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Books in Life sciences

Elsevier's Life Sciences collection helps researchers get comprehensive coverage and up-to-date information on the study of living organisms, their processes, and interrelationships, spanning disciplines like biology, genetics, and biochemistry, and addressing emerging trends such as genomics, biotechnology, and sustainability, essential for advancing knowledge and driving innovation in the field.

BooksJournals

    • Brain Seizure Detection and Classification Using EEG Signals

      • 1st Edition
      • September 9, 2021
      • Varsha K. Harpale + 1 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 1 1 2 0 7
      • eBook
        9 7 8 0 3 2 3 9 1 1 2 1 4
      Brain Seizure Detection and Classification Using Electroencephalograp... Signals presents EEG signal processing and analysis with high performance feature extraction. The book covers the feature selection method based on One-way ANOVA, along with high performance machine learning classifiers for the classification of EEG signals in normal and epileptic EEG signals. In addition, the authors also present new methods of feature extraction, including Singular Spectrum-Empirical Wavelet Transform (SSEWT) for improved classification of seizures in significant seizure-types, specifically epileptic and Non-Epileptic Seizures (NES). The performance of the system is compared with existing methods of feature extraction using Wavelet Transform (WT) and Empirical Wavelet Transform (EWT). The book's objective is to analyze the EEG signals to observe abnormalities of brain activities called epileptic seizure. Seizure is a neurological disorder in which too many neurons are excited at the same time and are triggered by brain injury or by chemical imbalance.

    • Storage Systems

      • 1st Edition
      • October 13, 2021
      • Alexander Thomasian
      • English
      • Paperback
        9 7 8 0 3 2 3 9 0 7 9 6 5
      • eBook
        9 7 8 0 3 2 3 9 0 8 0 9 2
      Storage Systems: Organization, Performance, Coding, Reliability and Their Data Processing was motivated by the 1988 Redundant Array of Inexpensive/Independ... Disks proposal to replace large form factor mainframe disks with an array of commodity disks. Disk loads are balanced by striping data into strips—with one strip per disk— and storage reliability is enhanced via replication or erasure coding, which at best dedicates k strips per stripe to tolerate k disk failures. Flash memories have resulted in a paradigm shift with Solid State Drives (SSDs) replacing Hard Disk Drives (HDDs) for high performance applications. RAID and Flash have resulted in the emergence of new storage companies, namely EMC, NetApp, SanDisk, and Purestorage, and a multibillion-dollar storage market. Key new conferences and publications are reviewed in this book.The goal of the book is to expose students, researchers, and IT professionals to the more important developments in storage systems, while covering the evolution of storage technologies, traditional and novel databases, and novel sources of data. We describe several prototypes: FAWN at CMU, RAMCloud at Stanford, and Lightstore at MIT; Oracle's Exadata, AWS' Aurora, Alibaba's PolarDB, Fungible Data Center; and author's paper designs for cloud storage, namely heterogeneous disk arrays and hierarchical RAID.

    • Practical Biostatistics

      • 2nd Edition
      • June 4, 2021
      • Mendel Suchmacher + 1 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 0 1 0 2 4
      • eBook
        9 7 8 0 3 2 3 8 9 8 9 7 3
      Practical Biostatistics: A Step-by-Step Approach for Evidence-Based Medicine, Second Edition presents a complete resource of biostatistical knowledge meant for health sciences students, researchers and health care professionals. The book's content covers the investigator’s hypothesis, collective health, observational studies, the biostatistics of intervention studies, clinical trials and additional concepts. Chapters are written in a didactic way, making them easier to comprehend by readers with little or no background on statistics. Evidence-based medicine aims to apply the best available evidence gained from the scientific method to medical decision-making using statistical analyses of scientific methods and outcomes to drive further experimentation and diagnosis. With a detailed outline of implementation steps complemented by a review of important topics, this book can be used as a quick reference or hands-on guide on how to effectively incorporate biostatistics in clinical trials and research projects.

    • Molecular Docking for Computer-Aided Drug Design

      • 1st Edition
      • February 17, 2021
      • Mohane S. Coumar
      • English
      • Paperback
        9 7 8 0 1 2 8 2 2 3 1 2 3
      • eBook
        9 7 8 0 1 2 8 2 2 3 1 3 0
      Molecular Docking for Computer-Aided Drug Design: Fundamentals, Techniques, Resources and Applications offers in-depth coverage on the use of molecular docking for drug design. The book is divided into three main sections that cover basic techniques, tools, web servers and applications. It is an essential reference for students and researchers involved in drug design and discovery.

    • Lanzkowsky's Manual of Pediatric Hematology and Oncology

      • 7th Edition
      • June 1, 2021
      • Jonathan D. Fish + 2 more
      • English
      • Hardback
        9 7 8 0 1 2 8 2 1 6 7 1 2
      • eBook
        9 7 8 0 3 2 3 9 9 7 6 0 7
      • eBook
        9 7 8 0 3 2 3 8 5 3 6 1 3
      Lanzkowsky’s Manual of Pediatric Hematology and Oncology, Seventh Edition remains the go-to clinical manual for the treatment and management of childhood cancers and blood disorders. It is a comprehensive book on patient management, replete with algorithms and flow diagrams, and includes a new section on vascular anomalies. Reflecting the considerable advances in the treatment and management of hematologic and oncologic diseases in children, the seventh edition of this successful clinical manual is entirely updated to incorporate all current treatment protocols, new drugs, and management approaches. Its concise and easy-to-read format, again, enables readers to make accurate diagnoses and treatment decisions without having to reference larger medical textbooks.

    • Biosignal Processing and Classification Using Computational Learning and Intelligence

      • 1st Edition
      • September 18, 2021
      • Alejandro A. Torres-García + 3 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 0 1 2 5 1
      • eBook
        9 7 8 0 1 2 8 2 0 4 2 8 3
      Biosignal Processing and Classification Using Computational Learning and Intelligence: Principles, Algorithms and Applications posits an approach for biosignal processing and classification using computational learning and intelligence, highlighting that the term biosignal refers to all kinds of signals that can be continuously measured and monitored in living beings. The book is composed of five relevant parts. Part One is an introduction to biosignals and Part Two describes the relevant techniques for biosignal processing, feature extraction and feature selection/dimensiona... reduction. Part Three presents the fundamentals of computational learning (machine learning). Then, the main techniques of computational intelligence are described in Part Four. The authors focus primarily on the explanation of the most used methods in the last part of this book, which is the most extensive portion of the book. This part consists of a recapitulation of the newest applications and reviews in which these techniques have been successfully applied to the biosignals’ domain, including EEG-based Brain-Computer Interfaces (BCI) focused on P300 and Imagined Speech, emotion recognition from voice and video, leukemia recognition, infant cry recognition, EEGbased ADHD identification among others.

    • The Evolutionary Biology of Extinct and Extant Organisms

      • 1st Edition
      • March 23, 2021
      • Subir Ranjan Kundu
      • English
      • Paperback
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      • eBook
        9 7 8 0 1 2 8 2 3 2 8 3 5
      The Evolutionary Biology of Extinct and Extant Organisms offers a thorough and detailed narration of the journey of biological evolution and its major transitional links to the biological world, which began with paleontological exploration of extinct organisms and now carries on with reviews of phylogenomic footprint reviews of extant, living fossils. This book moves through the defining evolutionary stepping stones starting with the evolutionary changes in prokaryotic, aquatic organisms over 4 billion years ago to the emergence of the modern human species in Earth’s Anthropocene. The book begins with an overview of the processes of evolutionary fitness, the epicenter of the principles of evolutionary biology. Whether through natural or experimental occurrence, evolutionary fitness has been found to be the cardinal instance of evolutionary links in an organism between its ancestral and contemporary states. The book then goes on to detail evolutionary trails and lineages of groups of organisms including mammalians, reptilians, and various fish. The final section of the book provides a look back at the evolutionary journey of "nonliving" or extinct organisms, versus the modern-day transition to "living" or extant organisms. The Evolutionary Biology of Extinct and Extant Organisms is the ideal resource for any researcher or advanced student in evolutionary studies, ranging from evolutionary biology to general life sciences.

    • State of the Art in Neural Networks and Their Applications

      • 1st Edition
      • July 21, 2021
      • Ayman S. El-Baz + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 9 7 4 0 0
      • eBook
        9 7 8 0 1 2 8 2 1 8 4 9 5
      State of the Art in Neural Networks and Their Applications presents the latest advances in artificial neural networks and their applications across a wide range of clinical diagnoses. Advances in the role of machine learning, artificial intelligence, deep learning, cognitive image processing and suitable data analytics useful for clinical diagnosis and research applications are covered, including relevant case studies. The application of Neural Network, Artificial Intelligence, and Machine Learning methods in biomedical image analysis have resulted in the development of computer-aided diagnostic (CAD) systems that aim towards the automatic early detection of several severe diseases. State of the Art in Neural Networks and Their Applications is presented in two volumes. Volume 1 covers the state-of-the-art deep learning approaches for the detection of renal, retinal, breast, skin, and dental abnormalities and more.

    • Web Semantics

      • 1st Edition
      • March 27, 2021
      • Sarika Jain + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 2 4 6 8 7
      • eBook
        9 7 8 0 1 2 8 2 2 4 8 5 4
      Web Semantics strengthen the description of web resources to exploit them better and make them more meaningful for both humans and machines, thereby contributing to the development of a knowledgeintensive data web. The world is experiencing the movement of concept from data to knowledge and the movement of web from document model to data model. The underlying idea is making the data machine understandable and processable. In the light of these trends, conciliation of Semantic and the Web is of paramount importance for further progress in the area. Web Semantics: Cutting Edge and Future Directions in Healthcare describes the three major components of the study of Semantic Web, namely Representation, Reasoning, and Security with a special focus on the healthcare domain. This book summarizes the trends and current research advances in web semantics, emphasizing the existing tools and techniques, methodologies, and research solutions. It provides easily comprehensible information on Web Semantics including semantics for data and semantics for services.

    • Wearable Telemedicine Technology for the Healthcare Industry

      • 1st Edition
      • November 16, 2021
      • Deepak Gupta + 3 more
      • English
      • Paperback
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      • eBook
        9 7 8 0 3 2 3 8 5 8 1 0 6
      Wearable Telemedicine Technology for the Healthcare Industry: Product Design and Development focuses on recent advances and benefits of wearable telemedicine techniques for remote health monitoring and prevention of chronic conditions, providing real time feedback and help with rehabilitation and biomedical applications. Readers will learn about various techniques used by software engineers, computer scientists and biomedical engineers to apply intelligent systems, artificial intelligence, machine learning, virtual reality and augmented reality to gather, transmit, analyze and deliver real-time clinical and biological data to clinicians, patients and researchers. Wearable telemedicine technology is currently establishing its place with large-scale impact in many healthcare sectors because information about patient health conditions can be gathered anytime and anywhere outside of traditional clinical settings, hence saving time, money and even lives.

Related subjects

Biochemistry biophysics

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