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Author: Jeffrey M. Smith
Publisher: Uit Cambridge
ISBN:
Category : Health & Fitness
Languages : en
Pages : 344
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Book Description
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.
Author: Jeffrey M. Smith
Publisher: Uit Cambridge
ISBN:
Category : Health & Fitness
Languages : en
Pages : 344
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Book Description
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.
Author: Joseph Fletcher
Publisher: Prometheus Books
ISBN: 1615927859
Category : Health & Fitness
Languages : en
Pages : 240
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Book Description
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.
Author: Jeffrey M. Smith
Publisher: Yes Books
ISBN: 9780972966504
Category : Health & Fitness
Languages : en
Pages : 296
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Book Description
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."
Author: Melanie Mitchell
Publisher: MIT Press
ISBN: 9780262631853
Category : Computers
Languages : en
Pages : 226
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Book Description
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.
Author: Steven M. Druker
Publisher:
ISBN: 9780985616908
Category : Generic engineering
Languages : en
Pages : 0
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Book Description
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.
Author: Eyal Wirsansky
Publisher: Packt Publishing Ltd
ISBN: 1838559183
Category : Computers
Languages : en
Pages : 334
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Book Description
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.
Author: Jaya Ramji-Nogales
Publisher: NYU Press
ISBN: 0814741061
Category : Law
Languages : en
Pages : 356
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Book Description
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.
Author: Frances Buontempo
Publisher:
ISBN: 9781680506204
Category : Artificial intelligence
Languages : en
Pages : 0
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Book Description
Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to machine learning. Discover machine learning algorithms using a handful of self-contained recipes. Create your own genetic algorithms, nature-inspired swarms, Monte Carlo simulations, and cellular automata. Find minima and maxima, using hill climbing and simulated annealing. Try selection mathods, including tournament and roulette wheels. Learn about heuristics, fitness functions, metrics, and clusters.
Author: James Lyons-Weiler
Publisher: Skyhorse
ISBN: 1510710876
Category : Health & Fitness
Languages : en
Pages : 472
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Book Description
The Environmental and Genetic Causes of Autism delves deep into the full body of past and current research to reveal how genetic predispositions and environmental factors can combine to produce the conditions autism and autism spectrum disorders (ASD). To make this groundbreaking volume, Dr. James Lyons-Weiler combed through the past fifty years of published research on autism, exploring subjects such as genetic variation, mechanisms of neurotoxicity of metals and pesticides, and the central and combined roles of each in causing autism. Lyons-Weiler provides a major overview of all aspects of the condition of autism, reviews changes in diagnoses and treatments, and explains how genetic information can be used to tailor effective treatments, and sometimes reversals, of the symptoms. He also presents practical forward-looking suggestions on how to design future studies to facilitate the discovery of biomarkers for autism risk and how to classify the full range of autism spectrum disorders. Autism is considered one of the most mystifying conditions of our day, and alarmed scientists, doctors, politicians, and parents are desperately trying to understand why the condition is escalating. According to the CDC, rates in the United States have risen from an estimated one in two thousand children in 1980, to one in sixty-eight in 2012, and a new National Health Interview Survey shows a rate of one in forty-five. By the time you read this book, that number may have changed yet again. While most autism researchers focus on either environmental or genetic causes of autism, Lyons-Weiler’s opus demonstrates that to fully understand the condition and to finally put its rate on the decrease, it is essential to pay attention to the science showing how the two classes of factors interact.
Author: Oliver Kramer
Publisher: Springer
ISBN: 331952156X
Category : Technology & Engineering
Languages : en
Pages : 94
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Book Description
This book introduces readers to genetic algorithms (GAs) with an emphasis on making the concepts, algorithms, and applications discussed as easy to understand as possible. Further, it avoids a great deal of formalisms and thus opens the subject to a broader audience in comparison to manuscripts overloaded by notations and equations. The book is divided into three parts, the first of which provides an introduction to GAs, starting with basic concepts like evolutionary operators and continuing with an overview of strategies for tuning and controlling parameters. In turn, the second part focuses on solution space variants like multimodal, constrained, and multi-objective solution spaces. Lastly, the third part briefly introduces theoretical tools for GAs, the intersections and hybridizations with machine learning, and highlights selected promising applications.
