Abstract
Objectives: The aim of this study was to relate social desirability with eating behavior dimensions among higher education students in Portugal, and to assess the effect of social desirability on the association between pairs of eating behavior dimensions. Methods: Data from 266 higher education students (62.8% women) aged between 18 and 27 y were evaluated. Social desirability and several eating behavior dimensions (emotional and external eating, flexible and rigid restraint, binge eating, and eating self-efficacy) were assessed. Results: In both women and men, social desirability showed negative associations with emotional, external, and binge eating, and positive associations with eating self-efficacy. For the majority of the correlations, the control for social desirability led to a decrease in the strength of the association: Social desirability showed a greater effect on the associations between external and binge eating, external eating and eating self-efficacy, binge eating and eating self-efficacy, and emotional and external eating. Conclusion: This study demonstrated that social desirability should be considered when assessing the dimensions of eating behavior, namely eating self-efficacy and dimensions related to overeating.

Abstract
This work seeks to understand and characterise the innovative profile of Portuguese SMEs within the context of open innovation. The analysis draws on interviews conducted with the business associations and technological centres in the moulds, footwear and automotive industries in Portugal. The study conducted here follows an exploratory approach. This study suggests that while open innovation is relatively widespread in its adoption of external knowledge, technology transfer outside the business is less commonplace. The innovation partners are varied, chosen based on competence and experience as well as their networking ability. Copyright © 2015 Inderscience Enterprises Ltd.

Abstract
Wireless Underground Networks (WUNs) have applications such as agriculture, border surveillance, maintenance of playing fields, and infrastructure monitoring. When designing a sensor network for one of these applications some of the sensors (communication nodes) will be buried underground, which means the propagation medium will be the soil or hybrid (air plus soil) in case of one of the nodes is aboveground. Thus, new models have to be implemented in existing simulators, in order to enable the proper simulation of these communications scenarios. This paper presents a new model, named underground model, and discusses its integration into the NS-3 simulator. The underground model enables the simulation of WUNs, including network topologies with underground and aboveground nodes. The accuracy of the underground model is shown for two frequency bands by comparing simulations results with experimental results. © 2015 ACM.

Abstract
Global competition and the customers demand for customized products with shorter due dates, marked the introduction of the Extended Enterprise. In this Extended Manufacturing Environment (EME), lean, virtual, networked and distributed enterprises collaborate to respond to the market demands. In this paper we study the influence of the batch size on Flexible Flow Shop makespan minimization problem FFC||Cmax for two multi-sites approaches, the FSBF (Flow Shop Based Factories) and the PMBF (Parallel-Machines Based Factories). The computational study demonstrates how the performance of the PMBF model decreases with the increase of batch size and determines the batch sizes in which the performance is similar. © 2015 AISTI.

Abstract
Search engines typically estimate relevance using features of the documents. We believe that several features from the user and task can also contribute to this process. In the health domain there are specific characteristics of web documents that can also add value to this estimation. In the present work, using a dataset composed by set of annotated web pages and their assessment by a set of users regarding their relevance and comprehension, we analyse what characteristics affect documents' relevance and what characteristics influence how well users comprehend them. We have conducted a bivariate analysis using characteristics of the above data collection. The strongest relations we have found are linked to the task features, suggesting a direct association between tasks' clarity and easiness and both the relevance and the comprehension of the content. The language of the document, its medical certification, the update status, the content in pathology definitions, the content in prevention, prognosis and treatment information, are other characteristics valued by consumers in terms of relevance. Users' previous experience on health searches and, particularly, on the topic being searched, their gender, the language and terminology of their queries were shown to be related to their success in the search tasks. We have also found that lay terminology, knowledge about the medico-scientific terms and the language of the documents are good indicators of comprehension. Documents containing links and testimonies, and the ones recently updated were observed to be better understood by users, as well as blog posts and comments. (C) 2015 The Authors. Published by Elsevier B.V.

Abstract
There is a growing interest in integrating public transportation with the smartphone and mobile ticketing provides just that. To do so, different technologies can be used, such as Near Field Communication, Quick Response Codes and Bluetooth Low Energy. This paper explores the possibility of implementing a mobile ticketing solution, with focus on the ticket validation process, using these technologies. They are analyzed and compared at different levels and two possible approaches proposed. Both solutions are presented in terms of infrastructure and maintenance cost, as well as passenger interaction and benefit. The feasibility and performance of the technologies is analyzed and presented in the context of the proposed approaches. As a result, a mobile ticketing solution can be implemented using different technologies, and their choice depends on factors such as the available funds, the intended interaction level, performance and the size of the target audience. © 2015 IEEE.