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Annual IEEE Symposium on computer-Based Medical Systems

作者： V. Heck A.v. Wangenheim D.D. Abdala E. Comunello S.S. Costa C.C. Dornelles Computer Science and Statistics Department Universidade Federal de Santa Catarina Florianópolis Santa Catarina Brazil Cyclops Group – Laboratory of Image Processing and Virtual Reality Universidade Federal de Santa Catarina Florianópolis Santa Catarina Brazil Graduate Program in Applied Computer Science Universidade do Vale do Itajaí Florianópolis Santa Catarina Brazil Otitis Media Center of Brazil Universidade Federal do Rio Grande do Sul - Medical School Porto Alegre Rio Grande do Sul Brazil

The following article presents a computational methodology to assist the assessment of tympanic pathologies, particularly chronic otitis media, based on digital otoscopic images. A computational system which implements the methodology is described. This approach does not impose additional effort to the acquisition protocol and diagnosis of tympanic pathologies. In preliminary tests, it has shown precision and easiness of use. The presented methodology and system were tested by the Otitis Media Center of Brazil (***) with a case base of 660 patients, resulting in 1320 bilateral tympanic images.

关键词： Pathology Laboratories Image processing Virtual reality computer science Statistics Biomedical imaging Medical diagnostic imaging Area measurement Protocols

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Dynamic workflow management for P2P environments using agents

Dynamic workflow management for P2P environments using agent...

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7th International Conference on Computational science, ICCS 2007

作者： Pinheiro, Wallace A. Vivacqua, Adriana S. Barros, Ricardo De Mattos, Amanda S. Cianni, Nathalia M. Monteiro Jr., Pedro C. L. De Martino, Rafael N. Marques, Vinícius Xexéo, Geraldo De Souza, Jano M. COPPE/UFRJ Graduate School of Engineering PO Box 68.511 21945-970 - Rio de Janeiro RJ Brazil Dept. of Computer Science Institute of Mathematics Federal University of Rio de Janeiro Brazil PO Box 68.511 21945-970 - Rio de Janeiro RJ Brazil IME Military Institute of Engineering Pr. General Tibúrcio 80 22290-270 - Rio de Janeiro RJ Brazil

ISBN: (纸本)9783540725879

Traditional workflow systems don't handle dynamic scenarios well, as they are centralized and pre-defined at the start of the project. In this paper, we present a P2P framework to support dynamic workflows, which uses contracts to deal with unexpected changes in the flow of activities. DynaFlow is an agent based framework, where agents take action when exceptions occur. DynaFlow could provide adequate support for E-science experiments mapped into workflows instances, with tasks operating in distributed environments and diverse types of computational resources and data. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Information management

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The generation challenge programme platform: Semantic standards and workbench for crop science

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International Journal of Plant Genomics 2008年第1期2008卷 369601页

作者： Bruskiewich, Richard Senger, Martin Davenport, Guy Ruiz, Manuel Rouard, Mathieu Hazekamp, Tom Takeya, Masaru Doi, Koji Satoh, Kouji Costa, Marcos Simon, Reinhard Balaji, Jayashree Akintunde, Akinnola Mauleon, Ramil Wanchana, Samart Shah, Trushar Anacleto, Mylah Portugal, Arllet Ulat, Victor Jun Thongjuea, Supat Braak, Kyle Ritter, Sebastian Dereeper, Alexis Skofic, Milko Rojas, Edwin Martins, Natalia Pappas, Georgios Alamban, Ryan Almodiel, Roque Barboza, Lord Hendrix Detras, Jeffrey Manansala, Kevin Mendoza, Michael Jonathan Morales, Jeffrey Peralta, Barry Valerio, Rowena Zhang, Yi Gregorio, Sergio Hermocilla, Joseph Echavez, Michael Yap, Jan Michael Farmer, Andrew Schiltz, Gary Lee, Jennifer Casstevens, Terry Jaiswal, Pankaj Meintjes, Ayton Wilkinson, Mark Good, Benjamin Wagner, James Morris, Jane Marshall, David Collins, Anthony Kikuchi, Shoshi Metz, Thomas McLaren, Graham Van Hintum, Theo Crop Research Informatics Laboratory International Rice Research Institute (IRRI) DAPO Box 7777 Metro Manila Philippines Crop Research Informatics Laboratory International Maize and Wheat Improvement Center (CIMMYT) DF 06600 Mexico Apdo. Postal 6-641 Mexico Centre International de Recherche Agronomique Pour le Développement (CIRAD) 34398 Montpellier Cedex 5 Avenue Agropolis France Bioversity International 00057 Maccarese (Fiumicino) Rome Via dei Tre Denari 472/a Italy National Institute for Agrobiological Sciences (NIAS) Tsukuba Ibaraki 305-8602 Kannondai 2-1-2 Japan Empresa Brasileira de Pesquisa Agropecuaria (EMBRAPA) Brasilia DF 70770-900 Parque Estaçao Biologia Final W5 Norte Brazil Centro Internacional de la Papa (CIP) Lima 12 Avenida La Molina 1895 La Molina Peru International Crops Research Institute for the Semi-Arid Tropics Patancheru Andhra Pradesh 502324 India International Center for Agricultural Research in the Dry Areas Aleppo P.O. Box 5466 Syrian Arab Republic National Center for Genetic Engineering and Biotechnology 113 Thailand Science Park Klong Luang Pathumthani 12120 Phahonyothin Road Klong 1 Thailand Institute of Computer Science College of Arts and Sciences University of the Philippines Los Banos Laguna 4031 Philippines Department of Computer Science University of the Philippines Melchor Hall Diliman Quezon City 1101 Philippines National Center for Genome Resources Santa Fe NM 87505 2935 Rodeo Park Drive East United States Scottish Crop Research Institute Invergowrie Dundee DD2 5DA United Kingdom Department of Plant Breeding Cornell University Ithaca NY 14853 United States African Centre for Gene Technologies Lynnwood Ridge 0040 P.O. Box 75011 South Africa Department of Medical Genetics Faculty of Medicine University of British Columbia Vancouver BC V6T 1Z3 Canada School of Computing Science Simon Fraser Universtiy Burnaby BC V5A 1S6 8888 University Drive Canada Bioinformatics Graduate Program Genome Sciences Centre BC

The Generation Challenge programme (GCP) is a global crop research consortium directed toward crop improvement through the application of comparative biology and genetic resources characterization to plant breeding. A key consortium research activity is the development of a GCP crop bioinformatics platform to support GCP research. This platform includes the following: (i) shared, public platform-independent domain models, ontology, and data formats to enable interoperability of data and analysis flows within the platform;(ii) web service and registry technologies to identify, share, and integrate information across diverse, globally dispersed data sources, as well as to access high-performance computational (HPC) facilities for computationally intensive, high-throughput analyses of project data;(iii) platform-specific middleware reference implementations of the domain model integrating a suite of public (largely open-access/-source) databases and software tools into a workbench to facilitate biodiversity analysis, comparative analysis of crop genomic data, and plant breeding decision making.

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Contributors to the Lab on a Chip cell and tissue engineering in microsystems special issue

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Lab on a Chip 2007年第6期7卷 667-671页

作者： Bhatia, Sangeeta N. Chen, Christoper Bashir, Rashid Beebe, David J. Desai, Tejal Gottwald, Eric Khademhosseini, Ali Langer, Robert S. Piel, Matthieu Takayama, Shuichi Thorsen, Todd Tien, Joe Voldman, Joel Vunjak-Novakovic, Gordana Wu, Mingming Yu, Hanry Massachusetts Institute of Technology Harvard-MIT Division of Health Sciences and Technology Department of Electrical Engineering and Computer Science United States Laboratory for Multiscale Regenerative Technologies United States Department of Innovation University of Pennsylvania Department of Bioengineering United States Cell Biology and Physiology Program Cell Growth and Cancer Program Tissue Microfabrication Laboratory Department of Electrical and Computer Engineering and Biomedical Engineering Purdue University United States Department of Electronics University of Glasgow United Kingdom Department of Physiology and Bioengineering University of California San Francisco CA United States California Institute for Quantitative Biomedical Research UCSF/UC Berkeley Graduate Group in Bioengineering United States Laboratory of Therapeutic Micro and Nanotechnology Institute for Biological Interfaces Germany 3D-Cell Culture Techniques Group Institute for Biological Interfaces Germany Department of Medicine and Health Sciences and Technology Massachusetts Institute of Technology (MIT) United States Institut Curie UMR 144 IC/CNRS France Biomedical Engineering Department University of Michigan United States Department of Biomedical Engineering Macromolecular Science and Engineering Program United States Sibley School of Mechanical and Aerospace Engineering School of Chemical and Molecular Engineering Cornell University United States National University of Singapore Singapore Institute of Bioengineering and Nanotechnology A STAR Singapore

A graphical abstract is available for this content

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Decision Fusion of Circulating Markers for Breast Cancer Detection in Premenopausal Women

Decision Fusion of Circulating Markers for Breast Cancer Det...

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IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Jonathan L. Jesneck Sayan Mukherjee Loren W. Nolte Anna E. Lokshin Jeffrey R. Marks Joseph Lo Duke Advanced Imaging Labs Institute for Genome Sciences and Policy Department of Computer Science Duke University USA Department of Electrical and Computer Engineering Division of Hematology/Oncology University of Pittsburgh School of Medicine Pittsburgh PA USA Division of Hematology/Oncology University of Pittsburgh Cancer Institute Pittsburgh PA USA Division of Hematology/Oncology University of Pittsburgh Cancer Institute Pittsburgh PA Institute for Genome Sciences and Policy Department of Experimental Surgery Medical Center Duke University USA Department of Experimental Surgery Duke University Medical Center Medical Physics Graduate Program Duke University Durham NC USA

Current mammographic screening for breast cancer is less effective for younger women. To complement mammography for premenopausal women, we investigated the feasibility screening test using 98 blood serum proteins. Because the data set was very noisy and contained only weak features, we used a classifier designed for noisy data: decision fusion. Decision fusion outperformed both a support vector machine (SVM) and linear regression with forward stepwise feature selection on all three two-class classification tasks: normal tissue vs. cancer, normal tissue vs. benign lesions, and benign lesions vs. cancer. Decision fusion detected cancer moderately well (AUC=0.84 on normal vs. cancer), demonstrating promise as a screening tool. Decision fusion also detected benign lesions similarly well (AUC=0.83 on normal vs. benign lesions) and was the only classifier to achieve any success in separating benign from malignant lesions (AUC=0.64 on benign vs. cancer). The classification results suggest that the assayed proteins are more indicative of a secondary effect, such as immune response, rather than specific for breast cancer. In conclusion, the decision fusion classifier demonstrated some promise in detecting breast lesions and outperformed other classifiers, especially for the very noisy classification problem of distinguishing benign from malignant lesions.

关键词： Breast cancer Cancer detection Lesions Proteins Support vector machines Support vector machine classification Mammography Testing Blood Linear regression

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Erratum to: Summary of recommendations of nomenclature committees relevant to Clay mineralogy: Report of the Association Internationale pour l’etude des argiles (AIPEA) Nomenclature Committee for 2006

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Clays and Clay Minerals 2007年第6期55卷 646-647页

作者： S. Guggenheim J. M. Adams D. C. Bain F. Bergaya M. F. Brigatti V. A. Drits M. L. L. Formoso E. Galán T. Kogure H. Stanjek AIPEA Nomenclature Committee Department of Earth and Environmental Sciences University of Illinois at Chicago Chicago USA Department of Engineering School of Engineering and Computer Science University of Exeter Exeter UK Macaulay Institute Craigiebuckler Aberdeen UK Centre de Recherche de la Matière Divisée (CRMD) National Center of Scientific Research University of Orléans Orléans Cedex 2 France Department of Earth Sciences University of Modena Modena Italy Geological Institute of the Russian Academy of Science Moscow Russia Institute of Geosciences University Federal do Rio Grande do Sul Porto Alegre Brazil Departmento de Cristalografía y Mineralogía Facultad de Química Universidad de Sevilla Sevilla Spain Department of Earth and Planetary Science Graduate School of Science University of Tokyo Tokyo Japan Clay and Interface Mineralogy Aachen University Aachen Germany

In Table 2 entitled ‘Classification of planar hydrous phyllosilicates’ of the paper by Guggenheim et al. (p. 765 of December 2006 issue), the trioctahedral and dioctahedral species for interlayer-deficient mica were inadvertently reversed. In addition, the listed species: lepidolite, illite, glauconite and brammalite, are more appropriately series names and series names should not be included under species. Both corrections are provided in the revised table below (Table 1). Other minor changes are given also.

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Waters network's potential to transform environmental engineering education

Waters network's potential to transform environmental engine...

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114th Annual ASEE Conference and Exposition, 2007

作者： Eschenbach, Elizabeth Montgomery, Jami Johnson, James Brus, Chris Carlson, Patricia Giammar, Dan Grauer, Bette Hotaling, Liesl Oguntimein, Gbekeloluwa Safferman, Steven Wentling, Tim Humboldt State University United States Department of Environmental Resources Engineering Humboldt State University United States WATERS Network - CLEANER Project Office Network Howard University United States Department of Environmental Engineering College of Engineering Architecture and Computer Sciences Howard University United States American Academy of Environmental Engineers United States University of Iowa United States Program University of Iowa United States Rose-Hulman Institute of Technology United States Department of Rhetoric Rose-Hulman Institute of Technology United States National Research Council U. S. Air Force United States NASA's Classroom of the Future Wheeling WV United States Washington University United States Department of Energy Environmental and Chemical Engineering Washington University St. Louis United States Environmental Studies Program Center for Materials Innovation United States McPherson High School United States McPherson High School McPherson KS United States Stevens Institute of Technology United States Stevens Institute of Technology United States Morgan State University United States Michigan State University United States Biosystems and Agricultural Engineering Department Michigan State University United States University of Dayton United States Education Planning Committee National Center for Supercomputing Applications United States Department of Information Science Graduate School of Library and Information Science National Center for Supercomputing Applications University or Illinois United States Knowledge and Learning Systems Group NCSA United States

The WATERS Network (WATer and Environmental Research Systems Network) will be an integrated real-time distributed observing system which will enable academic and government scientists, engineers, educators, and practitioners to advance effective management of our nation's water resources by understanding human interactions with water and the natural and built environment. WATERS will provide easily accessible real time environmental data as well as analysis tools to engineers, scientists, educators, K- graduate students and policymakers so they can better understand how water quantity, quality and related components of the hydrologic cycle are impacted by natural and human influences. The WATERS strategic plan will be completed by July 2007 and requires constituent input. This paper describes the draft Conceptual Design and the Education Plan of WATERS Network. This paper will highlight the potential impact of WATERS on undergraduate and graduate environmental engineering education in order to elicit input from the environmental engineering education community on how WATERS Network could better meet the future needs of undergraduate and graduate students and educators. More information can be found at ***. © American Society for Engineering Education, 2007.

关键词： Water resources

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Software risk management:: a process model and a tool

Software risk management:: a process model and a tool

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IFIP Working Conference on Software Engineering Techniques

作者： Kirner, Teren G. Goncalves, Lourdes E. Graduate Program in Computer Science Methodist University of Piracicaba SP Brazil

ISBN: (纸本)0387393870

This paper is concerned with the risks associated with the software development process. A model (GRisk-Modeo is proposed for the management of such risks and a software tool (GRisk-Tool), developed to support the model, is described. Both the method and the tool were created with the participation of senior managers and software engineers of software factories. The model and the tool serve as effective instruments for achieving the continuous improvement of software processes and products.

关键词： Risk management

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An integrated model of top-down and bottom-up attention for optimizing detection speed

An integrated model of top-down and bottom-up attention for ...

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2006 IEEE computer Society Conference on computer Vision and Pattern Recognition, CVPR 2006

作者： Navalpakkam, Vidhya Itti, Laurent Dept. of Computer Science Neuroscience Graduate Program University of Southern California

ISBN: (纸本)0769525970

Integration of goal-driven, top-down attention and image-driven, bottom-up attention is crucial for visual search. Yet, previous research has mostly focused on models that are purely top-down or bottom-up. Here, we propose a new model that combines both. The bottom-up component computes the visual salience of scene locations in different feature maps extracted at multiple spatial scales. The top-down component uses accumulated statistical knowledge of the visual features of the desired search target and background clutter, to optimally tune the bottom-up maps such that target detection speed is maximized. Testing on 750 artificial and natural scenes shows that the model's predictions are consistent with a large body of available literature on human psychophysics of visual search. These results suggest that our model may provide good approximation of how humans combine bottom-up and top-down cues such as to optimize target detection speed. © 2006 IEEE.

关键词： Search engines

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Reusing experiences for an effective learning in a Web-based context

Reusing experiences for an effective learning in a Web-based...

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8th Asia-Pacific Web Conference, APWeb 2006: Frontiers of WWW Research and Development

作者： Bomfim, Elder Oliveira, Jonice De Souza, Jano M. Computer Science Department Graduate School of Engineering Federal University of Rio de Janeiro Brazil Computer Science Department Mathematics Institute Federal University of Rio de Janeiro Brazil

ISBN: (纸本)3540311424

Human learning does not take place on a single level, but is a stratified process. This means that there is a sequence that is to be observed in teaching and learning. One of the possibilities for improving teaching and learning processes, and consequently, the knowledge flow, is to explore successful past experiences, resulting from the modeling and execution of previous processes. This work presents Thoth, a web-environment which aims at knowledge reuse, during the planning, design and execution of teaching and learning activities. This approach is integrated with a Case Based Reasoning approach, also described in this paper, with workflow systems and the use of ontologies. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Learning systems

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