Here is a book containing information about more than 500 Web sites about dinosaurs. Sites are rated for quality and cross-referenced by type, level of complexity, and availability of special features.

When the night sky transforms terrestrial landscapes into otherworldly works of art, you need to know the professional techniques for capturing your own nocturnal masterpieces. This complete course combines the classic beauty of landscapes with the vast, exotic universe of astrophotography, using tried-and-tested methods that guarantee stellar results. You'll learn what gear you need and how to make the most of it; clever tricks for squeezing out every drop of image quality from a pitch-black scene; and straightforward post-production workflows to create compelling compositions of the cosmos.

This book constitutes the proceedings of the First International Conference on 5G for Future Wireless Networks, 5GWN 2017, held in Beijing, China, in April 2017. The 64 full papers were selected from 135 submissions and present the state of the art and practical applications of 5G technologies. The exponentially growing data traffic caused by the development of mobile Internet and smart phones requires powerful networks. The fifth generation (5G) techniques are promising to meet the requirements of this explosive data traffic in future mobile communications.

Learn Julia programming by building fun projects, like launching rockets, building password keepers, and even coding battle simulations. Julia as a Second Language covers: How Julia implements data types such as numbers, strings, arrays, and dictionaries Solving problems with both object-oriented and functional programming Getting immediate feedback with Julia’s read-evaluate-print-loop (REPL) Taking advantage of Julia’s powerful multiple dispatch system Sharing code using modules and packages Julia as a Second Language introduces Julia to readers with a beginning-level knowledge of another language like Python or JavaScript. It skips programming basics and dives straight into Julia's unique features. You’ll learn by coding engaging hands-on projects that encourage you to apply what you are learning immediately. About the technology Julia is a powerful high-performance programming language with many developer-friendly features like garbage collection, dynamic typing, just-in-time compilation, and a flexible approach to concurrent, parallel, and distributed computing. Although Julia's strong numerical programming features make it a favorite of data scientists, it is also an awesome general purpose programming language. Julia's users call it the "goldilocks language", with a "just right" balance of performance and productivity. About the reader Readers need basic skills with another programming language like Python, JavaScript, or C#.

Best books of 2021, Financial Times 'Grab some popcorn and take a front row seat, because Robin Wigglesworth has an astonishing story to tell you' Tim Harford, author of How to Make the World Add Up 'A fascinating account of an investment revolution' Ian Fraser, Literary Review 'A magisterial, delightfully written history offering up portraits of the academic scribblers and entrepreneurial practitioners who created the index-fund revolution' The Wall Street Journal 'Wigglesworth has written an important book' Patrick Hosking, Financial Editor, The Times 'A terrific read' Gregory Zuckerman, author of The Man Who Solved the Market 'A fascinating journey and a crucial book for anyone trying to understand the financial markets' Bradley Hope, author of Billion Dollar Whale --------------------------------------------------------------------------------------------------------- In Trillions, Financial Times journalist Robin Wigglesworth unveils the vivid secret history of index funds, bringing to life the colourful characters behind their birth, growth and evolution into a world-conquering phenomenon. It is the untold story behind one of the most pressing financial uncertainties of our time. --------------------------------------------------------------------------------------------------------- 'An easy-to-understand and fun read, full of lively characters and little-known details of how finance really works today' Gillian Tett, author of Anthro-Vision

Discover Agile for Better Instructional Design To serve business needs amid greater volatility and uncertainty in the workplace, learning and development professionals need project management methods that can keep up. Enter Agile. Popular in the software development space as an approach to project management, Agile when applied to instructional design provides a framework for adapting to change as it happens and for delivering the content most needed by learners. Agile for Instructional Designers proposes using Agile methodology to manage training projects and highlights where traditional linear processes have failed the business and the end users. Recognizing that software development and instructional design have different needs and outcomes, author Megan Torrance developed the LLAMA™ methodology. Her approach adapts the common phases of ADDIE to incorporate the incremental, iterative nature of Agile projects. It allows learners to test and evaluate which features or design functions work before they’re finalized. It also offers a way to accommodate inevitable mid-project modifications pushed by stakeholders, subject matter experts, or organizational leaders. With templates for goal alignment, learner personas, scope definition, estimating, planning, and iterative development, Agile for Instructional Designers is the resource you need to embrace change in learning and development.

Are you trying to figure out how to safely use social media but finding yourself struggling? Here’s a book specifically designed to help regular people figure out social media platforms. It begins with a chapter about social media basics: how they normally work, why people use them, and general safety tips. It is easy to get confused by the large number of options that are out there so this book breaks down each major network into its own chapter. Chapters are included for: ·Facebook ·Snapchat ·Pinterest ·LinkedIn ·Instagram ·YouTube ·Twitter ·Reddit, and ·Tumblr. Because each social media platform has its their own rules, benefits, and challenges, each chapter gives a summary of the platform and tells the reader why people use it. Next, each chapter has a glossary of terms to explain language and slang that are used. This will help people who are new to social media learn about terminology like subreddits, retweets, and more. If readers decide to use the platform (or already use it and want to learn more), each chapter guides users through a “how-to� of using each platform. This includes the basic functionality, setting up profiles, settings, and odd features that even current users may not know about. Privacy and safety are also covered, with a platform-specific section devoted to these important issues in each chapter. Two final chapters cover other notable social media platforms that readers might want to know about and archiving tips for saving social media posts and information. This book can help people new to social media, people joining new social media, and people who are already on but want to learn how to better manage and protect their accounts.

Almost half of all software projects fail to deliver on key requirements. Behavior-Driven Development (BDD) reduces these costly failures by building a shared understanding of how an application should work.   Behavior Driven Development in Action, Second Edition  teaches communication skills, collaborative practices, and automation tools that ensure everyone from developers to non-technical stakeholders are in agreement on the goals of a project. Revised and expanded in a second edition, the book contains new techniques for incorporating BDD into large-scale development practices such as Agile and DevOps, as well as updating examples for the latest versions of Java. about the technology You can’t write good software if you don’t understand what it’s supposed to do. Behavior-Driven Development (BDD) encourages developers, quality teams, and non-technical stakeholders to collaborate, using conversation and concrete examples to make sure everyone agrees how an application should work and what features really matter. With a body of best practices and sophisticated tools for requirement analysis and test automation, BDD has become a mainstream practice for keeping projects on track and avoiding cancellation. what's inside BDD theory and practice How BDD will affect your team BDD for acceptance, integration, and unit testing Automating web services Reporting and living documentation about the reader For all development teams. No experience with BDD required. Examples written in Java.

This book is both a reference for engineers and scientists and a teaching resource, featuring tutorial chapters and research papers on feature extraction. Until now there has been insufficient consideration of feature selection algorithms, no unified presentation of leading methods, and no systematic comparisons.

This book is devoted to a novel approach for dimensionality reduction based on the famous nearest neighbor method that is a powerful classification and regression approach. It starts with an introduction to machine learning concepts and a real-world application from the energy domain. Then, unsupervised nearest neighbors (UNN) is introduced as efficient iterative method for dimensionality reduction. Various UNN models are developed step by step, reaching from a simple iterative strategy for discrete latent spaces to a stochastic kernel-based algorithm for learning submanifolds with independent parameterizations. Extensions that allow the embedding of incomplete and noisy patterns are introduced. Various optimization approaches are compared, from evolutionary to swarm-based heuristics. Experimental comparisons to related methodologies taking into account artificial test data sets and also real-world data demonstrate the behavior of UNN in practical scenarios. The book contains numerous color figures to illustrate the introduced concepts and to highlight the experimental results.  

Approaches in Integrative Bioinformatics provides a basic introduction to biological information systems, as well as guidance for the computational analysis of systems biology. This book also covers a range of issues and methods that reveal the multitude of omics data integration types and the relevance that integrative bioinformatics has today. Topics include biological data integration and manipulation, modeling and simulation of metabolic networks, transcriptomics and phenomics, and virtual cell approaches, as well as a number of applications of network biology. It helps to illustrate the value of integrative bioinformatics approaches to the life sciences. This book is intended for researchers and graduate students in the field of Bioinformatics. Professor Ming Chen is the Director of the Bioinformatics Laboratory at the College of Life Sciences, Zhejiang University, Hangzhou, China. Professor Ralf Hofestädt is the Chair of the Department of Bioinformatics and Medical Informatics, Bielefeld University, Germany.

Fuzzy Cognitive Maps (FCM) constitute cognitive models in the form of fuzzy directed graphs consisting of two basic elements: the nodes, which basically correspond to “concepts� bearing different states of activation depending on the knowledge they represent, and the “edges� denoting the causal effects that each source node exercises on the receiving concept expressed through weights. Weights take values in the interval [-1,1], which denotes the positive, negative or neutral causal relationship between two concepts. An FCM can be typically obtained through linguistic terms, inherent to fuzzy systems, but with a structure similar to the neural networks, which facilitates data processing, and has capabilities for training and adaptation. During the last 10 years, an exponential growth of published papers in FCMs was followed showing great impact potential. Different FCM structures and learning schemes have been developed, while numerous studies report their use in many contexts with highly successful modeling results.   The aim of this book is to fill the existing gap in the literature concerning fundamentals, models, extensions and learning algorithms for FCMs in knowledge engineering. It comprehensively covers the state-of-the-art FCM modeling and learning methods, with algorithms, codes and software tools, and provides a set of applications that demonstrate their various usages in applied sciences and engineering.

Learn to write C++ programs by interfacing a computer to a wide range of popular and fundamental real-world technologies. Unique and original approach to use the PC to do real things- not just number crunching and graphics – but writing programs to interact with the outside world. Learn C++ programming in an enjoyable and powerful way. Includes a purpose-designed circuit board

At a time when nearly every vertical, regardless of domain, seems to need software running in the cloud to make money, microservices provide the agility and drastically reduced time to market you require. This hands-on guide shows you how to create, test, compile, and deploy microservices, using the ASP.NET Core free and open-source framework. Along the way, you’ll pick up good, practical habits for building powerful and robust services. Building microservices isn’t about learning a specific framework or programming language; it’s about building applications that thrive in elastically scaling environments that don't have host affinity, and that can start and stop at a moment’s notice. This practical book guides you through the process. Learn test-driven and API-first development concepts Communicate with other services by creating and consuming backing services such as databases and queues Build a microservice that depends on an external data source Learn about event sourcing, the event-centric approach to persistence Use ASP.NET Core to build web applications designed to thrive in the cloud Build a service that consumes, or is consumed by, other services Create services and applications that accept external configuration Explore ways to secure ASP.NET Core microservices and applications

Bulletproof TLS and PKI is a complete guide to using TLS encryption and PKI to deploy secure servers and web applications. Written by Ivan Ristic, author of the popular SSL Labs web site, this book will teach you everything you need to know to protect your systems from eavesdropping and impersonation attacks. In this book, you'll find just the right mix of theory, protocol detail, vulnerability and weakness information, and deployment advice to get your job done: - Comprehensive coverage of the ever-changing �eld of SSL/TLS and Internet PKI, with updates to the digital version - For IT professionals, help to understand security risks - For system administrators, help to deploy systems securely - For developers, help to secure web applications - Practical and concise, with added depth as needed - Introduction to cryptography and the Internet threat model - Coverage of TLS 1.3 as well as earlier protocol versions - Discussion of weaknesses at every level, covering implementation issues, HTTP and browser problems, and protocol vulnerabilities - Coverage of the latest attacks, such as BEAST, CRIME, BREACH, Lucky 13, RC4 biases, Triple Handshake Attack, and Heartbleed - Thorough deployment advice, including advanced technologies, such as Strict Transport Security, Content Security Policy, and pinning - Guide to using OpenSSL to generate keys and certificates and to create and run a private certification authority - Guide to using OpenSSL to test servers for vulnerabilities

The aim of this book is to unlock the power of the freeware R language to advanced university students and researchers dealing with whole-rock geochemistry of (meta-) igneous rocks. The first part covers data input/output, calculation of commonly used indexes and plotting in R. The core of the book then focusses on the presentation and practical implementations of modelling techniques used for fingerprinting processes such as partial melting, fractional crystallization, binary mixing or AFC using major-, trace-element and radiogenic isotope data. The reader will be given a firm theoretical basis for forward/reverse modelling, followed by exercises dealing with typical problems likely to be encountered in real life, and their solutions using R. The concluding sections demonstrate, using practical examples, how a researcher can proceed in developing a realistic model simulating natural systems. The appendices outline the fundamentals of the R language and provide a quick introduction to the open-source R-package GCDkit for interpretation of whole-rock geochemical data from igneous and metamorphic rocks.

This book contains innovative research from leading researchers who presented their work at the 17th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2013, held in Kitakyusha, Japan, in September 2013. The conference provided a competitive field of 236 contributors, from which 38 authors expanded their contributions and only 21 published. A plethora of techniques and innovative applications are represented within this volume. The chapters are organized using four themes. These topics include: data mining, knowledge management, advanced information processes and system modelling applications. Each topic contains multiple contributions and many offer case studies or innovative examples. Anyone that wants to work with information repositories or process knowledge should consider reading one or more chapters focused on their technique of choice. They may also benefit from reading other chapters to assess if an alternative technique represents a more suitable approach. This book will benefit anyone already working with Knowledge-Based or Intelligent Information Systems, however is suitable for students and researchers seeking to learn more about modern Artificial Intelligence techniques.

This book covers the basic theory, practical details and advanced research of the implementation of evolutionary methods on physical substrates. Most of the examples are from electronic engineering applications, including transistor-level design and system-level implementation. The authors present an overview of the successes achieved, and the book will act as a point of reference for both academic and industrial researchers.

The aim of this book is to advocate and promote network models of linguistic systems that are both based on thorough mathematical models and substantiated in terms of linguistics. In this way, the book contributes first steps towards establishing a statistical network theory as a theoretical basis of linguistic network analysis the boarder of the natural sciences and the humanities. This book addresses researchers who want to get familiar with theoretical developments, computational models and their empirical evaluation in the field of complex linguistic networks. It is intended to all those who are interested in statistical models of linguistic systems from the point of view of network research. This includes all relevant areas of linguistics ranging from phonological, morphological and lexical networks on the one hand and syntactic, semantic and pragmatic networks on the other. In this sense, the volume concerns readers from many disciplines such as physics, linguistics, computer science and information science. It may also be of interest for the upcoming area of systems biology with which the chapters collected here share the view on systems from the point of view of network analysis.

This book addresses the problems that are encountered, and solutions that have been proposed, when we aim to identify people and to reconstruct populations under conditions where information is scarce, ambiguous, fuzzy and sometimes erroneous. The process from handwritten registers to a reconstructed digitized population consists of three major phases, reflected in the three main sections of this book. The first phase involves transcribing and digitizing the data while structuring the information in a meaningful and efficient way. In the second phase, records that refer to the same person or group of persons are identified by a process of linkage. In the third and final phase, the information on an individual is combined into a reconstruction of their life course. The studies and examples in this book originate from a range of countries, each with its own cultural and administrative characteristics, and from medieval charters through historical censuses and vital registration, to the modern issue of privacy preservation. Despite the diverse places and times addressed, they all share the study of fundamental issues when it comes to model reasoning for population reconstruction and the possibilities and limitations of information technology to support this process. It is thus not a single discipline that is involved in such an endeavor. Historians, social scientists, and linguists represent the humanities through their knowledge of the complexity of the past, the limitations of sources, and the possible interpretations of information. The availability of big data from digitized archives and the need for complex analyses to identify individuals calls for the involvement of computer scientists. With contributions from all these fields, often in direct cooperation, this book is at the heart of the digital humanities, and will hopefully offer a source of inspiration for future investigations.

This engaging volume celebrates the life and work of Theodor Holm “Ted� Nelson, a pioneer and legendary figure from the history of early computing. Presenting contributions from world-renowned computer scientists and figures from the media industry, the book delves into hypertext, the docuverse, Xanadu and other products of Ted Nelson’s unique mind. Features: includes a cartoon and a sequence of poems created in Nelson’s honor, reflecting his wide-ranging and interdisciplinary intellect; presents peer histories, providing a sense of the milieu that resulted from Nelson’s ideas; contains personal accounts revealing what it is like to collaborate directly with Nelson; describes Nelson’s legacy from the perspective of his contemporaries from the computing world; provides a contribution from Ted Nelson himself. With a broad appeal spanning computer scientists, science historians and the general reader, this inspiring collection reveals the continuing influence of the original visionary of the World Wide Web.

This textbook provides an introduction to the concept of sustainability in the context of transportation planning, management, and decision-making. The book is divided into two parts. In the first part, indicators and frameworks for measuring sustainable development in the transportation sector are developed. In the second, the authors analyze actual planning and decision-making in transportation agencies in a variety of governance settings. This analysis of real-world case studies demonstrates the benefits and limitations of current approaches to sustainable development in transportation. The book concludes with a discussion on how to make sustainability count in transportation decision-making and practice.

This timely book presents Applications in Recommender Systems which are making recommendations using machine learning algorithms trained via examples of content the user likes or dislikes. Recommender systems built on the assumption of availability of both positive and negative examples do not perform well when negative examples are rare. It is exactly this problem that the authors address in the monograph at hand. Specifically, the books approach is based on one-class classification methodologies that have been appearing in recent machine learning research. The blending of recommender systems and one-class classification provides a new very fertile field for research, innovation and development with potential applications in “big data� as well as “sparse data� problems. The book will be useful to researchers, practitioners and graduate students dealing with problems of extensive and complex data. It is intended for both the expert/researcher in the fields of Pattern Recognition, Machine Learning and Recommender Systems, as well as for the general reader in the fields of Applied and Computer Science who wishes to learn more about the emerging discipline of Recommender Systems and their applications. Finally, the book provides an extended list of bibliographic references which covers the relevant literature completely.

This volume collects recent advances in nonlinear delay systems, with an emphasis on constructive generalized Lyapunov and predictive approaches that certify stability properties. The book is written by experts in the field and includes two chapters by Miroslav Krstic, to whom this volume is dedicated.  This volume is suitable for all researchers in mathematics and engineering who deal with nonlinear delay control problems and students who would like to understand the current state of the art in the control of nonlinear delay systems.