This book explores Native American literary responses to biomedical discourses and biomedicalization processes as they circulate in social and cultural contexts. Native American communities resist reductivism of biomedicine that excludes Indigenous (and non-Western) epistemologies and instead draw attention to how illness, healing, treatment, and genetic research are socially constructed and dependent on inherently racialist thinking. This volume highlights how interventions into the hegemony of biomedicine are vigorously addressed in Native American literature. The book covers tuberculosis and diabetes epidemics, the emergence of Native American DNA, discoveries in biotechnology, and the problematics of a biomedical model of psychiatry. The book analyzes work by Louise Erdrich, Sherman Alexie, LeAnne Howe, Linda Hogan, Heid E. Erdrich, Elissa Washuta and Frances Washburn. The book will appeal to scholars of Native American and Indigenous Studies, as well as to others with an interest in literature and medicine.

Artificial Intelligence Medicine: Technical Basis and Clinical Applications presents a comprehensive overview of the field, ranging from its history and technical foundations, to specific clinical applications and finally to prospects. Artificial Intelligence (AI) is expanding across all domains at a breakneck speed. Medicine, with the availability of large multidimensional datasets, lends itself to strong potential advancement with the appropriate harnessing of AI. The integration of AI can occur throughout the continuum of medicine: from basic laboratory discovery to clinical application and healthcare delivery. Integrating AI within medicine has been met with both excitement and scepticism. By understanding how AI works, and developing an appreciation for both limitations and strengths, clinicians can harness its computational power to streamline workflow and improve patient care. It also provides the opportunity to improve upon research methodologies beyond what is currently available using traditional statistical approaches. On the other hand, computers scientists and data analysts can provide solutions, but often lack easy access to clinical insight that may help focus their efforts. This book provides vital background knowledge to help bring these two groups together, and to engage in more streamlined dialogue to yield productive collaborative solutions in the field of medicine.

This book honors the work of Ruut Veenhoven, who has been a pioneer and leader in the field of happiness studies for the past 50 years. It brings together experts in the field discussing Veenhoven's work as well as taking up themes from his workshops over the years to analyze how and where the field has expanded following his research. Veenhoven's contributions include developing theories and measuring instruments, creating the world's first and largest database of happiness research, founding the world's first and most frequently cited Journal of Happiness Studies, and student development in and popularization of the field of happiness studies. He has extensive publications through the International Sociological Association and the International Society for Quality of Life Studies, and the research field of happiness studies would not have become as broad today without his enormous contributions. Friends and former students of Veenhoven provide both academic and anecdotal discussions in this festschrift, which is important for anyone interested in the development of happiness research.

Science is not a collection of facts. Science is the process by which we draw inferences from facts. Volume I of Logic and Critical Thinking in the Biomedical Sciences invites readers to linger over a collection of common observations to see what inferences can be drawn, when one applies a bit of deductive logic. If we just think about what we observe, it is often possible to discover profound biomedical insights. Volumes 1 and 2 of Logic and Critical Thinking in the Biomedical Sciences are written for biomedical scientists and college-level students engaged in any of the life sciences, including bioinformatics and related data sciences.

Presenting both the concerns and problems of beer consumption as well as the emerging evidence of benefit, Handbook of Beer Health and Disease Prevention offers a balanced view of today's findings and the potential of tomorrow's research.
From a beverage of warriors to a cheap and affordable commodity, beer has been a part of our consumption for nearly 8000 years. Like most alcoholic drinks it has been prone to abuse and in some counties the per capita consumption of beer has led to considerable health risks.
However, just as wine in moderation has been proposed to promote health, research is showing that beer -- and the ingredients in beer -- can have similar impact on improving health, and in some instances preventing disease. For example, some cancers like bladder cancers and the incidence of cardiovascular disease are reported to be lower in moderate beer drinkers. Furthermore there is a considerable body of emerging evidence to show that the anti-oxidant capacity of beers is high. It has been argued by some that the total antioxidants ingested in some beer drinkers equates that consumed by red wine drinkers.
The key to this, of course, is understanding and this volume presents a collection of the most current writings on the subject of beer and it's potential in health.

Winner of the 2009 Best Drinks and Health Book in the World - "Gourmand World Cookbook Awards

"*The most comprehensive coverage of the broad range of topics related to the role of beer and beer ingredients in health *Addresses the impact of beer and beer ingredients on cancers, cardiovascular disease, anti-oxidant benefits, and other health related concerns Presents a holistic view from beer brewing to the isolation of beer-related compounds. *Appropriate for scientists and researchers from a variety of fields and industries from beer production to health-care professionals *Consistent organization of each chapter provides easy-access to key points and summaries *Self-contained chapters written by subject matter experts