Abstract
Software startups have a major role in the market challenging existing models and enabling the emergence of new technologies with high economic and social impact. This study aimed to explore this phenomenon by characterizing the processes and challenges that are placed in the software startups related to the workgroup in the entrepreneurial teams and in the context of their business activities. The study uses a qualitative approach through the realization of three case studies with Portuguese startups software. The study uses a qualitative approach through the realization of three case studies with startups software. The main results have demonstrated the high importance of human capital in these organizations that is leveraged through teamwork in teams formally established for this purpose, but above all, it is important to highlight the role that informal communication assumes in the growth process of these startups.

Abstract
Phasor Measurement Units (PMUs) in transmission systems is one of the most promising sources of data to increase situational awareness of network monitoring. However, the inclusion of PMU measurements along with the ones from traditional Supervisory Control and Data Acquisition (SCADA) systems to perform state estimation brings additional challenges, such as the vast difference in sampling rates and precision between these two types of measurements. This paper formally introduces a Bayesian inference approach in the form of a new State Estimator for transmission systems able to deal with the different sampling rates of those measurements. The proposed approach provides accurate state estimates even for buses that are not observable by PMU measurements, and when load variation occurs during the time interval between two SCADA data scans. Several simulation results (with IEEE transmission test systems) are used to illustrate the features of the proposed approach.

Abstract
Spinal cord injuries are one of the most traumatic situations with a major impact on a person's quality of life. This type of injury have a extremely impact in the performance of daily life activities not only due to motor alterations but also due to the appearance of neuropathic pain Throughout the rehabilitation process the evaluation and intervention methodologies are not very systematic and are not personalized. Thus, to bridge this gap, the VR4NeuroPain was developed a technology that associates virtual reality with a glove "GNeuroPathy". The glove "GNeuroPathy" allows the collection of physiological parameters, namely to identify the electrodermic activity (EDA) while the patient carries out activities in an immersive environment. The main objective of this article is to present the validation process of the "GNeuroPathy" in clinical context. "GNeuroPathy" was applied to a group of 17 individuals with incomplete spinal cord injury. The results showed that "GNeuroPathy" is easy to apply and is suitable for comfort and texture. Data were also collected from EDA and it was found that there is a significant difference in signal amplitude in patients with low and high functionality. © 2019 by SCITEPRESS - Science and Technology Publications, Lda.

Abstract
Collecting, storing, integrating and transforming data, together with the problem of security and privacy, are topics that present great challenges for society. The needs of the industry in general and agri-food in particular in the mushroom production sector, due to their specificities, requires the adoption of emerging technologies to make them more productive and more competitive in this global market. In this type of industry it is important, and essential, the control of the environmental variables of the production areas and the way they are presented, because the information associated with these variables would provide an important complement to the established production control system. In this paper we propose a conceptual approach for an extension to a mushroom farm distributed process control system with IoT and blockchain integration that not only allows to collect distributed data on the environmental indicators inherent to the mushrooms production, but also complement the already existent production control system, which is extremely important for the overall success of the farm management information system used by the group managers.

Abstract
Sharing and managing knowledge is an essential resource for the success of a Scrum team. However, widely known knowledge management practices typically address only team level collaboration, which cannot be easily scaled to multiple Scrum teams. In this sense, this paper conducts an empirical study at one of the largest information technology companies operating in Portugal, in which multiple Scrum teams working locally and in remote offices develops e-commerce solutions for the African market. Several facilitators’ knowledge practices are identified and discussed, and also the main challenges and difficulties of scaling Scrum practices for large-scale teams are addressed. © 2019, © 2019 Fernando Almeida, Emanuel Miranda and João Falcão.

Abstract
Switched reluctance machines (SRM) are simple, robust and fault tolerant machines, usually operating under strong nonlinear characteristics. Hence, modeling this machine is a most demanding task. While magnetic saturation is often addressed, hysteresis effect is usually disregarded. In order to include this phenomenon, an SRM drive simulation model was built, where magnetization characteristics are generated through the Jiles-Atherton (J-A) hysteresis model. SRM losses estimation is a challenging task, which demands continuous research efforts. This paper intends to investigate hysteresis impact on SRM copper losses. Due to the machine features, skin and proximity effects are considered. Different steady-state operation scenarios are simulated and compared.