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Kamis, 22 November 2018

Download Ebook Physics in Biology and Medicine, Fourth Edition (Complementary Science)By Paul Davidovits

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Physics in Biology and Medicine, Fourth Edition (Complementary Science)By Paul Davidovits

Physics in Biology and Medicine, Fourth Edition explores concepts in physics as they apply to living systems. The discussion is organized into 18 chapters encompassing thermodynamics, electricity, optics, sound, solid mechanics, fluid mechanics, and atomic and nuclear physics. Each chapter provides a brief review of the background physics before focusing on the applications of physics to biology and medicine.
The book describes biological systems and presents calculations of the forces exerted by muscles, as well as the maximum impact that can be sustained by a body without injury, the height from which a person can jump, the effect of an animals size on the speed at which it can run, and the circulation of blood in the body. Using the theory of fluids, the role of diffusion in the functioning of cells and the effect of surface tension on the growth of plants in soil are also analyzed. Using the principles of electricity, the conduction of impulses along the nervous system is investigated. Each section contains problems that explore and expand some of the concepts, and some of the techniques of physics and engineering are applied to the study of living systems. Moreover, the use of lasers in medical diagnostics and the applications of nanotechnology in biology and medicine are considered.
This book will be a valuable resource for students and professors of physics, biology, and medicine, as well as for applied health workers.

  • Provides practical techniques for applying knowledge of physics to the study of living systems
  • Presents material in a straight forward manner requiring very little background in physics or biology
  • Includes many figures, examples and illustrative problems and appendices which provide convenient access to the most important concepts of mechanics, electricity, and optics in the body

  • Sales Rank: #332857 in Books
  • Brand: Brand: Academic Press
  • Published on: 2012-12-19
  • Released on: 2012-12-05
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.00" h x .82" w x 6.00" l, 1.14 pounds
  • Binding: Paperback
  • 352 pages
Features
  • Used Book in Good Condition

Review

"The text provides clear descriptions of medical devices and techniques such as MRI, CAT scan and cochlear implant. It discusses biological systems that can be analyzed quantitatively and shows how advances in the life sciences have been aided by the knowledge of physical or engineering analysis techniques."--Anticancer Research, August 2013

Reviews from the 2e:

"This is a book you should consider if you are teaching the one-semester premed course. This text could be used in two ways: 1) as a text for a one-term course in the physics of the body (without calculus) for non-physics majors in premed or allied health programs, or 2) as a supplementary text for the introductory physics course, particularly for premed students."--Russell Hobbie, University of Minnesota "There is certainly a viable market (for this book), if not as a stand-alone physics text, as a collection of problems, examples, and discussions at the boundary between physics and biology and medicine. It is very well written; it is certainly accurate; and it is pretty complete."--David Cinabro, Wayne State University

From the Back Cover

Paul Davidovits, Professor of Chemistry at Boston College, was co-awarded the prestigious R.W. Wood prize from the Optical Society of America for his seminal work in optics. His contribution was foundational in the field of confocal microscopy, which allows engineers and biologists to produce optical sections through 3D objects such as semiconductor circuits, living tissues, or a single cell. Dr. Davidovits earned his doctorate, masters, and undergraduate degrees from Columbia University. Prior to his appointment at Boston College, he was a faculty member at Yale University. He has published more than 150 papers in physical chemistry and is a Fellow of the American Physical Society and of the American Association for Advancement of Science. The second edition of Physics in Biology and Medicine received the Alpha Sigma Nu Book Award in the Discipline of the Natural Sciences.

A PERFECT FIT TO COURSES IN PHYSICS AND BIOPHYSICS

Physics in Biology and Medicine, Fourth Edition covers topics in physics as they apply to the life sciences, specifically medicine, physiology, nursing, and other applied health fields. The text provides clear descriptions of medical devices and techniques such as MRI, CAT scan, and cochlear implant.

Physics in Biology and Medicine, Fourth Edition is a concise introductory paperback that surveys and relates basic physics to living systems. It discusses biological systems that can be analyzed quantitatively, and shows how advances in the life sciences have been aided by the knowledge of physical and engineering analysis techniques.

  • Provides practical techniques for applying knowledge of physics to the study of living systems
  • Presents material in a straightforward manner requiring very little background in physics or biology
  • Includes many figures, examples, illustrative problems, and appendices which provide convenient access to the most important concepts of mechanics, electricity, and optics
  • An Instructor Solutions Manual is available at textbooks.elsevier.com
  • Updated to include current research topics, including nanoscience, basal metabolism, laser imaging, and atomic force microscopy

About the Author
Paul Davidovits, Professor of Chemistry at Boston College, was co-awarded the prestigious R.W. Wood prize from the Optical Society of America for his seminal work in optics. His contribution was foundational in the field of confocal microscopy, which allows engineers and biologists to produce optical sections through 3D objects such as semiconductor circuits, living tissues, or a single cell. Dr. Davidovits earned his doctorate, masters, and undergraduate degrees from Columbia University. Prior to his appointment at Boston College, he was a faculty member at Yale University. He has published more than 150 papers in physical chemistry and is a Fellow of the American Physical Society and of the American Association for Advancement of Science. The second edition of Physics in Biology and Medicine received the Alpha Sigma Nu Book Award in the Discipline of the Natural Sciences.

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Selasa, 20 November 2018

Get Free Ebook The Wisdom of Amish Folk MedicineBy patrick Quillen

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  • Sales Rank: #11485133 in Books
  • Published on: 1983
  • Binding: Paperback

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Kamis, 08 November 2018

PDF Download Finnish Fighter Colours 1939-1945. Volume 1 (White Series)By Kari Stenman, Karolina Holda

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Finnish Fighter Colours 1939-1945. Volume 1 (White Series)By Kari Stenman, Karolina Holda

The next book in the Rainbow Series covers Finnish Fighters used during WWII. Camouflage and markings of the fighters obtained from France, USA, Germany, UK and the USSR are described in unparalleled detail by the well-known Finnish author Kari Stenman. Many unpublished photos, and color profiles.

Vol. 1 covers:
Bristol Bulldog
Fokker D XXI
Gloster Gladiator
FIAT G 50
Morane Saulnier MS 406 including Mörkö-Morane
Brewster Model 239

  • Sales Rank: #1590149 in Books
  • Published on: 2014-09-19
  • Original language: English
  • Number of items: 1
  • Dimensions: 11.70" h x .70" w x 8.30" l, .0 pounds
  • Binding: Hardcover
  • 200 pages

About the Author
Kari Stenman in undoubtedly the most knowledgeable authority on the Finnish Air Force in World War 2, having written over a dozen books on the subject since the late 1960s. He runs his own publishing company in Finland. Kalevi Keskinnen is an expert on Finnish aviation of World War 2. He works full time as an aviation author and lives in Finland.

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Kamis, 01 November 2018

Download Implementing the ISO/IEC 27001 ISMS StandardBy Ted Humphreys

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Implementing the ISO/IEC 27001 ISMS StandardBy Ted Humphreys

Authored by an internationally recognized expert in the field, this expanded, timely second edition addresses all the critical information security management issues needed to help businesses protect their valuable assets. Professionals learn how to manage business risks, governance and compliance. This updated resource provides a clear guide to ISO/IEC 27000 security standards and their implementation, focusing on the recent ISO/IEC 27001.

  • Amazon Sales Rank: #961849 in Books
  • Published on: 2016-02-29
  • Original language: English
  • Number of items: 1
  • Dimensions: .80" h x 6.20" w x 9.20" l, .0 pounds
  • Binding: Hardcover
  • 224 pages

About the Author Edward Humphreys is a visiting professor across Europe and Asia for short courses in ISMS, cyber resilience, risk management and risk psychology. He is the convener of the ISO/IEC JTC 1/SC 27 responsible for the development and maintenance of the family of ISO/IEC 27001 ISMS standards.

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Selasa, 30 Oktober 2018

Download PDF Classical Art: From Greece to Rome (Oxford History of Art)By Mary Beard, John Henderson

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Classical Art: From Greece to Rome (Oxford History of Art)By Mary Beard, John Henderson

The stunning masterpieces of Ancient Greece and Rome are fundamental to the story of art in Western culture and to the origins of art history. The expanding Greek world of Alexander the Great had an enormous impact on the Mediterranean superpower of Rome. Generals, rulers, and artists seized, imitated, and re-thought the stunning legacy of Greek painting and sculpture, culminating in the greatest art-collector the world had ever seen: the Roman emperor Hadrian.

This exciting new look at Classical art starts with the excavation of the buried city of Pompeii, and investigates the grandiose monuments of ancient tyrants, and the sensual beauty of Apollo and Venus. Concluding with that most influential invention of all, the human portrait, it highlights the re-discovery of Classical art in the modern world, from the treasure hunts of Renaissance Rome to scientific retrieval of artworks in the twenty-first century.

  • Sales Rank: #215634 in Books
  • Brand: Beard, Mary/ Henderson, John
  • Published on: 2001-07-19
  • Original language: English
  • Number of items: 1
  • Dimensions: 6.30" h x .80" w x 9.10" l, 1.59 pounds
  • Binding: Paperback
  • 304 pages

Review

"This is no conventional book on Classical Art, but a critique of Greek art through Roman eyes, analyzing the complexity of the Romans' reception of Greek pictorial and sculptural 'masterpieces,' most of which are only known today through their Roman versions."--Richard Brilliant, Columbia University


"Innovative, challenging, and never dull, this is a bracing departure from the norm. Readers will welcome its strong thesis and trenchant refusal to take received wisdom on trust."--Andrew Stewart, University of California, Berkeley


About the Author

Mary Beard and John Henderson both teach Classics at the University of Cambridge. Mary Beard is a fellow of Newnham College, and John Henderson is a fellow of King's College, Cambridge.

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Rabu, 24 Oktober 2018

Free PDF Plante kan praat (Afrikaans Edition)By Jeanne Goosen

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Plante kan praat (Afrikaans Edition)By Jeanne Goosen


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Plante kan praat (Afrikaans Edition)By Jeanne Goosen

Oplaas weer ’n kortverhaalbundel (van sowat vyftien verhale) deur die veelsydige en bekroonde skrywer, Jeanne Goosen. Plante kan praat beskryf opnuut die gryse voorstedelikheid van Parow in verhale soos "Spokie Snygans maak sy buiging" en "Lemoenboom", maar tegelykertyd roep Goosen ook ’n ander wêreld op: waar dooie siele met mekaar kommunikeer, waar Lubbert Das tuinier word vir ’n hertogin, en plante - nes woorde en musiek - uiteindelik al balsem vir die droefheid en ontgogeling van ons bestaan is

  • Amazon Sales Rank: #2133873 in eBooks
  • Published on: 2010-06-01
  • Released on: 2011-06-21
  • Format: Kindle eBook

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Plante kan praat (Afrikaans Edition)By Jeanne Goosen PDF
Plante kan praat (Afrikaans Edition)By Jeanne Goosen PDF

Jumat, 12 Oktober 2018

Download Ebook A First Course in Machine Learning, Second EditionBy Simon Rogers, Mark Girolami

Download Ebook A First Course in Machine Learning, Second EditionBy Simon Rogers, Mark Girolami

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A First Course in Machine Learning, Second EditionBy Simon Rogers, Mark Girolami

A First Course in Machine Learning, Second EditionBy Simon Rogers, Mark Girolami


A First Course in Machine Learning, Second EditionBy Simon Rogers, Mark Girolami


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A First Course in Machine Learning, Second EditionBy Simon Rogers, Mark Girolami

"A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes all the way to the frontiers of the subject such as infinite mixture models, GPs, and MCMC."
―Devdatt Dubhashi, Professor, Department of Computer Science and Engineering, Chalmers University, Sweden

"This textbook manages to be easier to read than other comparable books in the subject while retaining all the rigorous treatment needed. The new chapters put it at the forefront of the field by covering topics that have become mainstream in machine learning over the last decade."
―Daniel Barbara, George Mason University, Fairfax, Virginia, USA

"The new edition of A First Course in Machine Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book introduces concepts such as mathematical modeling, inference, and prediction, providing ‘just in time’ the essential background on linear algebra, calculus, and probability theory that the reader needs to understand these concepts."
―Daniel Ortiz-Arroyo, Associate Professor, Aalborg University Esbjerg, Denmark

"I was impressed by how closely the material aligns with the needs of an introductory course on machine learning, which is its greatest strength…Overall, this is a pragmatic and helpful book, which is well-aligned to the needs of an introductory course and one that I will be looking at for my own students in coming months."
―David Clifton, University of Oxford, UK

"The first edition of this book was already an excellent introductory text on machine learning for an advanced undergraduate or taught masters level course, or indeed for anybody who wants to learn about an interesting and important field of computer science. The additional chapters of advanced material on Gaussian process, MCMC and mixture modeling provide an ideal basis for practical projects, without disturbing the very clear and readable exposition of the basics contained in the first part of the book."
―Gavin Cawley, Senior Lecturer, School of Computing Sciences, University of East Anglia, UK

"This book could be used for junior/senior undergraduate students or first-year graduate students, as well as individuals who want to explore the field of machine learning…The book introduces not only the concepts but the underlying ideas on algorithm implementation from a critical thinking perspective."
―Guangzhi Qu, Oakland University, Rochester, Michigan, USA

  • Sales Rank: #856962 in Books
  • Published on: 2016-08-15
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.25" h x 1.10" w x 6.14" l, .0 pounds
  • Binding: Paperback
  • 427 pages

Review

"This book could be used for junior/senior undergraduate students or first-year graduate students, as well as individuals who want to explore the field of machine learning. The prerequisites on math or statistics are minimal and following the content is a fairly easy process. The book introduces not only the concepts but the underlying ideas on algorithm implementation from a critical thinking perspective."
―Guangzhi Qu, Oakland University, Rochester, Michigan, USA

"The new edition of A First Course in Machine Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book introduces concepts such as mathematical modeling, inference, and prediction, providing ‘just in time’ the essential background on linear algebra, calculus, and probability theory that the reader needs to understand these concepts. One of the strengths of the book is its practical approach. An extensive collection of code written in MATLAB/Octave, R, and Python is available from an associated web page that allows the reader to change models and parameter values to make [it] easier to understand and apply these models in real applications. The authors [also] introduce more advanced, state-of-the-art machine learning methods, such as Gaussian process models and advanced mixture models, which are used across machine learning. This makes the book interesting not only to students with little or no background in machine learning but also to more advanced graduate students interested in statistical approaches to machine learning."
―Daniel Ortiz-Arroyo, Associate Professor, Aalborg University Esbjerg, Denmark

"A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes all the way to the frontiers of the subject such as infinite mixture models, GPs, and MCMC."
―Devdatt Dubhashi, Professor, Department of Computer Science and Engineering, Chalmers University, Sweden

"This textbook manages to be easier to read than other comparable books in the subject while retaining all the rigorous treatment needed. The new chapters put it at the forefront of the field by covering topics that have become mainstream in machine learning over the last decade."
―Daniel Barbara, George Mason University, Fairfax, Virginia, USA

"I was impressed by how closely the material aligns with the needs of an introductory course on machine learning, which is its greatest strength. While there are other books available that aim for completeness, with exhaustively comprehensive introductions to every branch of machine learning, the book by Rogers and Girolami starts with the basics, builds a solid and logical foundation of methodology, before introducing some more advanced topics. The essentials of the model construction, validation, and evaluation process are communicated clearly and in such a manner as to be accessible to the student taking such a course. I was also pleased to see that the authors have not shied away from producing algebraic derivations throughout, which are for many students an essential part of the learning process―many other texts omit such details, leaving them as ‘an exercise for the reader.’ Being shown the explicit steps required for such derivations is an important part of developing a sense of confidence in the student. Overall, this is a pragmatic and helpful book, which is well-aligned to the needs of an introductory course and one that I will be looking at for my own students in coming months."
―David Clifton, University of Oxford, UK

A First Course in Machine Learning, Second EditionBy Simon Rogers, Mark Girolami PDF
A First Course in Machine Learning, Second EditionBy Simon Rogers, Mark Girolami EPub
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A First Course in Machine Learning, Second EditionBy Simon Rogers, Mark Girolami iBooks
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A First Course in Machine Learning, Second EditionBy Simon Rogers, Mark Girolami PDF

A First Course in Machine Learning, Second EditionBy Simon Rogers, Mark Girolami PDF

A First Course in Machine Learning, Second EditionBy Simon Rogers, Mark Girolami PDF
A First Course in Machine Learning, Second EditionBy Simon Rogers, Mark Girolami PDF