Five hundred years after Luther's famous posting of his 95 Theses in 1517, the church again faces an important crossroads. Sunday worship attendance is shrinking at alarming rates. There are now more "Elvis believers" in the US than Episcopalians and almost limitless spiritual options exist for those who seek faith and trust in something, but are hesitant to commit to a particular path leading to truth. The word prosthesis, normally associated with surgery, is also an apt word to describe the church's need to forge a theological identity that fits our current context. The church faces change and a transformed body, but not at the expense of the biblical richness and tradition that fueled the restlessness of the reformers. The essays gathered here, arranged around the seasons of the church year, address familiar challenges faced by all pastors and leaders in an era of transition, specifically in Christian formation and discipleship. Appropriate for group and personal reflection, 95 Prostheses employs humor and biblical accessibility with the skeptical outsider who may be considering Jesus and his church for the first time in mind.

Narrative Prosthesis: Disability and the Dependencies of Discourse develops a narrative theory of the pervasive use of disability as a device of characterization in literature and film. It argues that, while other marginalized identities have suffered cultural exclusion due to a dearth of images reflecting their experience, the marginality of disabled people has occurred in the midst of the perpetual circulation of images of disability in print and visual media. The manuscript's six chapters offer comparative readings of key texts in the history of disability representation, including the tin soldier and lame Oedipus, Montaigne's "infinities of forms" and Nietzsche's "higher men," the performance history of Shakespeare's Richard III, Melville's Captain Ahab, the small town grotesques of Sherwood Anderson's Winesburg, Ohio and Katherine Dunn's self-induced freaks in Geek Love. David T. Mitchell is Associate Professor of Literature and Cultural Studies, Northern Michigan University. Sharon L. Snyder is Assistant Professor of Film and Literature, Northern Michigan University.

Implement TMR with Your Patients and Improve Their Quality of LifeDeveloped by Dr. Todd A. Kuiken and Dr. Gregory A. Dumanian, targeted muscle reinnervation (TMR) is a new approach to accessing motor control signals from peripheral nerves after amputation and providing sensory feedback to prosthesis users. This practical approach has many advantage

This book outlines the most updated clinical guidelines that are vital for the prevention infections and care of patients with joint infections following a replacement surgery, one of the highest volume medical interventions globally. Sections address the diagnosis, management approaches and prevention of prosthetic joint infections. Written by experts in the field, this text provides a brief overview of the literature and current recommendations in each of the specified areas. Given the rapidly evolving state-of-play in this clinical area, this compendium grows increasingly important to clinicians in their management decisions. Prosthetic Joint Infections is a valuable resource for infectious disease specialists, epidemiologists, surgeons, and orthopedic specialists who may work with patients with prosthetic joint infections.

The second edition of this volume provides insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. Many advances have been made in statistical approaches towards outcome prediction, but a sensible strategy is needed for model development, validation, and updating, such that prediction models can better support medical practice. There is an increasing need for personalized evidence-based medicine that uses an individualized approach to medical decision-making. In this Big Data era, there is expanded access to large volumes of routinely collected data and an increased number of applications for prediction models, such as targeted early detection of disease and individualized approaches to diagnostic testing and treatment. Clinical Prediction Models presents a practical checklist that needs to be considered for development of a valid prediction model. Steps include preliminary considerations such as dealing with missing values; coding of predictors; selection of main effects and interactions for a multivariable model; estimation of model parameters with shrinkage methods and incorporation of external data; evaluation of performance and usefulness; internal validation; and presentation formatting. The text also addresses common issues that make prediction models suboptimal, such as small sample sizes, exaggerated claims, and poor generalizability. The text is primarily intended for clinical epidemiologists and biostatisticians. Including many case studies and publicly available R code and data sets, the book is also appropriate as a textbook for a graduate course on predictive modeling in diagnosis and prognosis. While practical in nature, the book also provides a philosophical perspective on data analysis in medicine that goes beyond predictive modeling. Updates to this new and expanded edition include: • A discussion of Big Data and its implications for the design of prediction models • Machine learning issues • More simulations with missing ‘y’ values • Extended discussion on between-cohort heterogeneity • Description of ShinyApp • Updated LASSO illustration • New case studies