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Mooser's Train has inspired and challenged folders for nearly five decades. For the first five years after its creation the only existing documentation was a hand-written crease map with no instructions whatsoever. Later, in 1967, hand-written notes were added by Raymond McLain but it was still left up to the reader to decipher a folding sequence on their own. It was not until 25 years later that the notes became widely available and far more readable when Dr. Robert Lang reproduced clarified versions in his book "Origami Design Secrets" in its excellent chapter on box pleating. It was not until late 2012 when my friend Hank Simon generously arranged to have diagrams produced and made available for everyone. These pages make the model fun and approachable for folders of all ages!
"Sleep is one of the most important but least understood aspects of our life, wellness, and longevity ... An explosion of scientific discoveries in the last twenty years has shed new light on this fundamental aspect of our lives. Now ... neuroscientist and sleep expert Matthew Walker gives us a new understanding of the vital importance of sleep and dreaming"--Amazon.com.
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The Chemistry of the Actinide and Transactinide Elements is a contemporary and definitive compilation of chemical properties of all of the actinide elements, especially of the technologically important elements uranium and plutonium, as well as the transactinide elements. In addition to the comprehensive treatment of the chemical properties of each element, ion, and compound from atomic number 89 (actinium) through to 109 (meitnerium), this multi-volume work has specialized and definitive chapters on electronic theory, optical and laser fluorescence spectroscopy, X-ray absorption spectroscopy, organoactinide chemistry, thermodynamics, magnetic properties, the metals, coordination chemistry, ...
A Law Commission consultation paper 'A new homicide act for England and Wales?' was published as LCCP 177 (ISBN 0117302643) in April 2006.
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Modern financial management is largely about risk management, which is increasingly data-driven. The problem is how to extract information from the data overload. It is here that advanced statistical and machine learning techniques can help. Accordingly, finance, statistics, and data analytics go hand in hand. The purpose of this book is to bring the state-of-art research in these three areas to the fore and especially research that juxtaposes these three.
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Includes the proceedings of the annual meeting of the Society.