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Integer Programming and Combinatorial Optimization
This book constitutes the refereed proceedings of the 12th International Conference on Integer Programming and Combinatorial Optimization, IPCO 2007, held in Ithaca, NY, USA, in June 2007. Among the topics addressed in the 36 revised full papers are approximation algorithms, algorithmic game theory, computational biology, integer programming, polyhedral combinatorics, scheduling theory and scheduling algorithms, as well as semidefinite programs.
Report from Xunwu
Long described as lost, this report was the result of Mao Zedong's investigation in 1930 of the people, economy, society and history of the obscure rural county of Xunwu in South China. An extraordinary document that far exceeds in scope and depth Mao's other investigative reports on rural China, the report is a rich source of information on rural administration, commerce, transportation, communication, education, land tenure, taxation, religion, diverse social relations and practices and struggle in one obscure area that was a microcosm of China. Thompson has translated and presented Mao's report with extensive notes. The book is designed to be accessible to non-specialists, and it will be welcomed by those interested in the Chinese countryside, comparative revolution and historical anthropology. Because Mao's report on Xunwu was part of a revolutionary programme, the report raises complex questions about academic and activist readings of social realities.
Limited Views
This translation of 65 pieces from Qian Zhongshu's Guanzhui bian (Limited Views) makes available for the first time in English a representative selection from Qian's massive four-volume collection of essays and reading notes on the classics of early Chinese literature. First published in 1979, it has been hailed as one of the most insightful and comprehensive treatments of themes and motifs in early Chinese writing to appear in this century. Scholar, novelist, and essayist Qian Zhongshu (b. 1910) is arguably contemporary China's foremost man of letters, andLimited Views is recognized as the culmination of his study of literature in both the Chinese and the Western traditions.
The Gut-Skin Axis: Interaction of Gut Microbiome and Skin Diseases
More and more evidence has demonstrated that gut microbiome plays critical roles in modulating the development of diseases beyond the gastrointestinal tract, including skin disorders such as psoriasis. The new conception ‘gut-skin axis’ refers to the bidirectional relationship between the gut microbiome and skin health. Several mechanisms, such as intestinal barrier, inflammatory mediators, and metabolites, have been proposed for gut-skin axis. Currently, there have been various studies regarding the presence of the gut-skin axis and its resulting inflammatory effect due to gut microbiome imbalance. In addition, dysbiosis of the skin and gut microbiota is also observed in skin disorders. Therefore, understanding the gut-skin axis, especially in terms of microbiome modulation, is important for the gut and skin health, which may lead to development of novel therapies for skin disease.
Grey Systems Analysis
The book covers up-to-date theoretical and applied advances in grey systems theory from across the world and vividly presents the reader with the overall picture of this new theory and its frontier research. Many of the concepts, models and methods in the book are original by the authors, including simplified form of grey number, general grey number and the operations of grey numbers; the axiomatic system of buffer operators and a series of weakening and strengthening operators; a series of grey relational analysis models, including grey absolute, relative, synthetic, similarity, closeness, negative and three dimension degree, etc.; grey fixed weight clustering model, grey evaluation models ...
Natural Language Processing and Chinese Computing
This three-volume set constitutes the refereed proceedings of the 12th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2023, held in Foshan, China, during October 12–15, 2023. The ____ regular papers included in these proceedings were carefully reviewed and selected from 478 submissions. They were organized in topical sections as follows: dialogue systems; fundamentals of NLP; information extraction and knowledge graph; machine learning for NLP; machine translation and multilinguality; multimodality and explainability; NLP applications and text mining; question answering; large language models; summarization and generation; student workshop; and evaluation workshop.
Chemical Sensors
Chemical sensors contain two basic functions: recognition and transduction, and provide real-time information about substances rather than physical quantities. Such devices are extensively utilized for various applications in diverse fields. The book focuses on the physical, chemical, optical, and electrical working mechanisms of different types of sensors integrated with various smart nanomaterials and composites. The mesmerizing properties of numerous materials and their fruitful applications for detecting numerous chemical parameters are discussed here. The book provides recent progress in the chemical sensors field and connects materials, physics, chemistry, and engineering, and therefore, is suitable for engineers, industrial, and academic researchers.
A Process-Centric View on Predictive Maintenance and Fleet Prognostics. Development of a Process Reference Model and a Development Method for Fleet Prognostics to Guide Predictive Maintenance Projects
In the age of digitalization and the fourth industrial revolution, predictive maintenance is becoming increasingly important as a proactive maintenance type. Despite the economic benefits that predictive maintenance generates for companies, its practical application is still in its early stages. This is often due to two prevailing challenges. First, there is a deficiency of knowledge about predictive maintenance and its concrete realization. Second, there is a lack of high quality and rich data of historical machine failures. To increase the representativeness of data, data from several similar machines (i.e. a fleet) should be considered. To foster the effective implementation of predictive...
