Integrative medicine is an approach to wellness that makes use of both conventional and alternative therapies to achieve optimal health and healing. Nutrition-based therapies are consistently among the highest used alternative therapies to treat a wide variety of illnesses. This book provides consumers and health care professionals with practical guidance on integrating nutrition therapies into disease prevention and management. It provides reliable and accurate information from experts in the nutrition field including dietitians, nutritionists, physicians, researchers, and academic professionals. Integrative Nutrition Therapy includes up-to-date information on dietary supplements, popular diets, physical activity, and food allergies. The book covers disease prevention for cancer, cardiovascular disease, diabetes, and obesity. Additional topics include liver/pancreatic conditions and musculoskeletal disorders as well as nutrigenomics, epigenetics, and metabolomics. The book provides evidence-based recommendations for which therapies might be appropriate for various conditions and discusses the possible adverse effects that may develop. It also includes guidelines and suggestions for creating individualized, integrative care plans.Integrative Nutrition Therapy is organized in a systematic manner that presents the scientific data using an evidence-based, how-to approach. An overview of integrative medicine is written by Dr. Roberta Lee, a leading authority in the field. Award-winning nutrition experts provide practical knowledge for the integrative practitioner, covering topics such as: Nutrition screening and assessment Search for the optimum diet Functional foods and nutritional supplements Nutritional recommendations for women's health Health benefits of physical activity Diet and mental health Although unanswered questions still exist, this resource gives you a much-needed guide to the information currently available on nutrition and lifestyle-based therapies.

The world is awash in data. This volume of data will continue to increase. In the pharmaceutical industry, much of this data explosion has happened around biomarker data. Great statisticians are needed to derive understanding from these data. This book will guide you as you begin the journey into communicating, understanding and synthesizing biomarker data. -From the Foreword, Jared Christensen, Vice President, Biostatistics Early Clinical Development, Pfizer, Inc. Biomarker Analysis in Clinical Trials with R offers practical guidance to statisticians in the pharmaceutical industry on how to incorporate biomarker data analysis in clinical trial studies. The book discusses the appropriate statistical methods for evaluating pharmacodynamic, predictive and surrogate biomarkers for delivering increased value in the drug development process. The topic of combining multiple biomarkers to predict drug response using machine learning is covered. Featuring copious reproducible code and examples in R, the book helps students, researchers and biostatisticians get started in tackling the hard problems of designing and analyzing trials with biomarkers. Features: Analysis of pharmacodynamic biomarkers for lending evidence target modulation. Design and analysis of trials with a predictive biomarker. Framework for analyzing surrogate biomarkers. Methods for combining multiple biomarkers to predict treatment response. Offers a biomarker statistical analysis plan. R code, data and models are given for each part: including regression models for survival and longitudinal data, as well as statistical learning models, such as graphical models and penalized regression models.

The concepts of estimands, analyses (estimators), and sensitivity are interrelated. Therefore, great need exists for an integrated approach to these topics. This book acts as a practical guide to developing and implementing statistical analysis plans by explaining fundamental concepts using accessible language, providing technical details, real-world examples, and SAS and R code to implement analyses. The updated ICH guideline raises new analytic and cross-functional challenges for statisticians. Gaps between different communities have come to surface, such as between causal inference and clinical trialists, as well as among clinicians, statisticians, and regulators when it comes to communicating decision-making objectives, assumptions, and interpretations of evidence. This book lays out a path toward bridging some of these gaps. It offers ? A common language and unifying framework along with the technical details and practical guidance to help statisticians meet the challenges ? A thorough treatment of intercurrent events (ICEs), i.e., postrandomization events that confound interpretation of outcomes and five strategies for ICEs in ICH E9 (R1) ? Details on how estimands, integrated into a principled study development process, lay a foundation for coherent specification of trial design, conduct, and analysis needed to overcome the issues caused by ICEs: ? A perspective on the role of the intention-to-treat principle ? Examples and case studies from various areas ? Example code in SAS and R ? A connection with causal inference ? Implications and methods for analysis of longitudinal trials with missing data Together, the authors have offered the readers their ample expertise in clinical trial design and analysis, from an industrial and academic perspective.

This book addresses various clinical and sub clinical applications of antioxidant nutraceuticals, with a primary focus on preventive use for general wellness, common ailments, and such chronic illnesses as cancer and neurological applications. This unique book captures the applications of natural antioxidants, which have been used for thousands of years in Traditional Chinese Medicine and Ayurvedic Medicine as well as modern nutraceuticals formulations. It covers antioxidant applications in clinical scenarios including the historical perspective, basic antioxidant properties and applications, anti-inflammatory properties, and antioxidant applications in a variety of clinical conditions.

Spectral, Photon Counting Computed Tomography is a comprehensive cover of the latest developments in the most prevalent imaging modality (x-ray computed tomography (CT)) in its latest incarnation: Spectral, Dual-Energy, and Photon Counting CT. Disadvantages of the conventional single-energy technique used by CT technology are that different materials cannot be distinguished and that the noise is larger. To address these problems, a novel spectral CT concept has been proposed. Spectral Dual-Energy CT (DE-CT) acquires two sets of spectral data, and Spectral Photon Counting CT (PC-CT) detects energy of x-ray photons to reveal additional material information of objects by using novel energy-sensitive, photon-counting detectors. The K-edge imaging may be a gateway for functional or molecular CT. The book covers detectors and electronics, image reconstruction methods, image quality assessments, a simulation tool, nanoparticle contrast agents, and clinical applications for spectral CT.

Exam Board: SQA Level: Higher Subject: Biology First Teaching: August 2018 First Exam: May 2019 Get your best grade with comprehensive course notes and advice from Scotland's top experts, fully updated for the latest changes to SQA Higher assessment. How to Pass Higher Biology Second Edition contains all the advice and support you need to revise successfully for your Higher exam. It combines an overview of the course syllabus with advice from top experts on how to improve exam performance, so you have the best chance of success. - Revise confidently with up-to-date guidance tailored to the latest SQA assessment changes - Refresh your knowledge with comprehensive, tailored subject notes - Prepare for the exam with top tips and hints on revision techniques - Get your best grade with advice on how to gain those vital extra marks

An introduction to the Central Dogma of molecular biology and information flow in biological systems. A systematic overview of the methods for generating gene expression data. Background knowledge on statistical modeling and machine learning techniques. Detailed methodology of analyzing gene expression data with an example case study. Clustering methods for finding co-expression patterns from microarray, bulkRNA and scRNA data. A large number of practical tools, systems and repositories that are useful for computational biologists to create, analyze and validate biologically relevant gene expression patterns. Suitable for multi-disciplinary researchers and practitioners in computer science and biological sciences.

Cognizing the significance of fruits and vegetables in the human diet. This book is designed to provide an insight into the nutritional importance of fruits and vegetables in human health, disease prevention, managing stress and boosting immunity, especially in this COVID-19 pandemic. The book contains a very concise and precise information on nutraceuticals, their sources and benefits. It also contains the best possible information regarding common health issues faced by humans and their prevention with the help of bioactive compounds, maintaining a focus throughout on how nutraceuticals influence human health. The information provided in this book is truly based on scientific records of scientists working in the arena of bioactive compounds of fruits and vegetables and their role in disease prevention of humans as well as Food Safety and Standards Authority of India (FSSAI) acts and regulations. Note: Taylor & Francis does not sell or distribute the hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka.

Philosophical Perspectives on the Engineering Approach in Biology provides a philosophical examination of what has been called the most powerful metaphor in biology: The machine metaphor. The chapters collected in this volume discuss the idea that living systems can be understood through the lens of engineering methods and machine metaphors from both historical, theoretical, and practical perspectives. In their contributions the authors examine questions about scientific explanation and methodology, the interrelationship between science and engineering, and the impact that the use of engineering metaphors in science may have for bioethics and science communication, such as the worry that its wide application reinforces public misconceptions of the nature of new biotechnology and biological life. The book also contains an introduction that describes the rise of the machine analogy and the many ways in which it plays a central role in fundamental debates about e.g. design, adaptation, and reductionism in the philosophy of biology. The book will be useful as a core reading for professionals as well as graduate and undergraduate students in courses of philosophy of science and for life scientists taking courses in philosophy of science and bioethics.

The Kerguelen Islands, known also as the Desolation Islands, lie in the extreme south of the Indian Ocean. By the late nineteenth century they were still relatively unexplored, but they represented a fascinating puzzle: although the Islands were four thousand miles away from South America, they shared the same species of flora. Rodrigues, an island off the coast of Madagascar, was also a point of increasing interest among naturalists. While most archipelagic islands then discovered were volcanic, explorers noted that the caves of Rodrigues were formed of limestone, and that most local species were not indigenous. Like the Kerguelen Islands, they provided some of the first clear evidence that modern sea-levels were much altered from those of prehistory. Naturalists visited both locations as part of the expeditions to study the transit of Venus in 1874. Originally published in 1879, this collection of essays is a comprehensive catalogue of their findings.

Investigating Sexual Assault Cases, Second Edition serves as an essential textbook for courses in investigating rape and sexual assault. As with the first edition, this second edition includes the latest research and techniques in coverage of victimology, offender typology, investigative techniques, interviewing, and legal implications. This new, second edition includes chapters on child victims and molestation, sexual homicides as potentially staged events, grooming, interviewing techniques, and same-sex, elder, and special populations as victims of sexual assault. The book fills a current void in the body of literature on the topics of rape and sex crime investigation. Many previous writings, while informative, do not address all the investigative processes necessary for an investigation to be thorough and complete. By providing a fresh approach to the topic, the author aims to augment those writings and, ultimately, improving the reader' awareness by being much more attuned to the needs of-and taking investigative cures from-the victim. Key Features: Outlines the complete investigative process for sexual assault cases, from evidence collection and interviews to court and legal proceedings Addresses victims and victimology, offender typology, the importance of the investigative interviewing process, and working with attorneys Includes new chapters on grooming, sexual homicides, SAFE examinations, and child-specific interviewing techniques Added coverage looks at same-sex crimes, crimes against men, elder victims, and assault of vulnerable populations In addition to being used in coursework in Forensic Science and Criminal justice programs, Investigating Sexual Assault Cases, Second Edition will serve as an essential reference for police detectives, criminal and death investigators, legal professionals, sexual assault nurses, and those who provide health, and mental health, services to populations experiencing sexual assault.

Since the early 2000s, there has been increasing interest within the pharmaceutical industry in the application of Bayesian methods at various stages of the research, development, manufacturing, and health economic evaluation of new health care interventions. In 2010, the first Applied Bayesian Biostatistics conference was held, with the primary objective to stimulate the practical implementation of Bayesian statistics, and to promote the added-value for accelerating the discovery and the delivery of new cures to patients. This book is a synthesis of the conferences and debates, providing an overview of Bayesian methods applied to nearly all stages of research and development, from early discovery to portfolio management. It highlights the value associated with sharing a vision with the regulatory authorities, academia, and pharmaceutical industry, with a view to setting up a common strategy for the appropriate use of Bayesian statistics for the benefit of patients. The book covers: Theory, methods, applications, and computing Bayesian biostatistics for clinical innovative designs Adding value with Real World Evidence Opportunities for rare, orphan diseases, and pediatric development Applied Bayesian biostatistics in manufacturing Decision making and Portfolio management Regulatory perspective and public health policies Statisticians and data scientists involved in the research, development, and approval of new cures will be inspired by the possible applications of Bayesian methods covered in the book. The methods, applications, and computational guidance will enable the reader to apply Bayesian methods in their own pharmaceutical research.

Originally published in 1995, The Antievolution Pamphlets of Harry Rimmer is the sixth volume in the series, Creationism in Twentieth Century America. The volume brings together original sources from the prominent evangelist and pastor Harry Rimmer. The consortium of pamphlets in this volume detail Rimmer's antievolutionist sentiments, a notion which characterized his early writings. The pamphlets detail Rimmer's rhetoric on evolution and science from the early part of the 20th century as he travelled across America to disseminate his writings. The works in this volume address Rimmer's polemic on the danger posed by modern science and the consequential disassociation with religion. While Rimmer did not discount science itself, he argued for, what he termed, 'true science', claiming that modern science was based only in scientific opinion and not fact. As a self-proclaimed scientist, these writings take a unique view of the relationship between religion and science from this period through Rimmer's dual nature as both scientist and pastor. This volume will be of great interest to historians of natural history, science and religion.

Originally published in 1995, The Selected Works of George McCready Price is the seventh volume in the series, Creationism in Twentieth Century America, reissued in 2021. The volume brings together the original writings and pamphlets of George McCready Price, a leading creationist of the early antievolution crusade of the 1920s. McCready Price labelled himself the 'principal scientific authority of the Fundamentalists' and as a self-taught scientist he enjoyed more scientific repute amongst fundamentalists of the time. This interesting and unique collection of original source material includes five of his writings between 1906 and 1924, challenging the new Darwinian theory of evolution and natural selection through his writings on the natural sciences. His literature covers the topics of evolution and biology and critiques biological arguments for evolution. He also wrote widely on geology offering his own alternative argument of 'flood geography' in opposition to the Darwinian theory concerning palaeontology and geology. This volume will be of interest to historians of natural history and the creationism movement, as well as scholars of religion and American history.

The world's leading textbook on astrobiology-ideal for an introductory one-semester course and now fully revised and updated Are we alone in the cosmos? How are scientists seeking signs of life beyond our home planet? Could we colonize other planets, moons, or even other star systems? This introductory textbook, written by a team of four renowned science communicators, educators, and researchers, tells the amazing story of how modern science is seeking the answers to these and other fascinating questions. They are the questions that are at the heart of the highly interdisciplinary field of astrobiology, the study of life in the universe. Written in an accessible, conversational style for anyone intrigued by the possibilities of life in the solar system and beyond, Life in the Universe is an ideal place to start learning about the latest discoveries and unsolved mysteries in the field. From the most recent missions to Saturn's moons and our neighboring planet Mars to revolutionary discoveries of thousands of exoplanets, from the puzzle of life's beginning on Earth to the latest efforts in the search for intelligent life elsewhere, this book captures the imagination and enriches the reader's understanding of how astronomers, planetary scientists, biologists, and other scientists make progress at the cutting edge of this dynamic field. Enriched with a wealth of engaging features, this textbook brings any citizen of the cosmos up to speed with the scientific quest to discover whether we are alone or part of a universe full of life. An acclaimed text designed to inspire students of all backgrounds to explore foundational questions about life in the cosmos Completely revised and updated to include the latest developments in the field, including recent exploratory space missions to Mars, frontier exoplanet science, research on the origin of life on Earth, and more Enriched with helpful learning aids, including in-chapter Think about It questions, optional Do the Math and Special Topic boxes, Movie Madness boxes, end-of-chapter exercises and problems, quick quizzes, and much more Supported by instructor's resources, including an illustration package and test bank, available upon request

This book argues for the explanatory autonomy of the biological sciences. It does so by showing that scientific explanations in the biological sciences cannot be reduced to explanations in the fundamental sciences such as physics and chemistry and by demonstrating that biological explanations are advanced by models rather than laws of nature. To maintain the explanatory autonomy of the biological sciences, the author argues against explanatory reductionism and shows that explanation in the biological sciences can be achieved without reduction. Then, he demonstrates that the biological sciences do not have laws of nature. Instead of laws, he suggests that biological models usually do the explanatory work. To understand how a biological model can explain phenomena in the world, the author proposes an inferential account of model explanation. The basic idea of this account is that, for a model to be explanatory, it must answer two kinds of questions: counterfactual-dependence questions that concern the model itself and hypothetical questions that concern the relationship between the model and its target system. The reason a biological model can answer these two kinds of questions is due to the fact that a model is a structure, and the holistic relationship between the model and its target warrants the hypothetical inference from the model to its target and thus helps to answer the second kind of question. The Explanatory Autonomy of the Biological Sciences will be of interest to researchers and advanced students working in philosophy of science, philosophy of biology and metaphysics.

Network infrastructures are growing rapidly to meet the needs of business, but the required repolicing and reconfiguration provide challenges that need to be addressed. The software-defined network (SDN) is the future generation of Internet technology that can help meet these challenges of network management. This book includes quantitative research, case studies, conceptual papers, model papers, review papers, and theoretical backing on SDN. This book investigates areas where SDN can help other emerging technologies deliver more efficient services, such as IoT, industrial IoT, NFV, big data, blockchain, cloud computing, and edge computing. The book demonstrates the many benefits of SDNs, such as reduced costs, ease of deployment and management, better scalability, availability, flexibility and fine-grained control of traffic, and security. The book demonstrates the many benefits of SDN, such as reduced costs, ease of deployment and management, better scalability, availability, flexibility and fine-grained control of traffic, and security. Chapters in the volume address: Design considerations for security issues and detection methods State-of-the-art approaches for mitigating DDos attacks using SDN Big data using Apache Hadoop for processing and analyzing large amounts of data Different tools used for attack simulation Network policies and policy management approaches that are widely used in the context of SDN Dynamic flow tables, or static flow table management A new four-tiered architecture that includes cloud, SDN-controller, and fog computing Architecture for keeping computing resources available near the industrial IoT network through edge computing The impact of SDN as an innovative approach for smart city development More. The book will be a valuable resource for SDN researchers as well as academicians, research scholars, and students in the related areas.

Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provides a comprehensive introduction to the multiple imputation approach to missing data problems that are often encountered in data analysis. Over the past 40 years or so, multiple imputation has gone through rapid development in both theories and applications. It is nowadays the most versatile, popular, and effective missing-data strategy that is used by researchers and practitioners across different fields. There is a strong need to better understand and learn about multiple imputation in the research and practical community. Accessible to a broad audience, this book explains statistical concepts of missing data problems and the associated terminology. It focuses on how to address missing data problems using multiple imputation. It describes the basic theory behind multiple imputation and many commonly-used models and methods. These ideas are illustrated by examples from a wide variety of missing data problems. Real data from studies with different designs and features (e.g., cross-sectional data, longitudinal data, complex surveys, survival data, studies subject to measurement error, etc.) are used to demonstrate the methods. In order for readers not only to know how to use the methods, but understand why multiple imputation works and how to choose appropriate methods, simulation studies are used to assess the performance of the multiple imputation methods. Example datasets and sample programming code are either included in the book or available at a github site (https://github.com/he-zhang-hsu/multiple_imputation_book). Key Features Provides an overview of statistical concepts that are useful for better understanding missing data problems and multiple imputation analysis Provides a detailed discussion on multiple imputation models and methods targeted to different types of missing data problems (e.g., univariate and multivariate missing data problems, missing data in survival analysis, longitudinal data, complex surveys, etc.) Explores measurement error problems with multiple imputation Discusses analysis strategies for multiple imputation diagnostics Discusses data production issues when the goal of multiple imputation is to release datasets for public use, as done by organizations that process and manage large-scale surveys with nonresponse problems For some examples, illustrative datasets and sample programming code from popular statistical packages (e.g., SAS, R, WinBUGS) are included in the book. For others, they are available at a github site (https://github.com/he-zhang-hsu/multiple_imputation_book)

Sustainable Agriculture for Food Security: A Global Perspective takes an analytical approach to issues related to current agricultural practices. It looks at global geographical data and key statistical reports to aid readers in comparing, understanding, and making agricultural decisions. The book is divided into chapters with each dealing with a specific problem and its solutions, keeping in mind the context of geographical variations. The book first provides a historical overview of the socioeconomic importance of agriculture around the world along with a discussion on threats and opportunities in the agricultural sector. It goes on to explore the importance of water sources for agriculture, including rain-fed agriculture practices, water harvesting techniques, sustainable irrigation practices, and irrigation water management. Guidance on the usage of agrochemicals and solutions to their detrimental effects from non-standardized consumption is also addressed. The volume also includes a discussion on organic farming methods, certification standards, and key restrictions in crop production. Part 2 goes on to examine postharvest management practices used in different geographical areas along with analysis on the role of technology and obstacles in implementation. The commercialization of agriculture through food processing, branding, and retailing is reviewed along with suggestions on available marketing platforms and promotional aspects. It goes on to outline the situational analysis of food adulteration as well as norms and regulations of food security at the international level. Lastly, the concept of biofortification is explained along with methods and strategies of biofortified food production. The impact of biofortification over socioeconomic development of a specific country is also analyzed. Written for a wide audience, this volume is a thoughtful overview and analysis of the increasingly necessary topic of sustainable agriculture for food security and will be of interest to faculty and research scholars, working professionals, social activists, policymakers, farmers, and institutions and organizations involved in agricultural education, research, and development.

The World Health Organization estimates that there are 2.1 billion individuals with obesity globally. Nearly three quarters of adults in the United States are overweight or obese. The average individual with obesity cuts ten years off their life expectancy, yet less than 40% of physicians routinely counsel individuals concerning the adverse health consequences of obesity. Obesity Prevention and Treatment: A Practical Guide equips healthcare practitioners to include effective weight management counselling in the daily practice of medicine. Written by lifestyle medicine pioneer and cardiologist, Dr. James Rippe and obesity expert Dr. John Foreyt, this book provides evidence-based discussions of obesity and its metabolic consequences. A volume in the Lifestyle Medicine Series, it provides evidence-based information about the prevention and treatment of obesity through lifestyle measures, such as regular physical activity and sound nutrition, as well as the use of new medications or bariatric surgery available to assist in weight management. Provides a framework and practical strategies to assist practitioners in safe and effective treatments of obesity. Contains information explaining the relationship between obesity and increased risk of heart disease, diabetes, cancer, osteoarthritis, and other chronic conditions. Chapters begin with bulleted key points and conclude with a list of Clinical Applications. Written for practitioners at all levels, this user-friendly, evidence-based book on obesity prevention and treatment will be valuable to practitioners in general medicine or subspecialty practices.

This new volume offers a multi-pronged perspective on maize science, bringing together important recent research advances from several disciplines. The volume covers maize from origin to biotechnology. It provides an overview of recent world maize production along with technological advancements and green strategies in maize science. The authors cover the background of maize, its origin and domestication, ideotypes, botany, taxonomy, physiology of crop growth, methods of cultivation, production, nutritional functions, biotic and abiotic stress impacts, postharvest management and technology, maize grain quality, and advances in breeding and biotechnology, filling a gap in the literature of maize.

Wireless Sensor Networks and the Internet of Things: Future Directions and Applications explores a wide range of important and real-time issues and applications in this ever-advancing field. Different types of WSN and IoT technologies are discussed in order to provide a strong framework of reference, and the volume places an emphasis on solutions to the challenges of protection, conservation, evaluation, and implementation of WSN and IoT that lead to low-cost products, energy savings, low carbon usage, higher quality, and global competitiveness. The volume is divided into four sections that cover: Wireless sensor networks and their relevant applications Smart monitoring and control systems with the Internet of Things Attacks, threats, vulnerabilities, and defensive measures for smart systems Research challenges and opportunities This collection of chapters on an important and diverse range of issues presents case studies and applications of cutting-edge technologies of WSN and IoT that will be valuable for academic communities in computer science, information technology, and electronics, including cyber security, monitoring, and data collection. The informative material presented here can be applied to many sectors, including agriculture, energy and power, resource management, biomedical and health care, business management, and others.

Coherent treatment of a variety of approaches to multiple comparisons Broad coverage of topics, with contributions by internationally leading experts Detailed treatment of applications in medicine and life sciences Suitable for researchers, lecturers / students, and practitioners

This book is a practical guide for individuals responsible for creating products that are safe, effective, usable, and satisfying in the hands of the intended users. The contents are intended to reduce the number of use errors involving medical devices that have led to injuries and deaths. The book presents the strong connection between user interface requirements and risk management for medical devices and instructs readers how to develop specific requirements that are sufficiently comprehensive and detailed to produce good results - a user-friendly product that is likely to be used correctly. The book's tutorial content is complemented by many real-world examples of user interface requirements, including ones pertaining to an inhaler, automated external defibrillator, medical robot, and mobile app that a patient might use to manage her diabetes. The book is intended for people representing a variety of product development disciplines who have responsibility for producing safe, effective, usable, and satisfying medical devices, including those who are studying or working in human factors engineering, psychology, mechanical engineering, biomedical engineering, systems engineering, software programming, technical writing, industrial design, graphic design, and regulatory affairs.

This book is a practical guide for individuals responsible for creating products that are safe, effective, usable, and satisfying in the hands of the intended users. The contents are intended to reduce the number of use errors involving medical devices that have led to injuries and deaths. The book presents the strong connection between user interface requirements and risk management for medical devices and instructs readers how to develop specific requirements that are sufficiently comprehensive and detailed to produce good results - a user-friendly product that is likely to be used correctly. The book's tutorial content is complemented by many real-world examples of user interface requirements, including ones pertaining to an inhaler, automated external defibrillator, medical robot, and mobile app that a patient might use to manage her diabetes. The book is intended for people representing a variety of product development disciplines who have responsibility for producing safe, effective, usable, and satisfying medical devices, including those who are studying or working in human factors engineering, psychology, mechanical engineering, biomedical engineering, systems engineering, software programming, technical writing, industrial design, graphic design, and regulatory affairs.