{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":2,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":40,"n_cols":5,"rows_kept":40,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[2,4,2,5],[3,2,3,3],[4,2,4,3],[5,2,5,3],[6,2,6,3],[10,2,10,3],[11,2,11,3],[18,2,18,3],[18,4,18,5],[19,2,19,3],[19,4,19,5],[20,2,20,3],[20,4,20,5],[21,2,21,3],[22,2,22,3],[24,2,24,3],[25,2,25,3],[26,2,26,3],[27,2,27,3],[28,2,28,3],[34,2,34,3],[35,2,35,3],[37,2,37,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNINA9910705746203321"]
[null,null,"Autore",null,"Jung Han-Sik"]
[null,null,"Titolo",null,"Steam line break analysis using RELAP5/MOD3.3 for steam generator blowdown load assessment / / prepared by Han-Sik Jung [and four others]"]
[null,null,"Pubbl/distr/stampa",null,"Washington, DC : , : Division of Systems Analysis, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, , May 2017"]
[null,null,"Descrizione fisica",null,"1 online resource (xi, 29 pages) : illustrations (some color)"]
[null,null,"Collana",null,"International agreement report ; ; NUREG/IA-0474"]
[null,null,"Soggetti",null,"Nuclear power plants - Piping - Safety measures"]
[{"$nulls":4},"Steam-boilers"]
[{"$nulls":4},"Nuclear reactors - Cooling - Safety measures"]
[{"$nulls":4},"Nuclear power plants - United States"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","\"Korea Institute of Nuclear Safety.\""]
[{"$nulls":4},"\"K. Tien, NRC project manager.\""]
[{"$nulls":4},"\"Manuscript completed: February 2016; date published: May 2017.\""]
[{"$nulls":4},"\"Prepared as part of the Agreement of Research Participation and Technical Exchange under the Thermal-Hydraulic Code Applications and Maintenance Program (CAMP).\""]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (page 29)."]
[null,"2.","Record Nr.",null,"UNINA9910980481903321"]
[null,null,"Autore",null,"Bhattacharya Pronaya"]
[null,null,"Titolo",null,"Revolutionizing Healthcare 5.0: The Power of Generative AI : Advancements in Patient Care Through Generative AI Algorithms / / edited by Pronaya Bhattacharya, Haipeng Liu, Pushan Kumar Dutta, Joel J. P. C. Rodrigues, Gautam Sethi"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024"]
[null,null,"ISBN",null,"9783031757716"]
[{"$nulls":4},"3031757718"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (544 pages)"]
[null,null,"Collana",null,"Studies in Systems, Decision and Control, , 2198-4190 ; ; 571"]
[null,null,"Disciplina",null,"610.28"]
[null,null,"Soggetti",null,"Biomedical engineering"]
[{"$nulls":4},"Computational intelligence"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Medical and Health Technologies"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Artificial Intelligence"]
[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,"The emerging healthcare landscape -- AI for Healthcare 5.0: A shift towards personalized healthcare -- Transition to Generative AI in Healthcare 5.0 -- Drug Synthesis through Generative AI Models -- Generative AI for Data Augmentation in Clinical Trials  -- Generative AI models for Personalized Healthcare  -- Generative Deep Models for Medical Imaging -- Generative AI-driven fitness and real-time healthcare monitoring and control -- The future of Surgery and Anatomical Operations via Generative AI -- Generative models for AR/VR assisted Healthcare 5.0 -- Accuracy and Reliability of Synthetic Data Generation."]
[null,null,null,"Sommario/riassunto","This book serves as a critical resource that bridges the gap between burgeoning technology and its practical implementation. The book starts with an in-depth exploration of healthcare 5.0 principles, laying the foundation for the reader to understand the current shifts in healthcare paradigms. Then, it dives into the intricacies of generative models in healthcare, detailing how these algorithms work and the applications they serve. The book further delves into the subsets of generative machine learning and deep learning techniques in "]
[{"$nulls":4},"healthcare. As we move towards more complex applications, the book takes a turn to address the critical subject of interpretability and explainability in generative models, a topic that resonates profoundly given the life-critical nature of medical decisions. Finally, the book concludes with a robust discussion on the security and privacy concerns that accompany the deployment of GAI in real healthcare settings. By offering a multidimensional viewpoint—coupled with case studies, statistical analyses, and expert insights—the book ensures that the reader is left with a nuanced understanding of how GAI can be both a boon and a challenge in healthcare. As such, the proposed book serves as an indispensable resource for healthcare professionals, data scientists, researchers, and anyone invested in the future of healthcare and AI."]