Abstract
The reconstruction of the economic history of Brazil since independence from Portugal (1822) may lead to a new understanding of its economic growth. The deep-rooted idea that Brazil could have done better means there is a need to delve into each phase of its development. In this paper, we provide a very long-run perspective (1822-2019) of Brazil’s economic growth and process of real convergence. On the one hand, this review indicates that structural changes observed in the middle of the 20th century were crucial in promoting the country’s growth and real convergence with technologically advanced countries. On the other hand, poor institutional conditions and deficient human capital formation have emerged since colonial times as critical factors underlying Brazil’s inability to establish robust and sustainable economic growth.

Abstract
Virtual reality (VR) is still a field that is in constant development, and people are trying to use it to have a close representation of reality by creating immersive environments. However, despite the existence of some tools that have been adapted to work with VR, they require some experience to work with, and there is a considerable amount of resources that need to be spent to create and maintain the VR experiences, which prevents the adoption and use of all the benefits that VR can bring. This work proposes an architecture for an authoring tool that allows users to create their own virtual experiences without the need for an extensive understanding of it and use them to create a virtual training exercise. This paper uses a case study built upon a real training context scenario applied to the agroforestry field. To validate this proposal, a prototype was built and subject to usability and satisfaction tests that demonstrated the ease of understanding and learning of the interfaces and all the functionalities implemented.

Abstract
The rapid proliferation of Electric Vehicles (EVs) creates an inherent link between the previously independent transport and power sectors. This is especially relevant in the smart cities paradigm, which focuses on optimizing resource management using modern software tools and communication infrastructures. The optimal management of energy resources is of key importance, and with mobile EVs playing a pivotal role in smart city power flows, the coordination of energy management systems (EMSs) at their parking locations can bear global benefits. In this study the coordination between home energy management systems (HEMSs) and EV parking lot management systems (PLEMS) is proposed, modeled, and simulated, as a new contribution to earlier studies. The EMSs coordinate through partially sharing individual EV schedules and without sharing private information. Missing information is completed through public cloud repositories and services. The HEMS and PLEMS are implemented using mixed-integer linear programming (MILP). The proposed coordination framework is computationally implemented and simulated based on a real-life case study. The results show that the proposed EMS coordination framework is both technically beneficial for power grids and economically beneficial for EV owners.

Abstract
Many country's regions are rich in food-heritage. Within this, food products are often ex-libris of the regions and sustain ancestral traditions that make these regions known in the world. This reality materializes products of protected geographical origin and/or protected designation of origin. In the context of a society increasingly interested in the traditional, in respect for the environment, animal rights and the guarantee of authenticity, this paper proposes a conceptual model based on technology capable of guaranteeing the traceability of these products, as well as leveraging their valorization and, at the same time, it guarantees, to the different players of the supply chain, useful feedback on the perception of the consumer and his interests. This proposal will enhance the products by increasing information and services available to the consumer and will allow the process of creation, development and production of food products to be done in partnership with consumers. Even though our focus is on typical regional food products, our proposed model is suitable for any food supply chain.

Abstract
A key aspect of any hash map design is the problem of dynamically resizing it in order to deal with hash collisions. Compression in tree-based hash maps is the ability of reducing the depth of the internal hash levels that support the hash map. In this context, elasticity refers to the ability of automatically resizing the internal data structures that support the hash map operations in order to meet varying workloads, thus optimizing the overall memory consumption of the hash map. This work extends a previous lock-free hash trie map design to support elastic hashing, i.e., expand saturated hash levels and compress unused hash levels, such that, at each point in time, the number of levels in a path is adjusted, as closely as possible, to the set of keys that is stored in the data structure. To materialize our design, we introduce a new compress operation for hash levels, which requires redesigning the existing search, insert, remove and expand operations in order to maintain the lock-freedom property of the data structure. Experimental results show that elasticity effectively improves the search operation and, in doing so, our design becomes very competitive when compared to other state-of-the-art designs implemented in Java.

Abstract