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LA SOCIEDAD DE LOS ÁNGELES GUARDIANES
En un universo donde el Cielo, la Tierra y el Infierno colisionan, una antigua batalla entre el bien y el mal está a punto de alcanzar su clímax. Luzbel, el ángel caído, está reuniendo sus fuerzas para una invasión sin precedentes al Cielo. En medio de esta crisis, Agnus, recién nombrado arcángel general de la décima orden, debe enfrentar una impactante traición: su mejor amigo, Bhené, ha pactado con el lado oscuro. Durante su exilio, ambos ángeles incorporan a Raziel, un enigmático ser celestial dispuesto a ayudarlos a frenar la inminente invasión. En una desesperada carrera contra el tiempo, ángeles y demonios se lanzan a la búsqueda de las piezas de la legendaria gema del ...
TRIEGOS DEL DESTINO
Tania, una brillante abogada, pensaba que tenía su vida amorosa bajo control. Pero todo cambia cuando conoce a Emilio Justo cuando Tania se entrega a esta nueva ilusión, reaparece Damián, su tóxico ex novio que años atrás la dejó destrozada. Él está decidido a recuperarla a cualquier precio, despertando en Tania una peligrosa pasión que creía enterrada. Ahora, Tania se encuentra atrapada entre dos amores: la estabilidad y adoración que le ofrece Emilio, o la intensidad y el magnetismo de Damián. Mientras su corazón se debate entre la razón y el deseo, deberá enfrentar fantasmas del pasado, traiciones y hasta intentos de sabotaje de aquellos que buscan perjudicarla. ¿Logrará...
Hyperborder
Roving vigilantes, fear-mongering politicians, hysterical pundits, and the looming shadow of a seven hundred-mile-long fence: the US–Mexican border is one of the most complex and dynamic areas on the planet today. Hyperborder provides the most nuanced portrait yet of this dynamic region. Author Fernando Romero presents a multidisciplinary perspective informed by interviews with numerous academics, researchers, and organizations. Provocatively designed in the style of other kinetic large-scale studies like Rem Koolhaas's Content and Bruce Mau’s Massive Change, Hyperborder is an exhaustively researched report from the front lines of the border debate.
Computer Analysis of Images and Patterns
The two volume set LNCS 11678 and 11679 constitutes the refereed proceedings of the 18th International Conference on Computer Analysis of Images and Patterns, CAIP 2019, held in Salerno, Italy, in September 2019. The 106 papers presented were carefully reviewed and selected from 176 submissions The papers are organized in the following topical sections: Intelligent Systems; Real-time and GPU Processing; Image Segmentation; Image and Texture Analysis; Machine Learning for Image and Pattern Analysis; Data Sets and Benchmarks; Structural and Computational Pattern Recognition; Posters.
A Century of Debt Crises in Latin America
Carlos Marichal contends that the boom-and-bust cycles of Latin American foreign loans result mainly from the fluctuations of the world economy, rather than from errors made in Latin America itself. Marichal shows that the present debt crisis is only a part of an overall pattern in Latin American history--cycles of loan boom and subsequent debt crisis that are heavily influenced by fluctuations of international trade and capital flows. He also reveals the significant role played by those who implement debt policies. Examining the strategies of both lenders and borrowers, he makes it clear that foreign loan negotiations are not only financial tools but also political instruments with broad ec...
Acute Phase Proteins as Early Non-Specific Biomarkers of Human and Veterinary Diseases
The two volumes of Acute Phase Proteins book consist of chapters that give a large panel of fundamental and applied knowledge on one of the major elements of the inflammatory process during the acute phase response, i.e., the acute phase proteins expression and functions that regulate homeostasis. We have organized this book in two volumes - the first volume, mainly containing chapters on structure, biology and functions of APP, the second volume discussing different uses of APP as diagnostic tools in human and veterinary medicine.
Graph Representation Learning
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...
Federated Learning
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...
