A Deeper Sickness
A Deeper Sickness

Author: Margaret Peacock

Publisher: Beacon Press

Published: 2022-03-08

Total Pages: 298

ISBN-13: 0807040290

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A harrowing chronicle by two leading historians, capturing in real time the events of a year marked by multiple devastations. When we look back at the year 2020, how can we describe what really happened? In A Deeper Sickness, award-winning historians Margaret Peacock and Erik Peterson set out to preserve what they call the “focused confusion,” and to probe deeper into what they consider the Four Pandemics that converged around the 12 astonishing months of 2020: • Disease • Disinformation • Poverty • Violence Drs. Peacock and Peterson use their interdisciplinary expertise to extend their analysis beyond the viral science, and instead into the social, political, and historical dimensions of this crisis. They consulted with dozens of experts and witnesses from a wide range of fields—from leading epidemiologists and health care workers to leaders of the Black Lives Matter movement, district attorneys, political scientists, philosophers, and more. Their journey revealed a sick country that believed it was well, a violent nation that believed it was peaceful; one that mistook poverty for prosperity and accountability for rebellion. Organized into the journal-entries along with dozens of archival images, A Deeper Sickness will help readers sift through the chaos and misinformation that characterized those frantic days. It is both an unflinching indictment of a nation that is still reeling and a testament to the power of human resilience and collective memory. Readers can share their story and become a contributing author by visiting an interactive digital museum, where the authors have preserved dozens of more stories and interviews. Visit Margaret Peacock and Erik L. Peterson’s digital museum at adhc.lib.ua.edu/pandemicbook/.

A Deeper Sickness
A Deeper Sickness

Author: Margaret Peacock

Publisher: Beacon Press

Published: 2022-03-08

Total Pages: 288

ISBN-13: 0807040304

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A harrowing chronicle by two leading historians, capturing in real time the events of a year marked by multiple devastations. When we look back at the year 2020, how can we describe what really happened? In A Deeper Sickness, award-winning historians Margaret Peacock and Erik Peterson set out to preserve what they call the “focused confusion,” and to probe deeper into what they consider the Four Pandemics that converged around the 12 astonishing months of 2020: • Disease • Disinformation • Poverty • Violence Drs. Peacock and Peterson use their interdisciplinary expertise to extend their analysis beyond the viral science, and instead into the social, political, and historical dimensions of this crisis. They consulted with dozens of experts and witnesses from a wide range of fields—from leading epidemiologists and health care workers to leaders of the Black Lives Matter movement, district attorneys, political scientists, philosophers, and more. Their journey revealed a sick country that believed it was well, a violent nation that believed it was peaceful; one that mistook poverty for prosperity and accountability for rebellion. Organized into the journal-entries along with dozens of archival images, A Deeper Sickness will help readers sift through the chaos and misinformation that characterized those frantic days. It is both an unflinching indictment of a nation that is still reeling and a testament to the power of human resilience and collective memory. Readers can share their story and become a contributing author by visiting an interactive digital museum, where the authors have preserved dozens of more stories and interviews. Visit Margaret Peacock and Erik L. Peterson’s digital museum at adhc.lib.ua.edu/pandemicbook/.

Stories of Sickness
Stories of Sickness

Author: Howard Brody

Publisher: Oxford University Press

Published: 2002-10-31

Total Pages: 312

ISBN-13: 0190288035

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Our personalities and our identities are intimately bound up with the stories that we tell to organize and to make sense of our lives. To understand the human meaning of illness, we therefore must turn to the stories we tell about illness, suffering, and medical care. Stories of Sickness explores the many dimensions of what illness means to the sufferers and to those around them, drawing on depictions of illness in great works of literature and in nonfiction accounts. The exploration is primarily philosophical but incorporates approaches from literature and from the medical social sciences. When it was first published in 1987, Stories of Sickness helped to inaugurate a renewed interest in the importance of narrative studies in health care. For the Second Edition the text has been thoroughly revised and significantly expanded. Four almost entirely new chapters have been added on the nature, complexities, and rigor of narrative ethics and how it is carried out. There is also an additional chapter on maladaptive ways of being sick that deals in greater depth with disability issues. Health care professionals, students of medicine and bioethics, and ordinary people coping with illness, no less than scholars in the health care humanities and social sciences, will find much value in this volume. Unique Features: *Philosophically sophisticated yet clearly written and easily accessible *Interdisciplinary approach--combines philosophy, literature, health care, social sciences *Contains many fascinating stories and vignettes of illness drawn from both fiction and nonfiction *A new and comprehensive overview of the "hot topic" of narrative ethics in medicine and health care

AI-Driven Alzheimer's Disease Detection and Prediction
AI-Driven Alzheimer's Disease Detection and Prediction

Author: Lilhore, Umesh Kumar

Publisher: IGI Global

Published: 2024-08-09

Total Pages: 477

ISBN-13:

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Alzheimer's disease (AD) poses a significant global health challenge, with an estimated 50 million people affected worldwide and no known cure. Traditional methods of diagnosis and prediction often rely on subjective assessments. They are limited in detecting the disease early, leading to delayed intervention and poorer patient outcomes. Additionally, the complexity of AD, with its multifactorial etiology and diverse clinical manifestations, requires a multidisciplinary approach for effective management. AI-Driven Alzheimer's Disease Detection and Prediction offers a groundbreaking solution by leveraging advanced artificial intelligence (AI) techniques to enhance early diagnosis and prediction of AD. This edited book provides a comprehensive overview of state-of-the-art research, methodologies, and applications at the intersection of AI and AD detection. By bridging the gap between traditional diagnostic methods and cutting-edge technology, this book facilitates knowledge exchange, fosters interdisciplinary collaboration, and contributes to innovative solutions for AD management.

Sharing the Burden of Sickness
Sharing the Burden of Sickness

Author: Jonathan Roberts

Publisher: Indiana University Press

Published: 2021-11-09

Total Pages: 421

ISBN-13: 0253057914

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A medical history of Accra that accounts for plural medical traditions and multiple notions of health and healing.

Machine Learning and Deep Learning for Smart Agriculture and Applications
Machine Learning and Deep Learning for Smart Agriculture and Applications

Author: Hashmi, Mohamamd Farukh

Publisher: IGI Global

Published: 2023-08-29

Total Pages: 276

ISBN-13: 1668499762

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Machine Learning and Deep Learning for Smart Agriculture and Applications delves into the captivating realm of artificial intelligence and its pivotal role in transforming the landscape of modern agriculture. With a focus on precision agriculture, digital farming, and emerging concepts, this book illuminates the significance of sustainable food production and resource management in the face of evolving digital hardware and software technologies. Geospatial technology, robotics, the Internet of Things (IoT), and data analytics converge with machine learning and big data to unlock new possibilities in agricultural management. This book explores the synergy between these disciplines, offering cutting-edge insights into data-intensive processes within operational agricultural environments. From automated irrigation systems and agricultural drones for field analysis to crop monitoring and precision agriculture, the applications of machine learning are far-reaching. Animal identification and health monitoring also benefit from these advanced techniques. With practical case studies on vegetable and fruit leaf disease detection, drone-based agriculture, and the impact of pesticides on plants, this book provides a comprehensive understanding of the applications of machine learning and deep learning in smart agriculture. It also examines various modeling techniques employed in this field and showcases how artificial intelligence can revolutionize plant disease detection. This book serves as a comprehensive guide for researchers, practitioners, and students seeking to harness the power of AI in transforming the agricultural landscape.

A DEEP SECRET
A DEEP SECRET

Author: Mary O. Ajakaiye

Publisher: Lulu.com

Published: 2015-10-02

Total Pages: 135

ISBN-13: 132640475X

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The enemy is deceiving the world using a secret and the ignorance of knowledge has lead to chaos all over the world. There is a deep secret that you must have access to otherwise fulfiling God purpose for your life becomes extremely difficult . The deep Secret talks elaborately on the practical steps to be taken to enable your purpose in life being fulfilled.

Sentiment Analysis and Deep Learning
Sentiment Analysis and Deep Learning

Author: Subarna Shakya

Publisher: Springer Nature

Published: 2023-01-01

Total Pages: 987

ISBN-13: 9811954437

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This book gathers selected papers presented at International Conference on Sentimental Analysis and Deep Learning (ICSADL 2022), jointly organized by Tribhuvan University, Nepal and Prince of Songkla University, Thailand during 16 – 17 June, 2022. The volume discusses state-of-the-art research works on incorporating artificial intelligence models like deep learning techniques for intelligent sentiment analysis applications. Emotions and sentiments are emerging as the most important human factors to understand the prominent user-generated semantics and perceptions from the humongous volume of user-generated data. In this scenario, sentiment analysis emerges as a significant breakthrough technology, which can automatically analyze the human emotions in the data-driven applications. Sentiment analysis gains the ability to sense the existing voluminous unstructured data and delivers a real-time analysis to efficiently automate the business processes.

Kaleidoscope
Kaleidoscope

Author: Herman Aihara

Publisher: George Ohsawa Macrobiotic

Published: 1986

Total Pages: 318

ISBN-13: 0918860431

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"Most of the articles have appeared in Foundation newsletters (GOMf news, February 1979 to February 1984, and Macrobiotics today, March 1984 to July 1985) and ... in Macromuse"--P. v.