by Harrell R. Rodgers, Jr (2006)
"This new edition of American Poverty in a New Era of Reform provides a comprehensive examination of the extent, causes, effects, and costs of American poverty nearly ten years after the passage of the Personal Responsibility and Work Opportunity Reconciliation Act (PRWORA) in 1996. The author includes the most current available demographic, budget, evaluation, and program data to evaluate the impact of this sweeping legislation on federal and state policies, as well as on poverty populations. This revised edition takes into account the economic slowdown that took place in 2001 through 2003. It examines the state decisions about how to implement PRWORA, and how changes have affected the poverty population and overall welfare system. The author identifies the positive implications of welfare reform along with problems that must be addressed. New features for this edition include an appendix of Internet sources a state-by-state tables of poverty rates"--amazon.com.
Amitav Ghosh
Off the easternmost coast of India lies the immense archipelago of tiny islands known as the Sundarbans. Life there is precarious, ruled by the tides and the constant threat of attacks by Bengal tigers. Into this small community come two seekers from different worlds, whose lives collide with tragic consequences.
David M. Austin
Human services management occurs in nonprofit, governmental, and for-profit sectors and involves a wide variety of organizational structures. These diverse conditions shape the effort to produce and project services that directly affect the quality of life of individuals, families, and communities through social welfare, health and mental health, criminal justice, and educational services. David Austin begins with an examination of the historical development and distinctive characteristics of human service organizations, the variety of organizational and program structures at play, and the con.
Louis S. Hegedus
"The third edition of Transition Metals in the Synthesis of Complex Organic Molecules is a comprehensive revision and significant expansion of the second edition, but the clear and systematic approach to the formation, manipulation, and reactivity of organometallic complexes has been maintained. The book is ideal for advanced undergraduate and graduate students as well as all practicing synthetic organic chemists. It is written for organic chemists and offers an easy entry into the field of organo-transition metal chemistry without requiring background knowledge in inorganic chemistry."--Jacket.
M. Vidyasagar
Learning and Generalization provides a formal mathematical theory for addressing intuitive questions such as: How does a machine learn a new concept on the basis of examples? How can a neural network, after sufficient training, correctly predict the outcome of a previously unseen input? How much training is required to achieve a specified level of accuracy in the prediction? How can one identify the dynamical behaviour of a nonlinear control system by observing its input-output behaviour over a finite interval of time? In its successful first edition, A Theory of Learning and Generalization was the first book to treat the problem of machine learning in conjunction with the theory of empirical processes, the latter being a well-established branch of probability theory. The treatment of both topics side-by-side leads to new insights, as well as to new results in both topics. This second edition extends and improves upon this material, covering new areas including: Support vector machines. Fat-shattering dimensions and applications to neural network learning. Learning with dependent samples generated by a beta-mixing process. Connections between system identification and learning theory. Probabilistic solution of 'intractable problems' in robust control and matrix theory using randomized algorithm. Reflecting advancements in the field, solutions to some of the open problems posed in the first edition are presented, while new open problems have been added. Learning and Generalization (second edition) is essential reading for control and system theorists, neural network researchers, theoretical computer scientists and probabilist.