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Record Nr. |
UNINA9910780901103321 |
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Titolo |
Diseases of importance in the United States / / by the Committee on Issues and Priorities for New Vaccine Development, Division of Health Promotion and Disease Prevention, Institute of Medicine |
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Pubbl/distr/stampa |
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Washington, D.C., : National Academy Press, 1985 |
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ISBN |
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1-281-30039-X |
9786611300395 |
0-309-11575-2 |
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Descrizione fisica |
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1 online resource (472 pages) |
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Collana |
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New vaccine development : establishing priorities ; ; v. 1 |
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Disciplina |
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Soggetti |
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Vaccines - Research - Government policy |
Vaccination - United States |
Vaccination - Developing countries |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Prepared for the National Institute of Allergy and Infectious Diseases. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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""Title""; ""Copyright""; ""Acknowledgments""; ""Preface""; ""Abstract""; ""Contents""; ""1 Summary""; ""Selection of Candidates""; ""Determination of Health Benefits""; ""Disease Burden Estimates""; ""Infant Mortality Equivalence Values""; ""Total Disease Burden Values""; ""Vaccine Characteristics""; ""Predictions of Vaccine Development""; ""Definition of Probable Vaccine Target Population""; ""Estimation of Vaccine Utilization""; ""Estimation of Time to Licensure, Time to vaccine Adoption, and Delay of Vaccination Benefits: Discounting""; ""Estimation of vaccine Preventable Illness"" |
""Calculation of Expected Health Benefits for Each Vaccine"" ""Cost Calculations""; ""Calculation of Morbidity Costs Averted by the Vaccine""; ""Vaccination Program Costs""; ""Integration of Costs""; ""Interpretation of Health Benefit and Net Cost Rankings""; ""Findings, Conclusions, Recommendations""; ""Recommendation""; ""Reference""; ""2 Priority Setting for Health Related Investments: A Review of Methods""; ""Methods for Project Ranking and Selection""; ""Multiattribute Accounting""; ""Multiattribute Scoring""; ""Decision Analysis With Multiple Objectives"" |
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""Cost-Effectiveness and Cost-Utility Analysis"" ""Benefit-Cost Analysis""; ""Selection of an Approach""; ""Issues in Project Ranking Methodologies""; ""Sources of Estimates""; ""Sequential or 'Lexicographic' Methods""; ""Interdependence Among Projects""; ""The 'Portfolio' Question""; ""Summary""; ""References""; ""3 Overview of the Analytic Approach""; ""Method""; ""Interpretation of Results""; ""Guidelines""; ""Definition of Dominance""; ""Step 1""; ""Step 2""; ""Step 3""; ""Step 4""; ""Summary""; ""4 Comparison of Disease Burdens and Costs"" |
""Elements of the System for Comparing Morbidity and Mortality Burdens Arising From various Diseases"" ""Trade-Off Values""; ""Expression of Morbidity and Mortality Burdens""; ""Procedures Used in Deriving Disease Estimates""; ""Limitations of the Current Estimates""; ""Value Judgments in Quantifying Morbidity and Mortality""; ""IME Perspectives used in This Study""; ""The Effect of Adopting Other IME Perspectives""; ""Comparison of Direct Costs Resulting from Diseases""; ""Scope of Cost Calculations""; ""Procedures""; ""Findings""; ""Limitations of the Proposed System"" |
""Summary and Conclusions"" ""Recommendations""; ""References""; ""5 Predictions on Vaccine Development""; ""The Need for Predictions""; ""Selection of Candidates""; ""Vaccine Candidates and Target Populations""; ""Predictions on Vaccine Development""; ""Probability of Successful Development""; ""Cost of Development""; ""Time to Licensure""; ""Comments""; ""Predictions on Vaccine Characteristics""; ""Efficacy""; ""Adverse Reactions""; ""Production Technology, Delivery Requirements, and Cost/Dose""; ""Number of Doses and Route of Administration""; ""Conclusions""; ""6 Assessing the Likely Utilization of New Vaccines"" |
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2. |
Record Nr. |
UNINA9910911290603321 |
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Autore |
Dang Tran Khanh |
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Titolo |
Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications : 11th International Conference on Future Data and Security Engineering, FDSE 2024, Binh Duong, Vietnam, November 27–29, 2024, Proceedings, Part I / / edited by Tran Khanh Dang, Josef Küng, Tai M. Chung |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (383 pages) |
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Collana |
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Communications in Computer and Information Science, , 1865-0937 ; ; 2309 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Computational intelligence |
Application software |
Artificial intelligence |
Data protection |
Education - Data processing |
Computational Intelligence |
Computer and Information Systems Applications |
Artificial Intelligence |
Data and Information Security |
Computers and Education |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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-- Advances in Machine Learning for Big Data Analytics. -- Parameters Identification Based on Deep Neural Networks for the Microplane Material Model of UHPC under Uni-axial Compression. -- Predicting Bitcoin’s Price: A Critical Review of Forecasting Models and Method. -- Enhancing Explainable Herbal Recognition with Vision Transformer Features and SVM. -- Session-based Product Recommendation using Graph Neuron Net-works. -- Improving The Polyp Image Segmentation |
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Based on Parallel Reverse Attention Network. -- Security and Privacy Engineering. -- Adversarial Perturbations for License Plate Information Privacy. -- IU-VecCert: A Scalable Credentials Issuance Protocol Using Non-Interactive Vector Commitment Scheme. -- A Study on Deep Graph Neural Networks for Security Vulnerabilities Detection in Web Applications. -- Secure as a Service VNF: A Proposed VNF Architecture for Proac-tive Malware Detection during File Downloads in Enterprises. -- Data Analytics and Healthcare Systems. -- Enhancing Efficiency of Multi-Label X-Ray Image Classification with Self Supervised Learning Based on Compact Swin Transformers. -- Curated Colon Disease Diagnosis using Principal Component Analy-sis and Deep Learning with Integrated Gradient. -- Clinical Data-Driven Explainable AI for COVID-19 Treatment Out-come Analysis. -- Medical Signal Analysis for Early ECG Classification using Machine Learning Models. -- Detection and Classification of Liver Lesions Using Vision Trans-former and Active Learning. -- Detection and Classification of Osteoarthritis using Vision Trans-former in Distributed Environment. -- Smart City and Industry 4.0 Applications. -- Legal-Onto Model for Efficient Land Law Updates in Vietnam. -- Exploring Distillation Models for Cultural Heritage Preservation: Traditional Vietnamese Instruments. -- Optimizing Customer Feedback Analysis with BERT - based Senti-ment Classification: A Case Study of Toyota Dong Sai Gon. -- Estimating Traffic Density Using Convolutional Neural Networks Based on Crowd Counting. -- MedQAS: A Medical Question Answering System Based on Finetun-ing Large Language Models. -- Machine Learning UHF-RFID to Support Video Tracking and Rec-ommendation for Attendance System. -- Short Papers: Security and Data Engineering. -- A Pronunciation Practice System Based on Pre-Trained Deep Learn-ing Models. -- An Automatic System Architecture Applying XAI for Dataset Fea-ture Selection in Supervised Learning. -- Entity Labeling and Data Analysis Framework. -- SVSD: A Comprehensive Framework for Vietnamese Sentiment Analysis. -- A YoloX-based Approach for Detecting Human and Classifying their own pet to Monitor and Improve Services at the Veterinary clinic. -- Intrusion detection in Internet of Medical Things. |
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Sommario/riassunto |
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This two-volume set CCIS 2309-2310 constitutes the refereed proceedings of the 11th International Conference on Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, FDSE 2024, held in Binh Duong, Vietnam, during November 27–29, 2024. The 44 full papers, 12 short papers and 1 keynote paper were carefully reviewed and selected from 189 submissions. They were organized in topical sections as follows: advances in machine learning for big data analytics; security and privacy engineering; data analytics and healthcare systems; smart city and industry 4.0 applications; big data query processing and optimization; and short papers; security and data engineering. |
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