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The history of the public library is long and rich, and continues to reflect this institution's initial mission: to respond to the needs of an evolving democratic society. From its early days as a subscription service for the middle-class, through its evolution to become an educational site for the lower-classes and new immigrants, the public library has served as a touch-stone for urban industrial society in North America (Lerner, 1998, p. 138; Shera, 1974). Over the past century, public libraries have evolved to respond to the growing needs of the communities they serve and continue to do so with recent advances in technologies (such as DVDs, electronic books, the Internet, etc.), and with a more global outlook on the ways that people seek and share information. Indeed, the public library's constituents today are exceedingly diverse, including children and adults from a broad range of socio-economic, cultural, and educational backgrounds, all of whom seek information for a variety of personal and work-related purposes. The fact that public libraries have been fulfilling patrons' information needs for well over a century is a testament to their enduring success and versatility as information providers, and also points to the overall effectiveness of public librarians as intermediaries in the provision process.

In a pandemic framework (COVID-19), this chapter explores the impact of the global economy and socio-cultures concerning three axes: recreational, tourism, and hospitality. Although we slowly see an economic revival, it is well known that this sector of study is very susceptible to being affected by the context of nations. Following restrictions and measures taken by governments around the world to reduce the number of cases of coronavirus infections, many nations closed their borders, affecting international travel and by 2020 tourism had been reduced to the near cessation of operations due to the imminent fear of this poorly studied disease, and the service sector was negatively affected. It should be added that, according to the World Tourism Organization's projections, a decrease of between 20 and 30% is forecast for 2020 compared to the previous year.

Significant evidence in the literature points to money demand instability and therefore inaccurate forecasting. In view of this issue, this chapter seeks to use a method, innovative for money demand literature, that is, the machine learning model to predict money demand. Specifically, this chapter uses Random Forest Regression to predict money demand using monthly data in the Indian context over the period April-1996 to December-2018 using the variables usually used in literature. The chapter finds that in money demand prediction, the Random Forest Regression performs fairly well. The results are also compared to traditional models and it is found that the Random Forest Regression model has the potential to enhance the prediction of money demand over what traditional models predicts.

COVID-19 has spread so quickly and uninterruptedly that it has put great pressure on the capacities of emerging countries, especially the Latin America area. Its impacts that will have on businesses and entrepreneurs, it can be inferred that the duration of this crisis is still uncertain; thus, the aim on this chapter is to aggregate the current knowledge on how COVID-19 has impacted the entrepreneurship, and their expectations in the short and medium term. We examined 37 articles published between 2020 and 2021. To develop the discussion, we conducted descriptive review including year, affiliation of the first author, type of study, research methods in reviewed papers, and the origin of the empirical sample. We follow our thematic analysis within four broad categories: (1) crisis; (2) digitalization; (3) education; and (4) employment. Our results show that the call to address grand challenges, particularly relate to digitalization, public policies focused on supporting entrepreneurs and education in entrepreneurship in the Latin America context.