An exploration of the role of the news media in the development of EU-China relations after the end of the Cold War, this book provides empirical evidence to support what Nye and Anholt have argued: that branding a country's image is soft power. The author examines the nature of European Union and China coverage in Chinese and European news media respectively and explores how the economics, politics, and journalistic practice interplay in shaping the coverage. Based on this analysis, the author delves into the relationship between the news media and their foreign policy toward each other in terms of both the general direction of policy-making and the policy in a specific issue area. Including not only content analysis of media coverage, but also has first-hand interview materials with the officials involved in the decision-making process and the journalists involved in reporting the EU and China, the book sheds light on the way in which the media construct the post-Cold War world and therefore play a role in transforming international relations.

Bayesian Demographic Estimation and Forecasting presents three statistical frameworks for modern demographic estimation and forecasting. The frameworks draw on recent advances in statistical methodology to provide new tools for tackling challenges such as disaggregation, measurement error, missing data, and combining multiple data sources. The methods apply to single demographic series, or to entire demographic systems. The methods unify estimation and forecasting, and yield detailed measures of uncertainty. The book assumes minimal knowledge of statistics, and no previous knowledge of demography. The authors have developed a set of R packages implementing the methods. Data and code for all applications in the book are available on www.bdef-book.com. "This book will be welcome for the scientific community of forecasters...as it presents a new approach which has already given important results and which, in my opinion, will increase its importance in the future." ~Daniel Courgeau, Institut national d'etudes demographiques

Learn how radio access network (RAN) slicing allows 5G networks to adapt to a wide range of environments in this masterful resource Radio Access Network Slicing and Virtualization for 5G Vertical Industriesprovides readers with a comprehensive and authoritative examination of crucial topics in the field of radio access network (RAN) slicing. Learn from renowned experts as they detail how this technology supports and applies to various industrial sectors, including manufacturing, entertainment, public safety, public transport, healthcare, financial services, automotive, and energy utilities. Radio Access Network Slicing and Virtualization for 5G Vertical Industries explains how future wireless communication systems must be built to handle high degrees of heterogeneity, including different types of applications, device classes, physical environments, mobility levels, and carrier frequencies. The authors describe how RAN slicing can be utilized to adapt 5G technologies to such wide-ranging circumstances. The book covers a wide range of topics necessary to understand RAN slicing, including: Physical waveforms design Multiple service signals coexistence RAN slicing and virtualization Applications to 5G vertical industries in a variety of environments This book is perfect for telecom engineers and industry actors who wish to identify realistic and cost-effective concepts to support specific 5G verticals. It also belongs on the bookshelves of researchers, professors, doctoral, and postgraduate students who want to identify open issues and conduct further research.

An exploration of the role of the news media in the development of EU-China relations after the end of the Cold War, this book provides empirical evidence to support what Nye and Anholt have argued: that branding a country's image is soft power. The author examines the nature of European Union and China coverage in Chinese and European news media respectively and explores how the economics, politics, and journalistic practice interplay in shaping the coverage. Based on this analysis, the author delves into the relationship between the news media and their foreign policy toward each other in terms of both the general direction of policy-making and the policy in a specific issue area. Including not only content analysis of media coverage, but also has first-hand interview materials with the officials involved in the decision-making process and the journalists involved in reporting the EU and China, the book sheds light on the way in which the media construct the post-Cold War world and therefore play a role in transforming international relations.

The refereed proceedings of the 7th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2003, held in Aalborg, Denmark in July 2003.The 47 revised full papers presented together with 2 invited survey articles were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on foundations of uncertainty concepts, Bayesian networks, algorithms for uncertainty inference, learning, decision graphs, belief functions, fuzzy sets, possibility theory, default reasoning, belief revision and inconsistency handling, logics, and tools.

This book is to start a revolution for humankind to win the war against common cold. For individual readers, you now have a very effective method to free you from the common cold very quickly. It is the fact that common cold is caused by over 200 cold viruses. It has a long history of making virtually everyone to suffer from this most common disease. However, it is a simple disease. This book explains why common cold is a simple disease. It is cold viruses to cause this disease, and the problem is mainly in the nose. More precisely, it is the surface of the nasal cavity to have inflammatory reactions. For treating the common cold, doctors currently have no antiviral drugs. There is no vaccine to prevent the common cold. Individual patients must take some approaches to reduce the suffering from the common cold. This book presents the breakthrough medical study in the non-medical language so the general public will have an easy time to understand that the new therapy is very effective Its efficacy is much better than the current drugs, such as anti-inflammatory drugs. This non-drug method can be used to prevent common cold as well. Readers will learn how to use this simple method to be free from the cold. In the book, these different products in that category are compared, so the readers will have the information and an easy time to select the best tool to cure the common cold. This book helps you, the readers, to overcome the fear of cold viruses, and encourages you to take the responsibility to free you from the week long suffering. After you read this book, you will learn the simple procures and may be able to cure your own cold safely, easily, effectively, quickly, and economically within two days This book is to share a non-drug physical therapy. Physically removing viruses and inflammatory factors from your nasal cavities is the key to cure your cold. You may be able to go back to work or school next day if you follow the instructions. The author declared a war against the common cold on October 28, 2011. All members of human society will be united to fight and win this war. Thank you for actively fighting the war against the common cold.

Bayesian Demographic Estimation and Forecasting presents three statistical frameworks for modern demographic estimation and forecasting. The frameworks draw on recent advances in statistical methodology to provide new tools for tackling challenges such as disaggregation, measurement error, missing data, and combining multiple data sources. The methods apply to single demographic series, or to entire demographic systems. The methods unify estimation and forecasting, and yield detailed measures of uncertainty. The book assumes minimal knowledge of statistics, and no previous knowledge of demography. The authors have developed a set of R packages implementing the methods. Data and code for all applications in the book are available on www.bdef-book.com. "This book will be welcome for the scientific community of forecasters...as it presents a new approach which has already given important results and which, in my opinion, will increase its importance in the future." ~Daniel Courgeau, Institut national d'etudes demographiques

Visual attention is a relatively new area of study combining a number of disciplines: artificial neural networks, artificial intelligence, vision science and psychology. The aim is to build computational models similar to human vision in order to solve tough problems for many potential applications including object recognition, unmanned vehicle navigation, and image and video coding and processing. In this book, the authors provide an up to date and highly applied introduction to the topic of visual attention, aiding researchers in creating powerful computer vision systems. Areas covered include the significance of vision research, psychology and computer vision, existing computational visual attention models, and the authors' contributions on visual attention models, and applications in various image and video processing tasks. This book is geared for graduates students and researchers in neural networks, image processing, machine learning, computer vision, and other areas of biologically inspired model building and applications. The book can also be used by practicing engineers looking for techniques involving the application of image coding, video processing, machine vision and brain-like robots to real-world systems. Other students and researchers with interdisciplinary interests will also find this book appealing. * Provides a key knowledge boost to developers of image processing applications * Is unique in emphasizing the practical utility of attention mechanisms * Includes a number of real-world examples that readers can implement in their own work: * robot navigation and object selection * image and video quality assessment * image and video coding * Provides codes for users to apply in practical attentional models and mechanisms

Studienarbeit aus dem Jahr 2007 im Fachbereich BWL - Unternehmensforschung, Operations Research, Note: 1,3, Otto-von-Guericke-Universitat Magdeburg, Veranstaltung: Pricing and Yield-Management, 11 Quellen im Literaturverzeichnis, Sprache: Deutsch, Abstract: English: This Work gives a theoretical and practical overview about the price system of Deutsche Bahn Fernverkehr AG. Three models - Nesting, EMSR and Single-Leg - will be described and illustrated by many examples. Deutsch: Die Arbeit soll einen theoretischen als auch praktischen Uberblick uber das Preissystem der Deutschen Bahn Fernverkehr AG geben. Die drei Modelle - Nesting, EMSR und Single-Leg - werden hierzu beschrieben und mit Beispielen erlautert. Key-Words: Pricing, Yield-Management, Nesting, geschachtelte Kontingentierung, EMSR, Expected Marginal Seat Revenu, Single-Leg, Deutsche Bahn AG, Fernverkehr 1 Einleitung Die Deutsche Bahn AG steht als monopolistisches Staatsunternehmen im Schienenfernverkehr wie kein anderes im Blickpunkt der Offentlichkeit. Stetige Preisanderungen und eine kontinuierliche Berichterstattung in den Medien pragen ein umfassendes Bild des Unternehmens. Entscheidungen des Managements der Bahn werden regelmassig kritisch hinterfragt. Die vorliegende Arbeit soll diese Entscheidungen anhand dreier fundierter Modelle theoretisch vorstellen: Nesting-Modell, Single-Leg-Modell und Expected Marginal Seat Revenue Modell (EMSR). Im Anschluss werden diese Modelle sodann mit einem praktischen Bezug am Unternehmen ausfuhrlich erlautert. 3 Theoretische Grundlagen des Pricing- and Yield-Managements In diesem Abschnitt sollen die theoretischen Grundlagen erortert werden. Begonnen wird dabei mit den allgemeinen Voraussetzungen des Pricing- and Yield-Managements. Im Anschluss daran werden drei Modelle vorgestellt. Das Ziel des Gesamtkonzepts des Pricing- and Yield-Managements ist es, den Gesamtertrag bei gegebener Kapazitat zu maximieren. Die dafur geltenden Teilziele werden in Kapitel 3.