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Enzyme Cascade Design and Modelling
This book provides a comprehensive overview of the recent developments achieved in the field of chemo/enzymatic cascades with topics spanning from design (in vitro and in vivo) to …
Backward Stochastic Volterra Integral Equations
Explanatory Models, Unit Standards, and Personalized Learning in Educational Measurement
The papers by Jack Stenner included in this book document the technical details of an art and science of measurement that creates new entrepreneurial business opportunities.
Easy Origami 50 Models 12 Lessons
Modeling and Designing Accounting Systems
The 2nd edition of Modeling and Designing Accounting Systems: Using Access to Develop a Database continues to provide both a conceptual and practical approach to Accounting …
Modeling the Lattice Parameters of Solid Solution Alloys
In this book, models for the prediction of lattice parameters of substitutional and interstitial solid solutions as a function of concentration and temperature are presented. For …
Molecular Modeling Applications in Crystallization
Crystallization is an important purification process used in a broad range of industries, including pharmaceuticals, foods, and bulk chemicals. In recent years, molecular modeling …
102 Models of Procurement and Supply Chain Management
The updated and realigned content meets the revised academic syllabi, and gives extra depth to the use of the models within the structure of Distinction and A* grade assignments …
Introduction to Modeling Neuronal Dynamics
This book is intended as a text for a one-semester course on Mathematical and Computational Neuroscience for upper-level undergraduate and beginning graduate students of …
Model Predictive Control Enabling Flexible Operation of Data Centers
Master's Thesis from the year 2017 in the subject Engineering - Power Engineering, grade: 2.0, RWTH Aachen University (Institute for Automation of Complex Power Systems), language: …
An Investigation of a Simplified Gouging Model
Neural Modeling and Neural Networks
Research in neural modeling and neural networks has escalated dramatically in the last decade, acquiring along the way terms and concepts, such as learning, memory, perception, …