Selasa, 21 Februari 2012

PDF Ebook Case Studies in Immunology: A Clinical Companion (Geha, Case Studies in Immunology: A Clinical Companion)

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Case Studies in Immunology: A Clinical Companion (Geha, Case Studies in Immunology: A Clinical Companion)

Case Studies in Immunology: A Clinical Companion (Geha, Case Studies in Immunology: A Clinical Companion)


Case Studies in Immunology: A Clinical Companion (Geha, Case Studies in Immunology: A Clinical Companion)


PDF Ebook Case Studies in Immunology: A Clinical Companion (Geha, Case Studies in Immunology: A Clinical Companion)

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Case Studies in Immunology: A Clinical Companion (Geha, Case Studies in Immunology: A Clinical Companion)

Product details

Series: Geha, Case Studies in Immunology: A Clinical Companion

Paperback: 376 pages

Publisher: Garland Science; 6 edition (October 18, 2011)

Language: English

ISBN-10: 9780815344414

ISBN-13: 978-0815344414

ASIN: 0815344414

Product Dimensions:

8.5 x 0.5 x 11 inches

Shipping Weight: 1.6 pounds (View shipping rates and policies)

Average Customer Review:

4.4 out of 5 stars

27 customer reviews

Amazon Best Sellers Rank:

#501,468 in Books (See Top 100 in Books)

The case studies were helpful as I was studying Immunology. This was a required text book for one of my classes, and although the case studies went into more depth than I needed, it was always helpful for the test. I really liked that there were answers in the back of the book, it helped me to know if I was on the right track with the answers I came up with.

I purchased the initial edition some years back when that one originally came out, and purchased this new one recently to brush up on immunodeficiencies and they added some new cases/updated old ones based on recent litterature. This is a fantastic book, period. Great diagrams and pictures, with case presentations and very well written text. A great book to learn about immunology/immunodeficiencies.

I pretty much have to write a review on this since it got me through medical school immunology. In a course that was poorly organised, this book went above and beyond in teaching me the basic concepts (the intricacies of the complement system can be difficult for a beginner!) and the really important molecular biochemistry essential to understanding how the immune system works. While there may be more details than you might need in terms of undergraduate medical education classroom exams, I bet that if you do an immunology rotation or something of the sort, you'll shine.This book is solid and I'm holding on to it through med school. The reason being, it explains a ton of immunological disorders and the types of infections and co-morbidities you're likely to encounter in a patient with them. Also, I liked the little post-it note graphics on the pages with high-yield information. This book also goes through treatments your patient should get, and even down to the dosages which is super useful. I also liked how in each case you would get lab values/results and a breakdown of what each Ig was and what it should be normally, so you have guided learning. This book also has practice questions that help you get the material down rather well.I studied this along with Abbas, but definitely spent more time with Geha & Rosen. Good luck!

I used this book along with Kuby Immunology while taking the class. This book gives a little summary of background before each case. It helps you to reinforce what you learn and helps me to retain the information better. I took this class as an undergrad and I was able to understand the material in this book. Definitely worth every penny.

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It came a little tore up on the cover but still usable, content looks ok no missing pages ID thus far

Excellent companion book to Immunology text, Parham. Great resource to understand the clinical manifestations of immunology.

Extremely detailed, very thorough, very complete look at common and uncommon immunological diseases in case format

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Sabtu, 11 Februari 2012

Get Free Ebook Enjoy Your Stay (with Audio CD): English for the Hospitality and Travel IndustryBy Robin Nitzky Persiani, Randi Reppen

Get Free Ebook Enjoy Your Stay (with Audio CD): English for the Hospitality and Travel IndustryBy Robin Nitzky Persiani, Randi Reppen

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Enjoy Your Stay (with Audio CD): English for the Hospitality and Travel IndustryBy Robin Nitzky Persiani, Randi Reppen

Enjoy Your Stay (with Audio CD): English for the Hospitality and Travel IndustryBy Robin Nitzky Persiani, Randi Reppen


Enjoy Your Stay (with Audio CD): English for the Hospitality and Travel IndustryBy Robin Nitzky Persiani, Randi Reppen


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Enjoy Your Stay will prepare students for the English language tasks that they will face in tourism and hospitality settings. Unlike other texts, this book actively involves the students in activities that will prepare them for many of the situations they will encounter.

 

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  • Sales Rank: #5819336 in Books
  • Published on: 2007-10-29
  • Format: CD
  • Original language: English
  • Number of items: 1
  • Dimensions: 10.99" h x .40" w x 8.50" l, 1.04 pounds
  • Binding: Paperback
  • 160 pages

About the Author
Robin Persiani teaches at Sierra College (California), and Randi Reppen is a professor at the University of Northern Arizona.

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Kamis, 09 Februari 2012

Free Download A First Course in Machine Learning (Chapman & Hall/Crc Machine Learning & Pattern Recognition)By Simon Rogers, Mark Girolami

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A First Course in Machine Learning (Chapman & Hall/Crc Machine Learning & Pattern Recognition)By Simon Rogers, Mark Girolami

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A First Course in Machine Learning (Chapman & Hall/Crc Machine Learning & Pattern Recognition)By Simon Rogers, Mark Girolami


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A First Course in Machine Learning (Chapman & Hall/Crc Machine Learning & Pattern Recognition)By Simon Rogers, Mark Girolami

A First Course in Machine Learning covers the core mathematical and statistical techniques needed to understand some of the most popular machine learning algorithms. The algorithms presented span the main problem areas within machine learning: classification, clustering and projection. The text gives detailed descriptions and derivations for a small number of algorithms rather than cover many algorithms in less detail.

Referenced throughout the text and available on a supporting website (http://bit.ly/firstcourseml), an extensive collection of MATLAB®/Octave scripts enables students to recreate plots that appear in the book and investigate changing model specifications and parameter values. By experimenting with the various algorithms and concepts, students see how an abstract set of equations can be used to solve real problems.

Requiring minimal mathematical prerequisites, the classroom-tested material in this text offers a concise, accessible introduction to machine learning. It provides students with the knowledge and confidence to explore the machine learning literature and research specific methods in more detail.

  • Sales Rank: #1127148 in Books
  • Brand: Brand: Chapman and Hall/CRC
  • Published on: 2011-10-25
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.25" h x 6.25" w x .75" l, .88 pounds
  • Binding: Hardcover
  • 305 pages
Features
  • Used Book in Good Condition

Review

"This book offers an introduction to machine learning for students with rather limited background in mathematics and statistics. ... The book is well written and focusses on explaining themain concepts at a very basic level, keeping in mind the limited mathematical background of the intended audience. There are also useful references for further reading at the end of each chapter, and MATLAB code implementing the methods is available online along with the data sets. The code also seems to work well with free alternatives to MATLAB like Octave and FreeMat."
―Thoralf Mildenberger, IDP Institute of Data Analysis and Process Design, Zurich University of Applied Sciences, writing in Stat Papers (2015) 56:271

"… the authors do well to keep complicated mathematical notation of the kind sometimes found in statistical texts to a minimum. The concepts are introduced in quite a simple way so as to be intelligible to a reader with no statistical background. … this introductory text will be useful to computer scientists who need some basic introduction to statistical methods to apply in their respective problems …"
―Arindam Sengupta, International Statistical Review, 2014

About the Author

Simon Rogers is a lecturer in the School of Computing Science at the University of Glasgow, where he teaches a masters-level machine learning course on which this book is based. Dr. Rogers is an active researcher in machine learning, particularly applied to problems in computational biology. His research interests include the analysis of metabolomic data and the application of probabilistic machine learning techniques in the field of human-computer interaction.

Mark Girolami is a chair of statistics and an honorary professor of computer science at University College London, where he is also the director of the Centre for Computational Statistics and Machine Learning. An EPSRC Advanced Research Fellow, an IET Fellow, and a Fellow of the Royal Society of Edinburgh, Dr. Girolami has made major contributions to the field, including his generalisation of independent component analysis, his work on inference in systems biology, and his innovations in statistical methodology.

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