Focusing on the impact of digital technologies in education, this compendium examines contemporary teaching and learning practices, addressing the challenges of classroom, online, and hybrid formats. It highlights key success factors and explores future directions for educational methods in the digital age, providing insights into how technology shapes the learning experience.
Focusing on the transformative role of financial technologies, the book explores their significant influence on the Banking, Financial Services, and Insurance sectors. It highlights the substantial global investment in FinTech, exceeding $100 billion in 2020, and discusses how this surge is shaping the future of payments, loans, wealth management, insurance, and cryptocurrencies. The analysis provides insights into the evolving landscape of finance driven by technological advancements.
Bayesian and Frequentist Analysis of Categorical and Limited Response Variables with R and Stan
The book explores categorical and limited response variable models through a blend of Bayesian and Frequentist methodologies. Aimed at graduate students, junior researchers, and quantitative analysts, it serves as a comprehensive resource for those in behavioral, health, and social sciences, providing a detailed understanding of modern applied regression techniques.
Solid-State NMR Characterization of Heterogeneous Catalysts and Catalytic Reactions provides a comprehensive account of state-of-the-art solid-state NMR techniques and the application of these techniques in heterogeneous catalysts and related catalytic reactions. It includes an introduction to the basic theory of solid-state NMR and various frequently used techniques. Special emphasis is placed on characterizing the framework and pore structure, active site, guest-host interaction, and synthesis mechanisms of heterogeneous catalysts using multinuclear one- and two-dimensional solid-sate NMR spectroscopy. Additionally, various in-situ solid-state NMR techniques and their applications in investigation of the mechanism of industrially important catalytic reactions are also discussed. Both the fundamentals and the latest research results are covered, making the book suitable as a reference guide for both experienced researchers in and newcomers to this field. Feng Deng is a Professor at Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences.
Fabric’s smoothness is a key factor to determine the quality of finished textile products, and it has great influence on the functionality of industrial textiles and high-end textile products. Fabric inspection has proven to be one of the most difficult of all textiles processes to achieve automatism. Automatic inspections systems are designed to increase the accuracy, consistency and speed of the detection of defects in the manufacturing process of fabrics, in order to reduce labor costs, improve product quality and increase manufacturing efficiency. The quantification of textile defects, especially 3-D defects, is usually done off-line, often in a laboratory environment. At present, no 3-D defects online system exists, which is able to detect, measure and classify the various defects encountered during fabric manufacturing, especially if low-cost is required. The topic of this work is defined as “using variable homography to measure protruding fibers on glass fiber fabric”, which aims at developing a camera-based prototype, in order to be, in the future, adapted for online fabric 3-D monitoring and measurement.
Understand the fundamental factors of data storage system performance and master an essential analytical skill using block trace via applications such as MATLAB and Python tools. You will increase your productivity and learn the best techniques for doing specific tasks (such as analyzing the IO pattern in a quantitative way, identifying the storage system bottleneck, and designing the cache policy). In the new era of IoT, big data, and cloud systems, better performance and higher density of storage systems has become crucial. To increase data storage density, new techniques have evolved and hybrid and parallel access techniques-together with specially designed IO scheduling and data migration algorithms-are being deployed to develop high-performance data storage solutions. Among the various storage system performance analysis techniques, IO event trace analysis (block-level trace analysis particularly) is one of the most common approaches for system optimization and design. However, the task of completing a systematic survey is challenging and very few works on this topic exist. Block Trace Analysis and Storage System Optimization brings together theoretical analysis (such as IO qualitative properties and quantitative metrics) and practical tools (such as trace parsing, analysis, and results reporting perspectives). The book provides content on block-level trace analysis techniques, and includes case studies to illustrate how these techniques and tools can be applied in real applications (such as SSHD, RAID, Hadoop, and Ceph systems). What You'll Learn: Understand the fundamental factors of data storage system performance Master an essential analytical skill using block trace via various applications Distinguish how the IO pattern differs in the block level from the file level Know how the sequential HDFS request becomes "fragmented" in final storage devices Perform trace analysis tasks with a tool based on the MATLAB and Python platforms
Dendrites, Fingers, Cells and Free Boundaries
This comprehensive work delves into interfacial instability and pattern formation in dynamic systems away from equilibrium, focusing on solidification and crystal growth. The significantly expanded 2nd edition reviews progress made over the last two decades, detailing prominent pattern formation phenomena observed in material processing and crystal growth through the lens of interfacial wave theory. Key topics include free dendritic growth from undercooled melt, cellular growth, eutectic growth in directional solidification, and viscous fingering in Hele-Shaw flow. The text systematically derives mathematical solutions using a unified, asymptotic approach and examines these results against available experimental data. This approach is applicable to a broader range of inhomogeneous dynamical systems. Additionally, findings on global stability and selection mechanisms of pattern formation will interest researchers in material processing and crystal growth. The stability mechanisms of curved fronts and pattern formation are fundamental in condensed-matter physics, materials science, crystal growth, and fluid mechanics. This work serves as a stimulating introduction for physicists, engineers, and applied mathematicians in soft condensed-matter physics, materials science, mechanical and chemical engineering, fluid dynamics, and nonlinear sciences.
How do weak activists organize under repression? This book theorizes a dynamic of contention called mobilizing without the masses.
The Roots & Soul of the Chinese People is an attempt to connect the dots between the 'socialist core values' drawing on Marxism promoted by the Communist Party of China today with China's long cultural heritage.
Parallel, Partial, and Non-Parallel Alternatives
Focusing on ordered regression models, this book delves into cumulative, stage, and adjacent classes, along with variations influenced by the parallel regression assumption. It emphasizes the benefits of using ordered regression for analyzing ordinal outcomes compared to linear and binary models. Additionally, the text provides guidance on interpreting and presenting results, supported by empirical examples from the social and behavioral sciences, making it a valuable resource for researchers in these fields.