Fred has moved around her whole life, one small town after another. She never minded starting over because she always had her mum, her dad and her love of roller derby. On the track she was Fred or Dead, the star jammer, a gun at smashing through a line of bodies and scoring for her team. But now Fred's life has fallen apart, and she can't imagine putting her skates on again. After road tripping to Melbourne with her dad, Fred meets a bunch of people who think they know what's best for her. And although she tries to avoid it, roller derby has a way of barging back into her life. A true jammer could push through anything, but Fred doesn't know who she is anymore. What do you do when the thing that could save you is what hurts the most?

Sixteen-year-old Robin Ellis (aka Robin CookieJars) wants to be the best jammer on her roller-derby team and maybe one day play for the Creek City Roller Derby All-Stars like her idol, Annie Mossity. But star junior player April Reid (aka April Powers) always seems to be one lap ahead. Until recently, that is. Robin has noticed that April has been losing a lot of weight, and her game is suffering. This may be Robin's chance to finally grab the MVP title. But her success may come at a very heavy cost.

USA Today Best-Selling Author Florida Book Award Silver Medal Jammer Davis has investigated many aircraft crashes— but never one with his daughter on board Jammer Davis has spent most of his life investigating aircraft accidents. When a small regional jet disappears over the jungles of Colombia, it is a tragedy like dozens of others he has seen... but for one terrible detail— his young daughter, who was en route to a semester abroad in South America, is listed on the passenger manifest. A distraught Davis rushes to Bogota and bulls his way into the inquiry. When the wreckage is located, it becomes clear the crash was unsurvivable. As the investigation gains momentum, the facts go astray. Two pilots had been shot before the crash, along with one passenger. The possibility of a hijacking looms large as the search begins to focus on two passengers who boarded the plane, yet their remains cannot be found. Davis uncovers an even more sinister plot behind the entire disaster— one that goes to the highest levels of the United States government. But how could it possibly involve his daughter? Perfect for fans of Daniel Silva, Tom Clancy, and Michael Crichton While all of the novels in the Jammer Davis Series stand on their own and can be read in any order, the publication sequence is: Fly by Wire Fly by Night Passenger 19

What is it about sports that turns otherwise sane people into raving lunatics? Why does winning compel people to tear down goal posts, and losing, to drown themselves in bad keg beer? In short, why do fans care? In search of answers, Warren St. John seeks out the roving community of RVers who follow the Alabama Crimson Tide from game to game. A movable feast of Weber grills and Igloo coolers, these are hard-core football fans who arrive on Wednesday for Saturday’s game: The Reeses, who skipped their own daughter’s wedding because it coincided with a Bama game; Ray Pradat, the Episcopal minister who watches the games on a television beside his altar while performing weddings; and John Ed, the wheeling and dealing ticket scalper whose access to good seats gives him power on par with the governor. In no time at all, St. John buys an RV (a $5,500 beater named The Hawg) and joins the caravan for a full football season, chronicling the world of the extreme fan and learning that in the shadow of the stadium, it can all begin to seem strangely normal. Rammer Jammer Yellow Hammer is not only a hilarious travel story, but a cultural anthropology of fans that goes a long way toward demystifying the universal urge to take sides and to win.

The concept of mass is one of the most fundamental notions in physics, comparable in importance only to those of space and time. But in contrast to the latter, which are the subject of innumerable physical and philosophical studies, the concept of mass has been but rarely investigated. Here Max Jammer, a leading philosopher and historian of physics, provides a concise but comprehensive, coherent, and self-contained study of the concept of mass as it is defined, interpreted, and applied in contemporary physics and as it is critically examined in the modern philosophy of science. With its focus on theories proposed after the mid-1950s, the book is the first of its kind, covering the most recent experimental and theoretical investigations into the nature of mass and its role in modern physics, from the realm of elementary particles to the cosmology of galaxies. The book begins with an analysis of the persistent difficulties of defining inertial mass in a noncircular manner and discusses the related question of whether mass is an observational or a theoretical concept. It then studies the notion of mass in special relativity and the delicate problem of whether the relativistic rest mass is the only legitimate notion of mass and whether it is identical with the classical (Newtonian) mass. This is followed by a critical analysis of the different derivations of the famous mass-energy relationship E = mc2 and its conflicting interpretations. Jammer then devotes a chapter to the distinction between inertial and gravitational mass and to the various versions of the so-called equivalence principle with which Newton initiated his Principia but which also became the starting point of Einstein's general relativity, which supersedes Newtonian physics. The book concludes with a presentation of recently proposed global and local dynamical theories of the origin and nature of mass. Destined to become a much-consulted reference for philosophers and physicists, this book is also written for the nonprofessional general reader interested in the foundations of physics.

Publisher description

The motivation for the research that is described in these volumes is the wish to explain things in terms of their underlying causes, rather than merely being satisfied with phenomenological descriptions. When this reductionist approach is applied to information processing it allows the internal structure of information to be analysed, so information processing algorithms can then be derived from first principles. One of the simplest examples of this approach is the diagonalisation of a data covariance matrix – there are many variants of this basic approach, such as singular value decomposition – in which the assumed independent components of high-dimensional data are identified and extracted. The main limitation of this type of information analysis approach is that it is based on linear algebra applied globally to the data space, so it is unable to preserve information about any local data structure in the data space. For instance, if the data lives on a low-dimensional curved manifold embedded in the data space, then only the global properties of this manifold would be preserved by global linear algebra methods. In practice, data whose high-dimensional structure is non-trivial typically lives on a noisy version of a curved manifold, so techniques for analysing such data must automatically handle this type of structure. For instance, a blurred image of a point source is described by its underlying degrees of freedom – i.e. the position of the source – and as the source moves about it generates a curved manifold that lives in the high-dimensional space of pixel values of the sampled image. The basic problem is then to deduce the internal properties of this manifold by analysing examples of such images. A more challenging problem would be to extend this analysis to images that contain several overlapping blurred images of point sources, and so on. There is no limit to the complexity of the types of high-dimensional data that one might want to analyse. These methods then need to be automated so that they do not rely on human intervention, which would then allow them to be inserted as “components” into information processing networks. The purpose of the research that is described in these volumes is to develop principled information processing methods that can be used for such analysis. Self-organising information processing networks arise naturally in this context, in which ways of cutting up the original manifold into simpler pieces emerge automatically.