Böcker utgivna av Elsevier Science & Technology

Addresses statistical challenges in epidemiological, biomedical, and pharmaceutical research. This book presents methods for assessing Biomarkers, analysis of competing risks. It offers clinical trials including sequential and group sequential, crossover designs, cluster randomized, and adaptive designs.

Autonomic dysfunction is one of the most prevalent non-motor symptoms that occurs in Parkinson''s disease. Autonomic Dysfunction in Parkinson''s Disease provides up to date information on this important topic, which affects quality of life of these patients. This include a large number of domains: orthostatic hypotension, excessive sweating, dry eyes, constipation, weight loss, increased sensitivity to heat and cold, sexual dysfunction. Provides comprehensive reviews on different topics of autonomic dysfunction in Parkinson''s disease Each chapter covers a specific autonomic symptom: classification, assessment, treatment Presents the newest information on each autonomic symptom in Parkinson''s disease

The subject of information geometry blends several areas of statistics, computer science, physics, and mathematics. The subject evolved from the groundbreaking article published by legendary statistician C.R. Rao in 1945. His works led to the creation of Cramer-Rao bounds, Rao distance, and Rao-Blackawellization. Fisher-Rao metrics and Rao distances play a very important role in geodesics, econometric analysis to modern-day business analytics. The chapters of the book are written by experts in the field who have been promoting the field of information geometry and its applications. Written by experts for users of information geometry Basics to advanced readers are equally taken care Origins and Clarity on Foundations

Understanding Cancer: From Basics to Therapeutics presents both basic concepts and research prospects in the field of cancer biology. This book summarizes the fundamental aspects of cancer and presents a detailed description of molecular aspects as well as treatment and therapeutics for patients. The book is divided into three parts: the first part deals with the basics of cancer, including etiology and medical diagnosis; the second part explores the molecular mechanisms associated with cancer, focusing on cell cycle and apoptosis, cell metabolism, gene regulation, epigenetics, and stem cells; and the third part is dedicated to therapeutics, discussing chemo and radiotherapies, gene, hormone, herbal, and immunotherapies. It is a valuable resource for cancer researchers, oncologists, graduate students, and biomedical researchers who need to understand the fundamental topics related to cancer to apply to their research work or clinical setting.

Great American Diseases: Their Effects on the Course of North American History presents medical history as it pertains to the major infectious diseases of North America. The book is designed to provide an interesting and engaging introduction to microbiology, immunology and epidemiology. With the advent of COVID-19, this book will serve as a reference on the history of previous epidemics. The book presents pandemics in an easy-to-read volume and provides concise chapters on the history of a disease, progression of understanding on the pathogen (agent of the disease), and their social ramifications through the history of North America.

Genomic Medicine Skills and Competencies discusses core and practical aspects of genetic and genomic education and training for medical field. Many aspects of genomic applications in science, biotechnology, clinical medicine and healthcare require core and specialist knowledge, skills development and competencies for carrying out diverse tasks. Several knowledge-based courses and opportunities for skills and competencies development and assessment are now available and the main required subjects are discussed in this volume.  The book focuses on all major aspects of genetic and genomic education training that are currently offered and evaluated and is a valuable resource for researchers, clinicians, physicians, nurses, genetic counselors, bioinformatics technicians, and other professionals who are interested in learning more about such promising field.

Paclitaxel: Sources, Chemistry, Anticancer Actions, and Current Biotechnology provides a comprehensive survey of Paclitaxel and its derivatives chemistry, biosynthesis and anticancer activities. In addition, biotechnological methods, including cell cultures, the use of bioreactors and metabolic engineering strategies to improve Paclitaxel production are also discussed. The book discusses topics such as mechanisms of action against cancer, novel forms of Paclitaxel for an effective cancer treatment, strategies for enhancing its bioavailability, and the application of nanocarriers for its delivery and chemotherapy of cancer. This is a valuable resource for cancer researchers, biotechnologists and members of biomedical field who are interested in the promising anticancer qualities of this antineoplastic drug and how to enhance them for better treatments.

Features: Includes updates on all chapters. Covers sleep hormones, growth factors, intestinal hormones, calcium-sensing receptor of parathyroid, and others. Provides essential basics for advanced undergraduates, graduate students and researchers in the biological sciences, as well as clinical aspects and applications for clinicians. Presented in separate hormone systems, covering the subcellular mode of action of selected hormones and a detailed understanding of their human anatomy and physiology

Actuarial Principles: Lifetables and Mortality Models explores the core of actuarial science: the study of mortality and other risks and applications. Including the CT4 and CT5 UK courses, but applicable to a global audience, this work lightly covers the mathematical and theoretical background of the subject to focus on real life practice. It offers a brief history of the field, why actuarial notation has become universal, and how theory can be applied to many situations. Uniquely covering both life contingency risks and survival models, the text provides numerous exercises (and their solutions), along with complete self-contained real-world assignments.

Wireless Communication Networks Supported by Autonomous UAVs and Mobile Ground Robots covers wireless sensor networks and cellular networks. For wireless sensor networks, the book presents approaches using mobile robots or UAVs to collect sensory data from sensor nodes. For cellular networks, it discusses the approaches to using UAVs to work as aerial base stations to serve cellular users. In addition, the book  covers the challenges involved in these two networks, existing approaches (e.g., how to use the public transportation vehicles to play the role of mobile sinks to collect sensory data from sensor nodes), and potential methods to address open questions.

Chronic Obstructive Pulmonary Disease (COPD) Diagnosis using Electromyography (EMG) presents a new and innovative method of COPD diagnosis using EMG to analyze sternomastoid muscle activity using features extraction and classification. The book describes the methodology of EMG analysis, the slope-based onset detection algorithm and SEMG analysis in time, frequency and time frequency domain analyses. It also explores the identification of frequencies for single frequency Continuous Wavelet Transform (CWT) analysis and feature extraction and selection for successful classification COPD into its severity grades. The book provides a compilation of all techniques used in the literatures and emphasizes newly proposed techniques for the early detection of COPD. Fully comprehensive, the book includes discussion of limitations of existing methods for COPD diagnosis and introduces new efficient methods for COPD identification, classification and early diagnosis.

Genesis, Pathophysiology Management of Venous Diseases is the must-have resource on venous disease. The book bridges the gap between basic science and clinical medicine, covering the history of venous surgery, the lymphatic system and anatomy, pathophysiology of various venous disease, etiology, clinical manifestations and diagnosis, management, and medical and surgical treatment options. It also places attention on genetic studies and pharmacological analysis of various anticoagulants which are widely used in treating venous diseases and deep vein thrombosis and highlights the importance of microscopic venous valves and their pathology in both normal and disease condition. The breadth of topics covered makes this reference suitable for a range of professionals in phlebolymphology and cardiology, including medical students, practicing clinicians, surgeons, researchers, radiologists, bioengineers, and more.

Green Energy: A Sustainable Future looks at life cycle assessment theory, practice, and methodologies applied in renewable energy power plants. The state-of-the-art life cycle assessment methodologies applied in power generation units are discussed following LCA analysis and key findings from energy production processes. Providing fundamental knowledge of how to measure sustainability metrics using life cycle assessment in renewable power plants, this title outlines state-of-the-art research about LCA methodologies related to low-carbon energy systems, their outcome, and how to relate the sustainable power concept with a circular economy. With theoretical concepts of LCA applied in low-carbon power generation systems, outlining environmental impacts based on comprehensive examples and case studies in solar PV, solar thermal, hydropower plants and micro-grids, this book is of great interest to engineers, policy makers, researchers and academics in the area of electric power engineering.

Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks.

Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data discusses the insight of data processing applications in various domains through soft computing techniques and enormous advancements in the field. The book focuses on the cross-disciplinary mechanisms and ground-breaking research ideas on novel techniques and data processing approaches in handling structured and unstructured healthcare data. It also gives insight into various information-processing models and many memories associated with it while processing the information for forecasting future trends and decision making. This book is an excellent resource for researchers and professionals who work in the Healthcare Industry, Data Science, and Machine learning.

Intelligent Sensing and Communications for Internet of Everything introduces three application scenarios of enhanced mobile broadband (eMBB), large-scale machine connection (mMTC) and ultra reliable low latency communication (URLLC). A new communication model, namely backscatter communication (BackCom), intelligent reflector surface (IRS) and unmanned aerial vehicle (UAV) technology in Internet of Everything (IoE), is described in detail. Also focusing on millimeter wave, the book discusses the potential application of terahertz 6G network spectrum in the Internet of Things (IoT). Finally, the applications of IoE network in big data, artificial intelligence (AI) technology and fog/edge computing technology are proposed.

Biochar in Agriculture for Achieving Sustainable Development Goals introduces the state-of-the-art of biochar for agricultural applications to actualize sustainable development goals and highlight current challenges and the way forward. The book focuses on scientific knowledge and biochar technologies for agricultural soil improvement and plant growth. Sections provide state-of-the-art knowledge on biochar production and characterization, focus on biochar for agricultural application and soil improvement, discuss the roles of biochar for environmental improvement in farmland to relieve water and waste management as well as climate change, highlight biochar used for boosting bioeconomy and clean energy, and discuss future prospects. This book will be important to agricultural engineers and researchers as well as those seeking to improve overall soil and environmental conditions through the use of biochar.

Machine Learning for Biometrics: Concepts, Algorithms and Applications highlights the fundamental concepts of machine learning, processing and analyzing data from biometrics and provides a review of intelligent and cognitive learning tools which can be adopted in this direction. Each chapter of the volume is supported by real-life case studies, illustrative examples and video demonstrations. The book elucidates various biometric concepts, algorithms and applications with machine intelligence solutions, providing guidance on best practices for new technologies such as e-health solutions, Data science, Cloud computing, and Internet of Things, etc. In each section, different machine learning concepts and algorithms are used, such as different object detection techniques, image enhancement techniques, both global and local feature extraction techniques, and classifiers those are commonly used data science techniques. These biometrics techniques can be used as tools in Cloud computing, Mobile computing, IOT based applications, and e-health care systems for secure login, device access control, personal recognition and surveillance.

Data Prefetching Techniques in Computer Systems, Volume 125 provides an in-depth review of the latest progress on data prefetching research. Topics covered in this volume include temporal prefetchers, spatial prefetchers, non-spatial-temporal prefetchers, and evaluation of prefetchers, with insights on possible future research direction. Specific chapters in this release include Introduction to Data Prefetching, Spatial Prefetching Techniques, Temporal Prefetching Techniques, Domino prefetching scheme, Bingo prefetching method, and The Champion prefetcher.