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[null,"1.","Record Nr.",null,"UNINA9910463739803321"]
[null,null,"Titolo",null,"The Sense of Humor : Explorations of a Personality Characteristic / / Willibald Ruch"]
[null,null,"Pubbl/distr/stampa",null,"Berlin ; ; Boston : , : De Gruyter Mouton, , [2010]"]
[{"$nulls":4},"©1998"]
[null,null,"ISBN",null,"3-11-080460-3"]
[null,null,"Edizione",null,"[Reprint 2010]"]
[null,null,"Descrizione fisica",null,"1 online resource (508 p.)"]
[null,null,"Collana",null,"Humor Research [HR] ; ; 3"]
[null,null,"Disciplina",null,"155.2/32"]
[null,null,"Soggetti",null,"Wit and humor - Psychological aspects"]
[{"$nulls":4},"Personality"]
[{"$nulls":4},"Literature"]
[{"$nulls":4},"Behavior and Behavior Mechanisms"]
[{"$nulls":4},"Humanities"]
[{"$nulls":4},"Psychiatry and Psychology"]
[{"$nulls":4},"Wit and Humor as Topic"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,"Nota di contenuto",null,"Front matter -- Contents -- List of contributors -- Preface and acknowledgments -- PART I. INTRODUCTION -- Foreword and overview. Sense of humor: A new look at an old concept / Ruch, Willibald -- Approaches to the sense of humor: A historical review / Martin, Rod A. -- PART II. CURRENT CONCEPTUAL APPROACHES -- Humor and personality in everyday life / Craik, Kenneth H. / Ware, Aaron P. -- The sense of humor and the truth / Raskin, Victor -- A two-mode model of humor appreciation: Its relation to aesthetic appreciation and simplicity-complexity of personality / Ruch, Willibald / Hehl, Franz-Josef -- \"Sense\" of humor: Perception, intelligence, or expertise? / Derks, Peter / Staley, Rosemary E. / Haselton, Martiε G. -- Is sense of humor a positive personality characteristic? / Kuiper, Nicholas A. / Martin, Rod A. -- Humor and stress revisited / Lefcourt, Herbert Μ. / Thomas, Stacy -- A temperament approach to humor / Ruch, Willibald / Köhler, Gabriele -- PART III. DIFFERENCES AMONG GROUPS -- Exploring paradigms: The study of gender and sense of humor near the end of the 20th century / Lampert, Martin D. / Ervin-"]
[{"$nulls":4},"Tripp, Susan M. -- The ill side of humor: Pathological conditions and sense of humor / Forabosco, Giovannantonio -- The dog that didn't bark in the night: A new sociological approach to the cross-cultural study of humor / Davies, Christie -- PART IV. INTRAINDIVIDUAL DIFFERENCES -- Influence of mood on humor / Deckers, Lambert -- Development of the sense of humor / Bergen, Doris -- PART V. CAUSES OF INTER- AND INTRA-INDIVIDUAL DIFFERENCES -- Genetic and environmental contributions to children's interpersonal humor / Manke, Beth -- The development and evaluation of a systematic program for improving sense of humor / Nevo, Ofra / Aharonson, Haim / Klingman, Avigdor -- Appendix: Humor measurement toots / Ruch, Willibald -- Bibliography -- Author index -- Subject index"]
[null,"2.","Record Nr.",null,"UNISA996418278703316"]
[null,null,"Titolo",null,"Data Analysis for Direct Numerical Simulations of Turbulent Combustion [[electronic resource] ] : From Equation-Based Analysis to Machine Learning / / edited by Heinz Pitsch, Antonio Attili"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020"]
[null,null,"ISBN",null,"3-030-44718-9"]
[null,null,"Edizione",null,"[1st ed. 2020.]"]
[null,null,"Descrizione fisica",null,"1 online resource (294 pages)"]
[null,null,"Disciplina",null,"532.0527015118"]
[null,null,"Soggetti",null,"Computer mathematics"]
[{"$nulls":4},"Fluid mechanics"]
[{"$nulls":4},"Mathematical physics"]
[{"$nulls":4},"Thermodynamics"]
[{"$nulls":4},"Computer science"]
[{"$nulls":4},"Environment"]
[{"$nulls":4},"Computational Mathematics and Numerical Analysis"]
[{"$nulls":4},"Engineering Fluid Dynamics"]
[{"$nulls":4},"Theoretical, Mathematical and Computational Physics"]
[{"$nulls":4},"Computer Science, general"]
[{"$nulls":4},"Environment, general"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Partial A-Posteriori LES of DNS Data of Turbulent Combustion -- Application of the Optimal Estimator Analysis to Turbulent Combustion Modeling -- Reduced Order Modeling of Rocket Combustion Flows -- Dynamic Mode Decompositions: A Tool to Extract Structure Hidden in Massive Dataset -- Analysis of Combustion-Modes Through Structural and Dynamic Technique -- Analysis of the Impact of Combustion On Turbulence: Triadic Analysis, Wavelets, Structure Functions, Spectra -- Analysis of Flame Topology and Burning Rates -- Dissipation Element Analysis of Turbulent Combustion -- Higher Order Tensors for DNS Data Analysis and Compression -- Covariant Lyapunov Vector Analysis of Turbulent Reacting Flows -- CEMA Analysis Applied to DNS Data -- Combined Computational Singular Perturbation-Tangential Stretching Rate Diagnostics of Large -- Scale Simulations of Reactive Turbulent "]
[{"$nulls":4},"Flows: Feature Tracking, Time Scale Characterization, and Cause/Effect Identification -- Genetic Algorithms Applied to LES Model Development -- Sub-grid Scale Signal Reconstruction: From Discrete and Iterative Deconvolution Operators to Convolutional Neural Networks -- Machine Learning for Combustion Rate Shaping -- Machine Learning of Combustion LES Models from DNS -- Developing Artificial Neural Networks Based Models for Complex Turbulent Flow by Utilizing DNS Database."]
[null,null,null,"Sommario/riassunto","This book presents methodologies for analysing large data sets produced by the direct numerical simulation (DNS) of turbulence and combustion. It describes the development of models that can be used to analyse large eddy simulations, and highlights both the most common techniques and newly emerging ones. The chapters, written by internationally respected experts, invite readers to consider DNS of turbulence and combustion from a formal, data-driven standpoint, rather than one led by experience and intuition. This perspective allows readers to recognise the shortcomings of existing models, with the ultimate goal of quantifying and reducing model-based uncertainty. In addition, recent advances in machine learning and statistical inferences offer new insights on the interpretation of DNS data. The book will especially benefit graduate-level students and researchers in mechanical and aerospace engineering, e.g. those with an interest in general fluid mechanics, applied mathematics, and the environmental and atmospheric sciences."]