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Modelling and Control of Dynamic Spatially Distributed Systems:
Pharmaceutical Processes provides a balanced approach to help
readers to get started quickly in the field of biochemical
pharmaceuticals. From a theoretical perspective, dynamic spatially
distributed systems are introduced to address their industrial
applications. After identifying problems, the book provides readers
with modeling and control system design techniques via a novel
fuzzy set (class of objects with a continuum of grades of
membership, to describe the grade of the object belonging to this
fuzzy set) and intelligent computation methods. From an application
perspective, the book provides a thorough understanding of Good
Manufacture Practices (GMP) and the importance of identification,
modelling, and intelligent control of such systems, reducing the
test-and-error cost, and the R&D design time cycle of original
drug development.
Early Warning for Infectious Disease Outbreak: Theory and Practice
is divided into three parts, with the first section introducing
basic theory and key technologies of early warning and the basic
principles of infectious disease surveillance. The second section
introduces the technical details in the process of establishment,
operation and usage of CIDARS and Pudong Syndromic Surveillance and
the Early Warning System of the Shanghai World Expo. The third part
explores the study of early warning technology, collecting some
useful exploration in the fields of infectious diseases involving
sentinel setting, data analysis, influence factors study,
calculation and evaluation of early warning models.
First published in 1963, Advances in Parasitology contains
comprehensive and up-to-date reviews in all areas of interest in
contemporary parasitology. Advances in Parasitology includes
medical studies of parasites of major influence, such as Plasmodium
falciparum and trypanosomes. The series also contains reviews of
more traditional areas, such as zoology, taxonomy, and life
history, which shape current thinking and applications. The 2012
impact factor is 3.778.
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