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[null,"1.","Record Nr.",null,"UNINA9910483688003321"]
[null,null,"Titolo",null,"Cardiac anesthesia : the basics of evaluation and management / / Ahmed S. Awad [and four others] editors"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer, , [2021]"]
[{"$nulls":4},"©2021"]
[null,null,"ISBN",null,"3-030-51755-1"]
[null,null,"Edizione",null,"[1st ed. 2021.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XXIII, 649 p. 421 illus., 349 illus. in color.)"]
[null,null,"Disciplina",null,"617.967412"]
[null,null,"Soggetti",null,"Anesthesia in cardiology"]
[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 01 Basic Cardiovascular Anatomy -- Chapter 02 Basic Cardiovascular Physiology -- Chapter 03 Basic cardiovascular pharmacology -- Chapter 04 Basic ECG and Common Arrhythmias for the Cardiac Surgery Patient -- Chapter 05 Preoperative evaluation and risk assessment for the cardiac surgery patient -- Chapter 06 A Guide to Interpreting Preoperative Cardiac Studies -- Chapter 07 Medically optimizing the cardiac surgical patient -- Chapter 08 Cardiac Operating Room Setup and Preparation of the Patient for Surgery -- Chapter 09 Intraoperative Hemodynamic monitoring for the cardiac surgery patient -- Chapter 10 The fundamentals of Transthoracic Echocardiography (TTE) and the Focused Assessment with Sonography in Trauma (FAST) examination -- Chapter 11 Common Pathophysiologic Findings on TTE and FAST Examination -- Chapter 12 The Fundamentals of Transesophageal Echocardiography -- Chapter 13 Fundamentals of Cardiopulmonary Bypass Machine Equipment and Technique -- Chapter 14 Myocardial Preservation During Cardiopulmonary Bypass -- Chapter 15 Blood Conservation in Cardiac Surgery -- Chapter 16 Anesthetic Management During Cardiopulmonary Bypass -- Chapter 17 Weaning from Cardiopulmonary Bypass and Management of Difficulties -- Chapter 18 Anesthetic management for Conventional myocardial revascularization -- Chapter 19 Anesthetic management AND Surgical Considerations for the Patient Undergoing Off-Pump Coronary Artery Bypass Grafting -- Chapter 20 Anaesthesia for endovascular Thoracic Aortic Aneurysm repair (TEVAR) -- Chapter 21 Anesthetic management for valvular heart disease -- Chapter 22 Anesthetic Management for Thoracic Aortic Procedures -- "]
[{"$nulls":4},"Chapter 23 Anesthetic Management for Minimally Invasive Cardiac Surgery -- Chapter 24 Anesthetic management for heart failure and Transplantation -- Chapter 25 Anesthetic management for Pulmonary Thromoendarterectomy -- Chapter 26 The Complications of Cardiac Surgery -- Chapter 27 Anesthesia for cardioversion and cardiac ablation procedures -- Chapter 28 Anesthesia for Watchman procedure -- Chapter 29 Anesthesia for TAVR procedure -- Chapter 30 Anesthetic Considerations for Transcatheter Mitral Valve Repair with the MitraClip Device -- Chapter 31 Anesthesia for Laser Lead Extraction -- Chapter 32 Understanding Devices in the cardiac operating room -- Chapter 33 Anaesthesia for endovascular aortic Aneurysm repair (EVAR) -- Chapter 34 Anesthesia for Open Abdominal Aortic Aneurysm -- Chapter 35 Anesthesia for Lower Extremity Bypass -- Chapter 36 Anesthesia for Carotid Endarterectomy -- Chapter 37 Anesthesia considerations for upper extremity arteriovenous fistulas -- Chapter 38 Post-Operative Care for The Adult Cardiac Surgery Patient."]
[null,null,null,"Sommario/riassunto","This concise book meets the market need for an accessible and up-to-date guide on understanding and managing cardiac anesthesia patients. It reflects the continual evolution of the very complex field of cardiac anesthesia. Organized into 10 sections, beginning chapters comprehensively examine the foundational concepts of cardiovascular function. The book then functions as a practical guide for clinical settings, including patient evaluation, operating room and anesthetic management, and postoperative care. Each chapter is authored by experienced cardiac anesthesiologists and many are supplemented by high quality, images, videos and tables. Written for the student, trainee, and junior cardiac anesthesiologist, Cardiac Anesthesia: The Basics of Evaluation and Management covers the core concepts needed to treat the cardiac surgery patient and to the skillset needed to succeed in this field."]
[null,"2.","Record Nr.",null,"UNINA9910795797003321"]
[null,null,"Autore",null,"Anhalt Emily Katz"]
[null,null,"Titolo",null,"Embattled : how ancient Greek myths empower us to resist tyranny / / Emily Katz Anhalt"]
[null,null,"Pubbl/distr/stampa",null,"Stanford, California : , : Redwood Press, , [2021]"]
[{"$nulls":4},"©2021"]
[null,null,"ISBN",null,"1-5036-2940-6"]
[null,null,"Descrizione fisica",null,"1 online resource"]
[null,null,"Disciplina",null,"883.010943219"]
[null,null,"Soggetti",null,"Mythology, Greek - Political aspects"]
[{"$nulls":4},"Greek drama (Tragedy) - Themes, motives"]
[{"$nulls":4},"Epic poetry, Greek - Themes, motives"]
[{"$nulls":4},"Power (Social sciences) in literature"]
[{"$nulls":4},"Democracy in literature"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Introduction : confronting tyranny today -- Leadership (Iliad 1-2) -- Community (Odyssey 1-4) -- Reality (Odyssey 5-8) -- Deception (Odyssey 9-16) -- Success (Odyssey 17-24) -- Justice (Aeschylus' Oresteia) -- Conflict (Sophocles' Antigone) -- Conclusion : the art of self-governance."]
[null,null,null,"Sommario/riassunto","\"An incisive exploration of the way Greek myths empower us to defeat tyranny. As tyrannical passions increasingly plague twenty-first-century politics, tales told in ancient Greek epics and tragedies provide a vital antidote. Democracy as a concept did not exist until the Greeks coined the term and tried the experiment, but the idea can be traced to stories that the ancient Greeks told and retold. From the eighth through the fifth centuries BCE, Homeric epics and Athenian tragedies exposed the tyrannical potential of not only individuals but groups large and small. These stories identified abuses of power as self-defeating and initiated a movement away from despotism and toward broader forms of political participation. Following her highly praised book \"Enraged,\" the classicist Emily Katz Anhalt retells tales from key ancient Greek texts and then goes on to interpret the important message they hold for us today. As she reveals, Homer's \"Iliad\" and \"Odyssey,\" Aeschylus's \"Oresteia,\" and Sophocles's \"Antigone\" encourage us - as they encouraged the ancient Greeks - to take responsibility for our own "]
[{"$nulls":4},"choices and their consequences. These stories emphasize the responsibilities that come with power (any power, whether derived from birth, wealth, personal talents, or numerical advantage), reminding us that the powerful and the powerless alike have obligations to each other. They assist us in restraining destructive passions and balancing tribal allegiances with civic responsibilities. And they empower us to resist the tyrannical impulses of others and in ourselves. In an era of political polarization, \"Embattled\" demonstrates that if we seek to eradicate tyranny in all its toxic forms, ancient Greek epics and tragedies can point the way\"--"]
[null,"3.","Record Nr.",null,"UNINA9910830019403321"]
[null,null,"Titolo",null,"Handbook of graphs and networks [[electronic resource] ] : from the Genome to the Internet / / Stefan Bornholdt, Heinz Georg Schuster (eds.)"]
[null,null,"Pubbl/distr/stampa",null,"Weinheim ; ; [Cambridge], : Wiley-VCH, c2003"]
[null,null,"ISBN",null,"1-280-52099-X"]
[{"$nulls":4},"9786610520992"]
[{"$nulls":4},"3-527-60633-5"]
[{"$nulls":4},"3-527-60275-5"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (419 p.)"]
[null,null,"Disciplina",null,"003"]
[{"$nulls":4},"511.5"]
[null,null,"Soggetti",null,"System analysis"]
[{"$nulls":4},"Graph theory"]
[{"$nulls":4},"Combinatorial analysis"]
[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 and index."]
[null,null,"Nota di contenuto",null,"Handbook of Graphs and Networks From the Genome to the Internet; Preface; Contents; List of contributors; 1 Mathematical results on scale-free random graphs; 1.1 Introduction; 1.2 Classical models of random graphs; 1.3 Results for classical random graphs; 1.4 The Watts-Strogatz 'small-world' model; 1.5 Scale-free models; 1.6 The Barabási-Albert model; 1.7 The LCD model and G((n))(m); 1.8 The Buckley-Osthus model; 1.9 The copying model; 1.10 The Cooper-Frieze model; 1.11 Directed scale-free graphs; 1.12 Clustering coefficient and small subgraphs"]
[{"$nulls":4},"1.13 Pairings on [0, 1] and the diameter of the LCD model1.14 Robustness and vulnerability; 1.15 The case [0, 1]: plane-oriented recursive trees; 1.16 Conclusion; References; 2 Random graphs as models of networks; 2.1 Introduction; 2.2 Random graphs with specified degree distributions; 2.3 Probability generating functions; 2.3.1 Properties of generating functions; 2.3.2 Examples; 2.4 Properties of undirected graphs; 2.4.1 Distribution of component sizes; 2.4.2 Mean component size; 2.4.3 Above the phase transition; 2.5 Properties of directed graphs; 2.5.1 Generating functions; 2.5.2 Results"]
[{"$nulls":4},"2.6 Networks with clustering2.7 Models defined on random graphs; "]
[{"$nulls":4},"2.7.1 Network resilience; 2.7.2 Epidemiology; 2.7.3 The SIR model; 2.7.4 Solution of the SIR model; 2.8 Summary; References; 3 Emergence of scaling in complex networks; 3.1 Introduction; 3.2 Network models; 3.2.1 Random networks; 3.2.2 Scale-free networks; 3.2.3 Scale-free model; 3.3 Fitness model and Bose-Einstein condensation; 3.4 The Achilles' Heel of complex networks; 3.5 A deterministic scale-free model; 3.6 Outlook; 3.7 Acknowledgments; References; 4 Structural properties of scale-free networks; 4.1 Introduction"]
[{"$nulls":4},"4.1.1 Random graphs4.1.2 Scale-free networks; 4.2 Small and Ultra-small worlds; 4.2.1 Diameter of scale-free networks; 4.2.2 Minimal graphs and lower bound; 4.2.3 The general case of random scale-free networks; 4.3 Percolation; 4.3.1 Random breakdown; 4.3.2 Percolation critical threshold; 4.3.3 Generating functions; 4.3.4 Intentional attack; 4.3.5 Critical exponents; 4.3.6 Fractal dimension; 4.4 Percolation in directed networks; 4.4.1 Threshold; 4.4.2 Critical exponents; 4.5 Efficient immunization strategies; 4.5.1 Acquaintance immunization; 4.6 Summary and outlook; References"]
[{"$nulls":4},"5 Epidemics and immunization in scale-free networks5.1 Introduction; 5.2 Computers and epidemiology; 5.3 Epidemic spreading in homogeneous networks; 5.4 Real data analysis; 5.5 Epidemic spreading in scale-free networks; 5.5.1 Analytic solution for the Barabási-Albert network; 5.5.2 Finite size scale-free networks; 5.6 Immunization of scale-free networks; 5.6.1 Uniform immunization; 5.6.2 Targeted immunization; 5.7 Conclusions; References; 6 Cells and genes as networks in nematode development and evolution; 6.1 Introduction"]
[{"$nulls":4},"6.2 Nematode developmental biology: studying processes at a cellular level"]
[null,null,null,"Sommario/riassunto","Complex interacting networks are observed in systems from such diverse areas as physics, biology, economics, ecology, and computer science. For example, economic or social interactions often organize themselves in complex network structures. Similar phenomena are observed in traffic flow and in communication networks as the internet. In current problems of the Biosciences, prominent examples are protein networks in the living cell, as well as molecular networks in the genome. On larger scales one finds networks of cells as in neural networks, up to the scale of organisms in ecological food web"]