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Diabetes in Cardiovascular Disease is a current, expert resource focusing on the complex challenges of providing cardiovascular care to patients with diabetes. Designed as a companion to Braunwald’s Heart Disease, this interdisciplinary medical reference book bridges the gap between the cardiology and endocrinology communities of scientists and care providers, and highlights the emerging scientific and clinical topics that are relevant for cardiologists, diabetologists/endocrinologists, and the extended diabetes care team. Access essential coverage of basic and clinical sciences, complemented by an expanded focus on epidemiology, behavioral sciences, health policy, and disparities in healt...
Containing footnotes and an extensive bibliography, this edition of Franz Mehring's classic biography is designed to assist the English-speaking reader towards a better understanding of Marx, his work and a history of Marxism. The book is divided into parts as follows: Early Years; A Pupil of Hegel; Exile in Paris; Friedrich Engels; Exile in Brussels; Revolution and Counter-Revolution; Exile in London; Marx and Engels; The Crimean War and the Crisis; Dynastic Changes; The Early Years of the International; 'Das Kapital'; The Zenith and Decline of the International; The Last Decade.
Complemented by: Braunwald's heart disease / edited by Robert O. Bonow ... [et al.]. 9th ed. 2012.
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Written for fellows, practicing nephrologists, and internists who treat patients with disorders affecting the renal system, Comprehensive Clinical Nephrology, 7th Edition, offers a practical approach to this complex field, supported by underlying scientific facts and pathophysiology. World leaders in nephrology provide current information on clinical procedures and conditions, covering everything from fluid and electrolyte disorders to hypertension, diabetes, dialysis, transplantation, and more—all in a single, convenient volume. Provides a "just right" amount of basic science and practical clinical guidance to help you make efficient and informed decisions. Contains new chapters on Blood ...
This book aims at the tiny machine learning (TinyML) software and hardware synergy for edge intelligence applications. It presents on-device learning techniques covering model-level neural network design, algorithm-level training optimization, and hardware-level instruction acceleration. Analyzing the limitations of conventional in-cloud computing would reveal that on-device learning is a promising research direction to meet the requirements of edge intelligence applications. As to the cutting-edge research of TinyML, implementing a high-efficiency learning framework and enabling system-level acceleration is one of the most fundamental issues. This book presents a comprehensive discussion of...