The naval air station in Lakehurst, New Jersey, has a rich and bittersweet history steeped in success and tainted with tragedy. The area evolved from a gas warfare proving ground during World War I to the focal point of lighter-than-air operations in the United States. Labeled one of the world's first international airports, Lakehurst quickly became a hub of lighter-than-air activity. Although the dirigibles are no longer active, it remains crucial in the operational support of naval aviation as the Naval Air Engineering Station, Lakehurst. Rare photographs and material from the archives of the Navy Lakehurst Historical Society chronicle more than eighty-five years of base activity. Offering a unique glimpse of the people, the machines, and the background against which it has all unfolded, this volume examines Lakehurst's vital contributions to the development of aviation and national defense. Naval Air Station, Lakehurst explores the construction of the giant hangars and support buildings for the airships of the U.S. Navy and the glory days of the German zeppelin visits. The blimp programs from World War II through 1962 and the various schools and tenant commands turned the air station into a key component of naval aviation.

This book provides a comprehensive resource and thorough treatment in the latest development of Digital RF Memory (DRFM) technology and their key role in maintaining dominance over the electromagnetic spectrum. Part I discusses the use of advanced technology to design transceivers for spectrum sensing using unmanned systems to dominate the electromagnetic spectrum. Part II uses artificial intelligence and machine learning to enable modern spectrum sensing and detection signal processing for electronic support and electronic attack. Another key contribution is examination of counter-DRFM techniques. DRFM and transceiver design details and examples are provided along with the MATLAB software allowing the reader to construct their own embedded DRFM transceivers for unmanned systems. It examines the design trade-offs in developing multiple, structured, false target synthesis DRFM architectures and aids in developing counter-DRFM techniques and distinguish false target from real ones. Written by an expert in the field, and including MATLAB (TM) design software, this is the only comprehensive book written on the subject of DRFM.

Pepper Pace's interracial fairytale is the story of Beast; a Marine with a destroyed face and a plus sized beauty who has identity issues. A lesson learned is that beauty is not what is on the outside...In this romance that is taken from the Beauty and the Beasts' fairytale, it will leave you questioning 'who is the beauty and who is the beast?'

This book provides a corpus-led analysis of multi-word units (MWUs) in English, specifically fixed pairs of nouns which are linked by a conjunction, such as 'mum and dad', 'bride and groom' and 'law and order'. Crucially, the occurrence pattern of such pairs is dependent on genre, and this book aims to document the structural distribution of some key Linked Noun Groups (LNGs). The author looks at the usage patterns found in a range of poetry and fiction dating from the 17th to 20th century, and also highlights the important role such binomials play in academic English, while acknowledging that they are far less common in casual spoken English. His findings will be highly relevant to students and scholars working in language teaching, stylistics, and language technology (including AI).

HBO's Girls and the Awkward Politics of Gender, Race, and Privilege is a collection of essays that examines the HBO program Girls. Since its premiere in 2012, the series has garnered the attention of individuals from various walks of life. The show has been described in many terms: insightful, out-of-touch, brash, sexist, racist, perverse, complex, edgy, daring, provocative-just to name a few. Overall, there is no doubt that Girls has firmly etched itself in the fabric of early twenty-first-century popular culture. The essays in this book examine the show from various angles including: white privilege; body image; gender; culture; race; sexuality; parental and generational attitudes; third wave feminism; male emasculation and immaturity; hipster, indie, and urban music as it relates to Generation Y and Generation X. By examining these perspectives, this book uncovers many of the most pressing issues that have surfaced in the show, while considering the broader societal implications therein.

In this book, an integrated introduction to statistical inference is provided from a frequentist likelihood-based viewpoint. Classical results are presented together with recent developments, largely built upon ideas due to R.A. Fisher. The term "neo-Fisherian" highlights this.After a unified review of background material (statistical models, likelihood, data and model reduction, first-order asymptotics) and inference in the presence of nuisance parameters (including pseudo-likelihoods), a self-contained introduction is given to exponential families, exponential dispersion models, generalized linear models, and group families. Finally, basic results of higher-order asymptotics are introduced (index notation, asymptotic expansions for statistics and distributions, and major applications to likelihood inference).The emphasis is more on general concepts and methods than on regularity conditions. Many examples are given for specific statistical models. Each chapter is supplemented with problems and bibliographic notes. This volume can serve as a textbook in intermediate-level undergraduate and postgraduate courses in statistical inference.