This book offers a radical new theoretical approach for the understanding of communication. The theory is operationalized by the application of certain computer programs, namely Soft Computing programs like cellular automata and artificial neural nets. In many examples the authors demonstrate how it is possible to model and analyze communicative processes, such as social combined with cognitive ones.
This book covers an interdisciplinary approach for understanding mathematical modeling by offering a collection of models, solved problems related to the models, the methodologies employed, and the results using projects and case studies with insight into the operation of substantial real-time systems. The book covers a broad scope in the areas of statistical science, probability, stochastic processes, fluid dynamics, supply chain, optimization, and applications. It discusses advanced topics and the latest research findings, uses an interdisciplinary approach for real-time systems, offers a platform for integrated research, and identifies the gaps in the field for further research. The book is for researchers, students, and teachers that share a goal of learning advanced topics and the latest research in mathematical modeling.
The origin of modern intensive care units (ICUs) has frequently been attributed to the widespread provision of mechanical ventilation within dedicated hospital areas during the 1952 Copenhagen polio epidemic. However, modern ICUs have developed to treat or monitor patients who have any severe, life-threatening disease or injury. These patients receive specialized care and vital organ assistance such as mechanical ventilation, cardiovascular support, or hemodialysis. ICU patients now typically occupy approximately 10% of inpatient acute care beds, yet the structure and organization of these ICUs can be quite different across hospitals. In The Organization of Critical Care: An Evidence-Based Approach to Improving Quality, leaders provide a concise, evidence-based review of ICU organizational factors that have been associated with improved patient (or other) outcomes. The topics covered are grouped according to four broad domains: (1) the organization, structure, and staffing of an ICU; (2) organizational approaches to improving quality of care in an ICU; (3) integrating ICU care with other healthcare provided within the hospital and across the broader healthcare system; and (4) international perspectives on critical care delivery. Each chapter summarizes a different aspect of ICU organization and targets individual clinicians and healthcare decision makers. A long overdue contribution to the field, The Organization of Critical Care: An Evidence-Based Approach to Improving Quality is an indispensable guide for all clinicians and health administrators concerned with achieving state-of-the-art outcomes for intensive care.
Enhancing Communication & Collaboration in Interdisciplinary Research, edited by Michael O'Rourke, Stephen Crowley, Sanford D. Eigenbrode, and J. D. Wulfhorst, is a volume of previously unpublished, state-of-the-art chapters on interdisciplinary communication and collaboration written by leading figures and promising junior scholars in the world of interdisciplinary research, education, and administration. Designed to inform both teaching and research, this innovative book covers the spectrum of interdisciplinary activity, offering a timely emphasis on collaborative interdisciplinary work. The book’s four main parts focus on theoretical perspectives, case studies, communication tools, and institutional perspectives, while a final chapter ties together the various strands that emerge in the book and defines trend-lines and future research questions for those conducting work on interdisciplinary communication.
Ten original essays examine the central themes of John Searle’s ontology of society. Written by an international team of philosophers and social scientists, the essays contribute to a deeper understanding of Searle’s work. Moreover, these essays open the door to new approaches to addressing fundamental questions about social phenomena. This book also features a new essay by Searle himself that summarizes and further develops his work.
This exciting collection of papers represents some of the finest communications research published over the last decade. To mark the 20th anniversary of the European Journal of Communication, a leading international journal, the editors have selected 21 papers, all of which make significant and valuable interventions in the field of media and communications. The volume is prefaced with an introduction by the editors and will be a central research text for scholars in this field.
By now, most academics have heard something about the new science of complexity. In a manner reminiscent of Einstein and the last hundred years of physics, complexity science has captured the public imagination. ® One can go to Amazon. com and purchase books on complexification (Casti 1994), emergence (Holland 1998), small worlds (Barabási 2003), the web of life (Capra 1996), fuzzy thinking (Kosko 1993), global c- plexity (Urry 2003) and the business of long-tails (Anderson 2006). Even television has incorporated the topics of complexity science. Crime shows ® ® such as 24 or CSI typically feature investigators using the latest advances in computational modeling to “simulate scenarios” or “data mine” all p- sible suspects—all of which is done before the crime takes place. The ® World Wide Web is another example. A simple search on Google. Com using the phrase “complexity science” gets close to a million hits! C- plexity science is ubiquitous. What most scholars do not realize, however, is the remarkable role sociologists are playing in this new science. C- sider the following examples. 0. 1 Sociologists in Complexity Science The first example comes from the new science of networks (Barabási 2003). By now, most readers are familiar with the phenomena known as six-degrees of separation—the idea that, because most large networks are comprised of a significant number of non-random weak-ties, the nodes (e. g. , people, companies, etc.
The operation of understanding is the fundamental methodical procedure of hermeneutics and is usually seen as contradiction to scientific explanation by the usage of mathematical models. Yet understanding is the basic way in which humans organize their everyday practice, namely by understanding other people and social situations. In this book the authors demonstrate how an integration of hermeneutical understanding and scientific explanation can be done via the construction of suited geometrical models with neural networks of processes of understanding. In this sense the authors develop some kind of mathematical hermeneutics. Connecting links for the integration of the two methodical poles are the developments of particular models of Artificial Intelligence (AI), which are able to perform certain tasks of understanding.
This text is one of the first comprehensive resources on understanding and working with families in the intensive care unit. The text provides a conceptual overview of the Family ICU Syndrome, a constellation of physical morbidity, psychopathology, cognitive deficits, and conflict. Outlining its mechanisms, the book presents a guide to combating the syndrome with an interdisciplinary team. The text represents the full array of the interdisciplinary team by also spotlighting administrative considerations for health care management and approaches to training different members of the health care team. Family voices are featured prominently in the text as well. The book also addresses the complete trajectory of needs of care, including survivorship and end-of-life care. Written by experts in the field, Families in the Intensive Care Unit: A Guide to Understanding, Engaging and Supporting at the Bedside is a state-of-the-art reference for all clinicians who work with families in the ICU.
This book is intended to help management and other interested parties such as engineers, to understand the state of the art when it comes to the intersection between AI and Industry 4.0 and get them to realise the huge possibilities which can be unleashed by the intersection of these two fields. We have heard a lot about Industry 4.0, but most of the time, it focuses mainly on automation. In this book, the authors are going a step further by exploring advanced applications of Artificial Intelligence (AI) techniques, ranging from the use of deep learning algorithms in order to make predictions, up to an implementation of a full-blown Digital Triplet system. The scope of the book is to showcase what is currently brewing in the labs with the hope of migrating these technologies towards the factory floors. Chairpersons and CEOs must read these papers if they want to stay at the forefront of the game, ahead of their competition, while also saving huge sums of money in the process.
