This new edition continues to illustrate the power of biological data in knowledge discovery. It describes biological data types and representations with examples for creating a workflow in bioinformation discovery. The concepts in knowledge discovery from data are illustrated using line diagrams. The principles and concepts in knowledge discovery are used for the development of prediction models for simulations of biological reactions and events. Advanced topics in molecular evolution and cellular & molecular biology are addressed using bioinformation gleaned through discovery. Each chapter contains approximately 10 exercises for practice. This will help students to expand their problem solving skills in Bioinformation Discovery. In this new edition, there are three new chapters covering single nucleotide polymorphism, genes, proteins and disease, and protein functions driven by surface electrostatics.

Provides exclusive material on refractories Discusses detailed descriptions of different shaped and unshaped refractories Uses phase diagrams for better understanding of concepts Explores details on testing and specifications including thermochemical and corrosion behaviour Includes a separate chapter on trends of refractories and other issues

The fascinating machinery that life uses to harness energy is the focus of this volume of the Advances in Photosynthesis and Respiration series. Experts in the field communicate their insights into the mechanisms that govern biological energy conversion from the atomic scale to the physiological integration within organisms. By leveraging the power of current structural techniques the authors reveal the inner workings of life.

As a research subject, the biomechanics of the urinary bladder are relatively young, yet medical problems associated with them are as old as mankind. Offering an update on recent achievements in the field, the authors highlight the underlying biological, chemical and physical processes of bladder function and present the systematic development of a mathematical model of the organ as a thin, soft biological shell. The book will be a valuable resource for postgraduate students and researchers interested in the applications of computational mathematics and solid mechanics to modern problems in biomedical engineering and medicine.

This book seeks to work out which commitments are minimally sufficient to obtain an ontology of the natural world that matches all of today's well-established physical theories. We propose an ontology of the natural world that is defined only by two axioms: (1) There are distance relations that individuate simple objects, namely matter points. (2) The matter points are permanent, with the distances between them changing. Everything else comes in as a means to represent the change in the distance relations in a manner that is both as simple and as informative as possible. The book works this minimalist ontology out in philosophical as well as mathematical terms and shows how one can understand classical mechanics, quantum field theory and relativistic physics on the basis of this ontology. Along the way, we seek to achieve four subsidiary aims: (a) to make a case for a holistic individuation of the basic objects (ontic structural realism); (b) to work out a new version of Humeanism, dubbed Super-Humeanism, that does without natural properties; (c) to set out an ontology of quantum physics that is an alternative to quantum state realism and that avoids any ontological dualism of particles and fields; (d) to vindicate a relationalist ontology based on point objects also in the domain of relativistic physics.

This contributed volume comprises research articles and reviews on topics connected to the mathematical modeling of cellular systems. These contributions cover signaling pathways, stochastic effects, cell motility and mechanics, pattern formation processes, as well as multi-scale approaches. All authors attended the workshop on "Modeling Cellular Systems" which took place in Heidelberg in October 2014. The target audience primarily comprises researchers and experts in the field, but the book may also be beneficial for graduate students.

Handbook of Current and Novel Protocols for the Treatment of Infertility is a valuable resource of well-organized, comprehensive scientific data with practical guides and step-by-step protocols for infertility management. Written by contributors located worldwide, this book discusses different practice patterns and approaches used internationally, along with innovative topics including preimplantation genetic testing, time lapse imaging and the role of artificial intelligence in ART. This book provides up-to-date, evidence-based guidance on daily practice and is a valuable resource for infertility providers, including trainees in the field of reproductive endocrinology and infertility, embryologists, specialists in reproductive medicine and gynecologists. The field of Assisted Reproductive Technology (ART) is rapidly evolving and stimulation protocols, fertility strategies and aspects of infertility treatments are constantly being updated as advances and new discoveries are made.

Principles and Application of Evidence-Based Public Health Practice helps clinicians who conduct population-based studies in the community be aware of the principles and ethics involved in public health research. Further, the book helps social scientists involved in public health, especially regarding the medical implication of public health practice. Community-based epidemiological research studies are vital for any public health activities, be it evaluation of health programs, health systems strengthening, surveillance or preventive/promotive trials in the community. While hospital/clinic-based research is conducted in a very controlled setting, community trials are more practical. Community-based studies require a fairly different set of ethical and epidemiological principles to be followed. The same has been reiterated in the ethical guidelines for biomedical research on human subjects released by various national research organizations.

Sustainable and Circular Management of Resources and Waste Towards a Green Deal highlights the importance of resource recovery, phosphorus management, climate action, clean energy transition, and a circular economy. The world is facing significant challenges, including climate disruption, environmental changes, pollution, and population explosion. Sustainable management of finite natural resources within the carrying capacity of the bio-geo-hydrosphere is the crux of transforming the global economy for a sustainable future. Moreover, keeping raw materials in circulation as long as possible and minimizing the amount of waste generated has grown in significance as a part of transitioning to a circular economy (CE) model.

This research monograph utilizes exact and Monte Carlo permutation statistical methods to generate probability values and measures of effect size for a variety of measures of association. Association is broadly defined to include measures of correlation for two interval-level variables, measures of association for two nominal-level variables or two ordinal-level variables, and measures of agreement for two nominal-level or two ordinal-level variables. Additionally, measures of association for mixtures of the three levels of measurement are considered: nominal-ordinal, nominal-interval, and ordinal-interval measures. Numerous comparisons of permutation and classical statistical methods are presented. Unlike classical statistical methods, permutation statistical methods do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity of variance, and depend only on the data at hand. This book takes a unique approach to explaining statistics by integrating a large variety of statistical methods, and establishing the rigor of a topic that to many may seem to be a nascent field. This topic is relatively new in that it took modern computing power to make permutation methods available to those working in mainstream research. Written for a statistically informed audience, it is particularly useful for teachers of statistics, practicing statisticians, applied statisticians, and quantitative graduate students in fields such as psychology, medical research, epidemiology, public health, and biology. It can also serve as a textbook in graduate courses in subjects like statistics, psychology, and biology.

Describes landmark experiments in cell biology and biochemistry Discusses the "How" and "Why" of historically important experiments Includes primary, original data and graphs Emphasizes biological techniques, which helps understand how many of the experiments performed were possible. Documents, chronologically, how each result fed into the next experiments.

Exploring behaviour through bones has always been a fascinating topic to those that study human remains. Human bodies record and store vast amounts of information about the way we move, where we live, and our experiences of health and socioeconomic circumstances. We see it every day, and experience it, but when it comes to past populations, understanding behaviour is largely mediated by our ability to read it in bones. Behaviour in Our Bones: How Human Behaviour Influences Skeletal Morphology examines how human physical and cultural actions and interactions can be read through careful analyses of skeletal human remains. This book synthesises the latest research on reconstructing behaviour in the past. Each chapter is dedicated to a specific region of the human body, guiding the reader from head to toe and highlighting how evidence found on the skull, shoulder, thorax, spine, pelvis, and the upper and lower limbs has been used to infer patterns of activity and other behaviour. Chapter authors expertly summarise and critically discuss a range of methodological, theoretical, and interpretive approaches used to read skeletal remains and interpret a wide variety of behaviours, including tool use, locomotion, reproduction, health, pathology, and beyond.

The complexity of biological systems has intrigued scientists from many disciplines and has given birth to the highly influential field of systems biology wherein a wide array of mathematical techniques, such as flux balance analysis, and technology platforms, such as next generation sequencing, is used to understand, elucidate, and predict the functions of complex biological systems. More recently, the field of synthetic biology, i.e., de novo engineering of biological systems, has emerged. Scientists from various fields are focusing on how to render this engineering process more predictable, reliable, scalable, affordable, and easy. Systems and control theory is a branch of engineering and applied sciences that rigorously deals with the complexities and uncertainties of interconnected systems with the objective of characterising fundamental systemic properties such as stability, robustness, communication capacity, and other performance metrics. Systems and control theory also strives to offer concepts and methods that facilitate the design of systems with rigorous guarantees on these properties. Over the last 100 years, it has made stellar theoretical and technological contributions in diverse fields such as aerospace, telecommunication, storage, automotive, power systems, and others. Can it have, or evolve to have, a similar impact in biology? The chapters in this book demonstrate that, indeed, systems and control theoretic concepts and techniques can have a significant impact in systems and synthetic biology. Volume I provides a panoramic view that illustrates the potential of such mathematical methods in systems and synthetic biology. Recent advances in systems and synthetic biology have clearly demonstrated the benefits of a rigorous and systematic approach rooted in the principles of systems and control theory - not only does it lead to exciting insights and discoveries but it also reduces the inordinately lengthy trial-and-error process of wet-lab experimentation, thereby facilitating significant savings in human and financial resources. In Volume I, some of the leading researchers in the field of systems and synthetic biology demonstrate how systems and control theoretic concepts and techniques can be useful, or should evolve to be useful, in order to understand how biological systems function. As the eminent computer scientist Donald Knuth put it, "biology easily has 500 years of exciting problems to work on". This edited book presents but a small fraction of those for the benefit of (1) systems and control theorists interested in molecular and cellular biology and (2) biologists interested in rigorous modelling, analysis and control of biological systems.

Applications: - Applications of Microbial Cell Sensors, by Mifumi Shimomura-Shimizu and Isao Karube - Whole-Cell Bioreporters for the Detection of Bioavailable Metals, by Anu Hynninen and Marko Virta - Bacteriophage-Based Pathogen Detection, by Steven Ripp - Cell-Based Genotoxicity Testing, by Georg Reifferscheid and Sebastian Buchinger - Cytotoxicity and Genotoxicity Reporter Systems Based on the Use of Mammalian Cells, by Christa Baumstark-Khan, Christine E. Hellweg, and Gunther Reitz - Live Cell Optical Sensing for High Throughput Applications, by Ye Fang - Cyanobacterial Bioreporters as Sensors of Nutrient Availability, by George S. Bullerjahn, Ramakrishna Boyanapalli, Mark J. Rozmarynowycz, and R. Michael L. McKay - Application of Microbial Bioreporters in Environmental Microbiology and Bioremediation, by E. E. Diplock, H. A. Alhadrami, and G. I. Paton

This book contains a rich set of tools for nonparametric analyses, and the purpose of this text is to provide guidance to students and professional researchers on how R is used for nonparametric data analysis in the biological sciences: To introduce when nonparametric approaches to data analysis are appropriate To introduce the leading nonparametric tests commonly used in biostatistics and how R is used to generate appropriate statistics for each test To introduce common figures typically associated with nonparametric data analysis and how R is used to generate appropriate figures in support of each data set The book focuses on how R is used to distinguish between data that could be classified as nonparametric as opposed to data that could be classified as parametric, with both approaches to data classification covered extensively. Following an introductory lesson on nonparametric statistics for the biological sciences, the book is organized into eight self-contained lessons on various analyses and tests using R to broadly compare differences between data sets and statistical approach.

This BASS book Series publishes selected high-quality papers reflecting recent advances in the design and biostatistical analysis of biopharmaceutical experiments - particularly biopharmaceutical clinical trials. The papers were selected from invited presentations at the Biopharmaceutical Applied Statistics Symposium (BASS), which was founded by the first Editor in 1994 and has since become the premier international conference in biopharmaceutical statistics. The primary aims of the BASS are: 1) to raise funding to support graduate students in biostatistics programs, and 2) to provide an opportunity for professionals engaged in pharmaceutical drug research and development to share insights into solving the problems they encounter. The BASS book series is initially divided into three volumes addressing: 1) Design of Clinical Trials; 2) Biostatistical Analysis of Clinical Trials; and 3) Pharmaceutical Applications. This book is the second of the 3-volume book series. The topics covered include: Statistical Approaches to the Meta-analysis of Randomized Clinical Trials, Collaborative Targeted Maximum Likelihood Estimation to Assess Causal Effects in Observational Studies, Generalized Tests in Clinical Trials, Discrete Time-to-event and Score-based Methods with Application to Composite Endpoint for Assessing Evidence of Disease Activity-Free , Imputing Missing Data Using a Surrogate Biomarker: Analyzing the Incidence of Endometrial Hyperplasia, Selected Statistical Issues in Patient-reported Outcomes, Network Meta-analysis, Detecting Safety Signals Among Adverse Events in Clinical Trials, Applied Meta-analysis Using R, Treatment of Missing Data in Comparative Effectiveness Research, Causal Estimands: A Common Language for Missing Data, Bayesian Subgroup Analysis with Examples, Statistical Methods in Diagnostic Devices, A Question-Based Approach to the Analysis of Safety Data, Analysis of Two-stage Adaptive Seamless Trial Design, and Multiplicity Problems in Clinical Trials - A Regulatory Perspective.

Features • Presents an accessible introduction to the topic in addition to more advanced material for specialists in the field. • Covers a broad spectrum of topics this new field. • Contains exciting case studies and examples, such as quantum dots, bionanomaterials, and future perspectives.

A New York Times bestselling writer explores what our unique sonic signature reveals about our species, our culture, and each one of us. Finally, a vital topic that has never had its own book gets its due. There's no shortage of books about public speaking or language or song. But until now, there has been no book about the miracle that underlies them all--the human voice itself. And there are few writers who could take on this surprisingly vast topic with more artistry and expertise than John Colapinto. Beginning with the novel--and compelling--argument that our ability to speak is what made us the planet's dominant species, he guides us from the voice's beginnings in lungfish millions of years ago to its culmination in the talent of Pavoratti, Martin Luther King Jr., and Beyonce--and each of us, every day. Along the way, he shows us why the voice is the most efficient, effective means of communication ever devised: it works in all directions, in all weathers, even in the dark, and it can be calibrated to reach one other person or thousands. He reveals why speech is the single most complex and intricate activity humans can perform. He travels up the Amazon to meet the Piraha, a reclusive tribe whose singular language, more musical than any other, can help us hear how melodic principles underpin every word we utter. He heads up to Harvard to see how professional voices are helped and healed, and he ventures out on the campaign trail to see how demagogues wield their voices as weapons. As far-reaching as this book is, much of the delight of reading it lies in how intimate it feels. Everything Colapinto tells us can be tested by our own lungs and mouths and ears and brains. He shows us that, for those who pay attention, the voice is an eloquent means of communicating not only what the speaker means, but also their mood, sexual preference, age, income, even psychological and physical illness. It overstates the case only slightly to say that anyone who talks, or sings, or listens will find a rich trove of thrills in This Is the Voice.

This unique volume provides an insight into bioactive compounds of tea from studies of both chemical structures and pharmacological aspects. Examples of the beneficial health effects of tea compounds in managing health problems and diseases are presented, with an emphasis on viral diseases such as COVID-19. Vaccines are not always available in many countries, thus simple and inexpensive measures which are easily available to help mitigate for example, the COVID-19 pandemic, are urgently needed. Dietary bioactive compounds could be alternative nutritional approaches in combating infection in addition to existing therapies and also upcoming vaccines and drugs, by enhancing their efficacy. Features : Emphasizes the antiviral activity of the tea compounds and the latest findings against Coronavirus and SARS-Cov-2. Provides a general overview of tea constituents, chemical structures of these compounds and their potential health benefits. Tea is one of the most commonly used beverages around the world and people with different backgrounds will be interested in reading about its health benefits. Correlating the therapeutic effect of tea components with COVID-19 is extremely beneficial for health care team members and general population. Assists the reader in understanding the therapeutic value of using tea to tackle COVID-19 symptoms, offering simple, inexpensive tips to help mitigate the virus.

This volume is based on the Workshop on Systems Biology of Tumor Dormancy meeting, held July 25th to July 28th, 2011. The first annual CCSB workshop brought together biologists, clinicians, mathematicians, and computer scientists to discuss various aspects of tumor dormancy and develop novel mathematical/computational models with the keynote speakers. Specific topics included the angiogenic switch, immune system interactions, cancer stem cells and signaling.

Since Darwin, Biology has been framed on the idea of evolution by natural selection, which has profoundly influenced the scientific and philosophical comprehension of biological phenomena and of our place in Nature. This book argues that contemporary biology should progress towards and revolve around an even more fundamental idea, that of autonomy. Biological autonomy describes living organisms as organised systems, which are able to self-produce and self-maintain as integrated entities, to establish their own goals and norms, and to promote the conditions of their existence through their interactions with the environment. Topics covered in this book include organisation and biological emergence, organisms, agency, levels of autonomy, cognition, and a look at the historical dimension of autonomy. The current development of scientific investigations on autonomous organisation calls for a theoretical and philosophical analysis. This can contribute to the elaboration of an original understanding of life - including human life - on Earth, opening new perspectives and enabling fecund interactions with other existing theories and approaches. This book takes up the challenge.

Food products are complex in nature which makes their analysis difficult. Different scientific disciplines such as biochemistry, microbiology, and nutrition, together with engineering concepts are involved in their characterization. However, imaging of food materials and data analysis has gained more importance due to innovations in the food industry, as well as the emergence of food nanotechnology. Image analysis protocols and techniques can be used in food structure analysis and process monitoring. Therefore, food structure imaging is crucial for various sections of the food chain starting from the raw material to the end product. This book provides information on imaging techniques such as electron microscopy, laser microscopy, x-ray tomography, raman and infrared imaging, together with data analysis protocols. It addresses the most recent advances in imaging technologies and data analysis of grains, liquid food systems (i.e. emulsions and gels), semi-solid and solid foams (i.e. bakery products, dough, expanded snacks), protein films, fruits and vegetable confectionery and nuts. This book also: Provides in-depth view of raw material characterization and process control Covers structure-functionality and structure-texture relationships Reviews applications to emerging areas of food science with an insight into future trends

This book describes the methods of analysis and determination of oxidants and oxidative stress in biological systems. Reviews and protocols on select methods of analysis of ROS, RNS, oxygen, redox status, and oxidative stress in biological systems are described in detail. It is an essential resource for both novices and experts in the field of oxidant and oxidative stress biology.

Image synthesis across and within medical imaging modalities is an active area of research with broad applications in radiology and radiation oncology. This book covers the principles and methods of medical image synthesis, along with state-of-the-art research. First, various traditional non-learning-based, traditional machine-learning-based, and recent deep-learning-based medical image synthesis methods are reviewed. Second, specific applications of different inter- and intra-modality image synthesis tasks and of synthetic image-aided segmentation and registration are introduced and summarized, listing and highlighting the proposed methods, study designs, and reported performances with the related clinical applications of representative studies. Third, the clinical usages of medical image synthesis, such as treatment planning and image-guided adaptive radiotherapy, are discussed. Last, the limitations and current challenges of various medical synthesis applications are explored, along with future trends and potential solutions to solve these difficulties. The benefits of medical image synthesis have sparked growing interest in a number of advanced clinical applications, such as magnetic resonance imaging (MRI)-only radiation therapy treatment planning and positron emission tomography (PET)/MRI scanning. This book will be a comprehensive and exciting resource for undergraduates, graduates, researchers, and practitioners.

This edited monograph presents the collected interdisciplinary research results of the priority program "Information- and Communication Theory in Molecular Biology (InKoMBio, SPP 1395)", funded by the German Research Foundation DFG, 2010 until 2016. The topical spectrum is very broad and comprises, but is not limited to, aspects such as microRNA as part of cell communication, information flow in mammalian signal transduction pathway, cell-cell communication, semiotic structures in biological systems, as well as application of methods from information theory in protein interaction analysis. The target audience primarily comprises research experts in the field of biological signal processing, but the book is also beneficial for graduate students alike.