This review emerged from several interdisciplinary meetings and schools gathering a group of astronomers, geologists, biologists, and chemists, attempting to share their specialized knowledge around a common question: how did life emerge on Earth? Their ultimate goal was to provide some kind of answer as a prerequisite to an even more demanding question: is life universal? The resulting state-of-the-art articles were written by twenty-five scientists telling a not-so linear story, but on the contrary, highlighting problems, gaps, and controversies. Needless to say, this approach yielded no definitive answers to both questions. However, by adopting a chronological approach to the question of the emergence of life on Earth, the only place where we know for sure that life exists; it was possible to break down this question into several sub-topics that can be addressed by the different disciplines.

The main chapters of this review present the formation and evolution of the solar system (3); the building of a habitable planet (4); prebiotic chemistry, biochemistry, and the emergence of life (5); the environmental context of the early Earth (6); and the ancient fossil record and early evolution (7). The concluding chapter (9) provides the highlights of the review and presents the different points of view about the universality of life. Two pedagogical chapters are included; one on chronometers (2), another in the form of a "frieze" (8) which summarizes in graphical form the present state of knowledge about the chronology of the emergence of life on Earth, before the Cambrian explosion.

Microbiome Therapeutics: Personalized Therapy Beyond Conventional Approaches addresses the current knowledge and landscape of microbiome therapeutics, providing an overview of existing applications in health and disease as well as potential future directions of microbiome modulations and subsequent translation to the global industry and market. This important reference provides the most current status of microbiome therapeutics as well as possible future perspectives through coverage of topics including the application of microbiome therapeutics; various additive, subtractive and modulatory approaches; microbiome composition of health and diseases, insights into live bio-therapeutics and the clinical data supporting their efficacy. Case studies are provided throughout the book to further define, describe and evaluate microbiome therapeutics success and failure.

This book provides readers with the most current, accurate, and practical fluid mechanics related applications that the practicing BS level engineer needs today in the chemical and related industries, in addition to a fundamental understanding of these applications based upon sound fundamental basic scientific principles. The emphasis remains on problem solving, and the new edition includes many more examples.

The book presents contributions on statistical models and methods applied, for both data science and SDGs, in one place. Measuring and controlling data of SDGs, data driven measurement of progress needs to be distributed to stakeholders. In this situation, the techniques used in data science, specially, in the big data analytics, play an important role rather than the traditional data gathering and manipulation techniques. This book fills this space through its twenty contributions. The contributions have been selected from those presented during the 7th International Conference on Data Science and Sustainable Development Goals organized by the Department of Statistics, University of Rajshahi, Bangladesh; and cover topics mainly on SDGs, bioinformatics, public health, medical informatics, environmental statistics, data science and machine learning. The contents of the volume would be useful to policymakers, researchers, government entities, civil society, and nonprofit organizations for monitoring and accelerating the progress of SDGs.

The central theme of this book "Microbial BioEnergy: Hydrogen Production" is focused on the biological machinery that microorganisms use to produce hydrogen gas.The book summarizes the achievements over the past decade in the biochemistry, structural and molecular biology, genomics and applied aspects of microbial H2-production, including microbial fuel cells (MFC), by phototrophs such as purple sulfur and non-sulfur bacteria ("Thiocapsa" spp., "Rhodobacter "and "Rhodopseudomonas" spp.) microalgae ("Chlamydomonas")and cyanobacteria ("Anabaena spp.") along with anaerobes and thermophiles such as "Caldicellulosiruptor "and "Thermotoga." This is the first bookof this series entirely devoted to microbial bio-hydrogen production and is intended to be a precious source of information for PhD students, researchers and undergraduates from disciplines such as microbiology, biochemistry, biotechnology, photochemistry and chemical engineering, interested in basic and applied sciences."

This book is a biography of a scientist who pioneered the development of plant pathology in Australia in the 19th and early 20th century, and was internationally acclaimed. After 20 years as a plant pathologist, he was asked to find the cause and cure of a serious physiological disorder of apples. While the cause eluded him, and everyone else for another 60 years, he again won international gratitude for the improvements he brought to the apple industry. However because he did not find the cause, he was deemed to have failed by his political masters who were malignantly influenced by a jealous rival. The discovery in 2012-2013 of government files covering the period of the bitter pit investigation, from 1911 to 1916; reveal the extent of the unjust criticism of McAlpine while history has vindicated the management recommendations made to reduce bitter-pit losses. The focus on bitter-pit management late in McAlpine's Career also meant that those who value his memory have been less aware of the remarkable achievements of McAlpine in the time before he left Great Britain - the brilliance of his teaching and drawing skills -featured in the early teaching texts for botany and zoology (the latter with his brother) which are now accessible on-line. The objective of this book is to demonstrate that (i) the view that McAlpine had failed in his quest was wrong and seriously unjust (ii) McAlpine achievements extend beyond plant pathology and include significant contributions to the 19th century teaching of botany and zoology, contributions which reinforce the adage - a picture is worth a 1,000 words.

The integrin family is composed of 24 members and approximately ten years ago (2003) we published a book devoted to the nine I domain integrin subunits. In this second edition, I am pleased that most of the original authors have been able to contribute to the updated version.

I domain containing integrins include collagen receptors and leukocyte receptors. In 2003 the knockout mouse phenotypes for all of the I domain integrins had not yet been published; they are now, and are summarized and discussed in this edition.

Interestingly, a recent 10 integrin mutation in dogs has indicated that collagen-binding integrins in the musculoskeletal system might have much more severe phenotypes in larger animals/humans compared to the mild integrin phenotypes observed in collagen-binding integrin deficient mice. This finding is further discussed in the book.

In the cancer field, the microenvironment is taking center stage, and here collagen receptors on fibroblasts are predicted to play important roles in paracrine signaling, in regulating tissue stiffness and matrix remodeling.

New technologies, new mouse models in combination with analyses of I integrins in larger animals/humans are thus predicted to increase our knowledge about this group of receptors. With this in mind we look forward to another 10 years of research with I domain integrins.

Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies based on the recent and current works at the University of Hong Kong and the Oxford University Computing Laboratory, University of Oxford. It provides a systematic introduction to the use of data mining algorithms as an investigative tool for applications in genomics. Data Mining and Applications in Genomics offers state of the art of tremendous advances in data mining algorithms and applications in genomics and also serves as an excellent reference work for researchers and graduate students working on data mining algorithms and applications in genomics.

-Morphology of Filamentous Fungi: Linking Cellular Biology to Process Engineering Using Aspergillus niger, By Rainer Krull, Christiana Cordes, Harald Horn, Ingo Kampen, Arno Kwade, Thomas R. Neu, and Bernd Noertemann; -Multi-Scale Spatio-Temporal Modeling: Lifelines of Microorganisms in Bioreactors and Tracking Molecules in Cells, By Alexei Lapin, Michael Klann, and Matthias Reuss; -Impact of Profiling Technologies in the Understanding of Recombinant Protein Production, By Chandran Vijayendran and Erwin Flaschel -Engineering the Escherichia coli Fermentative Metabolism, By M. Orencio-Trejo, J. Utrilla, M.T. Fernandez-Sandoval, G. Huerta-Beristain, G. Gosset, and A. Martinez; -Modeling Languages for Biochemical Network Simulation: Reaction vs Equation Based Approaches, By Wolfgang Wiechert, Stephan Noack, and Atya Elsheikh; -Impact of Thermodynamic Principles in Systems Biology, By J.J. Heijnen;

Design of Artificial Human Joints & Organs is intended to present the basics of the normal systems and how, due to aging, diseases or trauma, body parts may need to be replaced with manmade materials. The movement of the body generates forces in various work situations and also internally at various joints, muscles and ligaments. It is essential to figure out the forces, moments, pressure etc to design replacements that manage these stresses without breaking down. The mechanical characterization of the hard and the soft tissues are presented systematically using the principles of solid mechanics. The viscoelastic properties of the tissue will also discussed. This text covers the design science and methodology from concept to blueprint to the final component being replaced. Each chapter will be a brief overview of various joint/organ replacement systems. Engineers working on artificial joints and organs, as well as students of Mechanical Engineering and Biomedical Engineering are the main intended audience, however, the pedagogy is simple enough for those who are learning the subject for the first time.

Propelled by the success of the sequencing of the human and many related genomes, molecular and cellular biology has delivered significant scientific breakthroughs. Mathematics (broadly defined) continues to play a major role in this effort, helping to discover the secrets of life by working collaboratively with bench biologists, chemists and physicists.

Because of its outstanding record of interdisciplinary research and training, the IMA was an ideal venue for the 2007-2008 IMA thematic year on Mathematics of Molecular and Cellular Biology. The kickoff event for this thematic year was a tutorial on Mathematics of Nucleic Acids, followed by the workshop Mathematics of Molecular and Cellular Biology, held September 15--21 at the IMA. This volume is dedicated to the memory of Nicholas R. Cozzarelli, a dynamic leader who fostered research and training at the interface between mathematics and molecular biology. It contains a personal remembrance of Nick Cozzarelli, plus 15 papers contributed by workshop speakers. The papers give an overview of state-of-the-art mathematical approaches to the understanding of DNA structure and function, and the interaction of DNA with proteins that mediate vital life processes.

Synthetic biology is a dynamic, young, ambitious, attractive, and heterogeneous scientific discipline. It is constantly developing and changing, which makes societal evaluation of this emerging new science a challenging task, prone to misunderstandings. Synthetic biology is difficult to capture, and confusion arises not only regarding which part of synthetic biology the discussion is about, but also with respect to the underlying concepts in use. This book offers a useful toolbox to approach this complex and fragmented field. It provides a biological access to the discussion using a 'layer' model that describes the connectivity of synthetic or semisynthetic organisms and cells to the realm of natural organisms derived by evolution.Instead of directly reviewing the field as a whole, firstly our book addresses the characteristic features of synthetic biology that are relevant to the societal discussion. Some of these features apply only to parts of synthetic biology, whereas others are relevant to synthetic biology as a whole. In the next step, these new features are evaluated with respect to the different areas of synthetic biology. Do we have the right words and categories to talk about these new features? In the third step, traditional concepts like "life" and "artificiality" are scrutinized with regard to their discriminatory power. This approach may help to differentiate the discussion on synthetic biology. Lastly our refined view is utilized for societal evaluation. We have investigated the public views and attitudes to synthetic biology. It also includes the analysis of ethical, risk and legal questions, posed by present and future practices of synthetic biology.This book contains the results of an interdisciplinary research project and presents the authors' main findings and recommendations. They are addressed to science, industry, politics and the general public interested in this upcoming field of biotechnology.

Gregor Johann Mendel continues to fascinate the general public as well as scholars, the former for his life and the latter for his achievements. "Solitude of a Humble Genius" is a two-volume biography presenting Mendel in the context of the history of biology and philosophy, and in the context of the setting in which he lived and worked. In this first volume the authors set the stage for a new interpretation of Mendel s achievements and personality. The period of Mendel s life covered by this volume is critical to understanding why he saw what other biologists, including Charles Darwin, for example, didn t. In searching for clues to Mendel s thinking, the authors discuss at length the origin of his genes; the history of the region of his birth; they also spend a day and then the four seasons of the year with his family; and finally they examine the schooling he received, as well as the cultural and political influences he was exposed to.

An indispensible part of the work is Norman Klein s artwork. In this first volume alone, it comprises nearly 80 original drawings and includes cartoons that enliven the narration, scenes from Mendel s life, portraits, and plans and drawings of the cities and buildings in which he lived, studied, and worked."

A fundamental understanding of algorithmic bioprocesses is key to learning how information processing occurs in nature at the cell level. The field is concerned with the interactions between computer science on the one hand and biology, chemistry, and DNA-oriented nanoscience on the other. In particular, this book offers a comprehensive overview of research into algorithmic self-assembly, RNA folding, the algorithmic foundations for biochemical reactions, and the algorithmic nature of developmental processes.

The editors of the book invited 36 chapters, written by the leading researchers in this area, and their contributions include detailed tutorials on the main topics, surveys of the state of the art in research, experimental results, and discussions of specific research goals. The main subjects addressed are sequence discovery, generation, and analysis; nanoconstructions and self-assembly; membrane computing; formal models and analysis; process calculi and automata; biochemical reactions; and other topics from natural computing, including molecular evolution, regulation of gene expression, light-based computing, cellular automata, realistic modelling of biological systems, and evolutionary computing.

This subject is inherently interdisciplinary, and this book will be of value to researchers in computer science and biology who study the impact of the exciting mutual interaction between our understanding of bioprocesses and our understanding of computation.

This book is written to help and enable students in how to observe biological specimens in terms of viscosity, mass, elasticity and work producing elements. The observations are related to underlying chemical reactions by means of strain (fractional length change) sensitivity of the reactions, and a theory is developed how to connect these. Their mathematical derivation is complex when three or more states are involved, but a method is presented here to demonstrate how to simplify this complex problem. Basic mathematical solutions that are useful for this book, are presented (Fourier and Laplace transforms, differential equations, matrix operations) together with Fortran programs in the Appendix.

Financing Life Science Innovation reviews the literature on venture capital, corporate governance, and life science venturing and presents a study of the Swedish life science industry and the venture capital investors being active in financially and managerially supporting life science start-up firms.

Unique blend of asymptotic theory and small sample practice through simulation experiments and data analysis.

Novel reproducing kernel Hilbert space methods for the analysis of smoothing splines and local polynomials. Leading to uniform error bounds and honest confidence bands for the mean function using smoothing splines

Exhaustive exposition of algorithms, including the Kalman filter, for the computation of smoothing splines of arbitrary order.

This volume compiles five papers modeling the effects of neoliberal economics on the emergence of Ebola and its aftermath. Neoliberalism is currently the world's primary economic philosophy. It centers international relations around globalizing laissez-faire economics for multinational companies, promoting free trade, deregulating economic markets, and shifting state expenditures in favor of private property. The multidisciplinary teams represented here place both Ebola Makona, the Zaire Ebola virus variant that has infected 28,000 in West Africa, and Ebola Reston, which is currently emerging in industrial hog farms in the Philippines and China, within a multi-plank modeling framework. Using a stochastic extinction model that one group spatializes, environmental stochasticity across the ecologies in which Ebola evolves is treated as an ecosystemic prophylaxis. An agroecological logic gate is developed for epidemic control. A Black-Scholes model explicitly links economic margins across agricultural systems to success in biocontrol. This new control theory is further developed around the data-rate and rate-distortion theorems, a turbulence model, and cognitive symmetry breaking. Lastly, a model of pandemic penetrance is used to explore the domino effects of serious outbreaks amplifying through the cascades of disasters that can follow deadly pandemics. All the models presented are contextualized by socioeonomic geographies specific to outbreak locales.Together the models suggest shifts in regional agroeconomics under the neoliberal doctrine, driving deforestation and monoculture production, destroying the ecosystemic "friction" with which local forests typically disrupt Ebola transmission. The resulting collapse in such an ecological function accelerates pathogen spillover and propagation across the remaining host populations. The failure on the part of current control efforts to assimilate such a structural context may render even an efficacious vaccine dysfunctional. The authors propose an alternate science of disease and an adjunct program of interventions useful to researchers and public health officials alike.

This book outlines 11 courses and 15 research topics in bioinformatics, based on curriculums and talks in a graduate summer school on bioinformatics that was held in Tsinghua University. The courses include: Basics for Bioinformatics, Basic Statistics for Bioinformatics, Topics in Computational Genomics, Statistical Methods in Bioinformatics, Algorithms in Computational Biology, Multivariate Statistical Methods in Bioinformatics Research, Association Analysis for Human Diseases: Methods and Examples, Data Mining and Knowledge Discovery Methods with Case Examples, Applied Bioinformatics Tools, Foundations for the Study of Structure and Function of Proteins, Computational Systems Biology Approaches for Deciphering Traditional Chinese Medicine, and Advanced Topics in Bioinformatics and Computational Biology. This book can serve as not only a primer for beginners in bioinformatics, but also a highly summarized yet systematic reference book for researchers in this field. Rui Jiang and Xuegong Zhang are both professors at the Department of Automation, Tsinghua University, China. Professor Michael Q. Zhang works at the Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.

Mycorrhizal fungi are microbial engines which improve plant vigor and soil quality. They play a crucial role in plant nutrient uptake, water relations, ecosystem establishment, plant diversity, and the productivity of plants. Scientific research involves multidisciplinary approaches to understand the adaptation of mycorrhizae to the rhizosphere, mechanism of root colonization, effect on plant physiology and growth, biofertilization, plant resistance and biocontrol of plant pathogens. This book discusses and goes into detail on a number of topics: the molecular basis of nutrient exchange between arbuscular mycorrhizal (AM) fungi and host plants; the role of AM fungi in disease protection, alleviation of soil stresses and increasing grain production; interactions of AM fungi and beneficial saprophytic mycoflora in terms of plant growth promotion; the role of AM fungi in the restoration of native ecosystems; indirect contributions of AM fungi and soil aggregation to plant growth and mycorrhizosphere effect of multitrophic interaction; the mechanisms by which mycorrhizas change a disturbed ecosystem into productive land; the importance of reinstallation of mycorrhizal systems in the rhizosphere is emphasized and their impact on landscape regeneration, and in bioremediation of contaminated soils; Ectomycorrhizae (ECM) and their importance in forest ecosystems and associations of ECM in tropical rain forests function to maintain tropical monodominance; in vitro mycorrhization of micro-propagated plants, and visualizing and quantifying endorhizal fungi; the use of mycorrhizae, mainly AM and ECM, for sustainable agriculture and forestry.

This book explores the emergence of a new scientific field, synthetic biology, and the many bold promises its proponents have made to change the future of science, industry, humanity and the global environment. It explores how people, including academics, students, industrialists and governance actors, tried to change their practices to bring engineering and biology together, and to realise such promises from within their everyday lives. It focuses on an ethnographic case study of an academic project that aimed to demonstrate the field's promise for solving water industry problems, from leaky pipes to climate change. In doing so, the book weaves together stories of barriers, bacteria and bodies, examining how they were entangled as people tried to make connections between academia and industry. It also reflects on the authors' attempts to work collaboratively with natural scientists and engineers, reflecting on current debates about the role of sociology in such interdisciplinary projects. The book contributes to contemporary studies of science and technology by highlighting issues such as ontology, practices, failure and time.

This book is about the how of desertification control as opposed to an analysis of the why and fills a gap in the desertification-related literature in that it shows what to do in situations ranging from fixing mobile sands to arresting accelerated soil erosion in sloping lands. There are numerous illustrations to show the successful techniques.
This compilation demonstrates that desertification and land degradation can be controlled and reversed with existing techniques in such widely varying environments as the Sahel of Africa to Sri Lanka and the Philippines in SE Asia, from mountains in Lesotho to low lands on desert margins in Mongolia. Proven approaches include technical interventions, changes in governance and to the legislative framework and policy reform. The book fills a gap in the desertification-related literature in that it shows what to do in situations ranging from fixing mobile sands to arresting accelerated soil erosion in sloping lands."

This doctoral thesis reports on an innovative data repository offering adaptive metadata management to maximise information sharing and comprehension in multidisciplinary and geographically distributed collaborations. It approaches metadata as a fluid, loosely structured and dynamical process rather than a fixed product, and describes the development of a novel data management platform based on a schemaless JSON data model, which represents the first fully JSON-based metadata repository designed for the biomedical sciences. Results obtained in various application scenarios (e.g. integrated biobanking, functional genomics and computational neuroscience) and corresponding performance tests are reported on in detail. Last but not least, the book offers a systematic overview of data platforms commonly used in the biomedical sciences, together with a fresh perspective on the role of and tools for data sharing and heterogeneous data integration in contemporary biomedical research.