Applications of Monte Carlo Methods in Biology, Medicine and Other Fields of Science

InTech, 2011. — 438 p. In an attempt to focus attention on a manageable set of applications, the main thrust of this book is to emphasize applications of Monte Carlo simulation methods in biology and medicine. This volume is an eclectic mix of applications of Monte Carlo methods in many fields of research should not be surprising, because of the ubiquitous use of these methods in many fields of human endeavor. Contents Bias Monte Carlo Methods in Environmental Engineering Monte-Carlo Simulation of a Multi-Dimensional Switch-Like Model of Stem Cell Differentiation Application of Monte Carlo Simulation and Voxel Models to Internal Dosimetry Applications of Monte Carlo Simulation in Modelling of Biochemical Processes Applications to Development of PET/SPECT System by Use of Geant4 Applying Dynamic Monte Carlo Simulation for Living Free Radical Polymerization Processes: Emphasis on Atom Transfer Radical Polymerization (ATRP) Monte Carlo Simulations for Beam Delivery Line Design in Radiation Therapy with Heavy Ion Beams A Monte Carlo Simulation for the Construction of Cytotoxic T Lymphocytes Repertoire Application of Monte Carlo Simulation in Treatment Planning for Radiation Oncology Dosimetric Characteristics of the Brachytherapy Sources Based on Monte Carlo Method Evaluation of the Respiratory Motion Effect in Small Animal PET Images with GATE Monte Carlo Simulations Fiber-optic Raman Probe Coupled with a Ball Lens for Improving Depth-resolved Raman Measurements of Epithelial Tissue: Monte Carlo Simulations Monte Carlo Simulations of Powerful Neutron Interaction with Matter for the Goals of Disclosure of Hidden Explosives and Fissile Materials and for Treatment of Cancer Diseases versus their Experimental Verifications HERWIG: a Monte Carlo Program for QCD at LHC Monte Carlo Simulation of TLD Response Function: Scatterd Radiation Application Monte Carlo Implementations of Two Sex Density Dependent Branching Processes and their Applications in Evolutionary Genetics Monte Carlo Modeling of Light Propagation in Neonatal Skin Monte-Carlo Simulation of Ionizing Radiation Tracks Monte Carlo Simulation Tool of Evanescent Waves Spectroscopy Fiber - Optic Probe for Medical Applications (FOPS 3D) Strain Effects in p-type Devices using Full-Band Monte Carlo Simulations Utilizing Monte Carlo Simulation for Valuation: the Case of Barrier Options under Stochastic Interest Rates A rapidly Mixing Monte Carlo Method for the Simulation of Slow Molecular Processes The biochemical models describing complex and dynamic metabolic systems are typically multi-parametric and non-linear, thus the identification of their parameters requires nonlinear regression analysis of the experimental data. The stochastic nature of the experimental samples poses the necessity to estimate not only the values fitting best to the model, but also the distribution of the parameters, and to test statistical hypotheses about the values of these parameters. In such situations the application of analytical models for parameter distributions is totally inappropriate because their assumptions are not applicable for intrinsically non-linear regressions. That is why, Monte Carlo simulations are a powerful tool to model biochemical processes This Volume Is An Eclectic Mix Of Applications Of Monte Carlo Methods In Many Fields Of Research Should Not Be Surprising, Because Of The Ubiquitous Use Of These Methods In Many Fields Of Human Endeavor. In An Attempt To Focus Attention On A Manageable Set Of Applications, The Main Thrust Of This Book Is To Emphasize Applications Of Monte Carlo Simulation Methods In Biology And Medicine.