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At the age of twelve, I took the vows of a novice under Venerable Master Sheng Yen at the Chung-Hwa Institute of Buddhist Culture in Beitou, Taipei. Thus, I became his disciple, and he became my “shifu,” my teacher. When Shifu was in solitary retreat in Meinong, in Gaoxiong County, Taiwan, and later studying for his doctorate in Japan, I lived and studied with Grandmaster Dongchu. Dongchu was at one time abbot of the large Dinghui Monastery of Jiaoshan in Jiangsu province, China. Originally called Puji Monastery, Dinghui was established in the second century during the Eastern Han Dynasty. Even while he was at Dinghui, Dongchu was renowned for his imposing demeanor. Master Sheng Yen reca...
Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics An in-depth look at the latest research, methods, and applications in the field of protein bioinformatics This book presents the latest developments in protein bioinformatics, introducing for the first time cutting-edge research results alongside novel algorithmic and AI methods for the analysis of protein data. In one complete, self-contained volume, Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics addresses key challenges facing both computer scientists and biologists, arming readers with tools and techniques for analyzing and interpreting protein data and solving a variety of biological pr...
Learn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics and medical image processing Emphasizing applications in bioinformatics and medical image processing, this text offers a clear framework that enables readers to take advantage of the latest rough-fuzzy computing techniques to build working pattern recognition models. The authors explain step by step how to integrate rough sets with fuzzy sets in order to best manage the uncertainties in mining large data sets. Chapters are logically organized according to the major phases of pattern recognition systems development, making it easier to master such tasks as classification, clustering, and feature selection....
This book explores in depth the relation between physical activity and cancer control, including primary prevention, coping with treatments, recovery after treatments, long-term survivorship, secondary prevention, and survival. The first part of the book presents the most recent research on the impact of physical activity in preventing a range of cancers. In the second part, the association between physical activity and cancer survivorship is addressed. The effects of physical activity on supportive care endpoints (e.g., quality of life, fatigue, physical functioning) and disease endpoints (e.g., biomarkers, recurrence, survival) are carefully analyzed. In addition, the determinants of physical activity in cancer survivors are discussed, and behavior change strategies for increasing physical activity in cancer survivors are appraised. The final part of the book is devoted to special topics, including the relation of physical activity to pediatric cancer survivorship and to palliative cancer care.
It is well established that the tumor microenvironment(TME) plays a pivotal role in tumor initiation, progression and therapeutic resistance by creating a dynamic interaction with cancer cells. TME is comprised of extracellular matrix (ECM), growth factors, nutrients, blood and lymphatic vessels, and non-cancer stromal cells, which serve as a sustained niche for cancer cells to proliferate and metastasize. Notably, various cellular components in TME, including endothelial cells, fibroblasts, pericytes, adipocytes, immune cells, cancer stem cells, and vasculature, could promote tumor’s immune evasion and growth.
This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field, and provides related problems. It also succeeds where other titles have failed, in offering a wide range of information from the introductory fundamentals right up to the latest, most advanced levels of study.
Presents algorithmic techniques for solving problems in bioinformatics, including applications that shed new light on molecular biology This book introduces algorithmic techniques in bioinformatics, emphasizing their application to solving novel problems in post-genomic molecular biology. Beginning with a thought-provoking discussion on the role of algorithms in twenty-first-century bioinformatics education, Bioinformatics Algorithms covers: General algorithmic techniques, including dynamic programming, graph-theoretical methods, hidden Markov models, the fast Fourier transform, seeding, and approximation algorithms Algorithms and tools for genome and sequence analysis, including formal and ...
An introduction to biological networks and methods for their analysis Analysis of Biological Networks is the first book of its kind to provide readers with a comprehensive introduction to the structural analysis of biological networks at the interface of biology and computer science. The book begins with a brief overview of biological networks and graph theory/graph algorithms and goes on to explore: global network properties, network centralities, network motifs, network clustering, Petri nets, signal transduction and gene regulation networks, protein interaction networks, metabolic networks, phylogenetic networks, ecological networks, and correlation networks. Analysis of Biological Networ...
This book provides comprehensive coverage on the concepts, frameworks, and underpinning technologies in most aspects of the Internet of Things (IoT), and presents them as the foundation on which more advanced topics, such as 5G and mMTC/M2M, Edge/cloud computing and the modalities of Tactile IoT, Industrial IoT (IIoT)/Industry 4.0, Satellite IoT, and Digital Twins (DT), could be built upon.A key feature of the book is the chapter that focuses on security and privacy for individuals and IoT/ Industry 4.0 are discussed.This book is a good reference guide for researchers, developers, integrators and stakeholders working on research in or development of IoT, particularly where open-source software are deployed.