Avaliação da qualidade final de efluentes de lagoas de estabilização com vistas ao reúso urbano

Stabilization pond is the most used sewage treatment system in the country, corresponding to approximately 90% of all systems. The systems evaluated were stabilization ponds system of sewage treatment in the city of Natal / RN. This research aimed to analyze the possible uses through physical-chemical and bacteriological of these final effluent ponds for urban uses depending on the characteristics after passage around the treatment system. The parameters used were chosen according to those established by Chernicharo et al. (2006), in order to characterize the effluent. The parameters evaluated were: DO, temperature, pH, conductivity, organic nitrogen, ammonia, NTK, total phosphorus, and series of solid fecal coliforms. Generally, the characteristics of the effluent followed variability found in the literature. The results showed an efficiency that is technically feasible to use the effluent end of some of STPs analyzed when checked parameters alone, if fitting in unrestricted urban use, restricted use and urban land use

Unveiling fieldbus network technology through project-based learning

Fieldbus communications networks are a fundamental part of modern industrial automation technique. This paperwork presents an application of project-based learning (PBL) paradigm to help electrical engineering students grasp the major concepts of fieldbus networks, while attending a one-term long, elective microcontroller course. © 2012 IEEE.

ModelDB in Computational Neuroscience Education - A research tool as interactive educational media

ModelDB's mission is to link computational models and publications, supporting the field of computational neuroscience (CNS) by making model source code readily available. It is continually expanding, and currently contains source code for more than 300 models that cover more than 41 topics. Investigators, educators, and students can use it to obtain working models that reproduce published results and can be modified to test for new domains of applicability. Users can browse ModelDB to survey the field of computational neuroscience, or pursue more focused explorations of specific topics. Here we describe tutorials and initial experiences with ModelDB as an interactive educational tool.

Research Note—Why Following Friends Can Hurt You: An Exploratory Investigation of the Effects of Envy on Social Networking Sites among College-Age Users

Research findings on how participation in social networking sites (SNSs) affects users’ subjective well-being are equivocal. Some studies suggest a positive impact of SNSs on users’ life satisfaction and mood, whereas others report undesirable consequences such as depressive symptoms and anxiety. However, whereas the factors behind the positive effects have received significant scholarly attention, little is known about the mechanisms that underlie the unfavorable consequences. To fill this gap, this study uses social comparison theory and the responses of 1,193 college-age Facebook users to investigate the role of envy in the SNS context as a potential contributor to those undesirable outcomes. Arising in response to social information consumption, envy is shown to be associated with reduced cognitive and affective well-being as well as increased reactive self-enhancement. These preliminary findings contribute to the growing body of information systems research investigating the dysfunctional consequences of information technology adoption in general and social media participation in particular.