Abstract
Currently excessive fossil fuel consumption has become a serious problem. People are searching for new solutions of energy production and there are several options to obtain alternative sources of energy without further devastating the already destroyed environment. One of these solutions is growing microalgae, from which biodiesel can be obtained. The microalgae production is a growing business because of its many useful compounds. In order to collect these compounds microalgae must first be harvested and then dried. Nowadays the solutions used for drying use too much energy and therefore are too expensive and not sustainable. The goal of this project, one of the possible choices during the EPS@ISEP 2013 Spring, was to develop a solar microalgae dryer. The multinational team involved in its development was composed of five students, from distinct countries and fields of study, and was the responsible for designing a solar microalgae dryer prototype for the microalgae laboratory of the chemical engineering department at ISEP, suitable for future tests and incorporating control process (in order not to destroy the microalgae during the drying process). The solar microalgae dryer was built to work as a distiller that gets rid of the excess water from the microalgae suspension. This paper presents a possible solution for this problem, the steps to create the device to harvest the microalgae by drying them with the use of solar energy (also used as an energy source for the solar dryer control system), the technologies used to build the solar microalgae dryer, and the benefits it presents compared to current solutions. It also presents the device from the ethical and sustainable viewpoint. Such alternative to already existing methods is competitive as far as energy usage is concerned. Finally, working on microalgae made the team elements feel that they may contribute to the broad field of biodiesel production research and investigation.

Abstract
Evolutionary-based algorithms play an important role in finding solutions to many problems that are not solved by classical methods, and particularly so for those cases where solutions lie within extreme non-convex multidimensional spaces. The intrinsic parallel structure of evolutionary algorithms are amenable to the simultaneous testing of multiple solutions; this has proved essential to the circumvention of local optima, and such robustness comes with high computational overhead, though custom digital processor use may reduce this cost. This paper presents a new implementation of an old, and almost forgotten, evolutionary algorithm: the population-based incremental learning method. We show that the structure of this algorithm is well suited to implementation within programmable logic, as compared with contemporary genetic algorithms. Further, the inherent concurrency of our FPGA implementation facilitates the integration and testing of micro-populations.

Abstract
Empirical literature on the geographical location of creative activities has been traditionally based on the spatial analysis of industries, often disregarding the creative employment that lies outside the necessarily limited boundaries of creative industries. As an extension to the most recent methodologies using industry and occupational data on industrial cluster analysis, this paper analyses agglomeration and co-location patterns of core creative activities, considering both 'embedded' (creative professionals working outside the creative sectors) and 'specialized' (creative professionals working in the creative sectors) creative employment. Using location quotients and principal component factor and cluster analyses, applied to all 308 Portuguese municipalities, we found that the geographical agglomeration and co-location patterns of core creative groups differ substantially. The typical arguments sustained by the literature-the tendency of creative industries/employment to agglomerate and co-locate in large metropolises-are only supported in the case of knowledge-intensive activities subjected to Intellectual Property Rights, most notably 'Advertising/Marketing', 'Publishing', 'TV/Radio', and 'Software/Digital Media', densely concentrated and co-located in highly developed, large urban centres, with high levels of human capital. These arguments do not hold for the traditional creative activities of 'Architecture', 'Design/Visual Arts' and 'Crafts', which, although co-located, appear mostly dispersed with small concentrations around intermediate urban centres. 'Teaching/training/research' present quite dispersed geographical patterns with some clusterization around municipalities with tertiary education institutions. 'Film/video/photography' and 'Music/Performing Arts' show some dispersion throughout the Portuguese territory with concentration around small urban centres and in rural areas. It is evident that, from agglomeration to co-location patterns, creative employment reveals heterogeneous characteristics across creative groups.

Abstract
The IEEE 802.11s standard specifies a mesh technology to be supported by IEEE 802.11 devices. Among the limitations caused by this heritage, we focus on the low scalability of the current IEEE 802.11s standard mechanisms. As a main contribution to the related research field, this article presents the DHT-based Cluster Routing Protocol (DCRP). DCRP addresses IEEE 802.11s' scalability issues by exploiting both Distributed Hash Tables and Clustering schemes, which have proved to be effective in scaling wireless (e.g., MANETs) and wired (e.g., P2P) networking systems. DCRP was implemented and compared with the HWMP through simulation for different scalability parameters and performance metrics. Simulation results indicate that the proposed scheme improves performance in terms of packet delivery ratio, end-to-end delay, throughput, and overhead.

Abstract

Abstract
Technology entered in our lives and changed not only the way we communicate and interact with each other, but also our habits and the experiences in the real and digital worlds. However, due to the rapid progress, we use technology in every moment of our day and sometimes this causes some frustration because the way we interact with the applications is not the most effective for the context we are in. This problem is even more significant in the business environments, where effectively the time we take to finish some kind of task can mean profit or loss for the business. The key to these problems can be in the adaptation of the interface to user needs and constrains as it happens in solutions for situational induced impairment and disabilities (SIID). This can be made by inference the context in which the user it is by using different sensors available on mobile platform and different sources of information such as user profile, agenda and usage history. In this paper we propose a review of the main challenges of the dynamic adaptation of interfaces, with a case of application in a business environment. (c) 2015 The Authors. Published by Elsevier B.V.