Abstract
This paper presents two innovative Fault-Ride-Through (FRT) strategies suited for Smart-Transformers (ST) supplying hybrid AC/DC distribution grids within a microgrid environment. The first strategy is suited for ST without a local energy storage, where its Medium Voltage (MV) inverter is operated in grid-tied mode. The proposed approach relies on the voltage sensitivity of resources connected to the ST fed distribution networks aiming to limit the MV inverter current. The second strategy is suited for ST incorporating local energy storage and operating its MV inverter in grid-forming mode, thus enabling islanding operation of a MV grid section. The proposed FRT strategy aims to regulate ST's output voltage by calculating the maximum voltage drop in the coupling filter in order to control the output current. The proposed strategies are evaluated exploiting appropriated simulation models and extensive operating conditions.

Abstract
Optical networks-on-chip (ONoCs) are a promising solution for high-performance multicore integration with better latency and bandwidth than traditional electrical NoCs. Wavelength-routed ONoCs (WRONoCs) offer yet additional performance guarantees. However, WRONoC design presents new EDA challenges which have not yet been fully addressed. So far, most topology analysis is abstract, i.e., overlooks layout concerns, while for layout the tools available perform place and route (P&R) but no topology optimization. Thus, a need arises for a novel optimization method combining both aspects of WRONoC design. In this article, such a method, PSION+, is laid out. This new procedure uses a linear programming model to optimize a WRONoC physical layout template to optimality. This template-based optimization scheme is a new idea in this area that seeks to minimize problem complexity while keeping design flexibility. A simple layout template format is introduced and explored. Finally, multiple model reduction techniques to reduce solver run-time are also presented and tested. When compared to the state-of-the-art design procedure, results show a decrease in maximum optical insertion loss of 41%.

Abstract
The teaching process of auscultation is complex in itself, and difficult to operate since it requires a wide spectrum of patients with the most diverse cardiopulmonary pathologies, readily available during teaching and assessment hours, for an ever-growing number of medical students. In this paper we will focus on how virtual patient technologies can promote the evolution of the current teaching methodologies, promoting better learning. The chosen methodology was: a) a review of available medical simulation technologies for auscultation teaching; b) a case study illustrating how a virtual patient simulation technology has been successfully used to teach and certify auscultation skills. Results show the positive impact and high acceptability of virtual patient simulation technologies in the teaching of auscultation to medical students.

Abstract
This paper presents a new and promising strategy organized in two stages to solve the dynamic multiyear transmission expansion planning, TEP, problem. Specifically, the first stage is related to the reduction of the search space size and it is conducted by a novel constructive heuristic algorithm (CHA). The second one is responsible for the refinement of the optimal solution plan and it uses a novel evolutionary algorithm based on the best features of particle swarm optimization (PSO) and genetic algorithm (GA). The planning problem is modelled as a dynamic and multiyear approach to ensure that it keeps a holistic view over the entire planning horizon and it aims at minimizing the total system costs comprising the investment and operation costs. Additionally, the N-1 contingency criterion is also considered in the problem. The developed approach was tested using the IEEE 118-Bus test system and the obtained results demonstrate its advantages in terms of efficiency and required computational time. Furthermore, the results demonstrated that the novel strategy can enable the utilization of the AC optimal power flow (OPF) in a faster and reliable way when compared to the standard and widespread DC-OPF model.

Abstract
Purpose: The purpose of this paper is to present the results of a research on the importance of Employer Branding (EB) for corporate brand success in the context of small and medium businesses (SME), from the perspective of the employees compared to the founders, considering a set of stable variables. This is an ongoing process through which company employees want to understand "who" and "what" is behind the brand's value proposition. Methodology: A qualitative methodology was used based on interviews with open questions in an exploratory case study, to gather as much information as possible and without constraints. This was properly supported by a literature review, from published works, academic works, as well as papers on employer branding. This approach is part of the scientific paradigm of realism, also known as critical realism, and is therefore an appropriate method in marketing and management research. Findings: The findings of this research demonstrate that EB seems not to be contributing for a successful corporate brand in the SME context. For that purpose, a medium-and long-term marketing and communication plan is needed, particularly regarding a brand plan, duly defined and implemented. The mere market/sector leadership cannot be viewed as a source in the long run for SME. If no one believes or bets on brand equity appreciation, EB won't certainly be potentiated. In this way, there is a risk that this type of organizations would become weak entities with no sense of belonging. Originality/value: Because there is a lack of applied scientific research on this topic in the context of SME, the aim was to understand EB from a specific case study, enabling the acquisition of knowledge on how this concept works and is applied (or not) in practice. Practical implications: This research aimed at contributing to a better strategic alignment of EB, from the institutional level to the operational level, passing through the intermediate level, in SME. It appears that the managers/administrators/directors in SME don't have a holistic perspective of the brand. It also emphasizes the great importance of employees in building the brand in this particular context. Research limitations: This investigation needed a deeper market analysis, namely of direct competitors. It was not possible to obtain enough information to carry out a more reliable analysis. It would be very interesting to understand what led some collaborators to leave the studied company and move to its direct competitors, as well as to realize what makes others leave the competitors or return to the company.

Abstract
This paper presents a method capable of detecting and segmenting pulmonary nodules in clinical computed tomography images, using UNet convolutional neural network powered by The Lung Image Database Consortium image collection - LIDC-IDRI, that in the training process was submitted to different training tests, where for each of them, their hyper-parameters were modified so that the results could be collected from different media, getting quite satisfactory results in the segmentation task, highlighting the areas of interest almost perfectly, resulting in 91.61% on the IoU (Intersection over Union) metric.