Abstract
We introduce the concept of the envelope dyadic Green's function (EDGF) and present a formalism to study the propagation of electromagnetic fields with slowly varying amplitude (EMFSVA) in dispersive anisotropic media with two dyadic constitutive parameters: the dielectric permittivity and the magnetic permeability. We find the matrix elements of the EDGFs by applying the formalism for uniaxial anisotropic metamaterials. We present the relations for the velocity of the EMFSVA envelopes which agree with the known definition of the group velocity in dispersive media. We consider examples of propagation of the EMFSVA passing through active and passive media with the Lorentz and the Drude type dispersions, demonstrating beam focusing in hyperbolic media and superluminal propagation in media with inverted population. The results of this paper are applicable to the propagation of modulated electromagnetic fields and slowly varying amplitude fluctuations of such fields through frequency dispersive and dissipative (or active) anisotropic metamaterials. The developed approach can be also used for the analysis of metamaterial-based waveguides, filters, and delay lines.

Abstract
We face a technology growth period that promotes STEM (Science, Technology, Engineering and Mathematics) as basic set of competences in diversified professional backgrounds. However, the process of teaching this areas is complex and abstract. We propose using game-based learning (GBL) for increased engagement and efficacy. More specifically, we use pervasive games as the drive of the learning process, promoting challenges in the context of the learner. To develop pervasive games, we require mobile devices (for location-based games) and a set of functionalities regarding location, time, and context of the user. In this article, we present the design of a mobile app to implement pervasive games. The perks of the mobile devices will be used to get unique and engaging challenges, to stimulate learning. Therefore, the learning process will become more enjoyable, and it will accomplish the goal of learning "anytime anywhere". This work sets upon previous work developed in the H2020 BEACONING project and the mobile app presented will allow other developers to create pervasive games for distinct areas of learning in a more engaging and effective way.

Abstract
When compared to other fields of research such as mergers and acquisitions, corporate divestment is under researched. There are at least three main reasons for this: the environment in which corporate divestment research has taken place has caused divestments to be understood as acquisition-driven rather than strategy-driven, the scope and distinct modes of divestment, and the difficulties in isolating the divestment phenomena. The objective of this chapter is to review the main theoretical approaches used in the study of divestment, to analyze their contribution to the field, and to discuss whether new approaches are needed in divestment research. Most studies of divestment are based on the concept that divestment is the outcome of poor unit performance, and the reversal of previous over-diversification and growth strategies that expanded the company size beyond optimal control. This chapter proposes four future lines of research into corporate divestment: the international business strategy, the network perspective, the stakeholders' perspective, and the institutional theory.

Abstract
Gemini Observatory has been awarded from the National Science Foundation a major fund to build a new state-of-the-art Multi Conjugate Adaptive Optics facility for Gemini North on Maunakea called GNAO. The current baseline system will use two lasers each split in two to create an artificial constellation of four laser guide star to measure the distortions caused by the atmosphere. At least two deformable mirror conjugated to 0km and the main altitude layer above Maunakea will be used to correct these distortions. The facility will be designed to feed future instrumentation, initially a near infrared imager and potentially a visiting 4-arm multi object adaptive optics IFU spectrograph.1 In this paper I will present the main characteristics of this exciting facility, its promises and its challenges. I will also present its conceptual design and results of trade studies conducted within the team and the Gemini Adaptive Optics Working Group. The expected first light is for October 2024.

Abstract
Value analysis methodology uses a structured and methodical job plan contemplating several steps to ensure success in its application. This paper intends to perspective the potential of value analysis application, namely in the furniture industry. To draw conclusions of this potential a case study was developed at an IKEA factory in Portugal. To characterize the customer needs in a clear language and to quantify the value of a product (a bookcase) produced in this factory, a value analysis study was developed. Functional analysis is the most known and distinctive phase of value analysis and is, nowadays, an autonomous tool. With this functional analysis, the authors intend to describe the functions that the product performs, to provide a better knowledge of the product, to evaluate the degree of satisfaction of the product through its functional performance and to facilitate the search for alternative solutions. The results obtained allowed us to reach some important conclusions about the application of value analysis in this type of industry and can be an initial step I to promote the use of this tool in this kind of industry.

Abstract
We consider privacy of obfuscated location reports that can be correlated through time/space to estimate the real position of a user. We propose a user-centric Location Privacy Preserving Mechanism (LPPM) that protects users not only against single reports, but also over time, against continuous reports. Our proposed mechanism, designated clustering geo-indistinguishability, creates obfuscation clusters to aggregate nearby locations into a single obfuscated location. To evaluate the utility of the mechanism, we resorted to a real use-case based on geofencing. Our evaluation results have shown a suitable privacy-utility trade-off for the proposed clustering geo-indistinguishability mechanism.