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.

Abstract
We analyze the altitude distribution of the turbulence outer scale - L0(h) - at Cerro Pachón from Gemini South MCAO (GeMS) loop data. GeMS turbulence profiler is fed with telemetry from their 5 WFSs and from the voltages applied to the deformable mirrors, providing estimations of r0, Cn2(h), wind profile (speed and direction for every layer), isoplanatic angle and the outer scale distribution L0(h). It is shown that this last parameter ranges from less than 1 meter at the ground to more than 50m (the telescope is insensitive to larger cannot detect differences above this value). The technique is based on cross correlations of the pseudo-open-loop slopes that allow to disentangle the multiple constituents of L0.

Abstract
The study of gene expression in mammalian single cells via genomic technologies now provides the possibility to investigate the patterns of allelic gene expression. We used single-cell RNA sequencing to detect the allele-specific mRNA level in 203 single human primary fibroblasts over 133,633 unique heterozygous single-nucleotide variants (hetSNVs). We observed that at the snapshot of analyses, each cell contained mostly transcripts from one allele from the majority of genes; indeed, 76.4% of the hetSNVs displayed stochastic monoallelic expression in single cells. Remarkably, adjacent hetSNVs exhibited a haplotype-consistent allelic ratio; in contrast, distant sites located in two different genes were independent of the haplotype structure. Moreover, the allele-specific expression in single cells correlated with the abundance of the cellular transcript. We observed that genes expressing both alleles in the majority of the single cells at a given time point were rare and enriched with highly expressed genes. The relative abundance of each allele in a cell was controlled by some regulatory mechanisms given that we observed related single-cell allelic profiles according to genes. Overall, these results have direct implications in cellular phenotypic variability. © 2015 The American Society of Human Genetics.

Abstract
Current practices and major trends in unmanned aircraft systems (UAS) for maritime operations are presented along with projections of future UAS maritime applications. First, various aspects of UAS program management, including organization, operator responsibilities, program operation, and overall program costs, are reviewed. Next, maritime aircraft missions and required capabilities are outlined, and current practices for both manned and unmanned aircraft are described. Technological trends relating to UAS are also discussed, focusing on developments relevant to maritime UAS operations. This information provides a background for assessing potential future maritime UAS operations. Trends including miniaturization of sensors and computer systems, high energy density of power sources, and increased subsystem standardization and modularity will have important effects in the future. However, another significant trend is towards increased system autonomy via new command and control frameworks that facilitate integration of UAS into higher level maritime observing systems through new concepts of operation for networked systems and new business models. © Springer Science+Business Media Dordrecht 2015.

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.