Abstract
The main purpose of this case study was to identify the perception that people with a disability have about the concept of organizational innovation. Therefore, we aimed to provide an answer to the following research question: "How do people with a disability innovate?". The idea for doing this study emerged due to the lack of information and knowledge about the subject. We live in an era when it is easier to see people who suffer from a mental or physical malaise working in institutions or companies - more so than several years ago. Furthermore, people currently have a better understanding about the importance of embracing all individuals in society, and how it is necessary to give them all the same opportunities and to accept them in the business environment. At the same time that companies and institutions are accepting these people there may still be some gaps that make disabled people's work more difficult, resulting in a need to innovate in order to find new ways to overcome some obstacles that appear in their day-to-day lives. The way that people with disabilities modernize and modify some "basic" tasks may lead to a result that may be more productive and profitable for them and/or for the organization where they are inserted. To achieve that productivity and profitability, and also to boost their self-esteem, it is important to make sure that all the necessary tools are provided and that continuous monitoring is implemented to support these employees - creating not only a better understanding of their point of view but also improving their global efficiency. This is a qualitative study based on personal interviews with disabled people as well as being based on interactions with other employees at a major Portuguese university. The intention is to contribute to the increase of information in this area through a direct study with stakeholders while, additionally, adding to the perception of how coworkers and customers face and deal with disabled workers and whether they consider them capable of innovating or driving innovation. This case study concludes with some final considerations about the lack of opportunities given to disabled people which affects the evolution of their work in the workplace.

Abstract
Cardiovascular diseases are the main cause of death in the world and its occurrence is closely related to arterial stiffness. Arterial stiffness is commonly evaluated by analysing the arterial pulse waveform and velocity, with electromechanical pressure transducers, in superficial arteries such as carotid, radial and femoral. In order to ease the acquisition procedure and increase the patients comfort during the measurements, new optical fibre techniques have been explored to be used in the reliable detection of arterial pulse waves, due to their small size, high sensitivity, electrical isolation and immunity to electromagnetic interference. More specifically, fibre Bragg gratings (FBGs) are refractive index modulated structures engraved in the core of an optical fibre, which have a well-defined resonance wavelength that varies with the strain conditions of the medium, known as Bragg wavelength. In this work, FBGs were embedded in a commercial resin, producing films that were used to assess the arterial pulse in superficial locations such as carotid, radial and foot dorsum. The technique proved to be a promising, comfortable and trustworthy way to assess the arterial pulses, with all the optical fibre use advantages, in a non-intrusive biomedical sensing procedure. Examples of possible applications of the developed structures are smart skin structures to monitor arterial cardiovascular parameters, in a stable and reliable way, throughout daily activities or even during exams with high electromagnetic fields, such as magnetic resonance imaging.

Abstract
This paper describes a quantitative study for the validation of the Wagnild and Young's Resilience Scale ® to Information Systems Students. Individual resilience can be described as the person's ability to deal with problems, overcome obstacles, or resist the pressure caused by adverse situations, without entering into rupture. Therefore, resilience can have a significant role in students' education. However, little is known about the determinants that might undermine the resilience level of students, as well as which could affect their mental status and wellbeing, thus requiring new research efforts. This paper shows that Wagnild and Young's Resilience Scale ® is suitable for Information Systems Students: Perseverance, Self-Reliance, Equanimity, Meaningfulness and Existential Aloneness, emerged as main themes from the principal components analysis, as in the original study by Wagnild and Young suggested. Additionally, it is demonstrated that health have influence in the individual resilience. © 2018 The Authors. Published by Elsevier Ltd..

Abstract
In medical image analysis applications, the availability of the large amounts of annotated data is becoming increasingly critical. However, annotated medical data is often scarce and costly to obtain. In this paper, we address the problem of synthesizing retinal color images by applying recent techniques based on adversarial learning. In this setting, a generative model is trained to maximize a loss function provided by a second model attempting to classify its output into real or synthetic. In particular, we propose to implement an adversarial autoencoder for the task of retinal vessel network synthesis. We use the generated vessel trees as an intermediate stage for the generation of color retinal images, which is accomplished with a generative adversarial network. Both models require the optimization of almost everywhere differentiable loss functions, which allows us to train them jointly. The resulting model offers an end-to-end retinal image synthesis system capable of generating as many retinal images as the user requires, with their corresponding vessel networks, by sampling from a simple probability distribution that we impose to the associated latent space. We show that the learned latent space contains a well-defined semantic structure, implying that we can perform calculations in the space of retinal images, e.g., smoothly interpolating new data points between two retinal images. Visual and quantitative results demonstrate that the synthesized images are substantially different from those in the training set, while being also anatomically consistent and displaying a reasonable visual quality.

Abstract
Optical Tweezers (OTs) have been widely applied in Biology, due to their outstanding focusing abilities, which make them able to exert forces on micro-sized particles. The magnitude of such forces (pN) is strong enough to trap their targets. However, the most conventional OT setups are based on complex configurations, being associated with focusing difficulties with biologic samples. Optical Fiber Tweezers (OFTs), which consist in optical fibers with a lens in one of its extremities are valuable alternatives to Conventional Optical Tweezers (COTs). OFTs are flexible, simpler, low-cost and easy to handle. However, its trapping performance when manipulating biological and complex structures remains poorly characterized. In this study, we experimentally characterized the optical trapping of a biological cell found within a culture of rodent glial neuronal cells, using a polymeric lens fabricated through a photo-polymerization method on the top of a fiber. Its trapping performance was compared with two synthetic microspheres (PMMA, polystyrene) and two simple cells (a yeast and a Drosophila Melanogaster cell). Moreover, the experimental results were also compared with theoretical calculations made using a numerical model based on the Finite Differences Time Domain. It was found that, although the mammalian neuronal cell had larger dimensions, the magnitude of forces exerted on it was the lowest among all particles. Our results allowed us to quantify, for the first time, the complexity degree of manipulating such "demanding" cells in comparison with known targets. Thus, they can provide valuable insights about the influence of particle parameters such as size, refractive index, homogeneity degree and nature (biologic, synthetic). Furthermore, the theoretical results matched the experimental ones which validates the proposed model.

Abstract
The 1st International Workshop on Narrative Extraction from Texts (Text2Story 2018) was held in conjunction with the 40th European Conference on Information Retrieval, ECIR 2018, Grenoble on the 26 th March 2018. The workshop aimed to help foster the collaboration of researchers on a wide range of multidisciplinary issues related to the text-to-narrativestructure. The program consisted of two keynote talks, six research presentations, a poster session and a slot for demo presentations. This report briefly summarizes the workshop. More information about the workshop is available at http://text2story18.inesctec.pt