Long Yuan – författare

Diploma Thesis from the year 2010 in the subject Economics - Monetary theory and policy, grade: 2,7, University of Trier, language: English, abstract: Since 2002, China's rapid growth and the trend of globalization have forced China to face its currency's regime development. Although Chinese central bank in 2005 announced to adjust its regime towards basket policy, Yuan has been pegged to USD while maintained undervalu-ation and trade surplus in the following years, which led to global criticism and pressure to revalue. Under such circumstance, the discussion around Yuan has shifted towards whether Chinese currency regime should be more flexible, abandoning the old argument that how much Yuan should revalue. This essay provides a study regarding the future of RMB, based on analysis of Yuan s development before and after entering WTO, and the pros and cons of Yuan s regime during China s development. Also, this article also draws insights from the development of capital export and restriction, high saving rate and huge foreign reserves. Based on the analysis, the article reaches the conclusion: considering the huge negative impact on China s economy should Yuan revaluate, it is not realistic to expect Yuan to raise sharply in the near future; if China is to allow Yuan to revalue, the most possible course of action is to implement some extra financial polices to reduce the impact.

Graphs have become a fundamental tool for data analysis, but conventional models based on homogeneous, static, and pairwise connections often leave important information hidden. Higher-order graph analytics reveals a richer view of connected data by distinguishing typed relationships, tracing time-ordered interactions, studying dependencies across layers, and capturing multiway group relationships. These capabilities open new possibilities for analyzing complex data in social networks, transportation, communication, biology, finance, and many other domains.This book provides a systematic guide to higher-order graph analytics through four major models: heterogeneous information networks (HINs), temporal graphs, multilayer graphs, and hypergraphs. For each model, it connects key concepts and problem formulations with computational methods, algorithms, and real-world applications. The discussion shows how semantic types, temporal order, cross-layer dependencies, and multiway interactions change the way graph data is modeled and analyzed.Covering core tasks, including centrality, community detection, cohesive subgraph analysis, traversal, and pattern matching, the book equips readers with the tools and knowledge needed to analyze complex graph data effectively. It serves as an essential resource for researchers, data scientists, and students seeking to master this rapidly evolving field and apply higher-order graph analytics across disciplines.

This book constitutes the proceedings of the 20th International Conference on Web Information Systems and Applications, WISA 2023, held in Chengdu, China, in September 2023.The 43 full papers and 9 short papers presented in this book were carefully reviewed and selected from 213 submissions. The papers are grouped in topical sections on Data Mining and Knowledge Discovery, Recommender Systems, Natural Language Processing, Security, Privacy and Trust, Blockchain, Parallel and Distributed Systems and Database for Artificial Intelligence..