01130nam--2200397---450-99000596318020331620140915093936.0978-88-6689-510-7000596318USA01000596318(ALEPH)000596318USA0100059631820140915d2014----km-y0itay50------baitaIT||||||||001yyCompendio di diritto privatoStefano Ambrogio5. ed.PiacenzaCELT2014496 p.21 cmStrumenti per lo studio del diritto12001Strumenti per lo studio del diritto2001001-------2001Diritto privatoBNCF346.45AMBROGIO,Stefano592482ITsalbcISBD990005963180203316XXV.1.B. 50780789 G.XXV.1.B.357041BKGIUFIORELLA9020140915USA010936FIORELLA9020140915USA010939Compendio di diritto privato1071370UNISA03025nam 2200553 450 991081677810332120230803195356.03-95489-620-6(CKB)2670000000534375(EBL)1640389(SSID)ssj0001215429(PQKBManifestationID)11791712(PQKBTitleCode)TC0001215429(PQKBWorkID)11177486(PQKB)10637296(MiAaPQ)EBC1640389(Au-PeEL)EBL1640389(CaPaEBR)ebr10856430(OCoLC)871780053(EXLCZ)99267000000053437520140419h20142014 uy 0engur|n|---|||||txtccrThe body-image meaning-transfer model an investigation of the sociocultural impact on individuals' body-image /Anke JobskyHamburg, Germany :Anchor Academic Publishing,2014.℗20141 online resource (110 p.)Description based upon print version of record.3-95489-120-4 Includes bibliographical references.The Body-Image-Meaning-Transfer Model; ABSTRACT; ACKNOWLEDGEMENTS; TABLE OF CONTENTS; TABLE OF FIGURES; 1. INTRODUCTION; 2. SELF, IDENTITY, AND MEANING-TRANSFER IN CONSUMER BEHAVIOUR; 2.1. BODY-IMAGE MEANING-TRANSFER; 3. APPROACHES AGAINST THE CURRENT MAINSTREAM BODY-IMAGE; 3.1. BANS AGAINST DELUSIVE, SURREAL BODY-IMAGES; 3.2. CAMPAIGNS ON HEALTHIER BODY-IMAGES; 3.3. CAN MAINSTREAM BIMT BE CHANGED THROUGH THESE CAMPAIGNS?; 4. RESEARCH METHODOLOGY; 5. ANALYSIS AND FINDINGS; 6. CONCLUSION AND RECOMMENDATIONS; 7. LIMITATIONS AND FURTHER RESEARCH; 8. BIBLIOGRAPHY; 9. APPENDICESAPPENDIX A: FOCUS GROUP DISCUSSION QUESTIONSAPPENDIX B: QUESTIONNAIRE; APPENDIX C1: FINDINGS GROUP A (UK); APPENDIX C2: FINDINGS GROUP B (GERMANY); APPENDIX D: QUANTITATIVE DATA GENERATED BY QUESTIONNAIREThis book deals with the impact of the sociocultural environment on body-image in Western consumer culture. Based on McCracken's (1986) meaning-transfer model, the author has created a body-image meaning-transfer (BIMT) model. It suggests how cultural discourse and interactions can shape individual consumers' understanding of socially 'good' and 'bad' bodies. It emphasizes the notable impact of mainstream advertising, media, and celebrity culture that commonly promote a thin-and-muscular beauty-ideal, and the process of normalization which implies feelings of guilt, anxiety, public observationExport marketingCase studiesMarketingVocational guidanceExport marketingMarketingVocational guidance.382.6Jobsky Anke1642778MiAaPQMiAaPQMiAaPQBOOK9910816778103321The body-image meaning-transfer model3987666UNINA05665nam 22007935 450 991029896800332120200701223113.03-319-11424-710.1007/978-3-319-11424-8(CKB)3710000000262151(EBL)1967866(OCoLC)894508776(SSID)ssj0001372343(PQKBManifestationID)11734758(PQKBTitleCode)TC0001372343(PQKBWorkID)11301680(PQKB)10682502(MiAaPQ)EBC1967866(DE-He213)978-3-319-11424-8(PPN)182098893(EXLCZ)99371000000026215120141020d2014 u| 0engur|n|---|||||txtccrArtificial Intelligence Techniques for Rational Decision Making /by Tshilidzi Marwala1st ed. 2014.Cham :Springer International Publishing :Imprint: Springer,2014.1 online resource (178 p.)Advanced Information and Knowledge Processing,1610-3947Description based upon print version of record.3-319-11423-9 Includes bibliographical references at the end of eah chapters and index.Introduction to Rational Decision Making -- Casual Function for Rational Decision Making: Application to Militarized Interstate Disputes -- Correlation Function for Rational Decision Making: Application to Epileptic Activity -- Missing Data Approaches for Rational Decision Making: Application to Anecdotal Data -- Rational Counterfactuals and Decision Making: Application to Interstate Conflict -- Flexibility-Bounded Rationality in Interstate Conflict -- Filtering Irrelevant Information for Rational Decision Making -- Group Decision Making -- Conclusion -- Appendix A: Fourier Transform, Wavelet Transform, Modal Properties and Pseudo-Modal Energies -- Appendix B: Committee of Networks.Develops insights into solving complex problems in engineering, biomedical sciences, social science and economics based on artificial intelligence. Some of the problems studied are in interstate conflict, credit scoring, breast cancer diagnosis, condition monitoring, wine testing, image processing and optical character recognition. The author discusses and applies the concept of flexibly-bounded rationality which prescribes that the bounds in Nobel Laureate Herbert Simon’s bounded rationality theory are flexible due to advanced signal processing techniques, Moore’s Law and artificial intelligence. Artificial Intelligence Techniques for Rational Decision Making examines and defines the concepts of causal and correlation machines and applies the transmission theory of causality as a defining factor that distinguishes causality from correlation. It develops the theory of rational counterfactuals which are defined as counterfactuals that are intended to maximize the attainment of a particular goal within the context of a bounded rational decision making process. Furthermore, it studies four methods for dealing with irrelevant information in decision making: Theory of the marginalization of irrelevant information Principal component analysis Independent component analysis Automatic relevance determination method In addition it studies the concept of group decision making and various ways of effecting group decision making within the context of artificial intelligence. Rich in methods of artificial intelligence including rough sets, neural networks, support vector machines, genetic algorithms, particle swarm optimization, simulated annealing, incremental learning and fuzzy networks, this book will be welcomed by researchers and students working in these areas.Advanced Information and Knowledge Processing,1610-3947Artificial intelligenceComputational intelligenceStatisticsOperations researchDecision makingOptical data processingArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/S17020Operations Research/Decision Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/521000Computer Imaging, Vision, Pattern Recognition and Graphicshttps://scigraph.springernature.com/ontologies/product-market-codes/I22005Artificial intelligence.Computational intelligence.Statistics.Operations research.Decision making.Optical data processing.Artificial Intelligence.Computational Intelligence.Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.Operations Research/Decision Theory.Computer Imaging, Vision, Pattern Recognition and Graphics.006.3015Marwala Tshilidziauthttp://id.loc.gov/vocabulary/relators/aut899934MiAaPQMiAaPQMiAaPQBOOK9910298968003321Artificial Intelligence Techniques for Rational Decision Making2010774UNINA