A collection of talks, workshops, lectures and conference pieces ... which were recorded at the time before being written by Fo's wife and collaborator Franca Rame (from introduction).
An extraordinary coming-of-age memoir by the Nobel-Prize-winning playwright My First Seven Years is Dario Fo's fantastic, enchanting memoir of his youth spent in Northern Italy on the shores of Lago Maggiore. As a child, Fo grew up in a picturesque village teeming with glass-blowers, smugglers and storytellers. Of his teenage years, Fo recounts the struggles of the Fascists and Partisans, the years of World War II, and his own tragicomic experience trying to desert the Fascist army. In a series of colorful vignettes, Fo draws us into a remarkable early life filled with characters and anecdotes that would become the inspiration for his own creative genius.
Winner of the Nobel Prize for Literature, Dario Fo is one of the world's most important contemporary playwrights, forging subversive wit and unusual linguistic experimentation into a comedy of complete originality. The Peasants' Bible is a collection of five monologues drawn from Italian folklore but filtered through Fo's delightfully singular lens-for example, an Adam and Eve who are passionately entwined like peas in a pod; a race between two classes of men struggling for power that resembles the legend of the Hare and the Tortoise-to form a Bible of the common man. In The Story of the Tiger, we find a Fourth Army soldier injured fighting Chiang Kai-shek's army, saved from starvation by being suckled by an enormous tiger, who then comes back to defeat Kai-shek by using model tigers in combat. Together the pieces are an extraordinary addition to Fo's body of work.
Winner of the 1997 Nobel Prize for Literature, Dario Fo is one of the world's most important contemporary playwrights, forging subversive comedy, clowning, unusual linguistic experimentation, and brilliant playwriting into a comedy of complete originality. In a first-person monologue that bends and mutates language and historical fact, Johan Padan and the Discovery of the Americas is a brilliant, vividly imagined retelling of Christopher Columbus's voyage to America. Told by a last-minute conscript assigned to clean the shipboard pig stalls, who goes on to be adopted by a tribe of Indians and help them fight conquistadors, it posits a riotous alternate history in which the dynamics between native and white, male and female, history and comedy are never what they seem.
Winner of the Nobel Prize for Literature In the words of his translator, Ron Jenkins: "The Nobel committee's decision to honor Fo as a master of literature is a historic tribute to the theatre, which is still viewed by many as literature's bastard child; it is also the first time that the Nobel for the literary arts has been awarded to an actor. This courageous and controversial choice indirectly expands the modern definition of literature to include the power of the spoken word." Volume One includes: We Won't Pay We Won't Pay Elizabeth Archangels Don't Play Pinball About Face
Lucrezia Borgia is one of the most vilified women in modern history. The daughter of a notorious pope, she was twice betrothed before the age of eleven and thrice married—one husband was forced to declare himself impotent and thereby unfit and another was murdered by Lucrezia’s own brother, Cesar Borgia. She is cast in the role of murderess, temptress, incestuous lover, loose woman, femme fatale par excellence. But there are two sides to every story. Lucrezia Borgia is the only woman in history to have serve as the head of the Catholic Church. She successfully administered several of Renaissance Italy’s most thriving cities, founded one of the world’s first credit unions, and was a generous patron of the arts. She was mother to a prince and to a cardinal. She was a devoted wife to the Prince of Ferrara, and the lover of the poet Pietro Bembo. She was a child of the renaissance and, in many ways, the world’s first modern woman. In this richly imagined novel, Nobel laureate Dario Fo reveals Lucrezia’s humanity, her passion for life, her compassion for others, and her skill at navigating around her family’s evildoings. The Borgias are unrivalled for the range and magnitude of their political machinations and opportunism. Fo’s brilliance rests in his rendering their story as a shocking mirror image of the uses and abuses of power in our own time. Lucrezia herself becomes a model for how to survive and rise above those abuses. Part Wolf Hall, part House of Cards, The Pope's Daugther will appeal to readers of historical fiction and of contemporary fiction alike and will delight anyone fascinated by Renaissance Italy.
Research into polymer nanofibers has increased significantly over the last decade, prompting the need for a comprehensive monograph examining the subject as knowledge of their properties and potential applications has increased. Postgraduate students and researchers new to the field will benefit from the "from materials to applications" approach to the book, which examines the physio-chemical properties in detail, demonstrating how they can be exploited for a diverse range of applications, including the production of light and wound dressings. Techniques for the fabrication, notably electrospinning, are discussed at length. This book provides a unique and accessible source of information, summarising the last decade of the field and presenting an entry point for those entering the field and an inspiration to established workers. The author is currently the national coordinator for several research projects examining the applications of polymer nanofibers, alongside active international collaborations.
Damping Technologies for Tall Buildings provides practical advice on the selection, design, installation and testing of damping systems. Richly illustrated with images and schematics, this book presents expert commentary on different damping systems, giving readers a way to accurately compare between different device categories and gain and understand the advantages and disadvantages of each. In addition, the book covers their economical and sustainability implications. Case studies are included to provide a direct understanding on the possible applications of each device category. - Provides an expert guide on the selection and deployment of the various types of damping technologies - Drawn from extensive contributions from international experts and research projects that represent the current state-of-the-art and design in damping technologies - Includes 25+ real case studies collected with very detailed information on damping design, installation, testing and other building implications
Our Subjects and Objectives. This book is about algebraic and symbolic computation and numerical computing (with matrices and polynomials). It greatly extends the study of these topics presented in the celebrated books of the seventies, [AHU] and [BM] (these topics have been under-represented in [CLR], which is a highly successful extension and updating of [AHU] otherwise). Compared to [AHU] and [BM] our volume adds extensive material on parallel com putations with general matrices and polynomials, on the bit-complexity of arithmetic computations (including some recent techniques of data compres sion and the study of numerical approximation properties of polynomial and matrix algorithms), and on computations with Toeplitz matrices and other dense structured matrices. The latter subject should attract people working in numerous areas of application (in particular, coding, signal processing, control, algebraic computing and partial differential equations). The au thors' teaching experience at the Graduate Center of the City University of New York and at the University of Pisa suggests that the book may serve as a text for advanced graduate students in mathematics and computer science who have some knowledge of algorithm design and wish to enter the exciting area of algebraic and numerical computing. The potential readership may also include algorithm and software designers and researchers specializing in the design and analysis of algorithms, computational complexity, alge braic and symbolic computing, and numerical computation.
This book provides an accessible guide to using the rock physics-based forward modeling approach for mapping the subsurface, systematically linking rock properties to seismic amplitude. Providing practical workflows, the book shows how to methodically vary lithology, porosity, rock type, and pore fluids and reservoir geometry, calculate the corresponding elastic properties, and then generate synthetic seismic traces. These synthetic traces can then be compared to actual seismic traces from the field: a similar actual seismic response implies similar rock properties in the subsurface. The book catalogs various cases, including clastic sediments, carbonates, and time-lapse seismic monitoring, and discusses the effect of attenuation on seismic reflections. It shows how to build earth models (pseudo-wells) using deterministic and statistical approaches, and includes case studies based on real well data. A vital guide for researchers and petroleum geologists, in industry and academia, providing sample catalogs of synthetic seismic reflections from a variety of realistic reservoir models.
The time-frequency representations of the signals are a powerful tool for the analysis of non-stationary signals such as the biological ultrasound Doppler pulsed type. The measure of their instantaneous frequencies and of the amplitude of their spectral components, which corresponds to the measure of moving tissue velocity, can be performed using specific type of time-frequency representation such as the pseudo Wigner distribution that exhibits good properties and has been implemented in MATLAB-SIMULINK with optimized algorithms listed in the Appendix.
The aim of this text is to treat selected topics of the subject of contemporary cryptology, structured in five quite independent but related themes: Efficient distributed computation modulo a shared secret, multiparty computation, modern cryptography, provable security for public key schemes, and efficient and secure public-key cryptosystems.
A comprehensive introduction to new approaches in artificial intelligence and robotics that are inspired by self-organizing biological processes and structures. New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning. Traditionally, artificial intelligence has been concerned with reproducing the abilities of human brains; newer approaches take inspiration from a wider range of biological structures that that are capable of autonomous self-organization. Examples of these new approaches include evolutionary computation and evolutionary electronics, artificial neural networks, immune systems, biorobotics, and swarm intelligence—to mention only a few. This book offers a comprehensive introduction to the emerging field of biologically inspired artificial intelligence that can be used as an upper-level text or as a reference for researchers. Each chapter presents computational approaches inspired by a different biological system; each begins with background information about the biological system and then proceeds to develop computational models that make use of biological concepts. The chapters cover evolutionary computation and electronics; cellular systems; neural systems, including neuromorphic engineering; developmental systems; immune systems; behavioral systems—including several approaches to robotics, including behavior-based, bio-mimetic, epigenetic, and evolutionary robots; and collective systems, including swarm robotics as well as cooperative and competitive co-evolving systems. Chapters end with a concluding overview and suggested reading.
Focusing on special matrices and matrices which are in some sense `near’ to structured matrices, this volume covers a broad range of topics of current interest in numerical linear algebra. Exploitation of these less obvious structural properties can be of great importance in the design of efficient numerical methods, for example algorithms for matrices with low-rank block structure, matrices with decay, and structured tensor computations. Applications range from quantum chemistry to queuing theory. Structured matrices arise frequently in applications. Examples include banded and sparse matrices, Toeplitz-type matrices, and matrices with semi-separable or quasi-separable structure, as well as Hamiltonian and symplectic matrices. The associated literature is enormous, and many efficient algorithms have been developed for solving problems involving such matrices. The text arose from a C.I.M.E. course held in Cetraro (Italy) in June 2015 which aimed to present this fast growing field to young researchers, exploiting the expertise of five leading lecturers with different theoretical and application perspectives.
Although they may look like simple components, the motorbike fork plays a critical role in the overall dynamic behaviour of motorcycles. It must provide appropriate stiffness characteristics, damping capabilities and the lowest sliding friction values in order to guarantee as much performance, safety and comfort as possible to the rider. Front Motorbike Suspensions addresses the fundamental aspects of the structural design of a motorbike fork. Utilizing the authors' many years of experience in this industrial research topic, Motorbike Suspensions provides useful design rules and applied mechanical design theories to optimize the shape of motorbike suspension. Overall structural considerations are explored alongside specific aspects including how bolted and adhesively bonded joints design can be applied to these components. R&D designers in the motorcycle industry who would like to improve their knowledge about the structural design of motorbike suspension will find Motorbike Suspension a concise and coherent guide to this specific feature. Whereas, undergraduates and graduates in industrial engineering matters may use this as a case study for an interesting application of the theories learned from machine design courses.
Spending part of his free time of over twenty-five years, in search of further certificates and historical documents on his own Dynasty in historical archives, historical libraries, parishes and municipalities, unifying and spreading part of the considerable amount of collected notes, the author has drawn up this work whose purpose is to be a historical compendium of the birth and worldwide evolution of the noble and ancient Busi Dynasty.Far from being complete, it also aims at being a spur for younger generations in order not to forget that their future is possible thanks to their past.
Rem tene, verba sequentur (Gaius J. Victor, Rome VI century b.c.) The ultimate goal of this book is to bring the fundamental issues of information granularity, inference tools and problem solving procedures into a coherent, unified, and fully operational framework. The objective is to offer the reader a comprehensive, self-contained, and uniform exposure to the subject.The strategy is to isolate some fundamental bricks of Computational Intelligence in terms of key problems and methods, and discuss their implementation and underlying rationale within a well structured and rigorous conceptual framework as well as carefully related to various application facets. The main assumption is that a deep understanding of the key problems will allow the reader to compose into a meaningful mosaic the puzzle pieces represented by the immense varieties of approaches present in the literature and in the computational practice. All in all, the main approach advocated in the monograph consists of a sequence of steps offering solid conceptual fundamentals, presenting a carefully selected collection of design methodologies, discussing a wealth of development guidelines, and exemplifying them with a pertinent, accurately selected illustrative material.
The study of fluctuations in statistical physics has a long history, and a general theory is well established, connecting fluctuations to response properties of equilibrium systems. Remarkably, this framework fails as soon as some current is flowing across the system, driving it out of equilibrium. The presence of currents is quite common in nature and produces rich phenomena which are far from being included in a general framework. This thesis focuses on this general problem by studying different models such as granular materials and systems exhibiting anomalous diffusion and shows how the generalized response techniques can be successfully used to catch the relevant degrees of freedom that drive the systems out of equilibrium. This study paves the way to the use of the generalized fluctuation relations in an operative way, in order to extract information from a non-equilibrium system and to build the corresponding phenomenological theory.
This book proposes a semi-discrete version of the theory of Petitot and Citti-Sarti, leading to a left-invariant structure over the group SE(2,N), restricted to a finite number of rotations. This apparently very simple group is in fact quite atypical: it is maximally almost periodic, which leads to much simpler harmonic analysis compared to SE(2). Based upon this semi-discrete model, the authors improve on previous image-reconstruction algorithms and develop a pattern-recognition theory that also leads to very efficient algorithms in practice.
Seismic reservoir characterization aims to build 3-dimensional models of rock and fluid properties, including elastic and petrophysical variables, to describe and monitor the state of the subsurface for hydrocarbon exploration and production and for CO₂ sequestration. Rock physics modeling and seismic wave propagation theory provide a set of physical equations to predict the seismic response of subsurface rocks based on their elastic and petrophysical properties. However, the rock and fluid properties are generally unknown and surface geophysical measurements are often the only available data to constrain reservoir models far away from well control. Therefore, reservoir properties are generally estimated from geophysical data as a solution of an inverse problem, by combining rock physics and seismic models with inverse theory and geostatistical methods, in the context of the geological modeling of the subsurface. A probabilistic approach to the inverse problem provides the probability distribution of rock and fluid properties given the measured geophysical data and allows quantifying the uncertainty of the predicted results. The reservoir characterization problem includes both discrete properties, such as facies or rock types, and continuous properties, such as porosity, mineral volumes, fluid saturations, seismic velocities and density. Seismic Reservoir Modeling: Theory, Examples and Algorithms presents the main concepts and methods of seismic reservoir characterization. The book presents an overview of rock physics models that link the petrophysical properties to the elastic properties in porous rocks and a review of the most common geostatistical methods to interpolate and simulate multiple realizations of subsurface properties conditioned on a limited number of direct and indirect measurements based on spatial correlation models. The core of the book focuses on Bayesian inverse methods for the prediction of elastic petrophysical properties from seismic data using analytical and numerical statistical methods. The authors present basic and advanced methodologies of the current state of the art in seismic reservoir characterization and illustrate them through expository examples as well as real data applications to hydrocarbon reservoirs and CO₂ sequestration studies.
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