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Frozen shoulder is a condition most often characterized by severe shoulder pain and functional restriction of the shoulder motion in multiple directions. About 4% of the general population will develop a frozen shoulder, with numbers rising to 59% in patients with diabetes mellitus. It curiously only develops between the age of 40 and 60 years, affects more women than men and seems to be more common in patients with sedentary jobs. Disease duration varies between 1 and 3 years and consequently has a large impact on the health and economic well-being of individuals and society. Frozen Shoulder: Present and Future provides readers with insight into one of the most mysterious diseases of the human body. One day you're perfectly fine, and the next day you're hit by unbearable shoulder pain, which sets in motion many sleepless nights: welcome to the mysterious world of frozen shoulder. - Presents evidence-based treatment of frozen shoulder - Includes a section on future perspectives and ongoing research - Written by international renowned experts
Understanding the mode of action is crucial in various fields and disciplines, as it provides insights into how a particular system, process, or mechanism functions. Here are several reasons highlighting the importance of understanding the mode of action: · Understanding how a process works allows for more efficient resource allocation. This knowledge enables optimization and prevents wastage of time, money, and other resources in achieving desired outcomes. · In medicine, comprehending the mode of action of drugs or therapies is essential for targeted interventions. This knowledge helps healthcare professionals select appropriate treatments, predict potential side effects, and tailor interventions to specific conditions.
The Shoulder: Theory & Practice presents a comprehensive fusion of the current research knowledge and clinical expertise that will be essential for any clinician from any discipline who is involved with the assessment, management and rehabilitation of musculoskeletal conditions of the shoulder. This book is a team project-led by two internationally renowned researchers and clinicians, Jeremy Lewis and César Fernández-de-las-Peñas. Other members of the team include over 100 prominent clinical experts and researchers. All are at the forefront of contributing new knowledge to enable us to provide better care for those seeking support for their shoulder problem. The team also comprises the vo...
DISCOVER A PROVEN PATH TO PAIN RELIEF With empathy and scientific savvy, pain expert Dr. Saloni Sharma offers a personalized and innovative five-step pain relief program built on what she calls “microboosts,” little steps that add up to big results. Illustrated with inspiring patient examples and personal stories, her drug-free plan will enable you to: understand the unique factors contributing to your pain develop a path to resuming your most cherished activities add easy food microboosts to reduce inflammation and support your pain-fighting gut microbiome move better, at home and at work, to release natural neurochemical painkillers recharge and recover through sleep, mindfulness, stress reduction, and supportive social relationships More than just a road map to less pain, this is a guide to the greater joy, health, and well-being that every person deserves.
Of the many special roles played by proteolytic enzymes in immune reactions, this book addresses different aspects of membrane peptidases, signal transduction via ligation of membrane peptidases (especially of dipeptidyl peptidase IV/CD26 and aminopeptidase N/CD13), and regulation of membrane peptidases in vivo and in vitro. A number of newly discovered peptidases (including cathepsin F, W and X, carboxypeptidase X, attractin) are described, with special emphasis given to the role of peptidases in immune and defense reactions and in the pathogenesis of inflammatory and other diseases, including rheumatoid arthritis, pancreatitis, multiple sclerosis, Alzheimer's disease and tumours of various origins. The focus on the involvement of a selection of proteolytic enzymes in immune reactions and diseases is a unique feature of this multifaceted work , which combines biochemical, immunological and clinical research reports with literary reviews of the field.
This is an essential book for all those concerned with the field of assessment. It addresses relevant and timely conceptual and practical issues from a research perspective and, based on research results, clearly provides solutions to practical applications at the cutting edge of the emerging area of new modes of assessment. In a clear and rigorous manner, the authors explore new methods and study the various quality aspects of innovative approaches.
Peter Goos, Department of Statistics, University of Leuven, Faculty of Bio-Science Engineering and University of Antwerp, Faculty of Applied Economics, Belgium David Meintrup, Department of Mathematics and Statistics, University of Applied Sciences Ingolstadt, Faculty of Mechanical Engineering, Germany Thorough presentation of introductory statistics and probability theory, with numerous examples and applications using JMP JMP: Graphs, Descriptive Statistics and Probability provides an accessible and thorough overview of the most important descriptive statistics for nominal, ordinal and quantitative data with particular attention to graphical representations. The authors distinguish their ap...
Techniques for lighting all kinds of interior settings -- from an intimate cafe to a sports arena -- are demonstrated in this enlightening volume.
This book constitutes the refereed proceedings of the 11th International Conference on Inductive Logic Programming, ILP 2001, held in Strasbourg, France in September 2001. The 21 revised full papers presented were carefully reviewed and selected from 37 submissions. Among the topics addressed are data mining issues for multi-relational databases, supervised learning, inductive inference, Bayesian reasoning, learning refinement operators, neural network learning, constraint satisfaction, genetic algorithms, statistical machine learning, transductive inference, etc.