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Format: XXIV, 664 p. 48 illus., 22 illus. in color. , online resource.

ISBN: 9783319471433

Content: This book is open access under a CC BY 4.0 license. This handbook synthesizes and analyzes the growing knowledge base on life course health development (LCHD) from the prenatal period through emerging adulthood, with implications for clinical practice and public health. It presents LCHD as an innovative field with a sound theoretical framework for understanding wellness and disease from a lifespan perspective, replacing previous medical, biopsychosocial, and early genomic models of health. Interdisciplinary chapters discuss major health concerns (diabetes, obesity), important less-studied conditions (hearing, kidney health), and large-scale issues (nutrition, adversity) from a lifespan viewpoint.  In addition, chapters address methodological approaches and challenges by analyzing existing measures, studies, and surveys. The book concludes with the editors’ research agenda that proposes priorities for future LCHD research and its application to health care practice and health policy. Topics featured in the Handbook include:  The prenatal period and its effect on child obesity and metabolic outcomes. Pregnancy complications and their effect on women’s cardiovascular health. A multi-level approach for obesity prevention in children. Application of the LCHD framework to autism spectrum disorder. Socioeconomic disadvantage and its influence on health development across the lifespan. The importance of nutrition to optimal health development across the lifespan. The Handbook of Life Course Health Development is a must-have resource for researchers, clinicians/professionals, and graduate students in developmental psychology/science; maternal and child health; social work; health economics; educational policy and politics; and medical law as well as many interrelated subdisciplines in psychology, medicine, public health, mental health, education, social welfare, economics, sociology, and law.

Note: Chapter 1. Introduction to the Handbook of Life Course Health-Development Science -- SECTION I: EMERGING FRAMEWORKS -- Chapter 2. The Emerging Theoretical Framework of Life Course Health-Development -- SECTION II: LIFE STAGES -- Chapter 3. Preconception and Prenatal Factors and Metabolic Risk -- Chapter 4. Early Childhood and the Life Course: The State of the Science and Proposed Research Priorities -- Chapter 5. Middle Childhood: An Evolutionary-Developmental Synthesis -- Chapter 6. Adolescent Health: A Relational Developmental Systems Perspective -- Chapter 7. Emerging Adulthood as a Critical Stage in the Life Course -- Chapter 8. Pregnancy Characteristics and Women’s Cardiovascular Health -- SECTION III: LIFE COURSE ORIGINS AND CONSEQUENCES OF MAJOR HEALTH CONDITIONS AND ISSUES -- Chapter 9. Early in the Life Course: Time for Obesity Prevention -- Chapter 10. Pediatric Type 2 Diabetes: Prevention and Treatment through a Life Course Health-Development Framework -- Chapter 11. Life Course Health-Development in Autism Spectrum Disorders -- Chapter 12. Self-Regulation -- Chapter 13. A Life Course Health-Development Perspective on Oral Health -- Chapter 14. Life Course Health-Development Outcomes after Prematurity: Developing a Community, Clinical, and Translational Research Agenda to Optimize Health, Behavior and Functioning -- Chapter 15. A Life Course Approach to Hearing Health -- Chapter 16. Chronic Kidney Disease: A Life Course Health-Development Perspective -- SECTION IV: CROSS-CUTTING TOPICS IN LIFE COURSE HEALTH-DEVELOPMENT -- Chapter 17. Growth and Life Course Health-Development -- Chapter 18. From Epidemiology to Epigenetics: Evidence for the Importance of Nutrition to Optimal Health-Development across the Life Course -- Chapter 19. How Socioeconomic Disadvantages Get Under the Skin and Into the Brain to Influence Health-Development across the Lifespan -- Chapter 20. Health Disparities: A Life Course Health-Development Perspective and Future Research Directions -- SECTION V: METHODOLOGICAL APPROACHES -- Chapter 21. Core Principles of Life Course Health-Development Methodology and Analytics -- Chapter 22. Epidemiological Study Designs: Traditional and Novel Approaches to Advance Life Course Health-Development Research -- Chapter 23. Using the National Longitudinal Surveys of Youth (NLSY) to Conduct Life Course Analyses -- Chapter 24. Using the Panel Study of Income Dynamics (PSID) to Conduct Life Course Health-Development Analysis -- Chapter 25. Using the Fragile Families and Child Wellbeing Study (FFCWS) in Life Course Health-Development Research -- SECTION VI: FUTURE DIRECTIONS -- Chapter 26. Life Course Research Agenda (LCRA), Version 1.0.

In: Springer eBooks

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Subjects: Economics

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DOI: 10.1007/978-3-319-47143-3

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Format: 1 Online-Ressource (xxii, 426 Seiten) , 160 Illustrationen, 79 Illustrationen (farbig)

ISBN: 9783030134990

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Subjects: Computer Science

Keywords: Softwareentwicklung ; Informationssystem ; Aufsatzsammlung ; Electronic books

DOI: 10.1007/978-3-030-13499-0

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Author information: Reussner, Ralf

Author information: Hasselbring, Wilhelm 1964-

Author information: Goedicke, Michael

Author information: Märtin, Lukas

Author information: Vogel-Heuser, Birgit 1961-

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Format: 1 Online-Ressource (xxii, 627 Seiten) : , Illustrationen, Diagramme, Karten (farbig).

ISBN: 978-3-319-92288-1

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Subjects: Geography

Keywords: Geografie ; Umweltgeografie ; Klimaänderung ; Nachhaltigkeit ; Electronic books.

DOI: 10.1007/978-3-319-92288-1

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Format: 1 Online-Ressource (ix, 222 Seiten) , Illustrationen

ISBN: 9783319766447

Series Statement: Contributions to economics

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DOI: 10.1007/978-3-319-76644-7

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Author information: Begović, Boris 1956-

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Format: 1 online resource (471 pages)

ISBN: 981-327-982-6 , 981-327-981-8

Content: The Pacific Symposium on Biocomputing (PSB) 2019 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2019 will be held on January 3 – 7, 2019 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference. PSB 2019 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology. The PSB has been designed to be responsive to the need for critical mass in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders of research in biocomputing's "hot topics." In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field.

Note: Intro -- Preface -- PATTERN RECOGNITION IN BIOMEDICAL DATA: CHALLENGES IN PUTTING BIG DATA TO WORK -- Session introduction -- Introduction -- References -- Learning Contextual Hierarchical Structure of Medical Concepts with Poincairé Embeddings to Clarify Phenotypes -- 1. Introduction -- 2. Methods -- 2.1. Source Code -- 2.2. Data Source -- 2.3. Data Selection and Preprocessing -- 2.3.1. Reference ICD9 Example -- 2.3.2. Real Member Analyses -- 2.4. Poincaré Embeddings -- 2.5. Processing and Evaluating Embeddings -- 3. Results -- 3.1. ICD9 Hierarchy Evaluation -- 3.2. Poincaré Embeddings on 10 Million Members -- 3.3. Comparison with Euclidean Embeddings -- 3.4. Cohort Specific Embeddings -- 4. Discussion and Conclusion -- 5. Acknowledgments -- References -- The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data -- 1. Introduction -- 2. Background -- 2.1. Multitask nets -- 3. Methods -- 3.1. Dataset Construction and Design -- 3.2. Experimental Design -- 4. Experiments and Results -- 4.1. When Does Multitask Learning Improve Performance? -- 4.2. Relationship Between Performance and Number of Tasks -- 4.3. Comparison with Logistic Regression Baseline -- 4.4. Interaction between Phenotype Prevalence and Complexity -- 5. Limitations -- 6. Conclusion -- Acknowledgments -- References -- ODAL: A one-shot distributed algorithm to perform logistic regressions on electronic health records data from multiple clinical sites -- 1. Introduction -- 1.1. Integrate evidence from multiple clinical sites -- 1.2. Distributed Computing -- 2. Material and Method -- 2.1. Clinical Cohort and Motivating Problem -- 2.2. Algorithm -- 2.3. Simulation Design -- 3. Results -- 3.1. Simulation Results -- 3.2. Fetal Loss Prediction via ODAL -- 4. Discussion -- References. , PVC Detection Using a Convolutional Autoencoder and Random Forest Classifier -- 1. Introduction -- 2. Methods -- 2.1. Data Set and Implementation -- 2.2. Proposed PVC Detection Method -- 2.2.1. Feature Extraction -- 2.2.2. Classification -- 3. Results -- 3.1. Full Database Evaluation -- 3.2. Timing Disturbance Evaluation -- 3.3. Cross-Patient Training Evaluation -- 3.4. Estimated Parameters and Convergence -- 4. Discussion -- References -- Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications -- 1. Introduction -- 2. Related Work -- 3. Confounder Filtering (CF) Method -- 3.1. Overview -- 3.2. Method -- 3.3. Availability -- 4. Experiments -- 4.1. lung adenocarcinoma prediction -- 4.1.1. Data -- 4.1.2. Results -- 4.2. Segmentation on right ventricle(RV) of Heart -- 4.2.1. Data -- 4.2.2. Results -- 4.3. Students' confusion status prediction -- 4.3.1. Data -- 4.3.2. Results -- 4.4. Brain tumor prediction -- 4.4.1. Data -- 4.4.2. Results -- 4.5. Analyses of the method behaviors -- 5. Conclusion -- 6. Acknowledgement -- References -- DeepDom: Predicting protein domain boundary from sequence alone using stacked bidirectional LSTM -- 1. Introduction -- 2. METHODS -- 2.1 Data Set Preparation -- 2.2 Input Encoding -- 2.3 Model Architecture -- 2.4 Evaluation criteria -- 3. RESULTS AND DISCUSSION -- 3.1 Parameter configuration experiments on test data -- 3.2 Comparison with Other Domain Boundary Predictors -- 3.2.1 Free modeling targets from CASP 9 -- 3.2.2 Multi-domain targets from CASP 9 -- 3.2.3 Discontinuous domain target from CASP 8 -- 4. CONCLUSION -- 5. ACKNOWLEDGEMENTS -- REFERENCES -- Res2s2aM: Deep residual network-based model for identifying functional noncoding SNPs in trait-associated regions -- 1. Introduction -- 2. Background theory. , 3. Dataset for training and testing -- 3.1. Source databases -- 3.2. Dataset generation -- 4. Methods -- 4.1. ResNet architecture in our model -- 4.2. Tandem inputs of forward- and reverse-strand sequences -- 4.3. Biallelic high-level network structure -- 4.4. Incorporating HaploReg SNP annotation features -- 4.5. Training of models -- 5. Results -- 6. Conclusions and discussion -- Acknowledgements -- References -- DNA Steganalysis Using Deep Recurrent Neural Networks -- 1. Introduction -- 2. Background -- 2.1. Notations -- 2.2. Hiding Messages -- 2.3. Determination of Message-Hiding Regions -- 3. Methods -- 3.1. Proposed DNA Steganalysis Principle -- 3.2. Proposed Steganalysis RNN Model -- 4. Results -- 4.1. Dataset -- 4.2. Input Representation -- 4.3. Model Training -- 4.4. Evaluation Procedure -- 4.5. Performance Comparison -- 5. Discussion -- Acknowledgments -- References -- Bi-directional Recurrent Neural Network Models for Geographic Location Extraction in Biomedical Literature -- 1. Introduction -- 2. Related Work -- 3. Methods -- 3.1. Toponym Detection -- 3.1.1. Recurrent Neural Networks -- 3.1.2. LSTM -- 3.1.3. Other Gated RNN Architectures -- 3.1.4. Hyperparameter search and optimization -- 3.2. Toponym Disambiguation -- 3.2.1. Building Geonames Index -- 3.2.2. Searching Geonames Index -- 4. Results and Discussion -- 4.1. Toponym Disambiguation -- 4.2. Toponym Resolution -- 5. Limitations and Future Work -- 6. Conclusion -- Acknowledgments -- Funding -- References -- Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning -- 1. Introduction -- 2. Related Work -- 3. Method -- 3.1. Model Framework -- 3.2. Deep Reinforcement Learning for Organizing Actions -- 3.3. Preprocessing and Name Entity Recognition with UMLS -- 3.4. Bidirectional LSTM for Relation Classification. , 3.5. Algorithm -- 3.6. Implementation Specification -- 4. Experiments -- 4.1. Data -- 4.2. Evaluation -- 4.3. Results -- 4.3.1. Improved Reliability -- 4.3.2. Robustness in Real-world Situations -- 4.3.3. Number of Articles Read -- 5. Conclusions and Future Work -- 6. Acknowledgement -- References -- Estimating classification accuracy in positive-unlabeled learning: characterization and correction strategies -- 1. Introduction -- 2. Methods -- 2.1. Performance measures: definitions and estimation -- 2.2. Positive-unlabeled setting -- 2.3. Performance measure correction -- 3. Experiments and Results -- 3.1. A case study -- 3.2. Data sets -- 3.3. Experimental protocols -- 3.4. Results -- 4. Conclusions -- Acknowledgements -- References -- PLATYPUS: A Multiple-View Learning Predictive Framework for Cancer Drug Sensitivity Prediction -- 1. Introduction -- 2. System and methods -- 2.1. Data -- 2.2. Single views and co-training -- 2.3. Maximizing agreement across views through label assignment -- 3. Results -- 3.1. Preliminary experiments to optimize PLATYPUS performance -- 3.2. Predicting drug sensitivity in cell lines -- 3.3. Key features from PLATYPUS models -- 4. Conclusions -- Acknowledgments -- References -- Computational KIR copy number discovery reveals interaction between inhibitory receptor burden and survival -- 1. Introduction -- 2. Materials and Methods -- 2.1 Data collection -- 2.2 K-mer selection -- 2.3 NGS pipeline and k-mer extraction -- 2.4 Data cleaning -- 2.5 Normalization of k-mer frequencies -- 2.6 Copy number segregation and cutoff selection -- 2.7 Validation of copy number -- 2.8 Survival analysis -- 2.9 Additional immune analysis -- 3. Results and Discussions -- 3.1 Establishing unique k-mers -- 3.2 Varying coverage of KIR region by exome capture kit -- 3.3 Inference of KIR copy number -- 3.4 Population variation of the KIR region. , 3.5 KIR inhibitory gene burden correlates with survival in cervical and uterine cancer -- 5. Conclusions -- 6. Acknowledgements -- 7. Supplementary Material -- References -- Exploring microRNA Regulation of Cancer with Context-Aware Deep Cancer Classifier -- 1. Introduction -- 2. Data -- 2.1. Preprocessing -- 3. Deep Cancer Classifier -- 3.1. Training & -- testing -- 3.2. Parameter tuning -- 3.3. Feature importance -- 4. Results and Discussion -- 4.1. Model selection -- 4.2. Classifier performance -- 4.3. Comparison with other methods -- 4.4. Feature importance -- 5. Conclusion -- References -- Implementing and Evaluating A Gaussian Mixture Framework for Identifying Gene Function from TnSeq Data -- 1. Introduction -- 1.1. TnSeq Motivation and Background -- 1.2. Motivation and New Methods -- 2. Methods -- 2.1. TnSeq Experimental Data -- 2.2. Mixture framework -- 2.3. Classification methods -- 2.3.1. Novel method - EM -- 2.3.2. Current method - t-statistic -- 2.3.3. Bayesian hierarchical model -- 2.3.4. Data partitioning for the Bayesian model -- 2.4. Simulation -- 2.5. Real data -- 3. Results -- 3.1.1. Classification rate -- 3.1.2. False positive rate -- 3.1.3. Positive classification rate -- 3.1.4. Cross entropy -- 3.2. Simulation Results -- 3.3. Comparisons on real data -- 3.4. Software -- 4. Discussion -- References -- SNPs2ChIP: Latent Factors of ChIP-seq to infer functions of non-coding SNPs -- 1. Introduction -- 2. Results -- 2.1. SNPs2ChIP analysis framework overview -- 2.2. Batch normalization of heterogeneous epigenetic features -- 2.3. Latent factor discovery and their biological characterization -- 2.4. SNPs2ChIP identifies relevant functions of the non-coding genome -- 2.4.1. Genome-wide SNPs coverage of the reference datasets -- 2.4.2. Non-coding GWAS SNPs of systemic lupus erythematosus -- 2.4.3. ChIP-seq peaks for vitamin D receptors. , 2.5. Robustness Analysis in the latent factor identification. , English

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Format: 155 Seiten : , Illustrationen ; , 24 cm x 14 cm.

ISBN: 978-3-95749-201-2 , 3-95749-201-7

Series Statement: Theater der Zeit. Recherchen 147

Note: Beiträge deutsch und englisch

Additional Edition: Erscheint auch als Online-Ausgabe, EPUB ISBN 978-3-95749-248-7

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Language: English

Subjects: General works

Keywords: Theater ; Netzwerk ; Freies Theater ; Vernetzung ; Freies Theater ; Netzwerk ; Aufsatzsammlung ; Konferenzschrift ; Aufsatzsammlung ; Aufsatzsammlung ; Konferenzschrift

URL: http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031288070&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA

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Author information: Balme, Christopher 1957-

UID:

Format: 1 online resource (696 pages) : , color illustrations

ISBN: 1-78374-752-8

Content: "Conservation Biology in Sub-Saharan Africa comprehensively explores the challenges and potential solutions to key conservation issues in Sub-Saharan Africa. Easy to read, this lucid and accessible textbook includes fifteen chapters that cover a full range of conservation topics, including threats to biodiversity, environmental laws, and protected areas management, as well as related topics such as sustainability, poverty, and human-wildlife conflict. This rich resource also includes a background discussion of what conservation biology is, a wide range of theoretical approaches to the subject, and concrete examples of conservation practice in specific African contexts. Strategies are outlined to protect biodiversity whilst promoting economic development in the region. Boxes covering specific themes written by scientists who live and work throughout the region are included in each chapter, together with recommended readings and suggested discussion topics. Each chapter also includes an extensive bibliography. Conservation Biology in Sub-Saharan Africa provides the most up-to-date study in the field. It is an essential resource, available on-line without charge, for undergraduate and graduate students, as well as a handy guide for professionals working to stop the rapid loss of biodiversity in Sub-Saharan Africa and elsewhere. Visit the 'Additional Resources' section to find out more about how to download individual chapters and images, upload material to the teaching platform that will be launched in the forthcoming months or join the textbook's discussion forum."--Publisher's website

Note: Includes index. , What is Conservation Biology? Introduction to Sub-Saharan Africa What is Biodiversity? Why Should We Protect Biodiversity? The Scramble for Space Our Warming World Pollution, Overharvesting, Invasive Species, and Disease Extinction is Forever Applied Population Biology Conserving Ecosystems Preventing Extinctions Biodiversity and the Law The Importance of Protected Areas Conservation on Unprotected Lands An Agenda for the Future Appendix A. Selected Sources of Information Appendix B. Selected Environmental Organisations Appendix C. Obtaining Conservation Funding Appendix D. Environmental Calendar

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Format: 1 Online-Ressource (xiii, 331 Seiten) , Diagramme, Karten

ISBN: 9780520972797 , 9780520972797

Note: Includes bibliographical references and index. -

Additional Edition: Erscheint auch als Druck-Ausgabe, paperback ISBN 978-0-520-30365-2

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Keywords: Japan ; China ; Preußen ; Wirtschaft ; Geschichte 1600-1912 ; Aufsatzsammlung ; Electronic books. ; Electronic books. ; History.

DOI: 10.1525/luminos.63

DOI: 10.1525/9780520972797

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Format: 1 DVD-Video (91 min) ; , 12 cm.

Content: "Temporeiche und tricktechnisch hochversierte Adaption des Kinderbuchs von Beatrix Potter über den Kleinkrieg eines Hasen mit einem verbiesterten alten Mann. Auch nach dessen Tod ändert sich die Situation nur wenig, da der schnöselige Erbe ebenfalls nichts von Nagetieren hält. Allerdings verliebt er sich in die aparte Nachbarin, bei der die Tiere ihrerseits hoch im Kurs stehen. Der in den Animationselementen beinahe fotorealistische Film setzt auf ein durchgehend hohes Tempo, ein ausgefeiltes Dialogbuch und einen wunderbar ironischen Soundtrack. [...]" [filmdienst.de]

Note: Original: USA 2018. - Bonus: Peter Hase: Unfug im Anmarsch, Tanz mit: Schüttel den Wuschelpuschel; inklusive Peter Hase dem Kurzfilm mit Flopsi, Mopsi und Wuschelpuschel. - Bildformat 2.35:1 (16:9) widescreen , Deutsch, Englisch, Flämisch, Französisch, Holländisch; Untertitel: Deutsch, Englisch, Arabisch, Französisch, Holländisch, Türkisch

Language: English

Keywords: Film ; DVD-Video ; Film ; DVD-Video ; Film ; Film ; Film ; Spielfilm ; Film

Author information: Potter, Beatrix 1866-1943

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Format: xxvi, 900 Seiten : , Diagramme ; , 25 cm.

Edition: 2nd edition

ISBN: 978-1-4129-6196-7 , 978-1-5297-1211-7

Series Statement: SAGE reference

Note: Literaturangaben

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Language: English

Subjects: Economics , Education , Psychology , Sociology

Keywords: Organisationstheorie ; Institutionalismus ; Aufbauorganisation ; Institution ; Organisationstheorie ; Institutionenökonomie ; Organisationsökologie ; Organisationstheorie ; Aufsatzsammlung ; Aufsatzsammlung ; Aufsatzsammlung ; Handbuch

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Author information: Meyer, Renate E., 1963-