Privileged Scaffolds in Drug Discovery is the most complete and  up-to-date work in the area. Covering a wide range of privileged structures, it is a perfect reference for scientists involved in targeted drug development. The editors recruited epserts from several prestigious Chinese institutions to cover the areas of antiviral drugs, chalcone, pyrimidine, (benz)imidazoles, natural product-derived privileged scaffolds, N-Sulfonyl carboxamides, kinase inhibitors, antitumor molecules, antineurodegenerative drugs, triazoles, oxazolidinone, indole and indoline scaffolds, tigliane diterpenoids, peptide and peptide-based drugs, quassinoids, and others including pseudonatural products, macrocycles, stable peptides and peptidomimetics. The book also explores scaffolds in drug molecules approved in recent years. Privileged Scaffolds in Drug Discovery  is a complete reference for researchers in drug discovery and organic synthesis, in academic and corporate settings, who are investigating privileged structures upon which to base new drugs. Researchers in medicinal chemistry and chemical biology will also find the contents of this book valuable.

Campus Network Architectures and Technologies begins by describing the service challenges facing campus networks, and then details the intent-driven campus network architectures and technologies of Huawei Cloud Campus Solution. After reading this book, you will have a comprehensive understanding of next-generation campus network solutions, technical implementations, planning, design, and other know-how. Leveraging Huawei’s years of technical expertise and practices in the campus network field, this book systematically describes the use of technical solutions such as virtualization, big data, AI, and SDN in campus networks. You will be able to reconstruct campus networks quickly and efficiently utilizing this informative description. Additionally, this book provides detailed suggestions for campus network design and deployment based on Huawei's extensive project implementation experience, assisting with the construction of automated and intelligent campus networks required to cope with challenges. This is a practical, informative, and easy-to-understand guide for learning about and designing campus networks. It is intended for network planning engineers, network technical support engineers, network administrators, and enthusiasts of campus network technologies. Authors Ningguo Shen is Chief Architect for Huawei’s campus network solutions. He has approximately 20 years' experience in campus network product and solution design, as well as a wealth of expertise in network planning and design. Mr. Shen previously served as a system engineer for the campus switch, data center switch, and WLAN product lines, and led the design of Huawei’s intent-driven campus network solution. Bin Yu is an Architect for Huawei's campus network solutions. He has 12 years’ experience in campus network product and solution design, as well as extensive expertise in network planning and design and network engineering project implementation. Mr. Yu once led the design of multiple features across various campus network solutions. Mingxiang Huang is a Documentation Engineer for Huawei’s campus network solutions. He has three years of technical service experience, and four years of expertise in developing campus network product documentation. Mr. Huang was previously in charge of writing manuals for Huawei router and switch products. He has authored many popular technical series, including Be an OSPF Expert, Insight into Routing Policies, and Story behind Default Routes. Hailin Xu is a Documentation Engineer for Huawei’s campus network solutions. He has two years of marketing experience in smart campus solutions, and six years of expertise in developing network products and solution documentation. Extremely familiar with Huawei's campus network products and solutions, Mr. Xu was previously in charge of writing manuals for Huawei routers, switches, and campus network solutions. In addition, he has participated in smart campus marketing projects within such sectors as education, government, and real estate.

Campus Network Architectures and Technologies begins by describing the service challenges facing campus networks, and then details the intent-driven campus network architectures and technologies of Huawei Cloud Campus Solution. After reading this book, you will have a comprehensive understanding of next-generation campus network solutions, technical implementations, planning, design, and other know-how. Leveraging Huawei's years of technical expertise and practices in the campus network field, this book systematically describes the use of technical solutions such as virtualization, big data, AI, and SDN in campus networks. You will be able to reconstruct campus networks quickly and efficiently utilizing this informative description. Additionally, this book provides detailed suggestions for campus network design and deployment based on Huawei's extensive project implementation experience, assisting with the construction of automated and intelligent campus networks required to cope with challenges. This is a practical, informative, and easy-to-understand guide for learning about and designing campus networks. It is intended for network planning engineers, network technical support engineers, network administrators, and enthusiasts of campus network technologies. Authors Ningguo Shen is Chief Architect for Huawei's campus network solutions. He has approximately 20 years' experience in campus network product and solution design, as well as a wealth of expertise in network planning and design. Mr. Shen previously served as a system engineer for the campus switch, data center switch, and WLAN product lines, and led the design of Huawei's intent-driven campus network solution. Bin Yu is an Architect for Huawei's campus network solutions. He has 12 years' experience in campus network product and solution design, as well as extensive expertise in network planning and design and network engineering project implementation. Mr. Yu once led the design of multiple features across various campus network solutions. Mingxiang Huang is a Documentation Engineer for Huawei's campus network solutions. He has three years of technical service experience, and four years of expertise in developing campus network product documentation. Mr. Huang was previously in charge of writing manuals for Huawei router and switch products. He has authored many popular technical series, including Be an OSPF Expert, Insight into Routing Policies, and Story behind Default Routes. Hailin Xu is a Documentation Engineer for Huawei's campus network solutions. He has two years of marketing experience in smart campus solutions, and six years of expertise in developing network products and solution documentation. Extremely familiar with Huawei's campus network products and solutions, Mr. Xu was previously in charge of writing manuals for Huawei routers, switches, and campus network solutions. In addition, he has participated in smart campus marketing projects within such sectors as education, government, and real estate.

Fifty years after the Korean conflict, what is a forgotten war for some Americans is an aching memory for China. With over a million casualties out of the three million soldiers sent into battle, that war looms as large for the People's Republic of China (PRC)-barely a year old when North Korea invaded the South-as World War II does for most other countries. It was the first international war fought by the Chinese Communist regime to halt counterrevolution; it was also a war that the Chinese fully expected to win, by virtue of not only superiority of numbers but also their soldiers' superior "political quality."

This book presents a mosaic of memoirs by key Chinese military commanders from that war, drawing not only on their personal papers but also on still-classified archives and on Chinese-language sources unavailable in English. It offers an uncensored, behind-the-scenes story of the Communist campaign, from the decision to intervene through the truce negotiations, that discloses new information on such facets of the war as strategy and tactics, use of propaganda, and mobilization of the Chinese population. It also reveals the generals' concerns about the possible use of nuclear force and the alleged use of biological and chemical weapons by the United States.

The book contains a wealth of new materials on the Chinese intervention, including combat operations, logistics, political control, field command, and communications. Among those whose recollections are recorded, then-acting Chief of Staff Nie Rongzhen reveals how party leadership decided on intervention, Commander in Chief Peng Dehuai provides personal accounts of major battles and communications with Mao, and General Yang Dezhi shares secrets of Chinese military strategy and tactics, discussing how the army orchestrated each battle to contend with the better equipped UN forces. The volume also features an updated short history of the PRC's conduct of the war based on Chinese sources, plus rare photos from Chinese archives that put readers behind the lines from the Chinese side.

"Mao's Generals Remember Korea" demonstrates that the PRC continues to draw military, diplomatic, and strategic lessons from the war it fought fifty years ago with the world's most powerful military force. It offers valuable insight into the Chinese way of war and the military mind of Mao that will be a rich resource for Asian and military scholars.

Researchers in many disciplines now face the formidable task of processing massive amounts of high-dimensional and highly structured data. Advances in data collection and information technologies have coupled with innovations in computing to make commonplace the task of learning from complex data. As a result, fundamental statistical research is being undertaken in a variety of different fields. Driven by the difficulty of these new problems, and fueled by the explosion of available computer power, highly adaptive, non-linear procedures are now essential components of modern ¿data analysis,¿ a term that we liberally interpret to include speech and pattern recognition, classification, data compression and image processing. The development of new, flexible methods combines advances from many sources, including approximation theory, numerical analysis, machine learning, signal processing and statistics. This volume collects 31 papers from a unique workshop designed to promote communication between these different disciplines. Held in the spring of 2001 at the Mathematical Sciences Research Institute in Berkeley, CA, the meeting brought together eminent experts from machine learning, artificial intelligence, applied mathematics, image analysis, signal processing, information theory, and optimization. In addition to presentations on fundamental methodological work, there were talks on complex applications like environmental modeling, network analysis, and bioinformatics. Statistics