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The Red Knight
None
Dangerous to Know
After Breed, a thief assasin of small renown is chased by a dragon.
Doctor Who
"A unique look into the BBC s most popular family drama, Doctor Who- The Writer's Tale is a year in the life of the hit television series, as told by the show s Head Writer and Executive Producer. A candid and in-depth correspondence between Russell T Davies and journalist Benjamin Cook, the book explores in detail Russell's work on Series Four, revealing how he plans the series and works with the show's writers; where he gets his ideas for plot, character and scene; how actors are cast and other creative decisions are made; and how he juggles the demands of Doctor Who with the increasingly successful Torchwood and The Sarah Jane Adventures spin-offs. Russell s scripts are discussed as they develop, and Russell and Ben s wide-ranging discussions bring in experiences from previous series of Doctor Who as well as other shows Russell has written and created, including Queer As Folk, Bob & Rose, and The Second Coming. The reader is given total access to the show as it s created, and the writing is everything you would expect from Russell T Davies- warm, witty, insightful, and honest. Fully illustrated with never-before-seen photos and artwork including original drawings by Russell
Sustainable Materials
The self-learning ability of machine learning algorithms makes the investigations more accurate and accommodates all the complex requirements. Development in neural codes can accommodate the data in all the forms such as numerical values as well as images. The techniques also review the sustainability, life-span, the energy consumption in production polymer, etc. This book addresses the design, characterization, and development of prediction analysis of sustainable polymer composites using machine learning algorithms.
The Proteasomal System in Aging and Disease
This volume of Progress in Molecular Biology and Translational Science discusses cutting-edge research of proteasomes and proteasome-associated proteins and cellular systems. The volume is split into two sections. The first part discusses the current knowledge of the structure, function, and regulation of the proteasomal system. The second part describes the role of the proteasome in aging and disease. Contributions from leading authorities Informs and updates on all the latest developments in the field
Advances in Organic Synthesis
"The volume focuses on recent advances in organofluorine chemistry directed towards selective fluorine introduction into various target molecules, employing both traditional and contemporary, electrophilic and nucleophilic, fluorinating agents. It brings t"
Artificial Intelligence-based Healthcare Systems
This book explores new applications in the field of science and technology for healthcare systems. The main focus of this book is to devise smart, efficient and robust solutions for the health care sector to serve the major population of rural areas. Artificial Intelligence-based Healthcare Systems encourages scientists, engineers, and scholars across the multiple disciplines to design smart intelligent innovations on rural healthcare issues and motivate to collaborate multiple ideas to design best solutions. It also helps the readers at various levels of knowledge to further enhance their understanding for new tools and smart solutions.
Machine Learning in Molecular Sciences
Machine learning and artificial intelligence have propelled research across various molecular science disciplines thanks to the rapid progress in computing hardware, algorithms, and data accumulation. This book presents recent machine learning applications in the broad research field of molecular sciences. Written by an international group of renowned experts, this edited volume covers both the machine learning methodologies and state-of-the-art machine learning applications in a wide range of topics in molecular sciences, from electronic structure theory to nuclear dynamics of small molecules, to the design and synthesis of large organic and biological molecules. This book is a valuable resource for researchers and students interested in applying machine learning in the research of molecular sciences.
