03082nam 2200661Ia 450 991014082440332120230725023913.01-119-95747-81-282-72880-697866127288080-470-66730-30-470-66729-X(CKB)2670000000034067(EBL)573972(OCoLC)659500870(SSID)ssj0000415674(PQKBManifestationID)11304573(PQKBTitleCode)TC0000415674(PQKBWorkID)10418278(PQKB)10710281(MiAaPQ)EBC573972(EXLCZ)99267000000003406720100416d2010 uy 0engur|n|---|||||txtccrDepression and diabetes[electronic resource] /editors, Wayne Katon, Mario Maj, Norman SartoriusChichester, West Sussex Wiley20101 online resource (194 p.)World Psychiatric Association ;v.13Description based upon print version of record.0-470-68838-6 Includes bibliographical references and index.Depression and Diabetes; Contents; List of Contributors; Preface; 1: The Epidemiology of Depression and Diabetes; 2: Unraveling the Pathogenesis of the Depression-Diabetes Link; 3: Medical Costs of Depression and Diabetes; 4: Treatment of Depression in Patients with Diabetes: Efficacy, Effectiveness and Maintenance Trials, and New Service Models; 5: Diabetes and Depression: Management in Ordinary Clinical Conditions; 6: Depression and Diabetes: Sociodemographic and Cultural Aspects and Public Health Implications; Acknowledgement; IndexIn recent years, there has been a growing awareness of the multiple interrelationships between depression and various physical diseases. The WPA is providing an update of currently available evidence on these interrelationships by the publication of three books, dealing with the comorbidity of depression with diabetes, heart disease and cancer. Depression is a frequent and serious comorbid condition in diabetes, which adversely affects quality of life and the long-term prognosis. Co-occurrent depression presents peculiar clinical challenges, making both conditions harder to manage. DeprWorld Psychiatric AssociationDiabetesTreatmentDiabetesPsychological aspectsDepression, MentalTreatmentDiabetesTreatment.DiabetesPsychological aspects.Depression, MentalTreatment.616.4/6206616.46206616.852744.91bclKaton Wayne913909Maj Mario1953-328537Sartorius N888186MiAaPQMiAaPQMiAaPQBOOK9910140824403321Depression and diabetes2047663UNINA03653nam 22006615 450 991048311820332120251113174853.03-030-18068-910.1007/978-3-030-18068-3(CKB)4100000007992416(MiAaPQ)EBC5755049(DE-He213)978-3-030-18068-3(PPN)243770006(EXLCZ)99410000000799241620190416d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdaptive and Intelligent Control of Microbial Fuel Cells /by Ravi Patel, Dipankar Deb, Rajeeb Dey, Valentina E. Balas1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (135 pages)Intelligent Systems Reference Library,1868-4408 ;1613-030-18067-0 Introduction -- Mathematical Modelling -- Model Analysis of Single Population Single Chamber MFC -- Robust Control design of SPSC Microbial Fuel Cell with norm bounded uncertainty -- Introduction to Adaptive Control. .This book addresses a range of solutions and effective control techniques for Microbial Fuel Cells (MFCs), intended as a response to the increased energy consumption and wastewater production stemming from globalization. It describes the fundamentals of MFCs and control-oriented mathematical models, and provides detailed information on uncertain parameters. Various control techniques like robust control with LMI, adaptive backstepping control, and exact linearization control are developed for different mathematical models. In turn, the book elaborates on the basics of adaptive control, presenting several methods in detail. It also demonstrates how MFCs can be developed at the laboratory level, equipping readers to develop their own MFCs for experimental purposes. In closing, it develops a transfer function model for MFCs by combining a system identification technique and model reference adaptive control techniques. By addressing one of the most promising sources of clean and renewable energy, this book provides a viable solution for meeting the world’s increasing energy demands.Intelligent Systems Reference Library,1868-4408 ;161Computational intelligenceRenewable energy sourcesElectrochemistryAutomatic controlArtificial intelligenceComputational IntelligenceRenewable EnergyElectrochemistryControl and Systems TheoryArtificial IntelligenceComputational intelligence.Renewable energy sources.Electrochemistry.Automatic control.Artificial intelligence.Computational Intelligence.Renewable Energy.Electrochemistry.Control and Systems Theory.Artificial Intelligence.621.312429Patel Raviauthttp://id.loc.gov/vocabulary/relators/aut1229608Deb Dipankarauthttp://id.loc.gov/vocabulary/relators/autDey Rajeebauthttp://id.loc.gov/vocabulary/relators/autBalas Valentina Emiliaauthttp://id.loc.gov/vocabulary/relators/autBOOK9910483118203321Adaptive and Intelligent Control of Microbial Fuel Cells2854189UNINA