{"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":42,"n_cols":5,"rows_kept":42,"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],[5,2,5,3],[8,2,8,3],[9,2,9,3],[10,2,10,3],[11,2,11,3],[13,2,13,3],[14,2,14,3],[17,2,17,3],[21,2,21,3],[21,4,21,5],[22,2,22,3],[22,4,22,5],[23,2,23,3],[23,4,23,5],[24,2,24,3],[25,2,25,3],[26,2,26,3],[27,2,27,3],[28,2,28,3],[29,2,29,3],[30,2,30,3],[36,2,36,3],[37,2,37,3],[39,2,39,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNINA9910137225903321"]
[null,null,"Autore",null,"Rueping Magnus"]
[null,null,"Titolo",null,"Asymmetric bronsted acid catalysis / / Magnus Rueping, Dixit Parmar, and Erli Sugiono"]
[null,null,"Pubbl/distr/stampa",null,"Weinheim, [Germany] : , : Wiley-VCH Verlag GmbH & Co. KGaA, , 2016"]
[{"$nulls":4},"©2016"]
[null,null,"ISBN",null,"3-527-69479-X"]
[{"$nulls":4},"3-527-69478-1"]
[{"$nulls":4},"3-527-69477-3"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (303 pages)"]
[null,null,"Disciplina",null,"541.395"]
[null,null,"Soggetti",null,"Catalysis"]
[{"$nulls":4},"Asymmetric synthesis"]
[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 and index."]
[null,null,"Nota di contenuto",null,"Cover -- Title Page -- Copyright -- Contents -- Preface -- Chapter 1 Introduction -- 1.1 Book Structure and Notation -- 1.2 Catalyst Preparation -- 1.3 Metal Impurities -- References -- Chapter 2 Reactions of Imines -- 2.1 Nucleophilic Addition Reactions -- 2.1.1 C-Nucleophiles -- 2.1.2 N-Nucleophiles -- 2.1.3 O-Nucleophiles -- 2.1.4 P-Nucleophiles -- 2.2 Mannich Reactions -- 2.3 Strecker Reactions -- 2.4 Biginelli Reactions -- 2.5 Friedel-Crafts Reactions -- 2.5.1 Indole Coupling Partners with Aldimines -- 2.5.2 Indole Coupling Partners to Ketimines -- 2.5.3 Non-Indole Aromatic Partners -- 2.5.4 Pictet-Spengler Reactions -- 2.6 Transfer Hydrogenations -- 2.6.1 Imine Partners -- 2.6.2 α-Imino Ester Partners -- 2.6.3 N-Heterocycles -- 2.6.4 Cascade Processes -- 2.6.5 Miscellaneous Reactions -- 2.7 Pericyclic Reactions -- 2.7.1 Aza-Diels-Alder/Povarov -- 2.7.2 1,3-Dipolar Cycloaddition -- 2.7.3 Electrocyclizations and Sigmatropic Rearrangements -- 2.8 Radical Reactions -- References -- Chapter 3 Reactions of Generated Imine Intermediates -- 3.1 Enamines -- 3.1.1 Nucleophilic Addition Reactions -- 3.1.2 Transfer Hydrogenation -- 3.2 Indoles Containing Leaving Groups -- 3.2.1 Nucleophilic Addition Reactions -- 3.2.2 Friedel-Crafts Reactions -- 3.3 N-Acetals and Aminals -- 3.3.1 Nucleophilic Addition Reactions -- 3.3.2 Friedel-Crafts Reactions -- 3.3.3 Transfer Hydrogenation -- 3.4 Miscellaneous Formation -- References -- Chapter 4 Reactions of Carbonyls -- 4.1 "]
[{"$nulls":4},"Nucleophilic Addition Reactions -- 4.1.1 C-Nucleophiles -- 4.1.2 N-, O-, and P-Nucleophiles -- 4.2 Aldol Reactions -- 4.3 Pericyclic Reactions -- 4.4 Reductions -- References -- Chapter 5 Reactions of Generated Carbonyl Intermediates -- 5.1 Enol Ethers -- 5.2 Acetals -- 5.3 Phenols Containing Leaving Groups -- References -- Chapter 6 Reactions of Alkenes -- 6.1 Nucleophilic Addition Reactions."]
[{"$nulls":4},"6.2 Friedel-Crafts Reactions -- 6.3 Pericyclic Reactions -- 6.4 Cascades -- References -- Chapter 7 Reactions of Other Substrates -- 7.1 Aziridines -- 7.2 O-Heterocycles and Ethers -- 7.3 Hydrazines and Hydrazones -- 7.4 Azo/Diazo Substrates -- 7.5 Halogens -- 7.5.1 Fluorine -- 7.5.2 Bromine -- 7.6 Oxidizing Agents -- 7.7 Miscellaneous Substrates -- References -- Experimental Protocols -- Appendix A: Catalyst Frequency -- Appendix B: Overview of Phosphoric Acids (PA) -- Appendix C: Overview of N-Phosphoramide Acids (NPA) -- Appendix D: Overview of SPINOL Phosphoric Acids (SPA) -- Appendix E: Overview of All Other Brønsted Acids (BA) -- Index -- EULA."]
[null,null,null,"Sommario/riassunto","A much-needed overview of the synthesis of chiral Brønsted acids and their applications in various organic transformations. The internationally recognized and highly respected expert authors summarize the most significant advances in this new and dynamically progressing field, with a special emphasis on BINOL-derived phosphoric acids. They also describe other catalysts, such as C-H, TADDOL-derived Brønsted, and sulfonic acids. For easy navigation, the chapters are organized in the first instance according to reactive intermediate and then sub-divided by reaction type.An appendix with selected experimental details for benign and straight-forward procedures rounds of the book, making this the number-one information source for organic chemists in academia and industry."]
[null,"2.","Record Nr.",null,"UNINA9910983078103321"]
[null,null,"Autore",null,"Ficco Massimo"]
[null,null,"Titolo",null,"Artificial Intelligence Techniques for Analysing Sensitive Data in Medical Cyber-Physical Systems : System Protection and Data Analysis / / edited by Massimo Ficco, Gianni D'Angelo"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"9783031707759"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (206 pages)"]
[null,null,"Collana",null,"Engineering Cyber-Physical Systems and Critical Infrastructures, , 2731-5010 ; ; 12"]
[null,null,"Disciplina",null,"610.285"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Cooperating objects (Computer systems)"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Cyber-Physical Systems"]
[{"$nulls":4},"Artificial Intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Chapter 1: Artificial Intelligence and Machine Learning for Medical Applications and Digital Health -- Chapter 2: Healthcare & Cyberspace: Medical Cyber-Physical Systems -- Chapter 3: Privacy Risk Analysis in Medical Cyber–Physical Systems -- Chapter 4: Healthcare & Cyberspace: From Cyber-Physical Systems to Medical Digital Twins -- Chapter 5: Federated Learning in Agents Based Cyber-Physical Systems -- Chapter 6: Application of Solid Platform and Federated Learning for Decentralized Health Data Management -- Chapter 7: TinyML and Federated Learning in Resource-Constrained Medical Devices -- Chapter 8: The Role of Blockchain in AI-Driven Medical Cyber-Physical Systems -- Chapter 9: Artificial Intelligence Applications in Healthcare Security."]
[null,null,null,"Sommario/riassunto","This book presents the major advances in techniques to preserve privacy and security requirements connected with the use of AI and machine learning (ML) to analyse and manage sensitive data in MCPSs. The advances in Internet of things and artificial intelligence (AI) have witnessed great progress on healthcare technologies in several application domains. In particular, the interconnection between the physical spaces, characterized by physical devices able to collect users’ "]
[{"$nulls":4},"health information, with the cyberspace, also known as the virtual space, has fostered the development of intelligent Medical Cyber-Physical Systems (MCPSs) with the capability to deliver real-time healthcare services. On the other hand, the potential innovation that these technologies bring to improve patient care, by remotely analysing health parameters using medical devices, advanced smart sensors, and AI, is hampered by security and privacy challenges related to the managed sensitive data.  Starting from the state of the art on AI and ML for medical applications and digital health, an accurate analysis of privacy and security risks associated with the use of the MCPSs is presented. Then, Digital Twins are introduced as a significant technique to enhance decision-making through learning and reasoning of collected on-field real-time data. Moreover, decentralized healthcare data management approaches based on federated learning, tiny machine learning, and blockchain technologies have been introduced to shift control and responsibility of healthcare data management from individual centralized entities to a more distributed structure, preserving privacy and security. Finally, the application of AI-based security monitoring approaches in healthcare is discussed.  In this book, both theoretical and practical approaches are used to allow readers to understand complex topics and concepts easily also through real-life scenarios."]