Abstract
In this paper we propose a high-gaussicity spline-profiled horn antenna, which is scalable in length and aperture to achieve higher gains whilst retaining a high Gaussian efficiency. A novel approach is used where a PSO is used for optimizing the spline, using the gaussicities at the operating frequencies as the objective function, which further improves side-lobe level and cross-polarization when compared to the state-of-the-art. With the proposed method, which was validated through FEM simulations in HFSS, reflection coefficients below -15 dB, gains greater than 25 dBi and gaussicities above 91% were obtained in the entire WR-3 band.

Abstract
Innovations in virtual reality have boosted their use for business purposes and personal consumption. The main objective of this technology is to transport the user to virtual environments. The use of avatars to replace the user's body in these environments increases the levels of presence and embodiment of the user. Through the inverse kinematics it is possible to animate the avatars according to the data obtained in sensors scattered around the user's body, replicating the movements in a avatar. These sensors can vary in number offering different levels of fidelity in the tracking of the human body. In this paper, we study the impact of the number of sensors used in the presence of the user and in the embodiment of the avatar, using three, five and six tracking points. The results show that there is no statistically significant differences in presence nor in any of its sub-scale, however one can observe a positive trend in the 6-points conditions. As for embodiment, the results show that there is statistically signifficant differences in some of presence sub-scales, namelly tactile sensation, response and in the embodiment as a whole.

Abstract
Studies on Small States, 'unattractive' markets, namely those from Africa, are very scarce. Sao Tome and Principe (STP), a Small State, insular economy, has had considerable momentum in attracting FDI in the last decade albeit its geographical and demographic constraints and relative weak economic growth. The current study uncovers the potential determinants of FDI in unattractive markets using STP as a case study. Based on (robust) logistic estimations on a sample of 56 Portuguese companies that have trade relations with African countries, we show that in the case of Small States economies and unattractive markets, the relevance of institutional factors and resource seeking strategies surpass internalisation and location factors related to market size and dynamics. We further uncovered that foreign companies' characteristics, namely size and (general) human capital, are critical in explaining companies' likelihood to invest in an 'unattractive' market.

Abstract
This paper presents a structured approach to support the development of self-organized industrial symbiosis, the Toolkit for Industrial Symbiosis. Developed within MAESTRI project, it provides a set of tools and methods to help companies gain value from wasted resources and contributes to MAESTRI goal of advancing the sustainability of European manufacturing and process industry. A participatory approach was taken for its development. The ultimate objective of this work is to encourage companies to change their attitude and consider waste as a resource and potential source for value creation. © Springer Nature Switzerland AG 2019.

Abstract
In make-to-order (MTO)/engineer-to-order (ETO) business environments multiple customer-oriented projects compete for and share resources through interdependent engineering and production activities. Deep knowledge of critical dimensions that affect performance is key in this context. For this, we propose a set of determinants - workload, complexity, outsourcing, design reuse, project type, and knowledge/experience with technology, that impact performance. These determinants are input to an extended hybrid simulation model using system dynamics (SD), discrete event simulation (DES) and agent-based simulation (ABS) that tackles the needs imposed by activities of very different nature, as the project development and manufacturing/assembly operations. The hybrid model is applied to the case of an advanced manufacturing company. Through Monte Carlo sampling, the influence of different combinations of determinants in the performance variability is assessed. A correlation analysis shows evidence of association between all performance determinants and the project time and cost, while no evidence of association between the design reuse and project type determinants and the manufacturing and assembly time.

Abstract