de ensino e aprendizado, se bem utilizado. Entretanto, a simples presenca de um laboratorio com os seus computadores nao garante uma implementacao eficiente da Informatica Educativa. E necessario que os docentes elaborem propostas pedagogicas para o laboratorio, que o laboratorio possua o seu proprio projeto pedagogico, que a sala seja adequada, que seja realizada manutencao nos computadores e nos demais equipamentos, que seja oferecida formacao continuada aos atores envolvidos na pratica da Informatica Educativa; dentre outras imposicoes. Nesse contexto, este trabalho se propoe a analisar o uso e a gestao do Laboratorio de Informatica Educativa do CAp-UFRJ, bem como a fomentar uma melhor implementacao da Informatica Educativa neste colegio, auxiliando na elaboracao e execucao de uma aula utilizando o laboratorio em parceria com uma docente de matematica; alem de identificar, discutir e propor solucoes para problemas existentes.

Video games normally use Artificial Intelligence techniques to improve Non-Player Character (NPC) behavior, creating a more realistic experience for their players. However, rational behavior in general does not consider social interactions between player and bots. Because of that, a new framework for NPCs was proposed, which uses a social bias to mix the default strategy of finding the best possible plays to win with a analysis to decide if other players should be categorized as allies or foes. Trust and reputation models were used together to implement this demeanor. In this paper we discuss an implementation of this framework inside the game Settlers of Catan. New NPC agents are created to this implementation. We also analyze the results obtained from simulations among agents and players to conclude how the use of trust and reputation in NPCs can create a better gaming experience.

Sistemas de recomendação estão cada vez mais presentes na rotina dos usuários da Internet. Portanto, plataformas como Youtube e Netflix procuram melhorar suas recomendações para fornecer uma melhor experiência aos seus usuários. No entanto, a experiência dos usuários depende de diversos fatores. Em particular, sistemas de cache têm uma grande influência na qualidade de experiência (QoE), visto que eles impactam métricas de qualidade de serviço (QoS), como atraso e vazão, experenciadas pelos usuários. Nosso objetivo é estudar a viabilidade de um sistema de recomendação sensível a QoS que maximize a QoE. Para tal, nós conduzimos experimentos com usuários reais com perfis distintos. Cada usuário é solicitado a avaliar diferentes vídeos, que variam em termos de conteúdo e de QoS. Dadas nossas descobertas quanto à relação entre QoS e QoR (quality of recommendation), investigamos seus impactos no modelo de sistema de recomendação. Um classificador baseado em árvore de decisão alcançou acurácia de 77% usando validação cruzada, e nos permite entender melhor o processo de tomada de decisão do usuário.

Sistemas de recomendação e caches afetam milhões de usuários na Internet nos dias de hoje. Por um lado, uma demanda expressiva em sistemas como Netflix advém de recomendações feitas pela própria plataforma. Por outro lado, sistemas de cache servem uma significativa porção da demanda por conteúdo. Embora sistemas de recomendação e caches sejam dois dos componentes fundamentais da Internet atual, sua relação ainda não é bem entendida. Neste artigo, propomos modelos e problemas de otimização para melhor compreender essa relação. Mostramos que algumas instâncias do problema proposto admitem solução simples em fórmula fechada, enquanto que outras instâncias requerem solução numérica. Apresentamos também resultados preliminares usando traces do Movielens. Consideramos que nosso trabalho traz insumos para uma melhor compreensão das implicações mútuas de sistemas de recomendação e dos algoritmos de caching, o que acreditamos ser uma frente promissora a ser explorada no sentido de beneficiar provedores e consumidores de conteúdo no longo prazo.

The process of building and sharing knowledge gained ground in academic research in the last decade, as more participative ways of learning became feasible. Difficult learning tasks, like learning how to program, can now count with technological support for more democratic ways of learning. In this article we present AlgPedia, a free encyclopedia about algorithms and programs in a wiki format. Algpedia's goal is to serve information not only to humans but also to other programs. Regarding human usage, AlgPedia's intent is to support and encourage the creation of collaborative content, besides helping the software developers' community to find the best algorithmic solutions and the best suited implementations for their problems. Behind the wiki interface, the AlgPedia web platform supports a semantic database that can be accessed by intelligent non-human agents.

Resenha da coletânea Antropologia visual: perspectivas em ensino e pesquisa, organizado por Ana Lucia Ferrz e J. Mendonca e publicado em 2014.

In this paper, we present an ontology matching process based on the usage of Weightless Neural Networks (WNN). The alignment of ontologies for specific domains provides several benefits, such as interoperability among different systems and the improvement of the domain knowledge derived from the insights inferred from the combined information contained in the various ontologies. A WiSARD classifier is built to estimate a distribution-based similarity measure among the concepts of the several ontologies being matched. To validate our approach, we apply the proposed matching process to the knowledge domain of algorithms, software and computational problems, having some promising results.

This work presents the application of trust and reputation models in the context of interactive games. This type of application aims to avoid that other players (humans or computers) can easily predict the behaviour of non-human players, and consequently loose interest in the game. In our approach, trust and reputation are mechanisms used to bring a social bias to non-human players, with the intention to emulate different types of social profiles. The main idea is to combine the social profile with the rationale the agent has regarding the game rules and game state, so that the agent uses both these traces (social profile and intelligent reasoning) in order to decide the next action to take. In this paper we present the conceptual model and the architecture of the proposed framework, and also report the results of a case study based on a game played by non-human players with different social profiles.