In the first cultural and political history of the Russian nuclear age, Paul Josephson describes the rise of nuclear physics in the USSR, the enthusiastic pursuit of military and peaceful nuclear programs through the Chernobyl disaster and the collapse of the Soviet Union, and the ongoing, self-proclaimed 'renaissance' of nuclear power in Russia in the 21st century. At the height of their power, the Soviets commanded 39,000 nuclear warheads, yet claimed to be servants of the 'peaceful atom' - which they also pursued avidly. This book examines both military and peaceful Soviet and post-Soviet nuclear programs for the long duree - before the war, during the Cold War, and in Russia to the present - whilst also grappling with the political and ideological importance of nuclear technologies, the associated economic goals, the social and environmental costs, and the cultural embrace of nuclear power. Nuclear Russia probes the juncture of history of science and technology, political and cultural history, and environmental history. It considers the atom in Russian society as a reflection of Leninist technological utopianism, Cold War imperatives, scientific hubris, public acceptance, and a state desire to conquer nature. Furthermore the book examines the vital - and perhaps unexpected - significance of ethnicity and gender in nuclear history by looking at how Kazakhs and Nenets lost their homelands and their health in Russia in the wake of nuclear testing, as well as the surprising sexualization of the taming of the female atom in the Russian 'Miss Atom' contests that commenced in the 21st century.

Biomedical Applications of Microfluidic Devices introduces the subject of microfluidics and covers the basic principles of design and synthesis of actual microchannels. The book then explores how the devices are coupled to signal read-outs and calibrated, including applications of microfluidics in areas such as tissue engineering, organ-on-a-chip devices, pathogen identification, and drug/gene delivery. This book covers high-impact fields (microarrays, organ-on-a-chip, pathogen detection, cancer research, drug delivery systems, gene delivery, and tissue engineering) and shows how microfluidics is playing a key role in these areas, which are big drivers in biomedical engineering research. This book addresses the fundamental concepts and fabrication methods of microfluidic systems for those who want to start working in the area or who want to learn about the latest advances being made. The subjects covered are also an asset to companies working in this field that need to understand the current state-of-the-art. The book is ideal for courses on microfluidics, biosensors, drug targeting, and BioMEMs, and as a reference for PhD students. The book covers the emerging and most promising areas of biomedical applications of microfluidic devices in a single place and offers a vision of the future.

IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare industry data through IoT data analytics. The book covers the analysis of ubiquitous data generated by the healthcare industry, from a wide range of sources, including patients, doctors, hospitals, and health insurance companies. The book provides AI solutions and support for healthcare industry end-users who need to analyze and manipulate this vast amount of data. These solutions feature deep learning and a wide range of intelligent methods, including simulated annealing, tabu search, genetic algorithm, ant colony optimization, and particle swarm optimization. The book also explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages, challenges and issues in data collection, data handling, and data collection set-up. Healthcare industry data or streaming data generated by ubiquitous sensors cocooned into the IoT requires advanced analytics to transform data into information. With advances in computing power, communications, and techniques for data acquisition, the need for advanced data analytics is in high demand.