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When we think of kinship, we usually think of ties between people based upon blood or marriage. But we also have other ways—nowadays called ‘performative’—of establishing kinship, or hinting at kinship: many Christians have, in addition to parents, godparents; members of a trade union may refer to each other as ‘brother’ or ‘sister’. Similar performative ties are even more common among the so-called ‘tribal’ peoples that anthropologists have studied and, especially in recent years, they have received considerable attention from scholars in this field. However, these scholars tend to argue that performative kinship in the Tribal World is semantically on a par with kinship established through procreation and marriage. Harold Scheffler, long-time Professor of Anthropology at Yale University, has argued, by contrast, that procreative ties are everywhere semantically central, i.e. focal, that they provide bases from which other kinship ties are extended. Most of the essays in this volume illustrate the validity of Scheffler’s position, though two contest it, and one exemplifies the soundness of a similarly universalistic stance in gender behaviour. This book will be of interest to everyone concerned with current controversy in kinship and gender studies, as well as those who would know what anthropologists have to say about human nature.

Kinship. --- Anthropology. --- Human beings --- Ethnology --- Clans --- Consanguinity --- Families --- Kin recognition --- Primitive societies --- kinship --- gender --- anthropology --- harold scheffler --- Ethnography --- Family --- Genealogy --- Parallel and cross cousins --- Social sciences

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This reprint is a continuation of our previous reprint “Sustainable agricultural, biological, and environmental engineering applications” [ISBN 978-3-0365-2921-9], which was published in January 2022. The reprint contains research and review works focused on agricultural engineering technologies and applications. In this regard, the reprint covers topics including agricultural storage, quality evaluation of fruits, evaporative cooling and desiccant systems, solar coffee roasting, solar yogurt processing, greenhouse environment, greenhouse ventilation, greenhouse thermal requirements, aquaculture production system, bioreactor landfill, waste management, fertilization reduction in agriculture, sustainable porous surfaces, simulation and modeling, artificial intelligence, and machine learning. Such agricultural engineering studies are urgently needed in the 21st century, particularly from the perspective of the agriculture–energy–food security nexus.

Research & information: general --- Biology, life sciences --- Technology, engineering, agriculture --- greenhouse --- microclimate --- Bayesian optimization --- deep neural network --- roses yield --- Gaussian process --- gradient boosting --- pool boiling heat transfer coefficient --- sintered coated porous surfaces --- gaussian process --- gradient boosting regression trees --- response surface --- renovation index --- CFD simulation --- airflow --- evaporative cooling --- desiccant dehumidification --- agricultural storage --- air conditioning --- system performance --- lemon cordial --- microwave --- preservation --- green processing --- antioxidant potential --- renewable energy --- Scheffler concentrator reflector --- batch-type solar roaster --- response surface methodology --- coffee roasting --- municipal solid waste --- sanitary landfill --- open dumps --- waste to energy --- climate change --- yogurt processing --- solar energy --- solar-based heating and cooling --- thermal analysis --- vegetable yield --- nitrogen use efficiency --- nutrient leaching --- leaching-to-input ratio --- nitrogen fertilizer economic benefit --- environment --- eutrophication --- particulate fraction --- effluent --- treatment --- thermal screens --- heating demand --- TRNSYS --- greenhouse internal temperature --- building energy simulation --- longwave radiation --- soil total nitrogen --- BP neural network --- support vector machines --- spatial distribution --- remote sensing