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[null,"1.","Record Nr.",null,"UNIORUON00419017"]
[null,null,"Autore",null,"BARKER, T.C."]
[null,null,"Titolo",null,"A History of London transport : passenger travel and the devolpment of the metropolis / T. C. Barker ; Michael Robbins"]
[null,null,"Pubbl/distr/stampa",null,"London, : George Allne, 1975"]
[null,null,"Descrizione fisica",null,"xxxii, 414 p. : ill. ; 24 cm."]
[null,null,"Disciplina",null,"820.9358"]
[null,null,"Soggetti",null,"LETTERATURA INGLESE - Sec. 19. - Studi"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNISA996503551603316"]
[null,null,"Titolo",null,"City, Society, and Digital Transformation [[electronic resource] ] : Proceedings of the 2022 INFORMS International Conference on Service Science / / edited by Robin Qiu, Wai Kin Victor Chan, Weiwei Chen, Youakim Badr, Canrong Zhang"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022"]
[null,null,"ISBN",null,"3-031-15644-7"]
[null,null,"Edizione",null,"[1st ed. 2022.]"]
[null,null,"Descrizione fisica",null,"1 online resource (475 pages)"]
[null,null,"Collana",null,"Lecture Notes in Operations Research, , 2731-0418"]
[null,null,"Disciplina",null,"260"]
[null,null,"Soggetti",null,"Operations research"]
[{"$nulls":4},"Service industries"]
[{"$nulls":4},"Production management"]
[{"$nulls":4},"Quantitative research"]
[{"$nulls":4},"Computer science—Mathematics"]
[{"$nulls":4},"Business information services"]
[{"$nulls":4},"Operations Research and Decision Theory"]
[{"$nulls":4},"Services"]
[{"$nulls":4},"Operations Management"]
[{"$nulls":4},"Data Analysis and Big Data"]
[{"$nulls":4},"Mathematical Applications in Computer Science"]
[{"$nulls":4},"IT in Business"]
[{"$nulls":4},"Ciències empresarials"]
[{"$nulls":4},"Congressos"]
[{"$nulls":4},"Llibres electrònics"]
[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,"Intro -- Contents -- 1 A Penalized Neural Network Model for Predicting Unobserved Scores of Construct Indicators and Reproducing Latent Scores of the Theoretical Constructs by Using Text Information -- Introduction -- Related Research -- Methods and Materials -- Proposed Model -- Data Collection and Preprocessing -- Model Estimation and Validation -- Results and Discussion -- Concluding Remarks -- References -- 2 Deep Learning-Based Prediction of Mechanical Ventilation Reintubation in Intensive Care Units -- "]
[{"$nulls":4},"Introduction -- Data Set -- Methods -- Experiments and Results -- Summary -- References -- 3 Mitigating Braess's Paradox with Information Design -- Introduction -- Literature Review -- Model -- Full Information -- Information Design -- Conclusions -- References -- 4 The Impact of Electronic Shelf Label on Customer Well-Being in the Omnichannel Smart Retail -- Introduction -- Literature Review -- Electronic Shelf Label (ESl) -- Customer Wellbeing -- Method -- Samples and Data Collection Procedure -- Data Analysis -- Results and Discussions -- Conclusions and Implications -- References -- 5 Targeted Bayesian Persuasion in a Basic Selfish Routing Game -- Introduction -- Model Setup -- Travellers' Equilibrium Route Choice -- Optimal Persuasion Policy -- Conclusion -- References -- 6 Stochastic Churn Modeling with Dynamic Attribution and Bayesian Estimation -- Introduction -- General Problem and Models -- Contractual Churn and Probability Modeling -- Probability Churn Models from Marketing -- Empirical Methods and Data -- EMS Workforce Data -- Bayesian Estimation and Inference -- Data Analysis -- Conclusion -- References -- 7 Trade Credit Pricing with Retailer's Capital Heterogeneity -- Introduction -- Literature Review -- Model -- Optimal Wholesale Pricing -- Conclusions -- References."]
[{"$nulls":4},"8 Systemic Risk Spillover Analysis of China's Banking Industry Based on Generalized Variance Decomposition Network -- Introduction -- Literature Review -- Model Construction and Description -- Volatility Model -- Risk Spillover Network Model -- Empirical Analysis of the Systemic Risk Spillover Effect -- Data Sources and Basic Statistical Analysis -- Static Risk Spillover Analysis -- Dynamic Risk Spillover Analysis -- Risk Spillover Network Analysis -- Conclusion -- References -- 9 Can We Apply Traditional Forecasting Models to Predicting Bitcoin? -- Introduction -- Methods -- Rejected Models -- Selected Models -- Variable Selection and Model Optimization -- Variable Selection and Model Optimization for ARIMA -- Data Analysis -- Data Analysis-Logistic Regression -- Model 1-Logistic Regression -- Model 2: Logistic Regression with Training/Testing Data -- Model 3: Logistic Regression with Moving Average -- Concerns of Correlation -- Data Analysis-ARIMA -- Model #4: ARIMA Model -- Dickey-Fuller Test -- ARIMA Analysis -- Model 5: ARIMA with Moving Average -- Summary -- References -- 10 Research on the Integration of Market Supervision Big Data from the Perspective of Life Cycle-Take the Jiangsu Provincial Market Supervision Bureau as an Example -- Introduction -- Current Situation and Challenges of Market Supervision Data Management in Jiangsu Province -- The Current Situation of Data Management -- The Challenges of Data Management -- The Integration of Market Supervision Big Data from the Perspective of Life Cycle -- Data Collection -- Data Processing -- Data Storage -- Data Integration -- Data Sharing -- Summary and Outlook -- References -- 11 Group-Level Human Affect Recognition with Multiple Graph Kernel Fusion -- Introduction -- Related Work -- Methodology -- Problem Formulation -- Graph Kernel Construction."]
[{"$nulls":4},"From SVM to Deep Multiple Kernel Learning -- Experiment -- Database Description -- Ablation Study -- Comparison with SVM and MKL -- Algorithm Comparison -- Conclusion -- References -- 12 An Anticipative Order Reservation and Online Order Batching Algorithm Based on Machine Learning -- Introduction -- Literature Review -- Static Order Batching Problem -- On-Line Order Batching Problem -- Machine Learning Method on Order Batching -- Problem Description -- Warehouse and Data Description -- Model -- Methodology -- An Anticipative Order Reservation Mechanism -- Reserving Algorithm -- Algorithm of OOBPRM -- Benchmark Algorithm -- Result -- "]
[{"$nulls":4},"Instances and Parameters -- Sensitivity Analysis of Threshold -- Numerical Experiments -- Summary -- References -- 13 Human-Robotic Collaborative Mode Analysis in Human-Robotic Collaborative Order Picking Systems -- Introduction -- Literature Review -- Collaborative Modes and Modelling -- Assumptions and Notation -- Mode1: Couple -- Mode2: Robot-In-Lead -- Mode3: Picker-In-Lead -- Solution Method for Queueing Network -- Estimation of Load-Dependent Service Rate of FJQN -- Estimation of the Performance Measures of SOQN -- Analytical Model Validation and Numerical Experiments -- Validation with Simulation -- Resource Allocation and Zoning Strategy -- Summary -- References -- 14 Electric Power Personal Accident Evolution Analysis Based on Event Evolutionary Graph -- Introduction -- Proposed Framework -- Relationship Recognition -- Event Extraction -- Event Generalization -- Experiment -- Data Pre-Process -- Electric Power Personal Casualty Accident EEG Generation -- Electric Power Personal Casualty Accident Abstract EEG Generation -- Electric Power Personal Casualty Accident Evolution Analysis -- Conclusion -- References -- 15 Research on Suicide Risk Spectrum of Prisoners Based on Fourier Transform -- Introduction."]
[{"$nulls":4},"Related Work -- Methods -- Influencing Factors -- Basic Model -- Integrated model -- Experiments -- Simulation of Overall Prisoner Suicide Risk -- Simulation of Specific Prisoner Groups -- Frequency Domain Analysis -- Results -- Conclusion -- References -- 16 A Deep Learning Model for Mining Behavioral Preference of Home Care Demanders to Suppliers -- Introduction -- Literature Review -- Problem Formulation -- General Framework of the User Behavioral Preference Mining -- Input Layer -- Embedding Layer -- Preferred Feature Mining Layer -- Prediction Layer -- Training Layer -- Experiments and Results -- Data Preparation -- Parameter Setting and Operating Environment -- Experimental Results -- Summary -- References -- 17 Dynamic Ranking of Physicians in Online Healthcare Platforms with Multiple Service Types -- Introduction -- Literature Review -- Choice Models -- Dynamic Resource Allocation -- Problem Formulation -- Static Ranking Problem -- Dynamic Programming Formulation -- Dynamic Ranking Methods -- Inventory Balancing Methods -- Linear Approximation Methods -- Benchmark Methods -- Numerical Experiment -- Numerical Experiment Design -- Numerical Results -- Conclusion -- References -- 18 Analysis on Technological Innovation Efficiency in Equipment Manufacturing Industry -- Introduction -- Research Methods -- Data Envelopment Analysis -- Malmquist Productivity Index -- Grey Relation Model -- Index Selection and Data Sources -- Indicators Selection -- Data Sources -- Empirical Research -- Static Efficiency Measurement -- Dynamic Efficiency Analysis -- Analysis of Influencing Factors Based on GRA -- Summary and Thinking -- References -- 19 Bikes Detention Game in Free-Float Bike Sharing Systems -- Introduction -- Model Setup -- Analysis -- The Network Model of Bikes Detention Game -- Numerical Experiments -- Conclusion -- Appendix.Proof -- References."]
[{"$nulls":4},"20 On the Value of Orderly Charging in Improving Power Grid Resilience -- Introduction -- References -- Problem Description and Formulation -- Model Assumptions -- Parameter -- Orderly Charging Scheduling Model -- Model Formulation -- Solution Approach -- Numerical Study -- Data Descriptions: Monte Carlo Simulation -- Orderly Charging Scheduling Policy Performance -- Influence of Objective Function Coefficients -- Conclusions and Future Work -- References -- 21 Mixed-Integer Linear Programming Formulations for the Inbound Container Remarshaling Problem in an Automated Container Terminal -- Introduction -- Literature Review -- Problem Definition -- Mixed-"]
[{"$nulls":4},"Integer Linear Programming Formulations -- Move-Based Model -- Allocation-Based Model -- Numerical Experiments -- Conclusion -- References -- 22 Products and Services Bundling Under Horizontal Market Competitions -- Introduction -- Literature Review -- Model Setup and Equilibrium Analysis -- Scenario 1: A Bundling and B Bundling -- Scenario 2: A Product and B Service -- Comparison and Discussion -- Conclusion -- References -- 23 Robust Facility Location Selection Under Facility Failure in Close-Loop Supply Chain -- Introduction -- Reference -- Problem Description and Formulation -- Parameter -- Two Stage Robust Optimization Model -- Model Formulation -- Robust Model Transformation -- Numerical Study -- Conclusions and Future Work -- Bibliography -- 24 Analysis of Factors Influencing the Selection of Billing Model for Whole-Process Engineering Consulting Services Based on DEMATEL-ISM -- Introduction -- Literature Review -- Framework and Critical Factors for the Selection of Billing Model for Whole- Process Engineering Consulting Services -- Factor Analysis and Results -- DEMATEL-ISM -- Factor Attribute Analysis Based on DEMATEL -- Hierarchy of Factors Using ISM."]
[{"$nulls":4},"DEMATEL-ISM Model of Factors in the Billing of Whole-Process Engineering Consulting Service."]
[null,null,null,"Sommario/riassunto","This book showcases recent research advances in service science and related fields. Including selected papers from the 2022 INFORMS International Conference on Service Science, held in Shenzhen, China from July 2 to 4, 2022, the book presents new theories and empirical results in the emerging, interdisciplinary field of digital transformation and society. Incorporating research, education and practice alike, the respective chapters highlight a host of ways to approach these challenges in service science."]