LEADER 05486oam 2200757Ka 450 001 9910781472903321 005 20190503073400.0 010 $a0-262-29757-4 010 $a1-283-32174-2 010 $a9786613321749 010 $a0-262-29846-5 035 $a(CKB)2550000000063723 035 $a(EBL)3339333 035 $a(OCoLC)760887071 035 $a(SSID)ssj0000535158 035 $a(PQKBManifestationID)12183959 035 $a(PQKBTitleCode)TC0000535158 035 $a(PQKBWorkID)10519848 035 $a(PQKB)10188793 035 $a(MiAaPQ)EBC3339333 035 $a(OCoLC)760887071$z(OCoLC)761291265$z(OCoLC)816870224$z(OCoLC)957022508$z(OCoLC)961627309$z(OCoLC)962645877$z(OCoLC)988486043$z(OCoLC)992099700$z(OCoLC)1037912586$z(OCoLC)1038562556$z(OCoLC)1045598704$z(OCoLC)1048183350$z(OCoLC)1050961575$z(OCoLC)1055349304$z(OCoLC)1058019533$z(OCoLC)1061054990$z(OCoLC)1066045599$z(OCoLC)1081221097 035 $a(OCoLC-P)760887071 035 $a(MaCbMITP)8752 035 $a(Au-PeEL)EBL3339333 035 $a(CaPaEBR)ebr10513542 035 $a(CaONFJC)MIL332174 035 $a(EXLCZ)992550000000063723 100 $a20111114d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aCollaborative resilience $emoving through crisis to opportunity /$fedited by Bruce Evan Goldstein 210 $aCambridge, Mass. $cMIT Press$dİ2012 215 $a1 online resource (419 p.) 300 $aDescription based upon print version of record. 311 $a0-262-51645-4 311 $a0-262-01653-2 320 $aIncludes bibliographical references and index. 327 $a""Contents""; ""Acknowledgments""; ""About the Contributors""; ""Chapter 1. Introduction: Crisis and Collaborative Resilience""; ""Unity in the Face of Crisis""; ""Beyond the Intrinsically Resilient University""; ""Crisis and Convergence""; ""Chapter Overviews""; ""Conclusion""; ""Note""; ""References""; ""I. Understanding Collaboration""; ""Chapter 2. Planning Resilient Communities: Insights from Experiences with Risky Technologies""; ""Communicative Planning (CP) Theory and Social Trust""; ""Operationalizing Social Trust""; ""Implications for Planning for Risky Technologies"" 327 $a""Conclusion""""References""; ""Chapter 3. Leaping Forward: Building Resilience by Communicating Vulnerability""; ""Overview""; ""Introduction to Planning""; ""The Framework: Trust, Diversity, Communication, and Resilience""; ""Synthesis and Future Directions""; ""Notes""; ""References""; ""Chapter 4. Complex Systems, Anticipation, and Collaborative Planning for Resilience""; ""About Resilience and Other Goals of Physical and Social Systems Management""; ""Decision Making (Warts and All)""; ""Collaborative Processes""; ""Notes""; ""References""; ""Chapter 5. The Study of Slow"" 327 $a""Resilience Theory as a Conceptual Framework for Studying Slow""""The Slow Movement and its Diversification""; ""Deceleration and Discontent""; ""Scaling Down: Connection and Transformation""; ""Slowness in Practice: Collaborative, Adaptive, and Incremental Processes of Transformation""; ""Conclusions""; ""Notes""; ""References""; ""Chapter 6. Creating the Climate Change Resilient Community""; ""The Nature of Adaptation and Resilience in the Context of Climate Change""; ""Learning from Natural Resource Management and Natural Hazard Mitigation Planning"" 327 $a""Learning from the Emerging Practice of Climate Change Planning""""Climate Change Science and International Goal- Setting""; ""Planning for Climate Change Mitigation""; ""Collective Action through Market Mechanisms""; ""Building Climate Change Resilient Communities""; ""Note""; ""References""; ""II. Collaborative Resilience Case Studies""; ""A. Reaching Consensus""; ""Chapter 7. Conflict and Collaboration in Defining the a???Desired Statea???: The Case of Cozumel, Mexico""; ""Introduction""; ""Ideals and Reality of Planning for Social- Ecological Disturbance (Hazards)"" 327 $a""Case Study: Ecological Ordinance and Resilience in Cozumel, Mexico""""Discussion""; ""Conclusion""; ""Notes""; ""References""; ""Chapter 8. Getting to Resilience in a Climate-Protected Community: Early Problem-Solving Choices, Ideas, and Governance Philosophy""; ""The Blackfoot Challenge: From Tough Setting to Collaborative Success""; ""Moving Toward Resilience""; ""A Common- Sense, Strategic Approach to Early Problem- Solving Choices""; ""Collectively Agreed- Upon New Ideas""; ""Governance Philosophy: The Mindset of Collaborative Capacity Builders""; ""Conclusion""; ""Notes"" 327 $a""References"" 330 $aCase studies and analyses investigate how collaborative response to crisis can enhance social-ecological resilience and promote community reinvention. 606 $aCommunity development 606 $aCommunity organization 606 $aCrises$xSocial aspects 606 $aSociology, Urban 606 $aCity planning 610 $aARCHITECTURE/Urban Design 615 0$aCommunity development. 615 0$aCommunity organization. 615 0$aCrises$xSocial aspects. 615 0$aSociology, Urban. 615 0$aCity planning. 676 $a307.1/16 702 $aGoldstein$b Bruce Evan$f1963- 801 0$bOCoLC-P 801 1$bOCoLC-P 906 $aBOOK 912 $a9910781472903321 996 $aCollaborative resilience$93838793 997 $aUNINA LEADER 05437nam 2200637 a 450 001 9910829912203321 005 20170816123536.0 010 $a1-118-55788-3 010 $a1-118-61868-8 010 $a1-299-31535-6 010 $a1-118-61970-6 035 $a(CKB)2560000000100616 035 $a(EBL)1143525 035 $a(SSID)ssj0000852564 035 $a(PQKBManifestationID)11453633 035 $a(PQKBTitleCode)TC0000852564 035 $a(PQKBWorkID)10852856 035 $a(PQKB)10075969 035 $a(MiAaPQ)EBC1143525 035 $a(OCoLC)836870640 035 $a(EXLCZ)992560000000100616 100 $a20091023d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aArbitrary Lagrangian-Eulerian and fluid-structure interaction$b[electronic resource] $enumerical simulation /$fedited by Mhamed Souli, David J. Benson 210 $aLondon $cISTE ;$aHoboken, N.J. $cWiley$d2010 215 $a1 online resource (314 p.) 225 1 $aISTE 300 $aDescription based upon print version of record. 311 $a1-84821-131-7 320 $aIncludes bibliographical references and index. 327 $aCover; Arbitrary Lagrangian-Eulerian and Fluid-Structure Interaction; Title Page; Copyright Page; Table of Contents; Introduction; Chapter 1. Introduction to Arbitrary Lagrangian-Eulerian in Finite Element Methods; 1.1. Introduction; 1.2. Governing equations; 1.3. Operator splitting; 1.4. The Lagrangian step; 1.4.1. Governing equations; 1.4.2. The central difference method; 1.4.3. Element formulation; 1.4.4. Hourglass modes; 1.4.5. Stress rates; 1.4.6. Shock viscosity; 1.4.6.1. von Neumann-Richtmyer; 1.4.6.2. Standard quadratic and linear formulation; 1.4.6.3. Effect on time step size 327 $a1.4.7. Mixture theories1.4.7.1. Mean strain rate mixture theory; 1.4.7.2. Mean stress mixture theory; 1.5. Mesh relaxation; 1.6. The Eulerian step; 1.6.1. Transport in one dimension; 1.6.2. Multidimensional transport by operator Splitting; 1.6.3. Multidimensional transport on unstructured meshes; 1.6.4. Momentum transport; 1.6.4.1. Momentum transport using a dual mesh in one dimension; 1.6.4.2. Element-centered transport in one dimension; 1.6.5. Interface reconstruction; 1.6.5.1. Lagrangian methods; 1.6.5.2. Level set methods; 1.6.5.3. Volume of fluid methods; 1.7. Future research directions 327 $a1.8. BibliographyChapter 2. Fluid-Structure Interaction: Application to Dynamic Problems; 2.1. Introduction; 2.2. General ALE description of Navier-Stokes equations; 2.3. Fluid-structure interaction; 2.3.1. Contact algorithms for fluid-structure interaction problems; 2.3.2. Euler-Lagrange coupling; 2.3.3. Damping in the coupling; 2.4. Numerical applications; 2.4.1. Piston problem; 2.4.2. Two-dimensional slamming modeling; 2.4.2.1. Numerical approach of a two-dimensional slamming problem; 2.4.2.2. Numerical approach for rigid structure; 2.4.3. Airbag deployment; 2.4.4. Sloshing tank problem 327 $a2.4.4.1. Analytical treatment of the sloshing problem2.4.4.2. Sloshing in a rigid tank; 2.4.4.3. Frequency analysis for sloshing; 2.4.4.4. Application to a cylindrical flexible tank subjected to seismic loading; 2.5. Conclusion; 2.6. Acknowledgments; 2.7. Bibliography; Chapter 3. Implicit Partitioned Coupling in Fluid-Structure Interaction; 3.1. Introduction; 3.2. Computational fluid mechanics; 3.2.1. Governing equations; 3.2.1.1. Incompressible flows; 3.2.1.2. Inviscid flows; 3.2.2. Finite volume discretization; 3.2.2.1. Solution algorithms; 3.3. Computational structural mechanics 327 $a3.3.1. Governing equations3.3.1.1. Linear elasticity; 3.3.1.2. Plane stress problems; 3.3.1.3. Hyperelasticity; 3.3.2. Finite element methods; 3.4. Fluid-structure interaction algorithms; 3.4.1. ALE formulation; 3.4.2. Mesh dynamics; 3.4.2.1. Algebraic approaches; 3.4.2.2. Elliptic approaches; 3.4.3. Coupling methods; 3.4.3.1. Implicit partitioned coupling; 3.5. Results and applications; 3.5.1. Verification results; 3.5.2. Validation results; 3.5.3. Flow induced by solid deformation; 3.5.4. Interaction of flow and solid deformation; 3.6. Bibliography 327 $aChapter 4. Avoiding Instabilities Caused by Added Mass Effects in Fluid-Structure Interaction Problems 330 $aThis book provides the fundamental basics for solving fluid structure interaction problems, and describes different algorithms and numerical methods used to solve problems where fluid and structure can be weakly or strongly coupled. These approaches are illustrated with examples arising from industrial or academic applications. Each of these approaches has its own performance and limitations. Given the book's comprehensive coverage, engineers, graduate students and researchers involved in the simulation of practical fluid structure interaction problems will find this book extremely useful. 410 0$aISTE 606 $aFluid-structure interaction 615 0$aFluid-structure interaction. 676 $a620.106 676 $a624.1/71 676 $a624.171 701 $aSouli$b M$01688688 701 $aBenson$b D. J$g(David J.),$f1955-$054407 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910829912203321 996 $aArbitrary Lagrangian-Eulerian and fluid-structure interaction$94063149 997 $aUNINA LEADER 04672nam 22006255 450 001 9910624306803321 005 20251009102755.0 010 $a9783031116124 010 $a3031116127 024 7 $a10.1007/978-3-031-11612-4 035 $a(MiAaPQ)EBC7129835 035 $a(Au-PeEL)EBL7129835 035 $a(CKB)25299549400041 035 $a(DE-He213)978-3-031-11612-4 035 $a(EXLCZ)9925299549400041 100 $a20221031d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAlternative Data and Artificial Intelligence Techniques $eApplications in Investment and Risk Management /$fby Qingquan Tony Zhang, Beibei Li, Danxia Xie 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Palgrave Macmillan,$d2022. 215 $a1 online resource (340 pages) 225 1 $aPalgrave Studies in Risk and Insurance,$x2523-823X 311 08$a9783031116117 311 08$a3031116119 327 $aChapter 1: The introduction of the portfolio management and risk evaluation -- Chapter 2: The major trends in financial portfolio management -- Chapter 3: Machine Learning and AI in financial portfolio management -- Chapter 4: Introduction of Alternative data in Finance -- Chapter 5: Alternative Data utilization from country perspective -- Chapter 6: Smart Beta and Risk Factors based on Textural Data and Machine Learning -- Chapter 7: Smart Beta and Risk Factors based on IoTs and AIoTs Data -- Chapter 8: Environmental, Social Responsibility and Corporate Governance on Corporations -- Chapter 9: Case Study ? Fraud and Deception Detection: Text-based Data Analytics -- Chapter 10: Case Study ? Investment Risk Analysis based on Sentiment Analysis and implementation -- Chapter 11: Case Study ? Analyzing the corporation performance with ESG Factors -- Chapter 12: Alternative Data Visualization in Python. 330 $aThis book introduces a state-of-art approach in evaluating portfolio management and risk based on artificial intelligence and alternative data. The book covers a textual analysis of news and social media, information extraction from GPS and IoTs data, and risk predictions based on small transaction data, etc. The book summarizes and introduces the advancement in each area and highlights the machine learning and deep learning techniques utilized to achieve the goals. As a complement, it also illustrates examples on how to leverage the python package to visualize and analyze the alternative datasets, and will be of interest to academics, researchers, and students of risk evaluation, risk management, data, AI, and financial innovation. Qingquan Tony Zhang is an Adjunct Professor at the University of Illinois at Champaign, R.C. Evan Fellow, Gies Business School, focusing on finance, quantitative investment and entrepreneurship. He is President of the Chicago chapter of the Chinese American Association for Trading and Investment, who has long worked in FinTech, including artificial intelligence and big data. Beibei Li is an Associate Professor of IT & Management and Anna Loomis McCandless Chair at Carnegie Mellon University. Dr. Li has extensive experience at leveraging large-scale observational data analytics and experimental analysis with a strong focus on modeling individual user behavior across online, offline, and mobile channels for decision support. Danxia Xie is an Associate Professor in Economics at Tsinghua University, China. Dr. Xie?s teaching and research focuses on digital economy, finance, law and economics, and macroeconomics. Dr. Xie has also worked at Peterson Institute for International Economics, a top think tank at Washington, DC. 410 0$aPalgrave Studies in Risk and Insurance,$x2523-823X 606 $aFinancial risk management 606 $aFinancial engineering 606 $aValuation 606 $aRisk Management 606 $aFinancial Technology and Innovation 606 $aInvestment Appraisal 615 0$aFinancial risk management. 615 0$aFinancial engineering. 615 0$aValuation. 615 14$aRisk Management. 615 24$aFinancial Technology and Innovation. 615 24$aInvestment Appraisal. 676 $a658.155 676 $a332.1028563 700 $aZhang$b Qingquan Tony$01265561 702 $aLi$b Beibei 702 $aXie$b Danxia 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910624306803321 996 $aAlternative data and artificial intelligence techniques$93071094 997 $aUNINA