In this work, several modelling approaches are explored to represent spatial pattern dynamics of aquatic populations in aquatic ecosystems by the combination of models, knowledge and data in different scales.

It is shown that including spatially distributed inputs retrieved from Remote Sensing images, a conventional physically-based Harmful Algal Bloom model can be enhanced. Also, Cellular Automata based models using high resolution photographs prove to be good in representing aquatic plant growth. Multi-Agent Systems can capture well the spatial patterns exhibited in GIS density maps. A synthesis modelling framework was developed to include biological/ecological growth and diffusive processes, and local effects in conventional modelling framework. The results of the complementary modelling paradigms investigated in this research can be of help in achieving a sustainable environmental management strategy.

This is the first book to seriously address the disconnection between nimble Agile teams and other groups in the enterprise, including enterprise architecture, the program management office (PMO), human resources, and even business executives. When an enterprise experiments with practice improvements, software development teams often jump on board with excitement, while other groups are left to wonder how they will fit in. We address how these groups can adapt to Agile teams. More importantly, we show how many Agile teams cause their own problems, damaging scalability and sustainability, by requiring special treatment, and by failing to bridge the gaps between themselves and other groups. We call this phenomenon "Agile illth." Adopting a set of "best practices" is not enough. All of us, Agile teams and the corporate groups, must change our intentions and worldviews to be more compatible with the success of the enterprise. Join us on the journey to enterprise agility. It is a crooked path, fraught with danger, confusion and complexity. It is the only way to reach the pinnacles we hope to experience in the form of better business value delivered faster for less cost.

The book studies multilateral population security issues and relevant governance strategies caused by international migration in the countries impacted by China's Belt and Road initiative and their border areas. Buttressed by solid data mining and policy analysis, the title looks into the demographic trends of international migration in China and some Asian Belt and Road countries and stresses the urgency for more effective governance practices. Seeking to address the population security crisis triggered by the Initiative, the authors propose the idea of "multilateral population security governance", grounded in the real-world challenges facing Belt and Road countries while also drawing on experiences of migration governance in western countries. As a new governance model, it calls for cross-border joint action and takes into consideration pertinent factors including economy, politics, culture, religion and commerce. Several case studies and comparative studies are offered in the chapters to illuminate the significance and effect of this cooperative mechanism. The book will be of interest to researchers and government officials interested in non-traditional security, international migration and formal demography as well as topics on population, resources and environment.

This volume highlights proteomics studies of quantitative PTM changes in both peripheral and central nervous system proteomes utilizing the most recent advances in mass spectrometry. Chapters include practical information pertaining to the fundamentals of sample preparation, liquid chromatography, and tandem mass spectrometry instrumental analysis and will elucidate best practices in the interpretation of data using modern bioinformatics approaches. Written for the popular Neuromethods series, chapters include the kind of detail and key implementation advice that ensures successful results in the laboratory. Authoritative and practical, Analysis of Post-Translational Modifications and Proteolysis in Neuroscience aims to ensure successful results in the further study of this vital field.

Worldwide research on ancient glass began in the early 20th century. A consensus has been reached in the community of Archaeology that the first manmade or synthetic glasses, based on archaeological findings, originated in the Middle East during the 5000-3000's BC. By contrast, the manufacturing technology of pottery and ceramics were well developed in ancient China. The earliest pottery and ceramics dates back to the Shang Dynasty - the Zhou Dynasty (1700 BC-770 BC), while the earliest ancient glass artifacts unearthed in China dates back to the Western Han Dynasty. Utilizing the state-of-the art analytical and spectroscopic methods, the recent findings demonstrate that China had already developed its own glassmaking technology at latest since 200 BC. There are two schools of viewpoint on the origin of ancient Chinese glass. The more common one believes that ancient Chinese glass originated from the import of glassmaking technology from the West as a result of Sino-West trade exchanges in the Western Han Dynasty (206 BC-25 AD). The other scientifically demonstrates that homemade ancient Chinese glass with unique domestic formula containing both PbO and BaO were made as early as in the Pre-Qin Period or even the Warring State Period (770 BC-221 BC), known as Youhsa or Faience. This English version of the previously published Chinese book entitled History of Ancient Chinese Glass Technology Development is for universities and research institutes where various research and educational activities of ancient glass and history are conducted. With 18 chapters, the scope of this book covers very detailed information on scientifically based findings of ancient Chinese glass development and imports and influence of foreign glass products as well as influence of the foreign glass manufacturing processes through the trade exchanges along the Silk Road(s).

In this work, several modelling approaches are explored to represent spatial pattern dynamics of aquatic populations in aquatic ecosystems by the combination of models, knowledge and data in different scales. It is shown that including spatially distributed inputs retrieved from Remote Sensing images, a conventional physically-based Harmful Algal Bloom model can be enhanced. Also, Cellular Automata based models using high resolution photographs prove to be good in representing aquatic plant growth. Multi-Agent Systems can capture well the spatial patterns exhibited in GIS density maps. A synthesis modelling framework was developed to include biological/ecological growth and diffusive processes, and local effects in conventional modelling framework. The results of the complementary modelling paradigms investigated in this research can be of help in achieving a sustainable environmental management strategy.

China in the Era of Social Media discusses how social media is changing the world in an unprecedented way through speed, scope, and depth. In the last decade or so, social media in China has witnessed the most explosive growth in the world. Being the most populous nation in the world, it has the most social media users in the world as well. This book examines the current situation and unique characteristics of Chinese social media, the significance of social media in the country's social transformation, and particularly its influences on political change in the nation. The main goal of this book is to explore how social media has been affecting and thus changing China's political system, the ruling communist ideology, and the state-run media, as well as its public discourse and public opinions. Scholars of Asian studies, political science, and communications will find this book particularly interesting.

This is the first book to seriously address the disconnection between nimble Agile teams and other groups in the enterprise, including enterprise architecture, the program management office (PMO), human resources, and even business executives. When an enterprise experiments with practice improvements, software development teams often jump on board with excitement, while other groups are left to wonder how they will fit in. We address how these groups can adapt to Agile teams. More importantly, we show how many Agile teams cause their own problems, damaging scalability and sustainability, by requiring special treatment, and by failing to bridge the gaps between themselves and other groups. We call this phenomenon "Agile illth." Adopting a set of "best practices" is not enough. All of us, Agile teams and the corporate groups, must change our intentions and worldviews to be more compatible with the success of the enterprise. Join us on the journey to enterprise agility. It is a crooked path, fraught with danger, confusion and complexity. It is the only way to reach the pinnacles we hope to experience in the form of better business value delivered faster for less cost.

This volume highlights proteomics studies of quantitative PTM changes in both peripheral and central nervous system proteomes utilizing the most recent advances in mass spectrometry. Chapters include practical information pertaining to the fundamentals of sample preparation, liquid chromatography, and tandem mass spectrometry instrumental analysis and will elucidate best practices in the interpretation of data using modern bioinformatics approaches. Written for the popular Neuromethods series, chapters include the kind of detail and key implementation advice that ensures successful results in the laboratory. Authoritative and practical, Analysis of Post-Translational Modifications and Proteolysis in Neuroscience aims to ensure successful results in the further study of this vital field.

Our work has addressed several issues relating to Ensemble Kalman Filter (EnKF) for assimilating real data, 1) model errors, 2) inconvenience or infeasibility of manually tuning the inflation factor when it is regional and/or variable dependent and 3) erroneously specified observation error statistics. A Local Ensemble Transform Kalman Filter (LETKF) is used as an efficient representative of other EnKF systems. For the model errors issue, we assimilate observations generated from the NCEP/NCAR reanalysis fields into the SPEEDY model. Several methods to handle model errors including model bias and system-noise are investigated. We address the second and third issues by simultaneously estimating both inflation factor and observation error variance on-line. Our research in this book suggests the need to develop a more advanced LETKF with both bias correction and adaptive estimation of inflation within the system.