00844nam0-22003011--450-99000605046040332120061006102722.0000605046FED01000605046(Aleph)000605046FED0100060504620000112d1987----km-y0itay50------bagerDEy---n---001yyMitbestimmung in der Bundesrepublik DeutschlandHorst-Udo Niedenhoff6. Auf.KölnDeutscher Instituts1987126 p.21 cm344.4321itaNiedenhoff,Horst-Udo230531ITUNINARICAUNIMARCBK990006050460403321VII G 765613FGBCFGBCMitbestimmung in der Bundesrepublik Deutschland577436UNINA03302nam 2200685 450 991045360720332120200520144314.01-62656-034-X1-62656-033-1(CKB)2550000001278084(EBL)1565979(SSID)ssj0001181489(PQKBManifestationID)12447353(PQKBTitleCode)TC0001181489(PQKBWorkID)11145507(PQKB)10070108(MiAaPQ)EBC1565979(CaSebORM)9781626560321(Au-PeEL)EBL1565979(CaPaEBR)ebr10865341(CaONFJC)MIL600124(OCoLC)878109241(EXLCZ)99255000000127808420140507h20142014 uy 0engur|n|---|||||txtccrHow the poor can save capitalism rebuilding the path to the middle class /John Hope Bryant ; foreword by Andrew Young ; copy-editor, Todd Manza ; cover designer, Kirk DouPonce1st ed.San Francisco, California :Berrett-Koehler Publishers,2014.©20141 online resource (177 p.)Includes index.1-62656-032-3 1-306-68873-6 Includes bibliographical references and index.Cover; Contents; Foreword; Introduction; PART I: SEEDING HOPE; One: Separate, Unequal America; Two: A New Look at Income Disparity; PART II: INVESTING IN HOPE; Three: Cracking the Code of Finance; Four: Banking and Financial Services; Five: The Working Family's Hedge Fund; PART III: NURTURING HOPE; Six: 700 Credit Score Communities; Seven: The Power of Small Business and Entrepreneurship; PART IV: HARVESTING HOPE; Eight: The HOPE Plan; Nine: Project 5117; Conclusion: Where We Go from Here; Notes; Acknowledgments; Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; R; S; T; U; V; W; YAbout Operation HOPE Inc.About the Author John Hope Bryant, successful self-made businessman and founder of the nonprofit Operation HOPE, says business and political leaders are ignoring the one force that could truly re-energize the stalled American economy: the poor. If we give poor communities the right tools, policies, and inspiration, he argues, they will be able to lift themselves up into the middle class and become a new generation of customers and entrepreneurs. Raised in poverty-stricken, gang-infested South Central Los Angeles, Bryant saw firsthand how our institutions have abandoned the poor. He details howMiddle classUnited StatesSocial conditionsPoorEmploymentUnited StatesEconomic developmentUnited StatesElectronic books.Middle classSocial conditions.PoorEmploymentEconomic development305.5/50973Bryant John1966-956792Young AndrewManza ToddDouPonce KirkMiAaPQMiAaPQMiAaPQBOOK9910453607203321How the poor can save capitalism2167041UNINA04512nam 22007575 450 99646540130331620230329175138.03-319-46687-910.1007/978-3-319-46687-3(CKB)3710000000872960(DE-He213)978-3-319-46687-3(MiAaPQ)EBC6282911(MiAaPQ)EBC5576489(Au-PeEL)EBL5576489(OCoLC)960195458(PPN)195511352(EXLCZ)99371000000087296020160928d2016 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierNeural Information Processing[electronic resource] 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16–21, 2016, Proceedings, Part I /edited by Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (XIX, 639 p. 250 illus.) Theoretical Computer Science and General Issues,2512-2029 ;99473-319-46686-0 Deep and reinforcement learning -- Big data analysis -- Neural data analysis.-Robotics and control -- Bio-inspired/energy efficient information processing.-Whole brain architecture -- Neurodynamics -- Bioinformatics -- Biomedical engineering -- Data mining and cybersecurity workshop -- Machine learning -- Neuromorphic hardware -- Sensory perception -- Pattern recognition -- Social networks -- Brain-machine interface -- Computer vision -- Time series analysis.-Data-driven approach for extracting latent features -- Topological and graph based clustering methods -- Computational intelligence -- Data mining -- Deep neural networks -- Computational and cognitive neurosciences -- Theory and algorithms.The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitutes the proceedings of the 23rd International Conference on Neural Information Processing, ICONIP 2016, held in Kyoto, Japan, in October 2016. The 296 full papers presented were carefully reviewed and selected from 431 submissions. The 4 volumes are organized in topical sections on deep and reinforcement learning; big data analysis; neural data analysis; robotics and control; bio-inspired/energy efficient information processing; whole brain architecture; neurodynamics; bioinformatics; biomedical engineering; data mining and cybersecurity workshop; machine learning; neuromorphic hardware; sensory perception; pattern recognition; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological and graph based clustering methods; computational intelligence; data mining; deep neural networks; computational and cognitive neurosciences; theory and algorithms.Theoretical Computer Science and General Issues,2512-2029 ;9947Pattern recognition systemsComputer visionArtificial intelligenceComputer scienceData miningAutomated Pattern RecognitionComputer VisionArtificial IntelligenceTheory of ComputationData Mining and Knowledge DiscoveryPattern recognition systems.Computer vision.Artificial intelligence.Computer science.Data mining.Automated Pattern Recognition.Computer Vision.Artificial Intelligence.Theory of Computation.Data Mining and Knowledge Discovery.006.32Hirose Akiraedthttp://id.loc.gov/vocabulary/relators/edtOzawa Seiichiedthttp://id.loc.gov/vocabulary/relators/edtDoya Kenjiedthttp://id.loc.gov/vocabulary/relators/edtIkeda Kazushiedthttp://id.loc.gov/vocabulary/relators/edtLee Minhoedthttp://id.loc.gov/vocabulary/relators/edtLiu Derongedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996465401303316Neural Information Processing2554499UNISA