The American Heart Association wants all students and educators to learn CPR, putting more qualified lifesavers in our communities. The easy-to-use CPR in Schools Training Kit is designed precisely for educational environments and can be facilitated by anyone.
Yu Y, Lee C, Kim J et al Group-specific primer and probe sets to detect methanogenic communities using quantitative real-time polymerase chain reaction. Mitsuhashi M Technical report: Part 1. Basic requirements for designing optimal oligonucleotide probe sequences. Biotechniques — PubMed Google Scholar. In: Rochelle PA ed Environmental molecular microbiology: protocols and applications. Linhart C, Shamir R The degenerate primer design problem: theory and applications.
Biorad qPCR assay design and optimization. Accessed 24 Oct Database bar Comp Funct Genomics Applied Biosystems Primer Express software version 3. Accessed 10 Jan Zuker M Mfold web server for nucleic acid folding and hybridization prediction. He leads the dendroecology and forest ecology group at this institution where he has established both national and international networks of collaborating colleagues.
His main research interests include understanding the growth, mortality and recruitment patterns reflecting processes in woody plant communities, particularly forests. Chechu uses dendrochronology to understand how trees react to multiple environmental drivers such as climatic stressors drought , rising atmospheric CO 2 concentrations or biotic agents fungi, insects and mistletoe. Skip to main content Skip to table of contents. Advertisement Hide. This service is more advanced with JavaScript available.
Editors view affiliations Mariano M. Amoroso Lori D. Daniels Patrick J. Baker J. Julio Camarero. This book fills a knowledge gap by addressing dendroecology, an important and fast-growing subdiscipline of dendrochronology The ecological lessons that dendrochronological studies provide are fundamental to improving existing forest management strategies and developing new ones in the face of global change The application of tree-ring analyses has emerged as a powerful approach to address complex ecological questions and to quantify environmental change through time The book is designed to include four broad topical themes, represent forests from around the globe and introduce new fields or applications not explored in previous books.
Front Matter Pages i-xx. Mariano M. Blair-Goldensohn, K. McKeown, and A. Defscriber: a hybrid system for definitional qa. Blei, T. Griffiths, M. Jordan, and J. Hierarchical topic models and the nested chinese restaurant process. Carbonell and J. The use of mmr, diversity-based rerunning for reordering documents and producing summaries. Carenini, R. Ng, and X. Summarizing email conversations with clue words.
In Proceedings of the international conference on World Wide Web , pages 91—, Celikyilmaz and D. A hybrid hierarchical model for multi document summarization.
Chali, S. Hasan, and S. Do automatic annotation techniques have any impact on supervised complex question answering? Chali and S. Improving the performance of the random walk model for answering complex questions. Conroy and D.
Text summarization via hidden markov models. Conroy, J. Schlesinger, and D. Topic-focused multidocument summarization using an approximate oracle score. In Proceedings of the International Conference on Computational Linguistics and the annual meeting of the Association for Computational Linguistics , pages —, Copeck and S.
Leveraging pyramids. In Proceedings of the Document Understanding Conference , Bayesian query-focused summarization. Deerwester, S. Dumais, G. Furnas, T. Landauer, and R. Indexing by latent semantic analysis. Journal of the American Society for Information Science , pages —, Delort, B.
Bouchon-Meunier, and M. Enhanced web document summarization using hyperlinks. Donaway, K. Drummey, and L. A comparison of rankings produced by summarization evaluation measures.
Accurate methods for the statistics of surprise and coincidence. Computational Linguistics , 19 1 —74, New methods in automatic extracting. Journal of the ACM , 16 2 —, Elhadad, M. Kan, J. Klavans, and K. Customization in a unified framework for summarizing medical literature. Journal of Artificial Intelligence in Medicine , —, CrossRef Google Scholar. Erkan and D. Lexrank: Graph-based centrality as salience in text summarization. Journal of Artificial Intelligence Research , Filatova and V.
A formal model for information selection in multi-sentence text extraction. Fuentes, E. Alfonseca, and H. Support vector machines for query-focused summarization trained and evaluated on pyramid data. Fung and G. One story, one flow: Hidden markov story models for multilingual multidocument summarization. Furui, M. Hirohata, Y. Shinnaka, and K.
Sentence extraction-based automatic speech summarization and evaluation techniques. A skip-chain conditional random field for ranking meeting utterances by importance. Galley and K. Improving word sense disambiguation in lexical chaining.
In Proceedings of the international joint conference on Artificial intelligence , pages —, Gillick, K. Riedhammer, B. Favre, and D. A global optimization framework for meeting summarization. Gong and X. Generic text summarization using relevance measure and latent semantic analysis. Gupta, A. Nenkova, and D. Measuring importance and query relevance in topic-focused multi-document summarization. Hachey, G. Murray, and D. Dimensionality reduction aids term co-occurrence based multi-document summarization.
Haghighi and L. Exploring content models for multi-document summarization. Hakkani-Tur and G. Statistical sentence extraction for information distillation.
0コメント