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The Laboratory Mouse, Second Edition�is a�comprehensive book written by international experts.�With inclusions of the newly revised European standards on laboratory animals, this will be the most current, global authority on the care of mice in laboratory research. This well-illustrated�edition offers new and updated chapters including immunology, viruses and parasites, behavior, enrichment and care standards of laboratory mice�across the life sciences, medical and veterinary fields.

• Features four-color illustrations�with complete instruction on mouse surgery, anatomy, behavior and care of the mouse in laboratory research
• Offers additional�chapters on new mouse strains, phenotyping of strains, bacteria and parasites, and immunology
• Includes�the newly revised�EU standards on care, as well as, comparisons to standards and regulations in the US and other countries

• Sales Rank: #1246240 in Books
• Published on: 2012-07-30
• Original language: English
• Number of items: 1
• Dimensions: 10.90" h x 1.70" w x 8.70" l, 5.91 pounds
• Binding: Hardcover
• 868 pages

Review

"The Laboratory Mouse, 2nd Edition, deserves a place on the shelf of every laboratory animal medicine residency library and practitioner not only for its coverage of mouse biology and medicine, but also for its detailed descriptions of the emerging technologies and issues affecting the use of mice in research…My copy will get extensive use."--Laboratory Animal Practitioner, December 2013 "The book is enriched with excellent color figures and extensive literature…Researchers and students of the life science, medical and veterinary fields will find this book a necessary and useful tool."--Anticancer Research, Volume 33, Issue no. 5, May 2013 "In general, The Laboratory Mouse is well-written and easy to read.� It is a useful resource for inexperienced as well as experienced scientists who use mice as experimental animals."--Lab Animal, April 2013

From the Back Cover

The Laboratory Mouse, 2/e is a comprehensive book written by international experts.�Featuring newly revised European standards on laboratory animals, this book is the up-to-date authority on the care of mice in laboratory research internationally. New and updated chapters include immunology, bacteria and parasites, behavior, enrichment and care standards of laboratory mice. Well-illustrated, this dynamic second edition will find its place on the shelves of laboratories as the up-to-date resource for laboratory mice across the life sciences, medical and veterinary fields.

Key benefits

Four-color illustrated book with complete instruction on mouse surgery, anatomy, behavior and care of the mouse in laboratory research

New chapters on new mouse strains, phenotyping of strains, bacteria and parasites, as well as immunology

Inclusion of newly revised EMEA standards on care, as well as, comparisons to U.S. and other countries’ standards and regulations

About the editor

Hans J. Hedrich is a professor at Hannover Medical School in Germany. He is currently the interim president of the European College of Laboratory Animal Medicine (ECLAM) and an honorary member of the American College of Laboratory Animal Medicine (ACLAM).

Most helpful customer reviews

0 of 0 people found the following review helpful.
Five Stars
By Melvin H. Fleetwood Jr.
Great resource.

0 of 2 people found the following review helpful.
Five Stars
By UCLA - Hematology-Oncology
Great price and fast delivery.

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[J877.Ebook] PDF Ebook Digital Strategy: A Guide to Digital Business Transformation, by Alexander Rauser

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Digital Strategy: A Guide to Digital Business Transformation delivers practical solutions for enterprises operating in today’s fast-paced business environment.

This book is for any businessperson who either wishes to stay relevant amid the rapid pace of technology innovation or wants to be a digital disrupter.

If you’re in business today, you probably use digital technology to run your day-to-day operations. But if you don’t have a digital strategy, you’re at risk of losing out to your competitors by either failing to recognize the potential tools available or wasting resources while trying to prepare for digital disruption.

This accessible book guides you through the steps of understanding what a digital strategy is; realizing how it can serve your business objectives; creating, implementing, and maintaining your digital strategy; and ultimately discovering how your strategy can help you innovate.

Learn to manage your risks and opportunities, outperform the competition, and even shake up your industry with Digital Strategy: A Guide to Digital Business Transformation.

• Sales Rank: #153569 in Books
• Published on: 2016-03-12
• Original language: English
• Number of items: 1
• Dimensions: 8.00" h x .40" w x 5.00" l, .39 pounds
• Binding: Paperback
• 174 pages

About the Author

Alexander Rauser has a strong fifteen-year creative, digital media, and technology background spanning online and offline channels. Working with companies ranging from multinationals to small businesses as they implement strategic digital solutions, he has redesigned a large number of enterprise systems from user experience and technical perspectives.

After working for several creative agencies in Germany and leading the design and digital operations for a German record label, Rauser ventured to the UAE in 2005 to build his international client portfolio.

In 2010, he founded the strategic digital agency Prototype Interactive. And with his expertise and immense knowledge of the digital industry, Rauser has positioned Prototype as a leading interactive agency specializing in digital strategies for medium-to-large enterprises.

Today, Prototype involves a group of professionals focused on thought leadership, innovation, and exacting tactical execution in the digital media environment.

Most helpful customer reviews

3 of 3 people found the following review helpful.
Small book but worth the money
By pansak arpakajorn
With his hand-on experience, the author clearly explains on how companies create, implement, maintain and innovate the organization’s digital strategy.I’ve learned two things from this book.The first thing is general information on digital strategy described in the “Introduction” and Chapter 1”.The second thing is detailed information on digital strategy described in “Chapter2 to Chapter 7”.
In the “Introduction” the author describes the story of technologies from the past, present and future with some examples. The author has found out that the process of digital transformation is sometimes mistaken for a one-time process to achieve digital excellence. He therefore emphasizes that digital transformation is ongoing process which requires continuous improvement over time. The author also touches on “digital investment” which many companies heavily invested in hardware and software but fail to deliver the expected results in the end. I agree with him on this point.
In chapter 1, the author proposes the definition of Digital Strategy. Some components such as process, collecting information, planning, identifying risks and opportunities, maintenance, and creating sub strategies are also included as parts of digital strategy. The author points out the need of having digital strategy in an organization as a tool to consolidate and align all digital efforts with common business objectives. The author also points out the risks of not having a clear digital strategy. The scope of digital strategy is provided with some practical examples. In my view, it is very important for top management in every organization to clearly understand the scope and definition of digital strategy before moving toward the next steps.
Chapter 2 is about “Strategy Creation”. The author provides step by step process in creating digital strategy which goes deeper into the business. The author explains how to get information from stakeholder, top management, department heads, and end users. In parallel with getting the information, a method for creating a digital asset inventory is proposed with an example. An important point in this chapter is organization’s business objectives. Some examples are helpful. Many other topics are discussed ranging from asset auditing, SWOT analysis, to planning, risks and ROI. This chapter is the beginning step on creating digital strategy. In my view, corporate strategy department should not be tasked to create this strategy alone it requires great supports from other stakeholders as well as top management who understand the concept of digital transformation and has a clear view on how digital strategy will look like. Without these supports the digital strategy is less likely to happen.
Chapter 3 provides information on Strategy Implementation based on the organization’s Digital Strategy. Creation of a clear roadmap for all digital initiatives is the first step. Measurement plan is proposed to measure the success of the strategy. The author proposes to use iterative process, when implementing new digital assets, instead of using a rigid start to finish approach. Impact of user experience also explained together with user experience process. “Experience over technology” is worth noting as the author reflects the fact ,in organizations, that bad practice on technology decision always made before thinking about the actual experience that end users will have. Governance model is also proposed. Another bad practice is technical debt that the author points out in this chapter. Some suggestions are given.
Chapter 4 provides information about “Substrategies”. Some well-known substrategies such as Mobile first, Web strategy, Inbound and Outbound marketing are provided with some examples. Content and CRM are also provided as a part of substrategies. Further reading is required on this topic.
It is known that digital strategy must be continuously improved and be continuously evaluated over time. In chapter 5, the author provides how tools are used for maintaining digital strategy. Data collection and analytics are mentioned as part of maintenance activities. A/B and multivariate testing are given as tools to improve the performances of the strategy .On the topic of technical maintenance it is also worth noting that most maintenance works is corrective rather than adaptive or preventive. I believe this situation always happens in organizations all over the world. With the information suggests by the author, digital transformation of organizations require more proactive work and clear policy on strategy maintenance to avoid unnecessary redundant works which could lead to messy situation in the end.
In chapter 6, the author proposes the meaning of innovation from his perspective. The story of a company that did not manage to innovate all areas of its products then failed to stay as dominant player is explained. Innovation on mobile operating systems is also provided as an example. Building a company culture for innovation has been discussed with some suggestions.
In chapter 7, the author summarizes what he has described in chapter 1- 6.He also emphasizes the importance of having clear definition of digital strategy. The author also suggests that the digital education should be added as part of the strategy. The author gives a view on being a good strategist which requires an understanding business as a whole. Experimentation is also mentioned as a tool for innovation and creativity. Business objectives and KPI are mentioned as they are essential tools to improve the digital asset over time.
This remarkable book highlights the specific areas of digital strategy which consists of four major topics i.e. strategy creation, strategy implementation, strategy maintenance and innovation. Further reading is required if you want to see different perspectives of digital transformation.
I like the way the author describes things in this book. However, non-fiction book without an index is not familiar to me. It would be helpful for readers if an index is provided in the end of the book.
Creating a digital strategy in a company is not an easy task. It requires a lot of effort, knowledge, understanding, leadership, and right people. Good guidebooks are absolutely required. This book could be one of them.

4 of 4 people found the following review helpful.
Loved it! Was definitely worth postponing a couple of game of thrones episodes to read it.
By Amazon Customer
Great and precise book that touches on a lot of important topics. I was particularly fond of the measurement plan and how important it is to not only collect numbers, but also to be prepared to react to them. I am not new to creating digital strategies and many of the points discussed are what one would do intuitively, however it's a good collection of steps to take and has some interesting samples showcased.
In a nutshell, being in the industry, I wouldn't only recommend it to my peers, but also for people that work on the client side as it gives both sides a broader perspective on digital transformation.

3 of 3 people found the following review helpful.
A practical framework to approach "digital"
By newnewyorker
Digital Strategist is a poorly understood role. Businesses expect this person to work out how to get social buzz and click-throughs. Creative directors expect this person to come up with "content" strategy (but stay away from "creative" because that part is his/hers). While peers never quite understood what digital strategists do. This book tackle this problem head-on by laying out a practical framework for a digital strategist and business to follow. It is an awsome first step to educate the industry that "digital" is much more than just "digital marketing".

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Master the craft of predictive modeling by developing strategy, intuition, and a solid foundation in essential concepts

About This Book

• Grasp the major methods of predictive modeling and move beyond black box thinking to a deeper level of understanding
• Leverage the flexibility and modularity of R to experiment with a range of different techniques and data types
• Packed with practical advice and tips explaining important concepts and best practices to help you understand quickly and easily

Who This Book Is For

This book is intended for the budding data scientist, predictive modeler, or quantitative analyst with only a basic exposure to R and statistics. It is also designed to be a reference for experienced professionals wanting to brush up on the details of a particular type of predictive model. Mastering Predictive Analytics with R assumes familiarity with only the fundamentals of R, such as the main data types, simple functions, and how to move data around. No prior experience with machine learning or predictive modeling is assumed, however you should have a basic understanding of statistics and calculus at a high school level.

What You Will Learn

• Master the steps involved in the predictive modeling process
• Learn how to classify predictive models and distinguish which models are suitable for a particular problem
• Understand how and why each predictive model works
• Recognize the assumptions, strengths, and weaknesses of a predictive model, and that there is no best model for every problem
• Select appropriate metrics to assess the performance of different types of predictive model
• Diagnose performance and accuracy problems when they arise and learn how to deal with them
• Grow your expertise in using R and its diverse range of packages

In Detail

R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions in the real world. With its constantly growing community and plethora of packages, R offers the functionality to deal with a truly vast array of problems.

This book is designed to be both a guide and a reference for moving beyond the basics of predictive modeling. The book begins with a dedicated chapter on the language of models and the predictive modeling process. Each subsequent chapter tackles a particular type of model, such as neural networks, and focuses on the three important questions of how the model works, how to use R to train it, and how to measure and assess its performance using real world data sets.

By the end of this book, you will have explored and tested the most popular modeling techniques in use on real world data sets and mastered a diverse range of techniques in predictive analytics.

• Sales Rank: #321077 in Books
• Published on: 2015-06-30
• Released on: 2015-06-17
• Original language: English
• Number of items: 1
• Dimensions: 9.25" h x .94" w x 7.50" l, 1.56 pounds
• Binding: Paperback
• 300 pages

About the Author

Rui Miguel Forte

Rui Miguel Forte is currently the chief data scientist at Workable. He was born and raised in Greece and studied in the UK. He is an experienced data scientist who has over 10 years of work experience in a diverse array of industries spanning mobile marketing, health informatics, education technology, and human resources technology. His projects include the predictive modeling of user behavior in mobile marketing promotions, speaker intent identification in an intelligent tutor, information extraction techniques for job applicant resumes, and fraud detection for job scams. Currently, he teaches R, MongoDB, and other data science technologies to graduate students in the business analytics MSc program at the Athens University of Economics and Business. In addition, he has lectured at a number of seminars, specialization programs, and R schools for working data science professionals in Athens. His core programming knowledge is in R and Java, and he has extensive experience working with a variety of database technologies, such as Oracle, PostgreSQL, MongoDB, and HBase. He holds a master's degree in electrical and electronic engineering from Imperial College London and is currently researching machine learning applications in information extraction and natural language processing.

Most helpful customer reviews

8 of 8 people found the following review helpful.
Very poor, convoluted, verbose explanations in spite of good examples
By Paulo C. Rios Jr.
The choice of subjects and of examples is excellent, but this text suffers from very poor explanations. Much of the text is a kind of summary and rewriting of some chapters of the great book "Introduction to Statistical Learning" (ISL). But it isn't done consistenly well. The chapter on linear regression has good explanations, although not stellar (the author doesn't seem to care about using partial derivatives from calculus without first mentioning to readers about the advanced treatment). The chapters on logistic regression, neural networks and support vector machines have very poor explanations and suffer from the lack of a deeper conceptual framework and understanding. The chapter on decision tree has such a poor text that it makes a simple model look rather complicated. Most of the other chapters suffer from the same, especially the chapter on time series analysis that is also very poor.

The examples in the text are interesting. The choice of the package caret for data preprocessing makes the code much more readable. The constant assessment tests are another great aspect of this book. But the hidden placement of cross-validation inside the chapter on support vector machines isn't a good idea. Cross-validation merits an earlier and more relevant treatment. This is an area where the author doesn't follow ISL that has a chapter specially devoted to resampling methods where cross-validation receives a deserved, distinguished treatment. The order of the chapters isn't good either. Neural networks and support vector machines should have come later, in any case after decision trees (as ISL did too). Apart from the poor and verbose explanations, it seems that this book also suffers where it departed from ISL, that is, where it treats subjects not covered there (neural networks and time series analysis, for example).

Its explanations are sincerely bad and such a pain that its great examples aren't enough to sustain them.

3 of 3 people found the following review helpful.
I love that the author has filled the book with interesting ...
By Panagiotis Angelopoulos
As a data scientist lead, I found this to be a book that is full of clear explanations on the important topics you need to master predictive modeling. I love that the author has filled the book with interesting and valuable references that go beyond just citing a classic textbook and the fact that he gets his hands dirty and writes some R code that isn't just a three line execution of someone else's package. The code samples provided with the book are very well organized and make it trivial to pick up and execute examples from anywhere in the book. I'm currently recommending this to everyone who joins my team.

2 of 3 people found the following review helpful.
Great book, real-life examples
By PCTriangle
I received this book a few days ago and I'm only through 3 chapters but I'm already very impressed with the clarity of the real-world examples it contains. You should know some basic statistics to help you understand various concepts. If you are into seeing mathematical proofs behind algorithms, this book is not for you. However, it gives you enough information to know how to pre-process the data (cleansing, transformations) and items you make assumptions behind analyses. The R codes are well documented and the outputs are well explained. It is one of the best hands-on and concrete PA + R books I've seen.

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Valerie Carter has been released from The Rock to find herself as the figurehead of the Rebellion. She must return to Olympus, the capital planet of the Pantheon, yet again, to convince the Legion rank and file to join their cause. How can she do this when she is responsible for the greatest tragedy in their 1,500 year history?
Only if she can reclaim the name of the Battleborn and prove herself worthy of their allegiance would they agree to follow her. There will be no more hiding. Soon everyone in the Pantheon will know her name and face.
With the might of Shadow Company, the skills of the Crew and support of Hanna and Deni, Valerie will fight for the Manual men and women. She will fight for their rights against the Privileged.
Even with this immense responsibility riding on her shoulders, she has but one goal. She will find the man responsible for the deaths of her family and she will have her vengeance.

• Sales Rank: #1142288 in eBooks
• Published on: 2015-08-30
• Released on: 2015-08-30
• Format: Kindle eBook

Most helpful customer reviews

0 of 0 people found the following review helpful.
Nice conclusion
By Adam Stocks
Very long but ultimately nice conclusion to the trilogy. Really enjoyed this series. Could have easily been four books if had divided this one

0 of 0 people found the following review helpful.
Good series
By The BookWorm
Again some editing problems that keep this series from being 5 stars. I would recommend this series though as I enjoyed the story.

0 of 0 people found the following review helpful.
Four Stars
By Amazon Customer
Great read, just as good as the others.

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[J640.Ebook] Free PDF The Marathi Book of Animals, by Supriya Kelkar

Free PDF The Marathi Book of Animals, by Supriya Kelkar

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The Marathi Book of Animals, by Supriya Kelkar

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Learn the Marathi words for "cockroach," "cow," "mosquito" and more in this illustrated book for kids.

• Sales Rank: #2121723 in Books
• Published on: 2013-11-28
• Original language: English
• Dimensions: 9.00" h x .8" w x 6.00" l,
• Binding: Paperback
• 30 pages

About the Author
Recipient of the 2015 New Visions Award, Supriya's middle grade debut, AHIMSA, will be published by Tu Books in Fall 2018. Supriya works as a screenwriter for the Indian production house, Vinod Chopra Films. Her credits include work on the writing teams of Eklavya: The Royal Guard and Lage Raho Munnabhai, and an Associate Producer credit on Broken Horses.

Most helpful customer reviews

0 of 0 people found the following review helpful.
good book,need more of these
By Amazon Customer
Nice,recommended.Animation could have been better.

More Marathi kids books needed,someone bring Fursungi cha Faster-Fene into e-books please ASAP !

P.Sandeep

0 of 0 people found the following review helpful.
Five Stars
By drsn97um
Great for teaching the kids the language. Cute pictures.

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