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This book addresses the puzzle of why the World Bank was unable to effect sweeping neoliberal health reforms in Latin America from the 1980s onward. Through the use of quantitative regional data together with interview and archival data collected during fieldwork in Argentina, Costa Rica, Peru, and Washington DC, this book argues that the answer to this puzzle is twofold. First, the World Bank has not promoted a uniformly neoliberal, monolithic agenda in health. Second, countries’ autonomy and capacity in this sector shape how the World Bank is involved in reforms. Finally, the book distinguishes neoliberal ends from means in health sector reform and traces changes in “banking on health” over time.
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Scheduling is defined as the process of assigning operations to resources over time to optimize a criterion. Problems with scheduling comprise both a set of resources and a set of a consumers. As such, managing scheduling problems involves managing the use of resources by several consumers. This book presents some new applications and trends related to task and data scheduling. In particular, chapters focus on data science, big data, high-performance computing, and Cloud computing environments. In addition, this book presents novel algorithms and literature reviews that will guide current and new researchers who work with load balancing, scheduling, and allocation problems.
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