By the 1950s the percentage of all economic doctorates awarded to women had dropped to a record low of less than five percent. By presenting interviews with the female economists who received PhD's between 1950 and 1975, this book provides a richer understanding of the sociology of the economics profession. Their post-war experiences as family members, students and professionals, illustrate the challenges that have been faced by women, including both white and African-American women, in a white male dominated profession. Engaging and insightful, the impressive scope of philosophical perspectives, career paths, research interests, feminist inclinations, and observations about the economics profession and women's place within it, will appeal to anyone interested in economics, sociology and gender studies.
By the 1950s the percentage of all economic doctorates awarded to women had dropped to a record low of less than five percent. By presenting interviews with the female economists who received PhD's between 1950 and 1975, this book provides a richer understanding of the sociology of the economics profession. Their post-war experiences as family members, students and professionals, illustrate the challenges that have been faced by women, including both white and African-American women, in a white male dominated profession. Engaging and insightful, the impressive scope of philosophical perspectives, career paths, research interests, feminist inclinations, and observations about the economics profession and women's place within it, will appeal to anyone interested in economics, sociology and gender studies.
This book examines the abilities of new machine learning models for predicting ore grade in mining engineering. A variety of case studies are examined in this book. A motivation for preparing this book was the absence of robust models for estimating ore grade. Models of current books can also be used for the different sciences because they have high capabilities for estimating different variables. Mining engineers can use the book to determine the ore grade accurately. This book helps identify mineral-rich regions for exploration and exploitation. Exploration costs can be decreased by using the models in the current book. In this book, the author discusses the new concepts in mining engineering, such as uncertainty in ore grade modeling. Ensemble models are presented in this book to estimate ore grade. In the book, readers learn how to construct advanced machine learning models for estimating ore grade. The authors of this book present advanced and hybrid models used to estimate ore grade instead of the classic methods such as kriging. The current book can be used as a comprehensive handbook for estimating ore grades. Industrial managers and modelers can use the models of the current books. Each level of ore grade modeling is explained in the book. In this book, advanced optimizers are presented to train machine learning models. Therefore, the book can also be used by modelers in other fields. The main motivation of this book is to address previous shortcomings in the modeling process of ore grades. The scope of this book includes mining engineering, soft computing models, and artificial intelligence.
I feel I am the wandering Jew who has no place to which she belongs. I thought I could settle down, but can't imagine staying. Whenever I bought a bar of soap and two came in the package, I thought there would be no need to buy a package of two because I would never last through the second. Why? Because I knew I was returning to Iran -- tomorrow. So too, I would buy the smallest size of toothpastes and jars of oil. Putting down roots here is an impossibility." These are the words of one Iranian emigre, driven from Tehran by the revolution of 1979. They are echoed time and again in this powerful portrayal of loss and survival. Impelled by these word and her own concerns about nationality and identity, Zohreh Sullivan has gathered together here the voices of sixty exiles and emigres. The speakers come from various ethnic and religious backgrounds and range in age from thirteen to eighty-eight. Although most are from the middle class, they work in a variety of occupations in the United States. But whatever their differences, here they engage in remembering the past, producing a discourse about their lives, and negotiating the troubled transitions from one culture to another. Unlike man other Iranian oral history projects, Exiled Memories looks at the reconstruction of memory and identity through diasporic narratives, through a focus on the Americas rather than on Iran. The narratives included here reveal the complex ways in which events and places transform identities, how overnight radical s become conservatives, friends become enemies, the strong become weak. Indeed, the narratives themselves serve this function -- serving to transfer or transform power and establish credibility. They reveal a diverse group of people in the process of knitting the story of themselves with the story of the collective after it has been torn apart.
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