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White men represent power in white supremacist patriarchy. What happens when literary texts depict them as disabled? Embodying more than just crises of masculinity, white male disability is a reckoning with old orders, provoking new perspectives on life and love in the modern era.

Archaeology has always been marked by its particular care, obligation, and loyalty to things. While archaeologists may not share similar perspectives or practices, they find common ground in their concern for objects monumental and mundane. This book considers the myriad ways that archaeologists engage with things in order to craft stories, both big and small, concerning our relations with materials and the nature of the past. Literally the \"science of old things,\" archaeology does not discover the past as it was but must work with what remains. Such work involves the tangible mediation of past and present, of people and their cultural fabric, for things cannot be separated from society. Things are us. This book does not set forth a sweeping new theory. It does not seek to transform the discipline of archaeology. Rather, it aims to understand precisely what archaeologists do and to urge practitioners toward a renewed focus on and care for things.

An innovative new anthology exploring how science fiction can motivate new approaches to economics

Background It is evident that public health education interventions to promote the use of condoms against HIV infections in Ghana have yielded modest results. However, existing studies in the field of sexual and reproductive health in Ghana have failed to account for differences in risk preferences of individuals. This study fills the gap by investigating how individuals' risk preferences predict their behaviour toward using condoms against HIV in Ghana. Method Conceptually, the study followed the Grossman health capital theoretical model for risk preference and health behaviour nexus. Data were obtained from the most recent Ghana Living Standards Survey Round 7 (GLSS 7), conducted in 2017. Using data from GLSS 7, a probit regression model was estimated to show how the risk preferences of individuals that did not abstain from sex predicted their use of condoms against HIV. To ensure robustness, two scenarios of declared risk preferences were used to predict the use of condom behaviour against HIV. Results Probit regression estimation shows that the risk preferences of individuals that did not abstain from sex significantly predicted their use of condoms against HIV in Ghana. Even though the study found that the predicted probability of using a condom reduces among risk-averse individuals that do not abstain from sex, not using a condom against HIV was found to be worse among risk lovers. Conclusion The study provides empirical evidence that public health education against HIV/AIDS in Ghana cannot continue to ignore the risk preference of individuals. The results of this study have immediate implications, first for a comprehensive and continuous measurement of risk preferences among Ghanaians in major household surveys going forward. At the moment, the latest round of the GLSS is just about the only household survey in Ghana that has attempted to collect some data on individual time and risk preferences using only hypothetical monetary rewards. Second is the immediate consideration of individual risk preferences in public health education campaigns against HIV/AIDS in Ghana.

This work concerns Markov decision chains on a denumerable state space endowed with a bounded cost function. The performance of a control policy is assessed by a long-run average criterion as measured by a risk-seeking decision maker with constant risk-sensitivity. Besides standard continuity–compactness conditions, the framework of the paper is determined by the following conditions: (i) the state process is communicating under each stationary policy, and (ii) the simultaneous Doeblin condition holds. Within this framework it is shown that (i) the optimal superior and inferior limit average value functions coincide and are constant, and (ii) the optimal average cost is characterized via an extended version of the Collatz–Wielandt formula in the theory of positive matrices.

Humans have always been interested in their origins, but historians have been reluctant to write about the long stretches of time before the invention of writing. In fact, the deep past was left out of most historical writing almost as soon as it was discovered. This breakthrough book, as important for readers interested in the present as in the past,brings science into history to offer a dazzling new vision of humanity across time. Team-written by leading experts in a variety of fields, it maps events, cultures, and eras across millions of years to present a new scale for understanding the human body, energy and ecosystems, language, food, kinship, migration, and more. Combining cutting-edge social and evolutionary theory with the latest discoveries about human genes, brains, and material culture, Deep History invites scholars and general readers alike to explore the dynamic of connectedness that spans all of human history. With Timothy Earle, Gillian Feeley-Harnik, Felipe Fernández-Armesto, Clive Gamble, April McMahon, John C. Mitani, Hendrik Poinar, Mary C. Stiner, and Thomas R. Trautmann

This work concerns with Markov decision processes on a denumerable state space. It is assumed that the performance of a control policy is measured by the average criterion associated with a risk-seeking controller with constant risk-sensitivity coefficient. The structural assumptions on the model ensure that the optimal average cost is constant, but it is possible that the optimalty equation does not admit a solution. In this context, a risk-sensitive version of the classical discounted approach is used to obtain convergent approximations to the optimal average cost, and to determine nearly optimal stationary policies.

Learning Love from a Tiger explores the vibrancy and variety of humans' sacred encounters with the natural world, gathering a range of stories culled from Christian, Muslim, Hindu, Mayan, Himalayan, Buddhist, and Chinese shamanic traditions. Readers will delight in tales of house cats who teach monks how to meditate, shamans who shape-shift into jaguars, crickets who perform Catholic mass, rivers that grant salvation, and many others. In addition to being a collection of wonderful stories, this book introduces important concepts and approaches that underlie much recent work in environmental ethics, religion, and ecology. Daniel Capper's light touch prompts readers to engage their own views of humanity's place in the natural world and question longstanding assumptions of human superiority.