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Explores the ever-present experiences of risk that characterized the daily existence of individuals, communities, and societies in the late Roman world Living with Risk in the Late Roman World explores the ever-present experiences of risk that characterized the daily existence of individuals, communities, and societies in the late Roman world (late third century CE through mid-sixth century CE). Recognizing the vital role of human agency, author Cam Grey bases his argument on the concept of the riskscape: the collection of risks that constitute everyday lived experience, the human perception of those risks, and the actions that exploit, mitigate, or exacerbate them. In contrast to recent gra...
Aquatic plants play a critically important role in maintaining ecosystem health. They are natural biological filters in freshwater and estuarine wetlands; they contribute to the reproductive success of many organisms, some of which are harvested for food; they assist in flood control; and they are prominent elements in the aesthetics and recreational use of freshwater and estuarine habitats. Despite this globally recognized importance, wetlands have faced and continue to face threats from the encroachment of human activities. The Biology of Aquatic and Wetland Plants is a thorough and up-to-date textbook devoted to these plants and their interactions with the environment. The focus is on bot...
The first history of Lake Tanganyika and of eastern Africa's relationship with the wider Indian Ocean World during the nineteenth century.
Watersheds, supplying crucial ecosystem services to humans, seem to be a logical territorial unit to integrate societal benefits and environmental needs in order to evaluate the sustainability of natural resource use patterns. Based on this belief the book is an attempt to initiate a comprehensive environmental security assessment in the basin of the Azov Sea, shared by Russia and Ukraine. Though the region provides a variety of essential services and plays a strategic role in national and international development plans, it has been excluded from most regional environmental discussions. At the same time there is an alarming degradation rate of basin freshwater ecosystems that has occurred d...
An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones. Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate “rules of thumb.” A remarkably rich theory has evolved around boosting, with connections to a range of topics, including statistics, game theory, convex optimization, and information geometry. Boosting algorithms have also enjoyed practical success in such fields as biology, vision, and speech processing. At various times in its history, boosting has been perceived as mysterio...