04142nam 2200661 450 991046573330332120200520144314.00-19-936892-90-19-936891-0(CKB)3710000000737974(EBL)4545451(SSID)ssj0001675320(PQKBManifestationID)16484138(PQKBTitleCode)TC0001675320(PQKBWorkID)14954598(PQKB)10020732(MiAaPQ)EBC4545451(Au-PeEL)EBL4545451(CaPaEBR)ebr11237371(OCoLC)953456376(EXLCZ)99371000000073797420160810h20162016 uy 0engur|n|---|||||txtccrStrategies for deconstructing racism in the health and human services /editor, Alma J. Carten ; co-editors, Alan Siskind, Mary Pender GreeneOxford, England :Oxford University Press,2016.©20161 online resource (393 p.)Description based upon print version of record.0-19-936890-2 Includes bibliographical references and indexes.Part One: Building the Infrastructure: Supporting Sustainable Change and Renewal 1. Promoting Organizational and Systemic Change ; 2. Incorporating Antiracist Work at Staff and Board Levels ; 3. Education and Training of a Race-.Conscious Workforce4. Creating a Culturally Competent Research Agenda 5. When Does Race Matter? Examining Antiracist Organizational Change ; Part Two: Reshaping Theoretical and Practice Paradigms ; 6. Deconstructing White Supremacy ; 7. Theoretical Perspectives for Transformation8. Antiracist Approaches for Shaping Theoretical and Practice Paradigms Part Three: Systemic Impacts and Special Populations ; 9. Children, Youth, and Family Serving Systems ; 10. Systems Serving Ethnically Diverse Older Adults11. Barriers to Mental Health and Treatment among Urban Adolescent and Emerging Adult Males of Color Part Four: The Helping Relationship ; 12. The Influence of Race and Ethnicity on Consumer Behaviors13. Establishing Effective Cross-.Cultural Alliances with Diverse Consumer PopulationsWithin the context of the nation's changing demographic and cultural landscape, this one of a kind book brings together a national roster of leading practitioners and scholars who recommend innovative strategies for reducing racial and ethnic disparities that are pervasive across all fields of practice in the health and human services.Racism in social servicesUnited StatesRacism in public welfareUnited StatesDiscrimination in medical careUnited StatesElectronic books.Racism in social servicesRacism in public welfareDiscrimination in medical care361.973089Carten Alma J.Siskind AlanGreene Mary PenderMiAaPQMiAaPQMiAaPQBOOK9910465733303321Strategies for deconstructing racism in the health and human services2249920UNINA04293nam 22007695 450 991029978180332120251116133853.03-319-12520-610.1007/978-3-319-12520-6(CKB)3710000000324518(EBL)1966859(OCoLC)908086301(SSID)ssj0001408402(PQKBManifestationID)11814577(PQKBTitleCode)TC0001408402(PQKBWorkID)11346474(PQKB)10516356(DE-He213)978-3-319-12520-6(MiAaPQ)EBC1966859(PPN)18315049X(EXLCZ)99371000000032451820141223d2015 u| 0engur|n|---|||||txtccrStochastic parameterizing manifolds and non-Markovian reduced equations Stochastic manifolds for nonlinear SPDEs II /by Mickaël D. Chekroun, Honghu Liu, Shouhong Wang1st ed. 2015.Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (141 p.)SpringerBriefs in Mathematics,2191-8198Description based upon print version of record.3-319-12519-2 Includes bibliographical references and index.General Introduction -- Preliminaries -- Invariant Manifolds -- Pullback Characterization of Approximating, and Parameterizing Manifolds -- Non-Markovian Stochastic Reduced Equations -- On-Markovian Stochastic Reduced Equations on the Fly -- Proof of Lemma 5.1.-References -- Index.In this second volume, a general approach is developed to provide approximate parameterizations of the "small" scales by the "large" ones for a broad class of stochastic partial differential equations (SPDEs). This is accomplished via the concept of parameterizing manifolds (PMs), which are stochastic manifolds that improve, for a given realization of the noise, in mean square error the partial knowledge of the full SPDE solution when compared to its projection onto some resolved modes. Backward-forward systems are designed to give access to such PMs in practice. The key idea consists of representing the modes with high wave numbers as a pullback limit depending on the time-history of the modes with low wave numbers. Non-Markovian stochastic reduced systems are then derived based on such a PM approach. The reduced systems take the form of stochastic differential equations involving random coefficients that convey memory effects. The theory is illustrated on a stochastic Burgers-type equation.SpringerBriefs in Mathematics,2191-8198Differential equations, PartialDynamicsErgodic theoryProbabilitiesDifferential equationsPartial Differential Equationshttps://scigraph.springernature.com/ontologies/product-market-codes/M12155Dynamical Systems and Ergodic Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/M1204XProbability Theory and Stochastic Processeshttps://scigraph.springernature.com/ontologies/product-market-codes/M27004Ordinary Differential Equationshttps://scigraph.springernature.com/ontologies/product-market-codes/M12147Differential equations, Partial.Dynamics.Ergodic theory.Probabilities.Differential equations.Partial Differential Equations.Dynamical Systems and Ergodic Theory.Probability Theory and Stochastic Processes.Ordinary Differential Equations.519.22Chekroun Mickaël D.authttp://id.loc.gov/vocabulary/relators/aut0Liu Honghuauthttp://id.loc.gov/vocabulary/relators/autWang Shouhongauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910299781803321Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations2512144UNINA