Abstract
This paper presents a proposal for the management, mentoring and training activities for employees of an organization. The training activities normally take place indoors; however, the nomadic life of some employees often makes difficult their training. Thus, the proposal takes into account the internal trainees and those who for various circumstances may not do so presentially. The use of heterogeneous mobile devices was further concerns the design proposal, since it is not always possible that all learners have the same type of platform, making it even more complicated if the organization allow BYOD. This proposal includes the development of two server applications, one located inside the organization and the other located in the cloud. The proposed solution will enable mobile interaction between the devices, the internal server and the server located in the cloud.

Abstract
Designing adaptive games for individual emotional experiences is a tricky task, especially when detecting a player's emotional state in real time requires physiological sensing hardware and signal processing software. There is currently a lack of software that can identify and learn how emotional states in games are triggered. To address this problem, we developed a system capable of understanding the fundamental relations between emotional responses and their eliciting events. We propose time-evolving Affective Reaction Models (ARM), which learn new affective reactions and manage conflicting ones. These models are then meant to provide information on how a set of predetermined game parameters (e.g., enemy and item spawning, music and lighting effects) should be adapted, to modulate the player's emotional state. In this paper, we propose and describe a framework for modulating player emotions and the main components involved in regulating players' affective experience. We expect our technique will allow game designers to focus on defining high-level rules for generating gameplay experiences instead of having to create and test different content for each player type.

Abstract
This paper describes the development and testing of a robotic capsule for search and rescue operations at sea. This capsule is able to operate autonomously or remotely controlled, is transported and deployed by a larger USV into a determined disaster area and is used to carry a life raft and inflate it close to survivors in large-scale maritime disasters. The ultimate goal of this development is to endow search and rescue teams with tools that extend their operational capability in scenarios with adverse atmospheric or maritime conditions.

Abstract
Medical device regulators such as the US Food and Drug Administration (FDA) aim to make sure that medical devices are reasonably safe before entering the market. To expedite the approval process and make it more uniform and rigorous, regulators are considering the development of reference models that encapsulate safety requirements against which software incorporated in to medical devices must be verified. Safety, insofar as it relates to interactive systems and its regulation, is generally a neglected topic, particularly in the context of medical systems. An example is presented here that illustrates how the interactive behaviour of a commercial Patient Controlled Analgesia (PCA) infusion pump can be verified against a reference model. Infusion pumps are medical devices used in healthcare to deliver drugs to patients, and PCA pumps are particular infusion pump devices that are often used to provide pain relief to patients on demand. The reference model encapsulates the Generic PCA safety requirements provided by the FDA, and the verification is performed using a refinement approach. The contribution of this work is that it demonstrates a concise and semantically unambiguous approach to representing what a regulator's requirements for a particular interactive device might be, in this case focusing on user-interface requirements. It provides an inspectable and repeatable process for demonstrating that the requirements are satisfied. It has the potential to replace the considerable documentation produced at the moment by a succinct document that can be subjected to careful and systematic analysis. Copyright 2013 ACM.

Abstract

Abstract
Methane (CH4) and nitrous oxide (N2O) emissions from flooded rice fields have been rarely measured in Europe. A field study was carried out in an intermittent flooded rice field at central Portugal to investigate if global warming under Mediterranean conditions, elevated soil temperature (+2 degrees C) and atmospheric [CO2] (550 ppm), could lead to significant effects in CH4 and N2O emissions. The experimental design consisted of three treatments arranged in a randomized complete block design with three replicates. To assess the effects of ambient temperature and actual atmospheric [CO2] (375 ppm), plots were laid under open-field rice conditions. Using open-top chambers, two other treatments were established: one to assess the effect of elevated temperature and actual atmospheric [CO2] and a third treatment to evaluate the combined effect of elevated temperature and atmospheric [CO2]. Measurements of CH4 and N2O fluxes were made throughout two consecutive growing seasons in the field using the closed chamber technique. Elevation of temperature with or without elevated atmospheric [CO2] increased CH4 emissions by 50%, but this increase was not significant compared to the open-field condition. As for N2O, elevated temperature alone or combined with elevated atmospheric [CO2] had no significant effect on emissions relative to the open-field treatment. The estimated seasonal CH4 EF for the Portuguese flooded rice fields was 10.0 g CH4 m(-2), while the EF for N2O emissions was 1.4% of N input. These results suggested that default seasonal CH4 and N2O EFs currently used by the Portuguese inventory were not appropriated.