Chicana/o history has reached an intriguing juncture. While academic and intellectual studies are embracing new, highly nuanced perspectives on race, class, gender, education, identity, and community, the field itself continues to be viewed as a battleground, subject to attacks from outside academia by those who claim that the discipline promotes racial hatred and anti-Americanism. Against a backdrop of deportations and voter suppression targeting Latinos, A Promising Problem presents the optimistic voices of scholars who call for sophisticated solutions while embracing transnationalism and the reality of multiple, overlapping identities. Showcasing a variety of new directions, this anthology spans topics such as growth and reassessment in Chicana/o history manifested in a disruption of nationalism and geographic essentialism, the impact of legal history, interracial relations and the experiences of Latino subpopulations in the US South, race and the politics of religious history, transborder feminism in the early twentieth century, and aspirations for a field that increasingly demonstrates the relational dynamics of cultural production. As they reflect on the state of their field, the contributors offer significant insights into sociology, psychology, anthropology, political science, education, and literature, while tracing the history of activism throughout the last century and debating the very concepts of “Chicano” and “Chicano history.” Although the political landscape is fraught with closed-off rhetoric, A Promising Problem encourages diversity of thought and opens the possibilities of historical imagination.

It is the seventies. Tom Phillips is a fugitive from the Navy and involved romantically with his best friends mother. What he doesnt know is that he is bi-polar and headed for a crash. This coming of age story tells of a young mans adventures as he struggles to wake up from the dream of his life.

A full-color storybook based on the new Thomas & Friends animated series Thomas & Friends: All Engines Go(TM) on Netflix and Cartoon Network! Includes more than 50 stickers for extra fun. Train-loving children ages 3 to 7 will be thrilled to read about the new faces and places Thomas meets on the Island of Sodor! Based on the new Thomas & Friends: All Engines Go(TM) animated series on Netflix and Cartoon Network, this beautifully illustrated paperback includes more than 50 bonus stickers!

This book constitutes the refereed proceedings of the Fifth Theory of Cryptography Conference, TCC 2008. It covers the paradigms, approaches and techniques used to conceptualize, define and provide solutions to natural cryptographic problems.

The goal in putting together this unique compilation was to present the current status of the solutions to some of the most essential open problems in pure and applied mathematics. Emphasis is also given to problems in interdisciplinary research for which mathematics plays a key role. This volume comprises highly selected contributions by some of the most eminent mathematicians in the international mathematical community on longstanding problems in very active domains of mathematical research. A joint preface by the two volume editors is followed by a personal farewell to John F. Nash, Jr. written by Michael Th. Rassias. An introduction by Mikhail Gromov highlights some of Nash’s legendary mathematical achievements. The treatment in this book includes open problems in the following fields: algebraic geometry, number theory, analysis, discrete mathematics, PDEs, differential geometry, topology, K-theory, game theory, fluid mechanics, dynamical systems and ergodic theory, cryptography, theoretical computer science, and more. Extensive discussions surrounding the progress made for each problem are designed to reach a wide community of readers, from graduate students and established research mathematicians to physicists, computer scientists, economists, and research scientists who are looking to develop essential and modern new methods and theories to solve a variety of open problems.

"Contracts casebook for law students"--

When it was first published in 1992, the first edition of Leadership for the Common Good presented a revolutionary approach to community and organizational leadership in a shared-power world. Now, in this completely revised and updated edition, Barbara Crosby and John Bryson expand on their proven leadership model and offer new insights and guidance to leaders. This second edition is a practical resource for a new generation of leaders and aspiring leaders and includes success stories, challenges, and real-world experience.

This challenging and innovative book examines the processes involved in the birth and development of new scientific ideas. The author has searched for strategies used by scientists for producing new theories, both those that yield a range of plausible hypotheses and ones that aid in narrowing that range. She goes on to focus on the development of the theory of the gene as a case study in scientific creativity. Her discussion of modern genetics greatly demystifies the philosophy of science, and establishes a realistic framework for understanding how scientists actually go about their work. This compelling work will interest a broad range of readers, including biologists and geneticists, along with historians and philosophers of science.

Modern technology has changed the way we live, work, play, communicate, fight, love, and die. Yet few works have systematically explored these changes in light of their implications for individual and social welfare. How can we conceptualize and evaluate the influence of technology on human well-being? Bringing together scholars from a cross-section of disciplines, this volume combines an empirical investigation of technology and its social, psychological, and political effects, and a philosophical analysis and evaluation of the implications of such effects.

Combinatorial (or discrete) optimization is one of the most active fields in the interface of operations research, computer science, and applied math ematics. Combinatorial optimization problems arise in various applications, including communications network design, VLSI design, machine vision, air line crew scheduling, corporate planning, computer-aided design and man ufacturing, database query design, cellular telephone frequency assignment, constraint directed reasoning, and computational biology. Furthermore, combinatorial optimization problems occur in many diverse areas such as linear and integer programming, graph theory, artificial intelligence, and number theory. All these problems, when formulated mathematically as the minimization or maximization of a certain function defined on some domain, have a commonality of discreteness. Historically, combinatorial optimization starts with linear programming. Linear programming has an entire range of important applications including production planning and distribution, personnel assignment, finance, alloca tion of economic resources, circuit simulation, and control systems. Leonid Kantorovich and Tjalling Koopmans received the Nobel Prize (1975) for their work on the optimal allocation of resources. Two important discover ies, the ellipsoid method (1979) and interior point approaches (1984) both provide polynomial time algorithms for linear programming. These algo rithms have had a profound effect in combinatorial optimization. Many polynomial-time solvable combinatorial optimization problems are special cases of linear programming (e.g. matching and maximum flow). In addi tion, linear programming relaxations are often the basis for many approxi mation algorithms for solving NP-hard problems (e.g. dual heuristics).