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Кошки – удивительные создания, у которых припасено множество разных историй. Один кот живёт в театре, дружит с мышами и поёт по ночам. Три котёнка решили устроить охоту на мышей – прочитайте, что из этого вышло! Грациозная кошка с бантом на шее – настоящая принцесса и всё знает о жизни во дворце. Рассказывает эти истории поэт Михаил Вирозуб, а познакомиться со всеми кошками можно благодаря ярким иллюстрациям Януша Грабянского, знаменитого польского художника. Присмотритесь – может быть, одна из этих кошек похожа на вашу?

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SUSTAINABLE SOLUTIONS FOR ENVIRONMENTAL POLLUTIONS This second volume in a broad, comprehensive two-volume set, “Sustainable Solutions for Environmental Pollution”, concentrates on air, water, and soil reclamation, some of the biggest challenges facing environmental engineers and scientists today. This second, new volume in the two-volume set, Sustainable Solutions for Environmental Pollution, picks up where volume one left off, covering the remediation of air, water, and soil environments. Outlining new methods and technologies for all three environmental scenarios, the authors and editor go above and beyond, introducing naturally-based techniques in addition to changes and advances in more standard methods. Written by some of the most well-known and respected experts in the field, with a prolific and expert editor, this volume takes a multidisciplinary approach, across many scientific and engineering fields, intending the two-volume set as a “one-stop shop” for all of the advances and emerging techniques and processes in this area. This groundbreaking new volume in this forward-thinking set is the most comprehensive coverage of all of these issues, laying out the latest advances and addressing the most serious current concerns in environmental pollution. Whether for the veteran engineer or the student, this is a must-have for any library. This volume: Offers new concepts and techniques for air, water, and soil environment remediation, including naturally-based solutions Provides a comprehensive coverage of removing heavy chemicals from the environment Offers new, emerging techniques for pollution prevention Is filled with workable examples and designs that are helpful for practical applications Is useful as a textbook for researchers, students, and faculty for understanding new ideas in this rapidly emerging field AUDIENCE: Petroleum, chemical, process, and environmental engineers, other scientists and engineers working in the area of environmental pollution, and students at the university and graduate level studying these areas.

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Principles in Microbiome Engineering Provides an overview of the techniques and applications insight into the complex composition and interactions of microbiomes Microbiomes, the communities of microorganisms that inhabit specific ecosystems or organisms, can be engineered to modify the structure of microbiota and reestablish ecological balance. In recent years, a better understanding of microbial composition and host-microbe interactions has led to the development of new applications for improving human health and increasing agricultural productivity and quality. Principles in Microbiome Engineering introduces readers to the tools and applications involved in manipulating the composition of a microbial community to improve the function of an eco-system. Covering a range of key topics, this up-to-date volume discusses current research in areas such as microbiome-based therapeutics for human diseases, crop plant breeding, animal husbandry, soil engineering, food and beverage applications, and more. Divided into three sections, the text first describes the critical roles of systems biology, synthetic biology, computer modelling, and machine learning in microbiome engineering. Next, the volume explores various state-of-the-art applications, including cancer immunotherapy and prevention of diseases associated with the human microbiome, followed by a concluding section offering perspectives on the future of microbiome engineering and potential applications. Introduces a variety of applications of microbiome engineering in the fields of medicine, agriculture, and food and beverage products Presents current research into the complex interactions and relationships between microbiomes and biotic and abiotic elements of their environments Examines the use of technologies such as Artificial Intelligence (AI), Machine Learning (ML), and Big Data analytics to advance understanding of microbiomes Discusses the engineering of microbiomes to address human health conditions such as neuro psychiatric disorders and autoimmune and inflammatory diseases Edited and authored by leading researchers in the rapidly evolving field, Principles in Microbiome Engineering is an essential resource for biotechnologists, biochemists, microbiologists, pharmacologists, and practitioners working in the biotechnology and pharmaceutical industries.

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Advanced Analytics and Deep Learning Models The book provides readers with an in-depth understanding of concepts and technologies related to the importance of analytics and deep learning in many useful real-world applications such as e-healthcare, transportation, agriculture, stock market, etc. Advanced analytics is a mixture of machine learning, artificial intelligence, graphs, text mining, data mining, semantic analysis. It is an approach to data analysis. Beyond the traditional business intelligence, it is a semi and autonomous analysis of data by using different techniques and tools. However, deep learning and data analysis both are high centers of data science. Almost all the private and public organizations collect heavy amounts of data, i.e., domain-specific data. Many small/large companies are exploring large amounts of data for existing and future technology. Deep learning is also exploring large amounts of unsupervised data making it beneficial and effective for big data. Deep learning can be used to deal with all kinds of problems and challenges that include collecting unlabeled and uncategorized raw data, extracting complex patterns from a large amount of data, retrieving fast information, tagging data, etc. This book contains 16 chapters on artificial intelligence, machine learning, deep learning, and their uses in many useful sectors like stock market prediction, a recommendation system for better service selection, e-healthcare, telemedicine, transportation. There are also chapters on innovations and future opportunities with fog computing/cloud computing and artificial intelligence. Audience Researchers in artificial intelligence, big data, computer science, and electronic engineering, as well as industry engineers in healthcare, telemedicine, transportation, and the financial sector. The book will also be a great source for software engineers and advanced students who are beginners in the field of advanced analytics in deep learning.

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