All unsuccessful revolutions are the same, but each successful one is different in its own distinctive way. The reason why revolutions occur is that new forces attain increasing significance and classic institutions are incapable of accomodating these forces. Such has been the pattern of events in the English, American and French revolutions. These successful revolutions produced a new dynamic and new perspectives. One English revolutionary put this succinctly: "Let us be doing, but let us be united in doing". This book sets out what is a revolution in. the perspectives of diagnostic imaging of the kidney and urinary tract. Forces which have brought about this revolution are the advent of reliable techniques in radioisotope studies, ultrasonics and computerized tomographic (CT) scanning. This last modality carries with it specific problems for routine paediatric work and its role in the study of kidney and urinary tract problems is discrete and circumscribed. However, in conjunction with classic radiology, each of these techniques yields information of a different type and so a synthesis of data accrues.
The Software Licensing Handbook leads you through the twists and turns of the language found in almost all software, maintenance and professional services contracts. Plain English explanations of standard contract wording enables anyone to understand what you are reading, regardless of whether you are buying OR selling software. Additionally, sections on negotiation and contract management enable you to fully understand, appreciate and if necessary, implement a complete contracting process.
Introduction to Modeling and Simulation with MATLAB and Python is intended for students and professionals in science, social science, and engineering that wish to learn the principles of computer modeling, as well as basic programming skills. The book content focuses on meeting a set of basic modeling and simulation competencies that were developed as part of several National Science Foundation grants. Even though computer science students are much more expert programmers, they are not often given the opportunity to see how those skills are being applied to solve complex science and engineering problems and may also not be aware of the libraries used by scientists to create those models. The book interleaves chapters on modeling concepts and related exercises with programming concepts and exercises. The authors start with an introduction to modeling and its importance to current practices in the sciences and engineering. They introduce each of the programming environments and the syntax used to represent variables and compute mathematical equations and functions. As students gain more programming expertise, the authors return to modeling concepts, providing starting code for a variety of exercises where students add additional code to solve the problem and provide an analysis of the outcomes. In this way, the book builds both modeling and programming expertise with a "just-in-time" approach so that by the end of the book, students can take on relatively simple modeling example on their own. Each chapter is supplemented with references to additional reading, tutorials, and exercises that guide students to additional help and allows them to practice both their programming and analytical modeling skills. In addition, each of the programming related chapters is divided into two parts – one for MATLAB and one for Python. In these chapters, the authors also refer to additional online tutorials that students can use if they are having difficulty with any of the topics. The book culminates with a set of final project exercise suggestions that incorporate both the modeling and programming skills provided in the rest of the volume. Those projects could be undertaken by individuals or small groups of students. The companion website at http://www.intromodeling.com provides updates to instructions when there are substantial changes in software versions, as well as electronic copies of exercises and the related code. The website also offers a space where people can suggest additional projects they are willing to share as well as comments on the existing projects and exercises throughout the book. Solutions and lecture notes will also be available for qualifying instructors.
The purpose behind Computer Models in Environmental Planning is to provide a practical and applied guide to the use of these models in environmental planning and environmental impact analysis. Models concerning water quality, air quality, stormwater runoff, land capabil ity evaluationfland information systems, and hazardous waste dis posal are reviewed and critiqued. I have tried to emphasize the practical problems with data, computer capabilities, and other analyt ical questions that must be faced by the practitioner attempting to use these models. Thus, I do not delve too deeply into the theoretical underpinnings of the models, referring the reader instead to specialized references in this area. For each environmental area, I review the major models and methods, comparing their assumptions, ease of use, and other characteristics. Practical examples illustrate the benefits and problems of using each model. Computer models are increasingly being used by planning and engineering professionals for locating and planning public works, and industrial, commercial, and residential projects, while evaluating their environmental impacts. The requirements of the National Environ mental Policy Act and related state laws as well as separate state and federal laws concerning air and water quality, stormwater runoff, land use, and hazardous waste disposal have made the use of these methods mandatory in many circumstances. Yet, explanations of both the benefits and problems associated with supposedly easy-to-use com puter versions of these models and methods remain, at best, difficult to retrieve and, at worst, incomplete.
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