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Papers: characterization of inducible nitric oxide synthase expression in human airway epithelium; nitric oxide and its congeners in mitochondria; role of nitric oxide in inflammation and tissue injury during endotoxemia and hemorrhagic shock; nitric oxide and peroxynitrite production in ocular inflammation; 5 papers on pulmonary/pollutant effects; 6 papers on oxidants and signal transduction, including impact of oxidative stress on signal transduction control by phosphotyrosine phosphatases; the nature of antioxidant defense mechanisms; lipid peroxidation products and antioxidants in human disease; and lung injury and oxidoreductases.
Contains full text for issues from 1996; full text of selected articles for issues from v. 2 (1972).
In the field of knowledge discovery, graphs of concepts are an expressive and versatile modeling technique providing ways to reason about information implicit in a set of data. Interesting examples of this can be found under the mathematical theory of formal concept analysis, dedicated to the construction of a lattice of concepts by defining a Galois connection on a binary relationship. This book present such graph of concepts under the more complex case of data that comes in a set of structured objects; e.g. a set of sequences, trees or graphs. Nodes of this graph will represent patterns in the data and edges will correspond to relationships of specificity. From this combinatorial object results are derived such as a full characterization of logical implications and closed partial orders. The results presented in this book are coupled with examples and empirical experiments that illustrate the derived theoretical contributions.
This book is a significant contribution to the subject of mining time-changing data streams and addresses the design of learning algorithms for this purpose. It introduces new contributions on several different aspects of the problem, identifying research opportunities and increasing the scope for applications. It also includes an in-depth study of stream mining and a theoretical analysis of proposed methods and algorithms. The first section is concerned with the use of an adaptive sliding window algorithm (ADWIN). Since this has rigorous performance guarantees, using it in place of counters or accumulators, it offers the possibility of extending such guarantees to learning and mining algori...
This book constitutes the proceedings of the PAKDD 2009 International Workshops on New Frontiers in Applied Data Mining, held in Bangkok, Thailand in April 2010.
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