The 2nd International Conference on Mathematical Statistics and Economic Analysis (MSEA 2023) was held virtually from 26-28 May 2023 in Nanjing, China. The conference was attended by researchers, teachers, students and engineers in the field of mathematical statistics and economic analysis. Through data statistics and analysis, we can quickly understand the pattern of economic development. This conference combines mathematical statistics and economic analysis, explores the relationship between the two, and provides a platform for experts and scholars in the fields of mathematical statistics and economic analysis to discuss related issues and exchange ideas. Therefore, we hope to create a forum for sharing research results and exploring future research directions, so that participants can learn about the latest research directions, contents and results of mathematical statistics and economic analysis; secondly, we hope that the conference can provide solutions to the major problems facing mathematical statistics and economic analysis, and create a space that encourages discussion and joint development of research, technological development and innovation.

High-Entropy Alloys: Design, Manufacturing, and Emerging Applications presents cutting-edge advances in the field of these materials, covering their mechanics, methods of manufacturing, and applications, all while emphasizing the link between their structure/microstructure and functional properties. The book starts with a section on the fundamentals of high-entropy alloys (HEAs), with chapters discussing their thermodynamics, subgroups (transition metal; refractory; ceramics; metallic glasses and more), physical metallurgy, and microstructural characterization. The next section features chapters which look at manufacturing processes of HEAs, such as liquid metallurgy synthesis, in-situ synthesis, additive manufacturing, machine learning, friction stir welding, and fabrication of coatings for HEAs. The final section of the book covers applications of these materials, including their use as irradiation-resistant structural materials, catalyst materials, electrode materials, HEAs for solid hydrogen storage, and more. The book is a key resource for academic researchers, grad students, and industry professionals working with HEAs across a range of disciplines and applications including aerospace, functional materials, catalyst materials, gas storage, sensing, super-conducting materials, biomedical, civil engineering, energy storage, and energy materials. Covers the mechanics, manufacturing, and applications of functionally-oriented high-entropy alloys (HEAs) Discusses the metallurgical composition of HEAs, their microstructural characterization, thermal stability, and how to manufacture them via powder metallurgy, additive manufacturing, and friction stir welding Reviews applications of HEAs such as for irradiation-resistant structural materials, in biomedical settings, as catalyst materials, for solid hydrogen storage, and more

The Water Reactor Fuel Performance Meeting (WRFPM) held in Asia has merged with TopFuel in Europe and LWR Fuel Performance in the United States to form the globally most influential conference in the field of nuclear fuel research. WRFPM2023 is organized by Chinese Nuclear Society (CNS) in cooperation with the Atomic Energy Society of Japan (AESJ), Korean Nuclear Society (KNS), European Nuclear Society (ENS), American Nuclear Society (ANS), the Interna-tional Atomic Energy Agency (IAEA) with the support from China Nuclear Energy In¬dustry Corporation (CNEIC) and TVEL. Conference Topics: 1. Advances in water reactor fuel technology and testing 2. Operation and experience 3. Transient and off-normal fuel behaviour and safety related issues 4. Fuel cycle, used fuel storage and transportation 5. Innovative fuel and related issues 6. Fuel modelling, analysis and methodology

In the field of computer vision research, the study of human behavior is a formidable challenge. The diverse applications of this field, from video surveillance for crowd analysis to healthcare diagnostics, have drawn increasing attention. However, a significant problem persists – the sacrifice of transparency for the sake of predictive accuracy in Artificial Intelligence (AI) solutions. These AI systems often operate as enigmatic black boxes, seemingly conjuring decisions from vast datasets with little to no explanation. The need for clarity and accountability in AI decision-making is paramount as our reliance on these systems continues to grow. Explainable AI Applications for Human Behavior Analysis embarks on a mission to harness AI's innate capability to elucidate upon its own decision-making processes. By focusing on facial expressions, gestures, and body movements, we delve into uncharted territories of research, offering novel methodologies, databases, benchmarks, and algorithms for the analysis of human behavior in natural settings. Geared toward academic scholars, this book compiles the expertise of leading researchers in the field, making it accessible to readers of all educational backgrounds.