Abstract
This paper, from a reflection about Digital Culture and the new learners, presents and discusses the use of Metaverses and Digital Games in Education, involving concepts such as flow state, experimentation and meaning to problematize the issue of learning. In this context, we propose the Immersive Learning - i-Learning, using Virtual Reality Experience and Real Virtuality Experiences, as one of the educational possibilities that can be afforded to the new learners, which are part of the Digital Culture. © 2013 AISTI.

Abstract
With increasing penetration of electricity application in society and the need of majority of appliance to electricity, high level of reliability becomes more essential; in one hand with deregulation of electricity market in production, transmission and distribution and emerge of competitive electricity markets and in the other hand with increasing penetration of Distributed Generation (DG) because of environment issues and diminishing in fossil fuel reserves and its price growth, made microgrid more attractive. Micro grids are considers as partial of SmartGrid system to accommodate DGs as well as control, protection and operation systems for electrical equipment to connect generation to consumption in better and more reliable way to maintain adequate operation system in distribution level. A highly challenging issue in Microgrid is protection scheme, which needs to develop and modify. This paper proposes a new approach for protection in a Microgrid environment as a part of SmartGrid: Multi-agent system to Protections Coordination (MAS-ProteC) which integrated in MASGriP (Multi-Agent Smart Grid Platform), providing protection services within network operation in SmartGrid in electricity market context. © 2013 IEEE.

Abstract
Most machining tasks require high accuracy and are carried out by dedicated machine-tools. On the other hand, traditional robots are flexible and easy to program, but they are rather inaccurate for certain tasks. Parallel kinematic robots could combine the accuracy and flexibility that are usually needed in machining operations. Achieving this goal requires proper design of the parallel robot. In this chapter, a multi-objective particle swarm optimization algorithm is used to optimize the structure of a parallel robot according to specific criteria. Afterwards, for a chosen optimal structure, the best location of the workpiece with respect to the robot, in a machining robotic cell, is analyzed based on the power consumed by the manipulator during the machining process.

Abstract
Student knowledge of Nature of Science (NOS) is an important and critical issue to their understanding of science, as well as to the development of scientific literacy. In the same way, the ability to use and generate models is central to scientific literacy and to the learning of science. Having this in mind, and recognizing that teachers' views and practices strongly influence students' learning, we intended to evaluate Portuguese prospective science teachers' (PPST) views of Nature of Science (NOS), models and earth structure models. A questionnaire, focused on those aspects, was applied to 19 prospective science teachers at the University of Porto. In general, the majority of the participants revealed correct perceptions about those issues. However, some inconsistences and alternative conceptions were found.

Abstract
Data centers are large energy consumers and a substantial portion of this power consumption is due to the control of physical parameters, which bring the need of high effciency environmental control systems. In this paper, we describe a hardware sensing platform specifi cally tailored to collect physical parameters (temperature, pressure, humidity and power consumption) in large data centers. This platform is an important enabler to find opportunities to optimize energy consumption. We also introduce an analysis of the delay to obtain the sensing data from the sensor network. This analysis provides an insight into the time scales supported by our platform, and also allows to study the delay for different datacenter topologies.

Abstract
A refractive index sensor based on a bent in-line Mach-Zehnder interferometer is investigated via numerical analysis through the beam propagation method. Comparative results are presented for the conventional not bent sensor and for the cases in which this sensor is bent at certain radii of curvature. The results showed poor sensitivity for the not bent sensor presenting a wavelength shift similar to 75 nm/RIU within the refractive index range of 1.33 to 1.41 and 55 nm/RIU near the refractive index value of 1.41. In contrast, when the sensor was bent its sensitivity was greatly increased presenting the best response at a radius of curvature of 12 mm achieving similar to 1025 nm/RIU for values of refractive index from 1.33 to 1.41 and similar to 2000 nm/RIU near the refractive index value of 1.41.