Intro; Preface; Contents; The Shape of Things to Come-Using Geometric and Morphometric Analyses to Identify Archaeological Starch Grains; 1 Introduction; 2 Experimental Methods; 2.1 Geometric and Morphometric Features; 3 Starch Grain Classification; 4 Discussion; References; New Mathematical Models of Antimalarial Drug Action to Improve Drug Dosing Regimens; 1 Introduction; 2 Model; 2.1 Results; References; Biodiversity and the Ecology of Emerging Infectious Diseases; 1 Introduction; 2 The Model; 3 Conclusion; References; Reaction-Diffusion Equations and Cellular Automata; 1 Introduction.
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1 The History of the Activated Sludge Process2 Too Much of Anything Is Bad; 2.1 Sludge Reduction Through Sludge Disintegration; 2.2 Sludge Reduction Through Predation; 3 Conclusions; References; Incorporating Prior Knowledge in the Calibration of Hydrological Models for Water Resources Forecasting; 1 Introduction; 2 Method; 2.1 Likelihood Function; 2.2 Priors and Sampling Strategy; 2.3 Validation Strategy; 2.4 Test Catchments; 3 Results; 4 Discussion and Conclusion; References; Maintaining Reliable Agriculture Productivity and Goyder's Line of Reliable Rainfall; 1 Introduction; 2 Rainfall.
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2 Allen-Cahn Cellular Automaton3 Gray-Scott Cellular Automaton; 4 Concluding Remarks; References; Geometry of Timelike Minimal Surfaces and Null Curves; 1 Introduction; 2 Preliminaries; 3 The Behavior of the Gaussian Curvature Near Regular Points; 4 The Behavior of the Gaussian Curvature Near Singular Points; References; Accounting for Modelling Errors in Parameter Estimation Problems: The Bayesian Approximation Error Approach; 1 Introduction; 2 Theory; 3 Homogenisation Example; References; Reducing Sludge Formation in the Activated Sludge Process.
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2.1 Goyder's Line of Reliable Rainfall3 Modelling Accumulated Rainfall; 3.1 The Gamma Distribution; 3.2 Results; 4 Conclusions; References; Vertex Representation of Convex Hulls for Fast Evaluation of Boundary Constraints in Model-Based Calibration for Automotive Engines; 1 Introduction; 2 Application of the Convex Hull: An Optimization Problem in the MBC Response Surface Methodology; 2.1 Convex Hull and Optimization Problems in MBC; 2.2 Numerical Experiment for a Diesel Engine Data Set; 3 Conclusion; References.
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Mathematical Modeling of Rock Pore Geometry and Mineralization: Applications of Persistent Homology and Random Walk1 Introduction; 2 Persistent Homology for Rock Pore Modeling; 2.1 Methods; 2.2 Results and Discussions; 3 Random Walk in Rock Mineralization Modeling; 3.1 Methods; 3.2 Results and Discussions; 4 Conclusions; References; Statistical Machine Learning for Agriculture and Human Health Care Based on Biomedical Big Data; 1 Introduction; 2 Methods for Metabolic Pathway Reconstruction; 2.1 Formalism; 2.2 Predictive Model; 2.3 L1-Regularized Pairwise Support Vector Machine (L1SVM).
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SUMMARY OR ABSTRACT
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This book is a collection of papers presented at the 'Forum "Math-for-Industry" 2016 ' (FMfl2016), held at Queensland University of Technology, Brisbane, Australia, on November 21-23, 2016. The theme for this unique and important event was "Agriculture as a Metaphor for Creativity in All Human Endeavors", and it brought together leading international mathematicians and active researchers from universities and industry to discuss current challenging topics and to promote interactive collaborations between mathematics and industry. The success of agricultural practice relies fundamentally on its interconnections with and dependence on biology and the environment. Both play essential roles, including the biological adaption to cope with environmental challenges of biotic and abiotic stress and global warming. The book highlights the development of mathematics within this framework that successful agricultural practice depends upon and exploits.