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Paperback. Zustand: new. Paperback. Medical science has long been able to explain the formation of the human body from the moment of conception onward. How the mind and soul form within the womb has never been explained-until now. Electromagnetic Energy of the Human Mind is the result of a remarkable collaboration among scientists, doctors, spiritual guru and Divine Mentor. By focusing their efforts on the electromagnetic energy of the human mind, the team has developed a challenging new hypothesis: electromagnetic energy of human mind is God moving in and through the human mind, guiding all aspects of life from conception to death. Basing their hypothesis on particle physics and quantum mechanics, the team argues that if the Higgs boson is the God particle of nonliving matter, then electromagnetic energy of the human mind is the God particle of living matter - the human life. The results are profound, explaining not only the formation and origin of the mind and soul (through subatomic energy particles - 'Mene' and 'Sene') but also the nature of near-death experiences and how parents can influence their children through faith and prayer. Electromagnetic Energy of the Human Mind heralds the creation of theogenetics, a new scientific discipline. Our understanding of human life-and God's role therein-just expanded. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Zustand: Neu. Neuware -Concanavalin A (Con A), a plant lectin, has become an object of extensive research not only for the biochemist, but also for the bi ologist, biophysicist, pathologist, immunologist and others. On April 19-20, 1974 a group of scholars from four continents met on the campus of the University of Oklahoma for an International Symposium on Con A. This volume contains all lectures presented by the invited speakers on this occasion, as well as the abstracts for all shorter technical papers which were presented. Further, the edi tors invited additional contributions from a few selected laboratories to cover the areas not covered in the symposium itself. This volume then reports the present status of research with Con A. In a sense it is encyclopedic and should be a useful reference tool to the worker in this field. The newcomer to this area will find that a careful study of this book will bring him up-to-date with the latest techniques, ap proaches and the 'state of the art' in this specialized area of re search, as well as with traps and ensnarements in which he need not get entangled again. Starting at the molecular level and advancing from there to the organismic level as well as to a number of highly specialized areas, this volume presents the most complete survey of research findings with Con A available today. The editors wish to acknowledge the generous financial support provided by the University of Oklahoma through its President, Dr.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 380 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Concanavalin A (Con A), a plant lectin, has become an object of extensive research not only for the biochemist, but also for the bi ologist, biophysicist, pathologist, immunologist and others. On April 19-20, 1974 a group of scholars from four continents met on the campus of the University of Oklahoma for an International Symposium on Con A. This volume contains all lectures presented by the invited speakers on this occasion, as well as the abstracts for all shorter technical papers which were presented. Further, the edi tors invited additional contributions from a few selected laboratories to cover the areas not covered in the symposium itself. This volume then reports the present status of research with Con A. In a sense it is encyclopedic and should be a useful reference tool to the worker in this field. The newcomer to this area will find that a careful study of this book will bring him up-to-date with the latest techniques, ap proaches and the 'state of the art' in this specialized area of re search, as well as with traps and ensnarements in which he need not get entangled again. Starting at the molecular level and advancing from there to the organismic level as well as to a number of highly specialized areas, this volume presents the most complete survey of research findings with Con A available today. The editors wish to acknowledge the generous financial support provided by the University of Oklahoma through its President, Dr.

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Hardcover. Zustand: Good. No Jacket. Good, ex-library book with associated ex-library flaws, scuffing to rear free endpaper where some type of sticker was removed, tiny dent in the bottom edge of both boards, light wear to cloth at head and foot of spine, and sunning to cloth on spine and edges of both boards.

Paperback. Zustand: Brand New. reprint edition. 374 pages. 9.61x6.69x0.86 inches. In Stock.

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Hardcover. Zustand: new. Hardcover. Machine Learning for Mobile Communications will take readers on a journey from basic to advanced knowledge about mobile communications and machine learning. For learners at the basic level, this book volume discusses a wide range of mobile communications topics from the system level, such as system design and optimization, to the user level, such as power control and resource allocation. The authors also review state-of-the-art machine learning, one of the biggest emerging trends in both academia and industry. For learners at the advanced level, this book discusses solutions for long-term problems with future mobile communications such as resource allocation, security, power control, and spectral efficiency. The book brings together some of the top mobile communications and machine learning experts throughout the world, who contributed their knowledge and experience regarding system design and optimization.This book:Discusses the 5G new radio system design and architecture as specified in 3GPP documentsHighlights the challenges including security and privacy, energy, and spectrum efficiency from the perspective of 5G new radio systemsIdentifies both theoretical and practical problems that can occur in mobile communication systemsCovers machine learning techniques such as autoencoder and Q-learning in a comprehensive mannerExplores how to apply machine learning techniques to mobile systems to solve modern problemsThis book is for senior undergraduate and graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering. Machine Learning for Mobile Communication takes readers on a journey from the basic to advanced knowledge about mobile communications and machine learning. It is for undergraduate and graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Hardcover. Zustand: new. Hardcover. Machine Learning for Mobile Communications will take readers on a journey from basic to advanced knowledge about mobile communications and machine learning. For learners at the basic level, this book volume discusses a wide range of mobile communications topics from the system level, such as system design and optimization, to the user level, such as power control and resource allocation. The authors also review state-of-the-art machine learning, one of the biggest emerging trends in both academia and industry. For learners at the advanced level, this book discusses solutions for long-term problems with future mobile communications such as resource allocation, security, power control, and spectral efficiency. The book brings together some of the top mobile communications and machine learning experts throughout the world, who contributed their knowledge and experience regarding system design and optimization.This book:Discusses the 5G new radio system design and architecture as specified in 3GPP documentsHighlights the challenges including security and privacy, energy, and spectrum efficiency from the perspective of 5G new radio systemsIdentifies both theoretical and practical problems that can occur in mobile communication systemsCovers machine learning techniques such as autoencoder and Q-learning in a comprehensive mannerExplores how to apply machine learning techniques to mobile systems to solve modern problemsThis book is for senior undergraduate and graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering. Machine Learning for Mobile Communication takes readers on a journey from the basic to advanced knowledge about mobile communications and machine learning. It is for undergraduate and graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Zustand: new. Hardcover. Machine Learning for Mobile Communications will take readers on a journey from basic to advanced knowledge about mobile communications and machine learning. For learners at the basic level, this book volume discusses a wide range of mobile communications topics from the system level, such as system design and optimization, to the user level, such as power control and resource allocation. The authors also review state-of-the-art machine learning, one of the biggest emerging trends in both academia and industry. For learners at the advanced level, this book discusses solutions for long-term problems with future mobile communications such as resource allocation, security, power control, and spectral efficiency. The book brings together some of the top mobile communications and machine learning experts throughout the world, who contributed their knowledge and experience regarding system design and optimization.This book:Discusses the 5G new radio system design and architecture as specified in 3GPP documentsHighlights the challenges including security and privacy, energy, and spectrum efficiency from the perspective of 5G new radio systemsIdentifies both theoretical and practical problems that can occur in mobile communication systemsCovers machine learning techniques such as autoencoder and Q-learning in a comprehensive mannerExplores how to apply machine learning techniques to mobile systems to solve modern problemsThis book is for senior undergraduate and graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering. Machine Learning for Mobile Communication takes readers on a journey from the basic to advanced knowledge about mobile communications and machine learning. It is for undergraduate and graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.