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Too often, content models are developed with no consideration of the system in which they have to operate. This book is an examination of how content actually gets modeled inside a CMS -- what features and architectures are available to translate a theoretical domain model into something that a CMS can manage. If you're looking for a CMS, what features should you look for? Does your current CMS measure up to the state of the market? What is possible in content modeling at this point in the industry? Table of Contents Introduction About this Guide How a CMS Helps (Or Hinders) Your Content Model The Anatomy of a Content Model Eval #1: What is the built-in content model? Timeout: What's the difference between built-in and custom? Eval #2: Can the built-in model be extended with custom content types? Timeout: Opinionated Software Eval #3: What built-in attribute types are available? Timeout: How Content Is Stored Eval #4: How is content represented in the API? Eval #5: How can attribute values be validated? Eval #6: How is the model supported in the editorial interface? Eval #7: Can an attribute value be a reference to another object? Timeout: Let's Evaluate the Current Level of Functionality Eval #8: Can an attribute value be an embedded content object? Eval #9: Can custom validation rules be built? Eval #10: Can custom attribute types be created? Eval #11: Can attribute values repeat? Eval #12: Can types be formed through inheritance or composition? Eval #13: Can content objects be organized into a hierarchy? Eval #14: Can content objects inherit from other content objects? Eval #15: What is the relationship between "pages" and "content"? Eval #16: Can access to types and attributes be limited by user permissions? Eval #17: How can rich text fields be structured? Eval #18: What options are available for dynamic page composition? Eval #19: What aggregation structures are available to organize content? Timeout: What Is and Isn't Considered "Content"? Eval #20: How can types be changed after object creation? Eval #21: How does the system model file assets? Eval #22: By what method is the content model actually defined? Eval #23: How does the system's API support the model? Conclusion Postscript: Thoughts on Model Interoperability About the Author
Create Genuine Visual Realism in Computer Graphics Digital Representations of the Real World: How to Capture, Model, and Render Visual Reality explains how to portray visual worlds with a high degree of realism using the latest video acquisition technology, computer graphics methods, and computer vision algorithms. It explores the integration of ne
Introduces various modeling and simulation methods and paradigms that are used to explain and solve the predominant challenges facing society Handbook of Real-World Applications in Modeling and Simulation provides a thorough explanation of modeling and simulation in the most useful, current, and predominant applied areas of transportation, homeland security, medicine, operational research, military science, and business modeling. Offering a cutting-edge and accessible presentation, this book discusses how and why the presented domains have become leading applications of modeling and simulation techniques. Contributions from leading academics and researchers integrate modeling and simulation theories, methods, and data to analyze challenges that involve technological and social issues. The book begins with an introduction that explains why modeling and simulation is a reliable analysis assessment tool for complex systems problems. Subsequent chapters provide an orientation to various modeling and simulation methods and paradigms that are used to explain and solve the predominant challenges across real-world applied domains. Additionally, the handbook: Provides a practical one-stop reference on modeling and simulation and contains an accessible introduction to key concepts and techniques Introduces, trains, and prepares readers from statistics, mathematics, engineering, computer science, economics, and business to use modeling and simulation in their studies and research Features case studies that are representative of fundamental areas of multidisciplinary studies and provides a concise look at the key concepts of modeling and simulation Contains a collection of original ideas on modeling and simulation to help academics and practitioners develop a multifunctional perspective Self-contained chapters offer a comprehensive approach to explaining each respective domain and include sections that explore the related history, theory, modeling paradigms, and case studies. Key terms and techniques are clearly outlined, and exercise sets allow readers to test their comprehension of the presented material. Handbook of Real-World Applications in Modeling and Simulation is an essential reference for academics and practitioners in the areas of operations research, business, management science, engineering, statistics, mathematics, and computer science. The handbook is also a suitable supplement for courses on modeling and simulation at the graduate level.
Looking to select a web content management system (CMS), but confused about the promises, terminology, and buzzwords? Do you want to understand content management without having to dive into the underlying programming? This book provides a clear, unbiased overview of the entire CMS ecosystem—from platforms to implementations—in a language- and platform-agnostic manner for project managers, executives, and new developers alike. Author Deane Barker, a CMS consultant with almost two decades of experience, helps you explore many different systems, technologies, and platforms. By the end of the book, you’ll have the knowledge necessary to make decisions about features, architectures, and implementation methods to ensure that your project solves the right problems. Learn what content is, how to compare different systems, and what the roles of a CMS team are Understand how a modern CMS models and aggregates content, coordinates workflow, and manages assets Explore the scope and structure of a CMS implementation project Learn the process and best practices for successfully running your CMS implementation Examine the practice of migrating web content, and learn how to work with an external CMS integrator
Organizations make thousands of automated, operational decisions every week. How well they make these decisions drives profitability, reputation and customer satisfaction. Decision modeling helps them understand, automate and improve them
You want increased customer satisfaction, faster development cycles, and less wasted work. Domain-driven design (DDD) combined with functional programming is the innovative combo that will get you there. In this pragmatic, down-to-earth guide, you'll see how applying the core principles of functional programming can result in software designs that model real-world requirements both elegantly and concisely - often more so than an object-oriented approach. Practical examples in the open-source F# functional language, and examples from familiar business domains, show you how to apply these techniques to build software that is business-focused, flexible, and high quality. Domain-driven design is a well-established approach to designing software that ensures that domain experts and developers work together effectively to create high-quality software. This book is the first to combine DDD with techniques from statically typed functional programming. This book is perfect for newcomers to DDD or functional programming - all the techniques you need will be introduced and explained. Model a complex domain accurately using the F# type system, creating compilable code that is also readable documentation---ensuring that the code and design never get out of sync. Encode business rules in the design so that you have "compile-time unit tests," and eliminate many potential bugs by making illegal states unrepresentable. Assemble a series of small, testable functions into a complete use case, and compose these individual scenarios into a large-scale design. Discover why the combination of functional programming and DDD leads naturally to service-oriented and hexagonal architectures. Finally, create a functional domain model that works with traditional databases, NoSQL, and event stores, and safely expose your domain via a website or API. Solve real problems by focusing on real-world requirements for your software. What You Need: The code in this book is designed to be run interactively on Windows, Mac and Linux.You will need a recent version of F# (4.0 or greater), and the appropriate .NET runtime for your platform.Full installation instructions for all platforms at fsharp.org.
Steven Holzner's friendly, easy-to-read style has turned this book (formerly known asInside XML) into the leading reference on XML. Unlike other XML books, this one is packed with hundreds of real-world examples, fully tested and ready to use! Holzner teaches you XML like no other author can, covering every major XML topic today and detailing the ways XML is used now--connecting XML to databases (both locally and on web servers), stying XML for viewing in today's web browsers, reading and parsing XML documents in browsers, writing and using XML schemas, creating graphical XML browsers, working with the Simple Object Access Protocol (SOAP), and a great deal more. Real World XML is designed to be the standard in XML coverage--more complete, and more accessible, than any other. "The author's approach is definitely bottom up, written in a highly personable tone. He makes efficient use of example code, which sets this book apart from many I have read in the past. His examples bring to life the code without overwhelming the reader, and he does not present any examples for which the reader has not been prepared. In addition, no prior knowledge of XML is assumed. As such, this is an excellent book for both beginners and intermediate level web designers and programmers. Experts, too, will find this book of value, due to its emphasis on real world applicability. Overall, this book will benefit all web developers and programmers, with a special emphasis on beginner and intermediate developers."--Donna A. Dulo, MS, MA, Senior Systems Engineer, U.S. Department of Defense "This book will provide a brilliant basis for anyone wishing to keep up to speed with the new XML developments."--Mr. Andrew Madden, Department of Computer Science, University of Wales "I found this book's strengths to be: its exhaustive specification reference for the conscientious developer; access to the official specs, which is key; the wide variety of choices provided for all aspects of XML; several alternatives provided for each editor, browser, parser, stylesheet transform engine, and programming language; and working examples that show the power of the tools used."--Jaime Ryan, Software Developer/Documentation Manager, Blue Titan Software
Too often, finance courses stop short of making a connection between textbook finance and the problems of real-world business. "Financial Modeling" bridges this gap between theory and practice by providing a nuts-and-bolts guide to solving common financial problems with spreadsheets. The CD-ROM contains Excel* worksheets and solutions to end-of-chapter exercises. 634 illustrations.
Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.
This book develops the mathematical tools essential for students in the life sciences to describe interacting systems and predict their behavior. From predator-prey populations in an ecosystem, to hormone regulation within the body, the natural world abounds in dynamical systems that affect us profoundly. Complex feedback relations and counter-intuitive responses are common in nature; this book develops the quantitative skills needed to explore these interactions. Differential equations are the natural mathematical tool for quantifying change, and are the driving force throughout this book. The use of Euler’s method makes nonlinear examples tractable and accessible to a broad spectrum of early-stage undergraduates, thus providing a practical alternative to the procedural approach of a traditional Calculus curriculum. Tools are developed within numerous, relevant examples, with an emphasis on the construction, evaluation, and interpretation of mathematical models throughout. Encountering these concepts in context, students learn not only quantitative techniques, but how to bridge between biological and mathematical ways of thinking. Examples range broadly, exploring the dynamics of neurons and the immune system, through to population dynamics and the Google PageRank algorithm. Each scenario relies only on an interest in the natural world; no biological expertise is assumed of student or instructor. Building on a single prerequisite of Precalculus, the book suits a two-quarter sequence for first or second year undergraduates, and meets the mathematical requirements of medical school entry. The later material provides opportunities for more advanced students in both mathematics and life sciences to revisit theoretical knowledge in a rich, real-world framework. In all cases, the focus is clear: how does the math help us understand the science?