TAILIEUCHUNG - Recognition and management of pesticide poisonings J. Routt Reigart, James R. Roberts

This volume is produced from digital images created through the University of Michigan University Library’s large-scale digitization efforts. The Library seeks to preserve the intellectual content of items in a manner that facilitates and promotes a variety of uses. The digital reformatting process results in an electronic version of the | United States Office of Prevention Environmental Protection Pesticides and Toxic Agency Substances ÃEPA Recognition and Management of Pesticide Poisonings EPA 735-R-98-003 March 1999 Fifth Edition Recognition and Management of Pesticide Poisonings Fifth Edition 1999 J. Routt Reigart . Professor ofPediatrics Medical University of South Carolina James R. Roberts . . Assistant Professor ofPediatrics Medical University of South Carolina Support for this publication was provided by Certification and Worker Protection Branch Field and External Affairs Division Office of Pesticide Programs . Environmental Protection Agency 401 M Street SW 7506C Washington DC 20460 For additional copies or more information Tel 703-305-7666 Fax 703-308-2962 The manual is available in electronic format on the Internet at http pesticides safety healthcare Acknowledgments We are grateful to the Office of Pesticide Programs Environmental Protection Agency for giving us the opportunity to collaborate on this new edition. Our thanks go to Kevin Keaney Acting Branch Chief for his support and vision and for giving this publication priority attention. Particular mention should also be made of the efforts of Jerome M. Blondell . . and Ameesha Mehta . whose oversight and constant assistance were invaluable in moving this project forward. Ana Maria Osorio . . contributed Chapter 3 Environmental and Occupational History to this manual. Experts in clinical toxicology conducted critical reviews of draft material. We are greatly appreciative of the time and effort of the following reviewers Jeffery Lloyd Burgess . . Assistant Professor Environmental Occupational Health Unit University of Arizona Prevention Center Matthew C. Keifer . . Assistant Professor Department of Medicine Environmental Health University of Washington Wayne R. Snodgrass . . Professor and Head Clinical Pharmacology-Toxicology Texas Poison Center Sheldon .

• Ẩm thực
• reigart
• james
• roberts
• routt
• poisonings
• management
• pesticide
• recognition
• Object detection
• Recognition in digital images
• Object detection and tracking
• Object recognition
• Template based recognition
• Incorporating speech recognition confidence
• discriminative named entity recognition
• speech data
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• A Term Recognition
• Acronym Recognition
• Naoaki Okazaki
• Pattern Recognition
• Machine Learning
• Related fields of pattern recognition
• Two paradigms of pattern recognition
• Applications of pattern recognitions
• Multiple modal features
• Multiple kernel learning for human daily activity recognition
• Human daily activity recognition
• Activity recognition system
• Complex patterns of activity
• Dynamic hand gesture recognition
• Multiview hand gesture
• Cross view recognition
• Canonical correlation analysis
• Canonical correlation analysis method
• Feature recognition
• STEP file
• Hole recognition system
• Demonstrate the capabilities
• Feature recognition algorithm
• Traffic sign recognition
• Problem of traffic sign recognition
• HOG Feature
• SVM in pattern recognition
• Reading pixel into 1D data
• Master's thesis of Engineering
• Master's thesis
• Speaker recognition
• General speaker verification system
• General speaker recognition system
• Speech activity detection
• Speaker recognition systems
• Channel compensation
• Journal of Automation and Control Engineering
• Automatic error correction for repeated words
• Mandarin speech recognition
• Continuous speech recognition
• Character confusion network
• Initial Mandarin recognition
• BMC Bioinformatics
• Site recognition
• Combination of evidence
• Translation initiation site recognition
• Stop codon recognition
• Aided Target Recognition
• Neural Based Target Detectors
• Recognizing Objects
• Military Vehicles
• Image Recognition Systems
• SAR Images
• Multiband Infrared Imagery
• Computer Vision
• Imagine processing
• Computer science
• Face detection and recognition
• Eigenfaces example
• Recognition demo
• ECG signal recognition
• Arrhythmia recognition respiration
• The neurofuzzy network
• The intelligent classifier
• Electrocardiogram (ECG) and respiration signals
• Phân bố đa không gian
• Nhận dạng tiếng Việt
• Đặc trưng thanh điệu
• Nhận dạng thanh điệu
• Multi space distribution
• Tone recognition
• Vietnamese recognition
• Pitch feature
• Journal of Computer Science and Cybernetics
• GMM for emotion recognition of Vietnamese
• Emotion recognition of Vietnamese
• Content independent recognitions
• Spectral characteristics and F0 variants
• Tạp chí khoa học
• Glucocorticoid receptor binds cooperatively to adjacent recognition sites
• Adjacent recognition sites
• Glucocorticoid receptor binds cooperatively
• The DNA helix
• The receptor bound to adjacent GREs
• Speech recognition in human computer interactive control
• Computer interactive control
• HTK and Sphinx
• Vietnamese speech recognition
• Human computer interaction
• Human gait recognition
• A silhouette based approach
• Principal component analysis
• The complete averaged silhouettes
• Real time hand gesture recognition technique
• Application to music display system
• Real time hand gesture recognition method
• Relevance factor data
• The FMM neural network model
• Automatic speech recognition
• Vietnamese corpora
• Existing ASR systems
• Acoustic model training
• Cognitive diffusion model
• User oriented context totext recognition
• Learning to promote
• High level cognitive processes
• User oriented context to text recognition for learning
• Cognitive processes
• Scene text recognition
• Optical character recognition
• Convolutional neural networks
• Computational time
• Deeper network outperforms
• Disguided face recognition
• Partial occluded face recognition
• Non negative matrix factorization
• Alignment free face recognition
• Locality oriented feature extraction
• Action recognition
• Bag of words
• Human action recognition
• Interest points using SIFT
• Scale invariant feature transform