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                <text>Recently, a revolution in nanotechnology has pervaded all fields related to animal science. This book collection focuses on the potential applications of nanotechnology in the field of animal science, particularly livestock production and medication. The studies/reviews published in this book show the preparation protocols and physiochemical and biological properties of the innovated nanoparticles, designated for different purposes. This is in line with the potential hazards of these materials. The book collection shows that nanoparticles and nanoparticle-based systems can be developed to serve different purposes in the field of animal production and veterinary, such as the management of reproduction and assisted reproductive techniques, rapid and robust disease diagnosis and treatment, drug delivery, and animal nutrition.</text>
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                <text>Organ-on-a-chip (OOC) is a new type of biochip technology. Various types of&#13;
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important applications in drug screening and precision medicine. However,&#13;
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engineered-tissue inside, the imaging and analysis of OOC have still been a big&#13;
challenge for biomedical researchers. Considering that medical imaging is&#13;
moving towards higher spatial and temporal resolution and has more&#13;
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                <text>Wanying Gao 1†, Chunyan Wang 2†, Qiwei Li 1 , Xijing Zhang 3 ,&#13;
Jianmin Yuan 3 , Dianfu Li 4 *, Yu Sun 5 *, Zaozao Chen 1 * and&#13;
Zhongze Gu 1 *</text>
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                <text>Optimisation is one of the unavoidable key subjects in engineering and other real-world problems, which attracts researchers’ and practitioners’ attention for decades. On the other hand, computational algorithms nowadays play a definitive role in most real-life applications, from mobile phones to supercomputers, Internet servers, manufacturing, etc. An intelligent method for the enumeration of feasible solutions may lead to efficient computational algorithms. Swarm intelligence emerges as a rather new and novel of field computational intelligence that turned into a hot spot in optimization studies last two decades. This book brings together a number of research articles within the intersection of these two prominent subjects, which introduces techniques and approaches in detail and demonstrates how optimisation problems can be solved with heuristic and swarm intelligence approaches. It contains a few contributions on Particle Swarm Optimisation (PSO) area, which is one of renown swarm optimisation approaches that will shed light to issues around optimisation with swarm intelligence to guide junior researchers with implementation details provided.</text>
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                <text>Artificial Intelligence (AI) has found many applications in the past decade due to the ever increasing computing power. Artificial Neural Networks are inspired in the brain structure and consist in the interconnection of artificial neurons through artificial synapses. Training these systems requires huge amounts of data and, after the network is trained, it can recognize unforeseen data and provide useful information. The so-called Spiking Neural Networks behave similarly to how the brain functions and are very energy efficient. Up to this moment, both spiking and conventional neural networks have been implemented in software programs running on conventional computing units. However, this approach requires high computing power, a large physical space and is energy inefficient. Thus, there is an increasing interest in developing AI tools directly implemented in hardware. The first hardware demonstrations have been based on CMOS circuits for neurons and specific communication protocols for synapses. However, to further increase training speed and energy efficiency while decreasing system size, the combination of CMOS neurons with memristor synapses is being explored. The memristor is a resistor with memory which behaves similarly to biological synapses. This book explores the state-of-the-art of neuromorphic circuits implementing neural networks with memristors for AI applications.</text>
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