Author of The Chronicles Of Thomas Covenant, one of the most acclaimed fantasy series of all time, master storyteller Stephen R. Donaldson retums with the second book in his long-awaited new science fiction series--a story about dark passions, perilous alliances, and dubious heroism set in a stunningly imagined future. Beautiful, brilliant, and dangerous, Morn Hyland is an ex-police officer for the United Mining Companies--and the target of two ruthless, powerful men. One is the charismatic ore-pirate Nick Succorso, who sees Morn as booty wrested from his vicious rival, Angus Thermopyle. thermopyle once made the mistake of underestimating Morn and now he's about to pay the ultimate price. Both men think they can possess her, but Morn is no one's trophy--and no one's pawn. Meanwhile, withing the borders of Forbidden Space, wait the Amnioin, an alien race capable of horrific atrocities. The Amnion want something unspeakable from humanity--and they will go to unthinkable lengths to get it. In Forbidden Knowledge, Stephen R. Donaldson spins a galaxy-wide web of intrigue, deception, and betrayal that tightens with inexorable strength around characters and readers alike.

Hailed for its lucid presentation, TSK blends reasoning and experiential inquiry to offer a unique path of transformation. A deeply exhilarating book, TSK gives readers a language to ask the questions that conventional training teaches us to ignore. Thirty-five exercises reunite philosophy with direct experience.

Francis Bacon - a leading figure in the history of science - never made a major discovery, provided a lasting explanation of any physical phenomena or revealed any hidden laws of nature. How then can he rank as he does alongside Newton? Bacon was the first major thinker to describe how science should be done, and to explain why. Scientific knowledge should not be gathered for its own sake but for practical benefit to mankind. And Bacon promoted experimentation, coming to outline and define the rigorous procedures of the 'scientific method' that today from the very bedrock of modern scientific progress. John Henry gives a dramatic account of the background to Bacon's innovations and the sometimes unconventional sources for his ideas. Why was he was so concerned to revolutionize the attitude to scientific knowledge - and why do his ideas for reform still resonate today?

In a masterly synthesis of historical and literary analysis, Giuseppe Mazzotta shows how medieval knowledge systems--the cycle of the liberal arts, ethics, politics, and theology--interacted with poetry and elevated the Divine Comedy to a central position in shaping all other forms of discursive knowledge. To trace the circle of Dante's intellectual concerns, Mazzotta examines the structure and aims of medieval encyclopedias, especially in the twelfth and thirteenth centuries; the medieval classification of knowledge; the battle of the arts; the role of the imagination; the tension between knowledge and vision; and Dante's theological speculations in his constitution of what Mazzotta calls aesthetic, ludic theology. As a poet, Dante puts himself at the center of intellectual debates of his time and radically redefines their configuration. In this book, Mazzotta offers powerful new readings of a poet who stands amid his culture's crisis and fragmentation, one who responds to and counters them in his work. In a critical gesture that enacts Dante's own insight, Mazzotta's practice is also a fresh contribution to the theoretical literary debates of the present. Originally published in 1992. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

The latest developments in data, informatics and technology continue to enable health professionals and informaticians to improve healthcare for the benefit of patients everywhere. This book presents full papers from ICIMTH 2019, the 17th International Conference on Informatics, Management and Technology in Healthcare, held in Athens, Greece from 5 to 7 July 2019. Of the 150 submissions received, 95 were selected for presentation at the conference following review and are included here. The conference focused on increasing and improving knowledge of healthcare applications spanning the entire spectrum from clinical and health informatics to public health informatics as applied in the healthcare domain. The field of biomedical and health informatics is examined in a very broad framework, presenting the research and application outcomes of informatics from cell to population and exploring a number of technologies such as imaging, sensors, and biomedical equipment, together with management and organizational aspects including legal and social issues. Setting research priorities in health informatics is also addressed. Providing an overview of the latest developments in health informatics, the book will be of interest to all those working in the field.

The ability to see deeply affects how human beings perceive and interpret the world around them. For most people, eyesight is part of everyday communication, social activities, educational and professional pursuits, the care of others, and the maintenance of personal health, independence, and mobility. Functioning eyes and vision system can reduce an adult's risk of chronic health conditions, death, falls and injuries, social isolation, depression, and other psychological problems. In children, properly maintained eye and vision health contributes to a child's social development, academic achievement, and better health across the lifespan. The public generally recognizes its reliance on sight and fears its loss, but emphasis on eye and vision health, in general, has not been integrated into daily life to the same extent as other health promotion activities, such as teeth brushing; hand washing; physical and mental exercise; and various injury prevention behaviors. A larger population health approach is needed to engage a wide range of stakeholders in coordinated efforts that can sustain the scope of behavior change. The shaping of socioeconomic environments can eventually lead to new social norms that promote eye and vision health. Making Eye Health a Population Health Imperative: Vision for Tomorrow proposes a new population-centered framework to guide action and coordination among various, and sometimes competing, stakeholders in pursuit of improved eye and vision health and health equity in the United States. Building on the momentum of previous public health efforts, this report also introduces a model for action that highlights different levels of prevention activities across a range of stakeholders and provides specific examples of how population health strategies can be translated into cohesive areas for action at federal, state, and local levels.

Computational Knowledge Vision: The First Footprints presents a novel, advanced framework which combines structuralized knowledge and visual models. In advanced image and visual perception studies, a visual model's understanding and reasoning ability often determines whether it works well in complex scenarios. This book presents state-of-the-art mainstream vision models for visual perception. As computer vision is one of the key gateways to artificial intelligence and a significant component of modern intelligent systems, this book delves into computer vision systems that are highly specialized and very limited in their ability to do visual reasoning and causal inference. Questions naturally arise in this arena, including (1) How can human knowledge be incorporated with visual models? (2) How does human knowledge promote the performance of visual models? To address these problems, this book proposes a new framework for computer vision–computational knowledge vision. - Presents a concept and basic framework of Computational Knowledge Vision that extends the knowledge engineering methodology to the computer vision field - Discusses neural networks, meta-learning, graphs, and Transformer models - Illustrates a basic framework for Computational Knowledge Vision whose essential techniques include structuralized knowledge, knowledge projection, and conditional feedback