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الصفحة 4
Acute Promyelocytic Leukemia : Molecular Genetics, Mouse Models and Targeted Therapy
Over the past 10 years, work on acute promyelocytic leukemia (APL) has become the paradigm of translational research that began with the discovery of a recurrent chromosomal translocation, followed by the identification of the genes and proteins involved, finding their molecular functions in transcriptional control, establishing mouse models and culminating in the development of targeted therapy.
Acute Myelogenous Leukemia
The focus is on selected critical molecular determinants of AML pathogenesis and pathophysiology and the exploitation of these factors by diverse therapeutic agents and modalities. Bringing together new concepts and findings in the basic and clinical science of AML, the book emphasizes the molecular basis for new therapies that stand to have the greatest potential impact on the clinical face of these diseases. The text provides insights into selected novel strategies currently and prospectively being developed, including interruption of specific signal transduction pathways, modulation of gene expression, attempts to reinstate differentiation, and immunomodulation.
Actin-Binding Proteins and Disease
This volume, written by experts in the field, is the first to deal with the relationship between human disease and the actin cytoskeleton. It provides overviews of actin and selected actin-binding proteins, and then focuses on diseases that involve these proteins. Specific chapters deal with actin, cofilin, profilin, gelsolin and thymosin ¾4. Other chapters discuss the roles of multiple actin-binding proteins in cancer and metastasis, leukocyte disorders, and heart failure, and there is a chapter that describes how intracellular pathogens use the host actin cytoskeleton. This seminal volume is intended for researchers, clinicians, physicians, and graduate students in the fields of biochemistry, cell biology, microbiology, immunology, and genetics.
Abnormal Skeletal Phenotypes : From Simple Signs to Complex Diagnoses
This book focuses on the radiographic changes of malformation syndromes and skeletal dysplasias. It is structured such that the reader can identify the radiographic changes and relate them to specific disease entities. The aim is to provide an essential, practical guideline to the recognition of the key radiographic signs for diagnosing malformation syndromes and skeletal dysplasias.
Abeta Peptide and Alzheimers Disease : Celebrating a Century of Research
Abeta Peptide and Alzheimer’s Disease summarizes current knowledge of beta-amyloid peptide (Aß) and its role as the major culprit in Alzheimer’s Disease (AD), shown by recent advances in genetics and brain biochemistry.the book covers fundamental biochemical studies on the Aß peptide, the genetic impact on Aß expression and processing, and various AD therapeutic strategies that target Aß. Although specifically focusing on Aß and AD, there is also some discussion on the similarity and differences of this peptide and AD with other amyloidogenic diseases.
A Changing World : Challenges for Landscape Research
Written primarily for researchers and advanced students in environmental and social sciences, this latest book in Springer’s Landscape Series looks at some of the emerging fields and new challenges in landscape research. These include: the role of value systems in perceiving, appreciating, and managing landscapes the ‘space’ and ‘place’ concept in landscape research GIS and remote sensing techniques for gathering and processing spatially and temporally explicit land cover, vegetation, and land use data methods of landscape history landscape genetics and genetic methods to test landscape connectivity and dispersal of plant and animal species
Machine learning for brain disorders
Organized into five parts. Part One presents the fundamentals of ML. Part Two looks at the main types of data used to characterize brain disorders, including clinical assessments, neuroimaging, electro- and magnetoencephalography, genetics and omics data, electronic health records, mobile devices, connected objects and sensors. Part Three covers the core methodologies of ML in brain disorders and the latest techniques used to study them. Part Four is dedicated to validation and datasets, and Part Five discusses applications of ML to various neurological and psychiatric disorders.
Machine learning for biomedical application
Biomedicine is a multidisciplinary branch of medical science that consists of many scientific disciplines, e.g., biology, biotechnology, bioinformatics, and genetics; moreover, it covers various medical specialties. In recent years, this field of science has developed rapidly. This means that a large amount of data has been generated, due to (among other reasons) the processing, analysis, and recognition of a wide range of biomedical signals and images obtained through increasingly advanced medical imaging devices. The analysis of these data requires the use of advanced IT methods, which include those related to the use of artificial intelligence, and in particular machine learning. It is a summary of the Special Issue “Machine Learning for Biomedical Application”, briefly outlining selected applications of machine learning in the processing, analysis, and recognition of biomedical data, mostly regarding biosignals and medical images.
Linear and Generalized Linear Mixed Models and Their Applications
This book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and it presents an up-to-date account of theory and methods in analysis of these models as well as their applications in various fields. It offers a systematic approach to inference about non-Gaussian linear mixed models. Furthermore, it discusses the latest developments and methods in the field, incorporating relevant updates since publication of the first edition. These include advances in high-dimensional linear mixed models in genome-wide association studies (GWAS), advances in inference about generalized linear mixed models with crossed random effects, new methods in mixed model prediction, mixed model selection, and mixed model diagnostics.
Bioinformatics research and development ; 2nd International Conference, BIRD 2008 Vienna, Austria, July 7-9, 2008 Proceedings
This book constitutes the refereed proceedings of the Second International Bioinformatics Research and Development Conference, BIRD 2008, held in Vienna, Austria in July 2008.
Bioinformatics
In this textbook present mathematical models in bioinformatics and they describe the biological problems that inspire the computer science tools used to handle the enormous data sets involved. The first part of the book covers the mathematical and computational methods, while the practical applications are presented in the second part. The mathematical presentation is descriptive and avoids unnecessary formalism, and yet remains clear and precise. Emphasis is laid on motivation through biological problems and cross applications. Each of the four chapters in the first part is accompanied by exercises and problems to support an understanding of the techniques presented. Each of the six chapters of the second part is devoted to some specific application domain: sequence alignment, molecular phylogenetics and coalescence theory, genomics, proteomics, RNA, and DNA microarrays. Each chapter concludes with a problems and projects section, to deepen the reader's understanding and to allow for the design of derived methods. Many of the projects involve publicly available software and/or Web-based bioinformatics depositories. Finally, the book closes with a thorough bibliography, reaching from classic research results to very recent findings, providing many pointers for future research.Overall, this volume is ideally suited for a senior undergraduate or graduate course on bioinformatics, with a strong focus on its mathematical and computer science background.
Clinical Approaches in Endodontic Regeneration : Current and Emerging Therapeutic Perspectives
This book combines explanation of the scientific base underpinning vital pulp treatment with description of current and emerging trends in clinical practice. It guides the reader through modern views on pulp diagnostics, deep caries, and pulp exposure management, leading to an analysis of the biological aspects of regenerative techniques such as angiogenesis, neurogenesis, inflammation, and epigenetics.
Biology of orthodontic tooth movement : current concepts and applications in orthodontic practice
Presents the current knowledge and understanding of the biological processes involved in the orthodontic movement of teeth and discusses recent progress in the field. It links research advances to their immediate clinical applications and offers researchers and clinicians a state of the art reference on topical issues relating to orthodontic tooth movement.
Agent-based modeling : The Santa Fe Institute artificial stock market model revisited
An excellent reference to both the learning, and empirical literature in finance." (Krzysztof Piasecki, Zentralblatt MATH, Vol. 1141, 2008) "Norman Ehrentreich was one of the daring few to take on the model, and he has summarized his work and findings in this excellent book. … It is useful primer for anyone interested in getting started in the area of agent-based finance. … It is essential reading for anyone interested in the dynamics of the SFI market in particular, but I also recommend it for others as a useful resource on agent-based financial market design as well." (Blake LeBaron, Journal of Artificial Societies and Social Simulation, Vol. 12 (2), March, 2009)
(R)Evolution : Organizations and the Dynamics of the Environment
Investigates the possible changes needed for industrial organizations to adapt to and remain competitive in their ever evolving environment. (R)Evolution’s main area of contribution to these very complex issues is embedded in the work’s ambitious attempt to borrow from evolutionary biology and genetics not only metaphors but also concepts and models to be adapted to the management of business organizations. The work provides us with a comprehensive vision of adaptation and variation in the business community, integrating various intellectual inputs which are based on an evolutionary vision of economic behavior. Using an extensive study of the literature in management science, and applying new models and methodologies in numerous case studies, Dekkers draws many insightful conclusions including the claim that companies often evolve slower than generally expected. Furthermore the research calls into question the effectiveness of the common practice of corporate reorganization. Embracing and merging most major contemporary developments in the theories of change into a comprehensive integrated approach, (R)Evolution is an invaluable resource for researchers specializing in the management of technological change.
Logos of phenomenology and phenomenology of the logos ; Book Two : The Human Condition in-the-Unity-of-Everything-there-is-alive Individuation, Self, Person, Self-determination, Freedom, Necessity
The Human Condition-in-the-unity-of-everything-there-is-alive, under whose aegis the present selection of essays falls, offers the urgently needed new approach to reinvestigating humanness. While recent advances in the neurosciences, genetics and bio-engineering challenge the traditional abstract conception of "human nature", indicating its transformability, thus putting in question the main tenets of traditional philosophical anthropology, in the new perspective of the Human Creative Condition the human individual is seen in its emergence and unfolding within the dynamic networks of the logos of life, and within the evolution of living types.
Biosensing for the 21st Century
Covers trends in modern biotechnology All aspects of this interdisciplinary technology, where knowledge, methods and expertise are required from chemistry, biochemistry, microbiology, genetics, chemical engineering and computer science, are treated
Aspects of mathematical modelling : Applications in science, medicine, economics and management
The construction of mathematical models is an essential scientific activity. Mathematics has long been associated with developments in the exact sciences and engineering, but more recently mathematical modelling has been used to investigate complex systems that arise in many other fields. The contributors to this book demonstrate the application of mathematics to modern research topics in ecology and environmental science, health and medicine, phylogenetics and neural networks, theoretical chemistry, economics and management. The reader will find some review papers outlining current research directions in hot topics such as pattern formation and applications to medicine, and more targeted research papers on current developments in the various disciplines included.
Analytics of Protein-DNA Interactions
This book covers trends in modern biotechnology. All aspects of this interdisciplinary technology, where knowledge, methods and expertise are required from chemistry, biochemistry, microbiology, genetics, chemical engineering and computer science, are treated. More information as well as the electronic version is available at springer.com.
Analysis of variance for random models, Vol. 2 : Unbalanced data : Theory, methods, applications, and data analysis
Analysis of variance (ANOVA) models have become widely used tools and play a fundamental role in much of the application of statistics today. In particular, ANOVA models involving random effects have found widespread application to experimental design in a variety of fields requiring measurements of variance, including agriculture, biology, animal breeding, applied genetics, econometrics, quality control, medicine, engineering, and social sciences. This two-volume work is a comprehensive presentation of different methods and techniques for point estimation, interval estimation, and tests of hypotheses for linear models involving random effects. Both Bayesian and repeated sampling procedures are considered. Volume I examines models with balanced data (orthogonal models); Volume II studies models with unbalanced data (nonorthogonal models).
