Animação Viral, Vanguarda Trash e o Capital Simbólico dos nossos Piores Defeitos: a Ideologia de Bruno Aleixo

"Bruno Aleixo" is a viral animation character, created by the Portuguese collective GANA, that surfaced online in 2008. Their animation works have meanwhile crossed onto the most diverse media, and have been branching out in multiple webs of narratives, constantly referring to each other, as well as constantly quoting disparate references such as film classics, chatrooms and TV ads for detergents. This paper attempts a triple analysis of this object of study: the ways in which technology has been fostering non-linear narratives while widening the available aesthetic spectrum, the ways in which processes of cultural consumerism are being reinvented in light of the web 2.0, and the use of "pseudo-nonsense" as a process of oblique cultural psychoanalysis. We will further attempt to demonstrate how new media and web networks have been contributing to a fragmentation of audiences, as well as a blurring between dominant cultures and sub-cultural phenomena; and we will end by positing that the structural principles behind the "Bruno Aleixo" series can be applied in social and cultural contexts situated at the opposite end of the spectrum of traditional expectations regarding Animation.

ZigBee-based Remote Patient Monitoring

ZigBee-based Remote Patient Monitoring

Remote Patient Monitoring Based on ZigBee: Lessons from a Real-World Deployment

AIM: This work presents detailed experimental performance results from tests executed in the hospital environment for Health Monitoring for All (HM4All), a remote vital signs monitoring system based on a ZigBee® (ZigBee Alliance, San Ramon, CA) body sensor network (BSN). MATERIALS AND METHODS: Tests involved the use of six electrocardiogram (ECG) sensors operating in two different modes: the ECG mode involved the transmission of ECG waveform data and heart rate (HR) values to the ZigBee coordinator, whereas the HR mode included only the transmission of HR values. In the absence of hidden nodes, a non-beacon-enabled star network composed of sensing devices working on ECG mode kept the delivery ratio (DR) at 100%. RESULTS: When the network topology was changed to a 2-hop tree, the performance degraded slightly, resulting in an average DR of 98.56%. Although these performance outcomes may seem satisfactory, further investigation demonstrated that individual sensing devices went through transitory periods with low DR. Other tests have shown that ZigBee BSNs are highly susceptible to collisions owing to hidden nodes. Nevertheless, these tests have also shown that these networks can achieve high reliability if the amount of traffic is kept low. Contrary to what is typically shown in scientific articles and in manufacturers' documentation, the test outcomes presented in this article include temporal graphs of the DR achieved by each wireless sensor device. CONCLUSIONS: The test procedure and the approach used to represent its outcomes, which allow the identification of undesirable transitory periods of low reliability due to contention between devices, constitute the main contribution of this work.