Best Selling Books by Matthew Robinson

War Stories 2015, an anthology, is a collection of emotional and thought-provoking prose and poetry written by veterans and civilians exploring the effects of war. This book was made possible through the support of Post 134 and Oregon Humanities.

Life is filled with wow moments; those moments when we see something new that really impresses us and gets our attention. These wow moments make our personal lives better and more interesting. The businesses that create these wow moments, or innovations, are typically more successful. But, what is the key to creating these innovations? How are innovations born? How can simple connections between various things be made so that something new is created? Are there steps to creating new innovations and wow moments? The answers to these questions are in this book. The Knickerbocker Glory: Tasty Innovation and Even Tastier Desserts is a book about learning to innovate using the culinary arts as inspiration. More specifically, using a little known dessert - The Knickerbocker Glory - as a model to teach a simple innovation process and guide the reader through the journey from stated purpose to wow moment. The text, infographics and insets explore how great ideas can be created, shows the importance of getting ideas off paper and into reality and discusses the importance of a team effort in innovation. The book rolls back the curtain on the specific steps to use when implementing any type of innovation program. The Knickerbocker Glory: Tasty Innovation and Even Tastier Desserts starts by introducing The Knickerbocker Glory, a tall, layered ice cream concoction eaten with a very long spoon. Although today it is seen as a classic British ice cream dessert, its origins may not be truly British but American. But what makes this dessert a great story and model for innovation? It is the story of a reinvention. The American sundae, call the Knickerbocker, reinvented for a British audience. And since the original recipe for The Knickerbocker Glory has not been recorded, it is an ideal model from which to explore innovation because of all the possibilities it represents. With a basic understanding of The Knickerbocker Glory, the book walks the reader through a process from which innovations can be born. The discussion starts with the simple steps a chef might take to create something new in the kitchen, covering the importance of having a goal, where inspiration for such a goal might come from and how experimentation is used to reach the goal. From there, a deeper definition of innovation is revealed and the six steps of innovation called the ..".ates" are defined. They are Contemplate and State; Stimulate; Formulate, Ideate, Create and Iterate. A description and instruction for each step is given in the book. The ..".ates" are then applied to The Knickerbocker Glory model; examples of how each step can be applied to create something new are provided. The journey to wow moments starts with stating the purpose. The book then details how a variety of sources of inspiration (both related and unrelated) can be found and applied to The Knickerbocker Glory model and makes the point that good stimulus and inspiration is the foundation for new and richer ideas. Examples discussed include how fusion cuisine, molecular gastronomy or the more far-fetched Apple Computer Company might be leveraged to make a new Knickerbocker Glory. Following this, the origin of The Knickerbocker Glory is used to show how inspiration can be turned into new ideas. The importance of making these ideas into real "products" and repeating them until they are perfected is also discussed. Finally, the book discusses the importance of innovating as a team and details a few insights about cooking that demonstrate that even small changes to a recipe can bring about big changes to a dish, illustrating that it might not have to be something big to bring about something that is very innovative.

The 18th century was a wealth of knowledge, exploration and rapidly growing technology and expanding record-keeping made possible by advances in the printing press. In its determination to preserve the century of revolution, Gale initiated a revolution of its own: digitization of epic proportions to preserve these invaluable works in the largest archive of its kind. Now for the first time these high-quality digital copies of original 18th century manuscripts are available in print, making them highly accessible to libraries, undergraduate students, and independent scholars. Delve into what it was like to live during the eighteenth century by reading the first-hand accounts of everyday people, including city dwellers and farmers, businessmen and bankers, artisans and merchants, artists and their patrons, politicians and their constituents. Original texts make the American, French, and Industrial revolutions vividly contemporary. ++++ The below data was compiled from various identification fields in the bibliographic record of this title. This data is provided as an additional tool in helping to insure edition identification: ++++ British Library T031515 Anonymous. By Matthew Robinson-Morris, Baron Rokeby. The appendix is separately paginated, and dated on p.43: Nov. 1774. With a half-title. Pp.57-64 omitted in pagination; but text and register are continuous. London: printed for R. Baldwin; E. and C. Dilly; J. Johnson; Richardson and Co.; and J. Almon, [1774] [4],56,65-176;45, [1]p.; 8°

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Transient sounds generated from structure-borne and airborne excitation are very common in buildings and cause the majority of disturbances in dwellings. The maximum sound pressure level corresponds well with annoyance and disturbance and current guidelines use this descriptor to describe the threshold for sleep disturbance. Hence this thesis addresses a need for methods to quantify transient sound sources and prediction models that can determine maximum sound pressure levels due to these sound sources. Statistical Energy Analysis (SEA) provides a framework that describes sound radiation and structure-borne sound transmission in buildings. SEA is used in this thesis as a basis on which to develop Transient Statistical Energy Analysis (TSEA) for building acoustics. The TSEA power balance describes energy exchange between subsystems in the time domain and is controlled by the time interval. Limits for the time interval are proposed based upon energy decay and path statistics of the source subsystem. New methods are proposed for measuring and quantifying the transient power input from airborne and structure-borne excitation. Detailed analysis is also used to quantify the signal processing errors, due the time-weighted level detector and filters, associated with the measurement of maximum levels. The use of steady-state SEA coupling loss factors in TSEA for sound radiation and structure-borne sound transmission is validated through good agreement in comparisons of measurements and predictions of maximum sound and vibration levels. This validation is extended to complex transient sources that have been incorporated into TSEA, such as the ISO rubber ball, transients overlaying stationary noise and airborne transients. Case studies of heavyweight buildings show that accurate predictions of maximum sound pressure and vibration levels are given if Ns ≥ 1 and Mav ≥ 0.5. TSEA has also been validated for the prediction of structural decay curves, numerical experiments have been carried out to quantify the error in the estimation of the total loss factor and to develop an improvement to the evaluation of decay curves.

This thesis presents a framework that uses neural networks to evolve local behaviors within cellular automata to form complex collective behavior. Our framework shows how starting with an initial state and a target state for a cellular automaton, we can evolve a neural network that computes translationally invariant local interactions to form that target state. We demonstrate this framework on various test images as target states to understand its behavior and to develop optimizations. Through this, we present several novel extensions and improvements to this framework including a gradual and companion learning approach akin to transfer learning. Furthermore, we test this framework on a related problem from microbiology: predicting protein interactions from global behavior, and propose several other problems to investigate.