This book features the major research advances on integrated networking, caching, and computing. Information-centric networking-based caching is one of the promising techniques for future networks. The cloud computing paradigm has been widely adopted to enable convenient, on-demand network access to a shared pool of configurable computing resources. In addition, fog/edge computing is proposed to deploy computing resources closer to end devices. From the perspective of applications, network, cache and compute are underlying enabling resources. How to manage, control and optimize these resources can have significant impacts on application performance.

This book constitutes the refereed proceedings of the 9thInternational Conference on Cloud Computing, CloudComp 2019, and the 4th International Conference on Smart Grid and Innovative Frontiers in Telecommunications, SmartGIFT 2019, both held in Beijing, China, in December 2019. The55 full papers of both conferences were selected from 113 submissions. CloudComp 2019 presents recent advances and experiences in clouds, cloud computing and related ecosystems and business support. The papers are grouped thematically in tracks on cloud architecture and scheduling; cloud-based data analytics; cloud applications; and cloud security and privacy. SmartGIFT 2019 focus on all aspects of smart grids and telecommunications, broadly understood as the renewable generation and distributed energy resources integration, computational intelligence applications, information and communication technologies.

This volume introduces the reader to the latest experimental and bioinformatics methods for DNA sequencing, RNA sequencing, cell-free tumour DNA sequencing, single cell sequencing, single-cell proteomics and metabolomics. Chapters detail advanced analysis methods, such as Genome-Wide Association Studies (GWAS), machine learning, reconstruction and analysis of gene regulatory networks and differential coexpression network analysis, and gave a practical guide for how to choose and use the right algorithm or software to handle specific high throughput data or multi-omics data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Computational Systems Biology: Methods and Protocols aims to ensure successful results in the further study of this vital field.

This book features the major research advances on integrated networking, caching, and computing. Information-centric networking-based caching is one of the promising techniques for future networks. The cloud computing paradigm has been widely adopted to enable convenient, on-demand network access to a shared pool of configurable computing resources. In addition, fog/edge computing is proposed to deploy computing resources closer to end devices. From the perspective of applications, network, cache and compute are underlying enabling resources. How to manage, control and optimize these resources can have significant impacts on application performance.

This book analyzes liquid biopsy applications in cancer and other diseases. Chapters guide readers through the latest technologies and analysis methods for liquid biopsy,liquid biopsy in cancer, role of liquid biopsies in rheumatoid arthriti, cell-free circulating DNA profiling in patients with skin diseases, circulating non-coding RNAs, and exomes. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols.   Authoritative and cutting-edge, Liquid Biopsies: Methods and Protocols aims to attract more researchers and clinicians to study the diagnosis, immunotherapy, and prognosis of cancer and other diseases with liquid biopsy analysis.

TAOISM / EASTERN PHILOSOPHYFor over 2,500 years the words of the Tao Te Ching, the primary scripture of Laoism and Taoism, have been regarded as among the greatest treasures of the world. Lao Tzu, whose name means "the ancient child," wrote these essential verses that have both confounded and conferred blessings on humankind. Now Taoist masters Mantak Chia and Tao Huang guide readers through the origins of this philosophy, the meaning behind its 5,000 pictographs, and the way of living that generations have followed.While the text of the Tao Te Ching has been passed down in literary form for generations, the essence of the text can be understood only through heart awakening--a true integration of body and mind--made possible with the insights and exercises in this book. The authors analyze Lao Tzu's teachings, line by line, and offer meditations, interpretations, and energy cultivation practices that illuminate the true meaning of this classic text.A student of several Taoist masters, MANTAK CHIA founded the Healing Tao System in North America in 1979 and developed it worldwide as European Tao Yoga and Universal Healing Tao. He has taught and certified tens of thousands of students and instructors from all over the world and tours the United States annually, giving workshops and lectures. He is the director of the Tao Garden Health Spa and Resort training center in northern Thailand and the author of twenty-five books, including the bestselling "The Multi-Orgasmic Man." TAO HUANG was born in Dingxi in Northwest China. In 1990 he came to the United States to present the teachings of Laoism and the practices of Taoism. He is the author of "Laoism: The Complete Teachings of Lao Zi."

This compendium provides a self-contained introduction to mathematical analysis in the field of machine learning and data mining. The mathematical analysis component of the typical mathematical curriculum for computer science students omits these very important ideas and techniques which are indispensable for approaching specialized area of machine learning centered around optimization such as support vector machines, neural networks, various types of regression, feature selection, and clustering. The book is of special interest to researchers and graduate students who will benefit from these application areas discussed in the book.