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How can new faculty find success in academia and what can universities do to support them? In this book, the author demonstrates how a coaching-focused stance toward faculty development can improve equitable conditions within the university and contribute to faculty retention and well-being. For faculty and graduate students, this book emphasizes the skills needed to be a successful academic with a focus on lifespan learning. For universities, this book articulates how institutions can implement an equity-driven plan for faculty development. In the first section, Mitra investigates the structures that can contribute to inequities, spotlighting the unspoken assumptions and lack of clarity of ...
This book examines the toxicological and health implications of environmental epigenetics and provides knowledge through an interdisciplinary approach. Included in this volume are chapters outlining various environmental risk factors such as phthalates and dietary components, life states such as pregnancy and ageing, hormonal and metabolic considerations and specific disease risks such as cancer cardiovascular diseases and other non-communicable diseases. Environmental Epigenetics imparts integrative knowledge of the science of epigenetics and the issues raised in environmental epidemiology. This book is intended to serve both as a reference compendium on environmental epigenetics for scientists in academia, industry and laboratories and as a textbook for graduate level environmental health courses. Environmental Epigenetics imparts integrative knowledge of the science of epigenetics and the issues raised in environmental epidemiology. This book is intended to serve both as a reference compendium on environmental epigenetics for scientists in academia, industry and laboratories and as a textbook for graduate level environmental health courses.
This book offers a multidisciplinary look at the much-debated concept of “personalized medicine”. By combining a humanistic and a scientific approach, the book builds up a multidimensional way to understand the limits and potentialities of a personalized approach in medicine and healthcare. The book reflects on personalized medicine and complex diseases, the relationship between personalized medicine and the new bio-technologies, personalized medicine and personalized nutrition, and on some ethical, political, economic, and social implications of personalized medicine. This volume is of interest to researchers from several disciplines including philosophy, bio-medicine, and the social sciences. Chapter 16, “The Impact of Fantasy” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and large-scale optimization, kernel methods, and support vector machines. Consisting of 21 chapters authored by leading researchers in machine learning, this comprehensive reference: Covers the relationship between support vector machines (SVMs) and the Lasso Discusses multi-layer SVMs Explores nonparametric feature selection, basis pursuit methods, and robust compressive sensing Describes graph-based regular...
Edwin John Kraemer, son of John Leo Kraemer (1888-1988) and Isabelle Hutter (1891-1921), was born in 1918 in Iowa County, Wisconsin. He married C. Marie Burns (1924-2001), daughter of Russell F. Burns (1897-1951) and Margaret Murphy (1901-1989), in 1946 in Madison, Wisconsin. Ancestors, descendants and relatives lived mainly in Germany, Ireland, Illinois and Wisconsin.
Biomedical research results in the collection and storage of increasingly large and complex data sets. Preserving those data so that they are discoverable, accessible, and interpretable accelerates scientific discovery and improves health outcomes, but requires that researchers, data curators, and data archivists consider the long-term disposition of data and the costs of preserving, archiving, and promoting access to them. Life Cycle Decisions for Biomedical Data examines and assesses approaches and considerations for forecasting costs for preserving, archiving, and promoting access to biomedical research data. This report provides a comprehensive conceptual framework for cost-effective decision making that encourages data accessibility and reuse for researchers, data managers, data archivists, data scientists, and institutions that support platforms that enable biomedical research data preservation, discoverability, and use.