A telling analysis of the formation and evolution of modern Chinese intellectual masculinities. After its doors were forced open by the Opium Wars in the late Qing dynasty, China faced a crisis of masculinity that converged with its national crisis. The power of physical aggression increasingly overshadowed literary attainments and became a new imperative of male honor in early Republican China. Afflicted with anxiety about their increasingly effeminate image as perceived by Western colonial powers, Chinese intellectuals strategically distanced themselves from the old literati and reassessed their positions vis- -vis violence. In Mastery of Words and Swords, Jun Lei explores the formation and evolution of modern Chinese intellectual masculinities as constituted in racial, gender, and class discourses mediated by the West and Japan. To fully reveal the evolving masculine models of a "scholar-warrior," this book employs an innovative methodology that combines theoretical rigor, archival research, and analysis of literary texts and visual objects. Situating the changing gender relations in modern Chinese history and culture, the book engages critically with male subjectivity concerning other pivotal issues such as semi-coloniality, psychoanalysis, modern love, feminism, and urbanization.
This book is an exposition on the interesting interplay between topological dynamics and the theory of C*-algebras. Researchers working in topological dynamics from various fields in mathematics are becoming more and more interested in this kind of algebraic approach of dynamics. This book is designed to present to the readers the subject in an elementary way, including also results of recent developments.
In 1954, Alston S. Householder published Principles of Numerical Analysis, one of the first modern treatments on matrix decomposition that favored a (block) LU decomposition-the factorization of a matrix into the product of lower and upper triangular matrices. And now, matrix decomposition has become a core technology in machine learning, largely due to the development of the back propagation algorithm in fitting a neural network. The sole aim of this book is to give a self-contained introduction to concepts and mathematical tools in numerical linear algebra and matrix analysis in order to seamlessly introduce matrix decomposition techniques and their applications in subsequent sections. However, we clearly realize our inability to cover all the useful and interesting results concerning matrix decomposition and given the paucity of scope to present this discussion, e.g., the separated analysis of the Euclidean space, Hermitian space, Hilbert space, and things in the complex domain. We refer the reader to literature in the field of linear algebra for a more detailed introduction to the related fields. This book is primarily a summary of purpose, significance of important matrix decomposition methods, e.g., LU, QR, and SVD, and the origin and complexity of the methods which shed light on their modern applications. Most importantly, this article presents improved procedures for most of the calculations of the decomposition algorithms which potentially reduce the complexity they induce. Again, this is a decomposition-based context, thus we will introduce the related background when it is needed and necessary. In many other textbooks on linear algebra, the principal idea
A major determinant of the primary distribution of national income, wages will have tremendous impacts on both social equity and economic efficiency in China. Wages in China: An Economic Analysis presents the latest research results on the transformation of China's wages formation mechanism since the adoption of the Reform and Opening Up policy. This 3-volume series looks at the impact from the institutional evolution of the wage system, social networks, and geographical factors on the determination of wages. After reviewing the history of China's wage policies and systematic transformation, the author examines the collective negotiation system as an example of institutional changes to explore the impacts on employees' wages, and does an empirical study on the shrinkage in labor's share of national income by using industrial and provincial data. Based on the discussion of local policy-making decisions under fiscal federalism in China, the author also analyzes the regional wage differences with economic geographical and regional policy variances. The perspective of inter-industrial wage spillover is also followed to explain the wage differences and convergence paradox.
Did you know that God's Word is living and active? Put it into practice and your life will be attractive. From the moment you wake till you lay down in bed, Let's go through our day remembering what Jesus said. Putting God's Word into Practice will inspire your children to see just how involved God is and wants to be - in their lives. It's an opportunity to teach them from a young age that their Creator is with them and watching over therm, 24 hours a day.
Level up from basic SQL to advanced, analytics-grade data analysis and use real PostgreSQL datasets, modern features, and practical business scenarios to turn raw data into clear, actionable insights. Key Features Solve real business problems with advanced SQL techniques Work with time-series, geospatial, and text data using PostgreSQL Build job-ready data analysis skills with hands-on SQL projects Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionSQL remains one of the most essential tools for modern data analysis and mastering it can set you apart in a competitive data landscape. This book helps you go beyond basic query writing to develop a deep, practical understanding of how SQL powers real-world decision-making. SQL for Data Analytics, Fourth Edition, is for anyone who wants to go beyond basic SQL syntax and confidently analyze real-world data. Whether you're trying to make sense of production data for the first time or upgrading your analytics toolkit, this book gives you the skills to turn data into actionable outcomes. You'll start by creating and managing structured databases before advancing to data retrieval, transformation, and summarization. From there, you’ll take on more complex tasks such as window functions, statistical operations, and analyzing geospatial, time-series, and text data. With hands-on exercises, case studies, and detailed guidance throughout, this book prepares you to apply SQL in everyday business contexts, whether you're cleaning data, building dashboards, or presenting findings to stakeholders. By the end, you'll have a powerful SQL toolkit that translates directly to the work analysts do every day. What you will learn Write SQL Queries to explore and analyze structured data. Use JOINs, subqueries, views, and CTEs to build analytics-ready datasets Apply window functions to identify trends, patterns, and cohort behavior Perform statistical analysis and hypothesis testing directly in SQL Analyze JSON, arrays, text, geospatial, and time-series data Improve SQL performance with indexing strategies and query plan optimization Load data with Python and automate analytics workflows Complete a full case study simulating a real-world data analysis project Who this book is forThis book is for aspiring and early-career data analysts, data engineers, backend developers, business analysts, and students who want to apply SQL to real-world data analytics. You should have basic SQL familiarity and college-level math knowledge, along with the desire to advance toward analytics-grade SQL, data transformation, pattern discovery, and business insight generation.
17-year-old high school student Akira Tachibana is a girl who barely expresses herself. She harbors a secret crush on Masami Kondō, a 45-year-old manager of the restaurant she works at part-time. Akira Tachibana is a soft-spoken high school student who used to be a part of the track and field club but, due to an injury, she is no longer able to run as fast as she once could. Working part-time at a family restaurant as a recourse, she finds herself inexplicably falling in love with her manager, a divorced 45-year-old man with a young son. Despite the age gap, Akira wholeheartedly embraces his mannerisms and kind nature, which is seen as spinelessness by the other employees, and little by little, the two begin to understand each other. Although unable to explain why exactly she is attracted to him, Akira believes that a concrete reason is not needed to truly love someone. On a rainy day, she decides to finally tell her manager about how she feels... but just how will he react?
This book revises and expands upon the prior edition of Multi-Modal Face Presentation Attack Detection. The authors also discuss the reasons that cause face anti-spoofing to be essential for preventing security breaches in face recognition systems.
An up-to-date and accurate discussion of spiking neural P systems in time series analysis In Spiking Neural P Systems for Time Series Analysis, the authors explore the fundamentals and the current states of both spiking neural P systems and time series analysis, examining the application models of time series analysis. You’ll also find walkthroughs of recurrent-like, echo-like, and reservoir computing models for time series prediction. The book covers applications in time series analysis such as financial time series analysis, power load forecasting, photovoltaic power forecasting, and medical signal processing, and contains illustrative photographs and tables designed to improve reader understanding. Readers will also find: A thorough introduction to the theoretical and application research relevant to membrane computing and spiking P neural systems Comprehensive explorations of a variety of recurrent-like models for time series forecasting, including LSTM-SNP and GSNP models Practical discussions of common problems in reservoir computing models, including classification problems Complete evaluations of models used in financial time series analysis, power load forecasting, and other techniques Perfect for scientists, researchers, postgraduates, lecturers, and teachers, Spiking Neural P Systems for Time Series Analysis will also benefit undergraduate students interested in advanced techniques for time series analysis.
