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A comprehensive text on foundations and techniques of graph neural networks with applications in NLP, data mining, vision and healthcare.
Molecular Biology of Assemblies and Machines provides a comprehensive narrative of the ways in which macromolecular structures assemble and how they interact with other complexes and organelles in the cell. Richly illustrated in full color, the text is written for advanced undergraduates, graduate students, and researchers in biochemistry, molecular biology, biophysics, cell biology, chemistry, structural biology, immunology, microbiology, and medicine.
Keeping up to date with advances in material science and applied engineering is essential for those working in the field if they are to understand and tackle the challenges they face in an efficient manner and adopt the best and most appropriate solutions available. This book presents the proceedings of MMSE 2022, the 8th International Conference on Advances in Machinery, Materials Science and Engineering Application, held as a hybrid event (both in-person and online) in Wuhan, China, on 23 and 24 July 2022. For the past 12 years, the MMSE international conferences have collated recent advances and experiences, identified emerging trends in technology and encouraged lively debate between stu...
An increasing number of studies suggest that the abnormality of substance and energy metabolism of tumor cells is among the unsolved complex pathological mechanism problems in malignant tumor. The abnormal metabolism of substance and energy in tumor cells is not only the cause of occurrence and development of malignant tumors, but also the concrete embodiment of their pathological changes. Substance and energy metabolism of tumor cells largely depends on neuroendocrine regulation, so it is of great scientific and clinical significance to analyze its regulatory mechanism. The imbalance of material and energy metabolism of tumor cells is one of the major causes for the occurrence and developme...
This book starts from the classic recommendation algorithms, introduces readers to the basic principles and main concepts of the traditional algorithms, and analyzes their advantages and limitations. Then, it addresses the fundamentals of deep learning, focusing on the deep-learning-based technology used, and analyzes problems arising in the theory and practice of recommender systems, helping readers gain a deeper understanding of the cutting-edge technology used in these systems. Lastly, it shares practical experience with Microsoft 's open source project Microsoft Recommenders. Readers can learn the design principles of recommendation algorithms using the source code provided in this book, allowing them to quickly build accurate and efficient recommender systems from scratch.
Causal Inference in Pharmaceutical Statistics introduces the basic concepts and fundamental methods of causal inference relevant to pharmaceutical statistics. This book covers causal thinking for different types of commonly used study designs in the pharmaceutical industry, including but not limited to randomized controlled clinical trials, longitudinal studies, singlearm clinical trials with external controls, and real-world evidence studies. The book starts with the central questions in drug development and licensing, takes the reader through the basic concepts and methods via different study types and through different stages, and concludes with a roadmap to conduct causal inference in cl...
Xia Wan traveled into the book and became cannon fodder in the period novel "The Little Military Wife of the 1980s". The Buddhist Xia Wan doesn't want to buy a house or do business, he just wants to live a good life in Xiajiazhuang. But she accidentally got on the big boss's good side, married the heroine's elder brother, and became the heroine's sister-in-law. She has three older brothers at home who provide her with solid support. It's true that when luck comes, it can't be stopped.
This book and its companion volumes, LNCS vols. 5551, 5552 and 5553, constitute the proceedings of the 6th International Symposium on Neural Networks (ISNN 2009), held during May 26–29, 2009 in Wuhan, China. Over the past few years, ISNN has matured into a well-established premier international symposium on neural n- works and related fields, with a successful sequence of ISNN symposia held in Dalian (2004), Chongqing (2005), Chengdu (2006), Nanjing (2007), and Beijing (2008). Following the tradition of the ISNN series, ISNN 2009 provided a high-level inter- tional forum for scientists, engineers, and educators to present state-of-the-art research in neural networks and related fields, and...
Selected, peer reviewed paper from 2012 2nd International Conference on Materials Engineering for Advanced Technologies (ICMEAT 2012), December 27-28, 2012, Xiamen, China
Selected, peer reviewed papers from the 2014 International Conference on Energy and Environmental Protection (ICEEP 2014), April 26-28, 2014, Xi'an, China