Books published by Elsevier Science

**Selected for Doody’s Core Titles® 2024 in Radiologic Technology**A sure grasp of cross-sectional anatomy is essential for accurate radiologic interpretation, and Sectional Anatomy by MRI and CT, 5th Edition, provides exactly the information needed in a highly illustrated, quick-reference format. New coverage of the cervical spine, brain, and thumb, as well as new on/off labels in the eBook version make this title an essential diagnostic tool for both residents and practicing radiologists.Features color-coded labels for nerves, vessels, muscles, bone tendons, and ligaments that facilitate accurate identification of key anatomic structures.Provides new on/off labels in the accompanying eBook, as well as scroll and zoom capabilities on photos for convenient access during interpretation sessions and real-time resident education.Presents carefully labeled MRIs for all body parts, as well as schematic diagrams and concise statements, to clarify correlations between bones and tissues.Includes CT scans for selected body parts to enhance anatomic visualization.Features 1165 state-of-the-art images that can be viewed in three standard planes: axial, coronal, and sagittal.An eBook version is included with purchase. The eBook allows you to access all of the text, figures, and references, with the ability to search, customize your content, make notes and highlights, and have content read aloud. Any additional digital ancillary content may publish up to 6 weeks following the publication date.

Better patient management starts with better documentation! Documentation for Rehabilitation, 4th Edition demonstrates how to accurately document treatment progress and patient outcomes using a framework for clinical reasoning based on the International Classification for Functioning, Disability, and Health (ICF) model adopted by the American Physical Therapy Association (APTA). The documentation guidelines in this practical resource are easily adaptable to different practice settings and patient populations in physical therapy and physical therapy assisting. Realistic examples and practice exercises reinforce the understanding and application of concepts, improving skills in both documentation and clinical reasoning. Workbook/textbook format with examples and exercises in each chapter helps reinforce understanding of concepts. Coverage of practice settings includes documentation examples in acute care, rehabilitation, outpatient, home care, nursing homes, pediatrics, school, and community settings. Case examples for a multitude of documentation types include initial evaluations, progress notes, daily notes, letters to insurance companies, Medicare documentation, and documentation in specialized settings. NEW! Movement Analysis - Linking Activities and Impairments content addresses issues related to diagnosis. NEW! An eBook version, included with print purchase, provides access to all the text, figures and references, with the ability to search, customize content, make notes and highlights, and have content read aloud. Updated case examples provide clinical context for patient documentation. Revised content, including updated terminology from the latest updates to the Guide to Physical Therapist Practice, provides the most current information needed to be an effective practitioner. Updated references ensure content is current and applicable for today's practice.

Pragmatic Internet of Everything (IOE) has emerged as a powerful paradigm for representing and solving complex problems. This reference demonstrates how to coordinate behaviour among a collection of semi-autonomous problem-solving agents: how they can coordinate their knowledge, goals and plans to act together, to solve joint problems, or to make individually or globally rational decisions in the face of uncertainty and multiple, conflicting perspectives. The book presents a collection of articles surveying several major recent developments in Pragmatic Internet of Everything (IOE). The book focuses on issues and challenges that arise in building IOE systems for smart cities in real-world settings. It also presents solutions to the issues faced by system architects. The synthesis of recent thinking, both theoretical and applied, on major IOE problems makes this essential reading for anyone involved in the design and planning of IOT systems for smart cities. Key Features -Summarizes available literature and practical ventures with references -Merges different perspectives on IoT technology thereby giving a 360-degree perspective to the reader -Gives some tips for implementation of practical ventures in this space -Includes an analysis of information gathered from citizens of smart cities

Iris and Periocular Recognition using Deep Learning systematically explains the fundamental and most advanced techniques for ocular imprint-based human identification, with many applications in sectors such as healthcare, online education, e-business, metaverse, and entertainment. This is the first-ever book devoted to iris recognition that details cutting-edge techniques using deep neural networks. This book systematically introduces such algorithmic details with attractive illustrations, examples, experimental comparisons, and security analysis. It answers many fundamental questions about the most effective iris and periocular recognition techniques.

Introductory Astrochemistry: From Inorganic to Life-Related Materials provides a detailed examination of the origins of planets, their satellites, and the conditions that led to life itself. Drawing on theories, experiments, observations, calculations, and analytical data from five distinct astrosciences, including astronomy, astrobiology, astrogeology, astrophysics, and astrochemistry, the book provides a comprehensive understanding of the formation and evolution of our Solar System and applies it to other solar systems. The book begins with fundamental knowledge in the astrosciences, building upon understanding systematically up to the formation of the early Solar System. This book is an interdisciplinary reference for researchers and advanced students in astrogeology, astrophysics, astrochemistry, astrobiology, astronomy, and other space sciences, helping to foster a deeper understanding of the interconnections between these disciplines.

Carbon Dioxide Sequestration in Cementitious Construction Materials, Second Edition, offers an updated and comprehensive overview of carbon dioxide storage-based cementitious construction materials, presenting a promising avenue for substantial eco-efficiency and economic advantages within the construction sector. The first part examines different methods and mechanisms for carbon dioxide sequestration in cementitious materials, including in steel slag, in magnesium-based binders and in autoclaved cement mixtures. Part two explores carbon capture in industrial waste and recycled materials, considering cost, energy, and aqueous carbonation kinetics. The final part is entirely new and investigates biological approaches to carbon dioxide sequestration in construction materials, involving bacteria, bamboo biochar, wood bio-concretes, and bio-inspired materials

Handbook of the Economics of Conflict series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors.

Stimuli-Responsive Hydrogels for Ophthalmic Drug Delivery covers fundamental aspects in the preparation of polymeric in-situ, stimuli-responsive hydrogels, including properties, characterization, chemistry, and fabrication of these hydrogels. The book will help the reader select the most appropriate material and design for the desired application. The book goes on to review applications in ophthalmic drug delivery, covering in vitro and in vivo models, animal models, preclinical testing, patents, and more. This is a must-have reference for researchers and academics in the fields of materials science, biomaterials, pharmacology and polymer science, with an interest in clinical aspects of hydrogel design and application.

Young Voices Unheard: Children's Views from Scotland and Greece on Education is a compelling exploration of the perspectives of five to six-year-old children in Greece and Scotland regarding various aspects of their school experiences and their awareness of children's rights. This enlightening book aims to uncover which rights children prioritize and value most in their educational environment, shedding light on critical issues related to their schooling. The book divides its content into two main parts. The theoretical section offers a comprehensive overview of the United Nations Convention on the Rights of the Child and its implications for children's education, emphasizing the importance of respecting children's rights. The author also provides an overview of schooling models for young children. The empirical research section employs a meticulous methodology, involving focus group sessions with 56 children from both Greece and Scotland. Through these sessions, the book captures children's views on three distinct school models, each representing a different degree of adherence to children's rights. The data analysis reveals that young children prioritize rights such as the right to play, safety, consultation, and education. In essence, Young Voices Unheard offers a unique and valuable perspective on children's rights in education. By giving voice to young children and considering their views on educational practices and provisions, this book contributes to the ongoing dialogue about creating more inclusive and rights-respecting educational environments around the world. It serves as a valuable resource for educators, policymakers, and researchers seeking to better understand and enhance the educational experiences of young children.

Sustainable Fillers/Plasticizers for Polymer Composites: Promising Resources presents a comprehensive review of the application and use of biofillers and bioplasticizers for the fabrication of biopolymer-based composites. This book looks first at the historical aspects and then goes on to discuss current trends and recent developments. Emphasis is placed on the future potential of these resources to expand their usage in a broad range of different applications. This book will be a valuable reference resource for both academic and industrial researchers working in materials science, polymer chemistry and engineering, and the manufacturing of polymer composite materials.

Modern Inference Based on Health Related Markers: Biomarkers and Statistical Decision Making provides a compendium of biomarkers based methodologies for respective health related fields and health related marker-specific biostatistical techniques. The book introduces correct and efficient testing mechanisms, including procedures based on bootstrap and permutation methods with the aim of making these techniques assessable to practical researchers. In the biostatistical aspect, it describes how to correctly state testing problems, but it also includes novel results, which have appeared in current statistical publications. In addition, the book discusses also modern applied statistical developments that consider data-driven techniques, including empirical likelihood methods and other simple and efficient methods to derive statistical tools for use in health related studies.

Emerging Technologies for Digital Infrastructure Development is a comprehensive and insightful book that reviews the transformative impact of cutting-edge technologies on the digital landscape. It presents 16 topics, from e-commerce consumer behavior to AI applications in healthcare and cybersecurity, this book offers a detailed overview of the role of technology in shaping the modern world. With a focus on bridging the digital divide in education, the book presents innovative solutions to contemporary challenges. The editors also emphasize the importance of privacy and security in an interconnected world by discussing cybersecurity measures and threat detection strategies. The book serves as a valuable resource for technology professionals, researchers, and academics, offering a deep dive into the latest trends and applications in digital infrastructure. It also caters to business leaders, policy makers, and students seeking to understand the transformative potential of emerging technologies.

Plant-derived Hepatoprotective Drugs is a comprehensive guide that explores the world of medicinal plants and their hepatoprotective properties, offering both basic and applied insights for scholars and hepatology residents. Structured chapters provide a deep dive into the subject, while referencing relevant research and future perspectives. Readers will learn the science behind hepatotoxicity and the role of plants in safeguarding liver health. The book also helps researchers to explore bioactive compounds extracted from plants, along with herbal formulations that contribute to hepatoprotection, and conveys an understanding of the effects of edible plants and spices on liver wellness. A chapter focusing on isolation and characterization of phytochemicals bridges theory and application for discovering and developing hepatoprotective biopharmaceuticals. Key Features: -Gives a thorough understanding of hepatotoxicity and related bioactive compounds.-Comprehensive references to enhance understanding.-Well-structured chapters providing organized knowledge.-Basic and applied information for diverse readers.>This is an ideal reference for pharmacology scholars and residents in hepatology, as well as readers interested in nature's potential in promoting liver health.

In this issue of Foot and Ankle Clinics, guest editor Dr. Mark Easley brings his considerable expertise to the topic of Updates on Total Ankle Replacement. Top experts in the field cover total ankle arthroplasty outcomes assessed through gait analysis; total ankle arthroplasty in younger patients; outcomes of lateral transfibular approach for total ankle replacement; outcomes of staged versus simultaneous total ankle replacement; outcomes of total ankle arthroplasty after reoperation; and more.Contains 15 relevant, practice-oriented topics including interpreting outcomes measures in total ankle research; results of total ankle arthroplasty versus ankle arthrodesis; diagnosing and managing infection in total ankle replacement; complications in total ankle replacement; outcomes of revision total ankle replacement; and more.Provides in-depth clinical reviews on total ankle replacement, offering actionable insights for clinical practice.Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.

From Crops and Wastes to Bioenergy: Current Status and Challenges is a comprehensive volume on all aspects of biomass utilization for bioenergy, from the fundamentals to the latest commercial and regulatory issues. The book examines all aspects of biomass utilization, from technologies and processes to products. Sections examine the role of biomass in the energy transition, land availability for bioenergy projects, biomass logistics and supply chain, and assesses the lifecycle of bioenergy systems. Chapters are dedicated to each energy conversion route, including thermochemical, biochemical, and chemical, biofuels synthesis, hydrogen from biomass, biorefineries, electricity generation, and waste-to energy.Policy and regulatory issues are also considered. Each chapter reviews the state-of-the-art, discusses disruptive technological approaches, and concludes with specific recommendations on how to achieve commercial competitiveness. Case studies provide examples of real-world applications in each chapter.

Decision Making Models: A Perspective of Fuzzy Logic and Machine Learning presents the latest developments in the field of uncertain mathematics and decision science. The book aims to deliver a systematic exposure to soft computing techniques in fuzzy mathematics as well as artificial intelligence in the context of real-life problems and is designed to address recent techniques to solving uncertain problems encountered specifically in decision sciences. Researchers, professors, software engineers, and graduate students working in the fields of applied mathematics, software engineering, and artificial intelligence will find this book useful to acquire a solid foundation in fuzzy logic and fuzzy systems.Other areas of note include optimization problems and artificial intelligence practices, as well as how to analyze IoT solutions with applications and develop decision-making mechanisms realized under uncertainty.

Bioremediation of Emerging Contaminants from Soils: Soil Health Conservation for Improved Ecology and Food Security deals with current challenges of sustainable soil health using eco-friendly approaches. This book provides ways of reducing the chemical burden on the soil by maintaining balance in terms of society, environment, and economy, which are considered basic pillars of sustainability. Designed to highlight soil health best practices for both environmental and agricultural sustainability, these approaches are also considered important for improving global food security by ensuring safe growing conditions for crops for food and feed. Presented in two parts, this book first highlights emerging contaminants and their sources. The second part explores a variety of steps and tools for addressing contaminated soils, including bio- and phytoremediation options. Case studies in each part provide real-world insights for practical application.

Advances of Energy from Waste: Transformation Methods, Applications and Limitations Under Sustainability provides advanced, systematic information on the environmental transformation of waste and pollutants of various origins into useful products, contributing to the development of the local economy and increasing the sustainability of the energy sector. In addition, remarkable competences in design, performance, efficiency, and implementation of diverse systems utilized for waste energy recovery are evaluated. The book also includes recent advances in biomass-derived green catalysts for various catalytic applications, along with the challenges of controlled synthesis and the impact of morphological, physical, and chemical properties on their adsorption or desorption capability.

Practical Aviation Security: Predicting and Preventing Future Threats, Third Edition is a complete guide to the aviation security system, from crucial historical events to the policies, policymakers, and major terrorist and criminal acts that have shaped the procedures in use today, as well as the cutting edge technologies that are shaping the future. This text equips readers working in airport security or other aviation management roles with the knowledge to implement effective security programs, meet international guidelines, and responsibly protect facilities or organizations of any size. Using case studies and practical security measures now in use at airports worldwide, readers learn the effective methods and the fundamental principles involved in designing and implementing a security system. The aviation security system is comprehensive and requires continual focus and attention to stay a step ahead of the next attack. Practical Aviation Security, Third Edition, helps prepare practitioners to enter the industry and helps seasoned professionals prepare for new threats and prevent new tragedies.Covers commercial airport security, general aviation and cargo operations, threats, threat detection and response systems, as well as international security issuesLays out the security fundamentals that can ensure the future of global travel and commerceApplies real-world aviation experience to the task of anticipating and deflecting threatsIncludes updated coverage of security related to spaceport and unmanned aerial systems, focusing on IACO (International Civil Aviation Organization) security regulations and guidanceFeatures additional and updated case studies and much more

Nanomaterials in Biomass Conversion: Advances and Applications for Bioenergy, Biofuels and Biobased Products critically reviews basic principles and advances in nanotechnology for the production of biofuels and bioenergy. Sections explain the fundamentals of nanomaterials, their properties, characterization, and basic processes for synthesis while also reviewing various methods and technologies for the conversion of biomass to bioenergy, biofuels, and value-added products using nanomaterials. This includes homogeneous and heterogeneous nano-catalytic systems, nano-photocatalytic conversion, nanomaterial-assisted anaerobic digestion, nanoparticles-immobilized enzymes conversion, the production of biogas, volatile fatty acids, value-added products, and in carbon capture and conversion to sustainable energy products, and much more.Final sections address technoeconomics and financial viability in the context of the circular economy, risk related to toxicology, stability, and environmental impacts, and consider the various challenges and future opportunities of biomass conversion through nanomaterials.

High-Volume Mineral Admixtures in Cementitious Binders: Towards Carbon-Neutral Construction delivers an overview of the broad applications of high-volume supplementary cementitious materials (SCMs) in cementitious binders, addressing the most promising ways to use them to reduce carbon emissions in the construction and building industry. This book focuses on the applications and scientific challenges of high-volume SCMs blends, elaborating on the possibilities as well as offering original perspectives on using different kinds of blended cements in the manufacturing process. Emphasis is placed on activity estimation and quality assessment, the properties of high-volume SCM-blends at both the fresh and hardened stages, self-hydraulic properties, and potential use as the sole binder, as well as associated environmental impacts and carbon footprint reduction.

In this issue of Medical Clinics of North America, guest editor Dr. Susan Tuddenham brings her considerable expertise to the topic of Sexually Transmitted Infections. STIs are on the rise in the United States, and concerns for developing drug resistance and new and emerging infections may complicate management. In this issue, top experts in the field provide updates on some of the most important issues in STI diagnosis and management, highlighting new information and practical approaches relevant to primary care practice.Contains 12 relevant, practice-oriented topics including taking a sexual history: best practices; herpes simplex virus: a practical guide to diagnosis, management, and patient counselling for the primary care clinician; update on monkeypox; sexual health and the transgender patient; and more.Provides in-depth clinical reviews on sexually transmitted infections, offering actionable insights for clinical practice.Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.

Numerical Machine Learning is a simple textbook on machine learning that bridges the gap between mathematics theory and practice. The book uses numerical examples with small datasets and simple Python codes to provide a complete walkthrough of the underlying mathematical steps of seven commonly used machine learning algorithms and techniques, including linear regression, regularization, logistic regression, decision trees, gradient boosting, Support Vector Machine, and K-means Clustering. Through a step-by-step exploration of concrete numerical examples, the students (primarily undergraduate and graduate students studying machine learning) can develop a well-rounded understanding of these algorithms, gain an in-depth knowledge of how the mathematics relates to the implementation and performance of the algorithms, and be better equipped to apply them to practical problems. Key features -Provides a concise introduction to numerical concepts in machine learning in simple terms -Explains the 7 basic mathematical techniques used in machine learning problems, with over 60 illustrations and tables -Focuses on numerical examples while using small datasets for easy learning -Includes simple Python codes -Includes bibliographic references for advanced reading The text is essential for college and university-level students who are required to understand the fundamentals of machine learning in their courses.

"Mass-Action Law Dynamics Theory and Algorithm for Translational and Precision Medicine Informatics? provides a comprehensive overview and update of the mass-action law-based unified dose-effect biodynamics, pharmacodynamics, bioinformatics, and the combination index theorem for synergy definition (MAL-BD/PD/BI/CI). Contents advocate the fundamental MAL-PD/BI/CI/BI principle for biomedical R&D, clinical trials protocol design computerized data analysis, illustrates the MAL-dynamics theory with sample analysis, and includes data entry and automated computer report print-outs. In 11 sections "Mass-Action Law Dynamics Theory and Algorithm for Translational and Precision Medicine Informatics? leads the reader from an introduction and overview, to trial protocols and MAL-PD/CI approach for biomedical R&D in vitro and in animals. It describes the current Landscape of International FDA Drug Evaluation, Clinical Pharmacology, and Clinical Trials Guidance. This is a valuable resource for biomedical researchers, healthcare professionals, and students seeking to harness the power of data informatics in precision medicine.

Ethics in Online AI-Based Systems: Risks and Opportunities in Current Technological Trends creates a space to explore the ethical relevance that new technologies under development may have. Stimulating reflection and considerations with respect to the design, deployment, and use of technology helps readers guide current and future technological advancements from an ethically informed position to ensure that such advancements contribute towards solving current global and social challenges that we, as a society, have today. This will not only be useful for researchers and professional engineers, but also for educators, policy makers, and ethicists. Recent technological advancements have deeply transformed society and the way people interact with each other. Instantaneous communication platforms have allowed connections with other people, forming global communities and creating unprecedented opportunities in many sectors, making access to online resources more ubiquitous by reducing limitations imposed by geographical distance and temporal constrains. These technological developments bear ethically relevant consequences with their deployment, and legislations often lag behind such advancements. Because the appearance and deployment of these technologies happen much faster than legislative procedures, the way these technologies affect social interactions have profound ethical effects before any legislative regulation can be built in order to prevent and mitigate those effects.

Advanced Mathematical Applications in Data Science comprehensively explores the crucial role mathematics plays in the field of data science. Each chapter is contributed by scientists, researchers, and academicians. The 13 chapters cover a range of mathematical concepts utilized in data science, enabling readers to understand the intricate connection between mathematics and data analysis. The book covers diverse topics, including, machine learning models, the Kalman filter, data modeling, artificial neural networks, clustering techniques, and more, showcasing the application of advanced mathematical tools for effective data processing and analysis. With a strong emphasis on real-world applications, the book offers a deeper understanding of the foundational principles behind data analysis and its numerous interdisciplinary applications. This reference is an invaluable resource for graduate students, researchers, academicians, and learners pursuing a research career in mathematical computing or completing advanced data science courses. Key Features: -Comprehensive coverage of advanced mathematical concepts and techniques in data science.-Contributions from established scientists, researchers, and academicians.-Real-world case studies and practical applications of mathematical methods.-Focus on diverse areas, such as image classification, carbon emission assessment, customer churn prediction, and healthcare data analysis.-In-depth exploration of data science's connection with mathematics, computer science, and artificial intelligence.-Scholarly references for each chapter.-Suitable for readers with high school-level mathematical knowledge, making it accessible to a broad audience in academia and industry.

This volume is a comprehensive guide to the industrial use of polymer composites. Edited contributions demonstrate the application of these materials for different industrial sectors. The book covers the benefits, future potential, and manufacturing techniques of different types of polymers. Contributors also address challenges in using nanopolymers in these industries. Readers will find valuable insights into the current demand and supply of polymer composites and future scope for research and development in this field of polymer science. The volume presents seven chapters, each exploring a different application of polymer composites. Chapter 1 discusses the use of polymer additives for improving classical concrete and the workability and durability of polymer composite concrete. Chapter 2 explores the use of polymer nanocomposites in packaging, including smart/intelligent packaging, modified atmosphere packaging, and vacuum packaging. Chapter 3 delves into the use of polymer composites in tissue engineering, including manufacturing techniques and various applications. Chapter 4 explores energy storage applications for polymer composites, while Chapter 5 discusses their use in microbial fuel cells. Chapter 6 explores the use of carbon nanotubes in polymer composite gas sensors. Finally, Chapter 7 discusses the use of polymer composites in automotive applications. This is an ideal reference for researchers, scientists, engineers, and professionals in the fields of materials science, polymer science, engineering, and nanotechnology. The content is also suitable for graduate and postgraduate students studying industrial manufacturing.

This book is a detailed reference guide on deep learning and its applications. It aims to provide a basic understanding of deep learning and its different architectures that are applied to process images, speech, and natural language. It explains basic concepts and many modern use cases through fifteen chapters contributed by computer science academics and researchers. By the end of the book, the reader will become familiar with different deep learning approaches and models, and understand how to implement various deep learning algorithms using multiple frameworks and libraries. This book is divided into three parts. The first part explains the basic operating understanding, history, evolution, and challenges associated with deep learning. The basic concepts of mathematics and the hardware requirements for deep learning implementation, and some of its popular frameworks for medical applications are also covered. The second part is dedicated to sentiment analysis using deep learning and machine learning techniques. This book section covers the experimentation and application of deep learning techniques and architectures in real-world applications. It details the salient approaches, issues, and challenges in building ethically aligned machines. An approach inspired by traditional Eastern thought and wisdom is also presented. The final part covers artificial intelligence approaches used to explain the machine learning models that enhance transparency for the benefit of users. A review and detailed description of the use of knowledge graphs in generating explanations for black-box recommender systems and a review of ethical system design and a model for sustainable education is included in this section. An additional chapter demonstrates how a semi-supervised machine learning technique can be used for cryptocurrency portfolio management. The book is a timely reference for academicians, professionals, researchers and students at engineering and medical institutions working on artificial intelligence applications.

Droplet and Digital Microfluidics: Ideation to Implementation is a detailed introduction to the dynamics of droplet and digital microfluidics, also featuring coverage of new methods and applications. The explosion of applications of microelectromechanical systems (MEMS) in recent years has driven demand for expertise and innovation in fluid flow in the microchannels they contain. In this book, detailed descriptions of methods for biological and chemical applications of microfluidics are provided, along with supporting foundational knowledge. In addition, the principles of droplet and digital microfluidics are explained, along with their different applications and governing physics. New additions to the technological knowledgebase that enable advances in droplet and digital microfluidics include machine learning and exciting future avenues for research.