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This is the first complete modern survey of the institution of slavery in Brazil and how it affected the lives of enslaved Africans. It is based on major new research on the institution of slavery and the role of Africans and their descendants in Brazil. This book aims to introduce the reader to this latest research, both to elucidate the Brazilian experience and to provide a basis for comparisons with all other American slave systems.
This book examines the meat provision system of Rio de Janeiro from the 1850s to the 1930s. Until the 1920s, Rio was Brazil’s economic hub, main industrial city, and prime consumer market. Meat consumption was an indicator of living standards and a matter of public concern. The work unveils that in the second half of the nineteenth century, the city was well supplied with red meat. Initially, dwellers relied mostly on salted meat; then, in the latter decades of the 1800s, two sets of changes upgraded fresh meat deliveries. First, ranching expansion and transportation innovation in southeast and central-west Brazil guaranteed a continuous flow of cattle to Rio. Second, the municipal centralization of meat processing and distribution made its provision regular and predictable. By the early twentieth century, fresh meat replaced salted meat in the urban marketplace. This study examines these developments in light of national and global developments in the livestock and meat industries.
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The two-volume set LNAI 12319 and 12320 constitutes the proceedings of the 9th Brazilian Conference on Intelligent Systems, BRACIS 2020, held in Rio Grande, Brazil, in October 2020. The total of 90 papers presented in these two volumes was carefully reviewed and selected from 228 submissions. The contributions are organized in the following topical section: Part I: Evolutionary computation, metaheuristics, constrains and search, combinatorial and numerical optimization; neural networks, deep learning and computer vision; and text mining and natural language processing. Part II: Agent and multi-agent systems, planning and reinforcement learning; knowledge representation, logic and fuzzy systems; machine learning and data mining; and multidisciplinary artificial and computational intelligence and applications. Due to the Corona pandemic BRACIS 2020 was held as a virtual event.
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