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Prentice Hall Biology by Kenneth R. Miller
Prentice Hall Biology utilizes a student-friendly approach that provides a powerful framework for connecting the key concepts of biology. New BIG IDEAs help all students focus on the most important concepts. Students explore concepts through engaging narrative, frequent use of analogies, familiar examples, and clear and instructional graphics. Now, with Success Tracker(tm) online, teachers can choose from a variety of diagnostic and benchmark tests to gauge student comprehension. Targeted remediation is available too! Whether using the text alone or in tandem with exceptional ancillaries and technology, teachers can meet the needs of every student at every learning level. With unparalleled reading support, resources to reach every student, and a proven research-based approach, authors Kenneth Miller and Joseph Levine continue to set the standard. Prentice Hall Biology delivers: Clear, accessible writing Up-to-date content A student friendly approach A powerful framework for connecting key concepts
Miller Levine Biology 2010 by Joe Miller
Biology by Kenneth Raymond Miller
The most respected and accomplished authorship team in high school biology, Ken Miller and Joe Levine are real scientists and educators who have dedicated their lives to scientific literacy. Their experience, knowledge, and insight guided them in creating this breakaway biology program -- one that continues to set the standard for clear, accessible writing. Brand-new content includes the latest scholarship on high-interest topics like stem cells, genetically modified foods, and antibiotics in animals.
Is Evolution Compatible With Christianity by Christopher Gieschen
All of these statements are false: Christians are science-deniers when it comes to evolution. Real science actually lines up more with evolution than creation as found in Genesis. Fossils are evidence for evolution. The Genesis account is fully compatible with evolution. These questions need answers! What exactly is the difference between evolution right and evolution wrong? Is it possible to bend Genesis to fit evolution? How can one defend belief in a six-day creation from the onslaughts of the evolutionists? How about any questions you have? This book is a must for any Christian about to enter a public high school or university. Accepting evolution as true is the basis for three of the ten reasons Christians give up saving faith. It is time for you to arm yourself with the truth and stand your ground logically, philosophically, scientifically, and most important biblically! Ready? Let’s go!
Miller Levine Biology by Kenneth Raymond Miller
Biology by Prentice Hall (School Division)
Stochastic Modelling For Systems Biology Third Edition by Darren J. Wilkinson
Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of "likelihood-free" methods of Bayesian inference for complex stochastic models. Having been thoroughly updated to reflect this, this third edition covers everything necessary for a good appreciation of stochastic kinetic modelling of biological networks in the systems biology context. New methods and applications are included in the book, and the use of R for practical illustration of the algorithms has been greatly extended. There is a brand new chapter on spatially extended systems, and the statistical inference chapter has also been extended with new methods, including approximate Bayesian computation (ABC). Stochastic Modelling for Systems Biology, Third Edition is now supplemented by an additional software library, written in Scala, described in a new appendix to the book. New in the Third Edition New chapter on spatially extended systems, covering the spatial Gillespie algorithm for reaction diffusion master equation models in 1- and 2-d, along with fast approximations based on the spatial chemical Langevin equation Significantly expanded chapter on inference for stochastic kinetic models from data, covering ABC, including ABC-SMC Updated R package, including code relating to all of the new material New R package for parsing SBML models into simulatable stochastic Petri net models New open-source software library, written in Scala, replicating most of the functionality of the R packages in a fast, compiled, strongly typed, functional language Keeping with the spirit of earlier editions, all of the new theory is presented in a very informal and intuitive manner, keeping the text as accessible as possible to the widest possible readership. An effective introduction to the area of stochastic modelling in computational systems biology, this new edition adds additional detail and computational methods that will provide a stronger foundation for the development of more advanced courses in stochastic biological modelling.