Modeling, Dynamics, Optimization and Bioeconomics IV

Foreword
Acknowledgements
Contents
Immune Response Model Fitting to CD4+ T Cell Data in Lymphocytic Choriomeningitis Virus LCMV infection
1 Introduction
2 Immune Response Model
3 Simulations and Fits
4 Discussion
5 Conclusions
References
Construction of a New Model to Investigate Breast Cancer Data
1 Introduction
2 Mathematical Models
3 Application
3.1 Data Description
3.2 Results
4 Conclusion
References
Optimal Pension Fund Management Under Risk and Uncertainty: The Case Study of Poland
1 Introduction
2 Optimal Management of Defined Contribution Pension Funds Under Model Uncertainty
3 A Simple Model
3.1 The Financial Market
3.2 The Stochastic Salary
3.3 Contributions
3.4 Stochastic Differential Equation for the Fund's Wealth
3.5 Model Uncertainty Concerns
4 Risk Distribution and Design of Pension Scheme: A Case Study of Poland
4.1 Design of Polish Pension Scheme from the Point of View of Risk Management
4.2 Analysis of Investment Policy and Risk Management in Open Pension Funds
4.3 Risk in Occupational Pension Schemes
4.4 Analysis of Risk Management in Some of the PPEs in Poland
4.5 Analysis of Investment Policy and Risk Management in Individual Additional Pension Schemes
4.6 Conclusions Concerning Managing Additional Pension Schemes in Poland
5 Concluding Remarks
References
Collaborative Innovation of Spanish SMEs in the European Context: A Compared Study
1 Introduction
2 Innovation in the SMEs: Brief Literature Review
3 Data, Methodology and Analysis
4 Conclusions
References
Haar Systems, KMS States on von Neumann Algebras and C*-Algebras on Dynamically Defined Groupoids and Noncommutative Integration
1 The Groupoid Associated to a Partition
2 Kernels and Transverse Functions
3 Quasi-invariant Probabilities
4 Von Neumann Algebras Derived from Measured Groupoid
5 Noncommutative Integration and Quasi-invariant Probabilities
6 C*-Algebras Derived from Haar Systems
7 Examples of Quasi-stationary Probabilities
References
Mixed Compression Air-Intake Design for High-Speed Transportation
1 Introduction
2 Design Methodology
2.1 Design Parameters
2.2 Computational Fluid Dynamics Simulations
2.3 Performance Assessment of Air-Intake System
2.4 Validation of CFD Simulations and Numerical Setup
3 Component Design
3.1 Cowl Lip
3.2 Bleeding System
4 Conclusion
References
Social Entrepreneurship Business Models for Handicapped People—Polish & Turkish Case Study of Sharing Public Goods by Doing Business
1 Introduction
2 Entrepreneurship as a Part of Social Economy
3 Entrepreneurial Barriers
4 Social Entrepreneurship Business Models
4.1 NSHAREPLATFORM as a Business Model
4.2 MIGPORT as a Liberated Social Entrpreneur Business Plan
5 Conclusions
References
An Iterative Process for Approximating Subactions
1 Introduction
2 The 1/2 Iterative Procedure
3 Generic Properties
4 Perturbation Theory: Close by the Fixed Point
References
``Beat the Gun'': The Phenomenon of Liquidity
1 Introduction
2 Liquidity
3 Percolation Model
3.1 Percolation and Finance
3.2 The Structure of the Model
4 Rules Definitions and Simulations
4.1 Rules Definitions
4.2 Simulations
5 Conclusions
References
Board Knowledge and Bank Risk-Taking. An International Analysis
1 Introduction
2 Brief Literature Review and Hypotheses
3 Data, Variables and Methodology
4 Descriptive Statistic and Results
5 Conclusions
References
The Shopping Experience in Virtual Sales: A Study of the Influence of Website Atmosphere on Purchase Intention
1 Introduction
2 Theoretical Foundations
3 Objectives and Hypotheses
4 Research Method
4.1 Sample Design
4.2 Statistical Analysis
5 Results
6 Conclusions
References
European Mobile Phone Industry: Demand Estimation Using Discrete Random Coefficients Models
1 Introduction
2 Mobile Phone Industry
3 The Model
4 Data and Estimation
4.1 The Data
4.2 Estimation
4.3 The Estimation Set-Up and Assumptions
4.4 Instruments
5 Results
5.1 Estimation Without Country Dummies and Without Demographics
5.2 Estimation with Demographics
6 Concluding Remarks
References
On Bertelson-Gromov Dynamical Morse Entropy
1 Introduction
2 The XY Model
3 The General Model—The Dynamical Morse Entropy
4 Cohomology
5 Critical Points
6 Properties of b(c)
7 An Example
8 About the Definition of b(c)
References
Synchronisation of Weakly Coupled Oscillators
1 Introduction
2 Forced Oscillations
3 Invariant Manifolds
4 Synchronization of Several Coupled Forced Oscillators
5 An Equation of Order N
6 Two n Dimensional Coupled Systems
7 Synchronization of Two Chaotic Oscillators
8 Oscillators Coupled by Medium
9 Conclusion
References
Demand Forecasting with Clustering and Artificial Neural Networks Methods: An Application for Stock Keeping Units
1 Introduction
2 Literature Review
3 Solution Approaches For Demand Forecasting for the Sanitary Company
3.1 Data Collection and Analysis
3.2 Determination of Product Clusters
3.3 Forecasting with Artificial Neural Networks
4 Computational Results
5 Conclusion
References
On the Grey Obligation Rules
1 Introduction
2 Preliminaries
3 Minimum Grey Cost Spanning Tree Games
4 Grey Obligation Rules
5 Grey Cost Monotonicity and PMGAS
6 Conclusion
References
Robustness Checks in Composite Indices: A Responsible Approach
1 Introduction
2 Literature Review
3 Index Construction
4 Robustness Checks
4.1 Input Factor Definition
4.2 Results
5 Conclusion
References
A Logic-Based Approach to Incremental Reasoning on Multi-agent Systems
1 Introduction
1.1 A Motivating Example: Alternation of Data Streams
1.2 Novelty of the Contribution: Logical Tools
1.3 Strongly Distributed MAS's
1.4 Incremental Reasoning
1.5 Structure of the Contribution
2 Related Work
3 Modeling Intelligent Agents as Logical Structures
3.1 Finite State Machine and Its Behaviour as Logical Structures
3.2 Expressive Power of MSOL on Finite State Machines
3.3 Parallel Runs of Intelligent Agents with Message Passing
4 Motivating Example: Cooperation of Three Intelligent Agents
5 Disjoint Union and Shuffling of Structures
6 Syntactically Defined Translation Schemes
7 Strongly Distributed Systems
8 Complexity Analysis
8.1 Scenario A: Single Computation on Repetitive Structures
8.2 Scenario B: Incremental Re-computations
8.3 Scenario C: Parallel Computations
8.4 Scenario D: Parallel Activities on Distributed Environments
9 Description of the Method
10 Conclusion and Outlook
11 Extensions of First Order Logic
11.1 Complexity of Computation for Extensions of First Order Logic
12 Weighted Monadic Second Order Logic
12.1 Definition of WMSOL
12.2 Expressive Power of Weighted Monadic Second Order Logic
13 Proof of Theorem4 for MTCm
References