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Low-Temperature Plasma Chemical Engineering bridges the gap between the plasma and chemical engineering communities. It includes principles and mechanisms of plasma process intensification, novel plasma reactor and process design, and process optimization. The book highlights various plasma chemical processes, such as oxidation of volatile organic compounds (VOCs), methane reforming, CO2 conversion, and biomass tar reforming. It also discusses nitrogen fixation, plasma agriculture, and plasma biotechnology. The book further explores advanced oxidation processes, organic synthesis in microchannel reactors, electrostatic precipitation, plasma pyrolysis of coal into acetylene, synthesis of nanomaterials and ultrafine powders, and solid waste treatment.It brings together state-of-the-art research and development in advanced low-temperature plasma chemical engineering technologies. It also addresses challenges and future perspectives in this emerging area. Low-Temperature Plasma Chemical Engineering is a valuable resource for scientists, engineers, technicians, and students from various research backgrounds, including plasma physics, plasma chemistry, chemical engineering, energy engineering, materials science and engineering, environmental engineering, and electrical engineering.

This volume covers classic as well as cutting-edge topics on the analysis of clinical trial data in biomedical and psychosocial research and discusses each topic in an expository and user-friendly fashion. The intent of the book is to provide an overview of the primary statistical and data analytic issues associated with each of the selected topics, followed by a discussion of approaches for tackling such issues and available software packages for carrying out analyses. While classic topics such as survival data analysis, analysis of diagnostic test data and assessment of measurement reliability are well known and covered in depth by available topic-specific texts, this volume serves a different purpose: it provides a quick introduction to each topic for self-learning, particularly for those who have not done any formal coursework on a given topic but must learn it due to its relevance to their multidisciplinary research. In addition, the chapters on these classic topics will reflect issues particularly relevant to modern clinical trials such as longitudinal designs and new methods for analyzing data from such study designs.

The coverage of these topics provides a quick introduction to these important statistical issues and methods for addressing them. As with the classic topics, this part of the volume on modern topics will enable researchers to grasp the statistical methods for addressing these emerging issues underlying modern clinical trials and to apply them to their research studies.