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Yuxin Yu

Yanqing Jiang

Understanding the Digital Revolution and Its Influences

&lt;p&gt;Chapter 1. Understanding the Evolution of Digital Economy.- Chapter 2. Digital Technology Iteration and Productivity Revolution.- Chapter 3. Basic Theory of Social Division of Labor.- Chapter 4. Evolution of the Social Division Mode of Digital Economy.- Chapter 5. The Reshaping Force of Digital Economy upon Social Division of Labor.- Chapter 6. Individual Economic Behavior Decision under the Digital Economy.- Chapter 7. Individual Economic Phenomenon of Digital Economy.- Chapter 8. Commercial Operation and Value Creation of Digital Economy.- Chapter 9. Evolution and Development of Enterprise Organizations in Digital Economy.- Chapter 10. Development Trend of Enterprise Organizations in the Digital Age.&lt;/p&gt;

Palgrave Studies in Public Debt, Spending, and Revenue

This book examines the interplay of professional norms and political accountability in the process of making decisions about whether, how, and how much debt state and local governments should incur. The careful analysis of accountability in actual decisions, focusing particularly on whether and how individual and collective decision-making behavior responds to general (stipulated) norms and situational (negotiated) expectations in their broader social contexts, is a familiar approach in the study of management and public organizations generally, but has not been extensively applied to this area of public financial decision making. Political economists, especially those identified with the public-choice approach, have done extensive macro-level normative and theoretical analysis of public debt, but not in an empirically rich fashion. This book therefore constitutes a missing link that uses analyses of selected cases to advance conceptual understandings of organizational accountability spaces in general, and decisions to incur public indebtedness and the implications of those decisions specifically, by examining the intersection of the macro, meso, and micro levels of expectations for and practices of public financial decision making.

Professionalism and Accountability in Public Finance Decision-Making

Debt Reckoning

The robot “concept” was clearly established by those many creative historical realizations, such as those recalled above. Nonetheless, the emergence of the “physical” robot had to await the advent of its underlying technologies of mechanics, controls, computers, electronics and sensors ―in one word, mechatronics― during the course of the twentieth century. As always, new designs motivate new research and discoveries which, in turn, lead to enhanced solutions and thus to novel concepts. This virtuous circle over time produced that knowledge and understanding which gave birth to the field of Robotics, properly referred to as the science and technology of robots.To make robots and intelligent machines useful to humans it is necessary to have a broad and tight intersection between Robotics and AI. Sophisticated mathematical models are needed that enable the robot from a physical point of view, as well as intelligent algorithms capable of correlating all the information coming from the use of technologically advanced sensors with the data available from experience. It is expected that the synergy of model-based techniques with data-driven approaches will contribute to increasing the level of autonomy of robots and intelligent machines in the near future.The first book of the Robotics Goes MOOC project starts with the journey of robotics in the introductory chapter by Khatib, who has pioneered our field of robotics and has ferried it to the third millennium. Sensing is crucial for the development of intelligent and autonomous robots, as covered in Chapter 2 by Nüchter et al. Model-based control is dealt with in Chapter 3 by Kröeger et al along with motion planning, as well as in Chapter 4 by Villani and Chapter 5 by Chaumette to handle force and visual feedback, respectively, when interacting with the environment. Resorting to AI techniques is the focus of the last part of the book, namely, Chapter 6 by Peters et al on Learning, Chapter 7 by Beetzet al on knowledge representation and reasoning, and Chapter 8 by Burgard et al on graph-based SLAM.&nbsp;The image on the cover metaphorically illustrates the&nbsp;knowledge&nbsp;paradigm of robotics through a hand trying to catch an apple.&nbsp;The content published here are linked to a series of MOOCs on Robotics specifically created and hosted by Federica Web Learning. You can access the related content via our app: download the SN More Media app for free, scan the link and access directly to the online courses on your smartphone or tablet.

The robot “concept” was clearly established by those many creative historical realizations, such as those recalled above. Nonetheless, the emergence of the “physical” robot had to await the advent of its underlying technologies of mechanics, controls, computers, electronics and sensors ―in one word, mechatronics― during the course of the twentieth century. As always, new designs motivate new research and discoveries which, in turn, lead to enhanced solutions and thus to novel concepts. This virtuous circle over time produced that&nbsp;knowledge&nbsp;and understanding which gave birth to the field of Robotics, properly referred to as the science and technology of robots.To make robots and intelligent machines useful to humans it is necessary to have a broad and tight intersection between Robotics and AI. Sophisticated mathematical models are needed that enable the robot from a physical point of view, as well as intelligent algorithms capable of correlating all the information coming from the use of technologically advanced sensors with the data available from experience. It is expected that the synergy of model-based techniques with data-driven approaches will contribute to increasing the level of autonomy of robots and intelligent machines in the near future.The first book of the Robotics Goes MOOC project starts with the journey of robotics in the introductory chapter by Khatib, who has pioneered our field of robotics and has ferried it to the third millennium. Sensing is crucial for the development of intelligent and autonomous robots, as covered in Chapter 2 by Nüchter et al. Model-based control is dealt with in Chapter 3 by Kröeger et al along with motion planning, as well as in Chapter 4 by Villani and Chapter 5 by Chaumette to handle force and visual feedback, respectively, when interacting with the environment. Resorting to AI techniques is the focus of the last part of the book, namely, Chapter 6 by Peters et al on Learning, Chapter 7 byBeetz et al on knowledge representation and reasoning, and Chapter 8 by Burgard et al on graph-based SLAM.

Knowledge

Robotics Goes MOOC

Behavioral and Social Science in Medicine: Principles and Practice of Biopsychosocial Care provides state of the art reviews of the critical topic areas in undergraduate medical education identified in the 2004 Institute of Medicine (IOM) report, "Improving Medical Education: Enhancing the Behavioral and Social Sciences Content of Medical School Curricula." The text is supplemented by web-enhanced learning materials including linked case studies, PDA materials, a study guide, and other online supplementary materials designed to actively engage learners while allowing for adaptations to learner and/or program needs. Although this text meets essential specific knowledge objectives in multiple domains, it emphasizes a core biopsychosocial approach across all content domains. The text focuses on helping learners develop the skills necessary to integrate complex interacting health-related variables across multiple frames of reference. The textbook addresses each of the six IOM domains: 1) Mind-body interactions in health and disease - focuses on the four primary pathways of disease (biological, behavioral, psychological, and social). Students need to recognize and understand the many complex interactions among these pathways that may be compromising a patient's physical and/or mental health. 2) Patient behavior - centers on behavioral pathways to promoting health and preventing disease. Educating medical students about behaviors that pose a risk to health will better equip them to provide appropriate interventions and influence patient behavior. 3) Physician role and behavior - emphasizes the physician's personal background and beliefs as they may affect patient care, as well as the physician's own well-being. 4) Physician-patient interactions - focuses on the ability to communicate effectively, which, as noted above, is a critical component of medical practice. 5) Social and cultural issues in health care - addresses what physicians need to know and do to provide appropriate care to patients with differing social, cultural, and economic backgrounds. 6) Health policy and economics - includes those topics to which medical students should be exposed to help them understand the health care system in which they will eventually practice. Currently, many medical educators are required to piece together readings and other teaching materials to satisfy the Liaison Committee on Medical Education (LCME) requirements for behavioral and social science content in medical education. This volume is designed to satisfy LCME content requirements with the latest evidence-based materials in the social and behavioral sciences.

Behavioral and Social Science in Medicine: Principles and Practice of Biopsychosocial Care provides state of the art reviews of the critical topic areas in undergraduate medical education identified in the 2004 Institute of Medicine (IOM) report, “Improving Medical Education: Enhancing the Behavioral and Social Sciences Content of Medical School Curricula.” The text is supplemented by web-enhanced learning materials including linked case studies, PDA materials, a study guide, and other online supplementary materials designed to actively engage learners while allowing for adaptations to learner and/or program needs.  Although this text meets essential specific knowledge objectives in multiple domains, it emphasizes a core biopsychosocial approach across all content domains. The text focuses on helping learners develop the skills necessary to integrate complex interacting health-related variables across multiple frames of reference. The textbook addresses each of the six IOM domains: 1) Mind-body interactions in health and disease – focuses on the four primary pathways of disease (biological, behavioral, psychological, and social). Students need to recognize and understand the many complex interactions among these pathways that may be compromising a patient’s physical and/or mental health. 2) Patient behavior – centers on behavioral pathways to promoting health and preventing disease. Educating medical students about behaviors that pose a risk to health will better equip them to provide appropriate interventions and influence patient behavior. 3) Physician role and behavior – emphasizes the physician’s personal background and beliefs as they may affect patient care, as well as the physician’s own well-being. 4) Physician-patient interactions – focuses on the ability to communicate effectively, which, as noted above, is a critical component of medical practice. 5) Social and cultural issues in health care – addresses what physicians need to know and do to provide appropriate care to patients with differing social, cultural, and economic backgrounds. 6) Health policy and economics – includes those topics to which medical students should be exposed to help them understand the health care system in which they will eventually practice. Currently, many medical educators are required to piece together readings and other teaching materials to satisfy the Liaison Committee on Medical Education (LCME) requirements for behavioral and social science content in medical education. This volume is designed to satisfy LCME content requirements with the latest evidence-based materials in the social and behavioral sciences.

Principles and Practice of Biopsychosocial Care

Behavioral and Social Science in Medicine

Written from a Computational Topology point-of-view the intention of this book is to provide the reader with an easy and up-to-date access to a wide range of topics concerning topological, combinatorial, and geometric aspects of triangulated manifolds.As a compendium of many classical results, complemented with new material, the book is equipped with an extensive bibliography.&nbsp;An atlas of small triangulations is also included.The list of topics comprises: classification results, PL structures and Hauptvermutung, recognition techniques, computation of invariants, explicit constructions of examples, enumeration procedures, f-vectors of triangulations, vertex-minimal, vertex-transitive, and centrally symmetric examples, realizability issues, polytopality and tightness of triangulations.

Triangulated Manifolds

Springer Theses

This study enhances microbial and chemical catalyses in bioelectrochemical systems (BESs) by designing and manufacturing new materials, elucidating the catalytic mechanisms, and applying them in wastewater treatment.As a novel environmental biotechnology, BESs can be used for treating wastewater and generating power, producing value-added products, and detoxifying contaminants. However, the catalytic efficiency of the electrode reaction is low these systems.&nbsp;

Enhanced Microbial and Chemical Catalysis in Bio-electrochemical Systems

Advances in Science, Technology & Innovation

Management of Digital Technologies in the Innovative Economy

Contributions to Finance and Accounting

This book discusses the evolution of technical features in decentralized finance and focuses on machine-learning finance in emerging economies. As technological advancement evolves at an unpredictable pace, the financial industry, like every other sector, must adapt accordingly.. Furthermore, the rapid expansion of diverse financial products and services is creating new applications and markets. Alongside technological progress, the exploration of complex patterns in vast amounts of data, known as big data, is facilitated by its commonly acknowledged characteristics: volume, variety, veracity, value, and velocity.Overall, machine learning has become crucial in the financial industry, allowing businesses to automate operations, gain insights from data, and make more informed decisions in real time. This edited book&nbsp;covers algorithmic trading, risk management, fraud detection, customer service and personalization, portfolio management, credit scoring, sentiment analysis, and algorithmic pricing. The book connects theoretical concepts with practical real-world applications, benefiting professionals looking to enhance their proficiency in using these methods efficiently. It offers insightful guidance for theorists, market participants, and policymakers by exploring financial theories and practices in light of contemporary machine-learning approaches, with a special emphasis on emerging economies.

This book discusses the evolution of technical features in decentralized finance and focuses on machine-learning finance in emerging economies. As technological advancement evolves at an unpredictable pace, the financial industry, like every other sector, must adapt accordingly. Furthermore, the rapid expansion of diverse financial products and services is creating new applications and markets. Alongside technological progress, the exploration of complex patterns in vast amounts of data, known as big data, is facilitated by its commonly acknowledged characteristics: volume, variety, veracity, value, and velocity.Overall, machine learning has become crucial in the financial industry, allowing businesses to automate operations, gain insights from data, and make more informed decisions in real time. This edited book&nbsp;covers algorithmic trading, risk management, fraud detection, customer service and personalization, portfolio management, credit scoring, sentiment analysis, and algorithmic pricing. The book connects theoretical concepts with practical real-world applications, benefiting professionals looking to enhance their proficiency in using these methods efficiently. It offers insightful guidance for theorists, market participants, and policymakers by exploring financial theories and practices in light of contemporary machine-learning approaches, with a special emphasis on emerging economies.

Trends, Developments and Business Practices in the Financial Sector

Machine Learning in Finance

The redevelopment of London Docklands set a new standard for urban regeneration. City governments all over the world now aspire to the high-rise, high-gloss, high-cost ‘office-residential-retail’ formula (just add iconic casino/luxury hotel/state-of-the-art stadium) that passes for mixed use in the early 21st century. Waterfront cities are especially captured by this vision of the spectacular: the sparkling, once-in-a-lifetime break that will catapult that city onto the world stage. Most of these waterfronts are former docks, shipyards and city utilities, deindustrialised in the late 20th century, close to the old city centre, with very high potential value. They enter the current phase as public land or a mix of devalued private and public ownership, offering some of the best opportunities a state will ever have to plan and deliver what its people need. What is being made of these opportunities? Many cities are using public funds to support their private redevelopment into increasingly indistinguishable corporate and soulless landscapes. But not always. This book reveals the squandered opportunities in the rich cities of Australia, Canada and Germany, and their subsequent efforts to salvage this land in the public interest. It shows that urban development that is hostile to local people is not inevitable, and that there are ways of doing it better.

The redevelopment of London Docklands set a new standard for urban regeneration. City governments all over the world now aspire to the high-rise, high-gloss, high-cost ‘office-residential-retail’ formula (just add iconic casino/luxury hotel/state-of-the-art stadium) that passes for mixed use in the early 21st century. Waterfront cities are especially captured by this vision of the spectacular: the sparkling, once-in-a-lifetime break that will catapult that city onto the world stage. Most of these waterfronts are former docks, shipyards and city utilities, deindustrialised in the late 20th century, close to the old city centre, with very high potential value. They enter the current phase as public land or a mix of devalued private and public ownership, offering some of the best opportunities a state will ever have to plan and deliver what its people need. What is being made of these opportunities? Many cities are using public funds to support their private redevelopment into increasingly indistinguishable corporate and soulless landscapes. But not always. This book reveals the squandered opportunities in the rich cities of Australia, Canada and Germany, and their subsequent efforts to salvage this land in the public interest. It shows that urban development that is hostile to local people is not inevitable, and that there are ways of doing it better.

The Squander and Salvage of Global Urban Waterfronts

Evolutionary Economics and Social Complexity Science

This is the first book to present a new approach of institutional design as an evolutionary applied policy based on coherent conceptualization and methodology, and to study the actuality and implications of diversifying real/virtual community currencies. In contrast to a de facto standard theory, an institutional ecosystem can be composed of various institutions that continue to coexist with changing relative frequencies. In this view, diversified monetary institutions with local rules are feasible and realistic. Community currencies are worldwide attempts to redress such problems as financial instability, chronic stagnation, and decline of communities caused by globalization of the economy. Considering those alternative movements as a new type of policy, "evolutionist institutional design", this book clarifies the feasibility and significance of community currencies in the current era of globalization. The book also provides a better understanding than mainstream approaches of such platform institutions as money that determine fundamental means of cognition and action of interacting agents. Money is a symbolically generalized communication medium in the mesodomain that mediates between socioeconomic performance and patterns in the macrodomain and motives and cognitive frameworks in the microdomain. Conventional national systems of money and finance are platform institutions that determine basic replicators for a capitalistic market economy to evolve. In contrast, community currencies conveying both economic and social/cultural values are distinct platform institutions that are expected to endogenously change such basic replicators in outer and inner institutions for agents to a noncapitalistic market economy. These currencies are considered target institutions for "media design" in the framework of evolutionist institutional design.

This is the first book to present a new approach of institutional design as an evolutionary applied policy based on coherent conceptualization and methodology, and to study the actuality and implications of diversifying real/virtual community currencies. In contrast to a de facto standard theory, an institutional ecosystem can be composed of various institutions that continue to coexist with changing relative frequencies. In this view, diversified monetary institutions with local rules are feasible and realistic. Community currencies are worldwide attempts to redress such problems as financial instability, chronic stagnation, and decline of communities caused by globalization of the economy. Considering those alternative movements as a new type of policy, “evolutionist institutional design”, this book clarifies the feasibility and significance of community currencies in the current era of globalization. The book also provides a better understanding than mainstream approaches of such platform institutions as money that determine fundamental means of cognition and action of interacting agents. Money is a symbolically generalized communication medium in the mesodomain that mediates between socioeconomic performance and patterns in the macrodomain and motives and cognitive frameworks in the microdomain. Conventional national systems of money and finance are platform institutions that determine basic replicators for a capitalistic market economy to evolve. In contrast, community currencies conveying both economic and social/cultural values are distinct platform institutions that are expected to endogenously change such basic replicators in outer and inner institutions for agents to a noncapitalistic market economy. These currencies are considered target institutions for “media design” in the framework of evolutionist institutional design.

An Evolutionist Institutional Design Approach

Community Currency

Europeanization and Globalization

The regulation of sovereign debts raises many complex economic and legal questions. The primary objective of this volume is to focus on the possible legal solutions for the challenges facing the insolvent states. Finding a way out of the sovereign debt crisis requires not only economic considerations, but it implies also a better understanding of the rage of different social and ethical aspects associated with this problem.

The regulation of sovereign debts raises many complex economic and legal questions. The primary objective of this volume is to focus on the possible legal solutions for the challenges facing the insolvent states. Finding a way out of the sovereign debt crisis requires not only economic considerations, but it implies also a better understanding of the rage of different social and ethical aspects associated with this problem.

Possible Legal Solutions

Sovereign Insolvency

Das Lehrbuch soll den Studierenden die grundlegenden Mechanismen der Mikroökonomie vermitteln, indem es das Verhalten der relevanten Marktteilnehmer erklärt. Die theoretische Fundierung baut dabei auf intuitiven graphischen Darstellungen und zahlreichen anwendungsorientierten Beispielen auf und wird zudem durch Aufgaben vertieft, die den Studierenden helfen, das notwendige Problembewusstsein zu erlangen und den Stoff weiter zu vertiefen. Diese Inhalte werden sowohl in deutscher als auch in englischer Sprache vermittelt. Der zweisprachige Lehrbuchansatz ist vor allem für Bachelorstudenten in internationalen Studiengängen sehr wichtig. Der Inhalt<ul><li>Haushaltstheorie </li><li>Produktionstheorie </li><li>Markt </li><li>Staat</li></ul> Die AutorenDr. Florian Bartholomae ist wissenschaftlicher Mitarbeiter am Institut für Ökonomie und Recht der globalen Wirtschaft an der Universität der Bundeswehr München, Dozent für Economics und Managerial Economics an der Munich Business School sowie Partner der Politikberatung Bartholomae &amp; Schoenberg Partnerschaft. Dr. Alina M. Schoenberg ist Professorin an der IMC Fachhochschule Krems. Ihre Forschungsschwerpunkte spiegeln sich nicht nur in ihren wissenschaftlichen Publikationen wider, sondern auch in der aktiven Teilnahme an mehreren anwendungsorientierten Forschungsprojekten wie der ökonomischen und fiskalischen Bewertung der Allianz Arena (Co- Forscherin) bzw. der Fußball Weltmeisterschaft 2006 (Co-Forscherin) und des Transrapids (Projektleiterin) sowie der Bewertung des Zentrale-Orte-Systems in Bayern (Co-Forscherin).

Das Lehrbuch soll den Studierenden die grundlegenden Mechanismen der Mikroökonomie vermitteln, indem es das Verhalten der relevanten Marktteilnehmer erklärt. Die theoretische Fundierung baut dabei auf intuitiven graphischen Darstellungen und zahlreichen anwendungsorientierten Beispielen auf und wird zudem durch Aufgaben vertieft, die den Studierenden helfen, das notwendige Problembewusstsein zu erlangen und den Stoff weiter zu vertiefen. Diese Inhalte werden sowohl in deutscher als auch in englischer Sprache vermittelt. Der zweisprachige Lehrbuchansatz ist vor allem für Bachelorstudenten in internationalen Studiengängen sehr wichtig.

Microeconomics

Mikroökonomik

This book reports what progress is being and should be made in marketing science by social complexity science through such means as agent-based modeling and complex networks, which is seldom addressed by books reviewing the state of the art of marketing research or marketing science. Recently, as the penetration of brand-new communication technologies such as social media or mobile phones is connecting consumers more tightly than ever, marketers should understand and harness complex social interactions between consumers as well as between consumers and firms. Traditional marketing science does not sufficiently capture such phenomena; hence, the emerging alternative approaches are reflecting advances in social complexity science. The aim of this book is to give an overview of these newly emerging research trends, focusing mainly on the following three topics: diffusion of new products, choice and relationship with existing brands and marketing communication including consumers’ word-of-mouth. These topics have attracted a lot of attention among marketers in particular in rapidly growing markets such as hi-tech or services, where consumers’ mutual interaction and their bounded-rational behavior play critical roles. The prospective readers of this book include researchers, graduate students and practitioners with high expertise (e.g. data scientists) in both marketing/consumer research areas and complexity science areas such as computer science, physics and mathematical social science. The book serves as a bridge by providing the evolving knowledge on social complexity modeling for marketing researchers and the accumulated knowledge on marketing/consumer research for complexity researchers. In addition to reviewing previous and ongoing studies, this book offers the agenda for future researchers to discuss what problems have not been solved yet and need social complexity science approaches.

This book reports what progress is being and should be made in marketing science by social complexity science through such means as agent-based modeling and complex networks, which is seldom addressed by books reviewing the state of the art of marketing research or marketing science. Recently, as the penetration of brand-new communication technologies such as social media or mobile phones is connecting consumers more tightly than ever, marketers should understand and harness complex social interactions between consumers as well as between consumers and firms. Traditional marketing science does not sufficiently capture such phenomena; hence, the emerging alternative approaches are reflecting advances in social complexity science. The aim of this book is to give an overview of these newly emerging research trends, focusing mainly on the following three topics: diffusion of new products, choice and relationship with existing brands and marketing communication including consumers’ word-of-mouth. These topics have attracted a lot of attention among marketers in particular in rapidly growing markets such as hi-tech or services, where consumers’ mutual interaction and their bounded-rational behavior play critical roles. The prospective readers of this book include researchers, graduate students and practitioners with high expertise (e.g. data scientists) in both marketing/consumer research areas and complexity science areas such as computer science, physics and mathematical social science. The book serves as a bridge by providing the evolving knowledge on social complexity modeling for marketing researchers and the accumulated knowledge on marketing/consumer research for complexity researchers. In addition to reviewing previous and ongoing studies, this book offers the agenda for future researchers to discuss what problems have not been solved yet and need social complexity science approaches.

Agent-Based Marketing Science

Complex Modeling of Consumer Behavior

Understanding the Digital Revolution and Its Influences

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Bibliografische Angaben

Inhaltsverzeichnis

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