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    • Multiple Biological Activities of Unconventional Seed Oils

      • 1st Edition
      • January 26, 2022
      • Abdalbasit Adam Mariod
      • English
      • Paperback
        9 7 8 0 1 2 8 2 4 1 3 5 6
      • eBook
        9 7 8 0 3 2 3 9 0 3 2 6 4
      Multiple Biological Activities of Unconventional Seed Oils brings detailed knowledge concerning the biological properties of oils (antioxidant, antimicrobial, antidiabetic, antitumor, anti-inflammatory, etc.), the content of individual substances with health-promoting properties, methods for biological properties assay, the influence of raw material quality and technological processes on the quality of oils, and possible raw materials and oil contaminants with adverse health effects. The book's chapters also highlight the unique properties of new oils, along with their biological activities. Less than a decade ago, the vegetable oils on grocery store shelves were derived from conventional oil seeds e.g., cotton, groundnut, sesame, corn sunflower and soybean. However, as consumers began to understand how fat intake affects overall health, researchers, plant growers and food manufacturers started to produce oils from unconventional sources. This book highlights what we've learned in the process.

    • Not Just Bad Kids

      • 1st Edition
      • January 25, 2022
      • Akeem Nassor Marsh + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 8 9 5 4 2
      • eBook
        9 7 8 0 1 2 8 1 8 9 5 1 1
      Not Just Bad Kids: The Adversity and Disruptive Behavior Link explores the theory that all behavior makes sense in context. If you understand a person’s frame of reference – their background, history and experience – you can imagine what might be driving their behavior. The book describes the social, cultural and environmental factors that shape the lives of many youths, including early childhood attachment which sets the foundation for how they interact with authority figures. The book also delves into an explanation of conduct disorder which is characterized by persistent, repetitive behaviors that violate the basic rights of other human beings and break rules. Studies have shown that conduct disorder affects 1-4% of adolescents in the United States and oppositional defiant disorder is estimated to develop in approximately 10.2% of children. The presence of DBD is also known to be more prevalent in boys than it is in girls. As there is a growing need to understand why children and adolescent exhibit signs of hostility, defiance and isolation, this book is an ideal resource for this timely topic.

    • High-Quality Transesophageal Echocardiography

      • 1st Edition
      • January 25, 2022
      • David T. Linker
      • English
      • Paperback
        9 7 8 0 1 2 8 2 2 9 3 2 3
      • eBook
        9 7 8 0 1 2 8 2 3 0 9 9 2
      High-Quality Transesophageal Echocardiography presents a step-by-step approach aimed to help readers understand how to perform a high-quality transesophageal echocardiogram. The book explains the steps, tips, tricks, and troubleshooting tactics for performing a transesophageal echocardiogram effectively and with highest diagnostic utility, while ensuring patient safety and comfort. High-Quality Transesophageal Echocardiography is suitable for a wide audience from early learners of the technique who want to accelerate their progress and boost their confidence to those already qualified in the procedure who want to pick up tips to increase the quality and effectiveness of their practice.

    • Classification Made Relevant

      • 1st Edition
      • January 25, 2022
      • Jules J. Berman
      • English
      • Paperback
        9 7 8 0 3 2 3 9 1 7 8 6 5
      • eBook
        9 7 8 0 3 2 3 9 7 2 5 8 1
      Classification Made Relevant: How Scientists Build and Use Classifications and Ontologies explains how classifications and ontologies are designed and used to analyze scientific information. The book presents the fundamentals of classification, leading up to a description of how computer scientists use object-oriented programming languages to model classifications and ontologies. Numerous examples are chosen from the Classification of Life, the Periodic Table of the Elements, and the symmetry relationships contained within the Classification Theorem of Finite Simple Groups. When these three classifications are tied together, they provide a relational hierarchy connecting all of the natural sciences. The book's chapters introduce and describe general concepts that can be understood by any intelligent reader. With each new concept, they follow practical examples selected from various scientific disciplines. In these cases, technical points and specialized vocabulary are linked to glossary items where the item is clarified and expanded.

    • Meeting the Challenges of Data Quality Management

      • 1st Edition
      • January 25, 2022
      • Laura Sebastian-Coleman
      • English
      • Paperback
        9 7 8 0 1 2 8 2 1 7 3 7 5
      • eBook
        9 7 8 0 1 2 8 2 1 7 5 6 6
      Meeting the Challenges of Data Quality Management outlines the foundational concepts of data quality management and its challenges. The book enables data management professionals to help their organizations get more value from data by addressing the five challenges of data quality management: the meaning challenge (recognizing how data represents reality), the process/quality challenge (creating high-quality data by design), the people challenge (building data literacy), the technical challenge (enabling organizational data to be accessed and used, as well as protected), and the accountability challenge (ensuring organizational leadership treats data as an asset). Organizations that fail to meet these challenges get less value from their data than organizations that address them directly. The book describes core data quality management capabilities and introduces new and experienced DQ practitioners to practical techniques for getting value from activities such as data profiling, DQ monitoring and DQ reporting. It extends these ideas to the management of data quality within big data environments. This book will appeal to data quality and data management professionals, especially those involved with data governance, across a wide range of industries, as well as academic and government organizations. Readership extends to people higher up the organizational ladder (chief data officers, data strategists, analytics leaders) and in different parts of the organization (finance professionals, operations managers, IT leaders) who want to leverage their data and their organizational capabilities (people, processes, technology) to drive value and gain competitive advantage. This will be a key reference for graduate students in computer science programs which normally have a limited focus on the data itself and where data quality management is an often-overlooked aspect of data management courses.

    • Tissue Engineering

      • 1st Edition
      • January 25, 2022
      • Chandra P. Sharma + 3 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 4 0 6 4 9
      • eBook
        9 7 8 0 1 2 8 2 4 0 6 5 6
      Tissue Engineering: Current Status and Challenges bridges the gap between biomedical scientists and clinical practitioners. The work reviews the history of tissue engineering, covers the basics required for the beginner, and inspires those in the field toward future research and application emerging in this fast-moving field. Written by global experts in the field for those studying and researching tissue engineering, the book reviews regenerative technologies, stem cell research and regeneration of organs. It then moves to soft tissue engineering (heart, vascular, muscle and 3D scaffolding and printing), hard tissue engineering (bone, dental myocardial and musculoskeletal) and translational avenues in the field.

    • Cellular and Molecular Aspects of Myeloproliferative Neoplasms - Part B

      • 1st Edition
      • Volume 366
      • January 24, 2022
      • English
      • Hardback
        9 7 8 0 3 2 3 8 9 9 4 1 3
      • eBook
        9 7 8 0 3 2 3 8 9 9 4 2 0
      Cellular and Molecular Aspects of Myeloproliferative Neoplasms - Part B, Volume 366 in the International Review of Cell and Molecular Biology series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Sections cover Genetic and Sex predisposition to MPN, Transcriptional configurations of Myeloproliferative Neoplasms, Inhibitors and therapeutic targets of MPN, Mutational landscape of blast-phase myeloproliferative neoplasm (MPN-BP) and antecedent MPN, and Lessons from Mouse model of MPN, Lab tests for MPN.

    • Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data

      • 1st Edition
      • January 22, 2022
      • Akash Kumar Bhoi + 3 more
      • English
      • Paperback
        9 7 8 0 3 2 3 8 5 7 5 1 2
      • eBook
        9 7 8 0 3 2 3 9 0 3 4 8 6
      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-processi... 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.

    • Cardiovascular Pathology

      • 5th Edition
      • January 22, 2022
      • L. Maximilian Buja + 1 more
      • English
      • Hardback
        9 7 8 0 1 2 8 2 2 2 2 4 9
      • eBook
        9 7 8 0 3 2 3 9 1 2 0 3 7
      • eBook
        9 7 8 0 3 2 3 9 1 2 5 8 7
      Cardiovascular Pathology, Fifth Edition provides a comprehensive treatise on the pathology of cardiovascular diseases, combining presentations of detailed pathology of cardiovascular diseases coupled with contemporary insights into etiology and pathogenesis. Twenty-two chapters cover general topics, including cardiovascular genetics, heart failure, and transplantation, and specific congenital and acquired cardiovascular diseases, therapeutic interventions, and forensic aspects. New chapters address the scope of practice and training in cardiovascular pathology, with a focus on major diagnostic approaches used in contemporary practice and research in cardiovascular pathology, and a perspective on the field of cardiovascular regenerative medicine linked to the basic pathobiology of cell-based therapy. The book provides a unique combination of details of pathological anatomy essential for pathologists involved in the evaluation of cardiovascular specimens and cardiovascular diseases, and is an excellent reference for anyone interested in the natural history and therapeutic advances in the cardiovascular field.

    • Machine Learning for Biometrics

      • 1st Edition
      • January 21, 2022
      • Partha Pratim Sarangi + 4 more
      • English
      • Paperback
        9 7 8 0 3 2 3 8 5 2 0 9 8
      • eBook
        9 7 8 0 3 2 3 9 0 3 3 9 4
      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.

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