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3D Printing in Orthopaedic Surgery
Get a quick, expert overview of the role of emerging 3D printing technology in orthopaedic surgery, devices, and implants. This concise resource by Drs. Matthew DiPaola and Felasfa Wodajo provides orthopaedic surgeons and residents with need-to-know information on the clinical applications of 3D printing, including current technological capabilities, guidance for practice, and future outlooks for this fast-growing area. - Covers basic principles such as engineering aspects, software, economics, legal considerations, and applications for education and surgery planning. - Discusses 3D printing in arthroplasty, trauma and deformity, the adult and pediatric spine, oncology, and more. - Includes information on setting up a home 3D printing "plant" and 3D printing biologics. - Consolidates today's available information on this burgeoning topic into a single convenient resource
Federated Learning
This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated lear...
Pain Management and the Opioid Epidemic
Drug overdose, driven largely by overdose related to the use of opioids, is now the leading cause of unintentional injury death in the United States. The ongoing opioid crisis lies at the intersection of two public health challenges: reducing the burden of suffering from pain and containing the rising toll of the harms that can arise from the use of opioid medications. Chronic pain and opioid use disorder both represent complex human conditions affecting millions of Americans and causing untold disability and loss of function. In the context of the growing opioid problem, the U.S. Food and Drug Administration (FDA) launched an Opioids Action Plan in early 2016. As part of this plan, the FDA asked the National Academies of Sciences, Engineering, and Medicine to convene a committee to update the state of the science on pain research, care, and education and to identify actions the FDA and others can take to respond to the opioid epidemic, with a particular focus on informing FDA's development of a formal method for incorporating individual and societal considerations into its risk-benefit framework for opioid approval and monitoring.
Towards Consistency and Transparency in Academic Integrity
This book is an outcome of the 4th International Conference «Plagiarism across Europe and Beyond» organized by Canakkale Onsekiz Mart University, Mendel University in Brno, and the European Network for Academic Integrity. The conference is co-funded by the Erasmus+ Strategic Partnerships Programme of the European Union. It aims to be a forum for sharing best practices and experiences by addressing issues of academic integrity from a wide-scope global perspective. With regards to the crucial role of ethics and honesty in academic work, universities are in need of more effective policies against infringements of academic standards. The papers in this book therefore aim to contribute to the standardization of consistent and transparent approaches to issues of academic integrity from several perspectives.
Probabilistic Machine Learning
A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers...
Metric Learning
Similarity between objects plays an important role in both human cognitive processes and artificial systems for recognition and categorization. How to appropriately measure such similarities for a given task is crucial to the performance of many machine learning, pattern recognition and data mining methods. This book is devoted to metric learning, a set of techniques to automatically learn similarity and distance functions from data that has attracted a lot of interest in machine learning and related fields in the past ten years. In this book, we provide a thorough review of the metric learning literature that covers algorithms, theory and applications for both numerical and structured data....
Plant and Human Health, Volume 1
Early anthropological evidence for plant use as medicine is 60,000 years old as reported from the Neanderthal grave in Iraq. The importance of plants as medicine is further supported by archeological evidence from Asia and the Middle East. Today, around 1.4 billion people in South Asia alone have no access to modern health care, and rely instead on traditional medicine to alleviate various symptoms. On a global basis, approximately 50 to 80 thousand plant species are used either natively or as pharmaceutical derivatives for life-threatening conditions that include diabetes, hypertension and cancers. As the demand for plant-based medicine rises, there is an unmet need to investigate the quali...
