The United Nation's Sustainable Development Goals call for the establishment of Good Health and Well-being and target a universal digital healthcare ecosystem by 2030. However, existing technology infrastructure is ineffectual in achieving the envisioned target and requires massive reconfiguration to achieve its intended outcome. This book suggests a way forward with fair and efficient digital health networks that provide resource efficiencies and inclusive access to those who are currently under-served. Specifically, a fair and efficient digital health network that provides a common platform to its key stakeholders to facilitate sharing of information with a view to promote cooperation and maximise benefits. A promising platform for this critical application is 'cloud technology' with its offer of computing as a utility and resource sharing. This is an area that has attracted much scholarly attention as it is well-suited to foster such a network and bring together diverse players who would otherwise remain fragmented and be unable to reap the benefits that accrue from cooperation. The fundamental premise is that the notion of value in a digital-health ecosystem is brought about by the sharing and exchange of digital information. However, notwithstanding the potential of information and communication technology to transform the healthcare industry for the better, there are several barriers to its adoption, the most significant one being misaligned incentives for some stakeholders. This book suggests among other findings, that e-health in its true sense can become fair and efficient if and only if a regulatory body concerned assumes responsibility as the custodian of its citizens' health information so that 'collaboration for value' will replace 'competition for revenue' as the new axiom in delivering the public good of healthcare through digital networks.

[b]An electrifying, revelatory life of D. H. Lawrence, with a focus on his difficult middle years

This book is about building platforms for pandemic prediction. It provides an overview of probabilistic prediction for pandemic modeling based on a data-driven approach. It also provides guidance on building platforms with currently available technology using tools such as R, Shiny, and interactive plotting programs.

'Richard Dawkins is a thunderously gifted science writer.' Sunday Times

Teams working in a crisis are teams working in high turbulence environments. Blue Shark Teams thrive in a crisis. They swim through turbulence and glide to project success. This book reveals the concepts and practical insight on how to form and lead Blue Shark Teams.

Edith Widder grew up wanting to become a marine biologist. But after complications from surgery caused her to go temporarily blind while at university, she became fascinated by light, and her focus turned to bioluminescence. On her first visit to the deep ocean, in an experimental diving suit that took her to a depth of 250 metres, she turned off the suitʼs lights and witnessed breathtaking explosions of bioluminescent activity. Why was there so much light down there?

Artificial intelligence (AI) can successfully help in solving real-world problems in power transmission and distribution systems because　AI-based schemes are fast, adaptive, and robust and are applicable without any knowledge of the system parameters. This book considers the application of AI methods for the protection of different types and topologies of transmission and distribution lines. It explains the latest pattern-recognition-based methods as applicable to detection, classification, and location of a fault in the transmission and distribution lines, and to manage smart power systems including all the pertinent aspects.

Arnold Schwarzenegger - a bodybuilder-turned-real-estate mogul who turned an undefeated streak at the Mr Olympia contest into an astonishing film career and eight years as the governor of California - is, for many people, the embodiment of the American Dream. From humble beginnings in a small village in Austria, Schwarzenegger has come to symbolise the opportunities that exist for anyone willing to work hard - parlaying success and self-confidence into the influence to shape hearts and minds across the globe. Even today, whether he's campaigning against climate change or fist-bumping fellow strongmen at his self-titled athletic event, he's one of the few men on the planet who's recognisable from his first name alone. Arnold.

Over the past decades, geological survey organizations have digitized their data handling and holdings, unlocking vast amounts of data and information for computer processing. They have undertaken 3-D modeling alongside, and in some cases instead of, conventional geological mapping and begun delivering both data and interpretations to increasingly diverse stakeholder communities. Applied Multidimensional Geological Modeling provides a citable central source that documents the current capabilities and contributions of leading geological survey organization and other practitioners in industry and academia that are producing multidimensional geological models.

With over 170 pages of new material, the second edition of this widely used reference provides engineers and statisticians with an updated, easy-to-follow approach to evaluating and projecting component and system reliability by combining standard statistical methods with advanced leading-edge reliability techniques. It includes an extensive treatment of life distribution and accelerated testing models and data analysis and data simulation techniques, as well as quality control methods and algorithms used to predict component and assembly field reliability.