The food industry has seen many changes over the last several decades - new technologies have been introduced into the way we cook, manufacture, and present food products to consumers. Digital gastronomy, which combines new computational abilities such as three-dimensional (3D) printing with traditional food preparation, has allowed consumers to design and manufacture food with personalized shapes, colours, textures, and even nutrition. In addition to the personalization of food, 3D printing of food has other advantages such as promoting automation in food preparation and food sustainability through 3D-printed cell-based meats and alternative proteins. Entire meals can be constructed just by 3D food printing alone.In this textbook, the background, principles, commercial food printers, materials, regulations, business development, as well as the emerging technologies and future outlook of 3D food printing are explored. In terms of 3D-printed materials, four main classes are reviewed: namely, desserts / snacks (comprising dairy products, chocolate, sugars, and dough), fruits / vegetables, meats /alternative proteins, and pharmaceuticals / nutraceuticals.This textbook has been written to offer readers keen to learn more about 3D food printing in terms of concepts, processes, applications, and developments of 3D food printing. No prior knowledge is required. At the end of each chapter, a set of problems offers undergraduate and postgraduate students practice on the main ideas discussed within the chapter. For tertiary-level lecturers and university professors, the topic on 3D food printing can be associated to other subjects in food and nutrition, pharmaceutical and nutraceutical sciences, and food engineering.

The food industry has seen many changes over the last several decades - new technologies have been introduced into the way we cook, manufacture, and present food products to consumers. Digital gastronomy, which combines new computational abilities such as three-dimensional (3D) printing with traditional food preparation, has allowed consumers to design and manufacture food with personalized shapes, colours, textures, and even nutrition. In addition to the personalization of food, 3D printing of food has other advantages such as promoting automation in food preparation and food sustainability through 3D-printed cell-based meats and alternative proteins. Entire meals can be constructed just by 3D food printing alone.In this textbook, the background, principles, commercial food printers, materials, regulations, business development, as well as the emerging technologies and future outlook of 3D food printing are explored. In terms of 3D-printed materials, four main classes are reviewed: namely, desserts / snacks (comprising dairy products, chocolate, sugars, and dough), fruits / vegetables, meats /alternative proteins, and pharmaceuticals / nutraceuticals.This textbook has been written to offer readers keen to learn more about 3D food printing in terms of concepts, processes, applications, and developments of 3D food printing. No prior knowledge is required. At the end of each chapter, a set of problems offers undergraduate and postgraduate students practice on the main ideas discussed within the chapter. For tertiary-level lecturers and university professors, the topic on 3D food printing can be associated to other subjects in food and nutrition, pharmaceutical and nutraceutical sciences, and food engineering.

3D printed electronics have captured much attention in recent years, owing to their success in allowing on-demand fabrication of highly-customisable electronics on a wide variety of substrates and conformal surfaces. This textbook helps readers understand and gain valuable insights into 3D printed electronics. It does not require readers to have any prior knowledge on the subject.3D Printing and Additive Manufacturing of Electronics: Principles and Applications provides a comprehensive overview of the recent progress and discusses the fundamentals of the 3D printed electronics technologies, their respective advantages, shortcomings and potential applications. The book covers conventional contact printing techniques for printed electronics, 3D electronics printing techniques, materials and inks inks for 3D-printed electronics, substrates and processing for 3D-printed electronics, sintering techniques for metallic nanoparticle inks, designs and simulations, applications of 3D-printed electronics, and future trends. The book includes several related problems for the reader to test his or her understanding of the topics.This book is a good guide for anyone who is interested in the 3D printing of electronics. The book is also an effective textbook for undergraduate and graduate courses that aim to arm their students with a thorough understanding of the fundamentals of 3D printed electronics.Related Link(s)

3D printed electronics have captured much attention in recent years, owing to their success in allowing on-demand fabrication of highly-customisable electronics on a wide variety of substrates and conformal surfaces. This textbook helps readers understand and gain valuable insights into 3D printed electronics. It does not require readers to have any prior knowledge on the subject.3D Printing and Additive Manufacturing of Electronics: Principles and Applications provides a comprehensive overview of the recent progress and discusses the fundamentals of the 3D printed electronics technologies, their respective advantages, shortcomings and potential applications. The book covers conventional contact printing techniques for printed electronics, 3D electronics printing techniques, materials and inks inks for 3D-printed electronics, substrates and processing for 3D-printed electronics, sintering techniques for metallic nanoparticle inks, designs and simulations, applications of 3D-printed electronics, and future trends. The book includes several related problems for the reader to test his or her understanding of the topics.This book is a good guide for anyone who is interested in the 3D printing of electronics. The book is also an effective textbook for undergraduate and graduate courses that aim to arm their students with a thorough understanding of the fundamentals of 3D printed electronics.Related Link(s)

Covers all emergent materials (natural and artificial) that are promising for optical, infrared, and terahertz applications Comparatively analyzes these materials, elucidating their unique advantages, limitations, and application scopes Provides an up-to-date record on achievements and progress in cutting-edge optical, infrared, and terahertz applications Offers a comprehensive overview to connect multidisciplinary fields, such as materials, physics, and optics, to serve as a basis for future progress

'This book will help the reader make connections between the different branches of chemistry. Along with the theory, there are examples of recent technology applications used to help reinforce the theory being presented. Rather than only present equations and theory, the authors put a lot of effort into ensuring the reader will gain a better understanding of the concepts being presented through the use of examples, applications, illustrations, and experiments. There are also general trends, rules of thumb, common mistakes, and practical explanations for each topic. If you know someone studying chemistry or you just want to brush-up on basic chemistry, then this book is an excellent way to quickly understand many fundamental concepts in three broad areas of chemistry.'IEEE Electrical Insulation MagazineA-Level Chemistry's Best Kept Secrets! aims to inter-link and integrate different concepts and topics and it is written with the latest syllabus in mind. With effect from 2017, there would be a change in the A-level syllabus and the ability to cross link topics is integral to acing chemistry. Many guidebooks are of the expository and non-refutable type in which facts are presented rather than explained. In this book, novel and more efficient ways of looking at problems in chemistry are proposed to ensure good understanding of the subject.

The rapid spread of infectious diseases and online rumors share similarities in terms of their speed, scale, and patterns of contagion. Although these two phenomena have historically been studied separately, the COVID-19 pandemic has highlighted the devastating consequences that simultaneous crises of epidemics and misinformation can have on the world. Soon after the outbreak of COVID-19, the World Health Organization launched a campaign against the COVID-19 Infodemic, which refers to the dissemination of pandemic-related false information online that causes widespread panic and hinders recovery efforts. Undoubtedly, nothing spreads faster than fear. Networks serve as a crucial platform for viral spreading, as the actions of highly influential users can quickly render others susceptible to the same. The potential for contagion in epidemics and rumors hinges on the initial source, underscoring the need for rapid and efficient digital contact tracing algorithms to identify super-spreaders or Patient Zero. Similarly, detecting and removing rumour mongers is essential for preventing the proliferation of harmful information in online social networks. Identifying the source of large-scale contagions requires solving complex optimization problems on expansive graphs. Accurate source identification and understanding the dynamic spreading process requires a comprehensive understanding of surveillance in massive networks, including topological structures and spreading veracity. Ultimately, the efficacy of algorithms for digital contact tracing and rumour source detection relies on this understanding. This monograph provides an overview of the mathematical theories and computational algorithm design for contagion source detection in large networks. By leveraging network centrality as a tool for statistical inference, we can accurately identify the source of contagions, trace their spread, and predict future trajectories. This approach provides fundamental insights into surveillance capability and asymptotic behaviour of contagion spreading in networks. Mathematical theory and computational algorithms are vital to understanding contagion dynamics, improving surveillance capabilities, and developing effective strategies to prevent the spread of infectious diseases and misinformation.

A basic question in wireless networking is how to optimize the wireless network resource allocation for utility maximization and interference management. How can we overcome interference to efficiently optimize fair wireless resource allocation, under various stochastic constraints on quality of service demands? Network designs are traditionally divided into layers. How does fairness permeate through layers? Can physical layer innovation be jointly optimized with network layer routing control? How should large complex wireless networks be analyzed and designed with clearly-defined fairness using beamforming? Wireless Network Optimization by Perron-Frobenius Theory provides a comprehensive survey of the models, algorithms, analysis, and methodologies using a Perron-Frobenius theoretic framework to solve wireless utility maximization problems. This approach overcomes the notorious non-convexity barriers in these problems, and the optimal value and solution of the optimization problems can be analytically characterized by the spectral property of matrices induced by nonlinear positive mappings. It can even solve several previously open problems in the wireless networking literature. This survey will be of interest to all researchers, students and engineers working on wireless networking.

Power Control in Wireless Cellular Networks provides a comprehensive survey of the models, algorithms, analysis, and methodologies in this vast and growing research area. It starts with a taxonomy of the wide range of power control problem formulations, and progresses from the basic formulation to more sophisticated ones. When transmit power is the only set of optimisation variables, algorithms for fixed SIR are presented first, before turning to their robust versions and joint SIR and power optimization. This is followed by opportunistic and non-cooperative power control. Then joint control of power together with beamforming pattern, base station assignment, spectrum allocation, and transmit schedule are surveyed one by one. Power Control in Wireless Cellular Networks highlights the use of mathematical language and tools in the study of power control, including optimisation theory, control theory, game theory, and linear algebra. Practical implementations of some of the algorithms in operational networks are discussed in the concluding chapter.