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*** NOMINATED FOR THE PULITZER PRIZE! *** ARE CIVILIZATIONS ON DISTANT PLANETS MERE FANTASY? ARE ALL SIGNS OF EXTRATERRESTRIAL VISITORS FALSE? Thanks to advances in technology, we have already found a planet orbiting a star at about the same distance that Earth orbits its own star, the sun. Such a discovery suggests that intelligent life exists out there, perhaps on many worlds. But what sort of arrangement could repeatedly lead to such an awesome outcome? Nature has an orientation toward life, a built-in Primal Bias that acts in a manner both subtle and mighty (somewhat like gravitation, for instance). The effects of this Primal Bias, besides being profound, are highly diverse. Still those effects tend to favor the living state, in one way or another, so that they produce a consistent partiality toward life. As a result, organisms emerge and evolve not just through chance occurrences but with the strong support of a special Bias. As a predisposition, the Primal Bias functions largely through a "Master System," a seeming hodgepodge of powerful expedients and constraints that tend (each in its own mode) to promote whatever may help life. These expedients and constraints act as a system only in the very long term and only because all are consistent with the Primal Bias. They are generally associated with codes, including codes as rudimentary as valence or as advanced as the genetic code. The Primal Bias has a critical impact on both essence and evolution, from the earliest forms of existence to the most advanced forms of life. And that impact is cumulative. Conceivably, the Primal Bias is the key to a grand scheme underlying the constitution of the universe. This is science of the new millennium, a way to figure out some of the mysteries of the cosmos, yet the presentation is informal, non-mathematical and strikingly illustrated. Anyone interested in science or nature, or in life on other worlds, can get carried away. To order The Primal Bias, click on the table above or visit a bookstore or Amazon.com, etc. Or telephone 1-888-280-7715 (during business hours) toll-free.
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This book, first published in 1988, provides a comprehensive, integrated body of knowledge concerning agricultural productivity research, highlighting both its strengths and limitations. This book will be of value to scholars and research leaders for the knowledge it conveys of future productivity research, and will also be of interest to students of environmental studies.
If theoretical physicists can seriously entertain canonical “standard models” even for the big-bang generation of the entire universe, why cannot life scientists reach a consensus on how life has emerged and settled on this planet? Scientists are hindered by conceptual gaps between bottom-up inferences (from early Earth geological conditions) and top-down extrapolations (from modern life forms to common ancestral states). This book challenges several widely held assumptions and argues for alternative approaches instead. Primal syntheses (literally or figuratively speaking) are called for in at least five major areas. (1) The first RNA-like molecules may have been selected by solar light as being exceptionally photostable. (2) Photosynthetically active minerals and reduced phosphorus compounds could have efficiently coupled the persistent natural energy flows to the primordial metabolism. (3) Stochastic, uncoded peptides may have kick-started an ever-tightening co-evolution of proteins and nucleic acids. (4) The living fossils from the primeval RNA World thrive within modern cells. (5) From the inherently complex protocellular associations preceding the consolidation of integral genomes, eukaryotic cell organization may have evolved more naturally than simple prokaryote-like life forms. – If this book can motivate dedicated researchers to further explore the alternative mechanisms presented, it will have served its purpose well.
This book offers a theoretical and computational presentation of a variety of linear programming algorithms and methods with an emphasis on the revised simplex method and its components. A theoretical background and mathematical formulation is included for each algorithm as well as comprehensive numerical examples and corresponding MATLAB® code. The MATLAB® implementations presented in this book are sophisticated and allow users to find solutions to large-scale benchmark linear programs. Each algorithm is followed by a computational study on benchmark problems that analyze the computational behavior of the presented algorithms. As a solid companion to existing algorithmic-specific literature, this book will be useful to researchers, scientists, mathematical programmers, and students with a basic knowledge of linear algebra and calculus. The clear presentation enables the reader to understand and utilize all components of simplex-type methods, such as presolve techniques, scaling techniques, pivoting rules, basis update methods, and sensitivity analysis.
This book constitutes the refereed proceedings of the 5th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2015, held in Lège-Cap Ferret, France, in May 2015. The 56 revised full papers presented were carefully reviewed and selected from 83 submissions. The papers are organized in the following topical sections: scale space and partial differential equation methods; denoising, restoration and reconstruction, segmentation and partitioning; flow, motion and registration; photography, texture and color processing; shape, surface and 3D problems; and optimization theory and methods in imaging.
This text is designed to provide a comprehensive guide to students, researchers, or consultants who wish to carry out and to interpret analyses of economic performance, with an emphasis on productivity growth. The text includes an overview of standard productivity growth measurement techniques and adaptations, and data construc tion procedures. It goes further, however, by expanding the tradition al growth accounting (index number) framework to allow consider ation of how different aspects of firm behavior underlying productivity growth are interrelated, how they can be measured con sistently in a parametric model, and how they permit a well-defined decomposition of standard productivity growth measures. These ideas are developed by considering in detail a number of underlying theoretical results and econometric issues. The impacts of various production characteristics on productivity growth trends are also evaluated by overviewing selected methodological extensions and em pirical evidence. More specifically, in the methodological extensions, emphasis is placed on incorporation of cost and demand characteristics, such as fixity and adjustment costs, returns to scale, and the existence of market power, into analyses of productivity growth. These character istics, generally disregarded in such analyses, can have very important impacts on production structure and firm behavior, and thus on economic performance. They also provide the conceptual basis for vii viii PREFACE measures that are often used independently as indicators of economic performance, such as investment, capacity utilization, and profit measures.