An economic history of Britain since 1700, in three volumes by thirty-nine eminent historians and economists, this book will succeed the first edition of "Floud and McCloskey" (published in 1981) as the leading textbook on its subject. The text has a firm economic basis, but emphasizes the historical context and chronology and is written in straightforward and jargon-free English. Volume 1 covers the period 1700-1860, that of Britain's rise to relative economic supremacy. Volume 2 discusses the period 1860-1939, that of the height of British economic power and of painful readjustment after 1914. Volume 3 considers the period since 1939, that of relative economic decline and of increasing involvement with the European Community.

The relationship between race and capitalism is one of the most enduring and controversial historical debates. The concept of racial capitalism offers a way out of this impasse. Racial capitalism is not simply a permutation, phase, or stage in the larger history of capitalism—since the beginning of the Atlantic slave trade and the colonization of the Americas, capitalism, in both material and ideological senses, has been racial, deriving social and economic value from racial classification and stratification. Although Cedric J. Robinson popularized the term, racial capitalism has remained undertheorized for nearly four decades. Histories of Racial Capitalism brings together for the first time distinguished and rising scholars to consider the utility of the concept across historical settings. These scholars offer dynamic accounts of the relationship between social relations of exploitation and the racial terms through which they were organized, justified, and contested. Deploying an eclectic array of methods, their works range from indigenous mortgage foreclosures to the legacies of Atlantic-world maroons, from imperial expansion in the continental United States and beyond to the racial politics of municipal debt in the New South, from the ethical complexities of Latinx banking to the postcolonial dilemmas of extraction in the Caribbean. Throughout, the contributors consider and challenge how some claims about the history and nature of capitalism are universalized while others remain marginalized. By theorizing and testing the concept of racial capitalism in different historical circumstances, this book shows its analytical and political power for today’s scholars and activists.

Although uncommon, the occurrence of cataracts in very young patients can result in significant impairment—and can lead to blindness. This practical guide delivers need-to-know information to help clinicians treat pediatric patients with cataracts with a range of therapies and essential guidance on the management of complications. Explore the only reference devoted exclusively to pediatric cataract management! • 13 new chapters highlight the latest advances in bilateral cataract surgery, intraocular heparin treatment, treatment of traumatic cataracts, pre- and postoperative management, and techniques appropriate for patients in developing nations. • 4 hours of online procedural video accompany the text—giving readers a clinician’s view of essential procedures. A great way to refine technique, improve outcomes, avoid pitfalls, and manage potential complications. • Quick-reference format helps readers locate vital information at a glance.

This book provides a wide-ranging overview of artificial intelligence (AI), machine learning (ML) and deep learning (DL) algorithms in ophthalmology. Expertly written chapters examine AI in age-related macular degeneration, glaucoma, retinopathy of prematurity and diabetic retinopathy screening. AI perspectives, systems and limitations are all carefully assessed throughout the book as well as the technical aspects of DL systems for retinal diseases including the application of Google DeepMind, the Singapore algorithm, and the Johns Hopkins algorithm. Artificial Intelligence in Ophthalmology meets the need for a resource that reviews the benefits and pitfalls of AI, ML and DL in ophthalmology. Ophthalmologists, optometrists, eye-care workers, neurologists, cardiologists, internal medicine specialists, AI engineers and IT specialists with an interest in how AI can help with early diagnosis and monitoring treatment in ophthalmic patients will find this book to be an indispensable guide to an evolving area of healthcare technology.