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This book facilitates both the theoretical background and applications of fuzzy, intuitionistic fuzzy and rough, fuzzy rough sets in the area of data science. This book provides various individual, soft computing, optimization and hybridization techniques of fuzzy and intuitionistic fuzzy sets with rough sets and their applications including data handling and that of type-2 fuzzy systems. Machine learning techniques are effectively implemented to solve a diversity of problems in pattern recognition, data mining and bioinformatics. To handle different nature of problems, including uncertainty, the book highlights the theory and recent developments on uncertainty, fuzzy systems, feature extraction, text categorization, multiscale modeling, soft computing, machine learning, deep learning, SMOTE, data handling, decision making, Diophantine fuzzy soft set, data envelopment analysis, centrally measures, social networks, VolterräFredholm integro-differential equation, Caputo fractional derivative, interval optimization, decision making, classification problems. This book is predominantly envisioned for researchers and students of data science, medical scientists and professional engineers.
The series Topics in Current Chemistry Collections presents critical reviews from the journal Topics in Current Chemistry organized in topical volumes. The scope of coverage is all areas of chemical science including the interfaces with related disciplines such as biology, medicine and materials science. The goal of each thematic volume is to give the non-specialist reader, whether in academia or industry, a comprehensive insight into an area where new research is emerging which is of interest to a larger scientific audience.Each review within the volume critically surveys one aspect of that topic and places it within the context of the volume as a whole. The most significant developments of the last 5 to 10 years are presented using selected examples to illustrate the principles discussed. The coverage is not intended to be an exhaustive summary of the field or include large quantities of data, but should rather be conceptual, concentrating on the methodological thinking that will allow the non-specialist reader to understand the information presented. Contributions also offer an outlook on potential future developments in the field.The chapter "e;Aggregation-Induced Emission In Electrochemiluminescence: Advances and Perspectives"e; is available open access under a CC BY 4.0 License via link.springer.com.
This book is well-structured book which consists of 31 full chapters. The book chapters' deal with the recent research problems in the areas of modeling, control and drug development, and it presents various techniques of COVID-19 outbreak prevention modeling. The book also concentrates on computational simulations that may help speed up the development of drugs to counter the novel coronavirus responsible for COVID-19.
This book reports on fundamental research, cutting-edge technologies and industrially-relevant applications in biomedical engineering. It covers methods for analysis, modeling and simulation of biological systems, reporting on the development and design of advanced biosensors, nanoparticles and wearable devices. It covers applications in disease monitoring and therapy, tissue engineering, sport and rehabilitation, and telehealth. It also reports on engineering methods for improving and monitoring medical service, and on advanced robotic applications. Gathering the proceedings of the XLV Congreso Nacional de Ingenieria Biomedica (CNIB2022), organised by the Mexican Society of Biomedical Engineering, this book offers a timely snapshot on technologies and methods in bioengineering, and on challenges related to their practical implementation in the health sector.
Handbook of Thermosetting Foams, Aerogels, and Hydrogels: From Fundamentals to Advanced Applications presents the latest knowledge on the preparation, characterization, properties, and applications of thermoset foams, aerogels, and hydrogels.This book begins by introducing thermoset foams, aerogels, and hydrogels, their characteristics, current applications, potential for further development, and environmental impact. This is followed by three sections, each focusing on foams, aerogels, and hydrogels developed from a specifi c thermosetting polymer category, covering polyurethane, epoxy resins, and formaldehyde. In each section, detailed coverage guides the reader through the preparation, structure, characterization, properties, processing, and applications of foams, aerogels, and hydrogels based on that material, as well as addressing key challenges in terms of design, processing, and implementation, and possible solutions.This is a valuable resource for researchers and advanced students with an interest in thermoset lightweight materials, across the disciplines of polymer science, chemistry, nanotechnology, materials science, and engineering. This is also of interest to R&D professionals, engineers, and scientists working with foams, hydrogels, and aerogels for a range of applications and industries.
Synthetic Polymers in Drug and Biotherapeutics Delivery covers new polymers that are fast replacing obsolete polymers in the field of drug delivery. Each chapter focuses on a specific polymer, detailing its design, synthesis, fabrication techniques, and applications in drug and biotherapeutics delivery. Synthetic polymers provide a unique set of opportunities in drug and biotherapeutics delivery due to their chemical versatility and tunable physicochemical properties. Such polymers can be formulated into nanoparticles, nanofibers, nanogels, microparticles, beads, hydrogels, and scaffolds to suit specific needs such as drug release rate, and biodegradation with low toxicity. This book covers new polymers that are fast replacing obsolete polymers in the field of drug delivery. Each chapter will focus on a specific polymer detailing its design, synthesis, fabrication techniques, and applications in drug and biotherapeutics delivery. This book provides a thorough review of the latest research in this rapidly changing field and would be of interest to materials scientists, pharmaceutical scientists, biomedical engineers, chemical engineers, and clinicians with an interest in materials development.
Artificial Intelligence in Healthcare and COVID-19 showcases theoretical concepts and implementational and research perspectives surrounding AI. The book addresses both medical and technological visions, making it even more applied. With the advent of COVID-19, it is obvious that leading universities and medical schools must include these topics and case studies in their usual courses of health informatics to keep up with the pace of technological and medical advancements. This book will also serve professors teaching courses and industry practitioners and professionals working in the R&D team of leading medical and informatics companies who want to embrace AI and eHealth to fight COVID-19. Since AI in healthcare is a comparatively new field, there exists a vacuum of literature in this field, especially when applied to COVID-19. With the area of AI in COVID-19 being quite young, students and researchers usually face a struggle to rely on the few published papers (which are obviously too specific) or whitepapers by tech-giants (which are too wide).
This book covers the fundamentals, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of AI and IoT in smart healthcare. It includes working examples, case studies, implementation and management of smart healthcare systems using AI.
This book discusses the utilization of nano-based formulations for control of viral agents. Antiviral potential of green synthesized silver, chitosan nanoparticles encapsulating curcumin, photoinduced antiviral carbon nanohorns, and role of carbon-based materials like fullerenes &carbon nanotubes in repression of viral antigens are explained.
This book demonstrates the core concepts of deep learning algorithms that, using diagrams, data tables, and examples, are especially useful for deep learning based human cancer diagnostics.
This book reviews the main principles of resistance training, from basics to modern insights. It includes practical ways to develop most of the strength training methods, including monitoring and testing procedures. It merges practical tips with knowledge about the scientific background concerning program and periodization. It describes procedures for special populations, such as elderly or women.Gathering contributions by authoritative researchers and professors in the fields of sport science and biomechanics, this book provides an integrated view of strength training programming, and describes the most important biological factors associated with this type of training. The evidence-based and detailed description of each single mechanism to be trained to enhance performance is covered in depth. Thanks to its strong academic background, an being self-contained, this book offers a valuable reference guide for advanced undergraduate and graduate students in sports science, as well as an inspiring guide for sport and health researchers and professional trainers alike.
Penile Prosthetic Surgery provides comprehensive coverage of penile prosthesis surgery. The book thoroughly describes the different types of penile prosthesis and provides step-by-step surgical procedures in diverse patients. Additionally, access to supplemental videos to accompany the procedures provide enhanced learning through the opportunity to see procedures carried out. Content covers the common tips and tricks for successful surgery and presents possible complications with accompanying solutions. Coverage includes full acknowledgement and examinational of the basic research and underling pathological mechanisms that are present in the erectile dysfunction resistant to medical therapy as well as the counselling that patients may need from both the urological and psychological point of view. The book gives a full comprehension of penile prosthesis surgery from multiple viewpoints making it the perfect reference for urologists, andrologists and psychologists.
Polymeric Materials for Biomedical Implants: Characterization, Properties, and Applications offers a comprehensive guide to the various polymers utilized in the development and application of biomedical implants. These materials possess unique properties which make them ideal for use in biomedical implants, including their high degree of flexibility, ease of fabrication, non-magnetic and radio transparent properties for medical imaging, and ease of engineering for biocompatibility. The book thoroughly reviews the properties, characterization and a broad range of applications of polymeric materials in biomedical implants, bringing all key information on this important topic together under a single reference. The book's chapters cover vital topics for the development of polymeric biomedical implants, including biomaterial-tissue interactions, mechanical and surface property requirements for different implants, as well as market and ethical issues. This will be a useful reference for academics and researchers working in materials science, biomedical engineering, regenerative medicine and pharmacology, as well as R&D groups developing biomedical implants.
Automata Theory and Formal Languages presents the difficult concepts of automata theory in a straightforward manner, including discussions on diverse concepts and tools that play major roles in developing computing machines, algorithms and code. Automata theory includes numerous concepts such as finite automata, regular grammar, formal languages, context free and context sensitive grammar, push down automata, Turing machine, and decidability, which constitute the backbone of computing machines. This book enables readers to gain sufficient knowledge and experience to construct and solve complex machines. Each chapter begins with key concepts followed by a number of important examples that demonstrate the solution. The book explains concepts and simultaneously helps readers develop an understanding of their application with real-world examples, including application of Context Free Grammars in programming languages and Artificial Intelligence, and cellular automata in biomedical problems.
The book reports on advanced topics in the areas of neurorehabilitation research and practice. It focuses on new methods for interfacing the human nervous system with electronic and mechatronic systems to restore or compensate impaired neural functions. Importantly, the book merges different perspectives, such as the clinical, neurophysiological, and bioengineering ones, to promote, feed and encourage collaborations between clinicians, neuroscientists and engineers. Based on the 2020 International Conference on Neurorehabilitation (ICNR 2020) held online on October 13-16, 2020, this book covers various aspects of neurorehabilitation research and practice, including new insights into biomechanics, brain physiology, neuroplasticity, and brain damages and diseases, as well as innovative methods and technologies for studying and/or recovering brain function, from data mining to interface technologies and neuroprosthetics. In this way, it offers a concise, yet comprehensive reference guide to neurosurgeons, rehabilitation physicians, neurologists, and bioengineers. Moreover, by highlighting current challenges in understanding brain diseases as well as in the available technologies and their implementation, the book is also expected to foster new collaborations between the different groups, thus stimulating new ideas and research directions.
This book describes the basic physical principles of techniques to generate and ultrashort pulse lasers and applications to ultrafast spectroscopy of various materials covering chemical molecular compounds, solid-state materials, exotic novel materials including topological materials, biological molecules and bio- and synthetic polymers. It introduces non-linear optics which provides the basics of generation and measurement of pulses and application examples of ultrafast spectroscopy to solid state physics. Also it provide not only material properties but also material processing procedures. The book describes also details of the world shortest visible laser and DUV lasers developed by the author's group. It is composed of the following 12 Sections: The special features of this book is that it is written by a single author with a few collaborators in a systematic way. Hence it provides a comprehensive and systematic description of the research field of ultrashort pulse lasers and ultrafast spectroscopy.Generation of ultrashort pulses in deep ultraviolet to near infraredGeneration of ultrashort pulses in terahertzCarrier envelope phase (CEP)Simple NLO processes with a few colorsMulti-color involved NLO processesMulti-color ultrashort pulse generationNLO materialsNLO processes in time-resolved spectroscopyLow dimension materialsConductors and superconductorsChemical reactions and material processingPhotobiological reactions
An essential text for innovators, this book provides a clear framework for the innovation pathway, describing step-by-step how projects are taken from concept to marketing, and also includes a current assessment of emerging technologies that will influence medical innovation in the future.
This book highlights application of nanomaterials for drug delivery, therapy, and engineering. It covers stimuli-sensitive drug delivery systems including an overview of the physical, chemical, biological, and nano systems. It also presents clinical status for different types of nanoplatforms and assesses novel applications of nanomaterials.
This book reflects contributions from experts in biological and health effects of Radio Frequency (RF)/Microwave and Extremely Low Frequency (ELF) Electromagnetic Fields (EMFs) used in wireless communications (WC) and other technological applications. Diverse topics related to physics, biology, pathology, epidemiology, and plausible biophysical and biochemical mechanisms of WC EMFs emitted by antennas and devices are included. Discussions on the possible consequences of fifth generation (5G) mobile telephony (MT) EMFs based on available data and correlation between anthropogenic EMF exposures and various pathological conditions such as infertility, cancer, electro-hypersensitivity, organic and viral diseases, and effects on animals, plants, trees, and environment are included. It further illustrates individual and public health protection and the setting of biologically- and epidemiologically-based exposure limits.Features:Covers biological and health effects, including oxidative stress, DNA damage, reproductive effects of mobile phones/antennas (2G, 3G, 4G), cordless phones, Wi-Fi, etc.Describes effects induced by real-life exposures by commercially available devices/antennas.Illustrates biophysical and biochemical mechanisms that fill the gap between recorded experimental and epidemiological findings and their explanations.Explores experimental and epidemiological facts and mechanisms of action. Provides explanations and protection tips.Transcends across physical, biological, chemical, health, epidemiological, and environmental aspects of the topic.This book is aimed at senior undergraduate/graduate students in physics, biology, medicine, bioelectromagnetics, electromagnetic biology, non-ionizing radiation biophysics, telecommunications, electromagnetism, bioengineering, and dosimetry.
The rise in living standards increases the expectation of people in almost every field. At the forefront is health. Over the past few centuries, there have been major developments in healthcare. Medical device technology and developments in artificial intelligence (AI) are among the most important ones. The improving technology and our ability to harness the technology effectively by means such as AI have led to unprecedented advances, resulting in early diagnosis of diseases. AI algorithms enable the fast and early evaluation of images from medical devices to maximize the benefits. While developments in the field of AI were quickly adapted to the field of health, in some cases this contributed to the formation of innovative artificial intelligence algorithms. Today, the most effective artificial intelligence method is accepted as deep learning. Convolutional neural network (CNN) architectures are deep learning algorithms used for image processing. This book contains applications of CNN methods. The content is quite extensive, including the application of different CNN methods to various medical image processing problems. Readers will be able to analyze the effects of CNN methods presented in the book in medical applications.
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