Yue Hu

Site characterization is indispensable to good geotechnical or rock engineering practice as every site is unique, but technical, budget, time, or access constraints typically result in only a tiny fraction of the underground soil and rock in a site being visually inspected, sampled, or tested. This leads to a long- lasting challenge of sparse measurements in geo- sciences and engineering. This book introduces Bayesian compressive sensing or sampling (BCS) as a highly efficient spatial data analytic and simulation method for the efficient modelling of spatial geo- data from sparse measurements, with quantified reliability and uncertainty to further optimize site characterization. It provides the necessary theory and computational tools for setting up and solving a sparse spatial data modeling problem using BCS. This book suits graduate students, academics, researchers, and engineers interested in site characterization from sparse measurements in geotechnical and rock engineering, and also those modeling other spatially varying phenomena such as air quality data, soil or water pollution data, and meteorological data. This is supplemented with a software called Analytics of Sparse Spatial Data using Bayesian compressive sampling/ sensing and illustrative examples, and enables hands- on experience of spatial data analytics and simulation using sparse measurements.

Building Effective Crisis Communications for Disaster Recovery: A Case of Earthquake Reconstruction and Rehabilitation in Sichuan, China reviews and evaluates public relations (PR) campaigns launched by the Chinese government to facilitate long-term disaster recovery after the Wenchuan earthquake in 2008. The Discourse of Renewal (DR) theory is employed to guide the study and explore how the Chinese government utilized communication to help communities recover from disaster and promote community growth. Steered by the co-creational perspective, this book also examines the influence of PR campaigns on the public’s situation awareness, attitude agreement, perceived care and concern, and ultimately the public’s relationship with the Chinese government in renewal. In addition to developing and testing a DR evaluation model, this study investigates the communication obstacles that constrain the effectiveness of DR. In-depth interviews, content analysis, and surveys are conducted to analyze the themes, characteristics, effectiveness, and barriers of the campaigns. The findings of Building Effective Crisis Communications for Disaster Recovery include that (1) DR theory, which has heretofore been developed and applied mainly in Western culture, can inform the study of crisis communication in an Eastern culture, especially in China, (2) DR employed in government campaigns can be very powerful in achieving PR goals in crisis renewal, and (3) imbalanced deployment of campaign resources can affect the outcome of DR. This book also discusses the implications of utilizing these findings to better plan and implement long-term DR campaigns.

Statistical methodology plays a key role in ensuring that DNA evidence is collected, interpreted, analyzed and presented correctly. With the recent advances in computer technology, this methodology is more complex than ever before. There are a growing number of books in the area but none are devoted to the computational analysis of evidence. This book presents the methodology of statistical DNA forensics with an emphasis on the use of computational techniques to analyze and interpret forensic evidence.