springer us okt 2015 (11 risultati)

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book is a comprehensive, self-contained introduction to the mathematical modeling and analysis of infectious diseases. It includes model building, fitting to data, local and global analysis techniques. Various types of deterministic dynamical models are considered: ordinary differential equation models, delay-differential equation models, difference equation models, age-structured PDE models and diffusion models. It includes various techniques for the computation of the basic reproduction number as well as approaches to the epidemiological interpretation of the reproduction number. MATLAB code is included to facilitate the data fitting and the simulation with age-structured models. 468 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This comprehensive resource brings together the most current theories, evidence and best practice parameters for the use of nocturnal non-invasive ventilation (nNIV). Chapters focus on the application of acute and chronic nNIV in patients with cardio-respiratory disorders over a range of major medical settings. Updates on past and recent research in this field are highlighted. Authored by leading clinicians and investigators, Nocturnal Non-Invasive Ventilation provides practical and cutting-edge knowledge to physicians, researchers and allied health professionals on the front lines of treating cardio-respiratory and sleep disorders. 284 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume provides detailed molecular analysis of the associated pathways and cell types involved in Celiac Disease, and embraces new technologies such as next generation sequencing. The book is divided into three parts: Part I gives a background overview with a number of reviews to describe the history and nature of the disease, its diagnosis, the role of animal models, and study designs for investigating genetic susceptibility. Part II describes molecular techniques, including tissue culture, isolation and cloning of relevant cell types, high content analysis of biopsies, and HLA genotyping. The final part of the book begins with an outline of scripting for data management, focusing on tools that are freely available to researchers who wish to explore them. It also describes analysis pipelines for bioinformatics prediction of antigenicity, quality control and analysis of GWAS data, and transcriptome analysis by next generation sequencing. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.Authoritative and thorough, Celiac Disease: Methods and Protocols brings together novel and more traditional methods in molecular biology and immunology, in order to provide a tool-kit for all stages for Celiac Disease research-from the practicalities of identifying, obtaining, stabilizing and maintaining high quality samples, to molecular analysis and bioinformatics. 248 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This volume provides detailed molecular analysis of the associated pathways and cell types involved in Celiac Disease, and embraces new technologies such as next generation sequencing. The book is divided into three parts: Part I gives a background overview with a number of reviews to describe the history and nature of the disease, its diagnosis, the role of animal models, and study designs for investigating genetic susceptibility. Part II describes molecular techniques, including tissue culture, isolation and cloning of relevant cell types, high content analysis of biopsies, and HLA genotyping. The final part of the book begins with an outline of scripting for data management, focusing on tools that are freely available to researchers who wish to explore them. It also describes analysis pipelines for bioinformatics prediction of antigenicity, quality control and analysis of GWAS data, and transcriptome analysis by next generation sequencing. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.Authoritative and thorough, Celiac Disease: Methods and Protocols brings together novel and more traditional methods in molecular biology and immunology, in order to provide a tool-kit for all stages for Celiac Disease research¿from the practicalities of identifying, obtaining, stabilizing and maintaining high quality samples, to molecular analysis and bioinformatics.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 248 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This is a book about infrastructure networks that are intrinsically nonlinear. The networks considered range from vehicular networks to electric power networks to data networks. The main point of view taken is that of mathematical programming in concert with finite-dimensional variational inequality theory. The principle modeling perspectives are network optimization, the theory of Nash games, and mathematical programming with equilibrium constraints. Computational methods and novel mathematical formulations are emphasized. Among the numerical methods explored are network simplex, gradient projection, fixed-point, gap function, Lagrangian relaxation, Dantzig-Wolfe decomposition, simplicial decomposition, and computational intelligence algorithms.Many solved example problems are included that range from simple to quite challenging. Theoretical analyses of several models and algorithms, to uncover existence, uniqueness and convergence properties, are undertaken. The book is meant for use in advanced undergraduate as well as doctoral courses taught in civil engineering, industrial engineering, systems engineering, and operations research degree programs. At the same time, the book should be a useful resource for industrial and university researchers engaged in the mathematical modeling and numerical analyses of infrastructure networks. 520 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents machine learning models and algorithms to address big data classification problems. Existing machine learning techniques like the decision tree (a hierarchical approach), random forest (an ensemble hierarchical approach), and deep learning (a layered approach) are highly suitable for the system that can handle such problems. This book helps readers, especially students and newcomers to the field of big data and machine learning, to gain a quick understanding of the techniques and technologies; therefore, the theory, examples, and programs (Matlab and R) presented in this book have been simplified, hardcoded, repeated, or spaced for improvements. They provide vehicles to test and understand the complicated concepts of various topics in the field. It is expected that the readers adopt these programs to experiment with the examples, and then modify or write their own programs toward advancing their knowledge for solving more complex and challenging problems. The presentation format of this book focuses on simplicity, readability, and dependability so that both undergraduate and graduate students as well as new researchers, developers, and practitioners in this field can easily trust and grasp the concepts, and learn them effectively. It has been written to reduce the mathematical complexity and help the vast majority of readers to understand the topics and get interested in the field. This book consists of four parts, with the total of 14 chapters. The first part mainly focuses on the topics that are needed to help analyze and understand data and big data. The second part covers the topics that can explain the systems required for processing big data. The third part presents the topics required to understand and select machine learning techniques to classify big data. Finally, the fourth part concentrates on the topics that explain the scaling-up machine learning, an important solution for modern big data problems. 380 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Over 98% of the human genome contains non-coding DNA sequences. For many years molecular biologists referred to this component of the genome as the 'junk' DNA since it does not code for any 'useful' protein product. Over the last years this notion changed significantly as scientists discovered that a large part of this DNA contains various genomic elements that have important roles in cell physiology. Genomic elements such as non-coding RNAs, transposons, splicing RNAs, DNA repeats and others were shown to play a significant role in regulating gene expression. In addition, all these elements were implicated to contribute in the pathogenesis or progression of various human diseases. In this book, the editor will attempt to describe all these genomic elements that constitute the junk DNA of the genome. For every genomic element, the physiologic role in the organism, its role in evolution and any possible involvement in human diseases will be discussed. Additionally, interaction between these elements in normal or pathologic condition will be discussed. Since a large amount of new knowledge is generated daily in regards to these genomic elements, this book will attempt to combine all the information in a single publication that can serve as a reference for future studies. The first part will discuss RNA elements such as microRNAs, long non-coding RNAs, piRNAs and splicing RNAs. The second part of the book will deal with transposons, retrotransposons and DNA transposons. Finally the third part of the book will discuss DNA elements that include DNA repeats, conserved non-coding sequences, distal genomic elements, introns, pseudogenes, CpG islands and telomeres. For miRNAs and CNVs a separate chapter will be dedicated to their role in human diseases since an extensive amount of information exists about these two elements.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 328 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents machine learning models and algorithms to address big data classification problems. Existing machine learning techniques like the decision tree (a hierarchical approach), random forest (an ensemble hierarchical approach), and deep learning (a layered approach) are highly suitable for the system that can handle such problems. This book helps readers, especially students and newcomers to the field of big data and machine learning, to gain a quick understanding of the techniques and technologies; therefore, the theory, examples, and programs (Matlab and R) presented in this book have been simplified, hardcoded, repeated, or spaced for improvements. They provide vehicles to test and understand the complicated concepts of various topics in the field. It is expected that the readers adopt these programs to experiment with the examples, and then modify or write their own programs toward advancing their knowledge for solving more complex and challenging problems.The presentation format of this book focuses on simplicity, readability, and dependability so that both undergraduate and graduate students as well as new researchers, developers, and practitioners in this field can easily trust and grasp the concepts, and learn them effectively. It has been written to reduce the mathematical complexity and help the vast majority of readers to understand the topics and get interested in the field. This book consists of four parts, with the total of 14 chapters. The first part mainly focuses on the topics that are needed to help analyze and understand data and big data. The second part covers the topics that can explain the systems required for processing big data. The third part presents the topics required to understand and select machine learning techniques to classify big data. Finally, the fourth part concentrates on the topics that explain the scaling-up machine learning, an important solution for modern big data problems.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 380 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This empirically robust resource examines multiple ways mindfulness can be harnessed to support self-regulation, in part as a real-world component of therapy. Its authoritative coverage approaches complex mind/brain connections from neuroscience, cognitive, personality, social, clinical, and Buddhist perspectives, both within and outside traditional meditation practice. In domains such as letting go of harmful habits and addictions, dealing with depression and anxiety, regulating emotions, and training cognitive function, contributors show how mindfulness-based interventions encourage and inspire change. In addition to scientific coverage, experts translate their methods and findings on mindfulness mechanisms in terms that are accessible to students and clinicians.Included in the Handbook:Mindfulness and its role in overcoming automatic mental processesBurning issues in dispositional mindfulness researchSelf-compassion: what it is, what it does, and how it relates to mindfulnessMindfulness-based cognitive therapy and mood disordersMindfulness as a general ingredient of successful psychotherapyThe emperor's clothes: a look behind the Western mindfulness mystiqueHeralding a new era of mind/brain research--and deftly explaining our enduring fascination with mindfulness in the process--the Handbook of Mindfulness and Self-Regulation will enhance the work of scholars and practitioners. 312 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Diagnosing Borderline Personality Disorder (BPD) in young people has long been a tough call for clinicians, either for fear of stigmatizing the child or confusing the normal mood shifts of adolescence with pathology. Now, a recent upsurge in relevant research into early-onset BPD is inspiring the field to move beyond this hesitance toward a developmentally nuanced understanding of the disorder.The Handbook of Borderline Personality Disorder in Children and Adolescents reflects the broad scope and empirical strengths of current research as well as promising advances in treatment. This comprehensive resource is authored by veteran and emerging names across disciplines, including developmental psychopathology, clinical psychology, child psychiatry, genetics and neuroscience in order to organize the field for an integrative future. Leading-edge topics range from the role of parenting in the development of BPD to trait-based versus symptom-based assessment approaches, from the life-course trajectory of BPD to the impact of the DSM-5 on diagnosis. And of particular interest are the data on youth modifications of widely used adult interventions, with session excerpts.Key areas featured in the Handbook: The history of research on BPD in childhood and adolescence.Conceptualization and assessment issues.Etiology and core components of BPD.Developmental course and psychosocial correlates.Empiricallysupported treatment methods.Implications for future research, assessment and intervention.The Handbook of Borderline Personality Disorder in Children and Adolescents is a breakthrough reference for researchers and clinicians in a wide range of disciplines, including child and school psychology and psychiatry, social work, psychotherapy and counseling, nursing management and research and personality and social psychology. 504 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This progressive reference redefines qualitative research as a crucial component of evidence-based practice and assesses its current and future impact on healthcare. Its introductory section explains the value of sociocultural context in case conceptualization, and ways this evidence can be integrated with quantitative findings to inform and transform practice. The bulk of the book's chapters review qualitative research in diverse areas, including pain, trauma, heart disease, COPD, and disabling conditions, and examine ways of effectively evaluating and applying qualitative data. This seismic shift in perception moves the healing professions away from traditional one-size-fits-all thinking and toward responsive, patient-centered care.Among the topics in the Handbook: Examining qualitative alternatives to categorical representation. The World Health Organization model of health: what evidence is needed Qualitative research in mental health and mental illness. Qualitative evidence in pediatrics. The contribution of qualitative research to medication adherence. Qualitative evidence in health policy analysis.The Handbook of Qualitative Health Research for Evidence-Based Practice offers health and clinical psychologists, rehabilitation specialists,occupational and physical therapists, nurses, family physicians and other primary care providers new ways for understanding patients' health-related experiences and opens up new ways for developing interventions intended to improve health outcomes.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 592 pp. Englisch.