Closely follows an actual structural determination. After some introductory material on the nature of x-rays, the diffraction process, and the internal geometry of crystals, the selection and preparation of a crystal are considered. Techniques of measuring raw x-ray data are covered, plus their reduction into a useable form. The second part discusses both traditional and novel methods of solving the ``phase'' problem, the principal difficulty in x-ray structure determination. The third part considers how to extract the most information from the data and how to evaluate its reliability. Finally, there is a discussion of sources of error in practice and interpretation.
Bayesian Analysis of Infectious Diseases -COVID-19 and Beyond shows how the Bayesian approach can be used to analyze the evolutionary behavior of infectious diseases, including the coronavirus pandemic. The book describes the foundation of Bayesian statistics while explicating the biology and evolutionary behavior of infectious diseases, including viral and bacterial manifestations of the contagion. The book discusses the application of Markov Chains to contagious diseases, previews data analysis models, the epidemic threshold theorem, and basic properties of the infection process. Also described are the chain binomial model for the evolution of epidemics. Features: Represents the first book on infectious disease from a Bayesian perspective. Employs WinBUGS and R to generate observations that follow the course of contagious maladies. Includes discussion of the coronavirus pandemic as well as many examples from the past, including the flu epidemic of 1918-1919. Compares standard non-Bayesian and Bayesian inferences. Offers a companion website with the R and WinBUGS code.
The formation of a protestant concept of mission, 1500-1800 -- Anglican and reformed missions to Muslims in India, 1800-1910: a study in methods -- Reformed and Anglican missions to Muslims in the near east, 1800-1910: ecclesiastical and environmental factors -- Maturing Anglican and reformed approaches to Muslims before 1938: W.H.T. Gairdner and S.M. Zwemmer
Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents useful methods for the design and analysis of agreement studies. It focuses on agreement among the various players in the diagnostic process.The author employs a Bayesian approach to provide statistical inferences
From the team’s inception in 1903, the New York Yankees were a floundering group that played as second-class citizens to the New York Giants. With four winning seasons to date, the team was purchased in 1915 by Jacob Ruppert and his partner, Cap “Til” Huston. Three years later, when Ruppert hired Miller Huggins as manager, the unlikely partnership of the two figures began, one that set into motion the Yankees’ run as the dominant baseball franchise of the 1920s and the rest of the twentieth century, capturing six American League pennants with Huggins at the helm and four more during Ruppert’s lifetime. The Yankees’ success was driven by Ruppert’s executive style and enduring financial commitment, combined with Huggins’s philosophy of continual improvement and personnel development. While Ruppert and Huggins had more than a little help from one of baseball’s greats, Babe Ruth, their close relationship has been overlooked in the Yankees’ rise to dominance. Though both were small of stature, the two men nonetheless became giants of the game with unassailable mutual trust and loyalty. The Colonel and Hug tells the story of how these two men transformed the Yankees. It also tells the larger story about baseball primarily in the tumultuous period from 1918 to 1929—with the end of the Deadball Era and the rise of the Lively Ball Era, a gambling scandal, and the collapse of baseball’s governing structure—and the significant role the Yankees played in it all. While the hitting of Babe Ruth and Lou Gehrig won many games for New York, Ruppert and Huggins institutionalized winning for the Yankees.
Knowledge: In the realm of knowledge management, information plus wisdom equals knowledge. Organizations have found that the knowledge they contain can be one of their most important competitive weapons Definition: Knowledge management: The ability of an organization to manage, store, value, and distribute knowledge. Some organizations have created the position of Chief Knowledge Manager (CKM) to handle knowledge management responsibilities Many organizations fail to effectively manage and use the most important competitive edge they possess - their knowledge and "intellectual capital." This book covers the entire growing field of knowledge management, with particular emphasis on knowledge-based systems and their use in preserving knowledge in an organization, and integrating it across departments and disciplines. This hands-on guide shows how businesses and other organizations can re-engineer their processes using an applied knowledge-based approach. Each chapter introduces a different aspect of the field and demonstrates its application in actual case studies. Examples from industry, education, and government show the wide application of this exciting new field of study. The book also covers promising trends such as learning organizations, intelligent organizations, and enterprise management.
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