02651nam 2200613Ia 450 991045017900332120200520144314.01-280-50354-897866105035440-8213-6657-2(CKB)1000000000225241(EBL)459561(OCoLC)519334896(SSID)ssj0000086185(PQKBManifestationID)11112774(PQKBTitleCode)TC0000086185(PQKBWorkID)10031018(PQKB)10991160(MiAaPQ)EBC459561(Au-PeEL)EBL459561(CaPaEBR)ebr10130764(CaONFJC)MIL50354(OCoLC)821691869(EXLCZ)99100000000022524120060501d2006 uf 0engur|n|---|||||txtccrDebt relief for the poorest[electronic resource] an evaluation update for the HIPC initiative /Shonar LalaWashington, DC World Bank20061 online resource (98 p.)Independent evaluation studiesDescription based upon print version of record.0-8213-6656-4 Includes bibliographical references.Contents; Acknowledgments; Foreword; Executive Summary; Acronyms and Abbreviations; 1 Introduction; Tables; Boxes; 2 Delivery of Debt Relief; Figures; 3 Prospects for Debt Sustainability; 4 Policy Performance and Poverty Reduction; 5 Findings; Appendixes; Endnotes; ReferencesThis study evaluates progress under the HIPC initiative since IEG's 2003 evaluation. It finds that the Enhanced HIPC initiative cut debt ratios in half for 18 countries, but in eight of these countries, the ratios have come to once again exceed HIPC thresholds. Debt reduction alone is not a sufficient instrument to affect the multiple drivers of debt sustainability. Sustained improvements in export diversification, fiscal management, the terms of new financing, and public debt management are also needed, measures that fall outside the ambit of the HIPC initiative.Independent evaluation studies.Debt reliefDeveloping countriesDebts, ExternalDeveloping countriesElectronic books.Debt reliefDebts, External336.3/6Lala Shonar1973-1043721MiAaPQMiAaPQMiAaPQBOOK9910450179003321Debt relief for the poorest2468886UNINA00879nam a2200253 i 450099100320824970753620020503184832.0000704s1957 uk ||| | eng b10472988-39ule_instEXGIL116931ExLBiblioteca Interfacoltàita823.6Fielding, Henry165921Joseph Andrews /Henry Fielding ; introduction by George SaintsburyLondon :Dent,1957XXIV, 280 p. ;18 cm.Everyman's library ;467Saintsbury, George.b1047298821-02-1727-06-02991003208249707536LE002 In. I N 1212002000917874le002-E0.00-l- 00000.i1054652227-06-02Joseph Andrews183807UNISALENTOle00201-01-00ma -enguk 0101547nam 2200409 a 450 991069613850332120071002092025.0(CKB)5470000002375427(OCoLC)173609406(EXLCZ)99547000000237542720071002d2007 ua 0engurmn|||||||||txtrdacontentcrdamediacrrdacarrierHighway and transit investments[electronic resource] flexible funding supports state and local transportation priorities and multimodal planning : report to congressional committees[Washington, D.C.] :U.S. Govt. Accountability Office,[2007]ii, 39 pages digital, PDF fileTitle from title screen (viewed on Sept. 20, 2007)."July 2007."Paper version available from: U.S. Govt. Accountability Office, 441 G St., NW, Rm. LM, Washington, D.C. 20548."GAO-07-772."Includes bibliographical references.Highway and transit investments Local transitUnited StatesFinanceLocal transitUnited StatesPlanningFederal aid to transportationUnited StatesLocal transitFinance.Local transitPlanning.Federal aid to transportationGPOGPOBOOK9910696138503321Highway and transit investments3430428UNINA03078oam 22007211 450 991078525620332120200324081358.00-429-91598-50-429-90175-50-429-47698-11-282-78009-397866127800971-84940-859-910.4324/9780429476983(CKB)2670000000048005(EBL)689938(OCoLC)723944203(SSID)ssj0000485715(PQKBManifestationID)11311928(PQKBTitleCode)TC0000485715(PQKBWorkID)10609560(PQKB)10637887(MiAaPQ)EBC689938(Au-PeEL)EBL689938(CaPaEBR)ebr10415425(CaONFJC)MIL278009(OCoLC)1063689675(OCoLC-P)1063689675(FlBoTFG)9780429476983(OCoLC)609538682(FINmELB)ELB142615(EXLCZ)99267000000004800520180522d2018 uy 0engur|||||||||||txtccrMaking Freud more Freudian /Arnold Rothstein1stLondon :Routledge,2018.1 online resource (180 p.)Description based upon print version of record.0-367-10649-3 1-85575-731-1 Includes bibliographical references and index.Table of Contents; Cover; Copyright; ABOUT THE AUTHOR; Introduction; PART I; CHAPTER ONE: Making Freud more Freudian: a reading; CHAPTER TWO: Narcissism; CHAPTER THREE: Sadomasochism; CHAPTER FOUR: Shame and guilt; PART II; CHAPTER FIVE: The seduction of money; CHAPTER SIX: On beginning analysis with patients who are reluctant to pay the analyst's fee; CHAPTER SEVEN: On diagnosing; CHAPTER EIGHT: The failure of an illusion; Conclusion; ReferencesThis book demonstrates the clinical value of ""making Freud more Freudian"". The theoretical contributions of Charles Brenner are summarized and emphasized. They are built on an elaboration of Arlow's ""fantasy function"" and Freud's ""compromise formation"". The author applies this theoretical perspective in elaboration of the concepts of narcissism, masochism, shame and guilt to the distinction between psychiatric and psychoanalytic diagnoses, as well as to a variety of specific clinical topics. Finally, the author emphasizes that the ubiquity of unconscious conflict demonstrates that all pePsychoanalytic interpretationCompromise formationPsychoanalysisCase studiesPsychoanalytic interpretation.Compromise formation.Psychoanalysis150.19/52150.1952Rothstein Arnold1936-540650OCoLC-POCoLC-PBOOK9910785256203321Making Freud more Freudian3816782UNINA01240cam2-22003731i-450 99000306511040332120240524133823.0000306511FED01000306511(Aleph)000306511FED0100030651120030910d1974----km-y0itay50------bafreCHy-------001yy<<18;2.: >>Écrits politiquesreazione, libertà, fascismo, 1896-1923Vilfredo Paretotextes réunis avec une introduction par Giovanni BusinoGenèveLibr. Droz1974Travaux de droit, d'économie, de sociologie et de sciences politiques980010003002312001Oeuvres complètes de Vilfredo Pareto18.2CapitalismoStoriaTariffe e politiche doganaliPareto,Vilfredo<1848-1923>58371Busino,Giovanni<1932- >ITUNINARICAUNIMARCBK990003065110403321A/70 PAR2487SESA01.11/15999DECTS301.094 PARE 22 (2)Ist. ped. 2655FLFBCSESDECTSFLFBCÉcrits politiques464894UNINA05789nam 22006975 450 991043324860332120251230060512.03-662-62746-910.1007/978-3-662-62746-4(CKB)4100000011679175(DE-He213)978-3-662-62746-4(MiAaPQ)EBC6436125(Au-PeEL)EBL6436125(OCoLC)1231609193(oapen)https://directory.doabooks.org/handle/20.500.12854/33766(PPN)252511794(ODN)ODN0010071703(oapen)doab33766(EXLCZ)99410000001167917520201223d2021 u| 0engurnn#---mamaatxtrdacontentcrdamediacrrdacarrierMachine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2020 /edited by Jürgen Beyerer, Alexander Maier, Oliver Niggemann1st ed. 2021.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer Vieweg,2021.1 online resource (VII, 130 p. 42 illus., 25 illus. in color.)Technologien für die intelligente Automation, Technologies for Intelligent Automation,2522-8587 ;133-662-62745-0 Preface -- Energy Profile Prediction of Milling Processes Using Machine Learning Techniques -- Improvement of the prediction quality of electrical load profiles with artficial neural networks -- Detection and localization of an underwater docking station -- Deployment architecture for the local delivery of ML-Models to the industrial shop floor -- Deep Learning in Resource and Data Constrained Edge Computing Systems -- Prediction of Batch Processes Runtime Applying Dynamic Time Warping and Survival Analysis -- Proposal for requirements on industrial AI solutions -- Information modeling and knowledge extraction for machine learning applications in industrial production systems -- Explanation Framework for Intrusion Detection -- Automatic Generation of Improvement Suggestions for Legacy, PLC Controlled Manufacturing Equipment Utilizing Machine Learning -- Hardening Deep Neural Networks in Condition Monitoring Systems against Adversarial ExampleAttacks -- First Approaches to Automatically Diagnose and Reconfigure Hybrid Cyber-Physical Systems -- Machine learning for reconstruction of highly porous structures from FIB-SEM nano-tomographic data.This open access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Berlin, March 12-13, 2020. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments. The Editors Prof. Dr.-Ing. Jürgen Beyerer is Professor at the Department for Interactive Real-Time Systems at the Karlsruhe Institute of Technology. In addition he manages the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB. Dr. Alexander Maier is head of group Machine Learning at Fraunhofer IOSB-INA. His focus is on the development of algorithms for big data applications in Cyber-Physical Systems (diagnostics, optimization, predictive maintenance) and the transfer of research results to industry. Prof. Oliver Niggemann got his doctorate in 2001 at the University of Paderborn with the topic "Visual Data Mining of Graph-Based Data". He then worked for almost 8 years in leading positions in the industry. From 2008-2019 he held a professorship at the Institute for Industrial Information Technologies (inIT) in Lemgo/Germany. Until 2019 Prof. Niggemann was also deputy head of the Fraunhofer IOSB-INA, which works in industrial automation. On April 1, 2019 Prof. Niggemann took over the university professorship "Computer Science in Mechanical Engineering" at the Helmut-Schmidt-University in Hamburg / Germany. There he does research at the Institute for Automation Technology IfA in the field of artificial intelligence and machine learning for cyber-physical systems.Technologien für die intelligente Automation, Technologies for Intelligent Automation,2522-8587 ;13Cooperating objects (Computer systems)TelecommunicationComputer engineeringComputer networksCyber-Physical SystemsCommunications Engineering, NetworksComputer Engineering and NetworksCooperating objects (Computer systems).Telecommunication.Computer engineering.Computer networks.Cyber-Physical Systems.Communications Engineering, Networks.Computer Engineering and Networks.621.38COM043000TEC007000TEC041000bisacshBeyerer Jürgenedt1029954Beyerer Jürgenedthttp://id.loc.gov/vocabulary/relators/edtMaier Alexanderedthttp://id.loc.gov/vocabulary/relators/edtNiggemann Oliveredthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910433248603321Machine Learning for Cyber Physical Systems3018774UNINA