BovDB: A data set of stock quotes for Machine Learning on all companies from B3 between 1995 and 2020

Stock markets are responsible for the movement of huge amounts of financial resources around the world. This market generates a high volume of transaction data, which after being analyzed are very useful for many applications. In this paper we present BovDB, a data set that was built considering as source the Brazilian Stock Exchange (B3) with information related to the years between 1995 and 2020. We have approached the events’ impact on the stocks by applying a cumulative factor to correct prices. The results were compared with public data from InfoMoney and BR Investing, showing that our methods are valid and in accordance with the market standards. BovDB data set can be used as a benchmark for different applications and is publicly available for any researcher on GitHub.

Smallpox and the Epidemiological Heritage of Modern Japan: Towards a Total History

This article examines one of the long-term structural forces that contributed to the making of public health in Modern Japan. My overall argument is that the history of public health should be conceived as a total history, encompassing not just political, administrative, and scientific factors but also natural, social, and economic factors. Elsewhere I have discussed two of these factors in some detail, both of which were long-term structural forces resulting from the interactions of different realms: 1) the effect of the topography and the pattern of the use of land; and 2) the effect of the market as a medium for people's behaviour seeking the prevention of the disease. Here I will argue that the Japanese long-term experience of diseases provided another structural force that shaped public health in Japan. The long-term cumulative factor can be called the ‘epidemiological heritage’ of Japan.