The Second Edition of this single-authored volume integrates multiple disciplines of basic and clinical research to help clinicians further develop the best possible care for the rehabilitation of patients with neurologic diseases. From the readable descriptions of the structures and functions of pathways for movement and cognition, the reader comes to understand the potential for training induced, pharmacologic, and near-future biologic interventions to enhance recovery. Dr. Dobkin shows how functional neuroimaging serves as a marker for whether physical, cognitive, and neuromodulating therapies work and how they sculpt the plasticity of the brain. Themes, such as how the manipulation of sensory experience can serve as a formidable tool for rehabilitation, run throughout the text, built from the level of the synapse to behaviors such as grasping, walking, and thinking. From illustrating how we may one day repair the brain and spinal cord to how to retrain spared and new pathways, Dr. Dobkin draws insights from a broad swath of fundamental research to give clinicians tools they can translate into bedside practices. The book treats the medical complications and therapeutic approaches to neurologic diseases as an interconnected matrix. The management of common medical issues, impairments, and disabilities are described across diseases. Special problems posed by patients with stroke, myelopathies, brain injury, multiple sclerosis, degenerative diseases, and motor unit disorders receive individual comment. Short-term and delayed pulse interventions for patients, along with clinical trials, are dissected and put into perspective. The First Edition of this book was titled Neurologic Rehabilitation. The title has been changed to reflect Dr. Dobkin's sense that fundamental research now drives the field of neurologic rehabilitation even more than it could in 1996 when the First Edition was published. The Second Edition features entirely new chapters on functional neuroimaging of recovery; neurostimulators and neuroprosteses; integration into the book of many new clinical and neuroscientific observations relevant to the clinician; and extensive updating and expansion of all chapters. Readers, whether clinicians serving the rehabilitation team, or students or researchers in neuroscience, neurology, physical medicine, allied health, or bioengineering, will acquire new insights and tools for creative pursuits that aim to lessen the disabilities of patients.
This book introduces state-of-the-art experimental and numerical methods and examples for evaluating the drilling performance of engineering and biological materials, particularly in thermal aspects. The authors use a common pathway to present the technological and analytical methods for both industry (metal) drilling and orthopaedic surgery (bone) drilling research, making this book a resource for both industrial and clinical readers who wish to understand the evolution of technologies, techniques and challenges in drilling. The authors also focus on advanced engineering materials, such as titanium alloys and high-strength cast irons, which have broad applications in the automotive, aerospace, medical device and sports industries. This book is a must-read for a broad audience, including engineering students in upper-level undergraduate and graduate courses that involve machining processes; for surgery residents, fellows, and practicing surgeons; and for engineers in the medical device industry who develop new bone cutting tools. Bridges the knowledge on drilling from the manufacturing industry to healthcare; Covers the experimental and modeling aspects of drilling thermal analysis; Includes experimental studies that contain parameters and data that emulate practical production and clinical drilling.
Over the past decade, many major advances have been made in the field of graph coloring via the probabilistic method. This monograph, by two of the best on the topic, provides an accessible and unified treatment of these results, using tools such as the Lovasz Local Lemma and Talagrand's concentration inequality.
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