Abstract
This paper reports a scoping review of the literature to identify the inquiry instruments being used to evaluate the usability of AAL solutions, which resulted in the inclusion of 35 studies. The results show that a significant number of the included studies reported the use of non-valid inquiry instruments, such as ad-hoc questionnaires. Among the studies using valid and reliable inquiry instruments, System Usability Scale (SUS) emerged as the most used one. In general, valid and reliable inquiry instruments are being used together with additional data gathering methods, to perform comprehensive usability evaluations. Moreover, in terms of the quality of the design of the included studies, it should be pointed the adequacy of the participants' characteristics and the tasks they performed. In turn, these studies did not present evidence of the preparation and independence of the evaluators.

Abstract
We propose a mechanism to raise the abstraction level of source-code analysis and robustly support multiple languages. Built on top of the LARA framework, it allows sharing language specifications between LARA source-to-source compilers, and enables the mapping of a virtual AST over the nodes of ASTs provided by different, unrelated parsers. We use this approach to create a language specification for Object-Oriented (OO) languages and add support for three different LARA compilers. We evaluate it by implementing a library of 18 software metrics using this language specification and apply the metrics to source code in four programming languages (C, C++, Java, and JavaScript). We compare the results with other tools to evaluate the approach.

Abstract
We discuss the concept of FPGA-unfriendliness, the property of certain algorithms, programs, or domains which may limit their applicability to FPGAs. Specifically, we look at graph analysis, which has recently seen increased interest in combination with High-Level Synthesis, but has yet to find great success compared to established acceleration mechanisms. To this end, we make use of Xilinx's Vitis Graph Library to implement Single-Source Shortest Paths (SSSP) and PageRank (PR), and present a custom kernel written from the ground up for Distinctiveness Centrality (DC, a novel graph centrality measure). We use public datasets to test these implementations, and analyse power consumption and execution time. Our comparisons against published data for GPU and CPU execution show FPGA slowdowns in execution time between around 18.5x and 328x for SSSP, and around 1.8x and 195x for PR, respectively. In some instances, we obtained FPGA speedups versus CPU of up to 2.5x for PR. Regarding DC, results show speedups from 0.1x to 3.5x, and energy efficiency increases from 0.8x to 6x. Lastly, we provide some insights regarding the applicability of FPGAs in FPGA-unfriendly domains, and comment on the future as FPGA and HLS technology advances.

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Companies and brands are increasingly using social media networks as one of the main channels of disseminating products and services, due to the exponential growth that these platforms have had in the last few years. Universities and Higher Education Institutions are also using the contents published on social networks as a way of advertising the institution itself and its training offer. Content marketing for social media has increasingly become one of the most used strategies by companies and brands to increase engagement and attract new followers on their social networks. The main goal of this paper is to develop a content marketing strategy for School of Business Sciences (ESCE) of Polytechnic Institute of Viana do Castelo’s social networks as Facebook and Instagram that can generate an increase in the school’s awareness and followingly increase the number of new students. This study also aims to create greater identification of students with ESCE, to improve the engagement of its social networks with their followers and to get more interaction from users who do not usually interact with ESCE’s social network profiles. Subsequently, content marketing strategy was developed, and it analyzed the results obtained with the statistical analysis of ESCE’s social network profile. With the results obtained with this study, it was concluded that the application of a social media content marketing strategy for a higher education school had very positive results, on increasing the engagement in social networks by the followers of ESCES’s social networks. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.