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The treatment of multiple trauma is continuously updated to provide the latest treatments, and receiving great attention of surgeons, doctors, researchers, residents students, and other health practitioners. In addition, to provide optimal treatment and prevent pitfalls in management of multiple trauma cases, I hope that a scientific forum will be the right forum for sharing ideas and exchange skills on how we can provide optimal and comprehensive management of multiple traumas for society in the future.
Simply put, a logical fallacy is an error in reasoning. Learning to identify and avoid logical pitfalls is an important part of learning to think and communicate well. Jesus said, "Love the Lord your God with all your heart and with all your soul and with all your mind and with all your strength" (Mark 12:30). Identifying bad reasoning can help us do that. It enables us to better discern and convey truth and protects us from errors. Pitfalls Volume 2 highlights even more ways fallacies fail to convey truth. Now, let's strengthen our minds!
This book provides a unique visual and comprehensive approach to intra-operative technical errors and covers identification, consequences, repair and prevention of those errors. Detailed analyses of all reported complications for more than 80 major operations help you minimize the risk of errors in surgical procedures ranging from general, thoracic, vascular, and pediatric...to colorectal, endocrine, breast and trauma. A practical approach provides you with the essential guidance you need to make the best clinical decisions. Offers in-depth guidance on the prevention, management, and consequences of complications and pitfalls that occur before, during, and after surgery-all in one convenient resource. Organizes sections according to area of surgery for fast reference. Features a templated outline for specific procedures, allowing you to quickly review the associated pitfalls. Presents over 800 illustrations-including full-color intraoperative and postoperative photos-which enable you to follow the progression of a surgery and watch out for "problem areas,” while color line drawings help you visualize complex procedures.
The 9 Pitfalls of Data Science is loaded with entertaining tales of both successful and misguided approaches to interpreting data, both grand successes and epic failures.
Accurate diagnosis of neurological disorders can often be difficult due to the complex nature of the nervous system. Whilst technological advances have greatly improved diagnostic and interpretation techniques, errors can still occur, which consequently result in mistakes in therapeutic care. This book is a guide to diagnostic strategies for a multitude of common and less common neurological disorders. Scenarios are set in both a clinical and an intensive care setting. Divided into 13 sections, the text begins with an overview of general neurology. Each of the following sections examines disorders in a different part of the nervous system. Diagnostic processes are evaluated and potential areas where a clinician may make a mistake, are examined and explained in depth. The final section presents 15 authentic cases covering diagnostic challenges in critical care units, all provided by leading experts from the University of Texas Southwestern Medical Centre, USA. With contributions from internationally recognised neurologists, this comprehensive text is highly illustrated with neurological images, and many chapters feature additional editorial notes and appendices. Access to a selection of clinical videos via a QR code is also provided with this book.
Being aware of thesis and dissertation pitfalls can help the graduate student make efficient use of resources available to him or her and bring precision to research and writing of that important project. The authors present 61 cases cast as an envisioned conversation between a student and a professor whom the student consults about a problem. The cases are presented within ten chapters that proceed through a sequence of typical stages in the production of a thesis or dissertation. Chapter titles include Choosing and Defining a Research Topic, Searching the Professional Literature, Developing a Proposal, Getting Help, Devising Data-Collection Procedures, Organizing the Collected Information, Interpreting the Results, Writing the Report, Defending the Finished Product, and Publishing the Study.
The craft of designing mathematical models of dynamic objects offers a large number of methods to solve subproblems in the design, typically parameter estimation, order determination, validation, model reduc tion, analysis of identifiability, sensi tivi ty and accuracy. There is also a substantial amount of process identification software available. A typi cal 'identification package' consists of program modules that implement selections of solution methods, coordinated by supervising programs, communication, and presentation handling file administration, operator of results. It is to be run 'interactively', typically on a designer's 'work station' . However, it is generally not obvious how to do that. Using interactive identification packages necessarily leaves to the user to decide on quite a number of specifications, including which model structure to use, which subproblems to be solved in each particular case, and in what or der. The designer is faced with the task of setting up cases on the work station, based on apriori knowledge about the actual physical object, the experiment conditions, and the purpose of the identification. In doing so, he/she will have to cope with two basic difficulties: 1) The com puter will be unable to solve most of the tentative identification cases, so the latter will first have to be form11lated in a way the computer can handle, and, worse, 2) even in cases where the computer can actually produce a model, the latter will not necessarily be valid for the intended purpose.
Cardiovascular imagers are faced with the challenge of interpreting cases that include artifacts, unusual findings, or anatomic variants on an almost daily basis. These studies can result in confusion and may lead to misdiagnosis even for the most experienced imager. This book provides an approachable reference for practising cardiovascular imagers to aid with both commonly and uncommonly encountered entities that can result in inappropriate patient management. Through the focused use of case examples, this book reviews 100 conditions that can be seen in clinical practice, including pseudotumors, artifacts, anatomic variants, mimics, and unusual diagnoses. Each highly illustrated case follows a standard format, allowing readers to learn from real-life examples and provides an accessible and rapid source of reference for the improved interpretation of cardiovascular imaging and enhanced patient care. This text will be invaluable to radiologists, cardiologists, and trainees.
Clinical case studies have long been recognized as a useful adjunct to problem-based learning and continuing professional development. They emphasize the need for clinical reasoning, integrative thinking, problem-solving, communication, teamwork and self-directed learning - all desirable generic skills for health care professionals. This book is a teaching tool that bridges the gap between textbook information and everyday experience of clinicians "in the trenches". Leading practitioners bring a practical approach to these complex conditions, highlighting specific areas of diagnostic uncertainty in evaluation and treatment. Each case is taken from real-world clinical practice and reviews the diagnostic and treatment process in a systematic manner, identifying common challenges and potential pitfalls. This concise and useful guide in the Common Pitfalls series provides a step-by-step guide for everyday clinical practice, invaluable to anyone dealing with cerebrovascular disease on a front-line basis. The intended readership is trainees and non-specialist practitioners in neurology, stroke medicine, and neurosurgery.