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• Simple resonance regions of torus diffeomorphisms.- A minimal model for spatio-temporal patterns in thin film flow.- Localized and extended patterns in reactive media.- Some recent results in chemical reaction network theory.- Genericity, bifurcation and symmetry.- Dynamics of some electrochemical reactions.- Construction of the Fitzhugh-Ngumo pulse using differential forms.- Kinetic polynomial: A new concept of chemical kinetics.- Convergence of travelling waves for phase field equations to sharp interface models in the singular limit.- Standing and propagating temperature waves on electrically heated catalytic surfaces.- Mixed-mode oscillations in the nonisothermal autocatalator.- Bifurcations and global stability in surface catalyzed reactions using the Monte Carlo method.
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Ever since the seminal works on traveling waves and morphogenesis by Fisher, by Kolmogorov, Petrovski and Piscunov, and by Turing, scientists from many disciplines have been fascinated by questions concerning the formation of steady or dynamic patterns in reactive media. Contributions to this volume have been made by chemists, chemical engineers, mathematicians (both pure and applied), and physicists. The topics covered range from reports of experimental studies, through descriptions of numerical experiments, to rather abstract theoretical investigations, each exhibiting different aspects of a very diverse field.
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• An Overview of Meteorological Data Assimilation
• A Review of Methods for Objective Analysis
• Normal Mode Initialization
• Assimilation of Asynoptic Data and the Initialization Problem
• Applications of Estimation Theory to Numerical Weather Prediction
• Convergence of Assimilation Procedures
• Some Climatological and Energy Budget Calculations Using the FGGE III-b Analyses During January 1979
• Appendix Provisional Report on Calculation of Spatial Covariance and Autocorrelation of the Pressure Field
• A. Eliassen.

One of the main reasons we cannot tell what the weather will be tomorrow is that we do not know accurately enough what the weather is today. Mathematically speaking, numerical weather prediction (NWP) is an initial-value problem for a system of nonlinear partial differential equations in which the necessary initial values are known only incompletely and inaccurately. Data at the initial time of a numerical forecast can be supplemented, however, by observations of the atmos phere over a time interval preceding it. New observing systems, in particular polar-orbiting and geostationary satellites, which are providing observations continuously in time, make is absolutely necess ary to find new and more satisfactory methods of assimilating meteorological observations - for the dual purpose of defining atmospheric states and of issuing forecasts from the states thus defined. FUndamental progress in this area has been made in recent years and this book attempts to give a review and some suggestions for further improvements in the field of meteorological data assimila tion methods. The European Centre for Medium Range Weather Forecasts (ECMWF) every year organises seminars for the benefit of meteorologists and geophysicists of the ECMWF Member states. The 1980 Seminar was devoted to data assimilation methods, and this book contains selected lectures from that seminar. The purpose of the seminar was twofold: it was intended to give a basic introduction to the subject, as well as an overview of the latest developments in the field.

• I. Adaptive Algorithms: Applications.- 1. General Adaptive Algorithm Form.- 1.1 Introduction.- 1.2 Two Basic Examples and Their Variants.- 1.3 General Adaptive Algorithm Form and Main Assumptions.- 1.4 Problems Arising.- 1.5 Summary of the Adaptive Algorithm Form: Assumptions (A).- 1.6 Conclusion.- 1.7 Exercises.- 1.8 Comments on the Literature.- 2. Convergence: the ODE Method.- 2.1 Introduction.- 2.2 Mathematical Tools: Informal Introduction.- 2.3 Guide to the Analysis of Adaptive Algorithms.- 2.4 Guide to Adaptive Algorithm Design.- 2.5 The Transient Regime.- 2.6 Conclusion.- 2.7 Exercises.- 2.8 Comments on the Literature.- 3. Rate of Convergence.- 3.1 Mathematical Tools: Informal Description.- 3.2 Applications to the Design of Adaptive Algorithms with Decreasing Gain.- 3.3 Conclusions from Section 3.2.- 3.4 Exercises.- 3.5 Comments on the Literature.- 4. Tracking Non-Stationary Parameters.- 4.1 Tracking Ability of Algorithms with Constant Gain.- 4.2 Multistep Algorithms.- 4.3 Conclusions.- 4.4 Exercises.- 4.5 Comments on the Literature.- 5. Sequential Detection
• Model Validation.- 5.1 Introduction and Description of the Problem.- 5.2 Two Elementary Problems and their Solution.- 5.3 Central Limit Theorem and the Asymptotic Local Viewpoint.- 5.4 Local Methods of Change Detection.- 5.5 Model Validation by Local Methods.- 5.6 Conclusion.- 5.7 Annex: Proofs of Theorems 1 and 2.- 5.8 Exercises.- 5.9 Comments on the Literature.- 6. Appendices to Part I.- 6.1 Rudiments of Systems Theory.- 6.2 Second Order Stationary Processes.- 6.3 Kaiman Filters.- II. Stochastic Approximations: Theory.- 1. O.D.E. and Convergence A.S. for an Algorithm with Locally Bounded Moments.- 1.1 Introduction of the General Algorithm.- 1.2 Assumptions Peculiar to Chapter 1.- 1.3 Decomposition of the General Algorithm.- 1.4 L2 Estimates.- 1.5 Approximation of the Algorithm by the Solution of the O.D.E.- 1.6 Asymptotic Analysis of the Algorithm.- 1.7 An Extension of the Previous Results.- 1.8 Alternative Formulation of the Convergence Theorem.- 1.9 A Global Convergence Theorem.- 1.10 Rate of L2 Convergence of Some Algorithms.- 1.11 Comments on the Literature.- 2. Application to the Examples of Part I.- 2.1 Geometric Ergodicity of Certain Markov Chains.- 2.2 Markov Chains Dependent on a Parameter ?.- 2.3 Linear Dynamical Processes.- 2.4 Examples.- 2.5 Decision-Feedback Algorithms with Quantisation.- 2.6 Comments on the Literature.- 3. Analysis of the Algorithm in the General Case.- 3.1 New Assumptions and Control of the Moments.- 3.2 Lq Estimates.- 3.3 Convergence towards the Mean Trajectory.- 3.4 Asymptotic Analysis of the Algorithm.- 3.5 "Tube of Confidence" for an Infinite Horizon.- 3.6 Final Remark. Connections with the Results of Chapter 1.- 3.7 Comments on the Literature.- 4. Gaussian Approximations to the Algorithms.- 4.1 Process Distributions and their Weak Convergence.- 4.2 Diffusions. Gaussian Diffusions.- 4.3 The Process U?(t) for an Algorithm with Constant Step Size.- 4.4 Gaussian Approximation of the Processes U?(t).- 4.5 Gaussian Approximation for Algorithms with Decreasing Step Size.- 4.6 Gaussian Approximation and Asymptotic Behaviour of Algorithms with Constant Steps.- 4.7 Remark on Weak Convergence Techniques.- 4.8 Comments on the Literature.- 5. Appendix to Part II: A Simple Theorem in the "Robbins-Monro" Case.- 5.1 The Algorithm, the Assumptions and the Theorem.- 5.2 Proof of the Theorem.- 5.3 Variants.- Subject Index to Part I.- Subject Index to Part II.
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Adaptive systems are widely encountered in many applications ranging through adaptive filtering and more generally adaptive signal processing, systems identification and adaptive control, to pattern recognition and machine intelligence: adaptation is now recognised as keystone of "intelligence" within computerised systems. These diverse areas echo the classes of models which conveniently describe each corresponding system. Thus although there can hardly be a "general theory of adaptive systems" encompassing both the modelling task and the design of the adaptation procedure, nevertheless, these diverse issues have a major common component: namely the use of adaptive algorithms, also known as stochastic approximations in the mathematical statistics literature, that is to say the adaptation procedure (once all modelling problems have been resolved). The juxtaposition of these two expressions in the title reflects the ambition of the authors to produce a reference work, both for engineers who use these adaptive algorithms and for probabilists or statisticians who would like to study stochastic approximations in terms of problems arising from real applications. Hence the book is organised in two parts, the first one user-oriented, and the second providing the mathematical foundations to support the practice described in the first part. The book covers the topcis of convergence, convergence rate, permanent adaptation and tracking, change detection, and is illustrated by various realistic applications originating from these areas of applications.
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• 1 Mathematical Thinking
• 2. Numbers 3 Algebra 4 Trigonometry 5 Analytic Geometry 6 Calculus 7 Series and Integrals 8 Differential Equations 9 Matrix Algebra 10 Multivariable Calculus 11 Vector Analysis 12 Special Functions 13 Complex Variables.
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This book reminds students in junior, senior and graduate level courses in physics, chemistry and engineering of the math they may have forgotten (or learned imperfectly) that is needed to succeed in science courses. The focus is on math actually used in physics, chemistry, and engineering, and the approach to mathematics begins with 12 examples of increasing complexity, designed to hone the student's ability to think in mathematical terms and to apply quantitative methods to scientific problems. Detailed illustrations and links to reference material online help further comprehension. The second edition features new problems and illustrations and features expanded chapters on matrix algebra and differential equations.
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• Mathematical Problems in the Kinetic Theory of Polymeric Fluids.- Lagrangian Concepts for the Numerical Analysis of Viscoelastic Flow.- Solutions with Shocks for Conservation Laws with Memory.- Hyperbolic Dynamics in the Flow of Elastic Liquids.- Rubbery Liquids in Theory and Experiment.- Dynamical Behavior Under Random Perturbation of Materials with Selective Reca 11.- Development of Singularities in Nonlinear Viscoelasticity.- Macromolecules in Elongational Flow: Metastabi1ity and Hysteresis.- Propagation of Discontinuities in Linear Viscoelasticity.- Strength and Entanglement Development at Amorphous Polymer Interfaces.- Author Index for Volumes 1 through 6.- Information about Other Volumes in this Program.
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This IMA Volume in Mathematics and its Applications AMORPHOUS POLYMERS AND NON-NEWTONIAN FLUIDS is in part the proceedings of a workshop which was an integral part of the 1984-85 IMA program on CONTINUUM PHYSICS AND PARTIAL DIFFERENTIAL EQUATIONS We are grateful to the Scientific Committee: Haim Brezis Constantine Dafermos Jerry Ericksen David Kinderlehrer for planning and implementing an exciting and stimulating year-long program. We espe- cially thank the Program Organizers, Jerry Ericksen, David Kinderlehrer, Stephen Prager and Matthew Tirrell for organizing a workshop which brought together scientists and mathematicians in a variety of areas for a fruitful exchange of ideas. George R. Sell Hans Weinberger Preface Experiences with amorphous polymers have supplied much of the motivation for developing novel kinds of molecular theory, to try to deal with the more significant features of systems involving very large molecules with many degrees offreedom. Similarly, the observations of many unusual macroscopic phenomena has stimulated efforts to develop linear and nonlinear theories of viscoelasticity to describe them. In either event, we are confronted not with a well-established, specific set of equations, but with a variety of equations, conforming to a loose pattern and suggested by general kinds of reasoning. One challenge is to devise techniques for finding equations capable of delivering definite and reliable predictions. Related to this is the issue of discovering ways to better grasp the nature of solutions ofthose equations showing some promise.
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• Bifurcation, pattern formation and chaos in combustion.- Mathematical investigation of the cold boundary difficulty in flame propagation theory.- Nonlinear development of low frequency one-dimensional instabilities for reacting shock waves.- Dynamics of laminar triple-flamelet structures in non-premixed turbulent combustion.- Free boundary problems and dynamical geometry associated with flames.- On the dynamics of weakly curved detonations.- Simplified equations for low mach number combustion with strong heat release.- Attractors and turbulence for some combustion models.- Linear stability of one-dimensional detonations.- Discrete modeling of beds of propellant exposed to strong stimulus.
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This IMA Volume in Mathematics and its Applications DYNAMICAL ISSUES IN COMBUSTION THEORY is based on the proceedings of a workshop which was an integral part of the 1989-90 IMA program on "Dynamical Systems and their Applications." The aim of this workshop was to cross-fertilize research groups working in topics of current interest in combustion dynamics and mathematical methods applicable thereto. We thank Shui-Nee Chow, Martin Golubitsky, Richard McGehee, George R. Sell, Paul Fife, Amable Liiian and Foreman Williams for organizing the meeting. We especially thank Paul Fife, Amable Liiilin and Foreman Williams for editing the proceedings. We also take this opportunity to thank those agencies whose financial support made the workshop possible: the Army Research Office, the National Science Foundation and the Office of Naval Research. Avner Friedman Willard Miller, Jr. ix PREFACE The world ofcombustion phenomena is rich in problems intriguing to the math- ematical scientist. They offer challenges on several fronts: (1) modeling, which involves the elucidation of the essential features of a given phenomenon through physical insight and knowledge of experimental results, (2) devising appropriate asymptotic and computational methods, and (3) developing sound mathematical theories. Papers in the present volume, which are based on talks given at the Workshop on Dynamical Issues in Combustion Theory in November, 1989, describe how all of these challenges have been met for particular examples within a number of common combustion scenarios: reactiveshocks, low Mach number premixed reactive flow, nonpremixed phenomena, and solid propellants.
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• 1 Introduction
• 1.1. Mean Curvature
• 1.2. Laplace's Equation
• 1.3. Angle of Contact
• 1.4. The Method of Gauss; Characterization of the Energies
• 1.5. Variational Considerations
• 1.6. The Equation and the Boundary Condition
• 1.7. Divergence Structure
• 1.8. The Problem as a Geometrical One
• 1.9. The Capillary Tube
• 1.10. Dimensional Considerations
• Notes to Chapter 1
• 2 The Symmetric Capillary Tube
• 2.1. Historical and General
• 2.2. The Narrow Tube; Center Height
• 2.3. The Narrow Tube; Outer Height
• 2.4. The Narrow Tube; Estimates Throughout the Trajectory
• 2.5. Height Estimates for Tubes of General Size
• 2.6. Meniscus Height; Narrow Tubes
• 2.7. Meniscus Height; General Case
• 2.8. Comparisons with Earlier Theories
• Notes to Chapter 2
• 3 The Symmetric Sessile Drop
• 3.1. The Correspondence Principle
• 3.2. Continuation Properties
• 3.3. Uniqueness and Existence
• 3.4. The Envelope
• 3.5. Comparison Theorems
• 3.6. Geometry of the Sessile Drop; Small Drops
• 3.7. Geometry of the Sessile Drop; Larger Drops
• Notes to Chapter 3
• 4 The Pendent Liquid Drop
• 4.1. Mise en Scène
• 4.2. Local Existence
• 4.3. Uniqueness
• 4.4. Global Behavior; General Remarks
• 4.5. Small
• 0 0.

Capillarity phenomena are all about us; anyone who has seen a drop of dew on a plant leaf or the spray from a waterfall has observed them. Apart from their frequently remarked poetic qualities, phenomena of this sort are so familiar as to escape special notice. In this sense the rise of liquid in a narrow tube is a more dramatic event that demands and at first defied explanation; recorded observations of this and similar occur rences can be traced back to times of antiquity, and for lack of expla nation came to be described by words deriving from the Latin word "capillus", meaning hair. It was not until the eighteenth century that an awareness developed that these and many other phenomena are all manifestations of some thing that happens whenever two different materials are situated adjacent to each other and do not mix. If one (at least) of the materials is a fluid, which forms with another fluid (or gas) a free surface interface, then the interface will be referred to as a capillary surface.

• 1 Scattering by Stripe Grating.- 1.1 The Physical Problem.- 1.2 Relation to the Time-dependent Problem.- 1.3 Form of Solutions for
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Building a bridge between mathematicians and industry is both a chal- lenging task and a valuable goal for the Institute for Mathematics and its Applications (IMA). The rationale for the existence of the IMA is to en- courage interaction between mathematicians and scientists who use math- ematics. Some of this interaction should evolve around industrial problems which mathematicians may be able to solve in "real time." Both Industry and Mathematics benefit: Industry, by increase of mathematical knowledge and ideas brought to bear upon their concerns, and Mathematics, through the infusion of exciting new problems. In the past ten months I have visited numerous industries and national laboratories, and met with several hundred scientists to discuss mathe- matical questions which arise in specific industrial problems. Many of the problems have special features which existing mathematical theories do not encompass; such problems may open new directions for research. However, I have encountered a substantial number of problems to which mathemati- cians should be able to contribute by providing either rigorous proofs or formal arguments. The majority of scientists with whom I met were engineers, physicists, chemists, applied mathematicians and computer scientists. I have found them eager to share their problems with the mathematical community. Often their only recourse with a problem is to "put it on the computer." However, further insight could be gained by mathematical analysis.
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• 1 Internal Oxidation of Binary Alloys.- 1.1 The model.- 1.2 The bifurcation diagram.- 1.3 Open problems.- 1.4 References.- 2 Fundamental Problems in the Theory of Shaped-Charged Jets.- 2.1 Formation of jets.- 2.2 Penetration of jets.- 2.3 Open problems.- 2.4 References.- 3 Mathematical Modeling of Dielectric Waveguides.- 3.1 Waveguide.- 3.2 Maxwell's equations.- 3.3 Homogeneous waveguide analysis
• normal modes.- 3.4 Inhomogeneous waveguide analysis: beam propagation technique.- 3.5 Electro-optic switch.- 3.6 Open problems and suggestions.- 3.7 References.- 4 A diffusion problem from rock porosity measurements.- 4.1 The model.- 4.2 Problems.- 4.3 References.- 5 Applications and modeling of diffractive optical elements.- 5.1 Overview of the technology.- 5.2 Need for mathematical modeling.- 5.3 Mathematical approach based on the Maxwell equations.- 5.4 References.- 6 An approach to optimal classification.- 6.1 Objects and probabilities of detection.- 6.2 An optimization procedure.- 6.3 Data fusion.- 6.4 Open questions.- 6.5 References.- 7 Polymer-dispersed liquid crystal films for light control.- 7.1 Operation and measurements.- 7.2 Scattering by a single optically isotropic particle.- 7.3 Light scattering from nematic droplets.- 7.4 Suggestions.- 7.5 References.- 8 Singularity problems in the stress analysis of semiconductor packaging.- 8.1 Semiconductor final manufacturing.- 8.2 Mathematical formulation.- 8.3 Numerical methods.- 8.4 Partial solution.- 8.5 References.- 9 Pulse reflection from a randomly stratified medium.- 9.1 The direct analysis.- 9.2 The inverse problem.- 9.3 References.- 10 Theory of polymer melt viscoelasticity.- 10.1 Polymers.- 10.2 The Doi-Edwards theory.- 10.3 Beyond the Doi-Edwards model.- 10.4 Constraint release and polydispersity.- 10.5 References.- 11 The Advection Equation in Air Quality Modeling.- 11.1 The general model.- 11.2 The advection equation.- 11.3 Numerical methods for the advection equation.- 11.4 Open problems.- 11.5 Remarks on Problem (1).- 11.6 References.- 12 Diffusion in swelling media: modeling and applications.- 12.1 Thermal dye transfer.- 12.2 Gelatin swelling
• filter dye deposition.- 12.3 Open problems.- 12.4 Solution to Problem (1).- 12.5 References.- 13 Mathematical modeling of semiconductor lasers.- 13.1 The electrical model.- 13.2 Optical/electrical link.- 13.3 Simplifying (13.5)-(13.15).- 13.4 References.- 14 Conformation of random polymers.- 14.1 Phenomenology.- 14.2 The excluded volume problem.- 14.3 Protein and polyamphilytes.- 14.4 References.- 15 Current-voltage relations for electrolytic solutions.- 15.1 An electrochemical system.- 15.2 Mathematical formulation.- 15.3 Solution methods.- 15.4 Open problems.- 15.5 Comments on Problem (1).- 15.6 References.- 16 Scaling and Optimization for List-Matching.- 16.1 Formulation.- 16.2 The partition function.- 16.3 The traveling salesman algorithm.- 16.4 References.- 17 Topics in Tomography.- 17.1 "Tomography cannot work".- 17.2 Mathematical phantom.- 17.3 Radon's transform
• algorithms.- 17.4 Reconstruction from partial view.- 17.5 References.- 18 Solution to problems from Part 2.- 18.1 References.
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This is the third volume in the series "Mathematics in Industrial Prob- lems." The motivation for these volumes is to foster interaction between Industry and Mathematics at the "grass roots"; that is, at the level of spe- cific problems. These problems come from Industry: they arise from models developed by the industrial scientists in ventures directed at the manufac- ture of new or improved products. At the same time, these problems have the potential for mathematical challenge and novelty. To identify such problems, I have visited industries and had discussions with their scientists. Some of the scientists have subsequently presented their problems in the IMA seminar on Industrial Problems. The book is based on questions raised in the seminar and subsequent discussions. Each chapter is devoted to one of the talks and is self-contained. The chap- ters usually provide references to the mathematical literature and a list of open problems which are of interest to the industrial scientists. For some problems partial solution is indicated briefly. The last chapter of the book contains a short description of solutions to some of the problems raised in the second volume, as well as references to papers in which such solutions have been published.
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• SuperComputing - What is New.- Local Area Networks - A Survey.- Public Broadband Networks - Present State and Future Perspectives.- Fast Access to Supercomputer Applications.- High Speed Networking Solutions.- Computational Chemistry in Industry - A Parallel Direct SCF.- Quantum Chemical Investigations of Reactive Intermediates. Carbocations and Alkyl Radicals.- Long Time Dynamics of Proteins: An Off-Lattice Monte Carlo Method.- Quantum Mechanical Calculations of Small Molecules.- Parallel Processing and Computational Chemistry.- The Direct IGLO Method for the Calculation of NMR Chemical Shifts with the Program TURBOMOLE.- Computer Aided Protein Design: Three Dimensional Model Building of the Saruplase Structure.
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Supercomputing and networking are of great importance in the field of computer chemistry. In this volume some fundamen- tals are discussed; new results are presented in the paral- lelization of a direct SCF on workstations and of several application programs, in the long time dynamics of proteins and for the IGLO method. A general overview of quantum che- mical calculations of small molecules is included. That com- putational methods complement experimental approaches, is demonstrated with short-lived intermediates (carbocations, alkyl radicals) and the 3-D-structure of saruplase-domains.
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• 1. Interactive Use of Maple.- 1.1 The Worksheet Interface.- 1.2 Tutorial
• 1: Solving Problems.- 1.3 Tutorial
• 2: Managing Expressions through the Worksheet Interface.- Spreadsheets.- Palettes.- Smart Plots.- 1.4 Tutorial
• 3: Documenting Your Work.- Adding a Title.- Adding Headings.- In-line Mathematics.- 1.5 Tutorial
• 4: Multiple Worksheets.- Drag and Drop.- Adding Hyperlinks.- Bookmarks.- 1.6 Tutorial
• 5: Getting Help.- The Contents of the Help System.- Searching by Topic.- Full Text Searching.- 1.7 Conclusion.-
• 2. Mathematics with Maple: the Basics.- 2.1 Introduction.- 2.2 Numerical Computations.- Integer Computations.- Exact Arithmetic-Rationals, Irrationals, and Constants.- Floating-Point Approximations.- Arithmetic with Special Numbers.- Mathematical Functions.- 2.3 Basic Symbolic Computations.- 2.4 Assigning Names to Expressions.- 2.5 More Basic Types of Maple Objects.- Expression Sequences.- Lists.- Sets.- Operations on Sets and Lists.- Arrays.- Tables.- Strings.- 2.6 Expression Manipulation.- The simplify Command.- The factor Command.- The expand Command.- The convert Command.- The normal Command.- The combine Command.- The map Command.- The lhs and rhs Commands.- The numer and denom Commands.- The nops and op Commands.- Common Questions about Expression Manipulation.- 2.7 Conclusion.-
• 3. Finding Solutions.- 3.1 Simple solve.- Verifying Solutions.- Restricting Solutions.- Exploring Solutions.- The unapply Command.- The assign Command.- The RootOf Command.- 3.2 Solving Numerically: fsolve.- Limitations on solve.- 3.3 Other Solvers.- Finding Integer Solutions.- Finding Solutions Modulo m.- Solving Recurrence Relations.- 3.4 Polynomials.- Sorting and Collecting.- Mathematical Operations.- Coefficients and Degrees.- Root Finding and Factorization.- 3.5 Calculus.- 3.6 Differential Equations: dsolve.- 3.7 The Organization of Maple.- 3.8 The Maple Packages.- List of Packages.- The Student Calculus Package.- The Linear Algebra Package.- The Matlab Package.- The Statistics Package.- The Linear Optimization Package.- 3.9 Conclusion.-
• 4. Graphics.- 4.1 Graphing in Two Dimensions.- Parametric Plots.- Polar Coordinates.- Functions with Discontinuities.- Multiple Plots.- Plotting Data Points.- Refining Plots.- 4.2 Graphing in Three Dimensions.- Parametric Plots.- Spherical Coordinates.- Cylindrical Coordinates.- Refining Plots.- Shading and Lighting Schemes.- 4.3 Animation.- Animation in Two Dimensions.- Animation in Three Dimensions.- 4.4 Annotating Plots.- 4.5 Composite Plots.- Placing Text in Plots.- 4.6 Special Types of Plots.- 4.7 Manipulating Graphical Objects.- 4.8 Conclusion.-
• 5. Evaluation and Simplification.- 5.1 Mathematical Manipulations.- Expanding Polynomials as Sums.- Collecting the Coefficients of Like Powers.- Factoring Polynomials and Rational Functions.- Removing Rational Exponents.- Combining Terms.- Factored Normal Form.- Simplifying Expressions.- Simplification with Assumptions.- Simplification with Side Relations.- Sorting Algebraic Expressions.- Converting Between Equivalent Forms.- 5.2 The Assume Facility.- 5.3 Structural Manipulations.- Mapping a Function onto a List or Set.- Choosing Elements from a List or Set.- Merging Two Lists.- Sorting Lists.- The Parts of an Expression.- Substitution.- Changing the Type of an Expression.- 5.4 Evaluation Rules.- Levels of Evaluation.- Last-Name Evaluation.- One-Level Evaluation.- Commands with Special Evaluation Rules.- Quotation and Unevaluation.- Using Quoted Variables as Function Arguments.- Concatenation of Names.- 5.5 Conclusion.-
• 6. Examples from Calculus.- 6.1 Introductory Calculus.- The Derivative.- A Taylor Approximation.- The Integral.- Mixed Partial Derivatives.- 6.2 Ordinary Differential Equations.- The dsolve Command.- Example: Taylor Series.- When You Cannot Find a Closed Form Solution.- Plotting Ordinary Differential Equations.- Discontinuous Forcing Functions.- 6.3 Partial Differential Equations.- The pdsolve Command.- Changing the Dependent Variable in a PDE.- Plotting Partial Differential Equations.- 6.4 Conclusion.-
• 7. Input and Output.- 7.1 Reading Files.- Reading Columns of Numbers from a File.- Reading Commands from a File.- 7.2 Writing Data to a File.- Writing Columns of Numerical Data to a File.- Saving Expressions in Maple's Internal Format.- Converting to LATEX Format.- 7.3 Exporting Whole Worksheets.- Plain Text.- Maple Text.- LATEX.- HTML.- 7.4 Printing Graphics.- 7.5 Conclusion.
• (source: Nielsen Book Data)

Maple V Mathematics Learning Guide is the fully revised introductory documentation for Maple V Release 5. It shows how to use Maple V as a calculator with instant access to hundreds of high-level math routines and as a programming language for more demanding or specialized tasks. Topics include the basic data types and statements in the Maple V language. The book serves as a tutorial introduction and explains the difference between numeric computation and symbolic computation, illustrating how both are used in Maple V Release 5. Extensive "how-to" examples are presented throughout the text to show how common types of calculations can be easily expressed in Maple. Graphics examples are used to illustrate the way in which 2D and 3D graphics can aid in understanding the behaviour of problems.
(source: Nielsen Book Data)

• Frontiers in Molecular Design and Chemical Information Science: Introduction / Bienstock, Rachelle J. / http://dx.doi.org/10.1021/bk-2016-1222.ch001
• Complexity and Heterogeneity of Data for Chemical Information Science / Bajorath, Jürgen / http://dx.doi.org/10.1021/bk-2016-1222.ch002
• Exploring Molecular Promiscuity from a Ligand and Target Perspective / Hu, Ye; Bajorath, Jürgen / http://dx.doi.org/10.1021/bk-2016-1222.ch003
• Network Variants for Analyzing Target-Ligand Interactions / Hu, Ye; Bajorath, Jürgen / http://dx.doi.org/10.1021/bk-2016-1222.ch004
• Going Beyond R-Group Tables / Shanmugasundaram, Veerabahu; Zhang, Liying; Poss, Christopher; Milbank, Jared; Starr, Jeremy / http://dx.doi.org/10.1021/bk-2016-1222.ch005
• Molecular Similarity Approaches in Chemoinformatics: Early History and Literature Status / Willett, Peter / http://dx.doi.org/10.1021/bk-2016-1222.ch006
• Non-Specificity of Drug-Target Interactions – Consequences for Drug Discovery / Maggiora, Gerald; Gokhale, Vijay / http://dx.doi.org/10.1021/bk-2016-1222.ch007
• Coping with Complexity in Ligand-Based De Novo Design / Schneider, Gisbert, Swiss Federal Institute of Technology (ETH), Department of Chemistry and Applied Biosciences, Vladimir-Prelog-Weg 4, CH-8093 Zurich, Switzerland; Schneider, Petra, Swiss Federal Institute of Technology (ETH), Department of Chemistry and Applied Biosciences, Vladimir-Prelog-Weg 4, CH-8093 Zurich, Switzerland, inSili.com LLC, Segantinisteig 3, CH-8049 Zurich, Switzerland / http://dx.doi.org/10.1021/bk-2016-1222.ch008
• Soft Sensors: Chemoinformatic Model for Efficient Control and Operation in Chemical Plants / Kaneko, Hiromasa; Funatsu, Kimito / http://dx.doi.org/10.1021/bk-2016-1222.ch009
• Data Visualization & Clustering: Generative Topographic Mapping Similarity Assessment Allied to Graph Theory Clustering / Escobar, Matheus de Souza; Kaneko, Hiromasa; Funatsu, Kimito / http://dx.doi.org/10.1021/bk-2016-1222.ch010
• Generative Topographic Mapping Approach to Chemical Space Analysis / Gaspar, Héléna A., Laboratoire de Chemoinformatique, UMR 7140, Université de Strasbourg, 1 rue Blaise Pascal, Strasbourg 67000, France; Sidorov, Pavel, Laboratoire de Chemoinformatique, UMR 7140, Université de Strasbourg, 1 rue Blaise Pascal, Strasbourg 67000, France, Laboratory of Chemoinformatics, Butlerov Institute of Chemistry, Kazan Federal University, Kazan, Russia; Horvath, Dragos, Laboratoire de Chemoinformatique, UMR 7140, Université de Strasbourg, 1 rue Blaise Pascal, Strasbourg 67000, France; Baskin, Igor I., Faculty of Physics, M.V. Lomonosov Moscow State University, Leninskie Gory, Moscow 119991, Russia, Laboratory of Chemoinformatics, Butlerov Institute of Chemistry, Kazan Federal University, Kazan, Russia; Marcou, Gilles, Laboratoire de Chemoinformatique, UMR 7140, Université de Strasbourg, 1 rue Blaise Pascal, Strasbourg 67000, France; Varnek, Alexandre, Laboratoire de Chemoinformatique, UMR 7140, Université de Strasbourg, 1 rue Blaise Pascal, Strasbourg 67000, France, Laboratory of Chemoinformatics, Butlerov Institute of Chemistry, Kazan Federal University, Kazan, Russia / http://dx.doi.org/10.1021/bk-2016-1222.ch011
• Visualization of a Multidimensional Descriptor Space / Gaspar, Héléna A., Laboratoire de Chemoinformatique, UMR 7140, Université de Strasbourg, 1 rue Blaise Pascal, Strasbourg 67000, France; Baskin, Igor I., Faculty of Physics, M.V. Lomonosov Moscow State University, Leninskie Gory, Moscow 119991, Russia, Laboratory of Chemoinformatics, Butlerov Institute of Chemistry, Kazan Federal University, Kazan 420008, Russia; Varnek, Alexandre, Laboratoire de Chemoinformatique, UMR 7140, Université de Strasbourg, 1 rue Blaise Pascal, Strasbourg 67000, France / http://dx.doi.org/10.1021/bk-2016-1222.ch012
• The Application of Cheminformatics in the Analysis of High-Throughput Screening Data / Walters, W. Patrick; Aronov, Alexander; Goldman, Brian; McClain, Brian; Perola, Emanuele; Weiss, Jonathan / http://dx.doi.org/10.1021/bk-2016-1222.ch013
• Steps Toward a Virtual Rat: Predictive Absorption, Distribution, Metabolism, and Toxicity Models / Tseng, Yufeng J., Department of Computer Science and Information Engineering, National Taiwan University, No. 1 Sec. 4, Roosevelt Road, Taipei, Taiwan 106, Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, No. 1 Sec. 4, Roosevelt Road, Taipei, Taiwan 106; Su, Bo-Han, Department of Computer Science and Information Engineering, National Taiwan University, No. 1 Sec. 4, Roosevelt Road, Taipei, Taiwan 106; Hsu, Ming-Tsung, Genome and Systems Biology Degree Program, National Taiwan University and Academia Sinica, No. 1 Sec. 4, Roosevelt Road, Taipei, Taiwan 106; Lin, Olivia A., Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, No. 1 Sec. 4, Roosevelt Road, Taipei, Taiwan 106 / http://dx.doi.org/10.1021/bk-2016-1222.ch014
• How Many Fingers Does a Compound Have? Molecular Similarity beyond Chemical Space / Lounkine, Eugen; Camargo, Miguel L. / http://dx.doi.org/10.1021/bk-2016-1222.ch015
• The Many Facets of Screening Library Design / Boehm, Markus; Zhang, Liying; Bodycombe, Nicole; Maciejewski, Mateusz; Wassermann, Anne Mai / http://dx.doi.org/10.1021/bk-2016-1222.ch016
• Editors’ Biographies / http://dx.doi.org/10.1021/bk-2016-1222.ot001

This book focuses on broadly defined areas of chemical information science- with special emphasis on chemical informatics- and computer-aided molecular design. The computational and cheminformatics methods discussed, and their application to drug discovery, are essential for sustaining a viable drug development pipeline.
(source: Nielsen Book Data)

• I. Bd. Atom- und Molekularphysik. 1.T. Atome und Ionen. 2.T. Molekeln I (Kerngerüst) 3.T. Moleken II (Elektronenhülle) nebst einem Anhang zu den Teibänden I/1, I/2, I
• /3. 4.T. Kristalle. 5.T. Atomkerne und Elementarteilchen.--II. Bd. Eigenschaften der Materie in ihren Aggregatzuständen. 1.T. Mechanisch-thermische Zustandgrössen. 2.T. Gleichgewichte ausser Schmelzgleichgewichten. Bandteil a. Gleichgewichte Dampf-Kondensat und osmotische Phänomene. 3.T. Schmelzgleichgewichte und Grenzflächenerscheinungen. 4.T. Kalorische Zustandsgrössen. 5.T. Transportphänomene. I-II. 6.T. Elektrische Eigenschaften. I. 7.T. Elektrische Eigenschaften II (Elektrochemische Systeme) 8.T. Optische Konstanten. 9.-10.T. Magnetische Eigenschaften. I-II.--III. Bd. Astronomie und Geophysik.--IV. Bd. Technik. 1.T. Stoffwerte und mechanisches Verhalten von Nichtmetallen. 2.T. Metallische Werkstoffe. Bandteil a. Grundlagen, Prüfverfahren. Eisenwerkstoffe. Bandteil b. Sinterwerkstoffe; Schwermetalle (ohne Sonderwerkstoffe). Bandteil c. Leichtmetalle, Sonderwerkstoffe, Halbleiter, Korrosion. 3.T. Elektrotechnik. Lichttechnik. Röntgentechnik. 4.T. Wärmetechnik.

• Note continued: 4.6. Milk Industry
• 4.6.1. Immobilization in the Milk Industry
• 4.6.2. Hydrolysis of Lactose in Milk
• 4.6.3. Antibiotic Residues in Milk
• 4.7. Miscellaneous Flavor Materials and Aroma Compounds
• 4.7.1. Biotransformation from Geraniol to Nerol
• 4.7.2. Limonin
• 4.7.3. & beta; -Ionone
• 4.7.4. Naringin
• 4.7.5. Methyl Ketone (Blue Cheese Flavor) as a Flavor Molecule from Higher Fungi
• 4.7.6. Capsaicin
• 4.7.7. Vanillin
• 4.7.8. Japanese Seasoning
• 4.8. Miscellaneous Applications
• 4.8.1. Production of Oligosaccharides
• 4.8.2. Preservatives and Bacteriocins
• 4.8.3. Xylitol Production
• 4.8.4. Carotenoids and Leucrose
• 4.8.5. cis, cis-Muconic Acid (MA)
• 4.9. Various Industrial Options
• 4.9.1. Fuel Ethanol Production
• 4.9.2. Application of Gels for Separation Matrices
• 4.9.3. Bioartificial Organs
• 4.9.4. Insect Cell Immobilization
• References
• 5. Medicinal Applications of Hydrocolloid Beads
• 5.1. Introduction
• 5.2. Encapsulation of Cells in Hydrogels
• 5.3. Stem Cells in Bead Environments
• 5.4. Charged Hydrogel Beads as New Microcarriers for Cell Culture
• 5.5. Potential Support for Endothelial Cells
• 5.6. Vaccine Delivery
• 5.7. Crosslinked Chitosan Beads: Different Medicinal Functions
• 5.8. Mucoadhesive Beads and Their Applications
• 5.8.1. General
• 5.8.2. Eyes
• 5.8.3. Alimentary System
• 5.9. Polyelectrolyte Complexes
• 5.10. Soft Tissue Regeneration
• References
• 6. Dry Bead Formation, Structure, Properties, and Applications
• 6.1. Introduction
• 6.2. General Properties of Cellular Solids
• 6.3. Manufacturing Methods for Hydrocolloid Cellular Solids
• 6.3.1. Drying Bicarbonate-Containing Gels After Acid Diffusion
• 6.3.2. Cellular Solids Produced by Fermentation
• 6.3.3. Enzymatically Produced Cellular Solids.

• Note continued: 6.3.4. Inclusion of Oil in Cellular Solids
• 6.3.5. Porosity Control in Cellular Solids
• 6.4. Structure of Cellular Solids
• 6.5. Mechanical Properties of Cellular Solids
• 6.5.1. Compression of Cellular Solids
• 6.5.2. Models for Describing Stress-Strain Behavior
• 6.5.3. Elastic Properties of Cellular Materials
• 6.5.4. Layered Cellular Solids and Compressibility of Cellular Particulates
• 6.5.5. Acoustic Properties of Cellular Solids
• 6.6. Applications of Cellular Solids
• 6.6.1. Hydrocolloid Cellular Solids as a Carrier for Vitamins
• 6.6.2. Dried Gel Beads as Study Models and for Separation
• 6.6.3. Special Dry Beads for Water Treatment
• 6.6.4. Matrices Entrapping Hydrocolloid Cellular Beads
• 6.7. Hydrocolloid Cellular Carriers for Agricultural Uses
• 6.7.1. General
• 6.7.2. Preservation of Biocontrol Agents in a Viable Form by Dry Cellular Bead Carriers
• 6.7.3. Dry Carriers' Capacity to Protect Biocontrol Agents Against UV Light
• 6.7.4. Textural Features of Dried Hydrocolloid Beads
• References
• 7. Liquid-Core Beads and Their Applications in Food, Biotechnology, and Other Fields
• 7.1. Introduction
• 7.2. General
• 7.3. Soft Gelatin Capsules
• 7.4. Liquid-Core Capsules
• 7.4.1. Liquid-Core Hydrocolloid Capsules
• 7.4.2. Synthetic and Additional Liquid-Core Capsules
• 7.5. Oil-Core Hydrocolloid Capsules
• 7.6. Biotechnological Applications of Liquid-Core Capsules
• 7.6.1. Growth of Microorganisms in Liquid-Core Capsules
• 7.6.2. Activity of Enzymes Within Liquid-Core Capsules
• 7.7. Special Food Applications
• 7.7.1. Jelly-Like Foods
• 7.7.2. Fruit Products
• 7.7.3. Encapsulating Aroma and Health Compounds
• 7.7.4. Other Foods
• 7.8. Agricultural Uses of Liquid-Core Capsules
• 7.9. Environmental Uses of Liquid-Core Capsules.

• Note continued: 7.10. Special Applications of Liquid-Core Capsules
• 7.10.1. Stop-Smoking Aids
• 7.10.2. Beauty Industry -- Removal of Body Hair
• 7.10.3. Paper Industry
• References
• 8. Beads as Drug Carriers
• 8.1. Introduction
• 8.2. Controlled Drug Release
• 8.3. Gels in Drug-Delivery Systems
• 8.4. Dual Drug-Loaded Beads
• 8.5. Drug Release from Beads
• 8.5.1. Albumin Beads
• 8.5.2. Alginate Beads
• 8.5.3. Chitosan Beads
• 8.5.4. Gelatin
• 8.5.5. Modified Starch Microspheres
• 8.5.6. Dextran Beads
• 8.5.7. Cellulose Hydrogels
• 8.5.8. Gellan Beads
• 8.5.9. Guar Beads
• 8.5.10. Pectin
• 8.5.11. Modified Poly(Vinyl Alcohol) Microspheres
• 8.5.12. Biodegradable Hydrogels Based on Polyesters
• 8.5.13. Hydrogels with Degradable Crosslinking Agents
• 8.5.14. Floating Beads
• 8.5.15. Xyloglucan Beads
• References
• 9. Beads and Special Applications of Polymers for Agricultural Uses
• 9.1. Introduction
• 9.2. Immobilization of Plant Cell Suspensions and Single Seeds
• 9.3. Carriers for Slow Release of Bacteria that Affect Plant Growth
• 9.4. Inoculation of Seedlings and Plants with Beads Containing Fungal Inoculum
• 9.5. Joint Immobilization of Plant Growth-Promoting Bacteria and Green Microalgae
• 9.6. Cryopreservation by Encapsulation/Dehydration Technique
• 9.7. Controlled Release of Agricultural Chemicals
• 9.8. Biotechnological Applications
• 9.8.1. General
• 9.8.2. Gene-Delivery Systems Using Beads
• 9.8.3. Bioactive Bead Method for Obtaining Transgenic Plants
• 9.8.4. Synthetic Seed Technology
• 9.9. Unique Applications of Polymers
• 9.9.1. Superabsorbent Polymers
• 9.9.2. Seed Coating
• References
• 10. Beads for Environmental Applications
• 10.1. Introduction
• 10.2. Water Treatments
• 10.2.1. General.

• Note continued: 10.2.2. Wastewater Treatment by Anaerobic Fixed Bed Reactor
• 10.2.3. Wastewater Treatment Using Immobilized Microorganisms
• 10.2.4. Arsenic Removal from Water
• 10.2.5. Chitosan and Removal of Heavy Metal Ions
• 10.2.6. Water Denitrification
• 10.2.7. Anaerobic Ammonium Oxidation
• 10.3. Soil Treatments
• 10.3.1. General
• 10.3.2. Agrochemicals
• 10.3.3. Controlled Release of Pesticides into Soils
• 10.3.4. Sustained Release of a Fungicide
• 10.4. Air Pollution
• 10.4.1. General
• 10.4.2. Sampling Air
• 10.4.3. Determination of Trace Contaminants in Air by Concentration on Porous Polymer Beads
• 10.5. Miscellaneous
• 10.5.1. Biodegradation
• 10.5.2. Carbon Nanotubes
• 10.5.3. Removal by Microalgae
• References.

Although the use of water-soluble polymer beads is on the rise in many fields, the literature offers only scattered chapters in a handful of books on the topic. Polymer Macro- and Micro-Gel Beads: Fundamentals and Applications fills this void. It covers both the properties and traditional and novel applications of polymeric beads, making it a crucial addition to the literature. This book describes numerous methods of bead production, as well as the techniques used to modify them and to estimate their physical and chemical properties. A full description of past and present developments and applications of beads in the fields of agriculture, biotechnology, environmental studies, medicine, pharmacology, and food are presented. Amos Nussinovitch is a Professor of Food Science and Technology at The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem. He is an internationally recognized expert on hydrocolloid applications and works in the areas of structure and texture of wet and dry beads, liquid-core capsules, different polymeric beads for water denitrification and beads as part of novel cellular solids, among many other applications.

• A high performance matrix multiplication algorithm for MPPs.- Iterative moment method for electromagnetic transients in grounding systems on CRAY T3D.- Analysis of crystalline solids by means of a parallel FEM method.- Parallelization strategies for Tree N-body codes.- Numerical solution of stochastic differential equations on transputer network.- Development of a stencil compiler for one-dimensional convolution operators on the CM-5.- Automatic parallelization of the AVL FIRE benchmark for a distributed-memory system.- 2-D cellular automata and short range molecular dynamics programs for simulations on networked workstations and parallel computers.- Pablo-based performance monitoring tool for PVM applications.- Linear algebra computation on parallel machines.- A neural classifier for radar images.- ScaLAPACK: A portable linear algebra library for distributed memory computers - Design issues and performance.- A proposal for a set of parallel basic linear algebra subprograms.- Parallel implementation of a Lagrangian stochastic particle model of turbulent dispersion in fluids.- Reduction of a regular matrix pair (A, B) to block Hessenberg-triangular form.- Parallelization of algorithms for neural networks.- Paradigms for the parallelization of Branch&Bound algorithms.- Three-dimensional version of the Danish Eulerian Model.- A proposal for a Fortran 90 interface for LAPACK.- ScaLAPACK tutorial.- Highly parallel concentrated heterogeneous computing.- Adaptive polynomial preconditioning for the conjugate gradient algorithm.- The IBM parallel engineering and scientific subroutine library.- Some preliminary experiences with sparse BLAS in parallel iterative solvers.- Load balancing in a Network Flow Optimization code.- User-level VSM optimization and its application.- Benchmarking the cache memory effect.- Efficient Jacobi algorithms on multicomputers.- Front tracking: A parallelized approach for internal boundaries and interfaces.- Program generation techniques for the development and maintenance of numerical weather forecast Grid models.- High performance computational chemistry: NWChem and fully distributed parallel applications.- Parallel ab-initio molecular dynamics.- Dynamic domain decomposition and load balancing for parallel simulations of long-chained molecules.- Concurrency in feature analysis.- A parallel iterative solver for almost block-diagonal linear systems.- Distributed general matrix multiply and add for a 2D mesh processor network.- Distributed and parallel computing of short-range molecular dynamics.- Lattice field theory in a parallel environment.- Parallel time independent quantum calculations of atom diatom reactivity.- Parallel oil reservoir simulation.- Formal specification of multicomputers.- Multi-million particle molecular dynamics on MPPs.- Wave propagation in urban microcells: a massively parallel approach using the TLM method.- The NAG Numerical PVM Library.- Cellular automata modeling of snow transport by wind.- Parallel algorithm for mapping of parallel programs into pyramidal multiprocessor.- Data-parallel molecular dynamics with neighbor-lists.- Visualizing astrophysical 3D MHD turbulence.- A parallel sparse QR-factorization algorithm.- Decomposing linear programs for parallel solution.- A parallel computation of the Navier-Stokes equation for the simulation of free surface flows with the volume of fluid method.- Improving the performance of parallel triangularization of a sparse matrix using a reconfigurable multicomputer.- Comparison of two image-space subdivision algorithms for Direct Volume Rendering on distributed-memory multicomputers.- Communication harnesses for transputer systems with tree structure and cube structure.- A thorough investigation of the projector quantum Monte Carlo method using MPP technologies.- Distributed simulation of a set of elastic macro objects.- Parallelization of ab initio molecular dynamics method.- Parallel computations with large atmospheric models.
• (source: Nielsen Book Data)

This book presents the refereed proceedings of the Second International Workshop on Applied Parallel Computing in Physics, Chemistry and Engineering Science, PARA'95, held in Lyngby, Denmark, in August 1995. The 60 revised full papers included have been contributed by physicists, chemists, and engineers, as well as by computer scientists and mathematicians, and document the successful cooperation of different scientific communities in the booming area of computational science and high performance computing. Many widely-used numerical algorithms and their applications on parallel computers are treated in detail.
(source: Nielsen Book Data)

• I. Viscoelastic Response in Shear.- II. Fourier and Laplace Transforms.- III. Relations Between Modulus and Compliance.- IV. Some One-Dimensional Dynamical Problems.- V. Stress Analysis.- VI. Thermal Effects.- VII. Large Deformations with Small Strains.- VIII. Slow Viscoelastic Flow.- IX. Viscometric Flow.- Solutions.
• (source: Nielsen Book Data)

This book contains notes for a one-semester course on viscoelasticity given in the Division of Applied Mathematics at Brown University. The course serves as an introduction to viscoelasticity and as a workout in the use of various standard mathematical methods. The reader will soon find that he needs to do some work on the side to fill in details that are omitted from the text. These are notes, not a completely detailed explanation. Furthermore, much of the content of the course is in the problems assigned for solution by the student. The reader who does not at least try to solve a good many of the problems is likely to miss most of the point. Much that is known about viscoelasticity is not discussed in these notes, and references to original sources are usually not give, so it will be difficult or impossible to use this book as a reference for looking things up. Readers wanting something more like a treatise should see Ferry's Viscoelastic Properties of Polymers, Lodge's Elastic Liquids, the volumes edited by Eirich on Rheology, or any issue of the Transactions of the Society of Rheology. These works emphasize physical aspects of the subject. On the mathematical side, Gurtin and Sternberg's long paper On the Linear Theory of Viscoelasticity (ARMA II, 291 (I962" remains the best reference for proofs of theorems.
(source: Nielsen Book Data)

• I. A Brief Introduction to Some General Concepts in Elasticity.- 1. Some Notations.- 2. Deformations and Motions.- 3. Mass. Force.- 4. Euler's Axiom. Cauchy's Theorem.- 5. Constitutive Assumptions. Elastic Body.- 6. Frame-Indifference of the Material Response.- II. Composition Operators in Sobolev and Schauder Spaces. Theorems on Continuity, Differentiability, and Analyticity.- 1. Some Facts About Sobolev and Schauder Spaces.- 2. A Property of Multiplication in Sobolev Spaces.- 3. On Continuity of Composition Operators in Sobolev and Schauder Spaces.- 4. On Differentiability of Composition Operators in Sobolev and Schauder Spaces.- 5. On Analyticity of Composition Operators in Sobolev and Schauder Spaces.- 6. A Theorem on Failure of Differentiability for Composition Operators.- III. Dirichlet and Neumann Boundary Problems in Linearized Elastostatics. Existence, Uniqueness, and Regularity.- 1. Korn's Inequalities.- 2. A Generalization of a Theorem of Lax and Milgram.- 3. Linearized Elastostatics.- 4. The Dirichlet Problem in Linearized Elastostatics. Existence and Uniqueness in W1, p(?, ?n).- 5. The Neumann Problem in Linearized Elastostatics. Existence and Uniqueness in W1, p(?, ? n).- 6. Some Basic Inequalities for Elliptic Operators.- 7. Regularity Theorems for Dirichlet and Neumann Problems in Linearized Elastostatics.- IV. Boundary Problems of Place in Finite Elastostatics.- 1. Formulation of the Problem.- 2. Remarks on Admissibility of a Linearization.- 3. A Topological Property of Sets of Admissible Deformations.- 4. Local Theorems on Existence, Uniqueness, and Analytic Dependence on f for Problem ((1.1), (1.3)).- 5. Stronger Results on Existence and Uniqueness for Problem ((1.1), (1.3)).- 6. Local Theorems on Existence and Uniqueness for Problem ((1.1), (1.2)).- V. Boundary Problems of Traction in Finite Elastostatics. An Abstract Method. The Special Case of Dead Loads.- 1. Generality on the Traction Problem in Finite Elastostatics.- 2. Preliminary Discussion.- 3. A Basic Lemma.- 4. Critical Infinitesimal Rigid Displacements for a Load.- 5. A Local Theorem on Existence, Uniqueness, and Analytic Dependence on a Parameter.- 6. The Case of Dead Loads.- 7. Some Historical Notes.- VI. Boundary Problems of Pressure Type in Finite Elastostatics.- 1. Preliminaries.- 2. The Case When the Load Is Invariant Under Translations.- 3. The Case When the Load Is Invariant Under Rotations.- 4. The Case of a Heavy Elastic Body Submerged in a Quiet Heavy Liquid.-
• Appendix I. On Analytic Mappings Between Banach Spaces. Analytic Implicit Function Theorem.-
• Appendix II. On the Representation of Orthogonal Matrices.- Index of Notations.
• (source: Nielsen Book Data)

In this book I present, in a systematic form, some local theorems on existence, uniqueness, and analytic dependence on the load, which I have recently obtained for some types of boundary value problems of finite elasticity. Actually, these results concern an n-dimensional (n ~ 1) formal generalization of three-dimensional elasticity. Such a generalization, be- sides being quite spontaneous, allows us to consider a great many inter- esting mathematical situations, and sometimes allows us to clarify certain aspects of the three-dimensional case. Part of the matter presented is unpublished; other arguments have been only partially published and in lesser generality. Note that I concentrate on simultaneous local existence and uniqueness; thus, I do not deal with the more general theory of exis- tence. Moreover, I restrict my discussion to compressible elastic bodies and I do not treat unilateral problems. The clever use of the inverse function theorem in finite elasticity made by STOPPELLI [1954, 1957a, 1957b], in order to obtain local existence and uniqueness for the traction problem in hyperelasticity under dead loads, inspired many of the ideas which led to this monograph. Chapter I aims to give a very brief introduction to some general concepts in the mathematical theory of elasticity, in order to show how the boundary value problems studied in the sequel arise. Chapter II is very technical; it supplies the framework for all sub- sequent developments.
(source: Nielsen Book Data)

• Introduction.- Analysis of Herbicides on a Single C30 Bead via the Platform Combined Microfluidic Device with ESI-Q-TOF-MS.- Monitoring of Glutamate Release from Neuronal Cell Based on the Analysis Platform Combining the Microfluidic Devices with ESI-Q-TOF-MS.- Microfluidic Device with Integrated Porous Membrane for Cell Sorting and Separation.- Cell Co-culture and Signaling Analysis Based on Microfluidic Devices Coupling with ESI-Q-TOF-MS.
• (source: Nielsen Book Data)

This thesis describes a new approach for cell analysis by the rapid developing microfluidic technology. The nominee has made great contributions to develop a new analysis platform which combined microfluidic devices with mass spectrometry to determine the trace compounds secreted by cells. Based on this analysis platform, she studied the specific cell secreting behaviors under controlled microenvironment, of which the secretion compounds were qualified and semi-quantified by mass spectrometry. A novel cell sorting device integrated homogenous porous PDMS membrane was invented to classify cells from real samples based on the size difference. The nominee further studied the signal transmission between different cells, and the signal chemicals were qualitative and quantitative monitored by the analysis platform. This indicates the potential significant application of the new cell analysis platform in medicine screening and early diagnosis.
(source: Nielsen Book Data)

• The Space of Continuous Functions
• Theorems of Korovkin and Stone-Weierstrass
• Fourier Series of Continuous Functions
• Integration and Differentiation
• Spaces Lp and Convolutions
• Fourier Series of Summable Functions
• Fourier Integral
• Additional Results
• References
• Subject Index.

The first part in this thorough textbook is devoted to continuity properties, culminating in the theorems of Korovikin and Stone-Weierstrass. The last part consists of extensions and applications of the Fourier theory, for example the Wilbraham-Gibbs phenomenon, the Hausdorff-Young theorem, the Poisson sum formula and the heat and wave equations. Since the Lebesgue integral is indispensible for obtaining familiarity with Fourier series and Fourier transforms on a somewhat higher level, the book contains a brief survey with complete proofs of abstract integration theory. The compact and comprehensive exposition is rounded off by well-choosen exercises. The book is of interest to advanced undergraduate and graduate students. This book is a textbook on continuity properties, integration theory and Fourier theory for graduate or advanced undergraduate students in mathematics or mathematical physics. The discussion of abstract in integration is brief, but with complete proofs.

• Using Flipped Classroom Settings to Shift the Focus of a General Chemistry Course from Topic Knowledge to Learning and Problem-Solving Skills: A Tale of Students Enjoying the Class They Were Expecting to Hate / Ramella, Daniele, College of Science and Technology-Department of Chemistry, Temple University, 1901 North 13th Street, Philadelphia, Pennsylvania 19122, United States; Brock, Benjamin E., CAT-Center for Advancement of Teaching, Temple University, Philadelphia, Pennsylvania 19122, United States, School of Education, Temple University, Philadelphia, Pennsylvania 19122, United States; Velopolcek, Maria K., Department of Chemistry, Duke University, Durham, North Carolina 27701, United States; Winters, Kyle P., School of Dentistry, Temple University, Philadelphia, Pennsylvania 19140, United States / http://dx.doi.org/10.1021/bk-2019-1322.ch001
• Combining Pre-class Preparation with Collaborative In-Class Activities to Improve Student Engagement and Success in General Chemistry / Blaser, Mark / http://dx.doi.org/10.1021/bk-2019-1322.ch002
• Using Clicker-Based Group Work Facilitated by a Modified Peer Instruction Process in a Highly Successful Flipped General Chemistry Classroom / Pollozi, Shejla, Department of Chemistry, Lehman College of the City University of New York, 250 Bedford Park Boulevard West, Bronx, New York 10468, United States, Ph.D. Program in Chemistry, The Graduate Center of the City University of New York, New York, New York 10016, United States; Haddad, Ibrahim, Department of Chemistry, Lehman College of the City University of New York, 250 Bedford Park Boulevard West, Bronx, New York 10468, United States; Tyagi, Aanchal, Department of Chemistry, Lehman College of the City University of New York, 250 Bedford Park Boulevard West, Bronx, New York 10468, United States; Mills, Pamela, Department of Chemistry, Lehman College of the City University of New York, 250 Bedford Park Boulevard West, Bronx, New York 10468, United States, Ph.D. Program in Chemistry, The Graduate Center of the City University of New York, New York, New York 10016, United States; McGregor, Donna, Department of Chemistry, Lehman College of the City University of New York, 250 Bedford Park Boulevard West, Bronx, New York 10468, United States, Ph.D. Program in Chemistry, The Graduate Center of the City University of New York, New York, New York 10016, United States / http://dx.doi.org/10.1021/bk-2019-1322.ch003
• Maximizing Learning Efficiency in General Chemistry / Cracolice, Mark S., Department of Chemistry & Biochemistry, University of Montana, Missoula, Montana 59812, United States; Queen, Matt, Department of Biological and Physical Sciences, Montana State University Billings, 1500 University Drive, Billings, Montana 59101, United States / http://dx.doi.org/10.1021/bk-2019-1322.ch004
• Flipping General Chemistry in Small Classes: Students' Perception and Success / Hutchinson-Anderson, Kelly M. / http://dx.doi.org/10.1021/bk-2019-1322.ch005
• Active Learning in the Large Lecture Hall Format / LaBrake, Cynthia / http://dx.doi.org/10.1021/bk-2019-1322.ch006
• Large-Scale, Team-Based Curriculum Transformation and Student Engagement in General Chemistry I and II / Lamont, Liana B., Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, Wisconsin 53706, United States; Stoll, Lindy K., Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, Wisconsin 53706, United States; Pesavento, Theresa M., Department of Academic Technology, University of Wisconsin-Madison, 1305 Linden Drive, Madison, Wisconsin 53706, United States; Bain, Rachel L., Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, Wisconsin 53706, United States; Landis, Clark R., Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, Wisconsin 53706, United States; Sibert, Edwin L., Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, Wisconsin 53706, United States / http://dx.doi.org/10.1021/bk-2019-1322.ch007
• Active Learning in Hybrid-Online General Chemistry / Miller, Dionne A. / http://dx.doi.org/10.1021/bk-2019-1322.ch008
• A Course Transformation to Support First-Year Chemistry Education for Engineering Students / Addison, Christopher J.; Núñez, José Rodríguez / http://dx.doi.org/10.1021/bk-2019-1322.ch009
• Flipped Classroom Learning Environments in General Chemistry: What Is the Impact on Student Performance in Organic Chemistry? / Eichler, Jack F., Department of Chemistry, University of California, Riverside, Riverside, California 92521, United States; Peeples, Junelyn, Department of Chemistry, University of California, Riverside, Riverside, California 92521, United States / http://dx.doi.org/10.1021/bk-2019-1322.ch010
• Editors' Biographies / http://dx.doi.org/10.1021/bk-2019-1322.ot001

• Preface XIII List of Contributors XV
• 1 Characterization of Nanocomposite Materials: An Overview
• 1 Vikas Mittal 1.1 Introduction
• 1 1.2 Characterization of Morphology and Properties
• 2 1.3 Examples of Characterization Techniques
• 5 References
• 12
• 2 Thermal Characterization of Fillers and Polymer Nanocomposites
• 13 Vikas Mittal 2.1 Introduction
• 13 2.2 TGA of Fillers
• 13 2.3 TGA of Polymer Nanocomposites
• 23 2.4 DSC of Fillers
• 25 2.5 DSC of Composites
• 26
• 3 Flame-Retardancy Characterization of Polymer Nanocomposites
• 33 Joseph H. Koo, Si Chon Lao, and Jason C. Lee 3.1 Introduction
• 33 3.2 Types of Flame-Retardant Nanoadditives
• 33 3.3 Thermal, Flammability, and Smoke Characterization Techniques
• 42 3.4 Thermal and Flame Retardancy of Polymer Nanocomposites
• 46 3.5 Flame Retardant Mechanisms of Polymer Nanocomposites
• 66 3.6 Concluding Remarks and Trends of Polymer Nanocomposites
• 68 Acknowledgments
• 69 References
• 69
• 4 PVT Characterization of Polymeric Nanocomposites
• 75 Leszek A. Utracki 4.1 Introduction
• 75 4.2 Components of Polymeric Nanocomposites
• 76 4.3 Pressure--Volume--Temperature ( PVT ) Measurements
• 79 4.4 Derivatives, Compressibility, and Thermal Expansion Coeffi cient
• 83 4.5 Thermodynamic Theories
• 89 4.6 Thermodynamic Interaction Coefficients
• 100 4.7 Theoretical Predictions
• 105 4.8 Summary and Conclusions
• 106 References
• 109
• 5 Following the Nanocomposites Synthesis by Raman Spectroscopy and X-Ray Photoelectron Spectroscopy (XPS)
• 115 Sorina Alexandra Garea and Horia Iovu 5.1 Nanocomposites Based on POSS and Polymer Matrix
• 115 5.2 Raman and XPS Applied in Synthesis of Nanocomposites Based on Carbon Nanotubes and Polymers
• 129 Acknowledgments
• 138 References
• 138
• 6 Tribological Characterization of Polymer Nanocomposites
• 143 Markus Englert and Alois K. Schlarb 6.1 Introduction
• 143 6.2 Tribological Fundamentals
• 144 6.3 Wear Experiments
• 149 6.4 Selection Criteria
• 152 6.5 Design of Polymer Nanocomposites and Multiscale Composites
• 153 6.6 Selected Experimental Results
• 153 References
• 165
• 7 Dielectric Relaxation Spectroscopy for Polymer Nanocomposites
• 167 Chetan Chanmal and Jyoti Jog 7.1 Introduction
• 167 7.2 Theory of Dielectric Relaxation Spectroscopy
• 168 7.3 PVDF/Clay Nanocomposites
• 171 7.4 PVDF/BaTiO3 Nanocomposites
• 175 7.5 PVDF/Fe3O4 Nanocomposites
• 177 7.6 Comparative Analysis of PVDF Nanocomposites
• 181 7.7 Conclusions
• 182 Acknowledgment
• 182 Nomenclature
• 182 References
• 183
• 8 AFM Characterization of Polymer Nanocomposites
• 185 Ken Nakajima, Dong Wang, and Toshio Nishi 8.1 Atomic Force Microscope (AFM)
• 185 8.2 Elasticity Measured by AFM
• 193 8.3 Example Studies
• 201 8.4 Conclusion
• 225 References
• 225
• 9 Electron Paramagnetic Resonance and Solid-State NMR Studies of the Surfactant Interphase in Polymer--Clay Nanocomposites
• 229 Gunnar Jeschke 9.1 Introduction
• 229 9.2 NMR, EPR, and Spin Labeling Techniques
• 230 9.3 Characterization of Organically Modified Layered Silicates
• 237 9.4 Characterization of Nanocomposites
• 242 9.5 Conclusion
• 247 Acknowledgments
• 248 References
• 248
• 10 Characterization of Rheological Properties of Polymer Nanocomposites
• 251 Mo Song and Jie Jin 10.1 Introduction
• 251 10.2 Fundamental Rheological Theory for Studying Polymer Nanocomposites
• 252 10.3 Characterization of Rheological Properties of Polymer Nanocomposites
• 257 10.4 Conclusions
• 279 References
• 280
• 11 Segmental Dynamics of Polymers in Polymer/Clay Nanocomposites Studied by Spin-Labeling ESR
• 283 Yohei Miwa, Shulamith Schlick, and Andrew R. Drews 11.1 Introduction
• 283 11.2 Spin Labeling: Basic Principles
• 284 11.3 Exfoliated Poly(methyl acrylate) (PMA)/Clay Nanocomposites
• 286 11.4 Intercalated Poly(ethylene oxide) (PEO)/Clay Nanocomposites
• 293 11.5 Conclusions
• 300 Acknowledgments
• 301 References
• 301
• 12 Characterization of Polymer Nanocomposite Colloids by Sedimentation Analysis
• 303 Vikas Mittal 12.1 Introduction
• 303 12.2 Materials and Experimental Methods
• 305 12.3 Results and Discussion
• 307 12.4 Conclusions
• 319 Acknowledgments
• 320 References
• 320
• 13 Biodegradability Characterization of Polymer Nanocomposites
• 323 Katherine M. Dean, Parveen Sangwan, Cameron Way, and Melissa A.L. Nikolic 13.1 Introduction
• 323 13.2 Methods of Measuring Biodegradation
• 323 13.3 Standards for Biodegradation
• 331 13.4 Biodegradable Nanocomposites
• 331 13.5 Starch Nanocomposites
• 336 13.6 PCL Nanocomposites
• 337 13.7 PHA/PHB Nanocomposites
• 339 13.8 Nanocomposites of Petrochemical-Based Polymer
• 342 13.9 Conclusions
• 343 References
• 343 Index 347.
• (source: Nielsen Book Data)

• CHARACTERIZATION OF NANOCOMPOSITE MATERIALS: AN OVERVIEW Introduction Characterization of Morphology and Properties Examples of Characterization Techniques THERMAL CHARACTERIZATION OF FILLERS AND POLYMER NANOCOMPOSITES Introduction TGA of Fillers TGA of Polymer Nanocomposites DSC of Fillers DSC of Composites FLAME RETARDANDY CHARACTERIZATION OF POLYMER NANOCOMPOSITES Introduction Types of Flame Retardant Nanoadditives Thermal, Flammability, and Smoke Characterization Techniques Thermal and Flame Retardancy of Polymer Nanocomposites PVT CHARACTERIZATION OF POLYMERIC NANOCOMPOSITES Introduction Components of Polymeric Nanocomposites Pressure-Volume-Temperature (PVT) Measurements Derivatives
• Compressibility and Thermal Expansion Coefficient Thermodynamic Theories Thermodynamic Interaction Coefficients Theoretical Predictions Summary and Conclusions FOLLOWING THE NANOCOMPOSITES SYNTHESIS BY RAMAN SPECTROSCOPY AND X-RAY PHOTOELECTRON SPECTROSCOPY (XPS) Nanocomposites Based on POSS and Polymer Matrix Raman and XPS Applied in Synthesis of Nanocomposites Based on Carbon Nanotubes and Polymers TRIBOLOGICAL CHARACTERIZATION OF POLYMER NANOCOMPOSITES Introduction Tribological Fundamentals Wear Experiments Selection Criteria Design of Polymer Nanocomposites and Multiscale-Composites Selected Experimental Results DIELECTRIC RELAXATION SPECTROSCOPY FOR POLYMER NANOCOMPOSITES Introduction Theory of Dielectric Relaxation Spectroscopy PVDF/Clay Nanocomposites PVDF/BaTiO3 Nanocomposites PVDF/Fe3O4 Nanocomposites Comparative Analysis of PVDF Nanocomposites Conclusions AFM CHARACTERIZATION OF POLMYER NANOCOMPOSITES Atomic Force Microscope (AFM) Elasticity Measured by AFM Example Studies Conclusion ELECTRON PARAMAGNETIC RESONANCE AND SOLID-STATE NMR STUDIES OF THE SURFACTANT INTERPHASE IN POLYMER-CLAY NANOCOMPOSITES Introduction NMR, EPR and Spin Labeling Techniques Characterization of Organically Modified Layered Silicates Characterization of Nanocomposites Conclusion CHARACTERIZATION OF RHEOLOGICAL PROPERTIES OF POLYMER NANOCOMPOSITES Introduction Fundamental Rheological Theory for Studying Polymer Nanocomposites Characterization of Rheological Properties of Polymer Nanocomposites Conclusions SEGMENTAL DYNAMICS OF POLYMERS IN POLYMER/CLAY NANOCOMPOSITES STUDIED BY SPIN-LABELING ESR Introduction Spin-Labeling: Basic Principles Exfoliated Poly(methyl acrylate) (PMA)/Clay Nanocomposites Intercalated Poly(ethylene oxide) (PEO)/Clay Nanocomposites Conclusions CHARACTERIZATION OF POLYMER NANOCOMPOSITE COLLOIDS BY SEDIMENTATION ANALYSIS Introduction Materials and Experimental Methods Results and Discussion Conclusions BIODEGRADABILITY CHARACTERIZATION OF POLYMER NANOCOMPOSITES Introduction Methods of Measuring Biodegradation Standards for Biodegradation Biodegradable Nanocomposites Starch Nanocomposites PCL Nanocomposites PHA/PHB Nanocomposites Nanocomposites of Petrochemical Based Polymer Conclusions.
• (source: Nielsen Book Data)

With its focus on the characterization of nanocomposites using such techniques as x-ray diffraction and spectrometry, light and electron microscopy, thermogravimetric analysis, as well as nuclear magnetic resonance and mass spectroscopy, this book helps to correctly interpret the recorded data. Each chapter introduces a particular characterization method, along with its foundations, and makes the user aware of its benefits, but also of its drawbacks. As a result, the reader will be able to reliably predict the microstructure of the synthesized polymer nanocomposite and its thermal and mechanical properties, and so assess its suitability for a particular application. Belongs on the shelf of every product engineer.
(source: Nielsen Book Data)

• ch. 1. Latex particles / Klaus Tauer
• ch. 2. Semiconductor nanoparticles / Andrey L. Rogach, Dmitri V. Talapin, Horst Weller
• ch. 3. Monolayer protected clusters of gold and silver / Mathias Brust, Christopher J. Kiely
• ch. 4. Sonochemical synthesis of inorganic and organic colloids / Franz Grieser, Muthupandian Ashokkumar
• ch. 5. Colloidal nanoreactors and nanocontainers / Marc Sauer, Wolfgang Meier
• ch. 6. Miniemulsions for the convenient synthesis of organic and inorganic nanoparticles and single molecule applications in materials chemistry / Katharina Landfester, Markus Antonietti
• ch. 7. Metal and semiconductor nanoparticle modification via chemical reactions / Luis M. Liz Marzán
• ch. 8. Nanoscale particle modification via sequential electrostatic assembly / Frank Caruso
• ch. 9. Colloidal crystals : recent developments and niche applications / Younan Xia, Hiroshi Fudouzi, Yu Lu, Yadong Yin
• ch. 10. Surface-directed colloid patterning : selective deposition via electrostatic and secondary interactions / Paula T. Hammond
• ch. 11. Evolving strategies of nanomaterials design / Sean Davis
• ch. 12. Nanoparticle organization at the air-water interface and in Langmuir-Blodgett films / Murali Sastry
• ch. 13. Layer-by-layer self-assembly of metal nanoparticles on planar substrates : fabrication and properties / Thierry P. Cassagneau
• ch. 14. Assembly of electrically functional microstructures from colloidal particles / Orlin D. Velev
• ch. 15. 3D ordered macroporous materials / Rick C. Schroden, Andreas Stein
• ch. 16. Semiconductor quantum dots as multicolor and ultrasensitive biological labels / Warren C. W. Chan, Xiaohu Gao, Shuming Nie
• ch. 17. Colloids for encoding chemical libraries: applications in biological screening / Bronwyn J. Battersby, Lisbeth Grøndahl, Gwendolyn A. Lawrie, Matt Trau
• ch. 18. Polyelectrolyte microcapsules as biomimetic models / Gleb B. Sukhorukov, Helmuth Möhwald.

Knovel provides access to reference materials in the fields of engineering and applied sciences. Subject areas covered include: chemistry and chemical engineering, plastics and rubbers, semiconductors, advanced materials, and safety, health and hygiene.

A keyword index for the user of the Landolt-Boernstein data collection. This collection is a systematic and comprehensive collection of critically assessed data from all fields of physics and related fields, such as physical chemistry, biophysics, geophysics, astronomy, material science and technology. It also includes a bibliography of the individual volumes of the 6th ed. and of the New Series and a list of contents for each volume.

• Trying on Teaching: Transforming STEM Classrooms with a Learning Assistant Program / Schick, Carolyn P. / http://dx.doi.org/10.1021/bk-2018-1280.ch001
• Synergistic Efforts To Support Early STEM Students / Owens, Kalyn S., Chemistry Department, North Seattle College, 9600 College Way N., Seattle, WashingtonA 98103, United States; Murkowski, Ann J., Biology Department, North Seattle College, 9600 College Way N., Seattle, Washington 98103, United States / http://dx.doi.org/10.1021/bk-2018-1280.ch002
• Improving Student Outcomes with Supplemental Instruction / Flaris, Vicki / http://dx.doi.org/10.1021/bk-2018-1280.ch003
• Using Strategic Collaborations To Expand Instrumentation Access at Two-Year Colleges / Stromberg, Christopher J., Department of Chemistry and Physics, Hood College, 401 Rosemont Ave., Frederick, Maryland 21701, United States; Ellis, Debra, Department of Science, Frederick Community College, 7932 Opossumtown Pike, Frederick Maryland 21702, United States; Wood, Perry A. D., Department of Science, Frederick Community College, 7932 Opossumtown Pike, Frederick Maryland 21702, United States; Bennett, Kevin H., Department of Chemistry and Physics, Hood College, 401 Rosemont Ave., Frederick, Maryland 21701, United States; Patterson, Garth E., Department of Science, Mount St. Mary's University, 16300 Old Emmitsburg Road, Emmitsburg, Maryland 21727, United States; Bradley, Christopher, Department of Science, Mount St. Mary's University, 16300 Old Emmitsburg Road, Emmitsburg, Maryland 21727, United States / http://dx.doi.org/10.1021/bk-2018-1280.ch004
• Development of a Pre-Professional Program at a Rural Community College / Burchett, Shayna; Hayes, Jack Lee / http://dx.doi.org/10.1021/bk-2018-1280.ch005
• Student Affective State: Implications for Prerequisites and Instruction in Introductory Chemistry Classes / Ross, J.; Lai, C.; Nuñez, L. / http://dx.doi.org/10.1021/bk-2018-1280.ch006
• In-Class Worksheets for Student Engagement and Success / Gyanwali, Gaumani / http://dx.doi.org/10.1021/bk-2018-1280.ch007
• A Tool Box Approach for Student Success in Chemistry / Alexander, Janice / http://dx.doi.org/10.1021/bk-2018-1280.ch008
• Identifying, Recruiting, and Motivating Undergraduate Student Researchers at a Community College / Schauer, Douglas J. / http://dx.doi.org/10.1021/bk-2018-1280.ch009
• Honors Modules To Infuse Research into the Chemistry Curriculum / Palmer, Alycia M.; Anna, Laura J. / http://dx.doi.org/10.1021/bk-2018-1280.ch010
• College Students Get Excited about Whiskey: The Pseudo-Accidental Creation of a Thriving Independent Student Research Program at a Two-Year Community College / Silvestri, Regan / http://dx.doi.org/10.1021/bk-2018-1280.ch011
• What To Know Before You Write Your First NSF Proposal / Higgins, Thomas B. / http://dx.doi.org/10.1021/bk-2018-1280.ch012
• Editors' Biographies / http://dx.doi.org/10.1021/bk-2018-1280.ot001

Nearly half of all undergraduate students enroll in a two-year college, and many STEM students take their introductory chemistry courses at a two-year college. The educational pathway of these students is often complex and nonlinear towards completion of a certificate, degree and/or transfer to a four-year program. These non-traditional pathways present distinct challenges in and out of the classroom for the educators who are trying to serve this important and diverse group of students. This book provides some insight into the current state of chemistry education reform at two-year colleges, provides specific ways to address some of the challenges of educating two-year college students, and reports strategies for success in chemistry at the two-year college. The contributing authors are chemical educators who have presented at one or more of our Strategies Promoting Success of Two-year College Students symposia that have been held at the Spring ACS National meetings since 2015.
(source: Nielsen Book Data)