For over a hundred years, the story of assimilation has animated the nation-building project of the United States. And still today, the dream or demand of a cultural "melting pot" circulates through academia, policy institutions, and mainstream media outlets. Noting society’s many exclusions and erasures, scholars in the second half of the twentieth century persuasively argued that only some social groups assimilate. Others, they pointed out, are subject to racialization. In this bold, discipline-traversing cultural history, Catherine Ramírez develops an entirely different account of assimilation. Weaving together the legacies of US settler colonialism, slavery, and border control, Ramírez challenges the assumption that racialization and assimilation are separate and incompatible processes. In fascinating chapters with subjects that range from nineteenth century boarding schools to the contemporary artwork of undocumented immigrants, this book decouples immigration and assimilation and probes the gap between assimilation and citizenship. It shows that assimilation is not just a process of absorption and becoming more alike. Rather, assimilation is a process of racialization and subordination and of power and inequality.

Salins argues that assimilation is part of a larger American social compact that has flourished throughout our history, and to abandon it now would destroy the foundations of our prosperity, our social cohesion, and, ultimately, American culture itself. He shows how successive immigrant populations have become Americanized, despite being considered "alien" in their time-notably, the Germans, Irish, Italians, and Jews-and how assimilation continues to work today among Hispanics and Asians. The book sheds light on the threats to assimilation from the left (multiculturalism) and the right (nativism), revealing the perilous consequences of each.

The (not-so-strange) strangers in their midst -- Salsa and ketchup : cultural exposure and adoption -- Spotlight on white : fade to black -- Living with difference and similarity -- Living locally, thinking nationally

In this age of multicultural democracy, the idea of assimilation--that the social distance separating immigrants and their children from the mainstream of American society closes over time--seems outdated and, in some forms, even offensive. But as Richard Alba and Victor Nee show in the first systematic treatment of assimilation since the mid-1960s, it continues to shape the immigrant experience, even though the geography of immigration has shifted from Europe to Asia, Africa, and Latin America. Institutional changes, from civil rights legislation to immigration law, have provided a more favorable environment for nonwhite immigrants and their children than in the past. Assimilation is still driven, in claim, by the decisions of immigrants and the second generation to improve their social and material circumstances in America. But they also show that immigrants, historically and today, have profoundly changed our mainstream society and culture in the process of becoming Americans. Surveying a variety of domains--language, socioeconomic attachments, residential patterns, and intermarriage--they demonstrate the continuing importance of assimilation in American life. And they predict that it will blur the boundaries among the major, racially defined populations, as nonwhites and Hispanics are increasingly incorporated into the mainstream.

Data assimilation is an approach that combines observations and model output, with the objective of improving the latter. This book places data assimilation into the broader context of inverse problems and the theory, methods, and algorithms that are used for their solution. It provides a framework for, and insight into, the inverse problem nature of data assimilation, emphasizing why and not just how. Methods and diagnostics are emphasized, enabling readers to readily apply them to their own field of study. Readers will find a comprehensive guide that is accessible to nonexperts; numerous examples and diverse applications from a broad range of domains, including geophysics and geophysical flows, environmental acoustics, medical imaging, mechanical and biomedical engineering, economics and finance, and traffic control and urban planning; and the latest methods for advanced data assimilation, combining variational and statistical approaches.

"American acquisition of the Philippines in 1898 became a focal point for debate on American imperialism and the course the country was to take now that the Western frontier had been conquered. U.S. military leaders in Manila, unequipped to understand the aspirations of the native revolutionary movement, failed to respond to Filipino overtures of accommodation and provoked a war with the revolutionary army. Back home, an impressive opposition to the war developed on largely ideological grounds, but in the end it was the interminable and increasingly bloody guerrilla warfare that disillusioned America in its imperialistic venture. This book presents a searching exploration of the history of America's reactions to Asian people, politics, and wars of independence." -- Book Jacket

Publisher description

This book provides a systematic treatment of the mathematical underpinnings of work in data assimilation, covering both theoretical and computational approaches. Specifically the authors develop a unified mathematical framework in which a Bayesian formulation of the problem provides the bedrock for the derivation, development and analysis of algorithms; the many examples used in the text, together with the algorithms which are introduced and discussed, are all illustrated by the MATLAB software detailed in the book and made freely available online. The book is organized into nine chapters: the first contains a brief introduction to the mathematical tools around which the material is organized; the next four are concerned with discrete time dynamical systems and discrete time data; the last four are concerned with continuous time dynamical systems and continuous time data and are organized analogously to the corresponding discrete time chapters. This book is aimed at mathematical researchers interested in a systematic development of this interdisciplinary field, and at researchers from the geosciences, and a variety of other scientific fields, who use tools from data assimilation to combine data with time-dependent models. The numerous examples and illustrations make understanding of the theoretical underpinnings of data assimilation accessible. Furthermore, the examples, exercises and MATLAB software, make the book suitable for students in applied mathematics, either through a lecture course, or through self-study.

This volume is a raw and unpretentious account of the battles faced by Kieran Ali, an Asian girl growing up in London. It tackles drug addiction, gender inequality, arranged marriage and religion but is ultimately a story about the love and freedom that is seldom afforded to young Asian women living between two cultures.

This book, first published in 2002, is a graduate-level text on numerical weather prediction, including atmospheric modeling, data assimilation and predictability.