Hal Schumacher, or Prince Hal as he was commonly referred to by the scribes of the day, played with the New York Giants during some of their very best years, and played along side some of the best players the game has known - Mel Ott, Bill Terry, and his pitching partner Carl Hubbell to name but a few, all of whom are in the baseball Hall of Fame. Although Hal was proud of his accomplishments as a pitcher, he kept that pride to himself. And although willing to give interviews to baseball writers of the day, he tended to keep them short and rarely placed himself on the same pedestals that other players did. The New York Giants of the 1930s played in 3 World Series contests: 1933, 1936, and 1937, the latter two against the great Yankees teams of the day, and Schumacher was an integral part of those series. He also was chosen to play in the very first All Star game in 1933. His newspaper nickname of Prince Hal was chosen as the perfect complement to King Carl Hubbell, one of the greatest pitchers of the time, and a teammate of Schumacher during most of his playing days. Many have referred to them as one of the best righty-lefty combination to have ever taken the mound during their peak years. This biography of Hal Schumacher takes us year by year through the life of Prince Hal, gives us a history both before and following his playing days, and is most valuable to the reader because it gives us some insight into a quality baseball pitcher and a quality human being.
Food research (and funding) is becoming more and more focused on health. While researchers and product developers have made great strides in food engineering, there needs to be increased focus on what happens when the food is actually digested. How is the food absorbed? Do the benefits remain? Digestion is a complex topic, and this will be the first book aimed at food researchers. Authored by a physiologist and a food engineer, the book will be a welcome addition to the literature.
Students of entomology at every level need to be able to identify and classify the insects they study. How to Know the Insects has helped generations of readers learn to do just that. The key to insect ordersthe largest section of the bookuses both written text and myriad illustrations to provide identification details down to the family level as well as for common species of each family. In addition, Bland and Jaques provide accounts of insect natural history, the basic biology of each order and of most families, and extensive material in finding, collecting, and preserving insects. The handbook serves as a valuable learning tool or reference for undergraduate and graduate students of entomology, science educators, insect collectors, and anyone interested in the diversity of insects.
A comprehensive and up-to-date primer on the latest therapeutic advances in the management and treatment of epilepsy, this work includes practical information on diagnostic criteria for all different syndromes along with detailed discussions of appropriate agents.
With the demand for more advanced fighter aircraft, relying on unstable flight mechanical characteristics to gain flight performance, more focus has been put on model-based system engineering to help with the design work. The flight control system design is one important part that relies on this modeling. Therefore, it has become more important to develop flight mechanical models that are highly accurate in the whole flight envelope. For today’s modern fighter aircraft, the basic flight mechanical characteristics change between linear and nonlinear as well as stable and unstable as an effect of the desired capability of advanced maneuvering at subsonic, transonic and supersonic speeds. This thesis combines the subject of system identification, which is the art of building mathematical models of dynamical systems based on measurements, with aeronautical engineering in order to find methods for identifying flight mechanical characteristics. Here, some challenging aeronautical identification problems, estimating model parameters from flight-testing, are treated. Two aspects are considered. The first is online identification during flight-testing with the intent to aid the engineers in the analysis process when looking at the flight mechanical characteristics. This will also ensure that enough information is available in the resulting test data for post-flight analysis. Here, a frequency domain method is used. An existing method has been developed further by including an Instrumental Variable approach to take care of noisy data including atmospheric turbulence and by a sensor-fusion step to handle varying excitation during an experiment. The method treats linear systems that can be both stable and unstable working under feedback control. An experiment has been performed on a radio-controlled demonstrator aircraft. For this, multisine input signals have been designed and the results show that it is possible to perform more time-efficient flight-testing compared with standard input signals. The other aspect is post-flight identification of nonlinear characteristics. Here the properties of a parameterized observer approach, using a prediction-error method, are investigated. This approach is compared with four other methods for some test cases. It is shown that this parameterized observer approach is the most robust one with respect to noise disturbances and initial offsets. Another attractive property is that no user parameters have to be tuned by the engineers in order to get the best performance. All methods in this thesis have been validated on simulated data where the system is known, and have also been tested on real flight test data. Both of the investigated approaches show promising results.
Most of the laws of physics are expressed in the form of differential equations; that is our legacy from Isaac Newton. The customary separation of the laws of nature from contingent boundary or initial conditions, which has become part of our physical intuition, is both based on and expressed in the properties of solutions of differential equations. Within these equations we make a further distinction: that between what in mechanics are called the equations of motion on the one hand and the specific forces and shapes on the other. The latter enter as given functions into the former. In most observations and experiments the "equations of motion," i. e. , the structure of the differential equations, are taken for granted and it is the form and the details of the forces that are under investigation. The method by which we learn what the shapes of objects and the forces between them are when they are too small, too large, too remote, or too inaccessi ble for direct experimentation, is to observe their detectable effects. The question then is how to infer these properties from observational data. For the theoreti cal physicist, the calculation of observable consequences from given differential equations with known or assumed forces and shapes or boundary conditions is the standard task of solving a "direct problem. " Comparison of the results with experiments confronts the theoretical predictions with nature.
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