Kirjahaku

The chemistry, physics, and applications of liquid crystals beyond LCDs Liquid Crystals (LCs) combine order and mobility on a molecular and supramolecular level. But while these remarkable states of matter are most commonly associated with visual display technologies, they have important applications for a variety of other fields as well. Liquid Crystals Beyond Displays: Chemistry, Physics, and Applications considers these, bringing together cutting-edge research from some of the most promising areas of LC science. Featuring contributions from respected researchers from around the globe, this edited volume emphasizes the chemistry, physics, and applications of LCs in areas such as photovoltaics, light-emitting diodes, filed-effect transistors, lasers, molecular motors, nanophotonics and biosensors. Specific chapters look at magnetic LCs, lyotropic chromonic LCs, LC-based chemical sensors, LCs in metamaterials, and much more. Introducing readers to the fundamentals of LC science through the use of illustrative examples, Liquid Crystals Beyond Displays covers not only the most recent research in the myriad areas in which LCs are being utilized, but also looks ahead, addressing potential future developments. Designed for physicists, chemists, engineers, and biologists working in academia or industry, as well as graduate students specializing in LC technology, this is the first book to consider LC applications across a wide range of fields.

Statistical analysis is common in the social sciences, and among the more popular programs is R. This book provides a foundation for undergraduate and graduate students in the social sciences on how to use R to manage, visualize, and analyze data. The focus is on how to address substantive questions with data analysis and replicate published findings. Using R for Data Analysis in Social Sciences adopts a minimalist approach and covers only the most important functions and skills in R to conduct reproducible research. It emphasizes the practical needs of students using R by showing how to import, inspect, and manage data, understand the logic of statistical inference, visualize data and findings via histograms, boxplots, scatterplots, and diagnostic plots, and analyze data using one-sample t-test, difference-of-means test, covariance, correlation, ordinary least squares (OLS) regression, and model assumption diagnostics. It also demonstrates how to replicate the findings in published journal articles and diagnose model assumption violations. Because the book integrates R programming, the logic and steps of statistical inference, and the process of empirical social scientific research in a highly accessible and structured fashion, it is appropriate for any introductory course on R, data analysis, and empirical social-scientific research.

Statistical analysis is common in the social sciences, and among the more popular programs is R. This book provides a foundation for undergraduate and graduate students in the social sciences on how to use R to manage, visualize, and analyze data. The focus is on how to address substantive questions with data analysis and replicate published findings. Using R for Data Analysis in Social Sciences adopts a minimalist approach and covers only the most important functions and skills in R to conduct reproducible research. It emphasizes the practical needs of students using R by showing how to import, inspect, and manage data, understand the logic of statistical inference, visualize data and findings via histograms, boxplots, scatterplots, and diagnostic plots, and analyze data using one-sample t-test, difference-of-means test, covariance, correlation, ordinary least squares (OLS) regression, and model assumption diagnostics. It also demonstrates how to replicate the findings in published journal articles and diagnose model assumption violations. Because the book integrates R programming, the logic and steps of statistical inference, and the process of empirical social scientific research in a highly accessible and structured fashion, it is appropriate for any introductory course on R, data analysis, and empirical social-scientific research.

This book focuses on the exciting topic on self-organized organic semiconductors – from materials to device applications. It offers up-to-date and accessible coverage of self-organized semiconductors for organic chemistry, polymer science, liquid crystals, materials science, material engineering, electrical engineering, chemical engineering, optics, optic-electronics, nanotechnology and semiconductors. Chapters cover chemistry, physics, processing, and characterization. The applications include photovoltaics, light-emitting diodes (LEDs), and transistors.

This book offers a critical assessment of governance ideas in the context of Chinese neoliberalism. It argues that the Chinese version of governance has emerged as an important discursive practice in the articulation of the neoliberal spirit of the national reform agenda. The book first examines the institutional and intellectual background of governance ideas, capturing the key features of neoliberalization in transitional China. The main body of investigation is an interpretive analysis of governance in terms of its normative principles and technical skills, which effectively package the mature neoliberal vision and reality so that it indicates the dominant ruling structure of Chinese neoliberalism. The subsequent analysis presents a genealogical review of governance discourse and traces its adaptation to local neoliberal experiments. The book concludes with reflections on possible ways of critical engagement with governance ideas and with the intellectual aspects of neoliberalism.

This book offers a critical assessment of governance ideas in the context of Chinese neoliberalism. It argues that the Chinese version of governance has emerged as an important discursive practice in the articulation of the neoliberal spirit of the national reform agenda. The book first examines the institutional and intellectual background of governance ideas, capturing the key features of neoliberalization in transitional China. The main body of investigation is an interpretive analysis of governance in terms of its normative principles and technical skills, which effectively package the mature neoliberal vision and reality so that it indicates the dominant ruling structure of Chinese neoliberalism. The subsequent analysis presents a genealogical review of governance discourse and traces its adaptation to local neoliberal experiments. The book concludes with reflections on possible ways of critical engagement with governance ideas and with the intellectual aspects of neoliberalism.