Presents recent developments in sustainable materials from various engineering fields and industry applications. Emphasizes analytical strategies, computational, and simulation approaches develop innovative sustainable materials. Discusses an artificial intelligence approach, rapid prototyping, and customized production. Chapters are written by global experts. Includes case studies and research outcomes.

This book presents the current state of the problem of describing the musculoskeletal system of a person. Models of the destruction of the endoskeleton and the restoration of its functions using exoskeleton are presented. A description is given of new approaches to modeling based on the use of weightless rods of variable length with concentrated masses. The practical application to the tasks of numerical simulation of the movements of the musculoskeletal system of a person is described. Exoskeleton models with variable-length units based on absolutely hard sections and sections that change their telescopic type length have been developed. The book is intended for specialists in the field of theoretical mechanics, biomechanics, robotics and related fields. The book will be useful to teachers, as well as graduate students, undergraduates and senior students of higher educational institutions, whose research interests lie in the modeling of anthropomorphic biomechanical systems.

This book reviews work that covers everything from basic chemistry to advanced applications. Chitin and chitosan are used in a plethora of applications from wastewater treatment to prosthetics. After introducing the subject of polysaccharides as a whole, the authors turn to the preparation of chitin and chitosan and the characterization of the latter. The book provides information on chitin chemistry, extraction of chitin, chitosan preparation processes, and the applications of their derivatives in various fields. Among the applications that are included in detail are the adsorption of heavy metals for pollution prevention and clean-up, biosensors, cosmetics, various medical applications from anti-tumor activity to bone tissue engineering, agriculture and food production, and proton exchange membranes for fuel cells. Chitin and Chitosan features: * information on molecular structure, synthesis, properties, and latest research related to chitin and chitosan; * coverage of a wide range of topics from the properties of chitosan to its derivatives and applications; * in-depth information on biomedical applications of chitin and chitosan; and * information that can be applied to other biopolymer processing engineering areas. This book will be of interest to practitioners working in a wide variety of industries for which chitin and chitosan are useful materials, researchers in biosensors and heavy-metal adsorption, and to academic researchers investigating the properties, preparation, and uses of these materials.

Carbon and Graphene Quantum Dots for Biomedical Applications provides a single point of reference for understanding the biomedical potential of quantum dots. The book covers the synthesis and properties of various carbon and graphene quantum dots, with advanced discussion on the challenges faced during synthesis according to type, structure, size, functionalization and composition. Key biomedical applications are described, including bioimaging, biosensing, antimicrobial and drug delivery. The benefits and issues of utilizing carbon and graphene quantum dots in biomedical applications are addressed in detail, evaluating vital aspects such as cytotoxicity, inhibition concentration and point-of-care-specific challenges. This book offers an exciting and thorough overview of this emerging area for academics and researchers in the fields of materials science, biomedical engineering, nanotechnology, and pharmaceutical science, as well as for R&D groups in biosensing and drug development.

This book presents a comparison analysis of two cancer treatment therapies: carbon ion therapy and protontherapy. It is divided in 5 sections. The first ones gives the reader a brief history of Radiotherapy and types of radiation. In the second section, the techniques and equipments, including new ones in development such as Cyclinac , Laser and DWA, are described. The third section describes biophysical (such as stopping power and LET) and biological (such as RBE and OER) properties, the fundamental experiments and clinical area. The fourth section presents models and the fifth section compares both techniques, showing advantages and disadvantages of each, and their similarities.

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 infrared Generation of ultrashort pulses in terahertz Carrier envelope phase (CEP) Simple NLO processes with a few colors Multi-color involved NLO processes Multi-color ultrashort pulse generation NLO materials NLO processes in time-resolved spectroscopy Low dimension materials Conductors and superconductors Chemical reactions and material processing Photobiological reactions

* Covers topics such as fundamentals of sensors and their working principles * Details recent materials and technologies used for flexible and wearable sensors * Covers emerging applications

This book presents some of the latest achievements in nanotechnology and nanomaterials from leading researchers in Ukraine, Europe, and beyond. It features selected peer-reviewed contributions from participants in the 5th International Science and Practice Conference Nanotechnology and Nanomaterials (NANO2017) held in Chernivtsi, Ukraine on August 23-26, 2017. The International Conference was organized jointly by the Institute of Physics of the National Academy of Sciences of Ukraine, Ivan Franko National University of Lviv (Ukraine), University of Tartu (Estonia), University of Turin (Italy), and Pierre and Marie Curie University (France). Internationally recognized experts from a wide range of universities and research institutions share their knowledge and key results on topics ranging from energy storage to biomedical applications. This book's companion volume also addresses nanooptics, nanoplasmonics, and interface studies.

This is the first book in the series to focus on dynamic hyperpolarized nuclear magnetic resonance, a burgeoning topic in biophysics. The volume follows the format and style of the Handbook of Modern Biophysics series and expands on topics already discussed in previous volumes. It builds a theoretical and experimental framework for students and researchers who wish to investigate the biophysics and biomedical application of dynamic hyperpolarized NMR. All contributors are internationally recognized experts, lead the dynamic hyperpolarized NMR field, and have first-hand knowledge of the chapter material. The book covers the following topics: Hyperpolarization by dissolution Dynamic Nuclear Polarization Design considerations for implementing a hyperpolarizer Chemical Shift Imaging with Dynamic Hyperpolarized NMR Signal Sampling Strategies in Dynamic Hyperpolarized NMR Kinetic Modeling of Enzymatic Reactions in Analyzing Hyperpolarized NMR Data Using Hyperpolarized NMR to Understand Biochemistry from Cells to Humans Innovating Metabolic Biomarkers for Hyperpolarized NMR New Insights into Metabolic Regulation from Hyperpolarized 13C MRS/MRI Studies Novel Views on Heart Function from Dynamic Hyperpolarized NMR Insights on Lactate Metabolism in Skeletal Muscle based on 13C Dynamic Nuclear Polarization Studies About the Editors Dirk Mayer is Professor of Diagnostic Radiology and Nuclear Medicine at the University of Maryland and is the Director of Metabolic Imaging. He is a recognized expert on dynamic nuclear polarization (DNP) MRI-based imaging techniques and has optimized acquisition and reconstruction techniques, has constructed kinetic modeling for quantitative analysis, and has developing new probes. Thomas Jue is Professor of Biochemistry and Molecular Medicine at the University of California Davis. He is an internationally recognized expert in developing and applying magnetic resonance techniques to study animal as well as human physiology in vivo. He served as a Chair of the Biophysics Graduate Group Program at UC Davis, where he started to redesign a graduate curriculum that balances physical science/mathematics formalism and biomedical perspective in order to promote interest at the interface of physical science, engineering, mathematics, biology, and medicine. The Handbook of Modern Biophysics represents an aspect of that effort.

Iron Oxide Nanoparticles for Biomedical Applications: Synthesis, Functionalization and Application begins with several chapters covering the synthesis, stabilization, physico-chemical characterization and functionalization of iron oxide nanoparticles. The second part of the book outlines the various biomedical imaging applications that currently take advantage of the magnetic properties of iron oxide nanoparticles. Brief attention is given to potential iron oxide based therapies, while the final chapter covers nanocytotoxicity, which is a key concern wherever exposure to nanomaterials might occur. This comprehensive book is an essential reference for all those academics and professionals who require thorough knowledge of recent and future developments in the role of iron oxide nanoparticles in biomedicine.

Electric currents and electromagnetic fields have been applied to biological systems, particularly humans, with both therapeutic and pathological results. Applied Bioelectricity discusses biological responses to electric currents and electromagnetic fields, including medical applications and shock hazards. The book covers fundamental physical and engineering principles of responses to short-term electrical exposure and emphasizes human reactions, although animal responses to electricity are considered as well. The treatment covers reactions from the just-detectable to the clearly detrimental. An important new chapter discusses standards for human exposure to electromagnetic fields and electric current and demonstrates how these standards have been developed based on the principles treated in earlier chapters. J. Patrick Reilly is a member of the principal staff of the Johns Hopkins University Applied Physics Laboratory and is President of Metatec Associates.

The second edition of this successful book provides further and in-depth insight into theoretical models dealing with Internet addiction, as well as includes new therapeutical approaches. The editors also broach the emerging topic of smartphone addiction. This book combines a scholarly introduction with state-of-the-art research in the characterization of Internet addiction. It is intended for a broad audience including scientists, students and practitioners. The first part of the book contains an introduction to Internet addiction and their pathogenesis. The second part of the book is dedicated to an in-depth review of neuroscientific findings which cover studies using a variety of biological techniques including brain imaging and molecular genetics. The third part of the book focuses on therapeutic interventions for Internet addiction. The fourth part of the present book is an extension to the first edition and deals with a new emerging potential disorder related to Internet addiction - smartphone addiction. Moreover, in this second edition of the book new content has been added. Among others, the reader will find an overview of theoretical models dealing with Internet addiction, results from twin studies in the context of Internet addiction and additional insights into therapeutic approaches to Internet addiction.

Natural Fiber-Reinforced Biodegradable and Bioresorbable Polymer Composites focuses on key areas of fundamental research and applications of biocomposites. Several key elements that affect the usage of these composites in real-life applications are discussed. There will be a comprehensive review on the different kinds of biocomposites at the beginning of the book, then the different types of natural fibers, bio-polymers, and green nanoparticle biocomposites are discussed as well as their potential for future development and use in engineering biomedical and domestic products. Recently mankind has realized that unless the environment is protected, he himself will be threatened by the over consumption of natural resources as well as a substantial reduction in the amount of fresh air produced in the world. Conservation of forests and the optimal utilization of agricultural and other renewable resources like solar, wind, and tidal energy, have become important topics worldwide. With such concern, the use of renewable resources-such as plant and animal-based, fiber-reinforced polymeric composites-are now becoming an important design criterion for designing and manufacturing components for a broad range of different industrial products. Research on biodegradable polymeric composites can contribute, to some extent, to a much greener and safer environment. For example, in the biomedical and bioengineering fields, the use of natural fiber mixed with biodegradable and bioresorbable polymers can produce joint and bone fixtures to alleviate pain in patients.

Today's healthcare organizations must focus on a lot more than just the health of their clients. The infrastructure it takes to support clinical-care delivery continues to expand, with information technology being one of the most significant contributors to that growth. As companies have become more dependent on technology for their clinical, administrative, and financial functions, their IT departments and expenditures have had to scale quickly to keep up. However, as technology demands have increased, so have the options for reliable infrastructure for IT applications and data storage. The one that has taken center stage over the past few years is cloud computing. Healthcare researchers are moving their efforts to the cloud because they need adequate resources to process, store, exchange, and use large quantities of medical data. Cloud Computing in Medical Imaging covers the state-of-the-art techniques for cloud computing in medical imaging, healthcare technologies, and services. The book focuses on Machine-learning algorithms for health data security Fog computing in IoT-based health care Medical imaging and healthcare applications using fog IoT networks Diagnostic imaging and associated services Image steganography for medical informatics This book aims to help advance scientific research within the broad field of cloud computing in medical imaging, healthcare technologies, and services. It focuses on major trends and challenges in this area and presents work aimed to identify new techniques and their use in biomedical analysis.

This book surveys the distinctions that underlie the unbound potential and existential risks of life expansion and radical modifications posed by a transhuman world. Humanness is in flux as human bodies are being hacked and altered in their quest for super wellness, super intelligence and super longevity. Now is the time to discuss how best to think about dealing with bodies that have been hacked to exceed natural physical limits or more technically, species typical functioning. Enter the advent of transhumanism to take uncertainty by the horns. According to transhumanists, death is unnecessary and medical conventions undermine the possibility to radically evolve. To biohackers, there is no need to wait to explore the risks that conventional medicine dares not. This book is of interest to anyone interested in tapping into this growing movement of modifying the human body as it is right now.

This book introduces readers to the current trends in using deep learners and deep learner descriptors for medical applications. It reviews the recent literature and presents a variety of medical image and sound applications to illustrate the five major ways deep learners can be utilized: 1) by training a deep learner from scratch (chapters provide tips for handling imbalances and other problems with the medical data); 2) by implementing transfer learning from a pre-trained deep learner and extracting deep features for different CNN layers that can be fed into simpler classifiers, such as the support vector machine; 3) by fine-tuning one or more pre-trained deep learners on an unrelated dataset so that they are able to identify novel medical datasets; 4) by fusing different deep learner architectures; and 5) by combining the above methods to generate a variety of more elaborate ensembles. This book is a value resource for anyone involved in engineering deep learners for medical applications as well as to those interested in learning more about the current techniques in this exciting field. A number of chapters provide source code that can be used to investigate topics further or to kick-start new projects.

This comprehensive and extensively classroom-tested biophysics textbook is a complete introduction to the physical principles underlying biological processes and their applications to the life sciences and medicine. The foundations of natural processes are placed on a firm footing before showing how their consequences can be explored in a wide range of biosystems. The goal is to develop the readers' intuition, understanding, and facility for creative analysis that are frequently required to grapple with problems involving complex living organisms. Topics cover all scales, encompassing the application of statics, fluid dynamics, acoustics, electromagnetism, light, radiation physics, thermodynamics, statistical physics, quantum biophysics, and theories of information, ordering, and evolutionary optimization to biological processes and bio-relevant technological implementations. Sound modeling principles are emphasized throughout, placing all the concepts within a rigorous framework. With numerous worked examples and exercises to test and enhance the reader's understanding, this book can be used as a textbook for physics graduate students and as a supplementary text for a range of premedical, biomedical, and biophysics courses at the undergraduate and graduate levels. It will also be a useful reference for biologists, physicists, medical researchers, and medical device engineers who want to work from first principles.

Consistently rated as the best overall introduction to computer-based image processing, The Image Processing Handbook covers two-dimensional (2D) and three-dimensional (3D) imaging techniques, image printing and storage methods, image processing algorithms, image and feature measurement, quantitative image measurement analysis, and more. Incorporating image processing and analysis examples at all scales, from nano- to astro-, this Seventh Edition: Features a greater range of computationally intensive algorithms than previous versions Provides better organization, more quantitative results, and new material on recent developments Includes completely rewritten chapters on 3D imaging and a thoroughly revamped chapter on statistical analysis Contains more than 1700 references to theory, methods, and applications in a wide variety of disciplines Presents 500+ entirely new figures and images, with more than two-thirds appearing in color The Image Processing Handbook, Seventh Edition delivers an accessible and up-to-date treatment of image processing, offering broad coverage and comparison of algorithms, approaches, and outcomes.

This book covers various aspects of cancer chemoprevention, including an overview of chemoprevention in the process of tumorigenesis; the roles of various phytochemicals, functional foods, and dietary interventions in disease prevention; and techniques such as cancer stem cell targeting, nano-formulations, and so forth. The nutrigenomic and epigenetic effects of natural products at the molecular and genetic levels are also covered alongside their potential for additive and synergistic effect, as well as overcoming drug resistance. The key selling features of the book are as follows: Discusses holistic and comprehensive areas of chemoprevention Includes diverse techniques, such as cancer stem cell targeting, nano-formulations, and nanotechnology-based drug delivery systems Introduces various mechanisms involved in prevention of the diseases, including targeting cancer stem cells Reviews various aspects which can reduce the toxicity and cost of treatment of diseases by alternative medicine Explores various sources, mechanisms, and ways to develop cancer chemopreventive agents with minimal toxicity compared to traditional cancer therapy drugs This book is focused on researchers and graduate students in drug delivery and formulation, nanobiotechnology, cancer chemoprevention, prevention, and therapeutics.

Focuses on the Internet of Healthcare Things and innovative solutions developed for use in the application of healthcare services Discusses artificial intelligence applications, experiments, core concepts, and cutting-edge themes Demonstrates new approaches to analysing medical data and identifying ailments using AI to improve overall quality of life Introduces fundamental concepts for designing the Internet of Healthcare Things solutions Includes pertinent case studies and applications

- First book to focus on deep learning-based approaches in the field of cancer diagnostics. - Covers the state of the art across a wide-range of topics. - Topics include preprocessing data, prediction of cancer susceptibility and reoccurence, detection of different cancers, complexity and challenges.

This book provides a thorough overview of recent methods using higher level information (object or scene level) for advanced tasks such as image understanding along with their applications to medical images. Advanced methods for fuzzy image processing and understanding are presented, including fuzzy spatial objects, geometry and topology, mathematical morphology, machine learning, verbal descriptions of image content, fusion, spatial relations, and structural representations. For each methodological aspect covered, illustrations from the medical imaging domain are provided. This is an ideal book for graduate students and researchers in the field of medical image processing.