Clinical neuropsychological foundations of schizophrenia / / edited by Bernice A. Marcopulos and Matthew M. Kurtz

• Record Nr.: UNINA9910462344603321
• Pubbl/distr/stampa: New York, N.Y. : , : Psychology Press, , 2012
• ISBN: 1-283-60757-3; 9786613920027; 1-135-24684-X; 0-203-86863-3
• Descrizione fisica: 1 online resource (357 p.)
• Collana: American Academy of Clinical Neuropsychology/Psychology Press continuing education series
• Altri autori (Persone): KurtzMatthew M. <1967->; MarcopulosBernice A
• Disciplina: 616.89/8; 616.898
• Soggetti: Neuropsychology; Schizophrenia; Electronic books.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Front Cover; Clinical Neuropsychological Foundations of Schizophrenia; Copyright Page; Contents; List of Figures; Preface; Contributors; 1. Cognition in Schizophrenia: Matthew M. Kurtz and Bernice A. Marcopulos; 2. Schizophrenia as a Developmental Brain Disorder: Matcheri S. Keshavan and Vaibhav A. Diwadkar; 3. Neuropsychological Assessment of Persons with Schizophrenia: Bernice A. Marcopulos and Daryl Fujii; 4. Neurocognition and Functional Outcome in Schizophrenia: Matthew M. Kurtz; 5. Cultural Issues in Neuropsychological Testing in Persons with Schizophrenia: Daryl Fujii; 6. Developmental Disabilities and Schizophrenia: Anthony P. De Marco and Bernice A. Marcopulos7. Neuropsychological Considerations in Older Adults with Schizophrenia: Colin A Depp, Casey Loughran, and Barton W. Palmer; 8. Medical Comorbidity in Schizophrenia: William S. Stone and Matcheri S. Keshavan; 9. Traumatic Brain Injury and Schizophrenia: Laura A. Flashman, Thomas McAllister, & Richard Ferrell; ; 10. Influence of Comorbid Substance Use Disorders on Cognition in Schizophrenia: Kim T. Mueser and Susan R. McGurk; 11. Medication and Cognition in Schizophrenia: Nicole Sestito and Terry E. Goldberg12. Neuropsychologically Informed Interventions to Treat Cognitive Impairment in Schizophrenia: Alice Medalia and Dona Bellucci; 13. Criminal Forensic Neuropsychological Evaluations Implications for Schizophrenia: Chriscelyn M. Tussey and Bernice A. Marcopulos; Index
• Sommario/riassunto: "This volume is the first practitioner-oriented source of information on the neuropsychology of schizophrenia that conveys the growth in the field in terms of what is known about cognition in schizophrenia, its assessment, and how this informs clinical practice.It provides the practicing clinical neuropsychologist, and other professionals working with persons with schizophrenia, with the knowledge and tools they need to provide competent professional neuropsychological services. It includes an overview of developmental models of schizophrenia and its associated neuropathologies, so that the clinician can fully understand how vulnerability and progression of the disorder influence brain development and functioning, and how cognition and functioning are associated with these changes. In addition, the volume covers contemporary evidence-based assessment and interventions, including cognitive remediation and other cognitive oriented interventions. Throughout, the research findings are synthesized to make them clinically relevant to clinical neuropsychologists working in outpatient or inpatient psychiatric settings.The book is an invaluable resource for practicing professional neuropsychologists, clinical psychologists, psychiatrists, and neuropsychiatrists, as well as graduate students of these disciplines, interns, and postdoctoral residents and fellows who work with schizophrenic patients"--

Engineering design via surrogate modelling : a practical guide / / Alexander I.J. Forrester, András Sóbester, and Andy J. Keane, University of Southampton, UK

• Record Nr.: UNINA9910830969203321
• Autore: Forrester Alexander I. J.
• Pubbl/distr/stampa: Chichester, West Sussex, England : , : Wiley, , 2008; ©2008
• ISBN: 0-470-77080-5; 1-281-84101-3; 9786611841010; 1-61583-477-X; 0-470-77079-1
• Descrizione fisica: 1 online resource (xviii, 210 pages) : illustrations (some colour)
• Disciplina: 620.0044; 620/.0042015118
• Soggetti: Engineering design - Mathematical models; Engineering design - Statistical methods
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Engineering Design via Surrogate Modelling; Contents; Preface; About the Authors; Foreword; Prologue; Part I Fundamentals; 1 Sampling Plans; 1.1 The 'Curse of Dimensionality' and How to Avoid It; 1.2 Physical versus Computational Experiments; 1.3 Designing Preliminary Experiments (Screening); 1.3.1 Estimating the Distribution of Elementary Effects; 1.4 Designing a Sampling Plan; 1.4.1 Stratification; 1.4.2 Latin Squares and Random Latin Hypercubes; 1.4.3 Space-filling Latin Hypercubes; 1.4.4 Space-filling Subsets; 1.5 A Note on Harmonic Responses; 1.6 Some Pointers for Further Reading; References2 Constructing a Surrogate; 2.1 The Modelling Process; 2.1.1 Stage One: Preparing the Data and Choosing a Modelling Approach; 2.1.2 Stage Two: Parameter Estimation and Training; 2.1.3 Stage Three: Model Testing; 2.2 Polynomial Models; 2.2.1 Example One: Aerofoil Drag; 2.2.2 Example Two: a Multimodal Testcase; 2.2.3 What About the k-variable Case?; 2.3 Radial Basis Function Models; 2.3.1 Fitting Noise-; Free Data; 2.3.2 Radial Basis Function Models of Noisy Data; 2.4 Kriging; 2.4.1 Building the Kriging Model; 2.4.2 Kriging Prediction; 2.5 Support Vector Regression; 2.5.1 The Support Vector Predictor2.5.2 The Kernel Trick; 2.5.3 Finding the Support Vectors; 2.5.4 Finding ; 2.5.5 Choosing C and ; 2.5.6 Computing : -SVR; 2.6 The Big(ger) Picture; References; 3 Exploring and Exploiting a Surrogate; 3.1 Searching the Surrogate; 3.2 Infill Criteria; 3.2.1 Prediction Based Exploitation; 3.2.2 Error Based Exploration; 3.2.3 Balanced Exploitation and Exploration; 3.2.4 Conditional Likelihood Approaches; 3.2.5 Other Methods; 3.3 Managing a Surrogate Based Optimization Process; 3.3.1 Which Surrogate for What Use?; 3.3.2 How Many Sample Plan and Infill Points?3.3.3 Convergence Criteria; 3.4 Search of the Vibration Isolator Geometry Feasibility Using Kriging Goal Seeking; References; Part II Advanced Concepts; 4 Visualization; 4.1 Matrices of Contour Plots; 4.2 Nested Dimensions; Reference; 5 Constraints; 5.1 Satisfaction of Constraints by Construction; 5.2 Penalty Functions; 5.3 Example Constrained Problem; 5.3.1 Using a Kriging Model of the Constraint Function; 5.3.2 Using a Kriging Model of the Objective Function; 5.4 Expected Improvement Based Approaches; 5.4.1 Expected Improvement With Simple Penalty Function5.4.2 Constrained Expected Improvement; 5.5 Missing Data; 5.5.1 Imputing Data for Infeasible Designs; 5.6 Design of a Helical Compression Spring Using Constrained Expected Improvement; 5.7 Summary; References; 6 Infill Criteria with Noisy Data; 6.1 Regressing Kriging; 6.2 Searching the Regression Model; 6.2.1 Re-Interpolation; 6.2.2 Re-Interpolation With Conditional Likelihood Approaches; 6.3 A Note on Matrix Ill-Conditioning; 6.4 Summary; References; 7 Exploiting Gradient Information; 7.1 Obtaining Gradients; 7.1.1 Finite Differencing; 7.1.2 Complex Step Approximation
• Sommario/riassunto: Surrogate models expedite the search for promising designs by standing in for expensive design evaluations or simulations. They provide a global model of some metric of a design (such as weight, aerodynamic drag, cost, etc.), which can then be optimized efficiently. Engineering Design via Surrogate Modelling is a self-contained guide to surrogate models and their use in engineering design. The fundamentals of building, selecting, validating, searching and refining a surrogate are presented in a manner accessible to novices in the field. Figures are used liberally to explain the key