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Application of Process Intensification (PI) presents a set of radically innovative principles in process and equipment design, which can bring significant benefits in terms of process efficiency, capital and operating expenses, quality, process safety, and sustainability. Typical approaches in bioprocess intensification are the reduction of the number of production steps, continuous processing, integrated processes, and alternative energy inputs.
In 1935, a Chinese woman by the name of Shi Jianqiao murdered the notorious warlord Sun Chuanfang as he prayed in a Buddhist temple. This riveting work of history examines this well-publicized crime and the highly sensationalized trial of the killer. In a fascinating investigation of the media, political, and judicial records surrounding this cause célèbre, Eugenia Lean shows how Shi Jianqiao planned not only to avenge the death of her father, but also to attract media attention and galvanize public support. Lean traces the rise of a new sentiment—"public sympathy"—in early twentieth-century China, a sentiment that ultimately served to exonerate the assassin. The book sheds new light on the political significance of emotions, the powerful influence of sensational media, modern law in China, and the gendered nature of modernity.
This book mainly focuses on the study of the high-temperature superconductor Bi2Sr2CaCu2O8 by vacuum, ultra-violet, laser-based, angle-resolved photoemission spectroscopy (ARPES). A new form of electron coupling has been identified in Bi2212, which occurs in the superconducting state. For the first time, the Bogoliubov quasiparticle dispersion with a clear band back-bending has been observed with two peaks in the momentum distribution curve in the superconducting state at a low temperature. Readers will find useful information about the technique of angle-resolved photoemission and the study of high-temperature superconductors using this technique. Dr. Wentao Zhang received his PhD from the Institute of Physics at the Chinese Academy of Sciences.
This book consists of papers on the recent progresses in the state of the art in natural computation, fuzzy systems and knowledge discovery. The book is useful for researchers, including professors, graduate students, as well as R & D staff in the industry, with a general interest in natural computation, fuzzy systems and knowledge discovery. The work printed in this book was presented at the 2020 16th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2020), held in Xi'an, China, from 19 to 21 December 2020. All papers were rigorously peer-reviewed by experts in the areas.
This two volume set (CCIS 727 and 728) constitutes the refereed proceedings of the Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017 (originally ICYCSEE) held in Changsha, China, in September 2017. The 112 revised full papers presented in these two volumes were carefully reviewed and selected from 987 submissions. The papers cover a wide range of topics related to Basic Theory and Techniques for Data Science including Mathematical Issues in Data Science, Computational Theory for Data Science, Big Data Management and Applications, Data Quality and Data Preparation, Evaluation and Measurement in Data Science, Data Visualization, Big Data Mi...
This book presents selected papers introducing readers to the key research topics and latest development trends in the theory and application of MMESE. The advanced integrated research topic man-machine-environment system engineering (MMESE) was first established in China by Professor Shengzhao Long in 1981, with direct support from one of the greatest modern Chinese scientists, Xuesen Qian. In a letter to Shengzhao Long from October 22nd, 1993, Xuesen Qian wrote: “You have created a very important modern science and technology in China!” MMESE primarily focuses on the relationship between man, machine and environment, studying the optimum combination of man-machine-environment systems, ...
A new breed of low Earth orbit satellites is making planetary-scale observation and analysis ubiquitous. This book explores how this condition feeds spatially explicit artificial intelligence, GeoAI, in redefining the study of landscapes, and how it impacts one particular land dispute in the Alas Mertajati in Central Bali, Indonesia. This book combines scholarship from the humanities and engineering to forge a novel way of presenting planetary computing in its GeoAI vernacular. From data collection to model evaluation, the book describes how multi-spectral, high-resolution satellite data and machine learning algorithms respond to uncommon land cover conditions, including sustainable land car...
The ovary plays a very significant role in aging. The regenerative capacity of stem cells is the key factor to promote healthy aging, and the stem cell viability would decline sharply after the reproductive period, especially in women. Except for stem cell aging and neuroendocrine aging, ovarian aging is also a hotspot in the field of aging research. Recent researches have investigated many factors affecting ovarian function or aging, in terms of gene mutation, epigenetic erosion, endocrine dysfunction and environment-dependent extrinsic factors. This Research Topic aims to explore in detail all the factors related to ovarian aging and female reproduction outcomes. We'll discuss various age-...