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[null,"1.","Record Nr.",null,"UNINA9910789915603321"]
[null,null,"Titolo",null,"Improving metrics for the Department of Defense Cooperative Threat Reduction Program [[electronic resource] /] / Committee on Improving Metrics for the Department of Cooperative Threat Reduction Program, National Academy of Sciences of the National Academies"]
[null,null,"Pubbl/distr/stampa",null,"Washington, D.C., : National Academies Press, 2012"]
[null,null,"ISBN",null,"0-309-22258-3"]
[{"$nulls":4},"1-280-12343-5"]
[{"$nulls":4},"9786613527295"]
[{"$nulls":4},"0-309-22256-7"]
[null,null,"Descrizione fisica",null,"1 online resource (119 p.)"]
[null,null,"Disciplina",null,"327.1745"]
[null,null,"Soggetti",null,"Biological arms control - Standards"]
[{"$nulls":4},"Bioterrorism - Prevention"]
[{"$nulls":4},"Biological warfare - Standards"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Synopsis -- Summary -- Introduction -- Committee Assessment of the Department of Defense Cooperative Threat Reduction Metrics Report -- Improvements to CTR Metrics  References -- Glossary and List of Acronyms -- Appendix A: Congressional Mandate -- Appendix B: Department of Defense Cooperative Threat Reduction Metrics Report -- Appendix C: National Research Council Reports Directly Relevant to Cooperative Threat Reduction -- Appendix D: Biographical Sketches of Committee Members -- Appendix E: List of Information-Gathering Sessions."]
[null,null,null,"Sommario/riassunto","\"The Cooperative Threat Reduction (CTR) Program was created in 1991 as a set of support activities assisting the Former Soviet Union states in securing and eliminating strategic nuclear weapons and the materials used to create them. The Program evolved as needs and opportunities changed: Efforts to address biological and chemical threats were added, as was a program aimed at preventing cross-border smuggling of weapons of mass destruction. CTR has traveled through uncharted territory since its inception, and both the United States and its partners have taken bold steps resulting in progress unimagined in initial years. Over the years, much of the debate about CTR on Capitol Hill has "]
[{"$nulls":4},"concerned the effective use of funds, when the partners would take full responsibility for the efforts, and how progress, impact, and effectiveness should be measured. Directed by Congress, the Secretary of Defense completed a report describing DoD's metrics for the CTR Program (here called the DoD Metrics Report) in September 2010 and, as required in the same law, contracted with the National Academy of Sciences to review the metrics DoD developed and identify possible additional or alternative metrics, if necessary. Improving Metrics for the DoD Cooperative Threat Reduction Program provides that review and advice. Improving Metrics for the DoD Cooperative Threat Reduction Program identifies shortcomings in the DoD Metrics Report and provides recommendations to enhance DoD's development and use of metrics for the CTR Program. The committee wrote this report with two main audiences in mind: Those who are mostly concerned with the overall assessment and advice, and those readers directly involved in the CTR Program, who need the details of the DoD report assessment and of how to implement the approach that the committee recommends.\"--Publisher's description."]
[null,"2.","Record Nr.",null,"UNINA9910253949303321"]
[null,null,"Titolo",null,"Biology and Biotechnology of Actinobacteria / / edited by Joachim Wink, Fatemeh Mohammadipanah, Javad Hamedi"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017"]
[null,null,"ISBN",null,"3-319-60339-6"]
[null,null,"Edizione",null,"[1st ed. 2017.]"]
[null,null,"Descrizione fisica",null,"1 online resource (VII, 395 p. 80 illus., 41 illus. in color.)"]
[null,null,"Disciplina",null,"579.3"]
[null,null,"Soggetti",null,"Bacteriology"]
[{"$nulls":4},"Microbiology"]
[{"$nulls":4},"Microbial genetics"]
[{"$nulls":4},"Microbial genomics"]
[{"$nulls":4},"Applied Microbiology"]
[{"$nulls":4},"Microbial Genetics and Genomics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references at the end of each chapters."]
[null,null,"Nota di contenuto",null,"Introduction -- Cellular structure of actinobacteria -- Growth and life Cycle of actinobacteria -- Classification and taxonomy of actinobacteria -- Genetic of actinobacteria -- Ecology and habitat distribution of actinobacteria -- Physiology of actinobacteria -- Regulation of secondary metabolites of actinobacteria -- Symbiosis and pathogenisity of actinobacteria -- The role of actinobacteria in biotechnology -- Practical aspects of working with Actinobacteria -- Post genomic studies and systems biology of actinobacteria: a brief overview."]
[null,null,null,"Sommario/riassunto","This book provides in-depth insights into the biology, taxonomy, genetics, physiology and biotechnological applications of Actinobacteria. It especially focuses on the latter, reviewing the wide variety of actinobacterial bioactive molecules and their benefits for diverse industrial applications such as agriculture, aquaculture, biofuel production and food technology. Actinobacteria are one of the most promising sources of small bioactive molecules and it is estimated that only a small percentage of actinobacterial bioactive chemicals have been discovered to date. Identifying new diverse gene clusters of biotechnological relevance in the genome of Actinobacteria will be crucial to developing advanced applications for pharmaceutical, "]
[{"$nulls":4},"industrial and agricultural purposes. The book offers a unique resource for all graduate students, researchers and practitioners in the fields of microbiology, microbial biotechnology, and the genetic engineering of Actinobacteria. ."]
[null,"3.","Record Nr.",null,"UNINA9910805579703321"]
[null,null,"Autore",null,"Saad Inès"]
[null,null,"Titolo",null,"Advances in Information Systems, Artificial Intelligence and Knowledge Management : 6th International Conference on Information and Knowledge Systems, ICIKS 2023, Portsmouth, UK, June 22–23, 2023, Proceedings / / edited by Inès Saad, Camille Rosenthal-Sabroux, Faiez Gargouri, Salem Chakhar, Nigel Williams, Ella Haig"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024"]
[null,null,"ISBN",null,"9783031516641"]
[{"$nulls":4},"3031516648"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (352 pages)"]
[null,null,"Collana",null,"Lecture Notes in Business Information Processing, , 1865-1356 ; ; 486"]
[null,null,"Disciplina",null,"005.3"]
[null,null,"Soggetti",null,"Application software"]
[{"$nulls":4},"Expert systems (Computer science)"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[{"$nulls":4},"Knowledge Based Systems"]
[{"$nulls":4},"Machine Learning"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Decision Making, Recommender Systems, and Information Support Systems -- Models-simulators in business decision-making processes for pharmaceutical enterprises -- Decision and Information Support System to implement the Framework of Twelve steps for building decision models -- Graph Representation Learning for Recommendation Systems: A short review -- FITradeoff Decision Support System applied to solve a Supplier Selection Problem -- A Step-by-Step Decision Process to Support Application Migration to the Cloud-Native Architecture -- Information Systems and Machine Learning -- ACTIVE SMOTE for Imbalanced Medical Data Classification -- Evolutionary Graph-Clustering vs Evolutionary Cluster-Detection Approaches for Community Identification in PPI Networks -- Predictive monitoring of business process execution delays -- An accurate Random Forest-based Action Recognition Technique using only velocity and landmarks’ distances -- Efficient topic Detection using an Adaptive Neural Network architecture -- Exploiting Machine Learning Technique for attack detection in Intrusion Detection System (IDS) based on "]
[{"$nulls":4},"Protocol -- Robust Aggregation Function in Federated Learning -- Knowledge Management, Context and Ontology -- Should I Share or Should I Go? A Study of Tacit Knowledge Sharing Behaviors in Extended Enterprises -- Designing a User Contextual Profile Ontology: A Focus on the Vehicle Sales Domain -- Management of Implicit Ontology Changes Generated by Non-conservative JSON Instance Updates in the τJOWL Environment -- A Model Driven Architecture approach for implementing sensitive business processes -- Extension of the functional dimension of BPMN based on MDA approach for sensitive business processes execution -- Inclusive Mobile Health System for Yoruba Race in Nigeria -- Cybersecurity and Intelligent Systems -- Epistemology for Cyber Security: A Controlled Natural Language Approach -- Application of fuzzy decision support systems in IT industry functioning -- Moving towards explainable AI using Fuzzy Networks in decision making process -- Natural Language Processing for Decision Systems -- Sentiment Analysis: Effect of Combining BERT as an Embedding Technique with CNN Model for Tunisian Dialect -- An Enhanced Machine Learning-Based Analysis of Teaching and Learning Process for Higher Education System -- Topic Modelling of Legal Texts using bidirectional encoder representations from Sentence Transformers."]
[null,null,null,"Sommario/riassunto","This book constitutes the refereed proceedings of the 6th International Conference on Information and Knowledge Systems, ICIKS 2023, held in Portsmouth, UK, during June 22–23, 2023. The 18 full papers and 6 short papers included in this book were carefully reviewed and selected from 58 submissions. They were organized in topical sections as follows: Decision Making, Recommender Systems, and Information Support Systems; Information Systems and Machine Learning; Knowledge Management, Context and Ontology; Cybersecurity and Intelligent Systems; and Natural Language Processing for Decision Systems."]