Kamis, 30 Desember 2010

[D393.Ebook] Free Ebook Fundamentals of Psychiatry, by Allan Tasman, Wanda K. Mohr

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Fundamentals of Psychiatry, by Allan Tasman, Wanda K. Mohr

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Fundamentals of Psychiatry, by Allan Tasman, Wanda K. Mohr

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Fundamentals of Psychiatry, by Allan Tasman, Wanda K. Mohr

Allan Tasman, Professor of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, has teamed up with Wanda Mohr, Professor, Psychiatric Mental Health Nursing, University of Medicine and Dentistry of New Jersey, to produce a user-friendly textbook for Psychiatry Residents.�

Drawing on material from the acclaimed Psychiatry 3e, this book features high quality material, selected on a need-to-know basis, with an emphasis on uniformity, evenness, and accessibility, all within a multi-disciplinary framework.

  • Highly suitable for course development and as augmented reading assignments
  • Accessible to readers from junior to senior Residents; a good primer on which to focus initially, with pointers to further reading
  • Informed by an integrative perspective and a multi-disciplinary approach
  • Features sound clinical advice throughout, illustrated with case vignettes
  • The sort of book a trainee can dip into easily to access clear knowledge, when one needs relevant information quickly

  • Sales Rank: #1070180 in Books
  • Published on: 2011-03-07
  • Released on: 2011-02-28
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.60" h x .90" w x 6.70" l, 1.73 pounds
  • Binding: Paperback
  • 464 pages

Review

"Overall the handbook is a well written, engaging, comprehensive review of the current literature on the efficacy of various interventions for alcohol and other illicit drug use disorders. It could become a useful guide for physicians and other health care professionals looking for scientific evidence for relevant interventions, as well as for researchers to better understand where their future studies need to focus on." (Asian Journal of Psychiatry, 2013)

"Distilling the vast amount of psychiatric information into a foundational text is no easy task, yet the authors have masterfully accomplished it, providing a book that will be of great value to those interested in mental health."(Doody's, 2011)








From the Back Cover
Effective care of complex mental health problems requires teamwork and a shared vision, but standard textbooks overlook the importance of multidisciplinary cooperation. To provide the specific information trainees need for proper patient care, Allan Tasman and Wanda Mohr combined their expertise from Psychiatry and Psychiatric Nursing to create Fundamentals of Psychiatry, a pioneering work that takes a distinctive integrative and multidisciplinary approach to psychiatry.

They have rewritten the essential information from the main chapters of Psychiatry, Third Edition, (edited by Tasman, Kay, Lieberman, First, and Maj) to produce a thorough but compact first textbook for those in training in mental health or for practitioners interested in a compact clinical reference. The intent was not to be exhaustive or comprehensive, but to distill the content to a "need to know" form.

This book is a complete reference for DSM IV-TR disorders. It includes screening and assessment measures, differential diagnosis, necessary laboratory tests for diagnosis and treatment, the major treatment modalities (including psychopharmacotherapeutics), and special issues practitioners may face in treating patients with each disorder, including consultation and referral. It also provides information on therapeutic relationships, professional relationships, diagnostic methods, psychiatric emergencies, cultural and ethical/legal issues.

The nature of psychiatric disorders is such that understanding the person who has the illness, with all their pre-existing personal strengths and weaknesses, is essential to optimal understanding of the patient and for implementing a treatment plan. The authors take an integrative approach to patient care that acknowledges the complexity and uniqueness of the whole person within his or her contexts, making use of many means of understanding them. This philosophical approach affirms the collaborative relationship between patients, their families, and caregivers from different disciplines.

Within their unique multidisciplinary framework, the authors present an extremely well-written guide that:

  • features sound clinical advice throughout, reflecting current thinking without overwhelming the reader with references and data
  • presents clinical vignettes that illustrate common situations
  • is especially suitable for course development and as augmented reading assignments
  • is accessible to readers from junior to senior trainees.

This careful condensation of the massive psychiatric knowledge base is as engaging as it is user-friendly. Mental health professionals in training and in practice can turn to Fundamentals of Psychiatry with confidence in not only the quality of the material, but also the relevance to actual patient care.

Also of Interest

Tasman, Kay, Lieberman, First and Maj, Psychiatry, Third Edition, ISBN 9780470065716

About the Author
Allan Tasman is Past President of the American Psychiatric Association and immediate Past-President of the Pacific Rim College of Psychiatrists. He is a world-renowned psychiatric leader and educator and is Secretary for Education of the World Psychiatric Association, responsible for all of the association’s worldwide education programmes and initiatives.� He has great experience in writing textbooks, numerous journal articles, book chapters, reports, and articles for the popular press.

Wanda K. Mohr is a certified clinical nurse specialist in child/adolescent psychiatric nursing, and a Fellow in the American Academy of Nursing.� She holds a masters degree in behavioral sciences and a PhD in psychiatric nursing. She has almost 40 years of practice and teaching psychiatric nursing.� In addition to the breadth and depth of clinical and academic expertise, she is a professor in a major University School of Nursing and an adjunct clinical associate professor of child psychiatry at the Robert Wood Johnson Medical School.

Most helpful customer reviews

1 of 1 people found the following review helpful.
Good vs Ok; it all depends on your level of training
By Harry M. Shin
1. I think the amazon description is pretty decent in regards to this book, but here are my brief thoughts:
a. The most important thing for any potential purchaser of this book to realize is that this is really for medical students. It might also be helpful for a 1rst year psych resident or any resident from other specialties. Beyond that, it lacks any depth / details to be of any help to those who are senior psych residents and beyond.
b. Among all the seemingly outdated textbooks out there, this is a definite breath of fresh air. It's well written, it is concise and most importantly, you can tell that it's actually been updated and not some rehash from something that was written 20 years ago (ie as in Kaplan and Sadock).

2. Thus in summary, I would give this a 5 star for all those who are not senior psych residents and above (ie a very good, concise, well written, fairly up to date book on general psychiatry). For those who are senior psych residents and beyond, don't get this book because it'll be too basic and most importantly won't have any detailed data to help you in your practice.

1 of 1 people found the following review helpful.
kindle format
By nursedot
I would have really liked to know that this particular book does NOT come with page numbers if you buy the kindle/ online version (even though the recent updates apparently do provide page numbers, they do not for all books including this one). Try typing "Kindle location numbers" in APA formatting for writing assignments! Not going to work. This is my first experience with Kindle for text books, pretty disappointed.

1 of 1 people found the following review helpful.
NO page numbers
By soonerpilot
Books seems okay so far. BUT...how can you give me a textbook without PAGE NUMBERS?? Seriously, no page numbers. I understand that this is an ebook, but my instructors aren't assigning reading based on kindle location. They're giving me page numbers.

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Jumat, 24 Desember 2010

[X194.Ebook] Ebook Download Tanya and the Magic Wardrobe (Picture Puffins), by Patricia Lee Gauch

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Tanya and the Magic Wardrobe (Picture Puffins), by Patricia Lee Gauch

Tanya and her mother are going to see Copp�lia and arrive at the theater early. While they wait, Tanya sees an older woman carrying tutus. To entertain Tanya, the woman shows her costumes. Together, Tanya and the woman dance their own versions of several ballets. They finish with the best ballet of all-Copp�lia, the story of how a doll comes to life.

  • Sales Rank: #4967350 in Books
  • Brand: Brand: Puffin
  • Published on: 2001-02-19
  • Released on: 2001-02-19
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.60" h x .13" w x 8.60" l,
  • Binding: Paperback
  • 32 pages
Features
  • Used Book in Good Condition

From School Library Journal
Kindergarten-Grade 3. When Tanya and her mother arrive early at the theater for a performance of Coppelia, the girl follows an elderly woman down a hallway and discovers a dressing room with a green wardrobe full of wonderful costumes. Tanya and the woman dress up and dance parts from Sleeping Beauty, Cinderella, and the Nutcracker Suite. Finally, they perform Coppelia, with Tanya as the magic doll, and the dressing room becomes a stage complete with scenery and beautifully costumed dancers. The book ends with Tanya sitting down with her mother to watch the ballet she has just seen in her own imagination. Ballet fans will snap up this latest addition to the popular series and will turn again and again to the illustrations of Coppelia, painted in colors just dark enough to be mysterious. The two-page spread showing all of the toys coming to life in luminous detail captures perfectly the magic of the famous ballet. The smoothly written text provides just enough narrative to keep the story flowing, letting the illustrations fill in the rest. Once again, Tanya steals the show in this well-executed picture book that pays tribute both to the beauty of dance and to the power of a child's imagination.?Dawn Amsberry, Oakland Public Library, CA
Copyright 1997 Reed Business Information, Inc.

Most helpful customer reviews

0 of 0 people found the following review helpful.
Wonderful Story
By Cheryl Braddock
I purchased this book for my studio and it will work perfect for reading to students and ideas for upcoming shows!

4 of 4 people found the following review helpful.
The Best Tanya Yet
By Charlie
Tanya and the Magic Wardrobe is magic itself. Wardrobe's and Magic have been inextricably linked since C.S. Lewis (c.f. the Lion, the Witch and the Wardrobe) and in this book the tradition continues.
The illustrations are as usual delightful and the prose is beautifully expressive of the magic that always seems to exist between the very old and the very young (the Old Dancer and Tanya), between those who share a love of something greater than themselves (dance), and the magic of dress-up (whether in the theater or the play room).
Our own ballerina asked for this story to be read three times the day we brought it home, and has asked for it again every day since. And I can't wait to read it to her again and again.

1 of 3 people found the following review helpful.
Fun For Little Ballerinas
By Terrie
Warm-hearted, colorful illustrations carry us along with Tanya and her new friend, the wardrobe lady at the performance of the ballet Coppelia. When Tanya gets lost backstage she is lucky enough to experience a "show and tell" about some of the costumes from other famous ballets. She dances with the wardrobe lady and the French ballet terms are sprinkled liberally throughout the story. This book would be well appreciated by a certain niche of readers but would probably not be of interest to non-dancers.

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Rabu, 22 Desember 2010

[A264.Ebook] Download Chapter 13, Clinical Techniques used for Nonhuman Primates (American College of Laboratory Animal Medicine), by Christian Abee

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NOTE: This is a single chapter excerpted from the book Nonhuman Primates in Biomedical Research, made available for individual purchase. Additional chapters, as well as the entire book, may be purchased separately.


The second edition of the gold standard text in the field, Nonhuman Primates in Biomedical Research provides a comprehensive, up-to-date review of the use of nonhuman primates in biomedical research. The Biology and Management volume provides basic information on the natural biology of nonhuman primates and the current state of knowledge regarding captive management.Each chapter contains an extensive list of bibliographic references, photographs, and graphic illustrations to provide the reader with a thorough review of the subject.



* Fully revised and updated, providing researchers with the most comprehensive review of the use of nonhuman primates in biomedical research

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* Includes four color images throughout

  • Published on: 2012-03-29
  • Released on: 2012-03-29
  • Format: Kindle eBook

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Senin, 20 Desember 2010

[R998.Ebook] Download Computational Financial Mathematics Using Mathematica, by Srdjan Stojanovic

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This second edition presents an applied approach to financial mathematics and provides an overview of existing and original material. Sophisticated theories are presented systematically in a user-friendly style which promotes a powerful combination of mathematical rigor and Mathematica programming. Three kinds of solution methods are emphasized: symbolic, numerical, and Monte--Carlo.This new comprehensive study guide presents several additional financial problems that can be directly applied in the field, i.e., Integral-PDE Dupire equations, inverse problems, 3-D numerical pricing equations, obstacle problems, optimal portfolio problem for momentum markets.The book is intended for instructors and graduate students interested in financial mathematics as well as mathematically inclined investors and traders who rely on cash, stocks, and stock options on a regular basis.

  • Published on: 2012-02-27
  • Original language: English
  • Binding: Hardcover
  • 300 pages

Review
"Stojanovic offers an excellent, user-friendly presentation of advanced mathematical techniques and Mathematica programming for solving problems in finance and trading. He demonstrates the value of probability, mathematical statistics, calculus of variations, and optimal control of stochastic, ordinary and partial differential equations to the study of market analysis. Solutions are computed symbolically, numerically, or by means of Monte-Carlo simulations.... A very useful and valuable book for researchers, students, professionals, and individual investors." Choice"It is an innovative approach and is very useful for students and practitioners in finance to learn how to use mathematics for investment analysis." Mathematical Reviews"This book is a state-of-the-art introduction to the mathematics of computational finance. The author reviews and extends several recent breakthroughs and also provides new material, which is highly recommended. The novel use of Mathematica enhances the learn

From the Back Cover
This second edition presents an applied approach to financial mathematics and provides an overview of existing and original material. Sophisticated theories are presented systematically in a user-friendly style which promotes a powerful combination of mathematical rigor and Mathematica programming. Three kinds of solution methods are emphasized: symbolic, numerical, and Monte--Carlo.This new comprehensive study guide presents several additional financial problems that can be directly applied in the field, i.e., Integral-PDE Dupire equations, inverse problems, 3-D numerical pricing equations, obstacle problems, optimal portfolio problem for momentum markets.Second Edition Key features: * Presents new material and updates for Mathematica 6.0;* Does not require any previous knowledge of Mathematica 6.0 programming;* Utilizes the symbolic, numeric, data management and graphic capabilities of Mathematica 6.0;* Develops Monte--Carlo solutions of scalar and multivariable SDEs;* Solves Black--Scholes and Dupire PDEs symbolically as well as numerically;* Provides fast numerical solutions to free boundary problems with details of their Mathematica 6.0 realizations.The book is intended for instructors and graduate students interested in financial mathematics as well as mathematically inclined investors and traders who rely on cash, stocks, and stock options on a regular basis.

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Rabu, 15 Desember 2010

[S642.Ebook] Free PDF R and Data Mining: Examples and Case Studies, by Yanchang Zhao

Free PDF R and Data Mining: Examples and Case Studies, by Yanchang Zhao

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R and Data Mining: Examples and Case Studies, by Yanchang Zhao



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R and Data Mining: Examples and Case Studies, by Yanchang Zhao

This book guides R users into data mining and helps data miners who use R in their work. It provides a how-to method using R for data mining applications from academia to industry. It

  • Presents an introduction into using R for data mining applications, covering most popular data mining techniques
  • Provides code examples and data so that readers can easily learn the techniques
  • Features case studies in real-world applications to help readers apply the techniques in their work and studies
The R code and data for the book are provided at the RDataMining.com website.

The book� helps researchers in the field of data mining, postgraduate students who are interested in data mining, and data miners and analysts from industry. For the many universities that have courses on data mining, this book is an invaluable reference for students studying data mining and its related subjects. In addition, it is a useful resource for anyone involved in industrial training courses on data mining and analytics. The concepts in this book help readers as R becomes increasingly popular for data mining applications.

  • Sales Rank: #495352 in Books
  • Brand: Brand: Academic Press
  • Published on: 2012-12-25
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.02" h x .63" w x 5.98" l, 1.20 pounds
  • Binding: Hardcover
  • 256 pages
Features
  • Used Book in Good Condition

From the Author
Table of Contents:

1 Introduction���
��� 1.1 Data Mining
��� 1.2 R
��� 1.3 Datasets
������� 1.3.1 The Iris Dataset
������� 1.3.2 The Bodyfat Dataset

2 Data Import and Export
��� 2.1 Save and Load R Data
��� 2.2 Import from and Export to .CSV Files
��� 2.3 Import Data from SAS
��� 2.4 Import/Export via ODBC
������� 2.4.1 Read from Databases
������� 2.4.2 Output to and Input from EXCEL Files

3 Data Exploration
��� 3.1 Have a Look at Data
��� 3.2 Explore Individual Variables
��� 3.3 Explore Multiple Variables
��� 3.4 More Explorations
��� 3.5 Save Charts into Files

4 Decision Trees and Random Forest
��� 4.1 Decision Trees with Package party
��� 4.2 Decision Trees with Package rpart
��� 4.3 Random Forest

5 Regression
��� 5.1 Linear Regression
��� 5.2 Logistic Regression
��� 5.3 Generalized Linear Regression
��� 5.4 Non-linear Regression

6 Clustering
��� 6.1 The k-Means Clustering
��� 6.2 The k-Medoids Clustering
��� 6.3 Hierarchical Clustering
��� 6.4 Density-based Clustering

7 Outlier Detection
��� 7.1 Univariate Outlier Detection
��� 7.2 Outlier Detection with LOF
��� 7.3 Outlier Detection by Clustering
��� 7.4 Outlier Detection from Time Series
��� 7.5 Discussions

8 Time Series Analysis and Mining
��� 8.1 Time Series Data in R
��� 8.2 Time Series Decomposition
��� 8.3 Time Series Forecasting
��� 8.4 Time Series Clustering
������� 8.4.1 Dynamic Time Warping
������� 8.4.2 Synthetic Control Chart Time Series Data
������� 8.4.3 Hierarchical Clustering with Euclidean Distance
������� 8.4.4 Hierarchical Clustering with DTW Distance
��� 8.5 Time Series Classification
������� 8.5.1 Classification with Original Data
������� 8.5.2 Classification with Extracted Features
������� 8.5.3 k-NN Classification
��� 8.6 Discussions
��� 8.7 Further Readings

9 Association Rules
��� 9.1 Basics of Association Rules
��� 9.2 The Titanic Dataset
��� 9.3 Association Rule Mining
��� 9.4 Removing Redundancy
��� 9.5 Interpreting Rules
��� 9.6 Visualizing Association Rules
��� 9.7 Discussions and Further Readings

10 Text Mining
��� 10.1 Retrieving Text from Twitter
��� 10.2 Transforming Text
��� 10.3 Stemming Words
��� 10.4 Building a Term-Document Matrix
��� 10.5 Frequent Terms and Associations
��� 10.6 Word Cloud
��� 10.7 Clustering Words
��� 10.8 Clustering Tweets
������� 10.8.1 Clustering Tweets with the k-means Algorithm
������� 10.8.2 Clustering Tweets with the k-medoids Algorithm
��� 10.9 Packages, Further Readings and Discussions

11 Social Network Analysis
��� 11.1 Network of Terms
��� 11.2 Network of Tweets
��� 11.3 Two-Mode Network
��� 11.4 Discussions and Further Readings

12 Case Study I: Analysis and Forecasting of House Price Indices
��� 12.1 Importing HPI Data
��� 12.2 Exploration of HPI Data
��� 12.3 Trend and Seasonal Components of HPI
��� 12.4 HPI Forecasting
��� 12.5 The Estimated Price of a Property
��� 12.6 Discussion

13 Case Study II: Customer Response Prediction and Profit Optimization
��� 13.1 Introduction
��� 13.2 The Data of KDD Cup 1998
��� 13.3 Data Exploration
��� 13.4 Training Decision Trees
��� 13.5 Model Evaluation
��� 13.6 Selecting the Best Tree
��� 13.7 Scoring
��� 13.8 Discussions and Conclusions

14 Case Study III: Predictive Modeling of Big Data with Limited Memory
��� 14.1 Introduction
��� 14.2 Methodology
��� 14.3 Data and Variables
��� 14.4 Random Forest
��� 14.5 Memory Issue
��� 14.6 Train Models on Sample Data
��� 14.7 Build Models with Selected Variables
��� 14.8 Scoring
��� 14.9 Print Rules
������� 14.9.1 Print Rules in Text
������� 14.9.2 Print Rules for Scoring with SAS
��� 14.10 Conclusions and Discussion

15 Online Resources
��� 15.1 R Reference Cards
��� 15.2 R
��� 15.3 Data Mining
��� 15.4 Data Mining with R
��� 15.5 Classification/Prediction with R
��� 15.6 Time Series Analysis with R
��� 15.7 Association Rule Mining with R
��� 15.8 Spatial Data Analysis with R
��� 15.9 Text Mining with R
��� 15.10 Social Network Analysis with R
��� 15.11 Data Cleansing and Transformation with R
��� 15.12 Big Data and Parallel Computing with R

About the Author
Dr. Yanchang Zhao is a Senior Data Mining Specialist in Australian public sector. Before joining public sector, he was an Australian Postdoctoral Fellow (Industry) at University of Technology, Sydney from 2007 to 2009. He is the founder of the RDataMining.com website and an RDataMining Group on LinkedIn. He has rich experience in R and data mining. He started his research on data mining since 2001 and has been applying data mining in real-world business applications since 2006. He has over 50 publications on data mining research and applications, including three books. He is a senior member of IEEE, and has been a Program Chair of the Australasian Data Mining Conference (AusDM 2012 & 2013) and a program committee member for more than 50 academic conferences.

Most helpful customer reviews

13 of 13 people found the following review helpful.
Low-quality and savagely overpriced
By Dimitri Shvorob
It's not all bad - I really like the R-resources links in Chapter 15, and give points for Chapters 10 and 11, with basic examples of text mining and network analysis, and for the predictive-modeling case study in Chapter 13. (But why do the percentages on page 172 exceed 100?) However, "R and data mining" is not worth anywhere near $70, and as far as substance and quality are concerned, it is one of the weakest books I have seen. On one hand, you are introduced to several useful built-in R functions and "add-on" R packages, including "party" for classification trees, "cluster" and "fpc" for clustering, "arules" for association-rule learning, "tm" for text mining and "igraph" for network visualization. On the other hand, until Chapter 15, there is pretty little value-added - it's as if the author googled a package, and copy-pasted a vignette from the doc. Things are really basic throughout, even where one might expect complexity - Chapter 14 has the most disappointing example. The page count (200+) overstates content, as the book is seriously heavy on whitespace: code and output, hideously typeset, takes up way more space than needed and is often redundant. I do not recommend the purchase, and suggest "Machine learning with R" by Brett Lantz as a better alternative.

UPD. With the benefit of a little more life experience, I would say: don't spend your time on *any* R book. Python is the way to go.

7 of 7 people found the following review helpful.
Pricey and data unavailable
By chrismatic
The book is way too pricey for its content and some data in the examples are not even available publicly and need to be purchased separately

5 of 6 people found the following review helpful.
Not worth buying
By Graham Webster
I have only read a draft copy that the author has / had on his website, and it is a very disappointing book. For example, the content about each data mining method is very sparse, and as one other reviewer noted, with lots of white space, code, and output. Very little comment about how to use the methods in practice. It certainly looks as though for these chapters the author has copy / pasted material from R package documentation. Not worth buying, there is a lot of other material available of much better quality.

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