This is a problem-solution approach to take your FreeSWITCH skills to the next level, where everything is explained in a practical way. If you are a system administrator, hobbyist, or someone who uses FreeSWITCH on a regular basis, this book is for you. Whether you are a FreeSWITCH expert or just getting started, this book will take your skills to the next level.
An important new approach to the study of laboratories, presenting a practical method for understanding labs in all walks of life From the “Big Science” of Bell Laboratories to the esoteric world of séance chambers to university media labs to neighborhood makerspaces, places we call “labs” are everywhere—but how exactly do we account for the wide variety of ways that they produce knowledge? More than imitations of science and engineering labs, many contemporary labs are hybrid forms that require a new methodological and theoretical toolkit to describe. The Lab Book investigates these vital, creative spaces, presenting readers with the concept of the “hybrid lab” and offering an extended—and rare—critical investigation of how labs have proliferated throughout culture. Organized by interpretive categories such as space, infrastructure, and imaginaries, The Lab Book uses both historical and contemporary examples to show how laboratories have become fundamentally connected to changes in the contemporary university. Its wide reach includes institutions like the MIT Media Lab, the Tuskegee Institute’s Jesup Wagon, ACTLab, and the Media Archaeological Fundus. The authors cover topics such as the evolution and delineation of lab-based communities, how labs’ tools and technologies contribute to defining their space, and a glossary of key hybrid lab techniques. Providing rich historical breadth and depth, The Lab Book brings into focus a critical, but often misunderstood, aspect of the contemporary arts and humanities.
Formal methods are changing how epistemology is being studied and understood. A Critical Introduction to Formal Epistemology introduces the types of formal theories being used and explains how they are shaping the subject. Beginning with the basics of probability and Bayesianism, it shows how representing degrees of belief using probabilities informs central debates in epistemology. As well as discussing induction, the paradox of confirmation and the main challenges to Bayesianism, this comprehensive overview covers objective chance, peer disagreement, the concept of full belief, and the traditional problems of justification and knowledge. Subjecting each position to a critical analysis, it explains the main issues in formal epistemology, and the motivations and drawbacks of each position. Written in an accessible language and supported study questions, guides to further reading and a glossary, positions are placed in an historic context to give a sense of the development of the field. As the first introductory textbook on formal epistemology, A Critical Introduction to Formal Epistemology is an invaluable resource for students and scholars of contemporary epistemology.
Drawing on case studies from the UK manufacturing and financial service sectors, this book argues that the emergence and popularity of a new range of management innovations reflects and facilitates the reproduction of a neo-liberal economics that has dominated Western politics for over almost a quarter of a century.
Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of "likelihood-free" methods of Bayesian inference for complex stochastic models. Having been thoroughly updated to reflect this, this third edition covers everything necessary for a good appreciation of stochastic kinetic modelling of biological networks in the systems biology context. New methods and applications are included in the book, and the use of R for practical illustration of the algorithms has been greatly extended. There is a brand new chapter on spatially extended systems, and the statistical inference chapter has also been extended with new methods, including approximate Bayesian computation (ABC). Stochastic Modelling for Systems Biology, Third Edition is now supplemented by an additional software library, written in Scala, described in a new appendix to the book. New in the Third Edition New chapter on spatially extended systems, covering the spatial Gillespie algorithm for reaction diffusion master equation models in 1- and 2-d, along with fast approximations based on the spatial chemical Langevin equation Significantly expanded chapter on inference for stochastic kinetic models from data, covering ABC, including ABC-SMC Updated R package, including code relating to all of the new material New R package for parsing SBML models into simulatable stochastic Petri net models New open-source software library, written in Scala, replicating most of the functionality of the R packages in a fast, compiled, strongly typed, functional language Keeping with the spirit of earlier editions, all of the new theory is presented in a very informal and intuitive manner, keeping the text as accessible as possible to the widest possible readership. An effective introduction to the area of stochastic modelling in computational systems biology, this new edition adds additional detail and computational methods that will provide a stronger foundation for the development of more advanced courses in stochastic biological modelling.
Bloody Bay follows the history of policing in nineteenth-century San Francisco, exploring the city’s culture of popular justice, its multi-ethnic environment, and how the unique relationships formed between informal and formal policing created a more progressive policing environment than anywhere else in the nation.
ACL reconstruction remains one of the most common orthopedic procedures performed today. This issue will discuss controversies that can arise. Articles to be included are: Diagnosis of ACL Injury: Epidemiology, mechanism of injury patterns, history, PE, and ancillary test findings including x-ray and MRI; Anatomy of the ACL: Gross, arthroscopic, and Radiographic as a basis of ACL surgery; Graft selection in ACL surgery: Who gets what and why; Management of the ACL injured knee in the skeletally immature athlete; Indications for Two-incision (outside in) ACL Surgery and many more exciting articles!
In the UK it is estimated that a third of patients in mental health services have a substance abuse problem, and that half of patients in drug and alcohol services have a mental health problem. Part of Palgrave's Foundations of Mental Health series, this book explores the intertwined issues of substance use and mental health as a social phenomenon and offers a critical, informative guide to understanding dual diagnosis. Written by authors with extensive experience within mental health and drug treatment services, Working with Dual Diagnosis explores areas that are key to understanding the relationship between the two, including: - Models for understanding substance use, mental health and the correlation of complex social and psychological factors - Treatment processes for working with individuals, groups and families and within a community setting - The historical social, political, economic and legislative context of mental health and substance use - Practice implications for dual diagnosis, including how practitioners can work with and promote better treatment, after care and support for those experiencing dual diagnosis issues. Enriched with reflective exercises, case studies and key points, this book will inform all work related to dual diagnosis populations within health, social and criminal justice service, and is an essential text for social work, nursing, occupational therapy and probation students.
This unique text explores health disparities in the United States and their implications from the perspective of a health care administration The book begins with a broad overview of health disparities including definitions from local, state, and federal legislation, as well as alternative definitions. The authors examine current and past frameworks of analysis regarding the causes of disparities and provide a statistical overview of death rates and their implications for health care administrators. In the final section of the book, each chapter looks at health disparities within each type of health care environment such as physician practices, hospitals, pharmaceutical products, Medicare/Medicaid, long-term care, insurance markets, and more.
An easily accessible reference tool and first resource, providing the reader with a definitive listing of each Matlab element, in both the standard library and the applications toolboxes, together with a brief, yet precise description of its working. It also contains a well-structured organisation of the available Matlab elements into logical subject areas, where each relevant element is described in terms of its connection to the subject area as a whole. This is backed by a practical introduction to each subject area and to Matlab programming as a whole, as well as cross-references to the most popular Matlab manuals and application texts.
This book sheds new light on the development and use of quantitative models to describe the process of skin permeation. It critically reviews the development of quantitative predictive models of skin absorption and discusses key recommendations for model development. Topics presented include an introduction to skin physiology; the underlying theories of skin absorption; the physical laboratory-based processes used to generate skin absorption data, which is in turn used to construct mathematical models describing the skin permeation process; algorithms of skin permeability including quantitative structure-activity (or permeability) relationships (QSARs or QSPRs); relationships between permeability and molecular properties; the development of formulation-focused approaches to models of skin permeability prediction; the use of artificial membranes, e.g. polydimethylsiloxane as alternatives to mammalian skin; and lastly, the use of novel Machine Learning methods in developing the next generation of predictive skin permeability models. The book will be of interest to all researchers in academia and industry working in pharmaceutical discovery and development, as well as readers from the field of occupational exposure and risk assessment, especially those whose work involves agrochemicals, bulk chemicals and cosmetics.
Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of "likelihood-free" methods of Bayesian inference for complex stochastic models. Re-written to reflect this modern perspective, this second edition covers everything necessary for a good appreciation of stochastic kinetic modelling of biological networks in the systems biology context. Keeping with the spirit of the first edition, all of the new theory is presented in a very informal and intuitive manner, keeping the text as accessible as possible to the widest possible readership. New in the Second Edition All examples have been updated to Systems Biology Markup Language Level 3 All code relating to simulation, analysis, and inference for stochastic kinetic models has been re-written and re-structured in a more modular way An ancillary website provides links, resources, errata, and up-to-date information on installation and use of the associated R package More background material on the theory of Markov processes and stochastic differential equations, providing more substance for mathematically inclined readers Discussion of some of the more advanced concepts relating to stochastic kinetic models, such as random time change representations, Kolmogorov equations, Fokker-Planck equations and the linear noise approximation Simple modelling of "extrinsic" and "intrinsic" noise An effective introduction to the area of stochastic modelling in computational systems biology, this new edition adds additional mathematical detail and computational methods that will provide a stronger foundation for the development of more advanced courses in stochastic biological modelling.
Clinical reasoning is a key skill underpinning clinical expertise. Clinical Reasoning in Musculoskeletal Practice is essential reading for the musculoskeletal practitioner to gain the contemporary knowledge and thinking capacity necessary to advance their reasoning skills. Now in its 2nd edition, it is the only all-in-one volume of up-to-date clinical reasoning knowledge with real-world case examples illustrating expert clinical reasoning. This new edition includes: • Comprehensively updated material and brand new chapters on pain science, psychosocial factors, and clinical prediction rules. • The latest clinical reasoning theory and practical strategies for learning and facilitating clinical reasoning skills. • Cutting-edge pain research and relevant psychosocial clinical considerations made accessible for the musculoskeletal practitioner. • The role of clinical prediction rules in musculoskeletal clinical reasoning. • 25 all new real-world, clinical cases by internationally renowned expert clinicians allowing you to compare your reasoning to that of the best.
This book is full of practical code examples aimed at a beginner to ease his or her learning curve.This book is written for IT professionals and enthusiasts who are interested in quickly getting a powerful telephony system up and running using the free and open source application, FreeSWITCH.Telephony experience will be helpful, but not required.
This is a problem-solution approach to take your FreeSWITCH skills to the next level, where everything is explained in a practical way. If you are a system administrator, hobbyist, or someone who uses FreeSWITCH on a regular basis, this book is for you. Whether you are a FreeSWITCH expert or just getting started, this book will take your skills to the next level.
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