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Undocumented Saints follows the migration of popular saints from Mexico into the US and the evolution of their meaning. The book explores how Latinx battles for survival are performed in the worlds of faith, religiosity, and the imaginary, and how the socio-political realities of exploitation and racial segregation frame their popular religious expressions. It also tracks the emergence of inter-religious states, transnational ethnic and cultural enclaves unified by faith. The book looks at five vernacular saints that have emerged in Mexico and whose devotions have migrated into the US in the last one hundred years: Jesús Malverde, a popular bandido turned saint caudillo; Santa Olguita, an e...
This book aims to offer a comprehensive and up-to-date overview of male stress urinary incontinence that will serve as a useful tool and reference for urologists, andrologists, physiotherapists, general practitioners, and nurses. Detailed information is provided on diagnostic workup, including clinical assessment and the role of urodynamic evaluations and other instrumental examinations, and on the full range of potential treatments, from conservative and pharmacological interventions to surgical options. In addition to careful descriptions of the surgical procedures themselves, clear advice is given on the management of iatrogenic complications of incontinence surgery. Helpful treatment algorithms and recommendations offer further practical support. Relevant background knowledge is provided in expert reviews of topics such as the functional anatomy of the male pelvis and the pathophysiology, epidemiology, and classification of male urinary incontinence.
This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Every year, the Bibliography catalogues the most important new publications, historiographical monographs, and journal articles throughout the world, extending from prehistory and ancient history to the most recent contemporary historical studies. Within the systematic classification according to epoch, region, and historical discipline, works are also listed according to author’s name and characteristic keywords in their title.
Critical Medical Anthropology presents inspiring work from scholars doing and engaging with ethnographic research in or from Latin America, addressing themes that are central to contemporary Critical Medical Anthropology (CMA). This includes issues of inequality, embodiment of history, indigeneity, non-communicable diseases, gendered violence, migration, substance abuse, reproductive politics and judicialisation, as these relate to health. The collection of ethnographically informed research, including original theoretical contributions, reconsiders the broader relevance of CMA perspectives for addressing current global healthcare challenges from and of Latin America. It includes work spanning four countries in Latin America (Mexico, Brazil, Guatemala and Peru) as well as the trans-migratory contexts they connect and are defined by. By drawing on diverse social practices, it addresses challenges of central relevance to medical anthropology and global health, including reproduction and maternal health, sex work, rare and chronic diseases, the pharmaceutical industry and questions of agency, political economy, identity, ethnicity, and human rights.
This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated lear...
'...a lucid and scholarly account of an important and immensely complex subject...Dr. Alpert's command of a broad range of archival material, printed documents and secondary works in six languages is extremely impressive.' - P. Preston, London School of Economics and Political Science It is now twenty years since a study was dedicated to the international aspects of the Spanish Civil War and this new synthesis covering the whole of the era and setting it against major events of the late 1930s is well overdue. Michael Alpert takes full advantage of newly accessible archival sources to disentangle the intricacies of this complex issue.
Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical sy...
An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities. The interplay between optimization and machine learning is one of the most important developments in modern computational science. Optimization formulations and methods are proving to be vital in designing algorithms to extract essential knowledge from huge volumes of data. Machine learning, however, is not simply a consumer of optimization technology but a rapidly evolving field that is itself generating new optimization ideas. This book captures the state of the art of the interaction between optimization and machine learning in a way that is accessi...