This book provides a reference for people working in the design, development, and manufacturing of medical devices. ​While there are no statistical methods specifically intended for medical devices, there are methods that are commonly applied to various problems in the design, manufacturing, and quality control of medical devices. The aim of this book is not to turn everyone working in the medical device industries into mathematical statisticians; rather, the goal is to provide some help in thinking statistically, and knowing where to go to answer some fundamental questions, such as justifying a method used to qualify/validate equipment, or what information is necessary to support the choice of sample sizes. While, there are no statistical methods specifically designed for analysis of medical device data, there are some methods that seem to appear regularly in relation to medical devices. For example, the assessment of receiver operating characteristic curves is fundamental to development of diagnostic tests, and accelerated life testing is often critical for assessing the shelf life of medical device products. Another example is sensitivity/specificity computations are necessary for in-vitro diagnostics, and Taguchi methods can be very useful for designing devices. Even notions of equivalence and noninferiority have different interpretations in the medical device field compared to pharmacokinetics. It contains topics such as dynamic modeling, machine learning methods, equivalence testing, and experimental design, for example. This book is for those with no statistical experience, as well as those with statistical knowledgeable—with the hope to provide some insight into what methods are likely to help provide rationale for choices relating to data gathering and analysis activities for medical devices.

Translational Sports Medicine covers the principles of evidence-based medicine and applies these principles to the design of translational investigations. This title is an indispensable tool in grant writing and funding efforts with its practical, straightforward approach that will help aspiring investigators navigate challenging considerations in study design and implementation. It provides valuable discussions of the critical appraisal of published studies in translational sports medicine, allowing the reader to learn how to evaluate the quality of such studies with respect to measuring outcomes and to make effective use of all types of evidence in patient care. In short, this practical guidebook will be of interest to every medical researcher or sports medicine clinician who has ever had a good clinical idea but not the knowledge of how to test it. Readers will come to fully understand important concepts, including case-control study, prospective cohort study, randomized trial and reliability study. Medical researchers will benefit from greater confidence in their ability to initiate and execute their own investigations, avoid common pitfalls in translational sports medicine, and know what is needed in collaboration.

The novel coronavirus 2019 (COVID-19) has caused a serious global pandemic in just eight months. Nearly every country and territory in the world has been affected by the virus. The virulence and infection rate of the virus are profound, and has required extreme social distancing measures across the globe in order to prevent overwhelming the healthcare services and hospitals. COVID-19 appears to have the greatest effects on elderly individuals and those who have co-morbid diseases, such as heart disease, asthma, and diabetes. As the peak begins to slow in many countries, the death rates remain high amidst justified fears of a second wave. A rapid worldwide mobilization has begun to identify effective treatments and develop vaccines. This new volume will increase readers' understanding of the ongoing COVID-19 pandemic through a series of chapters that address these concerns. Leading experts will discuss the effects of the virus in cases of co-morbidities, new treatment approaches, mental health aspects of the pandemic, and convey the results of survey studies. The book will be an excellent resource for researchers studying virology, metabolic diseases, respiratory disorders, and clinical scientists, physicians, drug companies, and healthcare services and workers.

This book is comprised of presentations delivered at the 5th Workshop on Biostatistics and Bioinformatics held in Atlanta on May 5-7, 2017. Featuring twenty-two selected papers from the workshop, this book showcases the most current advances in the field, presenting new methods, theories, and case applications at the frontiers of biostatistics, bioinformatics, and interdisciplinary areas. Biostatistics and bioinformatics have been playing a key role in statistics and other scientific research fields in recent years. The goal of the 5th Workshop on Biostatistics and Bioinformatics was to stimulate research, foster interaction among researchers in field, and offer opportunities for learning and facilitating research collaborations in the era of big data. The resulting volume offers timely insights for researchers, students, and industry practitioners.

This book commemorates the scientific contributions of distinguished statistician, Andrei Yakovlev. It reflects upon Dr. Yakovlev's many research interests including stochastic modeling and the analysis of micro-array data, and throughout the book it emphasizes applications of the theory in biology, medicine and public health. The contributions to this volume are divided into two parts. Part A consists of original research articles, which can be roughly grouped into four thematic areas: (i) branching processes, especially as models for cell kinetics, (ii) multiple testing issues as they arise in the analysis of biologic data, (iii) applications of mathematical models and of new inferential techniques in epidemiology, and (iv) contributions to statistical methodology, with an emphasis on the modeling and analysis of survival time data. Part B consists of methodological research reported as a short communication, ending with some personal reflections on research fields associated with Andrei and on his approach to science. The Appendix contains an abbreviated vitae and a list of Andrei's publications, complete as far as we know. The contributions in this book are written by Dr. Yakovlev's collaborators and notable statisticians including former presidents of the Institute of Mathematical Statistics and of the Statistics Section of the AAAS. Dr. Yakovlev's research appeared in four books and almost 200 scientific papers, in mathematics, statistics, biomathematics and biology journals. Ultimately this book offers a tribute to Dr. Yakovlev's work and recognizes the legacy of his contributions in the biostatistics community.

Is designed to serve as a comprehensive and up-to-date manual for process, device, layout, and design engineers Covers topics that designers as well as layout and process engineers deal with every day, such as front-end-of-line (FEOL) and back-end-of-line BEOL DRs, coverage DRs, stressors DRs, and modeling, foundry reliability, and advance (20 nm) step-by-step process flow Can be used by those studying semiconductors and microelectronics as well as students and researchers in the fields of electrical engineering, physics, materials engineering, and chemical engineering

The last documented sighting of the Ivory-billed Woodpecker--one of the rarest and most intriguing animals in the world--was noted over 50 years ago. Long thought to be extinct, the 2005 announcement of a sighting in Arkansas sparked tremendous enthusiasm and hope that this species could yet be saved. But the subsequent failure of a massive search to relocate Ivorybills in Arkansas made hope for the species' revival short-lived.
Here, noted ornithologist Geoffrey Hill tells the story of how he and two of his colleagues stumbled upon what may be a breeding population of Ivory-billed Woodpeckers in the swamps of northern Florida. He relates their laborious attempts to document irrefutable evidence for the existence of this shy, elusive bird following the failure of a much larger research team to definitively prove the bird's existence.
Hill tells of his travails both in and out of the vast swamp wilderness, pulling back the curtain to reveal the little-seen political maneuvering that is part of all modern science. He explains how he and his group decided who to exclude or include as their findings came in, and why they felt the need to keep their search a secret. Hill returns repeatedly to how expectations can guide observations, and how tempting it is to oversell evidence in the face of the struggle between an overwhelming desire to find the bird and the need to retain integrity and objectivity.
Written like a good detective story, Ivorybill Hunters also delves into the science behind the rediscovery of a species, explaining how professional ornithologists follow up on a sight record of a rare bird, and how this differs from the public's perception of how scientistsactually work. Hill notes the growing role of amateurs in documenting bird activity and discusses how the community of birders and nature lovers can see, enjoy, and help preserve these birds.
Ivorybill Hunters will prove a fascinating read for those with an interest in natural history, adventure, environmental conservation, and science, as well as the more than forty-six million Americans who now call themselves birdwatchers.

This book presents a range of current research topics in biological network modeling, as well as its application in studies on human hosts, pathogens, and diseases. Systems biology is a rapidly expanding field that involves the study of biological systems through the mathematical modeling and analysis of large volumes of biological data. Gathering contributions from renowned experts in the field, some of the topics discussed in depth here include networks in systems biology, the computational modeling of multidrug-resistant bacteria, and systems biology of cancer. Given its scope, the book is intended for researchers, advanced students, and practitioners of systems biology. The chapters are research-oriented, and present some of the latest findings on their respective topics.

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.

Data fusion problems arise frequently in many different fields. This book provides a specific introduction to data fusion problems using support vector machines. In the first part, this book begins with a brief survey of additive models and Rayleigh quotient objectives in machine learning, and then introduces kernel fusion as the additive expansion of support vector machines in the dual problem. The second part presents several novel kernel fusion algorithms and some real applications in supervised and unsupervised learning. The last part of the book substantiates the value of the proposed theories and algorithms in MerKator, an open software to identify disease relevant genes based on the integration of heterogeneous genomic data sources in multiple species. The topics presented in this book are meant for researchers or students who use support vector machines. Several topics addressed in the book may also be interesting to computational biologists who want to tackle data fusion challenges in real applications. The background required of the reader is a good knowledge of data mining, machine learning and linear algebra.

This detailed book addresses major goals of regenerative medicine and the cardiovascular research community with techniques to replenish lost cardiomyocytes, avoid scar-associated pathology, and improve myocardial infarction (MI) outcomes. The collection begins with a section on cardiac injury models, including zebrafish, neonatal and adult mice, and pigs, and continues with sections covering culturing cardiomyocytes from different species as well as methods for labeling or manipulation of cardiac tissue for the purpose of answering questions in regeneration. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Cardiac Regeneration: Methods and Protocols provides the latest models and methods used in the field of heart regeneration, designed for researchers interested in establishing these assays in their laboratories to reproduce or extend findings, and for familiarizing themselves with the field if it is new to them. The chapter "Ventricular Cryoinjury as a Model to Study Heart Regeneration in Zebrafish" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

This book provides a powerful diagnosis of why the global governance of science struggles in the face of emerging powers. Through unpacking critical events in China and India over the past twenty years, it demonstrates that the 'subversiveness' assumed in the two countries' rise in the life sciences reflects many of the regulatory challenges that are shared worldwide. It points to a decolonial imperative for science governance to be responsive and effective in a cosmopolitan world. By highlighting epistemic injustice within contemporary science, the book extends theories of decolonisation. -- .

An Innovative Approach to Studying and Treating Cancer: Targeting pH describes one of the few characteristics of cancer that is not shared by normal tissues: the reversal or inversion of the pH gradient when intracellular pH becomes alkaline and extracellular pH becomes acid. This is now recognized as one of the most selective and differential hallmarks of all cancer cells and tissues, being the opposite of the condition found in normal tissues and a potential target in order to achieve either a stable disease or even regression with no toxicity. The book discusses topics such as lactic acid and its transport system in the pH paradigm, mechanisms to decrease extra cellular pH and increase intracellular pH, NHE-1 activity in cancer, carbonic anhydrases, vacuolar ATPase proton pump, and the sodium-bicarbonate cotransporter system. Additionally, it discusses complementary pharmacological interventions, cellular acidification and extracellular alkalinization as a new and integral approach to cancer treatment.

Handbook of Essential Oils: Science, Technology, and Applications presents the development, use and marketing of essential oils. Exciting new topics include insecticidal applications, but there is a continued focus on the chemistry, pharmacology and biological activities of essential oils. The third edition unveils new chapters including the insect repellent and insecticidal activities of essential oils, the synergistic activity with antibiotics against resistant microorganisms, essential oil applications in agriculture, plant-insect interactions, and pheromones and contaminants in essential oils. Features Presents a wide range of topics including sources, production, analysis, storage, transport, chemistry, aromatherapy, pharmacology, toxicology, metabolism, technology, biotransformation, application, utilization, and trade Includes discussions of biological activity testing, results of antimicrobial and antioxidant tests, and penetration enhancing activities useful in drug delivery Covers up-to-date regulations and legislative procedures, together with the use of essential oils in perfumes, cosmetics, feed, food, beverages, and pharmaceutical industries Unveils new chapters including the insect repellent and insecticidal activities of essential oils, the synergistic activity with antibiotics against resistant microorganisms, essential oil applications in agriculture, plant-insect interactions, and pheromones and contaminants in essential oils The American Botanical Council (ABC) named the second edition as the recipient of the 2016 ABC James A. Duke Excellence in Botanical Literature Award and recognized that essential oils are one of the fastest growing segments of the herbal product market

This book reviews all important aspects of dietary research associated with cancer with the aim of shedding new light on these conditions through combined understanding of traditional and new paradigms. The book is divided into 17 chapters, the first portion reinterprets healthy diets for cancer based on up-to-date evidence from a network science perspective, examining the dietary patterns, outcome of diet related clinical trials, emerging framework of molecular mechanisms and interactions of dietary interventions and their applications in personalized diet, ground realities of benefits and regulatory frame work for functional foods, nutraceuticals and supplements in cancer prevention and upcoming future prospectus in diet-cancer research.. The later part of the book discusses recent advances in understanding of the elaborative discourse on cancer and fasting, covering, for example, calorie restriction and fasting mimicking diet. Finally, different Dietary research and approaches are considered in the context of novel intervention for cancer research. Dietary Research in Cancer will be of interest for all researchers, nutritionists, students and clinicians in the field.

This book offers a historical account of the development of the On-X carbon mechanical heart valve, discussing the steps involved in developing the materials, and describes how the design of the valve has evolved over the years. It explores both the scientific and corporate problems researchers have encountered over the years in the journey of making a mechanical heart valve. The chapters provide a detailed description of the design of the mechanical leaflet-based prosthetic valve, with a particular focus on blood flow characteristics. This book includes an overview of the state-of-the-art in the chemistry and physics of carbon, and compiles the advances in carbon-based technology and its applications in cardiac and thoracic surgery. This is an ideal book for bioengineers working on the chemistry and physics of carbon, and other professionals involved with cardiac and thoracic surgery.

Features: • Provides an accessible introduction to the subject. • Up to date with the latest advances in emerging technologies and procedures. • Provides a historical overview of CT technology.

This book allows readers to gain an in-depth understanding of the role of real-world data in pharmacoepidemiology, and highlights the strengths and limitations of the respective databases with regard to pharmacoepidemiological research. Over the past decade, the increasing use of real-world data in pharmacoepidemiological research has been accompanied by a growing recognition of the value of real-world evidence in clinical and regulatory decision-making. Electronic healthcare databases allow analyses of drug and vaccine utilization in routine care after approval, as well as investigations of their comparative effectiveness and safety. They are especially useful for the identification of rare risks and rare drug exposures over long periods of time, and as such sustainably extend the basis for drug safety research. This book provides an introduction to the role of real-world data in pharmacoepidemiological research and the main developments in the last 15 years. It also offers a comprehensive overview of the general classification characteristics of databases, together with their strengths and limitations, and a detailed description of 21 individual databases, written by professionals who work with or maintain them.

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.

Introduction to Modeling in Physiology and Medicine, Second Edition, develops a clear understanding of the fundamental principles of good modeling methodology. Sections show how to create valid mathematical models that are fit for a range of purposes. These models are supported by detailed explanation, extensive case studies, examples and applications. This updated edition includes clearer guidance on the mathematical prerequisites needed to achieve the maximum benefit from the material, a greater detail regarding basic approaches to modeling, and discussions on non-linear and stochastic modeling. The range of case study material has been substantially extended, with examples drawn from recent research experience. Key examples include a cellular model of insulin secretion and its extension to the whole-body level, a model of insulin action during a meal/oral glucose tolerance test, a large-scale simulation model of type 1 diabetes and its use in in silico clinical trials and drug trials.

This book introduces ecologists to the wonderful world of modern tools for data analysis, especially multivariate analysis. For biologists with relatively little prior knowledge of statistics, it introduces a modern, advanced approach to data analysis in an intuitive and accessible way. The book begins by reviewing some core principles in statistics, and relates common methods to the linear model, a general framework for modeling data where the response is continuous. This is then extended to discrete data using generalized linear models, to designs with multiple sampling levels via mixed models, and to situations where there are multiple response variables via model-based approaches to multivariate analysis. Along the way there is an introduction to: important principles in model selection; adaptations of the model to handle non-linearity and cyclical variables; dependence due to structured correlation in time, space or phylogeny; and design-based techniques for inference that can relax some of the modelling assumptions. It concludes with a range of advanced topics in model-based multivariate analysis relevant to the modern ecologist, including fourth corner, latent variable and copula models. Examples span a variety of applications including environmental monitoring, species distribution modeling, global-scale surveys of plant traits, and small field experiments on biological controls. Math Boxes throughout the book explain some of the core ideas mathematically for readers who want to delve deeper, and R code is used throughout. Accompanying code, data, and solutions to exercises can be found in the ecostats R package on CRAN.

"Examines all known industrial processes using shape selective zeolites. Second Edition contains new, up-to-date information on the specific features that make zeolites shape selective, the role shape selective catalysis can play providing environmentally clean fuels, 12-membered oxygen ring systems, mesopore systems, and more."

Fundamentals of Nano-Textile Science provides a detailed overview of advanced nano-textiles methods, techniques, and treatments along with explanations of a wide range of applications. This book places emphasis on nanotechnology-based textile enhancements that provide high durability, better affinity, and more functionality in textile material and that overcomes the limitation of conventional processes in the textile industry. The first section of the book deals with the production method of nano-textile fibers. It elaborates how nano-techniques are used for producing textile fiber and discusses various pretreatment processes of textile materials using such methods as nano-scouring, nanobiophotoscouring, nano-bleaching, nano-softening, and nano-surface activation. The second section discusses the wide range of nanofinishing applications to make textile materials antimicrobial, flame retardant, UV-protected, etc. It also discusses different techniques and treatments applied on the surface of the finished product using plasma technology or layer-by-layer deposition techniques. This section also covers nano-based textile applications such as for sports clothing, military textiles, high-performance clothing, or smart wearable high-tech nano-textiles. In the last section, the book concludes with an overview of nanotechnological advancements being used for the management of textile effluents and for removing dyes from wastewater in textile processing, focusing on the health and safety perspective of nano-textiles. The book is written by highly experienced authors in this area and provides an immensely valuable resource for scientific researchers, academics, professionals, engineers, technologists and innovators working on designing and manufacturing textile materials. The volume will be an important resource for those who are looking for innovative production technologies or the latest nanotechnology developments in the design and manufacturing of nano-textile materials. Key features: Provides a detailed theoretical overview of nano-textiles along with novel advanced techniques, methods, treatments for enhanced properties and applications of textiles. Covers relevant techniques applied on the surface of the finished textile product using plasma technology or layer-by-layer deposition techniques Introduces various nanofinishes and applications including for sports clothing, military textiles, high performance clothing or smart wearable high-tech textiles Describes wearable smart nano-textile parameters, types of materials used, applications, and future innovations for prevention of hazards and pandemic diseases Explores innovative methods and treatments for management or removal of textile waste

Provides valuable information on standard protocols for the synthesis of green nanomaterials Promotes advanced technologies for applications of green and sustainable nanomaterials Demonstrates numerous characterization tools for working with sustainable nanomaterials Explores various application areas of the synthesized nanomaterials With the major goal of this volume to take a stock of sophistication in the development of a spectrum of recent nanomaterials that are eco-benign and sustainable, this volume will be a valuable addition to the libraries of faculty and scientists in green and sustainable chemistry and engineering.

Highlights the utilization of nanofillers. Investigates the moisture absorption and ageing on the physio-chemical, mechanical, thermal properties of the vinyl ester-based composites. Considers the influence of hybridization, fibre architecture, and fibre-ply orientation on the mechanical and thermal properties of vinyl ester-based biocomposites. Discusses the effects of the alkali treatment. Chapters are written by global experts to cover a diverse scope of industry applications for fibre-reinforced polymer composites.