Download or read book Genetic Roulette written by Jeffrey M. Smith and published by Uit Cambridge. This book was released on 2007 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Argues against the biotech industry's claim that genetically modified (GM) foods are safe, identifying sixty-five health risks of the foods that Americans eat every day, and showing how official safety assessments on GM crops are not competent to identify the health problems involved, and how industry research is rigged to avoid finding problems.
Download or read book The Ethics of Genetic Control written by Joseph Fletcher and published by Prometheus Books. This book was released on 2011-09-29 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: The patriarch of medical ethics explains why some accepted ethical values need to catch up with the science of human reproduction and why newer reproductive methods can be more "natural" and humane than those they replace.
Download or read book Seeds of Deception written by Jeffrey M. Smith and published by Yes Books. This book was released on 2005-03-30 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Without knowing it, Americans eat genetically modified (GM) food every day. While the food and chemical industries claim that GMO food is safe, a considerable amount of evidence shows otherwise. In Seeds of Deception, Jeffrey Smith, a former executive with the leading independent laboratory testing for GM presence in foods, documents these serious health dangers and explains how corporate influence and government collusion have been used to cover them up. The stories Smith presents read like a mystery novel. Scientists are offered bribes or threatened; evidence is stolen; data withheld or distorted. Government scientists who complain are stripped of responsibilities or fired. The FDA even withheld information from congress after a GM food supplement killed nearly a hundred people and permanently disabled thousands. While Smith was employed by the laboratory he was not allowed to speak on the health dangers or the cover-up. No longer bound by this agreement, Smith now reveals what he knows in this groundbreaking expose. Today, food companies sell GM foods that have not undergone safety studies. FDA scientists opposed this, but White House and industry pressure prevailed and the agency's final policy--co-authored by a former Monsanto attorney--denied the risks. The scientists' concerns were made public only after a lawsuit forced the agency to turn over internal documents. Dan Glickman, former Secretary of Agriculture, describes the government's pro-biotech mindset: "You felt like you were almost an alien, disloyal, by trying to present an open-minded view. . . . So I pretty much spouted the rhetoric. . . . It was written into my speeches." In Seeds of Deception Smith offers easy-to-understand descriptions of genetic engineering and explains why it can result in serious health problems. This well-documented, pivotal work will show you how to protect yourself and your family. DVD Overview Three videos in one: includes an interview with Jeffrey M. Smith, footage of scientists, and a look at the miraculous improvement in student behavior that accompanied a change in diet at a Wisconsin school. Also included is a lecture by Smith on "The Health Dangers of Genetically Engineered Foods and Their Cover-up."
Download or read book An Introduction to Genetic Algorithms written by Melanie Mitchell and published by MIT Press. This book was released on 1998-03-02 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics—particularly in machine learning, scientific modeling, and artificial life—and reviews a broad span of research, including the work of Mitchell and her colleagues. The descriptions of applications and modeling projects stretch beyond the strict boundaries of computer science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics, underscoring the exciting "general purpose" nature of genetic algorithms as search methods that can be employed across disciplines. An Introduction to Genetic Algorithms is accessible to students and researchers in any scientific discipline. It includes many thought and computer exercises that build on and reinforce the reader's understanding of the text. The first chapter introduces genetic algorithms and their terminology and describes two provocative applications in detail. The second and third chapters look at the use of genetic algorithms in machine learning (computer programs, data analysis and prediction, neural networks) and in scientific models (interactions among learning, evolution, and culture; sexual selection; ecosystems; evolutionary activity). Several approaches to the theory of genetic algorithms are discussed in depth in the fourth chapter. The fifth chapter takes up implementation, and the last chapter poses some currently unanswered questions and surveys prospects for the future of evolutionary computation.
Download or read book Genetic Roulette dvd written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Altered Genes Twisted Truth written by Steven M. Druker and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offers an exposé on the genetic engineering of foods, maintaining that the unduly reckless way it has been practiced is based, not on sound science, but the subversion of science, and that its promotion has been marked by corruption and the suppression or distortion of facts.
Download or read book Genetic Algorithms and Machine Learning for Programmers written by Frances Buontempo and published by Pragmatic Bookshelf. This book was released on 2019-01-23 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Now you can create your own genetic algorithms, nature-inspired swarms, Monte Carlo simulations, cellular automata, and clusters. Learn how to test your ML code and dive into even more advanced topics. If you are a beginner-to-intermediate programmer keen to understand machine learning, this book is for you. Discover machine learning algorithms using a handful of self-contained recipes. Build a repertoire of algorithms, discovering terms and approaches that apply generally. Bake intelligence into your algorithms, guiding them to discover good solutions to problems. In this book, you will: Use heuristics and design fitness functions. Build genetic algorithms. Make nature-inspired swarms with ants, bees and particles. Create Monte Carlo simulations. Investigate cellular automata. Find minima and maxima, using hill climbing and simulated annealing. Try selection methods, including tournament and roulette wheels. Learn about heuristics, fitness functions, metrics, and clusters. Test your code and get inspired to try new problems. Work through scenarios to code your way out of a paper bag; an important skill for any competent programmer. See how the algorithms explore and learn by creating visualizations of each problem. Get inspired to design your own machine learning projects and become familiar with the jargon. What You Need: Code in C++ (>= C++11), Python (2.x or 3.x) and JavaScript (using the HTML5 canvas). Also uses matplotlib and some open source libraries, including SFML, Catch and Cosmic-Ray. These plotting and testing libraries are not required but their use will give you a fuller experience. Armed with just a text editor and compiler/interpreter for your language of choice you can still code along from the general algorithm descriptions.
Download or read book Refugee Roulette written by Jaya Ramji-Nogales and published by NYU Press. This book was released on 2011-04-29 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first analysis of decisions at all four levels of the asylum adjudication process : the Department of Homeland Security, the immigration courts, the Board of Immigration Appeals, and the United States Courts of Appeals. The data reveal tremendous disparities in asylum approval rates, even when different adjudicators in the same office each considered large numbers of applications from nationals of the same country. After providing a thorough empirical analysis, the authors make recommendations for future reform. From publisher description.
Download or read book Hands On Genetic Algorithms with Python written by Eyal Wirsansky and published by Packt Publishing Ltd. This book was released on 2020-01-31 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the ever-growing world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine learning models using Python libraries such as DEAP, scikit-learn, and NumPy Key Features Explore the ins and outs of genetic algorithms with this fast-paced guide Implement tasks such as feature selection, search optimization, and cluster analysis using Python Solve combinatorial problems, optimize functions, and enhance the performance of artificial intelligence applications Book DescriptionGenetic algorithms are a family of search, optimization, and learning algorithms inspired by the principles of natural evolution. By imitating the evolutionary process, genetic algorithms can overcome hurdles encountered in traditional search algorithms and provide high-quality solutions for a variety of problems. This book will help you get to grips with a powerful yet simple approach to applying genetic algorithms to a wide range of tasks using Python, covering the latest developments in artificial intelligence. After introducing you to genetic algorithms and their principles of operation, you'll understand how they differ from traditional algorithms and what types of problems they can solve. You'll then discover how they can be applied to search and optimization problems, such as planning, scheduling, gaming, and analytics. As you advance, you'll also learn how to use genetic algorithms to improve your machine learning and deep learning models, solve reinforcement learning tasks, and perform image reconstruction. Finally, you'll cover several related technologies that can open up new possibilities for future applications. By the end of this book, you'll have hands-on experience of applying genetic algorithms in artificial intelligence as well as in numerous other domains.What you will learn Understand how to use state-of-the-art Python tools to create genetic algorithm-based applications Use genetic algorithms to optimize functions and solve planning and scheduling problems Enhance the performance of machine learning models and optimize deep learning network architecture Apply genetic algorithms to reinforcement learning tasks using OpenAI Gym Explore how images can be reconstructed using a set of semi-transparent shapes Discover other bio-inspired techniques, such as genetic programming and particle swarm optimization Who this book is for This book is for software developers, data scientists, and AI enthusiasts who want to use genetic algorithms to carry out intelligent tasks in their applications. Working knowledge of Python and basic knowledge of mathematics and computer science will help you get the most out of this book.
Download or read book The State of the World s Aquatic Genetic Resources for Food and Agriculture written by Food and Agriculture Organization of the United Nations and published by Food & Agriculture Org.. This book was released on 2019-07-24 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: The conservation, sustainable use and development of aquatic genetic resources (AqGR) is critical to the future supply of fish. The State of the World’s Aquatic Genetic Resources for Food and Agriculture is the first ever global assessment of these resources, with the scope of this first Report being limited to cultured AqGR and their wild relatives, within national jurisdiction. The Report draws on 92 reports from FAO member countries and five specially commissioned thematic background studies. The reporting countries are responsible for 96 percent of global aquaculture production. The Report sets the context with a review of the state of world’s aquaculture and fisheries and includes overviews of the uses and exchanges of AqGR, the drivers and trends impacting AqGR and the extent of ex situ and in situ conservation efforts. The Report also investigates the roles of stakeholders in AqGR and the levels of activity in research, education, training and extension, and reviews national policies and the levels of regional and international cooperation on AqGR. Finally, needs and challenges are assessed in the context of the findings from the data collected from the countries. The Report represents a snapshot of the present status of AqGR and forms a valuable technical reference document, particularly where it presents standardized key terminology and concepts.
Download or read book The Gene written by Siddhartha Mukherjee and published by Simon and Schuster. This book was released on 2016-05-17 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: The #1 NEW YORK TIMES Bestseller The basis for the PBS Ken Burns Documentary The Gene: An Intimate History Now includes an excerpt from Siddhartha Mukherjee’s new book Song of the Cell! From the Pulitzer Prize–winning author of The Emperor of All Maladies—a fascinating history of the gene and “a magisterial account of how human minds have laboriously, ingeniously picked apart what makes us tick” (Elle). “Sid Mukherjee has the uncanny ability to bring together science, history, and the future in a way that is understandable and riveting, guiding us through both time and the mystery of life itself.” —Ken Burns “Dr. Siddhartha Mukherjee dazzled readers with his Pulitzer Prize-winning The Emperor of All Maladies in 2010. That achievement was evidently just a warm-up for his virtuoso performance in The Gene: An Intimate History, in which he braids science, history, and memoir into an epic with all the range and biblical thunder of Paradise Lost” (The New York Times). In this biography Mukherjee brings to life the quest to understand human heredity and its surprising influence on our lives, personalities, identities, fates, and choices. “Mukherjee expresses abstract intellectual ideas through emotional stories…[and] swaddles his medical rigor with rhapsodic tenderness, surprising vulnerability, and occasional flashes of pure poetry” (The Washington Post). Throughout, the story of Mukherjee’s own family—with its tragic and bewildering history of mental illness—reminds us of the questions that hang over our ability to translate the science of genetics from the laboratory to the real world. In riveting and dramatic prose, he describes the centuries of research and experimentation—from Aristotle and Pythagoras to Mendel and Darwin, from Boveri and Morgan to Crick, Watson and Franklin, all the way through the revolutionary twenty-first century innovators who mapped the human genome. “A fascinating and often sobering history of how humans came to understand the roles of genes in making us who we are—and what our manipulation of those genes might mean for our future” (Milwaukee Journal-Sentinel), The Gene is the revelatory and magisterial history of a scientific idea coming to life, the most crucial science of our time, intimately explained by a master. “The Gene is a book we all should read” (USA TODAY).
Download or read book Gene Machine written by Venki Ramakrishnan and published by Basic Books. This book was released on 2018-11-06 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Nobel Prize-winning biologist tells the riveting story of his race to discover the inner workings of biology's most important molecule "Ramakrishnan's writing is so honest, lucid and engaging that I could not put this book down until I had read to the very end." -- Siddhartha Mukherjee, author of The Emperor of All Maladies and The Gene Everyone has heard of DNA. But by itself, DNA is just an inert blueprint for life. It is the ribosome -- an enormous molecular machine made up of a million atoms -- that makes DNA come to life, turning our genetic code into proteins and therefore into us. Gene Machine is an insider account of the race for the structure of the ribosome, a fundamental discovery that both advances our knowledge of all life and could lead to the development of better antibiotics against life-threatening diseases. But this is also a human story of Ramakrishnan's unlikely journey, from his first fumbling experiments in a biology lab to being the dark horse in a fierce competition with some of the world's best scientists. In the end, Gene Machine is a frank insider's account of the pursuit of high-stakes science.
Download or read book The Dream of the Perfect Child written by Joan Rothschild and published by Indiana University Press. This book was released on 2005 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: A feminist critique of bioethics and attitudes toward reproductive technologies.
Download or read book Genetic Algorithms in Search Optimization and Machine Learning written by David Edward Goldberg and published by Addison-Wesley Professional. This book was released on 1989 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: A gentle introduction to genetic algorithms. Genetic algorithms revisited: mathematical foundations. Computer implementation of a genetic algorithm. Some applications of genetic algorithms. Advanced operators and techniques in genetic search. Introduction to genetics-based machine learning. Applications of genetics-based machine learning. A look back, a glance ahead. A review of combinatorics and elementary probability. Pascal with random number generation for fortran, basic, and cobol programmers. A simple genetic algorithm (SGA) in pascal. A simple classifier system(SCS) in pascal. Partition coefficient transforms for problem-coding analysis.
Download or read book Choosing Between Possible Lives written by Rosamund Scott and published by Bloomsbury Publishing. This book was released on 2007-12-20 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: To what extent should parents be able to choose the kind of child they have? The unfortunate phrase 'designer baby' has become familiar in debates surrounding reproduction. As a reference to current possibilities the term is misleading, but the phrase may indicate a societal concern of some kind about control and choice in the course of reproduction. Typically, people can choose whether to have a child. They may also have an interest in choosing, to some extent, the conditions under which they do so, such as whether they have a child with a serious disability or disease. The purpose of this book is to explore the difficult and controversial question of the appropriate ethical and legal extent of reproductive autonomy in this context. The book examines ethical, legal and public policy issues in prenatal screening, prenatal diagnosis (PND), selective abortion and preimplantation genetic diagnosis (PGD). It explores the ethics of these selection practices and the ability of current ethical guidelines and legal mechanisms, including the law on selective abortion and wrongful birth, to deal with advances in genetic and other knowledge in these areas. Unlike in the United States, in England the relevant law is not inherently rights-based, but the impact of the Human Rights Act 1998 inevitably raises questions about the proper scope of reproductive autonomy in this context. The implications of the analysis are considered for the development of relevant law, public policy and ethical guidelines and will be of interest to academics in medical law and ethics, health professionals, lawyers, those working on public policy and students with an interest in these issues.
Download or read book Genetic Roulette on the Cognitive Rhetoric of Biorisk written by Craig A. Hamilton and published by . This book was released on 2002 with total page 9 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Ant Colony Optimization written by Marco Dorigo and published by MIT Press. This book was released on 2004-06-04 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overview of the rapidly growing field of ant colony optimization that describes theoretical findings, the major algorithms, and current applications. The complex social behaviors of ants have been much studied by science, and computer scientists are now finding that these behavior patterns can provide models for solving difficult combinatorial optimization problems. The attempt to develop algorithms inspired by one aspect of ant behavior, the ability to find what computer scientists would call shortest paths, has become the field of ant colony optimization (ACO), the most successful and widely recognized algorithmic technique based on ant behavior. This book presents an overview of this rapidly growing field, from its theoretical inception to practical applications, including descriptions of many available ACO algorithms and their uses. The book first describes the translation of observed ant behavior into working optimization algorithms. The ant colony metaheuristic is then introduced and viewed in the general context of combinatorial optimization. This is followed by a detailed description and guide to all major ACO algorithms and a report on current theoretical findings. The book surveys ACO applications now in use, including routing, assignment, scheduling, subset, machine learning, and bioinformatics problems. AntNet, an ACO algorithm designed for the network routing problem, is described in detail. The authors conclude by summarizing the progress in the field and outlining future research directions. Each chapter ends with bibliographic material, bullet points setting out important ideas covered in the chapter, and exercises. Ant Colony Optimization will be of interest to academic and industry researchers, graduate students, and practitioners who wish to learn how to implement ACO algorithms.
