05212nam 2200613 a 450 991014467800332120230607222359.01-282-12300-997866121230090-470-69892-60-470-69838-1(CKB)1000000000687605(EBL)470609(OCoLC)609849592(SSID)ssj0000354362(PQKBManifestationID)11277480(PQKBTitleCode)TC0000354362(PQKBWorkID)10313208(PQKB)10737552(MiAaPQ)EBC470609(Au-PeEL)EBL470609(CaPaEBR)ebr10297729(CaONFJC)MIL212300(EXLCZ)99100000000068760520000329d2002 uy 0engur|n|---|||||txtccrInsulin resistance[electronic resource] a clinical handbook /Andrew J. KrentzOxford ;Malden, Mass. Blackwell Sciencec20021 online resource (202 p.)Description based upon print version of record.0-632-05662-2 Includes bibliographical references and index.Insulin Resistance A Clinical Handbook; Contents; Preface; About the author; Acknowledgements; 1 Pathophysiology of insulin resistance; 1.1 Introduction; 1.2 Normal physiology; 1.2.1 Hormonal regulation of metabolism; 1.2.2 The insulin receptor; 1.2.3 Post-binding events; 1.2.4 Glucose metabolism; 1.2.5 Lipid metabolism; 1.2.6 Protein metabolism; 1.2.7 Ion transport; 1.3 The concept of insulin resistance; 1.3.1 Early studies of insulin action; 1.3.2 Radioimmunoassays for insulin; 1.4 Definitions of insulin resistance; 1.5 Assessment of insulin action in vivo1.5.1 Fasting insulin concentration1.5.2 Dynamic techniques-endogenous insulin; 1.5.3 Dynamic techniques-exogenous insulin; 1.5.4 Mathematical modelling techniques; 1.5.5 Insulin suppression test; 1.5.6 Hyperinsulinaemic euglycaemic clamp technique; 1.5.7 Complementary techniques; 1.6 Mechanisms of insulin resistance; 1.6.1 Genetic defects; 1.6.2 Acquired forms of insulin resistance; 1.6.3 Fetal origins hypothesis; 1.7 Further reading; 2 Insulin resistance in clinical medicine; 2.1 Clinical features; 2.2 Factors influencing insulin sensitivity; 2.2.1 Normal variation in insulin action2.2.2 Sex2.2.3 Age; 2.2.4 Physical exercise; 2.2.5 Tobacco; 2.2.6 Alcohol; 2.3 Physiological states of insulin resistance; 2.3.1 Puberty; 2.3.2 Pregnancy; 2.3.3 Menstrual cycle; 2.3.4 The menopause; 2.4 Severe insulin-resistance syndromes; 2.5 Insulin resistance and cardiovascular risk; 2.5.1 Syndrome X; 2.5.2 Obesity; 2.5.3 Regional adiposity; 2.5.4 Impaired glucose tolerance; 2.5.5 Type 2 diabetes mellitus; 2.5.6 Essential hypertension; 2.5.7 Dyslipidaemia; 2.5.8 Endothelial dysfunction; 2.5.9 Microalbuminuria; 2.5.10 Hyperuricaemia; 2.5.11 Impaired fibrinolysis2.5.12 Polycystic ovary syndrome2.5.13 Non-alcoholic steatohepatitis; 2.6 Other disorders associated with insulin resistance; 2.6.1 Counter-regulatory hormone secretion; 2.6.2 Endocrinopathies; 2.6.3 Chronic renal failure; 2.6.4 Hepatic cirrhosis; 2.6.5 Cardiac failure; 2.7 Miscellaneous inherited disorders; 2.8 Drug-induced insulin resistance; 2.9 Further reading; 3 Management of insulin resistance and associated conditions; 3.1 Non-pharmacological measures; 3.1.1 Medical nutrition therapy; 3.1.2 Physical activity; 3.1.3 Alcohol; 3.1.4 Tobacco; 3.2 Drugs for type 2 diabetes; 3.2.1 Biguanides3.2.2 Thiazolidinediones3.2.3 Sulphonylureas; 3.2.4 Meglitinide analogues; 3.2.5 α-Glucosidase inhibitors; 3.2.6 Insulin; 3.3 Antiobesity drugs; 3.3.1 Sibutramine; 3.3.2 Orlistat; 3.3.3 Leptin; 3.2.4 β3-adrenocepter agonists; 3.4 Lipid-modifying drugs; 3.4.1 Fibric acid derivatives; 3.4.2 Acipimox; 3.4.3 Statins; 3.4.4 Omega-3 fatty acids; 3.5 Antihypertensive drugs; 3.2.4 β-adrenocepter agonists; 3.5.2 Calcium-channel blockers; 3.5.3 Angiotensin converting enzyme inhibitors; 3.5.4 Angiotensin II receptor antagonists; 3.5.5 α1-Receptor blockers; 3.5.6 Selective imidazoline receptor agonists3.5.7 AspirinInsulin resistance, defined as a reduced biological action of insulin, has emerged as a major factor in the development and progression of a number of common non-communicable diseases in man. The role of insulin resistance in the aetiology of type 2 diabetes is particularly well-established. However, insulin resistance has also come to be regarded as a key component of a broader syndrome of common metabolic defects that conspire to increase the risk of atherosclerotic coronary heart disease. The ramifications of insulin resistance now embrace many different medical specialties. The objeInsulin resistanceHandbooks, manuals, etcInsulin resistance616.4/6207Krentz Andrew J937191MiAaPQMiAaPQMiAaPQBOOK9910144678003321Insulin resistance2110860UNINA01485nam2 22002893i 450 VAN010116220230720092913.47320150310d1976 |0itac50 baitaIT|||| |||||ˆ1: La ‰fondazione delle colonie greche e l'ellenizzamento di città nell'Italia anticaEmanuele CiaceriNapoli : Arte tipografica1976401 p.20 cmRistampa anastatica dell'edizione del 1928 a cura del Comitato organizzatore dei Convegni di Studio sulla Magna Grecia, col contributo della Banca Popolare di TarantoBiblioteca LauriaIT-IT-CE0105 CONSBL.900M.285(1)001VAN01011612001 Storia della Magna GreciaEmanuele Ciaceri205 Napoli : Arte Tipografica1976210 3 volumi ; 20 cm215 Biblioteca Lauria.1Magna GreciaStoriaVANC030643SGNapoliVANL000005CiaceriEmanueleVANV009777159027Arte tipografica <editore>VANV111208650ITSOL20240412RICABIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZAIT-CE0105VAN00VAN0101162BIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA00CONS BL.900M.285 (1) 00BL 270 20150310 Biblioteca LauriaFondazione delle colonie greche e l'ellenizzamento di citta nell'Italia antica285624UNICAMPANIA03921nam 22006975 450 991062437920332120251113200159.0981-19-6321-510.1007/978-981-19-6321-6(MiAaPQ)EBC7127699(Au-PeEL)EBL7127699(CKB)25219361800041(PPN)265863864(OCoLC)1350469491(DE-He213)978-981-19-6321-6(EXLCZ)992521936180004120221029d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierFault Estimation for Network Systems via Intermediate Estimator /by Jun-Wei Zhu, Xin Wang, Guang-Hong Yang1st ed. 2022.Singapore :Springer Nature Singapore :Imprint: Springer,2022.1 online resource (191 pages)Mathematics and Statistics SeriesPrint version: Zhu, Jun-Wei Fault Estimation for Network Systems Via Intermediate Estimator Singapore : Springer,c2022 9789811963209 Includes bibliographical references (pages 177-186) and index.Chapter 1. Introduction -- Chapter 2. Design of nominal intermediate estimator -- Chapter 3. Robust Fault Estimation (FE) for a Network of Dynamical Systems -- Chapter 4. FE based Tracking Control for Multi-Agent Systems (MASs) with undirected graph -- Chapter 5. FE based Tracking Control for MASs under directed graph -- Chapter 6. FE based Tracking Control for MASs with mismatched disturbances -- Chapter 7. Applications on Multi-Axis Motion Control Systems -- Chapter 8. Conclusions and Future Research Directions.This book is concerned with the fault estimation problem for network systems. Firstly, to improve the existing adaptive fault estimation observer, a novel so-called intermediate estimator is proposed to identify the actuator or sensor faults in dynamic control systems with high accuracy and convergence speed. On this basis, by exploiting the properties of network systems such as multi-agent systems and large-scale interconnected systems, this book introduces the concept of distributed intermediate estimator; faults in different nodes can be estimated simultaneously; meanwhile, satisfactory consensus performances can be obtained via compensation based protocols. Finally, the characteristics of the new fault estimation methodology are verified and discussed by a series of experimental results on networked multi-axis motion control systems. This book can be used as a reference book for researcher and designer in the field of fault diagnosis and fault-tolerant control and can also be usedas a reference book for senior undergraduate and graduate students in colleges and universities. .Mathematics and Statistics SeriesAutomatic controlRoboticsAutomationTelecommunicationComputer networksControl and Systems TheoryControl, Robotics, AutomationCommunications Engineering, NetworksComputer Communication NetworksAutomatic control.Robotics.Automation.Telecommunication.Computer networks.Control and Systems Theory.Control, Robotics, Automation.Communications Engineering, Networks.Computer Communication Networks.629.8312Zhu Jun-Wei1263798Wang XinYang Guang-HongMiAaPQMiAaPQMiAaPQBOOK9910624379203321Fault estimation for network systems via intermediate estimator3062399UNINA