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الصفحة 1
الصفحة 1
Big data analytics and machine intelligence in biomedical and health informatics : Concepts, methodologies, tools and applications
Provides coverage of developments and state-of-the-art methods in the broad and diversified data analytics field and applicable areas such as big data analytics, data mining, and machine intelligence in biomedical and health informatics. Covers the latest advances and developments in health informatics, data mining, machine learning, and artificial intelligence. They have been organized with respect to the similarity of topics addressed, ranging from issues pertaining to the Internet of Things (IoT) for biomedical engineering and health informatics, computational intelligence for medical data processing, and Internet of Medical Things??(IoMT).
Manual of intracytoplasmic sperm injection in human assisted reproduction
For around half of the couples who have trouble conceiving the cause of infertility is sperm-related. Intracytoplasmic sperm injection (ICSI) is the most common and successful treatment for male infertility. Here, the pioneers for the technique, along with authorities in the field, describe the underlying science of ICSI and other micromanipulation techniques. Practical advice for performing the techniques is covered in depth, including sperm selection, laser-assisted ICSI, and the use of piezo in ICSI. Examining the safety of ICSI in animal models as well as the impact of ICSI on the health and well-being of the children conceived through the procedure is discussed. This manual is an essential resource for clinical embryologists and laboratory personnel wishing to refine or develop techniques and improve outcomes.
Community Health Cares O-Process for Evaluation : A Participatory Approach for Increasing Sustainability
Community Health Care’s O-Process for Evaluation offers step-by-step assistance in achieving these goals, from determining areas for assessment to disseminating the results. The steps can be conducted in-house or adapted for use with outsiders, laying a solid foundation for a cycle of continuous evaluation and continued improvement for long-term sustainability.
Clinical decision support systems : Theory and practice
Writes the editor, "If used properly, CDSS have the potential to change the way medicine has been taught and practiced." As clinical decision support systems (CDSS) gain an increasingly central role in the delivery of high quality health care, it becomes more important for the health care community to understand their use. This text is designed as a resource for practicing clinicians, informaticians, teachers and students alike, and provides the most current, comprehensive look a the development and evaluation of clinical decision support systems.
Chemogenomics : Methods and protocols
Presents both theoretical guidance and protocols on chemogenomics including chemogenomics library assembly, compound profiling, and phenotypic assays. The chapters in this book cover topics such as the assembly and use of Kinase Chemogenomics; data mining for chemogenomic compound candidates; protocols for protein family-focused assay systems to profile chemogenomic compounds; functional and target engagement assays in cellular settings for broad characterization; and a discussion on phenotypic assays where chemogenomic sets may be applied.
Cell Stress Proteins
This comprehensive volume, written by experts in the field, provides a current understanding of the molecular properties of the heat shock proteins and their roles in health and disease. Cell Stress Proteins includes advances in several aspects of stress protein research, with chapters ranging from basic studies of the role of heat shock proteins in protein folding to reviews examining the breakdown of stress protein regulation during disease. It also provides analysis of the biochemical and molecular properties of heat shock proteins which can be utilized in evaluating their role in human physiology and pathology. Cell Stress Proteins is an ideal book for researchers, clinicians, physicians, and graduate students in the fields of biochemistry, cell biology, microbiology, immunology, and genetics.
Cancer vaccination and challenges Vol.2 : delivery strategies for cancer vaccine and immunotherapy in the management of various carcinomas
Covers delivery strategies of cancer vaccines for the management of various forms of carcinoma, examining the prospects of delivering immuno-oncology therapies, focusing specifically on effective drug delivery strategies for the treatment of lung, prostate, and pancreatic carcinomas.
Biomining
Biomining is the biotechnology that uses microorganisms to recover metals, in particular copper and gold, from ores and concentrates. Having developed from a very simple operational (in terms of both engineering and biology) process, biomining has developed into a multifaceted technology, to the extent that many of the largest industrial stirred tanks and heaps throughout the world are employed for bioprocessing minerals. This book has a strong applied approach and describes emerging and established industrial processes, as well as the underlying theory of the process, and the biology of the microorganisms involved. Chapters have been written by personnel from leading biomining companies, consultants and internationally recognized researchers and academics
Bioinformatics of genome regulation and structure II
The conference was organized by the Laboratory of Theoretical Genetics, Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia. The material covers the most recent topics in bioinformatics, including (i) regulatory genomic sequences: databases, knowledge bases, computer analysis, modeling, and recognition; (ii) large-scale genome analysis and functional annotation; (iii) gene structure detection and prediction; (iv) comparative and evolutionary genomics; (v) computer analysis of genome polymorphism and evolution; computer analysis and modeling of transcription, splicing, and translation; structural computational biology: structure- function organization of genomic DNA, RNA, and proteins; (vi) gene networks, signal transduction pathways, and genetically controlled metabolic pathways: databases, knowledge bases, computer analysis, and modeling; principles of organization, operation, and evolution; (vii) data warehousing, knowledge discovery and data mining; and (viii) analysis of basic patterns of genome operation, organization, and evolution.
Apoptosis, Senescence, and Cancer
Apoptosis, Senescence and Cancer provides insight into established practices and research into apoptosis and senescence by thoroughly examining novel and emerging techniques and research in the fields of cell death pathways, senescence growth arrest, drugs and resistance, DNA damage response, and other topics which still hold mysteries for researchers.this volume provides basic scientists and clinicians with a deeper and more complete understanding of the cellular responses of malignancies which may determine the effectiveness of treatment.
Antidiabetic plants for drug discovery pharmacology, secondary metabolite profiling, and ingredients with insulin mimetic activity
Takes an in-depth look at the potential pharmacological applications of 11 important antidiabetic plants, examining their antihyperglycemic, hypoglycemic, and anti-lipidemic properties along with current genome editing research perspectives. Plant natural products, or phytoconstituents, are promising candidates for antidiabetic pharmacological actions. The phytoconstituents, such as fl avonoids, terpenoids, saponins, carotenoids, alkaloids and glycosides, play vital roles in the current and future potent antidiabetic drug development programs. Each chapter reviews a particular plant with antidiabetic properties, explaining the therapeutic aspects, its active antidiabetic compounds, and relevant genome editing technology.
Judges and Adjudication in Constitutional Democracies : A View from Legal Realism
Offers contributions to a philosophical and realistic approach to the place of adjudication in contemporary constitutional democracies. Bringing together scholars from different legal and philosophical backgrounds, purports to cast light on the role(s) of judges and the function of judicial interpretation inside of constitutional states, from the standpoint of legal realism as a revisited and sophisticated jurisprudential outlook. In so doing, also copes with a few major jurisprudential issues, like, e.g., determining the ideas that make up the core of legal realism, exploring the relation between legal realism and legal positivism, identifying the boundaries of judicial interpretation as they appear from a realist standpoint, as well as considering some skeptical outlooks on the very claims of contemporary legal realism.
Managing Cyber Threats : Issues, Approaches, and Challenges
Brings together the latest techniques for managing cyber threats, developed by some of the world’s leading experts in the area. The book includes broad surveys on a number of topics, as well as specific techniques. It provides an excellent reference point for researchers and practitioners in the government, academic, and industrial communities who want to understand the issues and challenges in this area of growing worldwide importance.
Machine learning for data streams : With practical examples in MOA
The book first offers a brief introduction to the topic, covering big data mining, basic methodologies for mining data streams, and a simple example of MOA. More detailed discussions follow, with chapters on sketching techniques, change, classification, ensemble methods, regression, clustering, and frequent pattern mining. Most of these chapters include exercises, an MOA-based lab session, or both. Finally, the book discusses the MOA software, covering the MOA graphical user interface, the command line, use of its API, and the development of new methods within MOA.
Machine Learning and Data Mining for Computer Security : Methods and Applications
Presents research conducted in academia and industry on methods and applications of machine learning and data mining for problems in computer security and will be of interest to researchers and practitioners, as well students.
Machine Learning and Big Data Analytics Paradigms : Analysis, Applications and Challenges
Intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.
Machine Learning : The Basics
Approaches ML as the computational implementation of the scientific principle. This principle consists of continuously adapting a model of a given data-generating phenomenon by minimizing some form of loss incurred by its predictions. Trains readers to break down various ML applications and methods in terms of data, model, and loss, thus helping them to choose from the vast range of ready-made ML methods.
Machine Learning : Modeling Data Locally and Globally
Machine Learning - Modeling Data Locally and Globally presents a novel and unified theory that tries to seamlessly integrate different algorithms. Specifically, the book distinguishes the inner nature of machine learning algorithms as either "local learning"or "global learning."This theory not only connects previous machine learning methods, or serves as roadmap in various models, but – more importantly – it also motivates a theory that can learn from data both locally and globally. This would help the researchers gain a deeper insight and comprehensive understanding of the techniques in this field. The book reviews current topics,new theories and applications.
Logical and Relational Learning
This textbook covers logical and relational learning in depth, and hence provides an introduction to inductive logic programming (ILP), multirelational data mining (MRDM) and (statistical) relational learning (SRL). These subfields of data mining and machine learning are concerned with the analysis of complex and structured data sets that arise in numerous applications, such as bio- and chemoinformatics, network analysis, Web mining, natural language processing, within the rich representations offered by relational databases and computational logic.
Location, Transport and Land-Use : Modelling Spatial-Temporal Information
Shows the use of statistical tools for forecasting and analyzing implications of land-use decisions. The idea is that la- use on a map is necessarily a consequence of individual, and often conflicting, siting decisions over time.
