In the 21st century, intangible resources such as knowledge and social capital have become as necessary to the modern economy as coal, diamonds, and oil were to the past. This shift from product-focused to service-focused economies necessitates a drastic re-thinking of the ways in which we support the mission and business of economic development on a global, regional, and national scale. In order to effect and sustain a positive change, innovation and knowledge networks need to be connected to every aspect of life, from the private and domestic, to the corporate and the global. This book integrates a wide variety of perspectives and treatises on mutually adaptive and complementary processes of knowledge generation, diffusion, and transfer within organizations and industry, addressing both the "what" and "how to" questions of knowledge management in a conceptual as well as an applied manner. It should be of strong interest to science and technology policy makers, research and development managers, business decision makers, and students of innovation and knowledge dynamics alike.

This volume, like those prior to it, features chapters by experts in various fields of computational chemistry. Two chapters focus on molecular docking, one of which relates to drug discovery and cheminformatics and the other to proteomics. In addition, this volume contains tutorials on spin-orbit coupling and cellular automata modeling, as well as an extensive bibliography of computational chemistry books.

FROM REVIEWS OF THE SERIES "Reviews in Computational Chemistry remains the most valuable reference to methods and techniques in computational chemistry."—JOURNAL OF MOLECULAR GRAPHICS AND MODELLING

"One cannot generally do better than to try to find an appropriate article in the highly successful Reviews in Computational Chemistry. The basic philosophy of the editors seems to be to help the authors produce chapters that are complete, accurate, clear, and accessible to experimentalists (in particular) and other nonspecialists (in general)."—JOURNAL OF THE AMERICAN CHEMICAL SOCIETY

Incredibly useful, knowledge graphs help organizations keep track of medical research, cybersecurity threat intelligence, GDPR compliance, web user engagement, and much more. They do so by saving interlinked descriptions of entities (objects, events, situations, or abstract concepts) while encoding the semantics underlying the terminology. How do you create a knowledge graph? And how do you move it from theory into practice? Using hands-on examples, this practical book shows data scientists and data practitioners how to build their own custom knowledge graphs. Authors Jesus Barrasa and Jim Webber from Neo4j illustrate patterns commonly used for building knowledge graphs that solve many of today's pressing problems. You'll quickly discover how these graphs become exponentially more useful as you add more data. Learn the organizing principles necessary to build a knowledge graph Explore how graph databases serve as a foundation for knowledge graphs Understand how to import structured and unstructured data into your graph Follow examples to build integration-and-search knowledge graphs Understand what pattern detection knowledge graphs help you accomplish Explore dependency knowledge graphs through examples Use examples of natural language knowledge graphs and chatbots

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On-line analytical processing (OLAP) is clearly a new approach to information system technology--offering a much-needed way to make informed decisions better and faster. One of its most important characteristics is multidimensional analysis--analysis that goes beyond the conventional two-dimensional analysis and provides users with rapid retrieval of data from organizational databases, data warehouses, or both. Not only that, but most importantly, says Dr. Thierauf, it allows users to look at different dimensions of the same data, thus enabling them to do analyses across departmental and even corporate boundaries. How it works and OLAP's many benefits to aid users in the public and private sectors is spelled out here, comprehensively yet concisely, and with the author's customary well-developed examples and clear prose. His book will be important reading for people at all levels of management and in all types of organizations.

Another way of viewing OLAP is getting a typical company out of the custom-report-writing business and into the data-cube-server building business. An OLAP data structure can be thought of as a Rubik's Cube of data that users can twist and twirl in different ways to work through what-if and what-happened scenerios to get at the "whys" of the situation. Within an OLAP environment, the focus is on performing dictionary definition and maintenance as well as mapping flat files or relational columns to dimensions and measures. Although this may sound like a lot of work, managing one data cube is more efficient than writing a number of custom reports. Currently, some vendors provide administrative tools to get the data into the cubes in the first place, in the proper form, and on a regular basis. Hence, the job of managing data has been simplified for users.

An Introduction to Numerical Methods: A MATLAB® Approach, Fifth Edition continues to offer readers an accessible and practical introduction to numerical analysis. It presents a wide range of useful and important algorithms for scientific and engineering applications, using MATLAB to illustrate each numerical method with full details of the computed results so that the main steps are easily visualized and interpreted. This edition also includes new chapters on Approximation of Continuous Functions and Dealing with Large Sets of Data. Features: Covers the most common numerical methods encountered in science and engineering Illustrates the methods using MATLAB Ideal as an undergraduate textbook for numerical analysis Presents numerous examples and exercises, with selected answers provided at the back of the book Accompanied by downloadable MATLAB code hosted at https/www.routledge.com/ 9781032406824

Master the art and science of data storytelling--with frameworks and techniques to help you craft compelling stories with data. The ability to effectively communicate with data is no longer a luxury in today's economy; it is a necessity. Transforming data into visual communication is only one part of the picture. It is equally important to engage your audience with a narrative--to tell a story with the numbers. Effective Data Storytelling will teach you the essential skills necessary to communicate your insights through persuasive and memorable data stories. Narratives are more powerful than raw statistics, more enduring than pretty charts. When done correctly, data stories can influence decisions and drive change. Most other books focus only on data visualization while neglecting the powerful narrative and psychological aspects of telling stories with data. Author Brent Dykes shows you how to take the three central elements of data storytelling--data, narrative, and visuals--and combine them for maximum effectiveness. Taking a comprehensive look at all the elements of data storytelling, this unique book will enable you to: Transform your insights and data visualizations into appealing, impactful data stories Learn the fundamental elements of a data story and key audience drivers Understand the differences between how the brain processes facts and narrative Structure your findings as a data narrative, using a four-step storyboarding process Incorporate the seven essential principles of better visual storytelling into your work Avoid common data storytelling mistakes by learning from historical and modern examples Effective Data Storytelling: How to Drive Change with Data, Narrative and Visuals is a must-have resource for anyone who communicates regularly with data, including business professionals, analysts, marketers, salespeople, financial managers, and educators.

Problem solving in computing is referred to as computational thinking. The theory behind this concept is challenging in its technicalities, yet simple in its ideas. This book introduces the theory of computation from its inception to current form of complexity; from explanations of how the field of computer science was formed using classical ideas in mathematics by Goedel, to conceptualization of the Turing Machine, to its more recent innovations in quantum computation, hypercomputation, vague computing and natural computing. It describes the impact of these in relation to academia, business and wider society, providing a sound theoretical basis for its practical application.Written for accessibility, Demystifying Computation provides the basic knowledge needed for non-experts in the field, undergraduate computer scientists and students of information and communication technology and software development.

Problem solving in computing is referred to as computational thinking. The theory behind this concept is challenging in its technicalities, yet simple in its ideas. This book introduces the theory of computation from its inception to current form of complexity; from explanations of how the field of computer science was formed using classical ideas in mathematics by Goedel, to conceptualization of the Turing Machine, to its more recent innovations in quantum computation, hypercomputation, vague computing and natural computing. It describes the impact of these in relation to academia, business and wider society, providing a sound theoretical basis for its practical application.Written for accessibility, Demystifying Computation provides the basic knowledge needed for non-experts in the field, undergraduate computer scientists and students of information and communication technology and software development.

The sure way for design professionals to learn SketchUp modeling and rendering techniques

"Rendering In SketchUp" provides instructions for creating 3D photoreal graphics for SketchUp models using integrated rendering programs. The book serves as a beginner rendering manual and reference guide to further develop rendering skills. With an emphasis on step-by-step process, SketchUp users learn a universal approach to rendering varied SketchUp projects, including architecture, interiors, and site design models.

The book focuses on tasks and principles at the core of photorealistic rendering, including: Rendering process: Learn a step-by-step process focused on workflow within SketchUp's familiar workspace. Universal method: Understand how the process can be used to work with a variety of different integrated rendering programs, including Shaderlight, SU Podium and Twilight Render**. These programs are easy to learn and function in SketchUp. >Textures and materials: Discover how to obtain, apply and edit texture images representing surfaces. Component details: Learn how to acquire and organize model details to allow for rich, expressive settings while maintaining computer and SketchUp performance. Exterior and simulated lighting: Learn to set exterior lighting with the SketchUp's Shadow menu or illuminate a scene with simulated lights, lamps, and bulbs. Render settings: Use specific settings for various rendering programs to quickly set texture character, image quality, and graphic output. Computer specifications: Find out how computers produce renders and the type of computer hardware required to streamline the process. Photoshop post-processing: Learn how to further refine rendered images in Photoshop. **Free online chapters: The book reviews specific settings for SketchUp and the rendering plug-in Shaderlight. Given the ever-changing nature of technology, free, online accompanying chapters detail settings for additional integrated rendering programs including SU Podium, Twilight Render, and more.

-Written by the authors of key spatial R packages -Makes spatial data analysis more robust -Integrates with the tidyverse and comparable approaches -Includes many easily reproducible examples

It is widely recognized that internet technology has had a profound effect on political participation in China, but this new use of technology is not unprecedented in Chinese history. This is a pioneering work that systematically describes and analyzes the manner in which the Chinese used telegraphy during the late Qing, and the internet in the contemporary period, to participate in politics. Drawing upon insights from the fields of anthropology, history, political science, and media studies, this book historicizes the internet in China and may change the direction of the emergent field of Chinese internet studies. In contrast to previous works, this book is unprecedented in its perspective, in the depth of information and understanding, in the conclusions it reaches, and in its methodology. Written in a clear and engaging style, this book is accessible to a broad audience.

The go-to guide in machine learning projects from design to production. No ML skills required! In Managing Machine Learning Projects, you will learn essential machine learning project management techniques, including: Understanding an ML project's requirements Setting up the infrastructure for the project and resourcing a team Working with clients and other stakeholders Dealing with data resources and bringing them into the project for use Handling the lifecycle of models in the project Managing the application of ML algorithms Evaluating the performance of algorithms and models Making decisions about which models to adopt for delivery Taking models through development and testing Integrating models with production systems to create effective applications Steps and behaviours for managing the ethical implications of ML technology About the technology Companies of all shapes, sizes, and industries are investing in machine learning (ML). Unfortunately, around 85% of all ML projects fail. Managing machine learning projects requires adopting a different approach than you would take with standard software projects. You need to account for large and diverse data resources, evaluate and track multiple separate models, and handle the unforeseeable risk of poor performance. Never fear — this book lays out the unique practices you will need to ensure your projects succeed!

1. This book is useful and accessible background reading for those engaged in organized crime and cybercrime. It is written with the general reader in mind, so will be of interest to students and intelligent readers alike. 2. The book draws on a range of case studies from around the world, looking at Italian Mafias, Russian and Georgian criminal groups and drug cartels, and the Asian gangs such as the Yakuza and the Triads.

A very concise guide to a popular programming language, so there is a healthy demand for content which teaches who to utilize JavaScript. The book's broad coverage (paired with being compact) makes it more appealing than competitor's books currently on the market. Compared to online material, it has the benefit of material being presented in one coherent sequence. Author utilizes many years of teaching experience to communicate an effective way for teaching JavaScript quickly.

"Business Driven Information Technology has the right formula to reveal what it takes to make information technology succeed in an organization. The innovative question-and-answer format provides business professionals and students access to a wide range of critical issues that are important in every enterprise, regardless of scale. The real-world experience of its contributing authors lends great credibility and value to the answers in the book and makes Business Driven Information Technology a highly relevant tool for managing technology in today's shifting market conditions." --Bob Dutkowsky, Chairman, President, & CEO, J.D. Edwards
"This book offers a unique opportunity to see the critical factors of information systems success in numerous organizations from the combined perspectives of business leaders and researchers. From their responses to well chosen and incisive questions emerges a finely textured understanding of e-business, technology-enabled process design, resource allocation, system implementation, and the strategic aspects of information technology. The reader will benefit greatly from the well-presented wealth of experience." --Vladimir Zwass, Distinguished Professor of Computer Science and MIS, Fairleigh Dickinson University

How populism is fueled by the demise of the industrial order and the emergence of a new digital society ruled by algorithms In the revolutionary excitement of the 1960s, young people around the world called for a radical shift away from the old industrial order, imagining a future of technological liberation and unfettered prosperity. Industrial society did collapse, and a digital economy has risen to take its place, yet many have been left feeling marginalized and deprived of the possibility of a better life. The Inglorious Years explores the many ways we have been let down by the rising tide of technology, showing how our new interconnectivity is not fulfilling its promise. In this revelatory book, economist Daniel Cohen describes how today's postindustrial society is transforming us all into sequences of data that can be manipulated by algorithms from anywhere on the planet. As yesterday's assembly line was replaced by working online, the leftist protests of the 1960s have given way to angry protests by the populist right. Cohen demonstrates how the digital economy creates the same mix of promises and disappointments as the old industrial order, and how it revives questions about society that are as relevant to us today as they were to the ancients. Brilliant and provocative, The Inglorious Years discusses what the new digital society holds in store for us, and reveals how can we once again regain control of our lives.

This book offers a concise and up-to-date introduction to the popular field of quantum information. It has originated in a series of invited lecture courses at various universities in different countries. This is reflected in its informal style of exposition and presentation of key results in the subject. In addition to treating quantum communication, entanglement and algorithms in great depth, this book also addresses a number of interesting miscellaneous topics, such as Maxwell's demon, Landauer's erasure, the Bekenstein bound and Caratheodory's treatment of the Second law of thermodyanmics. All mathematical derivations are based on clear physical pictures which make even the most involved results - such as the Holevo bound - look comprehensible and transparent. The book is ideal as a first introduction to the subject, but may also appeal to the specialist due to its unique presentation.