This book explores the changing face of development assistance. China's One Belt, One Road development program is the largest international investment scheme in history, surpassing the Marshall Plan by an order of magnitude. In 2017, a group of top scholars from Fudan, the London School of Economics, and other institutions like the Institute of Development Studies, Australian National University, and World Bank gathered to share findings and ideas about the nature of New Development Assistance. A compilation of their findings, this book will be of interest to NGOs, policymakers, and academics.

Spatial trajectories have been bringing the unprecedented wealth to a variety of research communities. A spatial trajectory records the paths of a variety of moving objects, such as people who log their travel routes with GPS trajectories. The field of moving objects related research has become extremely active within the last few years, especially with all major database and data mining conferences and journals.

"Computing with Spatial Trajectories" introduces the algorithms, technologies, and systems used to process, manage and understand existing spatial trajectories for different applications. This book also presents an overview on both fundamentals and the state-of-the-art research inspired by spatial trajectory data, as well as a special focus on trajectory pattern mining, spatio-temporal data mining and location-based social networks. Each chapter provides readers with a tutorial-style introduction to one important aspect of location trajectory computing, case studies and many valuable references to other relevant research work.

"Computing with Spatial Trajectories" is designed as a reference or secondary text book for advanced-level students and researchers mainly focused on computer science and geography. Professionals working on spatial trajectory computing will also find this book very useful.

This book constitutes the refereed proceedings of the 13th International Symposium on Spatial and Temporal Databases, SSTD 2013, held in Munich, Germany, in August 2013. The 24 revised full papers presented were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections on joins and algorithms; mining and discovery; indexing; trajectories and road network data; nearest neighbours queries; uncertainty; and demonstrations.

China is undergoing a dramatic transition from the old to the new as the country integrates into global product and labour markets. Managing Human Resources in China examines the emergence of new and hybrid forms of employment practices within Chinese Multinational Corporations (MNCs) from the perspective of local stakeholders. These include managers, workers and government officials, who take part in strategic planning and policy implementation whilst coping with the pressure of an ever-changing environment. Working in and observing four foreign-invested manufacturing plants located in one of China's new industrial clusters, Yu Zheng offers a fresh perspective on the management of MNCs. The voices of employees have not been heard before, yet they are the critical actors in China's transformation through foreign direct investment. This book explores the pains and gains, achievements and setbacks of managing the Chinese workforce, which is ever pragmatic, increasingly assertive and constantly evolving.

The 3-volume set LNAI 13280, LNAI 13281 and LNAI 13282 constitutes the proceedings of the 26th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2022, which was held during May 2022 in Chengdu, China. The 121 papers included in the proceedings were carefully reviewed and selected from a total of 558 submissions. They were organized in topical sections as follows: Part I: Data Science and Big Data Technologies, Part II: Foundations; and Part III: Applications.

The 3-volume set LNAI 13280, LNAI 13281 and LNAI 13282 constitutes the proceedings of the 26th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2022, which was held during May 2022 in Chengdu, China. The 121 papers included in the proceedings were carefully reviewed and selected from a total of 558 submissions. They were organized in topical sections as follows: Part I: Data Science and Big Data Technologies, Part II: Foundations; and Part III: Applications.

In China werden zunehmend Kooperationsprojekte mit deutschen Hochschulen gefoerdert. Dies bringt die Notwendigkeit eines deutlichen Ausbaus der fachsprachlichen Hoerkompetenzen der Studierenden im Deutschen mit sich - die Hoerkompetenzen sind entscheidend fur den Studienerfolg. Dieses Buch skizziert die Anlage, Durchfuhrung und Ergebnisse einer entsprechenden empirischen Untersuchung: Es galt zu erforschen, wie sich die fachsprachliche Hoerkompetenz im Deutschen bei chinesischen Studierenden entwickelt hat und welche Verstehensschwierigkeiten sie haben. Die gewonnenen Erkenntnisse koennen als Basis fur jene Studienbausteine dienen, die der Entwicklung des fachsprachlichen Hoerverstehens zugrunde liegen. Ziel ist das Meistern der fachsprachlichen Hurde innerhalb der rezeptiven Fertigkeit und ein Steigern der Studierfahigkeit.

The 3-volume set LNAI 13280, LNAI 13281 and LNAI 13282 constitutes the proceedings of the 26th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2022, which was held during May 2022 in Chengdu, China. The 121 papers included in the proceedings were carefully reviewed and selected from a total of 558 submissions. They were organized in topical sections as follows: Part I: Data Science and Big Data Technologies, Part II: Foundations; and Part III: Applications.

This book explores the changing face of development assistance. China's One Belt, One Road development program is the largest international investment scheme in history, surpassing the Marshall Plan by an order of magnitude. In 2017, a group of top scholars from Fudan, the London School of Economics, and other institutions like the Institute of Development Studies, Australian National University, and World Bank gathered to share findings and ideas about the nature of New Development Assistance. A compilation of their findings, this book will be of interest to NGOs, policymakers, and academics.

This book constitutes the refereed proceedings of the First CCF International Conference on Artificial Intelligence, CCF-ICAI 2018, held in Jinan, China in August, 2018. The 17 papers presented were carefully reviewed and selected from 82 submissions. The papers are organized in topical sections on unsupervised learning, graph-based and semi-supervised learning, neural networks and deep learning, planning and optimization, AI applications.

China is undergoing a dramatic transition from the old to the new as the country integrates into global product and labour markets. Managing Human Resources in China examines the emergence of new and hybrid forms of employment practices within Chinese Multinational Corporations (MNCs) from the perspective of local stakeholders. These include managers, workers and government officials, who take part in strategic planning and policy implementation whilst coping with the pressure of an ever-changing environment. Working in and observing four foreign-invested manufacturing plants located in one of China's new industrial clusters, Yu Zheng offers a fresh perspective on the management of MNCs. The voices of employees have not been heard before, yet they are the critical actors in China's transformation through foreign direct investment. This book explores the pains and gains, achievements and setbacks of managing the Chinese workforce, which is ever pragmatic, increasingly assertive and constantly evolving.

An authoritative treatment of urban computing, offering an overview of the field, fundamental techniques, advanced models, and novel applications. Urban computing brings powerful computational techniques to bear on such urban challenges as pollution, energy consumption, and traffic congestion. Using today's large-scale computing infrastructure and data gathered from sensing technologies, urban computing combines computer science with urban planning, transportation, environmental science, sociology, and other areas of urban studies, tackling specific problems with concrete methodologies in a data-centric computing framework. This authoritative treatment of urban computing offers an overview of the field, fundamental techniques, advanced models, and novel applications. Each chapter acts as a tutorial that introduces readers to an important aspect of urban computing, with references to relevant research. The book outlines key concepts, sources of data, and typical applications; describes four paradigms of urban sensing in sensor-centric and human-centric categories; introduces data management for spatial and spatio-temporal data, from basic indexing and retrieval algorithms to cloud computing platforms; and covers beginning and advanced topics in mining knowledge from urban big data, beginning with fundamental data mining algorithms and progressing to advanced machine learning techniques. Urban Computing provides students, researchers, and application developers with an essential handbook to an evolving interdisciplinary field.