[K769.Ebook] Download PDF Power Plant Engineering and Design, by Frederick T. Morse

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Power Plant Engineering and Design, by Frederick T. Morse

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A text for engineers and students of engineering covering the theory and practice of stationary electric generating plants. Chapters cover: 1) General Introduction of power and industry. 2) The Variable Load Problem. 3) Power Plant Economics. 4) The Power Plant Building. 5) Diesel Engine power. 6) The Hydro Electric Plant. 7) The Hydro Electric Plant - contd. 8) Vapor Cycles and Their Heat Balances. 9) Steam Boilers, Prime Movers and Condensers. 10) The Gas Loop. 11) The Feed Water Loop. 12) The Piping System. 13) Electric System Equipment. 14) Electric System Layout. 15) Conclusion.

• Sales Rank: #10901687 in Books
• Published on: 1949
• Binding: Hardcover
• 703 pages

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[S673.Ebook] Fee Download Hematology and Coagulation: A Comprehensive Review for Board Preparation, Certification and Clinical Practice, by Amer Wahed, Amitava Dasg

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Hematology and Coagulation is a clear and easy-to-read presentation of core topics and detailed case studies that illustrate the application of hematopathology knowledge to everyday patient care. In order to be successful, as well as to pass the American Board of Pathology examination, all pathology residents must have a good command of hematopathology, including the challenging topics of hematology and coagulation. Hematology and Coagulation meets this challenge head on.

This basic primer offers practical examples of how things function in the hematopathology clinic as well as useful lists, sample questions, and a bullet-point format ideal for quick pre-board review. This book provides only the most clinically relevant examples designed to educate senior medical students, residents and fellows and "refresh" the knowledge base, without overwhelming students, residents, and clinicians.

• Takes a practical and easy-to-read approach to understanding hematology and coagulation at an appropriate level for both board preparation as well as a professional refresher course
• Covers all important clinical information found in larger textbooks in a more succinct and easy-to-understand manner
• Covers essential concepts in hematopathology in such a way that fellows and clinicians understand the methods without having to become specialists in the field

• Sales Rank: #183898 in Books
• Published on: 2015-02-04
• Original language: English
• Number of items: 1
• Dimensions: 9.30" h x .80" w x 7.70" l, 2.00 pounds
• Binding: Hardcover
• 324 pages

Review

"It would be of interest to any pathologist or laboratory medicine practitioner in practice wanting a quick review of the subject…a great book to review in preparation for the clinical pathology board exam. Score: 86 - 3 Stars" --Doody's

"At A Glance Hematology and Coagulation is a clear and easy-to-read presentation of core topics and detailed case studies that illustrate the application of hematopathology knowledge to everyday patient care. In order to be successful, as well as to pass the American Board of Pathology examination, all pathology residents must have a good command of hematopathology, including the challenging topics of hematology and coagulation. Hematology and Coagulation meets this challenge head on. This basic primer offers practical examples of how things function in the hematopathology clinic as well as useful lists, sample questions, and a bulletpoint format ideal for quick preboard review. This book provides only the most clinically relevant examples designed to educate senior medical students, residents and fellows and "refresh" the knowledge base, without overwhelming students, residents, and clinicians.

Description: This is a review of clinical hematology and coagulation concepts, principles, and practices that are assessed in the clinical pathology board exam.

Purpose: The purpose is to provide a "strong foundation for students, residents and fellows embarking on the journey of mastering hematology" and to be a reference for preparation for the exam.

Audience: This book was written for "students, residents and fellows." It would be of interest to any pathologist or laboratory medicine practitioner in practice wanting a quick review of the subject. It may be of interest to other medical practitioners who want to gain some insight into contemporary hematology and coagulation testing (e.g., primary care physicians, specialists, etc.). The first author is relatively new to this field, but the senior author is widely published and internationally respected in the fields of clinical chemistry and toxicology.

Features: The 17 chapters cover most aspects of laboratory hematology, hematopathology, and coagulation. Each chapter follows a standard format of an introduction, explanation of standard tests/interpretations/processes, ending with a bulleted list of key points. This is a pretty comprehensive book, written in a no-frills, concise manner. I agree with the authors if the reader knows the majority of the material in this book, s/he is ready for the American Board of Pathology exam. There are no photomicrographs and only one flow cytometry figure in the book, instead readers are referred to online image banks for examples. Chapter 17, which discusses sources of error in hematology and coagulation, is relatively unique and enlightening. Experienced hematology laboratory directors would find this chapter useful.

Assessment: This is a great book to review in preparation for the clinical pathology board exam." --Valerie Ng, PhD MD (Alameda County Medical Center/Highland Hospital)

About the Author
Amer Wahed is a graduate of Medicine, training initially in Internal Medicine at Royal Postgraduate Medical School, London, England. He subsequently trained in Anatomic and Clinical Pathology from the University of Texas-Houston Medical School. After working for several years in a private setting, he joined the Department of Pathology and Laboratory Medicine at the University of Texas-Houston Health Sciences Center. Currently he is an Assistant Professor of Pathology and Laboratory Medicine and Associate Director of Clinical Chemistry and Immunology at Memorial-Hermann Hospital at the Texas Medical Center. He is also the Associate Director of the Pathology Residency Program at the University of Texas-Houston Medical School. Dr. Wahed has a strong interest in teaching and is actively involved in the education of medical students, graduate students, residents, and fellows. He has been recognized for his teaching contributions through awards from his department, as well as the Office of the Dean. He is also active in mentoring pathology residents in research and has published multiple papers in peer-reviewed journals.

Amitava Dasgupta received his PhD degree in Chemistry from Stanford University and his fellowship training in Clinical Chemistry from the Laboratory Medicine Department of the University of Washington School of Medicine at Seattle. He is a tenured Full Professor of Pathology and Laboratory Medicine at the University of Texas Health Sciences Center located at the Texas Medical Center at Houston. Dr. Dasgupta has published 210 scientific papers, written many invited review articles, and has edited, co-edited or written 15 books. He is on the Editorial Board of five major medical journals including American Journal of Clinical Pathology, Archives of Pathology and Laboratory Medicine, Therapeutic Drug Monitoring, Clinica Chimica Acta and Journal of Clinical Laboratory Analysis.

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1 of 1 people found the following review helpful.
Five Stars
By Numan
Nice quick review of topics. Please note this is for pathologists NOT clinical hematologists

0 of 0 people found the following review helpful.
I highly recommend this book for any pathology resident trying to do ...
By KJW
I highly recommend this book for any pathology resident trying to do well on their hematopathology rotation or studying for the boards. It is concise, high-yield, and easy to read. The “Key Points” section at the end of each chapter are especially well-done, and are exactly what you need to know for exams.

0 of 0 people found the following review helpful.
Five Stars
By Gorgeous shoes
I like it. It is excellent review book!!!

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[H740.Ebook] Free PDF Programming Collective Intelligence: Building Smart Web 2.0 Applications, by Toby Segaran

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Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it. Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general--all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:

• Collaborative filtering techniques that enable online retailers to recommend products or media
  
• Methods of clustering to detect groups of similar items in a large dataset
  
• Search engine features--crawlers, indexers, query engines, and the PageRank algorithm
  
• Optimization algorithms that search millions of possible solutions to a problem and choose the best one
  
• Bayesian filtering, used in spam filters for classifying documents based on word types and other features
  
• Using decision trees not only to make predictions, but to model the way decisions are made
  
• Predicting numerical values rather than classifications to build price models
  
• Support vector machines to match people in online dating sites
• Non-negative matrix factorization to find the independent features in adataset
  
• Evolving intelligence for problem solving--how a computer develops its skill by improving its own code the more it plays a game 

Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you.

"Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."
-- Dan Russell, Google

"Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."
-- Tim Wolters, CTO, Collective Intellect

• Sales Rank: #86785 in Books
• Brand: Segaran, Toby
• Published on: 2007-08-26
• Released on: 2007-08-23
• Original language: English
• Number of items: 1
• Dimensions: 9.19" h x .90" w x 7.00" l, 1.30 pounds
• Binding: Paperback
• 362 pages

About the Author
Toby Segaran is a software developer and manager at Genstruct, a computational systems biology company. He has written free web applications for his own use and put them online for others to try, including: tasktoy, a task management system; Lazybase, an online application that lets users design, create and share databases of anything they like; and Rosetta Blog, an online tool for practicing Spanish and French by reading blogs along with their translations and lists of common words. Each of these has several hundred regular users.

Most helpful customer reviews

111 of 115 people found the following review helpful.
Outdated
By Kyle
This is the first time I've actually taken the time to write out a review. I'm sure this book was awesome when it first came out, it is clear, concise and has a nice follow-along structure. However, it has become outdated and it is riddled with either old syntax and errors. I have gotten past most of that though. The worst part is probably that the files that are used in some of the examples are hosted on the authors blog and have been taken down. If he can't be bothered to continue hosting old files for people who may buy the book (or point us to somewhere to get them) we shouldn't be bothered to buy it.

13 of 13 people found the following review helpful.
Good - If you know what you're getting
By Denny
Let me start with pointing out what this book does well:

- The book gives a good survey of common Machine Learning algorithms. It explains what kind of problems these algorithms are good for. That's perfect for someone who wants to get a quick overview and has no background in Machine Learning.
- The book is very easy to understand. The writing style is very casual. Even people without formal training in Computer Science should have no problem. The only thing that's required is basic programming knowledge, preferably in Python.
- Among all of the theoretical ML books out there it's refreshing to find a book that applies the algorithms to real-world problems.

Now the negative points. The following are not necessarily negatives for everyone, as it really depends on what you were looking for in this book. However, I was expecting a bit more, and was disappointed about the following:

- Half of the books is code. I just don't see the point in printing full listing of Python code. Why not give shorter pseudocode and make the Python code available on the website? The long code listings only obfuscate the ideas instead of demonstrating how to apply them. If you take away the code listings there are maybe 150 pages of "real" content left.
- The very casual and easy-to-understand style comes at a price. The book does not go into the mathematical details of any of the algorithms. I understand that this wasn't the books intention to begin with, but I would argue that some mathematical background is necessary in order to efficiently apply complex algorithms. If you want to apply the algorithms presented in the book to slightly different or more complex problems, or wish to understand the advantages/disadvantages of each of the algorithms you'll have to know the basic math behind them.
- The algorithms are very poorly implemented. Looking at some of the code makes me cringe. While the code in the book may work for "Building a search engine" for a few thousand pages, or optimizing problems with a handful of variables, it certainly won't work for more interesting problems that involve real-world data, which is orders of magnitude larger. And the real-world scale is where these algorithms actually become interesting. The code in this book will only work for small examples where efficiency play no role. I understand the author wanted to keep the code as simple as possible, but in my opinion a few notes about how algorithms can be made more efficient would have been necessary. I can see many people trying to apply these algorithms to their real-world data, and getting stuck because of the poor implementation.

18 of 19 people found the following review helpful.
Outdates, Code no longer works
By albenali
I would not recommend anyone buying this book. The examples are outdated, based on sites that don't even exist anymore. The list of errata is huge (and doesn't even include all the errata I found).

Finally, the the author references old versions of python libraries that no longer 'work as advertised', or that have changed so radically that the example code will not even run - you'll be spending hours just figuring out how to update the code to be compatible with newer versions of the libraries referenced in the book. That in itself is a frustrating experience.

My advice is, get another book for Python or ML if that's what you're looking for and don't waste your time with this one.

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