[Y225.Ebook] Download Ebook Back Stability:Integrating Science and Therapy 2nd Edition, by Christopher Norris

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Back Stability: Integrating Science and Therapy, Second Edition, is designed to help practitioners recognize and manage back conditions using proven clinical approaches to stabilize the spine. More than just another sequence of back exercises, this text provides a theoretical foundation that will guide you in selecting the most effective exercises for each client and integrating them into a complete program to offer the best possible care in back health.

A focus on evidence-based practice pervades Back Stability to address one of the most common maladies of modern living: back pain. This text combines research from around the world in the areas of anatomy, physiology, pathology, biomechanics, exercise physiology, and motor skill training with the practical knowledge of author Christopher Norris, a physiotherapist, exercise professional, and teacher for more than 30 years. With his expertise, you will gain the practical knowledge to help you recognize and assess inappropriate movement patterns—whether caused by injury or simple day-to-day activity—and use a process of clinical decision making to determine which exercises to use in developing effective back care programs.

In addition to updated research, the second edition has undergone many changes that improve the book's layout and make it more user friendly:

-The 33 new exercises as well as modified versions of previous exercises help refine and customize each program.

-Detailed teaching elements throughout the book provide constructive and motivating ways to prescribe exercises to clients and patients.

-Photographs clearly demonstrate each exercise technique and, where appropriate, are overlayed with arrows or lines to show proper body alignment.

-A second color is integrated throughout the text, enhancing the visual flow.

-Bullet points summarize and facilitate quick reference of exercise technique, and checklists aid in exercise prescription.

-A larger format for the text allows for a more attractive presentation with bigger photos and easier recognition of important information.
The second edition of Back Stability is organized into five parts that follow a logical progression from initial concepts to clinical applications. The text introduces the problems of back pain and instability and provides an explanation of spinal anatomy, movements, and the physics of lifting. A discussion follows of the basic skills required for developing stability. Assessments of posture and muscle balance are highlighted, and foundational movements for development of core stability are introduced.
After covering the basics, the text moves into more practical applications by presenting progressive exercises and basic equipment used for developing greater stability. Information on abdominal training, resistance apparatus, speed and power, and practical functional progressions will help your patients or clients increase back stability and enhance performance. Finally, real-life patient examples illustrate how to structure a full back stability program.

Back Stability: Integrating Science and Therapy, Second Edition, presents an alternative method for the treatment of back pain and provides each patient or client the opportunity to actively participate in recovery and maintenance. By integrating the science behind back pain into a useable format for understanding and application, Back Stability offers proven methods of care and assists your work with clients and patients to alleviate their pain, increase their back stability, and help them return to a fully functional lifestyle.

• Sales Rank: #2062638 in Books
• Brand: Brand: Human Kinetics
• Published on: 2008-04-03
• Original language: English
• Number of items: 1
• Dimensions: 11.19" h x 1.12" w x 8.49" l, 2.74 pounds
• Binding: Hardcover
• 360 pages

Features

• Used Book in Good Condition

Review
"This is one of the few texts that takes the reader from basic exercises to advanced resistance training. For that reason, it is recommended for all individuals involved in strength and conditioning at every level."Dan WathenYoungstown State University

Review

“This is one of the few texts that takes the reader from basic exercises to advanced resistance training. For that reason, it is recommended for all individuals involved in strength and conditioning at every level.”
Dan Wathen
Youngstown State University

About the Author

Christopher M. Norris, PhD, is a physiotherapist and director of Norris Associates, which operates two private clinics in northwestern England that specialize in exercise therapy for back rehabilitation. Norris is also a consultant to several Blue Chip industries in northwestern England providing on-site physiotherapy services, on-site holistic therapy, training in ergonomics, and training in manual handling.

In addition to more than 30 years of clinical experience, Norris has served as a postgraduate lecturer in the United Kingdom and Europe and as an external examiner and visiting lecturer for several universities in the United Kingdom. He serves on the board of directors of the International Sports and Spine Society and on the international advisory board (IAB) for the Journal of Bodywork Movement Therapies. He is a former IAB member of Physical Therapy in Sport and Sport Exercise and Injury.

Norris resides in Congleton in the Cheshire region of England. In his free time he enjoys coaching and practicing ju jitsu, running in the Cheshire countryside, and hill walking in the Peak National Park.

Most helpful customer reviews

8 of 10 people found the following review helpful.
Execellent book, written mostly for a health practitioner
By A Customer
This is a great book by a really good author. He is very grounded in science and there are a lot of different exercises. I am someone who is working to overcome back pain and about 50% of this book is too technical for me. Like some other authors talk about, one of the key points in the book is the some back pain is caused by poor posture and alignment of the pelvis. This is central to Pilates as well. I have found this to be true, but correcting it is the tricky part.

1 of 1 people found the following review helpful.
Highly recommended!
By Black Cat
This is a really good book for anyone in the personal training or health industry. I'm a Pilates instructor and the book Muscles: Testing and Function by Kendall et. al. is recommended reading to better understand posture and the way muscle tension affects the body. This book provides a lot of information that is found in Kendall's book, but is much easier to read! It explains how incorrect posture and muscle tightness can lead to back issues. It explains the core muscles and their importance. It provides instructions and illustrations on flexibility testing and strengthening exercises. I highly recommend this book!

0 of 0 people found the following review helpful.
quick delivery
By cesrav
the book arrived well and I am very happy about it. There is not damage, that's why I like it the most. Thank you!

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[D519.Ebook] Fee Download Managing Reform in Universities: The Dynamics of Culture, Identity and Organisational Change (Issues in Higher Education)From Palgrave M

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From the perspectives of culture, identity and organizational change, this collection explores how universities are coping with the range of reforms and changes taking place across higher education.

• Sales Rank: #2751161 in eBooks
• Published on: 2012-09-27
• Released on: 2012-09-27
• Format: Kindle eBook

About the Author
ALBERTO AMARAL Professor at the University of Porto, Portugal SONIA CARDOSO Researcher at the Centre for Research in Higher Education Policies, Portugal DAVID D. DILL Professor Emeritus of Public Policy, Department of Public Policy, The University of North Carolina at Chapel Hill, USA NICOLINE FROLICH Research Professor at NIFU, Norway MARY HENKEL former Professor in the Department of Government, Brunel University, UK ANA I. MELO Assistant Professor at the University of Aveiro, Portugal AMY SCOTT METCALFE Assistant Professor in the Department of Educational Studies at the University of British Columbia, USA GUY NEAVE Emeritus Professor at CIPES, Portugal KEIJO RASANEN Professor in the field of Organization and Management at the Aalto University School of Economics, Finland MARIA J. ROSA Assistant Professor at the University of Aveiro, Portugal KERSTIN SAHLIN Professor in the Department of Business Studies, and Deputy Vice-Chancellor of the University of Uppsala, Sweden TAINA SAARINEN Researcher at the Centre for Applied Language Studies, University of Jyv�skyl�, Finland

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Leverage the power of Scala with different tools to build scalable, robust data science applications

About This Book

• A complete guide for scalable data science solutions, from data ingestion to data visualization
• Deploy horizontally scalable data processing pipelines and take advantage of web frameworks to build engaging visualizations
• Build functional, type-safe routines to interact with relational and NoSQL databases with the help of tutorials and examples provided

Who This Book Is For

If you are a Scala developer or data scientist, or if you want to enter the field of data science, then this book will give you all the tools you need to implement data science solutions.

What You Will Learn

• Transform and filter tabular data to extract features for machine learning
• Implement your own algorithms or take advantage of MLLib's extensive suite of models to build distributed machine learning pipelines
• Read, transform, and write data to both SQL and NoSQL databases in a functional manner
• Write robust routines to query web APIs
• Read data from web APIs such as the GitHub or Twitter API
• Use Scala to interact with MongoDB, which offers high performance and helps to store large data sets with uncertain query requirements
• Create Scala web applications that couple with JavaScript libraries such as D3 to create compelling interactive visualizations
• Deploy scalable parallel applications using Apache Spark, loading data from HDFS or Hive

In Detail

Scala is a multi-paradigm programming language (it supports both object-oriented and functional programming) and scripting language used to build applications for the JVM. Languages such as R, Python, Java, and so on are mostly used for data science. It is particularly good at analyzing large sets of data without any significant impact on performance and thus Scala is being adopted by many developers and data scientists. Data scientists might be aware that building applications that are truly scalable is hard. Scala, with its powerful functional libraries for interacting with databases and building scalable frameworks will give you the tools to construct robust data pipelines.

This book will introduce you to the libraries for ingesting, storing, manipulating, processing, and visualizing data in Scala.

Packed with real-world examples and interesting data sets, this book will teach you to ingest data from flat files and web APIs and store it in a SQL or NoSQL database. It will show you how to design scalable architectures to process and modelling your data, starting from simple concurrency constructs such as parallel collections and futures, through to actor systems and Apache Spark. As well as Scala's emphasis on functional structures and immutability, you will learn how to use the right parallel construct for the job at hand, minimizing development time without compromising scalability. Finally, you will learn how to build beautiful interactive visualizations using web frameworks.

This book gives tutorials on some of the most common Scala libraries for data science, allowing you to quickly get up to speed with building data science and data engineering solutions.

Style and approach

A tutorial with complete examples, this book will give you the tools to start building useful data engineering and data science solutions straightaway

• Sales Rank: #866758 in Books
• Published on: 2016-01-28
• Released on: 2016-01-28
• Original language: English
• Number of items: 1
• Dimensions: 9.25" h x .94" w x 7.50" l, 1.57 pounds
• Binding: Paperback
• 416 pages

About the Author

Pascal Bugnion

Pascal Bugnion is a data engineer at the ASI, a consultancy offering bespoke data science services. Previously, he was the head of data engineering at SCL Elections. He holds a PhD in computational physics from Cambridge University. Besides Scala, Pascal is a keen Python developer. He has contributed to NumPy, matplotlib and IPython. He also maintains scikit-monaco, an open source library for Monte Carlo integration. He currently lives in London, UK.

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4 of 4 people found the following review helpful.
A practical approach to taming data science with Scala's functional paradigm
By adnan baloch
One of the hottest jobs these days is that of the data scientist. It makes sense given the explosion of data generated by the online activities of millions of internet users and collected by online businesses and social media websites. As the author of this book explains, data scientists need to be conversant in three areas at once: programming, statistics/numerical algorithms and the ability to ask the right questions that will help in making decisions crucial to expanding a business and keeping it competitive. This book deals with the first of these essential skills: programming. Scala is a functional programming language with powerful parallel computing capabilities. The functional part of the language ensures that code written in Scala is terse and avoids common bugs that are the major source of headaches in traditional languages like Python or Java. The one place where Scala lags is in the availability of mature libraries. Still, the author discusses several good Scala libraries that make the Scala programmer's job easy so she can focus on the actual data science. Breeze and Breeze-viz are put to use in manipulating arrays of data and plotting simple graphs respectively. Parallel collections are explained intuitively so that anyone without any experience of parallel computation will find it useful. Futures make it possible to add further concurrency to Scala based projects by freeing the main thread from blocking events like waiting to receive data from a web page.
Databases form the core of data storage in any data focused programming solution. The author shows how to write a functional wrapper for JDBC and also discusses a popular functional wrapper called Slick so the readers will be equipped to handle both scenarios depending on their needs. Gathering data from the web can hardly work without an understanding of interfacing with APIs. The author takes a very practical approach in exploring this crucial aspect by querying the Github API and storing the data in MongoDB. Furthermore, readers get to see how to create their own simple web API. Sooner or later, data scientists have to turn to distributed computing for the horsepower needed to complete their complex calculations. Actor based concurrency using Akka fills this gap and the author gives it an excellent treatment in a dedicated chapter. Machine learning is discussed using MLlib but a good conceptual understanding of ML is needed for this chapter. The uninitiated are forewarned: don't expect the author to teach machine learning in a single chapter. For me, the most exciting two chapters are the ones that use the Play framework with D3.js to build a single page app. This represents true empowerment because it enables budding data scientists to share their fruits of labor with the entire web community in a visually captivating way. In short, data scientists wondering about Scala's effectiveness as a great tool for data science need only skim through this book. They won't be disappointed.

3 of 3 people found the following review helpful.
Scala for Data Science was a fairly good introduction for me to applied Scala applications and interoperability
By DWR
Scala for Data Science was a fairly good introduction for me to applied Scala applications and interoperability. Working through a few examples in this book proved to be my first foray into using Scala. In my opinion, the book seemed a bit light on techniques for statistical learning, but was rich in tools showing how to Scala with JSON, APIs, SQL, MongoDB, and Spark.

2 of 2 people found the following review helpful.
Great book!
By Timothy J. Whittaker
I spent a lot of time looking for a book like this. The other reviewer is correct, there is very little on actual statistical learning in this text, but this is not the author's aim. To me, this is more about awareness of some great Scala (and Java) libraries (with application) that any data scientist should find useful. The definition of data science taken by this book is probably the broadest I have seen - there is something worthwhile in every single chapter of this book.

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