Abstract
Teachers’ mobility is one of the facets of Higher Education Institutions internationalization, and despite its importance in implementing the program's purposes it is still disregarded by researchers, with most mobility studies focusing on students. This research concentrates on highly active mobility teachers and aims to delve into their experiences, namely by identifying facilitators and goals for this repeated internationalization and by analyzing the outcomes of these initiatives in their personal lives, professional activity, home and host students, and for their Universities as a whole. This study adopts a qualitative exploratory approach. Having as sample universe the teachers of one Portuguese University that in a 7-year period (2009-2016) engaged in mobility experiences under the Erasmus program (N = 107), 8 were identified as having the highest number of initiatives and were invited to participate in this study. From these mobility champions, 5 accepted, resulting in 5 phenomenological interviews. Data was collected in January 2017. The participants shared an integrated view of the Erasmus mobility, being essential for its success the additional opportunities of joint research and the strengthening of international relationships and networks. Prior relations with teachers from the host University and ongoing research projects stood out among the facilitators. The opportunity to observe and get to know other cultural settings was also mentioned as one determinant stimulus. Still, the outcomes in terms of teaching methodologies and best practices as well an effective impact in home students seemed residual. Moreover, the ability to encourage other teachers to join the program was very limited, often confined to close colleagues and research partners. Despite its exploratory nature, this study demonstrates the relevance of further research on mobility champions to assess the success and possible pitfalls of repeated mobility experiences in terms of extended institutional outcomes and well as individual gratification of the teachers involved. Based on the results, we suggest the consideration of a wider set of outcomes in the appraisal of mobility initiatives, as well as the widespread of champions’ insights on the topic in order to motivate inexperienced teachers to embrace internationalization. Hopefully this paper is able to inspire not only research but also teaching mobility initiatives.

Abstract

Abstract
During the last decade, the use and evolution of Information and Communication Technologies (ICT) in industry have become unavoidable. The emergence of the Industry Internet of Things (IIoT) promoted new challenges in logistic domain, which might require technological changes such as: high need for transparency (supply chain visibility); integrity control (right products, at the right time, place, quantity condition and at the right cost) in the supply chains. These evolvements introduce the concept of Logistics 4.0. In this paper, it is presented some reflections regarding the adequate requirements and issues enabling organizations to be efficient, and fully operational in Logistics 4.0 context. (C) 2017 The Authors. Published by Elsevier B.V.

Abstract
Gene co-expression networks capture biologically important patterns in gene expression data, enabling functional analyses of genes, discovery of biomarkers, and interpretation of genetic variants. Most network analyses to date have been limited to assessing correlation between total gene expression levels in a single tissue or small sets of tissues. Here, we built networks that additionally capture the regulation of relative isoform abundance and splicing, along with tissue-specific connections unique to each of a diverse set of tissues. We used the Genotype-Tissue Expression (GTEx) project v6 RNA sequencing data across 50 tissues and 449 individuals. First, we developed a framework called Transcriptome-Wide Networks (TWNs) for combining total expression and relative isoform levels into a single sparse network, capturing the interplay between the regulation of splicing and transcription. We built TWNs for 16 tissues and found that hubs in these networks were strongly enriched for splicing and RNA binding genes, demonstrating their utility in unraveling regulation of splicing in the human transcriptome. Next, we used a Bayesian biclustering model that identifies network edges unique to a single tissue to reconstruct Tissue-Specific Networks (TSNs) for 26 distinct tissues and 10 groups of related tissues. Finally, we found genetic variants associated with pairs of adjacent nodes in our networks, supporting the estimated network structures and identifying 20 genetic variants with distant regulatory impact on transcription and splicing. Our networks provide an improved understanding of the complex relationships of the human transcriptome across tissues.

Abstract
While in the past the installation of distributed generation systems was oftentimes motivated by attractive feed-in tariffs, many consumers now install such systems to increase their self-sufficiency in order to avoid rising electricity cost. However, due to the intermittency of photovoltaic systems and the dependency of cogeneration units on the thermal demand, there remains a significant mismatch between local generation and demand. Electrical storage devices can align generation and demand, minimizing the mentioned gap and hence the amount of energy that needs to be taken from the grid. This paper describes a model to determine the optimal dispatch of such a system, taking the thermal system into account in order to account for the dependency of cogeneration units. A mixed integer program is presented, which identifies the cost minimizing operation schedule. This model is tested using a case study considering realistic values taken from the German case.

Abstract
Presently, many industries are facing strong challenges related to the demand of customized and high-quality products. These pressures lead to internal company's conflicts where current production systems have a rigid structure, forcing the company into a organization stall when a fast product change is required. Therefore, the need to smoothly migrate traditional systems into more feature-rich and cost-effective systems, namely Cyber-Physical Production Systems (CPPS), became a highly discussed topic. PERFoRM project focuses the conceptual transformation of existing production systems towards plug&produce ones to achieve flexible and reconfigurable manufacturing environments. In particular, the smooth migration process is considered crucial to effectively transpose existing production systems into truly CPPS. This paper describes the use of Petri nets to design the migration process under the PERFoRM perspective, taking advantage of its inherent capabilities to design, analyze, simulate and validate such complex processes.