Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Whispers in the Cedars
Whispers in the Cedars: Port Gibson, Mississippi's Wintergreen Cemetery by William L. Sanders “The purpose of this book is not only to list those laid to rest in this beautiful, historic burial ground, but also to provide an easy and accurate way to locate specific graves, by using the maps and locations referenced within.” In this, author Sanders has admirably succeeded. Thoroughly researched, Whispers in the Cedars provides a systematic guide to this revered resting place in Port Gibson, Mississippi. Wanting “to let the stones speak” for themselves, Mr. Sanders records the information contained on each gravestone. And an extensive Index of Last Names offers ready access to the contents. “It is my sincere wish that the reader will find this book not only valuable as a genealogical reference tool, but may find it entertaining as well. I hope you enjoy it!” Again, a wish fulfilled in this book of remembrance and dedication.
Annual Report
None
The Masker
After a party on the Las Vegas strip, a young sissy must choose between her internet fantasy of forced feminization at the hands of mysterious handsome man, or the difficult reality of transition with the help of a cynical veteran transsexual woman. From Torrey Peters comes a dark new novella about online sissy culture, female-masking, forced feminization fantasies, internalized misogyny, and crossdressing. Illustrated with original new artwork-created especially for the novella-by the incomparable portraitist of trans women, Sybil Lamb. FOR SIGNED/NUMBERED VERSION OF THIS BOOK, PLEASE CHECK WWW.TORREYPETERS.COM
Large-Scale Structure of the Universe
Line intensity mapping (LIM) is an observational technique that probes the large-scale structure of the Universe by collecting light from a wide field of the sky. This book demonstrates a novel analysis method for LIM using machine learning (ML) technologies. The author develops a conditional generative adversarial network that separates designated emission signals from sources at different epochs. It thus provides, for the first time, an efficient way to extract signals from LIM data with foreground noise. The method is complementary to conventional statistical methods such as cross-correlation analysis. When applied to three-dimensional LIM data with wavelength information, high reproducibility is achieved under realistic conditions. The book further investigates how the trained machine extracts the signals, and discusses the limitation of the ML methods. Lastly an application of the LIM data to a study of cosmic reionization is presented. This book benefits students and researchers who are interested in using machine learning to multi-dimensional data not only in astronomy but also in general applications.
The Chautauquan
None
Annual Report
None
