This edited collection brings together internationally recognized experts in a range of areas of statistical science to honor the contributions of the distinguished statistician, Barry C. Arnold. A pioneering scholar and professor of statistics at the University of California, Riverside, Dr. Arnold has made exceptional advancements in different areas of probability, statistics, and biostatistics, especially in the areas of distribution theory, order statistics, and statistical inference. As a tribute to his work, this book presents novel developments in the field, as well as practical applications and potential future directions in research and industry. It will be of interest to graduate students and researchers in probability, statistics, and biostatistics, as well as practitioners and technicians in the social sciences, economics, engineering, and medical sciences.

This book addresses the structural and biological properties of dental and peridental tissue structures and covers their mineralization process. The book contains a description of dentines, cementum, enamel and bone, including collagens, as well as non-collagenous proteins (SIBLINGs, SLRPs, GAGs, PGs, lipids, and MMPs). The mechanisms of mineralization are described in detail and the book is focused on matrix vesicles, collagen mineralization and the role of non-collagenous extracellular matrix components either as promoters or inhibitors of mineralization. In addition, the matrix components (non-collagenous) of enamel (amelogenin, ameloblastin, enamelin, MMP4, MMP20 and other proteases) are reviewed and their respective roles in dental tissues biomineralizations and tissue turnover are discussed. Additionally, environmental factors involved in enamel / dentin defects are adressed. With state-of-the-art contributions from experts in the respective domains, the book is a useful introduction to the field for junior scientists, interested in dental and peridental tissue biomineralization. It is also an interesting read for advanced scientists and clinicians working in dental research, giving them a broader view of the topic beyond their area of specialization. The series Biology of Extracellular Matrix is published in collaboration with the American Society for Matrix Biology.

"Transparency for Sustainability in the Food Chain" lays out the key issues and challenges in food safety, food quality, chain integrity, the link with consumers, and the technological base of tracking and tracing systems. This succinct volume brings readers up to speed on the state of the art in these areas, and the research trends in specific domains.

Transparency in the food sector, especially to consumers, is one of the priority issues on the agenda of consumer policy representatives. Food scandals and deficiencies in consumer communication have drawn increasing demands for food policies that ensure that food is safe and of the quality consumers expect. Further, consumers increasingly expect that food production processes limit negative impacts on the environment and consider social concerns.

Moving toward improved transparency requires action by stakeholders of the food chain but also knowledge on where and how to move. Researchers and professionals working in food sourcing, regulation, safety, and distribution will benefit from this clear overview.
Specifies research to increase transparency in consumer communicationDetails the state of the art and research challenges in several specific food supply domainsInvolves food safety, food quality, chain integrity, the link with consumers, and the technological base of tracking and tracing systems

The 4th World Congress on Genetics, Geriatrics and Neurodegenerative Diseases Research (GeNeDis 2020) focuses on the latest major challenges in scientific research, new drug targets, the development of novel biomarkers, new imaging techniques, novel protocols for early diagnosis of neurodegenerative diseases, and several other scientific advances, with the aim of better, safer, and healthier aging. Computational methodologies for implementation on the discovery of biomarkers for neurodegenerative diseases are extensively discussed. This volume focuses on the sessions from the conference regarding computational biology and bioinformatics.

For the past decade or more, much of cell biology research has been focused on determining the key molecules involved in different cellular processes, an analytical problem that has been amenable to biochemical and genetic approaches. Now, we face an integrative problem of understanding how all of these molecules work together to produce living cells, a challenge that requires using quantitative approaches to model the complex interactions within a cell, and testing those models with careful quantitative measurements. This book is an introductory overview of the various approaches, methods, techniques, and models employed in quantitative cell biology, which are reviewed in greater detail in the other volumes in this e-book series. Particular emphasis is placed on the goals and purpose of quantitative analysis and modeling, and the special challenges that cell biology holds for understanding life at the physical level.

This book comprises the proceedings of the 12th International Conference on Asia-Pacific Microscopy Conference (APMC12) focusing on emerging opportunities and challenges in the field of materials sciences, life sciences and microscopy techniques. The contents of this volume include papers on aberration corrected TEM & STEM, SEM - FIB, ion beam microscopy, electron diffraction & crystallography, microscopy and imaging associated with bio-nanotechnology, medical applications, host-pathogen interaction, etc. This book will be beneficial to researchers, educators, and practitioners alike.

This book provides a compact introduction to the bootstrap method. In addition to classical results on point estimation and test theory, multivariate linear regression models and generalized linear models are covered in detail. Special attention is given to the use of bootstrap procedures to perform goodness-of-fit tests to validate model or distributional assumptions. In some cases, new methods are presented here for the first time. The text is motivated by practical examples and the implementations of the corresponding algorithms are always given directly in R in a comprehensible form. Overall, R is given great importance throughout. Each chapter includes a section of exercises and, for the more mathematically inclined readers, concludes with rigorous proofs. The intended audience is graduate students who already have a prior knowledge of probability theory and mathematical statistics.

The book is an indispensable companion to all students of biology, but particularly those enrolled in courses concerning experimental design, data analysis, hypothesis testing, research methods, or any practical project work.

This book includes an international group of researchers who present the latest achievements in the field of enzyme, immune system, and microbial and nano-biosensors. It highlights the experimental evidence for formation of biological fuel cells (BFCs)-which has a dual purpose - as a device that produces electricity and the systems which produce it simultaneously cleaning up the environment from polluting organic compounds. Considering the work in the field of macro, micro and nano-biosensors, considerable attention is paid to the use of nanomaterials for the modification of working electrodes. Nanomaterials in some cases can significantly improve the parameters of analytical systems. Readers will be interested in the projection of the presented theoretical and experimental materials in the field of practical application of modern analytical developments. The presented results in many cases imply the possibility of using the created models of macro, micro and nano-biosensors, and biofuel elements in the field of health, and protection/restoration of the environment. It includes information about all existing types of transducers of signals in biosensors - electrochemical, optical and quantum-optics, thermoelectric, data of atomic force microscopy, piezoelectric, and more. On the basis of these principles, descriptions are given about the functioning of macro, micro and nano- biosensors for the detection of compounds used in medicine, detection of compounds that clog the environment, and thus affect human health, for compounds that are potentially the basis for the production of drugs, for the selection of compounds that have medicinal activity, for immunodetection, and to assess the quality of food. These questions form the basis of research carried out in the field of biosensors in the world. Since the described models of biosensors have high sensitivity, high measurement speed and selectivity, the described results attract the attention of both the ordinary reader and business class specialists who create and implement analytical technologies. This book is very useful for researchers in life sciences, chemical sciences, physics, and engineering. In addition, it will be useful for the persons working in industry. Advanced technologies specialists will be attracted by the novelty of the proposed solutions and their relevance and ease of implementation. Since the studies contain sections describing the parameters of different biosensors, BFCs, they are easily navigated into assessing the effectiveness of the practical use of the proposed device. The relevant sections indicate such characteristics as detection ranges, life span, type of biological material used, the method of formation of the bio-receptor part. These parameters are of interest to both developers of new models of biosensors and BFC, and their manufacturers.

This book offers a comprehensive overview of Alexander disease, a rare and devastating neurological disorder that often affects the white matter of the brain and spinal cord. Its distinctive neuropathology consists of abundant Rosenthal fibers within astrocytes (one of the four major cell types of the central nervous system). Nearly all cases are caused by variants in the gene encoding the intermediate filament protein GFAP, but how these changes in GFAP lead to the widespread manifestations of disease is poorly understood. Astrocytes, while discovered over a century ago, are themselves still much of a mystery. They exhibit considerable diversity, defy precise definition, and yet actively regulate many aspects of nervous system functioning. We also have incomplete understanding of Rosenthal fibers, odd structures that contain GFAP as just one of many components. Whether they are toxic or protective is unknown. Moreover, Rosenthal fibers are not absolutely unique to Alexander disease, and are seen sporadically in a wide variety of other conditions, including brain tumors and multiple sclerosis. GFAP is the third unknown. It is an ancient protein, arising early in the evolution of vertebrates, but its role in normal biology is still a matter of debate. Yet Alexander disease shows, without a doubt, that changing just a single of its 432 amino acids can lead to catastrophe, not just in the astrocytes where GFAP is produced but also in the other cells with which astrocytes interact. Despite all of the unknowns, much has been learned in the past 20 years, and it is time to share this knowledge. This book is intended for recently diagnosed patients and families, as well as non-specialist researchers interested in this neurological disease. It covers historical origins, the state of current knowledge, and prospects for what lies ahead, with citations to the primary literature given throughout.

This book reviews the relationship between receptors, carbohydrate moieties, and pathogenic surfaces and lectins' pathophysiology of immune responses and examines the mechanisms of action of the molecules for the treatment potentials. Increasing evidence has suggested that lectin-carbohydrate interactions perform important roles in various regulations of immune responses, but much remains to be learned about these crucial properties and their interplay with other molecules. In addition, a better understanding of the structural and functional properties of lectin and the activated immune response will be of critical importance for the development of new diagnostic tools and therapeutic strategies. These key areas are the focus of this book, which documents the latest research findings in the field. Evidence is provided for the various lectin types from animal and plant as well as microbial or marine lectins, and this wide range of molecular knowledge directs us to various diseases, including infectious diseases and cancer. In presenting state-of-the-art knowledge on the interactions between lectin and its interactions,the book will help to pave the way for the development of novel targets for the prevention and treatment of many disorders.

Volume 37 will provide details on the major chemical constituents of medicinal plants and their mechanism of action as the anticancer compounds. This special issue, in addition to the previous volume (volume 36 of The Enzyme series was on Natural Products and Cancer Signaling Targets: Isoprenoids, Polyphenols and Flavonoids), will highlight the significant advance made in the field in elucidating mechanisms of anticancer effect of the major phytochemicals.

In the statistical domain, certain topics have received considerable attention during the last decade or so, necessitated by the growth and evolution of data and theoretical challenges. This growth has invariably been accompanied by computational advancement, which has presented end users as well as researchers with the necessary opportunities to handle data and implement modelling solutions for statistical purposes. Showcasing the interplay among a variety of disciplines, this book offers pioneering theoretical and applied solutions to practice-oriented problems. As a carefully curated collection of prominent international thought leaders, it fosters collaboration between statisticians and biostatisticians and provides an array of thought processes and tools to its readers. The book thereby creates an understanding and appreciation of recent developments as well as an implementation of these contributions within the broader framework of both academia and industry. Computational and Methodological Statistics and Biostatistics is composed of three main themes: * Recent developments in theory and applications of statistical distributions;* Recent developments in supervised and unsupervised modelling;* Recent developments in biostatistics; and also features programming code and accompanying algorithms to enable readers to replicate and implement methodologies. Therefore, this monograph provides a concise point of reference for a variety of current trends and topics within the statistical domain. With interdisciplinary appeal, it will be useful to researchers, graduate students, and practitioners in statistics, biostatistics, clinical methodology, geology, data science, and actuarial science, amongst others.

This proceedings volume highlights the latest research and developments in psychometrics and statistics. It represents selected and peer-reviewed presentations given at the 85th Annual International Meeting of the Psychometric Society (IMPS), held virtually on July 13-17, 2020. The IMPS is one of the largest international meetings on quantitative measurement in education, psychology and the social sciences. It draws approximately 500 participants from around the world, featuring paper and poster presentations, symposiums, workshops, keynotes, and invited presentations. Leading experts and promising young researchers have written the included chapters. The chapters address a wide variety of topics including but not limited to item response theory, adaptive testing, Bayesian estimation, propensity scores, and cognitive diagnostic models. This volume is the 9th in a series of recent works to cover research presented at the IMPS.

This book provides a practical guide to the analysis of data from randomized controlled trials (RCT). It gives an answer to the question of how to estimate the intervention effect in an appropriate way. This problem is examined for different RCT designs, such as RCTs with one follow-up measurement, RCTs with more than one follow-up measurement, cluster RCTs, cross-over trials, stepped wedge trials, and N-of-1 trials. The statistical methods are explained in a non-mathematical way and are illustrated by extensive examples. All datasets used in the book are available for download, so readers can reanalyse the examples to gain a better understanding of the methods used. Although most examples are taken from epidemiological and clinical studies, this book is also highly recommended for researchers working in other fields.

This book explores the impact of nonlinearity on a broad range of areas, including time-honored fields such as biology, geometry, and topology, but also modern ones such as quantum mechanics, networks, metamaterials and artificial intelligence. The concept of nonlinearity is a universal feature in mathematics, physics, chemistry and biology, and is used to characterize systems whose behavior does not amount to a superposition of simple building blocks, but rather features complex and often chaotic patterns and phenomena. Each chapter of the book features a synopsis that not only recaps the recent progress in each field but also charts the challenges that lie ahead. This interdisciplinary book presents contributions from a diverse group of experts from various fields to provide an overview of each field's past, present and future. It will appeal to both beginners and seasoned researchers in nonlinear science, numerous areas of physics (optics, quantum physics, biophysics), and applied mathematics (ODEs, PDEs, dynamical systems, machine learning) as well as engineering.

Collates the most relevant and up to date information on renewable energy systems in a user friendly format for undergraduate and high school students Focused on power production technologies from renewable energy sources. An introduction to how sources of renewable energy work; their advantages and drawbacks. Timely text with the need for fast adoption of renewable energy technologies around the world. Diverse audience including students with some scientific background such as final year in high school wanting to know more about combatting climate change.

This book offers an overview of the statistical methods used in clinical and observational vaccine studies. Pursuing a practical rather than theoretical approach, it presents a range of real-world examples with SAS codes, making the application of the methods straightforward. This revised edition has been significantly expanded to reflect the current interest in this area. It opens with two introductory chapters on the immunology of vaccines to provide readers with the necessary background knowledge. It then continues with an in-depth exploration of the analysis of immunogenicity data. Discussed are, amongst others, maximum likelihood estimation for censored antibody titers, ANCOVA for antibody values, analysis of data of equivalence, and non-inferiority immunogenicity studies. Other topics covered include fitting protection curves to data from vaccine efficacy studies, and the analysis of vaccine safety data. In addition, the book features four new chapters on vaccine field studies: an introductory one, one on randomized vaccine efficacy studies, one on observational vaccine effectiveness studies, and one on the meta-analysis of vaccine efficacy studies. The book offers useful insights for statisticians and epidemiologists working in the pharmaceutical industry or at vaccines institutes, as well as graduate students interested in pharmaceutical statistics.