伊恩．麥克哈格以《道法自然》（Design with Nature）一書而聞名，該書開創生態規劃的思想，強調人與自然環境之間的和諧共生關係，並提出生態景觀設計與永續環境規畫的重要方法，引發公眾對環境議題的深度關注，是20世紀最有影響力的環境規劃師和景觀設計師之一。2019年是《道法自然》出版50周年，弗雷德里克，斯坦納等世界各國深受麥克哈格思想影響的專家學者共同合作，編著了《道法自然進行式》（Design with Nature Now）一書，目的除了紀念麥克哈格以及他偉大的思想，更重要的是探討過去50年的道法自然理念發展，以及如今這個時代所面臨的問題以及應對的永續設計方向。
With three billion more humans projected to be living in cities by 2050, all design is increasingly urban design. And with as much data now produced every day as was produced in all of human history t
The complexity of AC motor control lies in the multivariable and nonlinear nature of AC machine dynamics. Recent advancements in control theory now make it possible to deal with long-standing problems
The most dynamic, comprehensive, and student-friendly text on the nature of microorganisms and the fascinating processes they employ in producing infections diseaseA Doody’s Core Title for 2022For more than a quarter-of-a-century, this renowned text has helped readers develop a solid grasp of the significance of etiologic agents, the pathogenic processes, epidemiology, and the basis of therapy for infectious diseases. Now, with a NEW four-color design, the book is shorter and more assessable for students! Outstanding pedagogical elements are carried throughout this edition including:Over 400 outstanding images with hundreds of tables and illustrationsDetailed legends under the art so the reader can better understand what’s occurring within the illustration, without having to flip back to the textClinical Cases with USMLE Style QuestionsMargin Notes identifying the “high-yield” must know content in each chapterBulleted Summaries that conclude each chapterSherris & Ryan's Medical Mic
Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Now you can create your own genetic algorithms, nature-inspired swarms, Monte Carlo simulations, cellular automata, and clusters. Learn how to test your ML code and dive into even more advanced topics. If you are a beginner-to-intermediate programmer keen to understand machine learning, this book is for you.Discover machine learning algorithms using a handful of self-contained recipes. Build a repertoire of algorithms, discovering terms and approaches that apply generally. Bake intelligence into your algorithms, guiding them to discover good solutions to problems.In this book, you will:Use heuristics and design fitness functions.Build genetic algorithms.Make nature-inspired swarms with ants, bees and particles.Create Monte Carlo simulations.Investigate cellular automata.Find minima and maxima, using hill climbing and simulated annealing.Try selection methods,
First published in 1982, this book describes a new kind of prison architecture that developed in the late eighteenth and early nineteenth centuries. The book concentrates on architecture, but places it in the context of contemporary penal practice and contemporary thought. Beginning with an exploration on the eighteenth-century prisons before reform, the book goes on to consider two earlier kinds of imprisonment that were modified by eighteenth-century reformers. The theory and practice of prison design is covered in detail. The later parts of the book deals with alliance between architecture and reform, and with the connection between the utilitarian architecture of the reformed prisons and academic neo-classicism. The overall aim of the book is to show the profound change that was being wrought in the nature of architecture, which was exemplified in the reformed prisons. Architecture, one emblem of the social order, was now one of its fundamental instruments.
