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Ninth Symposium (International) on Combustion
Ninth Symposium (International) on Combustion covers the proceedings of the Ninth Symposium (International) on Combustion, held at Cornell University in Ithaca, New York on August 27 to September 1, 1962, under the auspices of the Combustion Institute. The book focuses on the processes and reactions involved in combustion. The selection first offers information on flame strength of propane-oxygen flames at low pressures in turbulent flow and mixing and flow in ducted turbulent jets. Topics include radial profile of the jetting velocity, radial growth of the jet, and mixing zones of a ducted jet. The text then elaborates on turbulent flame studies in two-dimensional open burners; turbulent mass transfer and rates of combustion in confined turbulent flames; and flame stabilization in a boundary layer. The publication examines the theoretical study of properties of laminar steady state flames as a function of properties of their chemical components and spectra of alkali metal-organic halide flames. The text then takes a look at the thermal radiation theory for plane flame propagation in coal dust clouds; flame characteristics of the diborane-hydrazine system; and studies of the combustion of dimethyl hydrazine and related compounds. The selection is a dependable reference for readers interested in the processes and reactions involved in combustion.
The Prediction of Future Pandemics
Prediction of the Future Pandemic: Artificial Intelligence and Nanotechnology Approaches provides a comprehensive account of the applications, challenges, and breakthroughs in using AI and nanotechnology for pandemic prediction. The book emphasizes interdisciplinary collaboration among experts and a global perspective on the prediction of future pandemics. Sections provide a comprehensive exploration of cutting-edge methodologies that leverage AI and nanotechnology to predict, analyze, and combat future pandemics. This book aims to bridge the gap between theoretical concepts and practical applications, offering insights into the integration of these advanced technologies for more accurate, timely, and ethical pandemic predictions. - Offers an in-depth examination of the integration of AI and nanotechnology in pandemic prediction - Covers many nanotechnology applications in pandemic prediction, such as nanorobotics for targeted intervention, the role of nanomaterials in prevention strategies, viral detection/nanosensors in quarantine enforcement, and nanocomposite resilience (building pandemic-proof materials) - Helps readers get to grips with the fast-evolving landscape of AI, nanotechnology, and global health - Covers both the theory and real-world applications of AI and nanotechnology in predicting pandemics - Discusses the fast-changing connection between AI, nanotechnology, and pandemic prediction