Abstract
Energy efficiency is a non-functional requirement that developers must consider. This requirement is particularly relevant when building software for battery-operated devices like mobile ones: a long-lasting battery is an essential requirement for an enjoyable user experience. It has been shown that many mobile applications include inefficiencies that cause battery to be drained faster than necessary. Some of these inefficiencies result from software patterns that have been catalogued in the literature. The catalogues often provide more energy-efficient alternatives. While the related literature is vast, most approaches so far assume as a fundamental requirement that one has access to the source code of an application in order to be able to analyse it. This requirement makes independent energy analysis challenging, or even impossible, e.g. for a mobile user or, most significantly, an App Store trying to provide information on how efficient an application being submitted for publication is. Our work studies the viability of looking for known energy patterns in applications by decompiling them and analysing the resulting code. For this, we decompiled and analysed 236 open-source applications. We extended an existing tool to aid in this process, making it capable of seamlessly decompiling and analysing android applications. With the collected data, we performed a comparative analysis of the presence of energy patterns between the source code and the decompiled code. While further research is required to more assertively say if this type of static analysis is viable, our results point in a promising direction with 163 applications, approximately 69%, containing the same number of detected patterns in both source code and the release APK.

Abstract

Abstract
The software industry still struggles with adverse effects of a weak alignment between requirements and testing. The Software Pattern Metamodel (SoPaMM) aligns requirements and test patterns under the influence of agile practices. However, these patterns will be more beneficial for professionals if development activities are supported by a software tool. This paper presents the behaviour-DRivEn Application Model generator (DREAM) tool, automatically generating requirements and test specifications from SoPaMM-based patterns. We show how DREAM supports requirements elicitation and specification, test case elaboration, and software documentation using a patterns catalogue for electronic health record systems.

Abstract
This paper presents a systematic mapping literature review about the mobile robotics competitions that took place over the last few decades in order to obtain an overview of the main objectives, target public, challenges, technologies used and final application area to show how these competitions have been contributing to education. In the review we found 673 papers from 5 different databases and at the end of the process, 75 papers were classified to extract all the relevant information using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method. More than 50 mobile robotics competitions were found and it was possible to analyze most of the competitions in detail in order to answer the research questions, finding the main goals, target public, challenges, technologies and application area, mainly in education.

Abstract
This research aims to analyze Corporate Social Responsibility (CSR) in the Sports Industry, specifically in the universe of sports clubs in Portugal. The main goal was to understand what the fans' perceptions on CSR practices of Portuguese sports clubs are, and how these perceptions influence their brand attitude and e-WOM intention. A questionnaire survey was conducted, obtaining a total of 159 responses. The research results show that the fans' perception of CSR initiatives positively influences their identification with the club, pride, word-ofmouth (WOM), electronic word-of-mouth (e-WOM) and the intention to remain members. The intention to become paid members of a sports club is not influenced by the fan's perception of CSR. However, their familiarity with the clubs' CSR initiatives positively influences their identification with the club, WOM and eWOM. In addition, relevant managerial implications are provided for sports club's managers as to how to improve CSR communication and create long-term benefits for the clubs.

Abstract
A new sensing platform based on long-period fiber gratings (LPFGs) for direct, fast, and selective detection of human immunoglobulin G (IgG; Mw = 150 KDa) was developed and characterized. The transducer's high selectivity is based on the specific interaction of a molecularly imprinted polymer (MIPs) design for IgG detection. The sensing scheme is based on differential refractometric measurements, including a correction system based on a non-imprinted polymer (NIP)-coated LPFG, allowing reliable and more sensitive measurements, improving the rejection of false positives in around 30%. The molecular imprinted binding sites were performed on the surface of a LPFG with a sensitivity of about 130 nm/RIU and a FOM of 16 RIU-1. The low-cost and easy to build device was tested in a working range from 1 to 100 nmol/L, revealing a limit of detection (LOD) and a sensitivity of 0.25 nmol/L (0.037 mu g/mL) and 0.057 nm.L/nmol, respectively. The sensor also successfully differentiates the target analyte from the other abundant elements that are present in the human blood plasma.