HIGHLIGHTS THE USE OF BAYESIAN STATISTICS TO GAIN INSIGHTS FROM EMPIRICAL DATA Featuring an accessible approach,... Læs mere
This reference/text addresses concepts and synthetic techniques for the preparation of polymers for state-of-the-art use in biomedicine, synthetic biology, and bionanotechnology.
Covers theoretical and practical aspects related to the behavioral modelling and predistortion of wireless transmitters and power amplifiers. It includes simulation software that enables the users to apply the theory presented in the book.
This book focuses on the conversion of biomass into gas or liquid fuels. Its scope is not limited to one class... Læs mere
This book describes biosynthetic methods to synthesize heterocyclic compounds, offering a guide for the development of new drugs based on... Læs mere
This CT Volume contains 11 contributed papers from the following 2013 Materials Science and Technology (MS&T'13) symposia: Next Generation BiomaterialsSurface Properties of Biomaterials
This book serves as a manual of research techniques for electrochemically active biofilm research. Using examples... Læs mere
Focused on central nervous system (CNS) drug discovery efforts, this book educates drug researchers about the blood-brain barrier (BBB) so they can affect important improvements in one of the most significant and most challenging areas of drug discovery.
In recent years, the formation and impacts of biofilms on dairy manufacturing have been studied extensively, from the effects of microbial enzymes produced during transportation of raw milk to the mechanisms of biofilm formation by thermophilic spore-forming bacteria.
This book reviews and summarizes the many and varied forms of bioinspiration and biomimicry that are found in chemistry, from the crude to the highly sophisticated, from the near-biological to the totally industrial and abiological.
A practical approach to estimating and tracking dynamic systems in real-worl applications Much of the literature on performing estimation for non-Gaussian systems is short on practical methodology, while Gaussian methods often lack a cohesive derivation.