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Angiogenesis in Inflammation : Mechanisms and Clinical Correlates
This volume relates the lessons learned from tumour biology applied to inflammation. This issue of Angiogenesis in Inflammation: Mechanisms and Clinical Correlates develops current knowledge on the mechanisms at the molecular and cellular levels as they relate to inflammation, including acute and chronic inflammation, neurogenic initiation, and the role of the multiple cellular components that comprise inflammation: granulocytes, macrophages, fibroblasts, dendritic cells and lymphocytes. This is related to inflammatory disease: not only the familiar angiogenesis dependent diseases of rheumatoid arthritis and psoriasis, but also loci such as the lung, gastric ulcers, the eye with uveitis, wound healing and periodontal disease and their therapy, how this knowledge may be used in the discovery of novel therapeutics. The volume brings together experts in each of these fields to link the molecular and cellular processes in angiogenesis to those of inflammation and disease, culminating in a discourse on areas for future therapies.
Ambient Intelligence ; European Conference, AmI 2007, Darmstadt, Germany, November 7-10, 2007, Proceedings
This book presented sections on mobility and sensing, applications of AmI, activity and location sensing, AmI and artificial intelligence, AmI middleware and infrastructure, and interaction with the environment. The book is rounded off by a section on case studies and lessons learned, presenting a high level selection of current research reports and papers that reflect the most important activities of current ambient intelligence research.
Advances in Big Data Analytics : Theory, Algorithms and Practices
Provides a comprehensive and cutting-edge study on big data analytics, based on the research findings and applications developed by the author and his colleagues in related areas. It addresses the concepts of big data analytics and/or data science, multi-criteria optimization for learning, expert and rule-based data analysis, support vector machines for classification, feature selection, data stream analysis, learning analysis, sentiment analysis, link analysis, and evaluation analysis. The book also explores lessons learned in applying big data to business, engineering and healthcare. Lastly, it addresses the advanced topic of intelligence-quotient (IQ) tests for artificial intelligence.
Acid in the Environment : Lessons Learned and Future Prospects
This book is the result of a conference held biannually at the Goodwin-Niering Center for Conservation Biology and Environmental Studies at Connecticut College.is a collection of essays that blends the research findings and the policy analyses of individuals from different academic disciplines with the positions advanced by representatives of NGOs. Acid in the Environment: Lessons Learned and Future Prospects presents a broad approach to the study of acid deposition, exposing readers with a scientific background to significant policy issues and those with a policy orientation to important ecological impacts. The book raises important questions that will serve as a springboard for discussion between diverse groups of teachers and students, concerned citizens and legislators, and scientists and policy makers.
