Simultaneous mass transfer with biochemical and chemical reactions is a complex subject, particular with the need to develop a clear-cut method in engineering design where these processes occur. This book provides such an approach to develop an applicable design.All known design approaches are carefully examined and compared, with emphasis on the advantages and disadvantages in the selection of design methods. This involves carefully stating, comparing and assessing the theoretical basis of each design model. Carefully developed Existence and Uniqueness Theorems for the general design model are developed and established; step-by-step design guidelines provided.

Preface1. INTRODUCTION TO SIMULTANEOUS MASS TRANSFER AND CHEMICAL REACTIONS IN ENGINEERING SCIENCE1.1 Mathematical Models 1.2 Diffusion Models for Environmental Transport2. DATA ANALYSIS USING R PROGRAMMING 2.1 Data and Processing2.2 Beginning R2.2.1 A First Session Using R2.2.2 The R Environment2.3 R as a Calculator2.3.1 Mathematical Operations Using R2.3.2 Assignment of Values in R, and Computations using Vectors and Matrices2.3.3 Computations in Vectors and Simple Graphics2.3.4 Use of Factors in R Programming2.3.5 Simple Graphics2.3.6 x as Vectors and Matrices in Statistics2.3.7 Some Special Functions that Create Vectors2.3.8 Arrays and Matrices 2.3.9 Use of the Dimension Function dim in R2.3.10 Use of the Matrix Function matrix in R2.3.11 Some Useful Functions Operating on Matrices in R2.3.12 NA `Not Available? for Missing Values in Datasets2.3.13 Special Functions That Create Vectors2.4 Using R in Data Analysis in Human Genetic Epidemiology2.4.1 Entering Data at the R Command Prompt2.4.1.1 Creating a data-frame for R computation using the EXCEL spreadsheet (on a Windows platform)2.4.1.2 Obtaining a Data Frame from a Text File2.4.1.3 Data Entry and Analysis Using the Function data.entry()2.4.1.4 Data Entry Using Several Available R Functions2.4.1.5 Data Entry and Analysis Using the Function 2.4.1.6 Data Entry and Analysis Using the Function source()2.4.1.7 Data Entry and Analysis Using the Spreadsheet Interface in R2.4.1.8 Human Genetic epidemiology Using R: The CRAN Package GASTON in Genetics2.4.2 The Function list() and the Making of data.frame() in R2.5 Univariate, Bivariate, and Multivariate Data Analysis2.5.1 Univariate Data Analysis2.5.2 Bivariate and Multivariate Data Analysis2.6 Some Final Remarks on Statistics and Biostatistics, Using Appendix 1 Documentation for the plot functionSpecial References for Chapter 2ReferencesIndex