In this book, Alessandro Sebastiani examines how architecture and urbanism can be used to construct national identity. Using Rome as his case study, he explores how the city was transformed to accommodate different political ideologies in the period from 1870 to the end of World War II. After unification, Rome's classical architecture served as a reference point, guiding transformations of the urban fabric that met contemporary needs but also supported the agenda of the newly-formed Italian state. The advent of fascist state in the 1920s ushered in a different order of ideological placemaking. The monuments of ancient Roman were isolated in order to enhance their structural elegance, a scheme that powerfully conveyed political messages in support of Mussolini's regime. Sebastiani's volume offers a new approach to understanding the sophisticated relationships between archeology, urban planning, and politics within the city of Rome. Moreover, it highlights the consequences of suppressing historical evidence from monuments and archaeological sites.
In this book, Alessandro Sebastiani examines how architecture and urbanism can be used to construct national identity. Using Rome as his case study, he explores how the city was transformed to accommodate different political ideologies in the period from 1870 to the end of World War II. After unification, Rome's classical architecture served as a reference point, guiding transformations of the urban fabric that met contemporary needs but also supported the agenda of the newly-formed Italian state. The advent of fascist state in the 1920s ushered in a different order of ideological placemaking. The monuments of ancient Roman were isolated in order to enhance their structural elegance, a scheme that powerfully conveyed political messages in support of Mussolini's regime. Sebastiani's volume offers a new approach to understanding the sophisticated relationships between archeology, urban planning, and politics within the city of Rome. Moreover, it highlights the consequences of suppressing historical evidence from monuments and archaeological sites.
The Wealth of Ideas, first published in 2005, traces the history of economic thought, from its prehistory (the Bible, Classical antiquity) to the present day. In this eloquently written, scientifically rigorous and well documented book, chapters on William Petty, Adam Smith, David Ricardo, Karl Marx, William Stanley Jevons, Carl Menger, Léon Walras, Alfred Marshall, John Maynard Keynes, Joseph Schumpeter and Piero Sraffa alternate with chapters on other important figures and on debates of the period. Economic thought is seen as developing between two opposite poles: a subjective one, based on the ideas of scarcity and utility, and an objective one based on the notions of physical costs and surplus. Professor Roncaglia focuses on the different views of the economy and society and on their evolution over time and critically evaluates the foundations of the scarcity-utility approach in comparison with the Classical/Keynesian approach.
This open access book provides an introduction and an overview of learning to quantify (a.k.a. “quantification”), i.e. the task of training estimators of class proportions in unlabeled data by means of supervised learning. In data science, learning to quantify is a task of its own related to classification yet different from it, since estimating class proportions by simply classifying all data and counting the labels assigned by the classifier is known to often return inaccurate (“biased”) class proportion estimates. The book introduces learning to quantify by looking at the supervised learning methods that can be used to perform it, at the evaluation measures and evaluation protocols that should be used for evaluating the quality of the returned predictions, at the numerous fields of human activity in which the use of quantification techniques may provide improved results with respect to the naive use of classification techniques, and at advanced topics in quantification research. The book is suitable to researchers, data scientists, or PhD students, who want to come up to speed with the state of the art in learning to quantify, but also to researchers wishing to apply data science technologies to fields of human activity (e.g., the social sciences, political science, epidemiology, market research) which focus on aggregate (“macro”) data rather than on individual (“micro”) data.
This book is a revised version of the PhD dissertation written by the author at the Free University of Bozen-Bolzano in Italy. It presents a new approach to safety verification of a particular class of infinite-state systems, called Data-Aware Processes (DAPs). To do so, the developed technical machinery requires to devise novel results for uniform interpolation and its combination in the context of automated reasoning. These results are then applied to the analysis of concrete business processes enriched with real data. In 2022, the PhD dissertation won the “BPM Dissertation Award”, granted to outstanding PhD theses in the field of Business Process Management.
Global history locates national histories in the context of broader processes, in which the West is not necessarily synonymous with progress. And yet it often suffers from the same Eurocentrism that plagues national history, accepting Western categories and values uncritically and largely ignoring non-English historiographies. Alessandro Stanziani examines these tensions and asks what global history is and ought to be. Drawing upon a wide array of sources, he historicizes global history writing from the sixteenth century onward, tracing the forces of revolution, globalization, totalitarianism, colonization, decolonization and the Cold War. By considering global history in the context of a longue durée, multipolar perspective, this book assesses the strengths and limits of the field, and clarifies what is at stake.
Clearly written, this incisive critical study opens a new analytic window not only to the rhetoric of medieval Italian poetry but also to a richer understanding of one of the most important strands of medieval European culture.
With the proliferation of huge amounts of (heterogeneous) data on the Web, the importance of information retrieval (IR) has grown considerably over the last few years. Big players in the computer industry, such as Google, Microsoft and Yahoo!, are the primary contributors of technology for fast access to Web-based information; and searching capabilities are now integrated into most information systems, ranging from business management software and customer relationship systems to social networks and mobile phone applications. Ceri and his co-authors aim at taking their readers from the foundations of modern information retrieval to the most advanced challenges of Web IR. To this end, their book is divided into three parts. The first part addresses the principles of IR and provides a systematic and compact description of basic information retrieval techniques (including binary, vector space and probabilistic models as well as natural language search processing) before focusing on its application to the Web. Part two addresses the foundational aspects of Web IR by discussing the general architecture of search engines (with a focus on the crawling and indexing processes), describing link analysis methods (specifically Page Rank and HITS), addressing recommendation and diversification, and finally presenting advertising in search (the main source of revenues for search engines). The third and final part describes advanced aspects of Web search, each chapter providing a self-contained, up-to-date survey on current Web research directions. Topics in this part include meta-search and multi-domain search, semantic search, search in the context of multimedia data, and crowd search. The book is ideally suited to courses on information retrieval, as it covers all Web-independent foundational aspects. Its presentation is self-contained and does not require prior background knowledge. It can also be used in the context of classic courses on data management, allowing the instructor to cover both structured and unstructured data in various formats. Its classroom use is facilitated by a set of slides, which can be downloaded from www.search-computing.org.
Adaptive Designs for Sequential Treatment Allocation presents a rigorous theoretical treatment of the results and mathematical foundation of adaptive design theory. The book focuses on designing sequential randomized experiments to compare two or more treatments incorporating information accrued along the way. The authors first introduce the terminology and statistical models most commonly used in comparative experiments. They then illustrate biased coin and urn designs that only take into account past treatment allocations as well as designs that use past data, such as sequential maximum likelihood and various types of doubly adaptive designs. The book also covers multipurpose adaptive experiments involving utilitarian choices and ethical issues. It ends with adaptive methods that include covariates in the design. The appendices present basic tools of optimal design theory and address Bayesian adaptive designs. This book helps readers fully understand the theoretical properties behind various adaptive designs. Readers are then equipped to choose the best design for their experiment.
This book seeks to overcome the tension between 'western' and 'non-western' categories and tools in the study of global history, showing how most western approaches to the social sciences and history have developed through transnational and colonial interactions. Offering a transnational and global history of the main tools we have to understand the word and its transformations over the last three centuries, Tensions of Social History explores the construction of archives and historical memory, the making of statistics and their use in politics, the identification of social actors, and the emergence of key social theories. Providing key insights into how to write history and develop social sciences in the global era while avoiding eurocentrism and cultural exceptionalism, this ambitious book shows how global history is made of encounters rather than confrontations between civilizations.
Machine Learning: A Constraint-Based Approach, Second Edition provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that include neural networks and kernel machines. The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. It draws a path towards deep integration with machine learning that relies on the idea of adopting multivalued logic formalisms, such as in fuzzy systems. Special attention is given to deep learning, which nicely fits the constrained-based approach followed in this book.The book presents a simpler unified notion of regularization, which is strictly connected with the parsimony principle, including many solved exercises that are classified according to the Donald Knuth ranking of difficulty, which essentially consists of a mix of warm-up exercises that lead to deeper research problems. A software simulator is also included. - Presents, in a unified manner, fundamental machine learning concepts, such as neural networks and kernel machines - Provides in-depth coverage of unsupervised and semi-supervised learning, with new content in hot growth areas such as deep learning - Includes a software simulator for kernel machines and learning from constraints that also covers exercises to facilitate learning - Contains hundreds of solved examples and exercises chosen particularly for their progression of difficulty from simple to complex - Supported by a free, downloadable companion book designed to facilitate students' acquisition of experimental skills
The theme of conspiracy is central to Machiavelli's writing. His work offers observations and analysis of conspiracy as part of the armoury of the Renaissance politician. Surprisingly, the theme has not yet received the attention it merits. This volume corrects an interpretation which reduces Machiavelli's position to one of censorious observer of conspiracies. Quite to the contrary, as Campi demonstrates, Machiavelli developed an anatomy of conspiracy and provided a practical manual for coup d'état" and violent seizure of power.
A pioneering work in oral history, this book tells the story of the rise and fall of the industrial revolution and the apogee and crisis of the labor movement through an oral history of Terni, a steel town in Central Italy and the seat of the first large industrial enterprise in Italy. This story is told through a combination of stories, songs, myths and memories from over 200 voices of five generations, woven with a wealth of archival material.
This book provides a comprehensive foundation of distributional methods in computational modeling of meaning. It aims to build a common understanding of the theoretical and methodological foundations for students of computational linguistics, natural language processing, computer science, artificial intelligence, and cognitive science.
After the abolition of slavery in the Indian Ocean and Africa, the world of labor remained unequal, exploitative, and violent, straddling a fine line between freedom and unfreedom. This book explains why. Unseating the Atlantic paradigm of bondage and drawing from a rich array of colonial, estate, plantation and judicial archives, Alessandro Stanziani investigates the evolution of labor relationships on the Indian subcontinent, the Indian Ocean and Africa, with case studies on Assam, the Mascarene Islands and the French Congo. He finds surprising relationships between African and Indian abolition movements and European labor practices, inviting readers to think in terms of trans-oceanic connections rather than simple oppositions. Above all, he considers how the meaning and practices of freedom in the colonial world differed profoundly from those in the mainland. Arguing for a multi-centered view of imperial dynamics, Labor on the Fringes of Empire is a pioneering global history of nineteenth-century labor.
Return to training (RTT) and return to play (RTP) decisions making process in football are currently based on expert's opinion. However, there are no consensus guidelines on evidence-based decision-making. This book provides a framework for evidence-based decision-making both in RTT and RTP following lower-limb muscle injuries sustained in football. Based on the “Italian Consensus Conference (2019) on return-to-play after lower limb muscle injury in football”, it provides a list of RTT and RTP criteria after such injuries compiled by orthopedic surgeons, sports physicians, radiologists, rehabilitation physicians, sport physiologists, general surgeons, family physicians, physiotherapists, physical trainers and psychologists working in elite football in Italy. The book identifies the main criteria for RTT and RTP following injuries involving the most important muscle groups, i.e. quadriceps, hamstring, hip adductor, hip external rotator, iliopsoas and soleus-gastrocnemius. As such it is a valuable reference resource for practitioners making RTT and RTP decisions making process.
This book is an extensive, evidence-based, in-depth review of all aspects of the frequent oral potentially malignant disorder Oral Lichen Planus, from the complex pathogenesis and differential diagnosis to therapeutic management. It highlights the main discoveries and the limits of current knowledge in the epidemiology, pathogenesis and therapy of this oral disorder, projecting clinicians to the best possible therapeutic management and researchers to the main research fields potentially interesting for the understanding of etiopathogenesis and the establishment of a universally recognized diagnostic criteria. Detailed orientation is provided on oral lichen planus and on the main oral disorders clinically and histologically very similar to it. This work is aimed at clinicians, who are often faced with oral lesions that are not always easily diagnosed, and researchers who are interested in dentistry, oral medicine, and the partly mysterious disease Oral Lichen Planus.
This open access book provides an introduction and an overview of learning to quantify (a.k.a. “quantification”), i.e. the task of training estimators of class proportions in unlabeled data by means of supervised learning. In data science, learning to quantify is a task of its own related to classification yet different from it, since estimating class proportions by simply classifying all data and counting the labels assigned by the classifier is known to often return inaccurate (“biased”) class proportion estimates. The book introduces learning to quantify by looking at the supervised learning methods that can be used to perform it, at the evaluation measures and evaluation protocols that should be used for evaluating the quality of the returned predictions, at the numerous fields of human activity in which the use of quantification techniques may provide improved results with respect to the naive use of classification techniques, and at advanced topics in quantification research. The book is suitable to researchers, data scientists, or PhD students, who want to come up to speed with the state of the art in learning to quantify, but also to researchers wishing to apply data science technologies to fields of human activity (e.g., the social sciences, political science, epidemiology, market research) which focus on aggregate (“macro”) data rather than on individual (“micro”) data.
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