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Victim Activists in Mexico
Victim Activists in Mexico: Social and Political Mobilization amid Extreme Violence and Disappearances examines the collective action of the courageous family members of the disappeared in the midst of Mexico’s ongoing humanitarian crisis over the last decades. Yael Siman and Matthew Hone analyze this grassroots mobilization and argue that the activists have created rutinary, contentious, and innovative types of resistance through building local and trans-local links of support and solidarity that reinforce their struggle. This mobilization from below has contributed to constructing transitional justice including laws, public apologies, and memorials. The combination of internal and external factors impacting the collectives and their environment has enabled significant changes in the institutions, state responses, and the victimhood narratives in the country. This book adds to the scholarship on the collective action of grieving families by focusing on both the social and political aspects of mobilization.
Latinas in the United States
A comprehensive, historical encyclopedia that covers the full range of Latina economic, political, and cultural life in the United States.
Self Portrait in Green
'NDiaye is a hypnotic storyteller with an unflinching understanding of the rock-bottom reality of most people's life.' New York Times ' One of France's most exciting prose stylists.' The Guardian. Obsessed by her encounters with the mysterious green women, and haunted by the Garonne River, a nameless narrator seeks them out in La Roele, Paris, Marseille, and Ouagadougou. Each encounter reveals different aspects of the women; real or imagined, dead or alive, seductive or suicidal, driving the narrator deeper into her obsession, in this unsettling exploration of identity, memory and paranoia. Self Portrait in Green is the multi-prize winning, Marie NDiaye's brilliant subversion of the memoir. Written in diary entries, with lyrical prose and dreamlike imagery, we start with and return to the river, which mirrors the narrative by posing more questions than it answers.
A Guide to the Manuscript Collections: Manuscripts relating chiefly to Mexico and Central America
V.1: Pacific and Western manuscripts (except California).
Handbook of Research on Developments in E-Health and Telemedicine: Technological and Social Perspectives
"This book provide a comprehensive coverage of the latest and most relevant knowledge, developments, solutions, and practical applications, related to e-Health, this new field of knowledge able to transform the way we live and deliver services, both from the technological and social perspectives"--Provided by publisher.
Knowledge Management in Healthcare
Knowledge management goes beyond data and information capture in computerized health records and ordering systems; it seeks to leverage the experiences of all who interact in healthcare to enhance care delivery, teamwork, and organizational learning. Knowledge management - if envisioned thoughtfully - takes a systemic approach to implementation that includes the embodiment of a learning culture. Knowledge is then used to support that culture and the knowledge workers within it to encourage them to share what they know, thusly enabling their peers, their organizations and ultimately their patients to benefit from their experience to proactively dismantle hierarchy and encourage sharing about ...
Latinas in the United States, set
Latinas in the United States: A Historical Encyclopedia records the contribution of women of Latin American birth or heritage to the economic and cultural development of the United States. The encyclopedia, edited by Vicki L. Ruiz and Virginia Sánchez-Korrol, is the first comprehensive gathering of scholarship on Latinas. This encyclopedia will serve as an essential reference for decades to come. In more than 580 entries, the historical and cultural narratives of Latinas come to life. From mestizo settlement, pioneer life, and diasporic communities, the encyclopedia details the contributions of women as settlers, comadres, and landowners, as organizers and nuns. More than 200 scholars explo...
Pattern Recognition and Machine Learning
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
