DVD contains discussion and demonstration of instrumental and choral conducting techniques by the author and Eugene Migliaro Corporon; in part, animation.

Disaster Epidemiology: Methods and Applications applies the core methods of epidemiological research and practice to the assessment of the short- and long-term health effects of disasters. The persistent movement of people and economic development to regions vulnerable to natural disasters, as well as new vulnerabilities related to environmental, technological, and terrorism incidents, means that in spite of large global efforts to reduce the impacts and costs of disasters, average annual expenditures to fund rebuilding from catastrophic losses is rising faster than either population or the gross world product. Improving the resilience of individuals and communities to these natural and technological disasters, climate change, and other natural and manmade stressors is one of the grand challenges of the 21st century. This book provides a guide to disaster epidemiology methods, supported with applications from practice. It helps researchers, public health practitioners, and governmental policy makers to better quantify the impacts of disaster on the health of individuals and communities to enhance resilience to future disasters. Disaster Epidemiology: Methods and Applications explains how public health surveillance, rapid assessments, and other epidemiologic studies can be conducted in the post-disaster setting to prevent injury, illness, or death; provide accurate and timely information for decisions makers; and improve prevention and mitigation strategies for future disasters. These methods can also be applied to the study of other types of public health emergencies, such as infectious outbreaks, emerging and re-emerging diseases, and refugee health. This book gives both the public health practitioner and researcher the tools they need to conduct epidemiological studies in a disaster setting and can be used as a reference or as part of a course. - Provides a holistic perspective to epidemiology with an integration of academic and practical approaches - Showcases the use of hands-on techniques and principles to solve real-world problems - Includes contributions from both established and emerging scholars in the field of disaster epidemiology

Das führende Werk auf seinem Gebiet - jetzt durchgängig auf den neuesten Stand gebracht! Die theoretischen Grundlagen der Elektrochemie, erweitert um die aktuellsten Erkenntnisse in der Theorie des Elektronentransfers, werden hier ebenso besprochen wie alle wichtigen Anwendungen, darunter modernste Verfahren (Ultramikroelektroden, modifizierte Elektroden, LCEC, Impedanzspektrometrie, neue Varianten der Pulsvoltammetrie und andere). In erster Linie als Lehrbuch gedacht, läßt sich das Werk aber auch hervorragend zum Selbststudium und zur Auffrischung des Wissensstandes verwenden. Lediglich elementare Grundkenntnisse der physikalischen Chemie werden vorausgesetzt.

Data sharing can accelerate new discoveries by avoiding duplicative trials, stimulating new ideas for research, and enabling the maximal scientific knowledge and benefits to be gained from the efforts of clinical trial participants and investigators. At the same time, sharing clinical trial data presents risks, burdens, and challenges. These include the need to protect the privacy and honor the consent of clinical trial participants; safeguard the legitimate economic interests of sponsors; and guard against invalid secondary analyses, which could undermine trust in clinical trials or otherwise harm public health. Sharing Clinical Trial Data presents activities and strategies for the responsible sharing of clinical trial data. With the goal of increasing scientific knowledge to lead to better therapies for patients, this book identifies guiding principles and makes recommendations to maximize the benefits and minimize risks. This report offers guidance on the types of clinical trial data available at different points in the process, the points in the process at which each type of data should be shared, methods for sharing data, what groups should have access to data, and future knowledge and infrastructure needs. Responsible sharing of clinical trial data will allow other investigators to replicate published findings and carry out additional analyses, strengthen the evidence base for regulatory and clinical decisions, and increase the scientific knowledge gained from investments by the funders of clinical trials. The recommendations of Sharing Clinical Trial Data will be useful both now and well into the future as improved sharing of data leads to a stronger evidence base for treatment. This book will be of interest to stakeholders across the spectrum of research-from funders, to researchers, to journals, to physicians, and ultimately, to patients.