The Diagram as Paradigm explores medieval diagrams in Byzantium, the Islamicate world, and the Latin West. Case studies consider the theoretical dimensions of diagramming in historical disciplines ranging from philosophy to cosmology. Four introductory essays provide overviews of diagrammatic traditions of the regions explored in this volume.

This book is written for students and developers whowish to master the essential skills and techniques in applying the UML forsoftware development. The reader will learn object-oriented analysis, design andimplementation using appropriate UML models, process, techniques and tool.Accompanying the book is the Community Edition of Visual Pradigm for UML (VP-UML),an award-winning CASE tool, which allows the reader to put the theories learnedinto practice immediately.The authors propose a novel framework for modeling and analysis called the ViewAlignment Techniques (VAT) that helps software developers create developmentmethods. The Activity Analysis Approach (A3), which is particularlysuited for the development of interaction-intensive systems, is described. Theseconcepts have been well proven, as they were followed closely in the developmentof the VP-UML CASE tool.Three chapters in this book describe structural, use case and dynamic modelingand analysis techniques, together with practical tricks and tips that have beengained by the authors from many years of experience. Each of these threechapters includes a mini-case study which illustrates the unique "fromdiagram to code" concept in software development. In the final chapter, amajor case study is included to help the reader reinforce the theories learnedin previous chapters using VP-UML.The key areas in object-oriented technology covered in the book include:Requirements modeling using cases:Identifying, capturing and elaborating requirements.Domain analysis for object identification:Building structural models for objects and their attributes andrelationships.Dynamic analysis and design: Building dynamicmodels, refining structural models and making design decisions.Implementation: Translating UML models intocodes and implementations.Method creation and the framework of ViewAlignment Techniques: Choosing the right UML models and customizing theanalysis and design process.A case study: Showing how the ActivityAnalysis Approach is put into practice, using VP-UML.Additional material can be found at http://www.mcgraw-hill.com.sg/olc/tsang.Instructors will benefit from useful tools such as PowerPoint slides (passwordprotected) and answers to exercises (password protected), while students canobtain source code and additional exercises and test questions.Visual Paradigm for UML, the CASE tool used extensively in this book, washonored in the 15th Annual Software Development Magazine Jolt Productivity Awardin the Design and Analysis Tools category in March 2004. It has also recentlywon two more accolades: Oracle JDeveloper Extensions Developer of the Year 2004and Hong Kong Computer Society 6th IT Excellence Silver Award 2004. TheCommunity Edition of this CASE tool is included in this book to enable thereader to use its powerful and easy-to-use features for system modeling,analysis and implementation.

Have you ever wondered how we know what we know? The Pattern Paradigm looks beneath the surface of what passes for truth and presents a new way of understanding. It tells the story of how knowledge is achieved; starting from the basics and progressing to the pyramid of patterns which lie at the heart of thinking. It describes how the pattern paradigm is superior to the status quo paradigm that pervades much of philosophy today. It is able to do this because it is a paradigm of great simplicity and great power. It opens up a new and more accurate way of understanding. It provides the missing link between sense-data and knowledge. It provides new insights into old problems which are not only amazing but also robust and self consistent. It is a book for both keen philosophers and for anyone else interested in philosophy, as it is easy to read and written in layman’s terms. If you only ever read one book on philosophy, make it this one. ‘This is a work of genius.’- J. E. Shearer.

A critical look at the making of Manhattan and Venice provides a background to addressing the dynamic redefinition and making of space today. The book concerns architecture and the city, built, imagined and narrated, but, importantly, considers architecture as an intellectual and spatial process rather than a product.

This book constitutes the refereed proceedings of the 14th International Conference on the Theory and Application of Diagrams, Diagrams 2024, held in Münster, Germany, during September 27–October 1, 2024. The 17 full papers, 19 short papers and 11 papers of other types included in this book were carefully reviewed and selected from 69 submissions. They were organized in topical sections as follows: Keynote Talks; Analysis of Diagrams; Euler and Venn Diagrams; Diagrams in Logic; Diagrams and Applications; Diagram Tools; Historical Aspects of Diagrams; and Posters.

This book examines stem change in verb paradigms, as in English go 'go.PRESENT' vs. went 'go.PAST', a phenomenon referred to as suppletion in current linguistic theory. The work is based on a broad sample of 193 languages, and examines this long neglected phenomenon from a typological perspective. In addition to identifying types of suppletion which occur cross-linguistically, the study brings to light areal patterns of the occurrence of suppletive forms in verb paradigms. Several hypotheses as regards the diachronic development of suppletive forms are presented as well. The author also seeks to explore the methodological issues of evaluating the frequency of linguistic features in large language samples by introducing a method of weighting languages according to their genetic relatedness. All figures obtained in this way are compared to the proportions yielded by more familiar counting methods, and the results and implications of the different procedures are compared and discussed throughout.

Reprint of the original, first published in 1875.

The church is in disarray. Theologians and commentators speak of the demise of evangelicalism. Are they alarmists? Is Christianity as we know it in the process of dying? Writer, scholar, teacher, and missionary Dr. David Alan Black thinks that the answer does not lie in the politics of the left or the right. In fact, he doesn't think that Jesus tells us what our politics should be. He doesn't see answers in Christian nationalism. But even further, he sees serious flaws in the very structure of our churches and denominations that prevent us from truly being obedient to the gospel. The solution lies, not in renewal, revival, or even in reformation, but rather in restoration-a restoration of the church organized as Jesus intended it and according to the example provided by the earliest church sources in the New Testament. To make the church and its members true servants of Jesus Christ again, we need to change our entire paradigm-to The Jesus Paradigm.

Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning.