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Armed with the knowledge that the destruction of trust was contributing to retributive consequences for unavoidable mistakes, UMHS looked for ways to heal this core dysfunction; healing, after all, is what they do best The new approach realized unexpected additional bene ts as well With the working atmosphere now free of retribution, doctors no longer have to duck and dodge to avoid the appearance of guilt when errors occur They enjoy greater opportunity to explore what went wrong and devise innovative solutions to prevent future occurrences The culture of transparency bred by UMHS s new openness has brought error rates down throughout the hospital and measurably improved the quality of patient care18 All organizations of people need a way to govern (companies, societies, and even families are alike in this way), and most governance systems bene t from the inclusion of at least some rules. birt pdf 417 Eclipse BIRT PDF417 Barcode Maker add-in makes PDF417 ...
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how to read barcode in c# windows application Download PDF - 417 barcode generator for Java free trial package to create high quality PDF - 417 barcodes in Java class, iReport and BIRT . : Integrating Multiple Contexts and Ontologies in a Pervasive Computing Framework Proceedings of the ECAI 06 Workshop on Contexts and Ontologies: Theory, Practice and Applications (Riva del Garda, Italy, August 2006), pp 37 41 [27] Cohen WW: Fast Effective Rule Induction Proceedings of the 12th International Conference on Machine Learning (ICML 1995, Tahoe City, California, July 2005), Morgan Kaufmann, 1995, pp 115 123 [28] Coutand O, Sutterer M, Lun Lau S, Droegehorn O and David K: User Pro le Management for Personalizing Services in Pervasive Computing Proceedings of the 6th International Workshop on Applications and Services in Wireless Networks (ASWN 2006, Berlin, May 2006), 2006, pp 3 11 [29] Cozman F: A Derivation of Quasi-Bayesian Theory Technical Report CMU-RITR-97-37, Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, 1997 [30] Deutsche Bahn online booking system Online: wwwdbde/site/bahn/en/travelling/tickets/ticket booking/ ticket bookinghtml. [31] Dey AK and Abowd GD: Towards a Better Understanding of Context and Context-awareness Technical Report GIT-GVU-99-22, Georgia Institute of Technology, College of Computing, Atlanta, Georgia, June 1999 [32] Ester M, Kriegel H-P, Sander J and Xu X: A Density Algorithm for Discovering Clusters in Large Spatial Databases with Noise Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining (KDD-96, Portland, Oregon, August 1996), AAAI Press, 1996, pp 226 231 [33] EU IST Project 2001-33052 WonderWeb: Ontology Infrastructure for the Semantic Web, project homepage Online: wonderwebsemanticweborg [34] EU IST Project FP6-IST-511607 MobiLife: Mobile Life, project homepage Online: wwwist-mobilifeorg [35] Flanagan JA: Unsupervised Clustering of Context Data and Learning User Requirements for a Mobile Device Proceedings of the 5th International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT-05, Paris, France, July 2005), pp. 155 168 [36] Flanagan JA: Clustering of Context Data using k-means with an Integrate and Fire Type Neuron Model Proceedings of the 5th Workshop on Self-Organizing Maps (WSOM2005, Paris, France, September 2005), pp 17 24 [37] Flanagan JA: An Unsupervised Learning Paradigm for Peer-to-Peer Labeling and Naming of Locations and Contexts Proceedings of the 2nd International Workshop on Location- and Context-Awareness (LoCA 2006, Dublin, Ireland, May 2006), Lecture Notes in Computer Science 3987, Springer-Verlag, Berlin, pp 204 221 [38] Flor en P, Kukkonen J, Lagerspetz E, Nurmi P and Suomela J: BeTelGeuse: Tool for context data gathering e via Bluetooth Proceedings of the 2nd Workshop on Context Awareness for Proactive Systems (CAPS 2006, Kassel, Germany, June 2006), Kassel University Press, 2006, pp 137 139 [39] Flor en P, Przybilski M, Nurmi P, Koolwaaij J, Tarlano A. birt pdf 417 PDF - 417 Introduction, data, size, application, structure ...
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