Digestive System Malignancies provides an up-to-date overview on the most relevant diagnostic techniques, staging of malignancies, and current therapeutic modalities for digestive system malignancies. With coverage from esophageal, gastric and pancreatic cancers, to colon, anal and peritoneal surface, this reference offers a wide-ranging guide to malignancies throughout the digestive system. The use of engaging infographics provides an "at-a-glace" perspective on the subject, allowing users to retain a large amount of information without scrolling through large text or complex algorithms. This is an important reference for clinicians, surgeons, medical students and scientists that need a quick reference on digestive system malignancies.
Brain Tumor MRI Image Segmentation Using Deep Learning Techniques offers a description of deep learning approaches used for the segmentation of brain tumors. The book demonstrates core concepts of deep learning algorithms by using diagrams, data tables and examples to illustrate brain tumor segmentation. After introducing basic concepts of deep learning-based brain tumor segmentation, sections cover techniques for modeling, segmentation and properties. A focus is placed on the application of different types of convolutional neural networks, like single path, multi path, fully convolutional network, cascade convolutional neural networks, Long Short-Term Memory - Recurrent Neural Network and Gated Recurrent Units, and more. The book also highlights how the use of deep neural networks can address new questions and protocols, as well as improve upon existing challenges in brain tumor segmentation.
Bacterial Bioflocculant for Multifunctional Features highlights research findings on the production and characterization of self-assembling bioflocculant from bacterial consortium (encompassing Bacillus subtilis, Enterococcus faecalis and Proteus mirabilis). The book describes the various high-throughput techniques for characterization of wastewater at microbiological and molecular level. Sections cover pharmaceutical compounds, macromolecular compounds and other contaminants, the biotoxicity exhibited cellular and nuclear abnormalities in the zebra fish, and high-throughput techniques used for evaluating the flocculating efficiency of the bacterial bioflocculant to remove the contaminants in different other applications. Bacterial Bioflocculant for Multifunctional Features will help users undertake further advanced research in bacterial bioflocculant for bioremediation technology and environmental prospectives. In addition, it will also inspire readers to understand bioflocculation and its functions.
Nano-Enabled Agrochemicals in Agriculture presents a targeted overview of the safe implementation of nanotechnologies within agricultural and horticultural settings, with the purpose of achieving enhanced production while maintaining ecological integrity. The growing global request for agricultural crops and products requires high standards of quality and safety, which has stimulated the search for new technologies that preserve their quality and delay their decomposition. Nanotechnology may boost plant production by improving nutrient uptake/use efficiency with nanoformulations of fertilizers and agrochemicals for plant enhancement, detection and treatment of diseases, and host-parasite interactions at the molecular level using nanosensors. It also may improve plant disease diagnostics, removal of contaminants from soil and water, postharvest management of vegetables and flowers, and reclamation of salt-affected soils. Although the markets for nanoproducts and nanoformulations continue to increase, there are also growing concerns regarding the fate and behavior of nanomaterials in environmental systems. Exploring important topics related to nanotechnology and nanomaterials, the book includes the use of nanochemicals in insect pest management, as nanofungicides, nanoherbicides, micronutrient supply, and nanosensors to monitor crop and soil health conditions, from detection of agrochemicals to their slow release of agrochemicals, and their impact on related environs. This book will serve as an excellent resource for a wide range of plant scientists who have concerns about nanomaterial interactions with terrestrial and aquatic plants.
Industrial Hemp: Food and Nutraceutical Applications is a comprehensive overview of different value chains for the industrial hemp industry. This excellent reference supports multi-disciplines and presents industrial hemp as a multi-purpose crop, with special attention paid to its food and nutraceutical applications. By combining and presenting multidisciplinary knowledge, readers will be introduced to recent progress in hemp production, processing, utilization and marketing. The book provides a systematic overview of alternative hemp applications, but also serves as a guide to the challenges needed for hemp revitalization to reach its fullness.
Nuclear Engineering Mathematical Modeling and Simulation presents the mathematical modeling of neutron diffusion and transport. Aimed at students and early career engineers, this highly practical and visual resource guides the reader through computer simulations using the Monte Carlo Method which can be applied to a variety of applications, including power generation, criticality assemblies, nuclear detection systems, and nuclear medicine to name a few. The book covers optimization in both the traditional deterministic framework of variational methods and the stochastic framework of Monte Carlo methods. Specific sections cover the fundamentals of nuclear physics, computer codes used for neutron and photon radiation transport simulations, applications of analyses and simulations, optimization techniques for both fixed-source and multiplying systems, and various simulations in the medical area where radioisotopes are used in cancer treatment.
Autonomous and Connected Heavy Vehicle Technology presents the fundamentals, definitions, technologies, standards and future developments of autonomous and connected heavy vehicles. This book provides insights into various issues pertaining to heavy vehicle technology and helps users develop solutions towards autonomous, connected, cognitive solutions through the convergence of Big Data, IoT, cloud computing and cognition analysis. Various physical, cyber-physical and computational key points related to connected vehicles are covered, along with concepts such as edge computing, dynamic resource optimization, engineering process, methodology and future directions. The book also contains a wide range of case studies that help to identify research problems and an analysis of the issues and synthesis solutions. This essential resource for graduate-level students from different engineering disciplines such as automotive and mechanical engineering, computer science, data science and business analytics combines both basic concepts and advanced level content from technical experts.
Herbal Medicines: A Boon for Healthy Human Life provides a comprehensive overview of the role of herbal medicines for treating a broad variety of human diseases, from neurological disorders to cancer and major disorders such as infectious diseases, metabolic disorders, and more. Each chapter summarizes the current state and future direction of the use of herbal medicines against multiple diseases from a translational point-of-view, making this reference a valuable source of information for a large audience, including researchers and healthcare providers interested in the field of herbal remedies.
Artificial Intelligence and Data Science in Environmental Sensing provides state-of-the-art information on the inexpensive mass-produced sensors that are used as inputs to artificial intelligence systems. The book discusses the advances of AI and Machine Learning technologies in material design for environmental areas. It is an excellent resource for researchers and professionals who work in the field of data processing, artificial intelligence sensors and environmental applications.
Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 discusses how the role of recent technologies applied to health settings can help fight virus outbreaks. Moreover, it provides guidelines on how governments and institutions should prepare and quickly respond to drastic situations using technology to support their communities in order to maintain life and functional as efficiently as possible. The book discusses topics such as AI-driven histopathology analysis for COVID-19 diagnosis, bioinformatics for subtype rational drug design, deep learning-based treatment evaluation and outcome prediction, sensor informatics for monitoring infected patients, and machine learning for tracking and prediction models. In addition, the book presents AI solutions for hospital management during an epidemic or pandemic, along with real-world solutions and case studies of successful measures to support different types of communities. This is a valuable source for medical informaticians, bioinformaticians, clinicians and other healthcare workers and researchers who are interested in learning more on how recently developed technologies can help us fight and minimize the effects of global pandemics.
Approx.340 pages
Rhizosphere Engineering is a guide to applying environmentally sound agronomic practices to improve crop yield while also protecting soil resources. Focusing on the potential and positive impacts of appropriate practices, the book includes the use of beneficial microbes, nanotechnology and metagenomics. Developing and applying techniques that not only enhance yield, but also restore the quality of soil and water using beneficial microbes such as Bacillus, Pseudomonas, vesicular-arbuscular mycorrhiza (VAM) fungi and others are covered, along with new information on utilizing nanotechnology, quorum sensing and other technologies to further advance the science. Designed to fill the gap between research and application, this book is written for advanced students, researchers and those seeking real-world insights for improving agricultural production.
Advanced Data Mining Tools and Methods for Social Computing explores advances in the latest data mining tools, methods, algorithms and the architectures being developed specifically for social computing and social network analysis. The book reviews major emerging trends in technology that are supporting current advancements in social networks, including data mining techniques and tools. It also aims to highlight the advancement of conventional approaches in the field of social networking. Chapter coverage includes reviews of novel techniques and state-of-the-art advances in the area of data mining, machine learning, soft computing techniques, and their applications in the field of social network analysis.
Features: The only insect ecology text that emphasizes insect effects on ecosystem properties and services, as well as evolutionary adaptations to environmental conditions. Includes new material on long-term trends in insect abundance, addressing the so-called "insect apocalypse?. Offers crucial updates on mechanisms by which insects affect, and potentially regulate, ecosystem structure and function. Applies ecological principles to improved management of insects for the sustainable delivery of ecosystem services
Genetic Engineering and Genome Editing for Zinc Biofortification of Rice provides the first single-volume, comprehensive resource on genetic engineering approaches, including novel genome editing techniques, that are carried out in rice, a staple crop for much of the world's population. Dietary zinc deficiency can lead to negative health outcomes, including increased risk of stunting, respiratory diseases, diarrhea, mortality during childhood, and preterm births in pregnancy. By providing a complete view of the need for zinc biofortification in rice, sections in this book discuss state-of-the-art scientific advances, and then go further, placing them in their proper scientific, regulatory and socioeconomic contexts.While zinc biofortification can be achieved through conventional breeding, genetic engineering and agronomic practices, this is the first reference to bring all the latest insights and understanding to a comprehensive resource that is based on real-world experience and targeted applications.
Designing Secure IoT devices with the Arm Platform Security Architecture and Cortex-M33 explains how to design and deploy secure IoT devices based on the Cortex-M23/M33 processor. The book is split into three parts. First, it introduces the Cortex-M33 and its architectural design and major processor peripherals. Second, it shows how to design secure software and secure communications to minimize the threat of both hardware and software hacking. And finally, it examines common IoT cloud systems and how to design and deploy a fleet of IoT devices. Example projects are provided for the Keil MDK-ARM and NXP LPCXpresso tool chains. Since their inception, microcontrollers have been designed as functional devices with a CPU, memory and peripherals that can be programmed to accomplish a huge range of tasks. With the growth of internet connected devices and the Internet of Things (IoT), ¿plain old microcontrollers are no longer suitable as they lack the features necessary to create both a secure and functional device. The recent development by ARM of the Cortex M23 and M33 architecture is intended for today¿s IoT world.
Explains real object-oriented programming in practice. This book illustrates how and why building a class model is not just placing classes into a diagram. It helps you learn the necessary organizational patterns so that your software architecture will be maintainable.
Job Hazard Analysis (JHA) identifies the basic job steps and tasks and their associated hazards and risks. This book argues that the JHA should be the centrepiece of any risk control and occupational safety and health program and a methodical analysis is required for the new American safety and health management standard ANSI/AIHA Z10.
Suitable for scientists active in magnetism research, providing readers with novel trends and achievements in magnetism, this book comprises topical review articles covering Heusler compounds, quasicrystalline solids, bulk amorphous alloys and nanocrystalline soft-magnetic alloys.
A text that describes the numerical methods that have come to be known as 'Monte Carlo.' It provides the basic detail necessary to learn how to apply Monte Carlo methods. It is suitable for undergraduate or graduate courses in numerical methods.
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