This is a general introduction to the mathematical techniques needed to understand epidemiology. It begins with an historical outline of some disease statistics, before describing simple deterministic and stochastic models.
Adaptive Health Management Information Systems, Fourth Edition is a thorough resource for a broad range of healthcare professionals–from informaticians, physicians and nurses, to pharmacists, public health and allied health professionals–who need to keep pace the digital transformation of health care. Wholly revised, updated, and expanded in scope, the fourth edition covers the latest developments in the field of health management information systems (HMIS) including big data analytics and machine learning in health care; precision medicine; digital health commercialization; supply chain management; informatics for pharmacy and public health; digital health leadership; cybersecurity; and social media analytics.
This book proposes a novel learning approach that complements and augments the prevailing method of case-based learning. Learning these signs requires the application and integration of the fundamental skills of observation, palpation, percussion, and auscultation, and in more advanced cases, the use of maneuvers performed at the patient’s bedside. The book provides a discussion of the utility of the signs and reviews the mechanism and pathophysiology of related cardiovascular diseases. Each chapter discusses eponymic signs for a variety of cardiovascular diseases such as atherosclerosis, heart failure, hypertension, venothromboembolism, ischemic heart disease, pericarditis, and peripheral vascular disease. Finding a particular sign during the physical examination enhances clinical suspicion for a specific cardiovascular disease, directing physicians to obtain more specific studies to confirm a diagnosis. This should lead to the delivery of more efficient care with the potential benefit of lowering health care costs. Cardiovascular Eponymic Signs: Diagnostic Skills Applied During the Physical Examination is an essential resource for physicians and related professionals, residents, fellows, and graduate students in cardiology, primary care, and internal medicine.
Country-by-country, this comprehensive, annotated bibliography brings together the vast number of articles, books, conference papers, theses, dissertations, and reports that have been written about librarianship in the Islamic World during the past fifty years. It highlights sources published on a wide variety of library and information science related topics including academic libraries, bibliometrics, cataloging, collection development, exhibitions, finance, gray literature, indexing, information communication, information science, library staff, literacy, management, national libraries, networks, online databases, periodicals control, preservation, public relations, reference work, research, school libraries, security, technical services, and user training.
The definitive bible for the field of biomedical engineering, this collection of volumes is a major reference for all practicing biomedical engineers and students. Now in its fourth edition, this work presents a substantial revision, with all sections updated to offer the latest research findings. New sections address drugs and devices, personalized medicine, and stem cell engineering. Also included is a historical overview as well as a special section on medical ethics. This set provides complete coverage of biomedical engineering fundamentals, medical devices and systems, computer applications in medicine, and molecular engineering.
This book provides numerous examples of linear and nonlinear model applications. Here, we present a nearly complete treatment of the Grand Universe of linear and weakly nonlinear regression models within the first 8 chapters. Our point of view is both an algebraic view and a stochastic one. For example, there is an equivalent lemma between a best, linear uniformly unbiased estimation (BLUUE) in a Gauss–Markov model and a least squares solution (LESS) in a system of linear equations. While BLUUE is a stochastic regression model, LESS is an algebraic solution. In the first six chapters, we concentrate on underdetermined and overdetermined linear systems as well as systems with a datum defect. We review estimators/algebraic solutions of type MINOLESS, BLIMBE, BLUMBE, BLUUE, BIQUE, BLE, BIQUE, and total least squares. The highlight is the simultaneous determination of the first moment and the second central moment of a probability distribution in an inhomogeneous multilinear estimation by the so-called E-D correspondence as well as its Bayes design. In addition, we discuss continuous networks versus discrete networks, use of Grassmann–Plucker coordinates, criterion matrices of type Taylor–Karman as well as FUZZY sets. Chapter seven is a speciality in the treatment of an overjet. This second edition adds three new chapters: (1) Chapter on integer least squares that covers (i) model for positioning as a mixed integer linear model which includes integer parameters. (ii) The general integer least squares problem is formulated, and the optimality of the least squares solution is shown. (iii) The relation to the closest vector problem is considered, and the notion of reduced lattice basis is introduced. (iv) The famous LLL algorithm for generating a Lovasz reduced basis is explained. (2) Bayes methods that covers (i) general principle of Bayesian modeling. Explain the notion of prior distribution and posterior distribution. Choose the pragmatic approach for exploring the advantages of iterative Bayesian calculations and hierarchical modeling. (ii) Present the Bayes methods for linear models with normal distributed errors, including noninformative priors, conjugate priors, normal gamma distributions and (iii) short outview to modern application of Bayesian modeling. Useful in case of nonlinear models or linear models with no normal distribution: Monte Carlo (MC), Markov chain Monte Carlo (MCMC), approximative Bayesian computation (ABC) methods. (3) Error-in-variables models, which cover: (i) Introduce the error-in-variables (EIV) model, discuss the difference to least squares estimators (LSE), (ii) calculate the total least squares (TLS) estimator. Summarize the properties of TLS, (iii) explain the idea of simulation extrapolation (SIMEX) estimators, (iv) introduce the symmetrized SIMEX (SYMEX) estimator and its relation to TLS, and (v) short outview to nonlinear EIV models. The chapter on algebraic solution of nonlinear system of equations has also been updated in line with the new emerging field of hybrid numeric-symbolic solutions to systems of nonlinear equations, ermined system of nonlinear equations on curved manifolds. The von Mises–Fisher distribution is characteristic for circular or (hyper) spherical data. Our last chapter is devoted to probabilistic regression, the special Gauss–Markov model with random effects leading to estimators of type BLIP and VIP including Bayesian estimation. A great part of the work is presented in four appendices. Appendix A is a treatment, of tensor algebra, namely linear algebra, matrix algebra, and multilinear algebra. Appendix B is devoted to sampling distributions and their use in terms of confidence intervals and confidence regions. Appendix C reviews the elementary notions of statistics, namely random events and stochastic processes. Appendix D introduces the basics of Groebner basis algebra, its careful definition, the Buchberger algorithm, especially the C. F. Gauss combinatorial algorithm.
A centuries-spanning study of twenty-five pivotal wars that shaped world history, from the Greco-Persian War to the Soviet-Afghan War. Driving and dispersing peoples across the globe, giving birth to and destroying great empires, transforming cultures, and determining systems of government, warfare, as much as anything else, has fashioned our world. History’s Greatest Wars: The Epic Conflicts that Shaped Our Modern World highlights pivotal victories that changed nations, even entire continents, forever, and charts the astonishingly rapid evolution of warfare. It delineates defining moments in the development of political philosophies, as well as the scientific innovations that yielded the machine gun, the tank, and the atom bomb. From the Greco-Persian Wars that began in 500 BCE, to the Vietnam War and beyond, it vividly renders the key victories that turned the tide of war, and recounts the heroism of armies and individuals. Yet it does not shy away from showing the acts of savagery that characterize much warfare: the slaughters and massacres. History’s Greatest Wars covers twenty-five of the most important and “thunderous” wars, wars that shook the world and took part in forming the nations that, today, we call home. The best and worst of humanity is on display here, in a collection that will act as a perfect primer for novices while offering seasoned history readers new perspectives on many famous and some not-so-well-known conflicts. Sweeping in its scope, yet intimate in its insights into the motivations of politicians, strategists, commanders, and soldiers, this is a collection that will enhance your understanding of the modern world and your own place in it.
Covering every problem encountered in today’s intensive care unit, this leading critical care textbook presents the knowledge and expertise of more than 350 global experts in this fast-changing field. Beginning with the social aspects of medicine, it then discusses monitoring and organ system pathobiology followed by specific diseases states/syndromes. Each chapter begins with immediate concerns and proceeds to broader-based discussions of relevant pathophysiologic and clinical issues.
This bibliography provides an alphabetical listing of over 1500 articles, books, and dissertations that treat in some way the topic of clitics and related matters, e.g. affixes, words, word order, movement, sandhi, etc. The beginning point for the bibliographic entries is 1892, taking Jacob Wackernagel's classic work as the point of departure, and the entries cover the subsequent 100-year period. Each entury is accompanied by a series of descriptors which give an indication of the content of the item. Nearly one-third of the book is a detailed analytic index, based on the descriptors, which can aid in topical searches for relevant material. Prefatory matter includes an essay “What is a Clitic?” by Arnold M. Zwicky, a brief consideration of Wackernagel's scholarly career by Brian D. Joseph, and information on the format and use of the book itself.
This is a collection of 37 of the most important, enduring, and influential essays by one of the great linguists of this century, gathered from a wide range of journals and books spanning four decades.
This encyclopedia provides 300 interdisciplinary, cross-referenced entries that document the effect of the plague on Western society across the four centuries of the second plague pandemic, balancing medical history and technical matters with historical, cultural, social, and political factors. Encyclopedia of the Black Death is the first A–Z encyclopedia to cover the second plague pandemic, balancing medical history and technical matters with historical, cultural, social, and political factors and effects in Europe and the Islamic world from 1347–1770. It also bookends the period with entries on Biblical plagues and the Plague of Justinian, as well as modern-era material regarding related topics, such as the work of Robert Koch and Louis Pasteur, the Third Plague Pandemic of the mid-1800s, and plague in the United States. Unlike previous encyclopedic works about this subject that deal broadly with infectious disease and its social or historical contexts, including the author's own, this interdisciplinary work synthesizes much of the research on the plague and related medical history published in the last decade in accessible, compellingly written entries. Controversial subject areas such as whether "plague" was bubonic plague and the geographic source of plague are treated in a balanced and unbiased manner.
This book analyzes socio-religious transformation in Tanzania. Some scholars claim that religion has returned to the public domain since the collapse of Tanzanian socialism, and that there is a tension between Muslims and Christians. Based on focus group discussions in Dar es Salaam, author Thomas Joseph Ndaluka acquires insight into Muslim - Christian relations using Critical Discourse Analysis. He analyzes how Muslims and Christians identify and position themselves in relation to each other and the conditions which make them elevate their religious identity over other identities. Ndaluka reveals that some periphreal voices threaten social cohesion, but, in general, Muslims and Christians maintain friendly relations and avoid conflict. He also shows individualization or de-institutionalization as dominant trends in the country. However, educational institutions have remained strong and influence other institutions, such as the family. (Series: Interreligious Studies - Vol. 5)
Reflects what traditional proverbs used in Christian catechetical, liturgical, and ritual contexts reveal about Tanzanian appropriations of and interpretations of Christianity.
Here we present a nearly complete treatment of the Grand Universe of linear and weakly nonlinear regression models within the first 8 chapters. Our point of view is both an algebraic view as well as a stochastic one. For example, there is an equivalent lemma between a best, linear uniformly unbiased estimation (BLUUE) in a Gauss-Markov model and a least squares solution (LESS) in a system of linear equations. While BLUUE is a stochastic regression model, LESS is an algebraic solution. In the first six chapters we concentrate on underdetermined and overdeterimined linear systems as well as systems with a datum defect. We review estimators/algebraic solutions of type MINOLESS, BLIMBE, BLUMBE, BLUUE, BIQUE, BLE, BIQUE and Total Least Squares. The highlight is the simultaneous determination of the first moment and the second central moment of a probability distribution in an inhomogeneous multilinear estimation by the so called E-D correspondence as well as its Bayes design. In addition, we discuss continuous networks versus discrete networks, use of Grassmann-Pluecker coordinates, criterion matrices of type Taylor-Karman as well as FUZZY sets. Chapter seven is a speciality in the treatment of an overdetermined system of nonlinear equations on curved manifolds. The von Mises-Fisher distribution is characteristic for circular or (hyper) spherical data. Our last chapter eight is devoted to probabilistic regression, the special Gauss-Markov model with random effects leading to estimators of type BLIP and VIP including Bayesian estimation. A great part of the work is presented in four Appendices. Appendix A is a treatment, of tensor algebra, namely linear algebra, matrix algebra and multilinear algebra. Appendix B is devoted to sampling distributions and their use in terms of confidence intervals and confidence regions. Appendix C reviews the elementary notions of statistics, namely random events and stochastic processes. Appendix D introduces the basics of Groebner basis algebra, its careful definition, the Buchberger Algorithm, especially the C. F. Gauss combinatorial algorithm.
Provides: over 26,000 academic institutions, 150,000 staff and officials; extensive coverage of universities, colleges and other centres of learning; and detailed information on over 400 international cultural, scientific and educational organizations.
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