Information retrieval (IR) is a fundamental task in many real-world applications such as Web search, question answering systems, and digital libraries. The core of IR is to identify information resources relevant to user's information need. Since there might be more than one relevant resource, the returned result is often organized as a ranked list of documents according to their relevance degree against the information need. The ranking property of IR makes it different from other tasks, and researchers have devoted substantial efforts to develop a variety of ranking models in IR. In recent years, the resurgence of deep learning has greatly advanced this field and led to a hot topic named NeuIR (neural information retrieval), especially the paradigm of pre-training methods (PTMs). Owing to sophisticated pre-training objectives and huge model size, pre-trained models can learn universal language representations from massive textual data that are beneficial to the ranking task of IR. Considering the rapid progress of this direction, this survey provides a systematic review of PTMs in IR. The authors present an overview of PTMs applied in different components of an IR system, including the retrieval component and the re-ranking component. In addition, they introduce PTMs specifically designed for IR, and summarize available datasets as well as benchmark leaderboards. Lastly, they discuss some open challenges and highlight several promising directions with the hope of inspiring and facilitating more works on these topics for future research.

This book focuses on two of the most relevant problems related to power management on multicore and manycore systems. Specifically, one part of the book focuses on maximizing/optimizing computational performance under power or thermal constraints, while another part focuses on minimizing energy consumption under performance (or real-time) constraints.

This book identifies the need for modeling auxiliary knowledge of the terrain to enhance the prediction accuracy of meteorological parameters. The spatial and spatio-temporal prediction of these parameters are important for the scientific community, and the semantic kriging (SemK) and its variants facilitate different types of prediction and forecasting, such as spatial and spatio-temporal, a-priori and a-posterior, univariate and multivariate. As such, the book also covers the process of deriving the meteorological parameters from raw satellite remote sensing imagery, and helps understanding different prediction method categories and the relation between spatial interpolation methods and other prediction methods. The book is a valuable resource for researchers working in the area of prediction of meteorological parameters, semantic analysis (ontology-based reasoning) of the terrain, and improving predictions using auxiliary knowledge of the terrain.

Risk management has become an essential issue in supply chain management, from the modeling of the decision maker's risk preference, and the studies on uncertain elements such as demand, supply, price, lead time, etc., to the consideration of more practical background including cash flow constraints, inventory financing and delayed cash payment. In this new volume, the authors provide a framework to study the interaction of various factors related to risk and their influence on supply chain management. The scope of areas covered includes operations management, decision analysis, and business administration. This book focuses on several key issues of risk management in supply chains. Specifically, an analysis framework is presented for studying the supplier selection problem and identifying the optimal sourcing strategy in a one-retailer two-suppliers supply chain with random yields. The optimal sourcing strategy of a retailer and the pricing strategies of two suppliers under an environment of supply disruption are investigated. Besides, the authors study the dynamic inventory control problems with cash flow constraints, financing decisions as well as delayed cash payment. In addition, originating from the annual international iron ore price negotiation, the authors model the bargaining process to deal with the risk of wholesale price in the game analysis context. Within the three perspectives of risk management in supply chains, the modeling of decision maker's risk preference has been extensively studied and many results have been obtained to guide the practice. However, the analysis on the other two kinds of topics is still in its infancy, and needs more efforts from academia. It is thus the ambition and innovation for this book to contribute on risk management in supply chains in the following ways: (1) characterizing the explicit sourcing strategy (i.e., single sourcing or dual sourcing) to deal with supply disruption risk; (2) introducing the concepts of financial risk measurement by incorporating cash flow constraints, inventory financing and delayed cash payment into inventory management models; and (3) providing insights for the iron ore price negotiation to help steel manufacturers handle the risk of price increase.

This Open Access book celebrates Professor Peter Marwedel's outstanding achievements in compilers, embedded systems, and cyber-physical systems. The contributions in the book summarize the content of invited lectures given at the workshop "Embedded Systems" held at the Technical University Dortmund in early July 2019 in honor of Professor Marwedel's seventieth birthday. Provides a comprehensive view from leading researchers with respect to the past, present, and future of the design of embedded and cyber-physical systems; Discusses challenges and (potential) solutions from theoreticians and practitioners on modeling, design, analysis, and optimization for embedded and cyber-physical systems; Includes coverage of model verification, communication, software runtime systems, operating systems and real-time computing.

This book provides a comprehensive overview of the field of free electron lasers. Each chapter is based on a graduate-level lecture given by an internationally known expert in the field, and is self-contained, beginning with introductory background material and culminating in an in-depth discussion of the author's current research. Written with both the student physicist and the active researcher in mind, this book is sure to be a valuable reference for graduate students and professionals alike.

This book focuses on two of the most relevant problems related to power management on multicore and manycore systems. Specifically, one part of the book focuses on maximizing/optimizing computational performance under power or thermal constraints, while another part focuses on minimizing energy consumption under performance (or real-time) constraints.

Risk management has become an essential issue in supply chain management, from the modeling of the decision maker's risk preference, and the studies on uncertain elements such as demand, supply, price, lead time, etc., to the consideration of more practical background including cash flow constraints, inventory financing and delayed cash payment. In this new volume, the authors provide a framework to study the interaction of various factors related to risk and their influence on supply chain management.

The scope of areas covered includes operations management, decision analysis, and business administration. This book focuses on several key issues of risk management in supply chains. Specifically, an analysis framework is presented for studying the supplier selection problem and identifying the optimal sourcing strategy in a one-retailer two-suppliers supply chain with random yields. The optimal sourcing strategy of a retailer and the pricing strategies of two suppliers under an environment of supply disruption are investigated. Besides, the authors study the dynamic inventory control problems with cash flow constraints, financing decisions as well as delayed cash payment. In addition, originating from the annual international iron ore price negotiation, the authors model the bargaining process to deal with the risk of wholesale price in the game analysis context.

Within the three perspectives of risk management in supply chains, the modeling of decision maker's risk preference has been extensively studied and many results have been obtained to guide the practice. However, the analysis on the other two kinds of topics is still in its infancy, and needs more efforts from academia. It is thus the ambition and innovation for this book to contribute on risk management in supply chains in the following ways:

(1) characterizing the explicit sourcing strategy (i.e., single sourcing or dual sourcing) to deal with supply disruption risk;

(2) introducing the concepts of financial risk measurement by incorporating cash flow constraints, inventory financing and delayed cash payment into inventory management models; and

(3) providing insights for the iron ore price negotiation to help steel manufacturers handle the risk of price increase.

In the early twentieth century, China was stigmatized as the "Land of Famine." Meanwhile in Europe and the United States, scientists and industrialists seized upon the soybean as a miracle plant that could help build modern economies and healthy nations. Soybeans, protein-packed and domestically grown, were a common food in China, and soybean milk (doujiang) was poised for reinvention for the modern age. Scientific soybean milk became a symbol of national growth and development on Chinese terms, and its competition with cow's milk reflected China's relationship to global modernity and imperialism. The Other Milk explores the curious paths that led to the notion of the deficient Chinese diet and to soybean milk as the way to guarantee food security for the masses. Jia-Chen Fu's in-depth examination of the intertwined relationships between diet, health, and nation illuminates the multiple forces that have been essential in the formation of nutrition science in China.

This book constitutes the refereed proceedings of the 14th International Conference on Similarity Search and Applications, SISAP 2021, held in Dortmund, Germany, in September/October 2021. The conference was held virtually due to the COVID-19 pandemic.The 23 full papers presented together with 5 short and 3 doctoral symposium papers were carefully reviewed and selected from 50 submissions. The papers are organized in the topical sections named: Similarity Search and Retrieval; Intrinsic Dimensionality; Clustering and Classification; Applications of Similarity Search; Similarity Search in Graph-Structured Data; Doctoral Symposium.

This Open Access book celebrates Professor Peter Marwedel's outstanding achievements in compilers, embedded systems, and cyber-physical systems. The contributions in the book summarize the content of invited lectures given at the workshop "Embedded Systems" held at the Technical University Dortmund in early July 2019 in honor of Professor Marwedel's seventieth birthday. Provides a comprehensive view from leading researchers with respect to the past, present, and future of the design of embedded and cyber-physical systems; Discusses challenges and (potential) solutions from theoreticians and practitioners on modeling, design, analysis, and optimization for embedded and cyber-physical systems; Includes coverage of model verification, communication, software runtime systems, operating systems and real-time computing.

This book identifies the need for modeling auxiliary knowledge of the terrain to enhance the prediction accuracy of meteorological parameters. The spatial and spatio-temporal prediction of these parameters are important for the scientific community, and the semantic kriging (SemK) and its variants facilitate different types of prediction and forecasting, such as spatial and spatio-temporal, a-priori and a-posterior, univariate and multivariate. As such, the book also covers the process of deriving the meteorological parameters from raw satellite remote sensing imagery, and helps understanding different prediction method categories and the relation between spatial interpolation methods and other prediction methods. The book is a valuable resource for researchers working in the area of prediction of meteorological parameters, semantic analysis (ontology-based reasoning) of the terrain, and improving predictions using auxiliary knowledge of the terrain.

In the early twentieth century, China was stigmatized as the "Land of Famine." Meanwhile in Europe and the United States, scientists and industrialists seized upon the soybean as a miracle plant that could help build modern economies and healthy nations. Soybeans, protein-packed and domestically grown, were a common food in China, and soybean milk (doujiang) was poised for reinvention for the modern age. Scientific soybean milk became a symbol of national growth and development on Chinese terms, and its competition with cow's milk reflected China's relationship to global modernity and imperialism. The Other Milk explores the curious paths that led to the notion of the deficient Chinese diet and to soybean milk as the way to guarantee food security for the masses. Jia-Chen Fu's in-depth examination of the intertwined relationships between diet, health, and nation illuminates the multiple forces that have been essential in the formation of nutrition science in China.

Moral Foods: The Construction of Nutrition and Health in Modern Asia investigates how foods came to be established as moral entities, how moral food regimes reveal emerging systems of knowledge and enforcement, and how these developments have contributed to new Asian nutritional knowledge regimes. The collection's focus on cross-cultural and transhistorical comparisons across Asia brings into view a broad spectrum of modern Asia that extends from East Asia, Southeast Asia, to South Asia, as well as into global communities of Western knowledge, practice, and power outside Asia. The first section, "Good Foods," focuses on how food norms and rules have been established in modern Asia. Ideas about good foods and good bodies shift at different moments, in some cases privileging local foods and knowledge systems, and in other cases privileging foreign foods and knowledge systems. The second section, "Bad Foods," focuses on what makes foods bad and even dangerous. Bad foods are not simply unpleasant or undesirable for aesthetic or sensory reasons, but they can hinder the stability and development of persons and societies. Bad foods are symbolically polluting, as in the case of foreign foods that threaten not only traditional foods, but also the stability and strength of the nation and its people. The third section, "Moral Foods," focuses on how themes of good versus bad are embedded in projects to make modern persons, subjects, and states, with specific attention to the ambiguities and malleability of foods and health. The malleability of moral foods provides unique opportunities for understanding Asian societies' dynamic position within larger global flows, connections, and disconnections. Collectively, the chapters raise intriguing questions about how foods and the bodies that consume them have been valued politically, economically, culturally, and morally, and about how those values originated and evolved. Consumers in modern Asia are not simply eating to satisfy personal desires or physiological needs, but they are also conscripted into national and global statemaking projects through acts of ingestion. Eating, then, has become about fortifying both the person and the nation.