Rare Diseases and Orphan Drugs shows that much of what we now know about common diseases has been achieved by studying rare diseases. It proposes that future advances in the prevention, diagnosis, and treatment of common diseases will come as a consequence of our accelerating progress in the field of rare diseases. Understanding the complex steps in the development of common diseases, such as cancer, cardiovascular disease, and metabolic diseases, has proven a difficult problem.

Rare diseases...

We constantly hear cries from politicians for teachers to have high expectations. But what this means in practical terms is never spelled out. Simply deciding that as a teacher you will expect all your students to achieve more than other classes you have taught in the same school, is not going to translate automatically into enhanced achievement for students.

Becoming a High Expectation Teacher is a book that every education student, training or practising teacher, should read. It details the...

Peter Hall’s seminal Cities of Tomorrow remains an unrivalled account of the history of planning in theory and practice, as well as of the social and economic problems and opportunities that gave rise to it. Now comprehensively revised, the fourth edition offers a perceptive, critical, and global history of urban planning and design throughout the twentieth-century and beyond. A revised and updated edition of this classic text from one of the most notable figures in the field of urban plann...

Using Political Ideas is a unique blend of political philosophy, political theory and history of political thought. It combines a critique of the major ideologies of recent and contemporary society with an analysis of the ideas that form the very stuff of political debate.

Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs in JAGS and Stan. The new programs are designed to be much easier to use than the scripts in the first edition.

In particular, there ar...

Put Predictive Analytics into ActionLearn the basics of Predictive Analysis and Data Mining through an easy to understand conceptual framework and immediately practice the concepts learned using the open source RapidMiner tool. Whether you are brand new to Data Mining or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Data Mining has become an essential tool for any enterprise tha...

Best practices for picking up the pieces when projects fail There are plenty of books available offering best practices that help you keep your projects on track, but offer guidance on what to do when the worst has already happened. Some studies show that more than half of all large-scale project fail either fail completely, or at least miss targeted budget and scheduling goals. These failures cost organizations time, money, and labor.

Project Recovery offers wise guidance and real-world best...

AP Biology is rigorous and challenging, but Principles of Life helps lighten the load with one-of-a-kind resources for students and teachers. Therein, experts in AP Biology offer point-of-use, in-the-margin teaching tips such as "Doing" Science, AP Exam Tips, Mini-Labs, Common Misconceptions, Science Literacy, and more.

Through examples and analogies, Computational Thinking for the Modern Problem Solver introduces computational thinking as part of an introductory computing course and shows how computer science concepts are applicable to other fields. It keeps the material accessible and relevant to noncomputer science majors. With numerous color figures, this classroom-tested book focuses on both foundational computer science concepts and engineering topics.

It covers abstraction, algorithms, logic, graph th...

The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version.