Biotechnology Books

Book SynopsisThe rapidly expanding molecular biological techniques and approaches have significant impact on microbial biotechnology, hence the need for the addition of four new chapters in the third edition of this textbook — “Chapter 3: Application of ‘Omics’ Technologies in Microbial Fermentation”, “Chapter 5: Microbial Genome Mining for Identifying Antimicrobial Targets”, “Chapter 21: Bacterial Biofilm: Molecular Characterization and Impacts on Water Management” and “Chapter 23: Microbial Biomining”. “Chapter 15: Transgenic Plants” has been completely revised while most of the other chapters have been thoroughly updated in this new edition.There already exist a number of excellent general textbooks on microbiology and biotechnology that deal with the basic principles of microbial biotechnology. To complement them, this book focuses on the various applications of microbial-biotechnological principles. A teaching-based format is adopted, whereby working problems, as well as answers to frequently asked questions, supplement the main text. The book also includes real life examples of how the application of microbial-biotechnological principles has achieved breakthroughs in both research and industrial production.Although written for polytechnic students and undergraduates, the book contains sufficient information to be used as a reference for postgraduate students and lecturers. It may also serve as a resource book for corporate planners, managers and applied research personnel.Table of ContentsPrinciples of Microbial Biotechnology; Food Production Involving Microorganisms and Their Products; Microbes in Agrobiotechnology; Microbes in Medical Biotechnology; Microbes in Environmental Biotechnology; Microbes in Alternative Energy and in Mining; Patenting Microbial Biotechnology.

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Book SynopsisThe rapidly expanding molecular biological techniques and approaches have significant impact on microbial biotechnology, hence the need for the addition of four new chapters in the third edition of this textbook — “Chapter 3: Application of ‘Omics’ Technologies in Microbial Fermentation”, “Chapter 5: Microbial Genome Mining for Identifying Antimicrobial Targets”, “Chapter 21: Bacterial Biofilm: Molecular Characterization and Impacts on Water Management” and “Chapter 23: Microbial Biomining”. “Chapter 15: Transgenic Plants” has been completely revised while most of the other chapters have been thoroughly updated in this new edition.There already exist a number of excellent general textbooks on microbiology and biotechnology that deal with the basic principles of microbial biotechnology. To complement them, this book focuses on the various applications of microbial-biotechnological principles. A teaching-based format is adopted, whereby working problems, as well as answers to frequently asked questions, supplement the main text. The book also includes real life examples of how the application of microbial-biotechnological principles has achieved breakthroughs in both research and industrial production.Although written for polytechnic students and undergraduates, the book contains sufficient information to be used as a reference for postgraduate students and lecturers. It may also serve as a resource book for corporate planners, managers and applied research personnel.Table of ContentsPrinciples of Microbial Biotechnology; Food Production Involving Microorganisms and Their Products; Microbes in Agrobiotechnology; Microbes in Medical Biotechnology; Microbes in Environmental Biotechnology; Microbes in Alternative Energy and in Mining; Patenting Microbial Biotechnology.

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Book SynopsisTable of Contents1. Introduction Drug Discovery 2. Intro to ML 3. Data Types 4. Target ID and Val 5. Hit Discovery 6. Lead Optimisation 7. Evaluating Safety and Toxicity 8. Precision Medicine and Finding the 'right patient': Date-driven Identification of Disease Subtypes 9. Image Analysis in Drug Discovery 10. Clinical Trials, Real World Evidence and Digital Medicine 11. To and From the Patient

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Book SynopsisA study of the mutually constituitive relations between Western biomedicine and Ango- American literature in the 20th and early 21st centuries, tracing the interwoven processes by which both fields have transformed the course of human life.Trade Review“Liminal Lives offers very strong and important theoretical insights into relationships between scientific knowledge and practice and literary production. Its innovative methodology creates possibilities for better communication and exchange between scientific, literary, and social scientific knowledge in a way that will be very useful to others interested in interdisciplinary science studies.”—Catherine Waldby, author of AIDS and The Body Politic: Biomedicine and Sexual Difference“A brilliant and provocative exploration of how biomedicine and literature, particularly science fiction, are together reconfiguring the very shape of the entire life span, producing adoptable embryos, giant babies, interspecies pregnancies, and regenerated old bodies—all in the context of a new and grim bio-economy in which hearts and kidneys are for sale and earrings are fabricated out of fetal remains.”—Kathleen Woodward, author of Aging and Its Discontents: Freud and Other Fictions“Susan Merrill Squier’s Liminal Lives is compelling, timely, imaginative, and wonderfully provocative.”—Priscilla Wald, author of Constituting Americans: Cultural Anxiety and Narrative FormTable of ContentsList of Illustrations xi Acknowledgments xiii Introduction: Networking Liminality 1 1. The Uses of Literature for Feminist Science Studies: Tracing Liminal Lives 25 2. The Cultured Cell: Life and Death at Strangeways 58 3. The Hybrid Embryo and Xenogenic Desire 89 4. Giant Babies: Graphing Growth in the Early Twentieth Century 112 5. Incubabies and Rejuvenates: The Traffic between Technologies of Reproduction and Age Extension 146 6. Transplant Medicine and Transformative Narrative 168 7. Liminal Performances of Aging: From Replacement to Regeneration 214 Coda: The Pluripotent Discourse of Stem Cells: Liminality, Reflexivity, and Literature 253 Notes 281 Works Cited 315 Index 335

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Book SynopsisIn Starved for Science Paarlberg explains why poor African farmers are denied access to productive technologies, particularly genetically engineered seeds with improved resistance to insects and drought. He traces this obstacle to the current opposition to farm science in prosperous countries.Trade ReviewExcept for South Africa, no African state has legalized the planting of GMOs for production and consumption. While citizens of rich countries have the luxury of deciding what kinds of foods--organic, nonorganic, GMO, non-GMO--to eat, droughts and insect infestations continue to wipe out crops, and rural African children die because they have no choices. Bringing another perspective to the GMO debate [is] Paarlberg's provocative argument. -- Joshua Lambert * Library Journal *Condoning the cultivation of genetically modified crops for food is not, Robert Paarlberg concedes, likely to win him friends in academic circles...But in this timely book, Paarlberg, a political scientist, makes a strong argument: Europeans, who have so much food they do not need the help of science to make more, are pushing their prejudices on Africa, which still relies on foreign aid to feed its people. He calls on global policymakers to renew investment in agricultural science and to stop imposing visions of "organic food purity" on a continent that has never had a green revolution. As governments look for ways of tackling what is now commonly called a "global food crisis" with unprecedented price increases in basic foodstuffs, this book offers welcome food for thought. -- Jenny Wiggins * Financial Times *[An] illuminating book on the state of science and agriculture in Africa...[It] has much of merit. -- Jules Pretty * Times Higher Education Supplement *[This] book ends with an alternative perspective on globalization that will inspire open-minded skeptics to rethink the matter...[Paarlberg is] a pragmatic believer in separating babies from bathwater. The fact that current applications of GM technology primarily benefit a handful of corporations does not deter Paarlberg from envisioning a scenario in which nonprofits and private African corporations might employ GM technology to serve the increasingly dire needs of African farmers...An insightful book that deftly balances the benefits and drawbacks of globalization, all within parameters conforming to the real world, the one in which we live...A clarion call for corporations and NGOs alike to revisit issues that have been ideologically polarized rather than rationally examined. -- James E. McWilliams * Texas Observer *This is an important book...Paarlberg has written extensively about smallholder agricultural development and genetically modified (GM) crops in Africa. Here he goes much deeper than just the GM debate to suggest that the anti-GM arguments are part of the currently fashionable trend in many international institutions such as the World Bank and leading NGOs to push organic agriculture and a European-style regulatory system in Africa--instead of promoting increased production...The author says that although well-intentioned, and perhaps appropriate in countries which have already experienced major scientific advances in agriculture, including India, China, and Brazil, these policies are leading to food shortages and agricultural disasters in Africa. Well argued and documented, if controversial. -- C. W. Hartwig * Choice *Table of Contents* Preface * Introduction * Why Are Africans Rejecting Biotechnology? * Why Rich Countries Dislike Agricultural GMOs * Downgrading Agricultural Science in Rich Countries * Withdrawing Support for Agricultural Science in Africa * Keeping Genetically Engineered Crops Out of Africa * Drought-Tolerant Crops--Only for the Rich? * Conclusion * An Imperialism of Rich Tastes * References * Index

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Book SynopsisThis book presents and summarizes the new thoughts, new methods and new achievements that have emerged in the biotechnology of lignocellulose in recent years. It proposes new concepts including the primary refining, fractionation, multi-level utilization and selective structural separation of lignocellulose, etc. By approaching lignocellulose as a multi-level resource, biotechnology could have a significant effect on ecological agriculture, bio-energy, the chemical and paper making industries, etc., ultimately establishing distinctive eco-industrial parks for lignocellulose. Additionally, this book provides systematic research methods for the biotechnology of lignocellulose including investigation methods for the primary refining of lignocellulose, for microbial degradation and enzymatic hydrolysis, for cellulose fermentation and for lignocellulose conversion processes. It offers an excellent reference work and guide for scientists engaging in research on lignocellulose. Dr. Hongzhang Chen is a Professor at the Institute of Process Engineering of the Chinese Academy of Sciences, Beijing, China.Table of ContentsBrief Introduction to the Biotechnology of Lignocellulose.- Chemical Composition and Structure of Natural Lignocellulose.- Biological Fundamentals for Biotechnology of Lignocellulose.- Pretreatment and Primary Refining of Lignocelluloses.- Applications of Lingocellulose Biotechnology in Ecological Agriculture.- Applications of Lingocellulose Biotechnology in Bioenergy.- Applications of Lingocellulose Biotechnology in Chemical Industry.- Applications of Lingocellulose Biotechnology in Chemical Industry.- Applications of Lingocellulose Biotechnology in Other Industries.- Ecological Industry Model for Biotechnology of Lignocellulose.- Research Methods for the Biotechnology of Lignocellulose.

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Book SynopsisBiographical Memoirs V.87Table of Contents1 Front Matter; 2 Lars Valerian Ahlfors; 3 Gabriel A. Almond; 4 Thomas Foxen Anderson; 5 Julius Axelrod; 6 Elso Sterrenberg Barghoorn, Jr; 7 Herman Samuel Bloch; 8 Joseph W. Chamberlain; 9 Ansley J. Coale; 10 Donald Shard Fredrickson; 11 James Hall, Jr; 12 Zellig Sabbatai Harris; 13 Harold Hotelling; 14 Martin Glover Larrabee; 15 Melvin Lax; 16 Leonard Mandel; 17 Richard Drummong McKelvey; 18 Eugene Pleasants Odum; 19 Harrison Shull; 20 Hans E. Suess; 21 Raymond Elliott Zirkle

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Book SynopsisPresents a discussion of principles governing biomaterial design, a description of advanced materials for selected functions such as energy and national security, an assessment of biomolecular materials research tools, and an examination of infrastructure and resources for bridging biological and materials science.Table of Contents1 Front Matter; 2 Summary; 3 1 Introduction; 4 2 Understanding Biomolecular Processes: Toward Principles That Govern Biomaterial Design; 5 3 Advanced Functional Materials; 6 4 Probes and Tools for Biomolecular Materials Research; 7 5 Infrastructure and Resources; 8 6 Conclusions and Recommendations; 9 Appendixes; 10 Appendix A: Statement of Task; 11 Appendix B: Biographies of Committee Members; 12 Appendix C: Committee Meeting Agendas; 13 Appendix D: Glossary

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Book SynopsisThis unique compendium provides an insight into the role of emerging marine biorefineries based on macroalgae (seaweeds) in the development of a sustainable use of ocean resources for economic growth-blue economy.The useful reference text shows a complete picture on the motivation to develop seaweed technologies, and how the combination of biology, cultivation technologies and downstream processing with economics can address the social challenges through the blue growth.

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Book SynopsisBiological systems are extremely complex and have emergent properties that cannot be explained or even predicted by studying their individual parts in isolation. The reductionist approach, although successful in the early days of molecular biology, underestimates this complexity. As the amount of available data grows, so it will become increasingly important to be able to analyse and integrate these large data sets. This book introduces novel approaches and solutions to the Big Data problem in biomedicine, and presents new techniques in the field of graph theory for handling and processing multi-type large data sets. By discussing cutting-edge problems and techniques, researchers from a wide range of fields will be able to gain insights for exploiting big heterogonous data in the life sciences through the concept of ''network of networks''.Trade Review'… Networks of Networks in Biology should be of interest and a good introductory resource for molecular biologists, cell biologists, and biochemists, as well as bioinformaticians not yet acquainted with multilayer networks.' Ingo Brigandt, Quarterly Review of BiologyTable of ContentsPreface; Part I. Networks in Biology: 1. An Introduction to Biological Networks Nuria Planell, Xabier Martinez de Morentin and David Gomez-Cabrero; 2. Graph Theory Akram Dehnokhalaji and Nasim Nasrabadi; Part II. Network Analysis: 3. Structural Analysis of Biological Networks Narsis A. Kiani and Mikko Kivelä; 4. Networks From an Information-Theoretic and Algorithmic Complexity Perspective Hector Zenil and Narsis A. Kiani; 5. Integration and Feature Identification in Multi-layer Network using a Heat Diffusion Approach Gordon Ball and Jesper Tegnér; Part III. Multi-layer Networks: 6. Large Multiplex Networks Ginestra Bianconi; 7. Large Existing Tools for Analysis of Multilayer Networks Manlio De Domenico and Massimo Stella; 8. Large Dynamics on Multilayer Networks Manlio De Domenico and Massimo Stella; Part IV. Applications: 9. The Network of Networks Involved in Human Disease Celine Sin and Jörg Menche; 10. Towards a Multi-Layer Network Analysis of Disease: Challenges and Opportunities Through the Lens of Multiple Sclerosis Jesper Tegnér, Ingrid Kockum, Mika Gustafsson and David Gomez-Cabrero; 11. Microbiome: A Multi-Layer Network View Is Required Rodrigo Bacigalupe, Saeed Shoai and David Gomez-Cabrero; Part V. Conclusion : Concluding Remarks: Open Questions and Challenges Ginestra Bianconi, David Gomez-Cabrero, Jesper Tegnér and Narsis A. Kiani; Index.

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Book SynopsisPart I: Introduction to Biotechnology.- Historical Overview.- Part II: Biocatalyst Features.- Cell Morphology.- Cell Genetics.- Cell Metabolism.- Cell Operation.- Cell Stoichiometry.- Cell Engineering.- Cell Interaction. 

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Table of ContentsSection 1. Introduction to Translational BiotechnologySection 2. BiotherapeuticsSection 3. Pathway and Target DiscoverySection 4. Novel Therapeutic ModalitiesSection 5. Bioinformatics to BedsideSection 6. Systems Approach and Engineering BiologySection 7. Drug Discovery, Personalized and Precision MedicineSection 8. Socio-Economic Impact of Translational Biotechnology

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Table of Contents1. Basic Processes in Living Organisms 2. Fundamental Laws for Physical Fields and Mechanics 3. Smeared Finite Element Formulation 4. Convective and Diffusive Transport within Blood Vessels and Tissue 5. Heart Electrophysiology and Mechanics 6. Lung Models 7. Description of the Software Accompanying the book

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Table of Contents1. Introduction 2. Current Trends in Carbon dots Applications 3. Overview of Carbon Dot Synthesis 4. Synthesis of Carbon dots from Biomass Resources 5. Physical and Chemical Properties of Carbon Dots 6. Characterization of Carbon Dots for Optical Properties 7. Effect and Mechanism of Carbon dots in Photosynthesis and Plant system 8. Application of Carbon dots in Agriculture system 9. Comparative Studies on Carbon dots Application in Plant system 10. Role of Carbon Dots in Agriculture System: Biotechnology and Nanotechnology Approach 11. Post-harvest Applications of Carbon dots in Agriculture: Food Safety 12. Conclusions and Future Prospects

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Table of ContentsPart I. Microbial Bioremediation: An Introduction 1. Microbial Biotechnology: An Introduction 2. Bioremediation of Soil: An Overview 3. Microbial Interaction With Metals And Metalloids 4. Emerging Issues and Challenges for Microbe Assisted Remediation Part II. Microbes for Sustainable Agriculture and Green Remediation 5. Microbe-Mediated Biotic and Abiotic Stress Tolerance in Crop Plants 6. Promoting Crop Growth with Symbiotic Microbes in Agro-Ecosystems - I 7. Promoting Crop Growth with Symbiotic Microbes in Agro-Ecosystems - II 8. Plant Growth Promoting Rhizobacteria: An Alternative for NPK Fertilizers 9. Biochar and its Potential Use for Bioremediation of Contaminated Soils 10. Bioremediation with Biochar and its Microbial Aspects 11. Role of Biofilms in Bioremediation 12. Microalgal Adsorption of Carbon Dioxide (CO2): A Green Approach 13. Photosynthesis in Bioremediation 14. Lipase and Lactic Acid Bacteria for Biodegradation and Bioremediation 15. Unique Extremophillic Bacillus: Their Application in Plant Growth Promotion and Sustainable Agriculture 16. The Role of White Rot Fungi in Bioremediation 17. Biodiversity and Application of Native AM Fungal Species with Rhizobacteria on Growth and Yield Enhancements in Cowpea and Aromatic Black Rice from North Eastern India 18. Bacterial Retting Agents: Sustainable Bioremediation of Bast Fiber Farming Strains 19. Streptomyces Sp. – A Feasible Bio-Control Agent for Sustainable Management of Crop Diseases Part III. Emerging Contaminants and their Remediation 20. Microbial-Assisted Remediation of Food Processing Industry Waste 21. Role of Biosorption Technology in Removing Cadmium from Water and Soil 22. Role of Biosurfactants on Microbial Degradation of Oil-Contaminated Soils 23. Bio-Clogging and Microbial Enhanced Oil Recovery (MEOR) 24. Microbial Degradation of Phenolic Compounds 25. Microbial Biofilm-Mediated Bioremediation of Heavy Metals: A Sustainable Approach 26. Arsenic Accumulating and Transforming Bacteria: Isolation, Potential Use, Effects, and Transformation in Agricultural Soil 27. Microbial Remediation of Hexavalent Chromium from the Contaminated Soils 28. Microbial Bioremediation of Polythene and Plastics – A Green Sustainable Approach 29. Biodegradation of Microplastics and Synthetic Polymers in Agricultural Soils 30. Microalgae – A Promising Tool for Plastic Degradation 31. Emerging Issues and Challenges for Plastic Bioremediation 32. Usage of Microbes for the Degradation of Paint Contaminated Soil and Water 33. Microbial Degradation of Pharmaceuticals and Personal Care Products 34. Microbial Remediation of Mercury-Contaminated Soils 35. Mercury Pollution and Bioremediation by Microbes 36. Role of Bacterial Nanocellulose Polymer Composites on the Adsorption of Organic Dyes from Waste Water 37. Environmental Risk Assessment of Fluoride (F) Contaminated Soil on Prosopis Juliflora Seedlings using Biochemical and Molecular Parameters 38. Arsenic Toxicity and its Clinical Manifestations in Murshidabad District with Some Potential Remedial Measures 39. Application of Deinococcus radiodurans for Bioremediation of Radioactive Wastes 40. Microbial Bioremediation and Biodegradation of Radioactive Waste Contaminated Sites Part IV. Recent Trends and Tools 41. New Insights of Cellulosic Ethanol Production from Lignocellulosic Feedstocks 42. Mycorrhizal Product Glomalin: A Proficient Agent of Nutrient Sequestration And Soil Fertility Restoration under Jeopardized Agroecosystem 43. Microbial Quorum Sensing Systems: New and Emerging Trends of Biotechnology in Bioremediation 44. Metagenomics – A Genomic Tool For Monitoring Microbial Communities During Bioremediation 45. Nanobioremediation: A Novel Application of Green-Nanotechnology in Environmental Clean-Up 46. Nanotechnology and Green Nano-Synthesis for Nano-Bioremediation

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Table of Contents1. Semantic Modelling for Healthcare Applications: An Introduction 2. Role of IoT and semantics in Ehealth 3. Evaluation and Visualization of Healthcare Semantic Models 4. Role of Connected objects in Healthcare Semantic Models 5. The Security and Privacy Aspects in Semantic Web enabled IoT based Healthcare Information Systems 6. Knowledge-based System as a Context-aware Approach for the Internet of Medical Connected Objects 7. Towards a Knowledge Graph for Medical Diagnosis: Issues and Usage Scenarios 8. A Naturopathy Knowledge Graph and Recommendation System to Boost the Immune System 9. SAREF4EHAW-Compliant Knowledge Discovery and Reasoning \\for IoT-based Preventive Healthcare and Well-Being 10. Reasoning Over Personalized Healthcare Knowledge Graph: A Case Study of Patients with Allergies and Symptoms 11. Integrated Context-aware Ontology for MNCH Decision Support 12. IntelliOntoRec: A Knowledge Infused Semiautomatic Approach for Ontology Formulation in Healthcare and Medical Science

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Table of Contents1. Data mining with deep learning in biomedical data 2. Applications of supervised machine learning techniques with the goal of medical analysis and prediction: a case study of breast cancer 3. Medical decision support system using data mining 4. Role of AI techniques in enhancing multi-modality medical image fusion results 5. A comparative performance analysis of backpropagation training optimizers to estimate clinical gait mechanics 6. High-performance medicine in cognitive impairment: Brain-computer interfacing for prodromal Alzheimer’s disease 7. Machine learning in healthcare: Brain tumor classifications by gradient and XG boosting models 8. Biofeedback method for human-computer interaction to improve elder caring: Eye gaze tracking 9. Blood screening parameters prediction for preliminary analysis using neural networks 10. Classification of hypertension using the improved unsupervised learning technique and image processing 11. Biomedical data visualization and clinical decision-making in rodents using a multi-usage wireless brain stimulator using novel embedded design 12. LSTM neural network-based classification of sensory signals for healthy and unhealthy gait assessment 13. Addressing challenges and roadblocks in iomedical data using data-driven machine learning 14. Multibjective evolutionary algorithm based on decomposition for feature selection in medical diagnosis 15. Machine learning techniques in healthcare informatics: Showcasing prediction of type 2 diabetes mellitus disease using lifestyle data

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Table of Contents1. Molecular interactions for protein folding 2. Modeling and simulation of peptides 3. Solid phase peptide synthesis 4. Peptide-based antibiotics 5. Cell-penetrating peptides 6. Peptide-based nanomaterials: applications and challenges 7. Peptide nanocatalystes 8. Bioinspired functional molecular constructs 9. Patents in peptide science

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Book SynopsisThis volume will be the only existing single-authored book offering a science-based breeder''s manual directed at breeding for water-limited environments. Plant breeding is characterized by the need to integrate information from diverse disciplines towards the development and delivery of a product defines as a new cultivar. Conventional breeding draws information from disciplines such as genetics, plant physiology, plant pathology, entomology, food technology and statistics. Plant breeding for water-limited environments and the development of drought resistant crop cultivars is considered as one of the more difficult areas in plant breeding while at the same time it is becoming a very pressing issue. This volume is unique and timely in that it develops realistic solutions and protocols towards the breeding of drought resistant cultivars by integrating knowledge from environmental science, plant physiology, genetics and molecular biology.Table of ContentsTABLE OF CONTENTS Preface 1. The Moisture Environment 1.1. The Palmer drought index 1.2. The crop moisture index 1.3. The conventions of crop water use 2. Plant Water Relations, Plant Stress and Plant Production 2.1. The initiation of plant water deficit 2.2. The soil-plant-atmosphere continuum (SPAC) 2.2.1. The albedo 2.2.2. The water flux 2.2.3. Root resistance 2.2.4. Stem resistance 2.2.5. Leaf resistance (excluding stomata and cuticle) 2.2.6. Stomatal resistance 2.2.7. Cuticular resistance 2.3. Plant size and the development of water deficit 2.4. Plant water status and plant stress 2.4.1. Osmotic adjustment (OA) 2.4.2. Abscisic acid (ABA) 2.5. Growth and water deficit 2.6. Root growth under drought stress 2.7. The formation of yield and drought stress 3. Drought Resistance and its Improvement 3.1. Genetic gains achieved in plant breeding for drought resistance 3.2. Genomics and breeding for drought resistance 3.2.1. Gene expression and gene discovery 3.2.2. Marker-assisted selection (MAS) for drought resistance 3.2.3. Transgenic plants 3.3. Drought resistance in terms of yield 3.3.1. Drought resistance and yield potential: the crossover interaction 3.3.2. The heritability of yield and drought stress 3.3.3. QTLs and yield under drought stress 3.4. Drought resistance in terms of physiology 3.4.1. The disease resistance analogy 3.4.2. The components of drought resistance 3.5. Water-use efficiency (WUE) 3.5.1. Effective use of water (EUW) and not WUE is the important driver of yield under drought stress 3.6. Summary of plant constitutive traits controlling drought resistance 3.7. The drought resistant ideotype 3.7.1. The ideotype with respect to drought stress scenarios 3.7.2. The ideotype with respect to timing of stress 4. Phenotyping and Selection 4.1. The managed stress environment 4.1.1. Site homogeneity 4.1.2. Experiment station faults 4.1.3. Controlling the water regime 4.1.4. Controlling the severity and timing of stress in the field 4.1.5. Managed drought in protected environments 4.2. Protocols for drought resistance 4.2.1. Plant growth and productivity 4.2.2. Plant water status – the expression of dehydration avoidance 4.2.3. Dehydration tolerance 4.3. High throughput commercial phenotyping service 5. Genetic Resources for Drought Resistance 5.1. Cultivated germplasm 5.2. Landraces 5.3. Wild species and crop plant progenitors 5.4. Drought resistant transgenic plants 5.5. Resurrection plants 6. Breeding Considerations and Strategies 7. Epilogue

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Book SynopsisThese are the proceedings of the International Conference on ISMAC-CVB, held in Palladam, India, in May 2018. The book focuses on research to design new analysis paradigms and computational solutions for quantification of information provided by object recognition, scene understanding of computer vision and different algorithms like convolutional neural networks to allow computers to recognize and detect objects in images with unprecedented accuracy and to even understand the relationships between them.The proceedings treat the convergence of ISMAC in Computational Vision and Bioengineering technology and includes ideas and techniques like 3D sensing, human visual perception, scene understanding, human motion detection and analysis, visualization and graphical data presentation and a very wide range of sensor modalities in terms of surveillance, wearable applications, home automation etc.ISMAC-CVB is a forum for leading academic scientists, researchers and research scholars to exchange and share their experiences and research results about all aspects of computational vision and bioengineering.Table of ContentsChapter 1. Digital Image Watermarking using Sine Transformation Technique.- Chapter 2. A Review on Protein Structure Classification.- Chapter 3. Motion Detection Algorithm for Surveillance Videos.- Chapter 4. 6D Pose Estimation of 3D Objects in Scenes with Mutual Similarities and Occlusions .- Chapter 5. A Simple and Enhanced Low-Light Image Enhancement Process Using Effective Illumination Mapping Approach.- Chapter 6. Comparison of Particle Swarm Optimization and Weighted Artificial Bee Colony Techniques in Classification of Dementia Using MRI Images.- Chapter 7. Automatic Segmentation of Malaria Affected Erythrocyte in Thin Blood Films.- Chapter 8. Enhanced Portable Customer Experience Using Community Computation in Offline Retail.- Chapter 9. Detection and Recognition Of Vehicle Using Principal Component Analysis.- Chapter 10. Convolution Neural Networks: A Case Study on Brain Tumor Segmentation in Medical Care.- Chapter 11. Vision based algorithm for fire detection in smart buildings.- Chapter 12. Comparative performance analysis of local feature descriptors for biomedical image retrieval.- Chapter 13. Emotion Analysis Through EEG & Peripheral Physiological Signals Using KNN Classifier.- Chapter 14. Detection Of Liver Tumor Using Gradient Vector Flow Algorithm.- Chapter 15. Hyperspectral Image Classification using Semisupervised Random Forest.- Chapter 16. Clustering of various parameters to catalog human bone disorders through soft computing simulation.- Chapter 17. IoT Based Embedded Smart Lock Control using Face Recognition System.- Chapter 18. MediCloud: Cloud-based solution to patient’s medical records.- Chapter 19. A Trio Approach Satisfying CIA Triad for Medical Image Security.- Chapter 20. A Novel Hybrid Method for Time Series Forecasting Using Soft Computing Approach.- Chapter 21. Medical Image Classification Using MRI: An Investigation.- Chapter 22. Tumor Detection and Analysis using Improved Fuzzy C-Means Algorithm.- Chapter 23. MediCloud: Cloud-based solution to patient’s medical records.- Chapter 24. Enhancement of Optical Coherence Tomography Images: An Iterative Approach Using Various Filters.- Chapter 25. An o.- Chapter 26. the Shelf CNN Features based approach for Vehicle Classication using Acoustics.- Chapter 27. Conjunctival Vasculature liveness detection based on DCT Features.- Chapter 28. Unusual Social Event Detection by Analyzing Call Data Records.- Chapter 29. Long Short Term Memory based Recurrent Neural Network approach for intrusion detection.- Chapter 30. Drunk Driving and Drowsiness Detection Alert System.- Chapter 31. A Survey on Intelligent Face Recognition System.- Chapter 32. Real Time Health Monitoring System Implemented on a Bicycle.- Chapter 33. A Fuzzy Rule based Diagnosis of Parkinson’s Disease.- Chapter 34. A Comprehensive Study of Retinal Vessel Classifica-tion Methods in Fundus Images for detection of Hyper-tensive Retinopathy and Cardiovascular diseases.- Chapter 35. Estimation of parameters to model a fabric in a way to identify defects.- Chapter 36. Hybrid Method For Copy-Move Forgery Detection In Digital Images.- Chapter 37. Error Detection Technique For A Median Filter Using Denoising Algorithm.- Chapter 38. Retinal Image Processing and Classification using Convolutional Neural Networks.- Chapter 39. Comparison of Thermography and 3D Mammography Screening and Classification Techniques for Breast Cancer.- Chapter 40. IEFA- A Fuzzy Framework for Image Enrichment.- Chapter 41. Hidden Markov Random Field and Gaussian Mixture Model based Hidden Markov Random Field for Contour Labelling of Exudates in Diabetic Retinopathy-A Comparitive Study.- Chapter 42. AUGEN: An Ocular Support for Visually Impaired Using Deep Learning.- Chapter 43. A Novel Flight Controller Interface for Vision Guided Autonomous Drone.- Chapter 44. Sliding Discrete Fourier Transform for 2D Signal Processing.- Chapter 45. Automated Lung Nodules And Ground Glass Opacity Nodules Detection And Classification From Computed Tomography Images.- Chapter 46. Detection Of Static And Dynamic Abnormal Activities In Crowded Areas Using Hybrid Clustering.- Chapter 47. Gait Recognition using Normal Distance Map and Sparse Multilinear Laplacian Discriminant Analysis.- Chapter 48. A Review – Edge Detection Techniques in Dental Images.- Chapter 49. Detection of Exudates and Removal of Optic Disc in Fundus Images Using Genetic Algorithm.- Chapter 50. Analysis of Feature Ranking Methods on X-ray Images.- Chapter 51. Salient Object Detection for Synthetic Dataset.- Chapter 52. Atherosclerotic Plaque Detection Using Intra-Vascular Ultrasound (IVUS) Images..- Chapter 53. Correlative Feature Selection for Multimodal Medical Image Fusion through QWT.- Chapter 54. A Two Stage Validation Approach for Early Detection of Proliferative Diabetic Retinopathy in Neovascularization at the Disc by Observing Retinal Vascular Structure.- Chapter 55. Finding Center of Optic Disc from Fundus Images for Image Characterization and Analysis.- Chapter 56. A Robust Method for Image Copy Move Passive Forgery Detection with Enhanced Speed.- Chapter 57. Detection of Objects and Evaluation with The IO Link Using Miniature Laser Sensor -A Review.- Chapter 58. Development of Medical Image Segmentation Algorithms using Deformable Models.- Chapter 59. Feature Extraction and Classification of Epileptic EEG signals using Wavelet transforms and Artificial Neural Networks.- Chapter 60. 3D Printed Surgical Guides in Orthoganthic Surgery- A Pathway to Positive Surgical Outcomes.- Chapter 61. Image-Based Method for Analysis of Root Canal Geometry.- Chapter 62. Analysis of Explicit Parallelism of Image Pre-Processing Algorithms A Case Study .- Chapter 63. A Comprehensive Study on Character Segmentation.- Chapter 64. Framework For Image Forgery Detection And Classification Using Machine Learning.- Chapter 65. EZW, SPIHT and WDR Methods for CT Scan and X-Ray Images Compression Applications.- Chapter 66. Human Identification based on Ear Image Contour and it’s Properties.- Chapter 67. Defocus Map Based Segmentation of Automotive Vehicles.- Chapter 68. Multi-Insight Monocular Vision System using a Refractive Projection Model.- Chapter 69. Comparative Study and Analysis of Pulse Rate Measurement by Vowel Speech and EVM.- Chapter 70. ONESTOP:A Tool for Performing Generic Operations With Visual Support.- Chapter 71. Performance evaluation of DCT, DWT and SPIHT techniques for Medical Image Compression.- Chapter 72. Structural Health Monitoring –An Integrated Approach for Vibration Analysis with Wireless Sensors to Steel Structure using Image Processing.- Chapter 73. An Improved image pre-processing method for concrete crack detection.- Chapter 74. Grape crop disease classification using transfer learning approach.- Chapter 75. Exploring Image Classification of Thyroid Ultrasound Images using Deep Learning.- Chapter 76. Medical Applications of Additive Manufacturing.- Chapter 77. A Study on Comparative Analysis of Automated and Semi automated Segmentation Techniques on Knee Osteoarthritis X-Ray Radiographs.- Chapter 78. Plant Disease Detection Based on Region Based Segmentation and KNN Classifier.- Chapter 79. Analyzing e-CALLISTO Images: Sunspot Number, 10.7 cm Flux and Radio Solar Bursts.- Chapter 80. Real Time Input Text Recognition System For The Aid Of Visually Impaired.- Chapter 81. A homogenous prototype design for IED detection using subsurface Ground Penetrating RADAR.- Chapter 82. A study on various Deep Learning Algorithms to diagnose Alzheimer’s disease.- Chapter 83. Performance Analysis of Image Enhancement Techniques for Mammogram Images.- Chapter 84. A Study on Preprocessing Techniques for Ultra Sound Images of Carotid Artery.- Chapter 85. Fractional Reaction Diffusion Model for Parkinson’s Disease.- Chapter 86. Analysis Of A Novel Algorithm For Steganography Using Openexr Image As Cover.- Chapter 87. Prediction-based Lossless Image Compression.- Chapter 88. Audio and Video Streaming in Telepresence application using WebRTC for Healthcare System.- Chapter 89. Review on Image Segmentation Techniques Incorporated with Machine Learning in the Scrutinization of Leukemic Microscopic Stained Blood Smear Images.- Chapter 90. Detection of Gaze Direction for Human-Computer Interaction.- Chapter 91. Compromising Cloud Security and Privacy by DOS, DDOS, Botnet Attacks and their countermeasures.- Chapter 92. Road Detection by Boundary Extraction Technique and Hough Transform.- Chapter 93. Investigating the Impact of Various Feature Selection Techniques on the Attributes used in the Diagnosis of Alzheimer’s Disease.- Chapter 94. Detection Of Sleep Apnea Based On Hrv Analysis Of Ecg Signal.- Chapter 95. Performance Comparison of SVM Classifier based on Kernel Functions in Colposcopic image Segmentation for Cervical Cancer.- Chapter 96. GPU based Denoising Filter for Knee MRI.- Chapter 97. Performance Evaluation of Audio Watermarking Algorithms using DWT and LFSR.- Chapter 98. Biometric Image Encryption Algorithm Based on Modified Rubik’s Cube Principle .- Chapter 99. A Comprehensive Study on Character Segmentation.- Chapter 100. Leaf Disease Detection Based On Machine Learning.- Chapter 101. Cross Domain Recommendation System using Ontology and Sequential Pattern Mining.- Chapter 102. A New Automated Medicine Prescription System for Plant Diseases.- Chapter 103. Identifying the risk factors for Diabetic Retinopathy using Decision Tree.- Chapter 104. Logarithmic Transform based Digital Watermarking Scheme.- Chapter 105. A comparative assessment of segmentations on skin lesion through various entropy and six sigma thresholds.- Chapter 106. Impact of Speckle Filtering on the Decomposition and Classification of Fully Polarimetric RADARSAT-2 Data.- Chapter 107. Estimation of Precipitation from the Doppler Weather Radar Images.- Chapter 108. Text Independent Handwriting Classification using Line and Texture Based Features.- Chapter 109. An Unified Pre-Processing Technique for Enhancement of Degraded Document Images.- Chapter 110. An efficient classifier for P300 in Brain Computer-Interface based on scalar products.- Chapter 111. Detection of Weed Using Visual Attention Model and SVM Classifier.- Chapter 112. Design and Development of Scalable IoT Framework for Healthcare Application.- Chapter 113. Use of Data Mining Technique for prediction of Crop yield in the face of Climate Change.- Chapter 114. Template Based Video Search Engine.- Chapter 115. A Survey of Medical Imaging, Storage and Transfer Techniques.- Chapter 116. Gray Level feature based approach for correspondence matching and elimination of false matches.- Chapter 117. A New Approach for Image Compressiion Usiing Effffiiciientt Codiing Techniique and BPN for Mediicall Images.- Chapter 118. Person Identification Using Iris Recognition: CVPR_IRIS Database.- Chapter 119. Fusion based Segmentation Technique for Improving the Diagnosis of MRI Brain Tumor in CAD Applications.- Chapter 120. Identification of cyst present in ultrasound PCOS using Discrete wavelet transform.- Chapter 121. Design and Development of Image Retrieval in Documents Using Journal Logo Matching.- Chapter 122. Feature enhancement of multispectral images Using vegetation, water, and soil Indices Image Fusion.- Chapter 123. Detection of Heart Abnormalities and High Level Cholesterol through Iris.- Chapter 124. Wavelet Based Convolutional Recurrent Neural Network for the automatic detection of absence seizure.- Chapter 125. New Random Noise Denoising Method for Bio Medical Image Processing Applications.- Chapter 126. Majority Voting Algorithm for Diagnosing of Imbalanced Malaria Disease.- Chapter 127. Importance of LEDs Placing and uniformity: Phototherapy treatment used for Neonatal Hyperbilirubinemia.- Chapter 128. Efficient Image Dehazing using Improved Depth Estimation and Color Analysis.- Chapter 129. Automated Glaucoma Detection using global statistical parameters of retina fundus images.- Chapter 130. Enhanced Techniques To Secure Medical Image And Data Transit.- Chapter 131. A spectral approach for segmentation and deformation estimation in point cloud using shape descriptors.- Chapter 132. A Study on Firefly Algorithm for Breast Cancer Classification.- Chapter 133. Fuzzy c-Means Clustering and Gaussian Mixture Model for Epilepsy Classification from EEG.- Chapter 134. Analysis on Detection of Chronic Alcoholics from EEG Signal Segments.- Chapter 135. A System For Plant Disease Classification And Severity Estimation Using Machine Learning Techniques.- Chapter 136. A Clinical Data Analytic Metric for Medical Ontology using Semantic Similarity.- Chapter 137. Automatic Detection of Malaria Parasites Using Unsupervised Techniques.- Chapter 138. True color image Compression and Decompression using Fusion of three level Discrete Wavelet Transform –Discrete Cosine Transforms and Arithmetic Coding Technique.- Chapter 139. Application of Neural Networks in Image Processing.- Chapter 140. Region of Interest (ROI) Based Image Encryption with Sine Map and Lorenz System.- Chapter 141. Chaos Based Color Image Encryption with DNA Operations.- Chapter 142. A Lucrative sensor for counting in the Limousine.- Chapter 143. Energy Expenditure Calculation With Physical Activity Recognition Using Genetic Algorithms.- Chapter 144. Improved Intrinsic Image Decomposition Technique for Image Contrast Enhancement using Back Propagation Algorithm.- Chapter 145. Low-Power High-Speed Hybrid Multiplier Architectures for Image Processing Applications.- Chapter 146. Intervertebral disc classification using Deep learning technique.- Chapter 147. Thermal Image Segmentation of Facial Thermograms Using K-Means Algorithm in Evaluation of Orofacial Pain.- Chapter 148. Study on Different Region based Object Detection Models Applied to Live Video Stream and Images Using Deep Learning.- Chapter 149. Analysis of Web Workload on Qos to Assist Capacity.- Chapter 150. Content Based Image Retrieval Using Hybrid Feature Extraction Techniques.- Chapter 151. Review of Feature Extraction and Matching methods for Drone image Stitching.- Chapter 152. An ANN-Based Detection of Obstructive Sleep Apnea from Simultaneous ECG and SpO2 Recordings.- Chapter 153. Design of an Image Skeletonization based Algorithm for Overcrowd Detection in Smart Building.- Chapter 154. Performance Comparison of Pre-trained Deep Neural Networks for Automated Glaucoma Detection.- Chapter 155. Performance Comparison of Pre-trained Deep Neural Networks for Automated Glaucoma Detection.- Chapter 156. Investigation on Land Cover Mapping of Large RS Imagery using Fuzzy based Maximum Likelihood Classifier.- Chapter 157. Gaussian Membership Function and Type II Fuzzy Sets based Approach for Edge Enhancement of Malaria Parasites in Microscopic Blood Images.- Chapter 158. Implementation of virtual Trial Room for Shopping Websites using Image Processing.- Chapter 159. Digital Video Copy Detection using Steganography Frame based Fusion Techniques.- Chapter 160. Response Analysis of Eulerian Video Magnification.- Chapter 161. Face Authentication and IOT based Automobile Security and Driver Surveilance System.- Chapter 162. Highly Repeatable Feature Point Detection in Images using Laplacian Graph Centrality.- Chapter 163. A Survey on Face Recognition in Video Surveillance.- Chapter 164. Driver’s Drowsiness Detection Using Image Processing.- Chapter 165. Identification of Optimum Image Capturing Technique for Corneal Segmentation – A survey.- Chapter 166. Hybrid SIFT Feature Extraction Approach For Indian Sign Language Recognition System Based on CNN.- Chapter 167. A Contemporary Framework and Novel Method for Segmentation of Brain MRI.- Chapter 168. Anatomical Segmentation of Human Brain MRI using Morphological Masks.- Chapter 169. Digital Image Restoration using NL Means with Robust Edge Preservation Technique.- Chapter 170. Color Image Encryption: A New Public Key Cryptosystem based on Polynomial Equation.- Chapter 171. Speech Recognition using Novel Diatonic Frequency Cepstral Coefficients and Hybrid Neuro Fuzzy Classifier.- Chapter 172. Secure Location Distribution on Mobile Device For Private Meeting.- Chapter 173. Performance analysis of Fuzzy Rough assisted classification and segmentation of Paper ECG using mutual information and dependency metric.- Chapter 174. Segmentation for Hippocampus in AD using Region Growing and Level set.- Chapter 175. A Mixed Reality Workspace using Telepresence System.- Chapter 176. Detection Of Static And Dynamic Abnormal Activities In Crowded Areas Using Hybrid Clustering.- Chapter 177. Scaled conjugate gradient algorithm and SVM for Iris Liveness Detection.- Chapter 178. Long Short Term Memory based Recurrent Neural Network approach for intrusion detection.- Chapter 179. An Exploration Of The Image Processing Techniques For The Detection Of Leukemia.- Chapter 180. Video Frame Interpolation Using Deep Convolutional Neural Network.- Chapter 181. Thermal imaging of abdomen in evaluation of obesity: A comparison with Body composition analyzer-A Preliminary study.- Chapter 182. Sentimental Analysis of Twitter Data Using Big Data Tools and Hadoop Ecosystem.- Chapter 183. A Study On Optic Disc Localization Methods In Retinal Images.- Chapter 184. Detection of Chemically Ripened Fruits Based on Visual Features and Non-Destructive Sensor Techniques.- Chapter 185. Dynamic Object Indexing Technique For Distortionless Video Synopsis.- Chapter 186. An Intrusion Detection and Prevention System Using AIS-An NK Cell-Based Approach.- Chapter 187. HORBoVF – A Novel 3-Level Image Classifier Using Histogram, ORB and Dynamic Bag of Visual Features.- Chapter 188. Neural Network based Image Registration Using Synthetic Reference Image Rotation.- Chapter 189. Design and Development of Efficient Algorithms for IRIS Recognition System for Different Unconstrained Environments.- Chapter 190. Relation Extraction using Convolutional Neural Networks.- Chapter 191. Multi-Object detection using modified GMM based background subtraction technique.

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Book SynopsisThis textbook presents solid tools for in silico engineering biology, offering students a step-by-step guide to mastering the smart design of metabolic pathways. The first part explains the Design-Build-Test-Learn-cycle engineering approach to biology, discussing the basic tools to model biological and chemistry-based systems. Using these basic tools, the second part focuses on various computational protocols for metabolic pathway design, from enzyme selection to pathway discovery and enumeration. In the context of industrial biotechnology, the final part helps readers understand the challenges of scaling up and optimisation. By working with the free programming language Scientific Python, this book provides easily accessible tools for studying and learning the principles of modern in silico metabolic pathway design. Intended for advanced undergraduates and master’s students in biotechnology, biomedical engineering, bioinformatics and systems biology students, the introductory sections make it also useful for beginners wanting to learn the basics of scientific coding and find real-world, hands-on examples.Table of Contents1. Introduction to engineering biology 1.1. The engineering waves of biology: genetic, genomics, systems and synthetic 1.2. Industrial biotechnology in revolutions 1.3. The present: Design-Build-Test-Learn foundries 1.4. The future: automation, cloud biotechnology and artificial intelligence 2. Understanding the cell: genome-scale engineering 2.1. Systems biology models 2.2. Model reconstruction from omics to big data 2.3. Model simulation through constraint-based approaches 2.4. Modeling dynamics 3. Sources of natural chemical diversity 3.1. Understanding the mechanisms of enzyme innovation and adaptation 3.2. Knowledge-based encodings for chemical reactions 3.3. Modeling enzyme promiscuity using reaction rules and molecular signatures 3.4. Enumerating chemical diversity 4. Enzyme discovery and selection 4.1. Discovery through sequence homology 4.2. Discovery through reaction homology 4.3. Screening and selection through directed evolution 5. The metabolic space 5.1. Metabolic phenotypes 5.2. The metabolic spaces of the biosphere 5.3. Extended, non-natural and outer metabolic spaces 6. Pathway discovery 6.1. Defining chemical targets 6.2. Retrosynthetic analysis of the metabolic scope 6.3. Pathway enumeration 6.4. Pathway ranking 7. Pathway design 7.1. Pathway selection 7.2. Enzyme selection 7.3. Genetic parts selection 7.4. Combinatorial design 7.5. Experimental design 8. Chassis redesign 8.1. Knock-outs 8.2. Knock-ins 8.3. Knowledge-based redesign 9. Learning and adaptation 9.1. Principles of machine learning 9.2. Deep learning 9.3. Smart parts selection 9.4. Smart experimental redesign 10. Scaling-up and derivatization 10.1. Scale-up 10.2 Derivatization 10.3 Agile biodesign

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Book SynopsisThis book explores major bioethical issues emerging from the development and use of artificial intelligence in medical settings. The authors start by defining the past, present and future of artificial intelligence in medical settings and then proceed to address the resulting common and specific bioethical inquiries. The book discusses bioethical inquiries in two separate sets. The first set is comprised of ontological discussions mainly focusing on personhood and being an ethical agent of an artefact. The second set discusses bioethical issues resulting from the use of artificial intelligence. It focuses particularly on the area of artificial intelligence use in medicine and health services. It addresses the main challenges by considering fundamental principles of medical ethics, including confidentiality, privacy, compassion, veracity and fidelity. Finally, the authors discuss the ethical implications of involvement of artificial intelligence agents in patient care by expanding on communication skills in a case-based approach. The book is of great interest to ethicists, medical professionals, academicians, engineers and scientists working with artificial intelligence.Table of Contents1. Introduction.- 2. What is Artificial Intelligence?.- 2.1. Definitions.- 2.2. History.- 2.3. State of play and future prospects.- 3. Bioethical inquiries about artificial intelligence.- 3.1. Bioethical issues common to weak and strong artificial intelligence.- 3.2. Bioethical issues resulting from strong artificial intelligence.- 3.2.1. Ontological discussions.- 3.2.2. Consequential discussions.- 4. Medicine and artificial intelligence.- 4.1. Use of artificial in health services.- 4.2. Main challenges in medical ethics.- 4.2.1. Confidentiality and privacy.- 4.2.2. Compassion, veracity and fidelity.- 4.2.3. Communication skills and case based approach.- 5. Conclusion.

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Book SynopsisThis textbook shall introduce the students to 3D cell culture approaches and applications. An overview on existing techniques and equipment is provided and insight into various aspects and challenges that researchers need to consider and face during culture of 3D cells is given. The reader will learn the importance of physiological cell, tissue and organ models and gains important knowledge on 3D analytics. This textbook deepens selected aspects of the textbook “Cell Culture Technology”, which also is published in this series, while offering extended insight into 3D cell culture. The concept of the textbook encompasses various lectures ranging from basics in cell cultivation, tissue engineering, biomaterials and biocompatibility, in vitro test systems and regenerative medicine. The textbook addresses Master- and PhD students interested and/or working in the field of modern cell culture applications and will support the understanding of the essential strategies in 3D cell culture and waken awareness for the potentials and challenges of this application.Table of ContentsChapter 1. Introduction to 3D cell culture.- Chapter 2. Lab equipment for 3D cell culture.- Chapter 3. A view from the cellular perspective.- Chapter 4. Biological, natural and synthetic 3D matrices.- Chapter 5. Hydrogels for 3D cell culture.- Chapter 6. Vascularization in 3D cell culture.- Chapter 7. Application of scaffold-free 3D models.- Chapter 8. 10. Microfluidic Systems and Organ (Human) on a Chip.- Chapter 9. 3D-Bioprinting.- Chapter 10. Non-destructive and label-free monitoring of 3D cell constructs.

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Book SynopsisThis book is a comprehensive guide to 3D printing and 3D bioprinting methods and their application in oral and maxillofacial surgeries. Among the 3D printing methods considered are fused deposition modeling, selective laser sintering, photopolymer jetting, powder binder printing, and stereolithography, while the coverage of 3D bioprinting encompasses inkjet, microextrusion, and laser techniques. In each case, the relevance of the technique to oral and maxillofacial surgery is explained. In addition, the available inks and bioinks for 3D printing are reviewed. The roles of soft and hard tissue printing in oral and maxillofacial tissue engineering and the use of 3D printing in multi- and interfacial tissue engineering are then examined in depth. The particular value of 3D printing in the treatment of critically sized defects is discussed separately. Finally, up-to-date information is provided on guided tissue/bone regeneration using 3D printing. The book will be of interest to both oral and maxillofacial surgeons and biomedical engineers.Table of ContentsChapter 1) Introduction to 3D-printing in Oral and Maxillofacial Surgery.- Chapter 2) 3D-Printing Methods Applicable in Oral and Maxillofacial Surgery.- Chapter 3) 3D-Bioprinting in Oral and Maxillofacial Surgery.- Chapter 4) 3D-Printed Medical Modeling for Oral and Maxillofacial Surgeries.- Chapter 5) Application of 3D-Printing in Production of Dental Instruments.- Chapter 6) 3D-Printing in Treatment of Soft, Hard, and Critical-Sized Oral and Maxillofacial Tissue Defects.- Chapter 7) Application of 3D-Printing in Reconstruction of Oral and Maxillofacial Multi- and Interfacial Tissue Defects.

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Book SynopsisBacterial reporters are live, genetically engineered cells with promising application in bioanalytics. They contain genetic circuitry to produce a cellular sensing element, which detects the target compound and relays the detection to specific synthesis of so-called reporter proteins (the presence or activity of which is easy to quantify). Bioassays with bacterial reporters are a useful complement to chemical analytics because they measure biological responses rather than total chemical concentrations. Simple bacterial reporter assays may also replace more costly chemical methods as a first line sample analysis technique. Recent promising developments integrate bacterial reporter cells with microsystems to produce bacterial biosensors. This lecture presents an in-depth treatment of the synthetic biological design principles of bacterial reporters, the engineering of which started as simple recombinant DNA puzzles, but has now become a more rational approach of choosing and combining sensing, controlling and reporting DNA 'parts'. Several examples of existing bacterial reporter designs and their genetic circuitry will be illustrated. Besides the design principles, the lecture also focuses on the application principles of bacterial reporter assays. A variety of assay formats will be illustrated, and principles of quantification will be dealt with. In addition to this discussion, substantial reference material is supplied in various Annexes. Table of Contents: Short History of the use of Bacteria for Biosensing and Bioreporting / Genetic Engineering Concepts / Measuring with Bioreporters / EpilogueTable of ContentsShort History of the use of Bacteria for Biosensing and Bioreporting.- Genetic Engineering Concepts.- Measuring with Bioreporters.- Epilogue.

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Book SynopsisJohn Fetzer’s "Career Management for Chemists" provides ample, common-sense guidance on the key topics such as: Resumés and CVs, Staying Driven & Current, Personal Skills & Traits Networking, Teamwork & Leadership, Speaking & Listening Writing Research Papers, Mentoring, Behavior & Rewards The practical coverage reflects not only his long professional experience but also his insight that, especially in today’s changing workplace, expectations and strategies for career management require constant re-evaluation. Provides real, common-sense, and proven means to enrich and make more rewarding a technical career. Pre-publication comments from colleagues - "Not only the student who is taking his first steps in the scientific world would profit abundantly by mining this book for views and ideas on the different sides of his chosen career. Also the seasoned scientist will be stimulated to scrutinize his own habits and pick up new thoughts, thereby becoming a more skilled instructor of his younger colleagues." J. Andersson, University of Münster, Germany "As one of the international collaborators of Dr. John Fetzer, I want to warmly congratulate him. His efforts nicely summarize very important topics for all who work in scientific activities. But, at the same time, Career Management for Chemists also provides some real insights for many people who are not working in science. This is a nice guidebook on how to enrich our lives and help us to become more successful!! K. Jinno, Toyohashi University of Technology Trade ReviewFrom the reviews: This book has an incredibly broad scope and looks at both technical and non-technical areas, from keeping research records to dealing with difficult people. It is steeped in chemical terminology and anecdotes based on situations common to chemists, and so brings something fresh to the area. Fetzer himself stresses in the introduction that everyone works for themselves and that you can’t rely on anyone else to control or shape your career. Having established this essential truth, Fetzer shares his many years of experience in a style that is reassuring and supportive. Although more experienced chemists may find many of his points veer towards the ‘obvious’, younger scientists will find his insights on aspects such as conferences, collaboration and publishing invaluable in helping them understand how to be effective and have impact in the scientific community. For me, the book’s real strength lies in these sections, with it acting as a virtual mentor, sharing experiences and advice. The scope of the book is such that the individual topics can only be covered briefly, but as an experienced columnist, Fetzer captures the key points, which for most readers is all that is required. For example, scientists who are keen to develop their careers towards a management role will find the sections on dealing with others and working in and leading teams offer a practical summary of many management theories. The comprehensive bibliography points those interested to further information. ...The advice offered is universal and relevant to chemistry careers in the UK and internationally. I feel this book will have most value to chemists at the start of their careers as it distils many years on experience into straightforward tips on being an effective scientist. However, anyone seeking guidance or support for their professional life will find much of value in Fetzer’s encouraging and constructive book. Sara Shinton, Chemistry World, Vol. 1, No. 12, December 2004 "Career Management for Chemists provides ample, common-sense guidance on the key topics such as resumes and CVs, staying driven and current, personal skills and traits networking, teamwork and leadership, speaking and listening, writing research papers, behavior and rewards. … reflects not only his long professional experience but also his insight that, especially in today’s changing workplace, expectations and strategies for career management require constant reevaluation." (cpp 2005, Issue no. 2, 2005) "A useful handbook for chemists at all levels and at all career stages. … Not only are the chosen topics thought-provoking … but consideration of such would be advantageous for any scientist to keep in mind while journeying through the years of a career. … None of the career management books offers the combination of topics that Fetzer does, with the emphasis on one’s career as a journey … . would be useful for recent graduates … ." (Mary B. Satterfield, Analytical and Bioanalytical Chemistry, March, 2005) "John Feltzer believes that to be a good scientist one needs more than just good technical knowledge and research skills. … He explains how to achieve in technical area by keeping on learning; being part of a scientific community; writing and reviewing for journals; diversifying etc." (Book News on the Internet, January, 2005) "This is generally an almost exclusive view of the USA experience of science employment. … Finding mentors (or being a mentor), how to deal with negative situations, learning not to fight a battle under your opponent’s rules, how to avoid having one’s ethics compromised by others, moving from "pure" science into management, are topics all covered in various chapters. … A thorough reading, followed by regular re-reads as one’s career develops, will almost certainly significantly enhance almost anyone’s career pattern." (K. Jones, Chromatographia, Vol. 61(1-2), 2005) "This book has an incredibly broad scope and looks at both technical and non-technical areas, from keeping research records to dealing with difficult people. It is steeped in chemical terminology and anecdotes based on situations common to chemists … . will have most value to chemists at the start of their careers … . anyone seeking guidance or support for their professional life will find much of value in Fetzer’s encouraging and constructive book." (Sara Shinton, Chemistry World, Vol. 1(12), December, 2004) "In a truly scientific way, Fetzer begins by exploring the technical requirements for a specialist scientific career. … Fetzer clearly identifies … issues, such as communication … resume and interview preparation, skills assessment, teamwork and leadership. … In clear text he leads the reader through each aspect, providing pertinent examples, many from his own experiences. … The book is most readable and will provide useful guidance for all chemists … ." (Alan French, Chemistry in Australia, November, 2004) "John Fetzer’s … provides ample, common-sense guidance on the key topics such as: Resumes and CVs, Personal Skills & Traits Networking, Teamwork & Leadership, Speaking & Listening, Writing Research Papers, Mentoring, Behavior & Rewards. … reflects not only his long professional experience but also his insight that, especially in today’s changing workplace, expectations and strategies for career management require constant re-evaluation." (PROCESS Chemical and Pharmaceutical Engineering, Vol. 7(3), 2004) Table of ContentsAcknowledgements 1 Introduction – The career as a long trip 2 Technical Areas 2.1 Accepting Failure to Create Innovation in Experimentation 2.2 Keeping current – always learning 2.3 Specialist or Generalist? 2.4 Being a Part of the Scientific Community 2.4.1 General Remarks 2.4.2 Societies – Is it advantageous to belong to professional societies 2.4.3 Being Involved in Societies 2.4.4 Conferences – Is it advantageous to attend and present at conferences? 2.4.5 Journals and other Publications – Is it advantageous to publish papers? 2.4.6 Reviewing for Journals 2.4.7 Advisory Boards and Editorships 2.5 Thinking – Curiosity and Wonder 2.6 Thinking – Scepticism 2.7 Diversifying 2.8 Parochial science – Possessiveness and Boundaries 2.9 The Tools (Part 1) – Tools and mechanics of research: Putting together your toolbox 2.10 The Tools (Part 2) – Handy tools, but not always needed 3 Non-technical Areas 3.1 Communicating 3.1.1 The general common points 3.1.2 Eloquence – Speaking Easily the First time 3.1.3 Writing a paper – The basic mechanics help 3.1.5 Listening 3.2 Networking – Becoming an integral part of your field 3.3 Collaborative Research 3.4 Diversity in Science – Being open minded 2.5 Using a mentor – Help Wanted: Sage and Wise Chemists to help guide 3.6 Being a mentor 3.7 Behaviours 3.7.1 Personalities and Styles in Dealing with Others 3.7.2 Dealing with Those on the Dark Side – difficult and worse people 3.7.3 Ethics – The Right Things to Do 3.8 Teams, Teamwork and Leadership 3.9 Balancing professional and private time 4 Career Changes 4.1 The Rewards or working in industry – Starting and choosing a direction from graduate school to an industrial career 4.2 Industry versus academia – The Merits of an Industrial Career in Contacts to one in Academia 4.3 Resume and curriculum vita – Getting the messageacross 4.4 The grass is greener – A Comparison Between Workplaces 4.5 Changing hats – supervising and managing 4.6 Personal skills and assessments 4.7 Degree of difficulty – non-advanced degree chemists 4.8 Pursuit of Non-traditional Careers in Chemistry 5 Bibliography

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Book SynopsisIt is a truism of science that the more fundamental the subject, the more universally applicable it is. Nevertheless, it is important to strike a level of “fundamentalness” appropriate to the task in hand. For -depth study of the mechanics of motor cars would tell one example, an in nothing about the dynamics of traffic. Traffic exists on a different “level” - it is dependent upon the existence of motor vehicles but the physics and mathematics of traffic can be adequately addressed by considering motor vehicles as mobile “blobs”,with no consideration of how they become mobile. To start a discourse on traffic with a consideration of the mechanics of motor vehicles would thus be inappropropriate. In writing this volume, I have wrestled with the question of the appropriate level at which to address the physics underlying many of the techniques used in protein isolation. I have tried to strike a level as would be used by a mechanic (with perhaps a slight leaning towards an engineer) - i.e. a practical level, offering appropriate insight but with minimal mathematics. Some people involved in biochemical research have a minimal grounding in chemistry and physics and so I have tried to keep it as simple as possible.Table of ContentsAcknowledgements. Preface. 1. An overview of protein isolation. 2. Assay, extraction and sub-cellular fractionation. 3. Concentration of the extract. 4. Chromatography. 5. Electrophoresis. 6. Immunological methods. Index.

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