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Dynamic Radiology of the Abdomen
Extensively revised and updated, this classic text covers radiology of the abdomen as it relates to the progression of disease within an organ and from one organ to another. The book provides a systematic application of anatomic and dynamic principles to the practical understanding and diagnosis of intraabdominal disease, addressing the full range of imaging modalities, from plain films and conventional contrast studies to CT, US, MRI and endoscopic ultrasonography. Carefully selected, ample images -- including CT and MRI -- support the thoroughly descriptive text as do expanded references, citing both the classic and recent contributions, and a detailed cross-referenced index. For radiologists, general surgeons, gastroenterologists, and others seeking insight into the clinical practice of radiology, this text continues to be the gold standard in the field.
From Lying to Perjury
This volume provides new insights on lying and (intentionally) misleading in and out of the courtroom, a timely topic for scholarship and society. Not all deceptive statements are lies; not every lie under oath amounts to perjury—but what are the relevant criteria? Taxonomies of falsehood based on illocutionary force, utterance context and speakers’ intentions have been debated by linguists, moral philosophers, social psychologists and cognitive scientists. Legal scholars have examined the boundary between actual perjury and garden-variety lies. The fourteen previously unpublished essays in this book apply theoretical and empirical tools to delineate the landscape of falsehood, half-trut...
I the People
A rhetorical examination of the rise of populist conservatism
The Language of Stories
How do we read stories? How do they engage our minds and create meaning? Are they a mental construct, a linguistic one or a cultural one? What is the difference between real stories and fictional ones? This book addresses such questions by describing the conceptual and linguistic underpinnings of narrative interpretation. Barbara Dancygier discusses literary texts as linguistic artifacts, describing the processes which drive the emergence of literary meaning. If a text means something to someone, she argues, there have to be linguistic phenomena that make it possible. Drawing on blending theory and construction grammar, the book focuses its linguistic lens on the concepts of the narrator and the story, and defines narrative viewpoint in a new way. The examples come from a wide spectrum of texts, primarily novels and drama, by authors such as William Shakespeare, Margaret Atwood, Philip Roth, Dave Eggers, Jan Potocki and Mikhail Bulgakov.
The Pandemic of Argumentation
This open access book addresses communicative aspects of the current COVID-19 pandemic as well as the epidemic of misinformation from the perspective of argumentation theory. Argumentation theory is uniquely placed to understand and account for the challenges of public reason as expressed through argumentative discourse. The book thus focuses on the extent to which the forms, norms and functions of public argumentation have changed in the face of the COVID-19 pandemic. This question is investigated along the three main research lines of the COST Action project CA 17132: European network for Argumentation and Public PoLicY analysis (APPLY): descriptive, normative, and prescriptive. The volume...
Personalized Specialty Care
This book highlights the work of pioneers in this field, in order to inspire their peers, healthcare leaders and an interested audience. Prior to the respective care practices, the authors describe the core of personalized care and illustrate its connections to value-driven care and evidence-based medicine. The last part of the book addresses organizational and other conditions under which personalized care can thrive. In the Netherlands, substantial work is being done on value-driven care and more is currently being discussed. This book focuses on the benefits of value-driven care for patients and healthcare providers alike. To do so, it explores a range of representative cases and scenario...
Argumentation and Language — Linguistic, Cognitive and Discursive Explorations
This volume focuses on the role language plays at all levels of the argumentation process. It explores the effects that specific linguistic choices may have in the production and the reception of arguments and in doing so, it moves beyond the first, necessary, descriptive stance provided by current literature on the topic. Each chapter provides an original take illuminating one or more of the following three issues: the range of linguistic resources language users draw on as they argue; how cognitive processes of meaning construction may influence argumentative practices; and which discursive devices can be used to fulfil a number of argumentative goals. The volume includes theoretical and e...
Machine Learning and Knowledge Discovery in Databases
The three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2015, held in Porto, Portugal, in September 2015. The 131 papers presented in these proceedings were carefully reviewed and selected from a total of 483 submissions. These include 89 research papers, 11 industrial papers, 14 nectar papers, 17 demo papers. They were organized in topical sections named: classification, regression and supervised learning; clustering and unsupervised learning; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data; matrix and tensor analysis; pattern and sequence mining; preference learning and label ranking; probabilistic, statistical, and graphical approaches; rich data; and social and graphs. Part III is structured in industrial track, nectar track, and demo track.
Machine Learning and Knowledge Discovery in Databases
This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2010, held in Barcelona, Spain, in September 2010. The 120 revised full papers presented in three volumes, together with 12 demos (out of 24 submitted demos), were carefully reviewed and selected from 658 paper submissions. In addition, 7 ML and 7 DM papers were distinguished by the program chairs on the basis of their exceptional scientific quality and high impact on the field. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. A topic widely explored from both ML and DM perspectives was graphs, with motivations ranging from molecular chemistry to social networks.
